you can use this (my) concurrent function: def concurrent_df_apply(df: pd.DataFrame, function: Callable, df_col_name_1: str, df_col_name_2: str, name_new_col: str): with concurrent.futures.ThreadPoolExecutor(max_workers=len(df.index)) as executor: generator: Generato...
Use current_app under the app context. import concurrent.futures from your_application import your_app # or create_app function to return a Flask instance from flask import current_app from http_calls import get_price, get_items def init(): with your_app.app_context(): with concur...
The ThreadPoolExecutor can be shut down automatically for us by the Python interpreter when we attempt to exit our program. We will explore three examples of this use case, they are: Shut down when exiting the program normally. Shut down when exiting the program via an unhandled exception. ...
ThecombineResults()method usesCompletableFuture.allOf()to wait for all futures in the list to complete. Once complete, it maps the futures, joins the results, and returns a single string: private CompletableFuture<String> combineResults(List<CompletableFuture<String>> dataFetchFutures) { return Co...
import asyncio import concurrent.futures from twocaptcha import TwoCaptcha captcha_result = await captchaSolver(image) async def captchaSolver(image): loop = asyncio.get_running_loop() with concurrent.future.ThreadPoolExecutor() as pool: result = await loop.run_in_executor(pool, lambda: TwoCaptcha...
urls = df["loc"].tolist() client = ScrapingBeeClient(api_key="YOUR_TOKEN") Next, code themainfunction: defmain(): all_texts = []# Use ThreadPoolExecutor to handle threadingwithThreadPoolExecutor(max_workers=5)asexecutor:# Submit all URL processing tasks to the executorfutures = {executo...
Suppose I have 3 downloads, framed as completable futures: Then all of them need to be handled the same way And you can imagine multiple functions to be applied, all in parallel. According to the DRY principle, this example seems inappropriate. So I'm
I also get when it tries to use the GPT4ALL model Segmentation fault (core dumped) Contributor ContributorAuthor voarsh2commentedNov 8, 2023• edited https://docs.danswer.dev/gen_ai_configs/gpt_4_all Where are you seeing the INTERNAL_MODEL_VERSION. I think you may be referring to outda...
IP addresses - some sites may be limited to certain geographical regions or import restrictions on concurrent or total requests from one, single IP address JavaScript - some sites (especially SPAs) make heavy use of JavaScript and you need a proper JavaScript engine to support your scraping If ...
I already checked if it is not related to FastAPI but toSwagger UI. I already checked if it is not related to FastAPI but toReDoc. Commit to Help I commit to help with one of those options 👆 Example Code fromconcurrent.futuresimportThreadPoolExecutorimportasyncioloop=asyncio.get_running_lo...