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