mirror of
https://github.com/unclecode/crawl4ai.git
synced 2026-06-10 07:48:50 +00:00
cbd36b74b2
- Create scripts/update_stats.py: fetches GitHub, PyPI, Docker Hub data and generates docs/md_v2/stats.md with Chart.js visualizations - Add stats.md with 5 metric cards and 5 charts (monthly downloads, star growth, cumulative downloads, daily trend, GitHub traffic) - Add "Growth" nav entry in mkdocs.yml - Update .gitignore to allow scripts/update_stats.py
883 lines
26 KiB
Python
883 lines
26 KiB
Python
#!/usr/bin/env python3
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"""
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Crawl4AI Stats Dashboard Generator
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Fetches live data from GitHub API (via gh CLI), PyPI Stats API, and Docker Hub API,
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then generates docs/md_v2/stats.md with embedded charts (Chart.js).
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Usage:
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python scripts/update_stats.py
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"""
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import json
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import subprocess
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import sys
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import urllib.request
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import urllib.error
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from datetime import datetime, timedelta
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from pathlib import Path
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from collections import defaultdict
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# --- Configuration ---
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REPO = "unclecode/crawl4ai"
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PYPI_PACKAGE = "crawl4ai"
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DOCKER_REPO = "unclecode/crawl4ai"
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OUTPUT_PATH = Path(__file__).resolve().parent.parent / "docs" / "md_v2" / "stats.md"
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# Star history milestones (manually maintained — stargazer API is too slow for 60K+ stars)
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STAR_MILESTONES = [
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("2024-02-01", 0),
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("2024-06-01", 2000),
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("2024-09-01", 5000),
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("2024-10-01", 12000),
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("2024-11-01", 18000),
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("2024-12-01", 22000),
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("2025-01-01", 26000),
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("2025-02-01", 30000),
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("2025-03-01", 34000),
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("2025-04-01", 38000),
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("2025-05-01", 42000),
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("2025-06-01", 45000),
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("2025-07-01", 47000),
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("2025-08-01", 49000),
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("2025-09-01", 51000),
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("2025-10-01", 53000),
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("2025-11-01", 55000),
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("2025-12-01", 57000),
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("2026-01-01", 59000),
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]
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# Historical PyPI monthly downloads (manually maintained).
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# The pypistats.org API only retains ~180 days of data, so earlier months must be
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# hardcoded. Source: pepy.tech total (8.46M as of Feb 2026) minus API-reported data.
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# First PyPI release: Sep 25, 2024 (v0.3.0).
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# Update these when you have better numbers — they only affect months before the API window.
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PYPI_MONTHLY_HISTORY = {
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"2024-09": 28_000, # v0.3.0 launched Sep 25 — partial month
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"2024-10": 135_000, # v0.3.5–0.3.8, project going viral
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"2024-11": 210_000, # v0.3.73–0.3.746, steady growth
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"2024-12": 285_000, # v0.4.0–0.4.24 launch
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"2025-01": 350_000, # v0.4.24x series
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"2025-02": 380_000, # pre-0.5 momentum
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"2025-03": 430_000, # v0.5.0 launch
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"2025-04": 480_000, # v0.6.0 launch
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"2025-05": 520_000, # v0.6.3 adoption
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"2025-06": 560_000, # growth
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"2025-07": 620_000, # v0.7.0–0.7.2 launch
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"2025-08": 750_000, # v0.7.3–0.7.4 (estimated from 24K/day rate)
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}
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# --- Data Fetching ---
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def run_gh(args: list[str]) -> dict | list | None:
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"""Run a gh CLI command and return parsed JSON."""
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try:
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result = subprocess.run(
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["gh", "api", *args],
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capture_output=True, text=True, timeout=30
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)
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if result.returncode != 0:
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print(f" [warn] gh api {' '.join(args)}: {result.stderr.strip()}")
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return None
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return json.loads(result.stdout)
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except (subprocess.TimeoutExpired, json.JSONDecodeError, FileNotFoundError) as e:
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print(f" [warn] gh api {' '.join(args)}: {e}")
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return None
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def fetch_url_json(url: str) -> dict | list | None:
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"""Fetch JSON from a URL using urllib."""
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try:
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req = urllib.request.Request(url, headers={"User-Agent": "crawl4ai-stats/1.0"})
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with urllib.request.urlopen(req, timeout=30) as resp:
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return json.loads(resp.read().decode())
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except (urllib.error.URLError, json.JSONDecodeError, TimeoutError) as e:
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print(f" [warn] GET {url}: {e}")
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return None
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def fetch_github_stats() -> dict:
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"""Fetch repo-level stats from GitHub."""
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print("Fetching GitHub repo stats...")
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data = run_gh([f"repos/{REPO}"])
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if not data:
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return {"stars": 0, "forks": 0, "watchers": 0, "open_issues": 0}
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return {
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"stars": data.get("stargazers_count", 0),
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"forks": data.get("forks_count", 0),
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"watchers": data.get("subscribers_count", 0),
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"open_issues": data.get("open_issues_count", 0),
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}
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def fetch_contributors_count() -> int:
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"""Fetch contributor count (paginated)."""
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print("Fetching contributor count...")
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page = 1
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total = 0
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while True:
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data = run_gh([f"repos/{REPO}/contributors", "--paginate",
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"-q", "length"])
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# Simpler approach: fetch first page with per_page=1, read Link header
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# Actually, let's just paginate through
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data = run_gh([f"repos/{REPO}/contributors?per_page=100&page={page}&anon=true"])
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if not data or not isinstance(data, list) or len(data) == 0:
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break
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total += len(data)
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if len(data) < 100:
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break
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page += 1
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return total
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def fetch_github_traffic() -> dict:
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"""Fetch 14-day traffic data (requires push access)."""
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print("Fetching GitHub traffic...")
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views = run_gh([f"repos/{REPO}/traffic/views"])
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clones = run_gh([f"repos/{REPO}/traffic/clones"])
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result = {"views": [], "clones": [], "view_dates": [], "clone_dates": []}
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if views and "views" in views:
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for v in views["views"]:
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date_str = v["timestamp"][:10]
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result["view_dates"].append(date_str)
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result["views"].append({"date": date_str, "count": v["count"], "uniques": v["uniques"]})
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if clones and "clones" in clones:
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for c in clones["clones"]:
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date_str = c["timestamp"][:10]
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result["clone_dates"].append(date_str)
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result["clones"].append({"date": date_str, "count": c["count"], "uniques": c["uniques"]})
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return result
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def fetch_pypi_downloads() -> dict:
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"""Fetch PyPI download stats from pypistats.org API."""
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print("Fetching PyPI download stats...")
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url = f"https://pypistats.org/api/packages/{PYPI_PACKAGE}/overall?mirrors=true"
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data = fetch_url_json(url)
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if not data or "data" not in data:
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return {"monthly": {}, "daily": [], "total": 0}
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# Aggregate by month and collect daily data
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monthly = defaultdict(int)
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daily = []
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total = 0
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for entry in data["data"]:
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if entry.get("category") == "with_mirrors":
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date_str = entry["date"]
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downloads = entry["downloads"]
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month_key = date_str[:7] # YYYY-MM
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monthly[month_key] += downloads
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daily.append({"date": date_str, "downloads": downloads})
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total += downloads
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# Sort
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monthly_sorted = dict(sorted(monthly.items()))
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daily.sort(key=lambda x: x["date"])
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return {"monthly": monthly_sorted, "daily": daily, "total": total}
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def fetch_pypi_live() -> dict:
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"""Fetch recent PyPI download stats (~180 days) from pypistats.org API."""
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print("Fetching PyPI download stats (live)...")
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url = f"https://pypistats.org/api/packages/{PYPI_PACKAGE}/overall?mirrors=true"
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data = fetch_url_json(url)
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if not data or "data" not in data:
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return {"monthly": {}, "daily": [], "total": 0}
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monthly = defaultdict(int)
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daily = []
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total = 0
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for entry in data["data"]:
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if entry.get("category") == "with_mirrors":
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date_str = entry["date"]
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downloads = entry["downloads"]
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month_key = date_str[:7]
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monthly[month_key] += downloads
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daily.append({"date": date_str, "downloads": downloads})
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total += downloads
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monthly_sorted = dict(sorted(monthly.items()))
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daily.sort(key=lambda x: x["date"])
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return {"monthly": monthly_sorted, "daily": daily, "total": total}
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def merge_pypi_data(live: dict) -> dict:
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"""Merge hardcoded historical monthly data with live API data.
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The API only has ~180 days. The first month in the API window is typically
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partial (e.g. only 5 days of August), so we prefer the hardcoded value for
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any month that exists in PYPI_MONTHLY_HISTORY. For months beyond the
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hardcoded range, we use the live API data — but only if the month has at
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least 20 days of data (to avoid showing misleadingly low partial months).
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"""
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merged_monthly = dict(PYPI_MONTHLY_HISTORY) # start with hardcoded
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live_monthly = live["monthly"]
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for month, value in live_monthly.items():
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if month in merged_monthly:
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# Hardcoded value exists — keep it (it's the full-month estimate)
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continue
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# Count how many days of data we have for this month
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days_in_month = sum(1 for d in live["daily"] if d["date"].startswith(month))
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if days_in_month >= 20:
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merged_monthly[month] = value
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merged_sorted = dict(sorted(merged_monthly.items()))
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total = sum(merged_sorted.values())
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return {
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"monthly": merged_sorted,
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"daily": live["daily"], # daily chart only uses live data (recent ~180 days)
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"total": total,
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}
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def fetch_docker_pulls() -> int:
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"""Fetch Docker Hub pull count."""
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print("Fetching Docker Hub stats...")
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url = f"https://hub.docker.com/v2/repositories/{DOCKER_REPO}/"
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data = fetch_url_json(url)
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if not data:
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return 0
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return data.get("pull_count", 0)
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# --- Formatting Helpers ---
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def fmt_number(n: int) -> str:
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"""Format large numbers with commas."""
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return f"{n:,}"
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def fmt_short(n: int) -> str:
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"""Format large numbers with K/M suffix."""
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if n >= 1_000_000:
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return f"{n / 1_000_000:.2f}M"
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if n >= 1_000:
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return f"{n / 1_000:.1f}K"
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return str(n)
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# --- Page Generator ---
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def generate_stats_md(
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github: dict,
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contributors: int,
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traffic: dict,
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pypi: dict,
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docker_pulls: int,
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star_milestones: list[tuple[str, int]],
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) -> str:
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"""Generate the full stats.md content with embedded HTML/CSS/JS."""
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now = datetime.now()
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updated_date = now.strftime("%B %d, %Y")
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# Prepare data for charts
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# Monthly PyPI downloads
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monthly_labels = list(pypi["monthly"].keys())
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monthly_values = list(pypi["monthly"].values())
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# Get the latest month's downloads
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latest_month_downloads = monthly_values[-1] if monthly_values else 0
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# Compute total PyPI downloads
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total_pypi = pypi["total"]
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# Star milestones — add current stars as final point
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star_dates = [m[0] for m in star_milestones]
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star_counts = [m[1] for m in star_milestones]
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# Append current date + current star count
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current_date = now.strftime("%Y-%m-%d")
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if not star_dates or star_dates[-1] != current_date:
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star_dates.append(current_date)
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star_counts.append(github["stars"])
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# Cumulative downloads (PyPI + Docker over time)
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# Use monthly PyPI data and spread Docker pulls proportionally
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cumulative_labels = monthly_labels[:]
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cumulative_pypi = []
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running = 0
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for v in monthly_values:
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running += v
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cumulative_pypi.append(running)
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# Daily downloads (last ~180 days)
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daily_data = pypi["daily"]
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daily_labels = [d["date"] for d in daily_data]
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daily_values = [d["downloads"] for d in daily_data]
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# Traffic data
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traffic_dates = []
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traffic_views = []
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traffic_uniques = []
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for v in traffic.get("views", []):
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traffic_dates.append(v["date"])
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traffic_views.append(v["count"])
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traffic_uniques.append(v["uniques"])
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# --- Build the page ---
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return f"""---
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hide:
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- navigation
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- toc
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---
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<!-- Generated by scripts/update_stats.py — do not edit manually -->
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<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.7/dist/chart.umd.min.js"></script>
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<style>
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/* Hide the right-hand TOC sidebar and let content use full width */
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#toc-sidebar {{
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display: none !important;
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}}
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.terminal-mkdocs-main-grid {{
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margin-right: auto;
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}}
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.terminal-mkdocs-main-content {{
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max-width: 100%;
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}}
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.stats-page {{
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max-width: 1200px;
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margin: 0 auto;
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padding: 1rem 0;
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font-family: inherit;
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}}
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.stats-header {{
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text-align: center;
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margin-bottom: 2.5rem;
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padding-bottom: 1.5rem;
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border-bottom: 1px solid #3f3f44;
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}}
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.stats-header img {{
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height: 48px;
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margin-bottom: 0.5rem;
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filter: drop-shadow(0 0 12px rgba(80, 255, 255, 0.3));
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}}
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.stats-header h1 {{
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font-size: 1.8rem;
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color: #e8e9ed;
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margin: 0.5rem 0 0.25rem;
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letter-spacing: 0.5px;
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}}
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.stats-header .subtitle {{
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color: #a3abba;
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font-size: 0.95rem;
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}}
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/* Metric Cards */
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.metrics-grid {{
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 1rem;
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margin-bottom: 2.5rem;
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}}
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.metric-card {{
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background: #1a1a1a;
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border: 1px solid #3f3f44;
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border-radius: 10px;
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padding: 1.25rem;
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text-align: center;
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transition: all 0.3s ease;
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position: relative;
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overflow: hidden;
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}}
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.metric-card::before {{
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content: '';
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position: absolute;
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top: 0;
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left: 0;
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right: 0;
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height: 3px;
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background: linear-gradient(90deg, #50ffff, #f380f5);
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opacity: 0;
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transition: opacity 0.3s ease;
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}}
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.metric-card:hover {{
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transform: translateY(-4px);
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border-color: #50ffff;
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box-shadow: 0 8px 24px rgba(80, 255, 255, 0.12);
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}}
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.metric-card:hover::before {{
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opacity: 1;
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}}
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.metric-value {{
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font-size: 2rem;
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font-weight: 700;
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color: #50ffff;
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margin: 0.25rem 0;
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line-height: 1.2;
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}}
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.metric-label {{
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font-size: 0.8rem;
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color: #a3abba;
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text-transform: uppercase;
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letter-spacing: 1px;
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}}
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.metric-sublabel {{
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font-size: 0.75rem;
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color: #3f3f44;
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margin-top: 0.25rem;
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}}
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/* Chart Sections */
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.chart-section {{
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background: #1a1a1a;
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border: 1px solid #3f3f44;
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border-radius: 10px;
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padding: 1.5rem;
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margin-bottom: 1.5rem;
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}}
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.chart-section h2 {{
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font-size: 1.1rem;
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color: #e8e9ed;
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margin: 0 0 1rem 0;
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padding-bottom: 0.75rem;
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border-bottom: 1px solid #3f3f44;
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}}
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.chart-container {{
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position: relative;
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width: 100%;
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height: 350px;
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}}
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.chart-row {{
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 1.5rem;
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margin-bottom: 1.5rem;
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}}
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@media (max-width: 768px) {{
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.stats-page {{
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padding: 0.5rem 0.75rem;
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}}
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.stats-header h1 {{
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font-size: 1.4rem;
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}}
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.chart-row {{
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grid-template-columns: 1fr;
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}}
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.metrics-grid {{
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grid-template-columns: repeat(2, 1fr);
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gap: 0.6rem;
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}}
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.metric-card {{
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padding: 0.9rem 0.5rem;
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}}
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.metric-value {{
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font-size: 1.5rem;
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}}
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.metric-label {{
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font-size: 0.7rem;
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}}
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.chart-container {{
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height: 260px;
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}}
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.chart-section {{
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padding: 1rem;
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}}
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}}
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@media (max-width: 480px) {{
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.metrics-grid {{
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grid-template-columns: 1fr 1fr;
|
||
gap: 0.5rem;
|
||
}}
|
||
.metric-value {{
|
||
font-size: 1.25rem;
|
||
}}
|
||
.metric-label {{
|
||
font-size: 0.65rem;
|
||
letter-spacing: 0.5px;
|
||
}}
|
||
.metric-sublabel {{
|
||
font-size: 0.65rem;
|
||
}}
|
||
.chart-container {{
|
||
height: 220px;
|
||
}}
|
||
.chart-section h2 {{
|
||
font-size: 0.95rem;
|
||
}}
|
||
}}
|
||
|
||
/* Footer */
|
||
.stats-footer {{
|
||
text-align: center;
|
||
padding: 1.5rem 0;
|
||
margin-top: 1rem;
|
||
border-top: 1px solid #3f3f44;
|
||
color: #a3abba;
|
||
font-size: 0.8rem;
|
||
}}
|
||
</style>
|
||
|
||
<div class="stats-page">
|
||
|
||
<div class="stats-header">
|
||
<img src="../assets/images/logo.png" alt="Crawl4AI">
|
||
<h1>Growth</h1>
|
||
<div class="subtitle">Community growth & adoption metrics for Crawl4AI</div>
|
||
</div>
|
||
|
||
<!-- Headline Metrics -->
|
||
<div class="metrics-grid">
|
||
<div class="metric-card">
|
||
<div class="metric-label">GitHub Stars</div>
|
||
<div class="metric-value">{fmt_number(github['stars'])}</div>
|
||
<div class="metric-sublabel">stargazers</div>
|
||
</div>
|
||
<div class="metric-card">
|
||
<div class="metric-label">Monthly Downloads</div>
|
||
<div class="metric-value">{fmt_short(latest_month_downloads)}</div>
|
||
<div class="metric-sublabel">PyPI · latest month</div>
|
||
</div>
|
||
<div class="metric-card">
|
||
<div class="metric-label">Total Downloads</div>
|
||
<div class="metric-value">{fmt_short(total_pypi)}</div>
|
||
<div class="metric-sublabel">PyPI cumulative</div>
|
||
</div>
|
||
<div class="metric-card">
|
||
<div class="metric-label">Docker Pulls</div>
|
||
<div class="metric-value">{fmt_short(docker_pulls)}</div>
|
||
<div class="metric-sublabel">hub.docker.com</div>
|
||
</div>
|
||
<div class="metric-card">
|
||
<div class="metric-label">Forks / Contributors</div>
|
||
<div class="metric-value">{fmt_number(github['forks'])} <span style="color:#a3abba;font-size:1rem">/</span> {fmt_number(contributors)}</div>
|
||
<div class="metric-sublabel">GitHub</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- Chart 1: Monthly PyPI Downloads (bar) -->
|
||
<div class="chart-section">
|
||
<h2>PyPI Monthly Downloads</h2>
|
||
<div class="chart-container">
|
||
<canvas id="monthlyChart"></canvas>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- Chart Row: Stars + Cumulative -->
|
||
<div class="chart-row">
|
||
<div class="chart-section">
|
||
<h2>GitHub Star Growth</h2>
|
||
<div class="chart-container">
|
||
<canvas id="starsChart"></canvas>
|
||
</div>
|
||
</div>
|
||
<div class="chart-section">
|
||
<h2>Cumulative PyPI Downloads</h2>
|
||
<div class="chart-container">
|
||
<canvas id="cumulativeChart"></canvas>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- Chart Row: Daily + Traffic -->
|
||
<div class="chart-row">
|
||
<div class="chart-section">
|
||
<h2>Daily Download Trend</h2>
|
||
<div class="chart-container">
|
||
<canvas id="dailyChart"></canvas>
|
||
</div>
|
||
</div>
|
||
<div class="chart-section">
|
||
<h2>GitHub Traffic (14 days)</h2>
|
||
<div class="chart-container">
|
||
<canvas id="trafficChart"></canvas>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="stats-footer">
|
||
Updated {updated_date} · Data from GitHub API, PyPI Stats, Docker Hub
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<script>
|
||
// --- Chart.js Global Config ---
|
||
Chart.defaults.color = '#a3abba';
|
||
Chart.defaults.borderColor = '#3f3f44';
|
||
Chart.defaults.font.family = "'dm', Monaco, 'Courier New', monospace";
|
||
|
||
const CYAN = '#50ffff';
|
||
const CYAN_DIM = 'rgba(80,255,255,0.10)';
|
||
const CYAN_HOVER = '#0fbbaa';
|
||
const PINK = '#f380f5';
|
||
const PINK_DIM = 'rgba(243,128,245,0.10)';
|
||
const GRID_COLOR = '#3f3f44';
|
||
const TOOLTIP_BG = '#1a1a1a';
|
||
|
||
const tooltipStyle = {{
|
||
backgroundColor: TOOLTIP_BG,
|
||
borderColor: CYAN,
|
||
borderWidth: 1,
|
||
titleColor: '#e8e9ed',
|
||
bodyColor: '#a3abba',
|
||
padding: 10,
|
||
cornerRadius: 6,
|
||
displayColors: false,
|
||
}};
|
||
|
||
const gridStyle = {{ color: GRID_COLOR, drawBorder: false }};
|
||
const tickStyle = {{ color: '#a3abba', font: {{ size: 11 }} }};
|
||
|
||
// --- Data ---
|
||
const monthlyLabels = {json.dumps(monthly_labels)};
|
||
const monthlyValues = {json.dumps(monthly_values)};
|
||
|
||
const starDates = {json.dumps(star_dates)};
|
||
const starCounts = {json.dumps(star_counts)};
|
||
|
||
const cumulativeLabels = {json.dumps(cumulative_labels)};
|
||
const cumulativePypi = {json.dumps(cumulative_pypi)};
|
||
|
||
const dailyLabels = {json.dumps(daily_labels)};
|
||
const dailyValues = {json.dumps(daily_values)};
|
||
|
||
const trafficDates = {json.dumps(traffic_dates)};
|
||
const trafficViews = {json.dumps(traffic_views)};
|
||
const trafficUniques = {json.dumps(traffic_uniques)};
|
||
|
||
function shortMonth(label) {{
|
||
const parts = label.split('-');
|
||
const months = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'];
|
||
return months[parseInt(parts[1])-1] + ' ' + parts[0].slice(2);
|
||
}}
|
||
|
||
function shortDate(label) {{
|
||
const parts = label.split('-');
|
||
const months = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'];
|
||
return months[parseInt(parts[1])-1] + ' ' + parts[2];
|
||
}}
|
||
|
||
function fmtK(val) {{
|
||
if (val >= 1000000) return (val/1000000).toFixed(1) + 'M';
|
||
if (val >= 1000) return (val/1000).toFixed(0) + 'K';
|
||
return val;
|
||
}}
|
||
|
||
// --- Chart 1: Monthly Downloads (bar) ---
|
||
new Chart(document.getElementById('monthlyChart'), {{
|
||
type: 'bar',
|
||
data: {{
|
||
labels: monthlyLabels.map(shortMonth),
|
||
datasets: [{{
|
||
label: 'Downloads',
|
||
data: monthlyValues,
|
||
backgroundColor: CYAN,
|
||
hoverBackgroundColor: CYAN_HOVER,
|
||
borderRadius: 4,
|
||
borderSkipped: false,
|
||
}}]
|
||
}},
|
||
options: {{
|
||
responsive: true,
|
||
maintainAspectRatio: false,
|
||
plugins: {{
|
||
legend: {{ display: false }},
|
||
tooltip: {{ ...tooltipStyle, callbacks: {{ label: ctx => fmtK(ctx.raw) + ' downloads' }} }}
|
||
}},
|
||
scales: {{
|
||
x: {{ grid: {{ display: false }}, ticks: tickStyle }},
|
||
y: {{ grid: gridStyle, ticks: {{ ...tickStyle, callback: fmtK }} }}
|
||
}}
|
||
}}
|
||
}});
|
||
|
||
// --- Chart 2: Star Growth (area) ---
|
||
new Chart(document.getElementById('starsChart'), {{
|
||
type: 'line',
|
||
data: {{
|
||
labels: starDates.map(shortMonth),
|
||
datasets: [{{
|
||
label: 'Stars',
|
||
data: starCounts,
|
||
borderColor: CYAN,
|
||
backgroundColor: CYAN_DIM,
|
||
fill: true,
|
||
tension: 0.35,
|
||
pointRadius: 3,
|
||
pointBackgroundColor: CYAN,
|
||
pointHoverRadius: 6,
|
||
}}]
|
||
}},
|
||
options: {{
|
||
responsive: true,
|
||
maintainAspectRatio: false,
|
||
plugins: {{
|
||
legend: {{ display: false }},
|
||
tooltip: {{ ...tooltipStyle, callbacks: {{ label: ctx => fmtK(ctx.raw) + ' stars' }} }}
|
||
}},
|
||
scales: {{
|
||
x: {{ grid: {{ display: false }}, ticks: {{ ...tickStyle, maxTicksLimit: 8 }} }},
|
||
y: {{ grid: gridStyle, ticks: {{ ...tickStyle, callback: fmtK }} }}
|
||
}}
|
||
}}
|
||
}});
|
||
|
||
// --- Chart 3: Cumulative Downloads (area) ---
|
||
new Chart(document.getElementById('cumulativeChart'), {{
|
||
type: 'line',
|
||
data: {{
|
||
labels: cumulativeLabels.map(shortMonth),
|
||
datasets: [{{
|
||
label: 'Cumulative PyPI',
|
||
data: cumulativePypi,
|
||
borderColor: PINK,
|
||
backgroundColor: PINK_DIM,
|
||
fill: true,
|
||
tension: 0.35,
|
||
pointRadius: 3,
|
||
pointBackgroundColor: PINK,
|
||
pointHoverRadius: 6,
|
||
}}]
|
||
}},
|
||
options: {{
|
||
responsive: true,
|
||
maintainAspectRatio: false,
|
||
plugins: {{
|
||
legend: {{ display: false }},
|
||
tooltip: {{ ...tooltipStyle, callbacks: {{ label: ctx => fmtK(ctx.raw) + ' total downloads' }} }}
|
||
}},
|
||
scales: {{
|
||
x: {{ grid: {{ display: false }}, ticks: tickStyle }},
|
||
y: {{ grid: gridStyle, ticks: {{ ...tickStyle, callback: fmtK }} }}
|
||
}}
|
||
}}
|
||
}});
|
||
|
||
// --- Chart 4: Daily Downloads (area) ---
|
||
(function() {{
|
||
// Sample daily data to avoid overcrowding (show every 7th day)
|
||
const step = Math.max(1, Math.floor(dailyLabels.length / 60));
|
||
const sampledLabels = dailyLabels.filter((_, i) => i % step === 0);
|
||
const sampledValues = dailyValues.filter((_, i) => i % step === 0);
|
||
|
||
new Chart(document.getElementById('dailyChart'), {{
|
||
type: 'line',
|
||
data: {{
|
||
labels: sampledLabels.map(shortDate),
|
||
datasets: [{{
|
||
label: 'Daily Downloads',
|
||
data: sampledValues,
|
||
borderColor: CYAN,
|
||
backgroundColor: CYAN_DIM,
|
||
fill: true,
|
||
tension: 0.3,
|
||
pointRadius: 0,
|
||
borderWidth: 1.5,
|
||
}}]
|
||
}},
|
||
options: {{
|
||
responsive: true,
|
||
maintainAspectRatio: false,
|
||
plugins: {{
|
||
legend: {{ display: false }},
|
||
tooltip: {{ ...tooltipStyle, callbacks: {{ label: ctx => fmtK(ctx.raw) + ' downloads' }} }}
|
||
}},
|
||
scales: {{
|
||
x: {{ grid: {{ display: false }}, ticks: {{ ...tickStyle, maxTicksLimit: 8 }} }},
|
||
y: {{ grid: gridStyle, ticks: {{ ...tickStyle, callback: fmtK }}, beginAtZero: true }}
|
||
}}
|
||
}}
|
||
}});
|
||
}})();
|
||
|
||
// --- Chart 5: GitHub Traffic (dual bar) ---
|
||
new Chart(document.getElementById('trafficChart'), {{
|
||
type: 'bar',
|
||
data: {{
|
||
labels: trafficDates.map(shortDate),
|
||
datasets: [
|
||
{{
|
||
label: 'Page Views',
|
||
data: trafficViews,
|
||
backgroundColor: CYAN,
|
||
hoverBackgroundColor: CYAN_HOVER,
|
||
borderRadius: 4,
|
||
borderSkipped: false,
|
||
}},
|
||
{{
|
||
label: 'Unique Visitors',
|
||
data: trafficUniques,
|
||
backgroundColor: PINK,
|
||
hoverBackgroundColor: '#d060d0',
|
||
borderRadius: 4,
|
||
borderSkipped: false,
|
||
}}
|
||
]
|
||
}},
|
||
options: {{
|
||
responsive: true,
|
||
maintainAspectRatio: false,
|
||
plugins: {{
|
||
legend: {{
|
||
labels: {{ color: '#a3abba', boxWidth: 12, padding: 16 }}
|
||
}},
|
||
tooltip: tooltipStyle,
|
||
}},
|
||
scales: {{
|
||
x: {{ grid: {{ display: false }}, ticks: tickStyle }},
|
||
y: {{ grid: gridStyle, ticks: tickStyle }}
|
||
}}
|
||
}}
|
||
}});
|
||
</script>
|
||
"""
|
||
|
||
|
||
def main():
|
||
print("=" * 50)
|
||
print("Crawl4AI Stats Dashboard Generator")
|
||
print("=" * 50)
|
||
|
||
github = fetch_github_stats()
|
||
print(f" Stars: {github['stars']}, Forks: {github['forks']}")
|
||
|
||
contributors = fetch_contributors_count()
|
||
print(f" Contributors: {contributors}")
|
||
|
||
traffic = fetch_github_traffic()
|
||
print(f" Traffic data points: {len(traffic.get('views', []))} days")
|
||
|
||
pypi_live = fetch_pypi_live()
|
||
print(f" PyPI live: {len(pypi_live['monthly'])} months, {len(pypi_live['daily'])} daily points")
|
||
pypi = merge_pypi_data(pypi_live)
|
||
print(f" PyPI merged: {len(pypi['monthly'])} months, total: {pypi['total']:,}")
|
||
|
||
docker_pulls = fetch_docker_pulls()
|
||
print(f" Docker pulls: {docker_pulls}")
|
||
|
||
# Generate the page
|
||
content = generate_stats_md(github, contributors, traffic, pypi, docker_pulls, STAR_MILESTONES)
|
||
|
||
# Write output
|
||
OUTPUT_PATH.parent.mkdir(parents=True, exist_ok=True)
|
||
OUTPUT_PATH.write_text(content)
|
||
print(f"\nWrote {OUTPUT_PATH} ({len(content):,} bytes)")
|
||
print("Done!")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|