Files
OpenJarvis/tests/learning/test_system_learning.py
T
05f2c02131 feat: Algolia DocSearch + learning subsystem reorganization (#43)
* chore: create learning subdirectory structure (routing, agents, intelligence)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: extract classify_query to routing/_utils.py

Move the classify_query() function and its regex patterns into a shared
utility module so multiple routing policies can import it without
depending on the full trace_policy module.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* refactor: move routing files to learning/routing/ subdirectory

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: create LearnedRouterPolicy merging trace-driven + SFT routing

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add conditional Algolia DocSearch integration

Add Algolia DocSearch as an optional search upgrade — native lunr.js
search remains the default until credentials are configured. Includes
CDN assets, Jinja2 conditional config injection, init script with
graceful fallback, light/dark theme CSS, improved search tokenization
for snake_case/dotted identifiers, and search boosts for key pages.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* refactor: move agent_evolver and skill_discovery to learning/agents/

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* refactor: move learning/orchestrator to learning/intelligence/orchestrator

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* refactor: delete removed learning policies, rewrite __init__.py, clean up api_routes

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add SFT/GRPO/DSPy/GEPA config dataclasses, update LearningConfig

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add general-purpose SFT trainer (intelligence/sft_trainer.py)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: update stale imports in multi_model_router example

Update imports to use new learning/routing/ paths after the
subdirectory reorganization. Replace BanditRouterPolicy with
LearnedRouterPolicy.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add general-purpose GRPO trainer (intelligence/grpo_trainer.py)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add DSPy agent optimizer (agents/dspy_optimizer.py)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add GEPA agent optimizer (agents/gepa_optimizer.py)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add learning-dspy and learning-gepa optional dependency extras

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: update integration test to check for learned policy instead of grpo

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: clean up stale APIs and unused params in examples

- deep_research: remove system_prompt and max_turns params not accepted
  by Jarvis.ask(), inline system prompt into the query instead
- doc_qa: remove unused --top-k CLI arg that was never passed to the API
- multi_model_router: fix select_model() call to match single-arg signature

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: import SFT/GRPO trainers in intelligence/__init__.py for registry

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* chore: remove .md file changes from PR

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* chore: restore search boost frontmatter for key docs pages

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 21:34:31 -07:00

51 lines
2.0 KiB
Python

"""Tests for LearningOrchestrator integration with SystemBuilder."""
class TestSystemLearningIntegration:
def test_learning_orchestrator_not_created_when_disabled(self):
"""Default config has training_enabled=False, so no orchestrator."""
from openjarvis.core.config import JarvisConfig
from openjarvis.system import SystemBuilder
config = JarvisConfig()
assert config.learning.training_enabled is False
result = SystemBuilder._setup_learning_orchestrator(config)
assert result is None
def test_learning_orchestrator_created_when_enabled(self):
"""When training_enabled=True, orchestrator is created."""
from openjarvis.core.config import JarvisConfig
from openjarvis.learning.learning_orchestrator import LearningOrchestrator
from openjarvis.system import SystemBuilder
config = JarvisConfig()
config.learning.training_enabled = True
result = SystemBuilder._setup_learning_orchestrator(config)
assert isinstance(result, LearningOrchestrator)
def test_config_has_training_fields(self):
"""LearningConfig has the training pipeline fields."""
from openjarvis.core.config import LearningConfig
config = LearningConfig()
assert config.training_enabled is False
assert config.training_schedule == ""
assert config.intelligence.sft.lora_rank == 16
assert config.intelligence.sft.lora_alpha == 32
assert config.intelligence.sft.min_pairs == 10
assert config.min_improvement == 0.02
def test_training_components_exported(self):
"""Learning package exports all training components."""
from openjarvis.learning import (
AgentConfigEvolver,
LearningOrchestrator,
LoRATrainer,
TrainingDataMiner,
)
assert TrainingDataMiner is not None
assert LoRATrainer is not None
assert AgentConfigEvolver is not None
assert LearningOrchestrator is not None