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Problem

I have a large JSON file (~700.000 lines, 1.2GB filesize) containing twitter data that I need to preprocess for data and network analysis. During the data collection an error happend: Instead of using " as a seperator ' was used. As this does not conform with the JSON standard, the file can not be processed by R or Python.

Information about the dataset: Every about 500 lines start with meta info + meta information for the users, etc. then there are the tweets in json (order of fields not stable) starting with a space, one tweet per line.

This is what I tried so far:

1. A simple data.replace('\'', '\"') is not possible, as the "text" fields contain tweets which may contain ' or " themselves.
2. Using regex, I was able to catch some of the instances, but it does not catch everything: re.compile(r'"[^"]*"(*SKIP)(*FAIL)|\'')
3. Using literal.eval(data) from the ast package also throws an error.

As the order of the fields and the legth for each field is not stable I am stuck on how to reformat that file in order to conform to JSON.

Normal sample line of the data (for this options one and two would work, but note that the tweets are also in non-english languages, which use " or ' in their tweets):

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• ListView listing player names from a DB table (only one column, so it is primary key)
• EditText to write the new name
• Button to update the name of player in the list

*there are more things, but i don´t want to make it more messy

I can click a name from the list and write a new name in the EditText. When you press the button that name is updated in the list.

Everything works correctly, but there is a problem. When I write a name that it is already in the list the app fails because primary keys cannot be repeated.

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Screenshot: the introduction text was overlaid by the image

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