8a4bad99d3
- 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
73 lines
2.2 KiB
Python
73 lines
2.2 KiB
Python
"""Tests for voice TSV + emit_voice_event (path + TSV line)."""
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from __future__ import annotations
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import tempfile
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from pathlib import Path
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import pytest
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from app.baked import pipeline as bp
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from app.services.voice_file_log import (
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append_voice_tsv_line,
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emit_voice_event,
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init_voice_log_file,
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resolved_voice_log_path,
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)
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def test_resolved_voice_log_path_replaces_surgery_id(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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monkeypatch.setattr(bp, "VOICE_FILE_LOG_PATH", "logs/voice_{surgery_id}.txt")
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p = resolved_voice_log_path("123456")
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assert p.name == "voice_123456.txt"
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assert "logs" in str(p)
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def test_init_and_append_tsv(monkeypatch: pytest.MonkeyPatch) -> None:
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with tempfile.TemporaryDirectory() as d:
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base = Path(d)
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monkeypatch.setattr(bp, "VOICE_FILE_LOG_ENABLED", True)
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monkeypatch.setattr(
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bp,
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"VOICE_FILE_LOG_PATH",
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str((base / "v_{surgery_id}.txt").resolve()),
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)
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init_voice_log_file("999999")
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p = resolved_voice_log_path("999999")
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assert p.exists()
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h = p.read_text(encoding="utf-8")
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assert "来源" in h and "confirmation_id" in h
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line = "ts\ttest\trecognized\tcid1\t同\t品\tfalse\t\tk.wav\n"
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append_voice_tsv_line("999999", line)
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assert p.read_text(encoding="utf-8").endswith(line)
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def test_emit_voice_event_writes_when_enabled(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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monkeypatch.setattr(bp, "VOICE_FILE_LOG_ENABLED", True)
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with tempfile.TemporaryDirectory() as d:
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monkeypatch.setattr(
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bp,
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"VOICE_FILE_LOG_PATH",
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str((Path(d) / "v_{surgery_id}.txt").resolve()),
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)
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init_voice_log_file("111111")
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emit_voice_event(
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surgery_id="111111",
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source="wav",
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status="recognized",
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confirmation_id="c1",
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asr_text="纱布",
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resolved_label="纱布",
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rejected=False,
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audio_object_key="k.wav",
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)
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p = resolved_voice_log_path("111111")
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body = p.read_text(encoding="utf-8")
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assert "纱布" in body
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assert "recognized" in body
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assert "k.wav" in body
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