e4c6127619
- Add top1_name/top1_conf to TSV and show top1–3 in pending markdown - Add 相对开录 column and pass since_recording_start from surgery start - Track surgery_started_wall and format_elapsed_mmss_since in session registry - Remove ffmpeg stream_loop from synthetic/demo fake RTSP (play once) - Fix fake_rtsp_from_file poll loop indentation; update README - Extend consumption TSV tests; add face test PNGs under tests/faces Made-with: Cursor
239 lines
7.3 KiB
Python
239 lines
7.3 KiB
Python
"""consumption_log.txt 兼容 TSV 格式。"""
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import pytest
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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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SUMMARY_HEADER,
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_RANGE_SEP,
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append_consumption_log_summary,
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append_consumption_tsv_line,
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build_consumption_markdown,
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build_pending_consumption_markdown,
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build_tsv_line,
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init_consumption_log_file,
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replace_pending_line_with_voice_resolution,
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resolve_consumption_item_id,
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short_camera_label,
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)
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def test_short_camera_label() -> None:
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assert short_camera_label("or-cam-01") == "cam01"
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assert short_camera_label("or-cam-2") == "cam02"
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def test_build_tsv_line_matches_sample_shape(monkeypatch: pytest.MonkeyPatch) -> None:
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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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t2_name="cls2",
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t2_conf=0.0003,
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t3_name="cls3",
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t3_conf=0.0002,
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t1_pid="2237844",
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t2_pid="11765-1-101",
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t3_pid="21504-1-1",
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)
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# 墙钟：拉流起点对齐到 2024-01-01T00:00:00Z，时间窗 +0s…+45s
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w0 = 1704067200.0
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line = build_tsv_line(
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name_to_code={},
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best=best,
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doctor_id="DOCTOR_PLACEHOLDER",
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camera_id="or-cam-01",
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wall_start_epoch=w0,
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wall_end_epoch=w0 + 45.0,
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)
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parts = line.rstrip("\n").split("\t")
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assert len(parts) == 11
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assert parts[0] == "2237844"
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assert parts[1] == "一次性医用灭菌棉签"
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assert parts[2] == "1"
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assert parts[3] == "DOCTOR_PLACEHOLDER"
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assert (
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parts[4]
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== "cam01@2024-01-01T00:00:00.000+00:00"
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+ _RANGE_SEP
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+ "2024-01-01T00:00:45.000+00:00"
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)
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assert parts[5] == "一次性医用灭菌棉签"
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assert parts[6] == "0.9997"
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assert parts[7] == "cls2"
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assert parts[8] == "0.0003"
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assert parts[9] == "cls3"
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assert parts[10] == "0.0002"
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def test_resolve_consumption_item_id_uses_normalized_catalog_key() -> None:
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name_to_code = {"一次性使用手术单（一次性医用垫单）": "PID-900"}
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assert resolve_consumption_item_id("一次性医用垫单", "", name_to_code) == "PID-900"
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def test_header_columns() -> None:
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cols = HEADER.strip().split("\t")
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assert cols == [
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"item_id",
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"item_name",
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"qty",
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"doctor_id",
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"timestamp",
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"top1_name",
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"top1_conf",
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"top2_name",
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"top2_conf",
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"top3_name",
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"top3_conf",
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]
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def test_replace_pending_line_with_voice_resolution_rewrites_one_row(
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tmp_path: object,
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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(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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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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pending = (
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"pending:abc-123\t待确认\t1\tvision\t"
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"cam01@2024-01-01T00:00:00.000+00:00"
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f"{_RANGE_SEP}2024-01-01T00:00:45.000+00:00\t"
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"一次性针头\t0.5000\tx\t0.1\ty\t0.2\n"
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)
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append_consumption_tsv_line("SURG01", pending)
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replace_pending_line_with_voice_resolution(
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surgery_id="SURG01",
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confirmation_id="abc-123",
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name_to_code={"纱布": "G1"},
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chosen_label="纱布",
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doctor_id="voice",
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wall_epoch=1704067200.0,
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)
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text = (tmp_path / "SURG01.txt").read_text(encoding="utf-8")
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assert "待确认" not in text
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assert "pending:abc-123" not in text
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assert "纱布" in text
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assert "G1" in text
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# HEADER + 恰好一行数据
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data_lines = [ln for ln in text.splitlines() if ln and not ln.startswith("item_id\t")]
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assert len(data_lines) == 1
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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(bp, "CONSUMPTION_TSV_LOG_ENABLED", True)
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monkeypatch.setattr(
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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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append_consumption_tsv_line("or-001", "row1\n")
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append_consumption_tsv_line("or-001", "row2\n")
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p = tmp_path / "or-001.txt"
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assert p.read_text(encoding="utf-8") == HEADER + "row1\n" + "row2\n"
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init_consumption_log_file("or-001")
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assert p.read_text(encoding="utf-8") == HEADER
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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(bp, "CONSUMPTION_TSV_LOG_ENABLED", True)
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monkeypatch.setattr(
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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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append_consumption_tsv_line("s1", "x\n")
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append_consumption_log_summary(
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"s1",
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{"A": ("nA", 2), "B": ("nB", 1)},
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)
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text = (tmp_path / "s1.txt").read_text(encoding="utf-8")
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assert text.endswith(
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"\n"
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+ SUMMARY_HEADER
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+ "A\tnA\t2\n"
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+ "B\tnB\t1\n"
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)
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def test_build_consumption_markdown_top123_columns(monkeypatch: pytest.MonkeyPatch) -> None:
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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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t2_name="cls2",
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t2_conf=0.0003,
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t3_name="cls3",
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t3_conf=0.0002,
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t1_pid="2237844",
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t2_pid="11765-1-101",
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t3_pid="21504-1-1",
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)
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w0 = 1704067200.0
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md = build_consumption_markdown(
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name_to_code={},
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best=best,
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doctor_id="DOCTOR_PLACEHOLDER",
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camera_id="or-cam-01",
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wall_start_epoch=w0,
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wall_end_epoch=w0 + 45.0,
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)
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assert "| item_id |" in md and "| item_name |" in md and "| qty |" in md
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assert "| 相对开录 |" in md
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assert "| top2 |" in md and "| top3 |" in md
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assert "2237844" in md
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assert "一次性医用灭菌棉签" in md
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assert "cls2" in md and "cls3" in md
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assert "DOCTOR_PLACEHOLDER" in md
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assert "| 1 |" in md
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# 终端为可读时间戳，非落盘用 ISO@cam
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assert "2024-01-01 00:00:00.000" in md and "2024-01-01 00:00:45.000" in md
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assert "cam01" in md and " · " in md and _RANGE_SEP in md
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assert "cam01@2024-01" not in md
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assert "| DOCTOR_PLACEHOLDER | — |" in md
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def test_build_pending_consumption_markdown_top123(monkeypatch: pytest.MonkeyPatch) -> None:
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monkeypatch.setattr(bp, "CONSUMPTION_LOG_TIMEZONE", "UTC")
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snap = ClsTop3(
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t1_name="输液器A",
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t1_conf=0.88,
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t2_name="候选二",
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t2_conf=0.07,
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t3_name="候选三",
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t3_conf=0.02,
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t1_pid="",
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t2_pid="",
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t3_pid="",
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)
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w0 = 1704067200.0
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md = build_pending_consumption_markdown(
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confirmation_id="cid-1",
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model_snap=snap,
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doctor_id="vision",
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camera_id="or-cam-01",
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wall_start_epoch=w0,
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wall_end_epoch=w0 + 15.0,
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since_recording_start="0分15秒",
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)
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assert "| top1 | top2 | top3 |" in md
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assert "输液器A (0.8800)" in md
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assert "候选二 (0.0700)" in md
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assert "候选三 (0.0200)" in md
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