import requests
from neo4j import GraphDatabase
from tqdm import tqdm
import csv  # Added for CSV handling

# ==== CONFIG ====

NEO4J_URI = "bolt://1.1.1.1:7687"
NEO4J_USER = "neo4j"
NEO4J_PASSWORD = "your_password"
CSV_FILENAME = "movie_embeddings.csv"  # Output CSV file name

OLLAMA_EMBEDDING_MODEL = "nomic-embed-text:v1.5"
OLLAMA_ENDPOINT = "http://localhost:11434/api/embeddings"

# ==== FUNCTIONS ====

def get_movies(driver):
    with driver.session() as session:
        result = session.run("MATCH (m:Movie) RETURN m.movieId AS movieId, m.plot AS plot")
        return [(record["movieId"], record["plot"]) for record in result if record["plot"]]

def get_embedding(text):
    response = requests.post(OLLAMA_ENDPOINT, json={
        "model": OLLAMA_EMBEDDING_MODEL,
        "prompt": text  # Fixed typo: "prompt" instead of "prompt"
    })
    response.raise_for_status()
    return response.json()["embedding"]

# ==== MAIN ====

def main():
    driver = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USER, NEO4J_PASSWORD))

    print("Fetching movie plots from Neo4j...")
    movies = get_movies(driver)

    print(f"Embedding {len(movies)} plots with Ollama model `{OLLAMA_EMBEDDING_MODEL}`...")
    print(f"Results will be saved to {CSV_FILENAME}")

    # Open CSV file for writing
    with open(CSV_FILENAME, 'w', newline='') as csvfile:
        csv_writer = csv.writer(csvfile)
        csv_writer.writerow(['movieId', 'embedding'])  # Write header
        
        for movie_id, plot in tqdm(movies):
            try:
                embedding = get_embedding(plot)
                # Format embedding as string with brackets and commas
                embedding_str = "[" + ",".join(map(str, embedding)) + "]"
                csv_writer.writerow([movie_id, embedding_str])
            except Exception as e:
                print(f"Failed for movieId={movie_id}: {e}")

    driver.close()
    print("Embedding export complete!")

if __name__ == "__main__":
    main()