import os
import sys
from datetime import datetime, timedelta

import pytest
from fastapi.testclient import TestClient

PROJECT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
if PROJECT_DIR not in sys.path:
    sys.path.insert(0, PROJECT_DIR)

from app.db import altcoin_db
from app.web import web_server


@pytest.fixture
def temp_db(monkeypatch, tmp_path):
    db_path = tmp_path / "altcoin_monitor.db"
    monkeypatch.setattr(altcoin_db, "DB_PATH", str(db_path))
    monkeypatch.setattr(web_server, "init_db", altcoin_db.init_db)
    monkeypatch.setattr(web_server, "get_review_stats", altcoin_db.get_review_stats)
    monkeypatch.setattr(web_server, "get_stats", altcoin_db.get_stats)
    altcoin_db.init_db()
    return db_path


def test_iteration_log_roundtrip_and_summary(temp_db):
    altcoin_db.log_strategy_iteration(
        run_date="2026-04-29",
        trigger_source="daily_review",
        title="缩小滞后指标权重",
        summary="复盘发现 MACD/RSI 追涨假信号偏多，降低滞后指标基础权重。",
        findings=[
            "过去 5 次失败案例里，4 次同时出现滞后指标共振但没有前瞻量价确认",
            "横盘样本集中在仅有 MACD/RSI 共振的票",
        ],
        problems=[
            "滞后指标在启动末端给出追涨确认，导致入场过晚",
        ],
        actions=[
            "category_base_weights.滞后: 0.5 → 0.3",
            "kill_min_samples: 5 → 4",
        ],
        changed_rules=[
            {"field": "category_base_weights.滞后", "old": 0.5, "new": 0.3},
            {"field": "kill_min_samples", "old": 5, "new": 4},
        ],
        metrics={"reviews_done": 6, "fail_count": 4, "new_rules": 1},
        related_symbols=["DOGE/USDT", "PEPE/USDT"],
        pollution_summary={
            "window_days": 7,
            "effective_start": "2026-04-22T00:00:00",
            "contaminated_symbol_count": 2,
            "screening_hit_count": 3,
            "recommendation_hit_count": 1,
            "contaminated_symbols": ["EUR/USDT", "USD1/USDT"],
            "layer_counts": {"coarse": 2, "fine": 1},
        },
    )
    altcoin_db.log_strategy_iteration(
        run_date="2026-04-29",
        trigger_source="manual",
        title="补充等待回踩过滤",
        summary="将追高型候选延后到回踩确认。",
        findings=["爆发前 1H 放量但偏离 5EMA 过远的票，回撤概率上升"],
        problems=["原有即刻买入条件对急拉币容忍度过高"],
        actions=["新增 wait_pullback 场景说明"],
        changed_rules=[],
        metrics={"affected_candidates": 3},
        related_symbols=["FIL/USDT"],
    )

    logs = altcoin_db.get_strategy_iteration_logs(limit=10)
    assert len(logs) == 2
    assert logs[0]["title"] == "补充等待回踩过滤"
    assert logs[1]["changed_rules"][0]["field"] == "category_base_weights.滞后"
    assert logs[1]["metrics"]["reviews_done"] == 6
    assert logs[1]["pollution_summary"]["contaminated_symbol_count"] == 2
    assert logs[1]["pollution_summary"]["contaminated_symbols"] == ["EUR/USDT", "USD1/USDT"]

    summary = altcoin_db.get_strategy_iteration_summary(days=30)
    assert summary["total_logs"] == 2
    assert summary["unique_run_days"] == 1
    assert summary["trigger_counts"]["daily_review"] == 1
    assert summary["trigger_counts"]["manual"] == 1
    assert summary["change_rule_count"] == 2
    assert summary["recent_titles"][0] == "补充等待回踩过滤"


def test_review_api_exposes_iteration_logs(temp_db):
    altcoin_db.log_strategy_iteration(
        run_date="2026-04-29",
        trigger_source="daily_review",
        title="新增失败案例日志化",
        summary="把问题和动作拆开记录到网站。",
        findings=["用户需要直接看到每天改了什么"],
        problems=["之前只有复盘结果，没有策略修改过程记录"],
        actions=["新增 strategy_iteration_log 表与 review 页面展示"],
        changed_rules=[{"field": "ui.review.iteration_log", "old": False, "new": True}],
        metrics={"items": 1},
        related_symbols=["FIL/USDT"],
        pollution_summary={
            "window_days": 7,
            "effective_start": "2026-04-22T00:00:00",
            "contaminated_symbol_count": 1,
            "screening_hit_count": 1,
            "recommendation_hit_count": 0,
            "contaminated_symbols": ["EUR/USDT"],
            "layer_counts": {"coarse": 1},
        },
    )

    client = TestClient(web_server.app)
    resp = client.get("/api/review")
    assert resp.status_code == 200
    data = resp.json()
    assert data["iteration_summary"]["total_logs"] == 1
    assert data["iteration_logs"][0]["title"] == "新增失败案例日志化"
    assert data["iteration_logs"][0]["changed_rules"][0]["field"] == "ui.review.iteration_log"
    assert data["iteration_logs"][0]["pollution_summary"]["contaminated_symbol_count"] == 1
    assert data["iteration_logs"][0]["pollution_summary"]["contaminated_symbols"] == ["EUR/USDT"]