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synthetic_src/: - type_aliases.py (3 TypeAliases: Metadata, FileItems, History) - ai_client.py (producer + consumer of Metadata + History) - aggregate.py (producer + consumer of FileItems) - gui_2.py (hot-path consumer of FileItems) - cleanup.py (cold-path consumer of Metadata) - overrides.toml (frequency override for cleanup.do_nothing) audit_inputs/ (6 JSON files): - audit_weak_types.json (4 findings in Metadata + FileItems functions) - audit_exception_handling.json (2 BOUNDARY_SDK findings) - audit_optional_in_3_files.json (0 findings) - audit_no_models_config_io.json (0 findings) - audit_main_thread_imports.json (0 findings) - type_registry.json (3 aggregates' field sets)
26 lines
640 B
Python
26 lines
640 B
Python
"""Synthetic AI client for the v2 audit integration tests."""
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from __future__ import annotations
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from typing import Any
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Metadata = dict[str, Any]
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History = list[dict[str, Any]]
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def send_result() -> dict[str, Any]:
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data: Metadata = {"role": "user", "content": "hello"}
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return data
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def append_history() -> list[dict[str, Any]]:
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data: History = []
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return data
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def to_list(history: History) -> History:
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out: History = []
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for entry in history:
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role = entry["role"]
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content = entry["content"]
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out.append({"role": role, "content": content})
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return out
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def process(metadata: Metadata) -> str:
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role = metadata["role"]
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return role |