multimodal-communication 0.5.1

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Multimodal Communication

multimodal_communication provides utilities for sending text messages through email-to-SMS gateways and managing files in Google Cloud Storage. This package is designed to simplify communication and data management across different platforms.

Features

• SMS Messaging: Send text messages via email-to-SMS gateways (supports multiple carriers)
• Asynchronous Support: Utilizes asyncio for non-blocking message sending
• Batch Messaging: Send messages to multiple recipients simultaneously
• Google Cloud Storage: Easy file upload, download, and deletion operations
• Multiple Data Format Support: Work with CSV, JSON, and pickled objects

Components

SMS Messaging Module

This module allows you to send text messages through email-to-SMS gateways, supporting various carriers including Verizon, T-Mobile, Sprint, AT&T, and more.

from multimodal_communication.python_texting import send_text_message

# Send a simple text message
send_text_message(
    message="Hello from Python!",
    subject="Notification",
    phone_number="1234567890",
    carrier="tmobile",
    email="[e-mail]",
    email_password="your-app-password"
)

CloudHelper

The CloudHelper class provides an interface for interacting with Google Cloud Storage:

from multimodal_communication.cloud_functions import CloudHelper

# Upload a local file to Google Cloud Storage
cloud = CloudHelper(path="path/to/local/file.csv")
cloud.upload_to_cloud(bucket_name="my-bucket", file_name="cloud-file.csv")

# Upload an object from memory
import pandas as pd
df = pd.DataFrame({"col1": [1, 2], "col2": [3, 4]})
cloud = CloudHelper(obj=df)
cloud.upload_to_cloud(bucket_name="my-bucket", file_name="dataframe.csv")

# Download a file from Google Cloud Storage
cloud = CloudHelper()
df = cloud.download_from_cloud("my-bucket/path/to/file.csv")

# Delete a file from Google Cloud Storage
cloud = CloudHelper()
cloud.delete_from_cloud(bucket_name="my-bucket", file_name="file-to-delete.csv")

Installation (with local project download)

pip install . -e

Requirements

• Python 3.6+
• pandas
• google-cloud-storage
• aiosmtplib

Setup

Google Cloud Authentication

To use the CloudHelper class:

1. Set up Application Default Credentials (ADC) as described in the Google Cloud documentation
2. Ensure your user account or service account has the required permissions (e.g., "storage.buckets.list")

Gmail Authentication for SMS

To use the SMS messaging functionality with Gmail:

1. Create an App Password for your Google account (if you have 2FA enabled)
2. Or enable "Less secure app access" (not recommended for production)

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.