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certificate_agent.py
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certificate_agent.py
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import json
import logging.config
import os
import sys
import time
from argparse import ArgumentParser, RawTextHelpFormatter
import settings
from gen_cert import CertificateGen
from openedx_certificates.queue_xqueue import XQueuePullManager
logging.config.dictConfig(settings.LOGGING)
log = logging.getLogger('certificates: ' + __name__)
def parse_args(args=sys.argv[1:]):
parser = ArgumentParser(description="""
Generate edX certificates
-------------------------
This script will continuously monitor a queue
for certificate generation, it does the following:
* Connect to the xqueue server
* Pull a single certificate request
* Process the request
* Post a result back to the xqueue server
A global exception handler will catch any error
during the certificate generation process and
post a result back to the LMS indicating there
was a problem.
""", formatter_class=RawTextHelpFormatter)
parser.add_argument(
'--aws-id',
default=settings.CERT_AWS_ID,
help='AWS ID for write access to the S3 bucket',
)
parser.add_argument(
'--aws-key',
default=settings.CERT_AWS_KEY,
help='AWS KEY for write access to the S3 bucket',
)
return parser.parse_args()
def main():
manager = XQueuePullManager(settings.QUEUE_URL, settings.QUEUE_NAME,
settings.QUEUE_AUTH_USER,
settings.QUEUE_AUTH_PASS,
settings.QUEUE_USER, settings.QUEUE_PASS)
last_course = None # The last course_id we generated for
cert = None # A CertificateGen instance for a particular course
while True:
if manager.get_length() == 0:
log.debug("{} has no jobs".format(str(manager)))
time.sleep(settings.QUEUE_POLL_FREQUENCY)
continue
else:
log.debug('queue length: {0}'.format(manager.get_length()))
certdata = manager.get_submission()
log.debug('xqueue response: {0}'.format(certdata))
try:
xqueue_body = json.loads(certdata['xqueue_body'])
xqueue_header = json.loads(certdata['xqueue_header'])
action = xqueue_body['action']
username = xqueue_body['username']
course_id = xqueue_body['course_id']
course_name = xqueue_body['course_name']
name = xqueue_body['name']
template_pdf = xqueue_body.get('template_pdf', None)
grade = xqueue_body.get('grade', None)
issued_date = xqueue_body.get('issued_date', None)
designation = xqueue_body.get('designation', None)
if last_course != course_id:
cert = CertificateGen(
course_id,
template_pdf,
aws_id=args.aws_id,
aws_key=args.aws_key,
long_course=course_name.encode('utf-8'),
issued_date=issued_date,
)
last_course = course_id
if action in ['remove', 'regen']:
cert.delete_certificate(xqueue_body['delete_download_uuid'],
xqueue_body['delete_verify_uuid'])
if action in ['remove']:
continue
except (TypeError, ValueError, KeyError, OSError) as e:
log.critical('Unable to parse queue submission ({0}) : {1}'.format(e, certdata))
if settings.DEBUG:
raise
else:
continue
try:
log.info(
"Generating certificate for {username} ({name}), "
"in {course_id}, with grade {grade}".format(
username=username.encode('utf-8'),
name=name.encode('utf-8'),
course_id=course_id.encode('utf-8'),
grade=grade,
)
)
(download_uuid,
verify_uuid,
download_url) = cert.create_and_upload(name.encode('utf-8'), grade=grade, designation=designation)
except Exception as e:
# global exception handler, if anything goes wrong
# during the generation of the pdf we will let the LMS
# know so it can be re-submitted, the LMS will update
# the state to error
# get as much info as possible about the exception
# for the post back to the LMS
exc_type, exc_obj, exc_tb = sys.exc_info()
fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
error_reason = (
"({username} {course_id}) "
"{exception_type}: {exception}: "
"{file_name}:{line_number}".format(
username=username,
course_id=course_id,
exception_type=exc_type,
exception=e,
file_name=fname,
line_number=exc_tb.tb_lineno,
)
)
log.critical(
'An error occurred during certificate generation {reason}'.format(
reason=error_reason,
)
)
xqueue_reply = {
'xqueue_header': json.dumps(xqueue_header),
'xqueue_body': json.dumps({
'error': 'There was an error processing the certificate request: {error}'.format(
error=e,
),
'username': username,
'course_id': course_id,
'error_reason': error_reason,
}),
}
manager.respond(xqueue_reply)
if settings.DEBUG:
raise
else:
continue
# post result back to the LMS
xqueue_reply = {
'xqueue_header': json.dumps(xqueue_header),
'xqueue_body': json.dumps({
'action': action,
'download_uuid': download_uuid,
'verify_uuid': verify_uuid,
'username': username,
'course_id': course_id,
'url': download_url,
}),
}
log.info("Posting result to the LMS: {0}".format(xqueue_reply))
manager.respond(xqueue_reply)
if __name__ == '__main__':
args = parse_args()
main()