Project Name
OCSF-Pydantic
Description
Pydantic validated models for OCSF schema events & objects
Installation
pip install ocsf-pydantic
Usage
all event & object models are available via ocsf
from ocsf.events.application.api import Api
apievent: dict = ... # an OCSF normalized dict
APIActivity(**apievent)
License
This project is licensed under the MIT License.
Metadata
Release files for ocsf-pydantic 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ocsf_pydantic-0.0.6.tar.gz | 60.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ocsf_pydantic-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 177.3 kB
Release files / ocsf_pydantic-0.0.6.tar.gz
| Download URL | ocsf_pydantic-0.0.6.tar.gz |
|---|---|
| Size | 60.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.13.0
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Release files / ocsf_pydantic-0.0.6-py3-none-any.whl
| Download URL | ocsf_pydantic-0.0.6-py3-none-any.whl |
|---|---|
| Size | 116.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.13.0
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