# Converting data

The goal of the data conversion stage is to transform source data downloaded from the infrastructure of the provider into the data model of DBnomics.

## Convert script

Example of `convert.py` script:

```python
#!/usr/bin/env python3

from dbnomics_toolbox.fetcher_utils.cli_utils.convert_cli import ConvertCLI

import abc_fetcher
from abc_fetcher.constants import PROVIDER_METADATA
from abc_fetcher.converter import Converter


def main() -> None:
    cli = ConvertCLI(package_name=abc_fetcher.__name__)
    cli.start()
    converter = Converter(
        **cli.args.as_converter_kwargs,
        provider_metadata=PROVIDER_METADATA,
    )
    converter.start()
    cli.finalize(converter)


if __name__ == "__main__":
    main()
```

## Converter

## DatasetConverter

### Setting dimensions upfront

(upfront)

### Setting dimensions dynamically

(while converting series)

## CategoryTreeConverter

## Run the convert script

```bash
python convert.py source-data converted-data
```

## SDMX