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aws_collect_data_semi_manual.py
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aws_collect_data_semi_manual.py
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import datetime
import mysql.connector
import numpy as np
import os
import psycopg2
from dotenv import load_dotenv, find_dotenv
from v2_dictionaries_and_lists import *
from provisional_list import provisional_list
load_dotenv()
############################################################################################################
'''Verify the credentials before running deployment. '''
############################################################################################################
def populate_raw_table():
'''
Pulls the raw data and puts it down in our database.
'''
try:
# Stablishes connection with our db
connection = psycopg2.connect(user=os.environ.get('aws_db_user'),
password=os.environ.get('aws_db_password'),
host=os.environ.get('aws_db_host'),
port=os.environ.get('aws_db_port'),
database=os.environ.get('aws_db_name'))
# Create the cursor.
cursor = connection.cursor()
# Giving it some help.
for idrow in provisional_list:
# Stablishes connection with Sauti's database.
conn = mysql.connector.connect(user=os.environ.get('sauti_db_user'), password=os.environ.get('sauti_db_password'),host=os.environ.get('sauti_db_host'), database=os.environ.get('sauti_db_name'))
cur = conn.cursor(dictionary=True)
cur.execute('''
SELECT *
FROM platform_market_prices2
WHERE id = %s
''', (idrow,))
rows = cur.fetchall()
cur.close()
conn.close()
if rows:
for row in rows:
market = row['market'].lower().title()
product = row['product'].lower().title()
market = row['market'].lower().title()
country = row['country']
source = row['source']
date_price = row['date'].strftime('%Y-%m-%d')
retail_observed_price = row['retail']
wholesale_observed_price = row['wholesale']
currency_code = row['currency']
unit_scale = row['unit'].lower()
if market in correct_markets_dict:
market = correct_markets_dict[market]
if product in correct_prod_dict:
product = correct_prod_dict[product]
if unit_scale in correct_scale_dict.keys():
unit_scale = correct_scale_dict[unit_scale]
# Pull the source id.
cursor.execute('''
SELECT id
FROM sources
WHERE source_name = %s
''', (source,))
source_id = cursor.fetchall()
if not source_id:
print('This product is not in the products table', product,'.')
error_vector = (row['product'],row['market'],row['country'],row['unit'],row['source'],row['currency'],row['date'],row['retail'],row['wholesale'],row['id'],datetime.date.today(),'product')
query_error_log = '''
INSERT INTO error_logs (
product_name,
market_name,
country_code,
unit_scale,
source_name,
currency_code,
date_price,
retail_observed_price,
wholesale_observed_price,
mysql_db_id,
error_date,
possible_error
)
VALUES (
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s
);
'''
cursor.execute(query_error_log,error_vector)
connection.commit()
print('Error with values:', error_vector, "has been added to the error's table.")
break
else:
source_id = source_id[0][0]
# Verify the product is in the products' table.
cursor.execute('''
SELECT id
FROM products
WHERE product_name = %s
''', (product,))
product_id = cursor.fetchall()
if not product_id:
print('This product is not in the products table', product,'.')
error_vector = (row['product'],row['market'],row['country'],row['unit'],row['source'],row['currency'],row['date'],row['retail'],row['wholesale'],row['id'],datetime.date.today(),'product')
query_error_log = '''
INSERT INTO error_logs (
product_name,
market_name,
country_code,
unit_scale,
source_name,
currency_code,
date_price,
retail_observed_price,
wholesale_observed_price,
mysql_db_id,
error_date,
possible_error
)
VALUES (
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s
);
'''
cursor.execute(query_error_log,error_vector)
connection.commit()
print('Error with values:', error_vector, "has been added to the error's table.")
break
# Verify the market is in the markets' table.
cursor.execute('''
SELECT market_id
FROM markets
WHERE market_name = %s
AND country_code = %s
''', (market,country))
market_id = cursor.fetchall()
if not market_id:
print('This market', market, 'is not in the country', country,'.')
error_vector = (row['product'],row['market'],row['country'],row['unit'],row['source'],row['currency'],row['date'],row['retail'],row['wholesale'],row['id'],datetime.date.today(),'market')
query_error_log = '''
INSERT INTO error_logs (
product_name,
market_name,
country_code,
unit_scale,
source_name,
currency_code,
date_price,
retail_observed_price,
wholesale_observed_price,
mysql_db_id,
error_date,
possible_error
)
VALUES (
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s
);
'''
cursor.execute(query_error_log,error_vector)
connection.commit()
print('Error with values:', error_vector, "has been added to the error's table.")
break
else:
market_id = market_id[0][0]
# Verify the currency is in the currencies' table.
cursor.execute('''
SELECT id
FROM currencies
WHERE currency_code = %s
''', (currency_code,))
currency_id = cursor.fetchall()[0][0]
if not currency_id:
print('This currency is not in the db', currency_code,'.')
error_vector = (row['product'],row['market'],row['country'],row['unit'],row['source'],row['currency'],row['date'],row['retail'],row['wholesale'],row['id'],datetime.date.today(),'currency')
query_error_log = '''
INSERT INTO error_logs (
product_name,
market_name,
country_code,
unit_scale,
source_name,
currency_code,
date_price,
retail_observed_price,
wholesale_observed_price,
mysql_db_id,
error_date,
possible_error
)
VALUES (
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s
);
'''
cursor.execute(query_error_log,error_vector)
connection.commit()
print('Error with values:', error_vector, "has been added to the error's table.")
break
vector = (product,market_id,unit_scale,source_id,currency_code,date_price, retail_observed_price,wholesale_observed_price)
# Verify if the vector is already in the db:
cursor.execute('''
SELECT id
FROM raw_table
WHERE product_name = %s
AND market_id = %s
AND unit_scale = %s
AND source_id = %s
AND currency_code = %s
AND date_price = %s
''', (product,market_id,unit_scale,source_id,currency_code,date_price))
result = cursor.fetchall()
if not result:
query_insert_product_info = '''
INSERT INTO raw_table (
product_name,
market_id,
unit_scale,
source_id,
currency_code,
date_price,
retail_observed_price,
wholesale_observed_price
)
VALUES (
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s
);
'''
cursor.execute(query_insert_product_info,vector)
connection.commit()
print(vector, 'added to the db.')
else:
# print(vector, 'already in the db.')
pass
del result
# cursor.close()
# connection.close()
except (Exception, psycopg2.Error) as error:
print('Error inserting or verifying the values.')
error_vector = (row['product'],row['market'],row['country'],row['unit'],row['source'],row['currency'],row['date'],row['retail'],row['wholesale'],row['id'],datetime.date.today(),'unknown')
query_error_log = '''
INSERT INTO error_logs (
product_name,
market_name,
country_code,
unit_scale,
source_name,
currency_code,
date_price,
retail_observed_price,
wholesale_observed_price,
mysql_db_id,
error_date,
possible_error
)
VALUES (
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s,
%s
);
'''
cursor.execute(query_error_log,error_vector)
connection.commit()
print('Error with values:', error_vector, "has been added to the error's table.")
finally:
if (connection):
cursor.close()
connection.close()
print('Connection closed.')
def write_index():
# Stablishes connection with the Stakeholder's db.
conn = mysql.connector.connect(user=os.environ.get('sauti_db_user'), password=os.environ.get('sauti_db_password'),host=os.environ.get('sauti_db_host'), database=os.environ.get('sauti_db_name'))
cur = conn.cursor()
cur.execute('''
SELECT MAX(id)
FROM platform_market_prices2
''')
final_id = cur.fetchall()
if final_id:
final_id = final_id[0][0]
connection = psycopg2.connect(user=os.environ.get('aws_db_user'),
password=os.environ.get('aws_db_password'),
host=os.environ.get('aws_db_host'),
port=os.environ.get('aws_db_port'),
database=os.environ.get('aws_db_name'))
# Create the cursor.
cursor = connection.cursor()
# Define the values to be inserted.
pulled_data = datetime.datetime.now()
vector(pulled_data,final_id)
query_logs = '''
INSERT INTO pulling_logs (
pulled_date,
final_id
)
VALUES (
%s,
%s
);
'''
cursor.execute(query_logs,vector)
connection.commit()
if __name__ == "__main__":
populate_raw_table()
# write_index()