openepi-client 0.0.6

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
• Flood predictions
  • Sync usage
  • Async usage
• Deforestation
  • Sync usage
  • Async 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))

Flood

Sync usage

from openepi_client import GeoLocation, BoundingBox
from openepi_client.flood import FloodClient
from datetime import date, timedelta

# Get the return period thresholds for a given geolocation
thresholds = FloodClient.get_threshold(geolocation=GeoLocation(lat=-3.422, lon=30.075))

# Get the return period thresholds for a given bounding box
thresholds = FloodClient.get_threshold(bounding_box=BoundingBox(min_lat=4.764412, min_lon=22.0, max_lat=5.015732, max_lon=23.05))

# Get a summary flood forecast for a given coordinate
summary = FloodClient.get_summary(geolocation=GeoLocation(lat=-3.422, lon=30.075))

# Get a summary flood forecast for a given coordinate and include neighboring cells
summary = FloodClient.get_summary(geolocation=GeoLocation(lat=-3.422, lon=30.075), include_neighbors=True)

# Get a summary flood forecast for a given bounding box
summary = FloodClient.get_summary(bounding_box=BoundingBox(min_lat=4.764412, min_lon=22.0, max_lat=5.015732, max_lon=23.05))

# Get a detailed flood forecast for a given coordinate
detailed = FloodClient.get_detailed(geolocation=GeoLocation(lat=-3.422, lon=30.075))

# Get a detailed flood forecast for a given coordinate and timeframe (inclusive bounds)
start_date = date.today()
end_date = start_date + timedelta(days=4)
detailed = FloodClient.get_detailed(geolocation=GeoLocation(lat=-3.422, lon=30.075), start_date=start_date, end_date=end_date)

# Get a detailed flood forecast for a given bounding box
detailed = FloodClient.get_detailed(bounding_box=BoundingBox(min_lat=4.764412, min_lon=22.0, max_lat=5.015732, max_lon=23.05))

Async usage

from openepi_client import GeoLocation, BoundingBox
from openepi_client.flood import AsyncFloodClient
from datetime import date, timedelta

# Get the return period thresholds for a given geolocation
thresholds = await AsyncFloodClient.get_threshold(geolocation=GeoLocation(lat=-3.422, lon=30.075))

# Get the return period thresholds for a given bounding box
thresholds = await AsyncFloodClient.get_threshold(bounding_box=BoundingBox(min_lat=4.764412, min_lon=22.0, max_lat=5.015732, max_lon=23.05))

# Get a summary flood forecast for a given coordinate
summary = await AsyncFloodClient.get_summary(geolocation=GeoLocation(lat=-3.422, lon=30.075))

# Get a summary flood forecast for a given coordinate and include neighboring cells
summary = await AsyncFloodClient.get_summary(geolocation=GeoLocation(lat=-3.422, lon=30.075), include_neighbors=True)

# Get a summary flood forecast for a given bounding box
summary = await AsyncFloodClient.get_summary(bounding_box=BoundingBox(min_lat=4.764412, min_lon=22.0, max_lat=5.015732, max_lon=23.05))

# Get a detailed flood forecast for a given coordinate
detailed = await AsyncFloodClient.get_detailed(geolocation=GeoLocation(lat=-3.422, lon=30.075))

# Get a detailed flood forecast for a given coordinate and timeframe (inclusive bounds)
start_date = date.today()
end_date = start_date + timedelta(days=4)
detailed = await AsyncFloodClient.get_detailed(geolocation=GeoLocation(lat=-3.422, lon=30.075), start_date=start_date, end_date=end_date)

# Get a detailed flood forecast for a given bounding box
detailed = await AsyncFloodClient.get_detailed(bounding_box=BoundingBox(min_lat=4.764412, min_lon=22.0, max_lat=5.015732, max_lon=23.05))

Deforestation

Sync usage

from openepi_client import GeoLocation, BoundingBox
from openepi_client.deforestation import DeforestationClient

# Get the yearly forest cover loss within a river basin for a given geolocation
forest_loss = DeforestationClient.get_basin(geolocation=GeoLocation(lat=5.175, lon=37.124))

# Get yearly forest cover loss for all river basins within the given bounding box
forest_loss = DeforestationClient.get_basin(bounding_box=BoundingBox(min_lat=30.909622, min_lon=28.850951, max_lat=-1.041395, max_lon=-2.840114))

Async usage

from openepi_client import GeoLocation, BoundingBox
from openepi_client.deforestation import AsyncDeforestationClient

# Get the yearly forest cover loss within a river basin for a given geolocation
forest_loss = await AsyncDeforestationClient.get_basin(geolocation=GeoLocation(lat=5.175, lon=37.124))

# Get yearly forest cover loss for all river basins within the given bounding box
forest_loss = await AsyncDeforestationClient.get_basin(bounding_box=BoundingBox(min_lat=30.909622, min_lon=28.850951, max_lat=-1.041395, max_lon=-2.840114))

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-test.openepi.io/weather/openapi.json --output openepi_client/weather/_weather_types.py --enum-field-as-literal all --output-model-type pydantic_v2.BaseModel
 poetry run datamodel-codegen --url https://api-test.openepi.io/geocoding/openapi.json --output openepi_client/geocoding/_geocoding_types.py --enum-field-as-literal all --output-model-type pydantic_v2.BaseModel
 poetry run datamodel-codegen --url https://api-test.openepi.io/flood/openapi.json --output openepi_client/flood/_flood_types.py --enum-field-as-literal all --output-model-type pydantic_v2.BaseModel
 poetry run datamodel-codegen --url https://api-test.openepi.io/deforestation/openapi.json --output openepi_client/deforestation/_deforestation_types.py --enum-field-as-literal all --output-model-type pydantic_v2.BaseModel