anime-collection / scrape_gel.py
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Added continuous scraping for Gelbooru.
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import os
import re
import sys
import utils
import random
import urllib
import asyncio
import aiohttp
import aiofiles
import argparse
import concurrent
import html as libhtml
from constants import *
from bs4 import BeautifulSoup
async def process_link(scrape_args, scrape_state):
image_id = re.search("id=(\d+)", scrape_args.target).group(1)
image_id_int = int(image_id)
scrape_state.last_reached_image_id = image_id_int
image_id_already_exists = image_id in scrape_state.existing_image_ids
if image_id_already_exists and image_id_int % 100 < 99:
# print(f"Image {image_id} already exists, skipped.")
return
scrape_state.existing_image_ids.add(image_id)
error = None
for i in range(1, MAX_RETRY + 2): # 1 indexed.
try:
if utils.get_sigint_count() >= 1 or isinstance(scrape_args.max_scrape_count, int) and scrape_state.scraped_image_count >= scrape_args.max_scrape_count:
break
# print(f"Processing image {image_id}...")
async with scrape_state.session.get(scrape_args.target) as response:
html = await response.text()
soup = BeautifulSoup(html, "html.parser")
score_span = soup.find("span", id="psc" + image_id)
if score_span:
scrape_state.last_reached_image_score = int(score_span.contents[0])
if image_id_already_exists:
# print(f"Image {image_id} already exists, skipped.")
return
video_container = soup.find("video", id="gelcomVideoPlayer")
if video_container:
print(f"Image {image_id} is a video, skipped.")
return
image_container = soup.find("section", class_=["image-container", "note-container"])
if not image_container:
raise RuntimeError(f"No image container found for {image_id}.")
if not scrape_args.use_low_quality:
image_download_url = soup.find("a", string="Original image")["href"]
else:
image_download_url = image_container.find("img", id="image")["src"]
image_ext = os.path.splitext(image_download_url)[1].lower()
if image_ext not in IMAGE_EXT:
print(f"Image {image_id} is not an image, skipped.")
return
tags = image_container["data-tags"].strip().split()
tag_count = len(tags)
if tag_count < scrape_args.min_tags:
# print(f"Image {image_id} doesn't have enough tags({tag_count} < {scrape_args.min_tags}), skipped.")
return
rating = image_container["data-rating"]
if rating == "explicit": tags.append("nsfw")
elif rating == "questionable": tags.append("qfw")
else: tags.append("sfw")
random.shuffle(tags)
image_path = os.path.join(IMAGE_DIR, image_id + image_ext)
tags_path = os.path.join(IMAGE_DIR, image_id + ".txt")
tags_text = ", ".join(libhtml.unescape(tag).replace("_", " ") for tag in tags)
async with scrape_state.session.get(image_download_url) as img_response:
img_data = await img_response.read()
os.makedirs(IMAGE_DIR, exist_ok=True)
async with aiofiles.open(image_path, "wb") as f:
await f.write(img_data)
async with aiofiles.open(tags_path, "w", encoding="utf8") as f:
await f.write(tags_text)
if not await utils.submit_validation(scrape_state.thread_pool, image_path, tags_path, scrape_args.width, scrape_args.height, scrape_args.convert_to_avif):
scrape_state.existing_image_ids.remove(image_id)
else:
scrape_state.scraped_image_count += 1
if scrape_state.scraped_image_count % 1000 == 0:
print(f"Scraped {scrape_state.scraped_image_count}/{scrape_args.max_scrape_count} images.")
return
except Exception as e:
error = e
if i > MAX_RETRY:
break
# print(f"A {e.__class__.__name__} occurred with image {image_id}: {e}\nPausing for 0.1 second before retrying attempt {i}/{MAX_RETRY}...")
await asyncio.sleep(0.1)
if not image_id_already_exists:
scrape_state.existing_image_ids.remove(image_id)
print(f"All retry attempts failed, image {image_id} skipped. Final error {error.__class__.__name__}: {error}")
def parse_args():
parser = argparse.ArgumentParser(description="Scrape images from Gelbooru.")
parser.add_argument("-s", "--site", default="https://gelbooru.com", help="Domain to scrape from, default to https://gelbooru.com")
parser.add_argument("-W", "--width", type=int, help="Scale the width of the image to the specified value, must either provide both width and height or not provide both")
parser.add_argument("-H", "--height", type=int, help="Scale the height of the image to the specified value, must either provide both width and height or not provide both")
parser.add_argument("-a", "--avif", action="store_true", help="If set, will convert the image into avif, need to have pillow-avif-plugin installed")
parser.add_argument("-l", "--low-quality", action="store_true", help="If set, will download the sample instead of the original image")
parser.add_argument("-t", "--min-tags", type=int, default=0, help="Filter out images with less than the specified amount of tags, default to 0")
parser.add_argument("-m", "--max-scrape-count", type=int, help="Stop after scraping the set amount of images, may not be exact because of the asynchronous nature of this script, default to infinite")
parser.add_argument("-c", "--continuous-scraping", action="store_true", help="If set, will scraping continuously even when reaching the 20000 images Gelbooru search depth cap by adjusting search tags")
parser.add_argument("tags_to_search", nargs=argparse.REMAINDER, help="List of tags to search for, default to all")
args = parser.parse_args()
if args.width is None or args.height is None:
if args.width is not None or args.height is not None:
print("You must either provide both width and height or not provide both at the same time!")
sys.exit(1)
else:
if args.width < 1:
print("Width must be greater than or equal to 1!")
sys.exit(1)
if args.height < 1:
print("Height must be greater than or equal to 1!")
sys.exit(1)
if args.avif:
try:
import pillow_avif
except ImportError:
print("You need to pip install pillow-avif-plugin to use avif conversion!")
sys.exit(1)
if args.min_tags < 0:
print("Minimum tags must be greater than or equal to 0!")
sys.exit(1)
if isinstance(args.max_scrape_count, int) and args.max_scrape_count <= 0:
print("Maximum scrape count must be greater than 0!")
sys.exit(1)
if not args.tags_to_search:
args.tags_to_search = ["all"]
return args
async def main():
args = parse_args()
print("Starting...")
page_number = 0
search_tags = utils.SearchTags(args.tags_to_search)
os.makedirs(IMAGE_DIR, exist_ok=True)
existing_image_ids = utils.get_existing_image_id_set(IMAGE_DIR)
utils.register_sigint_callback()
async with aiohttp.ClientSession(cookies={"fringeBenefits": "yup"}, timeout=aiohttp.ClientTimeout(total=TIMEOUT)) as session:
scrape_state = utils.ScrapeState(concurrent.futures.ThreadPoolExecutor(max_workers=os.cpu_count()), session, existing_image_ids)
tasks = []
while True:
try:
if utils.get_sigint_count() >= 1 or isinstance(args.max_scrape_count, int) and scrape_state.scraped_image_count >= args.max_scrape_count:
break
request_url = f"{args.site}/index.php?page=post&s=list&tags={search_tags.to_search_string()}&pid={page_number}"
print(f"Going to {request_url}")
async with scrape_state.session.get(request_url) as response:
html = await response.text()
soup = BeautifulSoup(html, "html.parser")
thumbnails_div = soup.find("div", class_="thumbnail-container")
if not thumbnails_div:
raise RuntimeError("Thumbnails division not found.")
notice_error = thumbnails_div.find("div", class_="notice error")
if notice_error and args.continuous_scraping:
print("Reached restricted depth, adjusting search tags to continue scraping...")
search_tags.update_bound(scrape_state)
page_number = 0
continue
image_urls = [a["href"] for a in thumbnails_div.find_all("a")]
image_url_count = len(image_urls)
if image_url_count == 0:
print("Website returned 0 image urls.")
break
print(f"Got {image_url_count} posts.")
page_number += image_url_count
for image_url in image_urls:
if utils.get_sigint_count() >= 1 or isinstance(args.max_scrape_count, int) and scrape_state.scraped_image_count >= args.max_scrape_count:
break
while len(tasks) >= MAX_TASKS:
if utils.get_sigint_count() >= 1 or isinstance(args.max_scrape_count, int) and scrape_state.scraped_image_count >= args.max_scrape_count:
break
await asyncio.sleep(0.1)
for i in range(len(tasks) - 1, -1, -1):
task = tasks[i]
if task.done():
await task
del tasks[i]
tasks.append(asyncio.create_task(process_link(utils.ScrapeArgs(image_url, args.width, args.height, args.avif, args.low_quality, args.min_tags, args.max_scrape_count), scrape_state)))
except Exception as e:
print(f"An error occurred: {e}\nPausing for 0.1 second before retrying...")
await asyncio.sleep(0.1)
if utils.get_sigint_count() >= 1:
print("Script interrupted by user, gracefully exiting...\nYou can interrupt again to exit semi-forcefully, but it will break image checks!")
else:
print("No more images to download, waiting already submitted tasks to finish...")
while tasks and utils.get_sigint_count() <= 1:
await asyncio.sleep(0.1)
for i in range(len(tasks) - 1, -1, -1):
task = tasks[i]
if task.done():
await task
del tasks[i]
if utils.get_sigint_count() >= 1:
if utils.get_sigint_count() >= 2:
print("Another interrupt received, exiting semi-forcefully...\nYou can interrupt again for truly forceful exit, but it most likely will break a lot of things!")
sys.exit(1)
if __name__ == "__main__":
try:
asyncio.run(main())
except KeyboardInterrupt:
print("\nScript interrupted by user, exiting...")
sys.exit(1)