Coordinator - better-wfp-00001 pipe

This coordinator processes the better-wfp-00001 data pipeline queue for the Sentinel-1 backscatter timeseries

• First do the imports of the Python libraries required

import sys
import os

import owslib
from owslib.wps import monitorExecution
from owslib.wps import WebProcessingService


import lxml.etree as etree
import json
import cioppy

from shapely.wkt import loads
import getpass

import folium

from datetime import datetime, timedelta
import dateutil.parser

from nbconvert.preprocessors import ExecutePreprocessor, CellExecutionError
import nbformat as nbf

import requests

• Read the data pipeline configuration information:

%store -r

nb_config = os.path.join('..', 'configuration.ipynb')

nb = nbf.read(nb_config, 4)

exec(nb['cells'][1]['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_pipe = dict([('artifact_id', trigger_pipe_artifact_id),
                      ('version', trigger_pipe_version),
                      ('repository', repository),
                      ('folder', folder),
                      ('community', community)])

trigger_pipe_process_id = '%s_%s_%s_%s' % (trigger_pipe['community'].replace('-', '_'),
                                           trigger_pipe['artifact_id'].replace('-', '_'),
                                           trigger_pipe['artifact_id'].replace('-', '_'),
                                           trigger_pipe['version'].replace('.', '_'))

print 'This notebook will process the queue of %s with the trigger %s' % (app_process_id,
                                                                          trigger_pipe_process_id)

This notebook will process the queue of ec_better_ewf_wfp_01_01_01_ewf_wfp_01_01_01_1_16 with the trigger ec_better_tg_wfp_01_01_01_pipe_tg_wfp_01_01_01_pipe_0_11

Queue selection parameters

series = 'https://catalog.terradue.com/%s/series/source-queue/description' % data_pipeline

series

'https://catalog.terradue.com/better-wfp-00001/series/source-queue/description'

Coordinator parameters

coordinator_name = 'co_%s_pipe' % data_pipeline

coordinator_date_start = '2019-01-27T00:00Z'
coordinator_date_stop = '2019-01-27T23:59Z'
coordinator_period = '0 16 * * *'

start_pipe = '${coord:formatTime(coord:dateOffset(coord:nominalTime(), -2, \'HOUR\'), "yyyy-MM-dd\'T\'HH:mm:ss\'Z\'")}'
end_pipe = '${coord:formatTime(coord:dateOffset(coord:nominalTime(), -0, \'HOUR\'), "yyyy-MM-dd\'T\'HH:mm:ss\'Z\'")}'

co_trigger_pipe_process_id = 'coordinator_%s' % trigger_pipe_process_id

Common Parameters

tg_quotation = 'No'
recovery = 'No'
_T2Username = data_pipeline

Check data transformation application

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()

The process ec_better_ewf_wfp_01_01_01_ewf_wfp_01_01_01_1_16 is deployed

Check trigger coordinator

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 pipe coordinator process %s is not deployed" % co_trigger_pipe_process_id

for index, elem in enumerate(wps.processes):

    if elem.identifier == co_trigger_pipe_process_id:
        message = "The pipe coordinator process %s is deployed" % co_trigger_pipe_process_id
        found_process = True

        print message

if not found_process:
    raise Exception(message)

The pipe coordinator process coordinator_ec_better_tg_wfp_01_01_01_pipe_tg_wfp_01_01_01_pipe_0_9 is deployed

Process the queue

process = wps.describeprocess(co_trigger_pipe_process_id)

print process.title

print process.abstract

WFP-01-01-01 Trigger - Pipe Coordinator
Coordinator: Trigger for the WFP-01-01-01 Sentinel-1 backscatter timeseries data pipeline - Pipe

for data_input in process.dataInputs:
    print data_input.identifier

series
data_pipeline
wps_url
process_id
api_key
recovery
t2_coordinator_date_start
t2_coordinator_date_stop
t2_coordinator_period
t2_coordinator_name
quotation
_T2Username

inputs = [('series', series),
          ('data_pipeline', data_pipeline),
          ('wps_url', wps_url_apps),
          ('process_id', app_process_id),
          ('api_key', datapipeline_api_key),
          ('recovery', 'No'),
          ('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

execution = owslib.wps.WPSExecution(url=wps_url_triggers)

execution_request = execution.buildRequest(co_trigger_pipe_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)

coordinator_id = str(json.loads(execution.processOutputs[0].data[0])['coordinatorsId'][0]['oozieId'])

coordinator_id

'0028293-180330140554685-oozie-oozi-C'

** DANGER ZONE **

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