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749ed59 | 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 | # 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.
"""MedCodeRL Environment Client."""
from typing import Dict
from openenv.core import EnvClient
from openenv.core.client_types import StepResult
from openenv.core.env_server.types import State
from .models import MedAction, MedObservation
class MedCodeEnv(
EnvClient[MedAction, MedObservation, State]
):
"""
Client for the MedCodeRL Environment.
This client maintains a persistent WebSocket connection to the environment server,
enabling efficient multi-step interactions with lower latency.
Example:
>>> with MedCodeEnv(base_url="http://localhost:7680") as client:
... result = client.reset()
... print(result.observation.clinical_note)
...
... action = MedAction(
... diagnosis_codes=["J02.9"],
... procedure_codes=["99213"],
... decision="approve",
... confidence=0.9,
... reasoning="Acute pharyngitis with appropriate E&M coding.",
... risk_flags=[]
... )
... result = client.step(action)
... print(f"Score: {result.reward}")
"""
def _step_payload(self, action: MedAction) -> Dict:
"""
Convert MedAction to JSON payload for step message.
Args:
action: MedAction instance
Returns:
Dictionary representation suitable for JSON encoding
"""
return {
"diagnosis_codes": action.diagnosis_codes,
"procedure_codes": action.procedure_codes,
"decision": action.decision,
"confidence": action.confidence,
"reasoning": action.reasoning,
"modifier_codes": action.modifier_codes,
"risk_flags": action.risk_flags,
}
def _parse_result(self, payload: Dict) -> StepResult[MedObservation]:
"""
Parse server response into StepResult[MedObservation].
Args:
payload: JSON response data from server
Returns:
StepResult with MedObservation
"""
obs_data = payload.get("observation", {})
observation = MedObservation(
case_id=obs_data.get("case_id", ""),
difficulty=obs_data.get("difficulty", "easy"),
clinical_note=obs_data.get("clinical_note", ""),
symptoms=obs_data.get("symptoms", []),
treatments=obs_data.get("treatments", []),
insurance_type=obs_data.get("insurance_type", "Private"),
prior_auth_required=obs_data.get("prior_auth_required", False),
treatment_cost=obs_data.get("treatment_cost", "low"),
patient_age=obs_data.get("patient_age", 0),
patient_sex=obs_data.get("patient_sex", "M"),
provider_specialty=obs_data.get("provider_specialty", ""),
visit_type=obs_data.get("visit_type", "outpatient"),
comorbidities=obs_data.get("comorbidities", []),
lab_results=obs_data.get("lab_results"),
medications=obs_data.get("medications", []),
reward_breakdown=obs_data.get("reward_breakdown"),
feedback=obs_data.get("feedback", ""),
done=payload.get("done", False),
reward=payload.get("reward"),
metadata=obs_data.get("metadata", {}),
)
return StepResult(
observation=observation,
reward=payload.get("reward"),
done=payload.get("done", False),
)
def _parse_state(self, payload: Dict) -> State:
"""
Parse server response into State object.
Args:
payload: JSON response from state request
Returns:
State object with episode_id and step_count
"""
return State(
episode_id=payload.get("episode_id"),
step_count=payload.get("step_count", 0),
)
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