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توضیحات

A polymorphic schema managed semi structured crosslinked data dictionary builder.. BINGO!

ویژگی	مقدار
سیستم عامل	-
نام فایل	bstk-datatables-0.1.4
نام	bstk-datatables
نسخه کتابخانه	0.1.4
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	colin
ایمیل نویسنده	colin@broadstack.com.au
آدرس صفحه اصلی	-
آدرس اینترنتی	https://pypi.org/project/bstk-datatables/
مجوز	MIT

# Datatables - structured data library based on schemas [homepage](https://github.com/broadstack-com-au/bstk-datatables) ## Dev 1. `poetry install` 1. `poetry shell` -- Make changes -- 1. `poetry run pytest` 1. `poetry run black bstk_datatables` 1. `poetry run flake8 bstk_datatables` -- Commit & Push -- ## Install `pip install bstk-datatables` ## Overview Datatables act as an intermediary between [Marshmallow structures](https://marshmallow.readthedocs.io/en/stable/) and user defined data storage structures. It is designed to provide "just enough" sidechannel structure to facilitate building a dynamic schema, (and connecting with "other" interfaces), without losing the advantages afforded by static Marshmallow schemas. ### Schema Schema models are; * `Schema`: A collection of fields and references that make up a partial or complete entry * `SchemaField`: A basic instruction container representing a single value * `SchemaFieldFormat`: The specific instructions for how the field should be collected, represented, formatted and stored * `SchemaValuesError`: The only type of exception raised during schema validation These schemas and fields are mapped to equivalent [Marshmallow structures](https://marshmallow.readthedocs.io/en/stable/) which provide the entry value validation mechanisms.. ref: `Schema.process_values()` ### Entry An `Entry` is a collection of field values, references data, connector references and schema links. * `.schemata` is a list of `Schema.code`'s * `.table_id` is a link back to a `Table.uuid` * `.references` and `.connector_references` are unrestricted containers. Two containers are provided to seperate "core" references from "free-form" references. * `.values` is a dict of `Field.code` => `value` that conform to the listed schemata ### Table A `Table` corrals one or more `Entry` and shapes them towards one or more `Schema`. * `.schemata` is a list of `Schema.code`'s that all entries _must_ inherit * `.references` and `.connectors` are unrestricted containers. Two containers are provided to seperate "core" references from "free-form" references (and allows correlation with table entries). ### Marshalling and Persistence All core classes (and `Enum`) expose an `export` method which return a dict. The result of an `export()` can be unpacked and provided to its constructor. ```python def test_entry_export(): data = { "uuid": str(uuid4()), "table_id": str(uuid4()), "name": "Data Entry", "references": {"entity_uuid": str(uuid4())}, "connector_references": {"connector1": "connector_ref"}, "schemata": ["base"], "values": {"base/value1": "XG230"}, } entry = Entry(**data) exported = export(entry) assert exported == data ``` The simplest way to handle data persistence is to encapsulate class instanciation and the `export` method of the relevant class into an ORM or ODM framework. `MergeSchema` do not provide an export mechanism because they are not first-class citizens and are designed to work with established `Schema` structures. [This test provides an example of how to implement persistence with flat files](./tests/functional/test_persistence_documents.py#106). ## Extras ### MergedSchema Tables and Entries support more than a single schema reference. `MergedSchema` exists to facilitate mutli-schema validation and field ordering. Provide `Dict[Schema.Code: Schema]` as `schemata` when initialising a `MergedSchema` and it will: 1. Process the schema in order 1. De-dupe fields with the same code (If a later schema includes a field with the same code as a previously loaded schema - that field will be skipped) 1. Provide a validation mechanism for entries ### Enum Enum are used within schemas as de-duped lookups. Multiple schema fields can use the same Enum for shaping values. Usage: 1. Provide an `Enum.code` as a `lookup` instead of a `values` list when supplying `SchemaFieldFormat` to a schemafield. 1. Provide the instanciated `Enum` to `Schema.attach_lookup` on a compiled `Schema` or `MergedSchema`. __or__ 1. Provide an instanciated `Enum` as a `lookup` instead of a `values` list when supplying `SchemaFieldFormat` to a schemafield.

نیازمندی

مقدار	نام
>=3.19.0,<4.0.0	marshmallow
>=4.5.0,<5.0.0	typing_extensions

زبان مورد نیاز

مقدار	نام
>=3.7,<4.0	Python

نحوه نصب

نصب پکیج whl bstk-datatables-0.1.4:

pip install bstk-datatables-0.1.4.whl

نصب پکیج tar.gz bstk-datatables-0.1.4:

pip install bstk-datatables-0.1.4.tar.gz