Automatic push from FunctionsAPI

Cargo.toml

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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 = "FTHM-12741/adnoc-ingestion" }
+  pipeline-application = { git = "ssh://git@github.com/fathom-io/pipeline-calculations.git", branch = "FTHM-12741/adnoc-ingestion" }
+  serde                = { version = "1.0.219", features = ["derive"] }
+  tokio                = { version = "1.43.0", features = ["macros", "rt-multi-thread"] }
+  uuid                 = { version = "1" }

README.md

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-# a914f638ec944580ad3b74b0624f3fdd
+# Runs the ILI clustering algorithm
 
+Clustering criteria for pipeline defects refer to the guidelines or criteria that are used to
+determine whether a group of defects in a pipeline should be considered a "cluster." These
+criteria are typically based on a combination of factors, including the size, location, and
+severity of the defects, as well as the spacing between them.
+There are several different clustering criteria that can be used for pipeline defects,
+depending on the specific context and application. Some common clustering criteria include:
+
+- *Percentage of wall loss*: This criterion considers the percentage of the pipeline wall that has
+  been lost due to corrosion or other defects. A group of defects that collectively represent a
+  certain percentage of wall loss (e.g., 10%) may be considered a cluster.
+- *Spacing between defects*: This criterion considers the distance between individual defects in a
+  pipeline. If the spacing between defects falls below a certain threshold (e.g., 1 meter), they
+  may be considered a cluster.
+- *Geographic location*: This criterion considers the geographic location of defects within a
+  pipeline. If defects are clustered within a certain area of the pipeline (e.g., a bend or a
+  weld), they may be considered a cluster.
+- *Severity of defects*: This criterion considers the severity or consequence of individual
+  defects. If a group of defects collectively represent a significant risk of failure or leakage,
+  they may be considered a cluster.
+
+Pipeline operators typically use clustering criteria as part of their inspection and
+maintenance programs to identify and prioritize areas of the pipeline that require attention.
+By identifying and addressing clusters of defects, operators can help prevent failures and
+ensure the safe and reliable operation of their pipelines.
+
+Examining the clustering of pipeline defects is a crucial aspect of pipeline integrity
+management. This involves evaluating the spacing between defects in a pipeline to determine the
+likelihood of larger defects clustering together. Specific conditions must be met for this
+distance to be considered acceptable. If these conditions are met, the possibility of defect
+clustering cannot be overlooked.
+
+## Clustering rules
+
+Rules are used to configure the clustering algorithm. There are 11 standard rules and then a 12th custom rule.
+
+Each rule is based on a length and circumferential criteria. If any two anomalies have a horizontal
+separation less than the length criteria and a circumferential separation less than the circumferential
+criteria the should be clustered.
+
+The rules are details in the table below.
+
+| Rule no. | Length Criteria                             | Circumferential Criteria                    |
+| -------- | ------------------------------------------- | ------------------------------------------- |
+| Rule 1   | Minimum (L1,L2)                             | Minimum (W1,W2)                             |
+| Rule 2   | Minimum (6*wall thickness, Minimum (L1,L2)) | Minimum (6*wall thickness, Minimum (W1,W2)) |
+| Rule 3   | Minimum (wall thickness, Minimum (L1,L2))   | Minimum (wall thickness, Minimum (W1,W2))   |
+| Rule 4   | Minimum (L1,L2)                             | Minimum (wall thickness, Minimum (W1,W2))   |
+| Rule 5   | Average (L1,L2)                             | Average (W1,W2)                             |
+| Rule 6   | Wall thickness                              | Wall thickness                              |
+| Rule 7   | 3*Wall thickness                            | 3*Wall thickness                            |
+| Rule 8   | 2*Minimum (L1,L2)                           | 2*Minimum (W1,W2)                           |
+| Rule 9   | Minimum (6*wall thickness, Average (L1,L2)) | Minimum (6*wall thickness, Average (W1,W2)) |
+| Rule 10  | 1 inch = 25.4 mm                            | 6*wall thickness                            |
+| Rule 11  | 1 inch = 25.4 mm                            | (3 × MAOP × OD) / (SF × SMYS × WJF)         |
+| Rule 12  | User Configurations                         | User Configurations                         |
+
+
+## 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`: an `array` of `strings` which should be valid UUIDs for pipelines
+- `size_settings`: a string representing the size setting for clustering, possible values
+  - `original`
+  - `tolerance`
+- `interaction`: a string representing the interaction setting for clustering, possible values
+  - `enabled`
+  - `disabled`
+- `surface_location`: a string representing the surface location setting for clustering, possible values
+  - `matching`
+  - `any`
+- `rule`: a string representing the clustering rule to use, possible values
+  - `rule1`
+  - `rule2`
+  - `rule3`
+  - `rule4`
+  - `rule5`
+  - `rule6`
+  - `rule7`
+  - `rule8`
+  - `rule9`
+  - `rule10`
+  - `rule11`
+
+## 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_clustering \
+  -d "Runs the ILI clustering algorithm" \
+  -i org_id=string \
+  -i project_id=string \
+  -i pipeline_id=array \
+  -i ili_id=array \
+  -i size_settings=string \
+  -i interaction=string \
+  -i surface_location=string \
+  -i rule=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_clustering/example_input.json)
+```

example_input.json

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+{
+  "ili_id": [
+    "d0dd7c6b-6c54-4149-b46c-5e5b033fe6dd"
+  ],
+  "interaction": "disabled",
+  "org_id": "2cbfe270-d195-48ad-aed1-24145924635c",
+  "pipeline_id": [
+    "01966d47-1d4c-7751-a1f1-0617caa3a00d"
+  ],
+  "project_id": "680b61b0aedd6f9e639d8699",
+  "rule": "rule1",
+  "size_settings": "original",
+  "surface_location": "matching"
+}

src/main.rs

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+use fathom_function::tracing;
+use pipeline_application::application::{
+    AnomalySizeSetting, Application, ClusteringConfig, Interaction as ClusteringInteraction,
+    Rule as ClusteringRule, SurfaceLocationSensitivity,
+};
+use serde::{Deserialize, Serialize};
+use uuid::Uuid;
+
+#[fathom_function::function]
+async fn ili_clustering(input: Input) -> Result<Output, String> {
+    let app = Application::new_from_compile_env(input.org_id, input.project_id).unwrap();
+
+    for (pipeline_id, ili_id) in input.pipeline_id.into_iter().zip(input.ili_id) {
+        app.ili_clustering(pipeline_id, ili_id, &input.config)
+            .await
+            .map_err(|err| {
+                tracing::error!(%pipeline_id, %ili_id, ?err, "Error running clustering algorithm");
+                format!("{err:?}")
+            })?;
+    }
+
+    Ok(Output {
+        status: "Success".to_owned(),
+    })
+}
+
+#[derive(Debug, Serialize)]
+struct Output {
+    status: String,
+}
+
+#[derive(Debug, Clone, Copy, Deserialize)]
+#[serde(rename_all = "snake_case")]
+enum Rule {
+    Rule1,
+    Rule2,
+    Rule3,
+    Rule4,
+    Rule5,
+    Rule6,
+    Rule7,
+    Rule8,
+    Rule9,
+    Rule10,
+    Rule11,
+}
+
+#[derive(Debug, Clone, Copy, Deserialize)]
+#[serde(rename_all = "snake_case")]
+enum SizeSettings {
+    Original,
+    Tolerance,
+}
+
+#[derive(Debug, Clone, Copy, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum Interaction {
+    Enabled,
+    Disabled,
+}
+
+#[derive(Debug, Clone, Copy, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum SurfaceLocation {
+    Matching,
+    Any,
+}
+
+#[derive(Debug, Deserialize)]
+struct Input {
+    org_id: Uuid,
+    project_id: String,
+    pipeline_id: Vec<Uuid>,
+    ili_id: Vec<Uuid>,
+    #[serde(flatten)]
+    config: Config,
+}
+
+#[derive(Debug, Deserialize)]
+struct Config {
+    size_settings: SizeSettings,
+    interaction: Interaction,
+    surface_location: SurfaceLocation,
+    rule: Rule,
+}
+
+impl From<Rule> for ClusteringRule {
+    fn from(value: Rule) -> Self {
+        match value {
+            Rule::Rule1 => Self::Rule1,
+            Rule::Rule2 => Self::Rule2,
+            Rule::Rule3 => Self::Rule3,
+            Rule::Rule4 => Self::Rule4,
+            Rule::Rule5 => Self::Rule5,
+            Rule::Rule6 => Self::Rule6,
+            Rule::Rule7 => Self::Rule7,
+            Rule::Rule8 => Self::Rule8,
+            Rule::Rule9 => Self::Rule9,
+            Rule::Rule10 => Self::Rule10,
+            Rule::Rule11 => Self::Rule11,
+        }
+    }
+}
+
+impl From<SizeSettings> for AnomalySizeSetting {
+    fn from(value: SizeSettings) -> Self {
+        match value {
+            SizeSettings::Original => Self::Original,
+            SizeSettings::Tolerance => Self::WithTolerance,
+        }
+    }
+}
+
+impl From<SurfaceLocation> for SurfaceLocationSensitivity {
+    fn from(value: SurfaceLocation) -> Self {
+        match value {
+            SurfaceLocation::Matching => Self::Matching,
+            SurfaceLocation::Any => Self::Any,
+        }
+    }
+}
+
+impl From<Interaction> for ClusteringInteraction {
+    fn from(value: Interaction) -> Self {
+        match value {
+            Interaction::Enabled => Self::Enabled,
+            Interaction::Disabled => Self::Disabled,
+        }
+    }
+}
+
+impl From<&Config> for ClusteringConfig {
+    fn from(value: &Config) -> Self {
+        Self {
+            interaction: value.interaction.into(),
+            surface_location: value.surface_location.into(),
+            size_settings: value.size_settings.into(),
+            rule: value.rule.into(),
+        }
+    }
+}