morphik-core/quick_setup.py

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import botocore
from dotenv import load_dotenv, find_dotenv
import os
import boto3
import logging
import tomli # for reading toml files
from pathlib import Path
from pymongo import MongoClient
from pymongo.errors import ConnectionFailure, OperationFailure
from pymongo.operations import SearchIndexModel
import argparse
# Force reload of environment variables
load_dotenv(find_dotenv(), override=True)
# Set up argument parser
parser = argparse.ArgumentParser(description="Setup S3 bucket and MongoDB collections")
parser.add_argument("--debug", action="store_true", help="Enable debug logging")
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parser.add_argument("--quiet", action="store_true", help="Only show warning and error logs")
args = parser.parse_args()
# Configure logging based on command line arguments
LOGGER = logging.getLogger(__name__)
if args.debug:
LOGGER.setLevel(logging.DEBUG)
elif args.quiet:
LOGGER.setLevel(logging.WARNING)
else:
LOGGER.setLevel(logging.INFO)
# Add console handler with formatting
console_handler = logging.StreamHandler()
formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
console_handler.setFormatter(formatter)
LOGGER.addHandler(console_handler)
# Load configuration from config.toml
config_path = Path("config.toml")
with open(config_path, "rb") as f:
CONFIG = tomli.load(f)
LOGGER.info("Loaded configuration from config.toml")
# Extract configuration values
STORAGE_PROVIDER = CONFIG["service"]["components"]["storage"]
DATABASE_NAME = CONFIG["database"]["mongodb"]["database_name"]
DOCUMENTS_COLLECTION = CONFIG["database"]["mongodb"]["documents_collection"]
CHUNKS_COLLECTION = CONFIG["database"]["mongodb"]["chunks_collection"]
VECTOR_DIMENSIONS = CONFIG["vector_store"]["mongodb"]["dimensions"]
VECTOR_INDEX_NAME = CONFIG["vector_store"]["mongodb"]["index_name"]
SIMILARITY_METRIC = CONFIG["vector_store"]["mongodb"]["similarity_metric"]
# Extract storage-specific configuration
DEFAULT_REGION = CONFIG["storage"]["aws"]["region"] if STORAGE_PROVIDER == "aws-s3" else None
DEFAULT_BUCKET_NAME = (
CONFIG["storage"]["aws"]["bucket_name"] if STORAGE_PROVIDER == "aws-s3" else None
)
def create_s3_bucket(bucket_name, region=DEFAULT_REGION):
"""Set up S3 bucket."""
# Clear any existing AWS credentials from environment
boto3.Session().resource("s3").meta.client.close()
aws_access_key = os.getenv("AWS_ACCESS_KEY")
aws_secret_key = os.getenv("AWS_SECRET_ACCESS_KEY")
region = os.getenv("AWS_REGION") if os.getenv("AWS_REGION") else region
if not aws_access_key or not aws_secret_key:
LOGGER.error("AWS credentials not found in environment variables.")
return
LOGGER.debug("Successfully retrieved AWS credentials and region.")
# Create new session with explicit credentials
session = boto3.Session(
aws_access_key_id=aws_access_key,
aws_secret_access_key=aws_secret_key,
region_name=region,
)
s3_client = session.client("s3")
LOGGER.debug("Successfully created S3 client.")
if bucket_exists(s3_client, bucket_name):
LOGGER.info(f"Bucket with name {bucket_name} already exists")
return
if region == "us-east-1":
s3_client.create_bucket(Bucket=bucket_name)
else:
s3_client.create_bucket(
Bucket=bucket_name, CreateBucketConfiguration={"LocationConstraint": region}
)
LOGGER.debug(f"Bucket {bucket_name} created successfully in {region} region.")
def bucket_exists(s3_client, bucket_name):
"""Check if an S3 bucket exists."""
try:
s3_client.head_bucket(Bucket=bucket_name)
return True
except botocore.exceptions.ClientError as e:
error_code = int(e.response["Error"]["Code"])
if error_code == 404:
return False
raise
def setup_mongodb():
"""
Set up MongoDB database, documents collection, and vector index on documents_chunk collection.
"""
# Load MongoDB URI from .env file
mongo_uri = os.getenv("MONGODB_URI")
if not mongo_uri:
raise ValueError("MONGODB_URI not found in .env file.")
try:
# Connect to MongoDB
client = MongoClient(mongo_uri)
client.admin.command("ping") # Check connection
LOGGER.info("Connected to MongoDB successfully.")
# Create or access the database
db = client[DATABASE_NAME]
LOGGER.info(f"Database '{DATABASE_NAME}' ready.")
# Create 'documents' collection
if DOCUMENTS_COLLECTION not in db.list_collection_names():
db.create_collection(DOCUMENTS_COLLECTION)
LOGGER.info(f"Collection '{DOCUMENTS_COLLECTION}' created.")
else:
LOGGER.info(f"Collection '{DOCUMENTS_COLLECTION}' already exists.")
# Create 'documents_chunk' collection with vector index
if CHUNKS_COLLECTION not in db.list_collection_names():
db.create_collection(CHUNKS_COLLECTION)
LOGGER.info(f"Collection '{CHUNKS_COLLECTION}' created.")
else:
LOGGER.info(f"Collection '{CHUNKS_COLLECTION}' already exists.")
vector_index_definition = {
"fields": [
{
"numDimensions": VECTOR_DIMENSIONS,
"path": "embedding",
"similarity": SIMILARITY_METRIC,
"type": "vector",
},
{"path": "document_id", "type": "filter"},
]
}
vector_index = SearchIndexModel(
name=VECTOR_INDEX_NAME,
definition=vector_index_definition,
type="vectorSearch",
)
db[CHUNKS_COLLECTION].create_search_index(model=vector_index)
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LOGGER.info("Vector index 'vector_index' created on 'documents_chunk' collection.")
except ConnectionFailure:
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LOGGER.error("Failed to connect to MongoDB. Check your MongoDB URI and network connection.")
except OperationFailure as e:
LOGGER.error(f"MongoDB operation failed: {e}")
except Exception as e:
LOGGER.error(f"Unexpected error: {e}")
finally:
client.close()
LOGGER.info("MongoDB connection closed.")
def setup():
# Setup S3 if configured
if STORAGE_PROVIDER == "aws-s3":
LOGGER.info("Setting up S3 bucket...")
create_s3_bucket(DEFAULT_BUCKET_NAME, DEFAULT_REGION)
LOGGER.info("S3 bucket setup completed.")
LOGGER.info("Setting up MongoDB...")
setup_mongodb()
LOGGER.info("MongoDB setup completed.")
LOGGER.info("Setup completed successfully. Feel free to start the server now!")
if __name__ == "__main__":
setup()