Charts_2
Browse files- plaid_client.py +95 -0
plaid_client.py
CHANGED
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@@ -211,6 +211,101 @@ def get_chart_data(access_token: str) -> dict:
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end_date = date.today()
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start_date = end_date - timedelta(days=30)
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| 214 |
# Get transactions
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request = TransactionsGetRequest(
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access_token=access_token,
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end_date = date.today()
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start_date = end_date - timedelta(days=30)
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# Get balances (usually ready immediately)
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try:
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balance_req = AccountsBalanceGetRequest(access_token=access_token)
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balance_resp = plaid_client.accounts_balance_get(balance_req)
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accounts = []
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for account in balance_resp['accounts']:
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current = account['balances']['current']
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if current is None:
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continue
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accounts.append({
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"name": account['name'],
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"type": str(account['subtype']),
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"balance": round(current, 2),
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})
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except Exception as e:
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print(f"Balance error in chart_data: {e}", flush=True)
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accounts = []
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# Get transactions (may not be ready yet)
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category_chart = []
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weekly_data = []
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income_total = 0.0
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expense_total = 0.0
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try:
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request = TransactionsGetRequest(
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access_token=access_token,
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start_date=start_date,
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end_date=end_date,
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options=TransactionsGetRequestOptions(
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count=200,
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include_personal_finance_category=True
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)
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)
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response = plaid_client.transactions_get(request)
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transactions = response['transactions']
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category_totals: dict[str, float] = {}
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daily_spending: dict[str, float] = {}
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daily_income: dict[str, float] = {}
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for txn in transactions:
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amount = txn['amount']
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txn_date = str(txn['date'])
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category = txn.get('personal_finance_category', {}).get('primary', 'OTHER')
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if amount < 0:
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income_total += abs(amount)
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daily_income[txn_date] = daily_income.get(txn_date, 0) + abs(amount)
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continue
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if category in ['TRANSFER_IN', 'TRANSFER_OUT']:
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continue
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name_lower = txn['name'].lower()
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if category == 'LOAN_PAYMENTS' and any(w in name_lower for w in ['payroll', 'salary', 'direct dep', 'employer', 'wages']):
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income_total += amount
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daily_income[txn_date] = daily_income.get(txn_date, 0) + amount
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continue
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expense_total += amount
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readable = category.replace("_", " ").title()
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category_totals[readable] = category_totals.get(readable, 0) + amount
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daily_spending[txn_date] = daily_spending.get(txn_date, 0) + amount
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category_chart = [
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{"name": cat, "value": round(total, 2)}
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for cat, total in sorted(category_totals.items(), key=lambda x: -x[1])
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]
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for i in range(4):
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week_end = end_date - timedelta(weeks=i)
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week_start_d = week_end - timedelta(days=6)
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week_label = f"{week_start_d.strftime('%b %d')} - {week_end.strftime('%b %d')}"
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week_spending = sum(v for k, v in daily_spending.items() if str(week_start_d) <= k <= str(week_end))
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week_income = sum(v for k, v in daily_income.items() if str(week_start_d) <= k <= str(week_end))
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weekly_data.append({"week": week_label, "spending": round(week_spending, 2), "income": round(week_income, 2)})
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weekly_data.reverse()
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except Exception as e:
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print(f"Transaction error in chart_data: {e}", flush=True)
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return {
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"category_chart": category_chart,
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"weekly_chart": weekly_data,
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"income_vs_expenses": {
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"income": round(income_total, 2),
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"expenses": round(expense_total, 2),
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},
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"accounts": accounts,
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}
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"""Returns structured JSON for frontend charts."""
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end_date = date.today()
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start_date = end_date - timedelta(days=30)
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# Get transactions
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request = TransactionsGetRequest(
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access_token=access_token,
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