mirror of
https://github.com/GSA/notifications-api.git
synced 2025-12-20 15:31:15 -05:00
Revert the following three pull requests: https://github.com/alphagov/notifications-api/pull/1085 https://github.com/alphagov/notifications-api/pull/1086 https://github.com/alphagov/notifications-api/pull/1088 celery 4.0.2 looked promising, however, on staging under mild load (5/sec api calls) the performance was actually worse than 3.1.25
30 lines
980 B
Python
30 lines
980 B
Python
from flask import Blueprint, jsonify
|
|
from flask import request
|
|
|
|
from app import notify_celery
|
|
from app.config import QueueNames
|
|
from app.dao.jobs_dao import dao_get_all_letter_jobs
|
|
from app.schemas import job_schema
|
|
from app.v2.errors import register_errors
|
|
from app.letters.letter_schemas import letter_job_ids
|
|
from app.schema_validation import validate
|
|
|
|
letter_job = Blueprint("letter-job", __name__)
|
|
register_errors(letter_job)
|
|
|
|
|
|
@letter_job.route('/send-letter-jobs', methods=['POST'])
|
|
def send_letter_jobs():
|
|
job_ids = validate(request.get_json(), letter_job_ids)
|
|
notify_celery.send_task(name="send-files-to-dvla", args=(job_ids['job_ids'],), queue=QueueNames.PROCESS_FTP)
|
|
|
|
return jsonify(data={"response": "Task created to send files to DVLA"}), 201
|
|
|
|
|
|
@letter_job.route('/letter-jobs', methods=['GET'])
|
|
def get_letter_jobs():
|
|
letter_jobs = dao_get_all_letter_jobs()
|
|
data = job_schema.dump(letter_jobs, many=True).data
|
|
|
|
return jsonify(data=data), 200
|