python
config_error
ai_generated
true
LogCaptureWarning: No logger named 'myapp' found in caplog
ID: python/pytest-logging-capture-missing
80%Fix Rate
83%Confidence
0Evidence
2025-12-01First Seen
Version Compatibility
| Version | Status | Introduced | Deprecated | Notes |
|---|---|---|---|---|
| 7.0.0 | active | — | — | — |
| 8.0.0 | active | — | — | — |
Root Cause
The caplog fixture is used to capture log messages, but the specified logger name does not exist or has not been configured, so no log records are captured.
generic中文
使用caplog fixture捕获日志消息,但指定的日志记录器名称不存在或未配置,因此未捕获到任何日志记录。
Workarounds
-
90% success Verify the logger name used in the code under test and match it in caplog
In the test: import logging logger = logging.getLogger('myapp') logger.info('test message') with caplog.at_level(logging.INFO, logger='myapp'): # run code assert 'test message' in caplog.text -
85% success Use caplog.set_level() to enable capturing for all loggers
caplog.set_level(logging.DEBUG) # Now all log messages are captured assert 'expected message' in caplog.text
Dead Ends
Common approaches that don't work:
-
Using caplog.clear() before capturing logs
50% fail
This clears existing logs but does not fix the logger name issue.
-
Setting the log level to DEBUG globally
40% fail
This may generate more logs but does not ensure the correct logger is captured.