old_contents: # This Source Code Form is subject to the terms of the Mozilla Public
  # License, v. 2.0. If a copy of the MPL was not distributed with this file,
  # You can obtain one at http://mozilla.org/MPL/2.0/.
  
  import os
  import time
  from itertools import islice
  
  import requests
  
  BUGBUG_HTTP_SERVER = os.environ.get(
      "BUGBUG_HTTP_SERVER", "https://bugbug.herokuapp.com/"
  )
  
  
  def chunks(it, size):
      it = iter(it)
      return iter(lambda: tuple(islice(it, size)), ())
  
  
  def classification_http_request(url, bug_ids):
      response = requests.post(url, headers={"X-Api-Key": "Test"}, json={"bugs": bug_ids})
  
      response.raise_for_status()
  
      return response.json()
  
  
  def get_bug_ids_classification(
      model, bug_ids, retry_count=21, retry_sleep=7, batch_size=1000
  ):
      if len(bug_ids) > 0:
          url = f"{BUGBUG_HTTP_SERVER}/{model}/predict/batch"
  
          # Copy the bug ids to avoid mutating it
          bug_ids = set(map(int, bug_ids))
  
          json_response = {}
  
          for _ in range(retry_count):
  
              # Do the call in chunks
              for chunk in list(chunks(bug_ids, batch_size)):
                  # The send the current chunk
                  response = classification_http_request(url, chunk)
  
                  # Check which bug ids are ready
                  for bug_id, bug_data in response["bugs"].items():
                      if not bug_data.get("ready", True):
                          continue
  
                      # The bug is ready, add it to the json_response and pop it
                      # up from the current batch
                      # The http service returns strings for backward compatibility reasons
                      bug_ids.remove(int(bug_id))
                      json_response[bug_id] = bug_data
  
              if len(bug_ids) == 0:
                  break
              else:
                  time.sleep(retry_sleep)
  
          else:
              total_sleep = retry_count * retry_sleep
              msg = f"Couldn't get {len(bug_ids)} bug classification in {total_sleep} seconds, aborting"
              raise Exception(msg)
      else:
          json_response = {}
  
      return json_response
  
new_contents: # This Source Code Form is subject to the terms of the Mozilla Public
  # License, v. 2.0. If a copy of the MPL was not distributed with this file,
  # You can obtain one at http://mozilla.org/MPL/2.0/.
  
  import os
  import time
  from itertools import islice
  
  import requests
  
  BUGBUG_HTTP_SERVER = os.environ.get(
      "BUGBUG_HTTP_SERVER", "https://bugbug.herokuapp.com/"
  )
  
  
  def chunks(it, size):
      it = iter(it)
      return iter(lambda: tuple(islice(it, size)), ())
  
  
  def classification_http_request(url, bug_ids):
      response = requests.post(
          url, headers={"X-Api-Key": "autonag"}, json={"bugs": bug_ids}
      )
  
      response.raise_for_status()
  
      return response.json()
  
  
  def get_bug_ids_classification(
      model, bug_ids, retry_count=21, retry_sleep=7, batch_size=1000
  ):
      if len(bug_ids) > 0:
          url = f"{BUGBUG_HTTP_SERVER}/{model}/predict/batch"
  
          # Copy the bug ids to avoid mutating it
          bug_ids = set(map(int, bug_ids))
  
          json_response = {}
  
          for _ in range(retry_count):
  
              # Do the call in chunks
              for chunk in list(chunks(bug_ids, batch_size)):
                  # The send the current chunk
                  response = classification_http_request(url, chunk)
  
                  # Check which bug ids are ready
                  for bug_id, bug_data in response["bugs"].items():
                      if not bug_data.get("ready", True):
                          continue
  
                      # The bug is ready, add it to the json_response and pop it
                      # up from the current batch
                      # The http service returns strings for backward compatibility reasons
                      bug_ids.remove(int(bug_id))
                      json_response[bug_id] = bug_data
  
              if len(bug_ids) == 0:
                  break
              else:
                  time.sleep(retry_sleep)
  
          else:
              total_sleep = retry_count * retry_sleep
              msg = f"Couldn't get {len(bug_ids)} bug classification in {total_sleep} seconds, aborting"
              raise Exception(msg)
      else:
          json_response = {}
  
      return json_response
  
subject: Use a proper API key when doing requests to the bugbug service (#915)