The list of top-level dependencies is moved to requirements-app.txt,
which is used by `make freeze-requirements` to generate the full
list of requirements in requirements.txt.
This is based on alphagov/digitalmarketplace-api#615, so rationale
from that PR applies here.
We had a problem with unpinned packages on new deployments leading
to failed tests (e.g. alphagov/notifications-admin#2144) which is
why we're implementing this now.
After re-evaluating pipenv again, this still seems like the least
disruptive approach:
* pyup.io has experimental support for Pipfile, but doesn't respect
version ranges or updating hashes in the lock file
* CloudFoundry buildpack recognizes and supports Pipfiles out of the
box, but the support is relatively new. For example until recently
CF would install dev packages during deployment. It's also based on
generating a requirements file from the Pipfile, which doesn't
properly support pinning VCS dependencies (eg it doesn't set the
#egg= version, meaning pip will not upgrade the package if it's
already installed).
* pipenv has a strict dependency resolution algorithm, which doesn't
appear to be well documented and can cause some unexpected failures.
For example, pipenv doesn't seem to be able to install `awscli-cwlogs`
package at all, believing it to have a version conflict for `botocore`
(which it doesn't list as a direct dependency) while neither `pip` nor
`pip-tools` highlight any issues with it.
* While trying out `pipenv install` on our list of dependencies it would
regularly fail to install utils with a "Will try again." message.
While the installation succeeds after a retry, this doesn't inspire
confidence.
* The switch to Pipfile and pipenv-managed virtualenvs requires a series
of changes to `make` targets and scripts - replacing `pip install` with
`pipenv`, removing references to requirements files and prefixing
commands with `pipenv run`. While it's likely to simplify the overall
process of managing dependencies, it would require time to properly
implement across our applications and environments (Jenkins, PaaS,
docker containers, and dev machines).
Added the letter_rate table to the list of tables which does not get
deleted after each test run and changed the tests to use the real letter
rates.
Also removed the letter rate DAO since this was only being used in
tests, so was no longer needed.
We now support letters of up to 5 sheets long, so we need to store the
rates for 4 and 5 sheet letters (both crown and non-crown) in the
`letter_rates` table.
Both service api tasks work fine if the object is unexpectedly deleted
halfway through - they both check to see if the api details are still
in the DB before trying to send the request.
it now uses the ft_notification_status table - nice and quick. if you
ask for the current tax year it'll top up the data with numbers from
the notification table.
the data is in exactly the same shape as the old endpoint - no changes
to the admin app are necessary
By adding the service id, the query performance has improved greatly. It went from 6200ms to 0.04ms.
This should stop the 500s when a template is deleted.
Test notifications are only stored in the notification table, not the
notification_history table. We were deciding which table to query for
the platform admin stats based on the start date passed to the DAO
function. This means that if the start date given was more than 7 days
ago and the end date was within the last 7 days, test notifications were
not being returned. We now use the end date to choose which table to
query which means that test notifications always get returned when they
should.
Created a platform-stats blueprint and moved the new platform stats
endpoint to the new blueprint (it was previously in the service
blueprint). Since the original platform stats route and the new platform
stats route are now in different blueprints, their view functions can
have the same name without any issues.
Moved the `fetch_new_aggregate_stats_by_date_range_for_all_services`
DAO function from the services DAO to the Notifications DAO since this
function queries the `notification` and `notification_history` tables.
Also added a test to check that the data returned from the function
takes BST into account.
Added in a new endpoint and DAO function to provide the data for the new
platform admin statistics page. The DAO method gets different data from
the Notifications / NotificationHistory table and also groups it differently.
The old endpoint has not been deleted yet to allow the numbers on the
old and new pages to be compared.
Our application servers and celery workers write logs both to a
file that is shipped to CloudWatch and to stdout, which is picked
up by CloudFoundry and sent to Logit Logstash.
This works with gunicorn and single-worker celery deployments, however
celery multi daemonizes worker processes, which detaches them from
stdout, so there's no log output in `cf logs` or Logit.
To fix this, we start a separate tail process to duplicate logs written
to a file to stdout, which should be picked up by CloudFoundry.
