mirror of
https://gitee.com/dify_ai/dify.git
synced 2024-12-02 03:07:59 +08:00
fix: avoid unexpected error when create knowledge base with baidu vector database and wenxin embedding model (#10130)
This commit is contained in:
parent
805c701767
commit
b61baa87ec
@ -16,6 +16,7 @@ from configs.middleware.storage.supabase_storage_config import SupabaseStorageCo
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from configs.middleware.storage.tencent_cos_storage_config import TencentCloudCOSStorageConfig
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from configs.middleware.storage.volcengine_tos_storage_config import VolcengineTOSStorageConfig
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from configs.middleware.vdb.analyticdb_config import AnalyticdbConfig
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from configs.middleware.vdb.baidu_vector_config import BaiduVectorDBConfig
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from configs.middleware.vdb.chroma_config import ChromaConfig
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from configs.middleware.vdb.couchbase_config import CouchbaseConfig
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from configs.middleware.vdb.elasticsearch_config import ElasticsearchConfig
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@ -259,5 +260,6 @@ class MiddlewareConfig(
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UpstashConfig,
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TidbOnQdrantConfig,
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OceanBaseVectorConfig,
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BaiduVectorDBConfig,
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):
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pass
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@ -3,11 +3,13 @@ import time
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import uuid
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from typing import Any
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import numpy as np
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from pydantic import BaseModel, model_validator
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from pymochow import MochowClient
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from pymochow.auth.bce_credentials import BceCredentials
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from pymochow.configuration import Configuration
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from pymochow.model.enum import FieldType, IndexState, IndexType, MetricType, TableState
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from pymochow.exception import ServerError
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from pymochow.model.enum import FieldType, IndexState, IndexType, MetricType, ServerErrCode, TableState
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from pymochow.model.schema import Field, HNSWParams, Schema, VectorIndex
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from pymochow.model.table import AnnSearch, HNSWSearchParams, Partition, Row
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@ -116,6 +118,7 @@ class BaiduVector(BaseVector):
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self._db.table(self._collection_name).delete(filter=f"{key} = '{value}'")
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def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
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query_vector = [float(val) if isinstance(val, np.float64) else val for val in query_vector]
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anns = AnnSearch(
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vector_field=self.field_vector,
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vector_floats=query_vector,
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@ -149,7 +152,13 @@ class BaiduVector(BaseVector):
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return docs
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def delete(self) -> None:
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self._db.drop_table(table_name=self._collection_name)
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try:
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self._db.drop_table(table_name=self._collection_name)
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except ServerError as e:
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if e.code == ServerErrCode.TABLE_NOT_EXIST:
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pass
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else:
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raise
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def _init_client(self, config) -> MochowClient:
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config = Configuration(credentials=BceCredentials(config.account, config.api_key), endpoint=config.endpoint)
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@ -166,7 +175,14 @@ class BaiduVector(BaseVector):
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if exists:
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return self._client.database(self._client_config.database)
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else:
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return self._client.create_database(database_name=self._client_config.database)
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try:
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self._client.create_database(database_name=self._client_config.database)
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except ServerError as e:
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if e.code == ServerErrCode.DB_ALREADY_EXIST:
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pass
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else:
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raise
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return
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def _table_existed(self) -> bool:
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tables = self._db.list_table()
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@ -175,7 +191,7 @@ class BaiduVector(BaseVector):
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def _create_table(self, dimension: int) -> None:
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# Try to grab distributed lock and create table
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lock_name = "vector_indexing_lock_{}".format(self._collection_name)
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with redis_client.lock(lock_name, timeout=20):
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with redis_client.lock(lock_name, timeout=60):
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table_exist_cache_key = "vector_indexing_{}".format(self._collection_name)
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if redis_client.get(table_exist_cache_key):
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return
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@ -238,15 +254,14 @@ class BaiduVector(BaseVector):
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description="Table for Dify",
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)
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# Wait for table created
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while True:
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time.sleep(1)
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table = self._db.describe_table(self._collection_name)
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if table.state == TableState.NORMAL:
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break
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redis_client.set(table_exist_cache_key, 1, ex=3600)
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# Wait for table created
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while True:
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time.sleep(1)
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table = self._db.describe_table(self._collection_name)
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if table.state == TableState.NORMAL:
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break
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class BaiduVectorFactory(AbstractVectorFactory):
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def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> BaiduVector:
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44
api/poetry.lock
generated
44
api/poetry.lock
generated
@ -1,4 +1,4 @@
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# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
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# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
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[[package]]
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name = "aiohappyeyeballs"
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@ -932,10 +932,6 @@ files = [
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@ -948,14 +944,8 @@ files = [
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@ -966,24 +956,8 @@ files = [
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@ -993,10 +967,6 @@ files = [
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@ -1008,10 +978,6 @@ files = [
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||||
{file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:d342778ef319e1026af243ed0a07c97acf3bad33b9f29e7ae6a1f68fd083e90c"},
|
||||
{file = "Brotli-1.1.0-cp37-cp37m-win32.whl", hash = "sha256:587ca6d3cef6e4e868102672d3bd9dc9698c309ba56d41c2b9c85bbb903cdb95"},
|
||||
{file = "Brotli-1.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:2954c1c23f81c2eaf0b0717d9380bd348578a94161a65b3a2afc62c86467dd68"},
|
||||
{file = "Brotli-1.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:efa8b278894b14d6da122a72fefcebc28445f2d3f880ac59d46c90f4c13be9a3"},
|
||||
@ -1024,10 +990,6 @@ files = [
|
||||
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:1ab4fbee0b2d9098c74f3057b2bc055a8bd92ccf02f65944a241b4349229185a"},
|
||||
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:141bd4d93984070e097521ed07e2575b46f817d08f9fa42b16b9b5f27b5ac088"},
|
||||
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:fce1473f3ccc4187f75b4690cfc922628aed4d3dd013d047f95a9b3919a86596"},
|
||||
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d2b35ca2c7f81d173d2fadc2f4f31e88cc5f7a39ae5b6db5513cf3383b0e0ec7"},
|
||||
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:af6fa6817889314555aede9a919612b23739395ce767fe7fcbea9a80bf140fe5"},
|
||||
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:2feb1d960f760a575dbc5ab3b1c00504b24caaf6986e2dc2b01c09c87866a943"},
|
||||
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:4410f84b33374409552ac9b6903507cdb31cd30d2501fc5ca13d18f73548444a"},
|
||||
{file = "Brotli-1.1.0-cp38-cp38-win32.whl", hash = "sha256:db85ecf4e609a48f4b29055f1e144231b90edc90af7481aa731ba2d059226b1b"},
|
||||
{file = "Brotli-1.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:3d7954194c36e304e1523f55d7042c59dc53ec20dd4e9ea9d151f1b62b4415c0"},
|
||||
{file = "Brotli-1.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5fb2ce4b8045c78ebbc7b8f3c15062e435d47e7393cc57c25115cfd49883747a"},
|
||||
@ -1040,10 +1002,6 @@ files = [
|
||||
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:949f3b7c29912693cee0afcf09acd6ebc04c57af949d9bf77d6101ebb61e388c"},
|
||||
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:89f4988c7203739d48c6f806f1e87a1d96e0806d44f0fba61dba81392c9e474d"},
|
||||
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:de6551e370ef19f8de1807d0a9aa2cdfdce2e85ce88b122fe9f6b2b076837e59"},
|
||||
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0737ddb3068957cf1b054899b0883830bb1fec522ec76b1098f9b6e0f02d9419"},
|
||||
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:4f3607b129417e111e30637af1b56f24f7a49e64763253bbc275c75fa887d4b2"},
|
||||
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:6c6e0c425f22c1c719c42670d561ad682f7bfeeef918edea971a79ac5252437f"},
|
||||
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:494994f807ba0b92092a163a0a283961369a65f6cbe01e8891132b7a320e61eb"},
|
||||
{file = "Brotli-1.1.0-cp39-cp39-win32.whl", hash = "sha256:f0d8a7a6b5983c2496e364b969f0e526647a06b075d034f3297dc66f3b360c64"},
|
||||
{file = "Brotli-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:cdad5b9014d83ca68c25d2e9444e28e967ef16e80f6b436918c700c117a85467"},
|
||||
{file = "Brotli-1.1.0.tar.gz", hash = "sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724"},
|
||||
|
Loading…
Reference in New Issue
Block a user