#!/usr/bin/env python3
"""
Phase 6.3 聚合測試腳本
=======================

功能:
1. 連續打入 3 筆「同源但不同名」的測試告警
2. 證明這 3 筆告警被成功「聚合」進同一個 Incident 的 signals 陣列中
3. 驗證 affected_services 有被正確填入

使用方式:
    cd apps/api
    python scripts/test_phase63_aggregation.py

預期結果:
- 3 筆告警全部聚合到 1 個 Incident
- signals 陣列長度 = 3
- affected_services 包含 "payment-service"
"""

import asyncio
from datetime import datetime

import httpx

# API 端點
API_BASE = "http://localhost:8000"
SIGNALS_ENDPOINT = f"{API_BASE}/api/v1/webhooks/signals"

# 測試告警: 同 namespace + 同 target，不同 alert_name
# 模擬: payment-service 發生一連串相關問題
# 測試告警: 同 namespace + 同 target，不同 alert_name
# 模擬: payment-service 發生一連串相關問題
# 注意: severity 只能是 info | warning | critical (SignalPayload 定義)
TEST_ALERTS = [
    {
        "alert_name": "PaymentServiceHighLatency",
        "severity": "warning",
        "source": "prometheus",
        "namespace": "payment-prod",
        "target": "payment-service",
        "fingerprint": "fp_latency_001",
        "labels": {"namespace": "payment-prod", "pod": "payment-service-abc123"},
        "annotations": {"summary": "Payment service latency > 500ms"},
    },
    {
        "alert_name": "PaymentServiceErrorRate",
        "severity": "warning",  # 原本是 high，但 API 只接受 info|warning|critical
        "source": "prometheus",
        "namespace": "payment-prod",
        "target": "payment-service",
        "fingerprint": "fp_error_001",
        "labels": {"namespace": "payment-prod", "pod": "payment-service-abc123"},
        "annotations": {"summary": "Payment service error rate > 5%"},
    },
    {
        "alert_name": "PaymentServicePodCrash",
        "severity": "critical",
        "source": "alertmanager",
        "namespace": "payment-prod",
        "target": "payment-service",
        "fingerprint": "fp_crash_001",
        "labels": {"namespace": "payment-prod", "pod": "payment-service-abc123"},
        "annotations": {"summary": "Payment service pod crashed"},
    },
]


async def send_alert(client: httpx.AsyncClient, alert: dict, index: int) -> dict:
    """發送單一告警"""
    print(f"\n[{index+1}/3] 發送告警: {alert['alert_name']}")
    print(f"    severity: {alert['severity']}")
    print(f"    namespace: {alert['namespace']}")
    print(f"    target: {alert['target']}")

    response = await client.post(
        SIGNALS_ENDPOINT,
        json=alert,
        timeout=10.0,
    )

    result = response.json()
    print(f"    status_code: {response.status_code}")
    print(f"    message_id: {result.get('message_id', 'N/A')}")

    return result


async def check_redis_incident(client: httpx.AsyncClient) -> dict | None:
    """檢查 Redis 中的 Incident"""
    # 使用 health endpoint 確認 API 運作
    try:
        # 直接查詢 Redis (透過 API 或直接)
        # 這裡我們用 curl 模擬，但實際應該有 API
        return None
    except Exception as e:
        print(f"Error checking Redis: {e}")
        return None


async def main():
    """主測試流程"""
    print("=" * 60)
    print("Phase 6.3 聚合測試")
    print("=" * 60)
    print(f"時間: {datetime.now().isoformat()}")
    print("目標: 驗證 3 筆同源告警聚合到 1 個 Incident")
    print()

    async with httpx.AsyncClient() as client:
        # 1. 確認 API 運作
        print("[0] 檢查 API 健康狀態...")
        try:
            health = await client.get(f"{API_BASE}/api/v1/health", timeout=5.0)
            print(f"    API status: {health.status_code}")
        except Exception as e:
            print(f"    API 連線失敗: {e}")
            print("    請確認 API 已啟動: docker compose up -d")
            return

        # 2. 連續發送 3 筆告警
        print("\n" + "-" * 60)
        print("階段一: 連續發送 3 筆告警")
        print("-" * 60)

        results = []
        for i, alert in enumerate(TEST_ALERTS):
            result = await send_alert(client, alert, i)
            results.append(result)
            # 短暫等待，確保 Consumer 有時間處理
            await asyncio.sleep(0.5)

        # 3. 等待 Consumer 處理完成
        print("\n" + "-" * 60)
        print("階段二: 等待 Consumer 處理 (3 秒)")
        print("-" * 60)
        await asyncio.sleep(3)

        # 4. 輸出驗證指令
        print("\n" + "-" * 60)
        print("階段三: 驗證指令")
        print("-" * 60)
        print()
        print("請執行以下 Redis 指令檢查聚合結果:")
        print()
        print("# 1. 查看所有 Incident keys")
        print("docker exec -it awoooi-redis redis-cli KEYS 'incident:*'")
        print()
        print("# 2. 查看特定 Incident 的 JSON (取代 <INCIDENT_ID>)")
        print("docker exec -it awoooi-redis redis-cli GET 'incident:INC-XXXXXXXX-XXXXXX'")
        print()
        print("# 3. 或直接用以下指令掃描並輸出所有 Incident:")
        print("""docker exec -it awoooi-redis redis-cli --no-raw KEYS 'incident:INC-*' | xargs -I {} docker exec -i awoooi-redis redis-cli GET {}""")
        print()

        # 5. 輸出 API 日誌指令
        print("-" * 60)
        print("檢查 API 日誌:")
        print("-" * 60)
        print("docker logs awoooi-api --tail 50 | grep -E '(signal_|incident_|aggregat)'")
        print()

        # 6. 驗證標準
        print("-" * 60)
        print("驗證標準 (PASS/FAIL)")
        print("-" * 60)
        print("[ ] 只有 1 個 Incident 被建立 (非 3 個)")
        print("[ ] signals 陣列長度 = 3")
        print("[ ] affected_services 包含 'payment-service'")
        print("[ ] severity 升級為 'P0' (因為第三筆是 critical)")
        print()

        print("=" * 60)
        print("測試腳本執行完成")
        print("=" * 60)


if __name__ == "__main__":
    asyncio.run(main())