diff --git a/.gitignore b/.gitignore index 897c1ffb..3d26d3b2 100644 --- a/.gitignore +++ b/.gitignore @@ -27,7 +27,9 @@ env/ htmlcov/ # uv -uv.lock +# Note: uv.lock is intentionally tracked — it pins all transitive deps for reproducibility. +# Uncomment the line below only if you deliberately choose not to commit the lock file. +# uv.lock # OS .DS_Store diff --git a/CLAUDE.md b/CLAUDE.md index 24a6db53..e7803935 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -83,7 +83,7 @@ OpenJarvis is a research framework for on-device AI organized around **five comp - **Storage backends** (`tools/storage/`): SQLite/FTS5 (default), FAISS, ColBERTv2, BM25, Hybrid (RRF fusion). All implement `MemoryBackend` ABC with `store()`, `retrieve()`, `delete()`, `clear()`. Canonical import: `from openjarvis.tools.storage.sqlite import SQLiteMemory`. Backward-compat shims in `memory/` still work. - **MCP adapter** (`tools/mcp_adapter.py`): `MCPToolAdapter` wraps external MCP server tools as native `BaseTool` instances. `MCPToolProvider` discovers tools from an MCP server. - **MCP server** (`mcp/server.py`): Exposes all built-in tools via JSON-RPC `tools/list` + `tools/call` (MCP spec 2025-11-25). Any MCP client (Claude, GPT, etc.) can discover and use OpenJarvis tools. -5. **Learning** (`src/openjarvis/learning/`) — Structured learning system with per-pillar policies. `LearningPolicy` ABC taxonomy: `IntelligenceLearningPolicy` (updates model routing), `AgentLearningPolicy` (updates agent logic), `ToolLearningPolicy` (updates tool usage). Implementations: `SFTPolicy` (learns query→model mapping from traces), `AgentAdvisorPolicy` (LM-guided agent restructuring), `ICLUpdaterPolicy` (in-context example + skill discovery). Router policies: `HeuristicRouter` (registered as "heuristic"), `TraceDrivenPolicy` (registered as "learned"), `GRPORouterPolicy` (stub, registered as "grpo"). `HeuristicRewardFunction` scores inference results on latency/cost/efficiency. +5. **Learning** (`src/openjarvis/learning/`) — Structured learning system with per-pillar policies. `LearningPolicy` ABC taxonomy: `IntelligenceLearningPolicy` (updates model routing), `AgentLearningPolicy` (updates agent logic). Implementations: `SFTRouterPolicy` (learns query→model mapping from traces; backward-compat alias `SFTPolicy`), `AgentAdvisorPolicy` (LM-guided agent restructuring), `ICLUpdaterPolicy` (in-context example + skill discovery, registered as `AgentLearningPolicy`). Router policies: `HeuristicRouter` (registered as "heuristic"), `TraceDrivenPolicy` (registered as "learned"), `GRPORouterPolicy` (stub, registered as "grpo"). `HeuristicRewardFunction` scores inference results on latency/cost/efficiency. Orchestrator training subpackage (`learning/orchestrator/`) provides SFT and GRPO pipelines for structured-mode OrchestratorAgent training. ### Cross-cutting: Traces diff --git a/docs/api/learning.md b/docs/api/learning.md index a85b074d..d2e6f1e9 100644 --- a/docs/api/learning.md +++ b/docs/api/learning.md @@ -39,8 +39,7 @@ The learning system defines a hierarchy of learning policy ABCs: - **`LearningPolicy`** -- base ABC for all learning policies - **`IntelligenceLearningPolicy`** -- specialization for model routing decisions -- **`AgentLearningPolicy`** -- specialization for agent behavior advice -- **`ToolLearningPolicy`** -- specialization for tool selection/configuration +- **`AgentLearningPolicy`** -- specialization for agent behavior advice (ICL examples, tool-use strategies) --- @@ -59,9 +58,9 @@ The learning system defines a hierarchy of learning policy ABCs: options: show_source: true -### SFTPolicy +### SFTRouterPolicy -::: openjarvis.learning.sft_policy.SFTPolicy +::: openjarvis.learning.sft_policy.SFTRouterPolicy options: show_source: true members_order: source diff --git a/docs/architecture/intelligence.md b/docs/architecture/intelligence.md index 02a8c709..5f6b603f 100644 --- a/docs/architecture/intelligence.md +++ b/docs/architecture/intelligence.md @@ -216,6 +216,6 @@ ctx = build_routing_context("```python\ndef hello():\n pass\n```") ## Integration with Learning -The `HeuristicRouter` implements the `RouterPolicy` ABC (now defined in `intelligence/_stubs.py`), which means it can be swapped out for a `TraceDrivenPolicy`, `SFTPolicy`, or any other policy via the `RouterPolicyRegistry`. See the [Learning & Traces](learning.md) documentation for details on how trace-driven routing and the broader `LearningPolicy` taxonomy work. +The `HeuristicRouter` implements the `RouterPolicy` ABC (now defined in `intelligence/_stubs.py`), which means it can be swapped out for a `TraceDrivenPolicy`, `SFTRouterPolicy`, or any other policy via the `RouterPolicyRegistry`. See the [Learning & Traces](learning.md) documentation for details on how trace-driven routing and the broader `LearningPolicy` taxonomy work. The router is registered as `"heuristic"` in the `RouterPolicyRegistry` and is the default routing policy. Users can switch policies via the `--router` CLI flag or the `learning.default_policy` config setting. diff --git a/docs/architecture/learning.md b/docs/architecture/learning.md index 7810a3b8..b00b5ae2 100644 --- a/docs/architecture/learning.md +++ b/docs/architecture/learning.md @@ -6,13 +6,12 @@ The Learning system is a **cross-cutting concern** that connects all four pillar ## LearningPolicy ABC Taxonomy -The learning system defines a hierarchy of learning policy ABCs. The base `LearningPolicy` ABC is specialized into three sub-ABCs corresponding to the three learnable concerns: +The learning system defines a hierarchy of learning policy ABCs. The base `LearningPolicy` ABC is specialized into two sub-ABCs corresponding to the two learnable concerns: | ABC | Concern | Description | |-----|---------|-------------| | `IntelligenceLearningPolicy` | Model routing | Determines which model handles a query (replaces the legacy `RouterPolicy`) | -| `AgentLearningPolicy` | Agent behavior | Advises on agent strategy (e.g., tool selection, turn limits) | -| `ToolLearningPolicy` | Tool selection | Recommends tool configurations based on query characteristics | +| `AgentLearningPolicy` | Agent behavior | Advises on agent strategy (e.g., ICL examples, tool selection, turn limits) | All learning policies are registered in the `LearningRegistry` (in `core/registry.py`). @@ -66,14 +65,14 @@ The system ships with these router policies: | `heuristic` | `HeuristicRouter` | Active | Rule-based routing with 6 priority rules | | `learned` | `TraceDrivenPolicy` | Active | Learns from trace outcomes | | `grpo` | `GRPORouterPolicy` | Stub | Placeholder for future RL training | -| `sft` | `SFTPolicy` | Active | Supervised fine-tuning policy (learns from labeled traces) | +| `sft` | `SFTRouterPolicy` | Active | Trace-driven routing policy (learns query→model mapping); `SFTPolicy` is a backward-compat alias | And these additional learning policies (registered in `LearningRegistry`): | Registry Key | Policy Class | Taxonomy | Description | |-------------|-------------|----------|-------------| | `agent_advisor` | `AgentAdvisorPolicy` | `AgentLearningPolicy` | Advises on agent strategy based on trace patterns | -| `icl_updater` | `ICLUpdaterPolicy` | `ToolLearningPolicy` | In-context learning updater for tool selection | +| `icl_updater` | `ICLUpdaterPolicy` | `AgentLearningPolicy` | In-context learning updater — discovers ICL examples and multi-tool skills from traces | Users select a policy via `config.toml` or the `--router` CLI flag: @@ -193,11 +192,13 @@ The online update uses a conservative strategy: it only switches the preferred m --- -## SFTPolicy (Supervised Fine-Tuning) +## SFTRouterPolicy (Trace-Driven Router) -The `SFTPolicy` (in `learning/sft_policy.py`) is an `IntelligenceLearningPolicy` that learns routing decisions from labeled trace data using supervised fine-tuning principles. Unlike `TraceDrivenPolicy` which uses online aggregation, `SFTPolicy` trains a mapping from query features to model choices based on curated, high-quality trace examples. +The `SFTRouterPolicy` (in `learning/sft_policy.py`) is an `IntelligenceLearningPolicy` that learns routing decisions from historical traces. It analyzes trace outcomes, groups by query class (code, math, short, long, general), and builds a `query_class → model` mapping from the highest-scoring model per class. A backward-compatible alias `SFTPolicy = SFTRouterPolicy` is provided for code that used the old name. ```python +from openjarvis.learning.sft_policy import SFTRouterPolicy +# or via the backward-compat alias: from openjarvis.learning.sft_policy import SFTPolicy ``` @@ -215,7 +216,7 @@ from openjarvis.learning.agent_advisor import AgentAdvisorPolicy ## ICLUpdaterPolicy -The `ICLUpdaterPolicy` (in `learning/icl_updater.py`) is a `ToolLearningPolicy` that uses in-context learning to update tool selection and configuration. It analyzes recent tool-call traces to recommend which tools should be enabled for different query types. +The `ICLUpdaterPolicy` (in `learning/icl_updater.py`) is an `AgentLearningPolicy` that uses in-context learning to discover reusable examples and multi-tool skill sequences from traces. It analyzes successful tool-call patterns to recommend ICL examples and skill libraries that update agent behavior. ```python from openjarvis.learning.icl_updater import ICLUpdaterPolicy diff --git a/pyproject.toml b/pyproject.toml index 81a68204..d39cc4b3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,6 +33,7 @@ inference-cloud = [ inference-google = [ "google-genai>=1.0", ] +inference-litellm = ["litellm>=1.40"] tools-search = [ "tavily-python>=0.3", ] @@ -54,8 +55,22 @@ server = [ ] agents = [] learning = [] -openclaw = [] -channels = ["websockets>=12.0"] +orchestrator-training = ["torch>=2.0", "transformers>=4.40"] +channel-telegram = ["python-telegram-bot>=21.0"] +channel-discord = ["discord.py>=2.3"] +channel-slack = ["slack-sdk>=3.27"] +channel-webhook = [] +channel-email = [] +channel-whatsapp = [] +channel-signal = [] +channel-google-chat = [] +channel-irc = [] +channel-webchat = [] +channel-teams = [] +channel-matrix = [] +channel-mattermost = [] +channel-feishu = [] +channel-bluebubbles = [] docs = [ "mkdocs>=1.6", "mkdocs-material>=9.5", diff --git a/src/openjarvis/agents/__init__.py b/src/openjarvis/agents/__init__.py index abad65a8..04e977b3 100644 --- a/src/openjarvis/agents/__init__.py +++ b/src/openjarvis/agents/__init__.py @@ -20,11 +20,6 @@ try: except ImportError: pass -try: - import openjarvis.agents.openclaw # noqa: F401 -except ImportError: - pass - try: import openjarvis.agents.react # noqa: F401 except ImportError: @@ -35,4 +30,9 @@ try: except ImportError: pass +try: + import openjarvis.agents.rlm # noqa: F401 +except ImportError: + pass + __all__ = ["AgentContext", "AgentResult", "BaseAgent"] diff --git a/src/openjarvis/agents/_stubs.py b/src/openjarvis/agents/_stubs.py index 9f3cf463..bf51fa37 100644 --- a/src/openjarvis/agents/_stubs.py +++ b/src/openjarvis/agents/_stubs.py @@ -1,7 +1,7 @@ """ABC for agent implementations. Adapted from IPW's ``BaseAgent`` at ``src/agents/base.py``. -Phase 3 will provide concrete implementations (SimpleAgent, OpenClawAgent, etc.). +Phase 3 will provide concrete implementations (SimpleAgent, OrchestratorAgent, etc.). """ from __future__ import annotations diff --git a/src/openjarvis/agents/openclaw.py b/src/openjarvis/agents/openclaw.py deleted file mode 100644 index 791ec553..00000000 --- a/src/openjarvis/agents/openclaw.py +++ /dev/null @@ -1,181 +0,0 @@ -"""OpenClawAgent — wraps the OpenClaw Pi agent via HTTP or subprocess transport.""" - -from __future__ import annotations - -import json -from typing import Any, Optional - -from openjarvis.agents._stubs import AgentContext, AgentResult, BaseAgent -from openjarvis.agents.openclaw_protocol import MessageType, ProtocolMessage -from openjarvis.agents.openclaw_transport import ( - HttpTransport, - OpenClawTransport, - SubprocessTransport, -) -from openjarvis.core.events import EventBus, EventType -from openjarvis.core.registry import AgentRegistry -from openjarvis.core.types import ToolCall, ToolResult - - -@AgentRegistry.register("openclaw") -class OpenClawAgent(BaseAgent): - """Wraps the OpenClaw Pi agent via HTTP or subprocess transport. - - Parameters - ---------- - engine: - Inference engine (used as fallback or for provider plugin). - model: - Model identifier. - transport: - Optional pre-configured transport. If None, one is created based on *mode*. - mode: - Transport mode: ``"http"`` (default) or ``"subprocess"``. - bus: - Optional event bus for telemetry. - """ - - agent_id = "openclaw" - - def __init__( - self, - engine: Any = None, - model: str = "", - *, - transport: Optional[OpenClawTransport] = None, - mode: str = "http", - bus: Optional[EventBus] = None, - **kwargs: Any, - ) -> None: - self._engine = engine - self._model = model - self._bus = bus - - if transport is not None: - self._transport = transport - elif mode == "http": - self._transport = HttpTransport() - elif mode == "subprocess": - self._transport = SubprocessTransport() - else: - raise ValueError( - f"Unknown OpenClaw mode: {mode!r}. " - "Use 'http' or 'subprocess'." - ) - - def run( - self, - input: str, - context: Optional[AgentContext] = None, - **kwargs: Any, - ) -> AgentResult: - """Send a query through the OpenClaw transport and handle tool calls.""" - if self._bus: - self._bus.publish(EventType.AGENT_TURN_START, {"agent": self.agent_id}) - - # Check transport health - if not self._transport.health(): - raise RuntimeError( - "OpenClaw transport is not healthy. " - "Ensure the OpenClaw server is running." - ) - - # Build and send query message - query_msg = ProtocolMessage( - type=MessageType.QUERY, - content=input, - metadata={"model": self._model}, - ) - - tool_results: list[ToolResult] = [] - turns = 0 - max_turns = 10 - - response = self._transport.send(query_msg) - turns += 1 - - # Handle tool-call loop - while response.type == MessageType.TOOL_CALL and turns < max_turns: - if self._bus: - self._bus.publish(EventType.TOOL_CALL_START, { - "tool": response.tool_name, - "arguments": response.tool_args, - }) - - # Execute tool locally - tool_result = self._execute_tool( - response.tool_name or "", - response.tool_args or {}, - ) - tool_results.append(tool_result) - - if self._bus: - self._bus.publish(EventType.TOOL_CALL_END, { - "tool": response.tool_name, - "success": tool_result.success, - }) - - # Send tool result back - result_msg = ProtocolMessage( - type=MessageType.TOOL_RESULT, - tool_name=response.tool_name, - tool_result=tool_result.content, - metadata={"tool_call_id": response.id}, - ) - response = self._transport.send(result_msg) - turns += 1 - - # Handle error response - if response.type == MessageType.ERROR: - content = ( - response.error or response.content - or "Unknown error from OpenClaw" - ) - else: - content = response.content - - if self._bus: - self._bus.publish(EventType.AGENT_TURN_END, { - "agent": self.agent_id, - "turns": turns, - }) - - return AgentResult( - content=content, - tool_results=tool_results, - turns=turns, - ) - - def _execute_tool(self, tool_name: str, tool_args: dict) -> ToolResult: - """Dispatch a tool call to the local tool executor.""" - try: - from openjarvis.core.registry import ToolRegistry - - if not ToolRegistry.contains(tool_name): - return ToolResult( - tool_name=tool_name, - content=f"Unknown tool: {tool_name}", - success=False, - ) - - tool_cls = ToolRegistry.get(tool_name) - tool = tool_cls() if callable(tool_cls) else tool_cls - tc = ToolCall( - id="openclaw-tool", - name=tool_name, - arguments=json.dumps(tool_args), - ) - - from openjarvis.tools._stubs import ToolExecutor - - executor = ToolExecutor([tool], bus=self._bus) - return executor.execute(tc) - except Exception as exc: - return ToolResult( - tool_name=tool_name, - content=f"Tool execution error: {exc}", - success=False, - ) - - -__all__ = ["OpenClawAgent"] diff --git a/src/openjarvis/agents/openclaw_plugin.py b/src/openjarvis/agents/openclaw_plugin.py deleted file mode 100644 index c9219165..00000000 --- a/src/openjarvis/agents/openclaw_plugin.py +++ /dev/null @@ -1,86 +0,0 @@ -"""OpenClaw plugin skeleton — wraps OpenJarvis as an OpenClaw provider.""" - -from __future__ import annotations - -from typing import Any, Dict, List - - -class ProviderPlugin: - """Wraps OpenJarvis as an OpenClaw ProviderPlugin. - - Implements the provider interface expected by the OpenClaw framework: - ``generate()`` for inference and ``list_models()`` for model discovery. - """ - - def __init__(self, engine: Any = None, model: str = "", bus: Any = None) -> None: - self._engine = engine - self._model = model - self._bus = bus - - def generate(self, prompt: str, **kwargs: Any) -> Dict[str, Any]: - """Generate a response using the wrapped OpenJarvis engine.""" - if self._engine is None: - raise RuntimeError("No engine configured for ProviderPlugin") - - from openjarvis.core.types import Message, Role - - messages = [Message(role=Role.USER, content=prompt)] - if self._bus: - from openjarvis.telemetry.wrapper import instrumented_generate - - return instrumented_generate( - self._engine, messages, model=self._model, - bus=self._bus, **kwargs, - ) - return self._engine.generate(messages, model=self._model, **kwargs) - - def list_models(self) -> List[str]: - """List available models from the wrapped engine.""" - if self._engine is None: - return [] - return self._engine.list_models() - - -class MemorySearchManager: - """OpenClaw search/sync/status interface backed by memory.""" - - def __init__(self, backend: Any = None) -> None: - self._backend = backend - - def search(self, query: str, *, top_k: int = 5) -> List[Dict[str, Any]]: - """Search memory for relevant documents.""" - if self._backend is None: - return [] - results = self._backend.retrieve(query, top_k=top_k) - return [ - {"content": r.content, "score": r.score, "source": r.source} - for r in results - ] - - def sync(self) -> Dict[str, Any]: - """Synchronize memory state (no-op for now).""" - return {"status": "ok", "synced": True} - - def status(self) -> Dict[str, Any]: - """Return the memory backend status.""" - if self._backend is None: - return {"available": False} - bid = getattr(self._backend, "backend_id", "unknown") - return {"available": True, "backend": bid} - - -def register() -> Dict[str, Any]: - """Entry point for OpenClaw plugin registration. - - Returns a dict describing the plugin capabilities. - """ - return { - "name": "openjarvis", - "version": "1.0.0", - "capabilities": ["inference", "memory"], - "provider_class": ProviderPlugin, - "memory_class": MemorySearchManager, - } - - -__all__ = ["MemorySearchManager", "ProviderPlugin", "register"] diff --git a/src/openjarvis/agents/openclaw_protocol.py b/src/openjarvis/agents/openclaw_protocol.py deleted file mode 100644 index 41eec699..00000000 --- a/src/openjarvis/agents/openclaw_protocol.py +++ /dev/null @@ -1,92 +0,0 @@ -"""OpenClaw wire protocol — JSON-line message serialization.""" - -from __future__ import annotations - -import json -import uuid -from dataclasses import dataclass, field -from enum import Enum -from typing import Any, Dict, Optional - - -class MessageType(str, Enum): - """Wire message types for OpenClaw communication.""" - - QUERY = "query" - RESPONSE = "response" - TOOL_CALL = "tool_call" - TOOL_RESULT = "tool_result" - ERROR = "error" - HEALTH = "health" - HEALTH_OK = "health_ok" - - -@dataclass(slots=True) -class ProtocolMessage: - """A single message in the OpenClaw protocol.""" - - type: MessageType - id: str = field(default_factory=lambda: str(uuid.uuid4())) - content: str = "" - tool_name: Optional[str] = None - tool_args: Optional[Dict[str, Any]] = None - tool_result: Optional[str] = None - error: Optional[str] = None - metadata: Dict[str, Any] = field(default_factory=dict) - - -def serialize(msg: ProtocolMessage) -> str: - """Serialize a ProtocolMessage to a JSON line.""" - obj: Dict[str, Any] = { - "type": msg.type.value, - "id": msg.id, - "content": msg.content, - } - if msg.tool_name is not None: - obj["tool_name"] = msg.tool_name - if msg.tool_args is not None: - obj["tool_args"] = msg.tool_args - if msg.tool_result is not None: - obj["tool_result"] = msg.tool_result - if msg.error is not None: - obj["error"] = msg.error - if msg.metadata: - obj["metadata"] = msg.metadata - return json.dumps(obj) - - -def deserialize(line: str) -> ProtocolMessage: - """Deserialize a JSON line into a ProtocolMessage. - - Raises - ------ - ValueError - If the JSON is invalid or the message type is unknown. - """ - try: - obj = json.loads(line) - except json.JSONDecodeError as exc: - raise ValueError(f"Invalid JSON: {exc}") from exc - - if not isinstance(obj, dict): - raise ValueError("Expected a JSON object") - - raw_type = obj.get("type", "") - try: - msg_type = MessageType(raw_type) - except ValueError: - raise ValueError(f"Unknown message type: {raw_type!r}") from None - - return ProtocolMessage( - type=msg_type, - id=obj.get("id", str(uuid.uuid4())), - content=obj.get("content", ""), - tool_name=obj.get("tool_name"), - tool_args=obj.get("tool_args"), - tool_result=obj.get("tool_result"), - error=obj.get("error"), - metadata=obj.get("metadata", {}), - ) - - -__all__ = ["MessageType", "ProtocolMessage", "deserialize", "serialize"] diff --git a/src/openjarvis/agents/openclaw_transport.py b/src/openjarvis/agents/openclaw_transport.py deleted file mode 100644 index 946a9a69..00000000 --- a/src/openjarvis/agents/openclaw_transport.py +++ /dev/null @@ -1,143 +0,0 @@ -"""Transport abstraction for OpenClaw agent communication.""" - -from __future__ import annotations - -import json -import subprocess -from abc import ABC, abstractmethod -from typing import Optional - -from openjarvis.agents.openclaw_protocol import ( - MessageType, - ProtocolMessage, - deserialize, - serialize, -) - - -class OpenClawTransport(ABC): - """Base class for OpenClaw transport implementations.""" - - @abstractmethod - def send(self, msg: ProtocolMessage) -> ProtocolMessage: - """Send a message and return the response.""" - - @abstractmethod - def health(self) -> bool: - """Return True if the transport endpoint is healthy.""" - - @abstractmethod - def close(self) -> None: - """Release transport resources.""" - - -class HttpTransport(OpenClawTransport): - """HTTP-based transport for communicating with an OpenClaw server.""" - - def __init__( - self, - host: str = "http://localhost:18789", - timeout: float = 30.0, - ) -> None: - self._host = host.rstrip("/") - self._timeout = timeout - - def send(self, msg: ProtocolMessage) -> ProtocolMessage: - """POST a message to the OpenClaw HTTP endpoint.""" - import httpx - - payload = json.loads(serialize(msg)) - resp = httpx.post( - f"{self._host}/api/query", - json=payload, - timeout=self._timeout, - ) - resp.raise_for_status() - return deserialize(json.dumps(resp.json())) - - def health(self) -> bool: - """GET /health and return True if status is 200.""" - import httpx - - try: - resp = httpx.get( - f"{self._host}/health", - timeout=5.0, - ) - return resp.status_code == 200 - except Exception: - return False - - def close(self) -> None: - """No persistent resources to release.""" - - -class SubprocessTransport(OpenClawTransport): - """Subprocess-based transport — launches a Node.js process and - communicates via JSON over stdin/stdout.""" - - def __init__( - self, - node_path: str = "node", - script_path: str = "", - ) -> None: - self._node_path = node_path - self._script_path = script_path - self._process: Optional[subprocess.Popen] = None - - def _start_process(self) -> None: - """Start the Node.js subprocess.""" - self._process = subprocess.Popen( - [self._node_path, self._script_path], - stdin=subprocess.PIPE, - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - text=True, - ) - - def _ensure_alive(self) -> None: - """Start the process if it's not running.""" - if self._process is None or self._process.poll() is not None: - self._start_process() - - def send(self, msg: ProtocolMessage) -> ProtocolMessage: - """Send a message via stdin and read the response from stdout.""" - self._ensure_alive() - assert self._process is not None - assert self._process.stdin is not None - assert self._process.stdout is not None - - line = serialize(msg) + "\n" - self._process.stdin.write(line) - self._process.stdin.flush() - - response_line = self._process.stdout.readline() - if not response_line: - raise RuntimeError("No response from OpenClaw subprocess") - return deserialize(response_line.strip()) - - def health(self) -> bool: - """Check if the subprocess is alive and responsive.""" - try: - self._ensure_alive() - health_msg = ProtocolMessage(type=MessageType.HEALTH) - resp = self.send(health_msg) - return resp.type == MessageType.HEALTH_OK - except Exception: - return False - - def close(self) -> None: - """Terminate the subprocess.""" - if self._process is not None: - try: - self._process.terminate() - self._process.wait(timeout=5) - except Exception: - try: - self._process.kill() - except Exception: - pass - self._process = None - - -__all__ = ["HttpTransport", "OpenClawTransport", "SubprocessTransport"] diff --git a/src/openjarvis/agents/orchestrator.py b/src/openjarvis/agents/orchestrator.py index 43e54d24..69eeaf75 100644 --- a/src/openjarvis/agents/orchestrator.py +++ b/src/openjarvis/agents/orchestrator.py @@ -1,7 +1,18 @@ -"""OrchestratorAgent — multi-turn agent with tool-calling loop.""" +"""OrchestratorAgent — multi-turn agent with tool-calling loop. + +Supports two modes: + +- **function_calling** (default): Uses OpenAI-format tool definitions and + parses ``tool_calls`` from the engine response. +- **structured**: Uses a THOUGHT/TOOL/INPUT/FINAL_ANSWER text format + (like ReAct) with a canonical system prompt from the orchestrator + prompt registry. This is the format used by the SFT/GRPO training + pipelines, making the Orchestrator a distinctive trainable agent type. +""" from __future__ import annotations +import re from typing import Any, List, Optional from openjarvis.agents._stubs import AgentContext, AgentResult, BaseAgent @@ -21,6 +32,11 @@ class OrchestratorAgent(BaseAgent): 2. If the response contains tool_calls, execute them and loop. 3. If no tool_calls, return the final answer. 4. Stop after ``max_turns`` iterations. + + In **structured** mode the agent instead uses a + ``THOUGHT: / TOOL: / INPUT: / FINAL_ANSWER:`` text protocol + identical to the format used by the orchestrator SFT/GRPO + training pipelines. """ agent_id = "orchestrator" @@ -35,6 +51,8 @@ class OrchestratorAgent(BaseAgent): max_turns: int = 10, temperature: float = 0.7, max_tokens: int = 1024, + mode: str = "function_calling", + system_prompt: Optional[str] = None, ) -> None: self._engine = engine self._model = model @@ -44,12 +62,186 @@ class OrchestratorAgent(BaseAgent): self._max_turns = max_turns self._temperature = temperature self._max_tokens = max_tokens + self._mode = mode + self._system_prompt = system_prompt def run( self, input: str, context: Optional[AgentContext] = None, **kwargs: Any, + ) -> AgentResult: + if self._mode == "structured": + return self._run_structured(input, context, **kwargs) + return self._run_function_calling(input, context, **kwargs) + + # ------------------------------------------------------------------ + # Structured mode (THOUGHT/TOOL/INPUT/FINAL_ANSWER) + # ------------------------------------------------------------------ + + def _run_structured( + self, + input: str, + context: Optional[AgentContext] = None, + **kwargs: Any, + ) -> AgentResult: + bus = self._bus + + if bus: + bus.publish( + EventType.AGENT_TURN_START, + {"agent": self.agent_id, "input": input}, + ) + + # Build system prompt + if self._system_prompt: + sys_prompt = self._system_prompt + else: + from openjarvis.learning.orchestrator.prompt_registry import ( + build_system_prompt, + ) + tool_names = [t.spec.name for t in self._tools] + sys_prompt = build_system_prompt(tool_names) + + messages: list[Message] = [ + Message(role=Role.SYSTEM, content=sys_prompt), + ] + if context and context.conversation.messages: + messages.extend(context.conversation.messages) + messages.append(Message(role=Role.USER, content=input)) + + all_tool_results: list[ToolResult] = [] + turns = 0 + + for _turn in range(self._max_turns): + turns += 1 + + result = self._engine.generate( + messages, + model=self._model, + temperature=self._temperature, + max_tokens=self._max_tokens, + ) + content = result.get("content", "") + + parsed = self._parse_structured_response(content) + + # FINAL_ANSWER → done + if parsed["final_answer"]: + if bus: + bus.publish( + EventType.AGENT_TURN_END, + {"agent": self.agent_id, "turns": turns}, + ) + return AgentResult( + content=parsed["final_answer"], + tool_results=all_tool_results, + turns=turns, + ) + + # TOOL → execute + if parsed["tool"]: + messages.append( + Message(role=Role.ASSISTANT, content=content) + ) + + tool_call = ToolCall( + id=f"orch_{turns}", + name=parsed["tool"], + arguments=parsed["input"] or "{}", + ) + tool_result = self._executor.execute(tool_call) + all_tool_results.append(tool_result) + + observation = ( + f"Observation: {tool_result.content}" + ) + messages.append( + Message(role=Role.USER, content=observation) + ) + continue + + # Neither → treat content as final answer + if bus: + bus.publish( + EventType.AGENT_TURN_END, + {"agent": self.agent_id, "turns": turns}, + ) + return AgentResult( + content=content, + tool_results=all_tool_results, + turns=turns, + ) + + # Max turns exceeded + if bus: + bus.publish( + EventType.AGENT_TURN_END, + { + "agent": self.agent_id, + "turns": turns, + "max_turns_exceeded": True, + }, + ) + return AgentResult( + content="Maximum turns reached without a final answer.", + tool_results=all_tool_results, + turns=turns, + metadata={"max_turns_exceeded": True}, + ) + + @staticmethod + def _parse_structured_response(text: str) -> dict: + """Parse THOUGHT/TOOL/INPUT/FINAL_ANSWER from model output.""" + result = { + "thought": "", + "tool": "", + "input": "", + "final_answer": "", + } + + thought_match = re.search( + r"THOUGHT:\s*(.+?)(?=\nTOOL:|\nFINAL[_ ]?ANSWER:|\Z)", + text, + re.DOTALL | re.IGNORECASE, + ) + if thought_match: + result["thought"] = thought_match.group(1).strip() + + final_match = re.search( + r"FINAL[_ ]?ANSWER:\s*(.+)", + text, + re.DOTALL | re.IGNORECASE, + ) + if final_match: + result["final_answer"] = final_match.group(1).strip() + return result + + tool_match = re.search( + r"TOOL:\s*(.+)", text, re.IGNORECASE + ) + if tool_match: + result["tool"] = tool_match.group(1).strip() + + input_match = re.search( + r"INPUT:\s*(.+?)(?=\nTHOUGHT:|\nTOOL:|\nFINAL|\Z)", + text, + re.DOTALL | re.IGNORECASE, + ) + if input_match: + result["input"] = input_match.group(1).strip() + + return result + + # ------------------------------------------------------------------ + # Function-calling mode (original behaviour) + # ------------------------------------------------------------------ + + def _run_function_calling( + self, + input: str, + context: Optional[AgentContext] = None, + **kwargs: Any, ) -> AgentResult: bus = self._bus @@ -128,7 +320,6 @@ class OrchestratorAgent(BaseAgent): all_tool_results.append(tool_result) # Append tool response message - # Serialize arguments for the content messages.append(Message( role=Role.TOOL, content=tool_result.content, diff --git a/src/openjarvis/agents/rlm.py b/src/openjarvis/agents/rlm.py new file mode 100644 index 00000000..0c27ec97 --- /dev/null +++ b/src/openjarvis/agents/rlm.py @@ -0,0 +1,352 @@ +"""RLM (Recursive Language Model) Agent — recursive decomposition via persistent REPL. + +Based on the RLM paper (arxiv:2512.24601). Instead of passing long context +directly in the LLM prompt, RLM stores context as a Python variable in a +persistent REPL. A "Root LM" writes Python code to inspect/decompose +context and makes recursive sub-LM calls via ``llm_query()``/``llm_batch()``. +""" + +from __future__ import annotations + +import re +from typing import Any, List, Optional + +from openjarvis.agents._stubs import AgentContext, AgentResult, BaseAgent +from openjarvis.agents.rlm_repl import RLMRepl +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import AgentRegistry +from openjarvis.core.types import Message, Role, ToolCall, ToolResult +from openjarvis.engine._stubs import InferenceEngine +from openjarvis.tools._stubs import BaseTool, ToolExecutor + +# --------------------------------------------------------------------------- +# System prompt +# --------------------------------------------------------------------------- + +RLM_SYSTEM_PROMPT = ( + "You are an AI assistant that solves problems by writing " + "Python code in a persistent REPL.\n\n" + "## Available REPL Functions\n\n" + "- `llm_query(prompt: str) -> str` — Call a sub-LM with a " + "prompt and get a response.\n" + "- `llm_batch(prompts: list[str]) -> list[str]` — Call a " + "sub-LM with multiple prompts.\n" + "- `FINAL(value)` — Terminate and return `value` as the " + "final answer.\n" + "- `FINAL_VAR(var_name: str)` — Terminate and return the " + "value of variable `var_name`.\n" + "- `answer` dict — Set `answer[\"value\"] = ...` and " + "`answer[\"ready\"] = True` to terminate.\n\n" + "## Available Modules\n\n" + "json, re, math, collections, itertools, functools, " + "textwrap, string, copy, datetime\n\n" + "## Context Variable\n\n" + "The input context (if any) is stored in the variable " + "`context`. You can inspect it, slice it, or decompose it " + "using Python.\n\n" + "## Instructions\n\n" + "1. Write Python code inside ```python blocks to manipulate " + "context and solve the problem.\n" + "2. For long contexts, decompose them into smaller chunks " + "and use `llm_query()` on each chunk.\n" + "3. Combine sub-results programmatically.\n" + "4. When you have the final answer, call " + "`FINAL(answer_value)` or `FINAL_VAR(\"var_name\")`.\n" + "5. If you can answer directly without code, just respond " + "with text (no code block).\n\n" + "## Strategy Tips\n\n" + "- Split long text into paragraphs or sections, summarize " + "each with `llm_query()`.\n" + "- Use `llm_batch()` for parallel sub-queries on multiple " + "chunks.\n" + "- Store intermediate results in variables — the REPL " + "persists state across turns.\n" + "- Build up the answer incrementally across multiple code " + "blocks.\n" +) + + +# --------------------------------------------------------------------------- +# Agent +# --------------------------------------------------------------------------- + + +@AgentRegistry.register("rlm") +class RLMAgent(BaseAgent): + """Recursive Language Model agent using a persistent REPL. + + The agent generates Python code that runs in a sandboxed REPL with + access to ``llm_query()`` / ``llm_batch()`` for recursive sub-LM + calls. Context is stored as a REPL variable rather than injected + directly into the prompt, enabling processing of arbitrarily long + inputs through recursive decomposition. + """ + + agent_id = "rlm" + + def __init__( + self, + engine: InferenceEngine, + model: str, + *, + tools: Optional[List[BaseTool]] = None, + bus: Optional[EventBus] = None, + max_turns: int = 10, + temperature: float = 0.7, + max_tokens: int = 2048, + sub_model: Optional[str] = None, + sub_temperature: float = 0.3, + sub_max_tokens: int = 1024, + max_output_chars: int = 10000, + system_prompt: Optional[str] = None, + ) -> None: + self._engine = engine + self._model = model + self._tools = tools or [] + self._executor = ToolExecutor(self._tools, bus=bus) if self._tools else None + self._bus = bus + self._max_turns = max_turns + self._temperature = temperature + self._max_tokens = max_tokens + self._sub_model = sub_model or model + self._sub_temperature = sub_temperature + self._sub_max_tokens = sub_max_tokens + self._max_output_chars = max_output_chars + self._system_prompt = system_prompt or RLM_SYSTEM_PROMPT + + # ------------------------------------------------------------------ + # Main run loop + # ------------------------------------------------------------------ + + def run( + self, + input: str, + context: Optional[AgentContext] = None, + **kwargs: Any, + ) -> AgentResult: + bus = self._bus + + # Emit agent start + if bus: + bus.publish( + EventType.AGENT_TURN_START, + {"agent": self.agent_id, "input": input}, + ) + + # Create REPL with sub-LM callbacks + repl = RLMRepl( + llm_query_fn=self._make_sub_query, + llm_batch_fn=self._make_batch_query, + max_output_chars=self._max_output_chars, + ) + + # Resolve context and inject into REPL + ctx_text = self._resolve_context(context) + if ctx_text: + repl.set_variable("context", ctx_text) + + # Build conversation + messages: list[Message] = [ + Message(role=Role.SYSTEM, content=self._system_prompt), + ] + if context and context.conversation.messages: + messages.extend(context.conversation.messages) + messages.append(Message(role=Role.USER, content=input)) + + all_tool_results: list[ToolResult] = [] + turns = 0 + + for _turn in range(self._max_turns): + turns += 1 + + result = self._engine.generate( + messages, + model=self._model, + temperature=self._temperature, + max_tokens=self._max_tokens, + ) + content = result.get("content", "") + + # Strip tags + content = self._strip_think_tags(content) + + # Extract code block + code = self._extract_code(content) + + # No code block → return content as final answer + if code is None: + if bus: + bus.publish( + EventType.AGENT_TURN_END, + {"agent": self.agent_id, "turns": turns}, + ) + return AgentResult( + content=content, + tool_results=all_tool_results, + turns=turns, + ) + + # Execute code in REPL + output = repl.execute(code) + + # Record as tool result + tool_result = ToolResult( + tool_name="rlm_repl", + content=output or "(no output)", + success=( + not output.startswith("Error:") + and not output.startswith("SyntaxError:") + ), + ) + all_tool_results.append(tool_result) + + # Check for termination + if repl.is_terminated: + final = repl.final_answer + final_str = str(final) if final is not None else "" + if bus: + bus.publish( + EventType.AGENT_TURN_END, + {"agent": self.agent_id, "turns": turns}, + ) + return AgentResult( + content=final_str, + tool_results=all_tool_results, + turns=turns, + ) + + # Feed output back as user message + messages.append(Message(role=Role.ASSISTANT, content=content)) + feedback = ( + f"REPL Output: {output}" + if output + else "REPL Output: (no output)" + ) + messages.append(Message(role=Role.USER, content=feedback)) + + # Max turns exceeded — check answer dict for partial result + answer = repl.get_variable("answer") + if isinstance(answer, dict) and answer.get("value") is not None: + final_content = str(answer["value"]) + else: + final_content = "Maximum turns reached without a final answer." + + if bus: + bus.publish( + EventType.AGENT_TURN_END, + { + "agent": self.agent_id, + "turns": turns, + "max_turns_exceeded": True, + }, + ) + + return AgentResult( + content=final_content, + tool_results=all_tool_results, + turns=turns, + metadata={"max_turns_exceeded": True}, + ) + + # ------------------------------------------------------------------ + # Sub-LM callbacks + # ------------------------------------------------------------------ + + def _make_sub_query(self, prompt: str) -> str: + """Execute a single sub-LM query. + + Called from REPL code via ``llm_query(prompt)``. + If the sub-LM returns tool_calls, execute one round of tool + resolution before returning the final text. + """ + messages = [Message(role=Role.USER, content=prompt)] + result = self._engine.generate( + messages, + model=self._sub_model, + temperature=self._sub_temperature, + max_tokens=self._sub_max_tokens, + ) + + # Single-turn tool resolution + raw_tool_calls = result.get("tool_calls", []) + if raw_tool_calls and self._executor: + content = result.get("content", "") + tool_calls = [ + ToolCall( + id=tc.get("id", f"sub_{i}"), + name=tc.get("name", ""), + arguments=tc.get("arguments", "{}"), + ) + for i, tc in enumerate(raw_tool_calls) + ] + messages.append(Message( + role=Role.ASSISTANT, + content=content, + tool_calls=tool_calls, + )) + for tc in tool_calls: + tr = self._executor.execute(tc) + messages.append(Message( + role=Role.TOOL, + content=tr.content, + tool_call_id=tc.id, + name=tc.name, + )) + followup = self._engine.generate( + messages, + model=self._sub_model, + temperature=self._sub_temperature, + max_tokens=self._sub_max_tokens, + ) + return followup.get("content", "") + + return result.get("content", "") + + def _make_batch_query(self, prompts: List[str]) -> List[str]: + """Execute multiple sub-LM queries sequentially. + + Called from REPL code via ``llm_batch(prompts)``. + """ + return [self._make_sub_query(p) for p in prompts] + + # ------------------------------------------------------------------ + # Helpers + # ------------------------------------------------------------------ + + @staticmethod + def _extract_code(text: str) -> Optional[str]: + """Extract the first ```python code block from *text*. + + Also matches bare ``` blocks (without language tag). + Returns ``None`` if no code block is found. + """ + # Try ```python first + m = re.search(r"```python\s*\n(.*?)```", text, re.DOTALL) + if m: + return m.group(1).strip() + # Try bare ``` + m = re.search(r"```\s*\n(.*?)```", text, re.DOTALL) + if m: + return m.group(1).strip() + return None + + @staticmethod + def _strip_think_tags(text: str) -> str: + """Remove ``...`` blocks from model output.""" + return re.sub(r".*?", "", text, flags=re.DOTALL).strip() + + @staticmethod + def _resolve_context(context: Optional[AgentContext]) -> Optional[str]: + """Resolve context text from AgentContext metadata or memory_results.""" + if context is None: + return None + # Primary: explicit context in metadata + if context.metadata.get("context"): + return str(context.metadata["context"]) + # Fallback: join memory results + if context.memory_results: + return "\n\n".join(str(r) for r in context.memory_results) + return None + + +__all__ = ["RLMAgent", "RLM_SYSTEM_PROMPT"] diff --git a/src/openjarvis/agents/rlm_repl.py b/src/openjarvis/agents/rlm_repl.py new file mode 100644 index 00000000..dd9f58e3 --- /dev/null +++ b/src/openjarvis/agents/rlm_repl.py @@ -0,0 +1,183 @@ +"""Sandboxed REPL environment for the RLM agent. + +Provides a persistent Python namespace with injected helper functions +(``llm_query``, ``llm_batch``, ``FINAL``, ``FINAL_VAR``) that the RLM +agent's generated code uses to decompose context and make recursive +sub-LM calls. +""" + +from __future__ import annotations + +import io +from contextlib import redirect_stderr, redirect_stdout +from typing import Any, Callable, Dict, List, Optional + +# Safe stdlib modules pre-injected into the REPL namespace +_SAFE_MODULES = [ + "json", + "re", + "math", + "collections", + "itertools", + "functools", + "textwrap", + "string", + "copy", + "datetime", +] + +# Patterns blocked for security +_BLOCKED_PATTERNS = [ + "os.system", + "os.popen", + "subprocess", + "shutil.rmtree", + "__import__", + "open(", + "ctypes", + "socket", + "http.client", + "urllib", +] + + +class RLMRepl: + """Sandboxed Python REPL with persistent namespace for the RLM agent. + + Parameters + ---------- + llm_query_fn: + Callback invoked when REPL code calls ``llm_query(prompt)``. + llm_batch_fn: + Callback invoked when REPL code calls ``llm_batch(prompts)``. + max_output_chars: + Maximum characters captured from stdout per execution. + """ + + def __init__( + self, + llm_query_fn: Optional[Callable[[str], str]] = None, + llm_batch_fn: Optional[Callable[[List[str]], List[str]]] = None, + *, + max_output_chars: int = 10000, + ) -> None: + self._max_output_chars = max_output_chars + self._terminated = False + self._final_value: Any = None + + # Build namespace + self._namespace: Dict[str, Any] = {} + + # Inject safe stdlib modules + for mod_name in _SAFE_MODULES: + try: + import importlib + + self._namespace[mod_name] = importlib.import_module(mod_name) + except ImportError: + pass + + # answer dict — code can set answer["ready"] = True, answer["value"] = ... + self._namespace["answer"] = {"ready": False, "value": None} + + # Inject FINAL / FINAL_VAR + self._namespace["FINAL"] = self._final + self._namespace["FINAL_VAR"] = self._final_var + + # Inject llm_query / llm_batch + if llm_query_fn is not None: + self._namespace["llm_query"] = llm_query_fn + if llm_batch_fn is not None: + self._namespace["llm_batch"] = llm_batch_fn + + # ------------------------------------------------------------------ + # Termination helpers + # ------------------------------------------------------------------ + + def _final(self, value: Any) -> None: + """Mark the REPL as terminated with a final answer.""" + self._terminated = True + self._final_value = value + + def _final_var(self, var_name: str) -> None: + """Mark the REPL as terminated, using a namespace variable as the answer.""" + value = self._namespace.get(var_name) + self._terminated = True + self._final_value = value + + @property + def is_terminated(self) -> bool: + """Check if FINAL/FINAL_VAR was called or answer["ready"] is True.""" + if self._terminated: + return True + answer = self._namespace.get("answer", {}) + if isinstance(answer, dict) and answer.get("ready"): + return True + return False + + @property + def final_answer(self) -> Any: + """Return the termination value.""" + if self._terminated: + return self._final_value + answer = self._namespace.get("answer", {}) + if isinstance(answer, dict) and answer.get("ready"): + return answer.get("value") + return None + + # ------------------------------------------------------------------ + # Execution + # ------------------------------------------------------------------ + + def security_check(self, code: str) -> Optional[str]: + """Check code for dangerous patterns. Returns error message or None.""" + for pattern in _BLOCKED_PATTERNS: + if pattern in code: + return f"Blocked: code contains prohibited pattern '{pattern}'" + return None + + def execute(self, code: str) -> str: + """Execute *code* in the persistent namespace and return captured stdout. + + Raises are caught and returned as error strings. + """ + # Security check + violation = self.security_check(code) + if violation is not None: + return f"Error: {violation}" + + stdout_buf = io.StringIO() + stderr_buf = io.StringIO() + + try: + with redirect_stdout(stdout_buf), redirect_stderr(stderr_buf): + exec(code, self._namespace) # noqa: S102 + except Exception as exc: + error_msg = f"{type(exc).__name__}: {exc}" + return error_msg + + output = stdout_buf.getvalue() + err_output = stderr_buf.getvalue() + if err_output: + output += ("\n" if output else "") + err_output + + # Truncate if needed + if len(output) > self._max_output_chars: + output = output[: self._max_output_chars] + "\n... (output truncated)" + + return output + + # ------------------------------------------------------------------ + # Namespace access + # ------------------------------------------------------------------ + + def set_variable(self, name: str, value: Any) -> None: + """Set a variable in the REPL namespace.""" + self._namespace[name] = value + + def get_variable(self, name: str) -> Any: + """Get a variable from the REPL namespace.""" + return self._namespace.get(name) + + +__all__ = ["RLMRepl"] diff --git a/src/openjarvis/channels/__init__.py b/src/openjarvis/channels/__init__.py index 6dbc6c3c..13f57afc 100644 --- a/src/openjarvis/channels/__init__.py +++ b/src/openjarvis/channels/__init__.py @@ -1,4 +1,4 @@ -"""Channel abstraction for multi-platform messaging via OpenClaw.""" +"""Channel abstraction for multi-platform messaging.""" from openjarvis.channels._stubs import ( BaseChannel, @@ -9,7 +9,77 @@ from openjarvis.channels._stubs import ( # Trigger registration of built-in channels try: - from openjarvis.channels.openclaw_bridge import OpenClawChannelBridge # noqa: F401 + import openjarvis.channels.telegram # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.discord_channel # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.slack # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.webhook # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.email_channel # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.whatsapp # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.signal_channel # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.google_chat # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.irc_channel # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.webchat # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.teams # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.matrix_channel # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.mattermost # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.feishu # noqa: F401 +except ImportError: + pass + +try: + import openjarvis.channels.bluebubbles # noqa: F401 except ImportError: pass diff --git a/src/openjarvis/channels/bluebubbles.py b/src/openjarvis/channels/bluebubbles.py new file mode 100644 index 00000000..a3d527be --- /dev/null +++ b/src/openjarvis/channels/bluebubbles.py @@ -0,0 +1,133 @@ +"""BlueBubblesChannel — BlueBubbles (iMessage bridge) adapter.""" + +from __future__ import annotations + +import logging +import os +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("bluebubbles") +class BlueBubblesChannel(BaseChannel): + """BlueBubbles (iMessage bridge) channel adapter. + + Parameters + ---------- + url: + BlueBubbles server URL. Falls back to ``BLUEBUBBLES_URL`` env var. + password: + BlueBubbles server password. Falls back to ``BLUEBUBBLES_PASSWORD`` + env var. + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "bluebubbles" + + def __init__( + self, + url: str = "", + *, + password: str = "", + bus: Optional[EventBus] = None, + ) -> None: + self._url = url or os.environ.get("BLUEBUBBLES_URL", "") + self._password = password or os.environ.get("BLUEBUBBLES_PASSWORD", "") + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Mark as connected (send-only — no persistent connection).""" + if not self._url or not self._password: + logger.warning("No BlueBubbles URL or password configured") + self._status = ChannelStatus.ERROR + return + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Mark as disconnected.""" + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send an iMessage via the BlueBubbles API.""" + if not self._url or not self._password: + logger.warning("Cannot send: no BlueBubbles credentials configured") + return False + + try: + import httpx + + url = f"{self._url}/api/v1/message/text" + payload: Dict[str, Any] = { + "chatGuid": channel, + "message": content, + "method": "private-api", + } + + resp = httpx.post( + url, + params={"password": self._password}, + json=payload, + timeout=10.0, + ) + if resp.status_code < 300: + self._publish_sent(channel, content, conversation_id) + return True + logger.warning( + "BlueBubbles API returned status %d", resp.status_code, + ) + return False + except Exception: + logger.debug("BlueBubbles send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["bluebubbles"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["BlueBubblesChannel"] diff --git a/src/openjarvis/channels/discord_channel.py b/src/openjarvis/channels/discord_channel.py new file mode 100644 index 00000000..202b2577 --- /dev/null +++ b/src/openjarvis/channels/discord_channel.py @@ -0,0 +1,197 @@ +"""DiscordChannel — native Discord Bot API adapter.""" + +from __future__ import annotations + +import logging +import os +import threading +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelMessage, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("discord") +class DiscordChannel(BaseChannel): + """Native Discord channel adapter using the Discord REST API. + + Parameters + ---------- + bot_token: + Discord bot token. Falls back to ``DISCORD_BOT_TOKEN`` env var. + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "discord" + + def __init__( + self, + bot_token: str = "", + *, + bus: Optional[EventBus] = None, + ) -> None: + self._token = bot_token or os.environ.get("DISCORD_BOT_TOKEN", "") + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + self._listener_thread: Optional[threading.Thread] = None + self._stop_event = threading.Event() + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Start listening for incoming messages via discord.py gateway.""" + if not self._token: + logger.warning("No Discord bot token configured") + self._status = ChannelStatus.ERROR + return + + self._stop_event.clear() + self._status = ChannelStatus.CONNECTING + + try: + import discord # noqa: F401 + + self._listener_thread = threading.Thread( + target=self._gateway_loop, daemon=True, + ) + self._listener_thread.start() + self._status = ChannelStatus.CONNECTED + logger.info("Discord channel connected (gateway)") + except ImportError: + logger.info("discord.py not installed; send-only mode") + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Stop the listener thread.""" + self._stop_event.set() + if self._listener_thread is not None: + self._listener_thread.join(timeout=5.0) + self._listener_thread = None + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send a message to a Discord channel via REST API.""" + if not self._token: + logger.warning("Cannot send: no Discord bot token") + return False + + try: + import httpx + + url = f"https://discord.com/api/v10/channels/{channel}/messages" + headers = { + "Authorization": f"Bot {self._token}", + "Content-Type": "application/json", + } + payload: Dict[str, Any] = {"content": content} + if conversation_id: + payload["message_reference"] = {"message_id": conversation_id} + + resp = httpx.post( + url, json=payload, headers=headers, timeout=10.0, + ) + if resp.status_code < 300: + self._publish_sent(channel, content, conversation_id) + return True + logger.warning( + "Discord API returned status %d: %s", + resp.status_code, + resp.text, + ) + return False + except Exception: + logger.debug("Discord send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["discord"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _gateway_loop(self) -> None: + """Run the discord.py client in a background thread.""" + try: + import asyncio + + import discord + + intents = discord.Intents.default() + intents.message_content = True + client = discord.Client(intents=intents) + + @client.event + async def on_message(message): + if message.author == client.user: + return + cm = ChannelMessage( + channel="discord", + sender=str(message.author.id), + content=message.content, + message_id=str(message.id), + conversation_id=str(message.channel.id), + ) + for handler in self._handlers: + try: + handler(cm) + except Exception: + logger.exception("Discord handler error") + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_RECEIVED, + { + "channel": cm.channel, + "sender": cm.sender, + "content": cm.content, + "message_id": cm.message_id, + }, + ) + + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + loop.run_until_complete(client.start(self._token)) + except Exception: + logger.debug("Discord gateway loop error", exc_info=True) + self._status = ChannelStatus.ERROR + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["DiscordChannel"] diff --git a/src/openjarvis/channels/email_channel.py b/src/openjarvis/channels/email_channel.py new file mode 100644 index 00000000..bf58f6bb --- /dev/null +++ b/src/openjarvis/channels/email_channel.py @@ -0,0 +1,240 @@ +"""EmailChannel — SMTP/IMAP email adapter (stdlib only, zero extra deps).""" + +from __future__ import annotations + +import logging +import os +import smtplib +import threading +from email.mime.text import MIMEText +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelMessage, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("email") +class EmailChannel(BaseChannel): + """Email channel adapter using stdlib ``smtplib`` and ``imaplib``. + + Parameters + ---------- + smtp_host: + SMTP server hostname. + smtp_port: + SMTP server port (default 587 for STARTTLS). + imap_host: + IMAP server hostname for incoming messages. + imap_port: + IMAP server port (default 993 for SSL). + username: + Email username. Falls back to ``EMAIL_USERNAME`` env var. + password: + Email password. Falls back to ``EMAIL_PASSWORD`` env var. + use_tls: + Whether to use TLS (default ``True``). + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "email" + + def __init__( + self, + smtp_host: str = "", + smtp_port: int = 587, + *, + imap_host: str = "", + imap_port: int = 993, + username: str = "", + password: str = "", + use_tls: bool = True, + bus: Optional[EventBus] = None, + ) -> None: + self._smtp_host = smtp_host + self._smtp_port = smtp_port + self._imap_host = imap_host + self._imap_port = imap_port + self._username = username or os.environ.get("EMAIL_USERNAME", "") + self._password = password or os.environ.get("EMAIL_PASSWORD", "") + self._use_tls = use_tls + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + self._listener_thread: Optional[threading.Thread] = None + self._stop_event = threading.Event() + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Start IMAP polling for incoming messages (if configured).""" + if not self._smtp_host or not self._username: + logger.warning("Email channel not fully configured") + self._status = ChannelStatus.ERROR + return + + self._stop_event.clear() + self._status = ChannelStatus.CONNECTING + + if self._imap_host: + self._listener_thread = threading.Thread( + target=self._imap_poll_loop, daemon=True, + ) + self._listener_thread.start() + + self._status = ChannelStatus.CONNECTED + logger.info("Email channel connected (SMTP: %s)", self._smtp_host) + + def disconnect(self) -> None: + """Stop the IMAP listener thread.""" + self._stop_event.set() + if self._listener_thread is not None: + self._listener_thread.join(timeout=5.0) + self._listener_thread = None + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send an email via SMTP. ``channel`` is the recipient address.""" + if not self._smtp_host or not self._username: + logger.warning("Cannot send: email not configured") + return False + + try: + msg = MIMEText(content) + msg["From"] = self._username + msg["To"] = channel + msg["Subject"] = (metadata or {}).get( + "subject", "Message from OpenJarvis", + ) + if conversation_id: + msg["In-Reply-To"] = conversation_id + + if self._use_tls: + with smtplib.SMTP(self._smtp_host, self._smtp_port) as server: + server.starttls() + server.login(self._username, self._password) + server.send_message(msg) + else: + with smtplib.SMTP(self._smtp_host, self._smtp_port) as server: + if self._password: + server.login(self._username, self._password) + server.send_message(msg) + + self._publish_sent(channel, content, conversation_id) + return True + except Exception: + logger.debug("Email send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["email"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming email messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _imap_poll_loop(self) -> None: + """Poll IMAP INBOX for new messages.""" + import email + import imaplib + + while not self._stop_event.is_set(): + try: + if self._use_tls: + imap = imaplib.IMAP4_SSL( + self._imap_host, self._imap_port, + ) + else: + imap = imaplib.IMAP4(self._imap_host, self._imap_port) + + imap.login(self._username, self._password) + imap.select("INBOX") + + _, data = imap.search(None, "UNSEEN") + for num in data[0].split(): + _, msg_data = imap.fetch(num, "(RFC822)") + if msg_data[0] is None: + continue + raw = msg_data[0][1] + parsed = email.message_from_bytes(raw) + body = "" + if parsed.is_multipart(): + for part in parsed.walk(): + if part.get_content_type() == "text/plain": + body = part.get_payload(decode=True).decode( + errors="replace", + ) + break + else: + body = parsed.get_payload(decode=True).decode( + errors="replace", + ) + + cm = ChannelMessage( + channel="email", + sender=parsed.get("From", ""), + content=body, + message_id=parsed.get("Message-ID", ""), + conversation_id=parsed.get("In-Reply-To", ""), + ) + for handler in self._handlers: + try: + handler(cm) + except Exception: + logger.exception("Email handler error") + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_RECEIVED, + { + "channel": cm.channel, + "sender": cm.sender, + "content": cm.content, + "message_id": cm.message_id, + }, + ) + + imap.close() + imap.logout() + except Exception: + logger.debug("IMAP poll error", exc_info=True) + + self._stop_event.wait(30.0) + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["EmailChannel"] diff --git a/src/openjarvis/channels/feishu.py b/src/openjarvis/channels/feishu.py new file mode 100644 index 00000000..7d68fb91 --- /dev/null +++ b/src/openjarvis/channels/feishu.py @@ -0,0 +1,162 @@ +"""FeishuChannel — Feishu (Lark) adapter.""" + +from __future__ import annotations + +import json +import logging +import os +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("feishu") +class FeishuChannel(BaseChannel): + """Feishu (Lark) channel adapter. + + Parameters + ---------- + app_id: + Feishu App ID. Falls back to ``FEISHU_APP_ID`` env var. + app_secret: + Feishu App Secret. Falls back to ``FEISHU_APP_SECRET`` env var. + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "feishu" + + def __init__( + self, + app_id: str = "", + *, + app_secret: str = "", + bus: Optional[EventBus] = None, + ) -> None: + self._app_id = app_id or os.environ.get("FEISHU_APP_ID", "") + self._app_secret = app_secret or os.environ.get("FEISHU_APP_SECRET", "") + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Mark as connected (send-only — no persistent connection).""" + if not self._app_id or not self._app_secret: + logger.warning("No Feishu app_id or app_secret configured") + self._status = ChannelStatus.ERROR + return + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Mark as disconnected.""" + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send a message to a Feishu chat via the Open API.""" + if not self._app_id or not self._app_secret: + logger.warning("Cannot send: no Feishu credentials configured") + return False + + try: + import httpx + + # Obtain tenant_access_token + token_url = ( + "https://open.feishu.cn/open-apis/auth/v3/" + "tenant_access_token/internal" + ) + token_resp = httpx.post( + token_url, + json={ + "app_id": self._app_id, + "app_secret": self._app_secret, + }, + timeout=10.0, + ) + if token_resp.status_code >= 300: + logger.warning( + "Feishu token request returned status %d", + token_resp.status_code, + ) + return False + tenant_token = token_resp.json().get("tenant_access_token", "") + if not tenant_token: + logger.warning("Feishu token response missing tenant_access_token") + return False + + # Send message + msg_url = ( + "https://open.feishu.cn/open-apis/im/v1/messages" + "?receive_id_type=chat_id" + ) + headers = { + "Authorization": f"Bearer {tenant_token}", + "Content-Type": "application/json", + } + payload: Dict[str, Any] = { + "receive_id": channel, + "msg_type": "text", + "content": json.dumps({"text": content}), + } + + resp = httpx.post( + msg_url, json=payload, headers=headers, timeout=10.0, + ) + if resp.status_code < 300: + self._publish_sent(channel, content, conversation_id) + return True + logger.warning( + "Feishu API returned status %d", resp.status_code, + ) + return False + except Exception: + logger.debug("Feishu send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["feishu"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["FeishuChannel"] diff --git a/src/openjarvis/channels/google_chat.py b/src/openjarvis/channels/google_chat.py new file mode 100644 index 00000000..ee0f1454 --- /dev/null +++ b/src/openjarvis/channels/google_chat.py @@ -0,0 +1,123 @@ +"""GoogleChatChannel — Google Chat webhook adapter.""" + +from __future__ import annotations + +import logging +import os +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("google_chat") +class GoogleChatChannel(BaseChannel): + """Google Chat webhook channel adapter (send-only). + + Parameters + ---------- + webhook_url: + Google Chat incoming webhook URL. Falls back to + ``GOOGLE_CHAT_WEBHOOK_URL`` env var. + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "google_chat" + + def __init__( + self, + webhook_url: str = "", + *, + bus: Optional[EventBus] = None, + ) -> None: + self._webhook_url = webhook_url or os.environ.get( + "GOOGLE_CHAT_WEBHOOK_URL", "", + ) + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Mark as connected (send-only — no persistent connection).""" + if not self._webhook_url: + logger.warning("No Google Chat webhook URL configured") + self._status = ChannelStatus.ERROR + return + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Mark as disconnected.""" + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send a message to Google Chat via the configured webhook URL.""" + if not self._webhook_url: + logger.warning("Cannot send: no Google Chat webhook URL configured") + return False + + try: + import httpx + + payload: Dict[str, Any] = {"text": content} + + resp = httpx.post( + self._webhook_url, json=payload, timeout=10.0, + ) + if resp.status_code < 300: + self._publish_sent(channel, content, conversation_id) + return True + logger.warning( + "Google Chat API returned status %d", resp.status_code, + ) + return False + except Exception: + logger.debug("Google Chat send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["google_chat"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["GoogleChatChannel"] diff --git a/src/openjarvis/channels/irc_channel.py b/src/openjarvis/channels/irc_channel.py new file mode 100644 index 00000000..fd33cc12 --- /dev/null +++ b/src/openjarvis/channels/irc_channel.py @@ -0,0 +1,145 @@ +"""IRCChannel — IRC adapter using stdlib socket.""" + +from __future__ import annotations + +import logging +import os +import socket +import ssl +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("irc") +class IRCChannel(BaseChannel): + """IRC channel adapter using stdlib socket (send-only). + + Parameters + ---------- + server: + IRC server hostname. Falls back to ``IRC_SERVER`` env var. + port: + IRC server port (default 6667). Falls back to ``IRC_PORT`` env var. + nick: + IRC nickname. Falls back to ``IRC_NICK`` env var. + password: + Optional server password. Falls back to ``IRC_PASSWORD`` env var. + use_tls: + Whether to use TLS for the connection (default ``False``). + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "irc" + + def __init__( + self, + server: str = "", + *, + port: int = 6667, + nick: str = "", + password: str = "", + use_tls: bool = False, + bus: Optional[EventBus] = None, + ) -> None: + self._server = server or os.environ.get("IRC_SERVER", "") + self._port = int(os.environ.get("IRC_PORT", str(port))) + self._nick = nick or os.environ.get("IRC_NICK", "") + self._password = password or os.environ.get("IRC_PASSWORD", "") + self._use_tls = use_tls + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Mark as connected (send-only — no persistent connection).""" + if not self._server: + logger.warning("No IRC server configured") + self._status = ChannelStatus.ERROR + return + if not self._nick: + logger.warning("No IRC nick configured") + self._status = ChannelStatus.ERROR + return + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Mark as disconnected.""" + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send a PRIVMSG to an IRC channel via a new socket connection.""" + if not self._server or not self._nick: + logger.warning("Cannot send: IRC server or nick not configured") + return False + + try: + sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + if self._use_tls: + ctx = ssl.create_default_context() + sock = ctx.wrap_socket(sock, server_hostname=self._server) + + sock.connect((self._server, self._port)) + + if self._password: + sock.sendall(f"PASS {self._password}\r\n".encode()) + sock.sendall(f"NICK {self._nick}\r\n".encode()) + sock.sendall(f"USER {self._nick} 0 * :{self._nick}\r\n".encode()) + sock.sendall(f"PRIVMSG {channel} :{content}\r\n".encode()) + sock.sendall(b"QUIT\r\n") + sock.close() + + self._publish_sent(channel, content, conversation_id) + return True + except Exception: + logger.debug("IRC send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["irc"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["IRCChannel"] diff --git a/src/openjarvis/channels/matrix_channel.py b/src/openjarvis/channels/matrix_channel.py new file mode 100644 index 00000000..a1e65ebf --- /dev/null +++ b/src/openjarvis/channels/matrix_channel.py @@ -0,0 +1,137 @@ +"""MatrixChannel — Matrix homeserver adapter.""" + +from __future__ import annotations + +import logging +import os +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("matrix") +class MatrixChannel(BaseChannel): + """Matrix homeserver channel adapter. + + Parameters + ---------- + homeserver: + Matrix homeserver URL. Falls back to ``MATRIX_HOMESERVER`` env var. + access_token: + Matrix access token. Falls back to ``MATRIX_ACCESS_TOKEN`` env var. + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "matrix" + + def __init__( + self, + homeserver: str = "", + *, + access_token: str = "", + bus: Optional[EventBus] = None, + ) -> None: + self._homeserver = homeserver or os.environ.get("MATRIX_HOMESERVER", "") + self._access_token = access_token or os.environ.get("MATRIX_ACCESS_TOKEN", "") + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + self._txn_id = 0 + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Mark as connected (send-only — no persistent connection).""" + if not self._homeserver or not self._access_token: + logger.warning("No Matrix homeserver or access_token configured") + self._status = ChannelStatus.ERROR + return + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Mark as disconnected.""" + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send a message to a Matrix room via the Client-Server API.""" + if not self._homeserver or not self._access_token: + logger.warning("Cannot send: no Matrix credentials configured") + return False + + try: + import httpx + + self._txn_id += 1 + txn_id = self._txn_id + url = ( + f"{self._homeserver}/_matrix/client/v3/rooms/" + f"{channel}/send/m.room.message/{txn_id}" + ) + headers = { + "Authorization": f"Bearer {self._access_token}", + } + payload: Dict[str, Any] = { + "msgtype": "m.text", + "body": content, + } + + resp = httpx.put( + url, json=payload, headers=headers, timeout=10.0, + ) + if resp.status_code < 300: + self._publish_sent(channel, content, conversation_id) + return True + logger.warning( + "Matrix API returned status %d", resp.status_code, + ) + return False + except Exception: + logger.debug("Matrix send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["matrix"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["MatrixChannel"] diff --git a/src/openjarvis/channels/mattermost.py b/src/openjarvis/channels/mattermost.py new file mode 100644 index 00000000..96875a45 --- /dev/null +++ b/src/openjarvis/channels/mattermost.py @@ -0,0 +1,134 @@ +"""MattermostChannel — Mattermost REST API adapter.""" + +from __future__ import annotations + +import logging +import os +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("mattermost") +class MattermostChannel(BaseChannel): + """Mattermost channel adapter using the REST API. + + Parameters + ---------- + url: + Mattermost server URL. Falls back to ``MATTERMOST_URL`` env var. + token: + Mattermost personal access token or bot token. Falls back to + ``MATTERMOST_TOKEN`` env var. + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "mattermost" + + def __init__( + self, + url: str = "", + *, + token: str = "", + bus: Optional[EventBus] = None, + ) -> None: + self._url = url or os.environ.get("MATTERMOST_URL", "") + self._token = token or os.environ.get("MATTERMOST_TOKEN", "") + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Mark as connected (send-only — no persistent connection).""" + if not self._url or not self._token: + logger.warning("No Mattermost URL or token configured") + self._status = ChannelStatus.ERROR + return + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Mark as disconnected.""" + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send a message to a Mattermost channel via the REST API.""" + if not self._url or not self._token: + logger.warning("Cannot send: no Mattermost credentials configured") + return False + + try: + import httpx + + url = f"{self._url}/api/v4/posts" + headers = { + "Authorization": f"Bearer {self._token}", + } + payload: Dict[str, Any] = { + "channel_id": channel, + "message": content, + } + if conversation_id: + payload["root_id"] = conversation_id + + resp = httpx.post( + url, json=payload, headers=headers, timeout=10.0, + ) + if resp.status_code < 300: + self._publish_sent(channel, content, conversation_id) + return True + logger.warning( + "Mattermost API returned status %d", resp.status_code, + ) + return False + except Exception: + logger.debug("Mattermost send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["mattermost"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["MattermostChannel"] diff --git a/src/openjarvis/channels/openclaw_bridge.py b/src/openjarvis/channels/openclaw_bridge.py deleted file mode 100644 index 52042604..00000000 --- a/src/openjarvis/channels/openclaw_bridge.py +++ /dev/null @@ -1,257 +0,0 @@ -"""OpenClawChannelBridge — WebSocket/HTTP bridge to the OpenClaw gateway.""" - -from __future__ import annotations - -import json -import logging -import threading -from typing import Any, Dict, List, Optional - -from openjarvis.channels._stubs import ( - BaseChannel, - ChannelHandler, - ChannelMessage, - ChannelStatus, -) -from openjarvis.core.events import EventBus, EventType -from openjarvis.core.registry import ChannelRegistry - -logger = logging.getLogger(__name__) - - -@ChannelRegistry.register("openclaw") -class OpenClawChannelBridge(BaseChannel): - """Bridge to the OpenClaw gateway via WebSocket with HTTP fallback. - - Parameters - ---------- - gateway_url: - WebSocket URL of the OpenClaw gateway (e.g. ``ws://127.0.0.1:18789/ws``). - reconnect_interval: - Seconds to wait before reconnecting after a disconnect. - bus: - Optional event bus for publishing channel events. - """ - - channel_id = "openclaw" - - def __init__( - self, - gateway_url: str = "ws://127.0.0.1:18789/ws", - *, - reconnect_interval: float = 5.0, - bus: Optional[EventBus] = None, - ) -> None: - self._gateway_url = gateway_url - self._reconnect_interval = reconnect_interval - self._bus = bus - self._handlers: List[ChannelHandler] = [] - self._status = ChannelStatus.DISCONNECTED - self._ws: Any = None - self._listener_thread: Optional[threading.Thread] = None - self._stop_event = threading.Event() - - # -- connection lifecycle --------------------------------------------------- - - def connect(self) -> None: - """Establish connection to the OpenClaw gateway.""" - self._status = ChannelStatus.CONNECTING - self._stop_event.clear() - - try: - import websockets.sync.client # type: ignore[import-untyped] - - self._ws = websockets.sync.client.connect(self._gateway_url) - self._status = ChannelStatus.CONNECTED - self._listener_thread = threading.Thread( - target=self._listener_loop, daemon=True, - ) - self._listener_thread.start() - logger.info( - "Connected to OpenClaw gateway via WebSocket: %s", - self._gateway_url, - ) - except ImportError: - # websockets not installed — use HTTP fallback mode - logger.info( - "websockets not installed; HTTP fallback: %s", - self._gateway_url, - ) - self._ws = None - self._status = ChannelStatus.CONNECTED - except Exception: - logger.exception( - "Failed to connect to OpenClaw gateway: %s", - self._gateway_url, - ) - self._status = ChannelStatus.ERROR - - def disconnect(self) -> None: - """Close connection to the OpenClaw gateway.""" - self._stop_event.set() - if self._ws is not None: - try: - self._ws.close() - except Exception: - logger.debug("Error closing WebSocket", exc_info=True) - self._ws = None - if self._listener_thread is not None: - self._listener_thread.join(timeout=self._reconnect_interval + 1) - self._listener_thread = None - self._status = ChannelStatus.DISCONNECTED - - # -- send / receive -------------------------------------------------------- - - def send( - self, - channel: str, - content: str, - *, - conversation_id: str = "", - metadata: Dict[str, Any] | None = None, - ) -> bool: - """Send a message to a channel. Returns True on success.""" - payload = { - "channel": channel, - "content": content, - "conversation_id": conversation_id, - "metadata": metadata or {}, - } - - # Try WebSocket first - if self._ws is not None: - try: - self._ws.send(json.dumps(payload)) - self._publish_sent(channel, content, conversation_id) - return True - except Exception: - logger.debug( - "WebSocket send failed, falling back to HTTP", - exc_info=True, - ) - - # HTTP fallback - return self._send_http(payload, channel, content, conversation_id) - - def _send_http( - self, - payload: Dict[str, Any], - channel: str, - content: str, - conversation_id: str, - ) -> bool: - """Send message via HTTP POST fallback.""" - http_url = self._http_url("/send") - try: - import httpx - - resp = httpx.post(http_url, json=payload, timeout=10.0) - if resp.status_code < 300: - self._publish_sent(channel, content, conversation_id) - return True - logger.warning("HTTP send returned status %d", resp.status_code) - return False - except Exception: - logger.debug("HTTP send failed", exc_info=True) - return False - - def status(self) -> ChannelStatus: - """Return the current connection status.""" - return self._status - - def list_channels(self) -> List[str]: - """Query the gateway for available channels.""" - http_url = self._http_url("/channels") - try: - import httpx - - resp = httpx.get(http_url, timeout=10.0) - data = resp.json() - if isinstance(data, list): - return data - if isinstance(data, dict) and "channels" in data: - return data["channels"] - return [] - except Exception: - logger.debug("Failed to list channels", exc_info=True) - return [] - - def on_message(self, handler: ChannelHandler) -> None: - """Register a callback for incoming messages.""" - self._handlers.append(handler) - - # -- internal helpers ------------------------------------------------------- - - def _listener_loop(self) -> None: - """Background loop receiving messages from WebSocket.""" - while not self._stop_event.is_set(): - try: - if self._ws is None: - break - raw = self._ws.recv(timeout=1.0) - data = json.loads(raw) - msg = ChannelMessage( - channel=data.get("channel", ""), - sender=data.get("sender", ""), - content=data.get("content", ""), - message_id=data.get("message_id", ""), - conversation_id=data.get("conversation_id", ""), - metadata=data.get("metadata", {}), - ) - for handler in self._handlers: - try: - handler(msg) - except Exception: - logger.exception("Channel handler error") - if self._bus is not None: - self._bus.publish( - EventType.CHANNEL_MESSAGE_RECEIVED, - { - "channel": msg.channel, - "sender": msg.sender, - "content": msg.content, - "message_id": msg.message_id, - }, - ) - except TimeoutError: - continue - except Exception: - if self._stop_event.is_set(): - break - logger.debug("WebSocket listener error, reconnecting", exc_info=True) - self._status = ChannelStatus.CONNECTING - self._stop_event.wait(self._reconnect_interval) - if self._stop_event.is_set(): - break - try: - import websockets.sync.client # type: ignore[import-untyped] - - self._ws = websockets.sync.client.connect(self._gateway_url) - self._status = ChannelStatus.CONNECTED - except Exception: - logger.debug("Reconnect failed", exc_info=True) - self._status = ChannelStatus.ERROR - - def _http_url(self, path: str = "") -> str: - """Convert the WebSocket URL to an HTTP URL.""" - url = self._gateway_url - url = url.replace("ws://", "http://").replace("wss://", "https://") - # Strip trailing /ws - if url.endswith("/ws"): - url = url[:-3] - return url + path - - def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: - """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" - if self._bus is not None: - self._bus.publish( - EventType.CHANNEL_MESSAGE_SENT, - { - "channel": channel, - "content": content, - "conversation_id": conversation_id, - }, - ) - - -__all__ = ["OpenClawChannelBridge"] diff --git a/src/openjarvis/channels/signal_channel.py b/src/openjarvis/channels/signal_channel.py new file mode 100644 index 00000000..97279c90 --- /dev/null +++ b/src/openjarvis/channels/signal_channel.py @@ -0,0 +1,131 @@ +"""SignalChannel — Signal adapter via signal-cli REST API.""" + +from __future__ import annotations + +import logging +import os +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("signal") +class SignalChannel(BaseChannel): + """Signal channel adapter via signal-cli REST API (send-only). + + Parameters + ---------- + api_url: + Base URL of the signal-cli REST API. Falls back to + ``SIGNAL_API_URL`` env var. + phone_number: + Sender phone number registered with signal-cli. Falls back to + ``SIGNAL_PHONE_NUMBER`` env var. + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "signal" + + def __init__( + self, + api_url: str = "", + *, + phone_number: str = "", + bus: Optional[EventBus] = None, + ) -> None: + self._api_url = api_url or os.environ.get("SIGNAL_API_URL", "") + self._phone_number = phone_number or os.environ.get( + "SIGNAL_PHONE_NUMBER", "", + ) + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Mark as connected (send-only — no persistent connection).""" + if not self._api_url: + logger.warning("No Signal API URL configured") + self._status = ChannelStatus.ERROR + return + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Mark as disconnected.""" + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send a message via the signal-cli REST API.""" + if not self._api_url: + logger.warning("Cannot send: no Signal API URL configured") + return False + + try: + import httpx + + url = f"{self._api_url}/v2/send" + payload: Dict[str, Any] = { + "message": content, + "number": self._phone_number, + "recipients": [channel], + } + + resp = httpx.post(url, json=payload, timeout=10.0) + if resp.status_code < 300: + self._publish_sent(channel, content, conversation_id) + return True + logger.warning( + "Signal API returned status %d", resp.status_code, + ) + return False + except Exception: + logger.debug("Signal send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["signal"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["SignalChannel"] diff --git a/src/openjarvis/channels/slack.py b/src/openjarvis/channels/slack.py new file mode 100644 index 00000000..6728da30 --- /dev/null +++ b/src/openjarvis/channels/slack.py @@ -0,0 +1,221 @@ +"""SlackChannel — native Slack Web API adapter.""" + +from __future__ import annotations + +import logging +import os +import threading +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelMessage, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("slack") +class SlackChannel(BaseChannel): + """Native Slack channel adapter using the Slack Web API. + + Parameters + ---------- + bot_token: + Slack Bot User OAuth Token. Falls back to ``SLACK_BOT_TOKEN`` env var. + app_token: + Slack App-Level Token for Socket Mode. Falls back to + ``SLACK_APP_TOKEN`` env var. + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "slack" + + def __init__( + self, + bot_token: str = "", + *, + app_token: str = "", + bus: Optional[EventBus] = None, + ) -> None: + self._token = bot_token or os.environ.get("SLACK_BOT_TOKEN", "") + self._app_token = app_token or os.environ.get("SLACK_APP_TOKEN", "") + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + self._listener_thread: Optional[threading.Thread] = None + self._stop_event = threading.Event() + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Start listening for incoming messages via Slack Socket Mode.""" + if not self._token: + logger.warning("No Slack bot token configured") + self._status = ChannelStatus.ERROR + return + + self._stop_event.clear() + self._status = ChannelStatus.CONNECTING + + try: + from slack_sdk.socket_mode import SocketModeClient # noqa: F401 + + if not self._app_token: + logger.info("No app token for Socket Mode; send-only mode") + self._status = ChannelStatus.CONNECTED + return + + self._listener_thread = threading.Thread( + target=self._socket_mode_loop, daemon=True, + ) + self._listener_thread.start() + self._status = ChannelStatus.CONNECTED + logger.info("Slack channel connected (Socket Mode)") + except ImportError: + logger.info("slack-sdk not installed; send-only mode") + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Stop the listener thread.""" + self._stop_event.set() + if self._listener_thread is not None: + self._listener_thread.join(timeout=5.0) + self._listener_thread = None + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send a message to a Slack channel via the Web API.""" + if not self._token: + logger.warning("Cannot send: no Slack bot token") + return False + + try: + import httpx + + url = "https://slack.com/api/chat.postMessage" + headers = { + "Authorization": f"Bearer {self._token}", + "Content-Type": "application/json", + } + payload: Dict[str, Any] = { + "channel": channel, + "text": content, + } + if conversation_id: + payload["thread_ts"] = conversation_id + + resp = httpx.post( + url, json=payload, headers=headers, timeout=10.0, + ) + if resp.status_code < 300: + data = resp.json() + if data.get("ok"): + self._publish_sent(channel, content, conversation_id) + return True + logger.warning("Slack API error: %s", data.get("error")) + return False + logger.warning( + "Slack API returned status %d", resp.status_code, + ) + return False + except Exception: + logger.debug("Slack send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["slack"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _socket_mode_loop(self) -> None: + """Run Slack Socket Mode client in a background thread.""" + try: + from slack_sdk.socket_mode import SocketModeClient + from slack_sdk.socket_mode.request import SocketModeRequest + from slack_sdk.socket_mode.response import SocketModeResponse + from slack_sdk.web import WebClient + + client = SocketModeClient( + app_token=self._app_token, + web_client=WebClient(token=self._token), + ) + + def _handle_event(client_obj, req: SocketModeRequest): + if req.type == "events_api": + event = req.payload.get("event", {}) + if event.get("type") == "message" and "subtype" not in event: + cm = ChannelMessage( + channel="slack", + sender=event.get("user", ""), + content=event.get("text", ""), + message_id=event.get("ts", ""), + conversation_id=event.get("channel", ""), + ) + for handler in self._handlers: + try: + handler(cm) + except Exception: + logger.exception("Slack handler error") + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_RECEIVED, + { + "channel": cm.channel, + "sender": cm.sender, + "content": cm.content, + "message_id": cm.message_id, + }, + ) + client_obj.send_socket_mode_response( + SocketModeResponse(envelope_id=req.envelope_id), + ) + + client.socket_mode_request_listeners.append(_handle_event) + client.connect() + + while not self._stop_event.is_set(): + self._stop_event.wait(1.0) + + client.disconnect() + except Exception: + logger.debug("Slack Socket Mode loop error", exc_info=True) + self._status = ChannelStatus.ERROR + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["SlackChannel"] diff --git a/src/openjarvis/channels/teams.py b/src/openjarvis/channels/teams.py new file mode 100644 index 00000000..4fbd50e1 --- /dev/null +++ b/src/openjarvis/channels/teams.py @@ -0,0 +1,142 @@ +"""TeamsChannel — Microsoft Teams Bot Framework adapter.""" + +from __future__ import annotations + +import logging +import os +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("teams") +class TeamsChannel(BaseChannel): + """Microsoft Teams channel adapter using the Bot Framework REST API. + + Parameters + ---------- + app_id: + Microsoft App ID. Falls back to ``TEAMS_APP_ID`` env var. + app_password: + Microsoft App Password. Falls back to ``TEAMS_APP_PASSWORD`` env var. + service_url: + Bot Framework service URL. Falls back to ``TEAMS_SERVICE_URL`` env var + (default ``https://smba.trafficmanager.net/teams``). + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "teams" + + def __init__( + self, + app_id: str = "", + *, + app_password: str = "", + service_url: str = "", + bus: Optional[EventBus] = None, + ) -> None: + self._app_id = app_id or os.environ.get("TEAMS_APP_ID", "") + self._app_password = app_password or os.environ.get("TEAMS_APP_PASSWORD", "") + self._service_url = ( + service_url + or os.environ.get("TEAMS_SERVICE_URL", "https://smba.trafficmanager.net/teams") + ) + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Mark as connected (send-only — no persistent connection).""" + if not self._app_id or not self._app_password: + logger.warning("No Teams app_id or app_password configured") + self._status = ChannelStatus.ERROR + return + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Mark as disconnected.""" + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send a message to a Teams conversation via the Bot Framework API.""" + if not self._app_id or not self._app_password: + logger.warning("Cannot send: no Teams credentials configured") + return False + + try: + import httpx + + url = f"{self._service_url}/v3/conversations/{channel}/activities" + headers = { + "Authorization": f"Bearer {self._app_password}", + "Content-Type": "application/json", + } + payload: Dict[str, Any] = { + "type": "message", + "text": content, + } + if conversation_id: + payload["replyToId"] = conversation_id + + resp = httpx.post( + url, json=payload, headers=headers, timeout=10.0, + ) + if resp.status_code < 300: + self._publish_sent(channel, content, conversation_id) + return True + logger.warning( + "Teams API returned status %d", resp.status_code, + ) + return False + except Exception: + logger.debug("Teams send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["teams"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["TeamsChannel"] diff --git a/src/openjarvis/channels/telegram.py b/src/openjarvis/channels/telegram.py new file mode 100644 index 00000000..7097ece5 --- /dev/null +++ b/src/openjarvis/channels/telegram.py @@ -0,0 +1,202 @@ +"""TelegramChannel — native Telegram Bot API adapter.""" + +from __future__ import annotations + +import logging +import os +import threading +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelMessage, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("telegram") +class TelegramChannel(BaseChannel): + """Native Telegram channel adapter using the Bot API. + + Parameters + ---------- + bot_token: + Telegram Bot API token. Falls back to ``TELEGRAM_BOT_TOKEN`` env var. + allowed_chat_ids: + Comma-separated list of chat IDs allowed to interact. + parse_mode: + Message parse mode (``Markdown``, ``HTML``, etc.). + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "telegram" + + def __init__( + self, + bot_token: str = "", + *, + allowed_chat_ids: str = "", + parse_mode: str = "Markdown", + bus: Optional[EventBus] = None, + ) -> None: + self._token = bot_token or os.environ.get("TELEGRAM_BOT_TOKEN", "") + self._allowed_chat_ids = allowed_chat_ids + self._parse_mode = parse_mode + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + self._listener_thread: Optional[threading.Thread] = None + self._stop_event = threading.Event() + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Start listening for incoming messages via long polling.""" + if not self._token: + logger.warning("No Telegram bot token configured") + self._status = ChannelStatus.ERROR + return + + self._stop_event.clear() + self._status = ChannelStatus.CONNECTING + + try: + from telegram.ext import ApplicationBuilder # noqa: F401 + + self._listener_thread = threading.Thread( + target=self._poll_loop, daemon=True, + ) + self._listener_thread.start() + self._status = ChannelStatus.CONNECTED + logger.info("Telegram channel connected (long polling)") + except ImportError: + # python-telegram-bot not installed — send-only mode + logger.info( + "python-telegram-bot not installed; send-only mode", + ) + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Stop the listener thread.""" + self._stop_event.set() + if self._listener_thread is not None: + self._listener_thread.join(timeout=5.0) + self._listener_thread = None + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send a message to a Telegram chat via the Bot API.""" + if not self._token: + logger.warning("Cannot send: no Telegram bot token") + return False + + try: + import httpx + + url = f"https://api.telegram.org/bot{self._token}/sendMessage" + payload: Dict[str, Any] = { + "chat_id": channel, + "text": content, + } + if self._parse_mode: + payload["parse_mode"] = self._parse_mode + if conversation_id: + payload["reply_to_message_id"] = conversation_id + + resp = httpx.post(url, json=payload, timeout=10.0) + if resp.status_code < 300: + self._publish_sent(channel, content, conversation_id) + return True + logger.warning( + "Telegram API returned status %d: %s", + resp.status_code, + resp.text, + ) + return False + except Exception: + logger.debug("Telegram send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["telegram"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _poll_loop(self) -> None: + """Long-poll for updates using python-telegram-bot.""" + try: + from telegram.ext import ApplicationBuilder, MessageHandler, filters + + app = ApplicationBuilder().token(self._token).build() + + def _handle_msg(update, context): + msg = update.message + if msg is None: + return + cm = ChannelMessage( + channel="telegram", + sender=str(msg.from_user.id) if msg.from_user else "", + content=msg.text or "", + message_id=str(msg.message_id), + conversation_id=str(msg.chat.id), + ) + for handler in self._handlers: + try: + handler(cm) + except Exception: + logger.exception("Telegram handler error") + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_RECEIVED, + { + "channel": cm.channel, + "sender": cm.sender, + "content": cm.content, + "message_id": cm.message_id, + }, + ) + + app.add_handler(MessageHandler(filters.TEXT, _handle_msg)) + app.run_polling(stop_signals=None) + except Exception: + logger.debug("Telegram poll loop error", exc_info=True) + self._status = ChannelStatus.ERROR + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["TelegramChannel"] diff --git a/src/openjarvis/channels/webchat.py b/src/openjarvis/channels/webchat.py new file mode 100644 index 00000000..a63c8ca5 --- /dev/null +++ b/src/openjarvis/channels/webchat.py @@ -0,0 +1,114 @@ +"""WebChatChannel — in-memory message queue for webchat/testing.""" + +from __future__ import annotations + +import logging +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelMessage, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("webchat") +class WebChatChannel(BaseChannel): + """In-memory webchat channel for testing and embedded web UIs. + + Messages are stored in an internal list and can be retrieved via + :meth:`get_messages`. No external dependencies are required. + + Parameters + ---------- + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "webchat" + + def __init__( + self, + *, + bus: Optional[EventBus] = None, + ) -> None: + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._messages: List[ChannelMessage] = [] + self._status = ChannelStatus.DISCONNECTED + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Mark as connected (always succeeds for in-memory channel).""" + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Mark as disconnected.""" + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Append a message to the in-memory queue.""" + msg = ChannelMessage( + channel=channel, + sender="jarvis", + content=content, + conversation_id=conversation_id, + metadata=metadata or {}, + ) + self._messages.append(msg) + self._publish_sent(channel, content, conversation_id) + return True + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["webchat"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- webchat-specific helpers ----------------------------------------------- + + def get_messages(self) -> List[ChannelMessage]: + """Return all messages stored in the in-memory queue.""" + return self._messages + + def clear_messages(self) -> None: + """Clear all messages from the in-memory queue.""" + self._messages.clear() + + # -- internal helpers ------------------------------------------------------- + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["WebChatChannel"] diff --git a/src/openjarvis/channels/webhook.py b/src/openjarvis/channels/webhook.py new file mode 100644 index 00000000..c221ffe7 --- /dev/null +++ b/src/openjarvis/channels/webhook.py @@ -0,0 +1,139 @@ +"""WebhookChannel — generic outbound webhook adapter (zero extra deps).""" + +from __future__ import annotations + +import logging +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("webhook") +class WebhookChannel(BaseChannel): + """Generic outbound webhook channel (send-only). + + Parameters + ---------- + url: + Target webhook URL. + secret: + Optional shared secret sent in the ``X-Webhook-Secret`` header. + method: + HTTP method (default ``POST``). + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "webhook" + + def __init__( + self, + url: str = "", + *, + secret: str = "", + method: str = "POST", + bus: Optional[EventBus] = None, + ) -> None: + self._url = url + self._secret = secret + self._method = method.upper() + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Mark as connected (send-only — no persistent connection).""" + if not self._url: + logger.warning("No webhook URL configured") + self._status = ChannelStatus.ERROR + return + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Mark as disconnected.""" + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """POST a JSON payload to the configured webhook URL.""" + if not self._url: + logger.warning("Cannot send: no webhook URL configured") + return False + + try: + import httpx + + payload: Dict[str, Any] = { + "channel": channel, + "content": content, + } + if conversation_id: + payload["conversation_id"] = conversation_id + if metadata: + payload["metadata"] = metadata + + headers: Dict[str, str] = {} + if self._secret: + headers["X-Webhook-Secret"] = self._secret + + resp = httpx.request( + self._method, self._url, json=payload, + headers=headers, timeout=10.0, + ) + if resp.status_code < 300: + self._publish_sent(channel, content, conversation_id) + return True + logger.warning( + "Webhook returned status %d", resp.status_code, + ) + return False + except Exception: + logger.debug("Webhook send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["webhook"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages (no-op for webhook).""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["WebhookChannel"] diff --git a/src/openjarvis/channels/whatsapp.py b/src/openjarvis/channels/whatsapp.py new file mode 100644 index 00000000..eacc4f8b --- /dev/null +++ b/src/openjarvis/channels/whatsapp.py @@ -0,0 +1,141 @@ +"""WhatsAppChannel — WhatsApp Cloud API adapter.""" + +from __future__ import annotations + +import logging +import os +from typing import Any, Dict, List, Optional + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelStatus, +) +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + +logger = logging.getLogger(__name__) + + +@ChannelRegistry.register("whatsapp") +class WhatsAppChannel(BaseChannel): + """WhatsApp Cloud API channel adapter (send-only). + + Parameters + ---------- + access_token: + WhatsApp Cloud API access token. Falls back to + ``WHATSAPP_ACCESS_TOKEN`` env var. + phone_number_id: + WhatsApp phone number ID. Falls back to + ``WHATSAPP_PHONE_NUMBER_ID`` env var. + bus: + Optional event bus for publishing channel events. + """ + + channel_id = "whatsapp" + + def __init__( + self, + access_token: str = "", + *, + phone_number_id: str = "", + bus: Optional[EventBus] = None, + ) -> None: + self._token = access_token or os.environ.get("WHATSAPP_ACCESS_TOKEN", "") + self._phone_number_id = phone_number_id or os.environ.get( + "WHATSAPP_PHONE_NUMBER_ID", "", + ) + self._bus = bus + self._handlers: List[ChannelHandler] = [] + self._status = ChannelStatus.DISCONNECTED + + # -- connection lifecycle --------------------------------------------------- + + def connect(self) -> None: + """Mark as connected (send-only — no persistent connection).""" + if not self._token: + logger.warning("No WhatsApp access token configured") + self._status = ChannelStatus.ERROR + return + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + """Mark as disconnected.""" + self._status = ChannelStatus.DISCONNECTED + + # -- send / receive -------------------------------------------------------- + + def send( + self, + channel: str, + content: str, + *, + conversation_id: str = "", + metadata: Dict[str, Any] | None = None, + ) -> bool: + """Send a message via the WhatsApp Cloud API.""" + if not self._token: + logger.warning("Cannot send: no WhatsApp access token") + return False + + try: + import httpx + + url = ( + f"https://graph.facebook.com/v21.0/" + f"{self._phone_number_id}/messages" + ) + headers = { + "Authorization": f"Bearer {self._token}", + "Content-Type": "application/json", + } + payload: Dict[str, Any] = { + "messaging_product": "whatsapp", + "to": channel, + "type": "text", + "text": {"body": content}, + } + + resp = httpx.post( + url, json=payload, headers=headers, timeout=10.0, + ) + if resp.status_code < 300: + self._publish_sent(channel, content, conversation_id) + return True + logger.warning( + "WhatsApp API returned status %d", resp.status_code, + ) + return False + except Exception: + logger.debug("WhatsApp send failed", exc_info=True) + return False + + def status(self) -> ChannelStatus: + """Return the current connection status.""" + return self._status + + def list_channels(self) -> List[str]: + """Return available channel identifiers.""" + return ["whatsapp"] + + def on_message(self, handler: ChannelHandler) -> None: + """Register a callback for incoming messages.""" + self._handlers.append(handler) + + # -- internal helpers ------------------------------------------------------- + + def _publish_sent(self, channel: str, content: str, conversation_id: str) -> None: + """Publish a CHANNEL_MESSAGE_SENT event on the bus.""" + if self._bus is not None: + self._bus.publish( + EventType.CHANNEL_MESSAGE_SENT, + { + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }, + ) + + +__all__ = ["WhatsAppChannel"] diff --git a/src/openjarvis/cli/channel_cmd.py b/src/openjarvis/cli/channel_cmd.py index 877e8eaa..0ec48045 100644 --- a/src/openjarvis/cli/channel_cmd.py +++ b/src/openjarvis/cli/channel_cmd.py @@ -2,10 +2,137 @@ from __future__ import annotations +from typing import Any, Dict, Optional + import click from rich.console import Console from rich.table import Table +_CHANNEL_TYPE_HELP = ( + "Channel type (telegram, discord, slack, webhook, email, " + "whatsapp, signal, google_chat, irc, webchat, teams, " + "matrix, mattermost, feishu, bluebubbles)." +) + + +def _get_channel( + channel_type: str | None, + config: Any, +) -> Any: + """Resolve a channel backend by type. + + Resolution order: ``--channel-type`` flag > + ``config.channel.default_channel`` > error. + """ + import openjarvis.channels # noqa: F401 -- trigger registration + from openjarvis.core.registry import ChannelRegistry + + key = channel_type or config.channel.default_channel + if not key: + raise click.ClickException( + "No channel type specified. Use --channel-type or set " + "default_channel in [channel] config." + ) + + kwargs: Dict[str, Any] = {} + if key == "telegram": + tc = config.channel.telegram + if tc.bot_token: + kwargs["bot_token"] = tc.bot_token + elif key == "discord": + dc = config.channel.discord + if dc.bot_token: + kwargs["bot_token"] = dc.bot_token + elif key == "slack": + sc = config.channel.slack + if sc.bot_token: + kwargs["bot_token"] = sc.bot_token + if sc.app_token: + kwargs["app_token"] = sc.app_token + elif key == "webhook": + wc = config.channel.webhook + if wc.url: + kwargs["url"] = wc.url + if wc.secret: + kwargs["secret"] = wc.secret + if wc.method: + kwargs["method"] = wc.method + elif key == "email": + ec = config.channel.email + if ec.smtp_host: + kwargs["smtp_host"] = ec.smtp_host + kwargs["smtp_port"] = ec.smtp_port + if ec.username: + kwargs["username"] = ec.username + if ec.password: + kwargs["password"] = ec.password + kwargs["use_tls"] = ec.use_tls + elif key == "whatsapp": + wac = config.channel.whatsapp + if wac.access_token: + kwargs["access_token"] = wac.access_token + if wac.phone_number_id: + kwargs["phone_number_id"] = wac.phone_number_id + elif key == "signal": + sgc = config.channel.signal + if sgc.api_url: + kwargs["api_url"] = sgc.api_url + if sgc.phone_number: + kwargs["phone_number"] = sgc.phone_number + elif key == "google_chat": + gcc = config.channel.google_chat + if gcc.webhook_url: + kwargs["webhook_url"] = gcc.webhook_url + elif key == "irc": + ic = config.channel.irc + if ic.server: + kwargs["server"] = ic.server + kwargs["port"] = ic.port + if ic.nick: + kwargs["nick"] = ic.nick + if ic.password: + kwargs["password"] = ic.password + kwargs["use_tls"] = ic.use_tls + elif key == "webchat": + pass # no config needed + elif key == "teams": + tmc = config.channel.teams + if tmc.app_id: + kwargs["app_id"] = tmc.app_id + if tmc.app_password: + kwargs["app_password"] = tmc.app_password + if tmc.service_url: + kwargs["service_url"] = tmc.service_url + elif key == "matrix": + mc = config.channel.matrix + if mc.homeserver: + kwargs["homeserver"] = mc.homeserver + if mc.access_token: + kwargs["access_token"] = mc.access_token + elif key == "mattermost": + mmc = config.channel.mattermost + if mmc.url: + kwargs["url"] = mmc.url + if mmc.token: + kwargs["token"] = mmc.token + elif key == "feishu": + fc = config.channel.feishu + if fc.app_id: + kwargs["app_id"] = fc.app_id + if fc.app_secret: + kwargs["app_secret"] = fc.app_secret + elif key == "bluebubbles": + bbc = config.channel.bluebubbles + if bbc.url: + kwargs["url"] = bbc.url + if bbc.password: + kwargs["password"] = bbc.password + + if not ChannelRegistry.contains(key): + raise click.ClickException(f"Unknown channel type: {key}") + + return ChannelRegistry.create(key, **kwargs) + @click.group() def channel() -> None: @@ -13,82 +140,100 @@ def channel() -> None: @channel.command("list") -@click.option("--gateway", default=None, help="OpenClaw gateway URL.") -def channel_list(gateway: str | None) -> None: - """List available channels from the gateway.""" +@click.option( + "--channel-type", default=None, help=_CHANNEL_TYPE_HELP, +) +def channel_list( + channel_type: Optional[str], +) -> None: + """List available channels.""" console = Console() from openjarvis.core.config import load_config config = load_config() - gw_url = gateway or config.channel.gateway_url - - from openjarvis.channels.openclaw_bridge import OpenClawChannelBridge - - bridge = OpenClawChannelBridge(gateway_url=gw_url) try: - channels = bridge.list_channels() + ch = _get_channel(channel_type, config) + except click.ClickException as exc: + console.print(f"[red]{exc.message}[/red]") + return + + try: + channels = ch.list_channels() except Exception as exc: console.print(f"[red]Failed to list channels: {exc}[/red]") return if not channels: - console.print( - "[yellow]No channels available" - " (is OpenClaw gateway running?)[/yellow]" - ) + console.print("[yellow]No channels available[/yellow]") return table = Table(title="Available Channels") table.add_column("Channel", style="cyan") - for ch in channels: - table.add_row(ch) + for name in channels: + table.add_row(name) console.print(table) @channel.command("send") @click.argument("target") @click.argument("message") -@click.option("--gateway", default=None, help="OpenClaw gateway URL.") -def channel_send(target: str, message: str, gateway: str | None) -> None: +@click.option( + "--channel-type", default=None, help=_CHANNEL_TYPE_HELP, +) +def channel_send( + target: str, + message: str, + channel_type: Optional[str], +) -> None: """Send a message to a channel.""" console = Console() from openjarvis.core.config import load_config config = load_config() - gw_url = gateway or config.channel.gateway_url - from openjarvis.channels.openclaw_bridge import OpenClawChannelBridge + try: + ch = _get_channel(channel_type, config) + except click.ClickException as exc: + console.print(f"[red]{exc.message}[/red]") + return - bridge = OpenClawChannelBridge(gateway_url=gw_url) - - ok = bridge.send(target, message) + ok = ch.send(target, message) if ok: console.print(f"[green]Message sent to {target}[/green]") else: - console.print(f"[red]Failed to send message to {target}[/red]") + console.print( + f"[red]Failed to send message to {target}[/red]", + ) @channel.command("status") -@click.option("--gateway", default=None, help="OpenClaw gateway URL.") -def channel_status(gateway: str | None) -> None: - """Show channel bridge connection status.""" +@click.option( + "--channel-type", default=None, help=_CHANNEL_TYPE_HELP, +) +def channel_status( + channel_type: Optional[str], +) -> None: + """Show channel connection status.""" console = Console() from openjarvis.core.config import load_config config = load_config() - gw_url = gateway or config.channel.gateway_url - from openjarvis.channels.openclaw_bridge import OpenClawChannelBridge + try: + ch = _get_channel(channel_type, config) + except click.ClickException as exc: + console.print(f"[red]{exc.message}[/red]") + return - bridge = OpenClawChannelBridge(gateway_url=gw_url) - - st = bridge.status() + st = ch.status() color = { "connected": "green", "disconnected": "yellow", "connecting": "blue", "error": "red", }.get(st.value, "white") - console.print(f"Gateway: [cyan]{gw_url}[/cyan]") + + key = channel_type or config.channel.default_channel or "unknown" + console.print(f"Channel: [cyan]{key}[/cyan]") console.print(f"Status: [{color}]{st.value}[/{color}]") diff --git a/src/openjarvis/cli/serve.py b/src/openjarvis/cli/serve.py index 334e2533..58613548 100644 --- a/src/openjarvis/cli/serve.py +++ b/src/openjarvis/cli/serve.py @@ -142,23 +142,23 @@ def serve( console.print(f"[yellow]Agent '{agent_key}' failed to load: {exc}[/yellow]") traceback.print_exc() - # Set up channel bridge if enabled + # Set up channel backend if enabled channel_bridge = None - if config.channel.enabled: + if config.channel.enabled and config.channel.default_channel: try: - from openjarvis.channels.openclaw_bridge import OpenClawChannelBridge + from openjarvis.system import SystemBuilder - channel_bridge = OpenClawChannelBridge( - gateway_url=config.channel.gateway_url, - reconnect_interval=config.channel.reconnect_interval, - bus=bus, - ) - channel_bridge.connect() - console.print( - f" Channels: [cyan]{config.channel.gateway_url}[/cyan]" - ) + # Reuse _resolve_channel logic from SystemBuilder + sb = SystemBuilder(config) + sb._bus = bus + channel_bridge = sb._resolve_channel(config, bus) + if channel_bridge is not None: + channel_bridge.connect() + console.print( + f" Channel: [cyan]{config.channel.default_channel}[/cyan]" + ) except Exception as exc: - console.print(f"[yellow]Channel bridge failed to start: {exc}[/yellow]") + console.print(f"[yellow]Channel failed to start: {exc}[/yellow]") channel_bridge = None # Create app diff --git a/src/openjarvis/core/config.py b/src/openjarvis/core/config.py index d72da0b4..fb28e434 100644 --- a/src/openjarvis/core/config.py +++ b/src/openjarvis/core/config.py @@ -297,13 +297,155 @@ class TracesConfig: @dataclass(slots=True) +class TelegramChannelConfig: + """Per-channel config for Telegram.""" + + bot_token: str = "" + allowed_chat_ids: str = "" + parse_mode: str = "Markdown" + + +@dataclass(slots=True) +class DiscordChannelConfig: + """Per-channel config for Discord.""" + + bot_token: str = "" + + +@dataclass(slots=True) +class SlackChannelConfig: + """Per-channel config for Slack.""" + + bot_token: str = "" + app_token: str = "" + + +@dataclass(slots=True) +class WebhookChannelConfig: + """Per-channel config for generic webhooks.""" + + url: str = "" + secret: str = "" + method: str = "POST" + + +@dataclass(slots=True) +class EmailChannelConfig: + """Per-channel config for email (SMTP/IMAP).""" + + smtp_host: str = "" + smtp_port: int = 587 + imap_host: str = "" + imap_port: int = 993 + username: str = "" + password: str = "" + use_tls: bool = True + + +@dataclass(slots=True) +class WhatsAppChannelConfig: + """Per-channel config for WhatsApp Cloud API.""" + + access_token: str = "" + phone_number_id: str = "" + + +@dataclass(slots=True) +class SignalChannelConfig: + """Per-channel config for Signal (via signal-cli REST API).""" + + api_url: str = "" + phone_number: str = "" + + +@dataclass(slots=True) +class GoogleChatChannelConfig: + """Per-channel config for Google Chat webhooks.""" + + webhook_url: str = "" + + +@dataclass(slots=True) +class IRCChannelConfig: + """Per-channel config for IRC.""" + + server: str = "" + port: int = 6667 + nick: str = "" + password: str = "" + use_tls: bool = False + + +@dataclass(slots=True) +class WebChatChannelConfig: + """Per-channel config for in-memory webchat.""" + + pass + + +@dataclass(slots=True) +class TeamsChannelConfig: + """Per-channel config for Microsoft Teams (Bot Framework).""" + + app_id: str = "" + app_password: str = "" + service_url: str = "" + + +@dataclass(slots=True) +class MatrixChannelConfig: + """Per-channel config for Matrix.""" + + homeserver: str = "" + access_token: str = "" + + +@dataclass(slots=True) +class MattermostChannelConfig: + """Per-channel config for Mattermost.""" + + url: str = "" + token: str = "" + + +@dataclass(slots=True) +class FeishuChannelConfig: + """Per-channel config for Feishu (Lark).""" + + app_id: str = "" + app_secret: str = "" + + +@dataclass(slots=True) +class BlueBubblesChannelConfig: + """Per-channel config for BlueBubbles (iMessage bridge).""" + + url: str = "" + password: str = "" + + +@dataclass class ChannelConfig: """Channel messaging settings.""" enabled: bool = False - gateway_url: str = "ws://127.0.0.1:18789/ws" + default_channel: str = "" default_agent: str = "simple" - reconnect_interval: float = 5.0 + telegram: TelegramChannelConfig = field(default_factory=TelegramChannelConfig) + discord: DiscordChannelConfig = field(default_factory=DiscordChannelConfig) + slack: SlackChannelConfig = field(default_factory=SlackChannelConfig) + webhook: WebhookChannelConfig = field(default_factory=WebhookChannelConfig) + email: EmailChannelConfig = field(default_factory=EmailChannelConfig) + whatsapp: WhatsAppChannelConfig = field(default_factory=WhatsAppChannelConfig) + signal: SignalChannelConfig = field(default_factory=SignalChannelConfig) + google_chat: GoogleChatChannelConfig = field(default_factory=GoogleChatChannelConfig) + irc: IRCChannelConfig = field(default_factory=IRCChannelConfig) + webchat: WebChatChannelConfig = field(default_factory=WebChatChannelConfig) + teams: TeamsChannelConfig = field(default_factory=TeamsChannelConfig) + matrix: MatrixChannelConfig = field(default_factory=MatrixChannelConfig) + mattermost: MattermostChannelConfig = field(default_factory=MattermostChannelConfig) + feishu: FeishuChannelConfig = field(default_factory=FeishuChannelConfig) + bluebubbles: BlueBubblesChannelConfig = field(default_factory=BlueBubblesChannelConfig) @dataclass(slots=True) @@ -379,7 +521,7 @@ def load_config(path: Optional[Path] = None) -> JarvisConfig: # Simple top-level sections simple_sections = ( "engine", "intelligence", "learning", - "agent", "server", "telemetry", "traces", "channel", "security", + "agent", "server", "telemetry", "traces", "security", ) for section_name in simple_sections: if section_name in data: @@ -389,6 +531,22 @@ def load_config(path: Optional[Path] = None) -> JarvisConfig: if "memory" in data: _apply_toml_section(cfg.tools.storage, data["memory"]) + # [channel] with nested per-channel sub-configs + if "channel" in data: + ch_data = data["channel"] + # Top-level channel keys (enabled, default_channel, etc.) + for key, value in ch_data.items(): + if not isinstance(value, dict) and hasattr(cfg.channel, key): + setattr(cfg.channel, key, value) + # Nested per-channel configs + for sub in ( + "telegram", "discord", "slack", "webhook", "email", + "whatsapp", "signal", "google_chat", "irc", "webchat", + "teams", "matrix", "mattermost", "feishu", "bluebubbles", + ): + if sub in ch_data and isinstance(ch_data[sub], dict): + _apply_toml_section(getattr(cfg.channel, sub), ch_data[sub]) + # Tools: accept [tools] and nested [tools.storage], [tools.mcp] if "tools" in data: tools_data = data["tools"] @@ -462,9 +620,56 @@ enabled = false [channel] enabled = false -gateway_url = "ws://127.0.0.1:18789/ws" default_agent = "simple" -reconnect_interval = 5.0 + +# [channel.telegram] +# bot_token = "" # Or set TELEGRAM_BOT_TOKEN env var + +# [channel.discord] +# bot_token = "" # Or set DISCORD_BOT_TOKEN env var + +# [channel.slack] +# bot_token = "" # Or set SLACK_BOT_TOKEN env var + +# [channel.webhook] +# url = "" + +# [channel.whatsapp] +# access_token = "" # Or set WHATSAPP_ACCESS_TOKEN env var +# phone_number_id = "" # Or set WHATSAPP_PHONE_NUMBER_ID env var + +# [channel.signal] +# api_url = "" # signal-cli REST API URL +# phone_number = "" # Or set SIGNAL_PHONE_NUMBER env var + +# [channel.google_chat] +# webhook_url = "" # Or set GOOGLE_CHAT_WEBHOOK_URL env var + +# [channel.irc] +# server = "" +# port = 6667 +# nick = "" +# use_tls = false + +# [channel.teams] +# app_id = "" # Or set TEAMS_APP_ID env var +# app_password = "" # Or set TEAMS_APP_PASSWORD env var + +# [channel.matrix] +# homeserver = "" # Or set MATRIX_HOMESERVER env var +# access_token = "" # Or set MATRIX_ACCESS_TOKEN env var + +# [channel.mattermost] +# url = "" # Or set MATTERMOST_URL env var +# token = "" # Or set MATTERMOST_TOKEN env var + +# [channel.feishu] +# app_id = "" # Or set FEISHU_APP_ID env var +# app_secret = "" # Or set FEISHU_APP_SECRET env var + +# [channel.bluebubbles] +# url = "" # Or set BLUEBUBBLES_URL env var +# password = "" # Or set BLUEBUBBLES_PASSWORD env var [security] enabled = true @@ -479,23 +684,38 @@ enforce_tool_confirmation = true __all__ = [ "AgentConfig", + "BlueBubblesChannelConfig", "ChannelConfig", "DEFAULT_CONFIG_DIR", "DEFAULT_CONFIG_PATH", + "DiscordChannelConfig", + "EmailChannelConfig", "EngineConfig", + "FeishuChannelConfig", + "GoogleChatChannelConfig", "GpuInfo", "HardwareInfo", + "IRCChannelConfig", "IntelligenceConfig", "JarvisConfig", "LearningConfig", "MCPConfig", + "MatrixChannelConfig", + "MattermostChannelConfig", "MemoryConfig", "SecurityConfig", "ServerConfig", + "SignalChannelConfig", + "SlackChannelConfig", "StorageConfig", + "TeamsChannelConfig", + "TelegramChannelConfig", "TelemetryConfig", "ToolsConfig", "TracesConfig", + "WebChatChannelConfig", + "WebhookChannelConfig", + "WhatsAppChannelConfig", "detect_hardware", "generate_default_toml", "load_config", diff --git a/src/openjarvis/engine/__init__.py b/src/openjarvis/engine/__init__.py index e53291d8..a8e8fa93 100644 --- a/src/openjarvis/engine/__init__.py +++ b/src/openjarvis/engine/__init__.py @@ -21,6 +21,12 @@ try: except ImportError: pass +# LiteLLM engine is optional — only register if litellm is installed +try: + import openjarvis.engine.litellm # noqa: F401 +except ImportError: + pass + __all__ = [ "EngineConnectionError", "InferenceEngine", diff --git a/src/openjarvis/engine/_discovery.py b/src/openjarvis/engine/_discovery.py index 6d6d5b17..810bb9d7 100644 --- a/src/openjarvis/engine/_discovery.py +++ b/src/openjarvis/engine/_discovery.py @@ -15,6 +15,7 @@ _HOST_MAP: Dict[str, str | None] = { "llamacpp": "llamacpp_host", "sglang": "sglang_host", "cloud": None, + "litellm": None, } diff --git a/src/openjarvis/engine/litellm.py b/src/openjarvis/engine/litellm.py new file mode 100644 index 00000000..9fdfb693 --- /dev/null +++ b/src/openjarvis/engine/litellm.py @@ -0,0 +1,144 @@ +"""LiteLLM inference engine — unified access to 100+ LLM providers.""" + +from __future__ import annotations + +from collections.abc import AsyncIterator, Sequence +from typing import Any, Dict, List + +from openjarvis.core.registry import EngineRegistry +from openjarvis.core.types import Message +from openjarvis.engine._base import InferenceEngine, messages_to_dicts + + +@EngineRegistry.register("litellm") +class LiteLLMEngine(InferenceEngine): + """Inference via LiteLLM — routes to any supported provider. + + LiteLLM normalizes all providers (OpenAI, Anthropic, Google, DeepSeek, + Groq, Together, Fireworks, OpenRouter, Mistral, Cohere, xAI, Perplexity, + etc.) to OpenAI-format input/output. Model selection uses LiteLLM's + ``provider/model`` convention, e.g. ``anthropic/claude-sonnet-4-20250514``. + + API keys are read from environment variables following each provider's + convention (OPENAI_API_KEY, ANTHROPIC_API_KEY, GROQ_API_KEY, etc.). + """ + + engine_id = "litellm" + + def __init__( + self, + *, + api_base: str | None = None, + default_model: str | None = None, + ) -> None: + self._api_base = api_base + self._default_model = default_model + + def generate( + self, + messages: Sequence[Message], + *, + model: str, + temperature: float = 0.7, + max_tokens: int = 1024, + **kwargs: Any, + ) -> Dict[str, Any]: + import litellm + + call_kwargs: Dict[str, Any] = { + "model": model, + "messages": messages_to_dicts(messages), + "temperature": temperature, + "max_tokens": max_tokens, + } + if self._api_base: + call_kwargs["api_base"] = self._api_base + # Pass through tools if provided + if "tools" in kwargs: + call_kwargs["tools"] = kwargs.pop("tools") + call_kwargs.update(kwargs) + + resp = litellm.completion(**call_kwargs) + + choice = resp.choices[0] + usage = resp.usage + prompt_tokens = usage.prompt_tokens if usage else 0 + completion_tokens = usage.completion_tokens if usage else 0 + + result: Dict[str, Any] = { + "content": choice.message.content or "", + "usage": { + "prompt_tokens": prompt_tokens, + "completion_tokens": completion_tokens, + "total_tokens": (usage.total_tokens if usage else 0), + }, + "model": resp.model, + "finish_reason": choice.finish_reason or "stop", + } + + # Extract tool_calls in OpenAI format + if hasattr(choice.message, "tool_calls") and choice.message.tool_calls: + result["tool_calls"] = [ + { + "id": tc.id, + "type": "function", + "function": { + "name": tc.function.name, + "arguments": tc.function.arguments, + }, + } + for tc in choice.message.tool_calls + ] + + # Cost tracking via litellm's built-in cost calculation + try: + cost = litellm.completion_cost(completion_response=resp) + result["cost_usd"] = cost + except Exception: + result["cost_usd"] = 0.0 + + return result + + async def stream( + self, + messages: Sequence[Message], + *, + model: str, + temperature: float = 0.7, + max_tokens: int = 1024, + **kwargs: Any, + ) -> AsyncIterator[str]: + import litellm + + call_kwargs: Dict[str, Any] = { + "model": model, + "messages": messages_to_dicts(messages), + "temperature": temperature, + "max_tokens": max_tokens, + "stream": True, + } + if self._api_base: + call_kwargs["api_base"] = self._api_base + call_kwargs.update(kwargs) + + resp = litellm.completion(**call_kwargs) + for chunk in resp: + delta = chunk.choices[0].delta if chunk.choices else None + if delta and delta.content: + yield delta.content + + def list_models(self) -> List[str]: + if self._default_model: + return [self._default_model] + return [] + + def health(self) -> bool: + try: + import litellm # noqa: F401 + + return True + except ImportError: + return False + + +__all__ = ["LiteLLMEngine"] diff --git a/src/openjarvis/learning/__init__.py b/src/openjarvis/learning/__init__.py index c09f7ec4..3eb5b469 100644 --- a/src/openjarvis/learning/__init__.py +++ b/src/openjarvis/learning/__init__.py @@ -47,6 +47,12 @@ def ensure_registered() -> None: except ImportError: pass + # Orchestrator-native SFT & GRPO training + try: + import openjarvis.learning.orchestrator # noqa: F401 + except ImportError: + pass + __all__ = [ "HeuristicRewardFunction", diff --git a/src/openjarvis/learning/_stubs.py b/src/openjarvis/learning/_stubs.py index ae41f5e1..ecb1efbe 100644 --- a/src/openjarvis/learning/_stubs.py +++ b/src/openjarvis/learning/_stubs.py @@ -32,7 +32,7 @@ class RewardFunction(ABC): class LearningPolicy(ABC): """Base for all learning policies. Targets one or more pillars.""" - target: ClassVar[str] = "" # "intelligence" | "agent" | "tools" + target: ClassVar[str] = "" # "intelligence" | "agent" @abstractmethod def update(self, trace_store: Any, **kwargs: object) -> Dict[str, Any]: @@ -51,12 +51,6 @@ class AgentLearningPolicy(LearningPolicy): target: ClassVar[str] = "agent" -class ToolLearningPolicy(LearningPolicy): - """Updates tool usage (ICL examples, skills) from traces.""" - - target: ClassVar[str] = "tools" - - __all__ = [ "AgentLearningPolicy", "IntelligenceLearningPolicy", @@ -65,5 +59,4 @@ __all__ = [ "RewardFunction", "RouterPolicy", "RoutingContext", - "ToolLearningPolicy", ] diff --git a/src/openjarvis/learning/icl_updater.py b/src/openjarvis/learning/icl_updater.py index 06e7d42b..3ec416da 100644 --- a/src/openjarvis/learning/icl_updater.py +++ b/src/openjarvis/learning/icl_updater.py @@ -5,16 +5,17 @@ from __future__ import annotations from typing import Any, Dict, List from openjarvis.core.registry import LearningRegistry -from openjarvis.learning._stubs import ToolLearningPolicy +from openjarvis.learning._stubs import AgentLearningPolicy @LearningRegistry.register("icl_updater") -class ICLUpdaterPolicy(ToolLearningPolicy): +class ICLUpdaterPolicy(AgentLearningPolicy): """Updates in-context examples and discovers skills from traces. Analyzes traces for successful tool call patterns, extracts in-context learning examples, and discovers reusable multi-tool - sequences ("skills"). + sequences ("skills"). This updates *agent* logic (ICL examples + and tool-use strategies), not tool implementations themselves. """ def __init__( diff --git a/src/openjarvis/learning/orchestrator/__init__.py b/src/openjarvis/learning/orchestrator/__init__.py new file mode 100644 index 00000000..880dfa68 --- /dev/null +++ b/src/openjarvis/learning/orchestrator/__init__.py @@ -0,0 +1,84 @@ +"""Orchestrator training infrastructure — SFT and GRPO pipelines. + +Provides structured-mode training for the OrchestratorAgent with: + +- **Episode types**: Action, Observation, Episode, EpisodeState +- **Reward**: Multi-objective reward balancing accuracy, cost, energy, latency, power +- **Prompt registry**: Canonical system prompts for structured mode +- **Policy model**: HuggingFace LM wrapper for action prediction +- **Environment**: RL environment using OpenJarvis ToolExecutor +- **SFT trainer**: Supervised fine-tuning on successful trajectories +- **GRPO trainer**: Group Relative Policy Optimization + +Importing this module triggers registration of ``orchestrator_sft`` and +``orchestrator_grpo`` in :class:`~openjarvis.core.registry.LearningRegistry`. +""" + +from openjarvis.learning.orchestrator.environment import ( + OrchestratorEnvironment, +) +from openjarvis.learning.orchestrator.grpo_trainer import ( + OrchestratorGRPOConfig, + OrchestratorGRPOTrainer, +) +from openjarvis.learning.orchestrator.policy_model import ( + OrchestratorPolicyModel, +) +from openjarvis.learning.orchestrator.prompt_registry import ( + TOOL_DESCRIPTIONS, + build_system_prompt, +) +from openjarvis.learning.orchestrator.reward import ( + AdaptiveRewardWeights, + MultiObjectiveReward, + Normalizers, + RewardWeights, +) +from openjarvis.learning.orchestrator.sft_trainer import ( + OrchestratorSFTConfig, + OrchestratorSFTDataset, + OrchestratorSFTTrainer, +) +from openjarvis.learning.orchestrator.types import ( + Episode, + EpisodeState, + EpisodeStep, + OrchestratorAction, + OrchestratorObservation, + PolicyOutput, + extract_answer, + grade_answer, + normalize_number, +) + +__all__ = [ + # Types + "Episode", + "EpisodeState", + "EpisodeStep", + "OrchestratorAction", + "OrchestratorObservation", + "PolicyOutput", + "extract_answer", + "grade_answer", + "normalize_number", + # Reward + "AdaptiveRewardWeights", + "MultiObjectiveReward", + "Normalizers", + "RewardWeights", + # Prompt + "TOOL_DESCRIPTIONS", + "build_system_prompt", + # Policy + "OrchestratorPolicyModel", + # Environment + "OrchestratorEnvironment", + # SFT + "OrchestratorSFTConfig", + "OrchestratorSFTDataset", + "OrchestratorSFTTrainer", + # GRPO + "OrchestratorGRPOConfig", + "OrchestratorGRPOTrainer", +] diff --git a/src/openjarvis/learning/orchestrator/environment.py b/src/openjarvis/learning/orchestrator/environment.py new file mode 100644 index 00000000..cf87ef42 --- /dev/null +++ b/src/openjarvis/learning/orchestrator/environment.py @@ -0,0 +1,115 @@ +"""RL environment for orchestrator training. + +Adapted from IPW's ``environment.py``. Uses OpenJarvis's +:class:`~openjarvis.tools._stubs.ToolExecutor` for real tool dispatch +(as opposed to IPW's cached-telemetry approach), making it suitable for +both training and evaluation. +""" + +from __future__ import annotations + +import time +from typing import List, Tuple + +from openjarvis.core.types import ToolCall +from openjarvis.learning.orchestrator.types import ( + EpisodeState, + OrchestratorAction, + OrchestratorObservation, +) +from openjarvis.tools._stubs import BaseTool, ToolExecutor + + +class OrchestratorEnvironment: + """RL environment that executes tools via OpenJarvis ``ToolExecutor``. + + Parameters + ---------- + tools: + List of :class:`BaseTool` instances available to the agent. + max_turns: + Maximum number of turns per episode. + """ + + def __init__( + self, + tools: List[BaseTool], + max_turns: int = 10, + ) -> None: + self._tools = tools + self._executor = ToolExecutor(tools) + self._max_turns = max_turns + + def reset(self, task: str) -> EpisodeState: + """Reset the environment for a new episode. + + Args: + task: The initial task/question. + + Returns: + A fresh :class:`EpisodeState`. + """ + return EpisodeState(initial_prompt=task) + + def step( + self, + state: EpisodeState, + action: OrchestratorAction, + ) -> Tuple[EpisodeState, OrchestratorObservation]: + """Execute one step: dispatch the tool and observe the result. + + Raises: + ValueError: If the tool is not available or max turns exceeded. + """ + available = self.get_available_tools() + + if action.tool_name not in available: + raise ValueError( + f"Tool '{action.tool_name}' not available. " + f"Available: {available}" + ) + + if state.num_turns() >= self._max_turns: + raise ValueError( + f"Max turns ({self._max_turns}) exceeded" + ) + + # Execute tool via ToolExecutor + tool_call = ToolCall( + id=f"orch_{state.num_turns()}", + name=action.tool_name, + arguments=action.tool_input + if action.tool_input.startswith("{") + else f'{{"expression": {repr(action.tool_input)}}}', + ) + + t0 = time.time() + result = self._executor.execute(tool_call) + latency = time.time() - t0 + + observation = OrchestratorObservation( + content=result.content, + latency_seconds=latency, + cost_usd=result.cost_usd, + energy_joules=0.0, + power_watts=0.0, + tokens=result.usage.get("total_tokens", 0), + ) + + state.add_turn(action, observation) + return state, observation + + def is_done(self, state: EpisodeState) -> bool: + """Check if the episode is complete.""" + if state.final_answer is not None: + return True + if state.num_turns() >= self._max_turns: + return True + return False + + def get_available_tools(self) -> List[str]: + """Return names of all available tools.""" + return [t.spec.name for t in self._tools] + + +__all__ = ["OrchestratorEnvironment"] diff --git a/src/openjarvis/learning/orchestrator/grpo_trainer.py b/src/openjarvis/learning/orchestrator/grpo_trainer.py new file mode 100644 index 00000000..db4a020b --- /dev/null +++ b/src/openjarvis/learning/orchestrator/grpo_trainer.py @@ -0,0 +1,498 @@ +"""GRPO (Group Relative Policy Optimization) trainer for orchestrator. + +Adapted from IPW's ``trainer.py``. GRPO is simpler than PPO because it +doesn't require a separate critic model — instead, it uses +*group-relative advantages*: for each problem, sample N candidate +trajectories, compute rewards, normalise within the group, and update +the policy to increase the probability of better solutions. + +All ``torch``/``transformers`` imports are guarded so the module can be +imported without GPU dependencies. +""" + +from __future__ import annotations + +import json +import shutil +from dataclasses import asdict, dataclass, field +from pathlib import Path +from typing import Any, Dict, List + +# Optional imports ----------------------------------------------------------- +try: + import torch + import torch.nn.functional as F + + HAS_TORCH = True +except ImportError: + HAS_TORCH = False + torch = None # type: ignore[assignment] + F = None # type: ignore[assignment] + +from openjarvis.core.registry import LearningRegistry +from openjarvis.learning._stubs import AgentLearningPolicy + +# --------------------------------------------------------------------------- +# Config +# --------------------------------------------------------------------------- + + +@dataclass +class OrchestratorGRPOConfig: + """Configuration for orchestrator GRPO training.""" + + # Model + model_name: str = "Qwen/Qwen3-1.7B" + max_prompt_length: int = 24000 + max_response_length: int = 8768 + + # Training + num_epochs: int = 10 + batch_size: int = 16 + learning_rate: float = 1e-6 + max_grad_norm: float = 1.0 + + # GRPO specific + num_samples_per_prompt: int = 8 + temperature: float = 1.0 + kl_coef: float = 0.0001 + clip_ratio: float = 0.2 + + # Environment + available_tools: List[str] = field( + default_factory=lambda: [ + "calculator", + "think", + "code_interpreter", + "web_search", + ] + ) + max_turns: int = 10 + + # Checkpoint + checkpoint_dir: str = "checkpoints/orchestrator_grpo" + save_every_n_epochs: int = 1 + keep_last_n: int = 3 + + # Memory + gradient_checkpointing: bool = True + use_8bit_ref: bool = True + use_8bit_optimizer: bool = False + + +# --------------------------------------------------------------------------- +# Trainer +# --------------------------------------------------------------------------- + + +class OrchestratorGRPOTrainer: + """GRPO trainer for orchestrator policy. + + ``torch`` must be installed to call :meth:`train`. + """ + + def __init__(self, config: OrchestratorGRPOConfig) -> None: + self.config = config + self.device = None + self.global_step = 0 + + if HAS_TORCH and torch is not None: + self.device = torch.device( + "cuda" if torch.cuda.is_available() else "cpu" + ) + + self._init_model() + self._init_optimizer() + + # -- Initialisation ------------------------------------------------------ + + def _init_model(self) -> None: + from openjarvis.learning.orchestrator.policy_model import ( + OrchestratorPolicyModel, + ) + + if not HAS_TORCH: + self.policy: Any = OrchestratorPolicyModel() + self.ref_policy: Any = OrchestratorPolicyModel() + return + + device_str = str(self.device) if self.device else None + + self.policy = OrchestratorPolicyModel.from_pretrained( + self.config.model_name, + gradient_checkpointing=self.config.gradient_checkpointing, + device=device_str, + ) + if self.policy.model is not None: + self.policy.model.train() + + self.ref_policy = OrchestratorPolicyModel.from_pretrained( + self.config.model_name, + load_in_8bit=self.config.use_8bit_ref, + device=device_str, + ) + if self.ref_policy.model is not None: + self.ref_policy.model.eval() + for param in self.ref_policy.model.parameters(): + param.requires_grad = False + + def _init_optimizer(self) -> None: + if not HAS_TORCH or self.policy.model is None: + self.optimizer: Any = None + return + + if self.config.use_8bit_optimizer: + try: + import bitsandbytes as bnb + + self.optimizer = bnb.optim.AdamW8bit( + self.policy.model.parameters(), + lr=self.config.learning_rate, + ) + return + except ImportError: + pass + + self.optimizer = torch.optim.AdamW( + self.policy.model.parameters(), + lr=self.config.learning_rate, + ) + + # -- Training loop ------------------------------------------------------- + + def train(self) -> None: + """Run the GRPO training loop.""" + if not HAS_TORCH: + raise RuntimeError( + "PyTorch is required for training. " + "Install with: pip install torch transformers" + ) + + for epoch in range(self.config.num_epochs): + self._train_epoch(epoch) + + if (epoch + 1) % self.config.save_every_n_epochs == 0: + self._save_checkpoint(epoch) + + def _train_epoch(self, epoch: int) -> Dict[str, float]: + if self.policy.model is None: + return {"epoch": epoch, "loss": 0.0, "reward": 0.0} + + self.policy.model.train() + total_loss = 0.0 + total_reward = 0.0 + num_batches = 0 + + # In a real implementation, iterate over a task dataset. + # Here we provide the skeleton; actual data loading is + # trainer-specific. + self.global_step += 1 + num_batches = max(num_batches, 1) + + avg_loss = total_loss / num_batches if num_batches > 0 else 0.0 + avg_reward = total_reward / num_batches if num_batches > 0 else 0.0 + return {"epoch": epoch, "loss": avg_loss, "reward": avg_reward} + + def _grpo_step( + self, + prompts: List[str], + ground_truths: List[str], + ) -> tuple: + """Perform one GRPO training step. + + For each prompt: + 1. Generate N candidate trajectories. + 2. Compute reward for each. + 3. Normalise advantages within the group. + 4. Compute clipped policy gradient + KL penalty. + 5. Backward + clip + step. + + Returns ``(loss_value, avg_reward)``. + """ + if self.policy.model is None or not HAS_TORCH: + raise RuntimeError("Cannot train without PyTorch and model.") + + self.policy.model.train() + + all_prompts: list[str] = [] + all_responses: list[str] = [] + all_advantages: list[float] = [] + all_rewards: list[float] = [] + + from openjarvis.learning.orchestrator.reward import ( + MultiObjectiveReward, + Normalizers, + RewardWeights, + ) + from openjarvis.learning.orchestrator.types import ( + Episode, + ) + + reward_fn = MultiObjectiveReward(RewardWeights(), Normalizers()) + + for prompt, gt in zip(prompts, ground_truths): + group_rewards: list[float] = [] + group_responses: list[str] = [] + + for _ in range(self.config.num_samples_per_prompt): + response, _log_probs = self._generate_with_log_probs(prompt) + + # Build a minimal episode for reward computation + episode = Episode( + task_id="grpo", + initial_prompt=prompt, + ground_truth=gt, + final_answer=response, + correct=(response.strip() == gt.strip()), + ) + reward = reward_fn.compute(episode) + + group_rewards.append(reward) + group_responses.append(response) + + # Group-relative advantages + mean_r = sum(group_rewards) / len(group_rewards) + std_r = ( + sum((r - mean_r) ** 2 for r in group_rewards) + / len(group_rewards) + ) ** 0.5 + if std_r > 1e-8: + advantages = [(r - mean_r) / std_r for r in group_rewards] + else: + advantages = [0.0] * len(group_rewards) + + for resp, adv, rew in zip(group_responses, advantages, group_rewards): + all_prompts.append(prompt) + all_responses.append(resp) + all_advantages.append(adv) + all_rewards.append(rew) + + # Policy gradient loss + total_loss = torch.tensor(0.0, device=self.device, requires_grad=True) + + for prompt, response, advantage in zip( + all_prompts, all_responses, all_advantages + ): + current_lp = self._compute_log_probs(prompt, response) + with torch.no_grad(): + ref_lp = self._compute_log_probs_ref(prompt, response) + + log_ratio = current_lp - ref_lp + ratio = torch.exp(log_ratio) + ratio = torch.clamp(ratio, min=0.01, max=100.0) + + clip = self.config.clip_ratio + clipped = torch.clamp(ratio, 1 - clip, 1 + clip) + + policy_loss = -torch.min(ratio * advantage, clipped * advantage) + kl = (ratio - 1) - log_ratio + total_loss = total_loss + policy_loss + self.config.kl_coef * kl + + avg_loss = total_loss / max(len(all_prompts), 1) + loss_val = avg_loss.item() + + if torch.isnan(avg_loss) or torch.isinf(avg_loss): + avg_reward = ( + sum(all_rewards) / len(all_rewards) if all_rewards else 0.0 + ) + return 0.0, float(avg_reward) + + self.optimizer.zero_grad() + avg_loss.backward() + + # Check for NaN gradients + for param in self.policy.model.parameters(): + if param.grad is not None and torch.isnan(param.grad).any(): + self.optimizer.zero_grad() + avg_reward = ( + sum(all_rewards) / len(all_rewards) + if all_rewards + else 0.0 + ) + return float(loss_val), float(avg_reward) + + torch.nn.utils.clip_grad_norm_( + self.policy.model.parameters(), self.config.max_grad_norm + ) + self.optimizer.step() + + avg_reward = ( + sum(all_rewards) / len(all_rewards) if all_rewards else 0.0 + ) + return float(loss_val), float(avg_reward) + + # -- Generation / log-prob helpers --------------------------------------- + + def _generate_with_log_probs( + self, prompt: str + ) -> "tuple[str, Any]": + """Generate a response and return ``(text, log_probs)``.""" + inputs = self.policy.tokenizer( + prompt, + return_tensors="pt", + truncation=True, + max_length=min(self.config.max_prompt_length, 16000), + ).to(self.device) + + input_len = inputs.input_ids.shape[1] + max_new = min(self.config.max_response_length, 32000 - input_len - 100) + max_new = max(min(max_new, 2048), 128) + + with torch.no_grad(): + outputs = self.policy.model.generate( + **inputs, + max_new_tokens=max_new, + temperature=self.config.temperature, + do_sample=True, + output_scores=True, + return_dict_in_generate=True, + ) + + generated_ids = outputs.sequences[0][input_len:] + if len(generated_ids) == 0: + return "", torch.tensor(0.0, device=self.device) + + text = self.policy.tokenizer.decode( + generated_ids, skip_special_tokens=True + ) + + log_probs = [] + for token_id, logits in zip(generated_ids, outputs.scores): + probs = F.softmax(logits[0], dim=-1) + tid = token_id.item() + if 0 <= tid < probs.shape[0]: + log_probs.append(torch.log(probs[tid] + 1e-10)) + + total_lp = ( + torch.stack(log_probs).sum() + if log_probs + else torch.tensor(0.0, device=self.device) + ) + return text, total_lp + + def _compute_log_probs( + self, prompt: str, response: str + ) -> "torch.Tensor": + """Log-probs of *response* given *prompt* under current policy.""" + full = prompt + response + inputs = self.policy.tokenizer( + full, return_tensors="pt", truncation=True + ).to(self.device) + prompt_inputs = self.policy.tokenizer( + prompt, return_tensors="pt", truncation=True + ).to(self.device) + + with torch.enable_grad(): + logits = self.policy.model(**inputs).logits + + start = len(prompt_inputs.input_ids[0]) + end = len(inputs.input_ids[0]) + + lps = [] + for i in range(start, end - 1): + lp = F.log_softmax(logits[0, i, :], dim=-1)[ + inputs.input_ids[0, i + 1] + ] + lps.append(lp) + + return torch.stack(lps).sum() if lps else torch.tensor(0.0) + + def _compute_log_probs_ref( + self, prompt: str, response: str + ) -> "torch.Tensor": + """Log-probs under the frozen reference policy (no grad).""" + full = prompt + response + inputs = self.ref_policy.tokenizer( + full, return_tensors="pt", truncation=True + ).to(self.device) + prompt_inputs = self.ref_policy.tokenizer( + prompt, return_tensors="pt", truncation=True + ).to(self.device) + + with torch.no_grad(): + logits = self.ref_policy.model(**inputs).logits + + start = len(prompt_inputs.input_ids[0]) + end = len(inputs.input_ids[0]) + + lps = [] + for i in range(start, end - 1): + lp = F.log_softmax(logits[0, i, :], dim=-1)[ + inputs.input_ids[0, i + 1] + ] + lps.append(lp) + + return torch.stack(lps).sum() if lps else torch.tensor(0.0) + + # -- Checkpointing ------------------------------------------------------- + + def _save_checkpoint(self, epoch: int) -> None: + checkpoint_dir = Path(self.config.checkpoint_dir) + checkpoint_dir.mkdir(parents=True, exist_ok=True) + + checkpoint_path = checkpoint_dir / f"epoch_{epoch + 1}" + if self.policy.model is not None: + self.policy.save(str(checkpoint_path)) + + state_path = checkpoint_path / "training_state.json" + state = { + "epoch": epoch, + "global_step": self.global_step, + "config": asdict(self.config), + } + with open(state_path, "w") as f: + json.dump(state, f, indent=2) + + self._cleanup_old_checkpoints() + + def _cleanup_old_checkpoints(self) -> None: + checkpoint_dir = Path(self.config.checkpoint_dir) + if not checkpoint_dir.exists(): + return + + checkpoints = sorted( + [ + d + for d in checkpoint_dir.iterdir() + if d.is_dir() and d.name.startswith("epoch_") + ], + key=lambda x: int(x.name.split("_")[1]), + reverse=True, + ) + + for old in checkpoints[self.config.keep_last_n :]: + shutil.rmtree(old) + + +# --------------------------------------------------------------------------- +# Registry wrapper +# --------------------------------------------------------------------------- + + +def _ensure_registered() -> None: + if LearningRegistry.contains("orchestrator_grpo"): + return + + @LearningRegistry.register("orchestrator_grpo") + class OrchestratorGRPOPolicy(AgentLearningPolicy): + """Wrapper that registers the GRPO trainer as a learning policy.""" + + def update( + self, trace_store: Any, **kwargs: object + ) -> Dict[str, Any]: + config = OrchestratorGRPOConfig(**{ + k: v for k, v in kwargs.items() + if k in OrchestratorGRPOConfig.__dataclass_fields__ + }) + trainer = OrchestratorGRPOTrainer(config) + trainer.train() + return {"status": "grpo_training_complete"} + + +_ensure_registered() + + +__all__ = [ + "OrchestratorGRPOConfig", + "OrchestratorGRPOTrainer", +] diff --git a/src/openjarvis/learning/orchestrator/policy_model.py b/src/openjarvis/learning/orchestrator/policy_model.py new file mode 100644 index 00000000..2a32ec72 --- /dev/null +++ b/src/openjarvis/learning/orchestrator/policy_model.py @@ -0,0 +1,294 @@ +"""Policy model wrapper for orchestrator training. + +Adapted from IPW's ``policy.py``. Wraps a HuggingFace causal LM +(e.g. Qwen3-1.7B) to predict structured actions in the orchestrator +environment. All ``torch``/``transformers`` imports are guarded so the +module can be imported without GPU dependencies. +""" + +from __future__ import annotations + +import re +from typing import Any, List, Optional + +from openjarvis.learning.orchestrator.types import ( + EpisodeState, + OrchestratorAction, + PolicyOutput, +) + +# Optional imports ----------------------------------------------------------- +try: + import torch # noqa: F401 + + HAS_TORCH = True +except ImportError: + HAS_TORCH = False + torch = None # type: ignore[assignment] + + +class OrchestratorPolicyModel: + """Wrapper around a causal LM for orchestrator policy prediction. + + Input format (prompt):: + + Task: {initial_prompt} + + Available tools: calculator, think, ... + + History: + Turn 1: + Thought: ... + Tool: ... + Observation: ... + + What should you do next? + Format your response as: + THOUGHT: [your reasoning] + TOOL: [tool_name] + INPUT: [input for tool] + + Output format (from model):: + + THOUGHT: [reasoning] + TOOL: [tool_name] + INPUT: [input] + --- or --- + FINAL_ANSWER: [answer] + """ + + def __init__( + self, + model: Any = None, + tokenizer: Any = None, + max_tokens: int = 256, + temperature: float = 0.7, + ) -> None: + self.model = model + self.tokenizer = tokenizer + self.max_tokens = max_tokens + self.temperature = temperature + + # -- Factory methods ----------------------------------------------------- + + @classmethod + def from_pretrained( + cls, + model_name: str = "Qwen/Qwen3-1.7B", + gradient_checkpointing: bool = False, + load_in_8bit: bool = False, + device: Optional[str] = None, + **kwargs: Any, + ) -> "OrchestratorPolicyModel": + """Load model from a HuggingFace checkpoint. + + Raises ``ImportError`` if ``transformers`` is not installed. + """ + import torch as _torch + from transformers import AutoModelForCausalLM, AutoTokenizer + + tokenizer = AutoTokenizer.from_pretrained(model_name) + + model_kwargs: dict[str, Any] = {"torch_dtype": _torch.bfloat16} + + if load_in_8bit: + try: + from transformers import BitsAndBytesConfig + + model_kwargs["quantization_config"] = BitsAndBytesConfig( + load_in_8bit=True + ) + except ImportError: + pass # fall back to bf16 + + if device is not None: + if device == "auto": + model_kwargs["device_map"] = "auto" + else: + model_kwargs["device_map"] = {"": device} + + model = AutoModelForCausalLM.from_pretrained(model_name, **model_kwargs) + + if gradient_checkpointing and hasattr( + model, "gradient_checkpointing_enable" + ): + model.gradient_checkpointing_enable( + gradient_checkpointing_kwargs={"use_reentrant": False} + ) + + return cls(model=model, tokenizer=tokenizer, **kwargs) + + @classmethod + def from_checkpoint( + cls, checkpoint_path: str, **kwargs: Any + ) -> "OrchestratorPolicyModel": + """Load from a previously saved checkpoint directory.""" + return cls.from_pretrained(checkpoint_path, **kwargs) + + # -- Prediction ---------------------------------------------------------- + + def predict_action( + self, + state: EpisodeState, + available_tools: List[str], + ) -> OrchestratorAction: + """Predict the next action given current state.""" + prompt = self._build_prompt(state, available_tools) + + if self.model is None: + raise RuntimeError( + "Cannot generate actions without a loaded model. " + "Load with OrchestratorPolicyModel.from_pretrained() first." + ) + + output_text = self._generate(prompt) + policy_output = self._parse_output(output_text, available_tools) + return OrchestratorAction( + thought=policy_output.thought, + tool_name=policy_output.tool_name, + tool_input=policy_output.tool_input, + is_final_answer=policy_output.is_final_answer, + ) + + # -- Internal helpers ---------------------------------------------------- + + def _build_prompt( + self, + state: EpisodeState, + available_tools: List[str], + ) -> str: + """Build the text prompt from current state.""" + parts: list[str] = [] + + parts.append(f"Task: {state.initial_prompt}") + parts.append("") + + tools_str = ", ".join(available_tools) + parts.append(f"Available tools: {tools_str}") + parts.append("") + + if state.history: + parts.append("History:") + for i, (action, observation) in enumerate(state.history, 1): + parts.append(f"Turn {i}:") + parts.append(f" Thought: {action.thought}") + parts.append(f" Tool: {action.tool_name}") + parts.append( + f" Observation: {observation.content[:100]}..." + ) + parts.append("") + + parts.append("What should you do next?") + parts.append("Format your response as:") + parts.append("THOUGHT: [your reasoning]") + parts.append("TOOL: [tool_name]") + parts.append("INPUT: [input for tool]") + parts.append("") + + return "\n".join(parts) + + def _parse_output( + self, + output_text: str, + available_tools: List[str], + ) -> PolicyOutput: + """Parse structured model output into a :class:`PolicyOutput`.""" + # Check for FINAL_ANSWER first + final_match = re.search( + r"FINAL[_ ]?ANSWER:\s*(.+?)(?:\n|$)", + output_text, + re.IGNORECASE | re.DOTALL, + ) + if final_match: + thought_match = re.search( + r"THOUGHT:\s*(.+?)(?:\n|$)", output_text, re.IGNORECASE + ) + return PolicyOutput( + thought=( + thought_match.group(1).strip() + if thought_match + else "" + ), + tool_name="", + tool_input=final_match.group(1).strip(), + is_final_answer=True, + raw_text=output_text, + ) + + thought_match = re.search( + r"THOUGHT:\s*(.+?)(?:\n|$)", output_text, re.IGNORECASE + ) + tool_match = re.search( + r"TOOL:\s*(.+?)(?:\n|$)", output_text, re.IGNORECASE + ) + input_match = re.search( + r"INPUT:\s*(.+?)(?:\nTHOUGHT:|\nTOOL:|\nFINAL|\Z)", + output_text, + re.IGNORECASE | re.DOTALL, + ) + + thought = ( + thought_match.group(1).strip() + if thought_match + else "No thought provided" + ) + tool_name = ( + tool_match.group(1).strip() + if tool_match + else (available_tools[0] if available_tools else "unknown") + ) + tool_input = input_match.group(1).strip() if input_match else "" + + # Validate / fuzzy-match tool name + if tool_name not in available_tools: + tool_name_lower = tool_name.lower() + matched = False + for t in available_tools: + if t.lower() == tool_name_lower: + tool_name = t + matched = True + break + if not matched: + tool_name = available_tools[0] if available_tools else "unknown" + + return PolicyOutput( + thought=thought, + tool_name=tool_name, + tool_input=tool_input, + is_final_answer=False, + raw_text=output_text, + ) + + def _generate(self, prompt: str) -> str: + """Generate text from the loaded model.""" + inputs = self.tokenizer(prompt, return_tensors="pt").to( + self.model.device + ) + outputs = self.model.generate( + **inputs, + max_new_tokens=self.max_tokens, + temperature=self.temperature, + do_sample=True, + ) + return self.tokenizer.decode( + outputs[0][len(inputs.input_ids[0]) :], + skip_special_tokens=True, + ) + + def save(self, path: str) -> None: + """Save model and tokenizer to *path*.""" + if self.model is not None: + self.model.save_pretrained(path) + self.tokenizer.save_pretrained(path) + + def __repr__(self) -> str: + model_name = ( + "None" if self.model is None else type(self.model).__name__ + ) + return ( + f"OrchestratorPolicyModel(model={model_name}, " + f"max_tokens={self.max_tokens})" + ) + + +__all__ = ["OrchestratorPolicyModel"] diff --git a/src/openjarvis/learning/orchestrator/prompt_registry.py b/src/openjarvis/learning/orchestrator/prompt_registry.py new file mode 100644 index 00000000..68c4f251 --- /dev/null +++ b/src/openjarvis/learning/orchestrator/prompt_registry.py @@ -0,0 +1,308 @@ +"""Prompt registry for orchestrator structured mode. + +Adapted from IPW's ``prompt_registry.py``. Provides the canonical system +prompt template and tool descriptions used by the structured-mode +``OrchestratorAgent`` and by the SFT/GRPO training pipelines. +""" + +from __future__ import annotations + +from typing import Dict, List, Optional + +PROMPT_VERSION = "1.0" + +SYSTEM_PROMPT_TEMPLATE = """\ +You are an intelligent orchestrator that solves tasks by \ +delegating to the most appropriate tools. + +Your job is to SELECT THE BEST TOOL for each task based on the tool's strengths. + +=== AVAILABLE TOOLS === +{tools_description} + +=== TOOL SELECTION GUIDE === +{tool_selection_guide} + +=== RESPONSE FORMAT === +You MUST respond in this EXACT format: + +THOUGHT: +TOOL: +INPUT: + +After getting tool results, either use another tool or give final answer: +THOUGHT: +FINAL_ANSWER: + +=== CRITICAL RULES === +1. You MUST use at least one tool for EVERY task - never answer directly +2. Match the tool to the task type (see guide above) +3. For LLM tools, write clear prompts that will get good responses +4. Prefer specialized tools when available \ +(calculator for math, code_interpreter for code) +5. For simple factual questions, use fast/cheap tools when available + +NOW SOLVE THE TASK. You MUST use at least one tool - choose the best one for the task. +""" + +# --------------------------------------------------------------------------- +# Tool descriptions for OpenJarvis built-in tools +# --------------------------------------------------------------------------- + +TOOL_DESCRIPTIONS: Dict[str, dict] = { + # Utility tools (instant, free, deterministic) + "calculator": { + "category": "utility", + "description": ( + "CALCULATOR - Instant math computation\n" + " - BEST FOR: Arithmetic, algebra, trigonometry, scientific calculations\n" + " - STRENGTHS: Instant (<1ms), perfect accuracy, zero cost\n" + " - USE WHEN: Any math expression needs evaluation\n" + " - COST: Free\n" + " - Input: math expression (e.g., '15 * 7 + 23', 'sqrt(144)')" + ), + "examples": [ + { + "task": "What is 847 * 293?", + "thought": "Simple arithmetic - calculator is instant and accurate.", + "input": "847 * 293", + }, + ], + }, + "think": { + "category": "utility", + "description": ( + "THINK - Internal reasoning scratchpad\n" + " - BEST FOR: Logic puzzles, step-by-step reasoning, planning\n" + " - STRENGTHS: Organizes thoughts, shows work, no external calls\n" + " - USE WHEN: Need to break down a problem before solving\n" + " - COST: Free\n" + " - Input: your detailed reasoning process" + ), + "examples": [ + { + "task": "If all cats are mammals, are all cats animals?", + "thought": "Logical syllogism - use think to reason step by step.", + "input": "Cats subset of mammals subset of animals => yes.", + }, + ], + }, + "code_interpreter": { + "category": "utility", + "description": ( + "CODE_INTERPRETER - Python execution sandbox\n" + " - BEST FOR: Data processing, algorithms, simulations\n" + " - STRENGTHS: Full Python + numpy/pandas, handles loops\n" + " - USE WHEN: Problem needs programming logic\n" + " - COST: Free (local execution)\n" + " - Input: Python code to execute" + ), + "examples": [ + { + "task": "Find all prime numbers less than 50", + "thought": ( + "Need a prime-checking algorithm" + " - code_interpreter is ideal." + ), + "input": ( + "def is_prime(n):\n" + " if n < 2: return False\n" + " for i in range(2, int(n**0.5)+1):\n" + " if n % i == 0: return False\n" + " return True\n" + "print([n for n in range(50) if is_prime(n)])" + ), + }, + ], + }, + "web_search": { + "category": "utility", + "description": ( + "WEB_SEARCH - Real-time internet search\n" + " - BEST FOR: Current events, fact-checking, recent info\n" + " - STRENGTHS: Access to up-to-date information\n" + " - USE WHEN: Question about recent events or needs verification\n" + " - COST: ~$0.001 per search\n" + " - Input: search query string" + ), + "examples": [ + { + "task": "Who won the 2024 Nobel Prize in Physics?", + "thought": "Recent events - need web_search for current info.", + "input": "2024 Nobel Prize Physics winner", + }, + ], + }, + "file_read": { + "category": "utility", + "description": ( + "FILE_READ - Safe file reading\n" + " - BEST FOR: Reading file contents with path validation\n" + " - STRENGTHS: Sandboxed, prevents directory traversal\n" + " - USE WHEN: Need to read local file contents\n" + " - COST: Free\n" + " - Input: file path" + ), + "examples": [], + }, + # Memory tools + "memory_search": { + "category": "memory", + "description": ( + "MEMORY_SEARCH - Search indexed documents\n" + " - BEST FOR: Finding relevant stored knowledge\n" + " - STRENGTHS: Semantic search over indexed content\n" + " - USE WHEN: Answer may exist in indexed documents\n" + " - COST: Free (local)\n" + " - Input: search query" + ), + "examples": [], + }, + "memory_store": { + "category": "memory", + "description": ( + "MEMORY_STORE - Store content in memory\n" + " - BEST FOR: Saving information for later retrieval\n" + " - STRENGTHS: Persistent storage with metadata\n" + " - USE WHEN: Need to remember something for future queries\n" + " - COST: Free (local)\n" + " - Input: content to store" + ), + "examples": [], + }, + "memory_retrieve": { + "category": "memory", + "description": ( + "MEMORY_RETRIEVE - Retrieve stored content by key\n" + " - BEST FOR: Fetching previously stored information\n" + " - STRENGTHS: Fast key-based retrieval\n" + " - USE WHEN: Know the exact key of stored content\n" + " - COST: Free (local)\n" + " - Input: content key" + ), + "examples": [], + }, + # LLM tool + "llm": { + "category": "llm", + "description": ( + "LLM - Sub-model calls via engine\n" + " - BEST FOR: Natural language understanding, generation, analysis\n" + " - STRENGTHS: General-purpose language capabilities\n" + " - USE WHEN: Task needs natural language reasoning\n" + " - COST: Varies by engine/model\n" + " - Input: prompt for the model" + ), + "examples": [ + { + "task": "Explain photosynthesis simply", + "thought": "General explanation - use LLM for natural language.", + "input": "Explain photosynthesis in simple terms.", + }, + ], + }, +} + + +def build_system_prompt(tool_names: Optional[List[str]] = None) -> str: + """Build the complete system prompt for the given tools. + + Args: + tool_names: Tool names to include. If ``None``, uses all + tools from :data:`TOOL_DESCRIPTIONS`. + + Returns: + Complete system prompt string. + """ + if tool_names is None: + tool_names = list(TOOL_DESCRIPTIONS) + + # Tool descriptions + desc_lines: list[str] = [] + for name in tool_names: + if name in TOOL_DESCRIPTIONS: + desc = TOOL_DESCRIPTIONS[name]["description"] + else: + desc = f"Tool: {name}" + desc_lines.append(f"- {name}: {desc}") + + # Group tools by category + by_cat: Dict[str, List[str]] = {} + for name in tool_names: + cat = ( + TOOL_DESCRIPTIONS[name]["category"] + if name in TOOL_DESCRIPTIONS + else "llm" + ) + by_cat.setdefault(cat, []).append(name) + + guide: list[str] = [ + "Choose tools based on task type:\n", + ] + + # Math + math_lines: list[str] = [] + if "calculator" in tool_names: + math_lines.append( + "- Simple arithmetic/algebra -> calculator (instant, accurate)" + ) + if "code_interpreter" in tool_names: + math_lines.append( + "- Numerical algorithms -> code_interpreter (programmable)" + ) + if math_lines: + guide.append("MATH PROBLEMS:") + guide.extend(math_lines) + guide.append("") + + # Coding + code_lines: list[str] = [] + if "code_interpreter" in tool_names: + code_lines.append( + "- Algorithm implementation/execution -> code_interpreter" + ) + if code_lines: + guide.append("CODING TASKS:") + guide.extend(code_lines) + guide.append("") + + # Reasoning + reasoning_lines: list[str] = [] + if "think" in tool_names: + reasoning_lines.append( + "- Step-by-step analysis -> think (organize thoughts first)" + ) + llm_tools = by_cat.get("llm", []) + if llm_tools: + reasoning_lines.append( + f"- Complex reasoning -> {', '.join(llm_tools)}" + ) + if reasoning_lines: + guide.append("REASONING/LOGIC:") + guide.extend(reasoning_lines) + guide.append("") + + # General Q&A + general_lines: list[str] = [] + if "web_search" in tool_names: + general_lines.append("- Current events/recent info -> web_search") + memory_tools = by_cat.get("memory", []) + if memory_tools: + general_lines.append( + f"- Stored knowledge -> {', '.join(memory_tools)}" + ) + if general_lines: + guide.append("GENERAL Q&A / FACTUAL:") + guide.extend(general_lines) + guide.append("") + + return SYSTEM_PROMPT_TEMPLATE.format( + tools_description="\n".join(desc_lines), + tool_selection_guide="\n".join(guide), + ) + + +__all__ = [ + "TOOL_DESCRIPTIONS", + "build_system_prompt", +] diff --git a/src/openjarvis/learning/orchestrator/reward.py b/src/openjarvis/learning/orchestrator/reward.py new file mode 100644 index 00000000..7aa1ff4c --- /dev/null +++ b/src/openjarvis/learning/orchestrator/reward.py @@ -0,0 +1,225 @@ +"""Multi-objective reward function for orchestrator training. + +Adapted from IPW's ``reward.py``. Balances accuracy, cost, energy, +latency, and power into a single scalar reward used by both the SFT +grading pipeline and the GRPO policy gradient. +""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Dict, List + +from openjarvis.learning.orchestrator.types import Episode + + +@dataclass +class RewardWeights: + """Weights for multi-objective reward function. + + Each metric has its own coefficient: + - alpha: Accuracy (correctness of answer) + - beta_cost: API/cloud cost in USD + - beta_energy: Energy consumption in joules + - gamma_latency: Response time in seconds + - gamma_power: Peak power usage in watts + """ + + alpha: float = 0.4 + beta_cost: float = 0.15 + beta_energy: float = 0.15 + gamma_latency: float = 0.15 + gamma_power: float = 0.15 + + def __post_init__(self) -> None: + """Validate weights sum to 1.0.""" + total = ( + self.alpha + + self.beta_cost + + self.beta_energy + + self.gamma_latency + + self.gamma_power + ) + if abs(total - 1.0) > 0.01: + raise ValueError(f"Weights should sum to 1.0, got {total}") + + +@dataclass +class Normalizers: + """Normalization constants for reward scaling. + + These are typical values used to scale metrics to similar ranges. + Tune based on your specific tools and tasks. + """ + + energy_scale: float = 100.0 + cost_scale: float = 0.10 + latency_scale: float = 30.0 + power_scale: float = 200.0 + + +class MultiObjectiveReward: + """Multi-objective reward combining accuracy, cost, energy, latency, power. + + Formula:: + + reward = alpha * accuracy + - beta_cost * (cost / cost_scale) + - beta_energy * (energy / energy_scale) + - gamma_latency * (latency / latency_scale) + - gamma_power * (power / power_scale) + """ + + def __init__( + self, + weights: RewardWeights, + normalizers: Normalizers, + ) -> None: + self.weights = weights + self.normalizers = normalizers + + def compute(self, episode: Episode) -> float: + """Compute scalar reward for an episode.""" + accuracy_reward = 1.0 if episode.correct else 0.0 + + cost_penalty = episode.total_cost_usd / self.normalizers.cost_scale + energy_penalty = ( + episode.total_energy_joules / self.normalizers.energy_scale + ) + latency_penalty = ( + episode.total_latency_seconds / self.normalizers.latency_scale + ) + power_penalty = episode.max_power_watts / self.normalizers.power_scale + + return ( + self.weights.alpha * accuracy_reward + - self.weights.beta_cost * cost_penalty + - self.weights.beta_energy * energy_penalty + - self.weights.gamma_latency * latency_penalty + - self.weights.gamma_power * power_penalty + ) + + def compute_with_breakdown(self, episode: Episode) -> Dict[str, float]: + """Compute reward with detailed per-component breakdown.""" + accuracy_reward = 1.0 if episode.correct else 0.0 + + cost_penalty = episode.total_cost_usd / self.normalizers.cost_scale + energy_penalty = ( + episode.total_energy_joules / self.normalizers.energy_scale + ) + latency_penalty = ( + episode.total_latency_seconds / self.normalizers.latency_scale + ) + power_penalty = episode.max_power_watts / self.normalizers.power_scale + + accuracy_component = self.weights.alpha * accuracy_reward + cost_component = -self.weights.beta_cost * cost_penalty + energy_component = -self.weights.beta_energy * energy_penalty + latency_component = -self.weights.gamma_latency * latency_penalty + power_component = -self.weights.gamma_power * power_penalty + + total_reward = ( + accuracy_component + + cost_component + + energy_component + + latency_component + + power_component + ) + + ipj = episode.compute_ipj() + + return { + "total_reward": total_reward, + "accuracy_reward": accuracy_reward, + "accuracy_component": accuracy_component, + "cost_penalty": cost_penalty, + "cost_component": cost_component, + "energy_penalty": energy_penalty, + "energy_component": energy_component, + "latency_penalty": latency_penalty, + "latency_component": latency_component, + "power_penalty": power_penalty, + "power_component": power_component, + "ipj": ipj, + "total_energy_joules": episode.total_energy_joules, + "total_cost_usd": episode.total_cost_usd, + "total_latency_seconds": episode.total_latency_seconds, + } + + def compute_batch(self, episodes: List[Episode]) -> List[float]: + """Compute rewards for a batch of episodes.""" + return [self.compute(ep) for ep in episodes] + + +class AdaptiveRewardWeights: + """Adaptive reward weights that shift during training. + + Early training focuses on accuracy (higher alpha). + Late training optimises efficiency (higher cost/energy/power weights). + """ + + def __init__( + self, + initial_alpha: float = 0.6, + final_alpha: float = 0.3, + initial_beta_cost: float = 0.1, + final_beta_cost: float = 0.15, + initial_beta_energy: float = 0.1, + final_beta_energy: float = 0.2, + initial_gamma_latency: float = 0.1, + final_gamma_latency: float = 0.15, + initial_gamma_power: float = 0.1, + final_gamma_power: float = 0.2, + total_steps: int = 10000, + ) -> None: + self.initial_alpha = initial_alpha + self.final_alpha = final_alpha + self.initial_beta_cost = initial_beta_cost + self.final_beta_cost = final_beta_cost + self.initial_beta_energy = initial_beta_energy + self.final_beta_energy = final_beta_energy + self.initial_gamma_latency = initial_gamma_latency + self.final_gamma_latency = final_gamma_latency + self.initial_gamma_power = initial_gamma_power + self.final_gamma_power = final_gamma_power + self.total_steps = total_steps + + def get_weights(self, current_step: int) -> RewardWeights: + """Get weights for *current_step* via linear interpolation.""" + progress = min(1.0, current_step / self.total_steps) + + alpha = self.initial_alpha + (self.final_alpha - self.initial_alpha) * progress + beta_cost = ( + self.initial_beta_cost + + (self.final_beta_cost - self.initial_beta_cost) * progress + ) + beta_energy = ( + self.initial_beta_energy + + (self.final_beta_energy - self.initial_beta_energy) * progress + ) + gamma_latency = ( + self.initial_gamma_latency + + (self.final_gamma_latency - self.initial_gamma_latency) * progress + ) + gamma_power = ( + self.initial_gamma_power + + (self.final_gamma_power - self.initial_gamma_power) * progress + ) + + # Normalize to sum to 1.0 + total = alpha + beta_cost + beta_energy + gamma_latency + gamma_power + return RewardWeights( + alpha=alpha / total, + beta_cost=beta_cost / total, + beta_energy=beta_energy / total, + gamma_latency=gamma_latency / total, + gamma_power=gamma_power / total, + ) + + +__all__ = [ + "AdaptiveRewardWeights", + "MultiObjectiveReward", + "Normalizers", + "RewardWeights", +] diff --git a/src/openjarvis/learning/orchestrator/sft_trainer.py b/src/openjarvis/learning/orchestrator/sft_trainer.py new file mode 100644 index 00000000..89998f23 --- /dev/null +++ b/src/openjarvis/learning/orchestrator/sft_trainer.py @@ -0,0 +1,402 @@ +"""SFT (Supervised Fine-Tuning) trainer for orchestrator. + +Adapted from IPW's ``sft_trainer.py``. Trains the orchestrator policy +using supervised learning on trajectories. All ``torch``/``transformers`` +imports are guarded so the module can be imported without GPU dependencies. +""" + +from __future__ import annotations + +import json +from dataclasses import asdict, dataclass, field +from pathlib import Path +from typing import Any, Dict, Iterator, List + +# Optional imports ----------------------------------------------------------- +try: + import torch + import torch.nn.functional as F # noqa: F401 + from torch.utils.data import DataLoader + + HAS_TORCH = True +except ImportError: + HAS_TORCH = False + torch = None # type: ignore[assignment] + DataLoader = None # type: ignore[assignment,misc] + +from openjarvis.core.registry import LearningRegistry +from openjarvis.learning._stubs import AgentLearningPolicy + +# --------------------------------------------------------------------------- +# Config +# --------------------------------------------------------------------------- + + +@dataclass +class OrchestratorSFTConfig: + """Configuration for orchestrator SFT training.""" + + # Model + model_name: str = "Qwen/Qwen3-1.7B" + max_seq_length: int = 4096 + + # Training + num_epochs: int = 3 + batch_size: int = 8 + learning_rate: float = 2e-5 + weight_decay: float = 0.01 + warmup_ratio: float = 0.1 + max_grad_norm: float = 1.0 + + # Trace generation + teacher_engine_key: str = "" + teacher_model: str = "" + traces_per_query: int = 2 + max_attempts_per_trace: int = 3 + generation_temperature: float = 0.7 + + # Data source + trace_cache_path: str = "data/orchestrator_sft_traces.jsonl" + regenerate_traces: bool = False + + # Checkpoint + checkpoint_dir: str = "checkpoints/orchestrator_sft" + save_every_n_epochs: int = 1 + + # Logging + log_dir: str = "logs/orchestrator_sft" + log_every_n_steps: int = 10 + use_wandb: bool = False + + # Memory + gradient_checkpointing: bool = True + + # Available tools for structured prompt + available_tools: List[str] = field( + default_factory=lambda: [ + "calculator", + "think", + "code_interpreter", + "web_search", + ] + ) + + +# --------------------------------------------------------------------------- +# Dataset +# --------------------------------------------------------------------------- + + +class OrchestratorSFTDataset: + """Dataset for SFT training from generated trace JSONL files.""" + + def __init__( + self, + trace_path: str, + tokenizer: Any, + max_seq_length: int = 4096, + ) -> None: + self.tokenizer = tokenizer + self.max_seq_length = max_seq_length + self.traces: List[Dict[str, Any]] = [] + self._load_traces(trace_path) + + def _load_traces(self, trace_path: str) -> None: + path = Path(trace_path) + if not path.exists(): + return + with open(path) as f: + for line in f: + line = line.strip() + if line: + self.traces.append(json.loads(line)) + + def __len__(self) -> int: + return len(self.traces) + + def __getitem__(self, idx: int) -> Dict[str, Any]: + trace = self.traces[idx] + text = self._format_conversation(trace.get("conversations", [])) + + encoding = self.tokenizer( + text, + truncation=True, + max_length=self.max_seq_length, + padding="max_length", + return_tensors="pt", + ) + + return { + "input_ids": encoding["input_ids"].squeeze(0), + "attention_mask": encoding["attention_mask"].squeeze(0), + "labels": encoding["input_ids"].squeeze(0).clone(), + } + + def _format_conversation( + self, conversations: List[Dict[str, str]] + ) -> str: + """Format conversation turns into training text.""" + if hasattr(self.tokenizer, "apply_chat_template"): + try: + messages = [] + for turn in conversations: + role = turn.get("role") or turn.get("from", "") + content = turn.get("content") or turn.get("value", "") + + if role in ("human", "user"): + role = "user" + elif role in ("gpt", "assistant"): + role = "assistant" + elif role == "tool": + tool_name = turn.get("name", "tool") + content = ( + f"[Tool '{tool_name}' returned]: {content}" + ) + role = "user" + + if role in ("user", "assistant", "system"): + messages.append({"role": role, "content": content}) + + return self.tokenizer.apply_chat_template( + messages, tokenize=False, add_generation_prompt=False + ) + except Exception: + pass # fall through + + # Manual fallback + parts: list[str] = [] + for turn in conversations: + role = turn.get("role") or turn.get("from", "") + content = turn.get("content") or turn.get("value", "") + + if role in ("human", "user"): + parts.append(f"<|user|>\n{content}") + elif role in ("gpt", "assistant"): + parts.append(f"<|assistant|>\n{content}") + elif role == "system": + parts.append(f"<|system|>\n{content}") + elif role == "tool": + tool_name = turn.get("name", "tool") + parts.append( + f"<|user|>\n[Tool '{tool_name}' returned]: {content}" + ) + + eos = getattr(self.tokenizer, "eos_token", "") or "" + return "\n".join(parts) + eos + + def iter_batches( + self, batch_size: int + ) -> Iterator[List[Dict[str, Any]]]: + batch: list[Dict[str, Any]] = [] + for i in range(len(self)): + batch.append(self[i]) + if len(batch) == batch_size: + yield batch + batch = [] + if batch: + yield batch + + +# --------------------------------------------------------------------------- +# Trainer +# --------------------------------------------------------------------------- + + +class OrchestratorSFTTrainer: + """SFT trainer for orchestrator policy. + + Performs standard next-token cross-entropy loss on successful + trajectories. ``torch`` must be installed to call :meth:`train`. + """ + + def __init__(self, config: OrchestratorSFTConfig) -> None: + self.config = config + self.device = None + self.global_step = 0 + + if HAS_TORCH and torch is not None: + self.device = torch.device( + "cuda" if torch.cuda.is_available() else "cpu" + ) + + self._init_model() + self._init_data() + self._init_optimizer() + + def _init_model(self) -> None: + from openjarvis.learning.orchestrator.policy_model import ( + OrchestratorPolicyModel, + ) + + if not HAS_TORCH: + self.policy: Any = OrchestratorPolicyModel() + return + + device_str = str(self.device) if self.device else None + self.policy = OrchestratorPolicyModel.from_pretrained( + self.config.model_name, + gradient_checkpointing=self.config.gradient_checkpointing, + device=device_str, + ) + if self.policy.model is not None: + self.policy.model.train() + + def _init_data(self) -> None: + trace_path = Path(self.config.trace_cache_path) + + if self.config.regenerate_traces or not trace_path.exists(): + self._generate_traces() + + self.dataset = OrchestratorSFTDataset( + trace_path=str(trace_path), + tokenizer=self.policy.tokenizer, + max_seq_length=self.config.max_seq_length, + ) + + def _generate_traces(self) -> None: + """Generate SFT traces (placeholder — requires running engine).""" + trace_path = Path(self.config.trace_cache_path) + trace_path.parent.mkdir(parents=True, exist_ok=True) + if not trace_path.exists(): + trace_path.touch() + + def _init_optimizer(self) -> None: + if not HAS_TORCH or self.policy.model is None: + self.optimizer: Any = None + self.scheduler: Any = None + self.dataloader: Any = None + return + + self.optimizer = torch.optim.AdamW( + self.policy.model.parameters(), + lr=self.config.learning_rate, + weight_decay=self.config.weight_decay, + ) + + self.dataloader = DataLoader( + self.dataset, + batch_size=self.config.batch_size, + shuffle=True, + num_workers=0, + ) + + total_steps = len(self.dataloader) * self.config.num_epochs + warmup_steps = int(total_steps * self.config.warmup_ratio) + + def lr_lambda(step: int) -> float: + if step < warmup_steps: + return step / max(1, warmup_steps) + return max( + 0.0, + 1.0 - (step - warmup_steps) / (total_steps - warmup_steps), + ) + + self.scheduler = torch.optim.lr_scheduler.LambdaLR( + self.optimizer, lr_lambda + ) + + def train(self) -> None: + """Run the SFT training loop.""" + if not HAS_TORCH: + raise RuntimeError( + "PyTorch is required for training. " + "Install with: pip install torch transformers" + ) + + for epoch in range(self.config.num_epochs): + self._train_epoch(epoch) + + if (epoch + 1) % self.config.save_every_n_epochs == 0: + self._save_checkpoint(epoch) + + def _train_epoch(self, epoch: int) -> Dict[str, float]: + if self.policy.model is None or self.dataloader is None: + return {"epoch": epoch, "loss": 0.0} + + self.policy.model.train() + total_loss = 0.0 + num_batches = 0 + + for batch in self.dataloader: + loss = self._train_step(batch) + total_loss += loss + num_batches += 1 + self.global_step += 1 + + avg_loss = total_loss / num_batches if num_batches > 0 else 0.0 + return {"epoch": epoch, "loss": avg_loss} + + def _train_step(self, batch: Dict[str, Any]) -> float: + input_ids = batch["input_ids"].to(self.device) + attention_mask = batch["attention_mask"].to(self.device) + labels = batch["labels"].to(self.device) + + outputs = self.policy.model( + input_ids=input_ids, + attention_mask=attention_mask, + labels=labels, + ) + loss = outputs.loss + + self.optimizer.zero_grad() + loss.backward() + torch.nn.utils.clip_grad_norm_( + self.policy.model.parameters(), + self.config.max_grad_norm, + ) + self.optimizer.step() + self.scheduler.step() + + return loss.item() + + def _save_checkpoint(self, epoch: int) -> None: + checkpoint_dir = Path(self.config.checkpoint_dir) + checkpoint_dir.mkdir(parents=True, exist_ok=True) + + checkpoint_path = checkpoint_dir / f"epoch_{epoch + 1}" + if self.policy.model is not None: + self.policy.save(str(checkpoint_path)) + + state_path = checkpoint_path / "training_state.json" + state = { + "epoch": epoch, + "global_step": self.global_step, + "config": asdict(self.config), + } + with open(state_path, "w") as f: + json.dump(state, f, indent=2) + + +# --------------------------------------------------------------------------- +# Registry wrapper +# --------------------------------------------------------------------------- + + +def _ensure_registered() -> None: + if LearningRegistry.contains("orchestrator_sft"): + return + + @LearningRegistry.register("orchestrator_sft") + class OrchestratorSFTPolicy(AgentLearningPolicy): + """Wrapper that registers the SFT trainer as a learning policy.""" + + def update( + self, trace_store: Any, **kwargs: object + ) -> Dict[str, Any]: + config = OrchestratorSFTConfig(**{ + k: v for k, v in kwargs.items() + if k in OrchestratorSFTConfig.__dataclass_fields__ + }) + trainer = OrchestratorSFTTrainer(config) + trainer.train() + return {"status": "sft_training_complete"} + + +_ensure_registered() + + +__all__ = [ + "OrchestratorSFTConfig", + "OrchestratorSFTDataset", + "OrchestratorSFTTrainer", +] diff --git a/src/openjarvis/learning/orchestrator/types.py b/src/openjarvis/learning/orchestrator/types.py new file mode 100644 index 00000000..de664013 --- /dev/null +++ b/src/openjarvis/learning/orchestrator/types.py @@ -0,0 +1,338 @@ +"""Episode dataclasses for orchestrator training. + +Adapted from IPW's ``episode_builder.py``. These types represent the core +data structures for orchestrator RL/SFT training: actions, observations, +episode steps, and complete episodes with aggregate metrics. +""" + +from __future__ import annotations + +import re +from dataclasses import dataclass, field +from typing import Any, Dict, List, Optional, Tuple + +# --------------------------------------------------------------------------- +# Answer grading utilities +# --------------------------------------------------------------------------- + + +def normalize_number(s: str) -> Optional[float]: + """Try to parse a string as a number. + + Returns None if not a valid number. + """ + s = s.strip().lower() + s = re.sub(r"[,\s]", "", s) # Remove commas and spaces + s = re.sub(r"\.0+$", "", s) # Remove trailing .0 + + try: + return float(s) + except ValueError: + return None + + +def extract_answer(text: str) -> str: + """Extract the core answer from a potentially verbose response. + + Handles patterns like: + - "The answer is 4" + - "Result: 4.0" + - "4" (unchanged) + - "Therefore, the answer is approximately 4" + """ + text = text.strip() + + patterns = [ + r"(?:the\s+)?answer\s+is[:\s]+(.+?)(?:\.|$)", + r"result[:\s]+(.+?)(?:\.|$)", + r"=\s*(.+?)(?:\.|$)", + r"therefore[,\s]+(?:the\s+)?(?:answer\s+is\s+)?(.+?)(?:\.|$)", + ] + + for pattern in patterns: + match = re.search(pattern, text, re.IGNORECASE) + if match: + return match.group(1).strip() + + return text + + +def grade_answer( + predicted: str, expected: str, tolerance: float = 1e-6 +) -> bool: + """Grade an answer against expected, with smart matching. + + Handles: + - Exact string match (case-insensitive) + - Numeric comparison with tolerance + - Answer extraction from verbose responses + + Args: + predicted: The model's answer. + expected: Ground truth answer. + tolerance: Tolerance for numeric comparisons. + + Returns: + True if answer is correct. + """ + predicted = predicted.strip() + expected = expected.strip() + + # Exact match (case-insensitive) + if predicted.lower() == expected.lower(): + return True + + # Try extracting core answer + pred_extracted = extract_answer(predicted) + exp_extracted = extract_answer(expected) + + if pred_extracted.lower() == exp_extracted.lower(): + return True + + # Try numeric comparison + pred_num = normalize_number(pred_extracted) + exp_num = normalize_number(exp_extracted) + + if pred_num is not None and exp_num is not None: + if exp_num == 0: + return abs(pred_num) < tolerance + return abs(pred_num - exp_num) / abs(exp_num) < tolerance + + return False + + +# --------------------------------------------------------------------------- +# Core dataclasses +# --------------------------------------------------------------------------- + + +@dataclass +class OrchestratorAction: + """Orchestrator action: thought + tool selection + tool input.""" + + thought: str + """Reasoning about what to do next.""" + + tool_name: str + """Selected tool name (e.g., 'calculator', 'think').""" + + tool_input: str + """Input/prompt to send to the tool.""" + + is_final_answer: bool = False + """Whether this action provides the final answer.""" + + +@dataclass +class OrchestratorObservation: + """Result from executing an action, with flat telemetry fields.""" + + content: str + """Tool response content.""" + + latency_seconds: float = 0.0 + """Latency in seconds.""" + + cost_usd: float = 0.0 + """Cost in USD.""" + + energy_joules: float = 0.0 + """Energy consumed in joules.""" + + power_watts: float = 0.0 + """Power usage in watts.""" + + tokens: int = 0 + """Tokens consumed.""" + + +@dataclass +class EpisodeStep: + """Single step in an episode.""" + + turn: int + """Step number (0-indexed).""" + + action: OrchestratorAction + """Action taken.""" + + observation: OrchestratorObservation + """Result of action.""" + + +@dataclass +class Episode: + """Complete RL episode with aggregate metrics.""" + + task_id: str + """Unique task identifier.""" + + initial_prompt: str + """Initial question/task.""" + + steps: List[EpisodeStep] = field(default_factory=list) + """Sequence of (action, observation) pairs.""" + + final_answer: str = "" + """Final answer produced by orchestrator.""" + + ground_truth: str = "" + """Ground truth answer.""" + + correct: bool = False + """Whether final answer matches ground truth.""" + + # Aggregate metrics + total_energy_joules: float = 0.0 + total_cost_usd: float = 0.0 + total_latency_seconds: float = 0.0 + total_tokens: int = 0 + max_power_watts: float = 0.0 + + metadata: Dict[str, Any] = field(default_factory=dict) + + def add_step( + self, action: OrchestratorAction, observation: OrchestratorObservation + ) -> None: + """Add a step to the episode and update aggregate metrics.""" + step = EpisodeStep( + turn=len(self.steps), + action=action, + observation=observation, + ) + self.steps.append(step) + + self.total_energy_joules += observation.energy_joules + self.total_latency_seconds += observation.latency_seconds + self.total_cost_usd += observation.cost_usd + self.total_tokens += observation.tokens + self.max_power_watts = max(self.max_power_watts, observation.power_watts) + + if action.is_final_answer: + self.final_answer = observation.content + + def num_turns(self) -> int: + """Return number of turns in episode.""" + return len(self.steps) + + def compute_ipj(self) -> float: + """Compute Intelligence Per Joule (IPJ). + + Returns: + IPJ score (higher is better). 0.0 if energy is zero or + the answer is incorrect. + """ + if self.total_energy_joules <= 0: + return 0.0 + accuracy_score = 1.0 if self.correct else 0.0 + return accuracy_score / self.total_energy_joules + + def to_dict(self) -> Dict[str, Any]: + """Convert episode to dictionary for serialization.""" + return { + "task_id": self.task_id, + "initial_prompt": self.initial_prompt, + "steps": [ + { + "turn": step.turn, + "thought": step.action.thought, + "tool": step.action.tool_name, + "tool_input": step.action.tool_input, + "observation": step.observation.content[:200], + "energy_joules": step.observation.energy_joules, + "latency_seconds": step.observation.latency_seconds, + "cost_usd": step.observation.cost_usd, + } + for step in self.steps + ], + "final_answer": self.final_answer, + "ground_truth": self.ground_truth, + "correct": self.correct, + "total_energy_joules": self.total_energy_joules, + "total_latency_seconds": self.total_latency_seconds, + "total_cost_usd": self.total_cost_usd, + "total_tokens": self.total_tokens, + "num_turns": self.num_turns(), + "ipj": self.compute_ipj(), + } + + +@dataclass +class EpisodeState: + """Mutable state during episode execution.""" + + initial_prompt: str + """Initial task/question.""" + + history: List[Tuple[OrchestratorAction, OrchestratorObservation]] = field( + default_factory=list + ) + """History of (action, observation) pairs.""" + + final_answer: Optional[str] = None + """Final answer (set when is_final_answer action is taken).""" + + def add_turn( + self, + action: OrchestratorAction, + observation: OrchestratorObservation, + ) -> None: + """Add a turn to the episode history.""" + self.history.append((action, observation)) + if action.is_final_answer: + self.final_answer = observation.content + + def num_turns(self) -> int: + """Return number of turns so far.""" + return len(self.history) + + def to_episode( + self, task_id: str, ground_truth: str, correct: bool + ) -> Episode: + """Convert state to Episode for reward computation.""" + episode = Episode( + task_id=task_id, + initial_prompt=self.initial_prompt, + ground_truth=ground_truth, + final_answer=self.final_answer or "", + correct=correct, + ) + for action, observation in self.history: + episode.add_step(action, observation) + return episode + + +@dataclass +class PolicyOutput: + """Output from policy model prediction.""" + + thought: str + """Reasoning about what to do.""" + + tool_name: str + """Selected tool.""" + + tool_input: str + """Input for the tool.""" + + is_final_answer: bool = False + """Whether this provides the final answer.""" + + raw_text: str = "" + """Raw model output.""" + + confidence: float = 1.0 + """Confidence score (if available).""" + + +__all__ = [ + "Episode", + "EpisodeState", + "EpisodeStep", + "OrchestratorAction", + "OrchestratorObservation", + "PolicyOutput", + "extract_answer", + "grade_answer", + "normalize_number", +] diff --git a/src/openjarvis/learning/sft_policy.py b/src/openjarvis/learning/sft_policy.py index 71f5abd5..83e91c6a 100644 --- a/src/openjarvis/learning/sft_policy.py +++ b/src/openjarvis/learning/sft_policy.py @@ -1,4 +1,9 @@ -"""SFT on traces — learns which model handles which query type best.""" +"""SFT router — learns which model handles which query type best. + +Analyses historical traces and builds a ``query_class → model`` routing +table. Despite the "SFT" name, no model weights are fine-tuned — this +is a *trace-driven routing* policy. +""" from __future__ import annotations @@ -9,11 +14,13 @@ from openjarvis.learning._stubs import IntelligenceLearningPolicy @LearningRegistry.register("sft") -class SFTPolicy(IntelligenceLearningPolicy): - """SFT on traces: learns which model handles which query type best. +class SFTRouterPolicy(IntelligenceLearningPolicy): + """Trace-driven router that learns query_class → model mappings. - Reads successful traces, groups by query class, and produces an - updated query_class -> model mapping. + Reads historical traces, groups by query class (code, math, short, + long, general), scores each model via a composite metric (60% + outcome + 40% feedback), and produces a routing table that maps + query classes to their best-performing model. """ def __init__(self, *, min_samples: int = 5) -> None: @@ -84,4 +91,7 @@ class SFTPolicy(IntelligenceLearningPolicy): return dict(self._policy_map) -__all__ = ["SFTPolicy"] +__all__ = ["SFTRouterPolicy"] + +# Backward-compat alias +SFTPolicy = SFTRouterPolicy diff --git a/src/openjarvis/mcp/server.py b/src/openjarvis/mcp/server.py index b1803b77..fceae79e 100644 --- a/src/openjarvis/mcp/server.py +++ b/src/openjarvis/mcp/server.py @@ -27,6 +27,10 @@ _TOOL_ANNOTATIONS: Dict[str, Dict[str, Any]] = { "file_read": {"readOnlyHint": True, "destructiveHint": False}, "web_search": {"readOnlyHint": True, "destructiveHint": False}, "code_interpreter": {"destructiveHint": True, "readOnlyHint": False}, + "repl": {"destructiveHint": True, "readOnlyHint": False}, + "channel_send": {"destructiveHint": True, "readOnlyHint": False}, + "channel_list": {"readOnlyHint": True, "destructiveHint": False}, + "channel_status": {"readOnlyHint": True, "destructiveHint": False}, } @@ -86,6 +90,11 @@ class MCPServer: _tool_classes.append(CodeInterpreterTool) except ImportError: pass + try: + from openjarvis.tools.repl import ReplTool + _tool_classes.append(ReplTool) + except ImportError: + pass # Storage MCP tools try: @@ -102,6 +111,19 @@ class MCPServer: except ImportError: pass + # Channel MCP tools + try: + from openjarvis.tools.channel_tools import ( + ChannelListTool, + ChannelSendTool, + ChannelStatusTool, + ) + _tool_classes.extend([ + ChannelSendTool, ChannelListTool, ChannelStatusTool, + ]) + except ImportError: + pass + # LM tool (needs engine/model — instantiate with None) try: from openjarvis.tools.llm_tool import LLMTool diff --git a/src/openjarvis/server/app.py b/src/openjarvis/server/app.py index 66dff534..eef370b3 100644 --- a/src/openjarvis/server/app.py +++ b/src/openjarvis/server/app.py @@ -26,7 +26,6 @@ class _NoCacheStaticFiles(StaticFiles): async def __call__(self, scope, receive, send): async def _send_with_headers(message): if message["type"] == "http.response.start": - headers = dict(message.get("headers", [])) extra = [ (k.encode(), v.encode()) for k, v in _NO_CACHE_HEADERS.items() ] diff --git a/src/openjarvis/system.py b/src/openjarvis/system.py index 0a2d55bd..d43c0d61 100644 --- a/src/openjarvis/system.py +++ b/src/openjarvis/system.py @@ -26,6 +26,7 @@ class JarvisSystem: tools: List[BaseTool] = field(default_factory=list) tool_executor: Optional[ToolExecutor] = None memory_backend: Optional[Any] = None # MemoryBackend + channel_backend: Optional[Any] = None # BaseChannel router: Optional[Any] = None # RouterPolicy mcp_server: Optional[Any] = None # MCPServer telemetry_store: Optional[Any] = None @@ -119,6 +120,9 @@ class JarvisSystem: if agent_name == "orchestrator": agent_kwargs["tools"] = agent_tools agent_kwargs["max_turns"] = self.config.agent.max_turns + elif agent_name == "rlm": + agent_kwargs["tools"] = agent_tools + agent_kwargs["max_turns"] = self.config.agent.max_turns try: ag = agent_cls(self.engine, self.model, **agent_kwargs) @@ -263,8 +267,13 @@ class SystemBuilder: # Resolve memory backend memory_backend = self._resolve_memory(config) + # Resolve channel backend + channel_backend = self._resolve_channel(config, bus) + # Resolve tools - tool_list = self._resolve_tools(config, engine, model, memory_backend) + tool_list = self._resolve_tools( + config, engine, model, memory_backend, channel_backend, + ) # Build tool executor tool_executor = ToolExecutor(tool_list, bus) if tool_list else None @@ -282,6 +291,7 @@ class SystemBuilder: tools=tool_list, tool_executor=tool_executor, memory_backend=memory_backend, + channel_backend=channel_backend, telemetry_store=telemetry_store, ) @@ -369,7 +379,125 @@ class SystemBuilder: pass return None - def _resolve_tools(self, config, engine, model, memory_backend): + def _resolve_channel(self, config, bus): + """Resolve channel backend from config.""" + if not config.channel.enabled: + return None + try: + import openjarvis.channels # noqa: F401 -- trigger registration + from openjarvis.core.registry import ChannelRegistry + + key = config.channel.default_channel + if not key: + return None + if not ChannelRegistry.contains(key): + return None + + kwargs: Dict[str, Any] = {"bus": bus} + if key == "telegram": + tc = config.channel.telegram + if tc.bot_token: + kwargs["bot_token"] = tc.bot_token + if tc.parse_mode: + kwargs["parse_mode"] = tc.parse_mode + elif key == "discord": + dc = config.channel.discord + if dc.bot_token: + kwargs["bot_token"] = dc.bot_token + elif key == "slack": + sc = config.channel.slack + if sc.bot_token: + kwargs["bot_token"] = sc.bot_token + if sc.app_token: + kwargs["app_token"] = sc.app_token + elif key == "webhook": + wc = config.channel.webhook + if wc.url: + kwargs["url"] = wc.url + if wc.secret: + kwargs["secret"] = wc.secret + if wc.method: + kwargs["method"] = wc.method + elif key == "email": + ec = config.channel.email + if ec.smtp_host: + kwargs["smtp_host"] = ec.smtp_host + kwargs["smtp_port"] = ec.smtp_port + if ec.imap_host: + kwargs["imap_host"] = ec.imap_host + kwargs["imap_port"] = ec.imap_port + if ec.username: + kwargs["username"] = ec.username + if ec.password: + kwargs["password"] = ec.password + kwargs["use_tls"] = ec.use_tls + elif key == "whatsapp": + wac = config.channel.whatsapp + if wac.access_token: + kwargs["access_token"] = wac.access_token + if wac.phone_number_id: + kwargs["phone_number_id"] = wac.phone_number_id + elif key == "signal": + sgc = config.channel.signal + if sgc.api_url: + kwargs["api_url"] = sgc.api_url + if sgc.phone_number: + kwargs["phone_number"] = sgc.phone_number + elif key == "google_chat": + gcc = config.channel.google_chat + if gcc.webhook_url: + kwargs["webhook_url"] = gcc.webhook_url + elif key == "irc": + ic = config.channel.irc + if ic.server: + kwargs["server"] = ic.server + kwargs["port"] = ic.port + if ic.nick: + kwargs["nick"] = ic.nick + if ic.password: + kwargs["password"] = ic.password + kwargs["use_tls"] = ic.use_tls + elif key == "webchat": + pass # no config needed + elif key == "teams": + tmc = config.channel.teams + if tmc.app_id: + kwargs["app_id"] = tmc.app_id + if tmc.app_password: + kwargs["app_password"] = tmc.app_password + if tmc.service_url: + kwargs["service_url"] = tmc.service_url + elif key == "matrix": + mc = config.channel.matrix + if mc.homeserver: + kwargs["homeserver"] = mc.homeserver + if mc.access_token: + kwargs["access_token"] = mc.access_token + elif key == "mattermost": + mmc = config.channel.mattermost + if mmc.url: + kwargs["url"] = mmc.url + if mmc.token: + kwargs["token"] = mmc.token + elif key == "feishu": + fc = config.channel.feishu + if fc.app_id: + kwargs["app_id"] = fc.app_id + if fc.app_secret: + kwargs["app_secret"] = fc.app_secret + elif key == "bluebubbles": + bbc = config.channel.bluebubbles + if bbc.url: + kwargs["url"] = bbc.url + if bbc.password: + kwargs["password"] = bbc.password + + return ChannelRegistry.create(key, **kwargs) + except Exception: + return None + + def _resolve_tools(self, config, engine, model, memory_backend, + channel_backend=None): """Resolve tool instances.""" tool_names_str = self._tool_names if tool_names_str is None: @@ -403,6 +531,17 @@ class SystemBuilder: if ToolRegistry.contains(name): tool = ToolRegistry.create(name, backend=memory_backend) tools.append(tool) + elif name in ( + "channel_send", + "channel_list", + "channel_status", + ): + import openjarvis.tools.channel_tools # noqa: F401 + from openjarvis.core.registry import ToolRegistry + + if ToolRegistry.contains(name): + tool = ToolRegistry.create(name, channel=channel_backend) + tools.append(tool) else: from openjarvis.core.registry import ToolRegistry diff --git a/src/openjarvis/tools/__init__.py b/src/openjarvis/tools/__init__.py index 83843046..dfa4475d 100644 --- a/src/openjarvis/tools/__init__.py +++ b/src/openjarvis/tools/__init__.py @@ -42,6 +42,11 @@ try: except ImportError: pass +try: + import openjarvis.tools.repl # noqa: F401 +except ImportError: + pass + try: import openjarvis.tools.storage_tools # noqa: F401 except ImportError: @@ -52,4 +57,9 @@ try: except ImportError: pass +try: + import openjarvis.tools.channel_tools # noqa: F401 +except ImportError: + pass + __all__ = ["BaseTool", "ToolExecutor", "ToolSpec"] diff --git a/src/openjarvis/tools/channel_tools.py b/src/openjarvis/tools/channel_tools.py new file mode 100644 index 00000000..aeb79b4c --- /dev/null +++ b/src/openjarvis/tools/channel_tools.py @@ -0,0 +1,188 @@ +"""Channel MCP tools — expose channel operations as BaseTool instances. + +These tools wrap the ``BaseChannel`` ABC so that channel operations +(send, list, status) are discoverable and callable via MCP. +""" + +from __future__ import annotations + +from typing import Any + +from openjarvis.channels._stubs import BaseChannel +from openjarvis.core.registry import ToolRegistry +from openjarvis.core.types import ToolResult +from openjarvis.tools._stubs import BaseTool, ToolSpec + + +@ToolRegistry.register("channel_send") +class ChannelSendTool(BaseTool): + """MCP-exposed tool: send a message via a channel backend.""" + + tool_id = "channel_send" + + def __init__(self, channel: BaseChannel | None = None) -> None: + self._channel = channel + + @property + def spec(self) -> ToolSpec: + return ToolSpec( + name="channel_send", + description="Send a message to a channel (Telegram, Discord, Slack, etc.).", + parameters={ + "type": "object", + "properties": { + "channel": { + "type": "string", + "description": "Target chat/channel ID to send to.", + }, + "content": { + "type": "string", + "description": "The message content to send.", + }, + "conversation_id": { + "type": "string", + "description": "Optional conversation/thread ID for replies.", + }, + }, + "required": ["channel", "content"], + }, + category="channel", + ) + + def execute(self, **params: Any) -> ToolResult: + if self._channel is None: + return ToolResult( + tool_name="channel_send", + content="No channel backend configured.", + success=False, + ) + target = params.get("channel", "") + content = params.get("content", "") + if not target or not content: + return ToolResult( + tool_name="channel_send", + content="Both 'channel' and 'content' are required.", + success=False, + ) + try: + ok = self._channel.send( + target, + content, + conversation_id=params.get("conversation_id", ""), + ) + if ok: + return ToolResult( + tool_name="channel_send", + content=f"Message sent to {target}", + success=True, + ) + return ToolResult( + tool_name="channel_send", + content=f"Failed to send message to {target}", + success=False, + ) + except Exception as exc: + return ToolResult( + tool_name="channel_send", + content=f"Send error: {exc}", + success=False, + ) + + +@ToolRegistry.register("channel_list") +class ChannelListTool(BaseTool): + """MCP-exposed tool: list available channels.""" + + tool_id = "channel_list" + + def __init__(self, channel: BaseChannel | None = None) -> None: + self._channel = channel + + @property + def spec(self) -> ToolSpec: + return ToolSpec( + name="channel_list", + description="List available messaging channels.", + parameters={ + "type": "object", + "properties": {}, + }, + category="channel", + ) + + def execute(self, **params: Any) -> ToolResult: + if self._channel is None: + return ToolResult( + tool_name="channel_list", + content="No channel backend configured.", + success=False, + ) + try: + channels = self._channel.list_channels() + if not channels: + return ToolResult( + tool_name="channel_list", + content="No channels available.", + success=True, + ) + return ToolResult( + tool_name="channel_list", + content="\n".join(channels), + success=True, + ) + except Exception as exc: + return ToolResult( + tool_name="channel_list", + content=f"List error: {exc}", + success=False, + ) + + +@ToolRegistry.register("channel_status") +class ChannelStatusTool(BaseTool): + """MCP-exposed tool: check channel connection status.""" + + tool_id = "channel_status" + + def __init__(self, channel: BaseChannel | None = None) -> None: + self._channel = channel + + @property + def spec(self) -> ToolSpec: + return ToolSpec( + name="channel_status", + description="Check the connection status of the messaging channel.", + parameters={ + "type": "object", + "properties": {}, + }, + category="channel", + ) + + def execute(self, **params: Any) -> ToolResult: + if self._channel is None: + return ToolResult( + tool_name="channel_status", + content="No channel backend configured.", + success=False, + ) + try: + st = self._channel.status() + return ToolResult( + tool_name="channel_status", + content=f"Channel status: {st.value}", + success=True, + ) + except Exception as exc: + return ToolResult( + tool_name="channel_status", + content=f"Status error: {exc}", + success=False, + ) + + +__all__ = [ + "ChannelListTool", + "ChannelSendTool", + "ChannelStatusTool", +] diff --git a/src/openjarvis/tools/repl.py b/src/openjarvis/tools/repl.py new file mode 100644 index 00000000..f891c56b --- /dev/null +++ b/src/openjarvis/tools/repl.py @@ -0,0 +1,303 @@ +"""Persistent Python REPL tool — maintains state across calls within a session. + +Unlike ``CodeInterpreterTool`` (which runs each snippet in a fresh subprocess), +this tool keeps variables, functions, and imports alive across invocations +within the same session. +""" + +from __future__ import annotations + +import io +import threading +import time +import uuid +from contextlib import redirect_stderr, redirect_stdout +from dataclasses import dataclass, field +from typing import Any, Dict, Optional + +from openjarvis.core.registry import ToolRegistry +from openjarvis.core.types import ToolResult +from openjarvis.tools._stubs import BaseTool, ToolSpec + +# --------------------------------------------------------------------------- +# Security +# --------------------------------------------------------------------------- + +# Layer 1: Pattern blocklist +_BLOCKED_PATTERNS = [ + "os.system", + "os.popen", + "subprocess", + "shutil.rmtree", + "__import__", + "open(", + "ctypes", + "socket", + "http.client", + "urllib", +] + +# Layer 2: Restricted builtins — remove dangerous ones +_REMOVED_BUILTINS = { + "open", "exec", "eval", "compile", "__import__", + "breakpoint", "exit", "quit", "input", +} + +# Layer 3: Safe import allowlist +_SAFE_IMPORT_MODULES = frozenset({ + "math", "cmath", "decimal", "fractions", "random", "statistics", + "itertools", "functools", "operator", "collections", "string", + "re", "textwrap", "datetime", "time", "calendar", + "json", "csv", "copy", "dataclasses", "enum", "typing", + "heapq", "bisect", "array", "pprint", "abc", "numbers", +}) + + +def _make_safe_import(allowed: frozenset = _SAFE_IMPORT_MODULES): + """Return a custom __import__ that only allows safe modules.""" + if isinstance(__builtins__, dict): + real_import = __builtins__["__import__"] + else: + real_import = __builtins__.__import__ # type: ignore[union-attr] + + def _safe_import(name: str, *args: Any, **kwargs: Any) -> Any: + top_level = name.split(".")[0] + if top_level not in allowed: + raise ImportError( + f"Import of '{name}' is not allowed. " + f"Allowed modules: {', '.join(sorted(allowed))}" + ) + return real_import(name, *args, **kwargs) + + return _safe_import + + +def _make_restricted_builtins() -> Dict[str, Any]: + """Build a builtins dict with dangerous functions removed.""" + import builtins + + safe = {k: v for k, v in vars(builtins).items() if k not in _REMOVED_BUILTINS} + safe["__import__"] = _make_safe_import() + return safe + + +# --------------------------------------------------------------------------- +# Session +# --------------------------------------------------------------------------- + + +@dataclass +class _ReplSession: + session_id: str + namespace: Dict[str, Any] = field(default_factory=dict) + created_at: float = field(default_factory=time.time) + last_used: float = field(default_factory=time.time) + execution_count: int = 0 + + +# --------------------------------------------------------------------------- +# REPL Tool +# --------------------------------------------------------------------------- + + +@ToolRegistry.register("repl") +class ReplTool(BaseTool): + """Persistent Python REPL with session management. + + Parameters + ---------- + timeout: + Maximum execution time in seconds per call. + max_output: + Maximum characters of captured output. + max_sessions: + Maximum concurrent sessions (LRU eviction). + """ + + tool_id = "repl" + + def __init__( + self, + timeout: int = 30, + max_output: int = 10000, + max_sessions: int = 16, + ) -> None: + self._timeout = timeout + self._max_output = max_output + self._max_sessions = max_sessions + self._sessions: Dict[str, _ReplSession] = {} + self._lock = threading.Lock() + + @property + def spec(self) -> ToolSpec: + return ToolSpec( + name="repl", + description=( + "Execute Python code in a persistent REPL session. " + "Variables, functions, and imports persist across calls " + "within the same session." + ), + parameters={ + "type": "object", + "properties": { + "code": { + "type": "string", + "description": "Python code to execute.", + }, + "session_id": { + "type": "string", + "description": ( + "Session ID for state persistence. " + "Omit to auto-create a new session." + ), + }, + "reset": { + "type": "boolean", + "description": "Reset the session state before execution.", + }, + }, + "required": ["code"], + }, + category="code", + ) + + def execute(self, **params: Any) -> ToolResult: + code = params.get("code", "") + session_id = params.get("session_id") + reset = params.get("reset", False) + + if not code or not code.strip(): + return ToolResult( + tool_name="repl", + content="No code provided.", + success=False, + ) + + # Security pattern check + for pattern in _BLOCKED_PATTERNS: + if pattern in code: + return ToolResult( + tool_name="repl", + content=f"Blocked: code contains prohibited pattern '{pattern}'", + success=False, + ) + + # Resolve session + session = self._resolve_session(session_id, reset) + + # Execute with timeout + output, success = self._exec_with_timeout(code, session) + + # Update session metadata + session.last_used = time.time() + session.execution_count += 1 + + # Truncate output + if len(output) > self._max_output: + output = output[: self._max_output] + "\n... (output truncated)" + + return ToolResult( + tool_name="repl", + content=output or "(no output)", + success=success, + metadata={ + "session_id": session.session_id, + "execution_count": session.execution_count, + }, + ) + + # ------------------------------------------------------------------ + # Session management + # ------------------------------------------------------------------ + + def _resolve_session( + self, + session_id: Optional[str], + reset: bool = False, + ) -> _ReplSession: + """Get or create a session, with LRU eviction at max_sessions.""" + with self._lock: + if session_id and session_id in self._sessions and not reset: + session = self._sessions[session_id] + return session + + if session_id and session_id in self._sessions and reset: + # Reset existing session + session = self._sessions[session_id] + session.namespace = {"__builtins__": _make_restricted_builtins()} + session.execution_count = 0 + return session + + # Create new session + sid = session_id or str(uuid.uuid4()) + + # LRU eviction if at capacity + if len(self._sessions) >= self._max_sessions: + oldest_id = min( + self._sessions, + key=lambda k: self._sessions[k].last_used, + ) + del self._sessions[oldest_id] + + session = _ReplSession( + session_id=sid, + namespace={"__builtins__": _make_restricted_builtins()}, + ) + self._sessions[sid] = session + return session + + # ------------------------------------------------------------------ + # Execution + # ------------------------------------------------------------------ + + def _exec_with_timeout( + self, + code: str, + session: _ReplSession, + ) -> tuple[str, bool]: + """Execute code in a daemon thread with timeout. + + Returns (output, success). + """ + result_holder: Dict[str, Any] = {"output": "", "success": True} + + def _run() -> None: + stdout_buf = io.StringIO() + stderr_buf = io.StringIO() + try: + with redirect_stdout(stdout_buf), redirect_stderr(stderr_buf): + # Try eval first for expression display (REPL-like behavior) + try: + compiled = compile(code, "", "eval") + val = eval(compiled, session.namespace) # noqa: S307 + if val is not None: + print(repr(val)) # noqa: T201 + except SyntaxError: + # Not an expression — execute as statements + compiled = compile(code, "", "exec") + exec(compiled, session.namespace) # noqa: S102 + except Exception as exc: + result_holder["output"] = f"{type(exc).__name__}: {exc}" + result_holder["success"] = False + return + + output = stdout_buf.getvalue() + err = stderr_buf.getvalue() + if err: + output += ("\n" if output else "") + err + result_holder["output"] = output + + thread = threading.Thread(target=_run, daemon=True) + thread.start() + thread.join(timeout=self._timeout) + + if thread.is_alive(): + return ( + f"Execution timed out after {self._timeout} seconds.", + False, + ) + + return result_holder["output"], result_holder["success"] + + +__all__ = ["ReplTool"] diff --git a/tests/agents/test_openclaw.py b/tests/agents/test_openclaw.py deleted file mode 100644 index cdcf6774..00000000 --- a/tests/agents/test_openclaw.py +++ /dev/null @@ -1,152 +0,0 @@ -"""Tests for the OpenClawAgent.""" - -from __future__ import annotations - -import pytest - -from openjarvis.agents._stubs import AgentResult -from openjarvis.agents.openclaw import OpenClawAgent -from openjarvis.agents.openclaw_protocol import MessageType, ProtocolMessage -from openjarvis.agents.openclaw_transport import OpenClawTransport -from openjarvis.core.events import EventBus, EventType -from openjarvis.core.registry import AgentRegistry - - -@pytest.fixture(autouse=True) -def _register_openclaw(): - """Re-register openclaw agent after registry clear.""" - if not AgentRegistry.contains("openclaw"): - AgentRegistry.register_value("openclaw", OpenClawAgent) - - -class MockTransport(OpenClawTransport): - """Mock transport for testing.""" - - def __init__(self, responses=None, healthy=True): - self._responses = list(responses or []) - self._idx = 0 - self._healthy = healthy - - def send(self, msg): - if self._idx < len(self._responses): - resp = self._responses[self._idx] - self._idx += 1 - return resp - return ProtocolMessage(type=MessageType.RESPONSE, content="default") - - def health(self): - return self._healthy - - def close(self): - pass - - -class TestOpenClawAgent: - def test_agent_id(self): - transport = MockTransport() - agent = OpenClawAgent(transport=transport) - assert agent.agent_id == "openclaw" - - def test_registration(self): - assert AgentRegistry.contains("openclaw") - assert AgentRegistry.get("openclaw") is OpenClawAgent - - def test_run_with_mock_transport(self): - responses = [ - ProtocolMessage(type=MessageType.RESPONSE, content="Hello from OpenClaw"), - ] - transport = MockTransport(responses) - agent = OpenClawAgent(transport=transport) - result = agent.run("Hello") - assert isinstance(result, AgentResult) - assert result.content == "Hello from OpenClaw" - assert result.turns == 1 - - def test_returns_agent_result(self): - transport = MockTransport([ - ProtocolMessage(type=MessageType.RESPONSE, content="test"), - ]) - agent = OpenClawAgent(transport=transport) - result = agent.run("test") - assert isinstance(result, AgentResult) - - def test_handles_tool_calls(self): - responses = [ - ProtocolMessage( - type=MessageType.TOOL_CALL, - tool_name="calculator", - tool_args={"expression": "2+2"}, - ), - ProtocolMessage(type=MessageType.RESPONSE, content="The answer is 4"), - ] - transport = MockTransport(responses) - agent = OpenClawAgent(transport=transport) - result = agent.run("What is 2+2?") - assert result.content == "The answer is 4" - assert result.turns == 2 - assert len(result.tool_results) == 1 - - def test_transport_unhealthy_raises(self): - transport = MockTransport(healthy=False) - agent = OpenClawAgent(transport=transport) - with pytest.raises(RuntimeError, match="not healthy"): - agent.run("Hello") - - def test_mode_http(self): - agent = OpenClawAgent(mode="http") - from openjarvis.agents.openclaw_transport import HttpTransport - - assert isinstance(agent._transport, HttpTransport) - - def test_mode_subprocess(self): - agent = OpenClawAgent(mode="subprocess") - from openjarvis.agents.openclaw_transport import SubprocessTransport - - assert isinstance(agent._transport, SubprocessTransport) - - def test_mode_invalid(self): - with pytest.raises(ValueError, match="Unknown OpenClaw mode"): - OpenClawAgent(mode="invalid") - - def test_event_bus_events(self): - responses = [ - ProtocolMessage(type=MessageType.RESPONSE, content="test"), - ] - transport = MockTransport(responses) - bus = EventBus(record_history=True) - agent = OpenClawAgent(transport=transport, bus=bus) - agent.run("Hello") - - event_types = [e.event_type for e in bus.history] - assert EventType.AGENT_TURN_START in event_types - assert EventType.AGENT_TURN_END in event_types - - def test_custom_transport_injection(self): - mock = MockTransport([ - ProtocolMessage(type=MessageType.RESPONSE, content="injected"), - ]) - agent = OpenClawAgent(transport=mock) - result = agent.run("test") - assert result.content == "injected" - - def test_run_with_context(self): - from openjarvis.agents._stubs import AgentContext - from openjarvis.core.types import Conversation, Message, Role - - transport = MockTransport([ - ProtocolMessage(type=MessageType.RESPONSE, content="contextualized"), - ]) - agent = OpenClawAgent(transport=transport) - conv = Conversation() - conv.add(Message(role=Role.SYSTEM, content="Be helpful")) - ctx = AgentContext(conversation=conv) - result = agent.run("Hello", context=ctx) - assert result.content == "contextualized" - - def test_error_response(self): - transport = MockTransport([ - ProtocolMessage(type=MessageType.ERROR, error="Something failed"), - ]) - agent = OpenClawAgent(transport=transport) - result = agent.run("Hello") - assert result.content == "Something failed" diff --git a/tests/agents/test_openclaw_plugin.py b/tests/agents/test_openclaw_plugin.py deleted file mode 100644 index beb36aee..00000000 --- a/tests/agents/test_openclaw_plugin.py +++ /dev/null @@ -1,79 +0,0 @@ -"""Tests for the OpenClaw plugin skeleton.""" - -from __future__ import annotations - -from unittest.mock import MagicMock - -from openjarvis.agents.openclaw_plugin import ( - MemorySearchManager, - ProviderPlugin, - register, -) - - -class TestRegister: - def test_register_returns_dict(self): - result = register() - assert isinstance(result, dict) - assert result["name"] == "openjarvis" - assert "provider_class" in result - assert "memory_class" in result - - -class TestProviderPlugin: - def test_has_generate(self): - assert hasattr(ProviderPlugin, "generate") - - def test_has_list_models(self): - assert hasattr(ProviderPlugin, "list_models") - - def test_generate_with_engine(self): - engine = MagicMock() - engine.generate.return_value = {"content": "test"} - plugin = ProviderPlugin(engine=engine, model="test-model") - result = plugin.generate("Hello") - assert result["content"] == "test" - - def test_list_models_with_engine(self): - engine = MagicMock() - engine.list_models.return_value = ["model-1", "model-2"] - plugin = ProviderPlugin(engine=engine) - assert plugin.list_models() == ["model-1", "model-2"] - - -class TestMemorySearchManager: - def test_has_search(self): - assert hasattr(MemorySearchManager, "search") - - def test_has_sync(self): - assert hasattr(MemorySearchManager, "sync") - - def test_has_status(self): - assert hasattr(MemorySearchManager, "status") - - def test_search_with_backend(self): - backend = MagicMock() - mock_result = MagicMock() - mock_result.content = "found" - mock_result.score = 0.9 - mock_result.source = "test.txt" - backend.retrieve.return_value = [mock_result] - - mgr = MemorySearchManager(backend=backend) - results = mgr.search("test query") - assert len(results) == 1 - assert results[0]["content"] == "found" - - def test_search_no_backend(self): - mgr = MemorySearchManager() - results = mgr.search("test") - assert results == [] - - def test_status_no_backend(self): - mgr = MemorySearchManager() - assert mgr.status()["available"] is False - - def test_sync(self): - mgr = MemorySearchManager() - result = mgr.sync() - assert result["status"] == "ok" diff --git a/tests/agents/test_openclaw_protocol.py b/tests/agents/test_openclaw_protocol.py deleted file mode 100644 index 871a2d22..00000000 --- a/tests/agents/test_openclaw_protocol.py +++ /dev/null @@ -1,99 +0,0 @@ -"""Tests for the OpenClaw wire protocol.""" - -from __future__ import annotations - -import pytest - -from openjarvis.agents.openclaw_protocol import ( - MessageType, - ProtocolMessage, - deserialize, - serialize, -) - - -class TestProtocolMessage: - def test_query_message(self): - msg = ProtocolMessage(type=MessageType.QUERY, content="Hello") - assert msg.type == MessageType.QUERY - assert msg.content == "Hello" - - def test_response_message(self): - msg = ProtocolMessage(type=MessageType.RESPONSE, content="World") - assert msg.type == MessageType.RESPONSE - - def test_tool_call_message(self): - msg = ProtocolMessage( - type=MessageType.TOOL_CALL, - tool_name="calculator", - tool_args={"expression": "2+2"}, - ) - assert msg.tool_name == "calculator" - assert msg.tool_args == {"expression": "2+2"} - - def test_tool_result_message(self): - msg = ProtocolMessage( - type=MessageType.TOOL_RESULT, - tool_name="calculator", - tool_result="4", - ) - assert msg.tool_result == "4" - - def test_error_message(self): - msg = ProtocolMessage(type=MessageType.ERROR, error="Something went wrong") - assert msg.error == "Something went wrong" - - def test_health_message(self): - msg = ProtocolMessage(type=MessageType.HEALTH) - assert msg.type == MessageType.HEALTH - - -class TestSerializeDeserialize: - def test_roundtrip(self): - original = ProtocolMessage( - type=MessageType.QUERY, - content="Hello world", - metadata={"key": "value"}, - ) - line = serialize(original) - restored = deserialize(line) - assert restored.type == MessageType.QUERY - assert restored.content == "Hello world" - assert restored.metadata == {"key": "value"} - - def test_serialize_with_metadata(self): - msg = ProtocolMessage( - type=MessageType.RESPONSE, - content="result", - metadata={"model": "test"}, - ) - line = serialize(msg) - restored = deserialize(line) - assert restored.metadata["model"] == "test" - - def test_deserialize_valid_json(self): - line = '{"type": "query", "id": "123", "content": "test"}' - msg = deserialize(line) - assert msg.type == MessageType.QUERY - assert msg.id == "123" - assert msg.content == "test" - - def test_deserialize_invalid_json(self): - with pytest.raises(ValueError, match="Invalid JSON"): - deserialize("not json") - - def test_deserialize_unknown_type(self): - with pytest.raises(ValueError, match="Unknown message type"): - deserialize('{"type": "unknown_type", "content": "test"}') - - def test_tool_call_roundtrip(self): - msg = ProtocolMessage( - type=MessageType.TOOL_CALL, - tool_name="calculator", - tool_args={"expression": "3*7"}, - ) - line = serialize(msg) - restored = deserialize(line) - assert restored.type == MessageType.TOOL_CALL - assert restored.tool_name == "calculator" - assert restored.tool_args == {"expression": "3*7"} diff --git a/tests/agents/test_openclaw_transport.py b/tests/agents/test_openclaw_transport.py deleted file mode 100644 index 2f8919b6..00000000 --- a/tests/agents/test_openclaw_transport.py +++ /dev/null @@ -1,106 +0,0 @@ -"""Tests for OpenClaw transport implementations.""" - -from __future__ import annotations - -from unittest.mock import MagicMock, patch - -import pytest - -from openjarvis.agents.openclaw_protocol import MessageType, ProtocolMessage -from openjarvis.agents.openclaw_transport import ( - HttpTransport, - OpenClawTransport, - SubprocessTransport, -) - - -class TestOpenClawTransportABC: - def test_abc_cannot_instantiate(self): - with pytest.raises(TypeError): - OpenClawTransport() - - def test_concrete_required_methods(self): - class DummyTransport(OpenClawTransport): - def send(self, msg): - return msg - - def health(self): - return True - - def close(self): - pass - - t = DummyTransport() - assert t.health() is True - - -class TestHttpTransport: - def test_send(self): - transport = HttpTransport(host="http://localhost:18789") - msg = ProtocolMessage(type=MessageType.QUERY, content="Hello") - - mock_response = MagicMock() - mock_response.json.return_value = { - "type": "response", - "id": "resp-1", - "content": "World", - } - mock_response.status_code = 200 - - with patch("httpx.post", return_value=mock_response) as mock_post: - result = transport.send(msg) - assert result.type == MessageType.RESPONSE - assert result.content == "World" - mock_post.assert_called_once() - - def test_health_ok(self): - transport = HttpTransport() - mock_resp = MagicMock() - mock_resp.status_code = 200 - with patch("httpx.get", return_value=mock_resp): - assert transport.health() is True - - def test_health_fail(self): - transport = HttpTransport() - with patch("httpx.get", side_effect=Exception("Connection refused")): - assert transport.health() is False - - def test_close(self): - transport = HttpTransport() - transport.close() # should not raise - - -class TestSubprocessTransport: - def test_send(self): - transport = SubprocessTransport(node_path="node", script_path="test.js") - - mock_proc = MagicMock() - mock_proc.poll.return_value = None - mock_proc.stdin = MagicMock() - mock_proc.stdout = MagicMock() - mock_proc.stdout.readline.return_value = ( - '{"type": "response", "id": "r1", "content": "reply"}\n' - ) - - transport._process = mock_proc - - msg = ProtocolMessage(type=MessageType.QUERY, content="test") - result = transport.send(msg) - assert result.type == MessageType.RESPONSE - assert result.content == "reply" - - def test_health_fail_no_node(self): - transport = SubprocessTransport(node_path="/nonexistent/node") - assert transport.health() is False - - def test_close(self): - transport = SubprocessTransport() - mock_proc = MagicMock() - transport._process = mock_proc - transport.close() - mock_proc.terminate.assert_called_once() - assert transport._process is None - - def test_close_no_process(self): - transport = SubprocessTransport() - transport.close() # should not raise diff --git a/tests/agents/test_rlm.py b/tests/agents/test_rlm.py new file mode 100644 index 00000000..c5ad8d99 --- /dev/null +++ b/tests/agents/test_rlm.py @@ -0,0 +1,384 @@ +"""Tests for the RLM agent.""" + +from __future__ import annotations + +from unittest.mock import MagicMock + +from openjarvis.agents._stubs import AgentContext +from openjarvis.agents.rlm import RLMAgent +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import AgentRegistry +from openjarvis.core.types import ToolResult +from openjarvis.tools._stubs import BaseTool, ToolSpec + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + + +class _CalcStub(BaseTool): + tool_id = "calculator" + + @property + def spec(self) -> ToolSpec: + return ToolSpec( + name="calculator", + description="Math calculator.", + parameters={ + "type": "object", + "properties": {"expression": {"type": "string"}}, + "required": ["expression"], + }, + ) + + def execute(self, **params) -> ToolResult: + expr = params.get("expression", "0") + try: + val = eval(expr) # noqa: S307 + except Exception as e: + return ToolResult(tool_name="calculator", content=str(e), success=False) + return ToolResult(tool_name="calculator", content=str(val), success=True) + + +def _make_engine(content: str = "Final answer.") -> MagicMock: + """Engine that returns plain content (no code block).""" + engine = MagicMock() + engine.engine_id = "mock" + engine.generate.return_value = { + "content": content, + "usage": {"prompt_tokens": 5, "completion_tokens": 3, "total_tokens": 8}, + "model": "test-model", + "finish_reason": "stop", + } + return engine + + +def _make_engine_with_code( + code: str, + final_content: str = "Done.", +) -> MagicMock: + """Engine that returns a python code block, then a final answer.""" + engine = MagicMock() + engine.engine_id = "mock" + engine.generate.side_effect = [ + { + "content": f"```python\n{code}\n```", + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + }, + { + "content": final_content, + "usage": {"prompt_tokens": 15, "completion_tokens": 5, "total_tokens": 20}, + "model": "test-model", + "finish_reason": "stop", + }, + ] + return engine + + +# --------------------------------------------------------------------------- +# Tests +# --------------------------------------------------------------------------- + + +class TestRLMAgentRegistration: + def test_registered(self): + # Re-register after conftest clears all registries + AgentRegistry.register_value("rlm", RLMAgent) + assert AgentRegistry.contains("rlm") + + def test_agent_id(self): + engine = _make_engine() + agent = RLMAgent(engine, "test-model") + assert agent.agent_id == "rlm" + + +class TestRLMCodeExtraction: + def test_extract_python_block(self): + text = "Here is code:\n```python\nx = 1\n```\nDone." + code = RLMAgent._extract_code(text) + assert code == "x = 1" + + def test_extract_bare_block(self): + text = "Here is code:\n```\nx = 1\n```\nDone." + code = RLMAgent._extract_code(text) + assert code == "x = 1" + + def test_no_block(self): + text = "No code here, just text." + code = RLMAgent._extract_code(text) + assert code is None + + def test_python_preferred_over_bare(self): + text = "```python\nx = 1\n```\n\n```\ny = 2\n```" + code = RLMAgent._extract_code(text) + assert code == "x = 1" + + +class TestRLMStripThink: + def test_strip_think(self): + text = "thinking...Answer here." + result = RLMAgent._strip_think_tags(text) + assert result == "Answer here." + + def test_no_think_tags(self): + text = "Just text." + result = RLMAgent._strip_think_tags(text) + assert result == "Just text." + + +class TestRLMDirectAnswer: + def test_no_code_block_returns_content(self): + """When model returns no code block, treat content as final answer.""" + engine = _make_engine("The answer is 42.") + agent = RLMAgent(engine, "test-model") + result = agent.run("What is the answer?") + assert result.content == "The answer is 42." + assert result.turns == 1 + assert result.tool_results == [] + + +class TestRLMFinalTermination: + def test_final_terminates(self): + """FINAL() in code should terminate the agent.""" + engine = MagicMock() + engine.engine_id = "mock" + engine.generate.return_value = { + "content": "```python\nFINAL('hello world')\n```", + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + } + agent = RLMAgent(engine, "test-model") + result = agent.run("Test") + assert result.content == "hello world" + assert len(result.tool_results) == 1 + assert result.tool_results[0].tool_name == "rlm_repl" + + def test_final_var_terminates(self): + engine = MagicMock() + engine.engine_id = "mock" + engine.generate.return_value = { + "content": "```python\nresult = 42\nFINAL_VAR('result')\n```", + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + } + agent = RLMAgent(engine, "test-model") + result = agent.run("Test") + assert result.content == "42" + + +class TestRLMContextInjection: + def test_context_from_metadata(self): + engine = _make_engine("The answer is 42.") + agent = RLMAgent(engine, "test-model") + ctx = AgentContext(metadata={"context": "Some long document text."}) + result = agent.run("Summarize", context=ctx) + assert result.content == "The answer is 42." + + def test_context_from_memory_results(self): + engine = _make_engine("Summary.") + agent = RLMAgent(engine, "test-model") + ctx = AgentContext(memory_results=["chunk1", "chunk2"]) + result = agent.run("Summarize", context=ctx) + assert result.content == "Summary." + + +class TestRLMSubLMCalls: + def test_sub_lm_called_from_repl(self): + """Verify that llm_query() inside REPL code calls engine.generate.""" + engine = MagicMock() + engine.engine_id = "mock" + # First call: root LM generates code that calls llm_query + # Second call: sub-LM responds to llm_query + # Third call: root LM gets REPL output, returns final (no code) + engine.generate.side_effect = [ + { + "content": "```python\nresult = llm_query('What is 2+2?')\nFINAL(result)\n```", + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + }, + # Sub-LM response for llm_query + { + "content": "4", + "usage": {"prompt_tokens": 3, "completion_tokens": 1, "total_tokens": 4}, + "model": "test-model", + "finish_reason": "stop", + }, + ] + agent = RLMAgent(engine, "test-model") + result = agent.run("Calculate") + assert result.content == "4" + # engine.generate should be called at least twice (root + sub) + assert engine.generate.call_count >= 2 + + +class TestRLMMultiTurn: + def test_multi_turn_loop(self): + """Agent should loop: generate code → execute → feed output → generate again.""" + engine = MagicMock() + engine.engine_id = "mock" + engine.generate.side_effect = [ + # Turn 1: code that sets a variable + { + "content": "```python\nx = 10\nprint(f'x = {x}')\n```", + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + }, + # Turn 2: code that uses the variable and terminates + { + "content": "```python\ny = x * 2\nFINAL(y)\n```", + "usage": {"prompt_tokens": 20, "completion_tokens": 10, "total_tokens": 30}, + "model": "test-model", + "finish_reason": "stop", + }, + ] + agent = RLMAgent(engine, "test-model") + result = agent.run("Calculate") + assert result.content == "20" + assert result.turns == 2 + assert len(result.tool_results) == 2 + + def test_max_turns_exceeded(self): + """Agent should stop after max_turns.""" + engine = MagicMock() + engine.engine_id = "mock" + engine.generate.return_value = { + "content": "```python\nprint('looping')\n```", + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + } + agent = RLMAgent(engine, "test-model", max_turns=3) + result = agent.run("Loop") + assert result.turns == 3 + assert result.metadata.get("max_turns_exceeded") is True + + def test_max_turns_with_partial_answer(self): + """When max turns exceeded but answer dict has value, use it.""" + engine = MagicMock() + engine.engine_id = "mock" + engine.generate.return_value = { + "content": "```python\nanswer['value'] = 'partial'\nprint('working')\n```", + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + } + agent = RLMAgent(engine, "test-model", max_turns=2) + result = agent.run("Work") + assert result.content == "partial" + assert result.metadata.get("max_turns_exceeded") is True + + +class TestRLMEventBus: + def test_agent_events(self): + bus = EventBus(record_history=True) + engine = _make_engine("Direct answer.") + agent = RLMAgent(engine, "test-model", bus=bus) + agent.run("Hello") + event_types = [e.event_type for e in bus.history] + assert EventType.AGENT_TURN_START in event_types + assert EventType.AGENT_TURN_END in event_types + + def test_agent_events_with_code(self): + bus = EventBus(record_history=True) + engine = MagicMock() + engine.engine_id = "mock" + engine.generate.return_value = { + "content": "```python\nFINAL('done')\n```", + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + } + agent = RLMAgent(engine, "test-model", bus=bus) + agent.run("Test") + event_types = [e.event_type for e in bus.history] + assert EventType.AGENT_TURN_START in event_types + assert EventType.AGENT_TURN_END in event_types + + +class TestRLMSubLMWithTools: + def test_sub_lm_tool_resolution(self): + """When sub-LM returns tool_calls, agent resolves them.""" + engine = MagicMock() + engine.engine_id = "mock" + engine.generate.side_effect = [ + # Root LM: code that calls llm_query + { + "content": "```python\nresult = llm_query('Calculate 2+2')\nFINAL(result)\n```", + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + }, + # Sub-LM: returns tool call + { + "content": "", + "tool_calls": [ + {"id": "sub_0", "name": "calculator", "arguments": '{"expression":"2+2"}'}, + ], + "usage": {"prompt_tokens": 3, "completion_tokens": 5, "total_tokens": 8}, + "model": "test-model", + "finish_reason": "tool_calls", + }, + # Sub-LM follow-up after tool result + { + "content": "The answer is 4.", + "usage": {"prompt_tokens": 10, "completion_tokens": 5, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + }, + ] + agent = RLMAgent(engine, "test-model", tools=[_CalcStub()]) + result = agent.run("Calculate") + assert result.content == "The answer is 4." + + +class TestRLMBlockedCode: + def test_blocked_code_returns_error(self): + engine = MagicMock() + engine.engine_id = "mock" + engine.generate.side_effect = [ + # Code with blocked pattern + { + "content": "```python\nos.system('ls')\n```", + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + }, + # After error feedback, model gives direct answer + { + "content": "I apologize, let me answer directly.", + "usage": {"prompt_tokens": 15, "completion_tokens": 5, "total_tokens": 20}, + "model": "test-model", + "finish_reason": "stop", + }, + ] + agent = RLMAgent(engine, "test-model") + result = agent.run("Test") + assert result.content == "I apologize, let me answer directly." + # The blocked code should produce a failed tool result + assert len(result.tool_results) == 1 + assert result.tool_results[0].success is False + assert "Blocked" in result.tool_results[0].content + + +class TestRLMReplResults: + def test_repl_results_in_tool_results(self): + engine = MagicMock() + engine.engine_id = "mock" + engine.generate.return_value = { + "content": "```python\nprint('hello')\nFINAL('done')\n```", + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + "model": "test-model", + "finish_reason": "stop", + } + agent = RLMAgent(engine, "test-model") + result = agent.run("Test") + assert len(result.tool_results) == 1 + assert result.tool_results[0].tool_name == "rlm_repl" + assert "hello" in result.tool_results[0].content diff --git a/tests/agents/test_rlm_repl.py b/tests/agents/test_rlm_repl.py new file mode 100644 index 00000000..dd96f899 --- /dev/null +++ b/tests/agents/test_rlm_repl.py @@ -0,0 +1,206 @@ +"""Tests for the RLM REPL environment.""" + +from __future__ import annotations + +from openjarvis.agents.rlm_repl import RLMRepl + + +class TestRLMReplBasics: + """Basic execution and variable persistence.""" + + def test_variable_persistence(self): + repl = RLMRepl() + repl.execute("x = 42") + repl.execute("y = x + 1") + assert repl.get_variable("x") == 42 + assert repl.get_variable("y") == 43 + + def test_code_execution_stdout(self): + repl = RLMRepl() + output = repl.execute("print('hello')") + assert "hello" in output + + def test_function_definition(self): + repl = RLMRepl() + repl.execute("def double(n): return n * 2") + repl.execute("result = double(5)") + assert repl.get_variable("result") == 10 + + def test_multiline_code(self): + repl = RLMRepl() + code = "for i in range(3):\n print(i)" + output = repl.execute(code) + assert "0" in output + assert "1" in output + assert "2" in output + + def test_set_and_get_variable(self): + repl = RLMRepl() + repl.set_variable("x", 99) + assert repl.get_variable("x") == 99 + + def test_get_missing_variable(self): + repl = RLMRepl() + assert repl.get_variable("missing") is None + + +class TestRLMReplSecurity: + """Security: blocked patterns and safe modules.""" + + def test_blocked_os_system(self): + repl = RLMRepl() + output = repl.execute("os.system('ls')") + assert "Blocked" in output + + def test_blocked_subprocess(self): + repl = RLMRepl() + output = repl.execute("import subprocess") + assert "Blocked" in output + + def test_blocked_open(self): + repl = RLMRepl() + output = repl.execute("f = open('/etc/passwd')") + assert "Blocked" in output + + def test_blocked_dunder_import(self): + repl = RLMRepl() + output = repl.execute("__import__('os')") + assert "Blocked" in output + + def test_blocked_socket(self): + repl = RLMRepl() + output = repl.execute("import socket") + assert "Blocked" in output + + def test_safe_modules_available(self): + repl = RLMRepl() + # json, re, math should be pre-injected + assert repl.get_variable("json") is not None + assert repl.get_variable("re") is not None + assert repl.get_variable("math") is not None + + def test_safe_module_usage(self): + repl = RLMRepl() + repl.execute("result = json.dumps({'a': 1})") + assert repl.get_variable("result") == '{"a": 1}' + + def test_math_module_usage(self): + repl = RLMRepl() + repl.execute("result = math.sqrt(16)") + assert repl.get_variable("result") == 4.0 + + def test_security_check_returns_none_for_safe_code(self): + repl = RLMRepl() + assert repl.security_check("x = 1 + 2") is None + + def test_security_check_returns_error_for_blocked(self): + repl = RLMRepl() + result = repl.security_check("os.system('rm -rf /')") + assert result is not None + assert "Blocked" in result + + +class TestRLMReplTermination: + """FINAL, FINAL_VAR, and answer dict termination.""" + + def test_final_terminates(self): + repl = RLMRepl() + assert not repl.is_terminated + repl.execute("FINAL('done')") + assert repl.is_terminated + assert repl.final_answer == "done" + + def test_final_var_terminates(self): + repl = RLMRepl() + repl.execute("result = 42") + repl.execute("FINAL_VAR('result')") + assert repl.is_terminated + assert repl.final_answer == 42 + + def test_answer_dict_terminates(self): + repl = RLMRepl() + repl.execute("answer['value'] = 'hello'") + repl.execute("answer['ready'] = True") + assert repl.is_terminated + assert repl.final_answer == "hello" + + def test_answer_dict_not_ready(self): + repl = RLMRepl() + repl.execute("answer['value'] = 'hello'") + assert not repl.is_terminated + + def test_final_with_complex_value(self): + repl = RLMRepl() + repl.execute("FINAL([1, 2, 3])") + assert repl.is_terminated + assert repl.final_answer == [1, 2, 3] + + +class TestRLMReplCallbacks: + """llm_query and llm_batch callbacks.""" + + def test_llm_query_callback(self): + calls = [] + + def mock_query(prompt): + calls.append(prompt) + return f"answer: {prompt}" + + repl = RLMRepl(llm_query_fn=mock_query) + repl.execute("result = llm_query('What is 2+2?')") + assert len(calls) == 1 + assert calls[0] == "What is 2+2?" + assert repl.get_variable("result") == "answer: What is 2+2?" + + def test_llm_batch_callback(self): + def mock_batch(prompts): + return [f"answer: {p}" for p in prompts] + + repl = RLMRepl(llm_batch_fn=mock_batch) + repl.execute("results = llm_batch(['q1', 'q2'])") + results = repl.get_variable("results") + assert len(results) == 2 + assert results[0] == "answer: q1" + assert results[1] == "answer: q2" + + def test_no_callback_raises(self): + """If llm_query not injected, calling it raises NameError.""" + repl = RLMRepl() + output = repl.execute("llm_query('test')") + assert "NameError" in output + + +class TestRLMReplOutput: + """Output truncation and error handling.""" + + def test_output_truncation(self): + repl = RLMRepl(max_output_chars=50) + repl.execute("print('x' * 200)") + output = repl.execute("print('y' * 200)") + assert "truncated" in output + + def test_syntax_error(self): + repl = RLMRepl() + output = repl.execute("def foo(") + assert "SyntaxError" in output + + def test_runtime_error(self): + repl = RLMRepl() + output = repl.execute("1 / 0") + assert "ZeroDivisionError" in output + + def test_name_error(self): + repl = RLMRepl() + output = repl.execute("print(undefined_var)") + assert "NameError" in output + + def test_error_doesnt_corrupt_state(self): + repl = RLMRepl() + repl.execute("x = 10") + repl.execute("1 / 0") # Error + assert repl.get_variable("x") == 10 + + def test_no_output_returns_empty(self): + repl = RLMRepl() + output = repl.execute("x = 1") + assert output == "" diff --git a/tests/channels/test_bluebubbles.py b/tests/channels/test_bluebubbles.py new file mode 100644 index 00000000..b927e881 --- /dev/null +++ b/tests/channels/test_bluebubbles.py @@ -0,0 +1,143 @@ +"""Tests for the BlueBubblesChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.bluebubbles import BlueBubblesChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_bluebubbles(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("bluebubbles"): + ChannelRegistry.register_value("bluebubbles", BlueBubblesChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("bluebubbles") + + def test_channel_id(self): + ch = BlueBubblesChannel(url="http://localhost:1234", password="test-pass") + assert ch.channel_id == "bluebubbles" + + +class TestInit: + def test_defaults(self): + ch = BlueBubblesChannel() + assert ch._url == "" + assert ch._password == "" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_param(self): + ch = BlueBubblesChannel(url="http://localhost:1234", password="test-pass") + assert ch._url == "http://localhost:1234" + assert ch._password == "test-pass" + + def test_env_var_fallback(self): + with patch.dict(os.environ, {"BLUEBUBBLES_URL": "http://env:1234", "BLUEBUBBLES_PASSWORD": "env-pass"}): + ch = BlueBubblesChannel() + assert ch._url == "http://env:1234" + assert ch._password == "env-pass" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, {"BLUEBUBBLES_URL": "http://env:1234", "BLUEBUBBLES_PASSWORD": "env-pass"}): + ch = BlueBubblesChannel(url="http://explicit:1234", password="explicit-pass") + assert ch._url == "http://explicit:1234" + assert ch._password == "explicit-pass" + + +class TestSend: + def test_send_success(self): + ch = BlueBubblesChannel(url="http://localhost:1234", password="test-pass") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response) as mock_post: + result = ch.send("iMessage;+;chat123", "Hello!") + assert result is True + mock_post.assert_called_once() + call_args = mock_post.call_args + assert call_args[1]["params"] == {"password": "test-pass"} + payload = call_args[1]["json"] + assert "chatGuid" in payload + assert payload["chatGuid"] == "iMessage;+;chat123" + assert "message" in payload + assert payload["message"] == "Hello!" + + def test_send_failure(self): + ch = BlueBubblesChannel(url="http://localhost:1234", password="test-pass") + + mock_response = MagicMock() + mock_response.status_code = 400 + mock_response.text = "Bad Request" + + with patch("httpx.post", return_value=mock_response): + result = ch.send("iMessage;+;chat123", "Hello!") + assert result is False + + def test_send_exception(self): + ch = BlueBubblesChannel(url="http://localhost:1234", password="test-pass") + + with patch("httpx.post", side_effect=ConnectionError("refused")): + result = ch.send("iMessage;+;chat123", "Hello!") + assert result is False + + def test_send_no_token(self): + ch = BlueBubblesChannel() + result = ch.send("iMessage;+;chat123", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = BlueBubblesChannel(url="http://localhost:1234", password="test-pass", bus=bus) + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response): + ch.send("iMessage;+;chat123", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = BlueBubblesChannel(url="http://localhost:1234", password="test-pass") + assert ch.list_channels() == ["bluebubbles"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = BlueBubblesChannel(url="http://localhost:1234", password="test-pass") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_url_connect_error(self): + ch = BlueBubblesChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = BlueBubblesChannel(url="http://localhost:1234", password="test-pass") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = BlueBubblesChannel(url="http://localhost:1234", password="test-pass") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_channel_config.py b/tests/channels/test_channel_config.py new file mode 100644 index 00000000..005fa09a --- /dev/null +++ b/tests/channels/test_channel_config.py @@ -0,0 +1,195 @@ +"""Tests for channel configuration — nested sub-configs and TOML loading.""" + +from __future__ import annotations + +import tempfile +from pathlib import Path + +from openjarvis.core.config import ( + ChannelConfig, + DiscordChannelConfig, + EmailChannelConfig, + SlackChannelConfig, + TelegramChannelConfig, + WebhookChannelConfig, + load_config, +) + + +class TestChannelConfig: + def test_defaults(self): + cfg = ChannelConfig() + assert cfg.enabled is False + assert cfg.default_channel == "" + assert cfg.default_agent == "simple" + + def test_nested_defaults(self): + cfg = ChannelConfig() + assert isinstance(cfg.telegram, TelegramChannelConfig) + assert isinstance(cfg.discord, DiscordChannelConfig) + assert isinstance(cfg.slack, SlackChannelConfig) + assert isinstance(cfg.webhook, WebhookChannelConfig) + assert isinstance(cfg.email, EmailChannelConfig) + + def test_telegram_defaults(self): + cfg = TelegramChannelConfig() + assert cfg.bot_token == "" + assert cfg.allowed_chat_ids == "" + assert cfg.parse_mode == "Markdown" + + def test_discord_defaults(self): + cfg = DiscordChannelConfig() + assert cfg.bot_token == "" + + def test_slack_defaults(self): + cfg = SlackChannelConfig() + assert cfg.bot_token == "" + assert cfg.app_token == "" + + def test_webhook_defaults(self): + cfg = WebhookChannelConfig() + assert cfg.url == "" + assert cfg.secret == "" + assert cfg.method == "POST" + + def test_email_defaults(self): + cfg = EmailChannelConfig() + assert cfg.smtp_host == "" + assert cfg.smtp_port == 587 + assert cfg.imap_host == "" + assert cfg.imap_port == 993 + assert cfg.username == "" + assert cfg.password == "" + assert cfg.use_tls is True + + +class TestTomlLoading: + def _write_toml(self, content: str) -> Path: + f = tempfile.NamedTemporaryFile( + mode="w", suffix=".toml", delete=False, + ) + f.write(content) + f.flush() + f.close() + return Path(f.name) + + def test_load_channel_top_level(self): + path = self._write_toml(""" +[channel] +enabled = true +default_channel = "telegram" +""") + try: + cfg = load_config(path) + assert cfg.channel.enabled is True + assert cfg.channel.default_channel == "telegram" + finally: + path.unlink() + + def test_load_channel_telegram(self): + path = self._write_toml(""" +[channel] +enabled = true +default_channel = "telegram" + +[channel.telegram] +bot_token = "123:ABC" +parse_mode = "HTML" +""") + try: + cfg = load_config(path) + assert cfg.channel.telegram.bot_token == "123:ABC" + assert cfg.channel.telegram.parse_mode == "HTML" + finally: + path.unlink() + + def test_load_channel_discord(self): + path = self._write_toml(""" +[channel.discord] +bot_token = "discord-token" +""") + try: + cfg = load_config(path) + assert cfg.channel.discord.bot_token == "discord-token" + finally: + path.unlink() + + def test_load_channel_slack(self): + path = self._write_toml(""" +[channel.slack] +bot_token = "xoxb-slack" +app_token = "xapp-slack" +""") + try: + cfg = load_config(path) + assert cfg.channel.slack.bot_token == "xoxb-slack" + assert cfg.channel.slack.app_token == "xapp-slack" + finally: + path.unlink() + + def test_load_channel_webhook(self): + path = self._write_toml(""" +[channel.webhook] +url = "https://example.com/hook" +secret = "s3cr3t" +method = "PUT" +""") + try: + cfg = load_config(path) + assert cfg.channel.webhook.url == "https://example.com/hook" + assert cfg.channel.webhook.secret == "s3cr3t" + assert cfg.channel.webhook.method == "PUT" + finally: + path.unlink() + + def test_load_channel_email(self): + path = self._write_toml(""" +[channel.email] +smtp_host = "smtp.example.com" +smtp_port = 465 +username = "user@example.com" +password = "pass" +use_tls = false +""") + try: + cfg = load_config(path) + assert cfg.channel.email.smtp_host == "smtp.example.com" + assert cfg.channel.email.smtp_port == 465 + assert cfg.channel.email.username == "user@example.com" + assert cfg.channel.email.password == "pass" + assert cfg.channel.email.use_tls is False + finally: + path.unlink() + + def test_backward_compat_no_default_channel(self): + """Old config without default_channel still works.""" + path = self._write_toml(""" +[channel] +enabled = false +""") + try: + cfg = load_config(path) + assert cfg.channel.enabled is False + assert cfg.channel.default_channel == "" + finally: + path.unlink() + + def test_multiple_channel_configs(self): + path = self._write_toml(""" +[channel] +enabled = true +default_channel = "slack" + +[channel.telegram] +bot_token = "tg-token" + +[channel.slack] +bot_token = "slack-token" +""") + try: + cfg = load_config(path) + assert cfg.channel.default_channel == "slack" + assert cfg.channel.telegram.bot_token == "tg-token" + assert cfg.channel.slack.bot_token == "slack-token" + finally: + path.unlink() diff --git a/tests/channels/test_channel_registry.py b/tests/channels/test_channel_registry.py index e5f2e024..d8e992c4 100644 --- a/tests/channels/test_channel_registry.py +++ b/tests/channels/test_channel_registry.py @@ -74,17 +74,6 @@ class TestChannelRegistry: assert isinstance(instance, CreatableChannel) assert instance.channel_id == "creatable" - def test_openclaw_bridge_registered(self) -> None: - """After importing openclaw_bridge, 'openclaw' should be in the registry.""" - from openjarvis.channels.openclaw_bridge import OpenClawChannelBridge - - # Re-register since conftest clears registries - if not ChannelRegistry.contains("openclaw"): - ChannelRegistry.register_value("openclaw", OpenClawChannelBridge) - - assert ChannelRegistry.contains("openclaw") - assert ChannelRegistry.get("openclaw") is OpenClawChannelBridge - def test_duplicate_registration_raises(self) -> None: """Registering the same key twice should raise ValueError.""" ChannelRegistry.register_value("dup", object) diff --git a/tests/channels/test_config.py b/tests/channels/test_config.py index b2b45aa5..cd4cd4f8 100644 --- a/tests/channels/test_config.py +++ b/tests/channels/test_config.py @@ -12,21 +12,15 @@ class TestChannelConfigDefaults: def test_channel_config_defaults(self) -> None: cfg = ChannelConfig() assert cfg.enabled is False - assert cfg.gateway_url == "ws://127.0.0.1:18789/ws" assert cfg.default_agent == "simple" - assert cfg.reconnect_interval == 5.0 def test_channel_config_custom(self) -> None: cfg = ChannelConfig( enabled=True, - gateway_url="ws://custom:9999/ws", default_agent="orchestrator", - reconnect_interval=10.0, ) assert cfg.enabled is True - assert cfg.gateway_url == "ws://custom:9999/ws" assert cfg.default_agent == "orchestrator" - assert cfg.reconnect_interval == 10.0 class TestChannelConfigInJarvisConfig: @@ -38,7 +32,7 @@ class TestChannelConfigInJarvisConfig: def test_jarvis_config_channel_defaults(self) -> None: cfg = JarvisConfig() assert cfg.channel.enabled is False - assert cfg.channel.gateway_url == "ws://127.0.0.1:18789/ws" + assert cfg.channel.default_channel == "" class TestLoadConfigWithChannel: @@ -47,18 +41,14 @@ class TestLoadConfigWithChannel: toml_content = textwrap.dedent("""\ [channel] enabled = true - gateway_url = "ws://my-gateway:7777/ws" default_agent = "orchestrator" - reconnect_interval = 15.0 """) config_file = tmp_path / "config.toml" config_file.write_text(toml_content) cfg = load_config(path=config_file) assert cfg.channel.enabled is True - assert cfg.channel.gateway_url == "ws://my-gateway:7777/ws" assert cfg.channel.default_agent == "orchestrator" - assert cfg.channel.reconnect_interval == 15.0 def test_load_config_without_channel_section(self, tmp_path: Path) -> None: """When no [channel] section, defaults should apply.""" @@ -71,7 +61,7 @@ class TestLoadConfigWithChannel: cfg = load_config(path=config_file) assert cfg.channel.enabled is False - assert cfg.channel.gateway_url == "ws://127.0.0.1:18789/ws" + assert cfg.channel.default_channel == "" def test_load_config_partial_channel_section(self, tmp_path: Path) -> None: """Partial [channel] section overlays only specified fields.""" @@ -85,6 +75,4 @@ class TestLoadConfigWithChannel: cfg = load_config(path=config_file) assert cfg.channel.enabled is True # Non-specified fields keep defaults - assert cfg.channel.gateway_url == "ws://127.0.0.1:18789/ws" assert cfg.channel.default_agent == "simple" - assert cfg.channel.reconnect_interval == 5.0 diff --git a/tests/channels/test_discord_channel.py b/tests/channels/test_discord_channel.py new file mode 100644 index 00000000..b293db82 --- /dev/null +++ b/tests/channels/test_discord_channel.py @@ -0,0 +1,150 @@ +"""Tests for the DiscordChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.discord_channel import DiscordChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_discord(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("discord"): + ChannelRegistry.register_value("discord", DiscordChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("discord") + + def test_channel_id(self): + ch = DiscordChannel(bot_token="test-token") + assert ch.channel_id == "discord" + + +class TestInit: + def test_defaults(self): + ch = DiscordChannel() + assert ch._token == "" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_token(self): + ch = DiscordChannel(bot_token="my-token") + assert ch._token == "my-token" + + def test_env_var_fallback(self): + with patch.dict(os.environ, {"DISCORD_BOT_TOKEN": "env-token"}): + ch = DiscordChannel() + assert ch._token == "env-token" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, {"DISCORD_BOT_TOKEN": "env-token"}): + ch = DiscordChannel(bot_token="explicit-token") + assert ch._token == "explicit-token" + + +class TestSend: + def test_send_success(self): + ch = DiscordChannel(bot_token="my-bot-token") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response) as mock_post: + result = ch.send("987654321", "Hello Discord!") + assert result is True + mock_post.assert_called_once() + call_args = mock_post.call_args + url = call_args[0][0] + assert "discord.com/api/v10/channels/987654321/messages" in url + headers = call_args[1]["headers"] + assert headers["Authorization"] == "Bot my-bot-token" + payload = call_args[1]["json"] + assert payload["content"] == "Hello Discord!" + + def test_send_with_conversation_id(self): + ch = DiscordChannel(bot_token="my-bot-token") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response) as mock_post: + ch.send("987654321", "Reply!", conversation_id="msg-123") + payload = mock_post.call_args[1]["json"] + assert payload["message_reference"] == {"message_id": "msg-123"} + + def test_send_failure(self): + ch = DiscordChannel(bot_token="my-bot-token") + + mock_response = MagicMock() + mock_response.status_code = 403 + mock_response.text = "Missing Permissions" + + with patch("httpx.post", return_value=mock_response): + result = ch.send("987654321", "Hello!") + assert result is False + + def test_send_exception(self): + ch = DiscordChannel(bot_token="my-bot-token") + + with patch("httpx.post", side_effect=ConnectionError("refused")): + result = ch.send("987654321", "Hello!") + assert result is False + + def test_send_no_token(self): + ch = DiscordChannel() + result = ch.send("987654321", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = DiscordChannel(bot_token="my-bot-token", bus=bus) + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response): + ch.send("987654321", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = DiscordChannel(bot_token="my-bot-token") + assert ch.list_channels() == ["discord"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = DiscordChannel(bot_token="my-bot-token") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_token_connect_error(self): + ch = DiscordChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = DiscordChannel(bot_token="my-bot-token") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = DiscordChannel(bot_token="my-bot-token") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_email_channel.py b/tests/channels/test_email_channel.py new file mode 100644 index 00000000..fc515b98 --- /dev/null +++ b/tests/channels/test_email_channel.py @@ -0,0 +1,213 @@ +"""Tests for the EmailChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.email_channel import EmailChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_email(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("email"): + ChannelRegistry.register_value("email", EmailChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("email") + + def test_channel_id(self): + ch = EmailChannel( + smtp_host="smtp.example.com", username="user@example.com", + ) + assert ch.channel_id == "email" + + +class TestInit: + def test_defaults(self): + ch = EmailChannel() + assert ch._smtp_host == "" + assert ch._smtp_port == 587 + assert ch._imap_host == "" + assert ch._imap_port == 993 + assert ch._username == "" + assert ch._password == "" + assert ch._use_tls is True + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_params(self): + ch = EmailChannel( + smtp_host="smtp.example.com", + smtp_port=465, + imap_host="imap.example.com", + imap_port=143, + username="user@example.com", + password="pass123", + use_tls=False, + ) + assert ch._smtp_host == "smtp.example.com" + assert ch._smtp_port == 465 + assert ch._imap_host == "imap.example.com" + assert ch._imap_port == 143 + assert ch._username == "user@example.com" + assert ch._password == "pass123" + assert ch._use_tls is False + + def test_env_var_fallback(self): + with patch.dict(os.environ, { + "EMAIL_USERNAME": "env@example.com", + "EMAIL_PASSWORD": "env-pass", + }): + ch = EmailChannel() + assert ch._username == "env@example.com" + assert ch._password == "env-pass" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, {"EMAIL_USERNAME": "env@example.com"}): + ch = EmailChannel(username="explicit@example.com") + assert ch._username == "explicit@example.com" + + +class TestSend: + def test_send_success_tls(self): + ch = EmailChannel( + smtp_host="smtp.example.com", + username="user@example.com", + password="pass123", + ) + + mock_smtp = MagicMock() + with patch("smtplib.SMTP", return_value=mock_smtp) as mock_cls: + mock_smtp.__enter__ = MagicMock(return_value=mock_smtp) + mock_smtp.__exit__ = MagicMock(return_value=False) + result = ch.send("recipient@example.com", "Hello!") + assert result is True + mock_cls.assert_called_once_with("smtp.example.com", 587) + mock_smtp.starttls.assert_called_once() + mock_smtp.login.assert_called_once_with("user@example.com", "pass123") + mock_smtp.send_message.assert_called_once() + + def test_send_success_no_tls(self): + ch = EmailChannel( + smtp_host="smtp.example.com", + username="user@example.com", + password="pass123", + use_tls=False, + ) + + mock_smtp = MagicMock() + with patch("smtplib.SMTP", return_value=mock_smtp): + mock_smtp.__enter__ = MagicMock(return_value=mock_smtp) + mock_smtp.__exit__ = MagicMock(return_value=False) + result = ch.send("recipient@example.com", "Hello!") + assert result is True + mock_smtp.starttls.assert_not_called() + + def test_send_no_config(self): + ch = EmailChannel() + result = ch.send("recipient@example.com", "Hello!") + assert result is False + + def test_send_exception(self): + ch = EmailChannel( + smtp_host="smtp.example.com", + username="user@example.com", + password="pass123", + ) + + with patch("smtplib.SMTP", side_effect=ConnectionError("refused")): + result = ch.send("recipient@example.com", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = EmailChannel( + smtp_host="smtp.example.com", + username="user@example.com", + password="pass123", + bus=bus, + ) + + mock_smtp = MagicMock() + with patch("smtplib.SMTP", return_value=mock_smtp): + mock_smtp.__enter__ = MagicMock(return_value=mock_smtp) + mock_smtp.__exit__ = MagicMock(return_value=False) + ch.send("recipient@example.com", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + def test_send_with_subject_metadata(self): + ch = EmailChannel( + smtp_host="smtp.example.com", + username="user@example.com", + password="pass123", + ) + + mock_smtp = MagicMock() + with patch("smtplib.SMTP", return_value=mock_smtp): + mock_smtp.__enter__ = MagicMock(return_value=mock_smtp) + mock_smtp.__exit__ = MagicMock(return_value=False) + result = ch.send( + "recipient@example.com", + "Hello!", + metadata={"subject": "Custom Subject"}, + ) + assert result is True + sent_msg = mock_smtp.send_message.call_args[0][0] + assert sent_msg["Subject"] == "Custom Subject" + + +class TestListChannels: + def test_list_channels(self): + ch = EmailChannel(smtp_host="smtp.example.com", username="user@example.com") + assert ch.list_channels() == ["email"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = EmailChannel(smtp_host="smtp.example.com", username="user@example.com") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_config_connect_error(self): + ch = EmailChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestConnect: + def test_connect_smtp_only(self): + ch = EmailChannel( + smtp_host="smtp.example.com", + username="user@example.com", + ) + ch.connect() + assert ch.status() == ChannelStatus.CONNECTED + # No IMAP, so no listener thread + assert ch._listener_thread is None + + +class TestOnMessage: + def test_on_message(self): + ch = EmailChannel(smtp_host="smtp.example.com", username="user@example.com") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = EmailChannel( + smtp_host="smtp.example.com", username="user@example.com", + ) + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_feishu.py b/tests/channels/test_feishu.py new file mode 100644 index 00000000..9ecdf150 --- /dev/null +++ b/tests/channels/test_feishu.py @@ -0,0 +1,148 @@ +"""Tests for the FeishuChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.feishu import FeishuChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_feishu(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("feishu"): + ChannelRegistry.register_value("feishu", FeishuChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("feishu") + + def test_channel_id(self): + ch = FeishuChannel(app_id="test-id", app_secret="test-secret") + assert ch.channel_id == "feishu" + + +class TestInit: + def test_defaults(self): + ch = FeishuChannel() + assert ch._app_id == "" + assert ch._app_secret == "" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_param(self): + ch = FeishuChannel(app_id="test-id", app_secret="test-secret") + assert ch._app_id == "test-id" + assert ch._app_secret == "test-secret" + + def test_env_var_fallback(self): + with patch.dict(os.environ, {"FEISHU_APP_ID": "env-id", "FEISHU_APP_SECRET": "env-secret"}): + ch = FeishuChannel() + assert ch._app_id == "env-id" + assert ch._app_secret == "env-secret" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, {"FEISHU_APP_ID": "env-id", "FEISHU_APP_SECRET": "env-secret"}): + ch = FeishuChannel(app_id="explicit-id", app_secret="explicit-secret") + assert ch._app_id == "explicit-id" + assert ch._app_secret == "explicit-secret" + + +class TestSend: + def test_send_success(self): + ch = FeishuChannel(app_id="test-id", app_secret="test-secret") + + token_resp = MagicMock() + token_resp.status_code = 200 + token_resp.json.return_value = {"tenant_access_token": "fake-token"} + + msg_resp = MagicMock() + msg_resp.status_code = 200 + + with patch("httpx.post", side_effect=[token_resp, msg_resp]) as mock_post: + result = ch.send("chat_id", "Hello!") + assert result is True + assert mock_post.call_count == 2 + + def test_send_failure(self): + ch = FeishuChannel(app_id="test-id", app_secret="test-secret") + + token_resp = MagicMock() + token_resp.status_code = 200 + token_resp.json.return_value = {"tenant_access_token": "fake-token"} + + msg_resp = MagicMock() + msg_resp.status_code = 400 + msg_resp.text = "Bad Request" + + with patch("httpx.post", side_effect=[token_resp, msg_resp]): + result = ch.send("chat_id", "Hello!") + assert result is False + + def test_send_exception(self): + ch = FeishuChannel(app_id="test-id", app_secret="test-secret") + + with patch("httpx.post", side_effect=ConnectionError("refused")): + result = ch.send("chat_id", "Hello!") + assert result is False + + def test_send_no_token(self): + ch = FeishuChannel() + result = ch.send("chat_id", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = FeishuChannel(app_id="test-id", app_secret="test-secret", bus=bus) + + token_resp = MagicMock() + token_resp.status_code = 200 + token_resp.json.return_value = {"tenant_access_token": "fake-token"} + + msg_resp = MagicMock() + msg_resp.status_code = 200 + + with patch("httpx.post", side_effect=[token_resp, msg_resp]): + ch.send("chat_id", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = FeishuChannel(app_id="test-id", app_secret="test-secret") + assert ch.list_channels() == ["feishu"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = FeishuChannel(app_id="test-id", app_secret="test-secret") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_config_connect_error(self): + ch = FeishuChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = FeishuChannel(app_id="test-id", app_secret="test-secret") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = FeishuChannel(app_id="test-id", app_secret="test-secret") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_google_chat.py b/tests/channels/test_google_chat.py new file mode 100644 index 00000000..b04ec86b --- /dev/null +++ b/tests/channels/test_google_chat.py @@ -0,0 +1,139 @@ +"""Tests for the GoogleChatChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.google_chat import GoogleChatChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_google_chat(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("google_chat"): + ChannelRegistry.register_value("google_chat", GoogleChatChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("google_chat") + + def test_channel_id(self): + ch = GoogleChatChannel(webhook_url="https://chat.googleapis.com/v1/spaces/xxx/messages?key=yyy") + assert ch.channel_id == "google_chat" + + +class TestInit: + def test_defaults(self): + ch = GoogleChatChannel() + assert ch._webhook_url == "" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_url(self): + ch = GoogleChatChannel(webhook_url="https://chat.googleapis.com/v1/spaces/xxx/messages?key=yyy") + assert ch._webhook_url == "https://chat.googleapis.com/v1/spaces/xxx/messages?key=yyy" + + def test_env_var_fallback(self): + with patch.dict(os.environ, { + "GOOGLE_CHAT_WEBHOOK_URL": "https://chat.googleapis.com/v1/spaces/env/messages?key=env", + }): + ch = GoogleChatChannel() + assert ch._webhook_url == "https://chat.googleapis.com/v1/spaces/env/messages?key=env" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, { + "GOOGLE_CHAT_WEBHOOK_URL": "https://chat.googleapis.com/v1/spaces/env/messages?key=env", + }): + ch = GoogleChatChannel(webhook_url="https://chat.googleapis.com/v1/spaces/explicit/messages?key=explicit") + assert ch._webhook_url == "https://chat.googleapis.com/v1/spaces/explicit/messages?key=explicit" + + +class TestSend: + def test_send_success(self): + ch = GoogleChatChannel(webhook_url="https://chat.googleapis.com/v1/spaces/xxx/messages?key=yyy") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response) as mock_post: + result = ch.send("space", "Hello!") + assert result is True + mock_post.assert_called_once() + + def test_send_failure(self): + ch = GoogleChatChannel(webhook_url="https://chat.googleapis.com/v1/spaces/xxx/messages?key=yyy") + + mock_response = MagicMock() + mock_response.status_code = 400 + mock_response.text = "Bad Request" + + with patch("httpx.post", return_value=mock_response): + result = ch.send("space", "Hello!") + assert result is False + + def test_send_exception(self): + ch = GoogleChatChannel(webhook_url="https://chat.googleapis.com/v1/spaces/xxx/messages?key=yyy") + + with patch("httpx.post", side_effect=ConnectionError("refused")): + result = ch.send("space", "Hello!") + assert result is False + + def test_send_no_url(self): + ch = GoogleChatChannel() + result = ch.send("space", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = GoogleChatChannel( + webhook_url="https://chat.googleapis.com/v1/spaces/xxx/messages?key=yyy", + bus=bus, + ) + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response): + ch.send("space", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = GoogleChatChannel(webhook_url="https://chat.googleapis.com/v1/spaces/xxx/messages?key=yyy") + assert ch.list_channels() == ["google_chat"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = GoogleChatChannel(webhook_url="https://chat.googleapis.com/v1/spaces/xxx/messages?key=yyy") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_url_connect_error(self): + ch = GoogleChatChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = GoogleChatChannel(webhook_url="https://chat.googleapis.com/v1/spaces/xxx/messages?key=yyy") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = GoogleChatChannel(webhook_url="https://chat.googleapis.com/v1/spaces/xxx/messages?key=yyy") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_irc_channel.py b/tests/channels/test_irc_channel.py new file mode 100644 index 00000000..f07d7589 --- /dev/null +++ b/tests/channels/test_irc_channel.py @@ -0,0 +1,139 @@ +"""Tests for the IRCChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.irc_channel import IRCChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_irc(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("irc"): + ChannelRegistry.register_value("irc", IRCChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("irc") + + def test_channel_id(self): + ch = IRCChannel(server="irc.example.com", nick="jarvis", password="pass123") + assert ch.channel_id == "irc" + + +class TestInit: + def test_defaults(self): + ch = IRCChannel() + assert ch._server == "" + assert ch._nick == "" + assert ch._password == "" + assert ch._port == 6667 + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_params(self): + ch = IRCChannel(server="irc.example.com", nick="jarvis", password="pass123") + assert ch._server == "irc.example.com" + assert ch._nick == "jarvis" + assert ch._password == "pass123" + + def test_env_var_fallback(self): + with patch.dict(os.environ, { + "IRC_SERVER": "irc.env.com", + "IRC_NICK": "envbot", + "IRC_PASSWORD": "envpass", + "IRC_PORT": "6697", + }): + ch = IRCChannel() + assert ch._server == "irc.env.com" + assert ch._nick == "envbot" + assert ch._password == "envpass" + assert ch._port == 6697 + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, { + "IRC_SERVER": "irc.env.com", + "IRC_NICK": "envbot", + "IRC_PASSWORD": "envpass", + }): + ch = IRCChannel(server="irc.explicit.com", nick="explicit", password="explicit-pass") + assert ch._server == "irc.explicit.com" + assert ch._nick == "explicit" + assert ch._password == "explicit-pass" + + +class TestSend: + def test_send_success(self): + ch = IRCChannel(server="irc.example.com", nick="jarvis", password="pass123") + + mock_sock = MagicMock() + with patch("socket.socket", return_value=mock_sock): + result = ch.send("#channel", "Hello!") + assert result is True + mock_sock.connect.assert_called_once() + mock_sock.sendall.assert_called() + + def test_send_failure_exception(self): + ch = IRCChannel(server="irc.example.com", nick="jarvis", password="pass123") + + mock_sock = MagicMock() + mock_sock.connect.side_effect = ConnectionError("refused") + with patch("socket.socket", return_value=mock_sock): + result = ch.send("#channel", "Hello!") + assert result is False + + def test_send_no_config(self): + ch = IRCChannel() + result = ch.send("#channel", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = IRCChannel(server="irc.example.com", nick="jarvis", password="pass123", bus=bus) + + mock_sock = MagicMock() + with patch("socket.socket", return_value=mock_sock): + ch.send("#channel", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = IRCChannel(server="irc.example.com", nick="jarvis", password="pass123") + assert ch.list_channels() == ["irc"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = IRCChannel(server="irc.example.com", nick="jarvis", password="pass123") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_server_connect_error(self): + ch = IRCChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = IRCChannel(server="irc.example.com", nick="jarvis", password="pass123") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = IRCChannel(server="irc.example.com", nick="jarvis", password="pass123") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_matrix_channel.py b/tests/channels/test_matrix_channel.py new file mode 100644 index 00000000..24ec00f9 --- /dev/null +++ b/tests/channels/test_matrix_channel.py @@ -0,0 +1,140 @@ +"""Tests for the MatrixChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.matrix_channel import MatrixChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_matrix(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("matrix"): + ChannelRegistry.register_value("matrix", MatrixChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("matrix") + + def test_channel_id(self): + ch = MatrixChannel(homeserver="https://matrix.example.com", access_token="test-token") + assert ch.channel_id == "matrix" + + +class TestInit: + def test_defaults(self): + ch = MatrixChannel() + assert ch._homeserver == "" + assert ch._access_token == "" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_param(self): + ch = MatrixChannel(homeserver="https://matrix.example.com", access_token="test-token") + assert ch._homeserver == "https://matrix.example.com" + assert ch._access_token == "test-token" + + def test_env_var_fallback(self): + with patch.dict(os.environ, {"MATRIX_HOMESERVER": "https://env.example.com", "MATRIX_ACCESS_TOKEN": "env-token"}): + ch = MatrixChannel() + assert ch._homeserver == "https://env.example.com" + assert ch._access_token == "env-token" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, {"MATRIX_HOMESERVER": "https://env.example.com", "MATRIX_ACCESS_TOKEN": "env-token"}): + ch = MatrixChannel(homeserver="https://explicit.example.com", access_token="explicit-token") + assert ch._homeserver == "https://explicit.example.com" + assert ch._access_token == "explicit-token" + + +class TestSend: + def test_send_success(self): + ch = MatrixChannel(homeserver="https://matrix.example.com", access_token="test-token") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.put", return_value=mock_response) as mock_put: + result = ch.send("!room123:example.com", "Hello!") + assert result is True + mock_put.assert_called_once() + call_args = mock_put.call_args + url = call_args[0][0] + assert "/_matrix/client/v3/rooms/" in url + assert "!room123:example.com" in url + + def test_send_failure(self): + ch = MatrixChannel(homeserver="https://matrix.example.com", access_token="test-token") + + mock_response = MagicMock() + mock_response.status_code = 400 + mock_response.text = "Bad Request" + + with patch("httpx.put", return_value=mock_response): + result = ch.send("!room123:example.com", "Hello!") + assert result is False + + def test_send_exception(self): + ch = MatrixChannel(homeserver="https://matrix.example.com", access_token="test-token") + + with patch("httpx.put", side_effect=ConnectionError("refused")): + result = ch.send("!room123:example.com", "Hello!") + assert result is False + + def test_send_no_token(self): + ch = MatrixChannel() + result = ch.send("!room123:example.com", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = MatrixChannel(homeserver="https://matrix.example.com", access_token="test-token", bus=bus) + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.put", return_value=mock_response): + ch.send("!room123:example.com", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = MatrixChannel(homeserver="https://matrix.example.com", access_token="test-token") + assert ch.list_channels() == ["matrix"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = MatrixChannel(homeserver="https://matrix.example.com", access_token="test-token") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_homeserver_connect_error(self): + ch = MatrixChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = MatrixChannel(homeserver="https://matrix.example.com", access_token="test-token") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = MatrixChannel(homeserver="https://matrix.example.com", access_token="test-token") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_mattermost.py b/tests/channels/test_mattermost.py new file mode 100644 index 00000000..3ae6cc3f --- /dev/null +++ b/tests/channels/test_mattermost.py @@ -0,0 +1,153 @@ +"""Tests for the MattermostChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.mattermost import MattermostChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_mattermost(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("mattermost"): + ChannelRegistry.register_value("mattermost", MattermostChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("mattermost") + + def test_channel_id(self): + ch = MattermostChannel(url="https://mattermost.example.com", token="test-token") + assert ch.channel_id == "mattermost" + + +class TestInit: + def test_defaults(self): + ch = MattermostChannel() + assert ch._url == "" + assert ch._token == "" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_param(self): + ch = MattermostChannel(url="https://mattermost.example.com", token="test-token") + assert ch._url == "https://mattermost.example.com" + assert ch._token == "test-token" + + def test_env_var_fallback(self): + with patch.dict(os.environ, {"MATTERMOST_URL": "https://env.example.com", "MATTERMOST_TOKEN": "env-token"}): + ch = MattermostChannel() + assert ch._url == "https://env.example.com" + assert ch._token == "env-token" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, {"MATTERMOST_URL": "https://env.example.com", "MATTERMOST_TOKEN": "env-token"}): + ch = MattermostChannel(url="https://explicit.example.com", token="explicit-token") + assert ch._url == "https://explicit.example.com" + assert ch._token == "explicit-token" + + +class TestSend: + def test_send_success(self): + ch = MattermostChannel(url="https://mattermost.example.com", token="test-token") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response) as mock_post: + result = ch.send("channel-id-123", "Hello!") + assert result is True + mock_post.assert_called_once() + call_args = mock_post.call_args + url = call_args[0][0] + assert url.endswith("/api/v4/posts") + + def test_send_with_conversation_id(self): + ch = MattermostChannel(url="https://mattermost.example.com", token="test-token") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response) as mock_post: + result = ch.send("channel-id-123", "Hello!", conversation_id="root-123") + assert result is True + call_args = mock_post.call_args + payload = call_args[1]["json"] + assert "root_id" in payload + assert payload["root_id"] == "root-123" + + def test_send_failure(self): + ch = MattermostChannel(url="https://mattermost.example.com", token="test-token") + + mock_response = MagicMock() + mock_response.status_code = 400 + mock_response.text = "Bad Request" + + with patch("httpx.post", return_value=mock_response): + result = ch.send("channel-id-123", "Hello!") + assert result is False + + def test_send_exception(self): + ch = MattermostChannel(url="https://mattermost.example.com", token="test-token") + + with patch("httpx.post", side_effect=ConnectionError("refused")): + result = ch.send("channel-id-123", "Hello!") + assert result is False + + def test_send_no_token(self): + ch = MattermostChannel() + result = ch.send("channel-id-123", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = MattermostChannel(url="https://mattermost.example.com", token="test-token", bus=bus) + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response): + ch.send("channel-id-123", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = MattermostChannel(url="https://mattermost.example.com", token="test-token") + assert ch.list_channels() == ["mattermost"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = MattermostChannel(url="https://mattermost.example.com", token="test-token") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_url_connect_error(self): + ch = MattermostChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = MattermostChannel(url="https://mattermost.example.com", token="test-token") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = MattermostChannel(url="https://mattermost.example.com", token="test-token") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_openclaw_bridge.py b/tests/channels/test_openclaw_bridge.py deleted file mode 100644 index 5f41c406..00000000 --- a/tests/channels/test_openclaw_bridge.py +++ /dev/null @@ -1,432 +0,0 @@ -"""Tests for the OpenClawChannelBridge implementation.""" - -from __future__ import annotations - -import json -from unittest.mock import MagicMock, patch - -import pytest - -from openjarvis.channels._stubs import ChannelMessage, ChannelStatus -from openjarvis.channels.openclaw_bridge import OpenClawChannelBridge -from openjarvis.core.events import EventBus, EventType -from openjarvis.core.registry import ChannelRegistry - - -@pytest.fixture(autouse=True) -def _register_bridge(): - """Re-register the OpenClawChannelBridge after registry clear.""" - if not ChannelRegistry.contains("openclaw"): - ChannelRegistry.register_value("openclaw", OpenClawChannelBridge) - - -class TestInit: - def test_init_defaults(self) -> None: - bridge = OpenClawChannelBridge() - assert bridge._gateway_url == "ws://127.0.0.1:18789/ws" - assert bridge._reconnect_interval == 5.0 - assert bridge._bus is None - assert bridge._handlers == [] - assert bridge._status == ChannelStatus.DISCONNECTED - assert bridge._ws is None - - def test_init_custom_url(self) -> None: - bridge = OpenClawChannelBridge(gateway_url="ws://custom:9999/ws") - assert bridge._gateway_url == "ws://custom:9999/ws" - - def test_init_custom_reconnect(self) -> None: - bridge = OpenClawChannelBridge(reconnect_interval=10.0) - assert bridge._reconnect_interval == 10.0 - - def test_init_with_bus(self) -> None: - bus = EventBus() - bridge = OpenClawChannelBridge(bus=bus) - assert bridge._bus is bus - - def test_channel_id(self) -> None: - bridge = OpenClawChannelBridge() - assert bridge.channel_id == "openclaw" - - -class TestStatus: - def test_status_disconnected_initially(self) -> None: - bridge = OpenClawChannelBridge() - assert bridge.status() == ChannelStatus.DISCONNECTED - - -class TestConnect: - def test_connect_no_websockets(self) -> None: - """When websockets is not installed, connect uses HTTP fallback.""" - bridge = OpenClawChannelBridge() - with patch( - "openjarvis.channels.openclaw_bridge.OpenClawChannelBridge.connect", - wraps=bridge.connect, - ): - # Simulate ImportError for websockets - import builtins - original_import = builtins.__import__ - - def mock_import(name, *args, **kwargs): - if "websockets" in name: - raise ImportError("No module named 'websockets'") - return original_import(name, *args, **kwargs) - - with patch("builtins.__import__", side_effect=mock_import): - bridge.connect() - - assert bridge.status() == ChannelStatus.CONNECTED - assert bridge._ws is None - - def test_connect_websocket_success(self) -> None: - """When websockets is available, connect opens a WebSocket.""" - bridge = OpenClawChannelBridge() - mock_ws = MagicMock() - - # Manually simulate successful connect - bridge._ws = mock_ws - bridge._status = ChannelStatus.CONNECTED - - assert bridge.status() == ChannelStatus.CONNECTED - - def test_connect_connection_error(self) -> None: - """When connection fails, status is ERROR.""" - bridge = OpenClawChannelBridge() - - import builtins - original_import = builtins.__import__ - - def mock_import(name, *args, **kwargs): - if "websockets" in name: - # Allow the import but make connect fail - mod = MagicMock() - mod.sync.client.connect.side_effect = ConnectionError("refused") - return mod - return original_import(name, *args, **kwargs) - - with patch("builtins.__import__", side_effect=mock_import): - bridge.connect() - - assert bridge.status() == ChannelStatus.ERROR - - -class TestDisconnect: - def test_disconnect(self) -> None: - bridge = OpenClawChannelBridge() - # Manually set to connected state - bridge._status = ChannelStatus.CONNECTED - bridge.disconnect() - assert bridge.status() == ChannelStatus.DISCONNECTED - - def test_disconnect_closes_ws(self) -> None: - bridge = OpenClawChannelBridge() - mock_ws = MagicMock() - bridge._ws = mock_ws - bridge._status = ChannelStatus.CONNECTED - bridge.disconnect() - mock_ws.close.assert_called_once() - assert bridge._ws is None - assert bridge.status() == ChannelStatus.DISCONNECTED - - def test_disconnect_joins_listener_thread(self) -> None: - bridge = OpenClawChannelBridge() - mock_thread = MagicMock() - bridge._listener_thread = mock_thread - bridge._status = ChannelStatus.CONNECTED - bridge.disconnect() - mock_thread.join.assert_called_once() - assert bridge._listener_thread is None - - def test_disconnect_when_already_disconnected(self) -> None: - bridge = OpenClawChannelBridge() - bridge.disconnect() # Should not raise - assert bridge.status() == ChannelStatus.DISCONNECTED - - -class TestSend: - def test_send_http_fallback(self) -> None: - """When no WebSocket, send uses HTTP POST.""" - bridge = OpenClawChannelBridge() - bridge._ws = None - bridge._status = ChannelStatus.CONNECTED - - mock_response = MagicMock() - mock_response.status_code = 200 - - with patch("httpx.post", return_value=mock_response) as mock_post: - result = bridge.send("slack", "Hello!") - assert result is True - mock_post.assert_called_once() - call_args = mock_post.call_args - assert call_args[0][0] == "http://127.0.0.1:18789/send" - payload = call_args[1]["json"] - assert payload["channel"] == "slack" - assert payload["content"] == "Hello!" - - def test_send_http_failure(self) -> None: - """When HTTP POST fails, send returns False.""" - bridge = OpenClawChannelBridge() - bridge._ws = None - bridge._status = ChannelStatus.CONNECTED - - with patch("httpx.post", side_effect=ConnectionError("refused")): - result = bridge.send("slack", "Hello!") - assert result is False - - def test_send_http_bad_status(self) -> None: - """When HTTP POST returns error status, send returns False.""" - bridge = OpenClawChannelBridge() - bridge._ws = None - - mock_response = MagicMock() - mock_response.status_code = 500 - - with patch("httpx.post", return_value=mock_response): - result = bridge.send("slack", "Hello!") - assert result is False - - def test_send_via_websocket(self) -> None: - """When WebSocket is available, send via WS.""" - bridge = OpenClawChannelBridge() - mock_ws = MagicMock() - bridge._ws = mock_ws - bridge._status = ChannelStatus.CONNECTED - - result = bridge.send("slack", "Hello!", conversation_id="conv-1") - assert result is True - mock_ws.send.assert_called_once() - sent_data = json.loads(mock_ws.send.call_args[0][0]) - assert sent_data["channel"] == "slack" - assert sent_data["content"] == "Hello!" - assert sent_data["conversation_id"] == "conv-1" - - def test_send_ws_failure_falls_back_to_http(self) -> None: - """When WebSocket send fails, fallback to HTTP.""" - bridge = OpenClawChannelBridge() - mock_ws = MagicMock() - mock_ws.send.side_effect = Exception("WS error") - bridge._ws = mock_ws - - mock_response = MagicMock() - mock_response.status_code = 200 - - with patch("httpx.post", return_value=mock_response): - result = bridge.send("slack", "Hello!") - assert result is True - - def test_send_with_metadata(self) -> None: - """Metadata is included in the payload.""" - bridge = OpenClawChannelBridge() - mock_ws = MagicMock() - bridge._ws = mock_ws - - bridge.send("slack", "Hello!", metadata={"thread_ts": "123"}) - sent_data = json.loads(mock_ws.send.call_args[0][0]) - assert sent_data["metadata"] == {"thread_ts": "123"} - - def test_send_publishes_event(self) -> None: - """Successful send publishes CHANNEL_MESSAGE_SENT event.""" - bus = EventBus(record_history=True) - bridge = OpenClawChannelBridge(bus=bus) - mock_ws = MagicMock() - bridge._ws = mock_ws - - bridge.send("slack", "Hello!") - event_types = [e.event_type for e in bus.history] - assert EventType.CHANNEL_MESSAGE_SENT in event_types - - -class TestListChannels: - def test_list_channels_http(self) -> None: - """list_channels queries HTTP endpoint.""" - bridge = OpenClawChannelBridge() - - mock_response = MagicMock() - mock_response.json.return_value = ["slack", "discord", "telegram"] - - with patch("httpx.get", return_value=mock_response) as mock_get: - channels = bridge.list_channels() - assert channels == ["slack", "discord", "telegram"] - mock_get.assert_called_once() - assert "/channels" in mock_get.call_args[0][0] - - def test_list_channels_dict_response(self) -> None: - """list_channels handles dict response with 'channels' key.""" - bridge = OpenClawChannelBridge() - - mock_response = MagicMock() - mock_response.json.return_value = {"channels": ["slack", "discord"]} - - with patch("httpx.get", return_value=mock_response): - channels = bridge.list_channels() - assert channels == ["slack", "discord"] - - def test_list_channels_error(self) -> None: - """When HTTP GET fails, return empty list.""" - bridge = OpenClawChannelBridge() - - with patch("httpx.get", side_effect=ConnectionError("refused")): - channels = bridge.list_channels() - assert channels == [] - - def test_list_channels_unexpected_format(self) -> None: - """When response is not a list or dict with 'channels', return empty list.""" - bridge = OpenClawChannelBridge() - - mock_response = MagicMock() - mock_response.json.return_value = {"unexpected": "format"} - - with patch("httpx.get", return_value=mock_response): - channels = bridge.list_channels() - assert channels == [] - - -class TestOnMessage: - def test_on_message(self) -> None: - bridge = OpenClawChannelBridge() - handler = MagicMock() - bridge.on_message(handler) - assert handler in bridge._handlers - - def test_on_message_multiple_handlers(self) -> None: - bridge = OpenClawChannelBridge() - h1 = MagicMock() - h2 = MagicMock() - bridge.on_message(h1) - bridge.on_message(h2) - assert len(bridge._handlers) == 2 - assert h1 in bridge._handlers - assert h2 in bridge._handlers - - -class TestHttpUrlConversion: - def test_ws_to_http(self) -> None: - bridge = OpenClawChannelBridge(gateway_url="ws://host:1234/ws") - assert bridge._http_url("/send") == "http://host:1234/send" - - def test_wss_to_https(self) -> None: - bridge = OpenClawChannelBridge(gateway_url="wss://host:1234/ws") - assert bridge._http_url("/send") == "https://host:1234/send" - - def test_http_url_channels(self) -> None: - bridge = OpenClawChannelBridge(gateway_url="ws://127.0.0.1:18789/ws") - assert bridge._http_url("/channels") == "http://127.0.0.1:18789/channels" - - -# --------------------------------------------------------------------------- -# _listener_loop() tests -# --------------------------------------------------------------------------- - - -def _make_bridge_with_mock_ws( - msg_json: str, - *, - bus: EventBus | None = None, -) -> OpenClawChannelBridge: - """Return a bridge whose ``_ws.recv()`` returns *msg_json* once, then stops.""" - bridge = OpenClawChannelBridge(bus=bus) - bridge._status = ChannelStatus.CONNECTED - - call_count = 0 - - def mock_recv(timeout=None): - nonlocal call_count - call_count += 1 - if call_count == 1: - return msg_json - bridge._stop_event.set() - raise TimeoutError() - - mock_ws = MagicMock() - mock_ws.recv = mock_recv - bridge._ws = mock_ws - return bridge - - -_SAMPLE_MSG = json.dumps({ - "channel": "slack", - "sender": "user1", - "content": "Hello!", - "message_id": "msg-1", - "conversation_id": "conv-1", - "metadata": {}, -}) - - -class TestListenerLoop: - def test_listener_receives_and_parses_message(self) -> None: - """Listener parses incoming JSON into a ChannelMessage.""" - bridge = _make_bridge_with_mock_ws(_SAMPLE_MSG) - received: list[ChannelMessage] = [] - bridge.on_message(lambda msg: received.append(msg)) - - bridge._listener_loop() - - assert len(received) == 1 - msg = received[0] - assert isinstance(msg, ChannelMessage) - assert msg.channel == "slack" - assert msg.sender == "user1" - assert msg.content == "Hello!" - assert msg.message_id == "msg-1" - - def test_listener_invokes_all_handlers(self) -> None: - """All registered handlers are called for each message.""" - bridge = _make_bridge_with_mock_ws(_SAMPLE_MSG) - calls_a: list[ChannelMessage] = [] - calls_b: list[ChannelMessage] = [] - bridge.on_message(lambda msg: calls_a.append(msg)) - bridge.on_message(lambda msg: calls_b.append(msg)) - - bridge._listener_loop() - - assert len(calls_a) == 1 - assert len(calls_b) == 1 - - def test_listener_publishes_event(self) -> None: - """Listener publishes CHANNEL_MESSAGE_RECEIVED on the event bus.""" - bus = EventBus(record_history=True) - bridge = _make_bridge_with_mock_ws(_SAMPLE_MSG, bus=bus) - - bridge._listener_loop() - - event_types = [e.event_type for e in bus.history] - assert EventType.CHANNEL_MESSAGE_RECEIVED in event_types - recv_event = next( - e for e in bus.history - if e.event_type == EventType.CHANNEL_MESSAGE_RECEIVED - ) - assert recv_event.data["channel"] == "slack" - assert recv_event.data["sender"] == "user1" - - def test_listener_stops_on_stop_event(self) -> None: - """Listener returns immediately when _stop_event is already set.""" - bridge = OpenClawChannelBridge() - bridge._status = ChannelStatus.CONNECTED - bridge._ws = MagicMock() - bridge._stop_event.set() - - handler = MagicMock() - bridge.on_message(handler) - - # Should return immediately without calling any handler - import threading - t = threading.Thread(target=bridge._listener_loop) - t.start() - t.join(timeout=3.0) - assert not t.is_alive(), "_listener_loop did not exit in time" - handler.assert_not_called() - - def test_listener_catches_handler_exceptions(self) -> None: - """A failing handler does not prevent subsequent handlers from running.""" - bridge = _make_bridge_with_mock_ws(_SAMPLE_MSG) - second_calls: list[ChannelMessage] = [] - - def bad_handler(msg: ChannelMessage) -> None: - raise ValueError("boom") - - bridge.on_message(bad_handler) - bridge.on_message(lambda msg: second_calls.append(msg)) - - bridge._listener_loop() - - assert len(second_calls) == 1 diff --git a/tests/channels/test_signal_channel.py b/tests/channels/test_signal_channel.py new file mode 100644 index 00000000..8d8fae6e --- /dev/null +++ b/tests/channels/test_signal_channel.py @@ -0,0 +1,142 @@ +"""Tests for the SignalChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.signal_channel import SignalChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_signal(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("signal"): + ChannelRegistry.register_value("signal", SignalChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("signal") + + def test_channel_id(self): + ch = SignalChannel(api_url="http://localhost:8080", phone_number="+1234567890") + assert ch.channel_id == "signal" + + +class TestInit: + def test_defaults(self): + ch = SignalChannel() + assert ch._api_url == "" + assert ch._phone_number == "" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_params(self): + ch = SignalChannel(api_url="http://localhost:8080", phone_number="+1234567890") + assert ch._api_url == "http://localhost:8080" + assert ch._phone_number == "+1234567890" + + def test_env_var_fallback(self): + with patch.dict(os.environ, { + "SIGNAL_API_URL": "http://env-signal:8080", + "SIGNAL_PHONE_NUMBER": "+9876543210", + }): + ch = SignalChannel() + assert ch._api_url == "http://env-signal:8080" + assert ch._phone_number == "+9876543210" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, { + "SIGNAL_API_URL": "http://env-signal:8080", + "SIGNAL_PHONE_NUMBER": "+9876543210", + }): + ch = SignalChannel(api_url="http://explicit:8080", phone_number="+1111111111") + assert ch._api_url == "http://explicit:8080" + assert ch._phone_number == "+1111111111" + + +class TestSend: + def test_send_success(self): + ch = SignalChannel(api_url="http://localhost:8080", phone_number="+1234567890") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response) as mock_post: + result = ch.send("+0987654321", "Hello!") + assert result is True + mock_post.assert_called_once() + + def test_send_failure(self): + ch = SignalChannel(api_url="http://localhost:8080", phone_number="+1234567890") + + mock_response = MagicMock() + mock_response.status_code = 400 + mock_response.text = "Bad Request" + + with patch("httpx.post", return_value=mock_response): + result = ch.send("+0987654321", "Hello!") + assert result is False + + def test_send_exception(self): + ch = SignalChannel(api_url="http://localhost:8080", phone_number="+1234567890") + + with patch("httpx.post", side_effect=ConnectionError("refused")): + result = ch.send("+0987654321", "Hello!") + assert result is False + + def test_send_no_config(self): + ch = SignalChannel() + result = ch.send("+0987654321", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = SignalChannel(api_url="http://localhost:8080", phone_number="+1234567890", bus=bus) + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response): + ch.send("+0987654321", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = SignalChannel(api_url="http://localhost:8080", phone_number="+1234567890") + assert ch.list_channels() == ["signal"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = SignalChannel(api_url="http://localhost:8080", phone_number="+1234567890") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_config_connect_error(self): + ch = SignalChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = SignalChannel(api_url="http://localhost:8080", phone_number="+1234567890") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = SignalChannel(api_url="http://localhost:8080", phone_number="+1234567890") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_slack.py b/tests/channels/test_slack.py new file mode 100644 index 00000000..c1545e0a --- /dev/null +++ b/tests/channels/test_slack.py @@ -0,0 +1,170 @@ +"""Tests for the SlackChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.slack import SlackChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_slack(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("slack"): + ChannelRegistry.register_value("slack", SlackChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("slack") + + def test_channel_id(self): + ch = SlackChannel(bot_token="xoxb-test") + assert ch.channel_id == "slack" + + +class TestInit: + def test_defaults(self): + ch = SlackChannel() + assert ch._token == "" + assert ch._app_token == "" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_token(self): + ch = SlackChannel(bot_token="xoxb-my-token") + assert ch._token == "xoxb-my-token" + + def test_env_var_fallback(self): + with patch.dict(os.environ, {"SLACK_BOT_TOKEN": "xoxb-env"}): + ch = SlackChannel() + assert ch._token == "xoxb-env" + + def test_app_token_env_var(self): + with patch.dict(os.environ, {"SLACK_APP_TOKEN": "xapp-env"}): + ch = SlackChannel() + assert ch._app_token == "xapp-env" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, {"SLACK_BOT_TOKEN": "xoxb-env"}): + ch = SlackChannel(bot_token="xoxb-explicit") + assert ch._token == "xoxb-explicit" + + +class TestSend: + def test_send_success(self): + ch = SlackChannel(bot_token="xoxb-test") + + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = {"ok": True} + + with patch("httpx.post", return_value=mock_response) as mock_post: + result = ch.send("C1234567890", "Hello Slack!") + assert result is True + mock_post.assert_called_once() + call_args = mock_post.call_args + url = call_args[0][0] + assert "slack.com/api/chat.postMessage" in url + headers = call_args[1]["headers"] + assert headers["Authorization"] == "Bearer xoxb-test" + payload = call_args[1]["json"] + assert payload["channel"] == "C1234567890" + assert payload["text"] == "Hello Slack!" + + def test_send_with_thread(self): + ch = SlackChannel(bot_token="xoxb-test") + + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = {"ok": True} + + with patch("httpx.post", return_value=mock_response) as mock_post: + ch.send("C123", "Reply", conversation_id="1234567890.123456") + payload = mock_post.call_args[1]["json"] + assert payload["thread_ts"] == "1234567890.123456" + + def test_send_api_error(self): + ch = SlackChannel(bot_token="xoxb-test") + + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = {"ok": False, "error": "channel_not_found"} + + with patch("httpx.post", return_value=mock_response): + result = ch.send("C123", "Hello!") + assert result is False + + def test_send_http_failure(self): + ch = SlackChannel(bot_token="xoxb-test") + + mock_response = MagicMock() + mock_response.status_code = 500 + + with patch("httpx.post", return_value=mock_response): + result = ch.send("C123", "Hello!") + assert result is False + + def test_send_exception(self): + ch = SlackChannel(bot_token="xoxb-test") + + with patch("httpx.post", side_effect=ConnectionError("refused")): + result = ch.send("C123", "Hello!") + assert result is False + + def test_send_no_token(self): + ch = SlackChannel() + result = ch.send("C123", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = SlackChannel(bot_token="xoxb-test", bus=bus) + + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = {"ok": True} + + with patch("httpx.post", return_value=mock_response): + ch.send("C123", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = SlackChannel(bot_token="xoxb-test") + assert ch.list_channels() == ["slack"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = SlackChannel(bot_token="xoxb-test") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_token_connect_error(self): + ch = SlackChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = SlackChannel(bot_token="xoxb-test") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = SlackChannel(bot_token="xoxb-test") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_teams.py b/tests/channels/test_teams.py new file mode 100644 index 00000000..86fbce08 --- /dev/null +++ b/tests/channels/test_teams.py @@ -0,0 +1,140 @@ +"""Tests for the TeamsChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.teams import TeamsChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_teams(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("teams"): + ChannelRegistry.register_value("teams", TeamsChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("teams") + + def test_channel_id(self): + ch = TeamsChannel(app_id="test-id", app_password="test-pass") + assert ch.channel_id == "teams" + + +class TestInit: + def test_defaults(self): + ch = TeamsChannel() + assert ch._app_id == "" + assert ch._app_password == "" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_param(self): + ch = TeamsChannel(app_id="test-id", app_password="test-pass") + assert ch._app_id == "test-id" + assert ch._app_password == "test-pass" + + def test_env_var_fallback(self): + with patch.dict(os.environ, {"TEAMS_APP_ID": "env-id", "TEAMS_APP_PASSWORD": "env-pass"}): + ch = TeamsChannel() + assert ch._app_id == "env-id" + assert ch._app_password == "env-pass" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, {"TEAMS_APP_ID": "env-id", "TEAMS_APP_PASSWORD": "env-pass"}): + ch = TeamsChannel(app_id="explicit-id", app_password="explicit-pass") + assert ch._app_id == "explicit-id" + assert ch._app_password == "explicit-pass" + + +class TestSend: + def test_send_success(self): + ch = TeamsChannel(app_id="test-id", app_password="test-pass") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response) as mock_post: + result = ch.send("general", "Hello!") + assert result is True + mock_post.assert_called_once() + call_args = mock_post.call_args + url = call_args[0][0] + assert "/v3/conversations/" in url + assert "general" in url + + def test_send_failure(self): + ch = TeamsChannel(app_id="test-id", app_password="test-pass") + + mock_response = MagicMock() + mock_response.status_code = 400 + mock_response.text = "Bad Request" + + with patch("httpx.post", return_value=mock_response): + result = ch.send("general", "Hello!") + assert result is False + + def test_send_exception(self): + ch = TeamsChannel(app_id="test-id", app_password="test-pass") + + with patch("httpx.post", side_effect=ConnectionError("refused")): + result = ch.send("general", "Hello!") + assert result is False + + def test_send_no_config(self): + ch = TeamsChannel() + result = ch.send("general", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = TeamsChannel(app_id="test-id", app_password="test-pass", bus=bus) + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response): + ch.send("general", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = TeamsChannel(app_id="test-id", app_password="test-pass") + assert ch.list_channels() == ["teams"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = TeamsChannel(app_id="test-id", app_password="test-pass") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_config_connect_error(self): + ch = TeamsChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = TeamsChannel(app_id="test-id", app_password="test-pass") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = TeamsChannel(app_id="test-id", app_password="test-pass") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_telegram.py b/tests/channels/test_telegram.py new file mode 100644 index 00000000..ae01dfb8 --- /dev/null +++ b/tests/channels/test_telegram.py @@ -0,0 +1,142 @@ +"""Tests for the TelegramChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.telegram import TelegramChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_telegram(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("telegram"): + ChannelRegistry.register_value("telegram", TelegramChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("telegram") + + def test_channel_id(self): + ch = TelegramChannel(bot_token="test-token") + assert ch.channel_id == "telegram" + + +class TestInit: + def test_defaults(self): + ch = TelegramChannel() + assert ch._token == "" + assert ch._parse_mode == "Markdown" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_token(self): + ch = TelegramChannel(bot_token="my-token") + assert ch._token == "my-token" + + def test_env_var_fallback(self): + with patch.dict(os.environ, {"TELEGRAM_BOT_TOKEN": "env-token"}): + ch = TelegramChannel() + assert ch._token == "env-token" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, {"TELEGRAM_BOT_TOKEN": "env-token"}): + ch = TelegramChannel(bot_token="explicit-token") + assert ch._token == "explicit-token" + + +class TestSend: + def test_send_success(self): + ch = TelegramChannel(bot_token="123:ABC") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response) as mock_post: + result = ch.send("12345678", "Hello!") + assert result is True + mock_post.assert_called_once() + call_args = mock_post.call_args + url = call_args[0][0] + assert "api.telegram.org" in url + assert "bot123:ABC" in url + assert "sendMessage" in url + payload = call_args[1]["json"] + assert payload["chat_id"] == "12345678" + assert payload["text"] == "Hello!" + assert payload["parse_mode"] == "Markdown" + + def test_send_failure(self): + ch = TelegramChannel(bot_token="123:ABC") + + mock_response = MagicMock() + mock_response.status_code = 400 + mock_response.text = "Bad Request" + + with patch("httpx.post", return_value=mock_response): + result = ch.send("12345678", "Hello!") + assert result is False + + def test_send_exception(self): + ch = TelegramChannel(bot_token="123:ABC") + + with patch("httpx.post", side_effect=ConnectionError("refused")): + result = ch.send("12345678", "Hello!") + assert result is False + + def test_send_no_token(self): + ch = TelegramChannel() + result = ch.send("12345678", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = TelegramChannel(bot_token="123:ABC", bus=bus) + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response): + ch.send("12345678", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = TelegramChannel(bot_token="123:ABC") + assert ch.list_channels() == ["telegram"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = TelegramChannel(bot_token="123:ABC") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_token_connect_error(self): + ch = TelegramChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = TelegramChannel(bot_token="123:ABC") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = TelegramChannel(bot_token="123:ABC") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_webchat.py b/tests/channels/test_webchat.py new file mode 100644 index 00000000..ed71a5e4 --- /dev/null +++ b/tests/channels/test_webchat.py @@ -0,0 +1,103 @@ +"""Tests for the WebChatChannel adapter.""" + +from __future__ import annotations + +from unittest.mock import MagicMock + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.webchat import WebChatChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_webchat(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("webchat"): + ChannelRegistry.register_value("webchat", WebChatChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("webchat") + + def test_channel_id(self): + ch = WebChatChannel() + assert ch.channel_id == "webchat" + + +class TestInit: + def test_defaults(self): + ch = WebChatChannel() + assert ch._messages == [] + assert ch._handlers == [] + assert ch._status == ChannelStatus.DISCONNECTED + + +class TestSend: + def test_send_success(self): + ch = WebChatChannel() + result = ch.send("user", "Hello!") + assert result is True + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = WebChatChannel(bus=bus) + ch.send("user", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + def test_get_messages(self): + ch = WebChatChannel() + ch.send("user1", "Hello!") + ch.send("user2", "World!") + ch.send("user1", "Again!") + messages = ch.get_messages() + assert len(messages) == 3 + assert messages[0].content == "Hello!" + assert messages[1].content == "World!" + assert messages[2].content == "Again!" + + def test_clear_messages(self): + ch = WebChatChannel() + ch.send("user1", "Hello!") + ch.send("user2", "World!") + assert len(ch.get_messages()) == 2 + ch.clear_messages() + assert len(ch.get_messages()) == 0 + + +class TestListChannels: + def test_list_channels(self): + ch = WebChatChannel() + assert ch.list_channels() == ["webchat"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = WebChatChannel() + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_connected_after_connect(self): + ch = WebChatChannel() + ch.connect() + assert ch.status() == ChannelStatus.CONNECTED + + +class TestOnMessage: + def test_on_message(self): + ch = WebChatChannel() + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = WebChatChannel() + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_webhook.py b/tests/channels/test_webhook.py new file mode 100644 index 00000000..b231c5eb --- /dev/null +++ b/tests/channels/test_webhook.py @@ -0,0 +1,184 @@ +"""Tests for the WebhookChannel adapter.""" + +from __future__ import annotations + +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.webhook import WebhookChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_webhook(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("webhook"): + ChannelRegistry.register_value("webhook", WebhookChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("webhook") + + def test_channel_id(self): + ch = WebhookChannel(url="https://example.com/hook") + assert ch.channel_id == "webhook" + + +class TestInit: + def test_defaults(self): + ch = WebhookChannel() + assert ch._url == "" + assert ch._secret == "" + assert ch._method == "POST" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_params(self): + ch = WebhookChannel( + url="https://example.com/hook", + secret="s3cr3t", + method="PUT", + ) + assert ch._url == "https://example.com/hook" + assert ch._secret == "s3cr3t" + assert ch._method == "PUT" + + +class TestConnect: + def test_connect_with_url(self): + ch = WebhookChannel(url="https://example.com/hook") + ch.connect() + assert ch.status() == ChannelStatus.CONNECTED + + def test_connect_no_url(self): + ch = WebhookChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestSend: + def test_send_success(self): + ch = WebhookChannel(url="https://example.com/hook") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.request", return_value=mock_response) as mock_req: + result = ch.send("target", "Hello!") + assert result is True + mock_req.assert_called_once() + call_args = mock_req.call_args + assert call_args[0][0] == "POST" + assert call_args[0][1] == "https://example.com/hook" + payload = call_args[1]["json"] + assert payload["channel"] == "target" + assert payload["content"] == "Hello!" + + def test_send_put_method(self): + ch = WebhookChannel(url="https://example.com/hook", method="PUT") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.request", return_value=mock_response) as mock_req: + ch.send("target", "Hello!") + assert mock_req.call_args[0][0] == "PUT" + + def test_send_with_secret(self): + ch = WebhookChannel(url="https://example.com/hook", secret="s3cr3t") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.request", return_value=mock_response) as mock_req: + ch.send("target", "Hello!") + headers = mock_req.call_args[1]["headers"] + assert headers["X-Webhook-Secret"] == "s3cr3t" + + def test_send_without_secret(self): + ch = WebhookChannel(url="https://example.com/hook") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.request", return_value=mock_response) as mock_req: + ch.send("target", "Hello!") + headers = mock_req.call_args[1]["headers"] + assert "X-Webhook-Secret" not in headers + + def test_send_with_metadata(self): + ch = WebhookChannel(url="https://example.com/hook") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.request", return_value=mock_response) as mock_req: + ch.send("target", "Hello!", metadata={"key": "value"}) + payload = mock_req.call_args[1]["json"] + assert payload["metadata"] == {"key": "value"} + + def test_send_failure(self): + ch = WebhookChannel(url="https://example.com/hook") + + mock_response = MagicMock() + mock_response.status_code = 500 + + with patch("httpx.request", return_value=mock_response): + result = ch.send("target", "Hello!") + assert result is False + + def test_send_exception(self): + ch = WebhookChannel(url="https://example.com/hook") + + with patch("httpx.request", side_effect=ConnectionError("refused")): + result = ch.send("target", "Hello!") + assert result is False + + def test_send_no_url(self): + ch = WebhookChannel() + result = ch.send("target", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = WebhookChannel(url="https://example.com/hook", bus=bus) + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.request", return_value=mock_response): + ch.send("target", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = WebhookChannel(url="https://example.com/hook") + assert ch.list_channels() == ["webhook"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = WebhookChannel(url="https://example.com/hook") + assert ch.status() == ChannelStatus.DISCONNECTED + + +class TestOnMessage: + def test_on_message(self): + ch = WebhookChannel(url="https://example.com/hook") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = WebhookChannel(url="https://example.com/hook") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/channels/test_whatsapp.py b/tests/channels/test_whatsapp.py new file mode 100644 index 00000000..161e72da --- /dev/null +++ b/tests/channels/test_whatsapp.py @@ -0,0 +1,146 @@ +"""Tests for the WhatsAppChannel adapter.""" + +from __future__ import annotations + +import os +from unittest.mock import MagicMock, patch + +import pytest + +from openjarvis.channels._stubs import ChannelStatus +from openjarvis.channels.whatsapp import WhatsAppChannel +from openjarvis.core.events import EventBus, EventType +from openjarvis.core.registry import ChannelRegistry + + +@pytest.fixture(autouse=True) +def _register_whatsapp(): + """Re-register after any registry clear.""" + if not ChannelRegistry.contains("whatsapp"): + ChannelRegistry.register_value("whatsapp", WhatsAppChannel) + + +class TestRegistration: + def test_registry_key(self): + assert ChannelRegistry.contains("whatsapp") + + def test_channel_id(self): + ch = WhatsAppChannel(access_token="test-token", phone_number_id="12345") + assert ch.channel_id == "whatsapp" + + +class TestInit: + def test_defaults(self): + ch = WhatsAppChannel() + assert ch._token == "" + assert ch._phone_number_id == "" + assert ch._status == ChannelStatus.DISCONNECTED + + def test_constructor_token(self): + ch = WhatsAppChannel(access_token="my-token", phone_number_id="12345") + assert ch._token == "my-token" + assert ch._phone_number_id == "12345" + + def test_env_var_fallback(self): + with patch.dict(os.environ, { + "WHATSAPP_ACCESS_TOKEN": "env-token", + "WHATSAPP_PHONE_NUMBER_ID": "env-id", + }): + ch = WhatsAppChannel() + assert ch._token == "env-token" + assert ch._phone_number_id == "env-id" + + def test_constructor_overrides_env(self): + with patch.dict(os.environ, { + "WHATSAPP_ACCESS_TOKEN": "env-token", + "WHATSAPP_PHONE_NUMBER_ID": "env-id", + }): + ch = WhatsAppChannel(access_token="explicit-token", phone_number_id="explicit-id") + assert ch._token == "explicit-token" + assert ch._phone_number_id == "explicit-id" + + +class TestSend: + def test_send_success(self): + ch = WhatsAppChannel(access_token="test-token", phone_number_id="12345") + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response) as mock_post: + result = ch.send("+1234567890", "Hello!") + assert result is True + mock_post.assert_called_once() + call_args = mock_post.call_args + url = call_args[0][0] + assert "graph.facebook.com" in url + assert "12345" in url + + def test_send_failure(self): + ch = WhatsAppChannel(access_token="test-token", phone_number_id="12345") + + mock_response = MagicMock() + mock_response.status_code = 400 + mock_response.text = "Bad Request" + + with patch("httpx.post", return_value=mock_response): + result = ch.send("+1234567890", "Hello!") + assert result is False + + def test_send_exception(self): + ch = WhatsAppChannel(access_token="test-token", phone_number_id="12345") + + with patch("httpx.post", side_effect=ConnectionError("refused")): + result = ch.send("+1234567890", "Hello!") + assert result is False + + def test_send_no_token(self): + ch = WhatsAppChannel() + result = ch.send("+1234567890", "Hello!") + assert result is False + + def test_send_publishes_event(self): + bus = EventBus(record_history=True) + ch = WhatsAppChannel(access_token="test-token", phone_number_id="12345", bus=bus) + + mock_response = MagicMock() + mock_response.status_code = 200 + + with patch("httpx.post", return_value=mock_response): + ch.send("+1234567890", "Hello!") + + event_types = [e.event_type for e in bus.history] + assert EventType.CHANNEL_MESSAGE_SENT in event_types + + +class TestListChannels: + def test_list_channels(self): + ch = WhatsAppChannel(access_token="test-token", phone_number_id="12345") + assert ch.list_channels() == ["whatsapp"] + + +class TestStatus: + def test_disconnected_initially(self): + ch = WhatsAppChannel(access_token="test-token", phone_number_id="12345") + assert ch.status() == ChannelStatus.DISCONNECTED + + def test_no_token_connect_error(self): + ch = WhatsAppChannel() + ch.connect() + assert ch.status() == ChannelStatus.ERROR + + +class TestOnMessage: + def test_on_message(self): + ch = WhatsAppChannel(access_token="test-token", phone_number_id="12345") + handler = MagicMock() + ch.on_message(handler) + assert handler in ch._handlers + + +class TestDisconnect: + def test_disconnect(self): + ch = WhatsAppChannel(access_token="test-token", phone_number_id="12345") + ch._status = ChannelStatus.CONNECTED + ch.disconnect() + assert ch.status() == ChannelStatus.DISCONNECTED diff --git a/tests/cli/test_ask_agent.py b/tests/cli/test_ask_agent.py index 55c70315..31cadbc5 100644 --- a/tests/cli/test_ask_agent.py +++ b/tests/cli/test_ask_agent.py @@ -31,7 +31,6 @@ def _mock_engine(content="Hello from engine"): def _register_agents(): """Re-register agents after registry clear.""" from openjarvis.agents.custom import CustomAgent - from openjarvis.agents.openclaw import OpenClawAgent from openjarvis.agents.orchestrator import OrchestratorAgent from openjarvis.agents.simple import SimpleAgent from openjarvis.core.registry import AgentRegistry @@ -40,7 +39,6 @@ def _register_agents(): ("simple", SimpleAgent), ("orchestrator", OrchestratorAgent), ("custom", CustomAgent), - ("openclaw", OpenClawAgent), ]: if not AgentRegistry.contains(name): AgentRegistry.register_value(name, cls) diff --git a/tests/cli/test_channel_cmd.py b/tests/cli/test_channel_cmd.py index 9f9dc7b2..62ef5f97 100644 --- a/tests/cli/test_channel_cmd.py +++ b/tests/cli/test_channel_cmd.py @@ -15,9 +15,9 @@ def _patch_channel( send_return=True, status_return=ChannelStatus.DISCONNECTED, ): - """Return patches for load_config and OpenClawChannelBridge.""" + """Return patches for load_config and _get_channel.""" cfg = mock.MagicMock() - cfg.channel.gateway_url = "ws://127.0.0.1:18789/ws" + cfg.channel.default_channel = "" bridge_instance = mock.MagicMock() bridge_instance.list_channels.return_value = list_channels or [] @@ -27,11 +27,11 @@ def _patch_channel( config_patch = mock.patch( "openjarvis.core.config.load_config", return_value=cfg, ) - bridge_patch = mock.patch( - "openjarvis.channels.openclaw_bridge.OpenClawChannelBridge", + get_channel_patch = mock.patch( + "openjarvis.cli.channel_cmd._get_channel", return_value=bridge_instance, ) - return config_patch, bridge_patch, bridge_instance + return config_patch, get_channel_patch, bridge_instance class TestChannelHelp: @@ -45,24 +45,26 @@ class TestChannelHelp: class TestChannelList: def test_list_with_channels(self) -> None: - config_p, bridge_p, _ = _patch_channel(list_channels=["slack", "discord"]) - with config_p, bridge_p: + config_p, getch_p, _ = _patch_channel( + list_channels=["slack", "discord"], + ) + with config_p, getch_p: result = CliRunner().invoke(cli, ["channel", "list"]) assert result.exit_code == 0 assert "slack" in result.output assert "discord" in result.output def test_list_no_channels(self) -> None: - config_p, bridge_p, _ = _patch_channel(list_channels=[]) - with config_p, bridge_p: + config_p, getch_p, _ = _patch_channel(list_channels=[]) + with config_p, getch_p: result = CliRunner().invoke(cli, ["channel", "list"]) assert result.exit_code == 0 assert "No channels available" in result.output def test_list_connection_error(self) -> None: - config_p, bridge_p, inst = _patch_channel() + config_p, getch_p, inst = _patch_channel() inst.list_channels.side_effect = ConnectionError("refused") - with config_p, bridge_p: + with config_p, getch_p: result = CliRunner().invoke(cli, ["channel", "list"]) assert result.exit_code == 0 assert "Failed" in result.output or "refused" in result.output @@ -70,25 +72,30 @@ class TestChannelList: class TestChannelSend: def test_send_success(self) -> None: - config_p, bridge_p, _ = _patch_channel(send_return=True) - with config_p, bridge_p: - result = CliRunner().invoke(cli, ["channel", "send", "slack", "Hello!"]) + config_p, getch_p, _ = _patch_channel(send_return=True) + with config_p, getch_p: + result = CliRunner().invoke( + cli, ["channel", "send", "slack", "Hello!"], + ) assert result.exit_code == 0 assert "Message sent" in result.output def test_send_failure(self) -> None: - config_p, bridge_p, _ = _patch_channel(send_return=False) - with config_p, bridge_p: - result = CliRunner().invoke(cli, ["channel", "send", "slack", "Hello!"]) + config_p, getch_p, _ = _patch_channel(send_return=False) + with config_p, getch_p: + result = CliRunner().invoke( + cli, ["channel", "send", "slack", "Hello!"], + ) assert result.exit_code == 0 assert "Failed to send" in result.output class TestChannelStatus: def test_status_shows_info(self) -> None: - config_p, bridge_p, _ = _patch_channel(status_return=ChannelStatus.DISCONNECTED) - with config_p, bridge_p: + config_p, getch_p, _ = _patch_channel( + status_return=ChannelStatus.DISCONNECTED, + ) + with config_p, getch_p: result = CliRunner().invoke(cli, ["channel", "status"]) assert result.exit_code == 0 assert "disconnected" in result.output - assert "127.0.0.1" in result.output diff --git a/tests/core/test_config.py b/tests/core/test_config.py index 35cc782d..e96805e9 100644 --- a/tests/core/test_config.py +++ b/tests/core/test_config.py @@ -127,9 +127,7 @@ class TestChannelConfig: def test_channel_config_defaults(self) -> None: cc = ChannelConfig() assert cc.enabled is False - assert cc.gateway_url == "ws://127.0.0.1:18789/ws" assert cc.default_agent == "simple" - assert cc.reconnect_interval == 5.0 def test_channel_config_on_jarvis_config(self) -> None: cfg = JarvisConfig() @@ -138,11 +136,11 @@ class TestChannelConfig: def test_channel_config_loads_from_toml(self, tmp_path: Path) -> None: toml_file = tmp_path / "config.toml" toml_file.write_text( - '[channel]\nenabled = true\ngateway_url = "ws://custom:9999/ws"\n' + '[channel]\nenabled = true\ndefault_channel = "telegram"\n' ) cfg = load_config(toml_file) assert cfg.channel.enabled is True - assert cfg.channel.gateway_url == "ws://custom:9999/ws" + assert cfg.channel.default_channel == "telegram" def test_channel_config_in_default_toml(self) -> None: output = generate_default_toml(HardwareInfo()) diff --git a/tests/engine/test_litellm.py b/tests/engine/test_litellm.py new file mode 100644 index 00000000..78acae2a --- /dev/null +++ b/tests/engine/test_litellm.py @@ -0,0 +1,207 @@ +"""Tests for the LiteLLM engine backend.""" + +from __future__ import annotations + +from types import SimpleNamespace +from unittest import mock + +from openjarvis.core.registry import EngineRegistry +from openjarvis.core.types import Message, Role +from openjarvis.engine.litellm import LiteLLMEngine + + +class TestLiteLLMEngineHealth: + def test_health_importable(self) -> None: + fake_litellm = mock.MagicMock() + with mock.patch.dict("sys.modules", {"litellm": fake_litellm}): + engine = LiteLLMEngine() + assert engine.health() is True + + def test_health_not_importable(self) -> None: + with mock.patch.dict("sys.modules", {"litellm": None}): + engine = LiteLLMEngine() + assert engine.health() is False + + +class TestLiteLLMEngineGenerate: + def test_generate(self) -> None: + fake_usage = SimpleNamespace( + prompt_tokens=10, completion_tokens=5, total_tokens=15 + ) + fake_choice = SimpleNamespace( + message=SimpleNamespace(content="Hello!", tool_calls=None), + finish_reason="stop", + ) + fake_resp = SimpleNamespace( + choices=[fake_choice], usage=fake_usage, model="gpt-4o" + ) + + fake_litellm = mock.MagicMock() + fake_litellm.completion.return_value = fake_resp + fake_litellm.completion_cost.return_value = 0.001 + + with mock.patch.dict("sys.modules", {"litellm": fake_litellm}): + engine = LiteLLMEngine() + result = engine.generate( + [Message(role=Role.USER, content="Hi")], model="gpt-4o" + ) + + assert result["content"] == "Hello!" + assert result["usage"]["prompt_tokens"] == 10 + assert result["usage"]["completion_tokens"] == 5 + assert result["usage"]["total_tokens"] == 15 + assert result["model"] == "gpt-4o" + assert result["finish_reason"] == "stop" + assert result["cost_usd"] == 0.001 + + def test_generate_with_tools(self) -> None: + fake_tool_call = SimpleNamespace( + id="call_123", + function=SimpleNamespace( + name="calculator", + arguments='{"expression": "2+2"}', + ), + ) + fake_usage = SimpleNamespace( + prompt_tokens=20, completion_tokens=10, total_tokens=30 + ) + fake_choice = SimpleNamespace( + message=SimpleNamespace( + content="", + tool_calls=[fake_tool_call], + ), + finish_reason="tool_calls", + ) + fake_resp = SimpleNamespace( + choices=[fake_choice], usage=fake_usage, model="gpt-4o" + ) + + fake_litellm = mock.MagicMock() + fake_litellm.completion.return_value = fake_resp + fake_litellm.completion_cost.return_value = 0.002 + + tools = [ + { + "type": "function", + "function": { + "name": "calculator", + "description": "Evaluate math", + "parameters": {"type": "object", "properties": {}}, + }, + } + ] + + with mock.patch.dict("sys.modules", {"litellm": fake_litellm}): + engine = LiteLLMEngine() + result = engine.generate( + [Message(role=Role.USER, content="What is 2+2?")], + model="gpt-4o", + tools=tools, + ) + + assert "tool_calls" in result + assert len(result["tool_calls"]) == 1 + tc = result["tool_calls"][0] + assert tc["id"] == "call_123" + assert tc["type"] == "function" + assert tc["function"]["name"] == "calculator" + assert tc["function"]["arguments"] == '{"expression": "2+2"}' + + def test_generate_with_api_base(self) -> None: + fake_usage = SimpleNamespace( + prompt_tokens=5, completion_tokens=3, total_tokens=8 + ) + fake_choice = SimpleNamespace( + message=SimpleNamespace(content="Hi!", tool_calls=None), + finish_reason="stop", + ) + fake_resp = SimpleNamespace( + choices=[fake_choice], usage=fake_usage, model="custom-model" + ) + + fake_litellm = mock.MagicMock() + fake_litellm.completion.return_value = fake_resp + fake_litellm.completion_cost.return_value = 0.0 + + with mock.patch.dict("sys.modules", {"litellm": fake_litellm}): + engine = LiteLLMEngine(api_base="http://localhost:8080") + engine.generate( + [Message(role=Role.USER, content="Hi")], model="custom-model" + ) + + call_kwargs = fake_litellm.completion.call_args + assert call_kwargs[1]["api_base"] == "http://localhost:8080" + + def test_generate_cost_error_fallback(self) -> None: + fake_usage = SimpleNamespace( + prompt_tokens=10, completion_tokens=5, total_tokens=15 + ) + fake_choice = SimpleNamespace( + message=SimpleNamespace(content="Hello!", tool_calls=None), + finish_reason="stop", + ) + fake_resp = SimpleNamespace( + choices=[fake_choice], usage=fake_usage, model="unknown/model" + ) + + fake_litellm = mock.MagicMock() + fake_litellm.completion.return_value = fake_resp + fake_litellm.completion_cost.side_effect = Exception("Unknown model") + + with mock.patch.dict("sys.modules", {"litellm": fake_litellm}): + engine = LiteLLMEngine() + result = engine.generate( + [Message(role=Role.USER, content="Hi")], model="unknown/model" + ) + + assert result["cost_usd"] == 0.0 + + +class TestLiteLLMEngineStream: + def test_stream(self) -> None: + chunk1 = SimpleNamespace( + choices=[SimpleNamespace(delta=SimpleNamespace(content="Hel"))] + ) + chunk2 = SimpleNamespace( + choices=[SimpleNamespace(delta=SimpleNamespace(content="lo!"))] + ) + chunk3 = SimpleNamespace( + choices=[SimpleNamespace(delta=SimpleNamespace(content=None))] + ) + + fake_litellm = mock.MagicMock() + fake_litellm.completion.return_value = iter([chunk1, chunk2, chunk3]) + + with mock.patch.dict("sys.modules", {"litellm": fake_litellm}): + engine = LiteLLMEngine() + import asyncio + + async def collect() -> list[str]: + tokens: list[str] = [] + async for token in engine.stream( + [Message(role=Role.USER, content="Hi")], model="gpt-4o" + ): + tokens.append(token) + return tokens + + tokens = asyncio.run(collect()) + + assert tokens == ["Hel", "lo!"] + + +class TestLiteLLMEngineListModels: + def test_list_models_default(self) -> None: + engine = LiteLLMEngine() + assert engine.list_models() == [] + + def test_list_models_with_default_model(self) -> None: + engine = LiteLLMEngine(default_model="anthropic/claude-sonnet-4-20250514") + assert engine.list_models() == ["anthropic/claude-sonnet-4-20250514"] + + +class TestLiteLLMEngineRegistry: + def test_registry_key(self) -> None: + EngineRegistry.register_value("litellm", LiteLLMEngine) + assert EngineRegistry.contains("litellm") + cls = EngineRegistry.get("litellm") + assert cls is LiteLLMEngine diff --git a/tests/engine/test_llamacpp_models.py b/tests/engine/test_llamacpp_models.py index f068ed02..f097766e 100644 --- a/tests/engine/test_llamacpp_models.py +++ b/tests/engine/test_llamacpp_models.py @@ -143,7 +143,7 @@ class TestLlamaCppGenerate: return tokens import asyncio - tokens = asyncio.get_event_loop().run_until_complete(collect()) + tokens = asyncio.run(collect()) assert tokens == ["Hi", " there"] diff --git a/tests/engine/test_ollama_models.py b/tests/engine/test_ollama_models.py index 7847606b..66a6214a 100644 --- a/tests/engine/test_ollama_models.py +++ b/tests/engine/test_ollama_models.py @@ -136,7 +136,7 @@ class TestOllamaGenerate: return tokens import asyncio - tokens = asyncio.get_event_loop().run_until_complete(collect()) + tokens = asyncio.run(collect()) assert "Hello" in tokens diff --git a/tests/engine/test_vllm_models.py b/tests/engine/test_vllm_models.py index 5229daac..7ac006c9 100644 --- a/tests/engine/test_vllm_models.py +++ b/tests/engine/test_vllm_models.py @@ -144,7 +144,7 @@ class TestVLLMGenerate: return tokens import asyncio - tokens = asyncio.get_event_loop().run_until_complete(collect()) + tokens = asyncio.run(collect()) assert tokens == ["Hello", " world"] diff --git a/tests/learning/test_icl_updater.py b/tests/learning/test_icl_updater.py index 6f8cc976..0082f54c 100644 --- a/tests/learning/test_icl_updater.py +++ b/tests/learning/test_icl_updater.py @@ -122,10 +122,10 @@ class TestICLUpdaterPolicy: result = policy.update(store) assert len(result["examples"]) <= 5 - def test_is_tool_policy(self): - from openjarvis.learning._stubs import ToolLearningPolicy - assert issubclass(ICLUpdaterPolicy, ToolLearningPolicy) - assert ICLUpdaterPolicy.target == "tools" + def test_is_agent_policy(self): + from openjarvis.learning._stubs import AgentLearningPolicy + assert issubclass(ICLUpdaterPolicy, AgentLearningPolicy) + assert ICLUpdaterPolicy.target == "agent" def test_examples_property(self): policy = ICLUpdaterPolicy() diff --git a/tests/learning/test_learning_taxonomy.py b/tests/learning/test_learning_taxonomy.py index 35db4791..d827671b 100644 --- a/tests/learning/test_learning_taxonomy.py +++ b/tests/learning/test_learning_taxonomy.py @@ -8,7 +8,6 @@ from openjarvis.learning._stubs import ( AgentLearningPolicy, IntelligenceLearningPolicy, LearningPolicy, - ToolLearningPolicy, ) @@ -25,20 +24,12 @@ class TestLearningPolicyABC: with pytest.raises(TypeError): AgentLearningPolicy() - def test_cannot_instantiate_tools(self): - with pytest.raises(TypeError): - ToolLearningPolicy() - def test_target_intelligence(self): assert IntelligenceLearningPolicy.target == "intelligence" def test_target_agent(self): assert AgentLearningPolicy.target == "agent" - def test_target_tools(self): - assert ToolLearningPolicy.target == "tools" - def test_hierarchy(self): assert issubclass(IntelligenceLearningPolicy, LearningPolicy) assert issubclass(AgentLearningPolicy, LearningPolicy) - assert issubclass(ToolLearningPolicy, LearningPolicy) diff --git a/tests/learning/test_sft_policy.py b/tests/learning/test_sft_policy.py index a1d36264..ea81cec0 100644 --- a/tests/learning/test_sft_policy.py +++ b/tests/learning/test_sft_policy.py @@ -5,7 +5,7 @@ from __future__ import annotations from dataclasses import dataclass, field from typing import Optional -from openjarvis.learning.sft_policy import SFTPolicy +from openjarvis.learning.sft_policy import SFTRouterPolicy @dataclass @@ -26,9 +26,9 @@ class _MockTraceStore: return self._traces -class TestSFTPolicy: +class TestSFTRouterPolicy: def test_empty_traces(self): - policy = SFTPolicy() + policy = SFTRouterPolicy() store = _MockTraceStore([]) result = policy.update(store) assert result["updated"] is False @@ -42,7 +42,7 @@ class TestSFTPolicy: ) for i in range(6) ] - policy = SFTPolicy(min_samples=5) + policy = SFTRouterPolicy(min_samples=5) store = _MockTraceStore(traces) result = policy.update(store) assert result["updated"] is True @@ -54,29 +54,29 @@ class TestSFTPolicy: _MockTrace(query="def foo(): pass", model="code-model", outcome="success") for _ in range(3) ] - policy = SFTPolicy(min_samples=5) + policy = SFTRouterPolicy(min_samples=5) store = _MockTraceStore(traces) result = policy.update(store) assert result["updated"] is False def test_classify_code(self): - assert SFTPolicy._classify_query("def hello(): pass") == "code" + assert SFTRouterPolicy._classify_query("def hello(): pass") == "code" def test_classify_math(self): - assert SFTPolicy._classify_query("solve the integral") == "math" + assert SFTRouterPolicy._classify_query("solve the integral") == "math" def test_classify_short(self): - assert SFTPolicy._classify_query("hello world") == "short" + assert SFTRouterPolicy._classify_query("hello world") == "short" def test_classify_general(self): query = "tell me about " + " ".join(["something"] * 20) - assert SFTPolicy._classify_query(query) == "general" + assert SFTRouterPolicy._classify_query(query) == "general" def test_policy_map_property(self): - policy = SFTPolicy() + policy = SFTRouterPolicy() assert policy.policy_map == {} def test_is_intelligence_policy(self): from openjarvis.learning._stubs import IntelligenceLearningPolicy - assert issubclass(SFTPolicy, IntelligenceLearningPolicy) - assert SFTPolicy.target == "intelligence" + assert issubclass(SFTRouterPolicy, IntelligenceLearningPolicy) + assert SFTRouterPolicy.target == "intelligence" diff --git a/tests/server/test_channel_routes.py b/tests/server/test_channel_routes.py index e24c2b9a..c3da6ecd 100644 --- a/tests/server/test_channel_routes.py +++ b/tests/server/test_channel_routes.py @@ -1,4 +1,8 @@ -"""Tests for /v1/channels endpoints.""" +"""Tests for /v1/channels endpoints. + +Requires the ``[server]`` optional extra (fastapi, uvicorn, pydantic). +Skipped automatically when those packages are not installed. +""" from __future__ import annotations @@ -6,7 +10,9 @@ from unittest.mock import MagicMock import pytest -from openjarvis.channels._stubs import ChannelStatus +pytest.importorskip("fastapi", reason="openjarvis[server] not installed") + +from openjarvis.channels._stubs import ChannelStatus # noqa: E402 @pytest.fixture diff --git a/tests/test_integration.py b/tests/test_integration.py index 105fb930..64010644 100644 --- a/tests/test_integration.py +++ b/tests/test_integration.py @@ -559,59 +559,6 @@ class TestBenchmarkSuiteRunAll: assert "benchmark_name" in obj -class TestOpenClawProtocolRoundtrip: - """OpenClaw protocol serialize/deserialize roundtrip.""" - - def test_roundtrip(self): - from openjarvis.agents.openclaw_protocol import ( - MessageType, - ProtocolMessage, - deserialize, - serialize, - ) - - msg = ProtocolMessage( - type=MessageType.QUERY, - content="integration test", - metadata={"source": "test"}, - ) - line = serialize(msg) - restored = deserialize(line) - assert restored.type == MessageType.QUERY - assert restored.content == "integration test" - - -class TestOpenClawAgentE2E: - """OpenClawAgent runs with mock transport end-to-end.""" - - def test_agent_e2e(self): - from openjarvis.agents._stubs import AgentResult - from openjarvis.agents.openclaw import OpenClawAgent - from openjarvis.agents.openclaw_protocol import MessageType, ProtocolMessage - from openjarvis.agents.openclaw_transport import OpenClawTransport - from openjarvis.core.registry import AgentRegistry - - class _MockTransport(OpenClawTransport): - def send(self, msg): - return ProtocolMessage( - type=MessageType.RESPONSE, - content="E2E response", - ) - - def health(self): - return True - - def close(self): - pass - - if not AgentRegistry.contains("openclaw"): - AgentRegistry.register_value("openclaw", OpenClawAgent) - agent = OpenClawAgent(transport=_MockTransport()) - result = agent.run("Integration test query") - assert isinstance(result, AgentResult) - assert result.content == "E2E response" - - class TestFullPipeline: """Full pipeline: SDK → agent → engine → telemetry.""" diff --git a/tests/test_orchestrator_learning/__init__.py b/tests/test_orchestrator_learning/__init__.py new file mode 100644 index 00000000..d6768638 --- /dev/null +++ b/tests/test_orchestrator_learning/__init__.py @@ -0,0 +1 @@ +"""Tests for orchestrator learning infrastructure.""" diff --git a/tests/test_orchestrator_learning/test_environment.py b/tests/test_orchestrator_learning/test_environment.py new file mode 100644 index 00000000..d2e580c9 --- /dev/null +++ b/tests/test_orchestrator_learning/test_environment.py @@ -0,0 +1,128 @@ +"""Tests for orchestrator RL environment.""" + +from __future__ import annotations + +import pytest + +from openjarvis.core.types import ToolResult +from openjarvis.learning.orchestrator.environment import ( + OrchestratorEnvironment, +) +from openjarvis.learning.orchestrator.types import OrchestratorAction +from openjarvis.tools._stubs import BaseTool, ToolSpec + +# -- Mock tool --------------------------------------------------------------- + + +class _MockCalculator(BaseTool): + tool_id = "calculator" + + @property + def spec(self) -> ToolSpec: + return ToolSpec( + name="calculator", + description="mock calculator", + parameters={ + "type": "object", + "properties": { + "expression": { + "type": "string", + "description": "math expression", + }, + }, + }, + ) + + def execute(self, **params) -> ToolResult: + expr = params.get("expression", "") + try: + result = str(eval(expr)) # noqa: S307 + except Exception as e: + return ToolResult( + tool_name="calculator", + content=f"Error: {e}", + success=False, + ) + return ToolResult( + tool_name="calculator", + content=result, + success=True, + ) + + +# -- Tests ------------------------------------------------------------------- + + +class TestOrchestratorEnvironment: + def test_reset_creates_clean_state(self): + env = OrchestratorEnvironment(tools=[_MockCalculator()]) + state = env.reset("What is 2+2?") + assert state.initial_prompt == "What is 2+2?" + assert state.num_turns() == 0 + assert state.final_answer is None + + def test_step_executes_tool(self): + env = OrchestratorEnvironment(tools=[_MockCalculator()]) + state = env.reset("q") + action = OrchestratorAction( + thought="calc", + tool_name="calculator", + tool_input="2+2", + ) + state, obs = env.step(state, action) + assert state.num_turns() == 1 + assert obs.latency_seconds >= 0 + + def test_is_done_on_final_answer(self): + env = OrchestratorEnvironment(tools=[_MockCalculator()]) + state = env.reset("q") + action = OrchestratorAction( + thought="done", + tool_name="calculator", + tool_input="2+2", + is_final_answer=True, + ) + state, obs = env.step(state, action) + assert env.is_done(state) is True + + def test_is_done_on_max_turns(self): + env = OrchestratorEnvironment( + tools=[_MockCalculator()], max_turns=2 + ) + state = env.reset("q") + for _ in range(2): + action = OrchestratorAction( + thought="go", tool_name="calculator", tool_input="1+1" + ) + state, obs = env.step(state, action) + assert env.is_done(state) is True + + def test_invalid_tool_raises(self): + env = OrchestratorEnvironment(tools=[_MockCalculator()]) + state = env.reset("q") + action = OrchestratorAction( + thought="t", tool_name="nonexistent", tool_input="x" + ) + with pytest.raises(ValueError, match="not available"): + env.step(state, action) + + def test_max_turns_exceeded_raises(self): + env = OrchestratorEnvironment( + tools=[_MockCalculator()], max_turns=1 + ) + state = env.reset("q") + action = OrchestratorAction( + thought="go", tool_name="calculator", tool_input="1+1" + ) + state, _ = env.step(state, action) + with pytest.raises(ValueError, match="exceeded"): + env.step(state, action) + + def test_get_available_tools(self): + env = OrchestratorEnvironment(tools=[_MockCalculator()]) + assert env.get_available_tools() == ["calculator"] + + def test_not_done_initially(self): + env = OrchestratorEnvironment(tools=[_MockCalculator()]) + state = env.reset("q") + assert env.is_done(state) is False diff --git a/tests/test_orchestrator_learning/test_grpo_trainer.py b/tests/test_orchestrator_learning/test_grpo_trainer.py new file mode 100644 index 00000000..cb4a2db0 --- /dev/null +++ b/tests/test_orchestrator_learning/test_grpo_trainer.py @@ -0,0 +1,102 @@ +"""Tests for orchestrator GRPO trainer.""" + +from __future__ import annotations + +from openjarvis.learning.orchestrator.grpo_trainer import ( + OrchestratorGRPOConfig, +) +from openjarvis.learning.orchestrator.types import Episode + + +class TestOrchestratorGRPOConfig: + def test_defaults(self): + cfg = OrchestratorGRPOConfig() + assert cfg.model_name == "Qwen/Qwen3-1.7B" + assert cfg.num_epochs == 10 + assert cfg.batch_size == 16 + assert cfg.num_samples_per_prompt == 8 + assert cfg.kl_coef == 0.0001 + assert cfg.clip_ratio == 0.2 + assert cfg.gradient_checkpointing is True + assert cfg.use_8bit_ref is True + + def test_custom_values(self): + cfg = OrchestratorGRPOConfig( + model_name="test-model", + num_samples_per_prompt=4, + kl_coef=0.01, + ) + assert cfg.model_name == "test-model" + assert cfg.num_samples_per_prompt == 4 + assert cfg.kl_coef == 0.01 + + def test_default_tools(self): + cfg = OrchestratorGRPOConfig() + assert "calculator" in cfg.available_tools + assert "think" in cfg.available_tools + + +class TestGroupAdvantageNormalization: + """Test the math behind group-relative advantage normalization.""" + + def test_uniform_rewards_zero_advantages(self): + rewards = [0.5, 0.5, 0.5, 0.5] + mean_r = sum(rewards) / len(rewards) + std_r = (sum((r - mean_r) ** 2 for r in rewards) / len(rewards)) ** 0.5 + # All same → std=0 → advantages should be 0 + assert std_r < 1e-8 + advantages = [0.0] * len(rewards) + assert all(a == 0.0 for a in advantages) + + def test_varied_rewards_normalized(self): + rewards = [0.1, 0.3, 0.5, 0.7] + mean_r = sum(rewards) / len(rewards) + std_r = (sum((r - mean_r) ** 2 for r in rewards) / len(rewards)) ** 0.5 + advantages = [(r - mean_r) / std_r for r in rewards] + # Mean of advantages should be ~0 + assert abs(sum(advantages) / len(advantages)) < 1e-6 + # Std should be ~1 + adv_mean = sum(advantages) / len(advantages) + adv_std = ( + sum((a - adv_mean) ** 2 for a in advantages) / len(advantages) + ) ** 0.5 + assert abs(adv_std - 1.0) < 1e-6 + + def test_best_gets_positive_advantage(self): + rewards = [0.1, 0.9, 0.3, 0.5] + mean_r = sum(rewards) / len(rewards) + std_r = (sum((r - mean_r) ** 2 for r in rewards) / len(rewards)) ** 0.5 + advantages = [(r - mean_r) / std_r for r in rewards] + # Index 1 (reward=0.9) should have highest advantage + assert advantages[1] == max(advantages) + assert advantages[1] > 0 + + +class TestRewardIntegration: + def test_episode_reward(self): + from openjarvis.learning.orchestrator.reward import ( + MultiObjectiveReward, + Normalizers, + RewardWeights, + ) + + reward_fn = MultiObjectiveReward(RewardWeights(), Normalizers()) + ep = Episode( + task_id="t", + initial_prompt="q", + correct=True, + total_energy_joules=10.0, + total_cost_usd=0.01, + total_latency_seconds=1.0, + max_power_watts=50.0, + ) + r = reward_fn.compute(ep) + assert isinstance(r, float) + assert r > 0 # correct episode + + +class TestGRPORegistration: + def test_registered_in_learning_registry(self): + import openjarvis.learning.orchestrator.grpo_trainer # noqa: F401 + from openjarvis.core.registry import LearningRegistry + assert LearningRegistry.contains("orchestrator_grpo") diff --git a/tests/test_orchestrator_learning/test_orchestrator_structured.py b/tests/test_orchestrator_learning/test_orchestrator_structured.py new file mode 100644 index 00000000..d96ef7bb --- /dev/null +++ b/tests/test_orchestrator_learning/test_orchestrator_structured.py @@ -0,0 +1,181 @@ +"""Tests for OrchestratorAgent structured mode.""" + +from __future__ import annotations + +from openjarvis.agents.orchestrator import OrchestratorAgent +from openjarvis.core.types import ToolResult +from openjarvis.engine._stubs import InferenceEngine +from openjarvis.tools._stubs import BaseTool, ToolSpec + +# -- Mocks ------------------------------------------------------------------- + + +class _MockEngine(InferenceEngine): + """Engine that returns pre-scripted responses.""" + + engine_id = "mock" + + def __init__(self, responses: list[str]) -> None: + self._responses = list(responses) + self._call_idx = 0 + + def generate(self, messages, **kwargs) -> dict: + if self._call_idx < len(self._responses): + content = self._responses[self._call_idx] + self._call_idx += 1 + else: + content = "FINAL_ANSWER: fallback" + return {"content": content} + + def stream(self, messages, **kwargs): + raise NotImplementedError + + def list_models(self): + return [] + + def health(self) -> bool: + return True + + +class _MockTool(BaseTool): + tool_id = "calculator" + + @property + def spec(self) -> ToolSpec: + return ToolSpec( + name="calculator", + description="A calculator", + parameters={ + "type": "object", + "properties": { + "expression": {"type": "string"}, + }, + }, + ) + + def execute(self, **params) -> ToolResult: + expr = params.get("expression", "") + return ToolResult( + tool_name="calculator", content=str(expr), success=True + ) + + +# -- Tests ------------------------------------------------------------------- + + +class TestStructuredMode: + def test_thought_tool_input_then_final_answer(self): + """Test full structured loop: TOOL call -> FINAL_ANSWER.""" + engine = _MockEngine([ + "THOUGHT: I need to calculate\nTOOL: calculator\nINPUT: 2+2", + "THOUGHT: Got result\nFINAL_ANSWER: 4", + ]) + agent = OrchestratorAgent( + engine=engine, + model="test", + tools=[_MockTool()], + mode="structured", + ) + result = agent.run("What is 2+2?") + assert result.content == "4" + assert result.turns == 2 + assert len(result.tool_results) == 1 + + def test_direct_final_answer(self): + """Test that FINAL_ANSWER on first turn works.""" + engine = _MockEngine([ + "THOUGHT: Easy\nFINAL_ANSWER: Paris", + ]) + agent = OrchestratorAgent( + engine=engine, + model="test", + tools=[_MockTool()], + mode="structured", + ) + result = agent.run("Capital of France?") + assert result.content == "Paris" + assert result.turns == 1 + assert len(result.tool_results) == 0 + + def test_no_tool_no_final_treats_as_answer(self): + """If neither TOOL nor FINAL_ANSWER found, treat content as answer.""" + engine = _MockEngine(["Just a plain response with no format"]) + agent = OrchestratorAgent( + engine=engine, + model="test", + tools=[_MockTool()], + mode="structured", + ) + result = agent.run("Hello") + assert result.content == "Just a plain response with no format" + assert result.turns == 1 + + def test_max_turns(self): + """Test that max_turns terminates the loop.""" + # Always returns a tool call, never a final answer + responses = [ + "THOUGHT: calc\nTOOL: calculator\nINPUT: 1+1", + ] * 5 + engine = _MockEngine(responses) + agent = OrchestratorAgent( + engine=engine, + model="test", + tools=[_MockTool()], + mode="structured", + max_turns=3, + ) + result = agent.run("loop forever") + assert result.turns == 3 + assert result.metadata.get("max_turns_exceeded") is True + + def test_custom_system_prompt(self): + """Test that custom system_prompt is used.""" + engine = _MockEngine(["FINAL_ANSWER: ok"]) + agent = OrchestratorAgent( + engine=engine, + model="test", + tools=[_MockTool()], + mode="structured", + system_prompt="Custom prompt here", + ) + result = agent.run("test") + assert result.content == "ok" + + +class TestFunctionCallingModeUnchanged: + """Ensure function_calling mode still works as before.""" + + def test_default_mode(self): + engine = _MockEngine(["Hello back"]) + agent = OrchestratorAgent( + engine=engine, + model="test", + ) + # Default mode should be function_calling + assert agent._mode == "function_calling" + result = agent.run("Hello") + assert result.content == "Hello back" + + +class TestParseStructuredResponse: + def test_parse_thought_tool_input(self): + parsed = OrchestratorAgent._parse_structured_response( + "THOUGHT: reasoning\nTOOL: calculator\nINPUT: 2+2" + ) + assert parsed["thought"] == "reasoning" + assert parsed["tool"] == "calculator" + assert parsed["input"] == "2+2" + assert parsed["final_answer"] == "" + + def test_parse_final_answer(self): + parsed = OrchestratorAgent._parse_structured_response( + "THOUGHT: done\nFINAL_ANSWER: 42" + ) + assert parsed["final_answer"] == "42" + assert parsed["thought"] == "done" + + def test_parse_empty(self): + parsed = OrchestratorAgent._parse_structured_response("") + assert parsed["thought"] == "" + assert parsed["tool"] == "" + assert parsed["final_answer"] == "" diff --git a/tests/test_orchestrator_learning/test_policy_model.py b/tests/test_orchestrator_learning/test_policy_model.py new file mode 100644 index 00000000..4bdbc741 --- /dev/null +++ b/tests/test_orchestrator_learning/test_policy_model.py @@ -0,0 +1,127 @@ +"""Tests for orchestrator policy model.""" + +from __future__ import annotations + +import pytest + +from openjarvis.learning.orchestrator.policy_model import ( + OrchestratorPolicyModel, +) +from openjarvis.learning.orchestrator.types import ( + EpisodeState, + OrchestratorAction, + OrchestratorObservation, +) + + +class TestParseOutput: + """Test _parse_output without loading a real model.""" + + def _model(self) -> OrchestratorPolicyModel: + return OrchestratorPolicyModel() + + def test_valid_thought_tool_input(self): + m = self._model() + text = ( + "THOUGHT: I need to calculate 2+2\n" + "TOOL: calculator\n" + "INPUT: 2+2" + ) + po = m._parse_output(text, ["calculator", "think"]) + assert po.thought == "I need to calculate 2+2" + assert po.tool_name == "calculator" + assert po.tool_input == "2+2" + assert po.is_final_answer is False + + def test_final_answer(self): + m = self._model() + text = ( + "THOUGHT: I have the result\n" + "FINAL_ANSWER: 42" + ) + po = m._parse_output(text, ["calculator"]) + assert po.is_final_answer is True + assert po.tool_input == "42" + + def test_final_answer_with_space(self): + m = self._model() + text = "FINAL ANSWER: the result is 7" + po = m._parse_output(text, ["calculator"]) + assert po.is_final_answer is True + + def test_missing_fields_fallback(self): + m = self._model() + text = "just some random output" + po = m._parse_output(text, ["calculator", "think"]) + # Should fallback to first available tool + assert po.tool_name == "calculator" + assert po.thought == "No thought provided" + + def test_invalid_tool_name_fallback(self): + m = self._model() + text = "THOUGHT: reason\nTOOL: nonexistent_tool\nINPUT: hello" + po = m._parse_output(text, ["calculator", "think"]) + assert po.tool_name == "calculator" # fallback + + def test_case_insensitive_tool_match(self): + m = self._model() + text = "THOUGHT: reason\nTOOL: Calculator\nINPUT: 5+5" + po = m._parse_output(text, ["calculator", "think"]) + assert po.tool_name == "calculator" + + def test_empty_tools_list(self): + m = self._model() + text = "THOUGHT: reason\nTOOL: calc\nINPUT: 1" + po = m._parse_output(text, []) + assert po.tool_name == "unknown" + + +class TestBuildPrompt: + def test_includes_task(self): + m = OrchestratorPolicyModel() + state = EpisodeState(initial_prompt="What is 2+2?") + prompt = m._build_prompt(state, ["calculator"]) + assert "What is 2+2?" in prompt + + def test_includes_tools(self): + m = OrchestratorPolicyModel() + state = EpisodeState(initial_prompt="q") + prompt = m._build_prompt(state, ["calculator", "think"]) + assert "calculator" in prompt + assert "think" in prompt + + def test_includes_history(self): + m = OrchestratorPolicyModel() + state = EpisodeState(initial_prompt="q") + action = OrchestratorAction( + thought="use calc", tool_name="calculator", tool_input="2+2" + ) + obs = OrchestratorObservation(content="4") + state.add_turn(action, obs) + prompt = m._build_prompt(state, ["calculator"]) + assert "Turn 1:" in prompt + assert "use calc" in prompt + + def test_format_instructions(self): + m = OrchestratorPolicyModel() + state = EpisodeState(initial_prompt="q") + prompt = m._build_prompt(state, ["calculator"]) + assert "THOUGHT:" in prompt + assert "TOOL:" in prompt + assert "INPUT:" in prompt + + +class TestPredictActionRequiresModel: + def test_raises_without_model(self): + m = OrchestratorPolicyModel() + state = EpisodeState(initial_prompt="q") + with pytest.raises(RuntimeError, match="Cannot generate"): + m.predict_action(state, ["calculator"]) + + +class TestRepr: + def test_repr(self): + m = OrchestratorPolicyModel() + r = repr(m) + assert "OrchestratorPolicyModel" in r + assert "None" in r diff --git a/tests/test_orchestrator_learning/test_prompt_registry.py b/tests/test_orchestrator_learning/test_prompt_registry.py new file mode 100644 index 00000000..41af766b --- /dev/null +++ b/tests/test_orchestrator_learning/test_prompt_registry.py @@ -0,0 +1,71 @@ +"""Tests for orchestrator prompt registry.""" + +from __future__ import annotations + +from openjarvis.learning.orchestrator.prompt_registry import ( + TOOL_DESCRIPTIONS, + build_system_prompt, +) + + +class TestToolDescriptions: + def test_calculator_present(self): + assert "calculator" in TOOL_DESCRIPTIONS + + def test_think_present(self): + assert "think" in TOOL_DESCRIPTIONS + + def test_each_has_category(self): + for name, info in TOOL_DESCRIPTIONS.items(): + assert "category" in info, f"{name} missing category" + + def test_each_has_description(self): + for name, info in TOOL_DESCRIPTIONS.items(): + assert "description" in info, f"{name} missing description" + assert len(info["description"]) > 10 + + +class TestBuildSystemPrompt: + def test_includes_tool_descriptions(self): + prompt = build_system_prompt(["calculator", "think"]) + assert "calculator" in prompt.lower() + assert "think" in prompt.lower() + + def test_includes_response_format(self): + prompt = build_system_prompt(["calculator"]) + assert "THOUGHT:" in prompt + assert "TOOL:" in prompt + assert "INPUT:" in prompt + assert "FINAL_ANSWER:" in prompt + + def test_includes_guide_sections(self): + prompt = build_system_prompt( + ["calculator", "think", "code_interpreter", "web_search"] + ) + assert "MATH PROBLEMS:" in prompt + assert "CODING TASKS:" in prompt + assert "REASONING/LOGIC:" in prompt + + def test_with_single_tool(self): + prompt = build_system_prompt(["calculator"]) + assert "calculator" in prompt + + def test_default_all_tools(self): + prompt = build_system_prompt() + for name in TOOL_DESCRIPTIONS: + assert name in prompt + + def test_unknown_tool_handled(self): + prompt = build_system_prompt(["calculator", "custom_tool_xyz"]) + assert "custom_tool_xyz" in prompt + + def test_with_memory_tools(self): + prompt = build_system_prompt( + ["calculator", "memory_search", "memory_store"] + ) + assert "memory_search" in prompt + + def test_with_llm_tool(self): + prompt = build_system_prompt(["calculator", "llm"]) + assert "llm" in prompt.lower() + assert "REASONING" in prompt diff --git a/tests/test_orchestrator_learning/test_reward.py b/tests/test_orchestrator_learning/test_reward.py new file mode 100644 index 00000000..a4c03115 --- /dev/null +++ b/tests/test_orchestrator_learning/test_reward.py @@ -0,0 +1,143 @@ +"""Tests for orchestrator multi-objective reward.""" + +from __future__ import annotations + +import pytest + +from openjarvis.learning.orchestrator.reward import ( + AdaptiveRewardWeights, + MultiObjectiveReward, + Normalizers, + RewardWeights, +) +from openjarvis.learning.orchestrator.types import ( + Episode, +) + + +class TestRewardWeights: + def test_default_sum(self): + w = RewardWeights() + total = w.alpha + w.beta_cost + w.beta_energy + w.gamma_latency + w.gamma_power + assert abs(total - 1.0) < 0.01 + + def test_invalid_sum_raises(self): + with pytest.raises(ValueError, match="sum to 1.0"): + RewardWeights(alpha=0.9, beta_cost=0.5) + + def test_custom_weights(self): + w = RewardWeights( + alpha=0.5, + beta_cost=0.1, + beta_energy=0.1, + gamma_latency=0.2, + gamma_power=0.1, + ) + assert w.alpha == 0.5 + + +class TestMultiObjectiveReward: + def _make_episode(self, correct: bool = True) -> Episode: + ep = Episode( + task_id="t", + initial_prompt="q", + ground_truth="4", + final_answer="4" if correct else "5", + correct=correct, + total_energy_joules=50.0, + total_cost_usd=0.05, + total_latency_seconds=15.0, + max_power_watts=100.0, + ) + return ep + + def test_correct_episode_positive(self): + reward_fn = MultiObjectiveReward(RewardWeights(), Normalizers()) + ep = self._make_episode(correct=True) + r = reward_fn.compute(ep) + assert r > 0, "Correct episode should have positive reward" + + def test_incorrect_episode_negative(self): + reward_fn = MultiObjectiveReward(RewardWeights(), Normalizers()) + ep = self._make_episode(correct=False) + r = reward_fn.compute(ep) + assert r < 0, "Incorrect episode should have negative reward" + + def test_correct_better_than_incorrect(self): + reward_fn = MultiObjectiveReward(RewardWeights(), Normalizers()) + correct = reward_fn.compute(self._make_episode(correct=True)) + incorrect = reward_fn.compute(self._make_episode(correct=False)) + assert correct > incorrect + + def test_compute_with_breakdown(self): + reward_fn = MultiObjectiveReward(RewardWeights(), Normalizers()) + ep = self._make_episode(correct=True) + bd = reward_fn.compute_with_breakdown(ep) + assert "total_reward" in bd + assert "accuracy_reward" in bd + assert bd["accuracy_reward"] == 1.0 + assert bd["cost_penalty"] > 0 + assert bd["energy_penalty"] > 0 + assert "ipj" in bd + + def test_compute_batch(self): + reward_fn = MultiObjectiveReward(RewardWeights(), Normalizers()) + episodes = [ + self._make_episode(correct=True), + self._make_episode(correct=False), + ] + rewards = reward_fn.compute_batch(episodes) + assert len(rewards) == 2 + assert rewards[0] > rewards[1] + + def test_zero_cost_episode(self): + reward_fn = MultiObjectiveReward(RewardWeights(), Normalizers()) + ep = Episode( + task_id="t", + initial_prompt="q", + correct=True, + total_energy_joules=0.0, + total_cost_usd=0.0, + total_latency_seconds=0.0, + max_power_watts=0.0, + ) + r = reward_fn.compute(ep) + # Only accuracy component, no penalties + assert r == pytest.approx(RewardWeights().alpha) + + +class TestAdaptiveRewardWeights: + def test_at_zero_progress(self): + adaptive = AdaptiveRewardWeights(total_steps=10000) + w = adaptive.get_weights(0) + total = w.alpha + w.beta_cost + w.beta_energy + w.gamma_latency + w.gamma_power + assert abs(total - 1.0) < 0.01 + # At step 0, alpha should be close to initial (highest) + assert w.alpha > 0.5 + + def test_at_fifty_percent(self): + adaptive = AdaptiveRewardWeights(total_steps=10000) + w = adaptive.get_weights(5000) + total = w.alpha + w.beta_cost + w.beta_energy + w.gamma_latency + w.gamma_power + assert abs(total - 1.0) < 0.01 + + def test_at_hundred_percent(self): + adaptive = AdaptiveRewardWeights(total_steps=10000) + w = adaptive.get_weights(10000) + total = w.alpha + w.beta_cost + w.beta_energy + w.gamma_latency + w.gamma_power + assert abs(total - 1.0) < 0.01 + # At step 10000, alpha should be lower + w0 = adaptive.get_weights(0) + assert w.alpha < w0.alpha + + def test_alpha_decreases(self): + adaptive = AdaptiveRewardWeights(total_steps=1000) + w_start = adaptive.get_weights(0) + w_end = adaptive.get_weights(1000) + assert w_start.alpha > w_end.alpha + + def test_beyond_total_steps_clamped(self): + adaptive = AdaptiveRewardWeights(total_steps=100) + w = adaptive.get_weights(200) + total = w.alpha + w.beta_cost + w.beta_energy + w.gamma_latency + w.gamma_power + assert abs(total - 1.0) < 0.01 diff --git a/tests/test_orchestrator_learning/test_sft_trainer.py b/tests/test_orchestrator_learning/test_sft_trainer.py new file mode 100644 index 00000000..0e5a2361 --- /dev/null +++ b/tests/test_orchestrator_learning/test_sft_trainer.py @@ -0,0 +1,131 @@ +"""Tests for orchestrator SFT trainer.""" + +from __future__ import annotations + +from unittest.mock import MagicMock + +from openjarvis.learning.orchestrator.sft_trainer import ( + OrchestratorSFTConfig, + OrchestratorSFTDataset, +) + + +class TestOrchestratorSFTConfig: + def test_defaults(self): + cfg = OrchestratorSFTConfig() + assert cfg.model_name == "Qwen/Qwen3-1.7B" + assert cfg.num_epochs == 3 + assert cfg.batch_size == 8 + assert cfg.learning_rate == 2e-5 + assert cfg.max_seq_length == 4096 + assert cfg.gradient_checkpointing is True + + def test_custom_values(self): + cfg = OrchestratorSFTConfig( + model_name="test-model", + num_epochs=5, + batch_size=16, + ) + assert cfg.model_name == "test-model" + assert cfg.num_epochs == 5 + assert cfg.batch_size == 16 + + def test_default_tools(self): + cfg = OrchestratorSFTConfig() + assert "calculator" in cfg.available_tools + assert "think" in cfg.available_tools + + +class TestOrchestratorSFTDataset: + def test_empty_on_missing_file(self): + tok = MagicMock() + ds = OrchestratorSFTDataset( + trace_path="/nonexistent/path.jsonl", + tokenizer=tok, + ) + assert len(ds) == 0 + + def test_format_conversation_fallback(self, tmp_path): + """Test manual formatting when tokenizer has no chat template.""" + import json + + trace_file = tmp_path / "traces.jsonl" + trace = { + "conversations": [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi there"}, + ], + } + trace_file.write_text(json.dumps(trace) + "\n") + + tok = MagicMock() + tok.eos_token = "" + del tok.apply_chat_template # no chat template + + ds = OrchestratorSFTDataset( + trace_path=str(trace_file), + tokenizer=tok, + ) + assert len(ds) == 1 + + text = ds._format_conversation(trace["conversations"]) + assert "<|user|>" in text + assert "Hello" in text + assert "<|assistant|>" in text + assert "Hi there" in text + assert text.endswith("") + + def test_format_tool_message(self): + tok = MagicMock() + tok.eos_token = "" + del tok.apply_chat_template + + ds = OrchestratorSFTDataset( + trace_path="/nonexistent", + tokenizer=tok, + ) + convs = [ + {"role": "tool", "name": "calculator", "content": "42"}, + ] + text = ds._format_conversation(convs) + assert "calculator" in text + assert "42" in text + + def test_iter_batches(self, tmp_path): + import json + + trace_file = tmp_path / "traces.jsonl" + traces = [] + for i in range(5): + traces.append({ + "conversations": [ + {"role": "user", "content": f"q{i}"}, + {"role": "assistant", "content": f"a{i}"}, + ] + }) + trace_file.write_text( + "\n".join(json.dumps(t) for t in traces) + "\n" + ) + + tok = MagicMock() + tok.eos_token = "" + del tok.apply_chat_template + tok.return_value = { + "input_ids": MagicMock(), + "attention_mask": MagicMock(), + } + + ds = OrchestratorSFTDataset( + trace_path=str(trace_file), + tokenizer=tok, + ) + batches = list(ds.iter_batches(batch_size=2)) + assert len(batches) == 3 # 2+2+1 + + +class TestSFTRegistration: + def test_registered_in_learning_registry(self): + # Import to trigger registration + import openjarvis.learning.orchestrator.sft_trainer # noqa: F401 + from openjarvis.core.registry import LearningRegistry + assert LearningRegistry.contains("orchestrator_sft") diff --git a/tests/test_orchestrator_learning/test_types.py b/tests/test_orchestrator_learning/test_types.py new file mode 100644 index 00000000..f1079626 --- /dev/null +++ b/tests/test_orchestrator_learning/test_types.py @@ -0,0 +1,244 @@ +"""Tests for orchestrator learning types.""" + +from __future__ import annotations + +import pytest + +from openjarvis.learning.orchestrator.types import ( + Episode, + EpisodeState, + OrchestratorAction, + OrchestratorObservation, + PolicyOutput, + extract_answer, + grade_answer, + normalize_number, +) + + +class TestOrchestratorAction: + def test_create(self): + a = OrchestratorAction( + thought="use calc", tool_name="calculator", tool_input="2+2" + ) + assert a.thought == "use calc" + assert a.tool_name == "calculator" + assert a.tool_input == "2+2" + assert a.is_final_answer is False + + def test_final_answer(self): + a = OrchestratorAction( + thought="done", + tool_name="", + tool_input="42", + is_final_answer=True, + ) + assert a.is_final_answer is True + + +class TestOrchestratorObservation: + def test_create(self): + o = OrchestratorObservation( + content="4", + latency_seconds=0.1, + cost_usd=0.01, + energy_joules=5.0, + power_watts=100.0, + tokens=10, + ) + assert o.content == "4" + assert o.latency_seconds == 0.1 + assert o.tokens == 10 + + def test_defaults(self): + o = OrchestratorObservation(content="ok") + assert o.latency_seconds == 0.0 + assert o.cost_usd == 0.0 + assert o.energy_joules == 0.0 + assert o.power_watts == 0.0 + assert o.tokens == 0 + + +class TestEpisode: + def _make_episode(self) -> Episode: + ep = Episode( + task_id="t1", + initial_prompt="What is 2+2?", + ground_truth="4", + ) + action = OrchestratorAction( + thought="calc", tool_name="calculator", tool_input="2+2" + ) + obs = OrchestratorObservation( + content="4", + latency_seconds=0.5, + cost_usd=0.01, + energy_joules=10.0, + power_watts=50.0, + tokens=5, + ) + ep.add_step(action, obs) + return ep + + def test_add_step_updates_aggregates(self): + ep = self._make_episode() + assert ep.num_turns() == 1 + assert ep.total_latency_seconds == 0.5 + assert ep.total_cost_usd == 0.01 + assert ep.total_energy_joules == 10.0 + assert ep.max_power_watts == 50.0 + assert ep.total_tokens == 5 + + def test_add_step_max_power(self): + ep = self._make_episode() + action2 = OrchestratorAction( + thought="again", tool_name="calc", tool_input="3+3" + ) + obs2 = OrchestratorObservation( + content="6", power_watts=200.0, energy_joules=5.0 + ) + ep.add_step(action2, obs2) + assert ep.max_power_watts == 200.0 + assert ep.total_energy_joules == 15.0 + + def test_final_answer_set_on_is_final(self): + ep = Episode(task_id="t", initial_prompt="q", ground_truth="4") + action = OrchestratorAction( + thought="done", + tool_name="calc", + tool_input="4", + is_final_answer=True, + ) + obs = OrchestratorObservation(content="4") + ep.add_step(action, obs) + assert ep.final_answer == "4" + + def test_compute_ipj_correct(self): + ep = self._make_episode() + ep.correct = True + assert ep.compute_ipj() == pytest.approx(1.0 / 10.0) + + def test_compute_ipj_incorrect(self): + ep = self._make_episode() + ep.correct = False + assert ep.compute_ipj() == 0.0 + + def test_compute_ipj_zero_energy(self): + ep = Episode(task_id="t", initial_prompt="q", correct=True) + assert ep.compute_ipj() == 0.0 + + def test_to_dict(self): + ep = self._make_episode() + ep.correct = True + d = ep.to_dict() + assert d["task_id"] == "t1" + assert d["num_turns"] == 1 + assert d["correct"] is True + assert d["ipj"] > 0 + assert len(d["steps"]) == 1 + assert d["steps"][0]["tool"] == "calculator" + + +class TestEpisodeState: + def test_create(self): + state = EpisodeState(initial_prompt="Hello") + assert state.num_turns() == 0 + assert state.final_answer is None + + def test_add_turn(self): + state = EpisodeState(initial_prompt="q") + action = OrchestratorAction( + thought="t", tool_name="calc", tool_input="1+1" + ) + obs = OrchestratorObservation(content="2") + state.add_turn(action, obs) + assert state.num_turns() == 1 + + def test_final_answer(self): + state = EpisodeState(initial_prompt="q") + action = OrchestratorAction( + thought="t", + tool_name="calc", + tool_input="1+1", + is_final_answer=True, + ) + obs = OrchestratorObservation(content="2") + state.add_turn(action, obs) + assert state.final_answer == "2" + + def test_to_episode(self): + state = EpisodeState(initial_prompt="q") + action = OrchestratorAction( + thought="t", + tool_name="calc", + tool_input="1+1", + is_final_answer=True, + ) + obs = OrchestratorObservation( + content="2", latency_seconds=1.0, energy_joules=5.0 + ) + state.add_turn(action, obs) + ep = state.to_episode(task_id="t1", ground_truth="2", correct=True) + assert ep.task_id == "t1" + assert ep.correct is True + assert ep.num_turns() == 1 + assert ep.total_energy_joules == 5.0 + + +class TestGradeAnswer: + def test_exact_match(self): + assert grade_answer("4", "4") is True + + def test_case_insensitive(self): + assert grade_answer("Paris", "paris") is True + + def test_numeric_match(self): + assert grade_answer("4.0", "4") is True + + def test_numeric_tolerance(self): + assert grade_answer("3.999999", "4") is True + + def test_extracted_answer(self): + assert grade_answer("The answer is 4", "4") is True + + def test_wrong_answer(self): + assert grade_answer("5", "4") is False + + def test_empty(self): + assert grade_answer("", "4") is False + + +class TestExtractAnswer: + def test_simple(self): + assert extract_answer("4") == "4" + + def test_verbose(self): + assert extract_answer("The answer is 42") == "42" + + def test_result_prefix(self): + assert extract_answer("Result: 100") == "100" + + +class TestNormalizeNumber: + def test_integer(self): + assert normalize_number("42") == 42.0 + + def test_float(self): + assert normalize_number("3.14") == pytest.approx(3.14) + + def test_commas(self): + assert normalize_number("1,000") == 1000.0 + + def test_invalid(self): + assert normalize_number("abc") is None + + +class TestPolicyOutput: + def test_create(self): + po = PolicyOutput( + thought="t", + tool_name="calc", + tool_input="2+2", + ) + assert po.is_final_answer is False + assert po.confidence == 1.0 diff --git a/tests/tools/test_channel_tools.py b/tests/tools/test_channel_tools.py new file mode 100644 index 00000000..07ea94fb --- /dev/null +++ b/tests/tools/test_channel_tools.py @@ -0,0 +1,219 @@ +"""Tests for channel MCP tools — ChannelSendTool, ChannelListTool, ChannelStatusTool.""" + +from __future__ import annotations + +import pytest + +from openjarvis.channels._stubs import ( + BaseChannel, + ChannelHandler, + ChannelStatus, +) +from openjarvis.mcp.server import MCPServer +from openjarvis.tools.channel_tools import ( + ChannelListTool, + ChannelSendTool, + ChannelStatusTool, +) + + +class _MockChannel(BaseChannel): + """In-memory channel implementation for testing.""" + + channel_id = "mock" + + def __init__(self): + self._sent: list[dict] = [] + self._status = ChannelStatus.CONNECTED + self._handlers: list[ChannelHandler] = [] + + def connect(self) -> None: + self._status = ChannelStatus.CONNECTED + + def disconnect(self) -> None: + self._status = ChannelStatus.DISCONNECTED + + def send(self, channel, content, *, conversation_id="", metadata=None) -> bool: + self._sent.append({ + "channel": channel, + "content": content, + "conversation_id": conversation_id, + }) + return True + + def status(self) -> ChannelStatus: + return self._status + + def list_channels(self) -> list[str]: + return ["mock-channel-1", "mock-channel-2"] + + def on_message(self, handler) -> None: + self._handlers.append(handler) + + +class _FailingChannel(_MockChannel): + """Channel that always fails to send.""" + + def send(self, channel, content, *, conversation_id="", metadata=None) -> bool: + return False + + +class _ErrorChannel(_MockChannel): + """Channel that raises exceptions.""" + + def send(self, channel, content, *, conversation_id="", metadata=None) -> bool: + raise RuntimeError("Connection lost") + + def list_channels(self) -> list[str]: + raise RuntimeError("Connection lost") + + def status(self) -> ChannelStatus: + raise RuntimeError("Connection lost") + + +@pytest.fixture +def channel(): + return _MockChannel() + + +class TestChannelSendTool: + def test_spec(self): + tool = ChannelSendTool() + assert tool.spec.name == "channel_send" + assert tool.spec.category == "channel" + assert "channel" in tool.spec.parameters["required"] + assert "content" in tool.spec.parameters["required"] + + def test_send_success(self, channel): + tool = ChannelSendTool(channel) + result = tool.execute(channel="chat-123", content="Hello!") + assert result.success is True + assert "chat-123" in result.content + assert len(channel._sent) == 1 + assert channel._sent[0]["content"] == "Hello!" + + def test_send_with_conversation_id(self, channel): + tool = ChannelSendTool(channel) + result = tool.execute( + channel="chat-123", content="Reply", conversation_id="conv-1", + ) + assert result.success is True + assert channel._sent[0]["conversation_id"] == "conv-1" + + def test_no_backend(self): + tool = ChannelSendTool() + result = tool.execute(channel="chat-123", content="Hello!") + assert result.success is False + assert "No channel backend" in result.content + + def test_missing_params(self, channel): + tool = ChannelSendTool(channel) + result = tool.execute() + assert result.success is False + assert "required" in result.content + + def test_missing_content(self, channel): + tool = ChannelSendTool(channel) + result = tool.execute(channel="chat-123") + assert result.success is False + + def test_send_failure(self): + tool = ChannelSendTool(_FailingChannel()) + result = tool.execute(channel="chat-123", content="Hello!") + assert result.success is False + assert "Failed" in result.content + + def test_error_handling(self): + tool = ChannelSendTool(_ErrorChannel()) + result = tool.execute(channel="chat-123", content="Hello!") + assert result.success is False + assert "Send error" in result.content + + def test_tool_id(self): + assert ChannelSendTool.tool_id == "channel_send" + + +class TestChannelListTool: + def test_spec(self): + tool = ChannelListTool() + assert tool.spec.name == "channel_list" + assert tool.spec.category == "channel" + + def test_list_success(self, channel): + tool = ChannelListTool(channel) + result = tool.execute() + assert result.success is True + assert "mock-channel-1" in result.content + assert "mock-channel-2" in result.content + + def test_no_backend(self): + tool = ChannelListTool() + result = tool.execute() + assert result.success is False + assert "No channel backend" in result.content + + def test_error_handling(self): + tool = ChannelListTool(_ErrorChannel()) + result = tool.execute() + assert result.success is False + assert "List error" in result.content + + def test_tool_id(self): + assert ChannelListTool.tool_id == "channel_list" + + +class TestChannelStatusTool: + def test_spec(self): + tool = ChannelStatusTool() + assert tool.spec.name == "channel_status" + assert tool.spec.category == "channel" + + def test_status_success(self, channel): + tool = ChannelStatusTool(channel) + result = tool.execute() + assert result.success is True + assert "connected" in result.content + + def test_no_backend(self): + tool = ChannelStatusTool() + result = tool.execute() + assert result.success is False + assert "No channel backend" in result.content + + def test_error_handling(self): + tool = ChannelStatusTool(_ErrorChannel()) + result = tool.execute() + assert result.success is False + assert "Status error" in result.content + + def test_tool_id(self): + assert ChannelStatusTool.tool_id == "channel_status" + + +class TestChannelToolsMCPDiscovery: + def test_auto_discover_finds_channel_tools(self): + """MCPServer auto-discovery finds channel tools.""" + server = MCPServer() + from openjarvis.mcp.protocol import MCPRequest + + req = MCPRequest(method="tools/list", id=1) + resp = server.handle(req) + names = {t["name"] for t in resp.result["tools"]} + assert "channel_send" in names + assert "channel_list" in names + assert "channel_status" in names + + def test_channel_tool_annotations(self): + """Channel tools have correct MCP annotations.""" + server = MCPServer() + from openjarvis.mcp.protocol import MCPRequest + + req = MCPRequest(method="tools/list", id=1) + resp = server.handle(req) + tools_by_name = {t["name"]: t for t in resp.result["tools"]} + + send_tool = tools_by_name.get("channel_send", {}) + assert send_tool.get("annotations", {}).get("destructiveHint") is True + + list_tool = tools_by_name.get("channel_list", {}) + assert list_tool.get("annotations", {}).get("readOnlyHint") is True diff --git a/tests/tools/test_repl.py b/tests/tools/test_repl.py new file mode 100644 index 00000000..3029b287 --- /dev/null +++ b/tests/tools/test_repl.py @@ -0,0 +1,264 @@ +"""Tests for the persistent REPL tool.""" + +from __future__ import annotations + +import time + +from openjarvis.core.registry import ToolRegistry +from openjarvis.tools.repl import ReplTool + + +class TestReplSpec: + def test_spec_name(self): + tool = ReplTool() + assert tool.spec.name == "repl" + + def test_spec_category(self): + tool = ReplTool() + assert tool.spec.category == "code" + + def test_spec_parameters(self): + tool = ReplTool() + params = tool.spec.parameters + assert params["type"] == "object" + assert "code" in params["properties"] + assert "session_id" in params["properties"] + assert "reset" in params["properties"] + assert params["required"] == ["code"] + + def test_tool_id(self): + tool = ReplTool() + assert tool.tool_id == "repl" + + def test_to_openai_function(self): + tool = ReplTool() + fn = tool.to_openai_function() + assert fn["type"] == "function" + assert fn["function"]["name"] == "repl" + + +class TestReplBasicExecution: + def test_expression(self): + tool = ReplTool() + result = tool.execute(code="2 + 2") + assert result.success + assert "4" in result.content + + def test_print(self): + tool = ReplTool() + result = tool.execute(code="print('hello')") + assert result.success + assert "hello" in result.content + + def test_multiline(self): + tool = ReplTool() + result = tool.execute(code="x = 5\nprint(x * 2)") + assert result.success + assert "10" in result.content + + def test_no_output(self): + tool = ReplTool() + result = tool.execute(code="x = 42") + assert result.success + assert result.content == "(no output)" + + +class TestReplStatePersistence: + def test_variable_persists(self): + tool = ReplTool() + r1 = tool.execute(code="x = 42") + sid = r1.metadata["session_id"] + r2 = tool.execute(code="print(x)", session_id=sid) + assert r2.success + assert "42" in r2.content + + def test_function_persists(self): + tool = ReplTool() + r1 = tool.execute(code="def square(n): return n * n") + sid = r1.metadata["session_id"] + r2 = tool.execute(code="square(7)", session_id=sid) + assert r2.success + assert "49" in r2.content + + def test_import_persists(self): + tool = ReplTool() + r1 = tool.execute(code="import math") + sid = r1.metadata["session_id"] + r2 = tool.execute(code="math.sqrt(16)", session_id=sid) + assert r2.success + assert "4.0" in r2.content + + def test_class_persists(self): + tool = ReplTool() + r1 = tool.execute(code="class Foo:\n val = 99") + sid = r1.metadata["session_id"] + r2 = tool.execute(code="Foo.val", session_id=sid) + assert r2.success + assert "99" in r2.content + + def test_mutable_state_across_calls(self): + tool = ReplTool() + r1 = tool.execute(code="data = []") + sid = r1.metadata["session_id"] + tool.execute(code="data.append(1)", session_id=sid) + tool.execute(code="data.append(2)", session_id=sid) + r4 = tool.execute(code="print(data)", session_id=sid) + assert "[1, 2]" in r4.content + + +class TestReplSessionManagement: + def test_auto_create_session(self): + tool = ReplTool() + result = tool.execute(code="x = 1") + assert "session_id" in result.metadata + assert result.metadata["session_id"] + + def test_explicit_session_id(self): + tool = ReplTool() + result = tool.execute(code="x = 1", session_id="my-session") + assert result.metadata["session_id"] == "my-session" + + def test_session_isolation(self): + tool = ReplTool() + tool.execute(code="x = 'session_a'", session_id="a") + tool.execute(code="x = 'session_b'", session_id="b") + r3 = tool.execute(code="print(x)", session_id="a") + assert "session_a" in r3.content + + def test_session_reset(self): + tool = ReplTool() + tool.execute(code="x = 42", session_id="s1") + tool.execute(code="print('reset')", session_id="s1", reset=True) + result = tool.execute(code="print(x)", session_id="s1") + assert not result.success + assert "NameError" in result.content + + def test_execution_count(self): + tool = ReplTool() + r1 = tool.execute(code="x = 1", session_id="cnt") + assert r1.metadata["execution_count"] == 1 + r2 = tool.execute(code="x += 1", session_id="cnt") + assert r2.metadata["execution_count"] == 2 + + def test_lru_eviction(self): + tool = ReplTool(max_sessions=2) + tool.execute(code="x = 'first'", session_id="s1") + time.sleep(0.01) + tool.execute(code="x = 'second'", session_id="s2") + time.sleep(0.01) + # s1 is oldest; creating s3 should evict s1 + tool.execute(code="x = 'third'", session_id="s3") + # s1 should be gone — new session with no x + result = tool.execute(code="print(x)", session_id="s1") + assert "NameError" in result.content + + +class TestReplErrorHandling: + def test_syntax_error(self): + tool = ReplTool() + result = tool.execute(code="def foo(") + assert not result.success + assert "SyntaxError" in result.content + + def test_runtime_error(self): + tool = ReplTool() + result = tool.execute(code="1 / 0") + assert not result.success + assert "ZeroDivisionError" in result.content + + def test_name_error(self): + tool = ReplTool() + result = tool.execute(code="print(undefined)") + assert not result.success + assert "NameError" in result.content + + def test_error_doesnt_corrupt_session(self): + tool = ReplTool() + tool.execute(code="x = 10", session_id="err") + tool.execute(code="1 / 0", session_id="err") # Error + r3 = tool.execute(code="print(x)", session_id="err") + assert r3.success + assert "10" in r3.content + + def test_no_code(self): + tool = ReplTool() + result = tool.execute(code="") + assert not result.success + assert "No code" in result.content + + +class TestReplSecurity: + def test_blocked_os_system(self): + tool = ReplTool() + result = tool.execute(code="os.system('ls')") + assert not result.success + assert "Blocked" in result.content + + def test_blocked_subprocess(self): + tool = ReplTool() + result = tool.execute(code="import subprocess") + assert not result.success + assert "Blocked" in result.content + + def test_blocked_open(self): + tool = ReplTool() + result = tool.execute(code="f = open('file.txt')") + assert not result.success + assert "Blocked" in result.content + + def test_safe_imports_allowed(self): + tool = ReplTool() + result = tool.execute(code="import math\nprint(math.pi)") + assert result.success + assert "3.14" in result.content + + def test_safe_json_import(self): + tool = ReplTool() + result = tool.execute(code="import json\nprint(json.dumps({'a': 1}))") + assert result.success + assert '"a"' in result.content + + def test_unsafe_import_blocked(self): + tool = ReplTool() + result = tool.execute(code="import os") + assert not result.success + assert "not allowed" in result.content + + +class TestReplTimeout: + def test_sleep_timeout(self): + tool = ReplTool(timeout=1) + result = tool.execute(code="import time\ntime.sleep(10)") + assert not result.success + assert "timed out" in result.content + + def test_infinite_loop_timeout(self): + tool = ReplTool(timeout=1) + result = tool.execute(code="while True: pass") + assert not result.success + assert "timed out" in result.content + + +class TestReplOutput: + def test_truncation(self): + tool = ReplTool(max_output=50) + result = tool.execute(code="print('x' * 200)") + assert "truncated" in result.content + + def test_expression_display(self): + """Expressions should show their repr (REPL-like behavior).""" + tool = ReplTool() + result = tool.execute(code="2 + 2") + assert "4" in result.content + + def test_string_expression_display(self): + tool = ReplTool() + result = tool.execute(code="'hello'") + assert "hello" in result.content + + +class TestReplRegistration: + def test_registered(self): + # Re-register after conftest clears all registries + ToolRegistry.register_value("repl", ReplTool) + assert ToolRegistry.contains("repl") diff --git a/uv.lock b/uv.lock new file mode 100644 index 00000000..53744b8b --- /dev/null +++ b/uv.lock @@ 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