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docs: enhance main interface and mixin documentation#59

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docs: enhance main interface and mixin documentation#59
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@ctsilva ctsilva commented May 26, 2025

Summary

  • Add comprehensive module-level documentation to __init__.py explaining UrbanMapper's purpose, features, and usage patterns
  • Enhance UrbanMapper main class with detailed docstring including complete attribute documentation and multiple usage examples
  • Add comprehensive method documentation for __init__() and __getattr__() with detailed parameter explanations
  • Document all mixin classes with detailed descriptions, examples, and cross-references
  • Enhance configuration module documentation with function docs and structure explanations
  • Add .DS_Store to .gitignore for improved macOS compatibility

Test plan

  • Verify all docstrings render correctly in IDE tooltips and documentation generators
  • Check that examples in docstrings are syntactically correct and runnable
  • Confirm documentation follows Google-style docstring format consistently
  • Validate that cross-references and See Also sections link correctly

🤖 Generated with Claude Code


📚 Documentation preview 📚: https://UrbanMapper--59.org.readthedocs.build/en/59/

- Add detailed module-level docstring to __init__.py explaining UrbanMapper's purpose and features
- Enhance UrbanMapper class with comprehensive docstring including usage examples and attribute documentation
- Add detailed method docstrings for __init__() and __getattr__() with parameter explanations
- Document all mixin classes with detailed descriptions and examples:
  - LoaderMixin: Data loading functionality integration
  - EnricherMixin: Data enrichment capabilities
  - VisualMixin: Visualization tools integration
  - PipelineGeneratorMixin: AI-powered pipeline generation
  - UrbanPipelineMixin: Pipeline execution and orchestration
- Enhance config module documentation with comprehensive function and structure docs
- Add .DS_Store to .gitignore for macOS compatibility
- Follow Google-style docstrings with examples and cross-references throughout

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
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Hi, @ctsilva! Thank you for this PR. Unfortunately, I will close the PR for the time being because the content does not significantly contribute to the project's value. To make things easier to comprehend, I detailed the reasons for everything directly based on the adjustments themselves below.

The only adjustment that may be nice to keep though is the docstrings on the UrbanMapper main class. Feel free to file a new PR for this or dramatically change the current one, but a new one isn't a big deal; I suppose it would be easier.

Additionally, as for Add .DS_Store to .gitignore for improved macOS compatibility. I believe that depending on your IDE it is automatically handled, on Jetbrains it seems to be, maybe not on VSCODE. Feel free to include in the new / current PR if you want, that's not bad handling multiple workflows indeed 💪

Cheers

Comment on lines +1 to +35
"""
UrbanMapper: A comprehensive geospatial analysis library for urban data processing.

UrbanMapper provides a modular, extensible framework for loading, enriching, filtering,
and visualizing urban geospatial data. The library supports various data formats and
offers powerful tools for spatial analysis, data pipeline creation, and interactive
visualization.

Key Features:
- Flexible data loading from CSV, Shapefile, and Parquet formats
- Rich geospatial enrichment using OpenStreetMap and other urban layers
- Advanced filtering and imputation capabilities
- Interactive and static visualization tools
- AI-powered pipeline generation
- Modular architecture with factory patterns

Main Classes:
UrbanMapper: Primary interface providing access to all functionality
LoaderBase: Abstract base for data loaders
EnricherBase: Abstract base for data enrichment
VisualiserBase: Abstract base for visualization
UrbanPipeline: Pipeline orchestration and execution

Example:
>>> from urban_mapper import UrbanMapper
>>> mapper = UrbanMapper(debug='MID')
>>> data = mapper.loader.from_csv('restaurants.csv')
>>> enriched = mapper.enricher.single_aggregator(data, 'osm_features')
>>> mapper.visualiser.interactive(enriched)

See Also:
Documentation: https://urban-mapper.readthedocs.io/
Examples: examples/ directory in the repository
"""

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  1. There is no need for such a thing in a __init__.py file; nobody looks at them anyway, and it is not usual. I guess Claude does so because somehow it is "documenting an entire project", but "entire" does not mean every single files. Our documentation and each module's sub-docstring are sufficient at the moment. If you believe not, propose an improvement but right in the module themselves rather than __init__.py or anything of the like.

  2. AFAIR, debug is DEBUG_LOW, DEBUG_MID, and DEBUG_HIGH. At the moment line 26 says otherwise. Happy to propose removing the prefix DEBUG_, but this will require modifying all instances of such parameter used in examples and so on.

Comment on lines +5 to +33
"""
Mixin providing access to data loading functionality through the UrbanMapper interface.

This class extends LoaderFactory to provide a seamless integration point for
data loading capabilities within the UrbanMapper ecosystem. It enables users
to load data from various formats including CSV, Shapefile, and Parquet files
through a fluent interface.

The mixin pattern allows UrbanMapper to compose functionality from multiple
specialized components while maintaining a clean, unified API.

Inherits all methods from LoaderFactory, including:
- from_csv(): Load data from CSV files
- from_shapefile(): Load data from Shapefiles
- from_parquet(): Load data from Parquet files
- with_coordinate_reference_system(): Set CRS for loaded data

Example:
>>> mapper = UrbanMapper()
>>> # Access loader through the mixin
>>> data = mapper.loader.from_csv('restaurants.csv')
>>> # Chain operations using fluent interface
>>> data = mapper.loader.from_csv('data.csv').with_coordinate_reference_system('EPSG:3857')

See Also:
LoaderFactory: The underlying factory class providing loader implementations
LoaderBase: Abstract base class for all loaders
"""

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No need as this mixin redirects straight to the inner module. There is no code in this is just an architecture-based compatibility.

PipelineGeneratorBase: Abstract base class for all generators
UrbanPipeline: Pipeline execution and orchestration
"""

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No need as this mixin redirects straight to the inner module. There is no code in this is just an architecture-based compatibility.

Comment on lines +5 to +39
"""
Mixin providing access to pipeline execution functionality through the UrbanMapper interface.

This class extends UrbanPipeline to provide seamless integration of pipeline
orchestration and execution capabilities within the UrbanMapper ecosystem.
It enables users to create, configure, and execute complex data processing
workflows that combine multiple UrbanMapper components.

The mixin pattern allows UrbanMapper to compose pipeline functionality alongside
other components while maintaining a unified API for workflow management.

Inherits all methods from UrbanPipeline, including:
- add_step(): Add processing steps to the pipeline
- run(): Execute the complete pipeline
- to_json(): Serialize pipeline configuration
- from_json(): Load pipeline from configuration
- validate(): Validate pipeline configuration

Example:
>>> mapper = UrbanMapper()
>>> # Create a new pipeline
>>> pipeline = mapper.urban_pipeline
>>> # Add processing steps
>>> pipeline.add_step('loader', 'csv', {'file_path': 'data.csv'})
>>> pipeline.add_step('enricher', 'osm_features', {'aggregator': 'count'})
>>> pipeline.add_step('visualiser', 'interactive', {'color_column': 'osm_count'})
>>> # Execute the pipeline
>>> results = pipeline.run()

See Also:
UrbanPipeline: The underlying pipeline class providing execution logic
PipelineGenerator: AI-powered pipeline creation
UrbanMapper: Main interface for accessing all components
"""

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No need as this mixin redirects straight to the inner module. There is no code in this is just an architecture-based compatibility.

Comment on lines +5 to +36
"""
Mixin providing access to visualization functionality through the UrbanMapper interface.

This class extends VisualiserFactory to provide seamless integration of visualization
capabilities within the UrbanMapper ecosystem. It enables users to create both
interactive and static visualizations of their geospatial data.

The mixin pattern allows UrbanMapper to compose visualization functionality alongside
other components while maintaining a clean, unified API for creating maps and charts.

Inherits all methods from VisualiserFactory, including:
- interactive(): Create interactive maps with folium
- static(): Create static maps with matplotlib
- preview(): Preview available visualization options

Example:
>>> mapper = UrbanMapper()
>>> # Load and enrich some data
>>> data = mapper.loader.from_csv('restaurants.csv')
>>> enriched = mapper.enricher.single_aggregator(data, 'osm_features')
>>> # Create an interactive visualization
>>> mapper.visualiser.interactive(enriched, color_column='osm_features_count')
>>> # Or create a static plot
>>> mapper.visualiser.static(enriched, figsize=(12, 8))

See Also:
VisualiserFactory: The underlying factory class providing visualizer implementations
VisualiserBase: Abstract base class for all visualizers
InteractiveVisualiser: Interactive mapping with folium
StaticVisualiser: Static plotting with matplotlib
"""

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No need as this mixin redirects straight to the inner module. There is no code in this is just an architecture-based compatibility.

Comment on lines +10 to +50
"""
Main interface for the UrbanMapper geospatial analysis library.

This class provides a unified entry point for accessing all UrbanMapper functionality
through dynamic mixins, including data loading, enrichment, visualization, and pipeline
generation. The class uses a lazy loading pattern to instantiate mixins only when accessed.

The UrbanMapper class automatically configures logging levels and coordinate reference
systems, and provides seamless access to all library components through attribute access.

Attributes:
coordinate_reference_system (str): The CRS used for all geospatial operations.
loader (LoaderMixin): Access to data loading functionality.
enricher (EnricherMixin): Access to data enrichment tools.
visualiser (VisualMixin): Access to visualization capabilities.
pipeline_generator (PipelineGeneratorMixin): Access to AI-powered pipeline generation.
auctus (AuctusSearchMixin): Access to external data discovery.
table_vis (TableVisMixin): Access to interactive table visualization.
urban_pipeline (UrbanPipelineMixin): Access to pipeline execution.

Example:
Basic usage with default settings:

>>> mapper = UrbanMapper()
>>> data = mapper.loader.from_csv('restaurants.csv')
>>> enriched = mapper.enricher.single_aggregator(data, 'osm_features')
>>> mapper.visualiser.interactive(enriched)

With custom CRS and debug logging:

>>> mapper = UrbanMapper(
... coordinate_reference_system='EPSG:3857',
... debug='HIGH'
... )
>>> # All operations will use Web Mercator projection
>>> # and show detailed debug information

Note:
Mixins are instantiated lazily - they are only created when first accessed.
This improves startup performance and memory usage.
"""
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That I would accept! I am not sure why I did not include it during #43!!! However, please ensure that the examples are correct; for example, HIGH for debug is incorrect here. The parameters section is also missing (i.e., the docstring occurs on the class, not on the __init__).

I would like to suggest that you file a new pull request for this modification rather than this one, as there are so many things that are not to include. If you feel comfortable making your own rebase, go for it; otherwise, simply open a new PR, it's no big deal.

Comment on lines +55 to +81
"""
Initialize the UrbanMapper with configuration settings.

Args:
coordinate_reference_system: The coordinate reference system to use
for all geospatial operations. Defaults to EPSG:4326 (WGS84).
Common alternatives include EPSG:3857 (Web Mercator) for web
mapping applications.
debug: Debug logging level. Options are:
- None: Only critical messages (default)
- 'LOW': Basic debug information with 🔍 icon
- 'MID': Moderate debug information with ☂️ icon
- 'HIGH': Detailed debug information with 🔬 icon

Raises:
ValueError: If debug level is not None, 'LOW', 'MID', or 'HIGH'.

Example:
>>> # Default configuration
>>> mapper = UrbanMapper()
>>>
>>> # Custom CRS for projected coordinates
>>> mapper = UrbanMapper(coordinate_reference_system='EPSG:3857')
>>>
>>> # Enable debug logging
>>> mapper = UrbanMapper(debug='MID')
"""
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See previous comment.

Comment on lines +113 to +143
"""
Dynamically access mixin functionality through attribute access.

This method implements lazy loading of mixins - they are only instantiated
when first accessed. Subsequent accesses return the cached instance.

Args:
name: The name of the mixin to access. Available mixins include:
- loader: Data loading functionality (LoaderMixin)
- enricher: Data enrichment tools (EnricherMixin)
- visualiser: Visualization capabilities (VisualMixin)
- pipeline_generator: AI pipeline generation (PipelineGeneratorMixin)
- auctus: External data discovery (AuctusSearchMixin)
- table_vis: Interactive tables (TableVisMixin)
- urban_pipeline: Pipeline execution (UrbanPipelineMixin)

Returns:
LazyMixin: A proxy object that provides access to the mixin functionality.

Raises:
AttributeError: If the requested mixin name is not configured in the
system. Check config.yaml for available mixins.

Example:
>>> mapper = UrbanMapper()
>>> # First access creates the mixin
>>> loader = mapper.loader
>>> # Subsequent accesses return the same instance
>>> same_loader = mapper.loader
>>> assert loader is same_loader
"""
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No need to doctoring this. Not high value, adds characters for not much.

@simonprovost
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Not planned.

@simonprovost simonprovost deleted the docs/enhance-main-interface-documentation branch July 8, 2025 09:23
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