Back to Prompt Library
implementation
Build the application
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build a Port-Adjacent Hauler Appointment Rescheduler and Weather Delay Planner
Format
Code-aware
Lines
68
Sections
11
Linked challenge
Build a Port-Adjacent Hauler Appointment Rescheduler and Weather Delay Planner
Prompt source
Original prompt text with formatting preserved for inspection.
68 lines
11 sections
No variables
1 code block
## Build
Monitor Singapore real-time rainfall data to reschedule hauler container collection slots at port terminals. Calculate slipway congestion risks and balance driver shifts across alternative pickup intervals.
## User
Fleet Logistics Dispatcher
## Workflow
1. Ingest terminal hauler appointment rosters and container pickup deadlines for PSA terminals.
2. Fetch real-time rainfall and storm warning telemetry from data.gov.sg weather APIs.
3. Compute rain-induced transit delays and gate buffer windows for heavy transport vehicles.
4. Propose non-conflicting appointment rescheduling slots and notify carrier drivers via formatted alerts.
## Interface
A dynamic dispatch timetable showing rain radar overlays, slot utilization gauges, and side-by-side rescheduled appointment proposals.
## Data
Query data.gov.sg real-time weather rainfall endpoints combined with synthetic prime mover schedules in CSV format.
Starter examples below are synthetic. They are not downloaded records.
## Source
[Singapore open data API](https://guide.data.gov.sg/developer-guide/api-overview)
Extract real-time weather APIs from data.gov.sg to calculate heavy transport travel delay allowances.
## Tools
dspy, fastapi, pandas.
DSPy compiles robust prompt programs to negotiate optimal schedule adjustments under hard boundary constraints.
Local or hosted LLM with strong constraint satisfaction capabilities.
## Deliverables
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.
## Acceptance
- Polls live Singapore rainfall APIs to flag heavy weather conditions above 15mm/hr.
- Reschedules terminal pickup slots without violating driver statutory rest limits.
- Produces updated fleet dispatch schedules with verified slot adjustments.
- Maintains zero overlapping gate appointments for identical container transport chassis.
## Starter Examples
```json
[
{
"input": {
"vehicle_id": "PM-104",
"current_slot": "2025-05-02T15:00:00+08:00",
"terminal": "Pasir Panjang Terminal 3",
"route_rainfall_mm": 28.5,
"driver_max_hours_remaining": 4.5
},
"expected_output": {
"reschedule_recommended": true,
"revised_slot": "2025-05-02T16:15:00+08:00",
"weather_delay_allowance_min": 45,
"driver_compliance_verified": true,
"alert_message": "Slot rescheduled due to severe monsoon rain near Pasir Panjang corridor."
}
},
{
"input": {
"vehicle_id": "PM-202",
"current_slot": "2025-05-02T15:00:00+08:00",
"terminal": "Tuas Port Phase 1",
"route_rainfall_mm": 2,
"driver_max_hours_remaining": 6
},
"expected_output": {
"reschedule_recommended": false,
"revised_slot": "2025-05-02T15:00:00+08:00",
"weather_delay_allowance_min": 0,
"driver_compliance_verified": true,
"alert_message": "Weather normal. Proceed with scheduled pickup window."
}
}
]
```
## Safety
Coordinates internal fleet scheduling; does not submit automated binding requests to actual port authority systems.
Use mock external writes. Require human review before any real deployment.Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.