Why am I getting this error with Asyncio?

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• Python File Tagging System does not retrieve nested dictionaries in dictionary

  I am building a file tagging system using Python. The idea is simple. Given a directory of files (and files within subdirectories), I want to filter them out using a filter input and tag those files with a word or a phrase.

  If I got the following contents in my current directory:

  data/
     budget.xls
     world_building_budget.txt
  a.txt
  b.exe
  hello_world.dat
  world_builder.spec
  

  and I execute the following command in the shell:

  py -3 tag_tool.py -filter=world -tag="World-Building Tool"
  

  My output will be:

  These files were tagged with "World-Building Tool":
  data/ world_building_budget.txt
  hello_world.dat
  world_builder.spec
  

  My current output isn't exactly like this but basically, I am converting all files and files within subdirectories into a single dictionary like this:

  def fs_tree_to_dict(path_):
      file_token = ''
      for root, dirs, files in os.walk(path_):
          tree = {d: fs_tree_to_dict(os.path.join(root, d)) for d in dirs}
          tree.update({f: file_token for f in files})
          return tree
  

  Right now, my dictionary looks like this: key:''.

  In the following function, I am turning the empty values '' into empty lists (to hold my tags):

  def empty_str_to_list(d):
      for k,v in d.items():
          if v == '':
              d[k] = []
          elif isinstance(v, dict):
              empty_str_to_list(v)
  

  When I run my entire code, this is my output:

  hello_world.dat ['World-Building Tool']
  world_builder.spec ['World-Building Tool']
  

  But it does not see data/world_building_budget.txt. This is the full dictionary:

  {'data': {'world_building_budget.txt': []},  
  'a.txt': [],
  'hello_world.dat': [], 
  'b.exe': [], 
  'world_builder.spec': []}
  
  

  This is my full code:

  import os, argparse
  
  
  def fs_tree_to_dict(path_):
      file_token = ''
      for root, dirs, files in os.walk(path_):
          tree = {d: fs_tree_to_dict(os.path.join(root, d)) for d in dirs}
          tree.update({f: file_token for f in files})
          return tree
  
  
  def empty_str_to_list(d):
      for k, v in d.items():
          if v == '':
              d[k] = []
          elif isinstance(v, dict):
              empty_str_to_list(v)
  
  
  parser = argparse.ArgumentParser(description="Just an example", formatter_class=argparse.ArgumentDefaultsHelpFormatter)
  
  parser.add_argument("--filter", action="store", help="keyword to filter files")
  parser.add_argument("--tag", action="store", help="a tag phrase to attach to a file")
  parser.add_argument("--get_tagged", action="store", help="retrieve files matching an existing tag")
  
  args = parser.parse_args()
  
  filter = args.filter
  tag = args.tag
  get_tagged = args.get_tagged
  current_dir = os.getcwd()
  
  files_dict = fs_tree_to_dict(current_dir)
  empty_str_to_list(files_dict)
  
  for k, v in files_dict.items():
      if filter in k:
          if v == []:
              v.append(tag)
              print(k, v)
  
          elif isinstance(v, dict):
              empty_str_to_list(v)
  
      if get_tagged in v:
          print(k, v)
  
• Actaully i am working on a project and in it, it is showing no module name pip_internal plz help me for the same. I am using pycharm(conda interpreter

   File "C:\Users\pjain\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 196, in _run_module_as_main
      return _run_code(code, main_globals, None,
    File "C:\Users\pjain\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code
      exec(code, run_globals)
    File "C:\Users\pjain\AppData\Local\Programs\Python\Python310\Scripts\pip.exe\__main__.py", line 4, in <module>
    File "C:\Users\pjain\AppData\Local\Programs\Python\Python310\lib\site-packages\pip\_internal\__init__.py", line 4, in <module>
      from pip_internal.utils import _log
  

  I am using pycharm with conda interpreter.

  
• Looping the function if the input is not string

  I'm new to python (first of all) I have a homework to do a function about checking if an item exists in a dictionary or not.

  inventory = {"apple" : 50, "orange" : 50, "pineapple" : 70, "strawberry" : 30}
  
  def check_item():
      x = input("Enter the fruit's name: ")
      if not x.isalpha():
          print("Error! You need to type the name of the fruit")
      elif x in inventory:
          print("Fruit found:", x)
          print("Inventory available:", inventory[x],"KG")
      else:
          print("Fruit not found")
  check_item()
  

  I want the function to loop again only if the input written is not string. I've tried to type return Under print("Error! You need to type the name of the fruit") but didn't work. Help
• AsyncIO coroutines with different IP's

  I am building a python bot to check thousands of url json adresses and gather the information I need in these jsons.

  My problem at the moment is the speed, mainly because the server that hosts this urls blocks my bot to load too many of their links too fast.

  I am using asyncIO coroutines to speed up the gathering process but they all run on my IP to enter those urls.

  My question is: Is there a way to manage the different coroutine's used IPs? sending the requests from different IPs would able me to send the requests faster for every coroutine.

  Another question I have is: where do I find and how do I gather all the IPs I have to use for the different coroutines?

  thank you
• Running Async task with aiohttp web server using asyncio

  I'm having a small web server that that i'm trying to run async functions on web request:

  from aiohttp import web
  import asyncio
  
      async def funcB():
          while True:
                print("running")
      
      async def funcA(req):
          print('start')
          asyncio.Task(funcB())
          print('execute task completed')
          return web.Response(text="OK Start");
      
      
      if __name__ == '__main__':
      
          app = web.Application()
          app.add_routes([web.get('/', funcA)])
          web.run_app(app, host='127.0.0.1', port=2000)
  

  Once running the app and triggering it by curl http://127.0.0.1:2000/ i do get the execute task completed logline, but the curl response of the curl is not been received, if I comment out the asyncio.Task(funcB()) line - I do get the response of the CURL command - I must say that funcB dose run..

  what do I miss here?
• Mac web requests hanging after thousands of requests

  I'm facing a very strange issue and am looking for advice on how to debug it more than I am on a simple fix, since I've been unable to create a simple reproducible case.

  Over the course of a few hours I'm opening 10,000-100,000 async requests to remote web domains with httpx. Specifically I'm using a context manager around each request in order to (hopefully) release the resources that I'm allocating in the case of an exception. I'll only have a few thousand open at any one time. My code at its base is doing the following:

  async def run_request(url):
      try:
          async with AsyncClient() as client:
              response = await client.get(url, timeout=15)
      except Exception as e:
          continue
  

  with ProcessPoolExecutor() as executor:
      await gather(
          *[
              asyncio.get_event_loop().run_in_executor(
                  executor,
                  partial(run_request, url=url)
              )
              for url in urls
            ]
        )
  
  

  Sometimes the exception loop throws in the case of a timeout or an inaccessible host.

  At some point my whole machine will hang when trying to create new connections. Chrome freezes, a locally hosted postgres instance freezes, even lsof -i -a freezes. Yet none actually timeout, they just spin forever. It seems as if the OS is unable to allocate new sockets in order to communicate with remote hosts, but I'm not sure if that explains the postgres or lsof behavior.

  Is it possible socket opens are being leaked and not released, despite the context manager? Has anyone seen something similar? What are the profiling methods to explore to determine the root cause?