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from qdrant_client import QdrantClient
from qdrant_client.http import models
from dotenv import load_dotenv
import os
# Load environment variables
load_dotenv()
# Initialize Qdrant client
qdrant_api_key = os.getenv("QDRANT_API_KEY")
qdrant_client = QdrantClient(
url="https://9266da83-dbfe-48d6-b2d8-cdf101299284.europe-west3-0.gcp.cloud.qdrant.io",
api_key=qdrant_api_key
)
# Define your collection name
COLLECTION_NAME = "ai_info_collection"
try:
# Delete all points in the collection
qdrant_client.delete(
collection_name=COLLECTION_NAME,
points_selector=models.FilterSelector(filter=models.Filter())
)
print(f"All points in collection '{COLLECTION_NAME}' have been deleted.")
# Delete processed_docs.json file
processed_docs_path = os.path.join(os.path.dirname(__file__), 'processed_docs.json')
if os.path.exists(processed_docs_path):
os.remove(processed_docs_path)
print("processed_docs.json has been deleted.")
else:
print("processed_docs.json does not exist.")
except Exception as e:
print(f"An error occurred: {e}")
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