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FunctionsAPI
02b4ad2eb3 Automatic push from FunctionsAPI 2025-08-19 15:02:28 +00:00
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[package]
edition = "2024"
name = "web"
version = "0.1.0"
[dependencies]
fathom-function = { git = "ssh://git@github.com/fathom-io/pipeline-calculations.git", branch = "main" }
pipeline-application = { git = "ssh://git@github.com/fathom-io/pipeline-calculations.git", branch = "main" }
serde = { version = "1.0.219", features = ["derive"] }
tokio = { version = "1.43.0", features = ["macros", "rt-multi-thread"] }
uom = { version = "0.36" }
uuid = { version = "1" }

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# 0436513f1bef4600abf4dfc390d890cd # ILI comparison
This function will run the ILI comparison algorithm based on the continuous scorer implementation.
See [ILI comparison](../ili_comparison/README.md) for more details of the comparison algorithm.
## Input
### Arguments
- `org_id`: as string which should be a valid `uuid` for the organization
- `project_id`: the id of the data project where the pipeline data is found
- `pipeline_id`: a `array` of string values representing a valid `uuid` for a pipeline
- `older_ili_id`: a `array` of string values representing a valid `uuid` for an ili report sequence
- `newer_ili_id`: a `array` of string values representing a valid `uuid` for an ili report sequence
- `weld_location_threshold`: a `float` value
- `feature_location_threshold`: a `float` value
- `upstream_girth_threshold`: a `float` value
- `orientation_threshold`: a `float` value
- `anomaly_size`: an `object` with the configuration for the depth and length of the anomalies
- `surface_location_criteria`: a `string` whose value should be one of
- `matching`
- `any`
## Creating the function on the platform
To create this function on the platform using the `cli` set up the port forwarding as shown in README.
Then run the following command to create the function.
```bash
cargo run functions create \
-f functions/ili_comparison_continuous \
-d "Compare two ILI reports using the continuous scorer" \
-o org_id=string \
-o project_id=string \
-o pipeline_ids=array \
-o matched_ids=array \
-o unmatched_ids=array \
-o summary_ids=array \
-i org_id=string \
-i project_id=string \
-i pipeline_id=array \
-i older_ili_id=array \
-i newer_ili_id=array \
-i weld_location_threshold=float \
-i upstream_girth_threshold=float \
-i feature_location_threshold=float \
-i orientation_threshold=float \
-i anomaly_size=object \
-i surface_location_criteria=string
```
## Testing the function locally
You can run and test the function locally by running
```bash
cargo run
```
Then you can check it work with `curl` as follows
```bash
curl localhost:8080 -d $(jq '. | tojson' functions/ili_comparison_continuous/example_input.json)
```

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{
"anomaly_size": {
"depth": {
"center": {
"inputType": "number",
"value": "5.0"
},
"left_width": {
"inputType": "number",
"value": "15.1"
},
"right_width": {
"inputType": "number",
"value": "25.1"
}
},
"length": {
"center": {
"inputType": "number",
"value": "5.0"
},
"left_width": {
"inputType": "number",
"value": "60.1"
},
"right_width": {
"inputType": "number",
"value": "10.1"
}
}
},
"feature_location_threshold": "1",
"newer_ili_id": [
"d0dd7c6b-6c54-4149-b46c-5e5b033fe6dd"
],
"older_ili_id": [
"514167e0-f197-4edb-a382-f8db9b048613"
],
"org_id": "2cbfe270-d195-48ad-aed1-24145924635c",
"orientation_threshold": "20",
"pipeline_id": [
"01966d47-1d4c-7751-a1f1-0617caa3a00d"
],
"project_id": "680b61b0aedd6f9e639d8699",
"surface_location_criteria": "matching",
"upstream_girth_threshold": "0.05",
"weld_location_threshold": "9"
}

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use fathom_function::{forms::TableCellValue, tracing};
use pipeline_application::{
application::{
Application, AsF64, ContinuousScoreMatcher, IliComparisonOutput,
SurfaceLocationCriteria as SLC, TwoSidedContinuousScorer,
},
serialization::{serialize_meter, serialize_orientation_min},
units::{frequency::percent_per_year, velocity::millimeter_per_year},
};
use uom::si::f64::{Angle, Frequency, Length, Velocity};
use uuid::Uuid;
#[fathom_function::function]
async fn ili_comparison(input: Input) -> Result<Output, String> {
let mut output = Output::new(input.org_id, &input.project_id);
let app = Application::new_from_compile_env(input.org_id, &input.project_id).unwrap();
for ((previous_id, newer_id), pipeline_id) in input
.older_ili_id
.into_iter()
.zip(input.newer_ili_id)
.zip(input.pipeline_id)
{
let result = app
.ili_comparison(
pipeline_id,
previous_id,
newer_id,
ContinuousScoreMatcher::from(&input.criteria),
)
.await
.map_err(|err| {
tracing::error!(
%pipeline_id, %newer_id, %previous_id, ?err,
"Error running comparison algorithm"
);
format!("{err:?}")
})?;
output.push_result(pipeline_id, result);
}
Ok(output)
}
#[derive(Debug, serde::Serialize, Default)]
struct Output {
// TODO: remove org_id and project_id once function outputs from previous
// nodes are all visible in downstream nodes (FTHM-11016).
org_id: Uuid,
project_id: String,
pipeline_ids: Vec<Uuid>,
matched_ids: Vec<Uuid>,
unmatched_ids: Vec<Uuid>,
summary_ids: Vec<Uuid>,
}
impl Output {
fn new(org_id: Uuid, project_id: impl ToString) -> Self {
Self {
org_id,
project_id: project_id.to_string(),
..Default::default()
}
}
fn push_result(&mut self, pipeline_id: Uuid, ili_comparison_result: IliComparisonOutput) {
self.pipeline_ids.push(pipeline_id);
self.matched_ids.push(ili_comparison_result.matched_id);
self.unmatched_ids.push(ili_comparison_result.unmatched_id);
self.summary_ids.push(ili_comparison_result.summary_id);
}
}
#[derive(Debug, serde::Deserialize)]
struct Input {
org_id: Uuid,
project_id: String,
pipeline_id: Vec<Uuid>,
older_ili_id: Vec<Uuid>,
newer_ili_id: Vec<Uuid>,
#[serde(flatten)]
criteria: Criteria,
}
#[derive(Debug, serde::Deserialize)]
struct Criteria {
#[serde(with = "serialize_meter")]
weld_location_threshold: Length,
#[serde(with = "serialize_meter")]
feature_location_threshold: Length,
#[serde(with = "serialize_meter")]
upstream_girth_threshold: Length,
#[serde(with = "serialize_orientation_min")]
orientation_threshold: Angle,
anomaly_size: AnomalySizeCriteria,
surface_location_criteria: SurfaceLocationCriteria,
}
#[derive(Debug, serde::Deserialize)]
struct AnomalySizeCriteria {
depth: SizeCriteria<TableCellValue>,
length: SizeCriteria<TableCellValue>,
}
#[derive(Debug, serde::Deserialize)]
struct SizeCriteria<T> {
left_width: T,
center: T,
right_width: T,
}
impl SizeCriteria<TableCellValue> {
fn transform<T>(&self, f: impl Fn(f64) -> T) -> Option<SizeCriteria<T>> {
Some(SizeCriteria {
left_width: Option::<f64>::try_from(&self.left_width).ok()?.map(&f)?,
center: Option::<f64>::try_from(&self.center).ok()?.map(&f)?,
right_width: Option::<f64>::try_from(&self.right_width).ok()?.map(&f)?,
})
}
}
impl<T> From<SizeCriteria<T>> for TwoSidedContinuousScorer<T>
where
T: AsF64 + Default,
{
fn from(value: SizeCriteria<T>) -> Self {
TwoSidedContinuousScorer::default()
.with_left_width(value.left_width)
.with_center(value.center)
.with_right_width(value.right_width)
}
}
#[derive(Debug, Clone, Copy, serde::Deserialize)]
#[serde(rename_all = "snake_case")]
enum SurfaceLocationCriteria {
Matching,
Any,
}
impl From<SurfaceLocationCriteria> for SLC {
fn from(value: SurfaceLocationCriteria) -> Self {
match value {
SurfaceLocationCriteria::Matching => Self::Matching,
SurfaceLocationCriteria::Any => Self::Any,
}
}
}
impl From<&Criteria> for ContinuousScoreMatcher {
fn from(value: &Criteria) -> Self {
let length = value
.anomaly_size
.length
.transform(Velocity::new::<millimeter_per_year>)
.map(TwoSidedContinuousScorer::from);
let depth = value
.anomaly_size
.depth
.transform(Frequency::new::<percent_per_year>)
.map(TwoSidedContinuousScorer::from);
ContinuousScoreMatcher::default()
.with_weld_location_threshold(value.weld_location_threshold)
.with_feature_location_threshold(value.feature_location_threshold)
.with_upstream_girth_threshold(value.upstream_girth_threshold)
.with_orientation_threshold(value.orientation_threshold)
.with_depth_scorer(depth)
.with_length_scorer(length)
.with_surface_location_criteria(value.surface_location_criteria)
}
}