Autometa

Autometa is a simple & focused solution to reading metadata from a variety of file formats into a python class obj

---- Using Autometa Object ---- (Best if passing a file)

>>> from autometa import Autometa
>>> md = Autometa(absolute_file_path="/example/file/path") # optional to pass filepath-- without filepath will only support pip installs & uninstalls
>>> md.update_metadata() #toml_var only needs to be specified if you are reading a toml string from a .py file

>>> md.get_metadata()
{'project': {'dependencies': ['example1', 'example2', 'example3']}}

>>> md.parse_dependencies()
"Dependencies successfully parsed: ['example1', 'example2', 'example3']"

>>>md.pip_install_dependencies(dependencies=["additionalPkg1", "additionalPkg2"]) # installs related packages as well
'''Collecting additionalPkg1 -> install attempt...  Collecting additionalPkg2 -> install attempt...
   Collecting example1... -> install attempt, Collecting example2 -> install attempt... ,
   Collecting example3 -> install attempt...  '''

>>> md.pip_uninstall_dependencies(exclusions=["additionalPkg1","example1"]) 
                                                    # will remove newly installed related packages as well 
'''Found existing installation: example2 -> Uninstalling example2...
   Found existing installation: example3 -> Uninstalling example3...
'''

---- Using Autometa API ----

>>> import autometa
>>> md = autometa.fetch_metadata(absolute_file_path="/example/file/path") 
                                                                       
{'project': {'dependencies': ['example1', 'example2', 'example3']}}

>>> dependencies = autometa.fetch_dependencies(absolute_file_path="/example/file/path", toml_table_key="project",
                                               toml_table_value="dependencies")
"Dependencies successfully parsed: ['example1', 'example2', 'example3']"

>>>md = autometa.pip_install(absolute_file_path="/example/file/path", 
                             manual_input_list=["additionalPkg1", "additionalPkg2"],
                             toml_table_key="project",toml_table_value="dependencies")
'''Collecting additionalPkg1 -> install attempt...  Collecting additionalPkg2 -> install attempt...
   Collecting example1... -> install attempt, Collecting example2 -> install attempt... ,
   Collecting example3 -> install attempt...  '''

>>> md.pip_uninstall(absolute_file_path="/example/file/path", 
                             exclusions_list = ["example1","additionalPkg1","additionalPkg2"],
                             toml_table_key="project",toml_table_value="dependencies")
'''Found existing installation: example2 -> Uninstalling example2...
   Found existing installation: example3 -> Uninstalling example3...
'''

autometa allows you to easily parse in data from .json, .yaml/.yml, .toml, and .py files into a dictionary object in a python class object with a helper function to parse in a list of dependencies listed in said files.

Installing autometa

autometa is available on PyPI:

$ python -m pip install autometa

Features & Best Practices

• Parse in a variety of formatted data into an object holding a dictionary of parsed data using a single function call
• Pip install / uninstall a list of user-input or file-fed dependencies
• By default, dependencies are searched for under a structure that looks like this:

  • for .json:
    {
    "project":
    {
    "dependencies": ['example1', 'example2', 'example3']
    }
    }

  • for .yaml/.yml:
    project:
    dependencies: ['example1', 'example2', 'example3']

  • for .toml
    [project]
    dependencies = ["scrapy", "requests", "numpy"]

  • for .py
    '''
    #META_TOML_START [project]
    dependencies = ["requests", "fastapi", "pygame"]
    #META_TOML_END '''

Cloning the repository

git clone https://github.com/mikl-o/autometa.git