epythet.tools.published_docs
Elements for a tool to setup docs and check if docs are published, and if not, why.
>>> from epythet.tools.published_docs import published_doc_diagnosis_df
>>> published_doc_diagnosis_df('https://github.com/i2mint/epythet')
url doc_page_url doc_page_exists repo_has_docs_folder
0 https://github.com/i2mint/epythet https://i2mint.github.io/epythet True True
>>> published_doc_diagnosis_df([
... 'https://github.com/i2mint/epythet', 'https://github.com/otosense/omisc',
... ])
url doc_page_url doc_page_exists repo_has_docs_folder
0 https://github.com/i2mint/epythet https://i2mint.github.io/epythet True True
1 https://github.com/otosense/omisc https://otosense.github.io/omisc False False
- epythet.tools.published_docs.branch_exists(repo_stub: str, branch: str, *, headers: dict | ~typing.Callable[[], dict] = <function dflt_headers>)[source]
Check if a branch exists in a repo.
- Parameters:
repo_stub – A string of the form
org/repo
.branch – The branch name to check for.
headers – A function that returns a dictionary of headers
- epythet.tools.published_docs.configure_github_pages(repo_stub: str, *, target_branch='gh-pages', folder='/', headers: dict | ~typing.Callable[[], dict] = <function dflt_headers>)[source]
Configure or update GitHub Pages for a repo.
Example:
>>> configure_github_pages('i2mint/epythet')
- epythet.tools.published_docs.github_org_and_repo(github_url)[source]
>>> github_org_and_repo('https://github.com/i2mint/i2') {'org': 'i2mint', 'repo': 'i2'}
- epythet.tools.published_docs.published_doc_diagnosis_df(urls: str | Iterable[str] | Iterable[Iterable] = 'https://raw.githubusercontent.com/otosense/content/main/tables/projects.csv', url_column='url')[source]
The published_doc_diagnosis_df gets you a pandas dataframe (requires pandas to be installed!) that will tell you if given github
org/repo
url(s) have published documentation and if a docs folder even exists (in master branch).- Parameters:
urls – A list of urls, a table containing urls, or a single url pointing to a csv where this table can be downloaded from.
url_column – When
urls
is a table, what column name contains the urls.
- Returns:
A dataframe with the diagnosis