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https://github.com/deepset-ai/haystack.git
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fix: Allowing InMemStore and FAISSDocStore for indexing using single worker (#3868)
* Allowing InMemStore and FAISSDocStore for indexing using single worker YAML config * unified pipeline & doc store loading * fix pylint warning * separated tests * removed unnecessay caplog
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@ -13,9 +13,32 @@ from rest_api.controller.utils import RequestLimiter
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logger = logging.getLogger(__name__)
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# Since each instance of FAISSDocumentStore creates an in-memory FAISS index, the Indexing & Query Pipelines would
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# end up with different indices. The same applies for InMemoryDocumentStore.
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UNSUPPORTED_DOC_STORES = (FAISSDocumentStore, InMemoryDocumentStore)
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# Each instance of FAISSDocumentStore creates an in-memory FAISS index,
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# the Indexing & Query Pipelines will end up with different indices for each worker.
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# The same applies for InMemoryDocumentStore.
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SINGLE_PROCESS_DOC_STORES = (FAISSDocumentStore, InMemoryDocumentStore)
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def _load_pipeline(pipeline_yaml_path, indexing_pipeline_name):
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# Load pipeline (if available)
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try:
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pipeline = Pipeline.load_from_yaml(Path(pipeline_yaml_path), pipeline_name=indexing_pipeline_name)
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logging.info("Loaded pipeline nodes: %s", pipeline.graph.nodes.keys())
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document_store = _get_pipeline_doc_store(pipeline)
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except PipelineConfigError as e:
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pipeline, document_store = None, None
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logger.error(
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"Error loading %s pipeline from %s. \n %s\n", indexing_pipeline_name, pipeline_yaml_path, e.message
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)
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return pipeline, document_store
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def _get_pipeline_doc_store(pipeline):
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document_store = pipeline.get_document_store()
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logging.info("Loaded docstore: %s", document_store)
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if isinstance(document_store, SINGLE_PROCESS_DOC_STORES):
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logger.warning("FAISSDocumentStore or InMemoryDocumentStore should only be used with 1 worker.")
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return document_store
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def setup_pipelines() -> Dict[str, Any]:
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@ -24,14 +47,9 @@ def setup_pipelines() -> Dict[str, Any]:
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pipelines = {}
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# Load query pipeline
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query_pipeline = Pipeline.load_from_yaml(Path(config.PIPELINE_YAML_PATH), pipeline_name=config.QUERY_PIPELINE_NAME)
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logging.info("Loaded pipeline nodes: %s", query_pipeline.graph.nodes.keys())
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# Load query pipeline & document store
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query_pipeline, document_store = _load_pipeline(config.PIPELINE_YAML_PATH, config.QUERY_PIPELINE_NAME)
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pipelines["query_pipeline"] = query_pipeline
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# Find document store
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document_store = query_pipeline.get_document_store()
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logging.info("Loaded docstore: %s", document_store)
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pipelines["document_store"] = document_store
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# Setup concurrency limiter
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@ -39,24 +57,11 @@ def setup_pipelines() -> Dict[str, Any]:
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logging.info("Concurrent requests per worker: %s", config.CONCURRENT_REQUEST_PER_WORKER)
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pipelines["concurrency_limiter"] = concurrency_limiter
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# Load indexing pipeline (if available)
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try:
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indexing_pipeline = Pipeline.load_from_yaml(
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Path(config.PIPELINE_YAML_PATH), pipeline_name=config.INDEXING_PIPELINE_NAME
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)
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docstore = indexing_pipeline.get_document_store()
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if isinstance(docstore, UNSUPPORTED_DOC_STORES):
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indexing_pipeline = None
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raise PipelineConfigError(
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"Indexing pipelines with FAISSDocumentStore or InMemoryDocumentStore are not supported by the REST APIs."
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)
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except PipelineConfigError as e:
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indexing_pipeline = None
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logger.error("%s\nFile Upload API will not be available.", e.message)
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finally:
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pipelines["indexing_pipeline"] = indexing_pipeline
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# Load indexing pipeline
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index_pipeline, _ = _load_pipeline(config.PIPELINE_YAML_PATH, config.INDEXING_PIPELINE_NAME)
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if not index_pipeline:
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logger.warning("Indexing Pipeline is not setup. File Upload API will not be available.")
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pipelines["indexing_pipeline"] = index_pipeline
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# Create directory for uploaded files
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os.makedirs(config.FILE_UPLOAD_PATH, exist_ok=True)
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17
rest_api/test/samples/test.bogus_pipeline.yml
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17
rest_api/test/samples/test.bogus_pipeline.yml
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@ -0,0 +1,17 @@
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version: 'ignore'
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components:
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- name: InMemoryDocumentStore
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params: {}
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# Wrong DocumentStore Type
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type: MyOwnDocumentStore
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- name: tfidf_ret
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params:
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document_store: InMemoryDocumentStore
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type: TfidfRetriever
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pipelines:
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- name: query
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nodes:
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- inputs:
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- Query
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name: tfidf_ret
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16
rest_api/test/samples/test.in-memory-haystack-pipeline.yml
Normal file
16
rest_api/test/samples/test.in-memory-haystack-pipeline.yml
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@ -0,0 +1,16 @@
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version: 'ignore'
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components:
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- name: InMemoryDocumentStore
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params: {}
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type: InMemoryDocumentStore
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- name: tfidf_ret
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params:
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document_store: InMemoryDocumentStore
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type: TfidfRetriever
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pipelines:
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- name: query
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nodes:
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- inputs:
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- Query
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name: tfidf_ret
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@ -5,25 +5,49 @@ from pathlib import Path
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from textwrap import dedent
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from unittest import mock
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from unittest.mock import MagicMock, Mock
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import functools
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import numpy as np
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import pandas as pd
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import pytest
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from fastapi.testclient import TestClient
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from haystack import Document, Answer
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from haystack import Document, Answer, Pipeline
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import haystack
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from haystack.nodes import BaseReader, BaseRetriever
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from haystack.document_stores import BaseDocumentStore
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from haystack.errors import PipelineSchemaError
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from haystack.schema import Label, FilterType
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from haystack.nodes.file_converter import BaseConverter
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from rest_api.pipeline import _load_pipeline
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from rest_api.utils import get_app
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TEST_QUERY = "Who made the PDF specification?"
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def test_single_worker_warning_for_indexing_pipelines(caplog):
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yaml_pipeline_path = Path(__file__).parent.resolve() / "samples" / "test.in-memory-haystack-pipeline.yml"
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p, _ = _load_pipeline(yaml_pipeline_path, None)
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assert isinstance(p, Pipeline)
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assert "used with 1 worker" in caplog.text
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def test_check_error_for_pipeline_not_found():
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yaml_pipeline_path = Path(__file__).parent.resolve() / "samples" / "test.in-memory-haystack-pipeline.yml"
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p, _ = _load_pipeline(yaml_pipeline_path, "ThisPipelineDoesntExist")
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assert p is None
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def test_bad_yaml_pipeline_configuration_error():
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yaml_pipeline_path = Path(__file__).parent.resolve() / "samples" / "test.bogus_pipeline.yml"
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with pytest.raises(PipelineSchemaError) as excinfo:
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_load_pipeline(yaml_pipeline_path, None)
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assert "MyOwnDocumentStore" in str(excinfo.value)
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class MockReader(BaseReader):
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outgoing_edges = 1
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