mirror of
https://github.com/open-webui/open-webui
synced 2024-12-26 13:52:25 +00:00
287 lines
9.8 KiB
Python
287 lines
9.8 KiB
Python
from pymilvus import MilvusClient as Client
|
|
from pymilvus import FieldSchema, DataType
|
|
import json
|
|
|
|
from typing import Optional
|
|
|
|
from open_webui.apps.retrieval.vector.main import VectorItem, SearchResult, GetResult
|
|
from open_webui.config import (
|
|
MILVUS_URI,
|
|
)
|
|
|
|
|
|
class MilvusClient:
|
|
def __init__(self):
|
|
self.collection_prefix = "open_webui"
|
|
self.client = Client(uri=MILVUS_URI)
|
|
|
|
def _result_to_get_result(self, result) -> GetResult:
|
|
ids = []
|
|
documents = []
|
|
metadatas = []
|
|
|
|
for match in result:
|
|
_ids = []
|
|
_documents = []
|
|
_metadatas = []
|
|
for item in match:
|
|
_ids.append(item.get("id"))
|
|
_documents.append(item.get("data", {}).get("text"))
|
|
_metadatas.append(item.get("metadata"))
|
|
|
|
ids.append(_ids)
|
|
documents.append(_documents)
|
|
metadatas.append(_metadatas)
|
|
|
|
return GetResult(
|
|
**{
|
|
"ids": ids,
|
|
"documents": documents,
|
|
"metadatas": metadatas,
|
|
}
|
|
)
|
|
|
|
def _result_to_search_result(self, result) -> SearchResult:
|
|
ids = []
|
|
distances = []
|
|
documents = []
|
|
metadatas = []
|
|
|
|
for match in result:
|
|
_ids = []
|
|
_distances = []
|
|
_documents = []
|
|
_metadatas = []
|
|
|
|
for item in match:
|
|
_ids.append(item.get("id"))
|
|
_distances.append(item.get("distance"))
|
|
_documents.append(item.get("entity", {}).get("data", {}).get("text"))
|
|
_metadatas.append(item.get("entity", {}).get("metadata"))
|
|
|
|
ids.append(_ids)
|
|
distances.append(_distances)
|
|
documents.append(_documents)
|
|
metadatas.append(_metadatas)
|
|
|
|
return SearchResult(
|
|
**{
|
|
"ids": ids,
|
|
"distances": distances,
|
|
"documents": documents,
|
|
"metadatas": metadatas,
|
|
}
|
|
)
|
|
|
|
def _create_collection(self, collection_name: str, dimension: int):
|
|
schema = self.client.create_schema(
|
|
auto_id=False,
|
|
enable_dynamic_field=True,
|
|
)
|
|
schema.add_field(
|
|
field_name="id",
|
|
datatype=DataType.VARCHAR,
|
|
is_primary=True,
|
|
max_length=65535,
|
|
)
|
|
schema.add_field(
|
|
field_name="vector",
|
|
datatype=DataType.FLOAT_VECTOR,
|
|
dim=dimension,
|
|
description="vector",
|
|
)
|
|
schema.add_field(field_name="data", datatype=DataType.JSON, description="data")
|
|
schema.add_field(
|
|
field_name="metadata", datatype=DataType.JSON, description="metadata"
|
|
)
|
|
|
|
index_params = self.client.prepare_index_params()
|
|
index_params.add_index(
|
|
field_name="vector",
|
|
index_type="HNSW",
|
|
metric_type="COSINE",
|
|
params={"M": 16, "efConstruction": 100},
|
|
)
|
|
|
|
self.client.create_collection(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}",
|
|
schema=schema,
|
|
index_params=index_params,
|
|
)
|
|
|
|
def has_collection(self, collection_name: str) -> bool:
|
|
# Check if the collection exists based on the collection name.
|
|
collection_name = collection_name.replace("-", "_")
|
|
return self.client.has_collection(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}"
|
|
)
|
|
|
|
def delete_collection(self, collection_name: str):
|
|
# Delete the collection based on the collection name.
|
|
collection_name = collection_name.replace("-", "_")
|
|
return self.client.drop_collection(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}"
|
|
)
|
|
|
|
def search(
|
|
self, collection_name: str, vectors: list[list[float | int]], limit: int
|
|
) -> Optional[SearchResult]:
|
|
# Search for the nearest neighbor items based on the vectors and return 'limit' number of results.
|
|
collection_name = collection_name.replace("-", "_")
|
|
result = self.client.search(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}",
|
|
data=vectors,
|
|
limit=limit,
|
|
output_fields=["data", "metadata"],
|
|
)
|
|
|
|
return self._result_to_search_result(result)
|
|
|
|
def query(self, collection_name: str, filter: dict, limit: Optional[int] = None):
|
|
# Construct the filter string for querying
|
|
collection_name = collection_name.replace("-", "_")
|
|
if not self.has_collection(collection_name):
|
|
return None
|
|
|
|
filter_string = " && ".join(
|
|
[
|
|
f'metadata["{key}"] == {json.dumps(value)}'
|
|
for key, value in filter.items()
|
|
]
|
|
)
|
|
|
|
max_limit = 16383 # The maximum number of records per request
|
|
all_results = []
|
|
|
|
if limit is None:
|
|
limit = float("inf") # Use infinity as a placeholder for no limit
|
|
|
|
# Initialize offset and remaining to handle pagination
|
|
offset = 0
|
|
remaining = limit
|
|
|
|
try:
|
|
# Loop until there are no more items to fetch or the desired limit is reached
|
|
while remaining > 0:
|
|
print("remaining", remaining)
|
|
current_fetch = min(
|
|
max_limit, remaining
|
|
) # Determine how many items to fetch in this iteration
|
|
|
|
results = self.client.query(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}",
|
|
filter=filter_string,
|
|
output_fields=["*"],
|
|
limit=current_fetch,
|
|
offset=offset,
|
|
)
|
|
|
|
if not results:
|
|
break
|
|
|
|
all_results.extend(results)
|
|
results_count = len(results)
|
|
remaining -= (
|
|
results_count # Decrease remaining by the number of items fetched
|
|
)
|
|
offset += results_count
|
|
|
|
# Break the loop if the results returned are less than the requested fetch count
|
|
if results_count < current_fetch:
|
|
break
|
|
|
|
print(all_results)
|
|
return self._result_to_get_result([all_results])
|
|
except Exception as e:
|
|
print(e)
|
|
return None
|
|
|
|
def get(self, collection_name: str) -> Optional[GetResult]:
|
|
# Get all the items in the collection.
|
|
collection_name = collection_name.replace("-", "_")
|
|
result = self.client.query(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}",
|
|
filter='id != ""',
|
|
)
|
|
return self._result_to_get_result([result])
|
|
|
|
def insert(self, collection_name: str, items: list[VectorItem]):
|
|
# Insert the items into the collection, if the collection does not exist, it will be created.
|
|
collection_name = collection_name.replace("-", "_")
|
|
if not self.client.has_collection(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}"
|
|
):
|
|
self._create_collection(
|
|
collection_name=collection_name, dimension=len(items[0]["vector"])
|
|
)
|
|
|
|
return self.client.insert(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}",
|
|
data=[
|
|
{
|
|
"id": item["id"],
|
|
"vector": item["vector"],
|
|
"data": {"text": item["text"]},
|
|
"metadata": item["metadata"],
|
|
}
|
|
for item in items
|
|
],
|
|
)
|
|
|
|
def upsert(self, collection_name: str, items: list[VectorItem]):
|
|
# Update the items in the collection, if the items are not present, insert them. If the collection does not exist, it will be created.
|
|
collection_name = collection_name.replace("-", "_")
|
|
if not self.client.has_collection(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}"
|
|
):
|
|
self._create_collection(
|
|
collection_name=collection_name, dimension=len(items[0]["vector"])
|
|
)
|
|
|
|
return self.client.upsert(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}",
|
|
data=[
|
|
{
|
|
"id": item["id"],
|
|
"vector": item["vector"],
|
|
"data": {"text": item["text"]},
|
|
"metadata": item["metadata"],
|
|
}
|
|
for item in items
|
|
],
|
|
)
|
|
|
|
def delete(
|
|
self,
|
|
collection_name: str,
|
|
ids: Optional[list[str]] = None,
|
|
filter: Optional[dict] = None,
|
|
):
|
|
# Delete the items from the collection based on the ids.
|
|
collection_name = collection_name.replace("-", "_")
|
|
if ids:
|
|
return self.client.delete(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}",
|
|
ids=ids,
|
|
)
|
|
elif filter:
|
|
# Convert the filter dictionary to a string using JSON_CONTAINS.
|
|
filter_string = " && ".join(
|
|
[
|
|
f'metadata["{key}"] == {json.dumps(value)}'
|
|
for key, value in filter.items()
|
|
]
|
|
)
|
|
|
|
return self.client.delete(
|
|
collection_name=f"{self.collection_prefix}_{collection_name}",
|
|
filter=filter_string,
|
|
)
|
|
|
|
def reset(self):
|
|
# Resets the database. This will delete all collections and item entries.
|
|
collection_names = self.client.list_collections()
|
|
for collection_name in collection_names:
|
|
if collection_name.startswith(self.collection_prefix):
|
|
self.client.drop_collection(collection_name=collection_name)
|