Rust utility to preprocess RAW data exported from Flurry into format more sutable for Pandas import
DEPRECATED since you can use lines mode in Pandas data_df = pd.read_json('my.json', lines=True) and avoid pre-processing
Unfortunately Flurry RAW data exports are just bunch of separate JSON object (representing events), one per line, which makes it not really a syntacticly correct JSON file.
This super simple utility just adds a , at the end of each line as well as the prefix { "data": [ and suffix ]}, but does it as fast as I could get (using buffering and operating with bytes, not strings).
- Export your Flurry events data to JSON format
- Feed the data into
flurry-jsonify - Import in Pandas as usual
- Enjoy ;)
- Better error handling and Rust style