Coordinator queue

This coordinator feeds the data pipeline queue

• 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 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
datapipeline_api_key = getpass.getpass('API key:')

• 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('.', '_'))
app_process_id = app_process_id.replace('ewf_','')
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_wfp_01_03_01_wfp_01_03_01_1_5 with the trigger ec_better_tg_wfp_01_03_01_queue_tg_wfp_01_03_01_queue_1_2

Application parameters

bbox = 'POLYGON ((11.50307555189977 -11.11416337069092, 41.03432555189977 -11.11416337069092, 41.03432555189977 -34.97636566938584, 11.50307555189977 -34.97636566938584, 11.50307555189977 -11.11416337069092))'
min_mag = 5
buffer_size = '0.9'
region_name = 'SouthernAfrica'

bbox

'POLYGON ((11.50307555189977 -11.11416337069092, 41.03432555189977 -11.11416337069092, 41.03432555189977 -34.97636566938584, 11.50307555189977 -34.97636566938584, 11.50307555189977 -11.11416337069092))'

Coordinator parameters

coordinator_name = 'co_%s_validation_queue' % data_pipeline

start_queue = '${coord:formatTime(coord:dateOffset(coord:nominalTime(), -1, \'MONTH\'), "yyyy-MM-dd\'T\'HH:mm:ss\'Z\'")}'
end_queue = '${coord:formatTime(coord:dateOffset(coord:nominalTime(), -1, \'DAY\'), "yyyy-MM-dd\'T\'HH:mm:ss\'Z\'")}'

co_trigger_queue_process_id = 'coordinator_%s' % trigger_queue_process_id

coordinator_date_start = '2019-04-01T00:00Z'
coordinator_date_stop = '2020-01-01T00:00Z'
coordinator_period = '0 0 1 * *'

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(message)

The process ec_better_wfp_01_03_01_wfp_01_03_01_1_5 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 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_wfp_01_03_01_queue_tg_wfp_01_03_01_queue_1_2 is deployed

Feed the queue

process = wps.describeprocess(co_trigger_queue_process_id)

print process.title

print process.abstract

Vegetation Indicators Aggregations Trigger - Queue Coordinator
Coordinator: Trigger for the COPERNICUS Vegetation Indicators Aggregations Pipeline - Queue

for data_input in process.dataInputs:
    print data_input.identifier

series
data_pipeline
wps_url
process_id
api_key
start_time
end_time
N_1
N_3
N_6
N_9
N_12
N_15
N_18
N_27
N_36
regionOfInterest
nameOfRegion
t2_coordinator_date_start
t2_coordinator_date_stop
t2_coordinator_period
t2_coordinator_name
quotation
_T2Username

Define the input parameters

mode = 'Queue'

inputs = [('data_pipeline', data_pipeline),
          ('series', 'https://catalog.terradue.com/cgls/description'),
          ('wps_url', wps_url_apps),
          ('process_id', app_process_id),
          ('api_key', datapipeline_api_key),
          ('username', data_pipeline),
          ('tg_quotation', tg_quotation),
          ('start_time', start_queue),
          ('end_time', end_queue),
          ('regionOfInterest', bbox),
          ('nameOfRegion', region_name),
          ('buffer_size', buffer_size),
          ('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),
          ('N_1', 'No'),
          ('N_3', 'Yes'),
          ('N_6', 'No'),
          ('N_9', 'No'),
          ('N_12', 'No'),
          ('N_15', 'No'),
          ('N_18', 'No'),
          ('N_27', 'No'),
          ('N_36', 'No')]

Submit the coordinator request

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)

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

coordinator_id

'0036725-181221095105003-oozie-oozi-C'

** DANGER ZONE **

Suspend the coordinator

answer = raw_input('Are you sure you want to suspend the coordinator %s (YES I DO to confirm)?' % coordinator_id)

if answer == 'YES I DO':
    url = '%s:11000/oozie/v1/job/%s?user.name=oozie&action=%s' % (production_centre,
                                                                  coordinator_id,
                                                                 'suspend')
    r = requests.put(url)
    print r.status_code

    if r.status_code:
        print 'Coordinator %s suspended' % coordinator_id

Kill the coordinator

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