#!/usr/bin/env python3
"""预算偏差告警归因回填 —— yanxue-20260914-budget-p13p14-activation（P1-③ 激活）

两类动作:
  1) attribution 为空的历史 open 告警 → 走现成接口 GET /budget/deviation-alerts/{id}/attribution
     （端点在响应前现场组装归因并落库，见 app/api/budget.py:1004-1012）
  2) 已有旧口径归因的告警 → 用修正后的科目口径重算覆盖（旧值见 /root/WB_WS/_backups/p13p14-20260914/）
另: scenario_id 为空且 alert_type 命中 scenario_suggestions → 补 scenario_id（让告警"能解释、能关"）

用法:
  /usr/bin/python3 scripts/kpi_alert_attribution_backfill.py            # dry-run
  /usr/bin/python3 scripts/kpi_alert_attribution_backfill.py --apply
"""
import json
import os
import sys
import urllib.error
import urllib.request

if __name__ == "__main__":
    sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from app.database import get_session_local
from app.models import BudgetDeviationAlert, KPIDefinition, ScenarioSuggestion
from app.utils.alert_attribution import build_attribution, match_scenario

API = "http://127.0.0.1:8010"
SECRET = "/root/.hermes/profiles/wecom-fullstack/.secrets/cma-admin.env"
OUT = "/tmp/budget-p13p14/attribution-conclusions.json"


def load_env(path):
    vals = {}
    with open(path) as fh:
        for line in fh:
            line = line.strip()
            if line and not line.startswith("#") and "=" in line:
                k, v = line.split("=", 1)
                vals[k.strip()] = v.strip()
    return vals


def api(method, path, body=None, token=None):
    data = json.dumps(body).encode() if body is not None else None
    req = urllib.request.Request(API + path, data=data, method=method)
    req.add_header("Content-Type", "application/json")
    if token:
        req.add_header("Authorization", f"Bearer {token}")
    try:
        with urllib.request.urlopen(req, timeout=90) as r:
            return r.status, json.loads(r.read().decode())
    except urllib.error.HTTPError as e:
        return e.code, {"_error": e.read().decode()[:200]}


def conclusion(alert, kpi, attribution, scenario):
    dims = attribution.get("dimensions") or []
    subs = attribution.get("subjects") or []
    trend = attribution.get("trend") or {}
    vtype = attribution.get("variance_type")
    hot = [s for s in subs if abs(s.get("amount_diff") or 0) > 0.01][:3]
    sub_txt = "; ".join(
        f"{s['subject_code']} {s.get('subject_name','')} {s['amount_diff']:+.2f}元(权重{s.get('weight')})"
        for s in hot) or "（科目明细为空：该KPI无可用取数映射，见报告§未接通清单）"
    dim_txt = "; ".join(
        f"{d.get('kpi_name')} 偏差{d.get('deviation_value')}" for d in dims
        if d.get("deviation_value") is not None and abs(d["deviation_value"]) > 0.01) or "无下级KPI层级"
    trend_txt = (f"{trend.get('type')}({trend.get('message')})" if trend.get("anomaly")
                 else "无连续3期异常")
    return (
        f"[{alert.id}] {kpi.kpi_code if kpi else alert.kpi_id} {alert.period}: "
        f"实际{alert.actual_value} vs 预算{alert.budget_value}（偏差{alert.deviation_rate}%, {alert.alert_level}）| "
        f"场景={alert.alert_type or '未分类'}{'(建议:' + scenario['title'] + ')' if scenario else ''} | "
        f"量价={vtype} | 主科目={sub_txt} | 子KPI={dim_txt} | 趋势={trend_txt}"
    )


def main():
    apply = "--apply" in sys.argv
    sec = load_env(SECRET)
    st, login = api("POST", "/api/cma/auth/login",
                    {"username": sec["CMA_ADMIN_USER"], "password": sec["CMA_ADMIN_PASS"], "entity_id": 1})
    token = login.get("token")
    print(f"login: HTTP {st} entity={login.get('entity_short_name')}")

    db = get_session_local()()
    try:
        alerts = db.query(BudgetDeviationAlert).filter(
            BudgetDeviationAlert.entity_id == 1).order_by(BudgetDeviationAlert.id).all()
        print(f"== 告警: {len(alerts)} 条（open {sum(1 for a in alerts if a.status == 'open')}）")

        api_filled, recomputed, scenario_filled = 0, 0, 0
        lines = []
        for a in alerts:
            kpi = db.query(KPIDefinition).filter(KPIDefinition.id == a.kpi_id).first()
            had = a.attribution is not None

            if not had and apply:
                # 1) 现成接口路径：现场组装并落库
                st_a, resp = api("GET", f"/api/cma/budget/deviation-alerts/{a.id}/attribution", token=token)
                if st_a == 200:
                    api_filled += 1
                db.expire(a)  # 端点已 commit，重读
                a = db.query(BudgetDeviationAlert).filter(BudgetDeviationAlert.id == a.id).first()
            elif had and apply:
                # 2) 旧口径 → 按修正科目口径重算
                att, inferred = build_attribution(db, a.kpi_id, a.period, a.alert_type)
                a.attribution = att
                if a.alert_type is None:
                    a.alert_type = inferred
                recomputed += 1

            scenario = match_scenario(db, a.alert_type)
            if scenario and a.scenario_id is None and apply:
                a.scenario_id = scenario["scenario_id"]
                scenario_filled += 1

            att_now = a.attribution or {}
            lines.append({
                "id": a.id, "kpi_id": a.kpi_id, "kpi_code": kpi.kpi_code if kpi else None,
                "period": a.period, "status": a.status, "alert_level": a.alert_level,
                "budget_value": a.budget_value, "actual_value": a.actual_value,
                "deviation_rate": a.deviation_rate, "alert_type": a.alert_type,
                "scenario_id": a.scenario_id, "has_attribution": bool(a.attribution),
                "attribution_keys": sorted(att_now.keys()),
                "view": conclusion(a, kpi, att_now, scenario),
            })

        if apply:
            db.commit()

        for row in lines:
            print(row["view"])

        with open(OUT, "w") as fh:
            json.dump(lines, fh, ensure_ascii=False, indent=1)
        print(f"\n== 输出结论: {OUT} ({len(lines)} 条)")

        n_attr = db.query(BudgetDeviationAlert).filter(
            BudgetDeviationAlert.entity_id == 1,
            BudgetDeviationAlert.attribution.isnot(None)).count()
        total = db.query(BudgetDeviationAlert).filter(BudgetDeviationAlert.entity_id == 1).count()
        n_open = db.query(BudgetDeviationAlert).filter(
            BudgetDeviationAlert.entity_id == 1, BudgetDeviationAlert.status == "open").count()
        n_scen = db.query(BudgetDeviationAlert).filter(
            BudgetDeviationAlert.entity_id == 1,
            BudgetDeviationAlert.scenario_id.isnot(None)).count()
        print(f"== 归因覆盖: {n_attr}/{total}（open {n_open}）| scenario_id 已补: {n_scen} | "
              f"接口落库 {api_filled} / 重算 {recomputed} / 场景补全 {scenario_filled}"
              f"{'' if apply else ' [dry-run 未写库]'}")
    finally:
        db.close()


if __name__ == "__main__":
    main()