📝 Table Decoders

This project provides a framework for decoding tables from JSON and CSV formats into Python dictionaries.

📦 Imports

• csv – for handling CSV files
• json – for parsing JSON data
• collections.defaultdict – for structured storage
• io.StringIO – for handling in-memory CSV streams
• pathlib.Path – for file operations
• pprint.pprint – for pretty-printing output

🏗️ Classes

🔹 TableDecoder (Base Class)

• Maintains a registry of available decoders.
• Defines a factory method (create()) to instantiate decoders dynamically.
• Requires subclasses to implement a decode(text) method.

🔹 JsonTableEncoder (JSON Decoder)

• Parses JSON arrays of dictionaries into a column-based format.

🔹 CsvTableEncoder (CSV Decoder)

• Reads CSV files and converts them into a column-based dictionary.

⚙️ Functions

🔹 load_table(filepath: str) → dict

• Detects file type based on extension.
• Loads and decodes the table using the corresponding decoder.

🔹 main()

• Prints available decoders.
• Loads a sample JSON table and prints the result.

🚀 Usage

Run the script:

python table_encoders.py

This will print the available decoders (['json', 'csv']), load and print the content of table.json in dictionary format:

['json', 'csv']
{'temperature': [2, 8, 12], 'time': [7, 10, 15]}

🌍 Made with ❤️ by

Piotr Lipiński

Contributions, issues, and feedback are welcome! 🤝