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script_8.py
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script_8.py
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import requests as req
import pandas as pd
import pytd.pandas_td as td
import json
import argparse
import time
import re
import logging
import numpy as np
# Initialize variables containing security key and base url
def main():
"""
Function:
Read the readme.md file to check details about the main function of the script.
Parameters:
args (list of str): Command-line arguments passed to the script.
"""
# Start the timer
start_time = time.time()
logging.basicConfig(level=logging.CRITICAL)
for logger_name in logging.root.manager.loggerDict:
logging.getLogger(logger_name).setLevel(logging.CRITICAL)
print("START SCRIPT...")
print('---------------------------------------------------------------------------------------------------')
print('READ INPUT FILE')
# Configuration de l'analyseur d'arguments
parser = argparse.ArgumentParser(description="Définir le mode d'exécution de l'application")
parser.add_argument('mode', choices=['development', 'production'], help="Mode d'exécution (development ou production)")
# Analyse des arguments
args = parser.parse_args()
# Définition de la clé API selon le mode
if args.mode == 'development':
api_key = '75/9c1c10996eec2ea8d1401c2a45585522bd7d09d5'
elif args.mode == 'production':
api_key = '100/5ac427b7cbef8f9e72ed4ba90e74959fb458db23'
# Exécution de la logique principale avec la clé API définie
print(f"Exécution en mode {args.mode}")
# Ajoutez ici le reste de votre code qui utilise la clé API
input_df = pd.read_csv('data/script_8/input.csv')
input_df.reset_index(drop=True, inplace=True)
print('Input file row filtered: ', len(input_df))
print('---------------------------------------------------------------------------------------------------')
print('SETUP VARIABLES')
url = f'https://api.eu01.treasuredata.com/v3/job/list?from=0&to=499'
headers = {
"Authorization": "TD1 "+ api_key, # Si l'API nécessite une clé d'API ou un token
}
response = req.get(url, headers=headers)
resp_json = response.json()
# Verift that the response don't return an error
if response.status_code == 200:
columns = ['jobID', 'database', 'status','duration','query_size','result_size','priority_order']
df_jobs = pd.DataFrame(np.nan, index=range(len(resp_json['jobs'])),columns=columns)
for i in range(len(resp_json['jobs'])):
if "cdp_audience" in resp_json['jobs'][i]["database"] :
df_jobs['jobID'][i] = resp_json['jobs'][i]["job_id"]
df_jobs['database'][i] = resp_json['jobs'][i]["database"]
df_jobs['status'][i] = resp_json['jobs'][i]["status"]
df_jobs['duration'][i] = resp_json['jobs'][i]["duration"]
df_jobs['query_size'][i] = len(resp_json['jobs'][i]["query"])
df_jobs['result_size'][i] = resp_json['jobs'][i]["result_size"]
df_jobs = df_jobs[df_jobs['jobID'] != np.nan].reset_index()
df_jobs = df_jobs[df_jobs['status'] == "success"].reset_index()
threshold_duration = df_jobs['duration'].quantile(0.75)
threshold_query_size = df_jobs['query_size'].quantile(0.75)
df_jobs.loc[(df_jobs['duration'] >= threshold_duration) & (df_jobs['query_size'] >= threshold_query_size), 'priority_order'] = 4
df_jobs.loc[(df_jobs['duration'] >= threshold_duration) & (df_jobs['query_size'] <= threshold_query_size), 'priority_order'] = 3
df_jobs.loc[(df_jobs['duration'] <= threshold_duration) & (df_jobs['query_size'] >= threshold_query_size), 'priority_order'] = 2
df_jobs.loc[(df_jobs['duration'] <= threshold_duration) & (df_jobs['query_size'] <= threshold_query_size), 'priority_order'] = 1
pd.set_option('display.max_rows', len(df_jobs))
print(df_jobs.loc[:, 'database'])
print(len(df_jobs))
filtered_jobs = df_jobs[df_jobs['priority_order'] == 4]
print(filtered_jobs['jobID'].to_list())
list_id = pd.DataFrame(filtered_jobs['jobID'].to_list())
print(list_id)
columns = ['ID', 'database', 'query','parent_segment','audienceId','segment_name','last_update']
dataframe = pd.DataFrame(np.nan, index=range(len(list_id)), columns=columns)
print(dataframe)
for index,item in list_id.iterrows():
if index == 0:
print(item)
url = f'https://api.eu01.treasuredata.com/v3/job/show/{item[0]}'
headers = {
"Authorization": "TD1 "+ api_key, # Si l'API nécessite une clé d'API ou un token
}
response = req.get(url, headers=headers)
resp_json = response.json()
# Verift that the response don't return an error
if response.status_code == 200:
rows = []
if str(resp_json['job_id']) == str(item[0]):
dataframe['ID'][index] = resp_json['job_id']
dataframe['database'][index] = resp_json['database']
dataframe['query'][index] = resp_json['query']
dataframe['query'][index] = re.sub(r'--.*', '', dataframe['query'][index])
dataframe['query'][index] = re.sub(r'/\*.*?\*/', '', dataframe['query'][index], flags=re.DOTALL)
dataframe['query'][index] = re.sub(r'\s+', ' ', dataframe['query'][index]).strip()
query_df = dataframe['query'][index]
if 'a."cdp_customer_id"' in query_df:
query_df = query_df.replace('a."cdp_customer_id"','a.*',1)
if ' limit 50' in query_df:
query_df = query_df.replace(' limit 50','')
dataframe['query'][index] = query_df
query_df = query_df.replace(' ','')
print(query_df)
url = "https://api-cdp.eu01.treasuredata.com/audiences"
headers = {
"Authorization": "TD1 "+ api_key, # Si l'API nécessite une clé d'API ou un token
}
response = req.get(url, headers=headers)
# Verift that the response don't return an error
if response.status_code == 200:
for parent_segment in response.json():
if parent_segment["id"] == dataframe["database"][index][13:19]:
name = parent_segment['name']
audienceId = parent_segment['id']
dataframe['parent_segment'][index] = name
dataframe['audienceId'][index] = audienceId
url = f"https://api-cdp.eu01.treasuredata.com/audiences/{dataframe['audienceId'][index]}/segments"
headers = {
"Authorization": "TD1 "+ api_key, # Si l'API nécessite une clé d'API ou un token
}
response = req.get(url, headers=headers)
# Verift that the response don't return an error
if response.status_code == 200:
data_list = []
for segment in response.json():
data = segment['rule']
# Convertir le dictionnaire Python en JSON
json_rule = json.dumps(data, indent=4)
data_list.append((segment['name'], json_rule,segment['updatedAt']))
df = pd.DataFrame(data_list, columns=['name', 'rule','updatedAt'])
for i in range(len(df)):
url = f"https://api-cdp.eu01.treasuredata.com/audiences/{dataframe['audienceId'][index]}/segments/query"
headers = {
"Authorization": "TD1 "+ api_key,
"Content-Type": "application/json"# Si l'API nécessite une clé d'API ou un token
}
body = {
"format": "sql",
"rule": json.loads(df['rule'][i])
}
response = req.post(url, headers=headers,json=body)
# Verift that the response don't return an error
if response.status_code == 200 :
response = response.json()
response['sql'] = ' '.join(response['sql'].split()).replace(' ','')
if "selectcount(*)from(" in query_df:
response['sql'] = ("select count(*) from ( " + response['sql'] + " ) cs").replace(' ','')
if "TEC-LRAsiaWeekly-Newsletter" in response['sql'] and "TEC-LRBroadband-Newsletter" in response['sql']:
print(response['sql'])
if query_df == response['sql']:
#print(dataframe['query'][index])
#print(response['sql'])
dataframe['segment_name'][index] = df['name'][i]
dataframe['last_update'][index] = df['updatedAt'][i]
else:
print(f"Erreur: {response.status_code}, {response.text}")
else:
print(f"Erreur: {response.status_code}, {response.text}")
else:
print(f"Erreur: {response.status_code}, {response.text}")
else:
print(f"Erreur: {response.status_code}, {response.text}")
print(dataframe)
if __name__ == "__main__":
main()