API

asya.cli

asya.cli.create_search_specs(username, sort, order, text, involvement, query_opts)

Create GitHub issues search specification (params dict)

asya.cli.no_print(*args, **kwargs)

Dummy method for not actually printing anything

asya.cli.print_result(result)

Print Asya result nicely

asya.cli.setup_info_msgs(supervisor)

Setup text info printing for given supervisor

asya.cli.setup_progressbar(supervisor)

Setup progressbar for given supervisor

asya.exceptions

exception asya.exceptions.AsyaException(data, headers)

Exception of Asya caused during communication with the GitHub API

Variables:
  • data (dict) – API response data causing the exception
  • headers (dict) – headers of the API response that caused the exception

asya.logic

Important

This is the module to be implemented!

asya.logic.gather_acquaintances(search_specs, supervisor)

Gather acquaintances from GitHub issues and comments with given search_specs with counts of comments in form of dict. It uses asyncio and aiohttp.ClientSession.

>>> gather_acquaintances({'q': 'author:MarekSuchanek'}, supervisor)
{'MarekSuchanek': 7, 'hroncok': 15, 'encukou': 10}

For more information about the search_specs content visit the GitHub Search API docs.

Parameters:
  • search_specs (dict) – dictionary with search specification (params for the search)
  • supervisor (asya.supervisor.AsyaSupervisor) – supervisor object used for this gathering
Returns:

dictionary with usernames as keys and number of comments as values
Return type:

dict

asya.supervisor

class asya.supervisor.AsyaSupervisor(api_endpoint, token, wait_rate_limit, skip_404, per_page=100)

Supervisor for running the Asya gathering async procedure. It contains some procedure-wide setting and calls.

The gather_acquaintances function must call supervisor’s report_ methods at the right places (described in docstrings):

...
# receiving and processing the issue
supervisor.report_issue(issue)
# additional work with the issue
...

Your implementation may add custom callbacks:

def my_procedure(issue):
    ...

supervisor.callbacks['issue'].append(my_procedure)
# my_procedure will be called when report_issue is
# called on the supervisor object

You may also use supervisor.obj for your data as you need. Do not touch other parameters nor edit this class!

Variables:
  • api_endpoint – API endpoint to be used for communication
  • token – API token to be used (you can use has_token)
  • wait_rate_limit – True if the app should wait until the rate limit resets after it is exceeded, False if exceeding the limit should cause AsyaException
  • skip_404 – True the app should skip 404 errors, False if they should raise AsyaException
  • per_page – size of page for API requests
has_token

True if the API token is set

obj = None

User obj (can be anything)

report_comment(comment)

Method to be called after processing of a single comment

Parameters:comment (dict) – GitHub comment (data from API)
report_issue(issue)

Method to be called after processing of a single issue

Parameters:issue (dict) – GitHub issue (data from API)
report_issues_search_page(page, number)

Method to be called before processing of a single result page

Parameters:
  • page (dict) – page of issues search (data from API)
  • number (int) – number of the page
report_skip(headers)

Method to be called whenever some result is skipped (see skip_404)

Parameters:headers (dict) – headers of the API response that caused skipping
report_wait(active, headers)

Method to be called whenever changing waiting state (see wait_rate_limit)

Parameters:
  • active (bool) – True if wait is starting, False if ending
  • headers (dict) – headers of the API response that caused waiting