mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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b13cb389cc
- API routers, ACA modules, integrations (draft operators) - Docs, landing pages, scripts (launch readiness, scorecard) - Tests and CI workflow updates for Dealix Co-authored-by: Cursor <cursoragent@cursor.com>
42 lines
1.0 KiB
Python
42 lines
1.0 KiB
Python
"""In-memory decision log for platform tools (MVP)."""
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from __future__ import annotations
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import itertools
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import threading
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import time
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from typing import Any
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_counter = itertools.count(1)
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_lock = threading.Lock()
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_entries: list[dict[str, Any]] = []
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class ActionLedger:
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"""Thread-safe append-only ledger."""
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def append_decision(self, *, tool: str, outcome: str, detail: dict[str, Any]) -> dict[str, Any]:
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with _lock:
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entry = {
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"id": next(_counter),
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"ts": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
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"tool": tool,
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"outcome": outcome,
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"detail": detail,
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}
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_entries.append(entry)
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if len(_entries) > 500:
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del _entries[:-500]
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return entry
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def recent(self, limit: int = 50) -> list[dict[str, Any]]:
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with _lock:
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return list(_entries[-limit:])
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_ledger = ActionLedger()
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def get_action_ledger() -> ActionLedger:
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return _ledger
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