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A client library for IoT projects in the RCER initiative

Project description

SAVIIA Library

Sistema de Administración y Visualización de Información para la Investigación y Análisis

GitHub release (latest by date)

Table of Contents

Installation

This library is designed for use with the SAVIIA Home Assistant Integration. It provides an API to retrieve files from a THIES Data Logger via an FTP server and upload them to a Microsoft SharePoint folder using the SharePoint REST API.

pip install saviialib

Saviia API Client Usage

Initialize the Saviia API Client

Import the necessary classes from the library.

from saviialib import SaviiaAPI, SaviiaAPIConfig

To start using the library, you need to create an SaviiaAPI client instance with its configuration class SaviiaAPIConfig. Provide the required parameters such as FTP server details and SharePoint credentials:

config = SaviiaAPIConfig(
    ftp_port=FTP_PORT,
    ftp_host=FTP_HOST,
    ftp_user=FTP_USER,
    ftp_password=FTP_PASSWORD,
    sharepoint_client_id=SHAREPOINT_CLIENT_ID,
    sharepoint_client_secret=SHAREPOINT_CLIENT_SECRET,
    sharepoint_tenant_id=SHAREPOINT_TENANT_ID,
    sharepoint_tenant_name=SHAREPOINT_TENANT_NAME,
    sharepoint_site_name=SHAREPOINT_SITE_NAME
)
api_client = SaviiaAPI(config)

Notes:

  • Store sensitive data like FTP_PASSWORD, FTP_USER, and SharePoint credentials securely. Use environment variables or a secrets management tool to avoid hardcoding sensitive information in your codebase.

Access THIES Data Logger Services

To interact with the THIES Data Logger services, you can access the thies attribute of the SaviiaAPI instance:

thies_service = api_client.get('thies')

This instance provides methods to interact with the THIES Data Logger. Currently, it includes the main method for extracting files from the FTP server and uploading them to SharePoint.

THIES files extraction and synchronization

The library provides a method to extract and synchronize THIES Data Logger files with the Microsoft SharePoint client. This method downloads files from the FTP server and uploads them to the specified SharePoint folder:

import asyncio
async def main():
    # Before calling this method, you must have initialised the THIES service class ...
    response = await thies_service.update_thies_data()
    return response

asyncio.run(main())

Access Backup Services

To interact with the Backup services, you can access the backup attribute of the SaviiaAPI instance:

backup_service = api_client.get('backup')

This instance provides methods to interact with the Backup services. Currently, it includes the main method for creating backups of specified directories in a local folder from Home Assistant environment. Then each backup file is uploaded to a Microsoft SharePoint folder.

Create Backup

The library provides a method which creates a backup of a specified directory in a local folder from Home Assistant environment. Then each backup file is uploaded to a Microsoft SharePoint folder:

import asyncio
async def main():
    # Before calling this method, you must have initialised the Backup service class ...
    response = await backup_service.upload_backup_to_sharepoint(
        local_backup_path=LOCAL_BACKUP_PATH,
        sharepoint_folder_path=SHAREPOINT_FOLDER_PATH
    )
    return response
asyncio.run(main())

Notes:

  • Ensure that the local_backup_path exists and contains the files you want to back up. It is a relative path from the Home Assistant configuration directory.
  • The sharepoint_folder_path should be the path to the folder in SharePoint where you want to upload the backup files. For example, if your url is https://yourtenant.sharepoint.com/sites/yoursite/Shared Documents/Backups, the folder path would be sites/yoursite/Shared Documents/Backups.

Access Netcamera Services

The Netcamera service provides camera capture rate configuration based on meteorological data such as precipitation and precipitation probability.

This service uses the Weather Client library, currently implemented with OpenMeteo, and is designed to be extensible for future weather providers.

netcamera_service = api_client.get("netcamera")

Get Camera Rates

Returns photo and video capture rates for a camera installed at a given geographic location.

import asyncio

async def main():
    lat, lon = 10.511223, 20.123123
    camera_rates = await netcamera_service.get_camera_rates(latitude=lat, longitude=lon)
    return camera_rates
asyncio.run(main())

Example output:

{
    "status": "A",          # B or C
    "photo_rate": number,   # in minutes
    "video_rate": number    # in minutes
}

Description:

  • The capture rate is calculated using meteorological metrics:
    • Precipitation
    • Precipitation probability
  • The resulting configuration determines the camera capture frequency.

Status variable

The status variable is classified based on weather conditions (currently, precipitation and precipitation probability) at the camera's location:

Status 1 photo capture per 1 video capture per
A 12 h 12 h
B 30 min 3 h
C 5 min 1 h

Contributing

If you're interested in contributing to this project, please follow the contributing guidelines. By contributing to this project, you agree to abide by its terms. Contributions are welcome and appreciated!

License

saviialib was created by Pedro Pablo Zavala Tejos. It is licensed under the terms of the MIT license.

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