download_script_for_urban_pennsyvania_import

[Avantika-Singh16]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @Avantika-Singh16, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request delivers a new Python script aimed at streamlining the acquisition and initial preparation of public datasets pertinent to urban Pennsylvania. The script efficiently connects to multiple API sources, manages data retrieval with pagination, and performs essential cleaning steps like column standardization and coordinate extraction before saving the processed information into CSV files. This significantly simplifies the workflow for integrating these statistical variables.

Highlights

• New Data Download Script: Introduced a new Python script, common-download_script.py, specifically designed for importing urban Pennsylvania datasets.
• Automated Data Acquisition: The script automates the process of fetching data from six distinct API endpoints on data.pa.gov, handling pagination to retrieve all available records.
• Data Processing and Cleaning: Includes robust data processing capabilities such as dynamic column renaming based on predefined mappings, and specialized handling for geographical coordinate data (parsing both list and dictionary formats).
• Error Handling and Logging: Incorporates error handling for API requests and general exceptions, along with informative logging to track the download and processing status of each dataset.

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[gemini-code-assist]

Code Review

This pull request introduces a new script to download and process several datasets from data.pa.gov. The script is well-structured, using configurations for different datasets and a general processing function. My review focuses on improving robustness, maintainability, and adherence to Python best practices. Key suggestions include making the code safer against unexpected data formats, improving logging for better diagnostics, and enhancing code style for readability.

[gemini-code-assist]

The csv and json modules are imported but not directly used in the script. requests handles JSON decoding with its .json() method, and pandas handles CSV writing with .to_csv(). Removing these unused imports will make the code cleaner.