ice_breaking_challenge/google_sheets.py

import os.path

from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
import pandas as pd

# If modifying these scopes, delete the file token.json.
SCOPES = ["https://www.googleapis.com/auth/spreadsheets"]

# The ID and range of a sample spreadsheet.
# SAMPLE_SPREADSHEET_ID = "1Z3doUDpoUmXs7p4-g7f8q3XZIBhH_Lz2w51bnpUFigw"
SAMPLE_SPREADSHEET_ID = "1NJGhpMsfUySHJcMBNpLTEnt-r5Co6qwRahenIa9D55k"

SERVICE = None

MAX_ROW = 100

QUESTIONS = None


def get_range(range_name: str) -> list[list[str]]:
    sheet = SERVICE.spreadsheets()
    result = (
        sheet.values()
        .get(
            spreadsheetId=SAMPLE_SPREADSHEET_ID,
            range=range_name
        )
        .execute()
    )
    values = result.get("values", [])

    return values


def load_google_sheets():
  global SERVICE, QUESTIONS
  """Shows basic usage of the Sheets API.
  Prints values from a sample spreadsheet.
  """
  creds = None
  # The file token.json stores the user's access and refresh tokens, and is
  # created automatically when the authorization flow completes for the first
  # time.
  if os.path.exists("token.json"):
    creds = Credentials.from_authorized_user_file("token.json", SCOPES)
  # If there are no (valid) credentials available, let the user log in.
  if not creds or not creds.valid:
    if creds and creds.expired and creds.refresh_token:
      creds.refresh(Request())
    else:
      flow = InstalledAppFlow.from_client_secrets_file(
        "credentials.json", SCOPES
      )
      creds = flow.run_local_server(port=0)
    # Save the credentials for the next run
    with open("token.json", "w") as token:
      token.write(creds.to_json())

  SERVICE = build("sheets", "v4", credentials=creds)

  QUESTIONS = pd.DataFrame(get_range(f"Responses!B1:F1"), columns=["Q1", "Q2", "Q3", "Q4", "Q5"])

def get_team_numbers() -> list[str]:
    values = get_range(f"Responses!I2:I{MAX_ROW}")

    return [int(value[0]) for value in values]

def get_questions_and_answers() -> pd.DataFrame:
    columns = ["Q1", "Q2", "Q3", "Q4", "Q5", "Q6", "Q7", "team_number", "email_address", "name"]

    answers_values = get_range(f"Responses!B2:K{MAX_ROW}")

    df = pd.DataFrame(answers_values, columns=columns)

    return df