If you’re downloading a bunch of reports from your jobs then it’s useful to be
able to differentiate between them. This commit makes it easy to do so by naming
the file with:
- the name of the template
- when the job was created
This commit makes two main changes to what happens when a user is
in trial mode and they upload some email addresses belonging to
other people.
1. Add a specific banner error telling the user about trial mode
2. Make this error higher priority, eg it will show up before the
error about having too many recipients in your file
This means making some changes to the tests so that the example CSV
files include the user’s phone number, then making them invalid by
omitting data required by the templates.
Depends on: https://github.com/alphagov/notifications-utils/pull/34
Generating the UUID can be can be contained within this function,
thus any other part of the code using it doesn’t have to do the
ID-generating stuff itself.
There shouldn’t be a case where we see a `ValueError` on upload any
more. Our file handling should be robust enough to deal with whatever is
thrown at it.
This commit:
- adds test files with bad data (PNG files with their extensions changed to look
like spreadsheets)
- catches whatever exceptions are raised by trying to parse these files
- returns a helpful flash message to the user
Anything else should raise a `500`, eg if the file can’t be uploaded to S3.
We require users to export their spreadsheets as CSV files before
uploading them. But this seems like the sort of thing a computer should
be able to do.
So this commit adds a wrapper class which:
- takes a the uploaded file
- returns it in a normalised format, or reads it using pyexcel[1]
- gives the data back in CSV format
This allows us to accept `.csv`, `.xlsx`, `.xls` (97 and 95), `.ods`,
`.xlsm` and `.tsv` files. We can upload the resultant CSV just like
normal, and process it for errors as before.
Testing
---
To test this I’ve added a selection of common spreadsheet files as test
data. They all contain the same data, so the tests look to see that the
resultant CSV output is the same for each.
UI changes
---
This commit doesn’t change the UI, apart from to give a different error
message if a user uploads a file type that we still don’t understand.
I intend to do this as a separate pull request, in order to fulfil
https://www.pivotaltracker.com/story/show/119371637
The dashboard looked a bit table-y. This commit makes four main changes:
- show a bar chart (drawn in CSS) for template usage (only shown if
you’ve used more than one template recently)
- only break down template usage by template name, not template type
(because that’s happening with the big numbers)
- change the style of the ‘show more’ links under each section so that
they are all consistent, and a little less busy (one less keyline)
- remove the ‘recent templates‘ title so that the first two sections of
the page group under ‘in the last 7 days’
