| Name | mfd-model JSON |
| Version |
0.9.0
JSON |
| download |
| home_page | None |
| Summary | Module for handling models used across multiple MFDs (mostly Pydantic) |
| upload_time | 2025-07-10 12:30:44 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <3.14,>=3.10 |
| license | None |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
mfd-common-libs
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
> [!IMPORTANT]
> This project is under development. All source code and features on the main branch are for the purpose of testing or evaluation and not production ready.
# MFD Model
Module for handling Pydantic models used across multiple MFDs stored in subpackages.
The library utilizes the [project.optional-dependencies] section in pyproject.toml to specify optional dependencies for each subpackage
## Subpackages
Every subpackage can be installed separately by specifying the package name in square brackets after the main package name.
Structure:
```
├───<subpackage_name>
│ │ models.py
│ │ __init__.py
│ │ __version__.py
```
### config (used in pytest-mfd-config)
This subpackage contains models for configuration files. They are used in `pytest-mfd-config` to define configuration files and their structure.
### nvm
This subpackage contains models related with NVMs like `EETrack`, `Release`, ...\
They are used to handle upload / download / search of NVMs stored in NVMManager.
### artifacts_manager
This subpackage contains models for tested artifacts.
## Installation
To install 'config' models only use:
```bash
pip install mfd-model[config]
```
## How to add another subpackage?
1. Create a new subpackage directory with the name of the subpackage.
2. Add `models.py` file with models definitions.
3. Add `__init__.py` file.
4. Add `__version__.py` file with version definition.
5. Update `pyproject.toml`:
- add the requirements in [project.optional-dependencies] section, e.g.:
```
data_processor = ["pydantic >= 2.0, < 3", "numpy >= 1.21.0"] # Example dependencies
```
## OS supported:
* OS Independent
## Issue reporting
If you encounter any bugs or have suggestions for improvements, you're welcome to contribute directly or open an issue [here](https://github.com/intel/mfd-model/issues).
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"description": "> [!IMPORTANT] \n> This project is under development. All source code and features on the main branch are for the purpose of testing or evaluation and not production ready.\n\n# MFD Model\nModule for handling Pydantic models used across multiple MFDs stored in subpackages.\nThe library utilizes the [project.optional-dependencies] section in pyproject.toml to specify optional dependencies for each subpackage\n\n## Subpackages\nEvery subpackage can be installed separately by specifying the package name in square brackets after the main package name.\nStructure:\n```\n\u251c\u2500\u2500\u2500<subpackage_name>\n\u2502 \u2502 models.py\n\u2502 \u2502 __init__.py\n\u2502 \u2502 __version__.py\n```\n\n### config (used in pytest-mfd-config)\nThis subpackage contains models for configuration files. They are used in `pytest-mfd-config` to define configuration files and their structure.\n\n### nvm\nThis subpackage contains models related with NVMs like `EETrack`, `Release`, ...\\\nThey are used to handle upload / download / search of NVMs stored in NVMManager.\n\n### artifacts_manager\nThis subpackage contains models for tested artifacts.\n\n## Installation\nTo install 'config' models only use:\n```bash\npip install mfd-model[config]\n```\n\n## How to add another subpackage? \n1. Create a new subpackage directory with the name of the subpackage.\n2. Add `models.py` file with models definitions.\n3. Add `__init__.py` file.\n4. Add `__version__.py` file with version definition.\n5. Update `pyproject.toml`:\n - add the requirements in [project.optional-dependencies] section, e.g.:\n ```\n data_processor = [\"pydantic >= 2.0, < 3\", \"numpy >= 1.21.0\"] # Example dependencies\n ```\n\n## OS supported:\n* OS Independent\n\n## Issue reporting\n\nIf you encounter any bugs or have suggestions for improvements, you're welcome to contribute directly or open an issue [here](https://github.com/intel/mfd-model/issues).\n",
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