npx skills add ...
npx skills add microsoft/semantic-link-labs --skill build-docs
npx skills add microsoft/semantic-link-labs --skill build-docs
Guide for building documentation and validating docstrings. Use this when asked to build docs, check docstrings, or validate documentation.
This skill covers documentation building and docstring validation workflows for the Semantic Link Labs project.
Use this skill when you need to:
| Component | Details |
|---|---|
| Framework | Sphinx with numpydoc |
| Theme | sphinx_rtd_theme |
| Hosting | ReadTheDocs |
| Source location | docs/source/ |
| Build output | docs/build/html/ |
| Config | docs/source/conf.py |
Install documentation dependencies:
Open docs/build/html/index.html in a browser.
The project uses .readthedocs.yaml for automated builds:
This project uses numpydoc style for all docstrings.
Always include links to API documentation:
For functions supporting Service Principal authentication:
Symptom: Sphinx warning about missing docstring.
Fix: Add complete numpydoc-style docstring with all required sections.
Symptom: Warning about type mismatch between signature and docstring.
Fix: Ensure docstring parameter types match function signature type hints.
Symptom: Warning about unexpected indentation.
Fix: Use consistent 4-space indentation in docstrings.
Symptom: Warning about broken reference.
Fix: Verify URLs are correct and use proper RST link syntax:
Key settings in docs/source/conf.py:
Before committing changes with new or modified functions:
Verify docstring completeness:
Build documentation locally:
Check for warnings in build output
Preview the generated HTML to ensure proper rendering
version: 2
build:
os: ubuntu-22.04
tools:
python: "3.12"
jobs:
pre_build:
- sphinx-apidoc -f -o docs/source src/sempy_labs/
sphinx:
configuration: docs/source/conf.py
python:
install:
- requirements: docs/requirements.txt@log
def list_workspaces(
capacity: Optional[str | UUID] = None,
workspace_state: Optional[str] = None,
) -> pd.DataFrame:
"""
Lists workspaces for the organization.
This is a wrapper function for the following API: `Workspaces - List Workspaces <https://learn.microsoft.com/rest/api/fabric/admin/workspaces/list-workspaces>`_.
Service Principal Authentication is supported (see `here <https://github.com/microsoft/semantic-link-labs/blob/main/notebooks/Service%20Principal.ipynb>`_ for examples).
Parameters
----------
capacity : str | uuid.UUID, default=None
Returns only the workspaces in the specified Capacity.
workspace_state : str, default=None
Return only the workspace with the requested state.
You can find the possible states in `Workspace States <https://learn.microsoft.com/rest/api/fabric/admin/workspaces/list-workspaces?tabs=HTTP#workspacestate>`_.
Returns
-------
pandas.DataFrame
A pandas dataframe showing a list of workspaces for the organization.
Columns include: 'Id', 'Name', 'State', 'Type', 'Capacity Id'.
Raises
------
FabricHTTPException
If the API request fails.
Examples
--------
>>> import sempy_labs as labs
>>> df = labs.list_workspaces()
>>> df = labs.list_workspaces(capacity="My Capacity")
"""
pass# Simple parameter
item_type : str
The type of item to filter by.
# Parameter with default
item_type : str, default=None
The type of item to filter by. If None, returns all types.
# Union type parameter
workspace : str | uuid.UUID, default=None
The Fabric workspace name or ID.
Defaults to None which resolves to the workspace of the attached lakehouse
or if no lakehouse attached, resolves to the workspace of the notebook.
# Boolean parameter
readonly : bool, default=True
If True, opens in read-only mode. If False, allows modifications.
# List parameter
columns : List[str], default=None
A list of column names to include. If None, includes all columns."""
This is a wrapper function for the following API: `Items - List Items <https://learn.microsoft.com/rest/api/fabric/core/items/list-items>`_.
""""""
Service Principal Authentication is supported (see `here <https://github.com/microsoft/semantic-link-labs/blob/main/notebooks/Service%20Principal.ipynb>`_ for examples).
"""# Function signature
def my_func(workspace: Optional[str | UUID] = None) -> pd.DataFrame:
# Docstring should match
"""
Parameters
----------
workspace : str | uuid.UUID, default=None
...
Returns
-------
pandas.DataFrame
...
"""`Link Text <https://example.com>`_# Extensions
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.napoleon',
'sphinx.ext.intersphinx',
]
# Napoleon settings for numpydoc
napoleon_numpy_docstring = True
# Mock imports for packages not available during build
autodoc_mock_imports = [
'delta', 'synapse', 'jwt', 'semantic-link-sempy',
'pyspark', 'anywidget', 'sqlglot'
]cd docs
make html 2>&1 | grep -i warningcd docs
make clean
make html# Generate docs for specific module
sphinx-apidoc -f -o source ../src/sempy_labs/admin/
make html