leocrm/app/core/monitoring.py

"""Monitoring: Prometheus metrics, structured JSON logging, health checks."""

from __future__ import annotations

from typing import Any

import structlog
from prometheus_client import (
    CollectorRegistry,
    Counter,
    Gauge,
    Histogram,
    generate_latest,
)
from sqlalchemy import text

from app.core.db import get_engine

# ─── Prometheus Metrics Registry ───

REGISTRY = CollectorRegistry()

http_requests_total = Counter(
    "leocrm_http_requests_total",
    "Total HTTP requests by method, path, and status",
    ["method", "path", "status"],
    registry=REGISTRY,
)

http_request_duration_seconds = Histogram(
    "leocrm_http_request_duration_seconds",
    "HTTP request duration in seconds",
    ["method", "path"],
    registry=REGISTRY,
    buckets=(0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1.0, 2.5, 5.0, 10.0),
)

db_pool_connections = Gauge(
    "leocrm_db_pool_connections",
    "Database connection pool size",
    registry=REGISTRY,
)

arq_jobs_total = Counter(
    "leocrm_arq_jobs_total",
    "Total ARQ background jobs by function and status",
    ["function", "status"],
    registry=REGISTRY,
)


# ─── Structured Logging (structlog) ───

structlog.configure(
    processors=[
        structlog.contextvars.merge_contextvars,
        structlog.processors.add_log_level,
        structlog.processors.TimeStamper(fmt="iso"),
        structlog.processors.JSONRenderer(),
    ],
    wrapper_class=structlog.make_filtering_bound_logger(20),  # INFO level
    cache_logger_on_first_use=True,
)

logger = structlog.get_logger("leocrm")


def get_logger(name: str = "leocrm") -> structlog.stdlib.BoundLogger:
    """Get a structured logger instance."""
    return structlog.get_logger(name)


def record_request(
    method: str,
    path: str,
    status_code: int,
    duration_ms: float,
    tenant_id: str | None = None,
) -> None:
    """Record an API request in metrics and structured log."""
    http_requests_total.labels(method=method, path=path, status=str(status_code)).inc()
    http_request_duration_seconds.labels(method=method, path=path).observe(
        duration_ms / 1000.0
    )
    logger.info(
        "api_request",
        method=method,
        path=path,
        status=status_code,
        duration_ms=round(duration_ms, 2),
        tenant_id=tenant_id,
    )


def record_error(
    event: str,
    method: str,
    path: str,
    status_code: int,
    error: str,
    traceback_str: str | None = None,
    tenant_id: str | None = None,
) -> None:
    """Log an error with stacktrace and request context."""
    logger.error(
        event=event,
        method=method,
        path=path,
        status=status_code,
        error=error,
        traceback=traceback_str,
        tenant_id=tenant_id,
    )


def update_db_pool_gauge() -> None:
    """Update the DB pool connections gauge from the current engine."""
    engine = get_engine()
    pool = engine.pool
    db_pool_connections.set(pool.size() + pool.checkedout())


def record_arq_job(function: str, status: str) -> None:
    """Record an ARQ background job completion."""
    arq_jobs_total.labels(function=function, status=status).inc()


def generate_metrics() -> bytes:
    """Generate Prometheus-formatted metrics output."""
    update_db_pool_gauge()
    return generate_latest(REGISTRY)


# ─── Health Checks ───


async def check_database() -> dict[str, Any]:
    """Check database connectivity (async, no blocking I/O)."""
    try:
        engine = get_engine()
        async with engine.connect() as conn:
            result = await conn.execute(text("SELECT 1"))
            result.scalar()
        return {"status": "up", "latency_ms": 0}
    except Exception as e:
        return {"status": "down", "error": str(e)}


async def check_redis() -> dict[str, Any]:
    """Check Redis connectivity (async)."""
    try:
        import redis.asyncio as aioredis

        from app.config import get_settings

        settings = get_settings()
        r = aioredis.from_url(settings.redis_url, decode_responses=True)
        pong = await r.ping()
        await r.aclose()
        if pong:
            return {"status": "up", "latency_ms": 0}
        return {"status": "down", "error": "Redis returned False for PING"}
    except Exception as e:
        return {"status": "down", "error": str(e)}


async def check_storage() -> dict[str, Any]:
    """Check storage directory accessibility."""
    import os

    from app.config import get_settings

    settings = get_settings()
    storage_path = getattr(settings, "storage_path", "/tmp")
    try:
        if os.path.exists(storage_path) and os.access(storage_path, os.W_OK):  # noqa: ASYNC240
            return {"status": "up", "path": storage_path}
        return {"status": "down", "error": f"Storage path {storage_path} not writable"}
    except Exception as e:
        return {"status": "down", "error": str(e)}


async def check_worker() -> dict[str, Any]:
    """Check if ARQ worker process is reachable (best-effort).
    In test/dev mode this checks if Redis is available for the worker queue.
    """
    try:
        import redis.asyncio as aioredis

        from app.config import get_settings

        settings = get_settings()
        r = aioredis.from_url(settings.redis_url, decode_responses=True)
        # Check if arq queue key exists
        queue_length = await r.llen("arq:queue")
        await r.aclose()
        return {"status": "up", "queue_length": queue_length}
    except Exception as e:
        return {"status": "down", "error": str(e)}


async def get_health_status() -> dict[str, Any]:
    """Run all health checks and return aggregated status."""
    db_result = await check_database()
    redis_result = await check_redis()
    storage_result = await check_storage()
    worker_result = await check_worker()

    all_up = all(
        c["status"] == "up"
        for c in [db_result, redis_result, storage_result, worker_result]
    )

    if all_up:
        overall_status = "healthy"
    elif db_result["status"] == "down":
        overall_status = "degraded"
    else:
        overall_status = "degraded"

    return {
        "status": overall_status,
        "version": "1.0.0",
        "checks": {
            "database": db_result,
            "redis": redis_result,
            "storage": storage_result,
            "worker": worker_result,
        },
    }