[ENG-1809] Improve .csv dialect sniffing #362
Open
Add this suggestion to a batch that can be applied as a single commit. This suggestion is invalid because no changes were made to the code. Suggestions cannot be applied while the pull request is closed. Suggestions cannot be applied while viewing a subset of changes. Only one suggestion per line can be applied in a batch. Add this suggestion to a batch that can be applied as a single commit. Applying suggestions on deleted lines is not supported. You must change the existing code in this line in order to create a valid suggestion. Outdated suggestions cannot be applied. This suggestion has been applied or marked resolved. Suggestions cannot be applied from pending reviews. Suggestions cannot be applied on multi-line comments. Suggestions cannot be applied while the pull request is queued to merge. Suggestion cannot be applied right now. Please check back later.
Ticket
https://openscience.atlassian.net/browse/ENG-1809
Purpose
Improve .csv dialect sniffing.
Changes
Provide a full row of data to
csv.Sniffer().sniff()
so it can effectively detect the correct dialect. MFR reads a small amount of data from the file and recursively read more until either the following happens.TabularRenderError
. However, this is more like a failsafe since oversized file should never reach the sniffer in the first place.Updated existing and added new unit tests
Side effects
Memory usage for sniffing depends on the size of the first row of the file. In the worst case, it could sniff at most 10MB. Please note that we don't have enough statistical data on how many bytes the first row of a
.csv
file takes on average. However, files larger than 10MB have already failed the size check by the renderer before the sniffing starts.Given that for CSV, we needs to read the full file into memory for rendering anyway and the partial sniff data is always deleted after use, I don't think it will be a problem.
QA Notes
TBD
Deployment Notes
N / A