Make "AI is off" true, and stop the transcript PATCH from destroying calls
config/ai_features was not the switch it was documented to be. Three paths spent money with it off, and one path read it wrong, so per-system opt-outs did not opt anything out. - Correlation in the ingest pipeline tested the raw global flag instead of the per-system resolution. With a system opted out, extraction was skipped but the no-scenes fallback still correlated the call with empty tags, taking the thin/recency path and attaching it to whatever incident was most recent on that system. The opt-out did not disable correlation, it disabled good correlation and left the worst kind running. (#75) - Transcript correction ran on every transcribed call gated only by an env var, spending Gemini tokens and a Places lookup per proposed location. An "STT-only" window was never STT-only and its cost could not be attributed. Now behind transcript_correction_enabled. (#76) - _run_extraction_pipeline and the vocabulary learner, both reachable from PATCH /calls/{id}/transcript, checked no flags at all. (#76, #81) The flag resolver now lives in feature_flags.resolve_flags() rather than as a local helper in upload.py. Three copies of that logic is how #75 happened. PATCH /calls/{id}/transcript now refuses with 409 when correlation is off. That route wipes tags, severity, location, units, embedding and unlinks the call from every incident before queueing re-extraction. Gating extraction alone would have made it destructive-only in the standing flags-off configuration: the call left blank and orphaned forever, with the route still answering 200. The wipe and the rebuild are one transaction in intent, so it refuses before the first write. Also: the summarizer's stale-incident sweep is no longer behind summaries_enabled. It is pure Firestore with no model call in it, and gating it meant nothing auto-resolved while AI was off - so every incident stayed active forever and the candidate set every correlation reads kept growing. transcript_correction_enabled is documented as NOT a pure cost lever. The corrector is also the noise gate that sets not_speech; with it off, recogniser noise reaches extraction as a real transcript, comes back thin, and auto-attaches. Never open an evaluation window with correction off and correlation on. 14 tests added covering flag precedence, both pipeline paths, the 409, the correction gate and the summarizer no-op. Suite: 264 passed. Refs #75, #76, #81, #45.
This commit is contained in:
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"""
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The AI feature flags have to be an enforceable statement about the system,
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not just about the ingest path (server-26#75, server-26#76).
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Three defects motivate these tests:
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#75 Correlation read the raw global config/ai_features flag instead of the
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per-system resolution, so a system that had opted out via its own
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ai_flags still correlated -- with empty tags, down the thin/recency
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path, blindly attaching to whatever incident was most recent.
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#76 Transcript correction and the transcript-PATCH extraction path checked
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no Firestore flag at all, so "AI is off" still spent money.
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Plus the destructive half of PATCH /calls/{id}/transcript, which wipes a
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call's intelligence fields on the promise that re-extraction rebuilds them.
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Firestore and the lazily-imported pipeline modules are fully mocked; the
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functions are called directly rather than through FastAPI.
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"""
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import pytest
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from unittest.mock import AsyncMock, MagicMock, patch
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from fastapi import HTTPException
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from app.routers import upload, calls
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from app.internal import summarizer, transcription
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ALL_ON = {
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"stt_enabled": True,
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"correlation_enabled": True,
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"summaries_enabled": True,
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"vocabulary_learning_enabled": True,
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"transcript_correction_enabled": True,
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}
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def _flags(**overrides):
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return {**ALL_ON, **overrides}
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def _system(ai_flags):
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return {"system_id": "sys-1", "ai_flags": ai_flags or {}}
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def _patch_flags(global_flags, system_ai_flags):
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"""Patch the two reads resolve_flags() makes: the global doc and the system doc."""
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return (
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patch("app.internal.feature_flags.get_flags", AsyncMock(return_value=global_flags)),
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patch("app.internal.firestore.doc_get_cached",
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AsyncMock(return_value=_system(system_ai_flags))),
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)
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# --------------------------------------------------------------------------
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# resolve_flags: global master off beats everything, system false beats
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# global true, absent system key inherits global.
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# --------------------------------------------------------------------------
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@pytest.mark.parametrize(
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"global_on, system_ai_flags, expected",
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[
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(True, {"correlation_enabled": False}, False), # #75: system opt-out holds
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(True, {}, True), # absent -> inherit global
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(True, {"correlation_enabled": True}, True),
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(False, {"correlation_enabled": True}, False), # global is the master switch
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(False, {}, False),
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],
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)
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@pytest.mark.asyncio
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async def test_resolve_flags_precedence(global_on, system_ai_flags, expected):
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g, sysdoc = _patch_flags(_flags(correlation_enabled=global_on), system_ai_flags)
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with g, sysdoc:
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_, flag = await upload._resolve_flags("sys-1")
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assert flag("correlation_enabled") is expected
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@pytest.mark.asyncio
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async def test_resolve_flags_without_a_system_id_does_not_read_the_system_doc():
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with patch("app.internal.feature_flags.get_flags", AsyncMock(return_value=_flags())), \
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patch("app.internal.firestore.doc_get_cached", AsyncMock()) as cached:
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_, flag = await upload._resolve_flags(None)
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assert flag("correlation_enabled") is True
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cached.assert_not_awaited()
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# --------------------------------------------------------------------------
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# The ingest path. This is the exact shape of #75: with the global on and the
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# system opted out, extraction was skipped but the empty-scenes fallback still
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# ran, correlating the call with no tags and attaching it to whatever incident
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# was most recent on that system.
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# --------------------------------------------------------------------------
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async def _run_ingest(global_correlation, system_ai_flags):
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g, sysdoc = _patch_flags(
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_flags(correlation_enabled=global_correlation), system_ai_flags
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)
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with g, sysdoc, \
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patch.object(upload, "fstore") as fs, \
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patch.object(upload, "_correlate_with_consensus", AsyncMock(return_value=None)) as corr, \
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patch("app.internal.transcription.transcribe_call",
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AsyncMock(return_value=("units respond to main street", []))), \
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patch("app.internal.intelligence.extract_scenes", AsyncMock(return_value=[])) as scenes, \
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patch("app.internal.alerter.check_and_dispatch", AsyncMock()):
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fs.doc_get = AsyncMock(return_value={})
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fs.doc_set = AsyncMock()
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await upload._run_intelligence_pipeline(
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call_id="call-1",
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node_id="node-1",
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system_id="sys-1",
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talkgroup_id=101,
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talkgroup_name="PD Dispatch",
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gcs_uri="gs://bucket/call-1.mp3",
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)
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return scenes, corr
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@pytest.mark.asyncio
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async def test_per_system_opt_out_blocks_the_blind_recency_fallback_too():
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scenes, corr = await _run_ingest(True, {"correlation_enabled": False})
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scenes.assert_not_awaited()
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# The regression that mattered: the no-scenes fallback correlating on empty tags.
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corr.assert_not_awaited()
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@pytest.mark.asyncio
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async def test_ingest_correlates_when_the_system_has_not_opted_out():
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scenes, corr = await _run_ingest(True, {})
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scenes.assert_awaited_once()
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corr.assert_awaited_once()
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# --------------------------------------------------------------------------
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# _run_extraction_pipeline -- the transcript-PATCH path (#76).
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# --------------------------------------------------------------------------
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async def _run_extraction(global_correlation, system_ai_flags=None):
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g, sysdoc = _patch_flags(
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_flags(correlation_enabled=global_correlation), system_ai_flags
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)
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with g, sysdoc, \
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patch.object(upload, "fstore") as fs, \
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patch("app.internal.intelligence.extract_scenes", AsyncMock(return_value=[])) as scenes, \
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patch("app.internal.alerter.check_and_dispatch", AsyncMock()) as alert:
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fs.doc_set = AsyncMock()
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await upload._run_extraction_pipeline(
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call_id="call-1",
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node_id="node-1",
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system_id="sys-1",
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talkgroup_id=101,
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talkgroup_name="PD Dispatch",
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transcript="units respond to main street",
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)
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return scenes, alert, fs
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@pytest.mark.asyncio
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async def test_extraction_does_not_spend_when_correlation_is_off():
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scenes, alert, fs = await _run_extraction(False)
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scenes.assert_not_awaited()
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# No incidents produced, so nothing may be stamped onto the call doc.
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fs.doc_set.assert_not_awaited()
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# Alerting is rule-based and free -- it still runs.
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alert.assert_awaited_once()
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@pytest.mark.asyncio
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async def test_extraction_respects_a_per_system_opt_out():
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scenes, _alert, _fs = await _run_extraction(True, {"correlation_enabled": False})
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scenes.assert_not_awaited()
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@pytest.mark.asyncio
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async def test_extraction_runs_when_the_flag_is_on():
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scenes, _alert, _fs = await _run_extraction(True)
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scenes.assert_awaited_once()
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# --------------------------------------------------------------------------
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# PATCH /calls/{id}/transcript is destructive before it is constructive.
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# With correlation off it must refuse rather than blank the call out.
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# --------------------------------------------------------------------------
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@pytest.mark.asyncio
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async def test_transcript_patch_refuses_when_correlation_is_off():
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g, sysdoc = _patch_flags(_flags(correlation_enabled=False), {})
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with g, sysdoc, patch.object(calls, "fstore") as fs:
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fs.doc_get = AsyncMock(return_value={"call_id": "call-1", "system_id": "sys-1"})
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fs.doc_set = AsyncMock()
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with pytest.raises(HTTPException) as exc:
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await calls.patch_transcript(
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call_id="call-1",
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body=MagicMock(transcript="corrected text"),
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background_tasks=MagicMock(),
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_={},
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)
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assert exc.value.status_code == 409
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# The refusal has to land before the first write, or the call is already ruined.
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fs.doc_set.assert_not_awaited()
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# --------------------------------------------------------------------------
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# Transcript correction is a second model call plus a Places lookup (#76).
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# --------------------------------------------------------------------------
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@pytest.mark.asyncio
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async def test_transcript_correction_is_skipped_when_its_flag_is_off():
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g, sysdoc = _patch_flags(_flags(transcript_correction_enabled=False), {})
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with g, sysdoc, \
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patch.object(transcription, "fstore") as fs, \
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patch.object(transcription, "ai_health") as health, \
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patch.object(transcription, "transcript_correction") as tc, \
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patch("asyncio.to_thread", AsyncMock(return_value=("units respond", [], False))):
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fs.doc_set = AsyncMock()
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health.report_healthy = AsyncMock()
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health.report_failure = AsyncMock()
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tc.correct = AsyncMock()
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await transcription.transcribe_call(
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"call-1", "gs://bucket/call-1.mp3", "PD Dispatch", system_id="sys-1"
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)
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tc.correct.assert_not_awaited()
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# --------------------------------------------------------------------------
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# Summarizer: the flag guards model spend, not the free Firestore sweep.
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# --------------------------------------------------------------------------
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@pytest.mark.asyncio
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async def test_summarize_incident_is_a_no_op_when_summaries_are_off():
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with patch("app.internal.feature_flags.get_flags",
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AsyncMock(return_value=_flags(summaries_enabled=False))), \
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patch.object(summarizer, "fstore") as fs, \
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patch.object(summarizer, "_sync_summarize") as sync:
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fs.doc_get = AsyncMock()
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fs.doc_set = AsyncMock()
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await summarizer._summarize_incident(
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{"incident_id": "inc-1", "call_ids": ["call-1"]}
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)
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sync.assert_not_called()
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fs.doc_get.assert_not_awaited()
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fs.doc_set.assert_not_awaited()
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