adamapi 2.0.10

Python Adam API

Installation

Versioning

1. adamapi==1.0.1 , This package works only with ADAMCORE 1.
2. adamapi==2.0.10, This pachage works only with ADAMCORE 2.

Requirements

sudo apt-get install python3-venv python3-gdal gdal-bin

Install with pip

VENVNAME="adamapi"
python3 -m venv "${VENVNAME}"
PYTHONVERSION=$(ls ${VENVNAME}/lib/)
source "${VENVNAME}/bin/activate";
python3 -m pip install --upgrade pip;
pip install adamapi==2.0.1r1
ln -s "/usr/lib/python3/dist-packages/osgeo" "${VENVNAME}/lib/${PYTHONVERSION}/site-packages/osgeo"

API DEFINITIONS

This document briefly describes the ADMAPI functionalities.
The complete and interactive documentation is provided through a jupyter notebook (LINK to notebook TBP).
The ADAMAPI library is divided in 4 modules:

1. Auth --> the authorization module
2. Datasets --> to get the list of datasets
3. Search --> to get the lists of products, including associated metadata (e.g. geometry, cloud cover, orbit, tile, ...)
4. GetData --> to retrieve the product(s), including options to subset in space and time

1 - Auth

This module takes care of user authentication and authorization.
Without instancing an object of this module other components don't work.
Auth module is based on the ADAMAPI_KEY, a key that uniquelly identifies the user.

Class contructor and parameters

from adamapi import Auth
a = Auth()

Parameters:

position/keyword	mandatory	type	default	description

Public methods and parameters

• .setKey() --> To setup the ADAMAPI_KEY
  Parameters:

position/keyword	mandatory	type	default	description
0	True	str		The ADAMAPI_KEY

• .setAdamCore() --> To setup the url of the ADAM-CORE endpoint
  Parameters:

position/keyword	mandatory	type	default	description
0	True	str		The url like https://test.adamplatform.eu

• .authorize() --> to instanciate an auth object
  Parameters:

position/keyword	mandatory	type	default	description

• .getAuthToken() --> to get the authorization token
  Parameters:

position/keyword	mandatory	type	default	description

1.1 - ADAMAPI_KEY retrieval

To get the ADAMAPI_KEY, you need to access your ADAM portal and:

1. Select the "user icon" on the top right
2. Expand / click the "USERNAME"
3. Click on the "Api Key" to display your key

*Command-line ADAMAPI_KEY retrieval TBP*

1.2 - ADAMAPI_KEY setup

There are three methods to setup the ADAMAPI_KEY and the ADAM-CORE instance:

1. use the method setKey() and setAdamCore()

from adamapi import Auth
a = Auth()
a.setKey('<ADAMAPI_KEY>')
a.setAdamCore('https://test.adamplatform.eu')

2. Export two envars like

#open a Terminal and type:
export ADAMAPI_KEY='<ADAMAPI_KEY>'
export ADAMAPI_URL='https://test.adamplatform.eu'

3. create a file called .adamapirc in the user home directory with the following content

key=<ADAMAPI_KEY>
url=https://test.adamplatform.eu

1.3 - Examples

After ADAMAPI_KEY has been set up, an auth instance can be created with:

from adamapi import Auth
a = Auth()
a.authorize()

After authorize method you can retrive your autho token:

from adamapi import Auth
a = Auth()
a.authorize()
a.getAuthToken()

2 - Datasets

This module provides datasets discovery functionality.

Class contructor and parameters

from adamapi import Datasets
datasets = Datasets( a )

Parameters:

position/keyword	mandatory	type	default	description
0	True	Auth instance		The ADAMAPI authorized instance obtained in the previous section

Public methods and parameters

• .getDatasets() --> To retrieve datasets list and metadata
  Parameters:

position/keyword	mandatory	type	default	description
0	False	str		The datasetId.
page	False	numeric	0	Indicats a specific page
maxRecords	False	numeric	10	Max number of results in output.

This .getDatasets() function can be used to retrive additional filters which are described in the key filtersEnabled (if exists).

2.1 Examples

This module can be used in 2 different ways.

1. To list all available datasets:

datasets = Datasets(a)
print(datasets.getDatasets())

2. To get detailed metadata about a specific dataset

datasets = Datasets(a)
print( datasets.getDatasets( '{{ID:DATASET}}' , page=0 , maxRecords=10 ) )

3. To get filtersEnabled. To use this additional filters see first example in Search section.

datasets = Datasets(a)
out=datasets.getDatasets("{{ID:DATASET}}")
print(out["filtersEnabled"])

3 - Search

This module provides discovery functionality through the products available on the ADAM instance.

Class contructor and parameters

from adamapi import Search
search = Search( a )

Parameters:

position/keyword	mandatory	type	default	description
0	True	Auth instance		The ADAMAPI authorized instance obtained in section 1-Auth

Public methods and parameters

• .getProducts() --> To retrieve datasets list and metadata
  

Parameters:

position/keyword	mandatory	type	default	description
0	True	str		The datasetId.
maxRecords	False	int	10	number of records
startIndex	False	int	0	starting record index
startDate	False	str or datetime		the start date
endDate	False	str or datetime		the end date

3.1 Examples

1. Example1:

search=Search(a)
mongo_search=search.getProducts('{{ID:DATASET}}',maxRecords=1,startIndex=0,platform="{{VALUE}}")

2. Example2:

search=Search(a)
mongo_search=search.getProducts('{{ID:DATASET}}',maxRecords=1,startIndex=0)

4 - getData

This module provides data access of raster, spatial subset and timeseries.

Class contructor and parameters

from adamapi import GetData
data=GetData(a)

Parameters:

position/keyword	mandatory	type	default	description
0	True	Auth Instance		The ADAMAPI authorized instance obtained in the section 1-Auth

Public methods and parameters

• .getData() --> To retrieve a product
  

Parameters to retrive a product:

position/keyword	mandatory	type	default	description
0	True	str		The datasetId
1	True	str		The productId
outputFname	False	str	"adamapiresults/datasetId"	absolute filename or relative filename without extension. If not set, the retrived product is saved in "adamapiresults/datasetId.tif"

Parameters to retrive a subset or a timeseries:

position/keyword	mandatory	type	default	description
0	True	str		The datasetId
1	True	str		startDate
2	True	str		endDate
3	False	boolean	False	asyncronous management for subset and timeseries order
geometry	True	str or geojson		GeoJson geometry, if the geometry is a Point the api return a timeseries
outputFname	False	str	"adamapiresults/datasetId"	absolute filename without extension. If not set, the retrived product is saved in "adamapiresults/datasetId"

4.1 Examples

data=GetData(a)
#to retrive a raster
image=data.getData('{{ID:DATASET}}',productId='{{productId}}')
#or image=data.getData('{{ID:DATASET}}',productId='{{productId}}',outputFname="adamapi/test_get_data")

#to retrive a subset
image=data.getData(datasetId, startDate, endDate, geometry = '{"type": "Polygon", "coordinates": [ [ [ 43.916666667, 15.716666667 ], [43.916666667, 15.416666667 ], [ 44.216666667, 15.416666667 ],     [ 44.216666667, 15.716666667 ],     [ 43.916666667, 15.716666667 ]]]}')
#to retrive a timeseries
px_series=data.getData(datasetId, startDate, endDate, geometry = '{"type": "Point","coordinates":[43.916666667, 15.716666667]}')

#asyncronous management
image=data.getData(datasetId, startDate, endDate, asyncron= True,geometry = '{"type": "Polygon", "coordinates": [ [ [ 43.916666667, 15.716666667 ], [43.916666667, 15.416666667 ], [ 44.216666667, 15.416666667 ],     [ 44.216666667, 15.716666667 ],     [ 43.916666667, 15.716666667 ]]]}')

#check order status
- get order info:
image.pk -> order key

image.status -> order status

image.location -> order location when status is completed

image=data.getData(datasetId, asyncron= True,pk=image.pk)