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Merge pull request #12948 from irynamatveieva/cf-help-page

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Updated cf help page
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Viacheslav Klimov 2025-03-17 13:17:06 +02:00 committed by GitHub
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6 changed files with 131 additions and 134 deletions
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25
ui-ngx/src/assets/help/en_US/calculated-field/examples/merge-functions/merge_all_output.md Normal file
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@ -0,0 +1,25 @@
#### Output:
```json
{
"mergedData": {
"timeWindow": {
"startTs": 1741356332086,
"endTs": 1741357232086
},
"values": [{
"ts": 1741357047945,
"values": [76.0, 46.0, 1023.0]
}, {
"ts": 1741357056144,
"values": [76.0, 46.0, 1026.0]
}, {
"ts": 1741357063689,
"values": [77.0, 46.0, 1026.0]
}, {
"ts": 1741357147391,
"values": [77.0, 46.0, 1025.0]
}]
}
}
```

5
ui-ngx/src/assets/help/en_US/calculated-field/examples/merge-functions/merge_all_usage.md Normal file
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@ -0,0 +1,5 @@
#### Usage:
```javascript
var mergedData = temperature.mergeAll([humidity, pressure], { ignoreNaN: true });
```

48
ui-ngx/src/assets/help/en_US/calculated-field/examples/merge-functions/merge_input.md Normal file
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@ -0,0 +1,48 @@
#### Assuming the following arguments and their values:
```json
{
"humidity": {
"timeWindow": {
"startTs": 1741356332086,
"endTs": 1741357232086
},
"values": [{
"ts": 1741356882759,
"value": 43
}, {
"ts": 1741356918779,
"value": 46
}]
},
"pressure": {
"timeWindow": {
"startTs": 1741356332086,
"endTs": 1741357232086
},
"values": [{
"ts": 1741357047945,
"value": 1023
}, {
"ts": 1741357056144,
"value": 1026
}, {
"ts": 1741357147391,
"value": 1025
}]
},
"temperature": {
"timeWindow": {
"startTs": 1741356332086,
"endTs": 1741357232086
},
"values": [{
"ts": 1741356874943,
"value": 76
}, {
"ts": 1741357063689,
"value": 77
}]
}
}
```

25
ui-ngx/src/assets/help/en_US/calculated-field/examples/merge-functions/merge_output.md Normal file
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@ -0,0 +1,25 @@
#### Output:
```json
{
"mergedData": {
"timeWindow": {
"startTs": 1741356332086,
"endTs": 1741357232086
},
"values": [{
"ts": 1741356874943,
"values": [76.0, "NaN"]
}, {
"ts": 1741356882759,
"values": [76.0, 43.0]
}, {
"ts": 1741356918779,
"values": [76.0, 46.0]
}, {
"ts": 1741357063689,
"values": [77.0, 46.0]
}]
}
}
```

5
ui-ngx/src/assets/help/en_US/calculated-field/examples/merge-functions/merge_usage.md Normal file
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@ -0,0 +1,5 @@
#### Usage:
```javascript
var mergedData = temperature.merge(humidity, { ignoreNaN: false });
```

157
ui-ngx/src/assets/help/en_US/calculated-field/expression_fn.md
View File

@ -1,9 +1,8 @@
## Calculated Field TBEL Script Function ## Calculated Field TBEL Script Function
The **calculate()** function is a user-defined script that enables custom calculations using [TBEL](\${siteBaseUrl}/docs\${docPlatformPrefix}/user-guide/tbel/) on telemetry and attribute data. The **calculate()** function is a user-defined script that enables custom calculations using [TBEL](${siteBaseUrl}/docs${docPlatformPrefix}/user-guide/tbel/) on telemetry and attribute data.
It receives arguments configured in the calculated field setup, along with an additional `ctx` object that provides access to all arguments. It receives arguments configured in the calculated field setup, along with an additional `ctx` object that provides access to all arguments.
### Function Signature ### Function Signature
```javascript ```javascript
@ -18,8 +17,6 @@ There are three types of arguments supported in the calculated field configurati
These arguments are single values and may be of type: boolean, int64 (long), double, string, or JSON. These arguments are single values and may be of type: boolean, int64 (long), double, string, or JSON.
Attribute and Latest telemetry are single value arguments that may be one of: boolean, int64 (long), double, string and JSON.
**Example: Convert Temperature from Fahrenheit to Celsius** **Example: Convert Temperature from Fahrenheit to Celsius**
```javascript ```javascript
@ -95,25 +92,24 @@ for(var i = 0; i < temperature.values.size; i++) {
sum += temperature.values[i].value; sum += temperature.values[i].value;
} }
// use built-in function to calculate the sum // use built-in function to calculate the sum
sum = t.sum(); sum = temperature.sum();
``` ```
##### Built-in Methods for Rolling Arguments ##### Built-in Methods for Rolling Arguments
Time series rolling arguments support built-in functions for calculations. These functions accept an optional `ignoreNaN` boolean parameter. Time series rolling arguments support built-in functions for calculations. These functions accept an optional `ignoreNaN` boolean parameter.
| Method | Default Behavior (`ignoreNaN = true`) | Alternative (`ignoreNaN = false`) | | Method | Default Behavior (`ignoreNaN = true`) | Alternative (`ignoreNaN = false`) |
|------------|-----------------------------------------------------|---------------------------------------------| |-----------------|-----------------------------------------------------|---------------------------------------------|
| `max()` | Returns the highest value, ignoring NaN values. | Returns NaN if any NaN values exist. | | `max()` | Returns the highest value, ignoring NaN values. | Returns NaN if any NaN values exist. |
| `min()` | Returns the lowest value, ignoring NaN values. | Returns NaN if any NaN values exist. | | `min()` | Returns the lowest value, ignoring NaN values. | Returns NaN if any NaN values exist. |
| `mean()` | Computes the average value, ignoring NaN values. | Returns NaN if any NaN values exist. | | `mean(), avg()` | Computes the average value, ignoring NaN values. | Returns NaN if any NaN values exist. |
| `std()` | Calculates the standard deviation, ignoring NaN. | Returns NaN if any NaN values exist. | | `std()` | Calculates the standard deviation, ignoring NaN. | Returns NaN if any NaN values exist. |
| `median()` | Returns the median value, ignoring NaN values. | Returns NaN if any NaN values exist. | | `median()` | Returns the median value, ignoring NaN values. | Returns NaN if any NaN values exist. |
| `count()` | Counts values, ignoring NaN values. | Counts all values, including NaN. | | `count()` | Counts values, ignoring NaN values. | Counts all values, including NaN. |
| `last()` | Returns the most recent value, skipping NaN values. | Returns the last value, even if it is NaN. | | `last()` | Returns the most recent value, skipping NaN values. | Returns the last value, even if it is NaN. |
| `first()` | Returns the oldest value, skipping NaN values. | Returns the first value, even if it is NaN. | | `first()` | Returns the oldest value, skipping NaN values. | Returns the first value, even if it is NaN. |
| `sum()` | Computes the total sum, ignoring NaN values. | Returns NaN if any NaN values exist. | | `sum()` | Computes the total sum, ignoring NaN values. | Returns NaN if any NaN values exist. |
Usage example: Usage example:
@ -141,7 +137,7 @@ function calculate(ctx, altitude, temperature) {
var airDensity = pressure / (287.05 * temperatureK); var airDensity = pressure / (287.05 * temperatureK);
return { return {
"airDensity": airDensity "airDensity": toFixed(airDensity, 2)
}; };
} }
``` ```
@ -150,123 +146,16 @@ function calculate(ctx, altitude, temperature) {
Time series rolling arguments can be **merged** to align timestamps across multiple datasets. Time series rolling arguments can be **merged** to align timestamps across multiple datasets.
| Method | Description | Parameters | Returns | | Method | Description | Returns | Example |
|:-----------------------------|:--------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------| |:-----------------------------|:--------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `merge(other, settings)` | Merges with another rolling argument. Aligns timestamps and filling missing values with the previous available value. | <ul><li>`other` (another rolling argument)</li><li>`settings` (optional) - configuration object, supports:<ul><br/><li>`ignoreNaN` (boolean, default true) - controls whether NaN values should be ignored.</li><li>`timeWindow` (object, default {}) - defines a custom time window for filtering merged values.</li></ul></li></ul>| Merged object with timeWindow and aligned values. | | `merge(other, settings)` | Merges with another rolling argument. Aligns timestamps and filling missing values with the previous available value. | Merged object with `timeWindow` and aligned values. | <span tb-help-popup="calculated-field/examples/merge-functions/merge_input" tb-help-popup-placement="top" trigger-text="Input"></span> <br> <span tb-help-popup="calculated-field/examples/merge-functions/merge_usage" tb-help-popup-placement="top" trigger-text="Usage"></span> <br> <span tb-help-popup="calculated-field/examples/merge-functions/merge_output" tb-help-popup-placement="top" trigger-text="Output"></span> |
| `mergeAll(others, settings)` | Merges with multiple rolling arguments. Aligns timestamps and filling missing values with the previous available value. | <ul><li>`others` (array of rolling arguments)</li><li>`settings` (optional) - configuration object, supports:<ul><br/><li>`ignoreNaN` (boolean, default true) - controls whether NaN values should be ignored.</li><li>`timeWindow` (object, default {}) - defines a custom time window for filtering merged values.</li></ul></li></ul>| Merged object with timeWindow and aligned values.| | `mergeAll(others, settings)` | Merges multiple rolling arguments. Aligns timestamps and filling missing values with the previous available value. | Merged object with `timeWindow` and aligned values. | <span tb-help-popup="calculated-field/examples/merge-functions/merge_input" tb-help-popup-placement="top" trigger-text="Input"></span> <br> <span tb-help-popup="calculated-field/examples/merge-functions/merge_all_usage" tb-help-popup-placement="top" trigger-text="Usage"></span> <br> <span tb-help-popup="calculated-field/examples/merge-functions/merge_all_output" tb-help-popup-placement="top" trigger-text="Output"></span> |
Assuming the following arguments and their values: ##### Parameters
| Parameter | Description |
```json |:---------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
{ | `other` or `others` | Another rolling argument or array of rolling arguments to merge with. |
"humidity": { | `settings`(optional) | Configuration object that supports: <ul><li>`ignoreNaN` - controls whether NaN values should be ignored.</li> <li>`timeWindow` - defines a custom time window.</li></ul> |
"timeWindow": {
"startTs": 1741356332086,
"endTs": 1741357232086
},
"values": [{
"ts": 1741356882759,
"value": 43
}, {
"ts": 1741356918779,
"value": 46
}]
},
"pressure": {
"timeWindow": {
"startTs": 1741356332086,
"endTs": 1741357232086
},
"values": [{
"ts": 1741357047945,
"value": 1023
}, {
"ts": 1741357056144,
"value": 1026
}, {
"ts": 1741357147391,
"value": 1025
}]
},
"temperature": {
"timeWindow": {
"startTs": 1741356332086,
"endTs": 1741357232086
},
"values": [{
"ts": 1741356874943,
"value": 76
}, {
"ts": 1741357063689,
"value": 77
}]
}
}
```
**Usage:**
```javascript
var mergedData = temperature.merge(humidity, { ignoreNaN: false });
```
**Output:**
```json
{
"mergedData": {
"timeWindow": {
"startTs": 1741356332086,
"endTs": 1741357232086
},
"values": [{
"ts": 1741356874943,
"values": [76.0, "NaN"]
}, {
"ts": 1741356882759,
"values": [76.0, 43.0]
}, {
"ts": 1741356918779,
"values": [76.0, 46.0]
}, {
"ts": 1741357063689,
"values": [77.0, 46.0]
}]
}
}
```
**Usage:**
```javascript
var mergedData = temperature.mergeAll([humidity, pressure], { ignoreNaN: true });
```
**Output:**
```json
{
"mergedData": {
"timeWindow": {
"startTs": 1741356332086,
"endTs": 1741357232086
},
"values": [{
"ts": 1741357047945,
"values": [76.0, 46.0, 1023.0]
}, {
"ts": 1741357056144,
"values": [76.0, 46.0, 1026.0]
}, {
"ts": 1741357063689,
"values": [77.0, 46.0, 1026.0]
}, {
"ts": 1741357147391,
"values": [77.0, 46.0, 1025.0]
}]
}
}
```
**Example: Freezer temperature analysis** **Example: Freezer temperature analysis**