Workflow¶
The Workflow class lets you configure & run jobs and query existing jobs related to this workflow.
Create a new workflow:
workflow = project.create_workflow(name="new_workflow")
Use an existing workflow:
workflow = up42.initialize_workflow(workflow_id="7fb2ec8a-45be-41ad-a50f-98ba6b528b98")
Source code in up42/workflow.py
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info: dict
property
¶
Gets and updates the workflow metadata information.
max_concurrent_jobs: int
property
¶
Gets the maximum number of concurrent jobs allowed by the project settings.
workflow_tasks: Dict[str, str]
property
¶
Gets the building blocks of the workflow as a dictionary with task_name:block-version
.
add_workflow_tasks(input_tasks)
¶
Adds or overwrites workflow tasks in a workflow on UP42.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
input_tasks |
Union[List[str], List[dict]]
|
The blocks to be added to the workflow. Can be a list of the
block names, block ids (use |
required |
Info
With block names or block display names, the most recent version of a block will be added. Using block ids specifies a specific version of a block.
Examples:
# Block names
input_tasks = ["sentinelhub-s2", "tiling"]
# Block Display names
input_tasks = ["Sentinel-2 Level 2 (BOA) AOI clipped",
"Raster Tiling"]
# Block Ids
input_tasks = ['018dfb34-fc19-4334-8125-14fd7535f979',
'4ed70368-d4e1-4462-bef6-14e768049471']
Using Custom Blocks
To use a custom block in your workspace, you need to provide the custom block id directly in the full workflow definition (dict of block id, block name and parent block name). See example below.
Examples:
# Full workflow definition
input_tasks = [{'name': 'sentinelhub-s2:1',
'parentName': None,
'blockId': '018dfb34-fc19-4334-8125-14fd7535f979'},
{'name': 'tiling:1',
'parentName': 'sentinelhub-s2:1',
'blockId': '4ed70368-d4e1-4462-bef6-14e768049471'}]
Source code in up42/workflow.py
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construct_parameters(geometry=None, geometry_operation=None, start_date=None, end_date=None, limit=None, scene_ids=None, asset_ids=None, **kwargs)
¶
Constructs workflow input parameters with a specified AOI, the default input parameters, and optionally limit and order-ids. Further parameter editing needs to be done manually via dict.update({key:value}).
Parameters:
Name | Type | Description | Default |
---|---|---|---|
geometry |
Union[FeatureCollection, Feature, dict, list, GeoDataFrame, Polygon, Polygon]
|
One of FeatureCollection, Feature, dict (geojson geometry), list (bounds coordinates), GeoDataFrame, shapely.Polygon, shapely.Point. All assume EPSG 4326! |
None
|
geometry_operation |
Optional[str]
|
Desired operation, One of "bbox", "intersects", "contains". |
None
|
limit |
Optional[int]
|
Maximum number of expected results. |
None
|
start_date |
Optional[Union[str, datetime]]
|
Query period starting day as iso-format string or datetime object, e.g. "YYYY-MM-DD" or "YYYY-MM-DDTHH:MM:SS". |
None
|
end_date |
Optional[Union[str, datetime]]
|
Query period ending day as iso-format or datetime object, e.g. "YYYY-MM-DD" or "YYYY-MM-DDTHH:MM:SS". |
None
|
scene_ids |
Optional[List[str]]
|
List of scene_ids, if given ignores all other parameters except geometry. |
None
|
asset_ids |
Optional[List[str]]
|
Optional, can be used to incorporate existing assets in Storage (result of Orders for instance) into new workflows. |
None
|
Returns:
Type | Description |
---|---|
dict
|
Dictionary of constructed input parameters. |
Source code in up42/workflow.py
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construct_parameters_parallel(geometries=None, interval_dates=None, scene_ids=None, limit_per_job=1, geometry_operation='intersects')
¶
Maps a list of geometries and a list of time series into a list of input parameters of a workflow. If you pass 2 geometries and 1 time interval this will result in 2 x 1 input parameters.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
geometries |
List[Union[dict, Feature, Polygon, Polygon]]
|
List of unit geometries to map with times. |
None
|
interval_dates |
List[Tuple[str, str]]
|
List of tuples of start and end dates,
i.e. |
None
|
scene_ids |
List[str]
|
List of scene ids. Will be mapped 1:1 to each job. All other arguments are ignored except geometries if passed. |
None
|
limit_per_job |
int
|
Limit passed to be passed to each individual job parameter. |
1
|
geometry_operation |
str
|
Geometry operation to be passed to each job parameter. |
'intersects'
|
Returns:
Type | Description |
---|---|
List[dict]
|
List of dictionary of constructed input parameters. |
Source code in up42/workflow.py
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delete()
¶
Deletes the workflow and sets the Python object to None.
Source code in up42/workflow.py
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estimate_job(input_parameters=None)
¶
Estimation of price and duration of the workflow for the provided input parameters.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
input_parameters |
Union[dict, str, Path]
|
Either JSON string of workflow parameters or filepath to JSON. |
None
|
Returns:
Type | Description |
---|---|
dict
|
A dictionary of estimation for each task in the workflow. |
Source code in up42/workflow.py
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get_compatible_blocks()
¶
Gets all compatible blocks for the current workflow. If the workflow is empty it will provide all data blocks, if the workflow already has workflow tasks, it will provide the compatible blocks for the last workflow task in the workflow.
Currently no data blocks can be attached to other data blocks.
Source code in up42/workflow.py
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get_jobs(return_json=False, test_jobs=True, real_jobs=True)
¶
Get all jobs associated with the workflow as a JobCollection or JSON.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
return_json |
bool
|
If true, returns the job info JSONs instead of a JobCollection. |
False
|
test_jobs |
bool
|
Return test jobs or test queries. |
True
|
real_jobs |
bool
|
Return real jobs. |
True
|
Returns:
Type | Description |
---|---|
Union[JobCollection, List[Dict]]
|
A JobCollection, or alternatively the jobs info as JSON. |
Source code in up42/workflow.py
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get_parameters_info()
¶
Gets infos about the workflow parameters of each block in the current workflow to make it easy to construct the desired parameters.
Returns:
Type | Description |
---|---|
dict
|
Workflow parameters info JSON. |
Source code in up42/workflow.py
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get_workflow_tasks(basic=False)
¶
Get the workflow-tasks of the workflow (Blocks in a workflow are called workflow_tasks).
Parameters:
Name | Type | Description | Default |
---|---|---|---|
basic |
bool
|
If selected returns a simplified task-name : block-version dict. |
False
|
Returns:
Type | Description |
---|---|
Union[List, dict]
|
The workflow task info. |
Source code in up42/workflow.py
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run_job(input_parameters=None, track_status=False, name=None)
¶
Creates and runs a new job.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
input_parameters |
Union[Dict, str, Path]
|
Either JSON string of workflow parameters or filepath to JSON. |
None
|
track_status |
bool
|
Automatically attaches workflow.track_status which queries the job status every 30 seconds. |
False
|
name |
str
|
The job name. Optional, by default the workflow name is assigned. |
None
|
Returns:
Type | Description |
---|---|
Job
|
The spawned job object. |
Source code in up42/workflow.py
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run_jobs_parallel(input_parameters_list=None, name=None, max_concurrent_jobs=10)
¶
Create and run jobs in parallel.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
input_parameters_list |
Optional[List[dict]]
|
List of dictionary of input parameters |
None
|
name |
str
|
The job name. Optional, by default the workflow name is assigned. |
None
|
max_concurrent_jobs |
int
|
The maximum number of jobs to run in parallel. This is defined in the project settings. |
10
|
Returns:
Type | Description |
---|---|
JobCollection
|
The spawned JobCollection object. |
Raises:
Type | Description |
---|---|
ValueError
|
When max_concurrent_jobs is greater than max_concurrent_jobs set in project settings. |
Source code in up42/workflow.py
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test_job(input_parameters=None, track_status=False, name=None, get_estimation=False)
¶
Create a run a new test job (Test Query). With this test query you will not be charged with any data or processing credits, but have a preview of the job result.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
input_parameters |
Union[Dict, str, Path]
|
Either JSON string of workflow parameters or filepath to JSON. |
None
|
track_status |
bool
|
Automatically attaches workflow.track_status which queries the job status every 30 seconds. |
False
|
name |
str
|
The job name. Optional, by default the workflow name is assigned. |
None
|
Returns:
Type | Description |
---|---|
Job
|
The spawned test job object. |
Source code in up42/workflow.py
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test_jobs_parallel(input_parameters_list=None, name=None, max_concurrent_jobs=10)
¶
Create and run test jobs (Test Query) in parallel. With this test query you will not be charged with any data or processing credits, but have a preview of the job result.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
input_parameters_list |
List[dict]
|
List of dictionary of input parameters |
None
|
name |
str
|
The job name. Optional, by default the workflow name is assigned. |
None
|
max_concurrent_jobs |
int
|
The maximum number of jobs to run in parallel. This is defined in the project settings. |
10
|
Returns:
Type | Description |
---|---|
JobCollection
|
The spawned test JobCollection object. |
Raises:
Type | Description |
---|---|
ValueError
|
When max_concurrent_jobs is greater than max_concurrent_jobs set in project settings. |
Source code in up42/workflow.py
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update_name(name=None, description=None)
¶
Updates the workflow name and description.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
name |
Optional[str]
|
New name of the workflow. |
None
|
description |
Optional[str]
|
New description of the workflow. |
None
|
Source code in up42/workflow.py
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