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1f7bbc122b |
3424
Cargo.lock
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3424
Cargo.lock
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Cargo.toml
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Cargo.toml
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[package]
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edition = "2024"
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name = "web"
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version = "0.1.0"
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[dependencies]
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fathom-function = { git = "ssh://git@github.com/fathom-io/pipeline-calculations.git", branch = "main" }
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pipeline-application = { git = "ssh://git@github.com/fathom-io/pipeline-calculations.git", branch = "main" }
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serde = { version = "1.0.219", features = ["derive"] }
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tokio = { version = "1.43.0", features = ["macros", "rt-multi-thread"] }
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uom = { version = "0.36" }
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uuid = { version = "1" }
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84
README.md
84
README.md
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# 9d55abdb2b20476ba5aaa96318ec2a4d
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# Dynamic segmentation function
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The ILI Comparison module is a valuable tool designed to compare anomalies found in two
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separate ILIs of the same pipeline. This module operates on an intelligent method that
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incorporates user-defined criteria to ensure precision in the comparison process. The workflow
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of this module begins with a girth-weld alignment step, which is crucial for identifying and
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aligning the correct girth welds from the two in-line inspection reports. In this case, the
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girth-weld alignment is applied to ILI reports conducted on 2011-06-01 and 2015-12-21, ensuring
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accurate alignment between the inspections. Both ILIs were performed by Rosen using the MFL
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(Magnetic Flux Leakage) technology.
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Subsequently, the module matches metal loss corrosion anomalies based on the user's specified
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criteria. This matching process evaluates the evolution of anomalies over a 5.5-year interval,
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the time gap between the two ILIs. The output includes detailed reports that categorize the
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results into matched features, matched anomalies, unmatched features, and unmatched anomalies.
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In its final output, the module generates a comprehensive KPI Dashboard that showcases the
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percentage of matched anomalies, providing users with an overview of the comparison results.
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Furthermore, six charts visually illustrate the growth of matched anomalies over the 5.5-year
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time interval between the two inspections. These visualizations provide valuable insights into
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how anomalies have evolved and help users track changes in pipeline integrity over time.
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In addition, the validated results from this module are used in the Local Growth Rate Module
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for calculating the Final ACR and conducting future integrity assessments. The ILI Comparison
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module, through the integration of historical and recent inspection data, offers an essential
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framework for monitoring pipeline conditions and supporting maintenance decisions.
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## Input
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### Arguments
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- `org_id`: as string which should be a valid `uuid` for the organization
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- `project_id`: the id of the data project where the pipeline data is found
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- `pipeline_id`: a `array` of string values representing a valid `uuid` for a pipeline
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- `older_ili_id`: a `array` of string values representing a valid `uuid` for an ili report sequence
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- `newer_ili_id`: a `array` of string values representing a valid `uuid` for an ili report sequence
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- `weld_location_threshold`: a `float` value
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- `feature_location_threshold`: a `float` value
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- `upstream_girth_threshold`: a `float` value
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- `orientation_threshold`: a `float` value
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- `minimum_depth_growth_threshold`: a `float` value
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- `minimum_length_growth_threshold`: a `float` value
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- `surface_location_criteria`: an array of `string` each value should be one of
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- `matching`
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- `any`
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- `target_minimum_match_rate`: a `float` value
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## Creating the function on the platform
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To create this function on the platform using the `cli` set up the port forwarding as shown in README.
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Then run the following command to create the function.
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```bash
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cargo run functions create \
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-f functions/ili_comparison \
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-d "Compare two ILI reports" \
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-i org_id=string \
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-i project_id=string \
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-i pipeline_id=array \
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-i older_ili_id=array \
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-i newer_ili_id=array \
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-i weld_location_threshold=float \
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-i upstream_girth_threshold=float \
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-i feature_location_threshold=float \
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-i orientation_threshold=float \
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-i minimum_depth_growth_threshold=float \
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-i minimum_length_growth_threshold=float \
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-i surface_location_criteria=string \
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-i target_minimum_match_rate=float
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```
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## Testing the function locally
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You can run and test the function locally by running
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```bash
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cargo run
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```
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Then you can check it work with `curl` as follows
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```bash
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curl localhost:8080 -d $(jq '. | tojson' functions/ili_comparison/example_input.json)
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```
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21
example_input.json
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example_input.json
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{
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"feature_location_threshold": "5",
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"minimum_depth_growth_threshold": "0",
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"minimum_length_growth_threshold": "-2",
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"newer_ili_id": [
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"d0dd7c6b-6c54-4149-b46c-5e5b033fe6dd"
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],
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"older_ili_id": [
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"514167e0-f197-4edb-a382-f8db9b048613"
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],
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"org_id": "2cbfe270-d195-48ad-aed1-24145924635c",
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"orientation_threshold": "15",
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"pipeline_id": [
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"01966d47-1d4c-7751-a1f1-0617caa3a00d"
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],
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"project_id": "680b61b0aedd6f9e639d8699",
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"surface_location_criteria": "matching",
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"target_minimum_match_rate": "25",
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"upstream_girth_threshold": "0.05",
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"weld_location_threshold": "9"
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}
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101
src/main.rs
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use fathom_function::tracing;
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use pipeline_application::{
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application::{Application, MatchingCriteria, SurfaceLocationCriteria as SLC},
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serialization::{
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serialize_meter, serialize_millimeter, serialize_orientation_min, serialize_percent,
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},
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};
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use uom::si::f64::{Angle, Length, Ratio};
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use uuid::Uuid;
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#[fathom_function::function]
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async fn ili_comparison(input: Input) -> Result<Output, String> {
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let app = Application::new_from_compile_env(input.org_id, input.project_id).unwrap();
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for ((previous_id, newer_id), pipeline_id) in input
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.older_ili_id
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.into_iter()
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.zip(input.newer_ili_id)
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.zip(input.pipeline_id)
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{
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app.ili_comparison(pipeline_id, previous_id, newer_id, &input.criteria)
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.await
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.map_err(|err| {
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tracing::error!(
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%pipeline_id, %newer_id, %previous_id, ?err,
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"Error running comparison algorithm"
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);
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format!("{err:?}")
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})?;
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}
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Ok(Output {
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status: "Success".to_owned(),
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})
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}
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#[derive(Debug, serde::Serialize)]
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struct Output {
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status: String,
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}
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#[derive(Debug, serde::Deserialize)]
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struct Input {
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org_id: Uuid,
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project_id: String,
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pipeline_id: Vec<Uuid>,
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older_ili_id: Vec<Uuid>,
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newer_ili_id: Vec<Uuid>,
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#[serde(flatten)]
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criteria: Criteria,
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}
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#[derive(Debug, serde::Deserialize)]
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struct Criteria {
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#[serde(with = "serialize_meter")]
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weld_location_threshold: Length,
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#[serde(with = "serialize_meter")]
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feature_location_threshold: Length,
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#[serde(with = "serialize_meter")]
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upstream_girth_threshold: Length,
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#[serde(with = "serialize_orientation_min")]
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orientation_threshold: Angle,
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#[serde(with = "serialize_percent")]
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minimum_depth_growth_threshold: Ratio,
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#[serde(with = "serialize_millimeter")]
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minimum_length_growth_threshold: Length,
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surface_location_criteria: SurfaceLocationCriteria,
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#[serde(with = "serialize_percent")]
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target_minimum_match_rate: Ratio,
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}
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#[derive(Debug, Clone, Copy, serde::Deserialize)]
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#[serde(rename_all = "snake_case")]
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enum SurfaceLocationCriteria {
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Matching,
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Any,
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}
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impl From<SurfaceLocationCriteria> for SLC {
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fn from(value: SurfaceLocationCriteria) -> Self {
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match value {
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SurfaceLocationCriteria::Matching => Self::Matching,
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SurfaceLocationCriteria::Any => Self::Any,
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}
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}
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}
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impl From<&Criteria> for MatchingCriteria {
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fn from(value: &Criteria) -> Self {
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MatchingCriteria::default()
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.with_weld_location_threshold(value.weld_location_threshold)
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.with_feature_location_threshold(value.feature_location_threshold)
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.with_upstream_girth_threshold(value.upstream_girth_threshold)
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.with_orientation_threshold(value.orientation_threshold)
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.with_minimum_depth_growth_threshold(value.minimum_depth_growth_threshold)
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.with_minimum_length_growth_threshold(value.minimum_length_growth_threshold)
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.with_surface_location_criteria(value.surface_location_criteria)
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.with_target_minimum_match_rate(value.target_minimum_match_rate)
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}
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}
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