GIS Dataset Analyzer

A command-line tool that analyzes GIS vector datasets and reports their key metadata characteristics.

Problem Description

Create a Python script that reads a GIS vector dataset file and extracts comprehensive metadata information about it. The tool should accept a file path as input and output a structured report containing the dataset's driver, schema information, spatial bounds, and coordinate reference system details.

Requirements

The script should:

1. Accept a file path to a GIS vector dataset as a command-line argument
2. Open and read the dataset
3. Extract and display the following metadata:
   • The format driver name used by the dataset
   • The geometry type defined in the schema
   • All property field names and their types from the schema
   • The spatial bounding box (minx, miny, maxx, maxy)
   • The coordinate reference system (CRS) information
4. Handle cases where the dataset cannot be opened (file not found, invalid format, etc.)
5. Output the metadata in a clear, human-readable format

Implementation Details

@generates

Create a Python script named analyzer.py that implements this functionality. The script should be executable from the command line as:

python analyzer.py <path_to_dataset>

Expected Output Format

The output should include at minimum:

• Driver name
• Geometry type
• Property schema (field names and types)
• Bounding box coordinates
• CRS information (in any standard format)

Test Cases

• Opening a valid Shapefile and extracting its metadata returns the correct driver name "ESRI Shapefile" @test
• Reading a GeoJSON file's schema correctly identifies all property field names and types @test
• Extracting spatial bounds from a dataset returns a tuple of four coordinate values (minx, miny, maxx, maxy) @test
• Attempting to open a non-existent file handles the error gracefully without crashing @test

Dependencies { .dependencies }

fiona { .dependency }

Provides GIS vector data reading and metadata access capabilities.