def create_job(service_id): dao_fetch_service_by_id(service_id) data = request.get_json() data.update({ "service": service_id }) template = dao_get_template_by_id(data['template']) errors = unarchived_template_schema.validate({'archived': template.archived}) if errors: raise InvalidRequest(errors, status_code=400) data.update({"template_version": template.version}) job = job_schema.load(data).data if job.scheduled_for: job.job_status = JOB_STATUS_SCHEDULED dao_create_job(job) if job.job_status == JOB_STATUS_PENDING: process_job.apply_async([str(job.id)], queue="process-job") job_json = job_schema.dump(job).data job_json['statistics'] = [] return jsonify(data=job_json), 201
def create_bulk_job(service, api_key, template, form, recipient_csv): upload_id = upload_job_to_s3(service.id, recipient_csv.file_data) sender_id = form["validated_sender_id"] data = { "id": upload_id, "service": service.id, "template": template.id, "notification_count": len(recipient_csv), "template_version": template.version, "job_status": JOB_STATUS_PENDING, "original_file_name": form.get("name"), "created_by": current_app.config["NOTIFY_USER_ID"], "api_key": api_key.id, "sender_id": uuid.UUID(str(sender_id)) if sender_id else None, } if form.get("scheduled_for"): data["job_status"] = JOB_STATUS_SCHEDULED data["scheduled_for"] = form.get("scheduled_for") job = job_schema.load(data).data dao_create_job(job) if job.job_status == JOB_STATUS_PENDING: process_job.apply_async([str(job.id)], queue=QueueNames.JOBS) return job
def create_job(service_id): job, errors = job_schema.load(request.get_json()) if errors: return jsonify(result="error", message=errors), 400 try: save_job(job) except Exception as e: return jsonify(result="error", message=str(e)), 500 return jsonify(data=job_schema.dump(job).data), 201
def create_job(service_id): job, errors = job_schema.load(request.get_json()) if errors: return jsonify(result="error", message=errors), 400 try: save_job(job) except Exception as e: return jsonify(result="error", message=str(e)), 500 return jsonify(data=job_schema.dump(job).data), 201
def create_job(service_id): service = dao_fetch_service_by_id(service_id) if not service.active: raise InvalidRequest("Create job is not allowed: service is inactive ", 403) data = request.get_json() data.update({"service": service_id}) try: data.update(**get_job_metadata_from_s3(service_id, data['id'])) except KeyError: raise InvalidRequest({'id': ['Missing data for required field.']}, status_code=400) data['template'] = data.pop('template_id') template = dao_get_template_by_id(data['template']) if template.template_type == LETTER_TYPE and service.restricted: raise InvalidRequest( "Create letter job is not allowed for service in trial mode ", 403) if data.get('valid') != 'True': raise InvalidRequest("File is not valid, can't create job", 400) errors = unarchived_template_schema.validate( {'archived': template.archived}) if errors: raise InvalidRequest(errors, status_code=400) data.update({"template_version": template.version}) job = job_schema.load(data).data if job.scheduled_for: job.job_status = JOB_STATUS_SCHEDULED dao_create_job(job) sender_id = data.get('sender_id') if job.job_status == JOB_STATUS_PENDING: process_job.apply_async([str(job.id)], {'sender_id': sender_id}, queue=QueueNames.JOBS) job_json = job_schema.dump(job).data job_json['statistics'] = [] return jsonify(data=job_json), 201
def create_job(service_id): service = dao_fetch_service_by_id(service_id) if not service.active: raise InvalidRequest("Create job is not allowed: service is inactive ", 403) data = request.get_json() data.update({"service": service_id}) template = dao_get_template_by_id(data['template']) if template.template_type == LETTER_TYPE and service.restricted: raise InvalidRequest( "Create letter job is not allowed for service in trial mode ", 403) errors = unarchived_template_schema.validate( {'archived': template.archived}) if errors: raise InvalidRequest(errors, status_code=400) data.update({"template_version": template.version}) job = job_schema.load(data).data if job.scheduled_for: job.job_status = JOB_STATUS_SCHEDULED dao_create_job(job) if job.job_status == JOB_STATUS_PENDING: process_job.apply_async([str(job.id)], queue=QueueNames.JOBS) job_json = job_schema.dump(job).data job_json['statistics'] = [] return jsonify(data=job_json), 201