https://github.com/dmitriiweb/data2model
Python library and CLI tool for generating different Python data classes from data.
https://github.com/dmitriiweb/data2model
Last synced: 11 months ago
JSON representation
Python library and CLI tool for generating different Python data classes from data.
- Host: GitHub
- URL: https://github.com/dmitriiweb/data2model
- Owner: dmitriiweb
- License: mit
- Created: 2022-01-22T14:49:36.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-02-13T20:24:24.000Z (over 4 years ago)
- Last Synced: 2025-02-11T18:11:17.561Z (over 1 year ago)
- Language: Python
- Homepage:
- Size: 478 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# data2model
[](https://badge.fury.io/py/data2model)
Python library and CLI tool for generating different Python data classes from data.
Supported data formats:
- CSV
Supported data classes:
- [dataclasses](https://docs.python.org/3.8/library/dataclasses.html)
## Requirements
- Python 3.8+
## Installation
```shell
pip install data2model
```
## Usage
### As library
```python
import asyncio
import pathlib
from data_to_model import ModelGenerator
files = [
{"input": pathlib.Path("example.csv"), "output": pathlib.Path("example.py")},
]
async def model_generator(input_file: pathlib.Path, output_file: pathlib.Path):
mg = ModelGenerator(input_file)
model = await mg.get_model()
await model.save(output_file)
async def main():
tasks = [model_generator(i["input"], i["output"]) for i in files]
await asyncio.gather(*tasks)
if __name__ == "__main__":
asyncio.run(main())
```
### As CLI
#### from single file
```shell
$ cat data.csv
col1,col2
1,2
,2.0
$ data2model file -if data.csv -of data.py
$ cat data.py
# This file was generated by data_to_model.
from dataclasses import dataclass
from typing import Any, Dict, Optional, Union
@dataclass
class Data:
col1: Optional[int]
col2: Union[float, int]
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> "Data":
col1 = data["col1"]
col2 = data["col2"]
return cls(col1=col1, col2=col2)
def to_dict(self) -> Dict[str, Any]:
return {"col1": self.col1, "col2": self.col2}
```
#### from directory
```shell
$ data2model folder -if data -of models
$ ls data
data1.csv data2.csv
$ ls models
data1.py data2.py
```