Dataclasses Avro Schema Generator
Generate Avro Schemas from a Python class
Requirements:
python 3.7+
Installation
pip install dataclasses-avroschema
Doocumentaion
https://marcosschroh.github.io/dataclasses-avroschema/
Usage:
from dataclasses_avroschema.schema_generator import SchemaGenerator
class User:
"An User"
name: str
age: int
pets: typing.List[str]
accounts: typing.Dict[str, int]
favorite_colors: typing.Tuple[str] = ("BLUE", "YELLOW", "GREEN")
country: str = "Argentina"
address: str = None
SchemaGenerator(User).avro_schema()
'{
"type": "record",
"name": "User",
"doc": "An User",
"fields": [
{"name": "name", "type": "string"},
{"name": "age", "type": "int"},
{"name": "pets", "type": "array", "items": "string"},
{"name": "accounts", "type": "map", "values": "int"},
{"name": "favorite_colors", "type": "enum", "symbols": ["BLUE", "YELLOW", "GREEN"]},
{"name": "country", "type": ["string", "null"], "default": "Argentina"},
{"name": "address", "type": ["null", "string"], "default": "null"}
]
}'
Features:
- Primitive types: int, long, float, boolean, string and null support
- Complex types: enum, array, map, unions and records support
- Logical Types: date, time, datetime, uuid support
- Schema relations (oneToOne, oneToMany)
- Recursive Schemas
- Generate Avro Schemas from
faust.Record
Metadata
Release files for dataclasses-avroschema 0.7.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| dataclasses-avroschema-0.7.4.tar.gz | 10.8 kB | Without provenance | Details |
Release files / dataclasses-avroschema-0.7.4.tar.gz
| Download URL | dataclasses-avroschema-0.7.4.tar.gz |
|---|---|
| Size | 10.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
679c8e4ccfe2c5c01f4170c0e397bbc72ac0fb8e4493972a1cf36273e8d7172b
|
|
BLAKE2b-256 checksum How to use checksums |
7f7e59756856c3d6c7ac2ae894b4a13175cbd4eedfd4db04cf60d0aca45f4b29
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.0
|
Security for dataclasses-avroschema 0.7.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.