make sure cli options are logged after run directory is initialized

main.py

@@ -272,21 +272,6 @@ def run_episode(evo_alg_str: str, debug: bool = False):
 
 if __name__ == "__main__":
     options = argument_parser.parse_args()
-    # log cli arguments
-    logger.info(
-        "CLI arguments:\n\tPositional:%s\n\tKeyword:\n\t\t%s",
-        ", ".join(options._get_args()),
-        "\n\t\t".join((f"{param}={value}" for param, value in options._get_kwargs())),
-    )
-
-    # debug mode will allow for a quick run
-    debug = options.debug
-    if debug is None:
-        debug = conv2bool(os.getenv("EP_DEBUG", False))
-        if debug is None:
-            raise ValueError(
-                f"{os.getenv('EP_DEBUG')} is not allowed for env variable EP_DEBUG."
-            )
 
     # set up evolution model
     match options.evolution_engine:
@@ -314,6 +299,22 @@ if __name__ == "__main__":
 
     run_directory = initialize_run_directory(evolution_model)
 
+    # log cli arguments
+    logger.info(
+        "CLI arguments:\n\tPositional:%s\n\tKeyword:\n\t\t%s",
+        ", ".join(options._get_args()),
+        "\n\t\t".join((f"{param}={value}" for param, value in options._get_kwargs())),
+    )
+
+    # debug mode will allow for a quick run
+    debug = options.debug
+    if debug is None:
+        debug = conv2bool(os.getenv("EP_DEBUG", False))
+        if debug is None:
+            raise ValueError(
+                f"{os.getenv('EP_DEBUG')} is not allowed for env variable EP_DEBUG."
+            )
+
     match options.task:
         case "sa":
             logger.info("Running with task sentiment analysis on dataset SetFit/sst2")

utils.py

@@ -29,7 +29,7 @@ def initialize_run_directory(model: OpenAI | Llama2):
         run_name = uuid4().hex
     else:
         run_name = run_name_match.group(0)
-    run_directory = current_directory / f"runs/run-{run_name}"
+    run_directory = current_directory / f"runs/{run_name}"
     run_directory.mkdir(parents=True, exist_ok=False)
     file_handler = logging.FileHandler(run_directory / "output.log")
     file_handler.setLevel(logging.DEBUG)
@@ -37,7 +37,7 @@ def initialize_run_directory(model: OpenAI | Llama2):
     file_handler.setFormatter(formatter)
     logger.addHandler(file_handler)
 
-    logger.info(f"initialized run directory at {run_directory}")
+    logger.info(f"Hello my name is {run_name} and I live in {run_directory}")
     return run_directory