openepi-client 2.0.0

A python library for interacting with the OpenEPI data

openepi-client

A python client for accessing data from OpenEPI. Can be installed from PyPI on https://pypi.org/project/openepi-client/

Table of Contents

• Weather Data
  • Sync usage
  • Async usage
• Geocoding
  • Sync usage
  • Async usage
• Global Forest Watch
  • Sync usage

Weather

Sync usage

from openepi_client import GeoLocation
from openepi_client.weather import WeatherClient

# Getting the sunrise and sunset times for a location
sunrise_sunset = WeatherClient.get_sunrise(geolocation=GeoLocation(lat=51.5074, lon=0.1278))

# Getting the weather forecast for a location
forecast = WeatherClient.get_location_forecast(geolocation=GeoLocation(lat=51.5074, lon=0.1278, alt=0))

Async usage

from openepi_client import GeoLocation
from openepi_client.weather import AsyncWeatherClient

# Getting the sunrise and sunset times for a location
sunrise_sunset = await AsyncWeatherClient.get_sunrise(geolocation=GeoLocation(lat=51.5074, lon=0.1278))

# Getting the weather forecast for a location
forecast = await AsyncWeatherClient.get_location_forecast(geolocation=GeoLocation(lat=51.5074, lon=0.1278, alt=0))

Geocoding

Sync usage

from openepi_client import GeoLocation
from openepi_client.geocoding import GeocodeClient

# Searching for the coordinates to a named place
feature_collection = GeocodeClient.geocode(q="Kigali, Rwanda")

# Geocode with priority to a lat and lon
feature_collection = GeocodeClient.geocode(q="Kigali, Rwanda", geolocation=GeoLocation(lat=51.5074, lon=0.1278))

# Reverse geocode
feature_collection = GeocodeClient.reverse_geocode(geolocation=GeoLocation(lat=51.5074, lon=0.1278))

Async usage

from openepi_client import GeoLocation
from openepi_client.geocoding import AsyncGeocodeClient

# Searching for coordinates for a location
feature_collection = await AsyncGeocodeClient.geocode(q="Kigali, Rwanda")

# Geocode with priority to a lat and lon
feature_collection = await AsyncGeocodeClient.geocode(q="Kigali, Rwanda", geolocation=GeoLocation(lat=51.5074, lon=0.1278))

# Reverse geocode
feature_collection = await AsyncGeocodeClient.reverse_geocode(geolocation=GeoLocation(lat=51.5074, lon=0.1278))

Global Forest Watch

Sync usage

from openepi_client.global_forest_watch import GlobalForestWatchClient

# Create an account
# Note that after doing this, you must verify your email and set a password before you can use your account
GlobalForestWatchClient().create_account(name="Your Name", email="[e-mail]")

# Create an API key
gfw = GlobalForestWatchClient(email="[e-mail]", password="your secret password")
response = gfw.create_api_key(alias="my-alias", organization="Example org", domains=["example.com"])
print(f"Your API key is: {response.api_key}")

gfw = GlobalForestWatchClient(api_key="your-api-key")

# List datasets
datasets = gfw.list_datasets()

# Get a specific dataset
dataset = gfw.get_dataset(dataset_id="<identifier>")

# Get the latest version of a dataset
latest_version = dataset.get_version(version = dataset.latest_version_id)

# List fields in a dataset version
fields = latest_version.fields()
for field in fields:
    print(fields.description)

# List assets in a dataset version
assets_response = latest_version.assets()

# download all downloadable assets
for asset in assets_response.assets:
    if asset.is_downloadable:
        asset.download(to="<my_download_path>")

Updating the client

The following commands are used to update the client types. The commands are run from the root of the project.

poetry run datamodel-codegen --url https://api.openepi.io/geocoding/openapi.json --output openepi_client/geocoding/_geocoding_types.py --enum-field-as-literal all --output-model-type pydantic_v2.BaseModel --input-file-type "openapi"
poetry run datamodel-codegen --url https://api.openepi.io/flood/openapi.json --output openepi_client/flood/_flood_types.py --enum-field-as-literal all --output-model-type pydantic_v2.BaseModel --input-file-type "openapi"
poetry run datamodel-codegen --url https://api.openepi.io/deforestation/openapi.json --output openepi_client/deforestation/_deforestation_types.py --enum-field-as-literal all --output-model-type pydantic_v2.BaseModel --input-file-type "openapi"
poetry run datamodel-codegen --url https://api.openepi.io/soil/openapi.json --output openepi_client/soil/_soil_types.py --enum-field-as-literal all --output-model-type pydantic_v2.BaseModel --input-file-type "openapi"
poetry run datamodel-codegen --url https://api.openepi.io/crop-health/openapi.json --output openepi_client/crop_health/_crop_health_types.py --enum-field-as-literal all --output-model-type pydantic_v2.BaseModel --input-file-type "openapi"