openeo_udf.server package

Subpackages

• openeo_udf.server.data_model package
  • Submodules
  • openeo_udf.server.data_model.bounding_box_schema module
  • openeo_udf.server.data_model.data_collection_schema module
  • openeo_udf.server.data_model.datacube_schema module
  • openeo_udf.server.data_model.machine_learn_schema module
  • openeo_udf.server.data_model.metadata_schema module
  • openeo_udf.server.data_model.model_example_creator module
  • openeo_udf.server.data_model.simple_feature_collection_schema module
  • openeo_udf.server.data_model.structured_data_schema module
  • openeo_udf.server.data_model.udf_schemas module
  • openeo_udf.server.data_model.variables_collection_schema module
  • Module contents

Submodules

openeo_udf.server.config module

class openeo_udf.server.config.UdfConfiguration

Bases: object

machine_learn_storage_path = '/tmp/ml_storage'

temporary_storage_path = '/tmp'

openeo_udf.server.machine_learn_database module

class openeo_udf.server.machine_learn_database.RequestStorageModel

Bases: pydantic.main.BaseModel

class openeo_udf.server.machine_learn_database.ResponseStorageModel

Bases: pydantic.main.BaseModel

openeo_udf.server.machine_learn_database.store_model(filepath: str, request_storage: openeo_udf.server.machine_learn_database.RequestStorageModel) → Union[str, NoneType]

openeo_udf.server.tools module

openeo_udf.server.tools.create_storage_directory()

Create all endpoints for the openEO UDF API

Returns:

openeo_udf.server.udf module

openeo_udf.server.udf.ml_delete(md5_hash: str)

Delete a machine learn model in the udf machine learn database that matches the provided md5 hash. The md5 hash of the to be deleted model must be provided as text in the HTTP request.

openeo_udf.server.udf.ml_get()

Return all md5 hashes of the stored machine learn models as list

openeo_udf.server.udf.ml_post(request_storage: openeo_udf.server.machine_learn_database.RequestStorageModel)

Store a machine learn model in the udf machine learn database and return the corresponding md5 hash. The URL were the model is located must be provided as text in the HTTP request

openeo_udf.server.udf.udf(request: openeo_udf.server.data_model.udf_schemas.UdfRequestModel = Schema(default: Ellipsis, extra: {}))

Run a Python user defined function (UDF) on the provided data collection

openeo_udf.server.udf.udf_legacy(request: openeo_udf.server.data_model.legacy.udf_legacy_schemas.UdfLegacyRequestModel = Schema(default: Ellipsis, extra: {}))

Run a Python user defined function (UDF) on the provided legacy data

openeo_udf.server.udf.udf_legacy_message_pack(request: starlette.requests.Request)

Run a Python user defined function (UDF) on the provided legacy data that are base64 encoded message pack objects

openeo_udf.server.udf.udf_message_pack(request: starlette.requests.Request)

Run a Python user defined function (UDF) on the provided data collection that are base64 encoded message pack objects

Module contents