Reports

Overview

Reports in Supasheet are SQL views in the reports schema that can be exported to various formats (CSV, PDF, Excel). To display a report, you need to:

Create a view in the reports schema
Grant permissions on the view
Register the report in the supasheet.reports table
Grant :select permission to roles

Creating Reports

Basic Report

-- Step 1: Create view
create view reports.task_report as
select
  a.name as account_name,
  t.*
from tasks t
join supasheet.accounts a on t.account_id = a.id;

-- Step 2: Grant permissions
revoke all on reports.task_report from authenticated, service_role;
grant select on reports.task_report to authenticated;

-- Step 3: Register report
insert into supasheet.reports (name, description, "group", view_name, filter_field, is_active)
values ('Task Report', 'Report of all tasks with account names', 'Tasks', 'task_report', 'created_at', true);

-- Step 4: Grant permission to role
insert into supasheet.role_permissions (role, permission)
values ('user', 'reports.task_report:select');

Report Table Columns:

name - Display name of the report
description - Description shown in UI
group - Category/group for organization
view_name - Name of the view (without schema)
filter_field - Column used for filtering (usually date field)
is_active - Whether report is visible

Detailed Report with Joins

CREATE VIEW reports.order_details AS
SELECT
  o.id as order_id,
  o.created_at as order_date,
  u.email as customer_email,
  u.name as customer_name,
  p.name as product_name,
  oi.quantity,
  oi.price,
  (oi.quantity * oi.price) as line_total,
  o.status
FROM orders o
JOIN users u ON o.customer_id = u.id
JOIN order_items oi ON o.id = oi.order_id
JOIN products p ON oi.product_id = p.id
ORDER BY o.created_at DESC;

Report Types

Summary Reports

Aggregated data:

CREATE VIEW reports.monthly_summary AS
SELECT
  DATE_TRUNC('month', created_at) as month,
  COUNT(*) as total_orders,
  SUM(total) as total_revenue,
  AVG(total) as avg_order_value,
  COUNT(DISTINCT customer_id) as unique_customers
FROM orders
GROUP BY month
ORDER BY month DESC;

Detail Reports

Row-level data:

CREATE VIEW reports.customer_orders AS
SELECT
  u.id as customer_id,
  u.email,
  u.name,
  u.created_at as signup_date,
  o.id as order_id,
  o.created_at as order_date,
  o.total,
  o.status
FROM users u
LEFT JOIN orders o ON u.id = o.customer_id
ORDER BY u.created_at DESC, o.created_at DESC;

Analytical Reports

Complex analysis:

CREATE VIEW reports.customer_ltv_analysis AS
SELECT
  u.id,
  u.email,
  u.name,
  u.created_at as signup_date,
  COUNT(o.id) as total_orders,
  SUM(o.total) as lifetime_value,
  AVG(o.total) as avg_order_value,
  MIN(o.created_at) as first_order_date,
  MAX(o.created_at) as last_order_date,
  MAX(o.created_at) - MIN(o.created_at) as customer_lifespan,
  CASE
    WHEN MAX(o.created_at) >= NOW() - INTERVAL '30 days' THEN 'Active'
    WHEN MAX(o.created_at) >= NOW() - INTERVAL '90 days' THEN 'At Risk'
    ELSE 'Churned'
  END as status
FROM users u
LEFT JOIN orders o ON u.id = o.customer_id
GROUP BY u.id, u.email, u.name, u.created_at
ORDER BY lifetime_value DESC NULLS LAST;

Parameterized Reports

Date Range Reports

CREATE VIEW reports.sales_by_date_range AS
SELECT
  DATE(created_at) as date,
  COUNT(*) as orders,
  SUM(total) as revenue
FROM orders
WHERE created_at >= COALESCE(
  (current_setting('app.report_start_date', true))::DATE,
  NOW() - INTERVAL '30 days'
)
AND created_at < COALESCE(
  (current_setting('app.report_end_date', true))::DATE,
  NOW()
)
GROUP BY date
ORDER BY date;

-- Usage:
-- SET app.report_start_date = '2024-01-01';
-- SET app.report_end_date = '2024-01-31';

Filtered Reports

CREATE VIEW reports.orders_by_status AS
SELECT
  o.id,
  o.created_at,
  u.email as customer,
  o.total,
  o.status
FROM orders o
JOIN users u ON o.customer_id = u.id
WHERE o.status = COALESCE(
  current_setting('app.filter_status', true),
  o.status
)
ORDER BY o.created_at DESC;

-- Usage:
-- SET app.filter_status = 'completed';

User-Specific Reports

Personal Reports

CREATE VIEW reports.my_orders AS
SELECT
  id,
  created_at,
  total,
  status
FROM orders
WHERE customer_id = auth.uid()
ORDER BY created_at DESC;

Role-Based Reports

CREATE VIEW reports.sales_rep_performance AS
SELECT
  sr.id as rep_id,
  sr.name as rep_name,
  COUNT(o.id) as total_orders,
  SUM(o.total) as total_revenue,
  AVG(o.total) as avg_order_value
FROM users sr
LEFT JOIN orders o ON sr.id = o.sales_rep_id
WHERE sr.role = 'sales_rep'
  AND (
    sr.id = auth.uid()  -- Own data
    OR (SELECT role FROM users WHERE id = auth.uid()) = 'admin'  -- Or admin
  )
GROUP BY sr.id, sr.name
ORDER BY total_revenue DESC NULLS LAST;

Financial Reports

Revenue Reports

CREATE VIEW reports.revenue_breakdown AS
SELECT
  DATE_TRUNC('month', created_at) as month,
  SUM(total) as gross_revenue,
  SUM(total * 0.03) as processing_fees,  -- 3% fee example
  SUM(cost) as cost_of_goods,
  SUM(total - (total * 0.03) - cost) as net_profit
FROM orders
WHERE created_at >= NOW() - INTERVAL '12 months'
GROUP BY month
ORDER BY month DESC;

Invoice Report

CREATE VIEW reports.invoices AS
SELECT
  i.invoice_number,
  i.created_at as invoice_date,
  i.due_date,
  c.name as customer_name,
  c.email as customer_email,
  c.billing_address,
  i.subtotal,
  i.tax_amount,
  i.total,
  i.status,
  CASE
    WHEN i.status = 'paid' THEN i.paid_at
    WHEN i.due_date < NOW() THEN 'OVERDUE'
    ELSE NULL
  END as payment_info
FROM invoices i
JOIN customers c ON i.customer_id = c.id
ORDER BY i.created_at DESC;

Inventory Reports

CREATE VIEW reports.inventory_status AS
SELECT
  p.id,
  p.name,
  p.sku,
  p.category,
  p.stock_quantity,
  p.reorder_level,
  CASE
    WHEN p.stock_quantity = 0 THEN 'Out of Stock'
    WHEN p.stock_quantity <= p.reorder_level THEN 'Low Stock'
    ELSE 'In Stock'
  END as status,
  p.unit_cost,
  (p.stock_quantity * p.unit_cost) as inventory_value
FROM products p
ORDER BY
  CASE
    WHEN p.stock_quantity = 0 THEN 1
    WHEN p.stock_quantity <= p.reorder_level THEN 2
    ELSE 3
  END,
  p.name;

Customer Reports

Cohort Analysis

CREATE VIEW reports.cohort_analysis AS
SELECT
  DATE_TRUNC('month', u.created_at) as cohort_month,
  DATE_TRUNC('month', o.created_at) as order_month,
  EXTRACT(MONTH FROM AGE(o.created_at, u.created_at)) as months_since_signup,
  COUNT(DISTINCT o.customer_id) as customers,
  SUM(o.total) as revenue
FROM users u
LEFT JOIN orders o ON u.id = o.customer_id
WHERE u.created_at >= NOW() - INTERVAL '12 months'
GROUP BY cohort_month, order_month
ORDER BY cohort_month, order_month;

Customer Segmentation

CREATE VIEW reports.customer_segments AS
SELECT
  u.id,
  u.email,
  u.name,
  COUNT(o.id) as order_count,
  SUM(o.total) as lifetime_value,
  MAX(o.created_at) as last_order_date,
  CASE
    WHEN SUM(o.total) >= 5000 THEN 'VIP'
    WHEN SUM(o.total) >= 1000 THEN 'Premium'
    WHEN SUM(o.total) >= 100 THEN 'Regular'
    ELSE 'Bronze'
  END as segment,
  CASE
    WHEN MAX(o.created_at) >= NOW() - INTERVAL '30 days' THEN 'Active'
    WHEN MAX(o.created_at) >= NOW() - INTERVAL '90 days' THEN 'At Risk'
    ELSE 'Inactive'
  END as activity_status
FROM users u
LEFT JOIN orders o ON u.id = o.customer_id
GROUP BY u.id, u.email, u.name;

Performance Reports

Product Performance

CREATE VIEW reports.product_performance AS
SELECT
  p.id,
  p.name,
  p.category,
  COUNT(DISTINCT oi.order_id) as times_ordered,
  SUM(oi.quantity) as units_sold,
  SUM(oi.quantity * oi.price) as gross_revenue,
  SUM(oi.quantity * p.cost) as cost,
  SUM(oi.quantity * (oi.price - p.cost)) as gross_profit,
  ROUND(
    SUM(oi.quantity * (oi.price - p.cost))::NUMERIC /
    NULLIF(SUM(oi.quantity * oi.price), 0) * 100,
    2
  ) as profit_margin_pct
FROM products p
LEFT JOIN order_items oi ON p.id = oi.product_id
LEFT JOIN orders o ON oi.order_id = o.id
WHERE o.created_at >= NOW() - INTERVAL '90 days' OR o.created_at IS NULL
GROUP BY p.id, p.name, p.category
ORDER BY gross_revenue DESC NULLS LAST;

Export Formats

Reports can be exported in multiple formats:

CSV Export

-- Optimized for CSV export
CREATE VIEW reports.csv_export_orders AS
SELECT
  id::TEXT,
  created_at::TEXT,
  customer_email,
  total::TEXT,
  status
FROM orders
ORDER BY created_at DESC;

Excel-Friendly Format

-- Formatted for Excel
CREATE VIEW reports.excel_sales AS
SELECT
  TO_CHAR(created_at, 'YYYY-MM-DD HH24:MI:SS') as "Order Date",
  customer_email as "Customer Email",
  TO_CHAR(total, 'FM$999,999,990.00') as "Order Total",
  INITCAP(status) as "Status"
FROM orders;

Scheduled Reports

Daily Summary

CREATE VIEW reports.daily_summary AS
SELECT
  CURRENT_DATE as report_date,
  COUNT(*) as total_orders,
  SUM(total) as total_revenue,
  AVG(total) as avg_order_value,
  COUNT(DISTINCT customer_id) as unique_customers
FROM orders
WHERE DATE(created_at) = CURRENT_DATE;

Performance Tips

Use Indexes

CREATE INDEX orders_created_at_idx ON orders(created_at);
CREATE INDEX orders_customer_id_idx ON orders(customer_id);
CREATE INDEX order_items_order_id_idx ON order_items(order_id);

Limit Results

CREATE VIEW reports.recent_1000_orders AS
SELECT *
FROM orders
ORDER BY created_at DESC
LIMIT 1000;

Materialized Views

CREATE MATERIALIZED VIEW reports.monthly_stats AS
SELECT
  DATE_TRUNC('month', created_at) as month,
  COUNT(*) as orders,
  SUM(total) as revenue
FROM orders
GROUP BY month;

-- Refresh daily
REFRESH MATERIALIZED VIEW reports.monthly_stats;

Report Permissions

-- Admin-only reports
CREATE POLICY "Admins access all reports"
  ON reports.financial_summary
  FOR SELECT
  TO authenticated
  USING (
    (SELECT role FROM users WHERE id = auth.uid()) = 'admin'
  );

-- User-specific reports
CREATE VIEW reports.my_purchase_history AS
SELECT *
FROM orders
WHERE customer_id = auth.uid();

Next Steps

Dashboards - Create visual dashboards
Charts - Add visualizations
Authorization - Secure your reports

Reports

On this page