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1
.python-version
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1
.python-version
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3.12
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BIN
README.md
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BIN
README.md
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275
main.py
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275
main.py
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import json
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import logging
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import sys
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import os
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import time
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from typing import List, Dict, Any, Optional
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from enum import Enum
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import cloudscraper
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import requests # Keep requests for RequestException if needed
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from bs4 import BeautifulSoup
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from fastapi import FastAPI, Query, HTTPException
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from fastapi.concurrency import run_in_threadpool
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import uvicorn
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# --- Logging Setup ---
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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handlers=[logging.StreamHandler(sys.stdout)]
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)
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logger = logging.getLogger(__name__)
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# Define Enum for sort order validation (can be used by both scraper and API)
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class SortOrder(str, Enum):
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asc = "asc"
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desc = "desc"
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# --- Scraper Function (Now handles sorting BEFORE limiting) ---
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def scrape_comic_list(user_id: str, limit: int = 10, sort_order: SortOrder = SortOrder.desc) -> List[Dict[str, Any]]:
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"""
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Scrape comic list from ComicK for a given user using cloudscraper.
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Sorts the comics based on the 'user_read_at' timestamp according to sort_order,
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then applies the limit.
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Returns a list of dictionaries, each containing comic slug, user's last read
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chapter data, the latest available chapter number for the comic, and the
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timestamp when the user last read a chapter of this comic.
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Raises exceptions on failure.
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"""
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url = f"https://comick.io/user/{user_id}/list"
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logger.info(f"Attempting to scrape comics for user: {user_id}. Sorting by 'read_at' {sort_order.value} before applying limit: {limit}")
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try:
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start_time = time.time()
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scraper = cloudscraper.create_scraper(
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browser={
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'browser': 'chrome',
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'platform': 'windows',
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'mobile': False
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},
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delay=5
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)
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response = scraper.get(url, timeout=30)
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request_time = time.time() - start_time
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logger.info(f"Request URL: {response.url}")
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logger.info(f"Status Code: {response.status_code}")
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logger.info(f"Request Time: {request_time:.2f} seconds")
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if response.status_code != 200:
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logger.error(f"Comick request failed for user {user_id} with status code {response.status_code}: {response.text[:500]}...")
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response.raise_for_status()
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soup = BeautifulSoup(response.text, 'html.parser')
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next_data_script = soup.find('script', {'id': '__NEXT_DATA__'})
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if not next_data_script:
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logger.error(f"__NEXT_DATA__ script not found for user {user_id}. HTML structure might have changed or scraping was blocked.")
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raise ValueError("__NEXT_DATA__ script not found. Scraping likely blocked or page structure changed.")
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try:
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next_data = json.loads(next_data_script.string)
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except json.JSONDecodeError as e:
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logger.error(f"Error parsing JSON from __NEXT_DATA__ for user {user_id}: {e}")
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logger.debug(f"__NEXT_DATA__ content (start): {next_data_script.string[:500]}...")
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raise ValueError(f"Failed to parse internal page data: {e}") from e
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page_props = next_data.get('props', {}).get('pageProps', {})
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# Extract the 'follows' list directly, as provided in the example JSON
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follows = page_props.get('follows')
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if not isinstance(follows, list):
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# Fallback: Try the structure found previously if 'follows' isn't directly under pageProps
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follows_data = page_props.get('data', {})
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if isinstance(follows_data, dict):
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follows = follows_data.get('follows', [])
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else:
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follows = [] # Ensure follows is a list if data is not a dict
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if not isinstance(follows, list):
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logger.error(f"Expected 'follows' data to be a list for user {user_id}, but got: {type(follows)}. Data structure might be unexpected. Data: {str(follows)[:200]}")
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raise TypeError(f"'follows' data is not a list. Found type: {type(follows)}")
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# --- Extract ALL followed comics data first ---
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all_comics_data = []
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for follow in follows:
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if isinstance(follow, dict):
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comic_info = follow.get('md_comics')
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user_last_read_chapter_details = follow.get('md_chapters')
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# 'read_at' is directly available in the 'follow' object
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read_at_timestamp = follow.get('read_at') # ISO 8601 string or None
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if isinstance(comic_info, dict) and comic_info.get('slug'):
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slug = comic_info['slug']
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comic_latest_chapter_number = comic_info.get('last_chapter')
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all_comics_data.append({
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"slug": slug,
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"user_last_read_chapter": user_last_read_chapter_details,
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"comic_latest_chapter": comic_latest_chapter_number,
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"user_read_at": read_at_timestamp
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})
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else:
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logger.warning(f"Skipping follow item for user {user_id} due to missing 'md_comics' or 'slug'. Item: {str(follow)[:100]}...")
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else:
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logger.warning(f"Expected a dictionary in 'follows' list for user {user_id}, but got: {type(follow)}")
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logger.info(f"Extracted {len(all_comics_data)} followed comics entries for user {user_id}.")
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# --- Sort the ENTIRE list based on 'user_read_at' ---
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if all_comics_data:
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logger.debug(f"Sorting {len(all_comics_data)} comics for user {user_id} by 'user_read_at' in {sort_order.value} order.")
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reverse_order = (sort_order == SortOrder.desc)
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try:
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# Key function: Treat None as an empty string '' which sorts before ISO timestamps.
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# None comes first in 'asc', last in 'desc'.
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sorted_comics_data = sorted(
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all_comics_data,
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key=lambda item: item.get('user_read_at') or "",
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reverse=reverse_order
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)
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logger.debug(f"Sorting complete for user {user_id}.")
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except TypeError as sort_error:
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logger.error(f"Error during sorting comics for user {user_id}: {sort_error}. Proceeding with unsorted data before limiting.")
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# Use the unsorted list if sorting fails, but still apply limit
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sorted_comics_data = all_comics_data
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else:
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sorted_comics_data = [] # Start with empty list if no data extracted
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# --- Apply limit AFTER sorting ---
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limited_comics_data = sorted_comics_data[:limit]
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logger.info(f"Returning {len(limited_comics_data)} comics for user {user_id} after sorting and applying limit {limit}.")
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return limited_comics_data
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# --- Exception Handling (no changes needed here) ---
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except requests.exceptions.HTTPError as e:
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raise e # Re-raise for API handler
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except requests.exceptions.RequestException as e:
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logger.error(f"Network or request failed for user {user_id}: {e}")
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if hasattr(e, 'response') and e.response is not None:
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logger.error(f"Response status: {e.response.status_code}")
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logger.error(f"Response text: {e.response.text[:500]}...")
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raise ConnectionError(f"Request failed: {e}") from e
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except (ValueError, TypeError) as e: # Catch JSON parsing or type errors from extraction/sorting
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raise e # Re-raise for API handler
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except Exception as e:
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logger.exception(f"An unexpected error occurred during scraping for user {user_id}: {e}")
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raise RuntimeError(f"An unexpected scraping error occurred: {e}") from e
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# --- FastAPI Application ---
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app = FastAPI(
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title="Comick User List Scraper API",
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description="API to scrape the public comic reading list for a given Comick user ID. Data is sorted by last read time *before* limiting.",
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version="1.5.0" # Bump version
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)
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@app.get("/scrape/{user_id}")
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async def get_user_comics(
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user_id: str,
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limit: int = Query(10, ge=1, le=100, description="Maximum number of comic entries to return (1-100). Applied *after* sorting."),
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sort_order: SortOrder = Query(SortOrder.desc, description="Sort order for comics based on 'user_read_at' timestamp *before* limiting. 'asc' for oldest first, 'desc' for newest first. Comics never read ('user_read_at' is null) appear first in 'asc', last in 'desc'.")
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):
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"""
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Scrapes the public comic list for the given Comick **user_id**.
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The list is **sorted** by the `user_read_at` timestamp according to the `sort_order` parameter *before* the `limit` is applied.
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Returns a list of comics, each containing:
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- **slug**: The unique identifier slug for the comic.
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- **user_last_read_chapter**: Information about the last chapter read *by the user* (can be `null` or an object).
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- **comic_latest_chapter**: The latest chapter number *available for the comic series* (can be a number or `null`).
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- **user_read_at**: The timestamp (ISO 8601 string) when the user last marked a chapter as read (can be `null`).
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Parameters:
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- **user_id**: The unique identifier for the user on comick.io.
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- **limit**: Optional query parameter to limit the number of results (applied *after* sorting). Defaults to 10, max 100.
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- **sort_order**: Optional query parameter to sort results by `user_read_at` before limiting. Defaults to `desc` (newest first). Use `asc` for oldest first.
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"""
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logger.info(f"API request received for user: {user_id}, limit: {limit}, sort_order: {sort_order.value}")
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try:
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# Run the synchronous scraper function in a thread pool
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# Pass the sort_order down to the scraper function
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comics_details = await run_in_threadpool(
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scrape_comic_list,
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user_id=user_id,
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limit=limit,
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sort_order=sort_order # Pass the enum value directly
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)
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# The comics_details list is now already sorted and limited by the scraper function
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# Return success response
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return {
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"success": True,
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"data": {
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"user_id": user_id,
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"limit": limit,
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"sort_order": sort_order.value,
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"comics": comics_details # This list is already sorted and limited
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}
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}
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# --- Exception Handling (no changes needed here, covers errors from scraper) ---
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except requests.exceptions.HTTPError as e:
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status_code = 502 # Bad Gateway
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detail = f"Failed to retrieve data from Comick for user '{user_id}'."
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if e.response is not None:
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if e.response.status_code == 404:
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status_code = 404
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detail = f"Comick user '{user_id}' not found."
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elif e.response.status_code >= 500:
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status_code = 502
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detail += f" Upstream server error (Status: {e.response.status_code})."
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elif e.response.status_code >= 400: # e.g., 403 Forbidden
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status_code = 502 # Treat as Bad Gateway from API perspective
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detail += f" Upstream client error (Status: {e.response.status_code}). Check if scraping is blocked."
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else:
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detail += f" Upstream status: {e.response.status_code}"
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logger.warning(f"API Error ({status_code}) for user {user_id}: {detail} - {e}")
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raise HTTPException(status_code=status_code, detail=detail) from e
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except (ValueError, TypeError) as e:
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# Catch potential errors from JSON parsing, type mismatches during extraction or sorting
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logger.error(f"API Error (500) for user {user_id}: Data processing/sorting failed within scraper. Reason: {str(e)}")
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raise HTTPException(status_code=500, detail=f"Internal server error during scraping data processing or sorting: {str(e)}") from e
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except ConnectionError as e:
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logger.error(f"API Error (503) for user {user_id}: Network error connecting to Comick. Reason: {str(e)}")
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raise HTTPException(status_code=503, detail=f"Service Unavailable: Could not connect to Comick. {str(e)}") from e
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except RuntimeError as e: # Catch-all for unexpected scraper errors
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logger.error(f"API Error (500) for user {user_id}: Unexpected scraping error. Reason: {str(e)}")
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raise HTTPException(status_code=500, detail=f"Internal server error during scraping: {str(e)}") from e
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except Exception as e: # Catch-all for unexpected API level errors
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logger.exception(f"Unexpected API error for user {user_id}: {e}")
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raise HTTPException(status_code=500, detail="An unexpected internal server error occurred.") from e
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||||
|
||||
|
||||
@app.get("/", include_in_schema=False)
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async def root():
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return {"message": "Comick Scraper API is running. Use /docs for documentation."}
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# --- Server Runner (unchanged) ---
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if __name__ == "__main__":
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host = os.getenv("HOST", "0.0.0.0")
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port = int(os.getenv("PORT", "8000"))
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||||
is_development = os.getenv("ENVIRONMENT", "production").lower() == "development"
|
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log_level = "debug" if is_development else "info"
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||||
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logging.getLogger().setLevel(log_level.upper())
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logger.info(f"Log level set to: {log_level.upper()}")
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print(f"Starting server on {host}:{port} (Development Mode: {is_development})")
|
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uvicorn.run(
|
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"main:app", # Assuming your file is named main.py
|
||||
host=host,
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port=port,
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reload=is_development,
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||||
log_level=log_level
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||||
)
|
||||
14
pyproject.toml
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14
pyproject.toml
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|
|||
[project]
|
||||
name = "scraper"
|
||||
version = "0.1.0"
|
||||
description = "Add your description here"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.12"
|
||||
dependencies = [
|
||||
"beautifulsoup4>=4.13.4",
|
||||
"cloudscraper>=1.2.71",
|
||||
"fastapi>=0.115.12",
|
||||
"logging>=0.4.9.6",
|
||||
"requests>=2.32.3",
|
||||
"uvicorn>=0.34.2",
|
||||
]
|
||||
345
uv.lock
generated
Normal file
345
uv.lock
generated
Normal file
|
|
@ -0,0 +1,345 @@
|
|||
version = 1
|
||||
revision = 2
|
||||
requires-python = ">=3.12"
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
version = "0.7.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
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wheels = [
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "anyio"
|
||||
version = "4.9.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "idna" },
|
||||
{ name = "sniffio" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028", size = 190949, upload-time = "2025-03-17T00:02:54.77Z" }
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||||
|
||||
[[package]]
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||||
name = "beautifulsoup4"
|
||||
version = "4.13.4"
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||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
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{ name = "soupsieve" },
|
||||
{ name = "typing-extensions" },
|
||||
]
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||||
sdist = { url = "https://files.pythonhosted.org/packages/d8/e4/0c4c39e18fd76d6a628d4dd8da40543d136ce2d1752bd6eeeab0791f4d6b/beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195", size = 621067, upload-time = "2025-04-15T17:05:13.836Z" }
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wheels = [
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]
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2025.4.26"
|
||||
source = { registry = "https://pypi.org/simple" }
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||||
sdist = { url = "https://files.pythonhosted.org/packages/e8/9e/c05b3920a3b7d20d3d3310465f50348e5b3694f4f88c6daf736eef3024c4/certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6", size = 160705, upload-time = "2025-04-26T02:12:29.51Z" }
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]
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||||
|
||||
[[package]]
|
||||
name = "charset-normalizer"
|
||||
version = "3.4.2"
|
||||
source = { registry = "https://pypi.org/simple" }
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Loading…
Add table
Add a link
Reference in a new issue