async def main(config):
log.info("Starting up")
client = ElasticSearchClient(hosts=config["elastic_uri"])
now = datetime.now()
# We keep data for up to 30 days, so we should delete it at 29 days
delete_time = timedelta(days=29)
async with client as db:
logs_ids = []
async for model in db._scroll(index="logs_str",
body={"_source": "time"}):
time_created = datetime.fromisoformat(model["_source"]["time"])
if (now - time_created) > delete_time:
logs_ids.append(model["_id"])
await db.bulk_delete(index="logs_str", ids=logs_ids)
del logs_ids
message_ids = []
async for model in db._scroll(index="guild_message_str",
body={"_source": False}):
id = model["_id"]
time_created = datetime.utcfromtimestamp(
((int(id) >> 22) + DISCORD_EPOCH) / 1000)
if (now - time_created) > delete_time:
message_ids.append(id)
await db.bulk_delete(index="guild_message_str", ids=message_ids)
del message_ids
log.info("Stopping")
doc['Value'] = value
doc['Unit'] = data['unit']
doc['Description'] = data['description']
doc['location'] = {'lat': CORK_LAT, 'lon': CORK_LON}
id_ = variable + time
print(doc)
res = es.insert_doc(doc, id_=id_)
print(res)
load_dotenv()
es = ElasticSearchClient(
os.getenv('ES_HOST'),
os.getenv('ES_PORT'),
use_ssl=os.getenv('ES_USE_SSL', False),
verify_certs=os.getenv('ES_VERIFY_CERTS', False),
http_auth=(os.getenv('ES_USER'),
os.getenv('ES_PASSWORD')) if os.getenv('ES_USER') else None,
ca_certs=os.getenv('ES_CA_CERTS', None))
geo_point_mapping = es.define_geo_point_mapping()
es.create_index(ELASTICSEARCH_INDEX, geo_point_mapping)
kafka_consumer = KafkaConsumer(
KAFKA_TOPIC,
bootstrap_servers=[
"{}:{}".format(os.getenv('KAFKA_HOST'), os.getenv('KAFKA_PORT'))
],
# auto_offset_reset='earliest',
security_protocol=os.getenv('KAFKA_SECURITY_PROTOCOL', 'PLAINTEXT'),
"""
import os
import json
from kafka import KafkaConsumer
from elastic import ElasticSearchClient, RequestError
from dotenv import load_dotenv
from constants import *
load_dotenv()
es = ElasticSearchClient(
os.getenv('ES_HOST'),
os.getenv('ES_PORT'),
use_ssl=os.getenv('ES_USE_SSL', False),
verify_certs=os.getenv('ES_VERIFY_CERTS', False),
http_auth=(os.getenv('ES_USER'),
os.getenv('ES_PASSWORD')) if os.getenv('ES_USER') else None,
ca_certs=os.getenv('ES_CA_CERTS', None),
timeout=60)
geo_point_mapping = es.define_custom_geo_shape_mapping("geometry")
es.create_index(ELASTICSEARCH_INDEX, geo_point_mapping)
kafka_consumer = KafkaConsumer(
KAFKA_TOPIC,
bootstrap_servers=[
"{}:{}".format(os.getenv('KAFKA_HOST'), os.getenv('KAFKA_PORT'))
],
# auto_offset_reset='earliest',
load_dotenv()
producer = KafkaProducer(
bootstrap_servers=[
"{}:{}".format(os.getenv('KAFKA_HOST'), os.getenv('KAFKA_PORT'))
],
security_protocol=os.getenv('KAFKA_SECURITY_PROTOCOL', 'PLAINTEXT'),
ssl_cafile=os.getenv('KAFKA_CA_FILE', None),
ssl_certfile=os.getenv('KAFKA_CERT_FILE', None),
ssl_keyfile=os.getenv('KAFKA_KEY_FILE', None),
value_serializer=lambda m: json.dumps(m).encode('utf8'))
es = ElasticSearchClient(
os.getenv('ES_HOST'),
os.getenv('ES_PORT'),
use_ssl=os.getenv('ES_USE_SSL', False),
verify_certs=os.getenv('ES_VERIFY_CERTS', False),
http_auth=(os.getenv('ES_USER'),
os.getenv('ES_PASSWORD')) if os.getenv('ES_USER') else None,
ca_certs=os.getenv('ES_CA_CERTS', None))
if es.es.count(index=ELASTICSEARCH_INDEX)['count'] != 0:
produce_latest_data()
else:
produce_historical_data()
# Make the assumption that all messages are published and consumed
producer.send(KAFKA_TOPIC_FINISH,
'All messages are published and consumed successfully!')
producer.flush()
"""
import os
import json
from kafka import KafkaConsumer
from elastic import ElasticSearchClient
from dotenv import load_dotenv
from constants import *
load_dotenv()
es = ElasticSearchClient(
os.getenv('ES_HOST'),
os.getenv('ES_PORT'),
use_ssl=os.getenv('ES_USE_SSL', False),
verify_certs=os.getenv('ES_VERIFY_CERTS', False),
http_auth=(os.getenv('ES_USER'),
os.getenv('ES_PASSWORD')) if os.getenv('ES_USER') else None,
ca_certs=os.getenv('ES_CA_CERTS', None))
# We don't need a location (geo_point) field
# for this index
# geo_point_mapping = es.define_geo_point_mapping()
es.create_index(ELASTICSEARCH_INDEX)
kafka_consumer = KafkaConsumer(
KAFKA_TOPIC,
bootstrap_servers=[
"{}:{}".format(os.getenv('KAFKA_HOST'), os.getenv('KAFKA_PORT'))
],
"""
import os
import json
from kafka import KafkaConsumer
from elastic import ElasticSearchClient
from dotenv import load_dotenv
from constants import *
load_dotenv()
es = ElasticSearchClient(os.getenv('ES_HOST'), os.getenv('ES_PORT'),
use_ssl=os.getenv('ES_USE_SSL', False),
verify_certs=os.getenv('ES_VERIFY_CERTS', False),
http_auth=(os.getenv('ES_USER'), os.getenv('ES_PASSWORD')) if os.getenv('ES_USER') else None,
ca_certs=os.getenv('ES_CA_CERTS', None))
# We don't need a location field in this index
# geo_point_mapping = es.define_geo_point_mapping()
# this particular index should follow the previous index's
# format time which is "2017/01/01 00:15:00"
# instead of "2017/01/01T00:15:00" we're having it in all of our new indices
# So apply an explicit mapping for the field 'date'
date_mapping = es.define_custom_date_mapping_format(date_field_name='date', format="yyyy/MM/dd HH:mm:ss")
es.create_index(ELASTICSEARCH_INDEX, date_mapping)
"""
import os
import json
import datetime
from kafka import KafkaConsumer
from elastic import ElasticSearchClient
from dotenv import load_dotenv
from constants import *
load_dotenv()
es = ElasticSearchClient(
os.getenv('ES_HOST'),
os.getenv('ES_PORT'),
use_ssl=os.getenv('ES_USE_SSL', False),
verify_certs=os.getenv('ES_VERIFY_CERTS', False),
http_auth=(os.getenv('ES_USER'),
os.getenv('ES_PASSWORD')) if os.getenv('ES_USER') else None,
ca_certs=os.getenv('ES_CA_CERTS', None))
# for this particular index we don't want the geo-point field to be named "location",
# but have two separate fields "location before" and "location after".
# So call the custom function that you pass as a parameter the geo point field name
geo_point_mapping_before = es.define_custom_geo_point_mapping(
'location_before')
geo_point_mapping_after = es.define_custom_geo_point_mapping('location_after')
es.create_index(ELASTICSEARCH_INDEX, geo_point_mapping_before,
geo_point_mapping_after)
kafka_consumer = KafkaConsumer(
