---
name: frappe-syntax-reports
description: >
  Use when building Query Reports, Script Reports, or configuring Report Builder, including chart data integration.
  Prevents report errors from wrong column definitions, missing permissions, and incorrect data formatting.
  Covers Query Report (SQL-based), Script Report (Python-based), Report Builder, report columns definition, filters, chart_data, report permissions, prepared_report.
  Keywords: Query Report, Script Report, Report Builder, report columns, filters, chart_data, frappe.query_report, prepared_report, report columns, how to build report, report not showing data, chart in report..
license: MIT
compatibility: "Claude Code, Claude.ai Projects, Claude API. Frappe v14-v16."
metadata:
  author: OpenAEC-Foundation
  version: "2.0"
---

# Reports: Query, Script & Report Builder

## Quick Reference

### Report Types at a Glance

| Type | Code Required | Use Case | Permission |
|------|--------------|----------|------------|
| Report Builder | None | Simple single-DocType listing with filters, group by | Any user |
| Query Report | SQL only | Direct SQL queries, legacy column format | System Manager |
| Script Report (Standard) | Python + JS | Complex logic, charts, summaries, trees | Administrator + Developer Mode |
| Script Report (Custom) | Python in UI | Quick custom reports without app deployment | System Manager |

### Script Report execute() Return Values

```python
def execute(filters=None):
    columns = [...]   # List of dicts
    data = [...]      # List of dicts or lists
    message = "..."   # Optional: HTML message above report
    chart = {...}     # Optional: chart configuration
    report_summary = [...]  # Optional: summary cards
    skip_total_row = False  # Optional: suppress auto-total
    return columns, data, message, chart, report_summary, skip_total_row
```

### Column Definition (Dict Format)

```python
columns = [
    {
        "fieldname": "customer",
        "label": _("Customer"),
        "fieldtype": "Link",
        "options": "Customer",
        "width": 200
    },
    {
        "fieldname": "amount",
        "label": _("Amount"),
        "fieldtype": "Currency",
        "options": "currency",  # field in row holding currency code
        "width": 120
    }
]
```

### Query Report Column Format (Legacy String)

```sql
SELECT
  name as "Sales Order:Link/Sales Order:200",
  customer as "Customer:Link/Customer:180",
  grand_total as "Total:Currency:120",
  transaction_date as "Date:Date:100"
FROM `tabSales Order`
WHERE docstatus = 1
```

Format: `"Label:Fieldtype/Options:Width"` — Options only needed for Link, Dynamic Link, Currency.

### Filter Definition (JS)

```javascript
frappe.query_reports["My Report"] = {
    filters: [
        {
            fieldname: "company",
            label: __("Company"),
            fieldtype: "Link",
            options: "Company",
            default: frappe.defaults.get_user_default("company"),
            reqd: 1
        },
        {
            fieldname: "from_date",
            label: __("From Date"),
            fieldtype: "Date",
            default: frappe.datetime.add_months(frappe.datetime.get_today(), -1)
        },
        {
            fieldname: "status",
            label: __("Status"),
            fieldtype: "Select",
            options: "\nDraft\nSubmitted\nCancelled"
        }
    ]
};
```

## Decision Tree: Which Report Type?

```
Need a report?
├─ Simple list/group of one DocType → Report Builder
│   (no code, UI-only, supports Group By with Count/Sum/Avg)
├─ Direct SQL query, no Python logic needed → Query Report
│   (SQL in Report doc, column format in aliases)
├─ Complex logic, calculations, charts → Script Report (Standard)
│   (Python .py + JS .js files, requires Developer Mode)
└─ Quick one-off with Python but no app deploy → Script Report (Custom)
    (Python in Report doc UI, System Manager can create)
```

```
Script Report returns what?
├─ Just data → return columns, data
├─ Data + chart → return columns, data, None, chart
├─ Data + summary → return columns, data, None, None, report_summary
├─ Data + message → return columns, data, message
└─ Everything → return columns, data, message, chart, report_summary, skip_total_row
```

## Supported Fieldtypes for Columns

| Fieldtype | Options Required | Notes |
|-----------|-----------------|-------|
| `Data` | No | Plain text |
| `Link` | DocType name | Clickable link to document |
| `Dynamic Link` | Fieldname holding DocType | Pair with a column containing DocType |
| `Currency` | Currency field or code | Fieldname in row that holds currency |
| `Float` | No | Decimal number |
| `Int` | No | Integer |
| `Percent` | No | Shows percentage bar |
| `Date` | No | Date display |
| `Datetime` | No | Date + time |
| `Check` | No | Boolean checkbox |
| `Select` | No | Dropdown value |
| `Text` | No | Long text |
| `HTML` | No | Raw HTML rendering |

## Supported Filter Fieldtypes

| Fieldtype | Options | Behavior |
|-----------|---------|----------|
| `Link` | DocType name | Autocomplete from DocType |
| `Select` | Newline-separated values | Dropdown with fixed options |
| `Date` | — | Date picker |
| `DateRange` | — | Returns `[from_date, to_date]` list |
| `Check` | — | Boolean toggle |
| `Dynamic Link` | Fieldname of Link filter | Depends on another filter value |
| `Data` | — | Free text input |
| `Int` | — | Numeric input |
| `MultiSelectList` | DocType name | Multiple value selection |

## Chart Data Format

```python
chart = {
    "data": {
        "labels": ["Jan", "Feb", "Mar", "Apr"],
        "datasets": [
            {"name": _("Revenue"), "values": [100, 200, 150, 300]},
            {"name": _("Expense"), "values": [80, 150, 120, 250]}
        ]
    },
    "type": "bar",        # bar, line, pie, donut, percentage
    "fieldtype": "Currency",
    "options": "currency",
    "currency": "USD",
    "colors": ["#5e64ff", "#ffa00a"]  # Optional custom colors
}
```

## Report Summary Format

```python
report_summary = [
    {
        "value": total_revenue,
        "label": _("Total Revenue"),
        "datatype": "Currency",
        "currency": "USD",
        "indicator": "Green"   # Green, Blue, Orange, Red
    },
    {
        "value": total_count,
        "label": _("Total Orders"),
        "datatype": "Int",
        "indicator": "Blue"
    }
]
```

## Prepared Reports

For reports processing large datasets, enable **Prepared Report** to run asynchronously:

1. Set `prepared_report = 1` in the Report document
2. User clicks "Generate New Report" — runs in background via `enqueue()`
3. Results stored in file; user downloads or views when ready
4. ALWAYS use for reports that query > 100k rows or take > 30 seconds

## Number Cards

| Source Type | Required Fields | How It Works |
|-------------|----------------|--------------|
| Document Type | `document_type`, `function`, `aggregate_function_based_on` | SQL aggregate on DocType |
| Report | `report_name`, `report_field`, `function` | Pulls value from a report column |
| Custom Method | `method` | Calls a whitelisted Python method |

Custom method signature:
```python
@frappe.whitelist()
def get_total_active_users(filters=None):
    return frappe.db.count("User", {"enabled": 1})
```

## Dashboard Charts

| Source | Configuration | Data Format |
|--------|--------------|-------------|
| Report | Set `chart_type = "Report"`, select report | Uses report's chart data |
| Custom | Set `chart_type = "Custom"`, define `source` | Hook returns `{"labels": [...], "datasets": [...]}` |
| Group By | Set `chart_type = "Group By"`, pick field | Auto-aggregates by field |

Dashboard Chart Source hook in `hooks.py`:
```python
dashboard_chart_source = [
    "myapp.dashboard_chart_source.get_chart_data"
]
```

## Critical Rules

- **ALWAYS** define columns as list of dicts with `fieldname`, `label`, `fieldtype`. The legacy string format is ONLY for Query Report SQL aliases.
- **NEVER** return `None` for `columns` or `data` in `execute()` — ALWAYS return empty lists `[]`.
- **ALWAYS** use `_(...)` for translatable labels in columns and report_summary.
- **NEVER** use `frappe.db.sql` with user-supplied filter values directly in f-strings — ALWAYS pass as parameters: `frappe.db.sql(query, filters, as_dict=True)`.
- **ALWAYS** set `Reference DocType` on the Report document — it controls user access permissions.
- **NEVER** omit `width` in column definitions — columns without width render poorly.
- **ALWAYS** match `datasets[].values` length to `labels` length in chart data — mismatched lengths cause chart rendering errors.

## See Also

- [references/query-report.md](references/query-report.md) — Complete Query Report API
- [references/script-report.md](references/script-report.md) — Script Report JS API
- [references/examples.md](references/examples.md) — Working report examples
- [references/anti-patterns.md](references/anti-patterns.md) — Common report mistakes
- [references/dashboard.md](references/dashboard.md) — Number Cards, Dashboard Charts