"""
Copyright 2025, Zep Software, Inc.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""

import asyncio
import json
import logging
import os
from datetime import datetime, timezone
from logging import INFO

from dotenv import load_dotenv

from graphiti_core import Graphiti
from graphiti_core.embedder.chutes import ChutesEmbedder
from graphiti_core.llm_client.chutes_client import ChutesClient
from graphiti_core.nodes import EpisodeType

#################################################
# CONFIGURATION
#################################################
# Set up logging and environment variables for
# connecting to Neo4j database
#################################################

# Configure logging
logging.basicConfig(
    level=INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
    datefmt='%Y-%m-%d %H:%M:%S',
)
logger = logging.getLogger(__name__)

load_dotenv()

# Neo4j connection parameters
# Make sure Neo4j Desktop is running with a local DBMS started
neo4j_uri = os.environ.get('NEO4J_URI', 'bolt://localhost:7687')
neo4j_user = os.environ.get('NEO4J_USER', 'neo4j')
neo4j_password = os.environ.get('NEO4J_PASSWORD', 'password')
chutes_api_key = os.environ.get('CHUTES_API_TOKEN')

if not neo4j_uri or not neo4j_user or not neo4j_password:
    raise ValueError('NEO4J_URI, NEO4J_USER, and NEO4J_PASSWORD must be set')

if not chutes_api_key:
    raise ValueError('CHUTES_API_TOKEN must be set')


async def main():
    #################################################
    # INITIALIZATION
    #################################################
    # Connect to Neo4j and set up Graphiti indices
    # This is required before using other Graphiti
    # functionality
    #################################################

    # Initialize Graphiti with Neo4j connection and Chutes provider
    graphiti = Graphiti(
        neo4j_uri,
        neo4j_user,
        neo4j_password,
        llm_client=ChutesClient(),
        embedder=ChutesEmbedder(),
    )

    try:
        #################################################
        # ADDING EPISODES
        #################################################
        # Episodes are the primary units of information
        # in Graphiti. They can be text or structured JSON
        # and are automatically processed to extract entities
        # and relationships.
        #################################################

        # Example: Add Episodes
        # Episodes list containing both text and JSON episodes
        episodes = [
            {
                'content': 'Kamala Harris is the Attorney General of California. She was previously '
                'the district attorney for San Francisco.',
                'type': EpisodeType.text,
                'description': 'podcast transcript',
            },
            {
                'content': 'As AG, Harris was in office from January 3, 2011 – January 3, 2017',
                'type': EpisodeType.text,
                'description': 'podcast transcript',
            },
        ]

        # Add episodes to the graph
        for i, episode in enumerate(episodes):
            await graphiti.add_episode(
                name=f'Freakonomics Radio {i}',
                episode_body=episode['content']
                if isinstance(episode['content'], str)
                else json.dumps(episode['content']),
                source=episode['type'],
                source_description=episode['description'],
                reference_time=datetime.now(timezone.utc),
            )
            print(f'Added episode: Freakonomics Radio {i} ({episode["type"].value})')

        #################################################
        # BASIC SEARCH
        #################################################
        # The simplest way to retrieve relationships (edges)
        # from Graphiti is using the search method, which
        # performs a hybrid search combining semantic
        # similarity and BM25 text retrieval.
        #################################################

        # Perform a hybrid search combining semantic similarity and BM25 retrieval
        print("\nSearching for: 'Who was the California Attorney General?'")
        results = await graphiti.search('Who was the California Attorney General?')

        # Print search results
        print('\nSearch Results:')
        for result in results:
            print(f'UUID: {result.uuid}')
            print(f'Fact: {result.fact}')
            if hasattr(result, 'valid_at') and result.valid_at:
                print(f'Valid from: {result.valid_at}')
            if hasattr(result, 'invalid_at') and result.invalid_at:
                print(f'Valid until: {result.invalid_at}')
            print('---')

    finally:
        #################################################
        # CLEANUP
        #################################################
        # Always close the connection to Neo4j when
        # finished to properly release resources
        #################################################

        # Close the connection
        await graphiti.close()
        print('\nConnection closed')


if __name__ == '__main__':
    asyncio.run(main())