"""
dedup.py 测试 — DATA-01 30天窗口去重验证
使用 asyncio.run() 运行异步函数（避免依赖 pytest-asyncio）
"""
from __future__ import annotations

import asyncio
from unittest.mock import AsyncMock, MagicMock

import pytest

from app.services.ingest.dedup import batch_dedup_filter, build_insert_row
from app.services.ingest.registry import PlatformConfig, DedupFieldSpec


# ─── 辅助工厂函数 ─────────────────────────────────────
def _make_config_single(table: str = "boss_job") -> PlatformConfig:
    return PlatformConfig(
        platform="boss", channel="mini", data_type="job",
        table=table,
        dedup_fields=(DedupFieldSpec(column="job_id", extractor=lambda d: d.get("jobId")),),
    )


def _make_config_double(table: str = "qcwy_job") -> PlatformConfig:
    return PlatformConfig(
        platform="qcwy", channel="mini", data_type="job",
        table=table,
        dedup_fields=(
            DedupFieldSpec(column="job_id", extractor=lambda d: d.get("jobId")),
            DedupFieldSpec(column="update_date_time", extractor=lambda d: d.get("updateDt")),
        ),
    )


def _make_mock_client(rows: list) -> AsyncMock:
    mock_result = MagicMock()
    mock_result.result_rows = rows
    mock_client = AsyncMock()
    mock_client.query.return_value = mock_result
    return mock_client


def _make_rows(job_ids: list[str]) -> tuple[list[str], list[list]]:
    columns = ["id", "json_data", "channel", "created_at", "updated_at", "job_id"]
    values = [[0, "{}", "mini", None, None, jid] for jid in job_ids]
    return columns, values


def _make_double_rows(pairs: list[tuple[str, str]]) -> tuple[list[str], list[list]]:
    columns = ["id", "json_data", "channel", "created_at", "updated_at", "job_id", "update_date_time"]
    values = [[0, "{}", "mini", None, None, jid, udt] for jid, udt in pairs]
    return columns, values


def _run(coro):
    return asyncio.get_event_loop().run_until_complete(coro)


# ─── 测试：单字段去重 ─────────────────────────────────

def test_single_field_dedup_within_30_days():
    """30 天内有相同 job_id → 视为重复，过滤"""
    mock_client = _make_mock_client([("JOB001",)])  # 已存在

    config = _make_config_single()
    columns, values = _make_rows(["JOB001", "JOB002"])
    rows = [{"jobId": "JOB001"}, {"jobId": "JOB002"}]

    filtered, ignored = _run(batch_dedup_filter(mock_client, config, rows, columns, values))

    assert ignored == 1
    assert len(filtered) == 1
    assert filtered[0][5] == "JOB002"

    # 验证 SQL 包含 30 天窗口
    sql = mock_client.query.call_args[0][0]
    assert "INTERVAL 30 DAY" in sql, f"SQL 应包含 INTERVAL 30 DAY，实际: {sql}"


def test_single_field_dedup_no_existing():
    """无现有记录 → 允许全部入库"""
    mock_client = _make_mock_client([])

    config = _make_config_single()
    columns, values = _make_rows(["JOB_NEW_1", "JOB_NEW_2"])
    rows = [{"jobId": "JOB_NEW_1"}, {"jobId": "JOB_NEW_2"}]

    filtered, ignored = _run(batch_dedup_filter(mock_client, config, rows, columns, values))

    assert ignored == 0
    assert len(filtered) == 2


def test_single_field_dedup_sql_has_30_day_window():
    """验证单字段 dedup SQL 中包含 30 天时间窗口"""
    mock_client = _make_mock_client([])

    config = _make_config_single()
    columns, values = _make_rows(["JOB_X"])
    rows = [{"jobId": "JOB_X"}]

    _run(batch_dedup_filter(mock_client, config, rows, columns, values))

    assert mock_client.query.called
    sql = mock_client.query.call_args[0][0]
    assert "INTERVAL 30 DAY" in sql


# ─── 测试：双字段去重 ─────────────────────────────────

def test_double_field_dedup_within_30_days():
    """30 天内双字段都匹配 → 视为重复，过滤"""
    mock_client = _make_mock_client([("JOB001", "2026-03-01")])  # 已存在

    config = _make_config_double()
    columns, values = _make_double_rows([("JOB001", "2026-03-01"), ("JOB002", "2026-03-10")])
    rows = [{"jobId": "JOB001", "updateDt": "2026-03-01"}, {"jobId": "JOB002", "updateDt": "2026-03-10"}]

    filtered, ignored = _run(batch_dedup_filter(mock_client, config, rows, columns, values))

    assert ignored == 1
    assert len(filtered) == 1
    sql = mock_client.query.call_args[0][0]
    assert "INTERVAL 30 DAY" in sql


def test_dedup_empty_input():
    """空 all_values → 直接返回，不调用 ClickHouse"""
    mock_client = AsyncMock()
    config = _make_config_single()
    columns = ["id", "json_data", "channel", "created_at", "updated_at", "job_id"]

    filtered, ignored = _run(batch_dedup_filter(mock_client, config, [], columns, []))

    assert ignored == 0
    assert filtered == []
    mock_client.query.assert_not_called()


# ─── 测试：build_insert_row ────────────────────────────

def test_build_insert_row_has_channel():
    """build_insert_row 生成的列中包含 channel 和 job_id"""
    config = _make_config_single()
    data = {"jobId": "JOB999"}

    columns, values = build_insert_row(config, data, "mini")

    assert "channel" in columns
    channel_idx = columns.index("channel")
    assert values[channel_idx] == "mini"
    assert "job_id" in columns
    job_id_idx = columns.index("job_id")
    assert values[job_id_idx] == "JOB999"