jina.helloworld.fashion.my_executors module

class jina.helloworld.fashion.my_executors.MyIndexer(\*kwargs*)[source]

Bases: jina.serve.executors.BaseExecutor

Executor with basic exact search using cosine distance

metas and requests are always auto-filled with values from YAML config.

• Parameters

  • metas – a dict of metas fields

  • requests – a dict of endpoint-function mapping

  • runtime_args – a dict of arguments injected from Runtime during runtime

  • kwargs – additional extra keyword arguments to avoid failing when extra params ara passed that are not expected

• index(docs, \*kwargs*)[source]

  Extend self._docs

  • Parameters

    • docs (DocumentArray) – DocumentArray containing Documents

    • kwargs – other keyword arguments

• search(docs, parameters, \*kwargs*)[source]

  Append best matches to each document in docs

  • Parameters

    • docs (DocumentArray) – documents that are searched

    • parameters (Dict) – dictionary of pairs (parameter,value)

    • kwargs – other keyword arguments

• close()[source]

  Stores the DocumentArray to disk

• requests = {‘/eval’: <function MyIndexer.search>, ‘/index’: <function MyIndexer.index>, ‘/search’: <function MyIndexer.search>}

class jina.helloworld.fashion.my_executors.MyEncoder(\*kwargs*)[source]

Bases: jina.serve.executors.BaseExecutor

Encode data using SVD decomposition

metas and requests are always auto-filled with values from YAML config.

• Parameters

  • metas – a dict of metas fields

  • requests – a dict of endpoint-function mapping

  • runtime_args – a dict of arguments injected from Runtime during runtime

  • kwargs – additional extra keyword arguments to avoid failing when extra params ara passed that are not expected

• encode(docs, \*kwargs*)[source]

  Encode the data using an SVD decomposition

  • Parameters

    • docs (DocumentArray) – input documents to update with an embedding

    • kwargs – other keyword arguments

• requests = {‘/default’: <function MyEncoder.encode>}

class jina.helloworld.fashion.my_executors.MyConverter(metas=None, requests=None, runtime_args=None, \*kwargs*)[source]

Bases: jina.serve.executors.BaseExecutor

Convert DocumentArrays removing tensor and reshaping tensor as image

metas and requests are always auto-filled with values from YAML config.

• Parameters

  • metas (Optional[Dict]) – a dict of metas fields

  • requests (Optional[Dict]) – a dict of endpoint-function mapping

  • runtime_args (Optional[Dict]) – a dict of arguments injected from Runtime during runtime

  • kwargs – additional extra keyword arguments to avoid failing when extra params ara passed that are not expected

• convert(docs, \*kwargs*)[source]

  Remove tensor and reshape documents as squared images :type docs: DocumentArray :param docs: documents to modify :param kwargs: other keyword arguments

• requests = {‘/default’: <function MyConverter.convert>}