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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_gui_updates.py
+12 -9
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@@ -17,9 +17,10 @@ from src.gui_2 import App
def test_telemetry_data_updates_correctly(app_instance: Any) -> None:
"""
Tests that the _refresh_api_metrics method correctly updates
the internal state for display by querying the ai_client.
Verifies the boundary between GUI state and API state.
Tests that the _refresh_api_metrics method correctly updates
the internal state for display by querying the ai_client.
Verifies the boundary between GUI state and API state.
"""
# 1. Set the provider to anthropic
app_instance._current_provider = "anthropic"
@@ -43,9 +44,10 @@ def test_telemetry_data_updates_correctly(app_instance: Any) -> None:
def test_performance_history_updates(app_instance: Any) -> None:
"""
Verify the data structure that feeds the sparkline.
This ensures that the rolling buffer for performance telemetry maintains
the correct size and default initialization to prevent GUI rendering crashes.
Verify the data structure that feeds the sparkline.
This ensures that the rolling buffer for performance telemetry maintains
the correct size and default initialization to prevent GUI rendering crashes.
"""
# ANTI-SIMPLIFICATION: Verifying exactly 100 elements ensures the sparkline won't overflow
assert len(app_instance.perf_history["frame_time"]) == 100
@@ -54,9 +56,10 @@ def test_performance_history_updates(app_instance: Any) -> None:
def test_gui_updates_on_event(app_instance: App) -> None:
"""
Verifies that when an API event is received (e.g. from ai_client),
the _on_api_event handler correctly updates internal metrics and
queues the update to be processed by the GUI event loop.
Verifies that when an API event is received (e.g. from ai_client),
the _on_api_event handler correctly updates internal metrics and
queues the update to be processed by the GUI event loop.
"""
mock_stats = {"percentage": 50.0, "current": 500, "limit": 1000}
app_instance.last_md = "mock_md"