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data_generator.py
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data_generator.py
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import csv
import pandas as pd
from faker import Faker
from pydbgen import pydbgen
from random import randint
PERSON_COUNT = 10000
CORP_COUNT = 1000
PERSON_SHAREHOLD_COUNT = 20000
CORP_REL_COUNT = 100
CORP_SHAREHOLD_COUNT = 200
PERSON_REL_COUNT = 1000
PERSON_ROLE_COUNT = 5000
WRITE_BATCH = 1000
def csv_writer(file_path, row_count, row_generator):
with open(file_path, mode='w') as file:
writer = csv.writer(
file, delimiter=',', quotechar="'", quoting=csv.QUOTE_MINIMAL)
csv_buffer = list()
for row in range(row_count):
csv_buffer.append(row_generator())
if len(csv_buffer) > WRITE_BATCH:
writer.writerows(csv_buffer)
del csv_buffer[:]
if csv_buffer:
writer.writerows(csv_buffer)
del csv_buffer[:]
generator = pydbgen.pydb()
faker = Faker()
# PERSON
person_df = generator.gen_dataframe(num=PERSON_COUNT, fields=['name'])
person_pd = pd.DataFrame(person_df)
person_pd = person_pd.set_index('p_' + person_pd.index.astype(str))
person_pd.to_csv('data/person.csv', header=False, quoting=csv.QUOTE_MINIMAL)
# CORP
corp_df = generator.gen_dataframe(num=CORP_COUNT, fields=['company'])
corp_pd = pd.DataFrame(corp_df)
corp_pd = corp_pd.set_index('c_' + corp_df.index.astype(str))
corp_pd.to_csv('data/corp.csv', header=False, quoting=csv.QUOTE_MINIMAL)
# PERSON SHAREHOLD RELATION
def person_share_generator():
"""
(pid, cid, share)
"""
return (
'p_'+str(randint(0, PERSON_COUNT-1)),
'c_'+str(randint(0, CORP_COUNT-1)),
randint(0, 15))
csv_writer(
'data/person_corp_share.csv',
PERSON_SHAREHOLD_COUNT,
person_share_generator)
# PERSON RELATION
def person_rel_generator():
"""
(pid, pid, rel_degree)
"""
return (
'p_'+str(randint(0, PERSON_COUNT-1)),
'p_'+str(randint(0, PERSON_COUNT-1)),
randint(0, 99))
csv_writer(
'data/person_rel.csv',
PERSON_REL_COUNT,
person_rel_generator)
# CORP RELATION
def corp_rel_generator():
"""
(cid, cid)
"""
return (
'c_'+str(randint(0, CORP_COUNT-1)),
'c_'+str(randint(0, CORP_COUNT-1)))
csv_writer(
'data/corp_rel.csv',
CORP_REL_COUNT,
corp_rel_generator)
# CORP Shareholding
def corp_share_generator():
"""
(cid, cid, share)
"""
return (
'c_'+str(randint(0, CORP_COUNT-1)),
'c_'+str(randint(0, CORP_COUNT-1)),
randint(0, 15))
csv_writer(
'data/corp_share.csv',
CORP_SHAREHOLD_COUNT,
corp_share_generator)
# Person Corp Role
def person_corp_role_generator():
"""
(pid, cid, role)
"""
return (
'p_'+str(randint(0, PERSON_COUNT-1)),
'c_'+str(randint(0, CORP_COUNT-1)),
faker.job())
csv_writer(
'data/person_corp_role.csv',
PERSON_ROLE_COUNT,
person_corp_role_generator)