https://github.com/ameygaikwad/csv-to-json-converter-using-python

Welcome to CSV-to-JSON-Converter-Using-Python, this Python script converts CSV (Comma-Separated Values) files to JSON (JavaScript Object Notation) files. It's designed for basic conversion and assumes well-formatted CSV files.
https://github.com/ameygaikwad/csv-to-json-converter-using-python

csv csv-converter csv-parser json json-converter json-schema python

Last synced: 13 days ago
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Welcome to CSV-to-JSON-Converter-Using-Python, this Python script converts CSV (Comma-Separated Values) files to JSON (JavaScript Object Notation) files. It's designed for basic conversion and assumes well-formatted CSV files.

• Host: GitHub
• URL: https://github.com/ameygaikwad/csv-to-json-converter-using-python
• Owner: AmeyGaikwad
• Created: 2024-05-31T10:31:22.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-18T15:04:56.000Z (7 months ago)
• Last Synced: 2024-10-31T03:42:14.025Z (2 months ago)
• Topics: csv, csv-converter, csv-parser, json, json-converter, json-schema, python
• Language: Python
• Homepage:
• Size: 80.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
# CSV-to-JSON-Converter-Using-Python

Welcome to CSV-to-JSON-Converter-Using-Python, this Python script converts CSV (Comma-Separated Values) files to JSON (JavaScript Object Notation) files. It's designed for basic conversion and assumes well-formatted CSV files.

**Project Overview**

CSV-to-JSON-Converter-Using-Python enables you to convert CSV files, commonly used for tabular data, into JSON format. This conversion allows for better data management, analysis, and sharing.

**Features**

1. Exception Handling: CSV-to-JSON-Converter-Using-Python incorporates robust exception handling to ensure smooth data conversion.

2. Converts CSV data into a JSON object structure.

3. Handles basic CSV formatting, including headers as the first row.

4. Outputs the converted JSON data to a new file.

**How to Use** 

1. Create a virtal enviornment and activate it.

   ```js

    python -m venv pr-venv

    ```

2. Install all the prereqesites from requirements.txt.

   ```js

    pip install -r .\requirements.txt

    ```

3. Edit .env file as per your requirement / Declare these enviornment variables as follows:

    (Windows)

    ```js

    $Env:SRC_BASE_DIR = 'data/retail_db'

    $Env:TGT_BASE_DIR = 'data/retail_db_json'

    ```

4. Run app.py as per requirements.

**Use Case**

This would convert all the csv files present in data/retail_db to json.

```js

    python app.py

```

To convert files specefic to dataset.

```js

    python app.py '[\"orders\" ,\"depatment\", \"order_items\"]'

```

--This would convert files of only orders and order_items dataset to JSON files as there is a typo in departments hence proving exception handling.