"memory":
fields.Integer(description="Memory limit for the job, in Mi",
required=True),
"deadline":
fields.Integer(description="Maximum runtime of fuzzing step",
required=True),
},
)
job_request_model = api.clone(
"JobRequest",
job_base_model,
{
"job_name":
fields.String(description="Name for job", required=True),
"target":
fields.String(
description=
"Base64 encoded zip archive containing target binary and corpus",
required=True,
),
},
)
job_response_model = api.clone(
"JobResponse",
job_base_model,
{
"job_id":
fields.String(description="Unique ID for job", required=True),
"create_time":
fields.DateTime(description="Internal job creation timestamp",
notifications_model = api.model(
"Notification model",
{
"to": fields.Integer(required=True, location="json"),
"title": fields.String(required=True, location="json"),
"body": fields.String(required=True, location="json"),
"data": fields.Wildcard(IntegerOrStringField, required=False, location="json"),
},
)
scheduled_notifications_model = api.clone(
"Scheduled notification model",
notifications_model,
{
"at": fields.DateTime(
required=True, help="UTC ISO 8601 datetime to send the notification at"
)
},
)
user_token_parser = reqparse.RequestParser()
user_token_parser.add_argument(
"user_id",
type=int,
help="User id the token belongs to",
required=True,
location="json",
)
user_token_parser.add_argument(
"push_token",
