- Refactor app API and schemas; adjust surgery pipeline, repository, and session manager. - Improve consumption TSV logging and consumable vision integration; trim voice resolution. - Add Baidu Face 1:N search script, .env.example entries, and client API integration doc. - Update demo client, staging checklist, surgery interface doc, and related tests; add sample face image. Made-with: Cursor
148 lines
4.5 KiB
Python
148 lines
4.5 KiB
Python
"""consumption_log.txt 兼容 TSV 格式。"""
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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 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_tsv_line,
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init_consumption_log_file,
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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(settings, "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) == 5
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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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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 == ["item_id", "item_name", "qty", "doctor_id", "timestamp"]
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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(settings, "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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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(settings, "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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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(settings, "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 "2237844" in md
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assert "一次性医用灭菌棉签" 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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