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import pika
import msgpack
import time
import json
from elasticsearch import Elasticsearch
from elasticsearch.exceptions import AuthorizationException
import hashlib
from utils.exit_gracefully import exit_gracefully
from utils.my_logging import logging
from pprint import pprint
def tag_doc( the_doc ):
tag_list = ['isOpenAccess', 'isRealTime', 'isQueryable', 'isSearchable', 'isPunctual', 'isLinear', 'isAreal']
tag_dict = {}
# initialisation
for tag in tag_list:
tag_dict[tag] = False
# isOpen?
if not 'legalConstraints' in the_doc['metadata-fr'].keys() or not any( [x in the_doc['metadata-fr']['legalConstraints'] for x in ['Licence Associée', 'Licence Engagée'] ] ):
tag_dict['isOpenAccess'] = True
# isRealTime?
if 'updateFrequency' in the_doc['metadata-fr'].keys() and 'continual' in the_doc['metadata-fr']['updateFrequency']:
tag_dict['isRealTime'] = True
# isQueryable?
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if 'link' in the_doc['metadata-fr'].keys():
for link in the_doc['metadata-fr']['link']:
#print(link)
if any( [x in link['protocol'] for x in ['OGC:WFS', 'OGC:WMS', 'KML', 'WS']] ):
tag_dict['isQueryable'] = True
break
# isSearchable?
if 'data-fr' in the_doc.keys():
tag_dict['isSearchable'] = True
if tag_dict['isSearchable']:
# isPunctual?
if any( [x in the_doc['data-fr']['geometry']['type'] for x in ['Point', 'MultiPoint']] ):
tag_dict['isPunctual'] = True
# isLinear?
if any( [x in the_doc['data-fr']['geometry']['type'] for x in ['LineString', 'MultiLineString']] ):
tag_dict['isLinear'] = True
# isAreal?
if any( [x in the_doc['data-fr']['geometry']['type'] for x in ['Polygon', 'MultiPolygon']] ):
tag_dict['isLinear'] = True
tagged_doc = {'editorial-metadata-en': tag_dict, **the_doc}
return tagged_doc
def index_docs(channel, method, properties, body, es):
t1 = time.time()
if type(decoded_body['body']) is list:
#docs_to_index = decoded_body['body']
docs_to_index = [tag_doc(doc) for doc in decoded_body['body']]
else:
#docs_to_index = [decoded_body['body']]
docs_to_index = [tag_doc(decoded_body['body'])]
#print(docs_to_index)
es_index = decoded_body['header']['index']['_index']
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es_body = { "settings" : {
"number_of_shards" : 1,
"number_of_replicas" : 0,
"index.mapping.total_fields.limit": 10000,
"refresh_interval": "30s"
},
"mappings": {
"_doc": {
"dynamic_templates": [ # priority is given by order!
{
"uuid" : {
"path_match": "uuid",
"mapping": {
"type": "keyword",
}
}
},
{
"default" : {
"path_match": "*",
"mapping": {
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}
}
}
]
}
}
}
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#es_body.update({"mappings": {"_doc": {"dynamic_date_formats": ["strict_date_optional_time"]}}})
try:
rep = es.indices.create(es_index, es_body)#, wait_for_active_shards=0)
except:
pass
logging.info("Pushing %i documents to Elasticsearch..." % len(docs_to_index))
es_body = ''
header = decoded_body['header']
for doc in docs_to_index:
# try:
# header['index']['_id'] = doc['_id'] #hashlib.md5( json.dumps(doc, sort_keys=True).encode("utf-8") ).hexdigest()
# del doc['_id']
# except:
# header['index']['_id'] = hashlib.md5( json.dumps(doc, sort_keys=True).encode("utf-8") ).hexdigest()
header['index']['_id'] = hashlib.md5( json.dumps(doc, sort_keys=True).encode("utf-8") ).hexdigest()
es_body += '{0}\n{1}\n'.format(json.dumps(header), json.dumps(doc))
rep = es.bulk(body=es_body)
#print(rep)
t2 = time.time()
if rep['errors'] == False:
channel.basic_ack(delivery_tag = method.delivery_tag)
#print("")
logging.info("Done in %s seconds." % (t2-t1))
else:
channel.basic_nack(delivery_tag = method.delivery_tag, requeue=1)
#print("")
logging.error(json.dumps(rep, indent=4))
logging.error("Failed")
#time.sleep(5)
return
def main(cfg):
es = Elasticsearch([cfg['indexer']['url']], timeout=60)
es_logger = logging.getLogger('elasticsearch')
es_logger.setLevel(logging.INFO)
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connection = pika.BlockingConnection(pika.ConnectionParameters(host=cfg['rabbitmq']['host']))
channel = connection.channel()
exchange = cfg['rabbitmq']['exchange']
# the queue this program will be consuming messages from
docs_to_index_qn = cfg['session']['id'] + '_' + cfg['rabbitmq']['queue_name_2_suffix']
channel.basic_qos(prefetch_count=1)
channel.basic_consume(lambda ch, method, properties, body: index_docs(ch, method, properties, body, es), queue=docs_to_index_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)
while True:
try:
main(cfg)
except pika.exceptions.ChannelClosed:
logging.info("Waiting for tasks...")
time.sleep(5)
except AuthorizationException as e:
logging.error(e)
exit(1)