unit_run.utils#
Module Contents#
Classes#
Functions#
Inspect a module and return a list of objects that passed a test by the filter funciton. |
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Inspect a file and return a list of callables. This is a wrapper around inspect_by_path with the exception that we don’t want to inspect classes or functions that are in _tmp_module. |
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Get information about a callable. This is used to generate a JSON - serializable dictionary that can be serialized to JSON. |
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Inspects callable infos by path. This is a wrapper around inspect_callables_by_path that returns a list of dictionaries. |
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Find callable by name. This is a wrapper around inspect_callables_by_path to search for callable with given name. |
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Load a JSON file from the given path. |
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Saves a python object as JSON. This is a convenience function for creating a file in the same directory as the json_path |
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Decorator to check type of parameters. This decorator is used to check the type of parameters passed to a function by inspecting the function signature. |
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This is a test function. It should be used in a unit test as the first argument to the function |
API#
- unit_run.utils.inspect_by_path(path: str, filter_func=None, with_name=False)[source]#
Inspect a module and return a list of objects that passed a test by the filter funciton.
- Parameters:
path – The path to inspect.
filter_func – A function that takes a module member as parameter and returns whether one member should be included in the results.
with_name – If True the name of the object will be included in the result.
- Returns:
A list of ( name object ) tuples. If no path is given an empty list is returned. >>> from machinery
- unit_run.utils.inspect_callables_by_path(path)[source]#
Inspect a file and return a list of callables. This is a wrapper around inspect_by_path with the exception that we don’t want to inspect classes or functions that are in _tmp_module.
- Parameters:
path – Path to the file to inspect. Can be a file or a directory.
- Returns:
A list of inspect. Classes or inspect. Function objects in the file at the given path. If there are no calls to the file it returns an empty list
- unit_run.utils.get_info_dict_from_callable(c)[source]#
Get information about a callable. This is used to generate a JSON - serializable dictionary that can be serialized to JSON.
- Parameters:
c – The callable to get information about. Must be a callable
- Returns:
A dictionary containing information about the
- unit_run.utils.inspect_callable_infos_by_path(path)[source]#
Inspects callable infos by path. This is a wrapper around inspect_callables_by_path that returns a list of dictionaries.
- Parameters:
path – Path to inspect callable infos. Can be a file path or a string containing globs.
- Returns:
A list of dictionaries one for each callable that has been inspected. Each dictionary is a dictionary with keys corresponding to the callable’s name and values corresponding to the information returned by get_info_dict_from_callable
- unit_run.utils.find_callable_by_name(path, name)[source]#
Find callable by name. This is a wrapper around inspect_callables_by_path to search for callable with given name.
- Parameters:
path – Path to the callable in Celery.
name – Name of callable to find. It must be a string.
- Returns:
Callable if found None otherwise. >>> from sympy. utilities. iterables import find_callable_by_name Traceback ( most recent call last ) : TypeError : name is
- unit_run.utils.load_json(json_path)[source]#
Load a JSON file from the given path.
- Parameters:
json_path – Path to the JSON file. Must be a string.
- Returns:
An object of the JSON file that was loaded from the file at
json_path. See : func :json. loadfor details
- unit_run.utils.save_as_json(json_path, obj, indent=2)[source]#
Saves a python object as JSON. This is a convenience function for creating a file in the same directory as the json_path
- Parameters:
json_path – Path to the JSON file
obj – Object to be saved as JSON. It can be any python object
indent – Number of spaces to indent JSON output default is
- unit_run.utils.auto_type_check(func)[source]#
Decorator to check type of parameters. This decorator is used to check the type of parameters passed to a function by inspecting the function signature.
- Parameters:
func – function to be wrapped. It must have at least one parameter
- Returns:
wrapped function with type