def multi_subbasin(parent_aoi, child_shapes, layer_overrides={}):
shapes = [{'id': wkaoi, 'shape': aoi} for (wkaoi, _, aoi) in child_shapes]
datasource = get_layer_value('__STREAMS__', layer_overrides)
stream_lines = streams(parent_aoi, datasource)
return multi.s('mapshed',
shapes,
stream_lines,
layer_overrides=layer_overrides)
def multi_mapshed(aoi, wkaoi, layer_overrides={}):
shape = [{'id': wkaoi or NOCACHE, 'shape': aoi}]
datasource = get_layer_value('__STREAMS__', layer_overrides)
stream_lines = streams(aoi, datasource)
return multi.s('mapshed',
shape,
stream_lines,
layer_overrides=layer_overrides)
def geoprocessing_chains(aoi, wkaoi, errback):
task_defs = [
('nlcd_soil', nlcd_soil, {'polygon': [aoi]}),
('soiln', soiln, {'polygon': [aoi]}),
('soilp', soilp, {'polygon': [aoi]}),
('recess_coef', recess_coef, {'polygon': [aoi]}),
('gwn', gwn, {'polygon': [aoi]}),
('avg_awc', avg_awc, {'polygon': [aoi]}),
('nlcd_slope', nlcd_slope, {'polygon': [aoi]}),
('slope', slope, {'polygon': [aoi]}),
('nlcd_kfactor', nlcd_kfactor, {'polygon': [aoi]}),
('nlcd_streams', nlcd_streams, {'polygon': [aoi],
'vector': streams(aoi)}),
]
return [
run.s(opname, data, wkaoi) |
callback.s().set(link_error=errback)
for (opname, callback, data) in task_defs
]
def start_analyze_streams(request, format=None):
"""
Starts a job to display streams & stream order within a given area of
interest.
For more information, see
the [technical documentation](https://wikiwatershedorg/documentation/
mmw-tech/#additional-data-layers)
## Response
You can use the URL provided in the response's `Location` header
to poll for the job's results.
<summary>
**Example of a completed job's `result`**
</summary>
<details>
{
"survey": {
"displayName": "Streams",
"name": "streams",
"categories": [
{
"lengthkm": 2.598,
"total_weighted_slope": 0.05225867338,
"order": 1,
"ag_stream_pct": 0.003416856492027335,
"avgslope": 0.020114962809853736
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 2,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
lengthkm": 0,
total_weighted_slope": null,
order": 3,
ag_stream_pct": 0.003416856492027335,
avgslope": null
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 4,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 5,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 21.228,
"total_weighted_slope": 0.00577236831,
"order": 6,
"ag_stream_pct": 0.003416856492027335,
"avgslope": 0.0002719223812888637
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 7,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 8,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 9,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 10,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 6.085,
"total_weighted_slope": null,
"order": 999,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
}
]
}
}
</details>
---
type:
job:
required: true
type: string
status:
required: true
type: string
omit_serializer: true
parameters:
- name: body
description: A valid single-ringed Multipolygon GeoJSON
representation of the shape to analyze.
See the GeoJSON spec
https://tools.ietf.org/html/rfc7946#section-3.1.7
paramType: body
type: object
- name: wkaoi
paramType: query
description: The table and ID for a well-known area of interest,
such as a HUC.
Format "table__id", eg. "huc12__55174" will analyze
the HUC-12 City of Philadelphia-Schuylkill River.
- name: Authorization
paramType: header
description: Format "Token YOUR_API_TOKEN_HERE". When using
Swagger you may wish to set this for all requests via
the field at the top right of the page.
consumes:
- application/json
produces:
- application/json
"""
user = request.user if request.user.is_authenticated() else None
area_of_interest, wkaoi = _parse_input(request)
return start_celery_job([
geoprocessing.run.s('nlcd_streams', {
'polygon': [area_of_interest],
'vector': streams(area_of_interest)
}, wkaoi),
nlcd_streams.s(),
tasks.analyze_streams.s(area_of_interest)
], area_of_interest, user)
def multi_subbasin(parent_aoi, child_shapes):
shapes = [{'id': wkaoi, 'shape': aoi}
for (wkaoi, _, aoi) in child_shapes]
stream_lines = streams(parent_aoi)[0]
return multi.s('mapshed', shapes, stream_lines)
def multi_mapshed(aoi, wkaoi):
shape = [{'id': wkaoi or NOWKAOI, 'shape': aoi}]
stream_lines = streams(aoi)[0]
return multi.s('mapshed', shape, stream_lines)
def start_analyze_streams(request, format=None):
"""
Starts a job to display streams & stream order within a given area of
interest.
For more information, see
the [technical documentation](https://wikiwatershedorg/documentation/
mmw-tech/#additional-data-layers)
## Response
You can use the URL provided in the response's `Location` header
to poll for the job's results.
<summary>
**Example of a completed job's `result`**
</summary>
<details>
{
"survey": {
"displayName": "Streams",
"name": "streams",
"categories": [
{
"lengthkm": 2.598,
"total_weighted_slope": 0.05225867338,
"order": 1,
"ag_stream_pct": 0.003416856492027335,
"avgslope": 0.020114962809853736
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 2,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
lengthkm": 0,
total_weighted_slope": null,
order": 3,
ag_stream_pct": 0.003416856492027335,
avgslope": null
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 4,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 5,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 21.228,
"total_weighted_slope": 0.00577236831,
"order": 6,
"ag_stream_pct": 0.003416856492027335,
"avgslope": 0.0002719223812888637
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 7,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 8,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 9,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 0,
"total_weighted_slope": null,
"order": 10,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
},
{
"lengthkm": 6.085,
"total_weighted_slope": null,
"order": 999,
"ag_stream_pct": 0.003416856492027335,
"avgslope": null
}
]
}
}
</details>
"""
user = request.user if request.user.is_authenticated else None
area_of_interest, wkaoi = _parse_input(request)
return start_celery_job([
geoprocessing.run.s('nlcd_streams', {
'polygon': [area_of_interest],
'vector': streams(area_of_interest)
}, wkaoi),
nlcd_streams.s(),
tasks.analyze_streams.s(area_of_interest)
], area_of_interest, user)
