serendipityai

import weaviate
from weaviate.classes.init import Auth
from weaviate.classes.config import Configure

# Replace with your Weaviate Cloud credentials
weaviate_url = "https://your-weaviate-url"  # Your Weaviate URL
weaviate_key = "your-api-key"  # Your Weaviate API key

# Connect to Weaviate
client = weaviate.connect_to_weaviate_cloud(
    cluster_url=weaviate_url,
    auth_credentials=Auth.api_key(weaviate_key)
)

# Create a collection for storing person profiles
def create_collection():
    client.collections.create(
        "PersonProfile",
        vectorizer_config=[
            Configure.NamedVectors.text2vec_weaviate(
                name="description_vector",
                source_properties=["description"]
            )
        ]
    )
    print("Collection 'PersonProfile' created.")

# Insert person data into the collection
def insert_person_data(profile_link, description, username, joined_date, hosted, attended, social_links):
    data_object = {
        "profile_link": profile_link,
        "description": description,
        "username": username,
        "joined_date": joined_date,
        "hosted": hosted,
        "attended": attended,
        "social_links": social_links
    }
    
    client.data_object.create(data_object, "PersonProfile")
    print(f"Data for {username} inserted.")

# Example usage
if __name__ == "__main__":
    create_collection()
    
    # Example person data
    profile_link = "https://lu.ma/user/itsajchan"
    description = "Yo, let’s build epic stuff together!"
    username = "Adam Chan @itsajchan"
    joined_date = "August 2023"
    hosted = 22
    attended = 51
    social_links = {
        "twitter": "https://x.com/itsajchan",
        "linkedin": "https://linkedin.com/in/itsajchan",
        "youtube": "https://youtube.com/@itsajchan"
    }

    insert_person_data(profile_link, description, username, joined_date, hosted, attended, social_links)

# Close the client connection
client.close()