Pydantic Dynamic Models
This project provides a flexible and powerful way to create dynamic Pydantic models based on template strings. It allows you to define model structures on-the-fly, with support for field descriptions, substitutions, and easy text generation from model instances.
Features
- Create Pydantic models dynamically from template strings
- Support for field descriptions and type annotations
- Flexible substitution system for template customization
- Generate text from model instances
- Type hinting and validation through Pydantic
Installation
To use this project, make sure you have Pydantic installed:
pip install template-models
Release files for template-models 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| template_models-0.2.1.tar.gz | 4.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| template_models-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.9 kB
Release files / template_models-0.2.1.tar.gz
| Download URL | template_models-0.2.1.tar.gz |
|---|---|
| Size | 4.0 kB |
| Tags | Source |
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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 |
poetry/1.7.1 CPython/3.11.9 Darwin/23.0.0
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Release files / template_models-0.2.1-py3-none-any.whl
| Download URL | template_models-0.2.1-py3-none-any.whl |
|---|---|
| Size | 4.9 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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.11.9 Darwin/23.0.0
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