def refresh_materialized_views():
"""Refreshes the materialized views for Shir Connect."""
database = Database(database='trs')
database.refresh_views()
print('Materialized views have been refreshed!')
class MM2000:
def __init__(self, database=None):
daiquiri.setup(level=logging.INFO)
self.logger = daiquiri.getLogger(__name__)
# Load column mapping configs
self.path = os.path.dirname(os.path.realpath(__file__))
filename = self.path + '/member_columns.yml'
with open(filename, 'r') as f:
self.column_mapping = yaml.safe_load(f)
self.database = Database() if not database else database
self.fake_news = FakeNews(database=self.database)
#####################################
# Methods for loading MM2000 members
#####################################
def load(self, df):
""" Loads the data in to the member database """
self.logger.info('Parsing MM2000 data.')
items = self.parse_mm2000(df)
self.logger.info('Backing up current member table.')
self.database.backup_table('members')
self.logger.info('Truncating current member table.')
self.database.truncate_table('members')
self.logger.info('Loading updated member data.')
for item in items:
self.database.load_item(item, 'members')
self.logger.info('Checking updated columns.')
good_columns = self.check_columns()
if good_columns:
self.logger.info('Generating demo data')
self.fake_news.fake_names()
self.logger.info('Refreshing materialized views.')
self.database.refresh_view('members_view')
self.database.refresh_view('participants')
else:
self.logger.warning('Column mismatch in upload')
self.database.revert_table('members')
return False
return True
def parse_mm2000(self, df):
""" Converts the MM2000 export into a list of rows """
column_mapping = self.column_mapping['MM2000']
items = []
for group in column_mapping:
column_map = column_mapping[group]['columns']
df_group = _group_mm2000(df, column_map)
if 'id_extension' in column_mapping[group]:
id_extension = column_mapping[group]['id_extension']
else:
id_extension = None
for i in df_group.index:
item = dict(df_group.loc[i])
item = _parse_postal_code(item)
item = _check_mm2000_active(item)
# ID extension for children and spouses
# since a family shares the same id
item['household_id'] = item['id']
if id_extension:
item['id'] += id_extension
# Remove invalid birthdates
item = _parse_mm2000_date(item, 'birth_date')
item = _parse_mm2000_date(item, 'membership_date')
# Skip if the member is under the minimum age
# that we keep in the database
too_young = utils.check_age(item['birth_date'], min_age=18)
if too_young:
continue
# Children only have a full name, not separate
# first names and last name
if 'first_name' not in item and item['full_name']:
item['first_name'] = item['full_name'].split()[0]
if 'last_name' not in item and item['full_name']:
item['last_name'] = item['full_name'].split()[0]
if not item['first_name'] or not item['last_name']:
continue
else:
items.append(item)
return items
def check_columns(self):
""" Checks to make sure the columns are the same in the new table """
new_columns = self.database.get_columns('members')
old_columns = self.database.get_columns('members_backup')
for column in new_columns:
if column not in old_columns:
return False
return True
###########################################
# Methods for handling MM2000 resignations
###########################################
def load_resignations(self, df):
"""Loads MM2000 resignation data into the database."""
_validate_resignation_data(df)
# Map the file column names to the databse column names
df = df.rename(columns=self.column_mapping['MM2000 Resignations'])
# Drop any rows where the resignation date is null
df = df.dropna(axis=0, how='any', subset=['resignation_date'])
for i in df.index:
member = dict(df.loc[i])
member = _parse_mm2000_date(member, 'resignation_date')
resignation_date = str(member['resignation_date'])[:10]
# TODO: This logic is specific to TRS because that's how they
# track people who rejoined the congregation. We may have to
# update this if another client uses MM2000
if 'Comment1' in member:
if 'rejoin' in str(member['Comment1']).lower():
resignation_date = None
if 'Comment2' in member:
if 'rejoin' in str(member['Comment2']).lower():
resignation_date = None
if resignation_date:
resignation_date = "'{}'".format(resignation_date)
sql = """
UPDATE {schema}.members
SET resignation_date = {resignation_date}
WHERE (household_id = '{member_id}'
OR id = '{member_id}')
""".format(schema=self.database.schema,
resignation_date=resignation_date,
member_id=member['id'])
self.database.run_query(sql)
reason = _find_resignation_reason(member['resignation_reason'])
sql = """
UPDATE {schema}.members
SET resignation_reason = '{reason}'
WHERE (household_id = '{member_id}'
OR id = '{member_id}')
""".format(schema=self.database.schema,
reason=reason,
member_id=member['id'])
self.database.run_query(sql)
self.database.refresh_views()
def test_refresh_views():
database = Database()
database.refresh_views(test=True)
def refresh_views():
"""Refreshes the materialized views for the dashboard """
database = Database()
LOGGER.info('Refreshing materialized views ...')
database.refresh_views()
class FakeNews:
"""A class for generating and uploading fake Shir Connect data."""
def __init__(self, database=None):
daiquiri.setup(level=logging.INFO)
self.logger = daiquiri.getLogger(__name__)
self.database = Database() if not database else database
self.faker = Faker()
self.postal_codes = None
def build_fake_data(self):
""" Generates fake data for the database. """
self.fake_names()
self.fake_events()
self.fake_venues()
self.database.refresh_views()
def fake_events(self):
"""Generates fake events for the events table."""
event_ids = self._get_events()
prefixes = [x for x in conf.EVENT_GROUPS]
prefixes.append(None)
for i, event_id in enumerate(event_ids):
if i % 1000 == 0:
msg = 'Generated fake names for {} events.'.format(i)
self.logger.info(msg)
fake_name = self._random_name(max_size=5)
fake_name = fake_name.replace("'", '')
np.random.shuffle(prefixes)
prefix = prefixes[0]
if prefix:
fake_name = prefix + ': ' + fake_name
fake_descr = self._random_paragraph(max_size=15)
self.database.update_column(table='events',
item_id=event_id,
column='fake_name',
value="'{}'".format(fake_name))
self.database.update_column(table='events',
item_id=event_id,
column='fake_description',
value="'{}'".format(fake_descr))
def fake_venues(self):
"""Generates fake venues for the venues table."""
venue_ids = self._get_venues()
for i, venue_id in enumerate(venue_ids):
if i % 1000 == 0:
msg = 'Generated fake names for {} venues.'.format(i)
self.logger.info(msg)
fake_name = self._random_name(max_size=2)
self.database.update_column(table='venues',
item_id=venue_id,
column='fake_name',
value="'{}'".format(fake_name))
def fake_names(self):
"""Generates fake names for the attendees, members, and orders table. """
participant_ids = self._get_participants()
for i, participant_id in enumerate(participant_ids):
if i % 1000 == 0:
msg = 'Generated fake names for {} participants.'.format(i)
self.logger.info(msg)
fake_first_name = "'{}'".format(self.faker.first_name())
fake_last_name = "'{}'".format(self.faker.last_name())
fake_email = "'{}'".format(self.faker.email())
self.database.update_column(table='participant_match',
item_id=participant_id,
column='fake_first_name',
value=fake_first_name)
self.database.update_column(table='participant_match',
item_id=participant_id,
column='fake_nickname',
value=fake_first_name)
self.database.update_column(table='participant_match',
item_id=participant_id,
column='fake_last_name',
value=fake_last_name)
self.database.update_column(table='participant_match',
item_id=participant_id,
column='fake_email',
value=fake_email)
def fake_birthday(self, min_age=18, max_age=85):
"""Generates a fake birthday that can be used in the demo version.
Parameters
----------
min_age : int
the minimum age of the random birthday
max_age : int
the maximum age of the random birthday
Returns
-------
birthday : datetime.datetime
"""
start_date = "-{}y".format(max_age)
end_date = "-{}y".format(min_age)
birthday = self.faker.date_between(start_date=start_date,
end_date=end_date)
return birthday
def fake_membership_date(self, max_age=30):
"""Generates a fake membership date for the database
Parameters
----------
max_age : int
the maximum age of the random birthday
Returns
-------
birthday : datetime.datetime
"""
start_date = "-{}y".format(max_age)
membership_date = self.faker.date_between(start_date=start_date,
end_date="today")
return membership_date #
def fake_members(self, num_members):
"""Generates fake members and loads them into the databse
Parameters
----------
num_members : int
the number of fake members to create
Returns
-------
Loads the fake members into the demo database
"""
for i in range(num_members):
member = self._fake_member(i)
self.database.load_item(member, 'members')
def _fake_member(self, identifier):
"""Generates a fake member with all of the attributes required in the
member table"""
member = {}
member['id'] = identifier
member['household_id'] = identifier
member['member_family'] = 'Y'
# Generate a male or female name with 50% probability
female = np.random.random() < .5
if female:
first_name = self.faker.first_name_female()
gender = 'F'
else:
first_name = self.faker.first_name_male()
gender = 'M'
member['first_name'] = first_name
member['nickname'] = first_name
member['last_name'] = self.faker.last_name()
member['gender'] = gender
member['email'] = self.faker.email()
member['postal_code'] = self._postal_code()
member['birth_date'] = self.fake_birthday()
membership_date = self.fake_membership_date()
member['membership_date'] = membership_date
# Make the member Jewish with 90% probability
jewish = np.random.random() < .9
religion = 'Jewish' if jewish else 'Not Jewish'
member['member_religion'] = religion
member['resignation_date'] = self._resignation_date(membership_date)
reasons = ['Too far', 'Finished bar mitzvah', 'Moved', 'Lost interest']
if member['resignation_date']:
resignation_reason = np.random.choice(reasons)
else:
resignation_reason = None
member['resignation_reason'] = resignation_reason
active = np.random.random() < .9
member['active_member'] = active and not member['resignation_date']
membership_types = ['MEMFAM', 'MEMIND', 'STAFF']
member['member_type'] = np.random.choice(membership_types,
p=[.75, .2, .05])
return member
def _resignation_date(self, membership_date, prob=.1):
"""Generates a fake resignation date with probability prob."""
# Make the member resign with 10% probability
resigned = np.random.random() < .1
resignation_date = None
if resigned:
today = datetime.datetime.now()
mem_dt = datetime.datetime.combine(membership_date,
datetime.datetime.min.time())
max_age = int(np.floor((today - mem_dt).days / 365))
if max_age > 0:
resignation_date = self.fake_membership_date(max_age)
return resignation_date
def _get_participants(self):
"""Pulls a list of participants who need fake names."""
sql = """
SELECT id
FROM {schema}.participant_match
WHERE fake_first_name IS NULL
OR fake_last_name IS NULL
OR fake_nickname IS NULL
""".format(schema=self.database.schema)
df = pd.read_sql(sql, self.database.connection)
participant_ids = list(df['id'].unique())
return participant_ids
def _postal_code(self):
"""Generates a fake postal code, weighted by numerical.
distance from the default postal_code."""
if not isinstance(self.postal_codes, pd.DataFrame):
default = conf.DEFAULT_LOCATION['postal_code']
postal_codes = self.database.read_table('geometries', ['id'])
postal_codes['weights'] = (postal_codes['id'].astype(int) -
default)**2
postal_codes.sort_values('weights', ascending=True, inplace=True)
postal_codes.reset_index(drop=True, inplace=True)
postal_codes = postal_codes[:100]
postal_codes['weights'] = (postal_codes['weights'].max() -
postal_codes['weights'])
postal_codes['weights'] = (postal_codes['weights'] /
postal_codes['weights'].sum())
self.postal_codes = postal_codes
return np.random.choice(self.postal_codes['id'],
p=self.postal_codes['weights'])
def _get_events(self):
"""Pulls a list of events that need fake names."""
sql = """
SELECT id
FROM {schema}.events
WHERE fake_name IS NULL
""".format(schema=self.database.schema)
df = pd.read_sql(sql, self.database.connection)
event_ids = list(df['id'].unique())
return event_ids
def _get_venues(self):
"""Pulls a list of events that need fake names."""
sql = """
SELECT id
FROM {schema}.venues
WHERE fake_name IS NULL
""".format(schema=self.database.schema)
df = pd.read_sql(sql, self.database.connection)
venue_ids = list(df['id'].unique())
return venue_ids
def _random_name(self, max_size=2):
"""Generates a random name for events and venues."""
phrase = self.faker.catch_phrase().split()
short_phrase = ' '.join(phrase[:max_size])
letters = list(short_phrase)
random.shuffle(letters)
name = ''.join(letters)
return name.title()
def _random_paragraph(self, max_size=15):
"""Generates a random sentence for event descriptions."""
sentences = self.faker.sentences(max_size)
scrambled_sentences = []
for sentence in sentences:
sentence_list = list(sentence)
random.shuffle(sentence_list)
scrambled_sentence = ''.join(sentence_list).replace('.', '')
scrambled_sentences.append(scrambled_sentence.capitalize())
paragraph = '. '.join(scrambled_sentences)
return paragraph