No project description provided
Project description
Dataclasses Avro Schema CLI
Command line interface from dataclasses-avroschema to work with avsc resources
Requirements
python 3.10+
Documentation
https://marcosschroh.github.io/dc-avro/
Usage
You can validate one avro schema either from a local file or url:
Assuming that we have a local file schema.avsc that contains an avro schema, we can check whether it is valid
dc-avro validate-schema --path schema.avsc
Valid schema!! 👍
{
'type': 'record',
'name': 'UserAdvance',
'fields': [
{'name': 'name', 'type': 'string'},
{'name': 'age', 'type': 'long'},
{'name': 'pets', 'type': {'type': 'array', 'items': 'string', 'name': 'pet'}},
{'name': 'accounts', 'type': {'type': 'map', 'values': 'long', 'name': 'account'}},
{'name': 'favorite_colors', 'type': {'type': 'enum', 'name': 'FavoriteColor', 'symbols': ['BLUE', 'YELLOW', 'GREEN']}},
{'name': 'has_car', 'type': 'boolean', 'default': False},
{'name': 'country', 'type': 'string', 'default': 'Argentina'},
{'name': 'address', 'type': ['null', 'string'], 'default': None},
{'name': 'md5', 'type': {'type': 'fixed', 'name': 'md5', 'size': 16}}
]
}
You can validate several .avsc files with lint command
dc-avro lint tests/schemas/example.avsc tests/schemas/example_v2.avsc
👍 Total valid schemas: 2
tests/schemas/example.avsc
tests/schemas/example_v2.avsc
To see all the commands execute dc-avro --help
Usage in pre-commit
Add the following lines to your .pre-commit-config.yaml file to enable avro schemas linting
- repo: https://github.com/marcosschroh/dc-avro.git
rev: 0.7.0
hooks:
- id: lint-avsc
additional_dependencies: [typing_extensions]
Features
- Validate
schema - Lint
schemas - Generate
modelsfromschemas - Data deserialization with
schema - Data serialization with
schema - View diff between
schemas - Generate fake data from
schema
Development
- Install requirements:
poetry install - Code linting:
./scripts/format - Run tests:
./scripts/test
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dc_avro-0.13.0.tar.gz.
File metadata
- Download URL: dc_avro-0.13.0.tar.gz
- Upload date:
- Size: 6.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.2.1 CPython/3.13.7 Linux/6.11.0-1018-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
985c6c089cdf4201a31240642312c7e1aebf553890eaf7689cda3c5f305c90e1
|
|
| MD5 |
46ec723e457e45ef766afe2fb36a5ae5
|
|
| BLAKE2b-256 |
b36196941cc1e2a4e875cf5c08c2ab9da7d3e4209cb08b7b8f0ef3bd6427f3c5
|
File details
Details for the file dc_avro-0.13.0-py3-none-any.whl.
File metadata
- Download URL: dc_avro-0.13.0-py3-none-any.whl
- Upload date:
- Size: 8.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.2.1 CPython/3.13.7 Linux/6.11.0-1018-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2883cc563d631004296b0581deee635286b0f0c30e67f9a8d2a13f000ce916e5
|
|
| MD5 |
d7d5f3f3d5e1dd84e0db6a752aa4d067
|
|
| BLAKE2b-256 |
0f27e566a63a03fec8be15e29c4172f8eb428f29d80bf9b2d672a12ea3c37d7a
|