Panversal-ChromaDB-client-integration.py

"""
Universal ChromaDB Integration Template

This script is a comprehensive guide for integrating ChromaDB with various document sources and credential management options. 
It is designed to cater to users with varying levels of coding experience. Below is a schema representing the general structure 
of this template:

1. Import necessary libraries and load the ChromaDB Client.
2. Create or access a ChromaDB collection.
3. Initialize lists to store documents, metadatas, and ids.
4. Fetch documents from desired sources (Local Files, Google Drive, OneDrive, Dropbox, iCloud, Web, Databases).
5. Add documents to the collection.
6. Optionally query the collection to test the integration.

Each data source section includes optional alternatives for credential management using .env files or Key Vault Managers like 
Google Vault, AWS Key Management Services, Azure Key Vault, Hashicorp Vault, etc. Uncomment and configure the section(s) that 
align with your requirements.

Before proceeding, ensure you have installed and imported the necessary packages:
- chromadb
- os
- dotenv (for .env approach)
- The respective libraries if you're utilizing the Key-Vault Manager approach
- Other libraries as needed based on your document sources and credential management choices

The current structure of the script allows for pulling data from multiple sources simultaneously, as long as the corresponding 
sections are uncommented and properly configured. Each section is independent, so you can activate as many or as few as needed 
for your use case. The script will iterate through each enabled section, fetching and appending documents, metadatas, and ids 
to their respective lists before adding them all to the ChromaDB collection at once.

Incorporating Key Vault Managers can enhance security by managing sensitive information like credentials and API keys. Below is 
a version of the script that includes a generic template for integrating Key Vault Managers. You would need to install 
and import the respective libraries for the Key Vault Manager you choose to use and configure the access according to the 
service's API.

This template also includes sections for OneDrive, Dropbox, Apple's iCloud, and a generic SQL database. Each section requires 
setup specific to the service, such as API keys, access tokens, client IDs, and authentication credentials. These details are 
often found in the respective service's API documentation.

Please note that for Apple's iCloud, accessing documents programmatically may be more complex due to Apple's security measures, 
and it may require additional steps not covered in this template.
"""

# Instructional section for the USER
# Here, you would provide detailed instructions about the script's intentions, usage, and how to configure each section. This should include the example schema and discussions on key management options.

import chromadb
import os

# Load the environment variables from the .env file (if using .env approach)
from dotenv import load_dotenv

# Import additional libraries as needed based on your document source and key management strategy

# Load your ChromaDB Client
chroma_client = chromadb.Client()

# Create or access your collection
collection_name = "your_collection_name"  # Replace with your actual collection name
try:
    collection = chroma_client.create_collection(name=collection_name)
except:
    collection = chroma_client.get_collection(name=collection_name)

# Initialize lists to store documents, metadatas, and ids
documents = []
metadatas = []
ids = []

# Credential Management Options

# This template includes placeholders for integrating various Key Vault Managers. 
# Replace these with the actual implementation details specific to your chosen 
# Key Vault Manager. Each Key Vault Manager has its own methods for accessing 
# and retrieving secrets, so you'll need to refer to their respective documentation 
# for precise implementation details.

# ---------------------------
# .env file approach
# ---------------------------
# from dotenv import load_dotenv
# load_dotenv()
# example_variable = os.getenv('EXAMPLE_VARIABLE')

# ---------------------------
# Key Vault Managers (Generic Template)
# ---------------------------
# Replace with specific Key Vault Manager implementation
# For Google Vault:
# from google.cloud import secretmanager
# client = secretmanager.SecretManagerServiceClient()
# secret_name = f"projects/{project_id}/secrets/{secret_id}/versions/latest"
# response = client.access_secret_version(request={"name": secret_name})
# secret_value = response.payload.data.decode('UTF-8')

# For AWS Key Management Service:
# import boto3
# client = boto3.client('kms')
# response = client.decrypt(CiphertextBlob=b'encrypted_blob')
# secret_value = response['Plaintext']

# For Azure Key Vault:
# from azure.keyvault.secrets import SecretClient
# from azure.identity import DefaultAzureCredential
# credential = DefaultAzureCredential()
# client = SecretClient(vault_url="https://your-vault-name.vault.azure.net/", credential=credential)
# secret_value = client.get_secret("your-secret-name").value

# For Hashicorp Vault:
# import hvac
# client = hvac.Client(url='https://your.vault.server:8200')
# client.auth.approle.login(role_id='your_role_id', secret_id='your_secret_id')
# secret_value = client.secrets.kv.v2.read_secret_version(path='your/secret/path')['data']['data']['your_key']

# Uncomment and configure the sections as needed based on your document source and key management strategy

# Document source and credential management options
# ---------------------------
# Local Files
# ---------------------------
# directory_path = "path_to_your_documents"  # Replace with the path to your documents
# for filename in os.listdir(directory_path):
#     if filename.endswith(".txt"):  # or .pdf, .docx, etc. based on your files
#         file_path = os.path.join(directory_path, filename)
#         # Open and read the file content
#         with open(file_path, 'r') as file:
#             content = file.read()
#         documents.append(content)
#         metadatas.append({"filename": filename})  # Add any other metadata you might have
#         ids.append(filename)  # Or any other unique identifier

# ---------------------------
# Google Drive (requires setup)
# ---------------------------
# from googleapiclient.discovery import build
# from google.oauth2.credentials import Credentials
# creds = Credentials.from_authorized_user_file(os.getenv('GOOGLE_TOKEN_JSON'))  # Replace with your credentials file or use .env
# service = build('drive', 'v3', credentials=creds)
# # Call the Drive v3 API
# results = service.files().list(pageSize=10, fields="nextPageToken, files(id, name)").execute()
# items = results.get('files', [])
# if not items:
#     print('No files found.')
# else:
#     for item in items:
#         # Download and read file content
#         request = service.files().get_media(fileId=item['id'])
#         content = request.execute()
#         documents.append(content)
#         metadatas.append({"google_drive_id": item['id']})
#         ids.append(item['id'])

# ---------------------------
# Fetch from Web
# ---------------------------
# import requests
# urls = ["http://example.com/document1", "http://example.com/document2"]  # Replace with your document URLs
# for url in urls:
#     response = requests.get(url)
#     documents.append(response.text)
#     metadatas.append({"url": url})
#     ids.append(url)  # Or any other unique identifier

# ---------------------------
# OneDrive (requires setup)
# ---------------------------
# from onedrivesdk import HttpProvider, AuthProvider, OneDriveClient
# http_provider = HttpProvider()  # Initialize your HttpProvider
# client_id = os.getenv('ONEDRIVE_CLIENT_ID')  # Replace with your client ID or use .env
# scopes = ['wl.signin', 'wl.offline_access', 'onedrive.readwrite']  # Define your scopes
# auth_provider = AuthProvider(http_provider, client_id, scopes)
# client = OneDriveClient(os.getenv('ONEDRIVE_API_BASE_URL'), auth_provider, http_provider)  # Replace with your API base URL or use .env
# items = client.item(drive='me', id='root').children.get()
# for item in items:
#     # Download and read file content
#     content = client.item(drive='me', id=item.id).content.request().get()
#     documents.append(content)
#     metadatas.append({"onedrive_id": item.id})
#     ids.append(item.id)

# ---------------------------
# Dropbox (requires setup)
# ---------------------------
# import dropbox
# dbx = dropbox.Dropbox(os.getenv('DROPBOX_ACCESS_TOKEN'))  # Replace with your access token or use .env
# for entry in dbx.files_list_folder('').entries:
#     # Download and read file content
#     metadata, res = dbx.files_download('/' + entry.name)
#     content = res.content
#     documents.append(content)
#     metadatas.append({"dropbox_id": metadata.id})
#     ids.append(metadata.id)

# ---------------------------
# Apple's iCloud (requires setup)
# ---------------------------
# from pyicloud import PyiCloudService
# icloud = PyiCloudService(os.getenv('APPLE_ID'), os.getenv('ICLOUD_PASSWORD'))  # Replace with your credentials or use .env
# for file in icloud.drive['Documents']:
#     # Download and read file content
#     content = file.open(stream=True).content
#     documents.append(content)
#     metadatas.append({"icloud_id": file.id})
#     ids.append(file.id)

# ---------------------------
# Database (generic SQL)
# ---------------------------
# import psycopg2
# connection = psycopg2.connect(user=os.getenv('DB_USER'), password=os.getenv('DB_PASSWORD'), host=os.getenv('DB_HOST'), port=os.getenv('DB_PORT'), database=os.getenv('DB_NAME'))  # Replace with your credentials or use .env
# cursor = connection.cursor()
# cursor.execute("SELECT document_content, document_id, document_metadata FROM your_table")
# records = cursor.fetchall()
# for record in records:
#     documents.append(record[0])
#     metadatas.append({"source": "your_database", "additional_metadata": record[2]})
#     ids.append(record[1])

# Add documents to the collection
collection.add(
    documents=documents,
    metadatas=metadatas,
    ids=ids
)

# Query the collection (optional, for testing)
results = collection.query(
    query_texts=["This is a query document"],
    n_results=2
)
print(results)