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def async_invoke_handler(event, context): | |
activity_task_response = states_client.get_activity_task( | |
activityArn=ASYNC_ACTION_ACTIVITY_ARN, | |
workerName=context.function_name, | |
) | |
if 'taskToken' not in activity_task_response: | |
raise MissingScheduledActivityTaskException() | |
input_for_nested_execution = { |
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def handler(event, context): | |
task_token = event['task_token'] | |
output_state = event['state'][0] | |
states_client.send_task_success( | |
taskToken=task_token, | |
output=json.dumps(output_state), | |
) | |
return event |
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def handler(event, context): | |
task_token = event['task_token'] | |
error_info = event['error_info'] | |
states_client.send_task_failure( | |
taskToken=task_token, | |
error=error_info['Error'], | |
cause=error_info.get('Cause', 'Cause is undefined.'), | |
) |
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""" | |
First install text_summarizer using | |
pip install git+https://github.com/lambdaofgod/text-summarizer | |
""" | |
import nltk | |
import text_summarizer | |
# prepare nltk data | |
nltk.download('punkt') |
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import nltk | |
import gensim | |
text = requests.get('http://rare-technologies.com/the_matrix_synopsis.txt').text | |
gensim_summary = gensim.summarization.summarize(text) |