Admin Replay: re-run the pipeline over past calls in a sandbox (#170)
Correlation has only ever been measured through live AI windows: days of wall time per change, and the 09-20→22 window was invalidated outright by unfunded AI accounts (#169). Recordings are kept regardless of AI, so the traffic to measure against already exists. - internal/replay.py: runs a time range of real calls through the live pipeline code in original order, clock pinned per call, into replay_runs/{run_id}/calls|incidents. Modes: audio (re-transcribe), transcripts (re-extract), reuse (correlation only from a prior run's scenes). Simulates the idle-resolve and orphan-recorrelation sweeps on virtual time. No alerts, summaries, vocab, AI-health alerts or pending terms. One run at a time, <=5000 calls, <=7 days. - firestore.py: ContextVar sandbox redirect for calls/incidents. - clock.py: ContextVar-pinnable now(), used on the correlation path. - feature_flags.py: ContextVar flag override so replay runs with live AI off. - upload.py: scene loop extracted to _extract_and_correlate, shared by the live pipeline and replay so replay measures the code that runs live. - resolved_via on every incident resolve, so a real clear can be told from the idle timeout — live and in replay. - routers/replay.py + /admin Replay tab: estimate, start, compare runs, drill into incidents with audio. Reviewed by drb-correlation-review; its leak and fidelity findings are fixed and covered by tests. c2-core: 456 pass. Frontend typecheck not run (no Node on the authoring box). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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@@ -448,6 +448,8 @@ async def add_pending(system_id: str, talkgroup_id: Any, entries: list[dict]) ->
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"""
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from app.internal import firestore as fstore
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if fstore.in_sandbox():
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return 0 # a replay proposes nothing to the live review queue
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if not system_id or talkgroup_id is None or not entries:
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return 0
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system_doc = await fstore.doc_get("systems", system_id)
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