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eea8d2e | 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 | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""Clinical Trial Env environment client."""
from typing import Dict
from openenv.core import EnvClient
from openenv.core.client_types import StepResult
try:
from .models import ClinicalTrialAction, ClinicalTrialObservation, ClinicalTrialState
except ImportError:
from models import ClinicalTrialAction, ClinicalTrialObservation, ClinicalTrialState
class ClinicalTrialEnv(
EnvClient[ClinicalTrialAction, ClinicalTrialObservation, ClinicalTrialState]
):
"""
Client for the clinical trial screening environment.
This client maintains a persistent WebSocket connection to the environment server,
enabling efficient multi-step interactions with lower latency.
Each client instance has its own dedicated environment session on the server.
Example:
>>> # Connect to a running server
>>> with ClinicalTrialEnv(base_url="http://localhost:8000") as client:
... result = await client.reset(task_id="easy")
... print(result.observation.title)
...
... result = await client.step(
... ClinicalTrialAction(action_type="submit_decision", final_decision="eligible")
... )
... print(result.observation.reward_details.grader_score)
Example with Docker:
>>> # Automatically start container and connect
>>> client = await ClinicalTrialEnv.from_docker_image("clinical-trial-env:latest")
>>> try:
... result = await client.reset(task_id="hard")
... result = await client.step(
... ClinicalTrialAction(action_type="flag_deviation", deviations=["active uncontrolled infection"])
... )
... finally:
... await client.close()
"""
def _step_payload(self, action: ClinicalTrialAction) -> Dict:
"""
Convert ClinicalTrialAction to JSON payload for step message.
Args:
action: ClinicalTrialAction instance
Returns:
Dictionary representation suitable for JSON encoding
"""
return action.model_dump(mode="json")
def _parse_result(self, payload: Dict) -> StepResult[ClinicalTrialObservation]:
"""
Parse server response into StepResult[ClinicalTrialObservation].
Args:
payload: JSON response data from server
Returns:
StepResult with ClinicalTrialObservation
"""
obs_data = payload.get("observation", {})
observation = ClinicalTrialObservation.model_validate(
{
**obs_data,
"done": obs_data.get("done", payload.get("done", False)),
"reward": obs_data.get("reward", payload.get("reward")),
}
)
return StepResult(
observation=observation,
reward=payload.get("reward"),
done=payload.get("done", False),
)
def _parse_state(self, payload: Dict) -> ClinicalTrialState:
"""
Parse server response into State object.
Args:
payload: JSON response from state request
Returns:
State object with episode_id and step_count
"""
return ClinicalTrialState.model_validate(payload)
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