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Reddit Sentiment Analysis Pipeline

Architecture:

Architecture

Folder structure:

  • lambda_functions: Code to deploy to lambda functions
  • lambda_layer: Python dependencies for the lambda layer
  • local: modules for local development

Features

  • Serverless architecture
  • Store and visualize sentiment for submissions

Setup Instructions

Important for AWS functionality

  • The Python runtime version on your AWS Lambda must be the same as the one used when installing libraries for the lambda layer. If you use the layer provided in src/lambda_layer, set the lambda runtime version to 3.9

  • When running nltk on your lambda, you might face the following error: Unable to import module 'lambda_function': No module named 'regex._regex'. This usually happens if you're developing locally on Windows. To fix, download the regex library wheel into your lambda layer directory with the command:

     pip install --platform manylinux2014_x86_64 --target=. --implementation cp --python-version 3.9 --only-binary=:all: --upgrade regex

    Note: You need to cd into the layer directory first (or put the full path to your lambda as the target) Source: AWS Article

Optional treelib code changes for development:

  1. tree.py -> show function (line 870): Printing a tree outputs the Tree object in byte format. If you have this problem as well, change print(self.reader.encode('utf-8')) to print(self.reader). Only needed if you want a tree structure display of your comments tree. Source: This stackoverflow post

Lambda-Opensearch permissions:

  • Add AmazonOpenSearchServiceFullAccess policy to the sentiment lambda function
  • Map your lambda role to an OpenSearch user if you're using fine grained control: Steps: AWS docs