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get_member_data.py
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get_member_data.py
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# do we really need this?
# the race result action (get_session_data.py) seem to contain following info for attending drivers;
# 'finish_position': 15, 'finish_position_in_class': 5,
# 'old_cpi': 17.439022,'oldi_rating': 5655, 'old_ttrating': 1384,
# 'new_cpi': 17.439022, 'newi_rating': 5655, 'new_ttrating': 1384,
# the new parts are not updated when results are not an offcial
# .... as well as team info
# 'team_id': -286631, 'display_name': 'PGZ Motorsport #119', 'finish_position': 38,
import sys
import csv
from iracingdataapi.client import irDataClient
import pandas as pd
import pwinput
from tabulate import tabulate
from tqdm import tqdm #https://github.com/tqdm/tqdm/#readme
import json
import argparse
def is_allowed_gtp(iRating: int) -> bool:
if iRating >= 2750:
return True
else:
return False
def is_allowed_gt3(iRating: int) -> bool:
if iRating >= 1700:
return True
else:
return False
def is_allowed_lmp2(iRating: int) -> bool:
if iRating >= 2000:
return True
else:
return False
def get_driver_qualification(iRating: int) -> str:
if iRating >= 2750:
return 'gtp'
#elif iRating >= 2000:
# return 'lmp2'
elif iRating >= 1500:
return 'gt3'
else:
return None
def get_gt3_AM_classification(iRating: int) -> str:
if iRating > 3750:
return 'No'
elif iRating >= 2750:
return 'Gold'
else:
return 'Silver'
def get_member_latest_iRating(df_member_chart_data: pd) -> int:
#df_latest = df_member_chart_data.iloc[-1] #get the latest iRating (last row)
#last_value = df_latest['value']
if 'value' in df_member_chart_data.columns:
last_value = df_member_chart_data['value'].iat[-1]
else:
last_value = 0
return last_value
def get_driver_information(idc: irDataClient, df_member_data: pd) -> pd:
member_count = len(df_member_data)
df_pec_driver_info = pd.DataFrame(columns=['cust_id','display_name','latest_iRating', 'gtp','lmp2','gt3pro','gt3am'])
print('Getting driver chart data')
print()
#df_pec_driver_info = None
with tqdm(total=member_count) as pbar:
for index, df_row in df_member_data.iterrows():
cust_id = df_row['cust_id'] #no need to do something like df_row.iloc[0]['cust_id'] as it already is a single row
try:
#df_member_chart_data = get_member_chart_data(idc,cust_id)
#display_name = df_row['display_name']
#latest_iRating = get_member_latest_iRating(df_member_chart_data)
display_name = df_row['display_name']
latest_iRating = get_member_irating(idc,cust_id)
gtp = is_allowed_gtp(latest_iRating)
lmp2 = is_allowed_lmp2(latest_iRating)
gt3 = is_allowed_gt3(latest_iRating)
gt3_class = get_gt3_AM_classification(latest_iRating)
df_pec_driver_info.loc[index] = [cust_id,display_name,latest_iRating,gtp,lmp2,gt3,gt3_class]
except:
print(f"WARNING: Could not find info for cust_id: {cust_id}")
pbar.update(1)
print()
return df_pec_driver_info
def get_member_chart_data(idc: irDataClient, custid: int) -> pd:
member_chart_data = idc.member_chart_data(cust_id=custid, category_id=5)
df_member_chart_data = pd.DataFrame.from_dict(member_chart_data['data'])
return df_member_chart_data
def get_member_irating(idc: irDataClient, cust_id: int, category_id=5) -> int:
member_profile = idc.member_profile(cust_id=cust_id)
for license_history in member_profile['license_history']:
if license_history['category_id'] == category_id:
return license_history['irating']
return None
df_member_chart_data = pd.DataFrame.from_dict(member_chart_data['data'])
return df_member_chart_data
"""
def get_member_data(idc: irDataClient, df_league_roster:pd) -> pd:
custid = dict(df_league_roster['cust_id'])
custid_list = list(custid.values())
custid_json = json.dumps(custid_list)
member_data = idc.member(cust_id=custid_list)
df_member_data = pd.DataFrame.from_dict(member_data['members'])
return df_member_data
"""
def get_member_data(idc: irDataClient, cust_id) -> pd:
member_data = None
try:
member_data = idc.member(cust_id=cust_id)
#df_member_data = pd.DataFrame.from_dict(member_data['members'])
#return df_member_data
except:
return member_data
return member_data
def import_csv(path: str) -> dict:
file = open(path, "r")
data = list(csv.reader(file, delimiter=","))
file.close()
return data
if __name__ == '__main__':
#https://stackoverflow.com/questions/40001892/reading-named-command-arguments
#https://stackoverflow.com/questions/15301147/python-argparse-default-value-or-specified-value
#expand later to use a config file instead of defaults
parser=argparse.ArgumentParser()
parser.add_argument("--username", help="", default='', type=str)
parser.add_argument("--password", help="", default='', type=str)
parser.add_argument("--league_id", help="", default=5606, type=int) #PEC league
parser.add_argument("--roster", help="", type=str)#default='league_roster.csv',
parser.add_argument("--data", help="", default='member_data.csv', type=str)
#parser.add_argument("--csv", help="", default=True, type=bool)
#parser.add_argument("--json", help="", default=True, type=bool)
args=parser.parse_args()
#print(f"Args: {args}\nCommand Line: {sys.argv}\nfoo: {args.foo}")
#print(f"Dict format: {vars(args)}")
username = args.username
password = args.password
roster = args.roster
data = args.data
league_id = args.league_id
#jsondump = args.json
#csvdump = args.csv
if username == "":
username = input("Enter username: ")
if password == "":
password = pwinput.pwinput(prompt='Enter password: ')
idc = irDataClient(username=username, password=password)
# Get generic league information
if roster == None:
league_information = idc.league_get(league_id)
df_league_roster = pd.json_normalize(league_information['roster'])
else:
df_league_roster = pd.read_csv(roster)
#
#try to make following code simpler?
#check if one call can be made with all cust_id at once to idc.member instead of one by one
#
df_league_roster_count = len(df_league_roster)
cust_id_array = df_league_roster['cust_id'].values
#should be of type {}
members = []
#new_list = []
with tqdm(total=df_league_roster_count) as pbar:
for cust_id in cust_id_array:
#for index, df_row in df_league_roster.iterrows():
#cust_id = df_row['cust_id']
member_data = get_member_data(idc, cust_id)
if member_data != None:
members += member_data['members']
#new_list.append(member_data['members'])
pbar.update(1)
#df_member_data = get_member_data(idc,df_league_roster)
#df_member_data = get_member_data(idc, csvdata)
df_member_data = pd.DataFrame.from_dict(members)
df_pec_driver_info = get_driver_information(idc,df_member_data)
#print(f"{custid[0]},{display_name2},{latest_iRating},{driver_classification},{driver_qualification}")
print(tabulate(df_pec_driver_info, headers = 'keys', tablefmt = 'psql'))
#df_pec_driver_info.to_csv(csv_name,index=False,columns=['cust_id','display_name','latest_iRating', 'driver_classification','driver_qualification'])
df_pec_driver_info.to_csv(data,index=False)