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Process Incomplete Jobs
- Added a new task to process incomplete jobs - Added tests to test the new method - Updated the check for incomplete jobs method to start the new task This will effectively resume tasks which for some reason were interrupted whilst they were being processed. In some cases only some of the csv was processed, this will find the place in the csv and continue processing from that point.
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@@ -107,21 +107,31 @@ def process_job(job_id):
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).enumerated_recipients_and_personalisation:
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process_row(row_number, recipient, personalisation, template, job, service)
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job_complete(job, service, template, False, start)
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def job_complete(job, service, template, resumed, start=None):
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if template.template_type == LETTER_TYPE:
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if service.research_mode:
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update_job_to_sent_to_dvla.apply_async([str(job.id)], queue=QueueNames.RESEARCH_MODE)
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else:
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build_dvla_file.apply_async([str(job.id)], queue=QueueNames.JOBS)
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current_app.logger.info("send job {} to build-dvla-file in the {} queue".format(job_id, QueueNames.JOBS))
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current_app.logger.info("send job {} to build-dvla-file in the {} queue".format(job.id, QueueNames.JOBS))
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else:
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job.job_status = JOB_STATUS_FINISHED
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finished = datetime.utcnow()
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job.processing_finished = finished
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dao_update_job(job)
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current_app.logger.info(
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"Job {} created at {} started at {} finished at {}".format(job_id, job.created_at, start, finished)
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)
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if resumed:
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current_app.logger.info(
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"Resumed Job {} completed at {}".format(job.id, job.created_at, start, finished)
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)
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else:
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current_app.logger.info(
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"Job {} created at {} started at {} finished at {}".format(job.id, job.created_at, start, finished)
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)
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def process_row(row_number, recipient, personalisation, template, job, service):
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