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- im Kurs wird die Permutation nur für Greedy-Berechnungen angewandt - die Reihenfolge der Items in der Hauptberechnung bei B&B bleibt wie bei Angaben |
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commands-schema.yaml | ||
config-schema.yaml | ||
README.md |
Models
- In this folder the configuration files for the models of data classes (as
*.yaml
-files) are stored. - These are interpreted by
openapi
to generate the classes for the source code during thebuild
phase of the programme. - Once the models are generated, the app configurations are read at run time and interpreted as these models.
- Generating instead of manually encoding the classes is safer/more stable as it allows for validation.
Folder structure
As per the 3rd point, the yaml
-file/s for the models (schemata)
and the yaml
-file/s for actual configuration values for the app
are to be kept separately.
All models are to be stored in ./models, whereas configuration files are to be stored in ./assets.
Note that the generated python files are not stored in the repository.
When deployed on a server, these are generated as part of the build
-process.
Developer notes
Prerequisites
For the python source code, we currently use:
- Python:
v3.10.*
- Modules:
datamodel-code-generator==0.12.0
(This is all taken care of during the build
process.)
Building the models
To build the models before run time, use the following command + options:
datamodel-codegen
--input-file-type openapi
--encoding "UTF-8"
--disable-timestamp
--use-schema-description
--snake-case-field
--strict-nullable
--input <path/to/file.yml>
--output <path/to/file.py>
(cf. https://pydantic-docs.helpmanual.io/datamodel_code_generator/).
Alternatively, call:
just build