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Linked challenge: Build a Public Weather Assisted Port Delivery Route Planner
Format
Code-aware
Lines
77
Sections
11
Linked challenge
Build a Public Weather Assisted Port Delivery Route Planner
Prompt source
Original prompt text with formatting preserved for inspection.
77 lines
11 sections
No variables
1 code block
## Build
Correlate Singapore open real-time weather readings with heavy vehicle delivery schedules across port corridors. Reschedule hauler dispatches around high-intensity rain events to prevent terminal roadway gridlock.
## User
Container drayage dispatch controller
## Workflow
1. Fetch real-time station rainfall data from the Singapore Open Data API.
2. Ingest scheduled container pickup itineraries between Jurong industrial hubs and PSA terminals.
3. Identify high-precipitation corridors exceeding heavy vehicle safety thresholds.
4. Reorder hauler dispatch sequences and output revised driver slot assignments.
## Interface
Map-based corridor dashboard displaying real-time rainfall overlays, truck queue estimates, and a schedule rebalancing queue.
## Data
Query public real-time rainfall endpoints on data.gov.sg or mock the endpoint using recorded monsoon season precipitation matrices.
Starter examples below are synthetic. They are not downloaded records.
## Source
[Singapore open data API](https://guide.data.gov.sg/developer-guide/api-overview)
Consumes the data.gov.sg real-time weather API structure to query rainfall observations across Singapore monitoring stations.
## Tools
langgraph, httpx, fastapi.
LangGraph manages stateful routing decisions and loop-back verification when rescheduling drayage runs.
Efficient local or API LLM capable of evaluating route constraint graphs and generating driver itineraries.
## 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
- Queries data.gov.sg real-time rainfall data format and identifies stations with heavy rain (>20mm/h).
- Delays dispatch times for trucks traversing high-rainfall sectors by at least 45 minutes.
- Exports a rebalanced schedule preserving total daily terminal appointment quotas.
## Starter Examples
```json
[
{
"input": {
"route_id": "R-PSA-JURONG-01",
"truck_id": "XD1234A",
"planned_departure": "2025-06-01T14:00:00Z",
"station_readings": [
{
"station_id": "S44",
"area": "Jurong West",
"precipitation_mm": 35.5
}
],
"terminal_slot": "2025-06-01T15:00:00Z"
},
"expected_output": {
"action": "RESCHEDULE_DEPARTURE",
"revised_departure": "2025-06-01T14:45:00Z",
"hazard_level": "HIGH_RAIN",
"slot_adjusted": true
}
},
{
"input": {
"route_id": "R-PSA-CHANGI-02",
"truck_id": "XD5678B",
"planned_departure": "2025-06-01T14:00:00Z",
"station_readings": [
{
"station_id": "S107",
"area": "East Coast",
"precipitation_mm": 2
}
],
"terminal_slot": "2025-06-01T15:00:00Z"
},
"expected_output": {
"action": "PROCEED_AS_PLANNED",
"revised_departure": "2025-06-01T14:00:00Z",
"hazard_level": "CLEAR",
"slot_adjusted": false
}
}
]
```
## Safety
Does not control prime mover navigation hardware; provides advisory schedule recommendations to human controllers.
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.