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fix: fix incompatibility with Jina version (#55)

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Joan Fontanals 2023-08-23 09:49:30 +02:00 committed by GitHub
parent 4c5f5ebc90
commit a8e48b23aa
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GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 17 additions and 6 deletions
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2
requirements.txt
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@ -1,2 +1,2 @@
jina>=3.19.0 jina>=3.20.0
docarray[hnswlib]>=0.34.0 docarray[hnswlib]>=0.34.0

21
vectordb/db/executors/typed_executor.py
View File

@ -16,7 +16,6 @@ OutputSchema = TypeVar('OutputSchema', bound='BaseDoc')
methods = ['/index', '/update', '/delete', '/search'] methods = ['/index', '/update', '/delete', '/search']
class TypedExecutor(Executor, Generic[InputSchema, OutputSchema]): class TypedExecutor(Executor, Generic[InputSchema, OutputSchema]):
# the BaseDoc that defines the schema of the store # the BaseDoc that defines the schema of the store
# for subclasses this is filled automatically # for subclasses this is filled automatically
@ -30,11 +29,23 @@ class TypedExecutor(Executor, Generic[InputSchema, OutputSchema]):
for k, v in self._requests.items(): for k, v in self._requests.items():
if k != __dry_run_endpoint__: if k != __dry_run_endpoint__:
if k != '/search': if k != '/search':
self._requests[k] = _FunctionWithSchema(self._requests[k].fn, DocList[self._input_schema], self._requests[k] = _FunctionWithSchema(fn=self._requests[k].fn,
DocList[self._input_schema]) is_generator=self._requests[k].is_generator,
is_batch_docs=self._requests[k].is_batch_docs,
is_singleton_doc=self._requests[k].is_singleton_doc,
parameters_is_pydantic_model=self._requests[k].parameters_is_pydantic_model,
parameters_model=self._requests[k].parameters_model,
request_schema=DocList[self._input_schema],
response_schema=DocList[self._input_schema])
else: else:
self._requests[k] = _FunctionWithSchema(self._requests[k].fn, DocList[self._input_schema], self._requests[k] = _FunctionWithSchema(fn=self._requests[k].fn,
DocList[self._output_schema]) is_generator=self._requests[k].is_generator,
is_batch_docs=self._requests[k].is_batch_docs,
is_singleton_doc=self._requests[k].is_singleton_doc,
parameters_is_pydantic_model=self._requests[k].parameters_is_pydantic_model,
parameters_model=self._requests[k].parameters_model,
request_schema=DocList[self._input_schema],
response_schema=DocList[self._output_schema])
@property @property
def handle_persistence(self): def handle_persistence(self):