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import datetime | |
import subprocess | |
from qdrant_client import QdrantClient, models | |
import os | |
class QdrantClientInitializer: | |
def __init__(self): | |
pass | |
def run_docker(self): | |
# Define the Docker command | |
docker_command = [ | |
"docker run -d -p 6333:6333 -p 6334:6334 \ | |
-v $(pwd)/qdrant_storage:/qdrant/storage:z \ | |
qdrant/qdrant" | |
] | |
# Run the Docker command | |
subprocess.run(docker_command, shell=True) | |
print("Docker container is running in the background.") | |
def initialize_db(self): | |
client = QdrantClient( | |
url=os.getenv('qdrant_url'), | |
api_key=os.getenv('qdrant_api'), timeout=20) | |
# client = QdrantClient(url="http://localhost:6333", timeout=1200, grpc_port=6333) | |
return client | |
def create_collection(self, client, collection_name, vector_size=4096, distance=models.Distance.COSINE): | |
if client.collection_exists(collection_name=collection_name): | |
print("{name} is exist!".format(name=collection_name)) | |
else: | |
print("Name is not exist!") | |
client.create_collection(collection_name=collection_name, | |
vectors_config=models.VectorParams(size=vector_size, | |
distance=distance, | |
) | |
) |