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Challenge

Build a Desalination Intake Sampling and Lab Follow-Up Workspace

Turn unusual intake readings into proposed sampling visits and laboratory evidence requests. Track unresolved samples and prepare review packets without diagnosing algal blooms or recommending chemical doses.

EngineeringHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Turn unusual intake readings into proposed sampling visits and laboratory evidence requests. Track unresolved samples and prepare review packets without diagnosing algal blooms or recommending chemical doses.

Desalination Environmental Compliance Engineer

Import synthetic intake readings and fictional sampling thresholds.

Identify exceedances and prepare sampling requests with cited readings.

Track sample collection, laboratory evidence, and unresolved follow-up tasks.

Export an intake review packet without operational commands.

Reading timeline, sample request queue, laboratory attachment panel, and engineer review export.

Create normalized synthetic readings, fictional sampling thresholds, sample identifiers, and laboratory records. These are not measured GCC data. Starter examples below are synthetic. They are not downloaded records.

WaterTAP treatment modeling WaterTAP documents treatment modeling. This application prepares evidence for later modeling, without deriving organic loads or chemical doses.

haystack, pydantic, fastapi. Haystack retrieves linked sample evidence. Deterministic rules create requests from supplied thresholds. Use a currently available model for evidence-linked summaries, not water-quality diagnosis.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Uses thresholds supplied with each fixture.

Creates a request when either supplied threshold is exceeded.

Shows missing laboratory evidence instead of diagnosing blooms.

Exports evidence packets and pending tasks.

```json [ { "input": { "intake_id": "A", "chlorophyll_ug_l": 15.5, "turbidity_ntu": 8, "fictional_thresholds": { "chlorophyll_ug_l": 10, "turbidity_ntu": 5 }, "lab_evidence": [] }, "expected_output": { "sampling_request_proposed": true, "exceeded_fields": [ "chlorophyll_ug_l", "turbidity_ntu" ], "bloom_status": "unverified", "chemical_dose_recommendation": null, "approval_required": true } }, { "input": { "intake_id": "B", "chlorophyll_ug_l": 1.2, "turbidity_ntu": 1.5, "fictional_thresholds": { "chlorophyll_ug_l": 10, "turbidity_ntu": 5 }, "lab_evidence": [] }, "expected_output": { "sampling_request_proposed": false, "exceeded_fields": [], "bloom_status": "unverified", "chemical_dose_recommendation": null, "approval_required": true } } ] ```

Use synthetic records. Do not diagnose water safety, recommend chemical doses, or operate equipment. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Use synthetic records. Do not diagnose water safety, recommend chemical doses, or operate equipment. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Uses thresholds supplied with each fixture. Creates a request when either supplied threshold is exceeded. Shows missing laboratory evidence instead of diagnosing blooms. Exports evidence packets and pending tasks.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

Complete workflow

Import synthetic intake readings and fictional sampling thresholds. Identify exceedances and prepare sampling requests with cited readings. Track sample collection, laboratory evidence, and unresolved follow-up tasks. Export an intake review packet without operational commands.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

Correctness and evidence

Uses thresholds supplied with each fixture. Creates a request when either supplied threshold is exceeded. Shows missing laboratory evidence instead of diagnosing blooms. Exports evidence packets and pending tasks.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Reading timeline, sample request queue, laboratory attachment panel, and engineer review export.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Use synthetic records. Do not diagnose water safety, recommend chemical doses, or operate equipment.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Import synthetic intake readings and fictional sampling thresholds.

  • Identify exceedances and prepare sampling requests with cited readings.

  • Track sample collection, laboratory evidence, and unresolved follow-up tasks.

  • Export an intake review packet without operational commands.

Resources and assets

Reference links and supporting material

Dataset notes

Create normalized synthetic readings, fictional sampling thresholds, sample identifiers, and laboratory records. These are not measured GCC data. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Haystack

Framework

Evaluated output

No output checks are configured.

Evaluation checks
  • Import synthetic intake readings and fictional sampling thresholds. Identify exceedances and prepare sampli...
  • Uses thresholds supplied with each fixture. Creates a request when either supplied threshold is exceeded. S...
  • Reading timeline, sample request queue, laboratory attachment panel, and engineer review export.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 1 configured tool

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • Haystack · Optional

Evaluation contract

  • Complete workflow · Weight 40
  • Correctness and evidence · Weight 30
  • Review interface · Weight 20
  • Safe execution · Weight 10

Reference cases

  • 2 public reference cases

Workflow tasks

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Desalination Intake Sampling and Lab Follow-Up Workspace