def searchByModel(self, model, save=None):
allResults = []
conn = psycopg2.connect(
host="ec2-54-243-129-189.compute-1.amazonaws.com",
database="dbfncufnkimb1n",
user=credentials.get_sql_username(),
password=credentials.get_sql_password())
cursor = conn.cursor()
query = "SELECT (location_longitude, location_latitude, vehicle_id, vehicle_name, vehicle_model) FROM turodb WHERE vehicle_model = '{}'".format(
model.title())
if verify(query) == None:
return []
cursor.execute(query)
for val in cursor.fetchall():
all_vals = [x.strip() for x in str(val[0]).split(",")]
vehicle_model = all_vals.pop(-1).replace(")", "").replace('"', '')
vehicle_name = all_vals.pop(-1).replace(")", "").replace('"', '')
vehicle_id = all_vals.pop(-1).replace(")", "")
val = ", ".join(all_vals)
print val
try:
a, b = re.findall(r"[-+]?\d*\.\d+|[-+]?\d+", str(val))
allResults.append(
[b, a, vehicle_id, vehicle_name, vehicle_model])
except Exception as exp:
print exp
pass
conn.commit()
cursor.close()
return allResults
def genRandomID():
allResults = []
conn = psycopg2.connect(host="ec2-54-243-129-189.compute-1.amazonaws.com",
database="dbfncufnkimb1n",
user=credentials.get_sql_username(),
password=credentials.get_sql_password())
cursor = conn.cursor()
cursor.execute("SELECT vehicle_id FROM turodb ORDER BY RANDOM() LIMIT 1")
return cursor.fetchone()[0]
def getTotalModel(self, vehicle_model):
allResults = []
conn = psycopg2.connect(
host="ec2-54-243-129-189.compute-1.amazonaws.com",
database="dbfncufnkimb1n",
user=credentials.get_sql_username(),
password=credentials.get_sql_password())
cursor = conn.cursor()
#cursor.execute("SELECT vehicle_name, rate_daily, location_address, vehicle_image_thumbnails_620x372, vehicle_year FROM turodb WHERE vehicle_id = {}".format(int(vehicle_id)))
query = "SELECT COUNT(rate_daily) FROM turodb WHERE UPPER(vehicle_model) like '{}'".format(
vehicle_model.upper())
if verify(query) == None:
return []
cursor.execute(query)
val = cursor.fetchone()[0]
return int(val)
def makeQuery(sqlQuery, params=None):
allResults = []
conn = psycopg2.connect(host="ec2-54-243-129-189.compute-1.amazonaws.com",
database="dbfncufnkimb1n",
user=credentials.get_sql_username(),
password=credentials.get_sql_password())
cursor = conn.cursor()
if verify(sqlQuery) == None:
return [], False
cursor.execute(sqlQuery)
for v in cursor.fetchall():
if params == None:
allResults.append(v)
else:
info = {}
for i, val in enumerate(params):
info[val] = v[i]
allResults.append(info)
return allResults, True
def searchSingleID(self, vehicle_id):
allResults = []
conn = psycopg2.connect(
host="ec2-54-243-129-189.compute-1.amazonaws.com",
database="dbfncufnkimb1n",
user=credentials.get_sql_username(),
password=credentials.get_sql_password())
cursor = conn.cursor()
#cursor.execute("SELECT vehicle_name, rate_daily, location_address, vehicle_image_thumbnails_620x372, vehicle_year FROM turodb WHERE vehicle_id = {}".format(int(vehicle_id)))
query = "SELECT {} FROM turodb WHERE vehicle_id = {}".format(
', '.join(ALL_KEYS), int(vehicle_id))
if verify(query) == None:
return []
cursor.execute(query)
for val in cursor.fetchall():
allResults.append(val)
conn.commit()
cursor.close()
return allResults
def get_all_lng_lat(self):
allResults = []
conn = psycopg2.connect(
host="ec2-54-243-129-189.compute-1.amazonaws.com",
database="dbfncufnkimb1n",
user=credentials.get_sql_username(),
password=credentials.get_sql_password())
cursor = conn.cursor()
cursor.execute(
"SELECT (location_longitude, location_latitude, vehicle_id, vehicle_name, vehicle_model) FROM turodb"
)
for val in cursor.fetchall():
all_vals = [x.strip() for x in str(val[0]).split(",")]
vehicle_model = all_vals.pop(-1).replace(")", "")
vehicle_name = all_vals.pop(-1).replace(")", "")
vehicle_id = all_vals.pop(-1).replace(")", "")
val = ", ".join(all_vals)
print val
a, b = re.findall(r"[-+]?\d*\.\d+|[-+]?\d+", str(val))
allResults.append([b, a, vehicle_id, vehicle_name, vehicle_model])
conn.commit()
cursor.close()
return allResults
import psycopg2
import json
import credentials
values = json.load(open("dataset/data.json"))
conn = psycopg2.connect(host="ec2-54-243-129-189.compute-1.amazonaws.com",
database="dbfncufnkimb1n",
user=credentials.get_sql_username(),
password=credentials.get_sql_password())
listofvalues = [
'reviewCount', 'rating', 'owner_image_thumbnails_225x225',
'location_precision_accuracy', 'responseTime', 'rate_monthly',
'owner_image_thumbnails_84x84', 'vehicle_marketCountry',
'vehicle_listingCreatedTime', 'vehicle_marketCurrency_decimalPlaces',
'owner_image_id', 'vehicle_marketCurrency_currencyCode',
'images_0_thumbnails_170x125',
'rate_averageDailyPriceWithCurrency_currencyCode', 'owner_lastName',
'rate_averageDailyPriceWithCurrency_amount', 'owner_firstName',
'vehicle_image_verified', 'location_city', 'vehicle_id',
'vehicle_marketCurrency_symbol', 'images_0_thumbnails_620x372',
'location_country', 'images_0_resizableUrlTemplate',
'vehicle_image_resizableUrlTemplate', 'location_precision_level',
'distanceLabel', 'location_longitude', 'owner_image_placeholder',
'vehicle_automaticTransmission', 'vehicle_make', 'owner_image_verified',
'vehicle_image_thumbnails_574x343', 'vehicle_year',
'images_0_thumbnails_50x30', 'owner_image_thumbnails_32x32', 'vehicle_url',
'rentableFromSearchedAirport',
'vehicle_marketCurrency_defaultFractionDigits', 'responseRate',
'owner_image_originalImageUrl', 'rate_daily', 'deliveryLabel',
'images_0_originalImageUrl', 'vehicle_image_originalImageUrl',