Make "AI is off" true, and stop the transcript PATCH from destroying calls
Build & Deploy / Build & push images (push) Successful in 4m2s
Build & Deploy / Deploy to VM (push) Successful in 1m53s
Build & Deploy / Report a failed deploy (push) Skipped

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:
Logan Cusano
2026-08-27 02:49:09 -04:00
parent 5fc4e2c57b
commit d18e4f0743
7 changed files with 411 additions and 62 deletions
+252
View File
@@ -0,0 +1,252 @@
"""
The AI feature flags have to be an enforceable statement about the system,
not just about the ingest path (server-26#75, server-26#76).
Three defects motivate these tests:
#75 Correlation read the raw global config/ai_features flag instead of the
per-system resolution, so a system that had opted out via its own
ai_flags still correlated -- with empty tags, down the thin/recency
path, blindly attaching to whatever incident was most recent.
#76 Transcript correction and the transcript-PATCH extraction path checked
no Firestore flag at all, so "AI is off" still spent money.
Plus the destructive half of PATCH /calls/{id}/transcript, which wipes a
call's intelligence fields on the promise that re-extraction rebuilds them.
Firestore and the lazily-imported pipeline modules are fully mocked; the
functions are called directly rather than through FastAPI.
"""
import pytest
from unittest.mock import AsyncMock, MagicMock, patch
from fastapi import HTTPException
from app.routers import upload, calls
from app.internal import summarizer, transcription
ALL_ON = {
"stt_enabled": True,
"correlation_enabled": True,
"summaries_enabled": True,
"vocabulary_learning_enabled": True,
"transcript_correction_enabled": True,
}
def _flags(**overrides):
return {**ALL_ON, **overrides}
def _system(ai_flags):
return {"system_id": "sys-1", "ai_flags": ai_flags or {}}
def _patch_flags(global_flags, system_ai_flags):
"""Patch the two reads resolve_flags() makes: the global doc and the system doc."""
return (
patch("app.internal.feature_flags.get_flags", AsyncMock(return_value=global_flags)),
patch("app.internal.firestore.doc_get_cached",
AsyncMock(return_value=_system(system_ai_flags))),
)
# --------------------------------------------------------------------------
# resolve_flags: global master off beats everything, system false beats
# global true, absent system key inherits global.
# --------------------------------------------------------------------------
@pytest.mark.parametrize(
"global_on, system_ai_flags, expected",
[
(True, {"correlation_enabled": False}, False), # #75: system opt-out holds
(True, {}, True), # absent -> inherit global
(True, {"correlation_enabled": True}, True),
(False, {"correlation_enabled": True}, False), # global is the master switch
(False, {}, False),
],
)
@pytest.mark.asyncio
async def test_resolve_flags_precedence(global_on, system_ai_flags, expected):
g, sysdoc = _patch_flags(_flags(correlation_enabled=global_on), system_ai_flags)
with g, sysdoc:
_, flag = await upload._resolve_flags("sys-1")
assert flag("correlation_enabled") is expected
@pytest.mark.asyncio
async def test_resolve_flags_without_a_system_id_does_not_read_the_system_doc():
with patch("app.internal.feature_flags.get_flags", AsyncMock(return_value=_flags())), \
patch("app.internal.firestore.doc_get_cached", AsyncMock()) as cached:
_, flag = await upload._resolve_flags(None)
assert flag("correlation_enabled") is True
cached.assert_not_awaited()
# --------------------------------------------------------------------------
# The ingest path. This is the exact shape of #75: with the global on and the
# system opted out, extraction was skipped but the empty-scenes fallback still
# ran, correlating the call with no tags and attaching it to whatever incident
# was most recent on that system.
# --------------------------------------------------------------------------
async def _run_ingest(global_correlation, system_ai_flags):
g, sysdoc = _patch_flags(
_flags(correlation_enabled=global_correlation), system_ai_flags
)
with g, sysdoc, \
patch.object(upload, "fstore") as fs, \
patch.object(upload, "_correlate_with_consensus", AsyncMock(return_value=None)) as corr, \
patch("app.internal.transcription.transcribe_call",
AsyncMock(return_value=("units respond to main street", []))), \
patch("app.internal.intelligence.extract_scenes", AsyncMock(return_value=[])) as scenes, \
patch("app.internal.alerter.check_and_dispatch", AsyncMock()):
fs.doc_get = AsyncMock(return_value={})
fs.doc_set = AsyncMock()
await upload._run_intelligence_pipeline(
call_id="call-1",
node_id="node-1",
system_id="sys-1",
talkgroup_id=101,
talkgroup_name="PD Dispatch",
gcs_uri="gs://bucket/call-1.mp3",
)
return scenes, corr
@pytest.mark.asyncio
async def test_per_system_opt_out_blocks_the_blind_recency_fallback_too():
scenes, corr = await _run_ingest(True, {"correlation_enabled": False})
scenes.assert_not_awaited()
# The regression that mattered: the no-scenes fallback correlating on empty tags.
corr.assert_not_awaited()
@pytest.mark.asyncio
async def test_ingest_correlates_when_the_system_has_not_opted_out():
scenes, corr = await _run_ingest(True, {})
scenes.assert_awaited_once()
corr.assert_awaited_once()
# --------------------------------------------------------------------------
# _run_extraction_pipeline -- the transcript-PATCH path (#76).
# --------------------------------------------------------------------------
async def _run_extraction(global_correlation, system_ai_flags=None):
g, sysdoc = _patch_flags(
_flags(correlation_enabled=global_correlation), system_ai_flags
)
with g, sysdoc, \
patch.object(upload, "fstore") as fs, \
patch("app.internal.intelligence.extract_scenes", AsyncMock(return_value=[])) as scenes, \
patch("app.internal.alerter.check_and_dispatch", AsyncMock()) as alert:
fs.doc_set = AsyncMock()
await upload._run_extraction_pipeline(
call_id="call-1",
node_id="node-1",
system_id="sys-1",
talkgroup_id=101,
talkgroup_name="PD Dispatch",
transcript="units respond to main street",
)
return scenes, alert, fs
@pytest.mark.asyncio
async def test_extraction_does_not_spend_when_correlation_is_off():
scenes, alert, fs = await _run_extraction(False)
scenes.assert_not_awaited()
# No incidents produced, so nothing may be stamped onto the call doc.
fs.doc_set.assert_not_awaited()
# Alerting is rule-based and free -- it still runs.
alert.assert_awaited_once()
@pytest.mark.asyncio
async def test_extraction_respects_a_per_system_opt_out():
scenes, _alert, _fs = await _run_extraction(True, {"correlation_enabled": False})
scenes.assert_not_awaited()
@pytest.mark.asyncio
async def test_extraction_runs_when_the_flag_is_on():
scenes, _alert, _fs = await _run_extraction(True)
scenes.assert_awaited_once()
# --------------------------------------------------------------------------
# PATCH /calls/{id}/transcript is destructive before it is constructive.
# With correlation off it must refuse rather than blank the call out.
# --------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_transcript_patch_refuses_when_correlation_is_off():
g, sysdoc = _patch_flags(_flags(correlation_enabled=False), {})
with g, sysdoc, patch.object(calls, "fstore") as fs:
fs.doc_get = AsyncMock(return_value={"call_id": "call-1", "system_id": "sys-1"})
fs.doc_set = AsyncMock()
with pytest.raises(HTTPException) as exc:
await calls.patch_transcript(
call_id="call-1",
body=MagicMock(transcript="corrected text"),
background_tasks=MagicMock(),
_={},
)
assert exc.value.status_code == 409
# The refusal has to land before the first write, or the call is already ruined.
fs.doc_set.assert_not_awaited()
# --------------------------------------------------------------------------
# Transcript correction is a second model call plus a Places lookup (#76).
# --------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_transcript_correction_is_skipped_when_its_flag_is_off():
g, sysdoc = _patch_flags(_flags(transcript_correction_enabled=False), {})
with g, sysdoc, \
patch.object(transcription, "fstore") as fs, \
patch.object(transcription, "ai_health") as health, \
patch.object(transcription, "transcript_correction") as tc, \
patch("asyncio.to_thread", AsyncMock(return_value=("units respond", [], False))):
fs.doc_set = AsyncMock()
health.report_healthy = AsyncMock()
health.report_failure = AsyncMock()
tc.correct = AsyncMock()
await transcription.transcribe_call(
"call-1", "gs://bucket/call-1.mp3", "PD Dispatch", system_id="sys-1"
)
tc.correct.assert_not_awaited()
# --------------------------------------------------------------------------
# Summarizer: the flag guards model spend, not the free Firestore sweep.
# --------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_summarize_incident_is_a_no_op_when_summaries_are_off():
with patch("app.internal.feature_flags.get_flags",
AsyncMock(return_value=_flags(summaries_enabled=False))), \
patch.object(summarizer, "fstore") as fs, \
patch.object(summarizer, "_sync_summarize") as sync:
fs.doc_get = AsyncMock()
fs.doc_set = AsyncMock()
await summarizer._summarize_incident(
{"incident_id": "inc-1", "call_ids": ["call-1"]}
)
sync.assert_not_called()
fs.doc_get.assert_not_awaited()
fs.doc_set.assert_not_awaited()