To build a Discord bot that interfaces with Apollo and generates a CSV report of event responses, you'd need to integrate Apollo's API (which handles the event data) with a Discord bot capable of fetching and processing member data. Here’s a high-level breakdown to get you started:

🧩 Prerequisites

• Python 3.8+
• Discord bot token
• Apollo API access (usually via GraphQL or REST—requires credentials)
• discord.py, requests, and csv libraries

⚙️ Core Workflow

• Fetch Events from Apollo
• Authenticate via Apollo’s API
• Query for event ID and response status (e.g. attending, not attending, no response)
• Match Discord Members
• Use discord.py to access server member list
• Correlate members with Apollo responses (may require matching by username or ID)
• Generate CSV Report
• Create one file per event
• Include columns: Member Name, Response Status, Event Name

🐍 Sample Python Skeleton import discord import csv import requests from discord.ext import commands

TOKEN = 'your_discord_bot_token' APOLLO_API_KEY = 'your_apollo_api_key' GUILD_ID = 1234567890

bot = commands.Bot(command_prefix='!')

def fetch_apollo_events(): headers = {'Authorization': f'Bearer {APOLLO_API_KEY}'} response = requests.get('https://api.apollo.io/events', headers=headers) return response.json()['events'] # Adjust based on actual API structure

def fetch_event_responses(event_id): response = requests.get(f'https://api.apollo.io/events/{event_id}/responses', headers={'Authorization': f'Bearer {APOLLO_API_KEY}'}) return response.json()['responses']

@bot.command() async def generate_csv(ctx): guild = bot.get_guild(GUILD_ID) members = {member.name: 'No Response' for member in guild.members if not member.bot}

events = fetch_apollo_events()
for event in events:
    responses = fetch_event_responses(event['id'])

    for r in responses:
        member_name = r['member_name']
        if member_name in members:
            members[member_name] = r['status']

    filename = f"{event['title'].replace(' ', '_')}_responses.csv"
    with open(filename, 'w', newline='') as f:
        writer = csv.writer(f)
        writer.writerow(['Member', 'Response'])
        for name, status in members.items():
            writer.writerow([name, status])

    await ctx.send(f"CSV generated: {filename}")

bot.run(TOKEN)

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🧠 Tips

• Apollo likely uses GraphQL, so the actual queries will differ. You’ll need their schema.

• For richer reporting, add timestamps, response comments, and roles if relevant.

• Consider pagination if your org has a large number of events or members.

• To save the generated CSV file to Google Drive from your Discord bot, you'd need to integrate Google Drive's API and handle authentication via OAuth2. Here's how you can extend the bot to do that:

🔐 Step 1: Enable Google Drive API

• Go to Google Cloud Console
• Create a project and enable the Drive API
• Configure OAuth consent screen
• Generate OAuth2 client ID and secret

📦 Step 2: Install Required Packages pip install google-auth google-auth-oauthlib google-auth-httplib2 google-api-python-client

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🧠 Step 3: Google Drive Upload Function Here’s a simplified version of a function to upload a CSV to your Drive: from googleapiclient.discovery import build from googleapiclient.http import MediaFileUpload from google_auth_oauthlib.flow import InstalledAppFlow from google.auth.transport.requests import Request import os.path import pickle

SCOPES = ['https://www.googleapis.com/auth/drive.file']

def get_drive_service(): creds = None if os.path.exists('token.pickle'): with open('token.pickle', 'rb') as token: creds = pickle.load(token)

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)

    with open('token.pickle', 'wb') as token:
        pickle.dump(creds, token)

return build('drive', 'v3', credentials=creds)

def upload_to_drive(filename): service = get_drive_service() file_metadata = {'name': filename} media = MediaFileUpload(filename, mimetype='text/csv') file = service.files().create(body=file_metadata, media_body=media, fields='id').execute() return file.get('id')

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🎯 Final Integration At the end of your generate_csv command, upload the file like this: file_id = upload_to_drive(filename) await ctx.send(f"Uploaded to Google Drive: https://drive.google.com/file/d/{file_id}/view")

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