Callable Exp

qlib/workflow/record_temp.py

@@ -8,7 +8,7 @@
 import pandas as pd
 from pathlib import Path
 from pprint import pprint
-from typing import Union, List
+from typing import Union, List, Optional
 from collections import defaultdict
 
 from qlib.utils.exceptions import LoadObjectError
@@ -270,7 +270,13 @@ def __init__(self, recorder, ana_long_short=False, ann_scaler=252, label_col=0,
         self.label_col = label_col
         self.skip_existing = skip_existing
 
-    def generate(self, **kwargs):
+    def generate(self, label: Optional[pd.DataFrame] = None, **kwargs):
+        """
+        Parameters
+        ----------
+        label : Optional[pd.DataFrame]
+            Label should be a dataframe.
+        """
         if self.skip_existing:
             try:
                 self.check(include_self=True, parents=False)
@@ -283,7 +289,8 @@ def generate(self, **kwargs):
         self.check()
 
         pred = self.load("pred.pkl")
-        label = self.load("label.pkl")
+        if label is None:
+            label = self.load("label.pkl")
         if label is None or not isinstance(label, pd.DataFrame) or label.empty:
             logger.warn(f"Empty label.")
             return

qlib/workflow/task/collect.py

@@ -10,6 +10,7 @@
 from qlib.log import get_module_logger
 from qlib.utils.serial import Serializable
 from qlib.workflow import R
+from qlib.workflow.exp import Experiment
 
 
 class Collector(Serializable):
@@ -146,7 +147,9 @@ def __init__(
         Init RecorderCollector.
 
         Args:
-            experiment (Experiment or str): an instance of an Experiment or the name of an Experiment
+            experiment:
+                (Experiment or str): an instance of an Experiment or the name of an Experiment
+                (Callable): an callable function, which returns a list of experiments
             process_list (list or Callable): the list of processors or the instance of a processor to process dict.
             rec_key_func (Callable): a function to get the key of a recorder. If None, use recorder id.
             rec_filter_func (Callable, optional): filter the recorder by return True or False. Defaults to None.
@@ -157,6 +160,7 @@ def __init__(
         super().__init__(process_list=process_list)
         if isinstance(experiment, str):
             experiment = R.get_exp(experiment_name=experiment)
+        assert isinstance(experiment, (Experiment, Callable))
         self.experiment = experiment
         self.artifacts_path = artifacts_path
         if rec_key_func is None:
@@ -192,15 +196,16 @@ def collect(self, artifacts_key=None, rec_filter_func=None, only_exist=True) ->
         collect_dict = {}
         # filter records
 
-        with TimeInspector.logt("Time to `list_recorders` in RecorderCollector"):
-            recs = self.experiment.list_recorders(**self.list_kwargs)
-        recs_flt = {}
-        for rid, rec in recs.items():
-            if rec_filter_func is None or rec_filter_func(rec):
-                recs_flt[rid] = rec
+        if isinstance(self.experiment, Experiment):
+            with TimeInspector.logt("Time to `list_recorders` in RecorderCollector"):
+                recs = list(self.experiment.list_recorders(**self.list_kwargs).values())
+        elif isinstance(self.experiment, Callable):
+            recs = self.experiment()
+
+        recs = [rec for rec in recs if rec_filter_func is None or rec_filter_func(rec)]
 
         logger = get_module_logger("RecorderCollector")
-        for _, rec in recs_flt.items():
+        for rec in recs:
             rec_key = self.rec_key_func(rec)
             for key in artifacts_key:
                 if self.ART_KEY_RAW == key: