SDK for origo
Project description
Configuration
When calling any classes interacting with the Origo API and there are no Config params passed to the constructor, a config object will be automaticly created for you based on environment variables
Environment variables
Default, will pick up configuration from current environment. The credentials is resolved automatically if you do not set a specific Auth config, in the following order:
- Client Credentials: If you have added client_id / client_secret to the config. Or if you use the
environment variable equivalent:
ORIGO_CLIENT_ID
/ORIGO_CLIENT_SECRET
. - Username And Password: If you have added username / password to the config. Or if you use the
environment variable equivalent:
ORIGO_USERNAME
/ORIGO_PASSWORD
.
# keycloak user
export ORIGO_USERNAME=my-user
# keycloak password for ORIGO_USERNAME
export ORIGO_PASSWORD=my-password
# keycloak client
export ORIGO_CLIENT_ID=my-machine-client
# keycloak secret for ORIGO_CLIENT_ID
export ORIGO_CLIENT_SECRET=some-generated-secure-string
# overrides default environment (dev), but will be trumped by --env=<environment> on the commandline
export ORIGO_ENVIRONMENT=dev|prod
# If you are sending events and have been assigned a API key
export ORIGO_API_KEY=your-api-key
Getting Credentials:
username/password
are synced with Oslo municipalities Active Directory so any user with an association can
use their personal account to access the SDK.
For client credentials
please contact the data platform team. dataplattform[at]oslo.kommune.no
TODO: Named profiles
If environment variables are not available, the system will try to load from a default profile: Located in ~/.origo/configuration
Usage
Upload data
When uploading data you need to refer to an existing dataset that you own, a version and an edition. If these are non existent then you can create them yourself. This can be achieved using the sdk, or you can use our command line interface.
from origo.data.upload import Upload
from origo.config import Config
origo_config = Config()
# If necessary you can override default values
origo_config.config["cacheCredentials"] = False
data_uploader = Upload(config=origo_config)
# Upload file 'data.json' to dataset-id/version/edition
dataset_id = "your-dataset-id"
version = "version"
edition = "20200115T130439"
filename = "data.json"
# Note! filename must be pointing to an existing file on your disk
upload_success = data_uploader.upload(filename, dataset_id, version, edition)
Sending events
Before you can start sending events you need to have defined a dataset and a version. This can be achieved using the sdk, or you can use our command line interface. You not need to define an edition in order to send events. However you need to set up an event-stream. As for now you have to contact Team Dataplattform at Origo in order to set up an event-stream.
from origo.event.post_event import PostEvent
from origo.config import Config
origo_config = Config()
# If necessary you can override default config values
origo_config.config["cacheCredentials"] = True
event_poster = PostEvent(config=origo_config)
dataset_id = "some-dataset-id"
version = "1"
event = {"foo": "bar"}
res = event_poster.post_event(event, dataset_id, version)
# res:
# {'message': 'Ok'}
# Method also supports list of dictionaries
event_list = [{"foo": "bar"}, {"foo": "bar"}]
res2 = event_poster.post_event(event_list, dataset_id, version)
# res2:
# {'message': 'Ok'}
Create a new dataset with version and edition
from origo.data.dataset import Dataset
from origo.config import Config
origo_config = Config()
# If necessary you can override default values
origo_config.config["cacheCredentials"] = False
# Create a new dataset
dataset = Dataset(config=origo_config)
dataset_metadata = {
"title": "Precise Descriptive Title",
"description": "Describe your dataset here",
"keywords": ["some-keyword"],
"accessRights": "public",
"confidentiality": "green",
"objective": "Exemplify how to create a new dataset",
"contactPoint": {
"name": "Your name",
"email": "your_email@domain.com",
"phone": "999555111"
},
"publisher": "name of organization or person responsible for publishing the data",
"processing_stage": "raw"
}
new_dataset = dataset.create_dataset(data=dataset_metadata)
# new_dataset:
# { 'Id': 'precise-descriptive-title',
# 'Type': 'Dataset',
# '_links': {'self': {'href': '/datasets/precise-descriptive-title'}},
# 'accessRights': 'public',
# 'confidentiality': 'green',
# 'contactPoint': { 'email': 'your_email@domain.com',
# 'name': 'Your name',
# 'phone': '999555111'},
# 'description': 'Describe your dataset here',
# 'keywords': ['some-keyword'],
# 'objective': 'Exemplify how to create a new dataset',
# 'processing_stage': 'raw',
# 'publisher': 'name of organization or person responsible for publishing the '
# 'data',
# 'title': 'Precise Descriptive Title'}
# create version for new dataset:
version_data = {"version": "1"}
new_version = dataset.create_version(new_dataset["Id"], data=version_data)
# new_version:
# { 'Id': 'precise-descriptive-title/1',
# 'Type': 'Version',
# '_links': { 'self': { 'href': '/datasets/precise-descriptive-title/versions/1'}},
# 'version': '1'}
# create edition for new_dataset/new_version:
import datetime
# Note! edition-field must be ISO 8601 with utc offset
edition_data = {
"edition": str(datetime.datetime.utcnow().replace(tzinfo=datetime.timezone.utc).isoformat()),
"description": "My edition description",
"startTime": "2019-01-01",
"endTime": "2019-12-31"
}
new_edition = dataset.create_edition(new_dataset["Id"], new_version["version"], data=edition_data)
# new_edition
# { 'Id': 'precise-descriptive-title/1/20200115T130439',
# 'Type': 'Edition',
# '_links': { 'self': { 'href': '/datasets/precise-descriptive-title/versions/1/editions/20200115T130439'}},
# 'description': 'My edition description',
# 'edition': '2020-01-15T13:04:39.041778+00:00',
# 'endTime': '2019-12-31',
# 'startTime': '2019-01-01'}
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