How to use kinesis_client method in localstack

Best Python code snippet using localstack_python

model.py

Source:model.py Github

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...68 StreamName=self.prediction_sream_name,69 Data=json.dumps(prediction_event),70 PartitionKey=str(ride_id),71 )72def create_kinesis_client():73 endpoint_url = os.getenv('KINESIS_ENDPOINT_URL')74 if endpoint_url is None:75 return boto3.client('kinesis')76 return boto3.client('kinesis', endpoint_url=endpoint_url)77def init(prediction_sream_name: str, run_id: str, test_run: bool):78 model = load_model(run_id)79 callbacks = []80 if not test_run:81 kinesis_client = create_kinesis_client()82 kinesis_callback = KinesisCallback(kinesis_client, prediction_sream_name)83 callbacks.append(kinesis_callback.put_record)84 model_service = ModelService(model=model, model_version=run_id, callbacks=callbacks)...

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streaming.py

Source:streaming.py Github

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1#!/usr/bin/env python2import os3import json4import boto35import tweepy6consumer_key = os.getenv("consumer_key")7consumer_secret = os.getenv("consumer_secret")8access_token = os.getenv("access_token")9access_token_secret = os.getenv("access_token_secret")10auth = tweepy.OAuthHandler(consumer_key, consumer_secret)11auth.set_access_token(access_token, access_token_secret)12kinesis_client = boto3.client('kinesis')13class KinesisStreamProducer(tweepy.StreamListener):14 15 def __init__(self, kinesis_client):16 self.kinesis_client = kinesis_client17 def on_data(self, data):18 tweet = json.loads(data)19 self.kinesis_client.put_record(StreamName='kubeless', Data=tweet["text"], PartitionKey="key")20 print("Publishing record to the stream: ", tweet)21 return True22 23 def on_error(self, status):24 print("Error: " + str(status))25def main():26 mylistener = KinesisStreamProducer(kinesis_client)27 myStream = tweepy.Stream(auth = auth, listener = mylistener)28 myStream.filter(track=['#kubelessonaws'])29if __name__ == "__main__":...

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consumer.py

Source:consumer.py Github

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1import boto32from setting import *3if __name__ == '__main__':4 session = boto3.Session(aws_access_key_id=AWS_ACCESS_KEY_ID,5 aws_secret_access_key=AWS_SECRET_ACCESS_KEY)6 kinesis_client = session.client('kinesis', region_name=REGION)7 response = kinesis_client.describe_stream(StreamName=STREAM_NAME)8 shard_id = response['StreamDescription']['Shards'][0]['ShardId']9 shard_iterator = kinesis_client.get_shard_iterator(StreamName=STREAM_NAME,10 ShardId=shard_id,11 ShardIteratorType='LATEST')12 my_shard_iterator = shard_iterator['ShardIterator']13 record_response = kinesis_client.get_records(ShardIterator=my_shard_iterator, Limit=100)14 while 'NextShardIterator' in record_response:15 record_response = kinesis_client.get_records(ShardIterator=record_response['NextShardIterator'], Limit=100)16 if len(record_response['Records']) > 0:17 for record in record_response['Records']:...

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