fix duplicate log (#1661)

* fix duplicate log

* fix unit test

* fix log

* fix_duplicate_log

* fix_duplicate_log

* add comments

---------

Co-authored-by: Linlang <Lv.Linlang@hotmail.com>

qlib/config.py

@@ -173,7 +173,11 @@ def register_from_C(config, skip_register=True):
                 "filters": ["field_not_found"],
             }
         },
-        "loggers": {"qlib": {"level": logging.DEBUG, "handlers": ["console"]}},
+        # Normally this should be set to `False` to avoid duplicated logging [1].
+        # However, due to bug in pytest, it requires log message to propagate to root logger to be captured by `caplog` [2].
+        # [1] https://github.com/microsoft/qlib/pull/1661
+        # [2] https://github.com/pytest-dev/pytest/issues/3697
+        "loggers": {"qlib": {"level": logging.DEBUG, "handlers": ["console"], "propagate": False}},
         # To let qlib work with other packages, we shouldn't disable existing loggers.
         # Note that this param is default to True according to the documentation of logging.
         "disable_existing_loggers": False,

tests/rl/test_logger.py

@@ -1,8 +1,8 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT License.
-
 from random import randint, choice
 from pathlib import Path
+import logging
 
 import re
 from typing import Any, Tuple
@@ -69,6 +69,10 @@ def learn(self, batch):
 
 def test_simple_env_logger(caplog):
     set_log_with_config(C.logging_config)
+    # In order for caplog to capture log messages, we configure it here:
+    # allow logs from the qlib logger to be passed to the parent logger.
+    C.logging_config["loggers"]["qlib"]["propagate"] = True
+    logging.config.dictConfig(C.logging_config)
     for venv_cls_name in ["dummy", "shmem", "subproc"]:
         writer = ConsoleWriter()
         csv_writer = CsvWriter(Path(__file__).parent / ".output")
@@ -80,13 +84,12 @@ def test_simple_env_logger(caplog):
         output_file = pd.read_csv(Path(__file__).parent / ".output" / "result.csv")
         assert output_file.columns.tolist() == ["reward", "a", "c"]
         assert len(output_file) >= 30
-
     line_counter = 0
     for line in caplog.text.splitlines():
         line = line.strip()
         if line:
             line_counter += 1
-            assert re.match(r".*reward .*  a .* \((4|5|6)\.\d+\)  c .* \((14|15|16)\.\d+\)", line)
+            assert re.match(r".*reward .* {2}a .* \(([456])\.\d+\) {2}c .* \((14|15|16)\.\d+\)", line)
     assert line_counter >= 3
 
 
@@ -137,15 +140,17 @@ def learn(self, batch):
 
 def test_logger_with_env_wrapper():
     with DataQueue(list(range(20)), shuffle=False) as data_iterator:
-        env_wrapper_factory = lambda: EnvWrapper(
-            SimpleSimulator,
-            DummyStateInterpreter(),
-            DummyActionInterpreter(),
-            data_iterator,
-            logger=LogCollector(LogLevel.DEBUG),
-        )
-
-        # loglevel can be debug here because metrics can all dump into csv
+
+        def env_wrapper_factory():
+            return EnvWrapper(
+                SimpleSimulator,
+                DummyStateInterpreter(),
+                DummyActionInterpreter(),
+                data_iterator,
+                logger=LogCollector(LogLevel.DEBUG),
+            )
+
+        # loglevel can be debugged here because metrics can all dump into csv
         # otherwise, csv writer might crash
         csv_writer = CsvWriter(Path(__file__).parent / ".output", loglevel=LogLevel.DEBUG)
         venv = vectorize_env(env_wrapper_factory, "shmem", 4, csv_writer)
@@ -155,7 +160,7 @@ def test_logger_with_env_wrapper():
 
     output_df = pd.read_csv(Path(__file__).parent / ".output" / "result.csv")
     assert len(output_df) == 20
-    # obs has a increasing trend
+    # obs has an increasing trend
     assert output_df["obs"].to_numpy()[:10].sum() < output_df["obs"].to_numpy()[10:].sum()
     assert (output_df["test_a"] == 233).all()
     assert (output_df["test_b"] == 200).all()