* feat: wire deriver custom instructions on main * refactor: simplify custom instruction normalization * chore: lower deriver custom instruction cap * chore: raise deriver custom instruction budgets * docs: update deriver input token example * fix: hide deriver config guidance from validation * chore: address custom instruction review nits * docs: document deriver custom instruction cap * fix: remove unused tests/validation and simplify enable flag for custom instructions --------- Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com> |
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| .. | ||
| README.md | ||
| __init__.py | ||
| conftest.py | ||
| test_deriver_processing.py | ||
| test_enqueue_dream.py | ||
| test_prompts.py | ||
| test_queue_operations.py | ||
| test_queue_processing.py | ||
| test_representation_crud.py | ||
| test_vector_reconciliation.py | ||
README.md
Deriver Testing
This directory contains tests for the deriver system, which handles background processing of messages to extract insights and update working representations.
Structure
conftest.py- Shared fixtures for deriver testingtest_queue_operations.py- Tests for basic queue operationstest_deriver_processing.py- Tests for deriver processing logictest_queue_processing.py- Tests for queue manager and work unit processing
Key Fixtures
Database Fixtures
sample_session_with_peers- Creates a session with multiple peers having different observation configurationssample_messages- Creates sample messages for testingsample_queue_items- Creates queue items with various payload types (representation, summary)
Queue Fixtures
create_queue_payload- Helper to create queue payloads for testingadd_queue_items- Helper to add queue items to the databasecreate_active_queue_session- Helper to create active queue sessions for work unit tracking
Mocking Fixtures
mock_critical_analysis_call- Mocks the critical analysis LLM callmock_queue_manager- Mocks the queue manager for testingmock_representation_manager- Mocks the representation manager operations
Testing Patterns
Creating Queue Items
# Create representation payloads
payload = create_queue_payload(
message=message,
task_type="representation",
observer=observer_peer.name,
observed=message.peer_name
)
# Add to queue
queue_items = await add_queue_items([payload], session.id)
Testing Work Units
# Create a work unit
work_unit = WorkUnit(
session_id=session.id,
task_type="representation",
observer=observer,
observed=observed
)
# Test string representation
assert str(work_unit) == f"({session.id}, {observed.name}, {observer.name}, representation)"