# 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. """ Pathway Analysis Environment Client. Provides a WebSocket-based client for interacting with a running Pathway Analysis server. """ from __future__ import annotations from typing import Any, Dict import httpx from openenv.core.client_types import StepResult from openenv.core.env_client import EnvClient from .models import PathwayAction, PathwayObservation, PathwayState class PathwayEnv(EnvClient[PathwayAction, PathwayObservation, PathwayState]): """ Client for the Pathway Analysis Environment. Example: >>> with PathwayEnv(base_url="http://localhost:8000") as client: ... result = client.reset() ... result = client.step(PathwayAction(action_type="inspect_dataset")) ... print(result.observation.message) """ def _step_payload(self, action: PathwayAction) -> Dict[str, Any]: return { "action_type": action.action_type, "condition_a": action.condition_a, "condition_b": action.condition_b, "gene_list": action.gene_list, "hypothesis": action.hypothesis, "pathway_a": action.pathway_a, "pathway_b": action.pathway_b, } def _parse_result(self, payload: Dict[str, Any]) -> StepResult[PathwayObservation]: obs_data = payload.get("observation", {}) observation = PathwayObservation( message=obs_data.get("message", ""), available_conditions=obs_data.get("available_conditions", []), top_genes=obs_data.get("top_genes", []), top_pathways=obs_data.get("top_pathways", []), de_genes=obs_data.get("de_genes", []), pathway_enrichment=obs_data.get("pathway_enrichment", []), pathway_comparison=obs_data.get("pathway_comparison"), overlap_summary=obs_data.get("overlap_summary"), statistical_ambiguity=obs_data.get("statistical_ambiguity"), trace_path=obs_data.get("trace_path"), experiment_design=obs_data.get("experiment_design"), done=obs_data.get("done", False), reward=obs_data.get("reward", 0.0), metadata=obs_data.get("metadata", {}), ) return StepResult( observation=observation, reward=observation.reward, done=observation.done, ) def _parse_state(self, payload: Dict[str, Any]) -> PathwayState: return PathwayState( episode_id=payload.get("episode_id", ""), step_count=payload.get("step_count", 0), conditions=payload.get("conditions", []), de_run=payload.get("de_run", False), enrichment_run=payload.get("enrichment_run", False), is_done=payload.get("is_done", False), pipeline_mode=payload.get("pipeline_mode", False), strict_mode=payload.get("strict_mode", False), legacy_mode=payload.get("legacy_mode", False), eval_mode=payload.get("eval_mode", True), max_steps=payload.get("max_steps", 30), design_understood=payload.get("design_understood", False), validated_reference=payload.get("validated_reference"), validated_alternate=payload.get("validated_alternate"), ) def _http_base_url(self) -> str: ws = getattr(self, "_ws_url", "ws://localhost:8000/ws") http = ws.replace("wss://", "https://").replace("ws://", "http://") if http.endswith("/ws"): http = http[:-3] return http.rstrip("/") def fetch_episode_outcome(self, timeout: float = 30.0) -> Dict[str, Any]: """ Fetch orchestrator episode score from a running pathway server. Requires the server started with web interface (default). Only valid after ``submit_answer`` in the same session. """ base = self._http_base_url() with httpx.Client(timeout=timeout) as client: r = client.get(f"{base}/orchestrator/episode_outcome") r.raise_for_status() return r.json() def fetch_eval_protocol(self, timeout: float = 30.0) -> Dict[str, Any]: """Fetch eval protocol summary from ``GET /orchestrator/eval_protocol``.""" base = self._http_base_url() with httpx.Client(timeout=timeout) as client: r = client.get(f"{base}/orchestrator/eval_protocol") r.raise_for_status() return r.json()