Can you force setup chunks to not render in dashboards?

[edenian-prince]

Description

tl;dr - how can i properly set up a data pulls chunk that makes variables available to the rest of the document while not rendering the setup chunk in Quarto Dashboards?

Hello there! I'm using Quarto version 1.7.32 and am trying to make a simple dashboard with python and ojs.

I have some code that pulls in data using a python chunk, then ojs handles the dashboard chunks. I do not want the data pulls chunk to render anything in the dashboard, but I've noticed that any parameter i set (like setup: true, context: setup, include: false, etc) has issues. For example, if I write include: false the python variables in the setup chunks will not pass to the ojs chunks, which i think is working as expected:

However, when I try anything else like context: setup, it will render a weird box that represents the code cell and messes up the dashboard:

here is the code example below. any ideas?

---
title: "Data Context Problem"
format: dashboard
execute: 
  echo: false
  warning: false
---

```{python}
#| include: true
import polars as pl
import polars.selectors as cs
from datetime import datetime, timedelta
import random

random.seed(42)  # for reproducibility

# Generate mock data
num_rows = 200
start_date = datetime(2023, 1, 1)

pydata = {
    "date": [start_date + timedelta(days=random.randint(0, 550)) for _ in range(num_rows)],
    "COUNTY": [random.choice(["King", "Pierce", "Snohomish", "Spokane"]) for _ in range(num_rows)],
    "RESULT": [random.choice(["Opened", "Closed", "In Progress"]) for _ in range(num_rows)]
}

df = pl.DataFrame(pydata)

df_str = (
  df
  .with_columns(
    cs.date().cast(pl.String), 
    cs.datetime().cast(pl.String)
  )
)

df_str2 = df_str.to_dicts()

```

```{python}
#| include: true
ojs_define(newdata = df_str2)
```


# {.sidebar}


```{ojs}
import {date, checkbox} from "@jashkenas/inputs"

parsed_data = newdata.map(d => ({
  ...d,
  date: new Date(d.date)
}))

viewof RESULT = checkbox({
  title: "Result Status",
  options: ["Opened", "Closed", "In Progress"],
  value: ["Opened", "Closed", "In Progress"]
})



viewof start_date = date({
  title: "Start Date",
  value: "2024-01-01"
})

viewof end_date = date({
  title: "End Date",
  value: "2025-07-01"
})

```

# Plot

## Row

```{python}
x = 20

```

::: {.valuebox icon="arrow-repeat" color="vb-warning"}
In Progress

`{python} x`

120 started today
:::


::: {.valuebox icon="plus-circle" color="vb-info"}
Opened

`1001`
:::

::: {.valuebox icon="check-circle" color="vb-success"}
Closed

`200`
:::


## Row

```{ojs}

import { vl } from "@vega/vega-lite-api"
weatherColors = ["darkgray", "steelblue", "paleturquoise", "gold"]
viewof groupedBar = vl.markBar()
  .data(filtered)
  .encode(
    vl.column().fieldO("COUNTY"),
    vl.x().fieldN("RESULT").axis({ title: null }),
    vl.y().count(),
    vl.color().fieldN("RESULT").scale({ range: weatherColors })
  )
  .render()

```

# Data

```{ojs}
Inputs.table(filtered)
```

```{ojs}
filtered = parsed_data.filter(function(co) {
    return RESULT.includes(co.RESULT) &&
    co.date >= new Date(start_date) &&
    co.date <= new Date(end_date);
})
```

[mcanouil]

Move the cell in the sidebar.

# {.sidebar}

```{python}
ojs_define(newdata = df_str2)
```

```{ojs}
//| output: false
import {date, checkbox} from "@jashkenas/inputs"

parsed_data = newdata.map(d => ({
  ...d,
  date: new Date(d.date)
}))
```

```{ojs}
viewof RESULT = checkbox({
  title: "Result Status",
  options: ["Opened", "Closed", "In Progress"],
  value: ["Opened", "Closed", "In Progress"]
})

viewof start_date = date({
  title: "Start Date",
  value: "2024-01-01"
})

viewof end_date = date({
  title: "End Date",
  value: "2025-07-01"
})
```

---

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[edenian-prince]

omg, so simple. thank you!!