merge main
jZonG
11 months ago
commit
37c6bdec3d
@ -0,0 +1,14 @@
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from pydantic import BaseModel, Field
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class MatrixoneConfig(BaseModel):
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"""Matrixone vector database configuration."""
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MATRIXONE_HOST: str = Field(default="localhost", description="Host address of the Matrixone server")
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MATRIXONE_PORT: int = Field(default=6001, description="Port number of the Matrixone server")
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MATRIXONE_USER: str = Field(default="dump", description="Username for authenticating with Matrixone")
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MATRIXONE_PASSWORD: str = Field(default="111", description="Password for authenticating with Matrixone")
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MATRIXONE_DATABASE: str = Field(default="dify", description="Name of the Matrixone database to connect to")
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MATRIXONE_METRIC: str = Field(
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default="l2", description="Distance metric type for vector similarity search (cosine or l2)"
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)
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@ -0,0 +1,233 @@
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import json
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import logging
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import uuid
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from functools import wraps
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from typing import Any, Optional
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from mo_vector.client import MoVectorClient # type: ignore
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from pydantic import BaseModel, model_validator
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from configs import dify_config
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from core.rag.datasource.vdb.vector_base import BaseVector
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from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory
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from core.rag.datasource.vdb.vector_type import VectorType
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from core.rag.embedding.embedding_base import Embeddings
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from core.rag.models.document import Document
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from extensions.ext_redis import redis_client
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from models.dataset import Dataset
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logger = logging.getLogger(__name__)
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class MatrixoneConfig(BaseModel):
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host: str = "localhost"
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port: int = 6001
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user: str = "dump"
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password: str = "111"
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database: str = "dify"
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metric: str = "l2"
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@model_validator(mode="before")
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@classmethod
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def validate_config(cls, values: dict) -> dict:
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if not values["host"]:
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raise ValueError("config host is required")
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if not values["port"]:
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raise ValueError("config port is required")
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if not values["user"]:
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raise ValueError("config user is required")
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if not values["password"]:
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raise ValueError("config password is required")
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if not values["database"]:
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raise ValueError("config database is required")
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return values
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def ensure_client(func):
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@wraps(func)
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def wrapper(self, *args, **kwargs):
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if self.client is None:
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self.client = self._get_client(None, False)
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return func(self, *args, **kwargs)
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return wrapper
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class MatrixoneVector(BaseVector):
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"""
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Matrixone vector storage implementation.
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"""
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def __init__(self, collection_name: str, config: MatrixoneConfig):
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super().__init__(collection_name)
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self.config = config
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self.collection_name = collection_name.lower()
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self.client = None
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@property
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def collection_name(self):
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return self._collection_name
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@collection_name.setter
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def collection_name(self, value):
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self._collection_name = value
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def get_type(self) -> str:
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return VectorType.MATRIXONE
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def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs):
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if self.client is None:
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self.client = self._get_client(len(embeddings[0]), True)
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return self.add_texts(texts, embeddings)
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def _get_client(self, dimension: Optional[int] = None, create_table: bool = False) -> MoVectorClient:
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"""
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Create a new client for the collection.
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The collection will be created if it doesn't exist.
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"""
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lock_name = f"vector_indexing_lock_{self._collection_name}"
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with redis_client.lock(lock_name, timeout=20):
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client = MoVectorClient(
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connection_string=f"mysql+pymysql://{self.config.user}:{self.config.password}@{self.config.host}:{self.config.port}/{self.config.database}",
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table_name=self.collection_name,
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vector_dimension=dimension,
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create_table=create_table,
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)
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collection_exist_cache_key = f"vector_indexing_{self._collection_name}"
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if redis_client.get(collection_exist_cache_key):
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return client
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try:
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client.create_full_text_index()
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except Exception as e:
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logger.exception("Failed to create full text index")
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redis_client.set(collection_exist_cache_key, 1, ex=3600)
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return client
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def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs):
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if self.client is None:
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self.client = self._get_client(len(embeddings[0]), True)
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assert self.client is not None
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ids = []
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for _, doc in enumerate(documents):
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if doc.metadata is not None:
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doc_id = doc.metadata.get("doc_id", str(uuid.uuid4()))
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ids.append(doc_id)
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self.client.insert(
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texts=[doc.page_content for doc in documents],
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embeddings=embeddings,
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metadatas=[doc.metadata for doc in documents],
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ids=ids,
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)
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return ids
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@ensure_client
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def text_exists(self, id: str) -> bool:
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assert self.client is not None
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result = self.client.get(ids=[id])
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return len(result) > 0
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@ensure_client
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def delete_by_ids(self, ids: list[str]) -> None:
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assert self.client is not None
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if not ids:
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return
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self.client.delete(ids=ids)
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@ensure_client
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def get_ids_by_metadata_field(self, key: str, value: str):
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assert self.client is not None
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results = self.client.query_by_metadata(filter={key: value})
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return [result.id for result in results]
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@ensure_client
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def delete_by_metadata_field(self, key: str, value: str) -> None:
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assert self.client is not None
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self.client.delete(filter={key: value})
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@ensure_client
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def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
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assert self.client is not None
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top_k = kwargs.get("top_k", 5)
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document_ids_filter = kwargs.get("document_ids_filter")
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filter = None
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if document_ids_filter:
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filter = {"document_id": {"$in": document_ids_filter}}
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results = self.client.query(
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query_vector=query_vector,
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k=top_k,
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filter=filter,
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)
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docs = []
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# TODO: add the score threshold to the query
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for result in results:
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metadata = result.metadata
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docs.append(
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Document(
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page_content=result.document,
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metadata=metadata,
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)
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)
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return docs
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@ensure_client
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def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:
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assert self.client is not None
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top_k = kwargs.get("top_k", 5)
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document_ids_filter = kwargs.get("document_ids_filter")
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filter = None
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if document_ids_filter:
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filter = {"document_id": {"$in": document_ids_filter}}
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score_threshold = float(kwargs.get("score_threshold", 0.0))
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results = self.client.full_text_query(
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keywords=[query],
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k=top_k,
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filter=filter,
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)
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docs = []
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for result in results:
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metadata = result.metadata
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if isinstance(metadata, str):
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import json
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metadata = json.loads(metadata)
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score = 1 - result.distance
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if score >= score_threshold:
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metadata["score"] = score
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docs.append(
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Document(
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page_content=result.document,
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metadata=metadata,
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)
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)
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return docs
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@ensure_client
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def delete(self) -> None:
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assert self.client is not None
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self.client.delete()
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class MatrixoneVectorFactory(AbstractVectorFactory):
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def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> MatrixoneVector:
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if dataset.index_struct_dict:
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class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"]
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collection_name = class_prefix
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else:
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dataset_id = dataset.id
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collection_name = Dataset.gen_collection_name_by_id(dataset_id)
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dataset.index_struct = json.dumps(self.gen_index_struct_dict(VectorType.MATRIXONE, collection_name))
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config = MatrixoneConfig(
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host=dify_config.MATRIXONE_HOST or "localhost",
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port=dify_config.MATRIXONE_PORT or 6001,
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user=dify_config.MATRIXONE_USER or "dump",
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password=dify_config.MATRIXONE_PASSWORD or "111",
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database=dify_config.MATRIXONE_DATABASE or "dify",
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metric=dify_config.MATRIXONE_METRIC or "l2",
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)
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return MatrixoneVector(collection_name=collection_name, config=config)
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@ -0,0 +1,65 @@
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import contextvars
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from collections.abc import Iterator
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from contextlib import contextmanager
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from typing import TypeVar
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from flask import Flask, g, has_request_context
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T = TypeVar("T")
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@contextmanager
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def preserve_flask_contexts(
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flask_app: Flask,
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context_vars: contextvars.Context,
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) -> Iterator[None]:
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"""
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A context manager that handles:
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1. flask-login's UserProxy copy
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2. ContextVars copy
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3. flask_app.app_context()
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This context manager ensures that the Flask application context is properly set up,
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the current user is preserved across context boundaries, and any provided context variables
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are set within the new context.
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Note:
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This manager aims to allow use current_user cross thread and app context,
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but it's not the recommend use, it's better to pass user directly in parameters.
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Args:
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flask_app: The Flask application instance
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context_vars: contextvars.Context object containing context variables to be set in the new context
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Yields:
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None
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Example:
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```python
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with preserve_flask_contexts(flask_app, context_vars=context_vars):
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# Code that needs Flask app context and context variables
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# Current user will be preserved if available
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```
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"""
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# Set context variables if provided
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if context_vars:
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for var, val in context_vars.items():
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var.set(val)
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# Save current user before entering new app context
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saved_user = None
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if has_request_context() and hasattr(g, "_login_user"):
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saved_user = g._login_user
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# Enter Flask app context
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with flask_app.app_context():
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try:
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# Restore user in new app context if it was saved
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if saved_user is not None:
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g._login_user = saved_user
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# Yield control back to the caller
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yield
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finally:
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# Any cleanup can be added here if needed
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pass
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@ -0,0 +1,42 @@
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import logging
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import sendgrid # type: ignore
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from python_http_client.exceptions import ForbiddenError, UnauthorizedError
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from sendgrid.helpers.mail import Content, Email, Mail, To # type: ignore
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class SendGridClient:
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def __init__(self, sendgrid_api_key: str, _from: str):
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self.sendgrid_api_key = sendgrid_api_key
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self._from = _from
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def send(self, mail: dict):
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logging.debug("Sending email with SendGrid")
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try:
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_to = mail["to"]
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if not _to:
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raise ValueError("SendGridClient: Cannot send email: recipient address is missing.")
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sg = sendgrid.SendGridAPIClient(api_key=self.sendgrid_api_key)
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from_email = Email(self._from)
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to_email = To(_to)
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subject = mail["subject"]
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content = Content("text/html", mail["html"])
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mail = Mail(from_email, to_email, subject, content)
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mail_json = mail.get() # type: ignore
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response = sg.client.mail.send.post(request_body=mail_json)
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logging.debug(response.status_code)
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logging.debug(response.body)
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logging.debug(response.headers)
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except TimeoutError as e:
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logging.exception("SendGridClient Timeout occurred while sending email")
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raise
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except (UnauthorizedError, ForbiddenError) as e:
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logging.exception("SendGridClient Authentication failed. Verify that your credentials and the 'from")
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raise
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except Exception as e:
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logging.exception(f"SendGridClient Unexpected error occurred while sending email to {_to}")
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raise
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@ -0,0 +1,5 @@
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from services.errors.base import BaseServiceError
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class PluginInstallationForbiddenError(BaseServiceError):
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pass
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@ -0,0 +1,25 @@
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from core.rag.datasource.vdb.matrixone.matrixone_vector import MatrixoneConfig, MatrixoneVector
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from tests.integration_tests.vdb.test_vector_store import (
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AbstractVectorTest,
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get_example_text,
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setup_mock_redis,
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)
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class MatrixoneVectorTest(AbstractVectorTest):
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def __init__(self):
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super().__init__()
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self.vector = MatrixoneVector(
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collection_name=self.collection_name,
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config=MatrixoneConfig(
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host="localhost", port=6001, user="dump", password="111", database="dify", metric="l2"
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),
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)
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def get_ids_by_metadata_field(self):
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ids = self.vector.get_ids_by_metadata_field(key="document_id", value=self.example_doc_id)
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assert len(ids) == 1
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def test_matrixone_vector(setup_mock_redis):
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MatrixoneVectorTest().run_all_tests()
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@ -1,49 +0,0 @@
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import time
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import pymysql
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def check_oceanbase_ready() -> bool:
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try:
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connection = pymysql.connect(
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host="localhost",
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port=2881,
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user="root",
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password="difyai123456",
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)
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affected_rows = connection.query("SELECT 1")
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return affected_rows == 1
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except Exception as e:
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print(f"Oceanbase is not ready. Exception: {e}")
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return False
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finally:
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if connection:
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connection.close()
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def main():
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max_attempts = 50
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retry_interval_seconds = 2
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is_oceanbase_ready = False
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for attempt in range(max_attempts):
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try:
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is_oceanbase_ready = check_oceanbase_ready()
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except Exception as e:
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print(f"Oceanbase is not ready. Exception: {e}")
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is_oceanbase_ready = False
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if is_oceanbase_ready:
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break
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else:
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print(f"Attempt {attempt + 1} failed, retry in {retry_interval_seconds} seconds...")
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time.sleep(retry_interval_seconds)
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|
||||
if is_oceanbase_ready:
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print("Oceanbase is ready.")
|
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else:
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print(f"Oceanbase is not ready after {max_attempts} attempting checks.")
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exit(1)
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||||
|
||||
if __name__ == "__main__":
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main()
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@ -0,0 +1,124 @@
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import contextvars
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import threading
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from typing import Optional
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import pytest
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from flask import Flask
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from flask_login import LoginManager, UserMixin, current_user, login_user
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from libs.flask_utils import preserve_flask_contexts
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class User(UserMixin):
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"""Simple User class for testing."""
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|
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def __init__(self, id: str):
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self.id = id
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def get_id(self) -> str:
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return self.id
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|
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@pytest.fixture
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def login_app(app: Flask) -> Flask:
|
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"""Set up a Flask app with flask-login."""
|
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# Set a secret key for the app
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app.config["SECRET_KEY"] = "test-secret-key"
|
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|
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login_manager = LoginManager()
|
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login_manager.init_app(app)
|
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|
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@login_manager.user_loader
|
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def load_user(user_id: str) -> Optional[User]:
|
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if user_id == "test_user":
|
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return User("test_user")
|
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return None
|
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|
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return app
|
||||
|
||||
|
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@pytest.fixture
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||||
def test_user() -> User:
|
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"""Create a test user."""
|
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return User("test_user")
|
||||
|
||||
|
||||
def test_current_user_not_accessible_across_threads(login_app: Flask, test_user: User):
|
||||
"""
|
||||
Test that current_user is not accessible in a different thread without preserve_flask_contexts.
|
||||
|
||||
This test demonstrates that without the preserve_flask_contexts, we cannot access
|
||||
current_user in a different thread, even with app_context.
|
||||
"""
|
||||
# Log in the user in the main thread
|
||||
with login_app.test_request_context():
|
||||
login_user(test_user)
|
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assert current_user.is_authenticated
|
||||
assert current_user.id == "test_user"
|
||||
|
||||
# Store the result of the thread execution
|
||||
result = {"user_accessible": True, "error": None}
|
||||
|
||||
# Define a function to run in a separate thread
|
||||
def check_user_in_thread():
|
||||
try:
|
||||
# Try to access current_user in a different thread with app_context
|
||||
with login_app.app_context():
|
||||
# This should fail because current_user is not accessible across threads
|
||||
# without preserve_flask_contexts
|
||||
result["user_accessible"] = current_user.is_authenticated
|
||||
except Exception as e:
|
||||
result["error"] = str(e) # type: ignore
|
||||
|
||||
# Run the function in a separate thread
|
||||
thread = threading.Thread(target=check_user_in_thread)
|
||||
thread.start()
|
||||
thread.join()
|
||||
|
||||
# Verify that we got an error or current_user is not authenticated
|
||||
assert result["error"] is not None or (result["user_accessible"] is not None and not result["user_accessible"])
|
||||
|
||||
|
||||
def test_current_user_accessible_with_preserve_flask_contexts(login_app: Flask, test_user: User):
|
||||
"""
|
||||
Test that current_user is accessible in a different thread with preserve_flask_contexts.
|
||||
|
||||
This test demonstrates that with the preserve_flask_contexts, we can access
|
||||
current_user in a different thread.
|
||||
"""
|
||||
# Log in the user in the main thread
|
||||
with login_app.test_request_context():
|
||||
login_user(test_user)
|
||||
assert current_user.is_authenticated
|
||||
assert current_user.id == "test_user"
|
||||
|
||||
# Save the context variables
|
||||
context_vars = contextvars.copy_context()
|
||||
|
||||
# Store the result of the thread execution
|
||||
result = {"user_accessible": False, "user_id": None, "error": None}
|
||||
|
||||
# Define a function to run in a separate thread
|
||||
def check_user_in_thread_with_manager():
|
||||
try:
|
||||
# Use preserve_flask_contexts to access current_user in a different thread
|
||||
with preserve_flask_contexts(login_app, context_vars):
|
||||
from flask_login import current_user
|
||||
|
||||
if current_user:
|
||||
result["user_accessible"] = True
|
||||
result["user_id"] = current_user.id
|
||||
else:
|
||||
result["user_accessible"] = False
|
||||
except Exception as e:
|
||||
result["error"] = str(e) # type: ignore
|
||||
|
||||
# Run the function in a separate thread
|
||||
thread = threading.Thread(target=check_user_in_thread_with_manager)
|
||||
thread.start()
|
||||
thread.join()
|
||||
|
||||
# Verify that current_user is accessible and has the correct ID
|
||||
assert result["error"] is None
|
||||
assert result["user_accessible"] is True
|
||||
assert result["user_id"] == "test_user"
|
||||
File diff suppressed because it is too large
Load Diff
@ -0,0 +1,72 @@
|
||||
import { useEffect, useState } from 'react'
|
||||
|
||||
type DSLDragDropHookProps = {
|
||||
onDSLFileDropped: (file: File) => void
|
||||
containerRef: React.RefObject<HTMLDivElement>
|
||||
enabled?: boolean
|
||||
}
|
||||
|
||||
export const useDSLDragDrop = ({ onDSLFileDropped, containerRef, enabled = true }: DSLDragDropHookProps) => {
|
||||
const [dragging, setDragging] = useState(false)
|
||||
|
||||
const handleDragEnter = (e: DragEvent) => {
|
||||
e.preventDefault()
|
||||
e.stopPropagation()
|
||||
if (e.dataTransfer?.types.includes('Files'))
|
||||
setDragging(true)
|
||||
}
|
||||
|
||||
const handleDragOver = (e: DragEvent) => {
|
||||
e.preventDefault()
|
||||
e.stopPropagation()
|
||||
}
|
||||
|
||||
const handleDragLeave = (e: DragEvent) => {
|
||||
e.preventDefault()
|
||||
e.stopPropagation()
|
||||
if (e.relatedTarget === null || !containerRef.current?.contains(e.relatedTarget as Node))
|
||||
setDragging(false)
|
||||
}
|
||||
|
||||
const handleDrop = (e: DragEvent) => {
|
||||
e.preventDefault()
|
||||
e.stopPropagation()
|
||||
setDragging(false)
|
||||
|
||||
if (!e.dataTransfer)
|
||||
return
|
||||
|
||||
const files = [...e.dataTransfer.files]
|
||||
if (files.length === 0)
|
||||
return
|
||||
|
||||
const file = files[0]
|
||||
if (file.name.toLowerCase().endsWith('.yaml') || file.name.toLowerCase().endsWith('.yml'))
|
||||
onDSLFileDropped(file)
|
||||
}
|
||||
|
||||
useEffect(() => {
|
||||
if (!enabled)
|
||||
return
|
||||
|
||||
const current = containerRef.current
|
||||
if (current) {
|
||||
current.addEventListener('dragenter', handleDragEnter)
|
||||
current.addEventListener('dragover', handleDragOver)
|
||||
current.addEventListener('dragleave', handleDragLeave)
|
||||
current.addEventListener('drop', handleDrop)
|
||||
}
|
||||
return () => {
|
||||
if (current) {
|
||||
current.removeEventListener('dragenter', handleDragEnter)
|
||||
current.removeEventListener('dragover', handleDragOver)
|
||||
current.removeEventListener('dragleave', handleDragLeave)
|
||||
current.removeEventListener('drop', handleDrop)
|
||||
}
|
||||
}
|
||||
}, [containerRef, enabled])
|
||||
|
||||
return {
|
||||
dragging: enabled ? dragging : false,
|
||||
}
|
||||
}
|
||||
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Reference in New Issue