| spec_version: 1 | |
| name: flood_ops | |
| type: space | |
| runtime: fastapi | |
| app: flood_openenv.server:app | |
| port: 7860 | |
| description: Run the U.S. Army Corps of Engineers' four flood-control dams on the Cumberland River above Nashville (Wolf Creek, Dale Hollow, Center Hill, J. Percy Priest) through the real February and April 2025 floods, rebuilt from the USACE and USGS record, with the NWS flood stages at Burkesville, Celina and Nashville. Set each dam's release every 6 hours within release, ramp and pool limits; graded once on submit against the exact LP optimum. | |
| version: "0.1.0" | |
| variables: | |
| FLOOD_TASKS_DIR: "" # colon-separated pack directories; defaults to every pack in tasks/ | |
| FLOOD_MAX_CHECKS: "10" | |
| FLOOD_MAX_TOOL_CALLS: "24" | |
| MAX_CONCURRENT_ENVS: "64" | |
| validation: | |
| reward: | |
| range: [0.0, 1.0] | |
| # oracle/solve.py submits the LP optimum and scores exactly 1.0; any rule broken scores < 0.2 | |
| oracle_tolerance: 0.001 | |
| resources: | |
| cpu: 1.0 | |
| memory_mb: 1024 | |
| disk_mb: 512 | |
| episode_timeout_s: 3600.0 | |
| network: | |
| mode: no-network | |
| capabilities: | |
| verifier: | |
| kind: reward_channel | |
| oracle: | |
| form: script | |
| location: oracle/solve.py | |
| rubric_tree: true | |
| task_api: true | |
| declared_tools: [get_situation, check_plan, submit_plan] | |
| types: | |
| tags: [simulation, water-resources, flood-control, reservoir-operations, operations-research, mcp, real-world-data] | |