zucchini

I have a route/view in my Flask application where I am editing an existing record and I want to ensure that my changes are only committed to the database if I am updating the latest version of the record.

For example, my application has a Vegetable object, which has a field called name. The "Edit Vegetable" route/view is based on a form in which the name field is first populated with the existing value for the Vegetable.

Scenario 1: User A opens the "Edit Vegetable" page for a specific record. The name field is populated with the existing name of "Courgete". As this is not spelt correctly, the User is going to change it to "Courgette". However, they get distracted and don't press the Save button for a few minutes. In between them editing the name and pressing the Save button, User B, their colleague from the USA, opens the page for same record, changes the name to "Zucchini" and saves it. I would like User A to get a warning or even prevent them updating the record when they press the Save button as they are effectively no longer editing the latest version of the record.

Scenario 2: User A goes back through their browser history until they get to the previous Edit Vegetable record where they originally changed the name of the Vegetable to "Courgete". Again, I would like a warning or to prevent User A pressing the Save button and updating the record, as again, they are not updating the latest version of the record.

I am newbie, and in all of the tutorials that I have looked at, these considerations are not mentioned and I have not been able to find a solution through a web search, though that might be because I am not searching with the right terms. I tried having an updated datetime on Vegetable object that gets updated when the record is updated. However, I couldn't work out how to then check this as before it seems that before it does the update, the POST reloads the Vegetable object. Below is a simplified version of my code. I am using Flask-WTF and sqlalchemy.

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I have the following dataframes:

Dataframe 1:

Fruit Vegetable Mango Spinach Apple Kale Watermelon Squash Peach Zucchini

Dataframe 2:

Item Price/lb Mango 2 Spinach 1 Apple 4 Peach 2 Zucchini 1

I want to discard the rows from the dataframe 1 when both the columns are not present in the 'Item' series of dataframe 2 and I want to create the following dataframe3 based on dataframes 1 & 2:

Fruit Vegetable Combination Price Mango Spinach 3 Peach Zucchini 3

The third column in dataframe 3 is the sum of the item prices from dataframe 2.

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I have two dataframes of different sizes. They both have four columns: Words, x, y and z.

However, when joining these two dataframes, I want to keep the values of x, y, z of the words that are similar. The words that doesn't exist in df1 but exist in df2 are kept.

I tried to use pd.merge but this will keep the two values and only similar words. And if I use pd.concat I have to drop similar elements, but will not be from the first data frame.

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Any suggestions are appreciated!

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DishdetailComponent.js | File

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