from fastapi import APIRouter, Header, HTTPException, Query
from typing import Optional
from datetime import datetime, timedelta

from ..storage.analytics_store import AnalyticsStore

router = APIRouter()

# Initialize analytics store
analytics_store = AnalyticsStore()


@router.get("/overview")
async def analytics_overview(
    x_tenant_id: str = Header(None),
    days: int = Query(30, description="Number of days to look back")
):
    """
    Returns an overview of analytics for the dashboard.
    Includes total queries, tool usage, red-flag count, and active users.
    """

    if not x_tenant_id:
        raise HTTPException(status_code=400, detail="Missing tenant ID")

    since_timestamp = int((datetime.now() - timedelta(days=days)).timestamp()) if days else None
    
    tool_usage = analytics_store.get_tool_usage_stats(x_tenant_id, since_timestamp)
    activity = analytics_store.get_activity_summary(x_tenant_id, since_timestamp)
    rag_quality = analytics_store.get_rag_quality_metrics(x_tenant_id, since_timestamp)

    return {
        "tenant_id": x_tenant_id,
        "overview": {
            "total_queries": activity["total_queries"],
            "tool_usage": tool_usage,
            "redflag_count": activity["redflag_count"],
            "active_users": activity["active_users"],
            "last_query": activity["last_query"],
            "rag_quality": rag_quality
        }
    }


@router.get("/tool-usage")
async def analytics_tool_usage(
    x_tenant_id: str = Header(None),
    days: int = Query(30, description="Number of days to look back")
):
    """
    Returns how often each tool (RAG, Web, Admin, LLM) was used with detailed stats.
    Includes counts, latency, tokens, and success/error rates.
    """

    if not x_tenant_id:
        raise HTTPException(status_code=400, detail="Missing tenant ID")

    since_timestamp = int((datetime.now() - timedelta(days=days)).timestamp()) if days else None
    tool_usage = analytics_store.get_tool_usage_stats(x_tenant_id, since_timestamp)

    return {
        "tenant_id": x_tenant_id,
        "tool_usage": tool_usage,
        "period_days": days
    }


@router.get("/redflags")
async def analytics_redflags(
    x_tenant_id: str = Header(None),
    limit: int = Query(50, description="Maximum number of violations to return"),
    days: int = Query(30, description="Number of days to look back")
):
    """
    Returns red-flag violations for this tenant.
    Includes rule details, severity, confidence, and timestamps.
    """

    if not x_tenant_id:
        raise HTTPException(status_code=400, detail="Missing tenant ID")

    since_timestamp = int((datetime.now() - timedelta(days=days)).timestamp()) if days else None
    redflags = analytics_store.get_redflag_violations(x_tenant_id, limit, since_timestamp)

    # Convert timestamps to ISO format
    for violation in redflags:
        if "timestamp" in violation:
            violation["timestamp_iso"] = datetime.fromtimestamp(violation["timestamp"]).isoformat()

    return {
        "tenant_id": x_tenant_id,
        "redflags": redflags,
        "count": len(redflags)
    }


@router.get("/activity")
async def analytics_activity(
    x_tenant_id: str = Header(None),
    days: int = Query(30, description="Number of days to look back")
):
    """
    Returns general tenant activity statistics.
    Includes total queries, active users, and last query timestamp.
    """

    if not x_tenant_id:
        raise HTTPException(status_code=400, detail="Missing tenant ID")

    since_timestamp = int((datetime.now() - timedelta(days=days)).timestamp()) if days else None
    activity = analytics_store.get_activity_summary(x_tenant_id, since_timestamp)

    return {
        "tenant_id": x_tenant_id,
        "activity": activity,
        "period_days": days
    }


@router.get("/rag-quality")
async def analytics_rag_quality(
    x_tenant_id: str = Header(None),
    days: int = Query(30, description="Number of days to look back")
):
    """
    Returns RAG quality metrics including recall/precision indicators.
    Includes average hits, scores, and latency.
    """

    if not x_tenant_id:
        raise HTTPException(status_code=400, detail="Missing tenant ID")

    since_timestamp = int((datetime.now() - timedelta(days=days)).timestamp()) if days else None
    rag_quality = analytics_store.get_rag_quality_metrics(x_tenant_id, since_timestamp)

    return {
        "tenant_id": x_tenant_id,
        "rag_quality": rag_quality,
        "period_days": days
    }