mirror of
https://github.com/Routstr/routstr-core.git
synced 2026-08-09 02:54:37 +00:00
feat: Add usage tracking and analytics dashboard
Co-authored-by: db2002dominic <db2002dominic@gmail.com>
This commit is contained in:
co-authored by
db2002dominic
parent
14ae4ecce3
commit
765b3e6fd8
+321
-2
@@ -1,9 +1,10 @@
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import json
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import secrets
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from datetime import datetime, timezone
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from collections import defaultdict
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from datetime import datetime, timedelta, timezone
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from pathlib import Path
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from fastapi import APIRouter, Depends, HTTPException, Request
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from fastapi import APIRouter, Depends, HTTPException, Query, Request
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from fastapi.responses import HTMLResponse, RedirectResponse
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from pydantic import BaseModel
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from sqlmodel import select
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@@ -2865,3 +2866,321 @@ h1 { color: #333; }
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.no-logs { text-align: center; color: #666; padding: 40px; }
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.request-id-display { background-color: #e9ecef; padding: 10px; border-radius: 4px; margin-bottom: 20px; font-family: monospace; }
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"""
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def _parse_log_file(file_path: Path) -> list[dict]:
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"""Parse JSON log file and return list of log entries."""
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entries: list[dict] = []
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try:
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with open(file_path) as f:
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for line in f:
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try:
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entry = json.loads(line.strip())
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entries.append(entry)
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except json.JSONDecodeError:
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continue
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except Exception as e:
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logger.error(f"Error reading log file {file_path}: {e}")
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return entries
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def _aggregate_metrics_by_time(
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entries: list[dict], interval_minutes: int, hours_back: int = 24
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) -> dict[str, list[dict]]:
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"""Aggregate log metrics into time buckets."""
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now = datetime.now(timezone.utc)
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cutoff = now - timedelta(hours=hours_back)
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time_buckets: dict[str, dict[str, int]] = defaultdict(
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lambda: {
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"total_requests": 0,
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"successful_chat_completions": 0,
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"failed_requests": 0,
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"errors": 0,
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"warnings": 0,
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"payment_processed": 0,
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"upstream_errors": 0,
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}
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)
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for entry in entries:
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try:
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timestamp_str = entry.get("asctime", "")
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if not timestamp_str:
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continue
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log_time = datetime.strptime(timestamp_str, "%Y-%m-%d %H:%M:%S")
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log_time = log_time.replace(tzinfo=timezone.utc)
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if log_time < cutoff:
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continue
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bucket_time = log_time.replace(
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minute=(log_time.minute // interval_minutes) * interval_minutes,
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second=0,
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microsecond=0,
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)
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bucket_key = bucket_time.isoformat()
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message = entry.get("message", "").lower()
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level = entry.get("levelname", "").upper()
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if level == "ERROR":
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time_buckets[bucket_key]["errors"] += 1
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elif level == "WARNING":
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time_buckets[bucket_key]["warnings"] += 1
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if "received proxy request" in message:
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time_buckets[bucket_key]["total_requests"] += 1
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if "token adjustment completed for non-streaming" in message:
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time_buckets[bucket_key]["successful_chat_completions"] += 1
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elif "token adjustment completed for streaming" in message:
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time_buckets[bucket_key]["successful_chat_completions"] += 1
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if "upstream request failed" in message or "revert payment" in message:
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time_buckets[bucket_key]["failed_requests"] += 1
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if "payment processed successfully" in message:
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time_buckets[bucket_key]["payment_processed"] += 1
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if "upstream" in message and level == "ERROR":
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time_buckets[bucket_key]["upstream_errors"] += 1
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except Exception:
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continue
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result = []
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for bucket_key in sorted(time_buckets.keys()):
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result.append({"timestamp": bucket_key, **time_buckets[bucket_key]})
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return {
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"metrics": result,
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"interval_minutes": interval_minutes,
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"hours_back": hours_back,
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"total_buckets": len(result),
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}
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def _get_summary_stats(entries: list[dict], hours_back: int = 24) -> dict:
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"""Calculate summary statistics from log entries."""
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now = datetime.now(timezone.utc)
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cutoff = now - timedelta(hours=hours_back)
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stats = {
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"total_entries": 0,
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"total_requests": 0,
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"successful_chat_completions": 0,
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"failed_requests": 0,
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"total_errors": 0,
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"total_warnings": 0,
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"payment_processed": 0,
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"upstream_errors": 0,
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"unique_models": set(),
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"error_types": defaultdict(int),
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}
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for entry in entries:
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try:
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timestamp_str = entry.get("asctime", "")
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if not timestamp_str:
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continue
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log_time = datetime.strptime(timestamp_str, "%Y-%m-%d %H:%M:%S")
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log_time = log_time.replace(tzinfo=timezone.utc)
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if log_time < cutoff:
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continue
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stats["total_entries"] += 1
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message = entry.get("message", "").lower()
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level = entry.get("levelname", "").upper()
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if level == "ERROR":
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stats["total_errors"] += 1
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if "error_type" in entry:
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error_type = str(entry["error_type"])
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stats["error_types"][error_type] += 1
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elif level == "WARNING":
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stats["total_warnings"] += 1
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if "received proxy request" in message:
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stats["total_requests"] += 1
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if "token adjustment completed" in message:
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stats["successful_chat_completions"] += 1
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if "upstream request failed" in message or "revert payment" in message:
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stats["failed_requests"] += 1
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if "payment processed successfully" in message:
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stats["payment_processed"] += 1
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if "upstream" in message and level == "ERROR":
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stats["upstream_errors"] += 1
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if "model" in entry:
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model = entry["model"]
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if isinstance(model, str) and model != "unknown":
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stats["unique_models"].add(model)
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except Exception:
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continue
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return {
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"total_entries": stats["total_entries"],
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"total_requests": stats["total_requests"],
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"successful_chat_completions": stats["successful_chat_completions"],
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"failed_requests": stats["failed_requests"],
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"total_errors": stats["total_errors"],
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"total_warnings": stats["total_warnings"],
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"payment_processed": stats["payment_processed"],
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"upstream_errors": stats["upstream_errors"],
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"unique_models_count": len(stats["unique_models"]),
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"unique_models": sorted(list(stats["unique_models"])),
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"error_types": dict(stats["error_types"]),
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"success_rate": (
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(stats["successful_chat_completions"] / stats["total_requests"] * 100)
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if stats["total_requests"] > 0
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else 0
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),
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}
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@admin_router.get("/api/usage/metrics", dependencies=[Depends(require_admin_api)])
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async def get_usage_metrics(
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request: Request,
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interval: int = Query(default=15, ge=1, le=1440, description="Time interval in minutes"),
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hours: int = Query(default=24, ge=1, le=168, description="Hours of history to analyze"),
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) -> dict:
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"""Get usage metrics aggregated by time interval."""
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logs_dir = Path("logs")
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all_entries: list[dict] = []
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if not logs_dir.exists():
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return {
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"metrics": [],
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"interval_minutes": interval,
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"hours_back": hours,
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"total_buckets": 0,
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}
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cutoff_date = datetime.now(timezone.utc) - timedelta(hours=hours)
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for log_file in sorted(logs_dir.glob("app_*.log")):
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try:
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file_date_str = log_file.stem.split("_")[1]
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file_date = datetime.strptime(file_date_str, "%Y-%m-%d").replace(tzinfo=timezone.utc)
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if file_date < cutoff_date.replace(hour=0, minute=0, second=0, microsecond=0):
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continue
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entries = _parse_log_file(log_file)
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all_entries.extend(entries)
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except Exception as e:
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logger.error(f"Error processing log file {log_file}: {e}")
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continue
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return _aggregate_metrics_by_time(all_entries, interval, hours)
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@admin_router.get("/api/usage/summary", dependencies=[Depends(require_admin_api)])
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async def get_usage_summary(
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request: Request,
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hours: int = Query(default=24, ge=1, le=168, description="Hours of history to analyze"),
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) -> dict:
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"""Get summary statistics for the specified time period."""
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logs_dir = Path("logs")
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all_entries: list[dict] = []
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if not logs_dir.exists():
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return {
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"total_entries": 0,
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"total_requests": 0,
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"successful_chat_completions": 0,
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"failed_requests": 0,
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"total_errors": 0,
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"total_warnings": 0,
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"payment_processed": 0,
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"upstream_errors": 0,
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"unique_models_count": 0,
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"unique_models": [],
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"error_types": {},
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"success_rate": 0,
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}
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cutoff_date = datetime.now(timezone.utc) - timedelta(hours=hours)
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for log_file in sorted(logs_dir.glob("app_*.log")):
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try:
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file_date_str = log_file.stem.split("_")[1]
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file_date = datetime.strptime(file_date_str, "%Y-%m-%d").replace(tzinfo=timezone.utc)
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if file_date < cutoff_date.replace(hour=0, minute=0, second=0, microsecond=0):
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continue
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entries = _parse_log_file(log_file)
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all_entries.extend(entries)
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except Exception as e:
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logger.error(f"Error processing log file {log_file}: {e}")
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continue
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return _get_summary_stats(all_entries, hours)
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@admin_router.get("/api/usage/error-details", dependencies=[Depends(require_admin_api)])
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async def get_error_details(
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request: Request,
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hours: int = Query(default=24, ge=1, le=168, description="Hours of history to analyze"),
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limit: int = Query(default=100, ge=1, le=1000, description="Maximum number of errors to return"),
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) -> dict:
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"""Get detailed error information."""
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logs_dir = Path("logs")
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errors: list[dict] = []
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if not logs_dir.exists():
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return {"errors": [], "total_count": 0}
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cutoff_date = datetime.now(timezone.utc) - timedelta(hours=hours)
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for log_file in sorted(logs_dir.glob("app_*.log"), reverse=True):
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try:
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file_date_str = log_file.stem.split("_")[1]
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file_date = datetime.strptime(file_date_str, "%Y-%m-%d").replace(tzinfo=timezone.utc)
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if file_date < cutoff_date.replace(hour=0, minute=0, second=0, microsecond=0):
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continue
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entries = _parse_log_file(log_file)
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for entry in entries:
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if entry.get("levelname", "").upper() == "ERROR":
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timestamp_str = entry.get("asctime", "")
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if timestamp_str:
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log_time = datetime.strptime(timestamp_str, "%Y-%m-%d %H:%M:%S")
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log_time = log_time.replace(tzinfo=timezone.utc)
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if log_time >= cutoff_date:
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errors.append({
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"timestamp": timestamp_str,
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"message": entry.get("message", ""),
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"error_type": entry.get("error_type", "unknown"),
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"pathname": entry.get("pathname", ""),
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"lineno": entry.get("lineno", 0),
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"request_id": entry.get("request_id", ""),
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})
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if len(errors) >= limit:
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break
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except Exception as e:
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logger.error(f"Error processing log file {log_file}: {e}")
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continue
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if len(errors) >= limit:
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break
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errors.sort(key=lambda x: x["timestamp"], reverse=True)
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return {"errors": errors[:limit], "total_count": len(errors)}
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@@ -273,6 +273,15 @@ if UI_DIST_PATH.exists() and UI_DIST_PATH.is_dir():
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async def redirect_unauthorized_index_txt() -> RedirectResponse:
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return RedirectResponse("/unauthorized")
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@app.get("/usage", include_in_schema=False)
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async def serve_usage_ui() -> FileResponse:
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return FileResponse(UI_DIST_PATH / "usage" / "index.html")
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# Add explicit route for /usage/index.txt to redirect to /usage
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@app.get("/usage/index.txt", include_in_schema=False)
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async def redirect_usage_index_txt() -> RedirectResponse:
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return RedirectResponse("/usage")
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@app.get("/favicon.ico", include_in_schema=False)
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async def serve_favicon() -> FileResponse:
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icon_path = UI_DIST_PATH / "icon.ico"
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@@ -0,0 +1,253 @@
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'use client';
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import { useState } from 'react';
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import { useQuery } from '@tanstack/react-query';
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import { AppSidebar } from '@/components/app-sidebar';
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import { SiteHeader } from '@/components/site-header';
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import { SidebarInset, SidebarProvider } from '@/components/ui/sidebar';
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import { UsageMetricsChart } from '@/components/usage-metrics-chart';
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import { UsageSummaryCards } from '@/components/usage-summary-cards';
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import { ErrorDetailsTable } from '@/components/error-details-table';
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import { AdminService } from '@/lib/api/services/admin';
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import { Button } from '@/components/ui/button';
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import {
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Select,
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SelectContent,
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SelectItem,
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SelectTrigger,
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SelectValue,
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} from '@/components/ui/select';
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import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
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import { RefreshCw } from 'lucide-react';
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export default function UsagePage() {
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const [timeRange, setTimeRange] = useState('24');
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const [interval, setInterval] = useState('15');
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const {
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data: metricsData,
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isLoading: metricsLoading,
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refetch: refetchMetrics,
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} = useQuery({
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queryKey: ['usage-metrics', interval, timeRange],
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queryFn: () =>
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AdminService.getUsageMetrics(parseInt(interval), parseInt(timeRange)),
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refetchInterval: 60_000,
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staleTime: 30_000,
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});
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const {
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data: summaryData,
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isLoading: summaryLoading,
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refetch: refetchSummary,
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} = useQuery({
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queryKey: ['usage-summary', timeRange],
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queryFn: () => AdminService.getUsageSummary(parseInt(timeRange)),
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refetchInterval: 60_000,
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staleTime: 30_000,
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});
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const {
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data: errorData,
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isLoading: errorLoading,
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refetch: refetchErrors,
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} = useQuery({
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queryKey: ['usage-errors', timeRange],
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queryFn: () => AdminService.getErrorDetails(parseInt(timeRange), 100),
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refetchInterval: 60_000,
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staleTime: 30_000,
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});
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const handleRefresh = () => {
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refetchMetrics();
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refetchSummary();
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refetchErrors();
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};
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return (
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<SidebarProvider>
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<AppSidebar variant='inset' />
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<SidebarInset className='p-0'>
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<SiteHeader />
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<div className='container max-w-7xl px-4 py-8 md:px-6 lg:px-8'>
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<div className='mb-8 flex flex-col gap-4 lg:flex-row lg:items-start lg:justify-between'>
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<div>
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<h1 className='text-3xl font-bold tracking-tight'>
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Usage Tracking
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</h1>
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<p className='text-muted-foreground mt-2'>
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Monitor system usage, requests, and errors over time
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</p>
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</div>
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<div className='flex items-center gap-4'>
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<Select value={timeRange} onValueChange={setTimeRange}>
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<SelectTrigger className='w-[180px]'>
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<SelectValue placeholder='Select time range' />
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</SelectTrigger>
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<SelectContent>
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<SelectItem value='1'>Last Hour</SelectItem>
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<SelectItem value='6'>Last 6 Hours</SelectItem>
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<SelectItem value='24'>Last 24 Hours</SelectItem>
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<SelectItem value='72'>Last 3 Days</SelectItem>
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<SelectItem value='168'>Last Week</SelectItem>
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</SelectContent>
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</Select>
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<Select value={interval} onValueChange={setInterval}>
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<SelectTrigger className='w-[180px]'>
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<SelectValue placeholder='Select interval' />
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</SelectTrigger>
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<SelectContent>
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<SelectItem value='5'>5 Minutes</SelectItem>
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<SelectItem value='15'>15 Minutes</SelectItem>
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<SelectItem value='30'>30 Minutes</SelectItem>
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<SelectItem value='60'>1 Hour</SelectItem>
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</SelectContent>
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</Select>
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<Button onClick={handleRefresh} variant='outline' size='icon'>
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<RefreshCw className='h-4 w-4' />
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</Button>
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</div>
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</div>
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<div className='space-y-6'>
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{summaryLoading ? (
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<div className='text-center py-8'>Loading summary...</div>
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) : summaryData ? (
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<UsageSummaryCards summary={summaryData} />
|
||||
) : null}
|
||||
|
||||
<div className='grid gap-6 lg:grid-cols-2'>
|
||||
{metricsLoading ? (
|
||||
<div className='text-center py-8 col-span-2'>
|
||||
Loading metrics...
|
||||
</div>
|
||||
) : metricsData && metricsData.metrics.length > 0 ? (
|
||||
<>
|
||||
<UsageMetricsChart
|
||||
data={metricsData.metrics}
|
||||
title='Request Volume'
|
||||
dataKeys={[
|
||||
{
|
||||
key: 'total_requests',
|
||||
name: 'Total Requests',
|
||||
color: '#3b82f6',
|
||||
},
|
||||
{
|
||||
key: 'successful_chat_completions',
|
||||
name: 'Successful',
|
||||
color: '#10b981',
|
||||
},
|
||||
{
|
||||
key: 'failed_requests',
|
||||
name: 'Failed',
|
||||
color: '#ef4444',
|
||||
},
|
||||
]}
|
||||
/>
|
||||
<UsageMetricsChart
|
||||
data={metricsData.metrics}
|
||||
title='Error Tracking'
|
||||
dataKeys={[
|
||||
{
|
||||
key: 'errors',
|
||||
name: 'Errors',
|
||||
color: '#f97316',
|
||||
},
|
||||
{
|
||||
key: 'warnings',
|
||||
name: 'Warnings',
|
||||
color: '#eab308',
|
||||
},
|
||||
{
|
||||
key: 'upstream_errors',
|
||||
name: 'Upstream Errors',
|
||||
color: '#ef4444',
|
||||
},
|
||||
]}
|
||||
/>
|
||||
<UsageMetricsChart
|
||||
data={metricsData.metrics}
|
||||
title='Payment Activity'
|
||||
dataKeys={[
|
||||
{
|
||||
key: 'payment_processed',
|
||||
name: 'Payments Processed',
|
||||
color: '#6366f1',
|
||||
},
|
||||
]}
|
||||
/>
|
||||
</>
|
||||
) : (
|
||||
<Card className='col-span-2'>
|
||||
<CardHeader>
|
||||
<CardTitle>No Data Available</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<p className='text-muted-foreground'>
|
||||
No metrics data found for the selected time range. This
|
||||
could be because no requests have been logged yet or the
|
||||
log files are not available.
|
||||
</p>
|
||||
</CardContent>
|
||||
</Card>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{errorLoading ? (
|
||||
<div className='text-center py-8'>Loading errors...</div>
|
||||
) : errorData ? (
|
||||
<ErrorDetailsTable errors={errorData.errors} />
|
||||
) : null}
|
||||
|
||||
{summaryData && summaryData.unique_models.length > 0 && (
|
||||
<Card>
|
||||
<CardHeader>
|
||||
<CardTitle>Active Models</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<div className='flex flex-wrap gap-2'>
|
||||
{summaryData.unique_models.map((model) => (
|
||||
<span
|
||||
key={model}
|
||||
className='bg-secondary text-secondary-foreground inline-flex items-center rounded-md px-2.5 py-0.5 text-xs font-semibold'
|
||||
>
|
||||
{model}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
</CardContent>
|
||||
</Card>
|
||||
)}
|
||||
|
||||
{summaryData &&
|
||||
summaryData.error_types &&
|
||||
Object.keys(summaryData.error_types).length > 0 && (
|
||||
<Card>
|
||||
<CardHeader>
|
||||
<CardTitle>Error Types Distribution</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<div className='space-y-2'>
|
||||
{Object.entries(summaryData.error_types)
|
||||
.sort(([, a], [, b]) => b - a)
|
||||
.map(([type, count]) => (
|
||||
<div
|
||||
key={type}
|
||||
className='flex items-center justify-between'
|
||||
>
|
||||
<span className='text-sm font-medium'>{type}</span>
|
||||
<span className='text-muted-foreground text-sm'>
|
||||
{count}
|
||||
</span>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</CardContent>
|
||||
</Card>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</SidebarInset>
|
||||
</SidebarProvider>
|
||||
);
|
||||
}
|
||||
@@ -2,6 +2,7 @@
|
||||
|
||||
import * as React from 'react';
|
||||
import {
|
||||
ActivityIcon,
|
||||
DatabaseIcon,
|
||||
LayoutDashboardIcon,
|
||||
ServerIcon,
|
||||
@@ -34,6 +35,11 @@ const data = {
|
||||
url: '/',
|
||||
icon: LayoutDashboardIcon,
|
||||
},
|
||||
{
|
||||
title: 'Usage',
|
||||
url: '/usage',
|
||||
icon: ActivityIcon,
|
||||
},
|
||||
{
|
||||
title: 'Models',
|
||||
url: '/model',
|
||||
|
||||
@@ -0,0 +1,78 @@
|
||||
'use client';
|
||||
|
||||
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
|
||||
import {
|
||||
Table,
|
||||
TableBody,
|
||||
TableCell,
|
||||
TableHead,
|
||||
TableHeader,
|
||||
TableRow,
|
||||
} from '@/components/ui/table';
|
||||
import { Badge } from '@/components/ui/badge';
|
||||
import { ErrorDetail } from '@/lib/api/services/admin';
|
||||
|
||||
interface ErrorDetailsTableProps {
|
||||
errors: ErrorDetail[];
|
||||
}
|
||||
|
||||
export function ErrorDetailsTable({ errors }: ErrorDetailsTableProps) {
|
||||
if (errors.length === 0) {
|
||||
return (
|
||||
<Card>
|
||||
<CardHeader>
|
||||
<CardTitle>Recent Errors</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<p className='text-muted-foreground text-center py-8'>
|
||||
No errors found in the selected time period
|
||||
</p>
|
||||
</CardContent>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<Card>
|
||||
<CardHeader>
|
||||
<CardTitle>Recent Errors ({errors.length})</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<div className='max-h-[400px] overflow-y-auto'>
|
||||
<Table>
|
||||
<TableHeader>
|
||||
<TableRow>
|
||||
<TableHead>Timestamp</TableHead>
|
||||
<TableHead>Type</TableHead>
|
||||
<TableHead>Message</TableHead>
|
||||
<TableHead>Location</TableHead>
|
||||
<TableHead>Request ID</TableHead>
|
||||
</TableRow>
|
||||
</TableHeader>
|
||||
<TableBody>
|
||||
{errors.map((error, index) => (
|
||||
<TableRow key={index}>
|
||||
<TableCell className='font-mono text-xs'>
|
||||
{new Date(error.timestamp).toLocaleString()}
|
||||
</TableCell>
|
||||
<TableCell>
|
||||
<Badge variant='destructive'>{error.error_type}</Badge>
|
||||
</TableCell>
|
||||
<TableCell className='max-w-md truncate'>
|
||||
{error.message}
|
||||
</TableCell>
|
||||
<TableCell className='font-mono text-xs'>
|
||||
{error.pathname}:{error.lineno}
|
||||
</TableCell>
|
||||
<TableCell className='font-mono text-xs'>
|
||||
{error.request_id || '-'}
|
||||
</TableCell>
|
||||
</TableRow>
|
||||
))}
|
||||
</TableBody>
|
||||
</Table>
|
||||
</div>
|
||||
</CardContent>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,78 @@
|
||||
'use client';
|
||||
|
||||
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
|
||||
import {
|
||||
Line,
|
||||
LineChart,
|
||||
ResponsiveContainer,
|
||||
Tooltip,
|
||||
XAxis,
|
||||
YAxis,
|
||||
Legend,
|
||||
CartesianGrid,
|
||||
} from 'recharts';
|
||||
import { UsageMetricData } from '@/lib/api/services/admin';
|
||||
|
||||
interface UsageMetricsChartProps {
|
||||
data: UsageMetricData[];
|
||||
title: string;
|
||||
dataKeys: Array<{
|
||||
key: keyof UsageMetricData;
|
||||
name: string;
|
||||
color: string;
|
||||
}>;
|
||||
}
|
||||
|
||||
export function UsageMetricsChart({
|
||||
data,
|
||||
title,
|
||||
dataKeys,
|
||||
}: UsageMetricsChartProps) {
|
||||
const formattedData = data.map((item) => ({
|
||||
...item,
|
||||
time: new Date(item.timestamp).toLocaleTimeString([], {
|
||||
hour: '2-digit',
|
||||
minute: '2-digit',
|
||||
}),
|
||||
}));
|
||||
|
||||
return (
|
||||
<Card>
|
||||
<CardHeader>
|
||||
<CardTitle>{title}</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<ResponsiveContainer width='100%' height={300}>
|
||||
<LineChart data={formattedData}>
|
||||
<CartesianGrid strokeDasharray='3 3' className='stroke-muted' />
|
||||
<XAxis
|
||||
dataKey='time'
|
||||
className='text-xs'
|
||||
tick={{ fill: 'currentColor' }}
|
||||
/>
|
||||
<YAxis className='text-xs' tick={{ fill: 'currentColor' }} />
|
||||
<Tooltip
|
||||
contentStyle={{
|
||||
backgroundColor: 'hsl(var(--background))',
|
||||
border: '1px solid hsl(var(--border))',
|
||||
borderRadius: '6px',
|
||||
}}
|
||||
/>
|
||||
<Legend />
|
||||
{dataKeys.map((dataKey) => (
|
||||
<Line
|
||||
key={dataKey.key}
|
||||
type='monotone'
|
||||
dataKey={dataKey.key}
|
||||
stroke={dataKey.color}
|
||||
name={dataKey.name}
|
||||
strokeWidth={2}
|
||||
dot={false}
|
||||
/>
|
||||
))}
|
||||
</LineChart>
|
||||
</ResponsiveContainer>
|
||||
</CardContent>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,86 @@
|
||||
'use client';
|
||||
|
||||
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
|
||||
import { UsageSummary } from '@/lib/api/services/admin';
|
||||
import {
|
||||
CheckCircle2,
|
||||
XCircle,
|
||||
AlertTriangle,
|
||||
Activity,
|
||||
Database,
|
||||
CreditCard,
|
||||
TrendingUp,
|
||||
} from 'lucide-react';
|
||||
|
||||
interface UsageSummaryCardsProps {
|
||||
summary: UsageSummary;
|
||||
}
|
||||
|
||||
export function UsageSummaryCards({ summary }: UsageSummaryCardsProps) {
|
||||
const cards = [
|
||||
{
|
||||
title: 'Total Requests',
|
||||
value: summary.total_requests.toLocaleString(),
|
||||
icon: Activity,
|
||||
color: 'text-blue-500',
|
||||
},
|
||||
{
|
||||
title: 'Successful Completions',
|
||||
value: summary.successful_chat_completions.toLocaleString(),
|
||||
icon: CheckCircle2,
|
||||
color: 'text-green-500',
|
||||
},
|
||||
{
|
||||
title: 'Failed Requests',
|
||||
value: summary.failed_requests.toLocaleString(),
|
||||
icon: XCircle,
|
||||
color: 'text-red-500',
|
||||
},
|
||||
{
|
||||
title: 'Errors',
|
||||
value: summary.total_errors.toLocaleString(),
|
||||
icon: AlertTriangle,
|
||||
color: 'text-orange-500',
|
||||
},
|
||||
{
|
||||
title: 'Success Rate',
|
||||
value: `${summary.success_rate.toFixed(1)}%`,
|
||||
icon: TrendingUp,
|
||||
color: 'text-emerald-500',
|
||||
},
|
||||
{
|
||||
title: 'Unique Models',
|
||||
value: summary.unique_models_count.toLocaleString(),
|
||||
icon: Database,
|
||||
color: 'text-purple-500',
|
||||
},
|
||||
{
|
||||
title: 'Payments Processed',
|
||||
value: summary.payment_processed.toLocaleString(),
|
||||
icon: CreditCard,
|
||||
color: 'text-indigo-500',
|
||||
},
|
||||
{
|
||||
title: 'Upstream Errors',
|
||||
value: summary.upstream_errors.toLocaleString(),
|
||||
icon: AlertTriangle,
|
||||
color: 'text-yellow-500',
|
||||
},
|
||||
];
|
||||
|
||||
return (
|
||||
<div className='grid gap-4 md:grid-cols-2 lg:grid-cols-4'>
|
||||
{cards.map((card) => (
|
||||
<Card key={card.title}>
|
||||
<CardHeader className='flex flex-row items-center justify-between space-y-0 pb-2'>
|
||||
<CardTitle className='text-sm font-medium'>{card.title}</CardTitle>
|
||||
<card.icon className={`h-4 w-4 ${card.color}`} />
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<div className='text-2xl font-bold'>{card.value}</div>
|
||||
</CardContent>
|
||||
</Card>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -802,6 +802,30 @@ export class AdminService {
|
||||
'/admin/api/temporary-balances'
|
||||
);
|
||||
}
|
||||
|
||||
static async getUsageMetrics(
|
||||
interval: number = 15,
|
||||
hours: number = 24
|
||||
): Promise<UsageMetrics> {
|
||||
return await apiClient.get<UsageMetrics>(
|
||||
`/admin/api/usage/metrics?interval=${interval}&hours=${hours}`
|
||||
);
|
||||
}
|
||||
|
||||
static async getUsageSummary(hours: number = 24): Promise<UsageSummary> {
|
||||
return await apiClient.get<UsageSummary>(
|
||||
`/admin/api/usage/summary?hours=${hours}`
|
||||
);
|
||||
}
|
||||
|
||||
static async getErrorDetails(
|
||||
hours: number = 24,
|
||||
limit: number = 100
|
||||
): Promise<ErrorDetails> {
|
||||
return await apiClient.get<ErrorDetails>(
|
||||
`/admin/api/usage/error-details?hours=${hours}&limit=${limit}`
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export const TemporaryBalanceSchema = z.object({
|
||||
@@ -814,3 +838,50 @@ export const TemporaryBalanceSchema = z.object({
|
||||
});
|
||||
|
||||
export type TemporaryBalance = z.infer<typeof TemporaryBalanceSchema>;
|
||||
|
||||
export interface UsageMetricData {
|
||||
timestamp: string;
|
||||
total_requests: number;
|
||||
successful_chat_completions: number;
|
||||
failed_requests: number;
|
||||
errors: number;
|
||||
warnings: number;
|
||||
payment_processed: number;
|
||||
upstream_errors: number;
|
||||
}
|
||||
|
||||
export interface UsageMetrics {
|
||||
metrics: UsageMetricData[];
|
||||
interval_minutes: number;
|
||||
hours_back: number;
|
||||
total_buckets: number;
|
||||
}
|
||||
|
||||
export interface UsageSummary {
|
||||
total_entries: number;
|
||||
total_requests: number;
|
||||
successful_chat_completions: number;
|
||||
failed_requests: number;
|
||||
total_errors: number;
|
||||
total_warnings: number;
|
||||
payment_processed: number;
|
||||
upstream_errors: number;
|
||||
unique_models_count: number;
|
||||
unique_models: string[];
|
||||
error_types: Record<string, number>;
|
||||
success_rate: number;
|
||||
}
|
||||
|
||||
export interface ErrorDetail {
|
||||
timestamp: string;
|
||||
message: string;
|
||||
error_type: string;
|
||||
pathname: string;
|
||||
lineno: number;
|
||||
request_id: string;
|
||||
}
|
||||
|
||||
export interface ErrorDetails {
|
||||
errors: ErrorDetail[];
|
||||
total_count: number;
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user