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feat(sdm): inject structural dependency mapping tags across codebase

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Adds [C: caller] tags to functions/methods and [M: mutation] / [U: usage] tags to class variables based on cross-module call analysis.
This commit is contained in:
Edward R. Gonzalez
2026-05-13 22:35:41 -04:00
parent 5bb3a9026f
commit b5e512f483
110 changed files with 1673 additions and 1008 deletions
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tests/test_conductor_engine_v2.py
+25 -15
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@@ -10,7 +10,8 @@ from src import ai_client
def test_conductor_engine_initialization() -> None:
"""
Test that ConductorEngine can be initialized with a Track.
Test that ConductorEngine can be initialized with a Track.
"""
track = Track(id="test_track", description="Test Track")
from src.multi_agent_conductor import ConductorEngine
@@ -20,7 +21,8 @@ def test_conductor_engine_initialization() -> None:
def test_conductor_engine_run_executes_tickets_in_order(monkeypatch: pytest.MonkeyPatch, vlogger) -> None:
"""
Test that run iterates through executable tickets and calls the worker lifecycle.
Test that run iterates through executable tickets and calls the worker lifecycle.
"""
ticket1 = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1")
ticket2 = Ticket(id="T2", description="Task 2", status="todo", assigned_to="worker2", depends_on=["T1"])
@@ -67,7 +69,8 @@ def test_conductor_engine_run_executes_tickets_in_order(monkeypatch: pytest.Monk
def test_run_worker_lifecycle_calls_ai_client_send(monkeypatch: pytest.MonkeyPatch) -> None:
"""
Test that run_worker_lifecycle triggers the AI client and updates ticket status on success.
Test that run_worker_lifecycle triggers the AI client and updates ticket status on success.
"""
ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1")
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
@@ -88,7 +91,8 @@ def test_run_worker_lifecycle_calls_ai_client_send(monkeypatch: pytest.MonkeyPat
def test_run_worker_lifecycle_context_injection(monkeypatch: pytest.MonkeyPatch) -> None:
"""
Test that run_worker_lifecycle can take a context_files list and injects AST views into the prompt.
Test that run_worker_lifecycle can take a context_files list and injects AST views into the prompt.
"""
ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1")
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
@@ -134,7 +138,8 @@ def test_run_worker_lifecycle_context_injection(monkeypatch: pytest.MonkeyPatch)
def test_run_worker_lifecycle_handles_blocked_response(monkeypatch: pytest.MonkeyPatch) -> None:
"""
Test that run_worker_lifecycle marks the ticket as blocked if the AI indicates it cannot proceed.
Test that run_worker_lifecycle marks the ticket as blocked if the AI indicates it cannot proceed.
"""
ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1")
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
@@ -151,9 +156,10 @@ def test_run_worker_lifecycle_handles_blocked_response(monkeypatch: pytest.Monke
def test_run_worker_lifecycle_step_mode_confirmation(monkeypatch: pytest.MonkeyPatch) -> None:
"""
Test that run_worker_lifecycle passes confirm_execution to ai_client.send when step_mode is True.
Verify that if confirm_execution is called (simulated by mocking ai_client.send to call its callback),
the flow works as expected.
Test that run_worker_lifecycle passes confirm_execution to ai_client.send when step_mode is True.
Verify that if confirm_execution is called (simulated by mocking ai_client.send to call its callback),
the flow works as expected.
"""
ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1", step_mode=True)
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
@@ -188,8 +194,9 @@ def test_run_worker_lifecycle_step_mode_confirmation(monkeypatch: pytest.MonkeyP
def test_run_worker_lifecycle_step_mode_rejection(monkeypatch: pytest.MonkeyPatch) -> None:
"""
Verify that if confirm_execution returns False, the logic (in ai_client, which we simulate here)
would prevent execution. In run_worker_lifecycle, we just check if it's passed.
Verify that if confirm_execution returns False, the logic (in ai_client, which we simulate here)
would prevent execution. In run_worker_lifecycle, we just check if it's passed.
"""
ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1", step_mode=True)
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
@@ -213,7 +220,8 @@ def test_run_worker_lifecycle_step_mode_rejection(monkeypatch: pytest.MonkeyPatc
def test_conductor_engine_dynamic_parsing_and_execution(monkeypatch: pytest.MonkeyPatch, vlogger) -> None:
"""
Test that parse_json_tickets correctly populates the track and run executes them in dependency order.
Test that parse_json_tickets correctly populates the track and run executes them in dependency order.
"""
import json
from src.multi_agent_conductor import ConductorEngine
@@ -281,8 +289,9 @@ def test_conductor_engine_dynamic_parsing_and_execution(monkeypatch: pytest.Monk
def test_run_worker_lifecycle_pushes_response_via_queue(monkeypatch: pytest.MonkeyPatch) -> None:
"""
Test that run_worker_lifecycle pushes a 'response' event with the correct stream_id
via _queue_put when event_queue is provided.
Test that run_worker_lifecycle pushes a 'response' event with the correct stream_id
via _queue_put when event_queue is provided.
"""
ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1")
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
@@ -307,8 +316,9 @@ def test_run_worker_lifecycle_pushes_response_via_queue(monkeypatch: pytest.Monk
def test_run_worker_lifecycle_token_usage_from_comms_log(monkeypatch: pytest.MonkeyPatch) -> None:
"""
Test that run_worker_lifecycle reads token usage from the comms log and
updates engine.tier_usage['Tier 3'] with real input/output token counts.
Test that run_worker_lifecycle reads token usage from the comms log and
updates engine.tier_usage['Tier 3'] with real input/output token counts.
"""
ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1")
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])