def send_dataset_run_message_to_tb_admins(dataset_script_run):
assert isinstance(dataset_script_run, DatasetScriptRun), "dataset_script_run must be a DatasetScriptRun instance"
if dataset_script_run.result_success:
subject = "genTB: New file processed (Success)"
else:
subject = "genTB: New file processed (Fail)"
user_email = dataset_script_run.dataset.user.user.email
d = dict(dataset=dataset_script_run.dataset,
tb_user=dataset_script_run.dataset.user,
script_run=dataset_script_run,
subject=subject,
SITE_URL=get_site_url())
if dataset_script_run.result_success:
text_message = render_to_string('predict/email/pipeline_success_run.txt', d)
html_message = render_to_string('predict/email/pipeline_success_run.html', d)
else:
text_message = render_to_string('predict/email/pipeline_fail_run.txt', d)
html_message = render_to_string('predict/email/pipeline_fail_run.html', d)
send_mail_to_user_and_admins(subject, user_email, text_message, html_message)
def send_dataset_run_message_to_tb_admins(dataset_script_run):
assert isinstance(
dataset_script_run, DatasetScriptRun
), "dataset_script_run must be a DatasetScriptRun instance"
if dataset_script_run.result_success:
subject = "genTB: New file processed (Success)"
else:
subject = "genTB: New file processed (Fail)"
user_email = dataset_script_run.dataset.user.user.email
d = dict(dataset=dataset_script_run.dataset,
tb_user=dataset_script_run.dataset.user,
script_run=dataset_script_run,
subject=subject,
SITE_URL=get_site_url())
if dataset_script_run.result_success:
text_message = render_to_string(
'predict/email/pipeline_success_run.txt', d)
html_message = render_to_string(
'predict/email/pipeline_success_run.html', d)
else:
text_message = render_to_string('predict/email/pipeline_fail_run.txt',
d)
html_message = render_to_string('predict/email/pipeline_fail_run.html',
d)
send_mail_to_user_and_admins(subject, user_email, text_message,
html_message)
def send_new_dataset_message_to_tb_admins(dataset):
"""
After a prediction file is uploaded, send the TB ADMINS a message
:param dataset:
:return:
"""
subject = "genTB: New file uploaded"
d = dict(dataset=dataset,
tb_user=dataset.user,
subject=subject,
SITE_URL=get_site_url())
text_message = render_to_string('predict/email/notify_file_upload.txt', d)
html_message = render_to_string('predict/email/notify_file_upload.html', d)
send_email_to_admins(subject, text_message, html_message)
def send_new_dataset_message_to_tb_admins(dataset):
"""
After a prediction file is uploaded, send the TB ADMINS a message
:param dataset:
:return:
"""
subject = "genTB: New file uploaded"
d = dict(dataset=dataset,
tb_user=dataset.user,
subject=subject,
SITE_URL=get_site_url())
text_message = render_to_string('predict/email/notify_file_upload.txt', d)
html_message = render_to_string('predict/email/notify_file_upload.html', d)
send_email_to_admins(subject, text_message, html_message)
