In evaluations, the function can either prepare data for Highcharts or assemble it for a more complex table. The data parameter here is always an array of objects with the result from the SQL evaluation.
[
{
"Probe": "P01",
"Messwert": 0.31
},
{
"Probe": "P02",
"Messwert": 1.44
}
]
If data for a chart is to be provided, the return value must be an object whose keys are then used in Highcharts. These can be accessed as variables with the prefix _TRANSFORM_
.
/**
* @param {any} data
* @return {object}
*/
function transform (data) {
return {
series: data.map(d => ({ y: parseFloat(d.Messwert) * -1, Probe: d.Probe }))
}
}
In this case, _TRANSFORM_SERIES_
would be usable in the Highcharts configuration and would contain the data for a series.
Additional Functions
Chart transformation codes also have the ability to provide functions for Highcharts configurations, as the configuration is a pure JSON object and therefore cannot contain Javascript functions. For these to be used, they must have the prefix _HC_
.
Example:
function _HC_ClickHandler () {
window.location.href = `/demo/samples/view/${this.sampleID}`
}
Variables from the Evaluation
Variables from the evaluation such as _VAR0_
, _VAR1_
, etc. are replaced in the code with the given values, which then makes something like this possible:
const title = `Evaluation for Sample _VAR0_`
Tables
If a table is to be built here, two keys in the returned object are crucial:
rows
titleRows
(optional)rows
must be an Array
containing objects whose keys represent the column titles. This means an Array
of this type
{
"rows": [
{
"Probe": "X0001",
"Anmerkung": "X-ray measurement",
"Messwert": 0.31
},
{
"Probe": "X0002",
"Anmerkung": "X-ray measurement",
"Messwert": 1.41
}
]
}
becomes a table with this structure
Sample | Remark | Measured Value |
---|---|---|
X0001 | X-ray measurement | 0.31 |
X0002 | X-ray measurement | 1.41 |
titleRows
can optionally specify additional title columns. This is particularly useful if you want to use advanced formatting options such as colSpan
. titleRows
is an Array
of arrays, where each entry represents a title row. An entry in the title row can either be a String
that simply carries the title of the column, or an object if multiple options are desired. This is structured as follows:
title
: Title of the columncolspan
: Colspan attributewidth
: Column width (in px)Hier ein Beispiel:
{
"titleRows": [
[
{
"title": "X-ray Measurements",
"colspan": 3,
"width": 30,
"align": "center"
}
],
[
"Sample",
"Remark",
"Measured Value"
]
],
"rows": [
[ "X0001", "X-ray measurement", 0.32 ],
[ "X0002", "X-ray measurement", 0.11 ]
]
}
This setting for titleRows
yields the following table:
X-ray Measurements
Sample | Remark | Measured Value |
---|---|---|
X0001 | X-ray measurement | 1.32 |
X0002 | X-ray measurement | 1.11 |
Tables in Reports - Transformation Code in Report Tables
The structure of the arrays (for rows
and titleRows
) corresponds to the structure of the arrays in the evaluations (See above - Tables section).
rows
titleRows
(optional)An entry in the title row can either be a String
that simply carries the title of the column, or an object if multiple options are desired. This is structured as follows:
title
: Title of the columncolspan
: Colspan attributewidth
: Column width (in mm)align
: 'C' for Center, 'L' for Left, 'R' for RightIf, for example, only 1-2 columns are defined with width
, the remaining column widths adapt dynamically to the page width (frame of the PDF template).
Continue with: Export transformation code
Last change: 22.08.2025
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