feat: 配置写死与 baked 模块,Alembic 建表,百度仅 BAIDU_*
- 新增 app/baked/algorithm|pipeline,非部署参数不再走 env;Settings 保留 DB/HTTP/RTSP/海康/百度/MinIO/Demo - 移除 init_db_schema 与 reload 配置;main 仅 check_database;start*.sh 在 uvicorn 前执行 alembic upgrade head - 依赖 psycopg[binary] 供 Alembic 同步 URL;alembic/env 注释与预发清单更新 - 撕段门控消费管线、各视频/语音/归档调用改为 baked - 百度环境变量仅 BAIDU_APP_ID、BAIDU_API_KEY、BAIDU_SECRET_KEY 与 BAIDU_* 超时/ASR;人脸脚本与 baidu_speech 文案同步 - 全量单测与 .env.example 更新;.gitignore 忽略 refs/(本地权重/视频不入库) Made-with: Cursor
This commit is contained in:
@@ -26,6 +26,7 @@ from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_asyn
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import app.db.models # noqa: F401 # register ORM tables on Base.metadata
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import main as main_module
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from app.baked import pipeline as bp
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from app.db.base import Base
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from app.dependencies import AppContainer, build_container
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from app.domain.consumption import SurgeryConsumptionStored
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@@ -165,7 +166,6 @@ def integration_client(
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return None
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monkeypatch.setattr(main_module, "check_database", _noop)
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monkeypatch.setattr(main_module, "init_db_schema", _noop)
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class _FakeEngine:
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async def dispose(self) -> None:
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@@ -176,11 +176,10 @@ def integration_client(
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from app.config import settings as real_settings
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monkeypatch.setattr(
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real_settings,
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"archive_persist_durable_fallback_dir",
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bp,
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"ARCHIVE_PERSIST_DURABLE_FALLBACK_DIR",
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str(tmp_path / "pending_archive"),
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)
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monkeypatch.setattr(real_settings, "auto_create_schema", False)
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def _stubbed_build_container(*args, **kwargs) -> AppContainer:
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container = build_container(real_settings, session_factory=sqlite_factory)
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@@ -8,7 +8,7 @@ from datetime import datetime, timezone
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import pytest
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from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
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from app.config import Settings
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from app.baked import pipeline as bp
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from app.domain.consumption import SurgeryConsumptionStored
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from app.repositories.surgery_results import SurgeryResultRepository
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from app.services.video.archive_persister import ArchivePersister
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@@ -39,12 +39,12 @@ def _detail(item_id: str = "纱布") -> SurgeryConsumptionStored:
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async def test_persist_or_archive_writes_durable_fallback(
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tmp_path,
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sqlite_session_factory: async_sessionmaker[AsyncSession],
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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fallback_dir = tmp_path / "pending_archive"
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settings = Settings(archive_persist_durable_fallback_dir=str(fallback_dir))
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monkeypatch.setattr(bp, "ARCHIVE_PERSIST_DURABLE_FALLBACK_DIR", str(fallback_dir))
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repo = _AlwaysFailRepo()
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persister = ArchivePersister(
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settings=settings,
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repository=repo,
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session_factory=sqlite_session_factory,
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)
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@@ -62,6 +62,7 @@ async def test_persist_or_archive_writes_durable_fallback(
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async def test_recover_from_durable_fallback_reloads_pending_archive(
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tmp_path,
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sqlite_session_factory: async_sessionmaker[AsyncSession],
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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fallback_dir = tmp_path / "pending_archive"
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fallback_dir.mkdir()
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@@ -82,9 +83,8 @@ async def test_recover_from_durable_fallback_reloads_pending_archive(
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(fallback_dir / "recov01.json").write_text(
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json.dumps(payload, ensure_ascii=False), encoding="utf-8"
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)
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settings = Settings(archive_persist_durable_fallback_dir=str(fallback_dir))
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monkeypatch.setattr(bp, "ARCHIVE_PERSIST_DURABLE_FALLBACK_DIR", str(fallback_dir))
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persister = ArchivePersister(
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settings=settings,
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repository=SurgeryResultRepository(),
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session_factory=sqlite_session_factory,
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)
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@@ -20,6 +20,7 @@ from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_asyn
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import app.db.models # noqa: F401 register ORM tables
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import main as main_module
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from app.baked import pipeline as bp
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from app.db.base import Base
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from app.dependencies import AppContainer, build_container
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from app.domain.consumption import SurgeryConsumptionStored
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@@ -79,7 +80,6 @@ def test_durable_fallback_recovers_on_startup_and_persists(
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return None
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monkeypatch.setattr(main_module, "check_database", _noop)
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monkeypatch.setattr(main_module, "init_db_schema", _noop)
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class _FakeEngine:
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async def dispose(self) -> None:
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@@ -90,10 +90,11 @@ def test_durable_fallback_recovers_on_startup_and_persists(
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from app.config import settings as real_settings
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monkeypatch.setattr(
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real_settings, "archive_persist_durable_fallback_dir", str(durable_dir)
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bp,
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"ARCHIVE_PERSIST_DURABLE_FALLBACK_DIR",
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str(durable_dir),
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)
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monkeypatch.setattr(real_settings, "auto_create_schema", False)
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monkeypatch.setattr(real_settings, "archive_persist_retry_interval_seconds", 5.0)
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monkeypatch.setattr(bp, "ARCHIVE_PERSIST_RETRY_INTERVAL_SECONDS", 5.0)
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def _build(*_a, **_kw) -> AppContainer:
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return build_container(real_settings, session_factory=sqlite_factory)
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20
tests/test_baidu_unified_env.py
Normal file
20
tests/test_baidu_unified_env.py
Normal file
@@ -0,0 +1,20 @@
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"""百度凭据:仅从环境变量 BAIDU_APP_ID / BAIDU_API_KEY / BAIDU_SECRET_KEY 读入。"""
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import os
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from unittest.mock import patch
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from app.config import Settings
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def test_speech_creds_from_baidu_env_triplet() -> None:
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extra = {
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"BAIDU_APP_ID": "app-x",
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"BAIDU_API_KEY": "key-x",
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"BAIDU_SECRET_KEY": "sec-x",
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}
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with patch.dict(os.environ, extra, clear=False):
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s = Settings()
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assert s.baidu_speech_app_id == "app-x"
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assert s.baidu_speech_api_key == "key-x"
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assert s.baidu_speech_secret_key == "sec-x"
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assert s.baidu_speech_configured is True
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@@ -2,7 +2,7 @@
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import pytest
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from app.config import settings
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from app.baked import pipeline as bp
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from app.services.consumable_vision_algorithm import ClsTop3
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from app.services.consumption_tsv_log import (
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HEADER,
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@@ -25,7 +25,7 @@ def test_short_camera_label() -> None:
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def test_build_tsv_line_matches_sample_shape(monkeypatch: pytest.MonkeyPatch) -> None:
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monkeypatch.setattr(settings, "consumption_log_timezone", "UTC")
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monkeypatch.setattr(bp, "CONSUMPTION_LOG_TIMEZONE", "UTC")
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best = ClsTop3(
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t1_name="一次性医用灭菌棉签",
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t1_conf=0.9997,
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@@ -90,11 +90,11 @@ def test_replace_pending_line_with_voice_resolution_rewrites_one_row(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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"""语音确认后应替换 pending 行,而不是再多一行。"""
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monkeypatch.setattr(settings, "consumption_tsv_log_enabled", True)
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monkeypatch.setattr(settings, "consumption_log_timezone", "UTC")
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monkeypatch.setattr(bp, "CONSUMPTION_TSV_LOG_ENABLED", True)
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monkeypatch.setattr(bp, "CONSUMPTION_LOG_TIMEZONE", "UTC")
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monkeypatch.setattr(
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settings,
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"consumption_tsv_log_path",
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bp,
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"CONSUMPTION_TSV_LOG_PATH",
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str(tmp_path / "{surgery_id}.txt"),
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)
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init_consumption_log_file("SURG01")
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@@ -126,10 +126,10 @@ def test_per_surgery_file_init_and_append(
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tmp_path,
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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monkeypatch.setattr(settings, "consumption_tsv_log_enabled", True)
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monkeypatch.setattr(bp, "CONSUMPTION_TSV_LOG_ENABLED", True)
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monkeypatch.setattr(
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settings,
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"consumption_tsv_log_path",
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bp,
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"CONSUMPTION_TSV_LOG_PATH",
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str(tmp_path / "{surgery_id}.txt"),
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)
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init_consumption_log_file("or-001")
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@@ -145,10 +145,10 @@ def test_append_consumption_log_summary_appends_three_column_block(
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tmp_path,
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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monkeypatch.setattr(settings, "consumption_tsv_log_enabled", True)
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monkeypatch.setattr(bp, "CONSUMPTION_TSV_LOG_ENABLED", True)
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monkeypatch.setattr(
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settings,
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"consumption_tsv_log_path",
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bp,
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"CONSUMPTION_TSV_LOG_PATH",
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str(tmp_path / "{surgery_id}.txt"),
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)
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init_consumption_log_file("s1")
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@@ -167,7 +167,7 @@ def test_append_consumption_log_summary_appends_three_column_block(
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def test_build_consumption_markdown_top123_columns(monkeypatch: pytest.MonkeyPatch) -> None:
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monkeypatch.setattr(settings, "consumption_log_timezone", "UTC")
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monkeypatch.setattr(bp, "CONSUMPTION_LOG_TIMEZONE", "UTC")
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best = ClsTop3(
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t1_name="一次性医用灭菌棉签",
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t1_conf=0.9997,
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@@ -7,12 +7,11 @@ from unittest.mock import MagicMock
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import pytest
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from app.config import Settings
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from app.services.consumable_vision_algorithm import ConsumableVisionAlgorithmService
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def test_effective_preserves_non_empty_request() -> None:
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svc = ConsumableVisionAlgorithmService(Settings())
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svc = ConsumableVisionAlgorithmService()
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got = svc.effective_candidate_consumables([" 纱布 ", "缝线", "纱布"])
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assert got == ["纱布", "缝线"]
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@@ -22,8 +21,7 @@ def test_effective_empty_uses_model_when_yaml_has_no_names(
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) -> None:
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yml = tmp_path / "empty.yaml"
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yml.write_text("names: {}\nlabel_id: {}\n", encoding="utf-8")
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s = Settings(consumable_classifier_labels_yaml_path=str(yml))
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svc = ConsumableVisionAlgorithmService(s)
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svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
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mock_cls = MagicMock()
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mock_cls.names = {0: "ban", 1: "apple"}
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monkeypatch.setattr(svc, "_get_cls", lambda: mock_cls)
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@@ -36,8 +34,7 @@ def test_effective_empty_prefers_yaml_class_names(tmp_path: Path) -> None:
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"names:\n 0: 商品甲\n 1: 商品乙\nlabel_id:\n 0: a\n 1: b\n",
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encoding="utf-8",
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)
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s = Settings(consumable_classifier_labels_yaml_path=str(yml))
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svc = ConsumableVisionAlgorithmService(s)
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svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
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assert svc.effective_candidate_consumables([]) == ["商品甲", "商品乙"]
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@@ -46,8 +43,7 @@ def test_effective_whitespace_only_treated_as_empty(
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) -> None:
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yml = tmp_path / "empty.yaml"
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yml.write_text("names: {}\nlabel_id: {}\n", encoding="utf-8")
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s = Settings(consumable_classifier_labels_yaml_path=str(yml))
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svc = ConsumableVisionAlgorithmService(s)
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svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
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mock_cls = MagicMock()
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mock_cls.names = {0: "x"}
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monkeypatch.setattr(svc, "_get_cls", lambda: mock_cls)
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@@ -60,8 +56,7 @@ def test_build_name_mapping_from_label_id(tmp_path: Path) -> None:
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"names:\n 0: 商品A\nlabel_id:\n 0: y1/y2\n",
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encoding="utf-8",
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)
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s = Settings(consumable_classifier_labels_yaml_path=str(yml))
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svc = ConsumableVisionAlgorithmService(s)
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svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
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m = svc.build_name_mapping(["商品A"])
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assert m["商品A"] == "y1/y2"
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@@ -74,7 +69,6 @@ def test_build_name_mapping_uses_name_when_no_id_in_yaml(
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"names:\n 0: 仅表内有的\nlabel_id: {}\n",
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encoding="utf-8",
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)
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s = Settings(consumable_classifier_labels_yaml_path=str(yml))
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svc = ConsumableVisionAlgorithmService(s)
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svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
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m = svc.build_name_mapping(["仅表内有的"])
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assert m["仅表内有的"] == "仅表内有的"
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@@ -6,6 +6,7 @@ from unittest.mock import MagicMock
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import pytest
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from app.baked import pipeline as bp
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from app.config import Settings
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from app.services.consumable_vision_algorithm import (
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PredictionCandidate,
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@@ -178,9 +179,11 @@ async def test_archive_retry_loop_starts() -> None:
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@pytest.mark.asyncio
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async def test_handle_skips_below_voice_floor() -> None:
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async def test_handle_skips_below_voice_floor(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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settings = Settings()
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settings.video_voice_confirm_min_confidence = 0.5
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monkeypatch.setattr(bp, "VIDEO_VOICE_CONFIRM_MIN_CONFIDENCE", 0.5)
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mgr = CameraSessionManager(
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settings=settings,
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vision_algorithm=MagicMock(),
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@@ -248,10 +251,12 @@ async def test_handle_high_conf_top1_not_in_candidates_enqueues_pending() -> Non
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@pytest.mark.asyncio
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async def test_handle_mid_confidence_enqueues_pending() -> None:
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async def test_handle_mid_confidence_enqueues_pending(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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settings = Settings()
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settings.video_auto_confirm_confidence = 0.8
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settings.video_voice_confirm_min_confidence = 0.3
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monkeypatch.setattr(bp, "VIDEO_AUTO_CONFIRM_CONFIDENCE", 0.8)
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monkeypatch.setattr(bp, "VIDEO_VOICE_CONFIRM_MIN_CONFIDENCE", 0.3)
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mgr = CameraSessionManager(
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settings=settings,
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vision_algorithm=MagicMock(),
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@@ -274,10 +279,12 @@ async def test_handle_mid_confidence_enqueues_pending() -> None:
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@pytest.mark.asyncio
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async def test_handle_voice_disabled_no_pending_for_mid_conf() -> None:
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async def test_handle_voice_disabled_no_pending_for_mid_conf(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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settings = Settings()
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settings.voice_confirmation_enabled = False
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settings.video_auto_confirm_confidence = 0.8
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monkeypatch.setattr(bp, "VOICE_CONFIRMATION_ENABLED", False)
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monkeypatch.setattr(bp, "VIDEO_AUTO_CONFIRM_CONFIDENCE", 0.8)
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mgr = CameraSessionManager(
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settings=settings,
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vision_algorithm=MagicMock(),
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@@ -296,9 +303,11 @@ async def test_handle_voice_disabled_no_pending_for_mid_conf() -> None:
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@pytest.mark.asyncio
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async def test_handle_vision_cooldown_skips_duplicate() -> None:
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async def test_handle_vision_cooldown_skips_duplicate(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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settings = Settings()
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settings.video_detail_cooldown_sec = 3600.0
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monkeypatch.setattr(bp, "VIDEO_DETAIL_COOLDOWN_SEC", 3600.0)
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mgr = CameraSessionManager(
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settings=settings,
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vision_algorithm=MagicMock(),
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@@ -317,9 +326,11 @@ async def test_handle_vision_cooldown_skips_duplicate() -> None:
|
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|
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@pytest.mark.asyncio
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async def test_handle_pending_dedupe_cooldown() -> None:
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async def test_handle_pending_dedupe_cooldown(
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monkeypatch: pytest.MonkeyPatch,
|
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) -> None:
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settings = Settings()
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settings.video_detail_cooldown_sec = 3600.0
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monkeypatch.setattr(bp, "VIDEO_DETAIL_COOLDOWN_SEC", 3600.0)
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mgr = CameraSessionManager(
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settings=settings,
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vision_algorithm=MagicMock(),
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@@ -9,6 +9,7 @@ from unittest.mock import MagicMock
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import pytest
|
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from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
|
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|
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from app.baked import pipeline as bp
|
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from app.config import Settings
|
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from app.domain.consumption import SurgeryConsumptionStored
|
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from app.repositories.surgery_results import SurgeryResultRepository
|
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@@ -86,8 +87,11 @@ async def test_stop_surgery_failed_persist_goes_to_archive_then_retry_persists(
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monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
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repo = _FlakyResultRepo()
|
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settings = Settings(
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archive_persist_durable_fallback_dir=str(tmp_path / "pending_archive")
|
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settings = Settings()
|
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monkeypatch.setattr(
|
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bp,
|
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"ARCHIVE_PERSIST_DURABLE_FALLBACK_DIR",
|
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str(tmp_path / "pending_archive"),
|
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)
|
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mgr = CameraSessionManager(
|
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settings=settings,
|
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|
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70
tests/test_tear_gated_segment_consumption.py
Normal file
70
tests/test_tear_gated_segment_consumption.py
Normal file
@@ -0,0 +1,70 @@
|
||||
"""撕段门控 + 段合并的纯逻辑单测(不加载 YOLO)。"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import numpy as np
|
||||
import pytest
|
||||
|
||||
from app.services.tear_gated_segment_consumption.product_map import (
|
||||
load_tear_segment_name_to_id,
|
||||
resolve_tear_segment_labels_yaml_path,
|
||||
)
|
||||
from app.services.tear_gated_segment_consumption.runner import haocai_mean_topk
|
||||
from app.services.tear_gated_segment_consumption.segments import merge_tear_segments
|
||||
|
||||
|
||||
def test_merge_tear_segments_one_valid() -> None:
|
||||
dt = 0.04
|
||||
rows: list[tuple[int, float, bool, str]] = [
|
||||
(i, i * dt, True, "A") for i in range(40)
|
||||
]
|
||||
segs = merge_tear_segments(
|
||||
rows,
|
||||
min_tear_sec=1.2,
|
||||
min_gap_sec=1.0,
|
||||
)
|
||||
assert len(segs) == 1
|
||||
assert segs[0]["start_frame"] == 0
|
||||
assert segs[0]["end_frame"] == 39
|
||||
|
||||
|
||||
def test_haocai_mean_topk() -> None:
|
||||
names = {0: "A", 1: "B"}
|
||||
a = np.array([0.2, 0.8, 0.0], dtype=np.float32)
|
||||
b = np.array([0.2, 0.8, 0.0], dtype=np.float32)
|
||||
t1, c1, t2, c2, t3, c3 = haocai_mean_topk([a, b], names)
|
||||
assert t1 == "B"
|
||||
assert abs(c1 - 0.8) < 1e-5
|
||||
|
||||
|
||||
def test_load_tear_segment_name_to_id_uses_package_yaml() -> None:
|
||||
p = resolve_tear_segment_labels_yaml_path()
|
||||
assert p.name == "consumable_classifier_labels.yaml"
|
||||
m = load_tear_segment_name_to_id()
|
||||
assert "一次性使用灭菌橡胶外科手套" in m or len(m) >= 1
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_append_confirmed_detail_tear_cooldown_keys() -> None:
|
||||
"""同 item_id 多段在独立 cooldown_key 下应都能写入。"""
|
||||
from app.services.video.session_registry import SurgerySessionRegistry, SurgerySessionState
|
||||
|
||||
reg = SurgerySessionRegistry()
|
||||
st = SurgerySessionState(candidate_consumables=["X"], name_to_code={"X": "id1"})
|
||||
await reg.append_confirmed_detail(
|
||||
state=st,
|
||||
item_id="SAME",
|
||||
item_name="A",
|
||||
doctor_id="d",
|
||||
source="tear_segment",
|
||||
cooldown_key="s1:seg:1",
|
||||
)
|
||||
await reg.append_confirmed_detail(
|
||||
state=st,
|
||||
item_id="SAME",
|
||||
item_name="A",
|
||||
doctor_id="d",
|
||||
source="tear_segment",
|
||||
cooldown_key="s1:seg:2",
|
||||
)
|
||||
assert len(st.details) == 2
|
||||
@@ -5,7 +5,9 @@ from __future__ import annotations
|
||||
import tempfile
|
||||
from pathlib import Path
|
||||
|
||||
from app.config import Settings
|
||||
import pytest
|
||||
|
||||
from app.baked import pipeline as bp
|
||||
from app.services.voice_file_log import (
|
||||
append_voice_tsv_line,
|
||||
emit_voice_event,
|
||||
@@ -14,38 +16,46 @@ from app.services.voice_file_log import (
|
||||
)
|
||||
|
||||
|
||||
def test_resolved_voice_log_path_replaces_surgery_id() -> None:
|
||||
s = Settings()
|
||||
s.voice_file_log_path = "logs/voice_{surgery_id}.txt"
|
||||
p = resolved_voice_log_path("123456", s)
|
||||
def test_resolved_voice_log_path_replaces_surgery_id(
|
||||
monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
||||
monkeypatch.setattr(bp, "VOICE_FILE_LOG_PATH", "logs/voice_{surgery_id}.txt")
|
||||
p = resolved_voice_log_path("123456")
|
||||
assert p.name == "voice_123456.txt"
|
||||
assert "logs" in str(p)
|
||||
|
||||
|
||||
def test_init_and_append_tsv() -> None:
|
||||
def test_init_and_append_tsv(monkeypatch: pytest.MonkeyPatch) -> None:
|
||||
with tempfile.TemporaryDirectory() as d:
|
||||
base = Path(d)
|
||||
s = Settings()
|
||||
s.voice_file_log_enabled = True
|
||||
s.voice_file_log_path = str((base / "v_{surgery_id}.txt").resolve())
|
||||
init_voice_log_file("999999", s)
|
||||
p = resolved_voice_log_path("999999", s)
|
||||
monkeypatch.setattr(bp, "VOICE_FILE_LOG_ENABLED", True)
|
||||
monkeypatch.setattr(
|
||||
bp,
|
||||
"VOICE_FILE_LOG_PATH",
|
||||
str((base / "v_{surgery_id}.txt").resolve()),
|
||||
)
|
||||
init_voice_log_file("999999")
|
||||
p = resolved_voice_log_path("999999")
|
||||
assert p.exists()
|
||||
h = p.read_text(encoding="utf-8")
|
||||
assert "来源" in h and "confirmation_id" in h
|
||||
line = "ts\ttest\trecognized\tcid1\t同\t品\tfalse\t\tk.wav\n"
|
||||
append_voice_tsv_line("999999", line, s)
|
||||
append_voice_tsv_line("999999", line)
|
||||
assert p.read_text(encoding="utf-8").endswith(line)
|
||||
|
||||
|
||||
def test_emit_voice_event_writes_when_enabled() -> None:
|
||||
s = Settings()
|
||||
s.voice_file_log_enabled = True
|
||||
def test_emit_voice_event_writes_when_enabled(
|
||||
monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
||||
monkeypatch.setattr(bp, "VOICE_FILE_LOG_ENABLED", True)
|
||||
with tempfile.TemporaryDirectory() as d:
|
||||
s.voice_file_log_path = str((Path(d) / "v_{surgery_id}.txt").resolve())
|
||||
init_voice_log_file("111111", s)
|
||||
monkeypatch.setattr(
|
||||
bp,
|
||||
"VOICE_FILE_LOG_PATH",
|
||||
str((Path(d) / "v_{surgery_id}.txt").resolve()),
|
||||
)
|
||||
init_voice_log_file("111111")
|
||||
emit_voice_event(
|
||||
s,
|
||||
surgery_id="111111",
|
||||
source="wav",
|
||||
status="recognized",
|
||||
@@ -55,7 +65,7 @@ def test_emit_voice_event_writes_when_enabled() -> None:
|
||||
rejected=False,
|
||||
audio_object_key="k.wav",
|
||||
)
|
||||
p = resolved_voice_log_path("111111", s)
|
||||
p = resolved_voice_log_path("111111")
|
||||
body = p.read_text(encoding="utf-8")
|
||||
assert "纱布" in body
|
||||
assert "recognized" in body
|
||||
|
||||
@@ -11,6 +11,7 @@ from unittest.mock import MagicMock
|
||||
import pytest
|
||||
from sqlalchemy import func, select
|
||||
|
||||
from app.baked import pipeline as bp
|
||||
from app.config import Settings
|
||||
from app.db.models import VoiceConfirmationAudit
|
||||
from app.repositories.voice_audits import VoiceAuditRepository
|
||||
@@ -105,7 +106,7 @@ async def test_resolve_recognized_appends_voice_detail_and_audit(
|
||||
monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
||||
settings = Settings()
|
||||
settings.voice_upload_max_bytes = 10 * 1024 * 1024
|
||||
monkeypatch.setattr(bp, "VOICE_UPLOAD_MAX_BYTES", 10 * 1024 * 1024)
|
||||
sessions, cid = _active_session_with_pending()
|
||||
minio = MagicMock()
|
||||
minio.configured = True
|
||||
@@ -245,7 +246,7 @@ async def test_audio_too_large_audit(
|
||||
monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
||||
settings = Settings()
|
||||
settings.voice_upload_max_bytes = 10
|
||||
monkeypatch.setattr(bp, "VOICE_UPLOAD_MAX_BYTES", 10)
|
||||
sessions, cid = _active_session_with_pending()
|
||||
minio = MagicMock()
|
||||
minio.configured = True
|
||||
|
||||
Reference in New Issue
Block a user