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[python] CivitAI Scraper - Data archival utility for CivitAI
""" =======================================================================================
civitai-scraper.py v1.0.1 deitydurg
=======================================================================================
This script is used to scrape CivitAI (https://civitai.com) for models and creators.
It will save the results to a json file, which can be used to bulk-download the models.
This script is not affiliated with CivitAI in any way, and is provided as-is with some
updates when I have time. Therefore you should use it at your own risk.
---------------------------------------------------------------------------------------
Questions? Comments? Need to scream at me for writing this? OK!
Feel free to present them to the Discord username deitydurg, or comment on this Gist.
I will address them at my earliest convenience.
For help with the script, run it with the -h or --help options.
=======================================================================================
"""
import json
import os, sys
from pathlib import Path
import asyncio
from argparse import ArgumentParser
from typing import Any, Dict, List
from aiolimiter import AsyncLimiter
import aiohttp
import aiofiles
import logging
logging.basicConfig(
level=logging.DEBUG,
format='[%(levelname)s] [%(asctime)s.%(msecs)03d] %(message)s',
datefmt='%Y/%m/%d %H:%M:%S',
handlers=[
logging.StreamHandler(stream=sys.stdout)
]
)
def log(loglevel: int, message: str) -> None:
"""
log: Log a message to the logging system.
Args:
message (int): The message to log.
Returns:
None
"""
func = sys._getframe(1).f_code.co_name
message = f"[{func}]: {message}"
log_func = {
'info': logging.info,
'warning': logging.warning,
'error': logging.error,
'critical': logging.critical,
'debug': logging.debug
}.get(logging.getLevelName(loglevel).lower(), logging.info)
log_func(message)
async def api_call(url: str, method: str = 'GET', data: Any = None, retries: int = 3, delay: int = 5) -> str:
"""
api_call: Make an API call to the given URL.
Args:
url (str): The URL to make the request to.
method (str, optional): The HTTP method to use. Defaults to 'GET'.
data (any, optional): The data to send with the request. Defaults to None.
retries (int, optional): The number of times to retry the request. Defaults to 3.
delay (int, optional): The number of seconds to wait between retries. Defaults to 5.
Returns:
str: The response text.
"""
attempt = 0
while attempt < retries:
try:
log(logging.DEBUG, f"{method} {url}")
async with limiter:
async with aiohttp.ClientSession() as session:
async with session.request(method, url, data=data) as response:
response.raise_for_status()
return await response.text()
except aiohttp.ClientError as e:
log(logging.WARNING, f"Error on attempt {attempt + 1}/{retries} ({e})")
await asyncio.sleep(delay)
attempt += 1
log(logging.ERROR, "Failed to retrieve data after retries.")
return None
async def controller(page_queue: asyncio.Queue, controller_complete: asyncio.Event, save_padlock: asyncio.Event, page_limit: int, start_page: int) -> None:
"""
controller: The main controller for the CivitAI scraping system.
Args:
page_queue (asyncio.Queue): The queue to emit the page numbers to.
save_queue (asyncio.Queue): The queue to emit the save events to.
page_limit (int): The maximum number of pages to emit.
start_page (int): The page of creators to start scraping from.
Returns:
None
"""
page = start_page
while page <= start_page + page_limit:
await page_queue.put(page)
log(logging.DEBUG, f"Emitted page: {page}")
page += 1
while not page_queue.empty():
await asyncio.sleep(1)
while not save_padlock.is_set():
await asyncio.sleep(1)
controller_complete.set()
log(logging.DEBUG, "Controller thread exited.")
async def creator_emitter(creator_queue: asyncio.Queue, creators_json: List[Dict], page_queue: asyncio.Queue, controller_complete: asyncio.Event, save_padlock: asyncio.Event, noskip: bool = False) -> None:
"""
creator_emitter: Emits creator objects to the given queue
Args:
creator_queue (asyncio.Queue): The queue to emit the creator objects to.
creators_json (list of dict): The creators object to append the creators to.
page (int, optional): The page on the user's models listing to scrape from.
noskip (bool, optional): If True, do not skip creators that are already in the database. Defaults to False.
Returns:
None
"""
while controller_complete.is_set() == False or not page_queue.empty():
page = await page_queue.get()
log(logging.INFO, f"Consumed page: {page}")
creators = await api_call(f"https://civitai.com/api/v1/creators?page={page}")
creators = json.loads(creators)
if not creators or len(creators['items']) == 0:
log(logging.INFO, f"No creators found on page: {page}")
return
for creator in creators.get('items', []):
creator_username = creator['username']
creator_link = creator['link']
if len(creators_json) > 0:
in_creators_json = any(c['creator'] == creator_username for c in creators_json)
else:
in_creators_json = False
if in_creators_json and noskip == False:
log(logging.DEBUG, f"Skipping creator: {creator_username}")
continue
creator_json = {'creator': creator_username, 'link': creator_link, 'page': page}
await creator_queue.put(creator_json)
await save_padlock.wait()
creators_json = list_append(creators_json, creator_json, 'creator', True)
log(logging.DEBUG, f"Emitted creator: {creator_username}")
page_queue.task_done()
log(logging.DEBUG, "Creator emitter thread exited.")
async def model_emitter(creator_queue: asyncio.Queue, model_queue: asyncio.Queue, controller_complete: asyncio.Event) -> None:
"""
model_emitter: Consume creator objects from the given queue and scrape their models.
Args:
creator_queue (asyncio.Queue): The queue to consume the creator objects from.
model_queue (asyncio.Queue): The queue to emit the model objects to.
controller_complete (asyncio.Event): The event to set when the generator is complete.
Returns:
None
"""
while controller_complete.is_set() == False or not creator_queue.empty():
creator_json = await creator_queue.get()
page = 1
while True:
page_models = await api_call(f"{creator_json['link']}&page={page}")
page_models = json.loads(page_models)
if not page_models or len(page_models['items']) == 0:
log(logging.INFO, f"No models found for creator: {creator_json['creator']}")
break
models_added = 0
for model_type in ["LORA", "Checkpoint", "Controlnet"]:
filtered_models = [m["modelVersions"] for m in page_models['items'] if m['type'] == model_type]
if len(filtered_models) == 0:
log(logging.INFO, f"No models found for {creator_json['creator']} with type: {model_type}")
continue
models_to_add = [
{
'filename': f"{creator_json['creator']}-{model_file['name']}",
'url': model_file['downloadUrl'],
'creator': creator_json['creator'],
'type': model_type,
'page': page
}
for model_versions in filtered_models
for model_version in model_versions
for model_file in model_version['files']
if 'name' in model_file and 'downloadUrl' in model_file and model_file['pickleScanResult'] == 'Success' and model_file['virusScanResult'] == 'Success'
]
for model in models_to_add:
models_added += 1
log(logging.DEBUG, f"Emitted model: {model['filename']}")
await model_queue.put(model)
if models_added == 0:
log(logging.DEBUG, f"No models emitted for creator: {creator_json['creator']}")
break
page += 1
creator_queue.task_done()
log(logging.DEBUG, "Model emitter thread exited.")
async def model_consumer(model_queue: asyncio.Queue, models_json: List[Dict], controller_complete: asyncio.Event, save_padlock: asyncio.Event ) -> None:
"""
model_consumer: Consume model objects from the given queue and add them to the given json string.
Args:
model_queue (asyncio.Queue): The queue to consume the model objects from.
models_json (list of dicts): The models object to append the models to.
controller_complete (asyncio.Event): The event to set when the generator is complete.
Returns:
str: The json string with the models appended.
"""
while controller_complete.is_set() == False or not model_queue.empty():
model_json = await model_queue.get()
model_filename = model_json['filename']
await save_padlock.wait()
models_json = list_append(models_json, model_json, 'filename', True)
log(logging.INFO, f"Processed model: {model_filename}")
model_queue.task_done()
log(logging.DEBUG, "Model consumer thread exited.")
async def save_db_emitter(creators_json: List[Dict], models_json: List[Dict], file_path: str, save_queue: asyncio.Queue, controller_complete: asyncio.Event, save_padlock: asyncio.Event, save_interval: int = 60) -> None:
"""
save_db_emitter: Emit save events to the given queue.
Args:
creators_json (list of dict): The creators object to save.
models_json (list of dict): The models object to save.
file_path (str): The path to the database file.
save_queue (asyncio.Queue): The queue to emit the save events to.
controller_complete (asyncio.Event): The event to set when the generator is complete.
save_padlock (asyncio.Event): The event to set when the save event is emitted. Await this event before saving anything to the in-memory database.
save_interval (int, optional): The number of seconds to wait between save events. Defaults to 60.
"""
while controller_complete.is_set() == False or not save_queue.empty():
await asyncio.sleep(save_interval)
save_padlock.clear()
data = {'creators': creators_json, 'models': models_json, 'file_path': file_path}
await save_queue.put(data)
log(logging.DEBUG, f"Emitted save event")
save_padlock.set()
log(logging.DEBUG, f"Emitted final save event")
data = {'creators': creators_json, 'models': models_json, 'file_path': file_path}
await save_queue.put(data)
log(logging.DEBUG, "Save emitter thread exited.")
async def save_db_consumer(save_queue: asyncio.Queue, controller_complete: asyncio.Event) -> None:
"""
save_db_consumer: Consume save events from the given queue.
Args:
save_queue (asyncio.Queue): The queue to consume the save events from.
"""
while controller_complete.is_set() == False or not save_queue.empty():
data = await save_queue.get()
creators_json = data['creators']
models_json = data['models']
file_path = data['file_path']
await save_db_json(creators_json, models_json, file_path)
save_queue.task_done()
log(logging.DEBUG, "Save consumer thread exited.")
async def load_db_json(file_path: str) -> (List[Dict], List[Dict]):
"""
load_db_json: Load the JSON database file at the given path.
Args:
file_path (str): The path to the json file.
Returns:
list of dict: The creators object.
list of dict: The models object.
"""
if not os.path.exists(file_path):
return [], []
async with aiofiles.open(file_path, 'r', encoding="utf-8") as file:
data = json.loads(await file.read())
log(logging.DEBUG, f"Loaded {len(data['creators'])} creators and {len(data['models'])} models from: {file_path}")
return data['creators'], data['models']
async def save_db_json(creators: List[Dict], models: List[Dict], file_path: str) -> None:
"""
save_db_json: Save the given creators and models to the given JSON file.
Args:
creators (list of dict): The creators object to save.
models (list of dict): The models object to save.
file_path (str): The path to the json file.
Returns:
None
"""
json_data = {'creators': creators, 'models': models}
async with aiofiles.open(file_path, 'w', encoding="utf-8") as file:
await file.write(json.dumps(json_data, ensure_ascii=False, indent=4))
log(logging.DEBUG, f"Saved {len(creators)} creators and {len(models)} models to {file_path}")
def last_key(data: List[Dict], key: str, default: Any = None) -> Any:
"""
last_key: Get the last value of the given key in the given json data.
Args:
data (dist of dict): The json data to search.
key (str): The key to search for.
default (str, optional): The default value to return if the key is not found. Defaults to None.
Returns:
str: The value of the key.
"""
return data[-1].get(key, default) if data else default
def list_append(data: List[Dict], new_item: Dict, unique_key: str = None, update_if_exists: bool = False) -> List[Dict]:
"""
list_append: Append or optionally update the given item to the given list.
Args:
data (list of dict): The data to append to or update.
new_item (dict): The item to append or with which to update an existing item.
unique_key (str, optional): The key to check for uniqueness. Defaults to None.
update_if_exists (bool, optional): If True, update an existing item based on the unique_key.
Defaults to False.
Returns:
list of dict: The data with the new item appended or existing item updated.
"""
if unique_key and update_if_exists:
for index, item in enumerate(data):
if item.get(unique_key) == new_item.get(unique_key):
data[index] = new_item
break
else:
data.append(new_item)
else:
if new_item not in data:
data.append(new_item)
return data
async def main() -> None:
"""
main: The main function.
Returns:
None
"""
parser = ArgumentParser(
prog="civitai_scraper.py",
description="Scrape CivitAI for models and creators.",
allow_abbrev=True,
add_help=False,
epilog="Tool created by: deitydurg | If any questions, ask on Discord for assistance.")
logging_group = parser.add_argument_group("Logging")
logging_group.add_argument('-x', '--log-level', type=str, default="info", dest="loglevel", choices=["info", "warning", "error", "critical", "debug"], help="The logging level to use. If you want to see debug messages, set this to 'debug'.")
logging_group.add_argument('-y', '--log-file', type=str, default=f"{Path(__file__).parent.absolute()}{os.sep}civarti-scraper.log", dest="logfile", help="The path to the log file where logs will be saved.")
ratelimit_group = parser.add_argument_group("Rate Limits & Performance")
ratelimit_group.add_argument('-p', '--api-period', type=int, default=180, dest="apiperiod", help="The period of time to limit API calls (in seconds). WARNING: Setting this value too low may result in a ban from Civiarti API, or you being temporarily ratelimited.")
ratelimit_group.add_argument('-l', '--api-limit', type=int, default=100, dest="apilimit", help="The number of API calls to allow per period. WARNING: Setting this value too low may result in a ban from Civiarti API, or you being temporarily ratelimited.")
ratelimit_group.add_argument('-t', '--threads', type=int, default=5, dest="threads", help="The maximum number of concurrent/asynchronous threads to run. This can help out with entering retries for making too many requests at once, but will slow down the tool. If you are seeing retry messages often, try lowering this value from its default of 5.")
scraping_group = parser.add_argument_group("Scraping Options")
scraping_group.add_argument('-c', '--creator-limit', type=int, default=100, dest="creatorlimit", help="The maximum number of creators to scrape.")
scraping_group.add_argument('-s', '--start-page', type=int, default=-1, dest="startpage", help="The page of creators to start scraping from. You can use this to resume a previous scraping session. If this is set to -1, it will start from the last page scraped.")
scraping_group.add_argument('-n', '--no-skip', action="store_true", dest="noskip", help="Do not skip creators that are already in the database. This will cause the tool to scrape all encountered creators, even if they are already in the database -- updating their models.")
database_group = parser.add_argument_group("Database Options")
database_group.add_argument('-j', '--json', type=str, default=f"{Path(__file__).parent.absolute()}{os.sep}civarti-db.json", dest="db", help="The path to the json file used as the database. If the file does not exist, it will be created.")
database_group.add_argument('-i', '--save-interval', type=int, default=60, dest="saveinterval", help="The number of seconds to wait between saving the database to disk. This can help with performance, but setting it too low may result in data loss.")
misc_group = parser.add_argument_group("Miscellaneous")
misc_group.add_argument('-v', '--version', action="version", version="%(prog)s 1.0.1", help="Show the version of this tool.")
misc_group.add_argument('-h', '--help', action="help", help="Show this help message and exit.")
argv = parser.parse_args()
argv.creatorlimit = max(1, argv.creatorlimit)
log(logging.DEBUG, f"Scraping up to {argv.creatorlimit} creators from Civitai")
global limiter
limiter = AsyncLimiter(argv.apiperiod, argv.apilimit)
log(logging.DEBUG, f"Set API rate limit to {argv.apilimit} calls per {argv.apiperiod} second(s).")
logging.getLogger().setLevel(argv.loglevel.upper())
logging.getLogger().addHandler(logging.FileHandler(argv.logfile))
no_skip = argv.noskip
if no_skip == False:
log(logging.DEBUG, "Skipping creators that are already in the database.")
else:
log(logging.DEBUG, "Not skipping creators that are already in the database.")
###############################
# Start of the main program...#
###############################
creators_json, models_json = await load_db_json(argv.db)
startpage = argv.startpage if argv.startpage != -1 else (last_key(creators_json, 'page', 1) + 1 if len(creators_json) > 0 and last_key(creators_json, 'page', 1) == 1 else last_key(creators_json, 'page', 1) + 1)
log(logging.DEBUG, f"Starting from page: {startpage}")
controller_complete = asyncio.Event()
save_padlock = asyncio.Event()
creator_queue = asyncio.Queue(argv.threads)
model_queue = asyncio.Queue(argv.threads)
page_queue = asyncio.Queue(argv.threads)
save_queue = asyncio.Queue(1)
save_padlock.set()
tasks = [
*[
asyncio.create_task(controller(page_queue, controller_complete, save_padlock, argv.creatorlimit, startpage))
],
*[
asyncio.create_task(creator_emitter(creator_queue, creators_json, page_queue, controller_complete, save_padlock, no_skip))
for _ in range(argv.threads)
],
*[
asyncio.create_task(model_emitter(creator_queue, model_queue, controller_complete))
for _ in range(argv.threads)
],
*[
asyncio.create_task(model_consumer(model_queue, models_json, controller_complete, save_padlock))
for _ in range(argv.threads)
],
*[
asyncio.create_task(save_db_emitter(creators_json, models_json, argv.db, save_queue, controller_complete, save_padlock, argv.saveinterval))
],
*[
asyncio.create_task(save_db_consumer(save_queue, controller_complete))
]
]
await asyncio.gather(*tasks)
await page_queue.join()
await creator_queue.join()
await model_queue.join()
await save_queue.join()
for task in tasks:
task.cancel()
log(logging.INFO, "Scraping process completed.")
if __name__ == "__main__":
asyncio.run(main())
@loopyd
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loopyd commented Nov 25, 2023

Changelog

1.0.0

  • Initial release

๐Ÿ“ Notes:

This is the first release! Some things will definitely be buggy, so bear with me while releases continue. If you would like to make any contributions, please feel free to suggest changes by commenting below, or request features.

1.0.1

  • Add -save-internal parameter that allows scraper to save to the database periodically.
  • Add save_emitter and save_consumer threads to thread model to control saving and save file padlocking event for safe I/O writes to database file.
  • Fix some issues with output and rename main controller thread appropriately (the thread that emits page numbers populates the thread network with work, therefore it is the main controller).

๐Ÿ“ Notes:

Benchmark: is able to scrape the entire website for model download links that pertain to users in less than 6 hours.

1.0.2

  • Add colorized log output with colorama.
  • Add --no-color switch to turn colorized output on or off.
  • Database compression with brotli (produces smaller database files)

๐Ÿ“Notes:

This change adds some polish. The script is starting to get very large...

1.0.3

  • Move to pydantic for 37% performance increase through object serialization and singleton decorator.
  • Add .env file support to configure the tool with .env file placed next to it.

๐Ÿ“ Notes:

The claimed speedup is due to use of avoiding making copies of objects during assignment and object reference caching provided by pydantic, and singleton decorator that prevents large objects from making additional instances.

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