msaDocModels - MSA Document Pydantic Models and Schemas, used to store Parser, NLP, NLU and AI results for processed documents
Optimized for use with FastAPI/Pydantic.
Documentation: msaDocModels Documentation (https://msaDocModels.u2d.ai/)
Features
- Schema/Models for Document Understanding Result Data: sdu.
- Schema/Models for General Document Handling Data: wdc.
- Schema/Models for Workflow Definition and Processing Data: wfl.
- Schema/Models for Work With Text: spk.
- API Message class: msg, allows generic API JSON message creation with capabilities to re-create original datatypes and class instances.
Main Dependencies
- msaUtils >= 0.0.2
- Pydantic
License Agreement
msaDocModelsis based onMITopen source and free to use, it is free for commercial use, but please show/list the copyright information about msaDocModels somewhere.
How to create the documentation
We use mkdocs and mkdocsstring. The code reference and nav entry get's created virtually by the triggered python script /docs/gen_ref_pages.py while mkdocs serve or build is executed.
Requirements Install for the PDF creation option:
PDF Export is using mainly weasyprint, if you get some errors here pls. check there documentation. Installation is part of the msaDocModels, so this should be fine.
We can now test and view our documentation using:
mkdocs serve
Build static Site:
mkdocs build
Build and Publish
Build:
python setup.py sdist
Publish to pypi:
twine upload dist/*
Metadata
Release files for msaDocModels 0.0.114
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| msadocmodels-0.0.114.tar.gz | 39.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| msadocmodels-0.0.114-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 80.9 kB
Release files / msadocmodels-0.0.114.tar.gz
| Download URL | msadocmodels-0.0.114.tar.gz |
|---|---|
| Size | 39.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
636a1f4bae6c3803217652910850b401d6776ef5534bfebe43e31f95128206bc
|
|
BLAKE2b-256 checksum How to use checksums |
1baed6817e75dd5a658a163337d8899198758420f58ab1f68c22d0aaff4ef289
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.0 CPython/3.9.18 Linux/6.2.0-1015-azure
|
Release files / msadocmodels-0.0.114-py3-none-any.whl
| Download URL | msadocmodels-0.0.114-py3-none-any.whl |
|---|---|
| Size | 41.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
84c0d894d319c3a16c6121ad1704ba1a14a0fa9daa7cec91a065016103f66ccf
|
|
BLAKE2b-256 checksum How to use checksums |
7068e0a71f7c9c6ae0feaab85fb66f2c1709b7860931a24a5fd68a89abe36ae2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.0 CPython/3.9.18 Linux/6.2.0-1015-azure
|