Validation coordinator - better-satcen-00002 queue - South Niger Area¶
This coordinator feeds the better-satcen-00002 data pipeline queue with products over a South Niger Area
- First do the imports of the Python libraries required
In [1]:
import sys
import os
import owslib
from owslib.wps import monitorExecution
from owslib.wps import WebProcessingService
import json
import lxml.etree as etree
import cioppy
from shapely.wkt import loads
import getpass
import folium
from datetime import datetime, timedelta
import dateutil.parser
import requests
from nbconvert.preprocessors import ExecutePreprocessor, CellExecutionError
import nbformat as nbf
- Read the data pipeline configuration information:
In [2]:
%store -r
nb_config = os.path.join('..', 'configuration.ipynb')
nb = nbf.read(nb_config, 4)
exec(nb['cells'][2]['source']) in globals(), locals()
app = dict([('artifact_id', app_artifact_id),
('version', app_version),
('repository', repository),
('community', community)])
app_process_id = '%s_%s_%s_%s' % (app['community'].replace('-', '_'),
app['artifact_id'].replace('-', '_'),
app['artifact_id'].replace('-', '_'),
app['version'].replace('.', '_'))
trigger_queue = dict([('artifact_id', trigger_queue_artifact_id),
('version', trigger_queue_version),
('repository', repository),
('folder', folder),
('community', community)])
trigger_queue_process_id = '%s_%s_%s_%s' % (trigger_queue['community'].replace('-', '_'),
trigger_queue['artifact_id'].replace('-', '_'),
trigger_queue['artifact_id'].replace('-', '_'),
trigger_queue['version'].replace('.', '_'))
print 'This notebook will create a coordinator for a queue to invoke the application %s with the trigger %s' % (app_process_id,
trigger_queue_process_id)
This notebook will create a coordinator for a queue to invoke the application ec_better_ewf_satcen_01_02_01_ewf_satcen_01_02_01_0_18 with the trigger ec_better_tg_satcen_01_02_01_queue_tg_satcen_01_02_01_queue_0_5
- Set the data transformation parameters
In [3]:
algorithm = 'FULL'
- Select the AOI: first Polygon of the geometry (NW Niger Area)
In [4]:
geom = 'MULTIPOLYGON (((10.65344444444444 12.17622222222222, 10.65344444444444 15.48261111111111, 8.398666666666667 15.48261111111111, 8.398666666666667 12.17622222222222, 10.65344444444444 12.17622222222222)), ((15.42594444444445 18.89533333333333, 15.42594444444445 23.45238888888889, 12.93755555555556 23.45238888888889, 12.93755555555556 18.89533333333333, 15.42594444444445 18.89533333333333)), ((6.452166666666667 18.3855, 6.452166666666667 20.24616666666667, 5.364944444444444 20.24616666666667, 5.364944444444444 18.3855, 6.452166666666667 18.3855))))'
wkt = loads(geom)[2].wkt
Data selection parameters¶
In [5]:
series = 'https://catalog.terradue.com/sentinel1/description'
In [6]:
product_type = 'SLC'
In [7]:
free_text = 'sensorOperationalMode.text:S*'
Coordinator parameters¶
In [8]:
coordinator_name = 'co_%s_S_Niger_queue' % data_pipeline
In [9]:
start_queue = '${coord:formatTime(coord:dateOffset(coord:nominalTime(), -2, \'DAY\'), "yyyy-MM-dd\'T\'HH:mm:ss\'Z\'")}'
end_queue = '${coord:formatTime(coord:dateOffset(coord:nominalTime(), -1, \'DAY\'), "yyyy-MM-dd\'T\'HH:mm:ss\'Z\'")}'
In [10]:
co_trigger_queue_process_id = 'coordinator_%s' % trigger_queue_process_id
In [11]:
coordinator_date_start = '2016-01-03T00:00Z'
coordinator_date_stop = '2019-01-02T00:01Z'
coordinator_period = '0 * * * *'
Common Parameters¶
In [12]:
tg_quotation = 'No'
recovery = 'No'
_T2Username = data_pipeline
Visual check on the AOI¶
In [13]:
lat = (loads(wkt).bounds[3]+loads(wkt).bounds[1])/2
lon = (loads(wkt).bounds[2]+loads(wkt).bounds[0])/2
zoom_start = 8
m = folium.Map(location=[lat, lon], zoom_start=zoom_start)
radius = 4
folium.CircleMarker(
location=[lat, lon],
radius=radius,
color='#FF0000',
stroke=False,
fill=True,
fill_opacity=0.6,
opacity=1,
popup='{} pixels'.format(radius),
tooltip='I am in pixels',
).add_to(m)
locations = []
locations.append([t[::-1] for t in list(loads(wkt).exterior.coords)])
folium.PolyLine(
locations=locations,
color='#FF0000',
weight=2,
tooltip='',
).add_to(m)
m.save(os.path.join('maps', '%s_search.html' % data_pipeline))
m
Out[13]:
Check data transformation application¶
In [14]:
wps_url_apps = '%s/zoo-bin/zoo_loader.cgi' % apps_deployer
wps = WebProcessingService(wps_url_apps, verbose=False, skip_caps=False)
found_process = False
message = "The process %s is not deployed" % app_process_id
for index, elem in enumerate(wps.processes):
if elem.identifier == app_process_id:
message = "The process %s is deployed" % app_process_id
found_process = True
print message
if not found_process:
raise Exception(message)
The process ec_better_ewf_satcen_01_02_01_ewf_satcen_01_02_01_0_18 is deployed
Check trigger coordinator¶
In [15]:
wps_url_triggers = '%s/zoo-bin/zoo_loader.cgi' % trigger_deployer
wps = WebProcessingService(wps_url_triggers, verbose=False, skip_caps=False)
found_process = False
message = "The queue coordinator process %s is not deployed" % co_trigger_queue_process_id
for index, elem in enumerate(wps.processes):
if elem.identifier == co_trigger_queue_process_id:
message = "The queue coordinator process %s is deployed" % co_trigger_queue_process_id
found_process = True
print message
if not found_process:
raise Exception(message)
The queue coordinator process coordinator_ec_better_tg_satcen_01_02_01_queue_tg_satcen_01_02_01_queue_0_5 is deployed
Feed the queue¶
In [16]:
process = wps.describeprocess(co_trigger_queue_process_id)
print process.title
print process.abstract
Trigger for the SATCEN-01-02-01 Queue Coordinator
Coordinator: Trigger for the SATCEN-01-02-01 Sentinel-1 Multi-temporal SLC Stack and Multi-temporal Coherence stack data pipeline - Queue
In [17]:
for data_input in process.dataInputs:
print data_input.identifier
series
data_pipeline
wps_url
process_id
api_key
tg_quotation
update
start
stop
geom
product_type
q
crop_wkt
algorithm
t2_coordinator_date_start
t2_coordinator_date_stop
t2_coordinator_period
t2_coordinator_name
quotation
_T2Username
Define the input parameters¶
In [18]:
mode = 'Queue'
inputs = [('series', series),
('data_pipeline', data_pipeline),
('wps_url', wps_url_apps),
('process_id', app_process_id),
('api_key', datapipeline_api_key),
('tg_quotation', tg_quotation),
('update', ''),
('start', start_queue),
('stop', end_queue),
('geom', wkt.replace(' ', '%20').replace(',', '%2C')),
('product_type', product_type),
('q', free_text),
('crop_wkt', wkt),
('algorithm', 'FULL'),
('t2_coordinator_date_start', coordinator_date_start),
('t2_coordinator_date_stop', coordinator_date_stop),
('t2_coordinator_period', coordinator_period),
('t2_coordinator_name', coordinator_name),
('quotation', tg_quotation),
('_T2Username', data_pipeline)]
Submit the coordinator request¶
In [19]:
execution = owslib.wps.WPSExecution(url=wps_url_triggers)
execution_request = execution.buildRequest(co_trigger_queue_process_id,
inputs,
output=[('coordinatorIds', False)])
execution_response = execution.submitRequest(etree.tostring(execution_request, pretty_print=True))
execution.parseResponse(execution_response)
execution.statusLocation
monitorExecution(execution)
if not execution.isSucceded():
raise Exception('Coordinator %s creation failed' % co_trigger_queue_process_id)
In [20]:
coordinator_id = str(json.loads(execution.processOutputs[0].data[0])['coordinatorsId'][0]['oozieId'])
In [21]:
coordinator_id
Out[21]:
'0001134-181221095105003-oozie-oozi-C'
** DANGER ZONE **
In [127]:
answer = raw_input('Are you sure you want to kill the coordinator %s (YES I DO to confirm)?' % coordinator_id)
if answer == 'YES I DO':
r = requests.put('%s:11000/oozie/v1/job/%s?user.name=oozie&action=kill' % (production_centre, coordinator_id))
if r.status_code:
print 'Coordinator %s killed' % coordinator_id