"""consumption_log.txt 兼容 TSV 格式。"""

import pytest

from app.baked import pipeline as bp
from app.services.consumable_vision_algorithm import ClsTop3
from app.services.consumption_tsv_log import (
    HEADER,
    SUMMARY_HEADER,
    _RANGE_SEP,
    append_consumption_log_summary,
    append_consumption_tsv_line,
    build_consumption_markdown,
    build_tsv_line,
    init_consumption_log_file,
    replace_pending_line_with_voice_resolution,
    resolve_consumption_item_id,
    short_camera_label,
)


def test_short_camera_label() -> None:
    assert short_camera_label("or-cam-01") == "cam01"
    assert short_camera_label("or-cam-2") == "cam02"


def test_build_tsv_line_matches_sample_shape(monkeypatch: pytest.MonkeyPatch) -> None:
    monkeypatch.setattr(bp, "CONSUMPTION_LOG_TIMEZONE", "UTC")
    best = ClsTop3(
        t1_name="一次性医用灭菌棉签",
        t1_conf=0.9997,
        t2_name="cls2",
        t2_conf=0.0003,
        t3_name="cls3",
        t3_conf=0.0002,
        t1_pid="2237844",
        t2_pid="11765-1-101",
        t3_pid="21504-1-1",
    )
    # 墙钟：拉流起点对齐到 2024-01-01T00:00:00Z，时间窗 +0s…+45s
    w0 = 1704067200.0
    line = build_tsv_line(
        name_to_code={},
        best=best,
        doctor_id="DOCTOR_PLACEHOLDER",
        camera_id="or-cam-01",
        wall_start_epoch=w0,
        wall_end_epoch=w0 + 45.0,
    )
    parts = line.rstrip("\n").split("\t")
    assert len(parts) == 9
    assert parts[0] == "2237844"
    assert parts[1] == "一次性医用灭菌棉签"
    assert parts[2] == "1"
    assert parts[3] == "DOCTOR_PLACEHOLDER"
    assert (
        parts[4]
        == "cam01@2024-01-01T00:00:00.000+00:00"
        + _RANGE_SEP
        + "2024-01-01T00:00:45.000+00:00"
    )
    assert parts[5] == "cls2"
    assert parts[6] == "0.0003"
    assert parts[7] == "cls3"
    assert parts[8] == "0.0002"


def test_resolve_consumption_item_id_uses_normalized_catalog_key() -> None:
    name_to_code = {"一次性使用手术单（一次性医用垫单）": "PID-900"}
    assert resolve_consumption_item_id("一次性医用垫单", "", name_to_code) == "PID-900"


def test_header_columns() -> None:
    cols = HEADER.strip().split("\t")
    assert cols == [
        "item_id",
        "item_name",
        "qty",
        "doctor_id",
        "timestamp",
        "top2_name",
        "top2_conf",
        "top3_name",
        "top3_conf",
    ]


def test_replace_pending_line_with_voice_resolution_rewrites_one_row(
    tmp_path: object,
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    """语音确认后应替换 pending 行，而不是再多一行。"""
    monkeypatch.setattr(bp, "CONSUMPTION_TSV_LOG_ENABLED", True)
    monkeypatch.setattr(bp, "CONSUMPTION_LOG_TIMEZONE", "UTC")
    monkeypatch.setattr(
        bp,
        "CONSUMPTION_TSV_LOG_PATH",
        str(tmp_path / "{surgery_id}.txt"),
    )
    init_consumption_log_file("SURG01")
    pending = (
        "pending:abc-123\t待确认\t1\tvision\t"
        "cam01@2024-01-01T00:00:00.000+00:00"
        f"{_RANGE_SEP}2024-01-01T00:00:45.000+00:00\tx\t0.1\ty\t0.2\n"
    )
    append_consumption_tsv_line("SURG01", pending)
    replace_pending_line_with_voice_resolution(
        surgery_id="SURG01",
        confirmation_id="abc-123",
        name_to_code={"纱布": "G1"},
        chosen_label="纱布",
        doctor_id="voice",
        wall_epoch=1704067200.0,
    )
    text = (tmp_path / "SURG01.txt").read_text(encoding="utf-8")
    assert "待确认" not in text
    assert "pending:abc-123" not in text
    assert "纱布" in text
    assert "G1" in text
    # HEADER + 恰好一行数据
    data_lines = [ln for ln in text.splitlines() if ln and not ln.startswith("item_id\t")]
    assert len(data_lines) == 1


def test_per_surgery_file_init_and_append(
    tmp_path,
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    monkeypatch.setattr(bp, "CONSUMPTION_TSV_LOG_ENABLED", True)
    monkeypatch.setattr(
        bp,
        "CONSUMPTION_TSV_LOG_PATH",
        str(tmp_path / "{surgery_id}.txt"),
    )
    init_consumption_log_file("or-001")
    append_consumption_tsv_line("or-001", "row1\n")
    append_consumption_tsv_line("or-001", "row2\n")
    p = tmp_path / "or-001.txt"
    assert p.read_text(encoding="utf-8") == HEADER + "row1\n" + "row2\n"
    init_consumption_log_file("or-001")
    assert p.read_text(encoding="utf-8") == HEADER


def test_append_consumption_log_summary_appends_three_column_block(
    tmp_path,
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    monkeypatch.setattr(bp, "CONSUMPTION_TSV_LOG_ENABLED", True)
    monkeypatch.setattr(
        bp,
        "CONSUMPTION_TSV_LOG_PATH",
        str(tmp_path / "{surgery_id}.txt"),
    )
    init_consumption_log_file("s1")
    append_consumption_tsv_line("s1", "x\n")
    append_consumption_log_summary(
        "s1",
        {"A": ("nA", 2), "B": ("nB", 1)},
    )
    text = (tmp_path / "s1.txt").read_text(encoding="utf-8")
    assert text.endswith(
        "\n"
        + SUMMARY_HEADER
        + "A\tnA\t2\n"
        + "B\tnB\t1\n"
    )


def test_build_consumption_markdown_top123_columns(monkeypatch: pytest.MonkeyPatch) -> None:
    monkeypatch.setattr(bp, "CONSUMPTION_LOG_TIMEZONE", "UTC")
    best = ClsTop3(
        t1_name="一次性医用灭菌棉签",
        t1_conf=0.9997,
        t2_name="cls2",
        t2_conf=0.0003,
        t3_name="cls3",
        t3_conf=0.0002,
        t1_pid="2237844",
        t2_pid="11765-1-101",
        t3_pid="21504-1-1",
    )
    w0 = 1704067200.0
    md = build_consumption_markdown(
        name_to_code={},
        best=best,
        doctor_id="DOCTOR_PLACEHOLDER",
        camera_id="or-cam-01",
        wall_start_epoch=w0,
        wall_end_epoch=w0 + 45.0,
    )
    assert "| item_id |" in md and "| item_name |" in md and "| qty |" in md
    assert "| top2 |" in md and "| top3 |" in md
    assert "2237844" in md
    assert "一次性医用灭菌棉签" in md
    assert "cls2" in md and "cls3" in md
    assert "DOCTOR_PLACEHOLDER" in md
    assert "| 1 |" in md
    # 终端为可读时间戳，非落盘用 ISO@cam
    assert "2024-01-01 00:00:00.000" in md and "2024-01-01 00:00:45.000" in md
    assert "cam01" in md and " · " in md and _RANGE_SEP in md
    assert "cam01@2024-01" not in md