feat(analytics): Fix transaction limits and improve chart legends

Co-authored-by: elisiariocouto <818914+elisiariocouto@users.noreply.github.com>

frontend/src/components/analytics/BalanceChart.tsx

@@ -8,10 +8,11 @@ import {
   ResponsiveContainer,
   Legend,
 } from "recharts";
-import type { Balance } from "../../types/api";
+import type { Balance, Account } from "../../types/api";
 
 interface BalanceChartProps {
   data: Balance[];
+  accounts: Account[];
   className?: string;
 }
 
@@ -26,7 +27,34 @@ interface AggregatedDataPoint {
   [key: string]: string | number;
 }
 
-export default function BalanceChart({ data, className }: BalanceChartProps) {
+export default function BalanceChart({ data, accounts, className }: BalanceChartProps) {
+  // Create a lookup map for account info
+  const accountMap = accounts.reduce((map, account) => {
+    map[account.id] = account;
+    return map;
+  }, {} as Record<string, Account>);
+
+  // Helper function to get bank name from institution_id
+  const getBankName = (institutionId: string): string => {
+    const bankMapping: Record<string, string> = {
+      'REVOLUT_REVOLT21': 'Revolut',
+      'NUBANK_NUPBBR25': 'Nu Pagamentos',
+      'BANCOBPI_BBPIPTPL': 'Banco BPI',
+      // Add more mappings as needed
+    };
+    return bankMapping[institutionId] || institutionId.split('_')[0];
+  };
+
+  // Helper function to create display name for account
+  const getAccountDisplayName = (accountId: string): string => {
+    const account = accountMap[accountId];
+    if (account) {
+      const bankName = getBankName(account.institution_id);
+      const accountName = account.name || `Account ${accountId.split('-')[1]}`;
+      return `${bankName} - ${accountName}`;
+    }
+    return `Account ${accountId.split('-')[1]}`;
+  };
   // Process balance data for the chart
   const chartData = data
     .filter((balance) => balance.balance_type === "closingBooked")
@@ -116,7 +144,7 @@ export default function BalanceChart({ data, className }: BalanceChartProps) {
                 stroke={colors[index % colors.length]}
                 strokeWidth={2}
                 dot={{ r: 4 }}
-                name={`Account ${accountId.split('-')[1]}`}
+                name={getAccountDisplayName(accountId)}
               />
             ))}
           </LineChart>

frontend/src/components/analytics/MonthlyTrends.tsx

@@ -32,18 +32,12 @@ interface TooltipProps {
 }
 
 export default function MonthlyTrends({ className }: MonthlyTrendsProps) {
-  // Get transactions for the last 12 months
+  // Get transactions for the last 12 months using analytics endpoint
   const { data: transactions, isLoading } = useQuery({
     queryKey: ["transactions", "monthly-trends"],
     queryFn: async () => {
-      const response = await apiClient.getTransactions({
+      // Get last 365 days of transactions for monthly trends
-        startDate: new Date(
+      return await apiClient.getTransactionsForAnalytics(365);
-          Date.now() - 365 * 24 * 60 * 60 * 1000
-        ).toISOString().split("T")[0],
-        endDate: new Date().toISOString().split("T")[0],
-        perPage: 1000,
-      });
-      return response.data;
     },
   });
 
@@ -54,7 +48,7 @@ export default function MonthlyTrends({ className }: MonthlyTrendsProps) {
     const monthlyMap: { [key: string]: MonthlyData } = {};
     
     transactions.forEach((transaction) => {
-      const date = new Date(transaction.transaction_date);
+      const date = new Date(transaction.date);
       const monthKey = `${date.getFullYear()}-${String(date.getMonth() + 1).padStart(2, '0')}`;
       
       if (!monthlyMap[monthKey]) {
@@ -69,10 +63,10 @@ export default function MonthlyTrends({ className }: MonthlyTrendsProps) {
         };
       }
       
-      if (transaction.transaction_value > 0) {
+      if (transaction.amount > 0) {
-        monthlyMap[monthKey].income += transaction.transaction_value;
+        monthlyMap[monthKey].income += transaction.amount;
       } else {
-        monthlyMap[monthKey].expenses += Math.abs(transaction.transaction_value);
+        monthlyMap[monthKey].expenses += Math.abs(transaction.amount);
       }
       
       monthlyMap[monthKey].net = monthlyMap[monthKey].income - monthlyMap[monthKey].expenses;

frontend/src/components/analytics/TransactionDistribution.tsx

@@ -30,6 +30,24 @@ export default function TransactionDistribution({
   accounts,
   className,
 }: TransactionDistributionProps) {
+  // Helper function to get bank name from institution_id
+  const getBankName = (institutionId: string): string => {
+    const bankMapping: Record<string, string> = {
+      'REVOLUT_REVOLT21': 'Revolut',
+      'NUBANK_NUPBBR25': 'Nu Pagamentos',
+      'BANCOBPI_BBPIPTPL': 'Banco BPI',
+      // Add more mappings as needed
+    };
+    return bankMapping[institutionId] || institutionId.split('_')[0];
+  };
+
+  // Helper function to create display name for account
+  const getAccountDisplayName = (account: Account): string => {
+    const bankName = getBankName(account.institution_id);
+    const accountName = account.name || `Account ${account.id.split('-')[1]}`;
+    return `${bankName} - ${accountName}`;
+  };
+
   // Create pie chart data from account balances
   const pieData: PieDataPoint[] = accounts.map((account, index) => {
     const closingBalance = account.balances.find(
@@ -39,7 +57,7 @@ export default function TransactionDistribution({
     const colors = ["#3B82F6", "#10B981", "#F59E0B", "#EF4444", "#8B5CF6"];
     
     return {
-      name: account.name || `Account ${account.id.split('-')[1]}`,
+      name: getAccountDisplayName(account),
       value: closingBalance?.amount || 0,
       color: colors[index % colors.length],
     };

frontend/src/lib/api.ts

@@ -154,6 +154,17 @@ export const apiClient = {
     );
     return response.data.data;
   },
+
+  // Get all transactions for analytics (no pagination)
+  getTransactionsForAnalytics: async (days?: number): Promise<Transaction[]> => {
+    const queryParams = new URLSearchParams();
+    if (days) queryParams.append("days", days.toString());
+    
+    const response = await api.get<ApiResponse<Transaction[]>>(
+      `/transactions/analytics?${queryParams.toString()}`
+    );
+    return response.data.data;
+  },
 };
 
 export default apiClient;

frontend/src/routes/analytics.tsx

@@ -126,7 +126,7 @@ function AnalyticsDashboard() {
       {/* Charts */}
       <div className="grid grid-cols-1 lg:grid-cols-2 gap-8">
         <div className="bg-white rounded-lg shadow p-6 border border-gray-200">
-          <BalanceChart data={balances || []} />
+          <BalanceChart data={balances || []} accounts={accounts || []} />
         </div>
         <div className="bg-white rounded-lg shadow p-6 border border-gray-200">
           <TransactionDistribution accounts={accounts || []} />

leggen/commands/generate_sample_db.py

@@ -30,7 +30,9 @@ from leggen.utils.paths import path_manager
     help="Overwrite existing database without confirmation",
 )
 @click.pass_context
-def generate_sample_db(ctx: click.Context, database: Path, accounts: int, transactions: int, force: bool):
+def generate_sample_db(
+    ctx: click.Context, database: Path, accounts: int, transactions: int, force: bool
+):
     """Generate a sample database with realistic financial data for testing."""
 
     # Import here to avoid circular imports
@@ -39,7 +41,9 @@ def generate_sample_db(ctx: click.Context, database: Path, accounts: int, transa
     from pathlib import Path as PathlibPath
 
     # Get the script path
-    script_path = PathlibPath(__file__).parent.parent.parent / "scripts" / "generate_sample_db.py"
+    script_path = (
+        PathlibPath(__file__).parent.parent.parent / "scripts" / "generate_sample_db.py"
+    )
 
     # Build command arguments
     cmd = [sys.executable, str(script_path)]

leggend/api/routes/transactions.py

@@ -121,6 +121,219 @@ async def get_all_transactions(
         ) from e
 
 
+@router.get("/transactions/enhanced-stats", response_model=APIResponse)
+async def get_enhanced_transaction_stats(
+    days: int = Query(default=365, description="Number of days to include in stats"),
+    account_id: Optional[str] = Query(default=None, description="Filter by account ID"),
+) -> APIResponse:
+    """Get enhanced transaction statistics with monthly breakdown and account details"""
+    try:
+        # Date range for stats
+        end_date = datetime.now()
+        start_date = end_date - timedelta(days=days)
+
+        # Format dates for database query
+        date_from = start_date.isoformat()
+        date_to = end_date.isoformat()
+
+        # Get all transactions from database for comprehensive stats
+        recent_transactions = await database_service.get_transactions_from_db(
+            account_id=account_id,
+            date_from=date_from,
+            date_to=date_to,
+            limit=None,  # Get all matching transactions
+        )
+
+        # Basic stats
+        total_transactions = len(recent_transactions)
+        total_income = sum(
+            txn["transactionValue"]
+            for txn in recent_transactions
+            if txn["transactionValue"] > 0
+        )
+        total_expenses = sum(
+            abs(txn["transactionValue"])
+            for txn in recent_transactions
+            if txn["transactionValue"] < 0
+        )
+        net_change = total_income - total_expenses
+
+        # Count by status
+        booked_count = len(
+            [txn for txn in recent_transactions if txn["transactionStatus"] == "booked"]
+        )
+        pending_count = len(
+            [
+                txn
+                for txn in recent_transactions
+                if txn["transactionStatus"] == "pending"
+            ]
+        )
+
+        # Count unique accounts
+        unique_accounts = len({txn["accountId"] for txn in recent_transactions})
+
+        # Monthly breakdown
+        monthly_stats = {}
+        for txn in recent_transactions:
+            try:
+                txn_date = datetime.fromisoformat(
+                    txn["transactionDate"].replace("Z", "+00:00")
+                )
+                month_key = txn_date.strftime("%Y-%m")
+
+                if month_key not in monthly_stats:
+                    monthly_stats[month_key] = {
+                        "month": txn_date.strftime("%Y %b"),
+                        "income": 0,
+                        "expenses": 0,
+                        "net": 0,
+                        "transaction_count": 0,
+                    }
+
+                monthly_stats[month_key]["transaction_count"] += 1
+                if txn["transactionValue"] > 0:
+                    monthly_stats[month_key]["income"] += txn["transactionValue"]
+                else:
+                    monthly_stats[month_key]["expenses"] += abs(txn["transactionValue"])
+
+                monthly_stats[month_key]["net"] = (
+                    monthly_stats[month_key]["income"]
+                    - monthly_stats[month_key]["expenses"]
+                )
+            except (ValueError, TypeError):
+                # Skip transactions with invalid dates
+                continue
+
+        # Account breakdown
+        account_stats = {}
+        for txn in recent_transactions:
+            acc_id = txn["accountId"]
+            if acc_id not in account_stats:
+                account_stats[acc_id] = {
+                    "account_id": acc_id,
+                    "transaction_count": 0,
+                    "income": 0,
+                    "expenses": 0,
+                    "net": 0,
+                }
+
+            account_stats[acc_id]["transaction_count"] += 1
+            if txn["transactionValue"] > 0:
+                account_stats[acc_id]["income"] += txn["transactionValue"]
+            else:
+                account_stats[acc_id]["expenses"] += abs(txn["transactionValue"])
+
+            account_stats[acc_id]["net"] = (
+                account_stats[acc_id]["income"] - account_stats[acc_id]["expenses"]
+            )
+
+        enhanced_stats = {
+            "period_days": days,
+            "date_range": {
+                "start": start_date.isoformat(),
+                "end": end_date.isoformat(),
+            },
+            "summary": {
+                "total_transactions": total_transactions,
+                "booked_transactions": booked_count,
+                "pending_transactions": pending_count,
+                "total_income": round(total_income, 2),
+                "total_expenses": round(total_expenses, 2),
+                "net_change": round(net_change, 2),
+                "average_transaction": round(
+                    sum(txn["transactionValue"] for txn in recent_transactions)
+                    / total_transactions,
+                    2,
+                )
+                if total_transactions > 0
+                else 0,
+                "accounts_included": unique_accounts,
+            },
+            "monthly_breakdown": [
+                {
+                    **stats,
+                    "income": round(stats["income"], 2),
+                    "expenses": round(stats["expenses"], 2),
+                    "net": round(stats["net"], 2),
+                }
+                for month, stats in sorted(monthly_stats.items())
+            ],
+            "account_breakdown": [
+                {
+                    **stats,
+                    "income": round(stats["income"], 2),
+                    "expenses": round(stats["expenses"], 2),
+                    "net": round(stats["net"], 2),
+                }
+                for stats in account_stats.values()
+            ],
+        }
+
+        return APIResponse(
+            success=True,
+            data=enhanced_stats,
+            message=f"Enhanced transaction statistics for last {days} days",
+        )
+
+    except Exception as e:
+        logger.error(f"Failed to get enhanced transaction stats: {e}")
+        raise HTTPException(
+            status_code=500,
+            detail=f"Failed to get enhanced transaction stats: {str(e)}",
+        ) from e
+
+
+@router.get("/transactions/analytics", response_model=APIResponse)
+async def get_transactions_for_analytics(
+    days: int = Query(default=365, description="Number of days to include"),
+    account_id: Optional[str] = Query(default=None, description="Filter by account ID"),
+) -> APIResponse:
+    """Get all transactions for analytics (no pagination) for the last N days"""
+    try:
+        # Date range for analytics
+        end_date = datetime.now()
+        start_date = end_date - timedelta(days=days)
+
+        # Format dates for database query
+        date_from = start_date.isoformat()
+        date_to = end_date.isoformat()
+
+        # Get ALL transactions from database (no limit for analytics)
+        transactions = await database_service.get_transactions_from_db(
+            account_id=account_id,
+            date_from=date_from,
+            date_to=date_to,
+            limit=None,  # No limit - get all transactions
+        )
+
+        # Transform for frontend (summary format)
+        transaction_summaries = [
+            {
+                "transaction_id": txn["transactionId"],
+                "date": txn["transactionDate"],
+                "description": txn["description"],
+                "amount": txn["transactionValue"],
+                "currency": txn["transactionCurrency"],
+                "status": txn["transactionStatus"],
+                "account_id": txn["accountId"],
+            }
+            for txn in transactions
+        ]
+
+        return APIResponse(
+            success=True,
+            data=transaction_summaries,
+            message=f"Retrieved {len(transaction_summaries)} transactions for analytics",
+        )
+
+    except Exception as e:
+        logger.error(f"Failed to get transactions for analytics: {e}")
+        raise HTTPException(
+            status_code=500, detail=f"Failed to get analytics transactions: {str(e)}"
+        ) from e
+
+
 @router.get("/transactions/stats", response_model=APIResponse)
 async def get_transaction_stats(
     days: int = Query(default=30, description="Number of days to include in stats"),

leggend/config.py

@@ -23,9 +23,7 @@ class Config:
             return self._config
 
         if config_path is None:
-            config_path = os.environ.get(
+            config_path = os.environ.get("LEGGEN_CONFIG_FILE")
-                "LEGGEN_CONFIG_FILE"
-            )
             if not config_path:
                 config_path = str(path_manager.get_config_file_path())
 
@@ -54,9 +52,7 @@ class Config:
             config_data = self._config
 
         if config_path is None:
-            config_path = self._config_path or os.environ.get(
+            config_path = self._config_path or os.environ.get("LEGGEN_CONFIG_FILE")
-                "LEGGEN_CONFIG_FILE"
-            )
             if not config_path:
                 config_path = str(path_manager.get_config_file_path())
 

leggend/services/database_service.py

@@ -118,7 +118,7 @@ class DatabaseService:
     async def get_transactions_from_db(
         self,
         account_id: Optional[str] = None,
-        limit: Optional[int] = 100,
+        limit: Optional[int] = None,  # None means no limit, used for stats
         offset: Optional[int] = 0,
         date_from: Optional[str] = None,
         date_to: Optional[str] = None,
@@ -134,7 +134,7 @@ class DatabaseService:
         try:
             transactions = sqlite_db.get_transactions(
                 account_id=account_id,
-                limit=limit or 100,
+                limit=limit,  # Pass limit as-is, None means no limit
                 offset=offset or 0,
                 date_from=date_from,
                 date_to=date_to,

scripts/generate_sample_db.py

@@ -52,14 +52,38 @@ class SampleDataGenerator:
         ]
 
         self.transaction_types = [
-            {"description": "Grocery Store", "amount_range": (-150, -20), "frequency": 0.3},
+            {
+                "description": "Grocery Store",
+                "amount_range": (-150, -20),
+                "frequency": 0.3,
+            },
             {"description": "Coffee Shop", "amount_range": (-15, -3), "frequency": 0.2},
-            {"description": "Gas Station", "amount_range": (-80, -30), "frequency": 0.1},
+            {
-            {"description": "Online Shopping", "amount_range": (-200, -25), "frequency": 0.15},
+                "description": "Gas Station",
-            {"description": "Restaurant", "amount_range": (-60, -15), "frequency": 0.15},
+                "amount_range": (-80, -30),
+                "frequency": 0.1,
+            },
+            {
+                "description": "Online Shopping",
+                "amount_range": (-200, -25),
+                "frequency": 0.15,
+            },
+            {
+                "description": "Restaurant",
+                "amount_range": (-60, -15),
+                "frequency": 0.15,
+            },
             {"description": "Salary", "amount_range": (2500, 5000), "frequency": 0.02},
-            {"description": "ATM Withdrawal", "amount_range": (-200, -20), "frequency": 0.05},
+            {
-            {"description": "Transfer to Savings", "amount_range": (-1000, -100), "frequency": 0.03},
+                "description": "ATM Withdrawal",
+                "amount_range": (-200, -20),
+                "frequency": 0.05,
+            },
+            {
+                "description": "Transfer to Savings",
+                "amount_range": (-1000, -100),
+                "frequency": 0.03,
+            },
         ]
 
     def ensure_database_dir(self):
@@ -120,15 +144,33 @@ class SampleDataGenerator:
         """)
 
         # Create indexes
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_transactions_internal_id ON transactions(internalTransactionId)")
+        cursor.execute(
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_transactions_date ON transactions(transactionDate)")
+            "CREATE INDEX IF NOT EXISTS idx_transactions_internal_id ON transactions(internalTransactionId)"
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_transactions_account_date ON transactions(accountId, transactionDate)")
+        )
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_transactions_amount ON transactions(transactionValue)")
+        cursor.execute(
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_balances_account_id ON balances(account_id)")
+            "CREATE INDEX IF NOT EXISTS idx_transactions_date ON transactions(transactionDate)"
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_balances_timestamp ON balances(timestamp)")
+        )
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_balances_account_type_timestamp ON balances(account_id, type, timestamp)")
+        cursor.execute(
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_accounts_institution_id ON accounts(institution_id)")
+            "CREATE INDEX IF NOT EXISTS idx_transactions_account_date ON transactions(accountId, transactionDate)"
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_accounts_status ON accounts(status)")
+        )
+        cursor.execute(
+            "CREATE INDEX IF NOT EXISTS idx_transactions_amount ON transactions(transactionValue)"
+        )
+        cursor.execute(
+            "CREATE INDEX IF NOT EXISTS idx_balances_account_id ON balances(account_id)"
+        )
+        cursor.execute(
+            "CREATE INDEX IF NOT EXISTS idx_balances_timestamp ON balances(timestamp)"
+        )
+        cursor.execute(
+            "CREATE INDEX IF NOT EXISTS idx_balances_account_type_timestamp ON balances(account_id, type, timestamp)"
+        )
+        cursor.execute(
+            "CREATE INDEX IF NOT EXISTS idx_accounts_institution_id ON accounts(institution_id)"
+        )
+        cursor.execute(
+            "CREATE INDEX IF NOT EXISTS idx_accounts_status ON accounts(status)"
+        )
 
         conn.commit()
         conn.close()
@@ -141,7 +183,10 @@ class SampleDataGenerator:
             "GB": lambda: f"GB{random.randint(10, 99)}MONZ{random.randint(100000, 999999)}{random.randint(100000, 999999)}",
             "BR": lambda: f"BR{random.randint(10, 99)}{random.randint(10000000, 99999999)}{random.randint(1000, 9999)}{random.randint(10000000, 99999999)}",
         }
-        return ibans.get(country_code, lambda: f"{country_code}{random.randint(1000000000000000, 9999999999999999)}")()
+        return ibans.get(
+            country_code,
+            lambda: f"{country_code}{random.randint(1000000000000000, 9999999999999999)}",
+        )()
 
     def generate_accounts(self, num_accounts: int = 3) -> List[Dict[str, Any]]:
         """Generate sample accounts."""
@@ -150,24 +195,30 @@ class SampleDataGenerator:
 
         for i in range(num_accounts):
             institution = random.choice(self.institutions)
-            account_id = f"account-{i+1:03d}-{random.randint(1000, 9999)}"
+            account_id = f"account-{i + 1:03d}-{random.randint(1000, 9999)}"
 
             account = {
                 "id": account_id,
                 "institution_id": institution["id"],
                 "status": "READY",
                 "iban": self.generate_iban(institution["country"]),
-                "name": f"Personal Account {i+1}",
+                "name": f"Personal Account {i + 1}",
                 "currency": "EUR",
-                "created": (base_date + timedelta(days=random.randint(0, 30))).isoformat(),
+                "created": (
-                "last_accessed": (datetime.now() - timedelta(hours=random.randint(1, 48))).isoformat(),
+                    base_date + timedelta(days=random.randint(0, 30))
+                ).isoformat(),
+                "last_accessed": (
+                    datetime.now() - timedelta(hours=random.randint(1, 48))
+                ).isoformat(),
                 "last_updated": datetime.now().isoformat(),
             }
             accounts.append(account)
 
         return accounts
 
-    def generate_transactions(self, accounts: List[Dict[str, Any]], num_transactions_per_account: int = 50) -> List[Dict[str, Any]]:
+    def generate_transactions(
+        self, accounts: List[Dict[str, Any]], num_transactions_per_account: int = 50
+    ) -> List[Dict[str, Any]]:
         """Generate sample transactions for accounts."""
         transactions = []
         base_date = datetime.now() - timedelta(days=60)
@@ -180,7 +231,7 @@ class SampleDataGenerator:
                 # Choose transaction type based on frequency weights
                 transaction_type = random.choices(
                     self.transaction_types,
-                    weights=[t["frequency"] for t in self.transaction_types]
+                    weights=[t["frequency"] for t in self.transaction_types],
                 )[0]
 
                 # Generate transaction amount
@@ -189,28 +240,50 @@ class SampleDataGenerator:
 
                 # Generate transaction date (more recent transactions are more likely)
                 days_ago = random.choices(
-                    range(60),
+                    range(60), weights=[1.5 ** (60 - d) for d in range(60)]
-                    weights=[1.5 ** (60 - d) for d in range(60)]
                 )[0]
-                transaction_date = base_date + timedelta(days=days_ago, hours=random.randint(6, 22), minutes=random.randint(0, 59))
+                transaction_date = base_date + timedelta(
+                    days=days_ago,
+                    hours=random.randint(6, 22),
+                    minutes=random.randint(0, 59),
+                )
 
                 # Generate transaction IDs
-                transaction_id = f"bank-txn-{account['id']}-{i+1:04d}"
+                transaction_id = f"bank-txn-{account['id']}-{i + 1:04d}"
                 internal_transaction_id = f"int-txn-{random.randint(100000, 999999)}"
 
                 # Create realistic descriptions
                 descriptions = {
-                    "Grocery Store": ["TESCO", "SAINSBURY'S", "LIDL", "ALDI", "WALMART", "CARREFOUR"],
+                    "Grocery Store": [
-                    "Coffee Shop": ["STARBUCKS", "COSTA COFFEE", "PRET A MANGER", "LOCAL CAFE"],
+                        "TESCO",
+                        "SAINSBURY'S",
+                        "LIDL",
+                        "ALDI",
+                        "WALMART",
+                        "CARREFOUR",
+                    ],
+                    "Coffee Shop": [
+                        "STARBUCKS",
+                        "COSTA COFFEE",
+                        "PRET A MANGER",
+                        "LOCAL CAFE",
+                    ],
                     "Gas Station": ["BP", "SHELL", "ESSO", "GALP", "PETROBRAS"],
                     "Online Shopping": ["AMAZON", "EBAY", "ZALANDO", "ASOS", "APPLE"],
-                    "Restaurant": ["PIZZA HUT", "MCDONALD'S", "BURGER KING", "LOCAL RESTAURANT"],
+                    "Restaurant": [
+                        "PIZZA HUT",
+                        "MCDONALD'S",
+                        "BURGER KING",
+                        "LOCAL RESTAURANT",
+                    ],
                     "Salary": ["MONTHLY SALARY", "PAYROLL DEPOSIT", "SALARY PAYMENT"],
                     "ATM Withdrawal": ["ATM WITHDRAWAL", "CASH WITHDRAWAL"],
                     "Transfer to Savings": ["SAVINGS TRANSFER", "INVESTMENT TRANSFER"],
                 }
 
-                specific_descriptions = descriptions.get(transaction_type["description"], [transaction_type["description"]])
+                specific_descriptions = descriptions.get(
+                    transaction_type["description"], [transaction_type["description"]]
+                )
                 description = random.choice(specific_descriptions)
 
                 # Create raw transaction (simplified GoCardless format)
@@ -220,14 +293,16 @@ class SampleDataGenerator:
                     "valueDate": transaction_date.strftime("%Y-%m-%d"),
                     "transactionAmount": {
                         "amount": str(amount),
-                        "currency": account["currency"]
+                        "currency": account["currency"],
                     },
                     "remittanceInformationUnstructured": description,
                     "bankTransactionCode": "PMNT" if amount < 0 else "RCDT",
                 }
 
                 # Determine status (most are booked, some recent ones might be pending)
-                status = "pending" if days_ago < 2 and random.random() < 0.1 else "booked"
+                status = (
+                    "pending" if days_ago < 2 and random.random() < 0.1 else "booked"
+                )
 
                 transaction = {
                     "accountId": account["id"],
@@ -264,7 +339,9 @@ class SampleDataGenerator:
 
             for balance_type in balance_types:
                 # Add some variation to balance types
-                variation = random.uniform(-50, 50) if balance_type != "interimAvailable" else 0
+                variation = (
+                    random.uniform(-50, 50) if balance_type != "interimAvailable" else 0
+                )
                 balance_amount = base_balance + variation
 
                 balance = {
@@ -281,54 +358,88 @@ class SampleDataGenerator:
 
         return balances
 
-    def insert_data(self, accounts: List[Dict[str, Any]], transactions: List[Dict[str, Any]], balances: List[Dict[str, Any]]):
+    def insert_data(
+        self,
+        accounts: List[Dict[str, Any]],
+        transactions: List[Dict[str, Any]],
+        balances: List[Dict[str, Any]],
+    ):
         """Insert generated data into the database."""
         conn = sqlite3.connect(str(self.db_path))
         cursor = conn.cursor()
 
         # Insert accounts
         for account in accounts:
-            cursor.execute("""
+            cursor.execute(
+                """
                 INSERT OR REPLACE INTO accounts 
                 (id, institution_id, status, iban, name, currency, created, last_accessed, last_updated)
                 VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
-            """, (
+            """,
-                account["id"], account["institution_id"], account["status"], account["iban"],
+                (
-                account["name"], account["currency"], account["created"], 
+                    account["id"],
-                account["last_accessed"], account["last_updated"]
+                    account["institution_id"],
-            ))
+                    account["status"],
+                    account["iban"],
+                    account["name"],
+                    account["currency"],
+                    account["created"],
+                    account["last_accessed"],
+                    account["last_updated"],
+                ),
+            )
 
         # Insert transactions
         for transaction in transactions:
-            cursor.execute("""
+            cursor.execute(
+                """
                 INSERT OR REPLACE INTO transactions 
                 (accountId, transactionId, internalTransactionId, institutionId, iban, 
                  transactionDate, description, transactionValue, transactionCurrency, 
                  transactionStatus, rawTransaction)
                 VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
-            """, (
+            """,
-                transaction["accountId"], transaction["transactionId"], 
+                (
-                transaction["internalTransactionId"], transaction["institutionId"],
+                    transaction["accountId"],
-                transaction["iban"], transaction["transactionDate"], transaction["description"],
+                    transaction["transactionId"],
-                transaction["transactionValue"], transaction["transactionCurrency"],
+                    transaction["internalTransactionId"],
-                transaction["transactionStatus"], json.dumps(transaction["rawTransaction"])
+                    transaction["institutionId"],
-            ))
+                    transaction["iban"],
+                    transaction["transactionDate"],
+                    transaction["description"],
+                    transaction["transactionValue"],
+                    transaction["transactionCurrency"],
+                    transaction["transactionStatus"],
+                    json.dumps(transaction["rawTransaction"]),
+                ),
+            )
 
         # Insert balances
         for balance in balances:
-            cursor.execute("""
+            cursor.execute(
+                """
                 INSERT INTO balances 
                 (account_id, bank, status, iban, amount, currency, type, timestamp)
                 VALUES (?, ?, ?, ?, ?, ?, ?, ?)
-            """, (
+            """,
-                balance["account_id"], balance["bank"], balance["status"], balance["iban"],
+                (
-                balance["amount"], balance["currency"], balance["type"], balance["timestamp"]
+                    balance["account_id"],
-            ))
+                    balance["bank"],
+                    balance["status"],
+                    balance["iban"],
+                    balance["amount"],
+                    balance["currency"],
+                    balance["type"],
+                    balance["timestamp"],
+                ),
+            )
 
         conn.commit()
         conn.close()
 
-    def generate_sample_database(self, num_accounts: int = 3, num_transactions_per_account: int = 50):
+    def generate_sample_database(
+        self, num_accounts: int = 3, num_transactions_per_account: int = 50
+    ):
         """Generate complete sample database."""
         click.echo(f"🗄️  Creating sample database at: {self.db_path}")
 
@@ -338,8 +449,12 @@ class SampleDataGenerator:
         click.echo(f"👥 Generating {num_accounts} sample accounts...")
         accounts = self.generate_accounts(num_accounts)
 
-        click.echo(f"💳 Generating {num_transactions_per_account} transactions per account...")
+        click.echo(
-        transactions = self.generate_transactions(accounts, num_transactions_per_account)
+            f"💳 Generating {num_transactions_per_account} transactions per account..."
+        )
+        transactions = self.generate_transactions(
+            accounts, num_transactions_per_account
+        )
 
         click.echo("💰 Generating account balances...")
         balances = self.generate_balances(accounts)
@@ -358,7 +473,11 @@ class SampleDataGenerator:
         # Show account details
         click.echo(f"\n📋 Sample accounts:")
         for account in accounts:
-            institution_name = next(inst["name"] for inst in self.institutions if inst["id"] == account["institution_id"])
+            institution_name = next(
+                inst["name"]
+                for inst in self.institutions
+                if inst["id"] == account["institution_id"]
+            )
             click.echo(f"   - {account['id']} ({institution_name}) - {account['iban']}")
 
 
@@ -394,6 +513,7 @@ def main(database: Path, accounts: int, transactions: int, force: bool):
     else:
         # Use development database by default to avoid overwriting production data
         import os
+
         env_path = os.environ.get("LEGGEN_DATABASE_PATH")
         if env_path:
             db_path = Path(env_path)

tests/unit/test_analytics_fix.py

@@ -0,0 +1,118 @@
+"""Tests for analytics fixes to ensure all transactions are used in statistics."""
+
+import pytest
+from datetime import datetime, timedelta
+from unittest.mock import Mock, AsyncMock
+from fastapi.testclient import TestClient
+
+from leggend.main import create_app
+from leggend.services.database_service import DatabaseService
+
+
+class TestAnalyticsFix:
+    """Test analytics fixes for transaction limits"""
+
+    @pytest.fixture
+    def client(self):
+        app = create_app()
+        return TestClient(app)
+
+    @pytest.fixture
+    def mock_database_service(self):
+        return Mock(spec=DatabaseService)
+
+    @pytest.mark.asyncio
+    async def test_transaction_stats_uses_all_transactions(self, client, mock_database_service):
+        """Test that transaction stats endpoint uses all transactions (not limited to 100)"""
+        # Mock data for 600 transactions (simulating the issue)
+        mock_transactions = []
+        for i in range(600):
+            mock_transactions.append({
+                "transactionId": f"txn-{i}",
+                "transactionDate": (datetime.now() - timedelta(days=i % 365)).isoformat(),
+                "description": f"Transaction {i}",
+                "transactionValue": 10.0 if i % 2 == 0 else -5.0,
+                "transactionCurrency": "EUR",
+                "transactionStatus": "booked",
+                "accountId": f"account-{i % 3}",
+            })
+
+        mock_database_service.get_transactions_from_db = AsyncMock(return_value=mock_transactions)
+
+        # Test that the endpoint calls get_transactions_from_db with limit=None
+        with client as test_client:
+            # Replace the database service in the route handler
+            from leggend.api.routes import transactions
+            original_service = transactions.database_service
+            transactions.database_service = mock_database_service
+
+            try:
+                response = test_client.get("/api/v1/transactions/stats?days=365")
+                
+                assert response.status_code == 200
+                data = response.json()
+                
+                # Verify that limit=None was passed to get all transactions
+                mock_database_service.get_transactions_from_db.assert_called_once()
+                call_args = mock_database_service.get_transactions_from_db.call_args
+                assert call_args.kwargs.get("limit") is None, "Stats endpoint should pass limit=None to get all transactions"
+                
+                # Verify that the response contains stats for all 600 transactions
+                assert data["success"] is True
+                stats = data["data"]
+                assert stats["total_transactions"] == 600, "Should process all 600 transactions, not just 100"
+                
+                # Verify calculations are correct for all transactions
+                expected_income = sum(txn["transactionValue"] for txn in mock_transactions if txn["transactionValue"] > 0)
+                expected_expenses = sum(abs(txn["transactionValue"]) for txn in mock_transactions if txn["transactionValue"] < 0)
+                
+                assert stats["total_income"] == expected_income
+                assert stats["total_expenses"] == expected_expenses
+                
+            finally:
+                # Restore original service
+                transactions.database_service = original_service
+
+    @pytest.mark.asyncio  
+    async def test_analytics_endpoint_returns_all_transactions(self, client, mock_database_service):
+        """Test that the new analytics endpoint returns all transactions without pagination"""
+        # Mock data for 600 transactions
+        mock_transactions = []
+        for i in range(600):
+            mock_transactions.append({
+                "transactionId": f"txn-{i}",
+                "transactionDate": (datetime.now() - timedelta(days=i % 365)).isoformat(),
+                "description": f"Transaction {i}",
+                "transactionValue": 10.0 if i % 2 == 0 else -5.0,
+                "transactionCurrency": "EUR",
+                "transactionStatus": "booked",
+                "accountId": f"account-{i % 3}",
+            })
+
+        mock_database_service.get_transactions_from_db = AsyncMock(return_value=mock_transactions)
+
+        with client as test_client:
+            # Replace the database service in the route handler
+            from leggend.api.routes import transactions
+            original_service = transactions.database_service
+            transactions.database_service = mock_database_service
+
+            try:
+                response = test_client.get("/api/v1/transactions/analytics?days=365")
+                
+                assert response.status_code == 200
+                data = response.json()
+                
+                # Verify that limit=None was passed to get all transactions
+                mock_database_service.get_transactions_from_db.assert_called_once()
+                call_args = mock_database_service.get_transactions_from_db.call_args
+                assert call_args.kwargs.get("limit") is None, "Analytics endpoint should pass limit=None"
+                
+                # Verify that all 600 transactions are returned
+                assert data["success"] is True
+                transactions_data = data["data"]
+                assert len(transactions_data) == 600, "Analytics endpoint should return all 600 transactions"
+                
+            finally:
+                # Restore original service
+                transactions.database_service = original_service

tests/unit/test_configurable_paths.py

@@ -12,6 +12,7 @@ from leggen.database.sqlite import persist_balances, get_balances
 
 class MockContext:
     """Mock context for testing."""
+
     pass
 
 
@@ -45,10 +46,13 @@ class TestConfigurablePaths:
             test_config_dir = Path(tmpdir) / "test-config"
             test_db_path = Path(tmpdir) / "test.db"
 
-            with patch.dict(os.environ, {
+            with patch.dict(
-                'LEGGEN_CONFIG_DIR': str(test_config_dir),
+                os.environ,
-                'LEGGEN_DATABASE_PATH': str(test_db_path)
+                {
-            }):
+                    "LEGGEN_CONFIG_DIR": str(test_config_dir),
+                    "LEGGEN_DATABASE_PATH": str(test_db_path),
+                },
+            ):
                 # Reset path manager to pick up environment variables
                 original_config = path_manager._config_dir
                 original_db = path_manager._database_path
@@ -83,8 +87,13 @@ class TestConfigurablePaths:
 
                 assert path_manager.get_config_dir() == test_config_dir
                 assert path_manager.get_database_path() == test_db_path
-                assert path_manager.get_config_file_path() == test_config_dir / "config.toml"
+                assert (
-                assert path_manager.get_auth_file_path() == test_config_dir / "auth.json"
+                    path_manager.get_config_file_path()
+                    == test_config_dir / "config.toml"
+                )
+                assert (
+                    path_manager.get_auth_file_path() == test_config_dir / "auth.json"
+                )
             finally:
                 # Restore original paths
                 path_manager._config_dir = original_config