Track spending by texting it to WhatsApp

from collections import defaultdict
from datetime import date
from clickruntime import on_event, on_trigger, credentials, http, state, ai, notify

PHONE_NUMBER_ID = "123456789012345"
MY_NUMBER = "447700900123"

def send(text):
    http.post(f"https://graph.facebook.com/v21.0/{PHONE_NUMBER_ID}/messages",
              headers={"Authorization": f"Bearer {credentials.secret('WHATSAPP_TOKEN')}"},
              json={"messaging_product": "whatsapp", "to": MY_NUMBER, "type": "text", "text": {"body": text}})

@on_event
def log_expense(event):
    value = event.json["entry"][0]["changes"][0]["value"]
    if "messages" not in value:
        return {"skipped": True}
    e = ai.generate(value["messages"][0]["text"]["body"], system="Extract the expense.", max_output_tokens=60,
                    json_schema={"type": "object", "properties": {"amount": {"type": "number"}, "category": {"type": "string"}}}).json
    expenses = state.get("expenses") or []
    expenses.append({"day": str(date.today()), **e})
    state.set("expenses", expenses)
    today = sum(x["amount"] for x in expenses if x["day"] == str(date.today()))
    send(f"Logged {e['amount']:.2f} for {e['category']}. Today: {today:.2f}")
    return e

@on_trigger
def monthly(event):
    totals = defaultdict(float)
    for x in state.get("expenses") or []:
        totals[x["category"]] += x["amount"]
    report = "\n".join(f"{c}: {v:.2f}" for c, v in sorted(totals.items(), key=lambda kv: -kv[1])) or "No expenses."
    send(f"Last month\n{report}")
    notify.email_me("Monthly expenses", report)
    state.set("expenses", [])
    return dict(totals)