Semantic-model
All data about data in one model. The single source of truth about data in one model.
Install
pip install semantic-model
Create initial sm model
python3 -m semantic_model -mode one_to_one -input example.json > sm_model.json
Run sm model
python3 -m semantic_model -input example.json -sm sm_model.json
Display sm model
sudo docker run -i attumm/dsm_png:latest < sm_model.json > output.png
Extend
Add to the functionality by creating your own custom formatters. And adding them into semantic-model.
from semantic_model import POSTFORMAT
def strip(item, **kwargs):
return item.strip()
POSTFORMAT["strip"] = strip
1 maintainer
Metadata
1 maintainer
Release files for semantic-model 3.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| semantic-model-3.0.0.tar.gz | 14.9 kB | Without provenance | Details for semantic-model-3.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| semantic_model-3.0.0-py3-none-any.whl | Python 3 | none | any | Details for semantic_model-3.0.0-py3-none-any.whl |
Total release size: 24.8 kB
Release files / semantic-model-3.0.0.tar.gz
| Download URL | semantic-model-3.0.0.tar.gz |
|---|---|
| Size | 14.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.11.3
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Release files / semantic_model-3.0.0-py3-none-any.whl
| Download URL | semantic_model-3.0.0-py3-none-any.whl |
|---|---|
| Size | 9.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.11.3
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Security for semantic-model 3.0.0
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