agrodigital-io 0.1.2

Python SDK for agrodigital.io.

AgroDigital Python SDK

A modern, easy-to-use Python SDK for interacting with the agrodigital.io API. This library provides a high-level interface to manage agricultural entities, IoT data, meteorological stations, and satellite imagery analysis.

Features

• Entity Management: CRUD operations for Farms, Fields, Polygons, and Crops.
• Monitoring & Data: Specialized access to Raster imagery, indexes, and Google Earth Engine clusters.
• IoT & Meteo: Seamless integration with IoT stations and meteorological data.
• Operations Logs: Track sowing, applications, and logs.
• Scouting: Manage bugs, weeds, and diseases via waypoints.
• Object-Oriented: All API responses are converted into Python objects with dot-notation access.

Installation

You can install the SDK via pip:

pip install agrodigital_io

Or using poetry:

poetry add agrodigital_io

Quick Start

Authentication

To begin, initialize the AgroDigitalClient using either your API token or your username and password.

from agrodigital_io import AgroDigitalClient

# Option 1: Using an API Token
client = AgroDigitalClient(token="your_api_token_here")

# Option 2: Using Credentials
client = AgroDigitalClient(username="your_username", password="your_password")

Basic Operations

List all farms

farms = client.farms.list()
for farm in farms:
    print(f"Farm: {farm.name} (ID: {farm.id})")

Get field data

field = client.fields.retrieve(id=123)
print(f"Field name: {field.name}")
print(f"Associated crop: {field.crop.name}") # Nested objects supported

Fetch IoT Data

# Get data from a specific station between dates
data = client.iot_data.list_data(
    station_id=45, 
    from_date="2023-01-01", 
    to_date="2023-01-07",
    variables=["temperature", "humidity"]
)

Advanced Usage

Raster and Imagery

Access satellite imagery metadata and available dates for specific polygons.

dates = client.rasters.available_dates()
print(f"Available imagery dates: {dates}")

Cluster Retrieval

Fetch Google Earth Engine or local clusters for a specific polygon and date range.

clusters = client.cluster.ee_retrieve(
    from_date="2023-01-01",
    to_date="2023-12-31",
    polygon_id="poly_88",
    n_clusters=5
)

Error Handling

The SDK raises AgroDigitalError for API-related issues, including connection timeouts and non-200 status codes.

from agrodigital_io import AgroDigitalError

try:
    client.fields.retrieve(999999)
except AgroDigitalError as e:
    print(f"Error: {e.message}")
    print(f"Status Code: {e.status_code}")

Requirements

• Python >= 3.10
• requests library

License

This project is licensed under the MIT License. See the LICENSE file for details.