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c6b21de 2dd815b c6b21de 2dd815b c6b21de | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 | from __future__ import annotations
import os
from dataclasses import asdict
from typing import Literal, Optional
from fastapi import FastAPI
from pydantic import BaseModel, Field
try:
from ..envs.disaster_env import (
DisasterAction,
DisasterEnvironment,
DisasterObservation,
DisasterState,
)
from ..models.telemetry import (
TelemetryGridSnapshot,
WearableTelemetryEnvelope,
WearableTelemetrySignal,
)
except ImportError:
from disaster_sim.envs.disaster_env import (
DisasterAction,
DisasterEnvironment,
DisasterObservation,
DisasterState,
)
from disaster_sim.models.telemetry import (
TelemetryGridSnapshot,
WearableTelemetryEnvelope,
WearableTelemetrySignal,
)
class ResetRequest(BaseModel):
seed: Optional[int] = None
episode_id: Optional[str] = None
class StepRequest(BaseModel):
interaction: Literal["dispatch", "suppress", "wait"]
row: int = Field(..., ge=0)
col: int = Field(..., ge=0)
class EnvStepResponse(BaseModel):
observation: TelemetryGridSnapshot
reward: Optional[float] = None
done: bool = False
class StateResponse(BaseModel):
episode_id: str
step_count: int
total_victims_saved: int
total_victims_lost: int
active_victims: int
def _to_snapshot(
observation: DisasterObservation,
state: DisasterState,
) -> TelemetryGridSnapshot:
signals = [
WearableTelemetrySignal(row=row, col=col, health=health)
for row, col, health in observation.critical_signals
]
return TelemetryGridSnapshot(
episode_id=state.episode_id,
step_count=state.step_count,
critical_health_threshold=observation.critical_health_threshold,
visible_signals=observation.visible_signals,
masked_telemetry=observation.masked_telemetry,
signals=signals,
)
def create_app() -> FastAPI:
env = DisasterEnvironment()
app = FastAPI(
title="Disaster Simulation API",
version="0.1.0",
description="HTTP-native API around an OpenEnv-style disaster environment.",
)
@app.get("/")
def root() -> dict[str, str]:
return {
"service": "disaster-simulation-api",
"health": "/health",
"docs": "/docs",
"ui": "/ui",
}
@app.get("/health")
def health() -> dict[str, str]:
return {"status": "ok"}
@app.post("/reset", response_model=EnvStepResponse)
def reset(payload: ResetRequest) -> EnvStepResponse:
observation = env.reset(seed=payload.seed, episode_id=payload.episode_id)
snapshot = _to_snapshot(observation, env.state)
return EnvStepResponse(observation=snapshot, reward=0.0, done=False)
@app.post("/step", response_model=EnvStepResponse)
def step(payload: StepRequest) -> EnvStepResponse:
result = env.step(
DisasterAction(
interaction=payload.interaction,
row=payload.row,
col=payload.col,
)
)
snapshot = _to_snapshot(result.observation, env.state)
return EnvStepResponse(
observation=snapshot,
reward=result.reward,
done=result.done,
)
@app.get("/state", response_model=StateResponse)
def state() -> StateResponse:
return StateResponse(**asdict(env.state))
@app.get("/telemetry/current", response_model=WearableTelemetryEnvelope)
def telemetry_current() -> WearableTelemetryEnvelope:
observation = env._build_observation()
snapshot = _to_snapshot(observation, env.state)
return WearableTelemetryEnvelope(snapshot=snapshot)
def ui_reset(seed: Optional[int], episode_id: Optional[str]) -> dict:
observation = env.reset(seed=seed, episode_id=episode_id)
snapshot = _to_snapshot(observation, env.state)
return {
"observation": snapshot.model_dump(),
"reward": 0.0,
"done": False,
"state": asdict(env.state),
}
def ui_step(interaction: str, row: int, col: int) -> dict:
result = env.step(
DisasterAction(
interaction=interaction,
row=row,
col=col,
)
)
snapshot = _to_snapshot(result.observation, env.state)
return {
"observation": snapshot.model_dump(),
"reward": result.reward,
"done": result.done,
"state": asdict(env.state),
}
try:
import gradio as gr
try:
from .gradio_ui import create_gradio_demo
except ImportError:
from disaster_sim.api.gradio_ui import create_gradio_demo
demo = create_gradio_demo(
reset_fn=ui_reset,
step_fn=ui_step,
state_fn=lambda: asdict(env.state),
grid_size=env.grid_size,
)
app = gr.mount_gradio_app(app, demo, path="/ui")
except ImportError:
# Keep API endpoints functional even when Gradio is not installed.
pass
return app
app = create_app()
if __name__ == "__main__":
import uvicorn
port = int(os.getenv("PORT", "7860"))
uvicorn.run("disaster_sim.api.server:app", host="0.0.0.0", port=port, reload=False)
|