Implement image fetching and storage functionality with logging
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@@ -0,0 +1,83 @@
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import aiohttp
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import os
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from dotenv import load_dotenv
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import logging
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import xml.etree.ElementTree as ET
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import re
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import uuid
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from urllib.parse import urlparse
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async def get_latest_hot_posts(subreddits):
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post_limit = os.getenv("POST_LIMIT", 20)
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headers = {"User-Agent": "Mozilla/5.0 (compatible; bnuy-api/0.0.1)"}
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posts = []
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logging.info(f"SUBREDDITS raw: {subreddits!r}, split: {subreddits.split(',')!r}")
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for subreddit in subreddits.split(","):
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url = f"https://www.reddit.com/r/{subreddit.strip()}/hot.rss?limit={post_limit}"
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logging.info(f"Fetching hot posts from r/{subreddit.strip()}...")
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async with aiohttp.ClientSession() as session:
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try:
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async with session.get(url, headers=headers) as response:
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if response.status != 200:
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logging.error(f"Failed to fetch RSS feed: {response.status}")
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continue
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xml = await response.text()
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except Exception as e:
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logging.error(f"Error fetching RSS feed: {e}")
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continue
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try:
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root = ET.fromstring(xml)
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ns = {"atom": "http://www.w3.org/2005/Atom"}
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for entry in root.findall("atom:entry", ns):
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post_title = entry.find("atom:title", ns)
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content = entry.find("atom:content", ns)
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if post_title is None or content is None or content.text is None:
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continue
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link_match = re.search(r'<a href="([^"]+)">\[link\]</a>', content.text)
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if link_match and link_match.group(1).lower().endswith(('.jpg', '.jpeg', '.png', '.gif')):
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logging.debug(f"Found image post: {post_title.text} - {link_match.group(1)}")
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posts.append((post_title.text, link_match.group(1), subreddit.strip()))
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except ET.ParseError as e:
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logging.error(f"Error parsing RSS feed: {e}")
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continue
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return posts
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async def save_picture(pool):
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os.makedirs("data/images", exist_ok=True)
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subreddits = os.getenv("SUBREDDITS", "bunnies,bnuuy")
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posts = await get_latest_hot_posts(subreddits)
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if not posts:
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logging.info("No image posts found.")
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return
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for title, url, subreddit in posts:
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async with pool.acquire() as conn:
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async with conn.cursor() as cursor:
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await cursor.execute("SELECT COUNT(*) FROM images WHERE url = %s", (url,))
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result = await cursor.fetchone()
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if result[0] > 0:
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logging.info(f"Post already exists in database: {title} - {url}")
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continue
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logging.info(f"Saving post: {title} - {url}")
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try:
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async with aiohttp.ClientSession() as session:
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async with session.get(url) as response:
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if response.status != 200:
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logging.error(f"Failed to download image: {response.status}")
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continue
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content = await response.read()
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generate_filename = str(uuid.uuid4()) + os.path.splitext(urlparse(url).path)[1]
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filename = os.path.join("data/images", generate_filename)
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with open(filename, "wb") as f:
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f.write(content)
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logging.info(f"Saved image to {filename}")
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async with pool.acquire() as conn:
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async with conn.cursor() as cursor:
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await cursor.execute(
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"INSERT INTO images (url, filename, subreddit) VALUES (%s, %s, %s)",
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(url, generate_filename, subreddit)
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)
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await conn.commit()
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except Exception as e:
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logging.error(f"Error saving image: {e}")
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@@ -1,8 +1,31 @@
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from fastapi import FastAPI
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import aiohttp
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from fastapi import FastAPI, HTTPException
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from fastapi.responses import FileResponse
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import asyncmy
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import asyncio
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import os
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from dotenv import load_dotenv
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from contextlib import asynccontextmanager
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import logging
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load_dotenv()
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log_level = os.getenv("LOG_LEVEL", "INFO").upper()
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log_formatter = logging.Formatter(
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fmt="%(asctime)s [%(levelname)s] %(message)s",
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datefmt="%Y-%m-%d %H:%M:%S",
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)
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file_handler = logging.FileHandler("data/api.log", encoding="utf-8")
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file_handler.setFormatter(log_formatter)
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console_handler = logging.StreamHandler()
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console_handler.setFormatter(log_formatter)
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logging.basicConfig(
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level=getattr(logging, log_level, logging.INFO),
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handlers=[file_handler, console_handler],
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)
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@asynccontextmanager
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async def connect_db(app: FastAPI):
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@@ -15,18 +38,34 @@ async def connect_db(app: FastAPI):
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minsize=5,
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maxsize=20
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)
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await create_tables(app.state.pool)
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task = asyncio.create_task(fetch_images())
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try:
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yield
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finally:
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task.cancel()
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try:
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await task
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except asyncio.CancelledError:
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pass
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app.state.pool.close()
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await app.state.pool.wait_closed()
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app = FastAPI(lifespan=connect_db)
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@asynccontextmanager
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async def get_connection():
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async with app.state.pool.acquire() as conn:
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yield conn
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async def create_tables(pool):
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async with pool.acquire() as conn:
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async with conn.cursor() as cursor:
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await cursor.execute("""
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CREATE TABLE IF NOT EXISTS images (
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id INT AUTO_INCREMENT PRIMARY KEY,
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url VARCHAR(255) NOT NULL,
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filename VARCHAR(255) NOT NULL,
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subreddit VARCHAR(255) NOT NULL,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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)
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""")
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await conn.commit()
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@app.get("/")
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async def root():
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@@ -34,5 +73,30 @@ async def root():
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@app.get("/random")
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async def get_random_bnuy():
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async with get_connection() as conn:
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return {"message": "here could be a bnuy, if I would've implemented it"}
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@app.get("/images/{filename}")
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async def get_image(filename: str):
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async with app.state.pool.acquire() as conn:
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async with conn.cursor() as cursor:
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await cursor.execute("SELECT filename FROM images WHERE filename = %s", (filename,))
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result = await cursor.fetchone()
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if result:
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filepath = os.path.join("data/images", result[0])
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if os.path.exists(filepath):
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return FileResponse(filepath)
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else:
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raise HTTPException(status_code=404, detail="Image file not found")
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else:
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raise HTTPException(status_code=404, detail="Image not found")
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async def fetch_images():
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from collector import save_picture
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while True:
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try:
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logging.info("Starting image collection...")
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await save_picture(app.state.pool)
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logging.info("Image collection completed. Sleeping for 1 hour...")
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except Exception as e:
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logging.error(f"Error during image collection: {e}")
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await asyncio.sleep(86400) # Sleep for 24 hours
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@@ -1,2 +1,3 @@
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fastapi[standard]
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asyncmy
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aiohttp
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