Spaces:
Sleeping
Sleeping
File size: 2,635 Bytes
205eb5c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | import os
from dotenv import load_dotenv
from openai import OpenAI
from backend import expense_manager
load_dotenv()
client = OpenAI(
api_key=os.environ.get("GROQ_API_KEY"),
base_url="https://api.groq.com/openai/v1",
)
def suggest_budget(user_id: str, expenses=None):
"""
Analyze user expenses and return a budget suggestion using Groq AI.
Input: user_id and optional expense list
Output: dictionary with numeric split + AI explanation
Example:
{
"Spending": 0.6,
"Savings": 0.3,
"Investments": 0.1,
"message": "You spend most on rent, consider lowering entertainment."
}
"""
if expenses is None:
expenses = expense_manager.list_expenses(user_id)
if not expenses:
return {
"Spending": 0.6,
"Savings": 0.3,
"Investments": 0.1,
"message": "No expense data found — using default 60/30/10 split."
}
summary_lines = []
for e in expenses:
summary_lines.append(f"{e['name']}: {e['amount']} ({e['category']}) on {e['date']}")
summary_text = "\n".join(summary_lines)
prompt = f"""
You are FinSync AI, a financial budgeting assistant.
User's Expense Summary:
{summary_text}
Task:
1. Analyze how the user spends money.
2. Suggest an ideal percentage allocation among:
- Spending (daily essentials, bills, rent)
- Savings (emergency fund)
- Investments (future growth)
3. Return result in strict JSON format like this:
{{
"Spending": 0.55,
"Savings": 0.30,
"Investments": 0.15,
"message": "Short reasoning or advice"
}}
"""
try:
response = client.responses.create(
model=GROQ_MODEL,
input=prompt,
temperature=0.3
)
ai_text = response.output_text.strip()
import json, re
json_match = re.search(r"\{[\s\S]*\}", ai_text)
if json_match:
parsed = json.loads(json_match.group(0))
for k in ["Spending", "Savings", "Investments"]:
if k not in parsed:
parsed[k] = 0.0
return parsed
else:
return {
"Spending": 0.6,
"Savings": 0.3,
"Investments": 0.1,
"message": ai_text or "AI could not parse response properly."
}
except Exception as e:
return {
"Spending": 0.6,
"Savings": 0.3,
"Investments": 0.1,
"message": f"Groq API error: {e}"
} |