cocoindex-claude

To create a data transformation pipeline using the CocoIndex library, we'll need to define a series of steps to convert your input data from CSV format to JSON format. Here's a sample code snippet to get you started:

```python
import cocoindex as ci

# Define the transformation steps
pipeline = ci.Pipeline()

# Step 1: Read the input CSV file
pipeline.add_step(ci.ReadCSV('input.csv'))

# Step 2: Transform the data
pipeline.add_step(ci.Transform(lambda row: {
    'id': row['id'],
    'name': row['name'],
    'value': float(row['value'])
}))

# Step 3: Write the output JSON file
pipeline.add_step(ci.WriteJSON('output.json'))

# Execute the pipeline
pipeline.execute()
```

To set up the pipeline, you'll need to install the CocoIndex library using pip:

```bash
pip install cocoindex
```

Once installed, save the code snippet above in a Python file (e.g., `pipeline.py`) and run it using the command line:

```bash
python pipeline.py
```

This will create a data transformation pipeline that reads the input CSV file, transforms the data, and writes the output JSON file.