odata-query is a library that parses OData v4 filter strings, and can
convert them to other forms such as Django Queries, SQLAlchemy Queries,
or just plain SQL.
odata-query is available on pypi, so can be installed with the package manager
of your choice:
pip install odata-query
# OR
poetry add odata-query
# OR
pipenv install odata-queryThe package defines the following optional extra's:
django: If you want to pin a compatible Django version.sqlalchemy: If you want to pin a compatible SQLAlchemy version.
The following extra's relate to the development of this library:
linting: The linting and code style tools.testing: Packages for running the tests.docs: For building the project documentation.
You can install extra's by adding them between square brackets during
installation:
pip install odata-query[sqlalchemy]The most common use case is probably parsing an OData query string, and applying
it to a query your ORM understands. For this purpose there is an all-in-one function:
apply_odata_query.
Example for Django:
from odata_query.django import apply_odata_query
orm_query = MyModel.objects # This can be a Manager or a QuerySet.
odata_query = "name eq 'test'" # This will usually come from a query string parameter.
query = apply_odata_query(orm_query, odata_query)
results = query.all()Example for SQLAlchemy:
from odata_query.sqlalchemy import apply_odata_query
orm_query = select(MyModel) # This is any form of Query or Selectable.
odata_query = "name eq 'test'" # This will usually come from a query string parameter.
query = apply_odata_query(orm_query, odata_query)
results = session.execute(query).scalars().all()Not all use cases are as simple as that. Luckily, odata-query is modular
and extendable. See the documentation for advanced usage or extending the
library for other cases.
Got any questions or ideas? We'd love to hear from you. Check out our contributing guidelines for ways to offer feedback and contribute.
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Licensed under the MIT License.