Test feeding the queue (on Production Centre)ΒΆ

This Jupyter Notebook queries the catalog for a Sentinel2 L2A product or a BETTER-common L2A-p product. The same set of products is then put in the data pipeline queue using the trigger WPS service.

  • 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 lxml.etree as etree

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
  • 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'][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_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 queue to invoke the application %s with the trigger %s' % (app_process_id,
                                                                                              trigger_queue_process_id)

This notebook will create a queue to invoke the application ec_better_ewf_satcen_01_03_01_ewf_satcen_01_03_01_0_7 with the trigger ec_better_tg_satcen_01_03_01_queue_tg_satcen_01_03_01_queue_0_7
  • Set the data discovery parameters
In [3]:

# We can use Sentinel2 index for datasets acquired out of Europe after 13th December 2013 (Sentinel2 L2A data have been being worldwide disseminated from ESA since the midlle of December 2018)
# the corresponding productType is S2MSI2A while is S2MSI2Ap for datasets produced with SEN2COR

series = 'https://catalog.terradue.com/better-common-00001/series/results/description'
#series = 'https://catalog.terradue.com/sentinel2/description'

start_date = '2018-06-01T00:00:00Z'
stop_date = '2018-07-31T23:59:59Z'

s2_prd_type = 'S2MSI2Ap'
#s2_prd_type = 'S2MSI2A'

geom ='MULTIPOLYGON (((-77.24516666666666 0.9424444444444445, -77.24516666666666 2.753833333333333, -79.0253888888889 2.753833333333333, -79.0253888888889 0.9424444444444445, -77.24516666666666 0.9424444444444445)), ((21.29611111111111 39.58638888888889, 21.29611111111111 41.032, 19.89788888888889 41.032, 19.89788888888889 39.58638888888889, 21.29611111111111 39.58638888888889)), ((65.02055555555556 30.43894444444445, 65.02055555555556 33.39566666666666, 63.94222222222222 33.39566666666666, 63.94222222222222 30.43894444444445, 65.02055555555556 30.43894444444445)), ((19.6875 44.82172222222222, 19.6875 45.97733333333333, 18.70788888888889 45.97733333333333, 18.70788888888889 44.82172222222222, 19.6875 44.82172222222222)))'


In [4]:

wkt = loads(geom)[2].wkt

print wkt


POLYGON ((65.02055555555556 30.43894444444445, 65.02055555555556 33.39566666666666, 63.94222222222222 33.39566666666666, 63.94222222222222 30.43894444444445, 65.02055555555556 30.43894444444445))

In [5]:

search_params = dict([('geom', wkt),
                      ('start', start_date),
                      ('stop', stop_date),
                      ('pt', s2_prd_type),
                      ('count',1000)
                    ])

ciop = cioppy.Cioppy()

search = ciop.search(end_point=series,
                     params=search_params,
                     output_fields='self,enclosure,identifier,wkt,updated',
                     timeout=300000,
                     model='GeoTime')

In [6]:

for index, elem in enumerate(search):
    print(index, elem['identifier'], elem['updated'])

(0, '06519411b399ae338b4d7ee3b7dd5f718edc0f64', '2018-11-15T15:07:53.1965050+00:00')
(1, '21fa2f623430e197519b52389f0efc1113b495da', '2018-11-15T19:31:34.2118880+00:00')
(2, '2a85f072e9f4af1a2edb8eaa4c7d4f815fe85f6e', '2018-11-15T17:41:07.9135000+00:00')
(3, '2b0ad8c3d9c7ed240b9b57b89b92374d109a4468', '2018-12-12T15:50:25.4891250+00:00')
(4, '605e63c7681921a59b27f239ab5d03fb4b876aee', '2018-12-12T19:28:16.8041110+00:00')
(5, '634e902107d9bd7712a756e6727b72000726f97f', '2018-11-15T18:00:08.8342470+00:00')
(6, '7722ea3f6bcd3de8e361fc39c81561b1c4788131', '2018-11-15T18:47:49.1386740+00:00')
(7, '8ab2c69343a0fa27f300004dfbbaa3344447a580', '2018-12-12T16:48:27.2403460+00:00')
(8, '96136d2f5bfd00bdba38c372fccb7f743775be69', '2018-11-15T16:46:55.6628160+00:00')
(9, '97ea001512d069b0d9e92ff805567898badd0018', '2018-12-12T16:16:10.1377890+00:00')
(10, 'a919ab969cde8d7652c49fe6ef16f87175ab7c53', '2018-12-12T18:16:57.9736610+00:00')
(11, 'ac10395d436aedfe6f8d6120bbb9985cf16bdec0', '2018-11-15T17:17:34.8246700+00:00')
(12, 'ac1fdd0571d7003e488bfcf2535538285110e544', '2018-12-12T17:58:43.1394480+00:00')
(13, 'c50d586ab5ab1a804c2c73d00b61f869d46bf260', '2018-12-12T17:40:14.1458470+00:00')
(14, 'c6894cd177173073d94c3e68a801a7a18b648363', '2018-12-12T17:18:51.8517940+00:00')
(15, 'de25256505a45bfee259a41a7ec19c649d283c72', '2018-12-12T18:55:20.9842060+00:00')
(16, 'e97a81664fd94eeb8b52ff346ce6a06b1f37c855', '2018-11-15T15:45:14.0744400+00:00')
(17, 'ed896a0fb28dd4ef6c4bcb48bbe7d8c1df9158f4', '2018-11-15T14:36:33.6142300+00:00')
(18, 'f5c9646381fbd9f61d9f520dd47255e09af50bb2', '2018-11-15T20:15:45.8886280+00:00')
(19, 'f7a09caa3336aea3e959ef84f104f4438c593db4', '2018-12-12T20:03:56.7936880+00:00')
(20, '0a2e890dcbb93251e1b24d02807647634ba865c8', '2018-11-15T23:54:25.8847140+00:00')
(21, '16a9f32118ebac5a80c4cdae1f9e81c10bbd83d9', '2018-12-12T21:39:58.6338110+00:00')
(22, '3452923c10507ae95b63fad83aae0a15ff28eda0', '2018-12-12T22:35:39.9382350+00:00')
(23, '39db5cb8a13d048ee7ae5abef7f02b64c58771d5', '2018-12-12T22:08:22.1968520+00:00')
(24, '4c532292db5f81c73760e3e46ca022d2a69aa479', '2018-11-16T00:39:55.1358290+00:00')
(25, '53ee30b0394042a87fb292d311442574b09c3358', '2018-12-13T00:49:21.9347800+00:00')
(26, '5732f0782524d111dbb59d2f4301ec5ad00a1803', '2018-11-15T22:19:52.5188290+00:00')
(27, '651b3b5e35b1cc632d88f0ae909b4672c22e20a1', '2018-12-12T20:30:54.6265580+00:00')
(28, '65be9a8b28b9404f2d64c36f66847193c50dcd9f', '2018-12-12T23:11:02.0379030+00:00')
(29, '9baa1ae55ce01da3ede980ca4d73fa94841a9f0e', '2018-12-12T23:55:08.4960460+00:00')
(30, '9f8c8134a92d2386d71bc1c754b1cdff7aebacc5', '2018-11-15T21:41:53.5917280+00:00')
(31, 'a48307e5c623b954d7fb18380d83c64e75648870', '2018-11-15T22:51:34.6169830+00:00')
(32, 'a4835ced67a47254e95a9ae08617454f8b71ef91', '2018-12-12T21:05:01.1365060+00:00')
(33, 'b5de64ec690aad5dfa3d079dd3cfcd2a662180c6', '2018-12-13T00:17:42.0735120+00:00')
(34, 'b8f011482d5e39f5007b60a27089aee249543d98', '2018-11-16T00:21:10.7054780+00:00')
(35, 'bd392835514afe45eb2f4260789f3e42803ccd6d', '2018-12-13T01:06:39.6470860+00:00')
(36, 'c0061c10c1208f4dd24d75bfdbf3e5d39393635c', '2018-11-16T01:10:14.4200240+00:00')
(37, 'd5da06c9e55abf1119e6dad6b71b0b0abdb7ec58', '2018-12-12T23:31:33.6215030+00:00')
(38, 'd8bd6dfc177572f928835cfb3b8653214c264a49', '2018-11-15T23:33:57.3120130+00:00')
(39, 'd99280571083bcd099f2cf0a984efca2d240741a', '2018-11-16T01:37:18.5785960+00:00')
(40, '181fb70f7dc5e8352a6860790d52ac5932f7b4fb', '2018-11-15T21:23:24.5236240+00:00')
(41, '811723033269bff0ae64dd62ccde19c129775afd', '2018-11-15T20:50:15.9142870+00:00')
(42, '1d10395d8211dec89458e40e2510a34db7772209', '2018-11-16T02:35:38.2158010+00:00')
(43, '1f9e4b52a3ca8657915b31f900512a6471f5fd8c', '2018-11-15T15:50:45.2030140+00:00')
(44, '23a926437c8a0e642f0e602a40b4f1e61359c55d', '2018-12-13T02:02:33.6614630+00:00')
(45, '4127cd3bbf0fef5ad84c0e9c5eabdb07d2a61f33', '2018-12-13T01:37:17.9274180+00:00')
(46, '551ae7d0c795843486a7458fefc1e6f8f1f418db', '2018-12-12T16:20:13.7755180+00:00')
(47, '57e3ac2daaa7d34764ff5f9cc8ec627a58bed99d', '2018-11-15T15:11:14.9712270+00:00')
(48, '61be33989f169e5e8d9982b014d6485c8fcd97a4', '2018-12-12T15:40:57.7725250+00:00')
(49, '6350d46eca769fd5306935131d33fb2699519cb3', '2018-11-16T03:42:40.1739500+00:00')
(50, '73a4ab75a8b8acf45c464b183ece0c94d0803128', '2018-12-12T16:02:33.0787880+00:00')
(51, '762c071c469ad25bf453d91354e9c0993e9972bf', '2018-12-12T17:32:33.5628620+00:00')
(52, '839f6ce2d4e06d65076e4a6cb382646480a0cf72', '2018-11-15T17:27:49.3744960+00:00')
(53, 'a83c56cd490ffe176b31798c4cedf672162c4794', '2018-11-15T16:48:20.5748610+00:00')
(54, 'ae7031ac85147325664dbaf7edb231961d775c33', '2018-11-16T02:07:48.4632850+00:00')
(55, 'b4f12722df8bf40d54fee45c45df167c937c3b20', '2018-12-13T03:05:33.5127800+00:00')
(56, 'b6bf17b5509b6592f19f8989798254fe7e1d4c93', '2018-12-12T18:08:49.6850290+00:00')
(57, 'cd7443b57aa229788b0184611b2266caced3aa13', '2018-12-13T02:35:12.0544890+00:00')
(58, 'd4c2cb5376ef8b62a54aea91854bcb780f88e506', '2018-12-12T16:56:05.7703150+00:00')
(59, 'd8d498e020b15590adcbfbef374b6ec6d45789a7', '2018-11-16T03:09:26.9468640+00:00')
(60, '87e3fcc5562d0f0963cfa423a4d3b2436e0cca79', '2018-11-15T14:28:18.6299740+00:00')
(61, 'bc1fc9df6c12d2a66034896ae2467c0cdaae7701', '2018-11-15T14:52:59.1556300+00:00')
(62, '041dfee2c8a071f6295c1774717445568217904a', '2018-12-12T22:00:56.5270070+00:00')
(63, '08d7f6ea07dc9b277fe2ce648e9be62dcbafbfac', '2018-11-15T21:33:07.4788110+00:00')
(64, '0f952ab609e774c7ad3b282609f3adb5cd2520f4', '2018-12-12T21:14:41.3437300+00:00')
(65, '12df9875709030875bfa227bb0bd48b713917cb9', '2018-11-15T20:25:28.3946910+00:00')
(66, '2caf118e8a52439e5a067cfd52052c4554987447', '2018-12-12T21:35:50.2859500+00:00')
(67, '32bb33d23021d2258701ec54cb4a62adc748c755', '2018-11-15T18:01:09.0861140+00:00')
(68, '463b6f91762cfc45c35db4d7620f629d9f1a1ed2', '2018-12-12T19:13:11.8896000+00:00')
(69, '6472a1a45c3b5db9f28de8837aeb0dcc8972495a', '2018-11-15T19:39:22.0960910+00:00')
(70, '6b7c4ded3e29ad40848f234e6ae5d7f080ed71cc', '2018-12-12T20:40:54.7268980+00:00')
(71, '7028039f661ecfc9ddc8cc4eca12bb56fec5bc6d', '2018-11-15T21:10:45.0216600+00:00')
(72, '9b68018f73620e83e3299c5b4a7c5eb494e7c2b7', '2018-11-15T22:01:14.3447930+00:00')
(73, 'a1652f1d1a39868c02ae3b0924111fff1f212aa9', '2018-12-12T18:41:22.6946660+00:00')
(74, 'b75b4dc6e1fa14a6cc91aa97acd1cca3467667c4', '2018-12-12T20:05:29.6625660+00:00')
(75, 'ce8497d58774c9469899e8ccaa893c49226b3c37', '2018-12-12T19:28:33.9895170+00:00')
(76, 'd8c2bd8a1ce04eea1a3e4e3b3f7262d78c4db5a6', '2018-11-15T18:57:09.9225260+00:00')
(77, 'dae45e2ed1c794e46d2b5651cd4d691ed4f8362f', '2018-12-12T22:30:36.5790830+00:00')
(78, 'f145051b827f8d1feb266b62749be540e6d8a4a8', '2018-11-15T18:38:55.2772510+00:00')
(79, 'fc8269233ec90c80ca719b721c644143a2e3a13b', '2018-11-15T22:38:15.2629630+00:00')
(80, '06c9e3c41c971c5fbed29fa151aa24804239aa4e', '2018-12-13T00:54:25.0437480+00:00')
(81, '27bb11e815727a4be0a613b7171a896ac036accc', '2018-11-16T01:34:48.6785580+00:00')
(82, '284aa824bfbc746ffd5e377325fefd2c3af27966', '2018-11-15T23:40:21.8479050+00:00')
(83, '2bc18f3c7272bd81855d0db1f764635f934218ae', '2018-11-15T14:51:36.9178620+00:00')
(84, '35c34e5cd3df14e576110092d4c9321c45efd789', '2018-11-16T01:13:22.2766590+00:00')
(85, '373688266f9f2a72f5bd25293b374a36d5f45d63', '2018-12-13T02:39:57.5713110+00:00')
(86, '446afea199ef6e8ea94b40c1ae3825c632ae14d2', '2018-11-16T01:51:09.8944190+00:00')
(87, '4db938f2714caca5b1a4e155c35696c955adaa8e', '2018-12-12T22:59:23.4560870+00:00')
(88, '5a8e53e98d15a0b39852de2e5a8d57bea15575df', '2018-12-13T02:08:18.0742970+00:00')
(89, '68fb219ed87afa8ee74af83662b3ee3cea6d9eea', '2018-12-13T00:33:14.8370210+00:00')
(90, '7b63c356d3efa353306403b47ecfea2ec4e89ca1', '2018-12-12T23:25:13.9041450+00:00')
(91, '87582b21b846d5164c30bb1c6dd047a032c1c775', '2018-11-15T23:13:13.0395320+00:00')
(92, '972cfd28bc45241a4241f914296abbef17229f63', '2018-12-13T03:13:27.6800060+00:00')
(93, '9ece6304c23fedfba69b1c8db0c803bc6355795a', '2018-11-16T03:04:28.4761440+00:00')
(94, 'abe99c1f59ef1687f4120d9053e55bedc7abca31', '2018-11-16T02:28:11.4853020+00:00')
(95, 'b13da4012bbf35c6b0db4b23ad49ffabee99057c', '2018-11-16T00:17:16.7789600+00:00')
(96, 'ce4313fb81ca8d542e39b8a989784c53d3076138', '2018-12-13T01:14:33.2634760+00:00')
(97, 'd5f59e812cefe0e304ba6d3505b421848b720107', '2018-12-13T00:00:39.3702080+00:00')
(98, 'ed7346101623924e0dc218a79e728d43a214bd6b', '2018-11-16T00:48:07.5778820+00:00')
(99, 'f25701823e6565a74f5f40fa0b5eb2470c824034', '2018-12-13T01:32:11.9798120+00:00')
(100, '02943751355f4698d0d1dfe0fb0498d2f36683da', '2018-11-15T16:48:13.5870500+00:00')
(101, '05d481208adb351a9e9cb7185f7feb509821fb14', '2018-12-12T16:58:48.7017030+00:00')
(102, '1433f42bcccfd19d4877934216881736406901b2', '2018-12-12T15:55:25.7520020+00:00')
(103, '485ad55d20095a6553152d05ca5cce7955f40a03', '2018-12-12T18:05:51.1564400+00:00')
(104, '69333ed601c2d21ce119ca26cae15a83124b962f', '2018-12-12T16:27:49.1939560+00:00')
(105, 'ba0b58d85e2d33db61016beffb9ed62f80a0ef8d', '2018-11-15T18:11:08.7872360+00:00')
(106, 'bd6a6cf3394aba0d93422216ac85a4d253466621', '2018-12-12T17:29:11.7536110+00:00')
(107, 'c00d7842e5b3f948759b2931ad6a3bee054555df', '2018-11-15T15:26:54.7237340+00:00')
(108, 'd0c14d3013c3bbb7eeb4d66c8a55fdf4cb468457', '2018-11-15T17:30:43.4289650+00:00')
(109, 'e982a3125df4ac6cff4d8a6273018d475b78741d', '2018-11-15T16:11:19.5718790+00:00')
(110, '1262d902112fbd344cb5eec75622f4fd358c3d41', '2018-12-12T18:38:48.8913820+00:00')
(111, '3a21a46937a2052f6604e085390519ce32fe1b94', '2018-11-15T20:00:49.0195660+00:00')
(112, '4383786fb36f921248780e250f1b787dcbdd93a3', '2018-11-15T21:10:52.7539190+00:00')
(113, '491cf90cba01e943b5f64c1376887d5275322dc9', '2018-12-12T19:03:29.2314020+00:00')
(114, '6db2883fa01d9afafc5cb2ed72d68e7e409c00bd', '2018-12-12T19:39:12.6876490+00:00')
(115, 'a824efa698d839956d914749adec5f9c55089c76', '2018-11-15T18:47:28.2447110+00:00')
(116, 'c50603b251daecfb5b336924cf410e161b7e4928', '2018-12-12T19:58:31.9651000+00:00')
(117, 'c77379ee6bd0c331c480480677c72404f0182366', '2018-11-15T19:16:49.2756060+00:00')
(118, 'c9e91c2fa55baf6f0be03c040eb724bfee4d20f9', '2018-11-15T20:23:59.2575370+00:00')
(119, 'f7738b87067faca7fad1124f087027de8f327f8c', '2018-12-12T20:34:11.4680270+00:00')
(120, '11c09e6138f14c1279e25c9da3ca71a88638e6b1', '2018-12-12T21:06:52.6017820+00:00')
(121, '2d3bb127e423e494c495dccbfbdf2f40c76712a6', '2018-11-15T23:28:08.1797530+00:00')
(122, '2e9f0efed54d11d71f98f5fa7f3aa188666ff095', '2018-12-12T21:41:45.5796620+00:00')
(123, '2f892193524506627586c77104e40cba562ad920', '2018-11-16T00:11:22.0739420+00:00')
(124, '382e93f5e563a2c3eebbfc102592536f9b093289', '2018-11-15T21:42:46.5125270+00:00')
(125, '6b42e47b5f963a205194d7024ef7ef63468db956', '2018-12-12T22:32:57.8568930+00:00')
(126, '7583ad7bc2baa62e91e243df6fbf3d7702b43f18', '2018-12-12T23:06:04.6342180+00:00')
(127, '79018b4a90ee90b03e51a29b18543d1fdb68489c', '2018-11-15T22:25:38.0103260+00:00')
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(282, '1f693710ac507390d2ca1fe5e1526c17c5aea5cc', '2018-11-15T23:23:17.4291010+00:00')
(283, '5e0480f36c2be13f38880e3733b89cb44b15669b', '2018-11-15T23:06:49.3220670+00:00')
(284, '776a3fbee21ef27c57f60ff2950092e41c71c411', '2018-11-16T02:09:32.7821750+00:00')
(285, 'cadc523c850181027f6d9b911e9d7be33b2a9d61', '2018-11-16T01:34:33.4974180+00:00')
(286, 'd009add082d8283938888bab97d0b27e343ea134', '2018-11-16T00:41:10.0348420+00:00')
(287, 'fb19e927963a0d6b9498949da5790a53cdb7f373', '2018-11-15T23:58:43.6152210+00:00')
(288, '17a51b42cbb5bbad20a4f72c78c3f7979fc5b675', '2018-12-13T02:59:44.2527190+00:00')
(289, '241e514758c36f35118a8a762df1e6ef34ef8e55', '2018-12-13T03:21:11.9524020+00:00')
(290, '24c794b40094bc1ca93099ef2b7fa1b705ef3b15', '2018-12-12T16:47:40.9408040+00:00')
(291, '5d1fb57a1654f0f74b31d1162f66ae8834d1581f', '2018-12-12T17:21:21.6926810+00:00')
(292, '7a91c558f5c76b8917ea6a111237a8531a55b0b9', '2018-11-15T18:04:55.6110170+00:00')
(293, '7e5bc104261ec49d5a83144893a73267b293a160', '2018-11-15T18:48:04.6624340+00:00')
(294, 'a3c32e98c21a84c576f45a80860d47165759016f', '2018-12-13T01:55:25.0579990+00:00')
(295, 'adc029e8e45b5fb7444cf8fc06c721cca9c3fde6', '2018-11-16T03:38:26.6915340+00:00')
(296, 'bdb64d72f509eedfbfda9d62110d0a6f6b5a426f', '2018-12-12T15:40:10.8522860+00:00')
(297, 'c5301bfd8bb707a03b73856c5c3465fe41976230', '2018-12-13T01:28:05.0992760+00:00')
(298, 'd9d2a76d469f42717e892993579c047cbeb50335', '2018-12-12T16:12:17.3715090+00:00')
(299, 'e856d12f04b87c6c3bd718df6151d747894a7c54', '2018-12-13T02:27:13.1420720+00:00')
(300, '3a179b1ec4941cf75a4fcd3fb370363c1286bb74', '2018-11-15T16:40:18.7972110+00:00')
(301, '3d0feb6626b54a10141eafdd0bc57723c929394c', '2018-11-15T14:29:40.2402500+00:00')
(302, '5d1dc19cdd441377bacc0e2e78f40df990e4da9e', '2018-11-15T15:47:58.8270710+00:00')
(303, '7fc9f5e65c4f84f9f3331f9be5ab822338f406dc', '2018-11-15T15:14:48.6866630+00:00')
(304, '8d4a54930f37173ee60f980ab3b4d4d200b26cee', '2018-11-15T16:17:23.1146340+00:00')
(305, 'aa1b911d2a5838bb0ddc58e682ee705beeb05776', '2018-11-15T17:21:43.6851580+00:00')
(306, '0b28d87113f50da4ca2c42b3598a62d7b654f48c', '2018-12-12T20:40:31.2868350+00:00')
(307, '1cf635b8d29b8440241a1032c027580f351f93f8', '2018-11-15T23:09:11.6058430+00:00')
(308, '1d982ae874794299fc825a2b26ea4a53795b6076', '2018-12-12T18:09:44.4777090+00:00')
(309, '4aee94ef3c4574466c1ccb4e94fa5cc053f63302', '2018-12-12T21:12:34.6702680+00:00')
(310, '5e146f415f200981763f9382cebc117be997d27d', '2018-12-12T20:09:16.2938290+00:00')
(311, '6749ff0eecc7c0bce7d63040f2688e04ebf15a7e', '2018-11-15T21:49:22.2584450+00:00')
(312, '6f9bab248acff23472bb85180e10c5e5370c0750', '2018-11-15T22:52:30.2619690+00:00')
(313, '80897c50f6d90af1a81e73a9053920ce641aea40', '2018-12-12T19:21:09.8301290+00:00')
(314, '92f9c9ef89f8ceba3baa8efe740d6a9afe518b65', '2018-11-15T23:50:08.3995240+00:00')
(315, 'a7c7f8ddcca9d6b8bd70573a12dc6547a74488c3', '2018-12-12T18:48:22.5826940+00:00')
(316, 'd67c1d8613806c532f248acc4a5b054591e44e2c', '2018-12-12T19:45:18.5834690+00:00')
(317, 'd70ce26f11e73268ed3d7684c408f17fcd5d92d4', '2018-12-12T21:49:38.1421880+00:00')
(318, 'd8ac68f2d31f32fcff5b0e5cb9325244e2035b33', '2018-11-15T22:20:57.5295080+00:00')
(319, 'fcb7f1c3444732c557cdf20ed7c76221b90d9bca', '2018-12-12T17:50:01.6594180+00:00')
(320, '097befa86014bbd02601d463d6609be67d03fa3d', '2018-11-15T19:22:19.0033240+00:00')
(321, '2da1d6274255ab7ebe297277dd29e817105d164c', '2018-11-15T20:00:04.2005670+00:00')
(322, 'c8eec658993cd14a7f874d3ff2f33fd75227c4c4', '2018-11-15T21:24:06.0194720+00:00')
(323, 'caf900f6e75794c631691b73a0558296cdda1c80', '2018-11-15T20:38:42.2526900+00:00')
(324, '1497fcc4b596f6483be3150ab89572a24f82e20b', '2018-11-16T00:45:14.5339190+00:00')
(325, '2f451703ff7ac3fb18c2505c84da7b146af90d84', '2018-12-13T00:10:27.5658210+00:00')
(326, '4c2db539fbd622ea6dcc2e198acd9f8abfa2b972', '2018-12-12T22:42:41.2228460+00:00')
(327, '66c9a6142ffe7e92718462e808b9442d861c5204', '2018-11-16T01:46:58.3227900+00:00')
(328, '69a16da05d8f75de27ad703acdbb4a8b2884b8b7', '2018-11-16T03:12:13.4296700+00:00')
(329, '7511d0af1bfd2855f024edd030210c6807c9d49b', '2018-11-16T02:13:02.2711420+00:00')
(330, '7db0cd644671bb690c2d9642fc5813fbe5d88668', '2018-11-16T01:14:16.3825940+00:00')
(331, '8e3307a2010d3291cbf852ea4dfebfd34a41ee83', '2018-12-12T22:17:08.6289850+00:00')
(332, '9bd2c6ab23e4f4c2b158f383dd9c88f57adf9559', '2018-12-12T23:47:49.6157090+00:00')
(333, 'a80ce77006464c4ce6420dcb5ef9bbf4ebd6079d', '2018-12-12T23:15:49.0350980+00:00')
(334, 'a9c2bd866568dd773becfce3ac55cdbf97655e8f', '2018-11-16T00:18:57.3918980+00:00')
(335, 'c9fc1c97f15bc724b4d8d250f504a1142cdfb951', '2018-12-13T01:02:00.0844960+00:00')
(336, 'ce81e3fc04a8738226b8f4038e4fa28ce0606a11', '2018-12-13T02:11:00.2676360+00:00')
(337, 'cfb1e23e41e0f8102d32c221fc1f388ed8f423db', '2018-12-13T01:37:52.6290920+00:00')
(338, 'f4351be1af8a8c385d5e2bc10042a5633b8ec9ff', '2018-11-16T02:33:16.6054360+00:00')
(339, 'fd670b6e7347d4005ab40843ebedb39ae9a66f58', '2018-12-13T00:28:29.7232400+00:00')
(340, '535eaac09a75659a09c6ffd76284606097951b5e', '2018-11-15T14:42:43.4424490+00:00')
(341, 'd9123b00d7220cef2da4050e813c78b325fa7825', '2018-11-15T15:29:23.7507660+00:00')
(342, '09c3aa1d6a1ff93e75884c4f88e81d51ee9eab44', '2018-12-13T03:12:28.5828770+00:00')
(343, '102d0c93f707441300728617a3cf8d44cf8803bf', '2018-11-15T18:35:31.1661120+00:00')
(344, '19d2f0cdcddf96ef2ba375d05fdc61899f3256fa', '2018-11-15T16:10:48.9769000+00:00')
(345, '2221cda4ef3fcf0fea61efdde22acccd7c1416a8', '2018-11-15T17:12:01.7844910+00:00')
(346, '22f601b854dc8e7f785ee487a280dc88e872df84', '2018-11-15T20:50:07.4210270+00:00')
(347, '2e3e7d056ee6d18a3209ed95ca4156591d0d185e', '2018-11-15T19:39:36.9705920+00:00')
(348, '3df6b2eddf6921ef787cc4e7133f3313dbcbbdf0', '2018-12-13T02:40:21.1367650+00:00')
(349, '44e81533d707b2a181124e19d52d00ddc320c812', '2018-12-12T17:22:55.7887670+00:00')
(350, '4be82a460030705c33c54690ff5271111d40a1a9', '2018-12-13T03:28:21.1798970+00:00')
(351, '4cd63230940abc982254c11a6b6570edd76c8352', '2018-12-12T17:49:30.4017610+00:00')
(352, '6c2811ce237340d4877907a60d1b5aba53a2dc74', '2018-12-12T16:30:41.9987950+00:00')
(353, '732a5edca4314c9bb47934a2d405f87b0894fce9', '2018-11-15T19:15:35.1672090+00:00')
(354, '80f805fc47e2f7057107b7391513ea045949ff68', '2018-11-15T17:58:04.5648080+00:00')
(355, '84d6201132abcb60b5cd26fcace30380998d45ac', '2018-12-12T18:21:14.7277100+00:00')
(356, '958e9f9eb820af007c81820f2f01becbd6ff2ca5', '2018-11-15T16:55:13.2624070+00:00')
(357, 'd0f13a667684b4a82fdddf0483f5a232e5fb8a08', '2018-12-12T17:02:24.5326250+00:00')
(358, 'd67058ef17da0848b00843158a5377f2226e2fe3', '2018-11-15T20:13:18.5983280+00:00')
(359, 'df5df992a49e99e4efd24bd488b886e1678ae7ac', '2018-12-12T15:58:25.8170890+00:00')
(360, '0386fc490f973473ab32c16977eba18303bd1c9a', '2018-11-15T23:04:11.3311530+00:00')
(361, '20a6b1c1efb22771a54a363c5d47c7200764e838', '2018-12-12T20:21:42.6632730+00:00')
(362, '265aa2beee1b528859924f980e4330960720a92e', '2018-12-12T21:34:58.6988190+00:00')
(363, '2a85b97ddc6750241557456ffad4844c966df60c', '2018-11-09T16:06:09.4738760+00:00')
(364, '3f137595650f96afe8d0e9469b936aaa329f160e', '2018-11-16T01:31:26.3773390+00:00')
(365, '4d6c77deb35afa831c6ab8e75206119e44275965', '2018-11-09T15:26:17.6011130+00:00')
(366, '618aa613420305d0464449b2747bed8597393dab', '2018-12-12T20:43:28.0616250+00:00')
(367, '752007dc371192e31a783b392b1f6f5e92534108', '2018-11-09T16:03:18.8151180+00:00')
(368, '96f51ffaa7b919f0633b5811a2530a9cf1f2ce30', '2018-12-12T19:49:25.3632040+00:00')
(369, '9707e508cb38ade23e02f9aa1470cee8b071032d', '2018-12-12T18:53:26.3634870+00:00')
(370, 'a88ca2489a69d4e8e0365b02affa8244fea5245d', '2018-11-15T22:29:04.4490500+00:00')
(371, 'a8958d41ec594a0ecd6cef26a62bd16ecbdd5ebf', '2018-12-12T22:48:45.2834750+00:00')
(372, 'ac83932340e0dd376bc0853dc8796294aa545ccd', '2018-11-09T16:44:58.4652440+00:00')
(373, 'ae6ace3be23e4ecb6c734c8dca7fd2de74e22a98', '2018-12-12T21:03:09.9189970+00:00')
(374, 'ca1d74fb98cf80ea7400de3f433ee883b666bda5', '2018-12-12T19:18:28.1684110+00:00')
(375, 'ec58604b77449d669d86ca2c2a8d01eeaa717b8e', '2018-11-09T16:28:24.1348990+00:00')
(376, 'fe3ed67918dbb7051fab5e6a29fabcbab12f0030', '2018-12-12T22:12:39.3302500+00:00')
(377, '1f88981a8a2ae8ae46d944657bae5efa01dfa8bd', '2018-12-13T03:13:28.2175790+00:00')
(378, '7875fd27660090f217d2c5b86e893ff2428dae56', '2018-12-13T02:42:41.2006950+00:00')
(379, 'dabd218660fed9d0d6e76e545c7f8a9019a77c8f', '2018-12-13T02:16:46.5394700+00:00')
(380, '06a90ba78dc733e7e92ee6ebeb88c4efc07438e8', '2018-12-12T23:47:40.3255070+00:00')
(381, '0869a0a90d2ed442805564ef9cb0bf1ee8838c97', '2018-11-16T01:58:46.8704690+00:00')
(382, '190f6790ff6f1c095c621130eefe6a1c6b1cca82', '2018-11-14T14:29:39.0971550+00:00')
(383, '2b0006c2d8360f5b9d668278556c46a79af0d537', '2018-11-14T16:00:27.7818380+00:00')
(384, '4d30fad871d894f5c6e8e9202f6b165a2997128f', '2018-12-13T01:17:53.5626350+00:00')
(385, '5860799e262ef9d9ab2a87cdcf15364ec7ae2500', '2018-11-14T16:34:01.8603570+00:00')
(386, '70d80ed5d641b43b5558b68d6c42d2292818dac7', '2018-12-13T00:05:11.4728500+00:00')
(387, '8fee33af9a1f5d536bc59b1db4a00ef9e1c57f8d', '2018-11-14T14:45:18.4564340+00:00')
(388, '93841b7be9c617ee57382fc3579073a660e15b1c', '2018-11-14T15:24:38.6546290+00:00')
(389, '953fba88beeef4c8e4a5582d911e12ef93150901', '2018-12-12T23:16:28.7654580+00:00')
(390, 'a2589d7958d1b9d5445bfedee1afa789f90b32d9', '2018-11-14T16:53:52.3046440+00:00')
(391, 'bbd4e24be7baa23c07de31edac0a27609ce958db', '2018-11-14T17:19:31.5921050+00:00')
(392, 'cd4d9b5da93a7494b1a0e979dc08189846de4953', '2018-11-14T17:48:23.7830540+00:00')
(393, 'ed73996b62b47e639f58c1686492c4d589d96151', '2018-12-13T01:53:13.6697430+00:00')
(394, 'f6c6d08dbe05baa0b82e7b504e51de237c27a726', '2018-12-13T00:42:49.1336440+00:00')

In [7]:


start_date='2018-12-12T15:40:00Z'
stop_date='2018-12-13T04:00:00Z'


search_params1 = dict([('geom', wkt),
                      ('update', '%s/%s' %(start_date,stop_date)),
                      ('pt', s2_prd_type),
                      ('count',200)
                    ])

ciop = cioppy.Cioppy()

search2 = ciop.search(end_point='https://catalog.terradue.com/better-common-00001/series/results/description',
                     params=search_params1,
                     output_fields='identifier,updated,startdate,enddate',
                     model='GeoTime')

If you want to check the items will be queued you can run:

for index, elem in enumerate(search2): print(index, elem)

In [8]:

for index, elem in enumerate(search2):
    print(index, elem['startdate'], elem['updated'])

(0, '2018-07-29T06:16:31.0240000Z', '2018-12-12T15:50:25.4891250+00:00')
(1, '2018-07-29T06:16:31.0240000Z', '2018-12-12T19:28:16.8041110+00:00')
(2, '2018-07-29T06:16:31.0240000Z', '2018-12-12T16:48:27.2403460+00:00')
(3, '2018-07-29T06:16:31.0240000Z', '2018-12-12T16:16:10.1377890+00:00')
(4, '2018-07-29T06:16:31.0240000Z', '2018-12-12T18:16:57.9736610+00:00')
(5, '2018-07-29T06:16:31.0240000Z', '2018-12-12T17:58:43.1394480+00:00')
(6, '2018-07-29T06:16:31.0240000Z', '2018-12-12T17:40:14.1458470+00:00')
(7, '2018-07-29T06:16:31.0240000Z', '2018-12-12T17:18:51.8517940+00:00')
(8, '2018-07-29T06:16:31.0240000Z', '2018-12-12T18:55:20.9842060+00:00')
(9, '2018-07-29T06:16:31.0240000Z', '2018-12-12T20:03:56.7936880+00:00')
(10, '2018-07-27T06:26:29.0240000Z', '2018-12-12T21:39:58.6338110+00:00')
(11, '2018-07-27T06:26:29.0240000Z', '2018-12-12T22:35:39.9382350+00:00')
(12, '2018-07-27T06:26:29.0240000Z', '2018-12-12T22:08:22.1968520+00:00')
(13, '2018-07-27T06:26:29.0240000Z', '2018-12-13T00:49:21.9347800+00:00')
(14, '2018-07-27T06:26:29.0240000Z', '2018-12-12T23:11:02.0379030+00:00')
(15, '2018-07-27T06:26:29.0240000Z', '2018-12-12T23:55:08.4960460+00:00')
(16, '2018-07-27T06:26:29.0240000Z', '2018-12-12T21:05:01.1365060+00:00')
(17, '2018-07-27T06:26:29.0240000Z', '2018-12-13T00:17:42.0735120+00:00')
(18, '2018-07-27T06:26:29.0240000Z', '2018-12-13T01:06:39.6470860+00:00')
(19, '2018-07-27T06:26:29.0240000Z', '2018-12-12T23:31:33.6215030+00:00')
(20, '2018-07-27T06:26:29.0240000Z', '2018-12-12T20:30:54.6265580+00:00')
(21, '2018-07-24T06:16:29.0240000Z', '2018-12-13T02:02:33.6614630+00:00')
(22, '2018-07-24T06:16:29.0240000Z', '2018-12-13T01:37:17.9274180+00:00')
(23, '2018-07-24T06:16:29.0240000Z', '2018-12-12T16:20:13.7755180+00:00')
(24, '2018-07-24T06:16:29.0240000Z', '2018-12-12T15:40:57.7725250+00:00')
(25, '2018-07-24T06:16:29.0240000Z', '2018-12-12T16:02:33.0787880+00:00')
(26, '2018-07-24T06:16:29.0240000Z', '2018-12-12T17:32:33.5628620+00:00')
(27, '2018-07-24T06:16:29.0240000Z', '2018-12-13T03:05:33.5127800+00:00')
(28, '2018-07-24T06:16:29.0240000Z', '2018-12-12T18:08:49.6850290+00:00')
(29, '2018-07-24T06:16:29.0240000Z', '2018-12-13T02:35:12.0544890+00:00')
(30, '2018-07-24T06:16:29.0240000Z', '2018-12-12T16:56:05.7703150+00:00')
(31, '2018-07-22T06:26:31.0240000Z', '2018-12-12T22:00:56.5270070+00:00')
(32, '2018-07-22T06:26:31.0240000Z', '2018-12-12T21:14:41.3437300+00:00')
(33, '2018-07-22T06:26:31.0240000Z', '2018-12-12T21:35:50.2859500+00:00')
(34, '2018-07-22T06:26:31.0240000Z', '2018-12-12T19:13:11.8896000+00:00')
(35, '2018-07-22T06:26:31.0240000Z', '2018-12-12T20:40:54.7268980+00:00')
(36, '2018-07-22T06:26:31.0240000Z', '2018-12-12T18:41:22.6946660+00:00')
(37, '2018-07-22T06:26:31.0240000Z', '2018-12-12T20:05:29.6625660+00:00')
(38, '2018-07-22T06:26:31.0240000Z', '2018-12-12T19:28:33.9895170+00:00')
(39, '2018-07-22T06:26:31.0240000Z', '2018-12-12T22:30:36.5790830+00:00')
(40, '2018-07-19T06:16:31.0240000Z', '2018-12-13T00:54:25.0437480+00:00')
(41, '2018-07-19T06:16:31.0240000Z', '2018-12-13T02:39:57.5713110+00:00')
(42, '2018-07-19T06:16:31.0240000Z', '2018-12-12T22:59:23.4560870+00:00')
(43, '2018-07-19T06:16:31.0240000Z', '2018-12-13T02:08:18.0742970+00:00')
(44, '2018-07-19T06:16:31.0240000Z', '2018-12-13T00:33:14.8370210+00:00')
(45, '2018-07-19T06:16:31.0240000Z', '2018-12-12T23:25:13.9041450+00:00')
(46, '2018-07-19T06:16:31.0240000Z', '2018-12-13T03:13:27.6800060+00:00')
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In [9]:

print 'Number of retrieved datasets: %s' %len(search2)


Number of retrieved datasets: 198

In [10]:

search2[0]

Out[10]:

{'enddate': '2018-07-29T06:16:31.0240000Z',
 'identifier': '2b0ad8c3d9c7ed240b9b57b89b92374d109a4468',
 'startdate': '2018-07-29T06:16:31.0240000Z',
 'updated': '2018-12-12T15:50:25.4891250+00:00'}
  • Plot the areas of interest and the Sentinel-1 data discovered:
In [11]:

lat = (loads(geom).bounds[3]+loads(geom).bounds[1])/2
lon = (loads(geom).bounds[2]+loads(geom).bounds[0])/2

zoom_start = 5

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 = []

for index, entry in enumerate(loads(geom)):

    locations.append([t[::-1] for t in list(entry.exterior.coords)])

folium.PolyLine(
    locations=locations,
    color='#FF0000',
    weight=2,
    tooltip='',
).add_to(m)

discovery_locations = []

for index, elem in enumerate(search):

    discovery_locations.append([t[::-1] for t in list(loads(elem['wkt']).exterior.coords)])

folium.PolyLine(
    locations=discovery_locations,
    color='orange',
    weight=1,
    opacity=1,
    smooth_factor=0,
).add_to(m)

m.save(os.path.join('results', '%s_search.html' % 'discovery'))

m

Out[11]:

In [12]:

print trigger_deployer

https://ec-better-triggers-deployer.terradue.com
  • Establish the connection with the WPS server hosting the triggers:
In [13]:

wps_url = '%s/zoo-bin/zoo_loader.cgi' % trigger_deployer
wps = WebProcessingService(wps_url,
                           verbose=False,
                           skip_caps=True)

wps.getcapabilities()

process = wps.describeprocess(trigger_queue_process_id)

print process.title

Trigger for the SATCEN-01-03-01 Queue

In [14]:

print process.title

Trigger for the SATCEN-01-03-01 Queue
  • List the WPS trigger process data inputs:
In [15]:

for data_input in process.dataInputs:
    print data_input.identifier

series
data_pipeline
wps_url
process_id
tg_quotation
api_key
update
geom
pt
resolution
percentage_threshold
wkt
flag_expr
quotation
_T2Username
  • Create a Python dictionary with the inputs:
In [16]:

update = '%s/%s' % (start_date, stop_date)

product_type = s2_prd_type
wps_url_apps = '%s/zoo-bin/zoo_loader.cgi' % apps_deployer
tg_quotation = 'No'
resolution = '10'
percentage_threshold = '20.0'
flag_expr = '( saturated_l1a_B4 or scl_water )'
quotation = 'No'

inputs = [('series', series),
          ('data_pipeline', data_pipeline),
          ('wps_url', wps_url_apps),
          ('process_id', app_process_id),
          ('update', update),
          ('geom',  wkt.replace(' ', '%20').replace(',', '%2C')),
          ('pt', product_type),
          ('tg_quotation', tg_quotation),
          ('api_key', datapipeline_api_key),
          ('resolution', resolution),
          ('percentage_threshold', percentage_threshold),
          ('flag_expr', flag_expr),
          ('wkt', wkt),
          ('quotation', quotation),
          ('_T2Username', data_pipeline)]
  • Submit the Execute WPS and monitor the request:
In [22]:

start_date_queue = datetime.utcnow().isoformat()

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

execution_request = execution.buildRequest(trigger_queue_process_id,
                                           inputs,
                                           output=[('result_osd', False)])

execution_response = execution.submitRequest(etree.tostring(execution_request))

execution.parseResponse(execution_response)

print(execution.statusLocation)

monitorExecution(execution)

stop_date_queue = datetime.utcnow().isoformat()

http://ec-better-triggers-deployer.terradue.com/zoo-bin/zoo_loader.cgi?request=Execute&service=WPS&version=1.0.0&Identifier=GetStatus&DataInputs=sid=c4d99530-2086-11e9-84b0-0242ac110012&RawDataOutput=Result
  • Check the outcome of the processing request
In [23]:

if not execution.isSucceded():

    raise Exception('Processing failed')

In [24]:

update_queue = '%sZ/%sZ' % (start_date_queue, stop_date_queue)

print update_queue

2019-01-25T09:51:21.031045Z/2019-01-25T10:11:02.853739Z
  • Search the queue content
In [25]:

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

In [26]:

search_params_queue = dict([('update', update_queue),
                            ('count', 30)])

search_queue = ciop.search(end_point=series_queue,
                           params=search_params_queue,
                           output_fields='self,enclosure,identifier,wkt',
                           model='GeoTime')

In [27]:

locations_queue = []

for index, elem in enumerate(search_queue):

    locations_queue.append([t[::-1] for t in list(loads(elem['wkt']).exterior.coords)])

In [28]:

lat = (loads(geom).bounds[3]+loads(geom).bounds[1])/2
lon = (loads(geom).bounds[2]+loads(geom).bounds[0])/2


zoom_start = 4

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)


folium.PolyLine(
    locations=locations,
    color='#FF0000',
    weight=2,
    tooltip='',
).add_to(m)

folium.PolyLine(
    locations=locations_queue,
    color='green',
    weight=1,
    opacity=1,
    smooth_factor=0,
).add_to(m)

m.save(os.path.join('results', '%s_search.html' % 'discovery'))

m

Out[28]:

In [29]:

data_pipeline

Out[29]:

'better-satcen-00004'

In [ ]: