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writing-vizro-yaml: Скилл для работы с YAML Vizro
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Используйте эту функцию при написании или отладке конфигураций панелей управления Vizro в формате YAML: синтаксис компонентов, регистрация менеджеров данных, настройка пользовательских функций, настройка фильтров/параметров или таблиц AG Grid. Активируйте ее, когда пользователь создает приложение Vizro, сталкивается с ошибками YAML или ошибками времени выполнения, или задает вопросы о шаблонах компонентов Vizro.
SKILL.md
references
yaml-reference.md
15.8 KB
readonly
--- lines
---
name: writing-vizro-yaml
description: Use this skill when writing or debugging Vizro YAML dashboard configurations — component syntax, data_manager registration, custom function wiring, filter/parameter setup, or AG Grid tables. Activate when the user is building a Vizro app, encountering YAML or runtime errors, or asking about Vizro component patterns.
---
# Vizro YAML & Component Reference
## Critical Mistakes to Avoid
Each mistake below is expanded with code examples and fixes in [yaml-reference.md](references/yaml-reference.md).
1. **`@capture("graph")` receives a DataFrame** — use `data_frame` directly; never re-lookup via `data_manager[data_frame]` (causes blank charts).
1. **`data_manager` is not subscriptable** — pre-process on raw DataFrame, then register.
1. **Custom `_target_` needs module prefix** — `_target_: custom_charts.my_chart`, not `_target_: my_chart`.
1. **`type: figure` has no `title` field** — KPI titles go in `_target_: kpi_card` args.
1. **`type: ag_grid` requires `_target_: dash_ag_grid`**.
1. **Parameter targets** — format: `"component_id.argument_name"`, not `"component_id.figure"`.
1. **Quote YAML special chars in column names** — `column: "Version #"` (unquoted `#` starts a comment).
1. **Filter `targets:`** — omit when you want to apply it to all components on the page whose data source includes defined filter `column`.
1. **Grid must be rectangular** — same component index must span same columns in every row.
1. **Column type consistency** — filter column must have same dtype across all targeted datasets.
## Quick Patterns
```yaml
# Standard chart
- figure:
_target_: bar
data_frame: sales_data
x: region
y: revenue
type: graph
title: Revenue by Region
# KPI card (title inside figure args, NOT on component)
- figure:
_target_: kpi_card
data_frame: kpi_data
value_column: Revenue
title: Total Revenue
value_format: "${value:,.0f}"
type: figure
# AG Grid table
- figure:
_target_: dash_ag_grid
data_frame: sales_data
type: ag_grid
title: Sales Data
# Filter with targets
controls:
- column: region
targets: [chart_1, chart_2]
type: filter
```
## Key Imports
```python
import vizro.models as vm
from vizro import Vizro
import vizro.plotly.express as px
from vizro.tables import dash_ag_grid
from vizro.figures import kpi_card, kpi_card_reference
from vizro.models.types import capture
from vizro.managers import data_manager
from vizro.themes import palettes, colors
```
## Deep Dive
Load [yaml-reference.md](references/yaml-reference.md) when you need expanded guidance. Key sections to search for:
| Need | Search for |
| ------------------------------ | ---------------------------- |
| App structure | `## End-to-End Data Flow` |
| Data registration | `## Data Registration` |
| Custom charts | `## Custom Charts` |
| AG Grid (heatmap, inline bars) | `## AG Grid Tables` |
| Containers / Tabs | `## Containers` or `## Tabs` |
| Expanded mistake fixes | `## Critical Mistakes` |
Инициализация мануала...
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package.json
$ install --global
skills.sh
npx skills add https://github.com/mckinsey/vizro/tree/main/vizro-e2e-flow/skills/writing-vizro-yaml
$ download --local
man
[HINT] Скачивает всю директорию скилла с GitHub: SKILL.md и все связанные файлы