"""
AWOOOI Alert Chain Metrics
===========================
ADR-037 Wave A.5: 告警鏈路 Prometheus 指標

用於監控告警鏈路健康狀態:
- Webhook 請求計數與延遲
- 告警處理成功率
- 異常頻率統計

版本: v1.0
建立: 2026-03-29 (台北時區)
建立者: Claude Code (Phase 21 ADR-037)
"""

from prometheus_client import Counter, Gauge, Histogram

# =============================================================================
# Webhook Metrics (告警來源: Alertmanager/Sentry/SignOz)
# =============================================================================

WEBHOOK_REQUESTS_TOTAL = Counter(
    "awoooi_webhook_requests_total",
    "Total webhook requests received",
    ["source", "status"],  # source: alertmanager/sentry/signoz, status: success/error
)

WEBHOOK_LATENCY_HISTOGRAM = Histogram(
    "awoooi_webhook_latency_seconds",
    "Webhook processing latency in seconds",
    ["source"],
    buckets=[0.1, 0.5, 1, 2, 5, 10, 30],
)

# =============================================================================
# Alert Processing Metrics (告警處理)
# =============================================================================

ALERT_PROCESSED_TOTAL = Counter(
    "awoooi_alerts_processed_total",
    "Total alerts processed",
    ["source", "severity", "outcome"],  # outcome: incident_created/deduped/ignored
)

INCIDENT_CREATED_TOTAL = Counter(
    "awoooi_incidents_created_total",
    "Total incidents created from alerts",
    ["source", "severity"],
)

TELEGRAM_NOTIFICATIONS_TOTAL = Counter(
    "awoooi_telegram_notifications_total",
    "Total Telegram notifications sent",
    ["source", "status"],  # status: success/failed
)

# =============================================================================
# Anomaly Counter Metrics (ADR-037)
# =============================================================================

ANOMALY_RECORDED_TOTAL = Counter(
    "awoooi_anomaly_recorded_total",
    "Total anomalies recorded to counter",
    ["alert_name", "service"],
)

ANOMALY_ESCALATION_TOTAL = Counter(
    "awoooi_anomaly_escalation_total",
    "Total anomaly escalations",
    ["level"],  # level: REPEAT/ESCALATE/PERMANENT_FIX
)

ANOMALY_FREQUENCY_GAUGE = Gauge(
    "awoooi_anomaly_frequency_24h",
    "Current 24h anomaly frequency",
    ["anomaly_key"],
)

# =============================================================================
# Auto Repair Metrics
# =============================================================================

AUTO_REPAIR_ATTEMPTS_TOTAL = Counter(
    "awoooi_auto_repair_attempts_total",
    "Total auto repair attempts",
    ["action", "tier", "outcome"],  # outcome: success/failed/skipped
)

AUTO_REPAIR_SUCCESS_RATE = Gauge(
    "awoooi_auto_repair_success_rate",
    "Auto repair success rate by action",
    ["action"],
)

# =============================================================================
# Alert Chain Health Metrics
# =============================================================================

ALERT_CHAIN_LAST_SUCCESS = Gauge(
    "awoooi_alert_chain_last_success_timestamp",
    "Last successful alert chain completion timestamp",
    ["source"],
)

ALERT_CHAIN_HEALTHY = Gauge(
    "awoooi_alert_chain_healthy",
    "Alert chain health status (1=healthy, 0=unhealthy)",
    ["source"],
)

# =============================================================================
# Sentry Comment Metrics
# =============================================================================

SENTRY_COMMENT_TOTAL = Counter(
    "awoooi_sentry_comment_total",
    "Total Sentry comments posted",
    ["status"],  # status: success/failed/skipped
)

# =============================================================================
# Learning Service Metrics (ADR-037 Phase G)
# =============================================================================

LEARNING_SKIP_TOTAL = Counter(
    "awoooi_learning_skip_total",
    "Actions skipped due to low success rate",
    ["action"],
)


# =============================================================================
# Ollama 容災指標 (P2.3, 2026-04-26 台北時區)
# 建立者: Claude Sonnet 4.6 (tool-expert, P2.3)
#
# 對應告警規則: ops/monitoring/ollama_health_rules.yaml
#
# 使用位置:
#   - ollama_failover_manager.py: OLLAMA_FAILOVER_TRIGGERED_TOTAL, AI_ROUTER_PROVIDER_TOTAL
#   - ollama_auto_recovery.py:    OLLAMA_RECOVERY_TRIGGERED_TOTAL
#   - ollama_health_monitor.py:   OLLAMA_HEALTH_STATUS
#   - main.py lifespan / background task: GEMINI_DAILY_CALL_COUNT, GEMINI_DAILY_QUOTA
#
# Backlog（需設計後另行補入）：
#   - ollama_inference_duration_seconds (Histogram) — 需在 _check_inference() 裡 observe
#   - post_execution_verification_failed_total / _total — 需 auto_repair_service.py 補入
# =============================================================================

OLLAMA_FAILOVER_TRIGGERED_TOTAL = Counter(
    "ollama_failover_triggered_total",
    "Ollama failover events (primary switched away from ollama_111)",
    ["from_provider", "to_provider"],
)

OLLAMA_RECOVERY_TRIGGERED_TOTAL = Counter(
    "ollama_recovery_triggered_total",
    "Ollama auto-recovery events (primary switched back to ollama_111)",
    ["from_provider"],
)

OLLAMA_HEALTH_STATUS = Gauge(
    "ollama_health_status",
    "Ollama instance health (1=healthy, 0=not_healthy/offline)",
    ["host"],  # host: "111" or "188"
)

OLLAMA_CURRENT_PRIMARY_IS_OLLAMA = Gauge(
    "ollama_current_primary_is_ollama",
    "Whether the current primary AI provider is ollama_111 (1=yes, 0=no)",
)

AI_ROUTER_PROVIDER_TOTAL = Counter(
    "ai_router_selected_provider_total",
    "AI router provider selection count (all routing decisions)",
    ["provider"],
)

GEMINI_DAILY_CALL_COUNT = Gauge(
    "gemini_daily_call_count",
    "Gemini API calls made today (read from Redis ollama:gemini_daily_count:{date})",
)

GEMINI_DAILY_QUOTA = Gauge(
    "gemini_daily_quota",
    "Gemini API daily call quota (from settings.GEMINI_DAILY_QUOTA)",
)

# =============================================================================
# DIAGNOSE Fallback Metrics (A2 INC-20260425, 2026-04-27 台北時區)
# 建立者: Claude Sonnet 4.6 (fullstack-engineer, A2)
#
# 背景: INC-20260425 NIM timeout 後 fallback 到 Ollama CPU 238s 造成二次 timeout。
#       統帥批准 A+B 雙修，A2 移除 Ollama + 新增 fallback 計數 metric，
#       閾值告警由獨立 Prometheus rule 定義（不在本任務範圍）。
#
# 使用位置:
#   - ai_router.py: record_diagnose_fallback() 在 executor fallback 觸發時呼叫
#
# 告警建議 (供 Prometheus rule 設計參考):
#   rate(aiops_diagnose_fallback_total[1m]) > 0.5  → 警告
#   rate(aiops_diagnose_fallback_total[5m]) > 0.2  → 嚴重
# =============================================================================

AIOPS_DIAGNOSE_FALLBACK_TOTAL = Counter(
    "aiops_diagnose_fallback_total",
    "DIAGNOSE intent fallback events (from_provider → to_provider)",
    ["from_provider", "to_provider"],
)

# 2026-04-27 Claude Sonnet 4.6: F6 — metric 寫入失敗計數器
# 觸發條件: ai_router.py 的 diagnose_fallback_metric_failed except 分支
# 用途: 讓 Prometheus 可觀測 metric 管道是否有問題（silent swallow 升 warning + counter）
# 告警參考: rate(aiops_diagnose_fallback_metric_error_total[5m]) > 0 → 調查 metrics.py import 鏈
AIOPS_DIAGNOSE_FALLBACK_METRIC_ERROR_TOTAL = Counter(
    "aiops_diagnose_fallback_metric_error_total",
    "Failures when writing aiops_diagnose_fallback_total metric (indicates metric pipeline issue)",
)


def record_diagnose_fallback(from_provider: str, to_provider: str) -> None:
    """記錄 DIAGNOSE fallback 事件（per-provider pair 計數）

    2026-04-27 Claude Sonnet 4.6: A2 INC-20260425
    呼叫方: ai_router.py AIRouterExecutor.execute() 的 DIAGNOSE fallback 路徑

    Args:
        from_provider: 失敗的 provider 名稱（e.g. "openclaw_nemo"）
        to_provider: 下一個嘗試的 provider 名稱（e.g. "gemini"）
    """
    AIOPS_DIAGNOSE_FALLBACK_TOTAL.labels(
        from_provider=from_provider,
        to_provider=to_provider,
    ).inc()


# =============================================================================
# P3.1-T1 Tier-1 三服務整合 Metrics (2026-04-27 台北時區)
# 建立者: Claude Sonnet 4.6 (P3.1-T1)
#
# ROLLBACK_EXECUTED_TOTAL: rollback_manager 整合到 auto_repair_service._verify_and_learn
# RESOURCE_RESOLVE_TOTAL:  resource_resolver 整合到 approval_execution.execute_approved_action
# =============================================================================

ROLLBACK_EXECUTED_TOTAL = Counter(
    "rollback_executed_total",
    "K8s rollback executions triggered by PostExecutionVerifier failure",
    ["status", "reason"],
)

RESOURCE_RESOLVE_TOTAL = Counter(
    "resource_resolve_total",
    "Resource resolver attempts in approval execution",
    ["result"],  # hit / miss / suggestion / error
)

# =============================================================================
# ADR-100 / ADR-104 Flywheel Emitter Metrics
# =============================================================================

PLAYBOOK_GENERATION_TOTAL = Counter(
    "playbook_generation_total",
    "LLM Playbook generation and governance outcomes",
    ["outcome", "source"],
)

PLAYBOOK_STATUS_TOTAL = Gauge(
    "playbook_status_total",
    "Playbook lifecycle status observations from generation/governance",
    ["status", "source"],
)


def record_playbook_generation(outcome: str, source: str) -> None:
    """Record Playbook generation/governance outcome."""
    PLAYBOOK_GENERATION_TOTAL.labels(outcome=outcome, source=source).inc()


def observe_playbook_status(status: str, source: str) -> None:
    """Expose latest observed Playbook lifecycle status."""
    PLAYBOOK_STATUS_TOTAL.labels(status=status, source=source).set(1)

# =============================================================================
# Solver MCP Registry Metrics (H2, 2026-04-27 台北時區)
# 建立者: Claude Sonnet 4.6 (fullstack-engineer, B1 Fix Round)
#
# H2+vuln-V3+V4 — registry 健康監控
# 攻擊場景：registry 載入失敗時 LLM 可自創任意 mcp_tool → 繞過白名單
# 防護：載入失敗立即 set status=error，Prometheus 可設告警
#
# 使用位置:
#   - solver_agent.py: _load_mcp_tool_registry() 呼叫後更新
#
# status 值：
#   ok    — 載入成功，registry 含 ≥ 1 個 action
#   empty — 載入成功但 registry 為空（YAML 空格式）
#   error — 載入失敗（檔案不存在、YAML 格式錯誤等）
# =============================================================================

SOLVER_MCP_REGISTRY_LOADED = Gauge(
    "aiops_solver_mcp_registry_loaded",
    "MCP registry load status for Solver Agent (1=active status, 0=inactive)",
    ["status"],  # ok / empty / error
)


# =============================================================================
# Helper Functions
# =============================================================================

def record_webhook_request(source: str, status: str, latency: float) -> None:
    """記錄 Webhook 請求指標"""
    WEBHOOK_REQUESTS_TOTAL.labels(source=source, status=status).inc()
    WEBHOOK_LATENCY_HISTOGRAM.labels(source=source).observe(latency)


def record_alert_processed(source: str, severity: str, outcome: str) -> None:
    """記錄告警處理指標"""
    ALERT_PROCESSED_TOTAL.labels(
        source=source, severity=severity, outcome=outcome
    ).inc()


def record_telegram_notification(source: str, success: bool) -> None:
    """記錄 Telegram 通知指標"""
    status = "success" if success else "failed"
    TELEGRAM_NOTIFICATIONS_TOTAL.labels(source=source, status=status).inc()


def record_anomaly(alert_name: str, service: str, frequency_24h: int, escalation_level: str | None) -> None:
    """記錄異常頻率指標"""
    ANOMALY_RECORDED_TOTAL.labels(alert_name=alert_name, service=service).inc()

    if escalation_level:
        ANOMALY_ESCALATION_TOTAL.labels(level=escalation_level).inc()


def record_auto_repair(action: str, tier: int, success: bool) -> None:
    """記錄自動修復指標"""
    outcome = "success" if success else "failed"
    AUTO_REPAIR_ATTEMPTS_TOTAL.labels(
        action=action, tier=str(tier), outcome=outcome
    ).inc()


def record_alert_chain_success(source: str) -> None:
    """記錄告警鏈路成功完成"""
    import time
    ALERT_CHAIN_LAST_SUCCESS.labels(source=source).set(time.time())
    ALERT_CHAIN_HEALTHY.labels(source=source).set(1)


def record_alert_chain_failure(source: str) -> None:
    """記錄告警鏈路失敗"""
    ALERT_CHAIN_HEALTHY.labels(source=source).set(0)