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8a43dbfc8d |
3535
Cargo.lock
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3535
Cargo.lock
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11
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 = "johnabell/ili-comparison" }
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pipeline-application = { git = "ssh://git@github.com/fathom-io/pipeline-calculations.git", branch = "johnabell/ili-comparison" }
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pipeline-configuration = { git = "ssh://git@github.com/fathom-io/pipeline-calculations.git", branch = "johnabell/ili-comparison" }
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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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README.md
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README.md
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# 3f53356939814db88b6fd717726770d1
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# Dynamic segmentation function
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A function that exposes the dynamic segmentation algorithm for the pipeline use
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case.
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This function will recompute the segmentation for all pipelines based on the
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provided segmentation configuration
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Segmentation is the process of taking local data, crossings, and facilities on
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the pipeline and creating pipeline segments where this local data changes (a
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cut line).
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In fathom we support dynamic segmentation where the user is able to configure
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the properties they would like to consider when segmentizing and to support
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re-segmentizing the pipeline at any point such as when new data is available
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from an ILI report.
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Segmentation can be dynamically configured to consider the following properties
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- pipeline diameter (currently required)
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- wall thickness (currently required)
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- material grade
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- coating type
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- design factor
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- high consequence area
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- unusual sensitive area
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- join type
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- soil type
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- soil ph
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Additionally the following crossing types can be considered
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- Road
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- River
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- Railroad
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- Overhead
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- Highway
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- Pipeline
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Finally, the following facilities can also be used to create cut lines
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- Valves
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- Insulation joints
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- Repairs
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The user is able to configure which the the local properties and which of the
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crossing and facility types they would like to consider for creating the
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segmentation. For the purpose of the analytics required later in the process we
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require the user segments on diameter and wall thickness. The other properties
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are optional.
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## Example
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```none
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diameter ├──────────────────────────┼────────────────────────────────────┤
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40 inch 42 inch
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wall thickness ├───────┼─────────────────────────────────────────────────┼─────┤
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12.0 9.0 12.0
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material grade ├──────────────────────────┼──────────────────────────────┼─────┤
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L290 L320
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design factor ├─────────────────────────────────────────────────────────┼─────┤
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L72
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road crossing ├──┤ ├──┤
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river crossing ├──┤ ├──┤
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valve │ │
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repair ├─┤
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segments ├─┼──┼──┼──────────┼──┼────┼────┼─┼──────────┼──┼──┼──┼───┼──┼──┤
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
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```
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## Input
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### Arguments
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- `facilities`: an array of `string` each valve should be one of
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- `insulation_joint`
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- `repair`
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- `valve`.
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- `crossings`: TODO
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- `local_data`: an array of `string` each value should be one of
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- `material_grade`
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- `coating_type`
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- `design_factor`
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- `high_consequence_area`
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- `unusual_sensitive_area`
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- `joint_type`
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- `soil_type`
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- `soil_ph`
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### Environment
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- `ORG_ID`: the organization id
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- `PROJECT_ID`: the id of the data project where the pipeline data is found
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- `ENV`: the environment of the platform e.g. `dev` or `stg` etc.
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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 -X POST localhost:8080 -v \
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-d "\"{\\\"facilities\\\": [\\\"repair\\\"], \\\"formData\\\": {\\\"facilities\\\": [\\\"repairs\\\"], \\\"localProperties\\\": [\\\"material_grade\\\", \\\"coating_type\\\", \\\"soil_type\\\", \\\"soil_ph\\\"]}, \\\"input\\\": null, \\\"local_data\\\": [\\\"material_grade\\\", \\\"coating_type\\\", \\\"soil_type\\\", \\\"soil_ph\\\"]}\""
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```
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53
src/main.rs
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src/main.rs
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use fathom_function::Context;
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use pipeline_application::application::{Application, SegmentationConfiguration};
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use pipeline_configuration::facilities::FacilityType;
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#[fathom_function::function(default(
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org_id = "2cbfe270-d195-48ad-aed1-24145924635c",
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project_id = "6807aed617c4295ab4a6aa78"
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))]
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async fn segment(context: Context, args: Args) -> Result<String, String> {
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Application::new(context.env, context.org_id, context.project_id)
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.unwrap()
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.segment_all(args)
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.await
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.map_err(|err| err.to_string())?;
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Ok("Success".to_string())
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}
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#[derive(Debug, serde::Deserialize)]
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struct Args {
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facilities: Vec<FacilityType>,
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local_data: Vec<String>,
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}
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impl From<Args> for SegmentationConfiguration {
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fn from(value: Args) -> Self {
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let mut config = Self::default_false();
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for fac in value.facilities {
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config = match fac {
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FacilityType::InsulationJoint => config.by_insulation_joints(true),
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FacilityType::Repair => config.by_repairs(true),
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FacilityType::Valve => config.by_valves(true),
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_ => config,
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};
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}
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// TODO: add crossing configuration
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for loc in value.local_data {
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config = match loc.as_str() {
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"material_grade" => config.by_material_grade(true),
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"coating_type" => config.by_coating_type(true),
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"design_factor" => config.by_design_factor(true),
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"high_consequence_area" => config.by_high_consequence_area(true),
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"unusual_sensitive_area" => config.by_unusual_sensitive_area(true),
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"joint_type" => config.by_joint_type(true),
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"soil_type" => config.by_soil_type(true),
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"soil_ph" => config.by_soil_ph(true),
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_ => config,
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}
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}
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config
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}
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}
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