def post():
# 获取经纬坐标
coordinate_lng = request.form.get('coordinate_lng', '')
coordinate_lat = request.form.get('coordinate_lat', '')
if coordinate_lng and coordinate_lat:
# 先从数据库中 通过坐标获取地点,如果有直接返回，没有则保存
venue = db.session.query(Venue).filter(
Venue.coordinate_lng == coordinate_lng,
Venue.coordinate_lat == coordinate_lat).first()
if venue:
data = {'id': venue.id}
return jsonify({'code': 1, 'result': data})
else:
try:
venue = Venue()
venue.name = request.form.get('name', '')
venue.address = request.form.get('address', '')
venue.coordinate_lng = coordinate_lng
venue.coordinate_lat = coordinate_lat
venue.category = request.form.get('category', '')
venue.link_man_mobile = request.form.get('link_man_mobile', '')
venue = Venue().add(venue)
data = {'id': venue.id}
return jsonify({'code': 1, 'result': data})
except Exception, e:
current_app.logger.error(str(e))
e_msg = ' venue save error '
return jsonify({'code': 0, 'error': e_msg})
def create_venue_submission():
error = False
data = request.form
try:
venue = Venue()
venue.name = data['name']
venue.city = data['city']
venue.state = data['state']
venue.address = data['address']
venue.phone = data.get('phone', '')
venue.facebook_link = data.get('facebook_link', '')
venue.genres = [
VenueGenres(genre=GenreEnum[genre])
for genre in data.getlist('genres')
]
db.session.add(venue)
db.session.commit()
except:
error = True
db.session.rollback()
finally:
data = venue.to_dict()
db.session.close()
if not error:
# on successful db insert, flash success
flash(f'Venue {data["name"]} was successfully listed!',
'alert-success')
else:
# on unsuccessful db insert, flash an error
flash(
f'An error occurred. Venue {data["name"]} could not be listed. \
Does the venue already exist?', 'alert-danger')
return render_template('pages/home.html')
def import_data_from_test_csv(db_session, db_uri):
import pandas as pd
from sqlalchemy import create_engine
from app.models import City, Venue, Team, Official
# read raw matches csv files
df = pd.read_csv('test_files/matches.csv', parse_dates=['date'])
# save cities and venues
city_venue_df = df[['city', 'venue']].drop_duplicates()
zip_city_venue = zip(city_venue_df['city'], city_venue_df['venue'])
for cv in zip_city_venue:
city = City()
city.name = cv[0]
db_session.add(city)
db_session.commit()
venue = Venue()
venue.city_id = city.id
venue.name = cv[1]
db_session.add(venue)
db_session.commit()
# save teams
team_set1 = set(df['team1'].drop_duplicates())
team_set2 = set(df['team2'].drop_duplicates())
all_teams = team_set1.union(team_set2)
for team in all_teams:
team_model = Team()
team_model.name = team
db_session.add(team_model)
# save umpires
umpire_set1 = set(df['umpire1'].drop_duplicates())
umpire_set2 = set(df['umpire2'].drop_duplicates())
all_umpires = umpire_set1.union(umpire_set2)
for umpire in all_umpires:
umpire_model = Official()
umpire_model.name = umpire
db_session.add(umpire_model)
db_session.commit()
# create a dict with key and name mappings for
# cities, venues, teams and officials
cities = db_session.query(City).all()
cities_dict = {city.name: city.id for city in cities}
venues = db_session.query(Venue).all()
venues_dict = {venue.name: venue.id for venue in venues}
teams = db_session.query(Team).all()
teams_dict = {team.name: team.id for team in teams}
officials = db_session.query(Official).all()
officials_dict = {official.name: official.id for official in officials}
# cities = df_matches['city'].drop_duplicates()
# cities_dict = {x: y for y,x in enumerate(cities)}
db_session.close()
# change city, venue, team1, team2, umpire1, umpire2
# names to their corresponding 'ids' from database
df['city'] = df['city'].apply(lambda x: cities_dict[x])
df['venue'] = df['venue'].apply(lambda x: venues_dict[x])
df['team1'] = df['team1'].apply(lambda x: teams_dict[x])
df['team2'] = df['team2'].apply(lambda x: teams_dict[x])
df['toss_winner'] = df['toss_winner'].apply(lambda x: teams_dict[x])
df['winner'] = df['winner'].apply(lambda x: teams_dict[x])
df['umpire1'] = df['umpire1'].apply(lambda x: officials_dict[x])
df['umpire2'] = df['umpire2'].apply(lambda x: officials_dict[x])
# create sqlalchemy engine
engine = create_engine(db_uri)
# Insert dataframe into 'Matches' table
df.to_sql('Matches', con=engine, if_exists='replace', index=False)
def load_csv_data_into_tables(db_session):
from lib.src.d02_intermediate.clean_data import clean_null_values_in_csv
from lib.src.d03_processing.get_cleaned_data import get_dataframe
# clean the raw 'matches.csv' file
clean_null_values_in_csv()
# get pandas dataframe from the cleaned up csv
df = get_dataframe()
# save cities and venues
city_venue_df = df[['city', 'venue']].drop_duplicates()
zip_city_venue = zip(city_venue_df['city'], city_venue_df['venue'])
for cv in zip_city_venue:
city = City()
city.name = cv[0]
db_session.add(city)
db_session.commit()
venue = Venue()
venue.city_id = city.id
venue.name = cv[1]
db_session.add(venue)
# db_session.commit()
# save teams
teams_df = df['team1'].drop_duplicates()
teams_list = [team for team in teams_df]
for team in teams_list:
team_model = Team()
team_model.name = team
db_session.add(team_model)
# save umpires
umpire_set1 = set(df['umpire1'].drop_duplicates())
umpire_set2 = set(df['umpire2'].drop_duplicates())
all_umpires = umpire_set1.union(umpire_set2)
for umpire in all_umpires:
umpire_model = Official()
umpire_model.name = umpire
db_session.add(umpire_model)
db_session.commit()
# create a dict with key and name mappings for
# cities, venues, teams and officials
cities = db_session.query(City).all()
cities_dict = {city.name: city.id for city in cities}
venues = db_session.query(Venue).all()
venues_dict = {venue.name: venue.id for venue in venues}
teams = db_session.query(Team).all()
teams_dict = {team.name: team.id for team in teams}
officials = db_session.query(Official).all()
officials_dict = {official.name: official.id for official in officials}
# cities = df_matches['city'].drop_duplicates()
# cities_dict = {x: y for y,x in enumerate(cities)}
# db_session.close()
# change city, venue, team1, team2, umpire1, umpire2
# names to their corresponding 'ids' from database
df['city'] = df['city'].apply(lambda x: cities_dict[x])
df['venue'] = df['venue'].apply(lambda x: venues_dict[x])
df['team1'] = df['team1'].apply(lambda x: teams_dict[x])
df['team2'] = df['team2'].apply(lambda x: teams_dict[x])
df['toss_winner'] = df['toss_winner'].apply(lambda x: teams_dict[x])
df['winner'] = df['winner'].apply(lambda x: teams_dict[x])
df['umpire1'] = df['umpire1'].apply(lambda x: officials_dict[x])
df['umpire2'] = df['umpire2'].apply(lambda x: officials_dict[x])
# create sqlalchemy engine
engine = db_session.get_bind()
# Insert dataframe into 'Matches' table
df.to_sql('Matches', con=engine, if_exists='replace', index=False)