Various scenarios for item import in website.

  1. Valid CSV file:
    • Upload a CSV file with correct formatting and valid data.
    • Verify that all items from the CSV file are successfully imported into the website’s database.
    • Check if the imported items are displayed correctly on the website’s frontend.
  2. CSV file with missing mandatory fields:
    • Upload a CSV file that has missing mandatory fields (e.g., name, price, description).
    • Verify that the import process fails and an appropriate error message is displayed.
    • Confirm that no incomplete or erroneous data is imported into the database.
  3. Invalid CSV file format:
    • Upload a file with an invalid format (e.g., TXT, XLSX, DOC).
    • Ensure that the import process fails and an error message indicating an unsupported file format is displayed.
    • Check that no data is imported into the website’s database.
  4. CSV file with duplicate items:
    • Upload a CSV file that contains duplicate entries for the same item.
    • Verify that the import process ignores duplicate items and only imports unique items.
    • Check that the imported items are displayed correctly without any duplicates.
  5. Large CSV file:
    • Upload a CSV file with a large number of items (e.g., thousands of rows).
    • Monitor the performance of the import process and ensure it completes within a reasonable time frame.
    • Confirm that all items are imported correctly without any data loss or corruption.
  6. Special characters and encoding:
    • Create a CSV file with items containing special characters, symbols, or non-English characters.
    • Verify that the import process handles the encoding correctly and displays the characters accurately on the website.
    • Check if the search and filtering functionalities work correctly with special characters.
  7. Error handling and logging:
    • Introduce errors in the CSV file, such as incorrect data types or invalid values.
    • Verify that the import process logs any errors encountered during the import process.
    • Check that appropriate error messages are displayed, indicating the specific issues with the data.
  8. Import progress and status updates:
    • Observe the import process and ensure that progress updates or status indicators are provided to the user.
    • Verify that the user is informed about the current status of the import (e.g., in progress, completed, failed).
    • Check if the user can cancel the import process if necessary.
  9. Importing large images:
    • Include CSV entries with large image files for the item’s thumbnail or gallery.
    • Verify that the website handles the image import correctly and displays the images without distortion or loss of quality.
    • Check the loading time of pages with large images and ensure it remains acceptable.
  10. Integration with existing data:
    • Import items into the website that have similar or overlapping data with existing items.
    • Verify that the import process merges or updates the existing data correctly without creating duplicates.
    • Check that the website displays the updated information for the existing items.

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