This is for consistency with how we do it for filenames in the previous
commit and moves the decoding into the `LetterMetadata` class for
abstracting this behaviour.
Small refactor of the LetterMetadata class needed to handle None case as
recipient can be None.
S3 can only handle ascii characters, therefore for filename which could
include non ascii characters, for example a filename with the character
'£' in it, we must encode these using urllib before saving it as s3
metadata. We then also make sure that it comes back decoded when
presenting it to the user.
S3 metadata only supports ascii characters. Whenever we save data to it
we need to make sure we encode it to save it and then decode it to
display it again to users. This abstraction will act as the place for
that decoding to happen so the rest of the code in our views doesn't
need to care about the encoding abstraction.
We don’t want to muddy them up with the normal CSV uploads.
I’ve tried to reuse the existing S3 code where possible because it’s
well tested.
Buckets have already been created.
We increasingly have teams wanting to do business-continuity type
messaging. They might be without access to their normal systems, which
is where they would otherwise go to get the list of email addresses or
phone numbers.
So we want to give them a place in Notify where they can store their
spreadsheets and use them at a later date.
For the initial pass we’re going to scope this to only allowing
spreadsheets with one column, ie just phone numbers/email addresses.
This is because:
- it minimises the amount of personal info we’re storing
- it reduces the chance of getting a placeholder error when you go to
send the message, which is probably a high-stress situation where you
might not be able to re-generate the file
The code for this is mostly copied from the existing upload CSV journey.
It’s quite duplicative, but that’s what I needed to do to get this out
quickly. There are opportunities for refactoring later.
Similarly, I would have liked to split this up into better commit
messages, but it really was a case of just bashing code out until it
worked 😳
This commit does not:
- implement the ‘view a contact list page’ (it just has a placeholder
because the API isn’t ready at the moment)
- link to this page (because it’s not ready to use yet)
Now persisting the address to the "to" field of the Notification, after the notification has been validated.
If the letter is pending validation, then "Checking..." will appear as the identifier for the letter.
If the letter has passed validation, then the first line of the address (now persisted in the "to" field) will be displayed, with the client reference underneath.
If the letter has failed validation the "Provided as PDF" will show be displayed, which is now the initial value of the "to" field.
The recipient of the letter now displays at the bottom of the page when
previewing a valid letter. The template preview `/precompiled/sanitise`
endpoint returns the address, but we format it to display on a single
line with commas between each line. We also need to convert the
recipient address to ASCII so that it can be stored as S3 metadata.
We had been storing whether or not a file was valid in the S3 metadata,
but using the query string of the URL to store the original filename
and the page count. This meant that if you tried to view the preview
letter page without the query string you would see a `500`. It was
possible for this to happen if you were signed out of Notify while on
the preview page - you would be redirected back to the preview page but
without the query string, causing an error.
This sanitises uploaded letters and stores the sanitised result in S3
with if it passes validation or the original PDF in S3 if validation
fails. A metadata value of 'status' is set to either 'valid' or
'invalid'.
This has a form with 3 fields - the file upload field, logo name, and an
optional logo domain. Logos need to be uploaded in `.svg` format and we
then convert this to `.png` format and upload both file types to S3 as
well as saving the letter branding details in the database.
Separated s3_client.py into 3 files - for logos, CSV files and the MOU.
This helps to keep things clearer now that we need to add lots more logo
functions for letters.
