- New hit-counter FastAPI service (Prometheus metrics, SQLite storage), wired into Caddy (hits.carloselugo.com) and docker-compose - Scrape hit-counter in Prometheus every 5m - Add articles, about, contact, experience, and expertise sections to the frontend, with per-article hit tracking Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
120 lines
3.9 KiB
Python
120 lines
3.9 KiB
Python
"""
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hit-counter — minimal per-slug visit counter, with basic abuse protection
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and a Prometheus /metrics endpoint for Grafana.
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Throttling (in-memory, fine at this scale):
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1. Per (ip, slug) cooldown — same visitor re-hitting the same article
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within COOLDOWN_SECONDS doesn't increment the count again.
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2. Per-ip global rate limit — caps total requests/minute from one IP.
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State resets on container restart — acceptable for this use case.
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"""
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import time
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from collections import defaultdict
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from pathlib import Path
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import sqlite3
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from fastapi import FastAPI, Request, HTTPException, Response
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from fastapi.middleware.cors import CORSMiddleware
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from prometheus_client import Gauge, generate_latest, CONTENT_TYPE_LATEST
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DB_PATH = Path("/data/hits.db")
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DB_PATH.parent.mkdir(parents=True, exist_ok=True)
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COOLDOWN_SECONDS = 30 * 60 # one counted hit per (ip, slug) per 30 min
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RATE_LIMIT_WINDOW = 60 # seconds
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RATE_LIMIT_MAX_REQUESTS = 20 # requests per ip per window, across all endpoints
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["https://carloselugo.com"],
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allow_methods=["GET", "POST"],
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allow_headers=["*"],
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)
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# (ip, slug) -> last counted timestamp
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_last_hit: dict[tuple[str, str], float] = {}
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# ip -> list of recent request timestamps
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_request_log: dict[str, list[float]] = defaultdict(list)
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# Prometheus gauge, one series per article slug.
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# Gauge (not Counter) because we set it directly from the SQLite total
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# on every /metrics scrape — Prometheus itself builds the time series
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# from repeated scrapes, so we don't need to track history ourselves.
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article_hits_gauge = Gauge("article_hits_total", "Total counted views per article", ["slug"])
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def get_client_ip(request: Request) -> str:
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# Caddy sets X-Forwarded-For when reverse-proxying.
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forwarded = request.headers.get("x-forwarded-for")
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if forwarded:
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return forwarded.split(",")[0].strip()
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return request.client.host if request.client else "unknown"
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def enforce_rate_limit(ip: str):
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now = time.time()
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log = _request_log[ip]
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while log and now - log[0] > RATE_LIMIT_WINDOW:
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log.pop(0)
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if len(log) >= RATE_LIMIT_MAX_REQUESTS:
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raise HTTPException(status_code=429, detail="Too many requests")
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log.append(now)
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def get_db():
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conn = sqlite3.connect(DB_PATH)
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conn.execute(
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"CREATE TABLE IF NOT EXISTS hits (slug TEXT PRIMARY KEY, count INTEGER NOT NULL DEFAULT 0)"
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)
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return conn
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@app.post("/hit/{slug}")
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def register_hit(slug: str, request: Request):
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ip = get_client_ip(request)
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enforce_rate_limit(ip)
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now = time.time()
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key = (ip, slug)
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should_count = now - _last_hit.get(key, 0) > COOLDOWN_SECONDS
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conn = get_db()
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if should_count:
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conn.execute(
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"INSERT INTO hits (slug, count) VALUES (?, 1) "
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"ON CONFLICT(slug) DO UPDATE SET count = count + 1",
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(slug,),
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)
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conn.commit()
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_last_hit[key] = now
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total = conn.execute("SELECT count FROM hits WHERE slug = ?", (slug,)).fetchone()
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conn.close()
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count = total[0] if total else 0
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article_hits_gauge.labels(slug=slug).set(count)
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return {"slug": slug, "count": count, "counted": should_count}
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@app.get("/hits/{slug}")
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def get_hits(slug: str, request: Request):
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enforce_rate_limit(get_client_ip(request))
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conn = get_db()
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row = conn.execute("SELECT count FROM hits WHERE slug = ?", (slug,)).fetchone()
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conn.close()
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return {"slug": slug, "count": row[0] if row else 0}
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@app.get("/metrics")
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def metrics():
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# Refresh every gauge from the source of truth (SQLite) before
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# Prometheus scrapes, so /metrics is correct even right after a restart.
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conn = get_db()
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rows = conn.execute("SELECT slug, count FROM hits").fetchall()
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conn.close()
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for slug, count in rows:
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article_hits_gauge.labels(slug=slug).set(count)
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return Response(content=generate_latest(), media_type=CONTENT_TYPE_LATEST) |