Vito
763e6b37b1
* feat(history): normalize bounded execution evidence (#209) * fix(history): bound lifecycle kind checks before hashing (#209) * feat(history): persist execution attempts with restore fencing (#209) * test(api): bootstrap standalone backup restore fixtures (#209) * feat(history): isolate bounded asynchronous ledger writes (#209) * feat(history): observe actual queue attempts without altering execution (#209) * fix(database): honor package-scoped configuration (#211) * test(history): exercise real cached and headless executions (#209) * fix(history): reject unsupported uniqueness and isolate package fixtures (#209) * test(history): support Python 3.10 package fixture cleanup (#209)
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
"""Bounded read-only SQLite inspection for the owned execution fixture."""
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import argparse
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import json
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from pathlib import Path
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import sqlite3
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from uuid import UUID
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def read_runs(database: str, job_id: str, session_id: str | None = None) -> dict:
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job_id = str(UUID(job_id))
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if session_id is not None:
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session_id = str(UUID(session_id))
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uri = Path(database).resolve().as_uri() + "?mode=ro"
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with sqlite3.connect(uri, uri=True, timeout=0.25) as connection:
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connection.row_factory = sqlite3.Row
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connection.execute("PRAGMA query_only=ON")
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table = connection.execute(
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"SELECT 1 FROM sqlite_master WHERE type='table' AND name='execution_runs'"
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).fetchone()
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if table is None:
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return {"schemaAvailable": False, "rows": []}
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sql = "SELECT * FROM execution_runs WHERE job_id=?"
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parameters = [job_id]
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if session_id is not None:
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sql += " AND session_id=?"
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parameters.append(session_id)
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rows = connection.execute(
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sql + " ORDER BY rowid LIMIT 257", parameters
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).fetchall()
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if len(rows) > 256:
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raise ValueError("Execution query exceeds the 256-row bound")
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return {"schemaAvailable": True, "rows": [dict(row) for row in rows]}
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("database")
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parser.add_argument("job_id")
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parser.add_argument("--session-id")
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arguments = parser.parse_args()
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print(
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json.dumps(
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read_runs(arguments.database, arguments.job_id, arguments.session_id)
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)
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)
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