reuse the code from quart_common.web.env to import env_bool and env_int into all classes that are useing this functions

server/dataset/RLBootstrapDataset.py

@@ -2,34 +2,18 @@ from pathlib import Path
 from typing import Any
 import os
 
+from quart_common.web.env import env_bool, env_int
 from server.dataset.DatasetIO import DatasetIO
 
 class RLBootstrapDataset:
   def __init__(self):
-    self.enabled = self._env_bool("RL_BOOTSTRAP_ENABLED", default=False)
-    self.min_base_rows = self._env_int("RL_MIN_BASE_ROWS", default=5000)
+    self.enabled = env_bool("RL_BOOTSTRAP_ENABLED", default=False)
+    self.min_base_rows = env_int("RL_MIN_BASE_ROWS", default=5000)
     self.base_dataset_path = Path(os.getenv("RL_BASE_DATASET", "data/dataset/best_moves.jsonl"))
     self.output_path = Path(os.getenv("RL_BOOTSTRAP_OUTPUT", "data/dataset/rl_bootstrap.jsonl"))
     self.max_bytes = int(float(os.getenv("RL_BOOTSTRAP_MAX_MB", "50")) * 1024 * 1024)
     self.needs_more_data = False
 
-  @staticmethod
-  def _env_bool(name:str, default:bool=False) -> bool:
-    value = os.getenv(name)
-    if value is None:
-      return default
-    return value.lower() in {"1", "true", "yes", "on"}
-
-  @staticmethod
-  def _env_int(name:str, default:int) -> int:
-    value = os.getenv(name)
-    if value is None:
-      return default
-    try:
-      return int(value)
-    except ValueError:
-      return default
-
   def refresh_state(self):
     if not self.enabled:
       self.needs_more_data = False