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193 lines (153 loc) · 6.55 KB
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' Script to prepare data from csv to be stored in SQLite database '
#!/usr/bin/env
from time import time
from datetime import datetime
from sqlalchemy import Column, Integer, Float, String, UnicodeText, DateTime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import csv
import sys
import logging
import os
#---------------------------------------------------------------------------------------------------------------------------------------#
def load_data(file_name):
' Returns a list from csv data '
csv_data = []
with open(file_name, 'rb') as f:
data = csv.reader(f)
for d in data:
csv_data.append(d)
return csv_data
#---------------------------------------------------------------------------------------------------------------------------------------#
Base = declarative_base()
class FB_Data(Base):
' Model of data for names and categories '
__tablename__ = 'FB_POSTS_DATA'
id = Column(String, primary_key=True, nullable=False)
name = Column(String(100))
category = Column(String(100))
author = Column(String(50))
like = Column(Integer)
share = Column(Integer)
comment = Column(Integer)
ctr = Column(Float)
pageviews = Column(Integer)
uniquePageviews = Column(Integer)
avgTimeOnPage = Column(Float)
newUsers = Column(Integer)
bounceRate = Column(Float)
year = Column(Integer)
month = Column(Integer)
day = Column(Integer)
hour = Column(Integer)
mins = Column(Integer)
no_of_images = Column(Integer)
no_of_videos = Column(Integer)
head_len = Column(Integer)
no_of_abusive_words = Column(Integer)
class Key_Data(Base):
' Model of data for keywords'
__tablename__ = 'KEYWORDS_DATA'
id = Column(String(100))
keywords = Column(String(100), primary_key=True)
like = Column(Integer)
share = Column(Integer)
comment = Column(Integer)
ctr = Column(Float)
#---------------------------------------------------------------------------------------------------------------------------------------#
if __name__ == "__main__":
t = time()
# creating a log file
logging.basicConfig(filename='api.log', level=logging.DEBUG)
try:
engine = create_engine('sqlite:///myData.sqlite')
if len(sys.argv) == 2:
if sys.argv[1]=='alter':
table_name = raw_input("Enter table name: ")
col_name = raw_input("Enter column name: ")
col_type = raw_input("Enter column type: ")
def_val = raw_input("Enter default value: ")
engine.execute('ALTER TABLE ' + table_name +' ADD COLUMN ' + col_name + ' ' + col_type + ' DEFAULT ' + def_val)
print "Column added successfully. Run 'python prep_data.py add' to add/update DB"
sys.exit()
elif sys.argv[1] == 'add':
Base.metadata.create_all(engine)
# Start of the session
session = sessionmaker()
session.configure(bind=engine)
s = session()
ids = []
file_name1 = "fb_posts_data.csv"
file_name2 = "keywords_data.csv"
fb_data = load_data(file_name1)
key_data = load_data(file_name2)
# Prefetch existing IDs
for dt in s.query(FB_Data):
ids.append(str(dt.id))
# Adding only those data in the original file which are not already
# present.
for i in range(len(fb_data)):
if i > 0:
if fb_data[i][0] not in ids:
ids.append(fb_data[i][0])
else:
# Pick the existing ID and delete it.
dat1 = s.query(FB_Data).filter_by(id=fb_data[i][0]).first()
s.delete(dat1)
# Add/update data
fb_record = FB_Data(**{
'id': fb_data[i][0],
'name': fb_data[i][1],
'category': fb_data[i][2],
'author': fb_data[i][3],
'like': fb_data[i][4],
'share': fb_data[i][5],
'comment': fb_data[i][6],
'ctr': fb_data[i][7],
'year': fb_data[i][8],
'month': fb_data[i][9],
'day': fb_data[i][10],
'hour': fb_data[i][11],
'mins': fb_data[i][12],
'no_of_images': fb_data[i][13],
'no_of_videos': fb_data[i][14],
'head_len': fb_data[i][15],
'no_of_abusive_words': fb_data[i][16],
'pageviews': fb_data[i][17],
'uniquePageviews': fb_data[i][18],
'avgTimeOnPage': fb_data[i][19],
'newUsers': fb_data[i][20],
'bounceRate': fb_data[i][21]
})
s.add(fb_record)
keys = []
for dt in s.query(Key_Data):
keys.append(str(dt.keywords))
# Adding only those data in the original file which are not already
# present.
for i in range(len(key_data)):
if i > 0:
if key_data[i][1] not in keys:
keys.append(key_data[i][1])
else:
# Pick the existing ID and delete it.
dat2 = s.query(Key_Data).filter_by(
keywords=key_data[i][1]).first()
s.delete(dat2)
# Add/update data
key_record = Key_Data(**{
'id': key_data[i][0],
'keywords': key_data[i][1],
'like': key_data[i][2],
'share': key_data[i][3],
'comment': key_data[i][4],
'ctr': key_data[i][5]
})
s.add(key_record)
s.commit() # Attempt to commit all the records
s.close() # Close the connection
os.system('cp myData.sqlite ../cubesviewer-server/cvapp/cubesviewer/views/')
logging.debug("Time elapsed: " + str(time() - t) + " s.")
except Exception as e:
logging.error(str(e))