https://github.com/lucidfrontier45/pydanticio

Tiny IO utility library for Python with Pydantic inspired by Serdeio of Rust
https://github.com/lucidfrontier45/pydanticio

file file-reading file-writing input-output io pydantic python utility

Last synced: about 2 hours ago
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Tiny IO utility library for Python with Pydantic inspired by Serdeio of Rust

• Host: GitHub
• URL: https://github.com/lucidfrontier45/pydanticio
• Owner: lucidfrontier45
• License: mit
• Created: 2024-06-28T10:07:51.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-06-30T11:35:45.000Z (4 months ago)
• Last Synced: 2024-10-07T03:18:13.927Z (about 1 month ago)
• Topics: file, file-reading, file-writing, input-output, io, pydantic, python, utility
• Language: Python
• Homepage:
• Size: 26.4 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# PydanticIO

PydanticIO (pronounce pidantisio) is a tiny file IO utility library for Python powered by Pydantic.

This library is a port of the Rust library [SerdeIO](https://github.com/lucidfrontier45/serdeio)

# Install

```sh

# standard distribution

pip install pydanticio

# with YAML backend

pip install pydanticio[yaml]

```

# Supported Formats

- CSV by stdlib `csv` module

- JSON by stdlib `json` module

- JSON Lines by stdlib `json` module

- YAML by `pyyaml` library, it is an optional feature and you need enable it manually at when you install it.

# Usage

- `read_record_from_reader` is used to read a type `T` which is a subclass of `pydantic.BaseModel` from `TextIO`. Data format must be specified by `DataFormat` literals.

- `read_records_from_reader` always tries to deserialize the data as `list[T]`.

- `read_record_from_file` and `read_records_from_file` accepts a `Path`. Data format is automatically determined by file extension.

- `write_*` functions follow the same rules as `read_*`.

Note that some data format like CSV and JSON Lines support only reading records `list[T]`.

# Examples

```py

from pydantic import BaseModel

from pydanticio import read_records_from_file, write_records_to_file

class User(BaseModel):

    name: str

    age: int

users = read_records_from_file("users.csv", User)

write_records_to_file("users.json", users)

```