fix mlflow bug

qlib/workflow/exp.py

@@ -2,6 +2,7 @@
 # Licensed under the MIT License.
 
 import mlflow
+from mlflow.entities import ViewType
 from mlflow.exceptions import MlflowException
 from pathlib import Path
 from .recorder import Recorder, MLflowRecorder
@@ -226,7 +227,7 @@ class MLflowExperiment(Experiment):
             if recorder_name is None:
                 recorder_name = self._default_rec_name
             logger.info(f"No valid recorder found. Create a new recorder with name {recorder_name}.")
-            return self.create(recorder_name), True
+            return self.create_recorder(recorder_name), True
 
     def _get_recorder(self, recorder_id=None, recorder_name=None):
         """
@@ -241,7 +242,7 @@ class MLflowExperiment(Experiment):
                 run = self.client.get_run(recorder_id)
                 recorder = MLflowRecorder(self.id, self._uri, mlflow_run=run)
                 return recorder
-            except MlflowException as e:
+            except MlflowException:
                 raise ValueError("No valid recorder has been found, please make sure the input recorder id is correct.")
         elif recorder_name is not None:
             logger.warning(
@@ -269,15 +270,17 @@ class MLflowExperiment(Experiment):
             if recorder_id is not None:
                 self.client.delete_run(recorder_id)
             else:
-                recorder = self._get_recorder_by_name(recorder_name)
+                recorder = self._get_recorder(recorder_name=recorder_name)
                 self.client.delete_run(recorder.id)
         except MlflowException as e:
             raise Exception(
                 f"Error: {e}. Something went wrong when deleting recorder. Please check if the name/id of the recorder is correct."
             )
 
-    def list_recorders(self):
-        runs = self.client.search_runs(self.id, run_view_type=1)[::-1]
+    UNLIMITED = 50000  # FIXME: Mlflow can only list 50000 records at most!!!!!!!
+
+    def list_recorders(self, max_results=UNLIMITED):
+        runs = self.client.search_runs(self.id, run_view_type=ViewType.ACTIVE_ONLY, max_results=max_results)[::-1]
         recorders = dict()
         for i in range(len(runs)):
             recorder = MLflowRecorder(self.id, self._uri, mlflow_run=runs[i])

qlib/workflow/expm.py

@@ -3,6 +3,7 @@
 
 import mlflow
 from mlflow.exceptions import MlflowException
+from mlflow.entities import ViewType
 import os
 from pathlib import Path
 from contextlib import contextmanager
@@ -324,7 +325,7 @@ class MLflowExpManager(ExpManager):
 
     def list_experiments(self):
         # retrieve all the existing experiments
-        exps = self.client.list_experiments(view_type=1)
+        exps = self.client.list_experiments(view_type=ViewType.ACTIVE_ONLY)
         experiments = dict()
         for exp in exps:
             experiment = MLflowExperiment(exp.experiment_id, exp.name, self.uri)