428 lines
13 KiB
Python
428 lines
13 KiB
Python
from fastapi import FastAPI, HTTPException, Header
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from pyppeteer import launch
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import os
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import asyncio
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import json
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import re
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import sqlite3
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import time
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from datetime import datetime, timedelta
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from typing import Optional, Dict, List, Any
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from urllib.parse import unquote
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app = FastAPI()
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# Get API key from environment variable
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API_KEY = os.getenv('API_KEY')
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if not API_KEY:
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raise ValueError("API_KEY environment variable must be set")
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# Define custom user agent
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CUSTOM_USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'
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# Initialize SQLite database
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def init_db():
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db_path = '/db/cache.db'
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db_dir = os.path.dirname(db_path)
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# Ensure the directory exists
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if not os.path.exists(db_dir):
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try:
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os.makedirs(db_dir, exist_ok=True)
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print(f"Created directory: {db_dir}")
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except Exception as e:
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print(f"Warning: Could not create directory {db_dir}: {e}")
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# Fallback to using a local database file
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db_path = 'cache.db'
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print(f"Using local database file: {db_path}")
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try:
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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cursor.execute('''
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CREATE TABLE IF NOT EXISTS cache (
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url TEXT,
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route TEXT,
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data TEXT,
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timestamp INTEGER,
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PRIMARY KEY (url, route)
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)
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''')
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conn.commit()
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conn.close()
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print(f"Database initialized at {db_path}")
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except sqlite3.OperationalError as e:
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print(f"Error initializing database: {e}")
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# Fallback to using a local database file if the mounted volume has permission issues
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db_path = 'cache.db'
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print(f"Falling back to local database file: {db_path}")
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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cursor.execute('''
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CREATE TABLE IF NOT EXISTS cache (
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url TEXT,
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route TEXT,
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data TEXT,
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timestamp INTEGER,
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PRIMARY KEY (url, route)
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)
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''')
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conn.commit()
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conn.close()
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print(f"Local database initialized at {db_path}")
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# Update the global DB_PATH
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global DB_PATH
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DB_PATH = db_path
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# Define the database path
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DB_PATH = '/db/cache.db'
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# Get cached data if it exists and is not older than 36 hours
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def get_cached_data(url, route):
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conn = sqlite3.connect(DB_PATH)
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cursor = conn.cursor()
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cache_expiry = int(time.time()) - (36 * 60 * 60) # 36 hours in seconds
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cursor.execute(
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"SELECT data FROM cache WHERE url = ? AND route = ? AND timestamp > ?",
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(url, route, cache_expiry)
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)
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result = cursor.fetchone()
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conn.close()
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if result:
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print(f"Cache hit for {url} on route {route}")
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return json.loads(result[0])
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return None
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# Save data to cache
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def save_to_cache(url, route, data):
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conn = sqlite3.connect(DB_PATH)
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cursor = conn.cursor()
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timestamp = int(time.time())
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# Convert data to JSON string
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data_json = json.dumps(data)
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cursor.execute(
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"INSERT OR REPLACE INTO cache (url, route, data, timestamp) VALUES (?, ?, ?, ?)",
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(url, route, data_json, timestamp)
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)
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conn.commit()
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conn.close()
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print(f"Saved to cache: {url} on route {route}")
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# Initialize database on startup
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init_db()
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async def wait_for_network_idle(page):
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"""Wait until no network requests are in flight"""
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await page.waitForNetworkIdle(idleTime=500, timeout=30000)
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@app.head("/")
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async def health_check():
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return {"status": "ok"}
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@app.get("/")
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async def visit_url(url: str, x_api_key: Optional[str] = Header(None)):
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# Validate API key
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if not x_api_key or x_api_key != API_KEY:
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raise HTTPException(status_code=401, detail="Invalid API key")
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# Decode URL if it's encoded
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decoded_url = unquote(url)
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# Check cache first
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cached_result = get_cached_data(decoded_url, "visit")
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if cached_result:
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return cached_result
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browser = None
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try:
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print(decoded_url)
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# Launch browser using installed Chrome
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browser = await launch(
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headless=True,
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executablePath='/usr/bin/google-chrome',
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args=['--no-sandbox', '--disable-setuid-sandbox']
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)
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# Create new page
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page = await browser.newPage()
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# Set custom user agent
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await page.setUserAgent(CUSTOM_USER_AGENT)
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# Navigate to URL and wait for network idle
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await page.goto(decoded_url, waitUntil='networkidle2')
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# Get page content
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content = await page.content()
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# Close page
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await page.close()
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result = {"status": "success", "content": content}
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# Save to cache
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save_to_cache(decoded_url, "visit", result)
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return result
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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finally:
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# Ensure browser is closed even if an error occurs
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if browser:
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await browser.close()
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@app.get("/seo")
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async def extract_seo(url: str, x_api_key: Optional[str] = Header(None)):
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"""Extract SEO information from a website"""
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# Validate API key
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if not x_api_key or x_api_key != API_KEY:
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raise HTTPException(status_code=401, detail="Invalid API key")
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# Decode URL if it's encoded
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decoded_url = unquote(url)
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# Check cache first
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cached_result = get_cached_data(decoded_url, "seo")
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if cached_result:
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return cached_result
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browser = None
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try:
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print(f"Extracting SEO from: {decoded_url}")
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# Launch browser using installed Chrome
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browser = await launch(
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headless=True,
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executablePath='/usr/bin/google-chrome',
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args=['--no-sandbox', '--disable-setuid-sandbox']
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)
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# Create new page
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page = await browser.newPage()
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# Set custom user agent
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await page.setUserAgent(CUSTOM_USER_AGENT)
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# Navigate to URL and wait for network idle
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await page.goto(decoded_url, waitUntil='networkidle2')
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# Extract JSON-LD data
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json_ld_data = await page.evaluate('''() => {
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const jsonLdScripts = Array.from(document.querySelectorAll('script[type="application/ld+json"]'));
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return jsonLdScripts.map(script => {
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try {
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return JSON.parse(script.textContent);
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} catch (e) {
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return { error: "Failed to parse JSON-LD", content: script.textContent };
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}
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});
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}''')
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# Extract meta tags
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meta_tags = await page.evaluate('''() => {
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const metaTags = Array.from(document.querySelectorAll('meta'));
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return metaTags.map(tag => {
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const attributes = Array.from(tag.attributes);
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const result = {};
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attributes.forEach(attr => {
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result[attr.name] = attr.value;
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});
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return result;
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});
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}''')
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# Extract title
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title = await page.evaluate('document.title')
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# Extract canonical URL
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canonical_url = await page.evaluate('''() => {
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const link = document.querySelector('link[rel="canonical"]');
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return link ? link.href : null;
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}''')
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# Extract Open Graph data
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og_data = await page.evaluate('''() => {
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const ogTags = Array.from(document.querySelectorAll('meta[property^="og:"]'));
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const result = {};
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ogTags.forEach(tag => {
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const property = tag.getAttribute('property');
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const content = tag.getAttribute('content');
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result[property] = content;
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});
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return result;
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}''')
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# Extract Twitter Card data
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twitter_data = await page.evaluate('''() => {
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const twitterTags = Array.from(document.querySelectorAll('meta[name^="twitter:"]'));
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const result = {};
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twitterTags.forEach(tag => {
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const name = tag.getAttribute('name');
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const content = tag.getAttribute('content');
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result[name] = content;
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});
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return result;
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}''')
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# Close page
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await page.close()
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# Compile all SEO data
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seo_data = {
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"title": title,
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"canonical_url": canonical_url,
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"json_ld": json_ld_data,
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"meta_tags": meta_tags,
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"open_graph": og_data,
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"twitter_card": twitter_data
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}
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result = {"status": "success", "seo_data": seo_data}
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# Save to cache
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save_to_cache(decoded_url, "seo", result)
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return result
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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finally:
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# Ensure browser is closed even if an error occurs
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if browser:
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await browser.close()
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@app.get("/meta")
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async def extract_meta_tags(url: str, x_api_key: Optional[str] = Header(None)):
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"""Extract meta tags from a website"""
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# Validate API key
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if not x_api_key or x_api_key != API_KEY:
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raise HTTPException(status_code=401, detail="Invalid API key")
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# Decode URL if it's encoded
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decoded_url = unquote(url)
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# Check cache first
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cached_result = get_cached_data(decoded_url, "meta")
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if cached_result:
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return cached_result
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browser = None
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try:
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print(f"Extracting meta tags from: {decoded_url}")
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# Launch browser using installed Chrome
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browser = await launch(
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headless=True,
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executablePath='/usr/bin/google-chrome',
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args=['--no-sandbox', '--disable-setuid-sandbox']
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)
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# Create new page
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page = await browser.newPage()
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# Set custom user agent
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await page.setUserAgent(CUSTOM_USER_AGENT)
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# Navigate to URL and wait for network idle
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await page.goto(decoded_url, waitUntil='networkidle2')
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# Extract meta tags
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meta_tags = await page.evaluate('''() => {
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const metaTags = Array.from(document.querySelectorAll('meta'));
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return metaTags.map(tag => {
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const attributes = Array.from(tag.attributes);
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const result = {};
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attributes.forEach(attr => {
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result[attr.name] = attr.value;
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});
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return result;
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});
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}''')
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# Extract title
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title = await page.evaluate('document.title')
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# Close page
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await page.close()
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result = {
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"status": "success",
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"url": decoded_url,
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"title": title,
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"meta_tags": meta_tags
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}
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# Save to cache
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save_to_cache(decoded_url, "meta", result)
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return result
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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finally:
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# Ensure browser is closed even if an error occurs
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if browser:
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await browser.close()
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@app.get("/cache/clear")
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async def clear_cache(x_api_key: Optional[str] = Header(None)):
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"""Clear the entire cache database"""
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# Validate API key
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if not x_api_key or x_api_key != API_KEY:
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raise HTTPException(status_code=401, detail="Invalid API key")
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conn = sqlite3.connect(DB_PATH)
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cursor = conn.cursor()
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cursor.execute("DELETE FROM cache")
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conn.commit()
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conn.close()
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return {"status": "success", "message": "Cache cleared successfully"}
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@app.get("/cache/stats")
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async def cache_stats(x_api_key: Optional[str] = Header(None)):
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"""Get cache statistics"""
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# Validate API key
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if not x_api_key or x_api_key != API_KEY:
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raise HTTPException(status_code=401, detail="Invalid API key")
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conn = sqlite3.connect(DB_PATH)
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cursor = conn.cursor()
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# Get total entries
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cursor.execute("SELECT COUNT(*) FROM cache")
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total_entries = cursor.fetchone()[0]
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# Get entries by route
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cursor.execute("SELECT route, COUNT(*) FROM cache GROUP BY route")
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routes = {route: count for route, count in cursor.fetchall()}
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# Get recent entries (last 24 hours)
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recent_timestamp = int(time.time()) - (24 * 60 * 60)
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cursor.execute("SELECT COUNT(*) FROM cache WHERE timestamp > ?", (recent_timestamp,))
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recent_entries = cursor.fetchone()[0]
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conn.close()
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return {
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"status": "success",
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"stats": {
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"total_entries": total_entries,
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"entries_by_route": routes,
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"recent_entries": recent_entries
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}
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}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8000)
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