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import pika
import msgpack
from collections import OrderedDict
import urllib.parse
import time
from dateutil.parser import parse
import hashlib
import json
from utils.exit_gracefully import exit_gracefully
import re
from utils.my_logging import logging
from utils.fix_links import fix_links
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def list_to_dictlist( the_input, the_context=None ):
"""
This function transforms some of the lists (responsibleParty, link, ...) returned by GeoNetwork's q API into a list of dicts.
"""
dictionary = dict()
dictionary['responsibleParty'] = { 0: "role",
1: "appliesTo",
2: "organisationName",
3: "logo",
4: "email",
5: "individualName",
6: "positionName",
7: "address",
8: "telephone" }
dictionary['link'] = { 0: "name",
1: "description",
2: "url",
3: "protocol",
4: "content-type",
5: "unknown" }
dictionary['image'] = {0: "type", 1: "url"}
dictionary['inspirethemewithac'] = {0: "id", 1: "label"}
dictionary['geoBox'] = {0: "westBoundLongitude", 1: "southBoundLatitude", 2: "eastBoundLongitude", 3: "northBoundLatitude"}
# in case the input is not already a list, we convert it to a list
if type( the_input ) is str:
the_input = [the_input]
the_output = []
for in_item in the_input:
#print(i, link)
in_item_split = in_item.split('|')
out_item = {}
#print(in_item_split)
for k, line in enumerate(in_item_split):
if line != "":
# print(the_context, dictionary.keys())
# # out_item[ dictionary[the_context][k] ] = line
if the_context != None:
# logging.debug('!'*80)
# logging.debug( dictionary[the_context][k] )
# logging.debug('x')
out_item[ dictionary[the_context][k] ] = line
else:
# logging.debug('?'*80)
out_item[ k ] = line
else:
out_item[ dictionary[the_context][k] ] = 'null'
logging.debug(the_context)
logging.debug(out_item)
# appending a hash value of the item can be useful at client-side,
# as it allows one to identify entities that are common to multiple datasets...
if the_context == 'responsibleParty':
tmp = out_item.copy()
del tmp['appliesTo'] # as a matter of facts, 'appliesTo' isn't really a property of the responsibleParty
md5 = hashlib.md5( json.dumps(tmp, sort_keys=True).encode("utf-8") ).hexdigest()
else:
md5 = hashlib.md5( json.dumps(out_item, sort_keys=True).encode("utf-8") ).hexdigest()
# In the case of dataset produced by the Métropole de Lyon,
# the "organisationName" contains "Métropole de Lyon"
# followed by the name of the direction.
# In the following, we arrange things differently...
if the_context == 'responsibleParty':
try:
parent_organisation, child_organisation = out_item['organisationName'].split('/')
parent_organisation = parent_organisation.strip()
child_organisation = child_organisation.strip()
except:
parent_organisation, child_organisation = out_item['organisationName'], None
parent_organisation = parent_organisation.strip()
child_organisation = None
out_item['organisationName'] = parent_organisation
if child_organisation != None:
if 'individualName' in out_item.keys():
out_item['individualName'] = child_organisation + ' / ' + out_item['individualName']
else:
out_item['individualName'] = child_organisation
the_output.append( {'md5': md5, **out_item})
if the_context == 'geoBox':
polygon = []
polygon.append([float(the_output[0]['westBoundLongitude']), float(the_output[0]['southBoundLatitude'])])
polygon.append([float(the_output[0]['eastBoundLongitude']), float(the_output[0]['southBoundLatitude'])])
polygon.append([float(the_output[0]['eastBoundLongitude']), float(the_output[0]['northBoundLatitude'])])
polygon.append([float(the_output[0]['westBoundLongitude']), float(the_output[0]['northBoundLatitude'])])
polygon.append([float(the_output[0]['westBoundLongitude']), float(the_output[0]['southBoundLatitude'])])
the_output = {'type': 'Polygon', 'coordinates': [polygon]}
return the_output
def process_records( in_records, geonetwork_root_url, working_directory ):
#print( in_records[0].keys() )
out_records = []
for in_record in in_records:
out_record = {}
# all the content of the original record in "mounted" at "metadata-fr"
out_record['metadata-fr'] = in_record.copy()
if '_locale' in out_record['metadata-fr'].keys():
del out_record['metadata-fr']['_locale']
out_record['metadata-fr']['locale'] = in_record['_locale']
# we transform some lists into list of dictionaries...
if 'responsibleParty' in out_record['metadata-fr'].keys():
del out_record['metadata-fr']['responsibleParty']
out_record['metadata-fr']['responsibleParty'] = list_to_dictlist(in_record['responsibleParty'], 'responsibleParty')
if 'link' in out_record['metadata-fr'].keys():
#logging.debug(in_record['link'])
#exit(1)
del out_record['metadata-fr']['link']
tmp = list_to_dictlist(in_record['link'], 'link')#links
out_record['metadata-fr']['link'] = enrich_links( fix_links(tmp), working_directory )
if 'userinfo' in out_record['metadata-fr'].keys():
del out_record['metadata-fr']['userinfo']
out_record['metadata-fr']['userinfo'] = list_to_dictlist(in_record['userinfo'])#links
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if 'category' in out_record['metadata-fr'].keys() and type(out_record['metadata-fr']['category']) is str:
del out_record['metadata-fr']['category']
out_record['metadata-fr']['category'] = [in_record['category']]
if 'topicCat'in out_record['metadata-fr'].keys() and type(out_record['metadata-fr']['topicCat']) is str:
del out_record['metadata-fr']['topicCat']
out_record['metadata-fr']['topicCat'] = [in_record['topicCat']]
if 'keyword' in out_record['metadata-fr'].keys() and type(out_record['metadata-fr']['keyword']) is str:
del out_record['metadata-fr']['keyword']
out_record['metadata-fr']['keyword'] = [in_record['keyword']]
if 'legalConstraints' in out_record['metadata-fr'].keys() and type(out_record['metadata-fr']['legalConstraints']) is str:
del out_record['metadata-fr']['legalConstraints']
out_record['metadata-fr']['legalConstraints'] = [in_record['legalConstraints']]
if 'resourceConstraints' in out_record['metadata-fr'].keys() and type(out_record['metadata-fr']['resourceConstraints']) is str:
del out_record['metadata-fr']['resourceConstraints']
out_record['metadata-fr']['resourceConstraints'] = [in_record['resourceConstraints']]
if 'geoBox' in out_record['metadata-fr'].keys():
del out_record['metadata-fr']['geoBox']
out_record['metadata-fr']['bbox'] = list_to_dictlist(in_record['geoBox'], 'geoBox')
else:
pass # it means that we are treating a non-geographic dataset
if 'inspirethemewithac' in out_record['metadata-fr']:
del out_record['metadata-fr']['inspirethemewithac']
out_record['metadata-fr']['inspirethemewithac'] = list_to_dictlist(in_record['inspirethemewithac'], 'inspirethemewithac')
else:
pass # it means that we are treating a non-geographic dataset
if 'image' in out_record['metadata-fr'].keys():
del out_record['metadata-fr']['image']
out_record['metadata-fr']['image'] = list_to_dictlist(in_record['image'], 'image')
else:
pass # it means that we are treating a non-geographic dataset
properties_to_convert_to_date = []
properties_to_convert_to_date.append('creationDate')
for prop in properties_to_convert_to_date:
if prop in out_record['metadata-fr'].keys():
try:
out_record['metadata-fr'][prop] = str(parse(in_record[prop]))
except:
#TODO logging.error('Unable to parse date in metadata: %s' % in_record[prop])
del out_record['metadata-fr'][prop]
# let's delete some attributes which are very specific to GeoNetwork
attribs_to_delete = ['userinfo', 'isHarvested', 'isTemplate', 'owner', \
'displayOrder', 'publishedForGroup', 'valid', 'docLocale', \
'popularity', 'mdLanguage', 'root', 'rating', 'source', \
'defaultTitle', 'datasetLang', 'geoDesc', 'locale', 'logo']
for attrib in attribs_to_delete:
try:
del out_record['metadata-fr'][attrib]
except:
pass
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if 'idxMsg' in in_record.keys():
del out_record['metadata-fr']['idxMsg']
# let's delete duplicates in the 'updateFrequency' attribute
if 'updateFrequency' in in_record.keys() and type(in_record['updateFrequency']) is list:
out_record['metadata-fr']['updateFrequency'] = list(set(in_record['updateFrequency']))
# let's generate the href of this document
local_params = OrderedDict()
local_params['_content_type'] = 'json'
local_params['resultType'] = 'details'
local_params['fast'] = 'index'
local_params['buildSummary'] = 'false'
local_params['uuid'] = out_record['metadata-fr']['geonet:info']['uuid']
out_record['metadata-fr']['href'] = geonetwork_root_url + "?" + urllib.parse.urlencode(local_params)
#pprint(out_record)
out_records.append(out_record)
#print('-'*80)
return out_records
# def process_page( channel, method, properties, body, out_channel, out_exchange, out_routing_key ):
def process_page( channel, method, properties, body, **kwargs):
decoded_body = msgpack.unpackb(body, raw=False)
geonetwork_root_url = decoded_body['header']['geonetwork_root_url']
session_id = decoded_body['header']['session_id']
dest_index = decoded_body['header']['dest_index']
page = decoded_body['body']
out_records = process_records( page, geonetwork_root_url, kwargs['working_directory'] )
#print(json.dumps(out_records[0], indent=4))
#dispatch
for metadata_record in out_records:
the_uuid = metadata_record['metadata-fr']['geonet:info']['uuid']
logging.info("Processing record %s..." % the_uuid)
# let's look for a WFS ressource to potentially fetch and index...
if 'link' in metadata_record['metadata-fr'].keys():
for link in metadata_record['metadata-fr']['link']:
#TODO: generalize!
if 'service' in link.keys() and link['service'] == 'WFS' and 'data.grandlyon.com' in link['url']:
#documents_to_index = []
# OLD featurePages = getWFS(metadata_record['metadata-fr']['link'][key])
#featurePages = getWFS(link) #
full_version = metadata_record.copy() # including metadata AND data
full_version['uuid'] = metadata_record['metadata-fr']['geonet:info']['uuid'] + '.full'
full_version['type'] = metadata_record['metadata-fr']['type']
msg = {'header': {'wfs_info': link, 'offset': 0, 'session_id': session_id, 'dest_index': dest_index}, 'body': full_version}
the_body = msgpack.packb(msg, use_bin_type=True)
channel.basic_publish( exchange=kwargs['exchange'],
routing_key=kwargs['docs_to_enrich_rk'],
body=the_body,
properties=pika.BasicProperties(delivery_mode = 2) )
meta_version = metadata_record.copy() # including metadata ONLY
meta_version['uuid'] = metadata_record['metadata-fr']['geonet:info']['uuid'] + '.meta'
meta_version['type'] = metadata_record['metadata-fr']['type']
msg = {'header': { "index" : { "_index" : dest_index, "_type" : "_doc" } }, 'body': meta_version}
the_body = msgpack.packb(msg, use_bin_type=True)
channel.basic_publish( exchange=kwargs['exchange'],
routing_key=kwargs['docs_to_index_rk'],
body=the_body,
properties=pika.BasicProperties(delivery_mode = 2) )
channel.basic_ack(delivery_tag = method.delivery_tag)
#channel.basic_nack(delivery_tag = method.delivery_tag, requeue=1)
return
def main(cfg):
connection = pika.BlockingConnection(pika.ConnectionParameters(host=cfg['rabbitmq']['host']))
timeout = 5
connection.add_timeout(timeout, on_timeout(connection))
channel = connection.channel()
exchange = cfg['rabbitmq']['exchange']
# the queue this program will consume messages from:
metadata_pages_to_process_qn = cfg['session']['id'] + '_' + cfg['rabbitmq']['queue_name_1_suffix']
docs_to_index_rk = cfg['session']['id'] + '_' + cfg['rabbitmq']['routing_key_2_suffix']
docs_to_index_qn = cfg['session']['id'] + '_' + cfg['rabbitmq']['queue_name_2_suffix']
docs_to_enrich_rk = cfg['session']['id'] + '_' + cfg['rabbitmq']['routing_key_3_suffix']
docs_to_enrich_qn = cfg['session']['id'] + '_' + cfg['rabbitmq']['queue_name_3_suffix']
Alessandro Cerioni
committed
channel.exchange_declare(exchange=cfg['rabbitmq']['exchange'], exchange_type='direct')
channel.queue_declare(queue=docs_to_index_qn, durable=True)
channel.queue_bind(exchange=exchange, queue=docs_to_index_qn, routing_key=docs_to_index_rk)
channel.queue_declare(queue=docs_to_enrich_qn, durable=True)
channel.queue_bind(exchange=exchange, queue=docs_to_enrich_qn, routing_key=docs_to_enrich_rk)
working_directory = cfg['session']['working_directory']
#logging.info('Waiting for messages...')
channel.basic_qos(prefetch_count=1)
# channel.basic_consume(lambda ch, method, properties, body: process_page(ch, method, properties, body, out_channel, out_exchange, out_routing_key1), queue=queue_name)#, no_ack=True)
channel.basic_consume(lambda ch, method, properties, body: process_page(ch, method, properties, body,
exchange=exchange,
docs_to_index_rk=docs_to_index_rk,
docs_to_enrich_rk=docs_to_enrich_rk,
working_directory=working_directory),
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queue=metadata_pages_to_process_qn)#, no_ack=True)
channel.start_consuming()
connection.close()
if __name__ == '__main__':
import yaml
import time
import signal
signal.signal(signal.SIGINT, exit_gracefully)
with open("config.yaml", 'r') as yamlfile:
cfg = yaml.load(yamlfile)
logging.info('Starting...')
while True:
try:
main(cfg)
except pika.exceptions.ChannelClosed:
logging.info('Waiting for tasks...')
time.sleep(5)
except Exception as e:
logging.error(e)
exit(1)