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.
What you are building
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
Use synthetic records. Do not diagnose water safety, recommend chemical doses, or operate equipment. Use mock external writes and human review.
How work is evaluated
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.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
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.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
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.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Reading timeline, sample request queue, laboratory attachment panel, and engineer review export.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Use synthetic records. Do not diagnose water safety, recommend chemical doses, or operate equipment.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Learning goals
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
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
Challenge input
Input details are not configured.
Haystack
Framework
Evaluated output
No output checks are configured.
- 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.
- 2 public reference cases
- 1 configured tool
Shows the first task, up to three tools, and up to three evidence items.
View technical recipe
Configured tools
- 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.