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This repository contains a simple web application built using Flask and MongoDB that enables users to search for comic book information based on keywords.

License: MIT License

Python 74.76% HTML 20.02% CSS 2.16% Dockerfile 3.06%

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Got as far as data import. Some suggestions as I go through this. Ran this in code spaces on GitHub.

  • Include data import as part of the steps to run the app vs keeping separate. If possible, leverage the connection string in config.py so user doesn't have to enter it on the cmdline. Default to the local csv file rather than have user type it in.
  • Optional idea. Let the user run the data import from the web app. Use the connection information in config.py so user doesn't have to enter it.
  • Data import is stuck on "Inserting documents into the collection..." had to kill the operation. Data import did not create database or container. Suggest adding exception handling for these operations.
  • When importing the data into the collection, write out the status on the command line every 1000 items or so to allow the user to see the progress. Also suggest not outputting every line read in from the file as it slows down importing data due to having to interrupt async execution to write to the shell.

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