def import_appointment_advisors(self):
sis_notes_schema = app.config['RDS_SCHEMA_SIS_ADVISING_NOTES']
advisor_schema_redshift = app.config['REDSHIFT_SCHEMA_ADVISOR_INTERNAL']
advisor_sids_from_sis_appointments = set(
[r['advisor_sid'] for r in rds.fetch(f'SELECT DISTINCT advisor_sid FROM {sis_notes_schema}.advising_appointments')],
)
advisor_sids_from_advisors = set(
[r['sid'] for r in redshift.fetch(f'SELECT DISTINCT sid FROM {advisor_schema_redshift}.advisor_departments')],
)
advisor_sids = list(advisor_sids_from_sis_appointments | advisor_sids_from_advisors)
advisor_attributes = calnet.client(app).search_csids(advisor_sids)
if not advisor_attributes:
raise BackgroundJobError('Failed to fetch note author attributes.')
unique_advisor_attributes = list({adv['uid']: adv for adv in advisor_attributes}.values())
with rds.transaction() as transaction:
insertable_rows = []
for entry in unique_advisor_attributes:
first_name, last_name = calnet.split_sortable_name(entry)
insertable_rows.append(tuple((entry.get('uid'), entry.get('csid'), first_name, last_name)))
result = transaction.insert_bulk(
f'INSERT INTO {sis_notes_schema}.advising_appointment_advisors (uid, sid, first_name, last_name) VALUES %s',
insertable_rows,
)
if result:
transaction.commit()
app.logger.info('Imported appointment advisor attributes.')
else:
transaction.rollback()
raise BackgroundJobError('Failed to import appointment advisor attributes.')
def _put_instructor_data_to_s3(uids):
app.logger.info(f'Starting CalNet import job for {len(uids)} instructors...')
all_attributes = calnet.client(app).search_uids(uids)
if len(uids) != len(all_attributes):
ldap_uids = [person['uid'] for person in all_attributes]
missing = set(uids) - set(ldap_uids)
app.logger.warning(f'Looked for {len(uids)} instructor UIDs but only found {len(all_attributes)} : missing {missing}')
serialized_data = ''
for index, a in enumerate(all_attributes):
uid = a['uid']
affiliations = a['affiliations']
first_name, last_name = calnet.split_sortable_name(a)
serialized_data += json.dumps({
'affiliations': ','.join(affiliations) if isinstance(affiliations, list) else affiliations,
'campus_email': a['campus_email'],
'dept_code': calnet.get_dept_code(a),
'email': a['email'],
'first_name': first_name,
'last_name': last_name,
'ldap_uid': uid,
'csid': a['csid'],
'title': a['title'],
}) + '\n'
s3.upload_data(serialized_data, f'{get_s3_calnet_daily_path()}/instructors/instructors.json')
app.logger.info(f'Uploaded data for {len(all_attributes)} instructors')
def _put_advisee_data_to_s3(sids):
app.logger.info(f'Starting CalNet import job for {len(sids)} advisees...')
all_attributes = calnet.client(app).search_csids(sids)
if len(sids) != len(all_attributes):
ldap_sids = [person['csid'] for person in all_attributes]
missing = set(sids) - set(ldap_sids)
app.logger.warning(f'Looked for {len(sids)} advisee SIDs but only found {len(all_attributes)} : missing {missing}')
serialized_data = ''
for index, a in enumerate(all_attributes):
sid = a['csid']
affiliations = a['affiliations']
first_name, last_name = calnet.split_sortable_name(a)
# JsonSerDe in Redshift schema creation requires one and only one JSON record per line in text file in S3.
serialized_data += json.dumps({
'affiliations': ','.join(affiliations) if isinstance(affiliations, list) else affiliations,
'campus_email': a['campus_email'],
'email': a['email'],
'first_name': first_name,
'last_name': last_name,
'ldap_uid': a['uid'],
'sid': sid,
}) + '\n'
s3.upload_data(serialized_data, f'{get_s3_calnet_daily_path()}/advisees/advisees.json')
app.logger.info(f'Uploaded data for {len(all_attributes)} advisees')
def _advisor_attributes_by_email(self):
data_science_schema = app.config['RDS_SCHEMA_DATA_SCIENCE']
sql = f"""
SELECT DISTINCT advisor_email FROM {data_science_schema}.advising_notes
WHERE advisor_email IS NOT NULL
"""
advisor_emails = set([r['advisor_email'] for r in rds.fetch(sql)])
return calnet.client(app).search_emails(list(advisor_emails))
def import_advisor_attributes(self):
csid_results = redshift.fetch(
resolve_sql_template_string(
'SELECT DISTINCT advisor_sid FROM {redshift_schema_advisor_internal}.advisor_students'
), )
csids = [r['advisor_sid'] for r in csid_results]
all_attributes = calnet.client(app).search_csids(csids)
if len(csids) != len(all_attributes):
ldap_csids = [person['csid'] for person in all_attributes]
missing = set(csids) - set(ldap_csids)
app.logger.warning(
f'Looked for {len(csids)} advisor CSIDs but only found {len(all_attributes)} : missing {missing}'
)
advisor_rows = []
total_count = len(all_attributes)
for index, a in enumerate(all_attributes):
sid = a['csid']
app.logger.info(
f'CalNet import: Fetch attributes of advisor {sid} ({index + 1} of {total_count})'
)
first_name, last_name = calnet.split_sortable_name(a)
data = [
a['uid'],
sid,
first_name,
last_name,
a['title'],
calnet.get_dept_code(a),
a['email'],
a['campus_email'],
]
advisor_rows.append(encoded_tsv_row(data))
s3_key = f'{get_s3_calnet_daily_path()}/advisors/advisors.tsv'
app.logger.info(
f'Will stash {len(advisor_rows)} feeds in S3: {s3_key}')
if not s3.upload_tsv_rows(advisor_rows, s3_key):
raise BackgroundJobError('Error on S3 upload: aborting job.')
app.logger.info('Will copy S3 feeds into Redshift...')
query = resolve_sql_template_string(
"""
TRUNCATE {redshift_schema_advisor_internal}.advisor_attributes;
COPY {redshift_schema_advisor_internal}.advisor_attributes
FROM '{loch_s3_calnet_data_path}/advisors/advisors.tsv'
IAM_ROLE '{redshift_iam_role}'
DELIMITER '\\t';
""", )
if not redshift.execute(query):
app.logger.error('Error on Redshift copy: aborting job.')
return False
def _advisor_attributes_by_uid(self):
asc_schema = app.config['RDS_SCHEMA_ASC']
e_i_schema = app.config['RDS_SCHEMA_E_I']
advisor_uids_from_asc_notes = set([
r['advisor_uid'] for r in rds.fetch(
f'SELECT DISTINCT advisor_uid FROM {asc_schema}.advising_notes'
)
], )
advisor_uids_from_e_i_notes = set([
r['advisor_uid'] for r in rds.fetch(
f'SELECT DISTINCT advisor_uid FROM {e_i_schema}.advising_notes'
)
], )
advisor_uids = list(advisor_uids_from_asc_notes
| advisor_uids_from_e_i_notes)
return calnet.client(app).search_uids(advisor_uids)
def _advisor_attributes_by_sid(self):
sis_notes_schema = app.config['RDS_SCHEMA_SIS_ADVISING_NOTES']
advisor_schema_redshift = app.config[
'REDSHIFT_SCHEMA_ADVISOR_INTERNAL']
advisor_sids_from_sis_notes = set([
r['advisor_sid'] for r in rds.fetch(
f'SELECT DISTINCT advisor_sid FROM {sis_notes_schema}.advising_notes'
)
], )
advisor_sids_from_advisors = set([
r['sid'] for r in redshift.fetch(
f'SELECT DISTINCT sid FROM {advisor_schema_redshift}.advisor_departments'
)
], )
advisor_sids = list(advisor_sids_from_sis_notes
| advisor_sids_from_advisors)
return calnet.client(app).search_csids(advisor_sids)
def _put_calnet_data_to_s3(sids):
all_attributes = calnet.client(app).search_csids(sids)
if len(sids) != len(all_attributes):
ldap_sids = [l['csid'] for l in all_attributes]
missing = set(sids) - set(ldap_sids)
app.logger.warning(
f'Looked for {len(sids)} SIDs but only found {len(all_attributes)} : missing {missing}'
)
serialized_data = ''
total_count = len(all_attributes)
for index, a in enumerate(all_attributes):
sid = a['csid']
app.logger.info(
f'CalNet import: Fetch attributes of student {sid} ({index + 1} of {total_count})'
)
affiliations = a['affiliations']
first_name, last_name = _split_sortable_name(a)
# JsonSerDe in Redshift schema creation requires one and only one JSON record per line in text file in S3.
serialized_data += json.dumps({
'affiliations':
','.join(affiliations)
if isinstance(affiliations, list) else affiliations,
'campus_email':
a['campus_email'],
'email':
a['email'],
'first_name':
first_name,
'last_name':
last_name,
'ldap_uid':
a['uid'],
'sid':
sid,
}) + '\n'
s3.upload_data(serialized_data,
f'{get_s3_calnet_daily_path()}/persons.json')
