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fix: add missing vector type to migrate command (#9470)

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pull/9459/head
ice yao 1 year ago committed by GitHub
parent 3fc0ebdd51
commit a53fdc7126
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GPG Key ID: B5690EEEBB952194
1 changed files with 25 additions and 56 deletions
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81
api/commands.py
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@ -259,6 +259,25 @@ def migrate_knowledge_vector_database():
skipped_count = 0
total_count = 0
vector_type = dify_config.VECTOR_STORE
upper_colletion_vector_types = {
VectorType.MILVUS,
VectorType.PGVECTOR,
VectorType.RELYT,
VectorType.WEAVIATE,
VectorType.ORACLE,
VectorType.ELASTICSEARCH,
}
lower_colletion_vector_types = {
VectorType.ANALYTICDB,
VectorType.CHROMA,
VectorType.MYSCALE,
VectorType.PGVECTO_RS,
VectorType.TIDB_VECTOR,
VectorType.OPENSEARCH,
VectorType.TENCENT,
VectorType.BAIDU,
VectorType.VIKINGDB,
}
page = 1
while True:
try:
@ -284,11 +303,9 @@ def migrate_knowledge_vector_database():
skipped_count = skipped_count + 1
continue
collection_name = ""
if vector_type == VectorType.WEAVIATE:
dataset_id = dataset.id
dataset_id = dataset.id
if vector_type in upper_colletion_vector_types:
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {"type": VectorType.WEAVIATE, "vector_store": {"class_prefix": collection_name}}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.QDRANT:
if dataset.collection_binding_id:
dataset_collection_binding = (
@ -301,63 +318,15 @@ def migrate_knowledge_vector_database():
else:
raise ValueError("Dataset Collection Binding not found")
else:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {"type": VectorType.QDRANT, "vector_store": {"class_prefix": collection_name}}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.MILVUS:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {"type": VectorType.MILVUS, "vector_store": {"class_prefix": collection_name}}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.RELYT:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {"type": "relyt", "vector_store": {"class_prefix": collection_name}}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.TENCENT:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {"type": VectorType.TENCENT, "vector_store": {"class_prefix": collection_name}}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.PGVECTOR:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {"type": VectorType.PGVECTOR, "vector_store": {"class_prefix": collection_name}}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.OPENSEARCH:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": VectorType.OPENSEARCH,
"vector_store": {"class_prefix": collection_name},
}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.ANALYTICDB:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": VectorType.ANALYTICDB,
"vector_store": {"class_prefix": collection_name},
}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.ELASTICSEARCH:
dataset_id = dataset.id
index_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {"type": "elasticsearch", "vector_store": {"class_prefix": index_name}}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.BAIDU:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": VectorType.BAIDU,
"vector_store": {"class_prefix": collection_name},
}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type in lower_colletion_vector_types:
collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower()
else:
raise ValueError(f"Vector store {vector_type} is not supported.")
index_struct_dict = {"type": vector_type, "vector_store": {"class_prefix": collection_name}}
dataset.index_struct = json.dumps(index_struct_dict)
vector = Vector(dataset)
click.echo(f"Migrating dataset {dataset.id}.")

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