Welcome to Ellipsis’ documentation!

This is the documentation for the official python package of Ellipsis Drive. You can find the source code of the package at https://github.com/ellipsis-drive/python-package. The package eases the use of the Ellipsis Drive API, by wrapping many of the API calls in python functions and adding some more intricate functions as well.

Examples

General usage

Retrieving all items in “My Drive”.

import ellipsis as el

# log in
token = el.account.logIn("username", "password")

# retrieve all items in "My Drive"
items = el.account.listRoot("myDrive", pathTypes = ['folder', 'raster','vector','file'], token=token)

Retrieve all layers and folders inside a specific folder, and retreive information about the folder itself.

import ellipsis as el

folderId = '46e1e919-8b73-42a3-a575-25c6d45fd93b'

token = el.account.logIn("username", "password")

info = el.path.get(folderId, token)
items = el.path.folder.listFolder(folderId, pathTypes = ['folder', 'raster','vector','file'], token = token, listAll = True)

Retrieve metadata for a specific layer with id.

import ellipsis as el

layerId = '46e1e919-8b73-42a3-a575-25c6d45fd93b'

token = el.account.logIn("username", "password")

info = el.path.get(folderId, token)

Find layers matching certain search criteria.

import ellipsis as el

token = el.account.logIn("username", "password")

result = el.path.search(pathTypes = ['raster', 'vector'], extent= {'xMin': -20, 'xmax':10, 'yMin':23, 'yMax':40}, text='test', token = token )

ALL RELEVANT METADATA OF A LAYER/FOLDER CAN BE FOUND IN THE METADATA DICTIONARY THAT IS RETURNED IN THESE FUNCTIONS.

Uploading files

The below example uploads a raster file.

import ellipsis as el

pathToYourLocalFile = ""

token = el.account.logIn("username", "password")
rasterLayerId = el.path.raster.add( "some name", token)['id']
timestampId = el.path.raster.timestamp.add(rasterLayerId, token)['id']
el.path.raster.timestamp.file.add(pathId =rasterLayerId, timestampId=timestampId, filePath= pathToYourLocalFile, fileFormat='tif', token=token)
#don't forget to activate the timestamp once upload is completed
el.path.raster.timestamp.activate(rasterLayerId, timestampId, token)

Similarly, the below example uploads a vector file.

import ellipsis as el

pathToYourLocalFile = ""

token = el.account.logIn("username", "password")
vectorLayerId = el.path.vector.add( "some name", token)['id']
timestampId = el.path.vector.timestamp.add(vectorLayerId, token)['id']
el.path.vector.timestamp.file.add(vectorLayerId, timestampId, pathToYourLocalFile, token)

Fetching data

The below example fetches a raster as a numpy array.

import ellipsis as el

token = el.account.logIn("username", "password")
rasterLayerId = "173bf9f0-b28b-418f-bfa8-5d3436ec0dd7"
timestampId = "a8ec20d6-9571-4f44-a411-caf0f916af69"

extent = {"yMax":-2.29048,  "xMax": 55.04837, "yMin": -2.26255 "xMin": 55.04037}

r = el.path.raster.timestamp.getRaster(pathId =rasterLayerId, timestampId=timestampId, extent = extent, epsg = 4326, token=token)

el.util.plotRaster(r)

Similarly, you can fetch vector data from a layer as a geopandas dataframe.

import ellipsis as el

token = el.account.logIn("username", "password")
vectorLayerId = "312907b1-9bab-4776-b271-413e7596cf1a"
timestampId = "6e9b7020-ba52-4cbc-94ea-5c2c14927233"

extent = {"yMax":-2.29048,  "xMax": 55.04837, "yMin": -2.26255 "xMin": 55.04037}

r = el.path.vector.timestamp.getFeaturesByExtent(pathId =vectorLayerId, timestampId=timestampId, extent = extent, epsg = 4326, token=token)

el.util.plotVector(r)

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