my_first_env / client.py
Deependu Jha
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# 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.
"""My First Env 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 MyFirstAction, MyFirstObservation
class MyFirstEnv(
EnvClient[MyFirstAction, MyFirstObservation, State]
):
"""
Client for the My First Env 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 MyFirstEnv(base_url="http://localhost:8000") as client:
... result = client.reset()
... print(result.observation.echoed_message)
...
... result = client.step(MyFirstAction(message="Hello!"))
... print(result.observation.echoed_message)
Example with Docker:
>>> # Automatically start container and connect
>>> client = MyFirstEnv.from_docker_image("my_first_env-env:latest")
>>> try:
... result = client.reset()
... result = client.step(MyFirstAction(message="Test"))
... finally:
... client.close()
"""
def _step_payload(self, action: MyFirstAction) -> Dict:
"""
Convert MyFirstAction to JSON payload for step message.
Args:
action: MyFirstAction instance
Returns:
Dictionary representation suitable for JSON encoding
"""
print(f"Converting action to payload: {action}")
return {
"message": action.message,
}
def _parse_result(self, payload: Dict) -> StepResult[MyFirstObservation]:
"""
Parse server response into StepResult[MyFirstObservation].
Args:
payload: JSON response data from server
Returns:
StepResult with MyFirstObservation
"""
print(f"Parsing step result payload: {payload}")
obs_data = payload.get("observation", {})
observation = MyFirstObservation(
echoed_message=obs_data.get("echoed_message", ""),
message_length=obs_data.get("message_length", 0),
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
"""
print(f"Parsing state payload: {payload}")
return State(
episode_id=payload.get("episode_id"),
step_count=payload.get("step_count", 0),
)