44 lines
1.3 KiB
Markdown
44 lines
1.3 KiB
Markdown
# Linear regression growth prediction
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The objective of this calculation is to derive the expected length and depth of anomalies at a
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particular date in the future (the target_date) for each matched anomaly in the pipeline.
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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`: an `array` of `strings` which should each be a valid uuid representing a pipeline.
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- `target_date`: a `string` representing the date for which the corrosion growth rate should be predicted.
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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/acr_linear_regression \
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-d "Run the linear regression prediction calculation" \
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-i org_id=string \
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-i project_id=string \
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-i target_date=string \
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-i pipeline_id=array
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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/acr_linear_regression/example_input.json)
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```
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