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Differential Revision: https://phabricator.services.mozilla.com/D304228
2026-07-04 10:18:34 +00:00

20 KiB

{mod}mozlog --- Structured logging for test output

{py:mod}mozlog is a library designed for logging the execution and results of test harnesses. The internal data model is a stream of JSON-compatible objects, with one object per log entry. The default output format is line-based, with one JSON object serialized per line.

{py:mod}mozlog is not based on the stdlib logging module, although it shares several concepts with it.

One notable difference between this module and the standard logging module is the way that loggers are created. The structured logging module does not require that loggers with a specific name are singleton objects accessed through a factory function. Instead the StructuredLogger constructor may be used directly. However all loggers with the same name share the same internal state (the "Borg" pattern). In particular the list of handler functions is the same for all loggers with the same name.

Typically, you would only instantiate one logger object per program. Two convenience methods are provided to set and get the default logger in the program.

Logging is threadsafe, with access to handlers protected by a threading.Lock. However it is not process-safe. This means that applications using multiple processes, e.g. via the multiprocessing module, should arrange for all logging to happen in a single process.

Data Format

Structured loggers produce messages in a simple format designed to be compatible with the JSON data model. Each message is a single object, with the type of message indicated by the action key. It is intended that the set of action values be closed; where there are use cases for additional values they should be integrated into this module rather than extended in an ad-hoc way. The set of keys present on on all messages is:

action

The type of the message (string).

time

The timestamp of the message in ms since the epoch (int).

thread

The name of the thread emitting the message (string).

pid

The pid of the process creating the message (int).

source

Name of the logger creating the message (string).

For each action there are is a further set of specific fields describing the details of the event that caused the message to be emitted:

suite_start

Emitted when the testsuite starts running.

tests

A dict of test ids keyed by group. Groups are any logical grouping of tests, for example a manifest, directory or tag. For convenience, a list of test ids can be used instead. In this case all tests will automatically be placed in the 'default' group name. Test ids can either be strings or lists of strings (an example of the latter is reftests where the id has the form [test_url, ref_type, ref_url]). Test ids are assumed to be unique within a given testsuite. In cases where the test list is not known upfront an empty dict or list may be passed (dict).

name

An optional string to identify the suite by.

run_info

An optional dictionary describing the properties of the build and test environment. This contains the information provided by {doc}mozinfo <mozinfo>, plus a boolean debug field indicating whether the build under test is a debug build.

suite_end

Emitted when the testsuite is finished and no more results will be produced.

test_start

Emitted when a test is being started.

test

A unique id for the test (string or list of strings).

path

Optional path to the test relative to some base (typically the root of the source tree). Mainly used when test id is not a path (string).

test_status

Emitted for a test which has subtests to record the result of a single subtest.

test

The same unique id for the test as in the test_start message.

subtest

Name of the subtest (string).

status

Result of the test (string enum; PASS, FAIL, PRECONDITION_FAILED, TIMEOUT, NOTRUN)

expected

Expected result of the test. Omitted if the expected result is the same as the actual result (string enum, same as status).

known_intermittent

A list of known intermittent statuses for that test. Omitted if there are no intermittent statuses expected. (items in the list are string enum, same as status)

test_end

Emitted to give the result of a test with no subtests, or the status of the overall file when there are subtests.

test

The same unique id for the test as in the test_start message.

status

Either result of the test (if there are no subtests) in which case (string enum PASS, FAIL, PRECONDITION_FAILED, TIMEOUT, CRASH, ASSERT, , SKIP) or the status of the overall file where there are subtests (string enum OK, PRECONDITION_FAILED, ERROR, TIMEOUT, CRASH, ASSERT, SKIP).

expected

The expected status, or omitted if the expected status matches the actual status (string enum, same as status).

known_intermittent

A list of known intermittent statuses for that test. Omitted if there are no intermittent statuses expected. (items in the list are string enum, same as status)

process_output

Output from a managed subprocess.

process pid of the subprocess.

command Command used to launch the subprocess.

data Data output by the subprocess.

log

General human-readable logging message, used to debug the harnesses themselves rather than to provide input to other tools.

level

Level of the log message (string enum CRITICAL, ERROR, WARNING, INFO, DEBUG).

message

Text of the log message.

shutdown

This is a special action that can only be logged once per logger state. It is sent when calling {meth}StructuredLogger.shutdown or implicitly when exiting the context manager.

Testsuite Protocol

When used for testsuites, the following structured logging messages must be emitted:

  • One suite_start message before any test_* messages
  • One test_start message per test that is run
  • One test_status message per subtest that is run. This might be zero if the test type doesn't have the notion of subtests.
  • One test_end message per test that is run, after the test_start and any test_status messages for that same test.
  • One suite_end message after all test_* messages have been emitted.

The above mandatory events may be interspersed with process_output and log events, as required.

Subtests

The purpose of subtests is to deal with situations where a single test produces more than one result, and the exact details of the number of results is not known ahead of time. For example consider a test harness that loads JavaScript-based tests in a browser. Each url loaded would be a single test, with corresponding test_start and test_end messages. If there can be more than one JS-defined test on a page, however, it it useful to track the results of those tests separately. Therefore each of those tests is a subtest, and one test_status message must be generated for each subtest result.

Subtests must have a name that is unique within their parent test.

Whether or not a test has subtests changes the meaning of the status property on the test itself. When the test does not have any subtests, this property is the actual test result such as PASS or FAIL . When a test does have subtests, the test itself does not have a result as-such; it isn't meaningful to describe it as having a PASS result, especially if the subtests did not all pass. Instead this property is used to hold information about whether the test ran without error. If no errors were detected the test must be given the status OK. Otherwise the test may get the status ERROR (for e.g. uncaught JS exceptions), TIMEOUT (if no results were reported in the allowed time) or CRASH (if the test caused the process under test to crash).

StructuredLogger Objects

.. automodule:: mozlog.structuredlog
  :members: set_default_logger, get_default_logger, LoggerShutdownError
.. autoclass:: StructuredLogger
   :members: add_handler, remove_handler, handlers, suite_start,
             suite_end, test_start, test_status, test_end,
             process_output, critical, error, warning, info, debug,
             shutdown
.. autoclass:: StructuredLogFileLike
  :members:

ProxyLogger Objects

Since {func}mozlog.structuredlog.get_default_logger return None when the default logger is not initialized, it is not possible to directly use it at the module level.

With ProxyLogger, it is possible to write the following code:

from mozlog import get_proxy_logger

LOG = get_proxy_logger('component_name')


def my_function():
    LOG.info('logging with a module level object')

:::{note} mozlog still needs to be initialized before the first call occurs to a ProxyLogger instance, for example with {func}mozlog.commandline.setup_logging. :::

.. automodule:: mozlog.proxy
  :members: get_proxy_logger, ProxyLogger

Handlers

A handler is a callable that is called for each log message produced and is responsible for handling the processing of that message. The typical example of this is a StreamHandler which takes a log message, invokes a formatter which converts the log to a string, and writes it to a file.

.. automodule:: mozlog.handlers
.. autoclass:: BaseHandler
  :members:
.. autoclass:: StreamHandler
  :members:
.. autoclass:: LogLevelFilter
  :members:
.. autoclass:: BufferHandler
  :members:

Formatters

Formatters are callables that take a log message, and return either a string representation of that message, or None if that message should not appear in the output. This allows formatters to both exclude certain items and create internal buffers of the output so that, for example, a single string might be returned for a test_end message indicating the overall result of the test, including data provided in the test_status messages.

Formatter modules are written so that they can take raw input on stdin and write formatted output on stdout. This allows the formatters to be invoked as part of a command line for post-processing raw log files.

.. automodule:: mozlog.formatters.base
.. autoclass:: BaseFormatter
  :members:
.. automodule:: mozlog.formatters.unittest
.. autoclass:: UnittestFormatter
  :members:
.. automodule:: mozlog.formatters.xunit
.. autoclass:: XUnitFormatter
  :members:
.. automodule:: mozlog.formatters.html
.. autoclass:: HTMLFormatter
  :members:
.. automodule:: mozlog.formatters.machformatter
.. autoclass:: MachFormatter
  :members:
.. automodule:: mozlog.formatters.tbplformatter
.. autoclass:: TbplFormatter
  :members:

Processing Log Files

The mozlog.reader module provides utilities for working with structured log files.

.. automodule:: mozlog.reader
  :members:

Integration with argparse

The mozlog.commandline module provides integration with the argparse module to provide uniform logging-related command line arguments to programs using mozlog. Each known formatter gets a command line argument of the form --log-{name}, which takes the name of a file to log to with that format, or - to indicate stdout.

.. automodule:: mozlog.commandline
  :members:

Simple Examples

Log to stdout:

from mozlog import structuredlog
from mozlog import handlers, formatters
logger = structuredlog.StructuredLogger("my-test-suite")
logger.add_handler(handlers.StreamHandler(sys.stdout,
                                          formatters.JSONFormatter()))
logger.suite_start(["test-id-1"])
logger.test_start("test-id-1")
logger.info("This is a message with action='LOG' and level='INFO'")
logger.test_status("test-id-1", "subtest-1", "PASS")
logger.test_end("test-id-1", "OK")
logger.suite_end()

Log with a context manager:

from mozlog.structuredlog import StructuredLogger
from mozlog.handlers import StreamHandler
from mozlog.formatters import JSONFormatter

with StructuredLogger("my-test-suite") as logger:
    logger.add_handler(StreamHandler(sys.stdout,
                                     JSONFormatter()))
    logger.info("This is an info message")

Populate an argparse.ArgumentParser with logging options, and create a logger based on the value of those options, defaulting to JSON output on stdout if nothing else is supplied:

import argparse
from mozlog import commandline

parser = argparse.ArgumentParser()
# Here one would populate the parser with other options
commandline.add_logging_group(parser)

args = parser.parse_args()
logger = commandline.setup_logging("testsuite-name", args, {"raw": sys.stdout})

Count the number of tests that timed out in a testsuite:

from mozlog import reader

count = 0

def handle_test_end(data):
    global count
    if data["status"] == "TIMEOUT":
        count += 1

reader.each_log(reader.read("my_test_run.log"),
                {"test_end": handle_test_end})

print count

More Complete Example

This example shows a complete toy testharness set up to used structured logging. It is available as structured_example.py:

Each global function with a name starting test_ represents a test. A passing test returns without throwing. A failing test throws a {py:class}TestAssertion exception via the {py:func}assert_equals function. Throwing anything else is considered an error in the test. There is also a {py:func}expected decorator that is used to annotate tests that are expected to do something other than pass.

The main entry point to the test runner is via that {py:func}main function. This is responsible for parsing command line arguments, and initiating the test run. Although the test harness itself does not provide any command line arguments, the {py:class}ArgumentParser object is populated by {py:meth}commandline.add_logging_group, which provides a generic set of structured logging arguments appropriate to all tools producing structured logging.

The values of these command line arguments are used to create a {py:class}mozlog.StructuredLogger object populated with the specified handlers and formatters in {py:func}commandline.setup_logging. The third argument to this function is the default arguments to use. In this case the default is to output raw (i.e. JSON-formatted) logs to stdout.

The main test harness is provided by the {py:class}TestRunner class. This class is responsible for scheduling all the tests and logging all the results. It is passed the {py:obj}logger object created from the command line arguments. The {py:meth}run method starts the test run. Before the run is started it logs a suite_start message containing the id of each test that will run, and after the testrun is done it logs a suite_end message.

Individual tests are run in the {py:meth}run_test method. For each test this logs a test_start message. It then runs the test and logs a test_end message containing the test name, status, expected status, and any informational message about the reason for the result. In this test harness there are no subtests, so the test_end message has the status of the test and there are no test_status messages.

Example Output

When run without providing any command line options, the raw structured log messages are sent to stdout:

$ python structured_example.py

{"source": "structured-example", "tests": ["test_that_has_an_error", "test_that_fails", "test_expected_fail", "test_that_passes"], "thread": "MainThread", "time": 1401446682787, "action": "suite_start", "pid": 18456}
{"source": "structured-example", "thread": "MainThread", "time": 1401446682787, "action": "log", "message": "Running tests", "level": "INFO", "pid": 18456}
{"source": "structured-example", "test": "test_that_has_an_error", "thread": "MainThread", "time": 1401446682787, "action": "test_start", "pid": 18456}
{"status": "ERROR", "thread": "MainThread", "pid": 18456, "source": "structured-example", "test": "test_that_has_an_error", "time": 1401446682788, "action": "test_end", "message": "Traceback (most recent call last):\n  File \"structured_example.py\", line 61, in run_test\n    func()\n  File \"structured_example.py\", line 31, in test_that_has_an_error\n    assert_equals(2, 1 + \"1\")\nTypeError: unsupported operand type(s) for +: 'int' and 'str'\n", "expected": "PASS"}
{"source": "structured-example", "test": "test_that_fails", "thread": "MainThread", "time": 1401446682788, "action": "test_start", "pid": 18456}
{"status": "FAIL", "thread": "MainThread", "pid": 18456, "source": "structured-example", "test": "test_that_fails", "time": 1401446682788, "action": "test_end", "message": "1 not equal to 2", "expected": "PASS"}
{"source": "structured-example", "test": "test_expected_fail", "thread": "MainThread", "time": 1401446682788, "action": "test_start", "pid": 18456}
{"status": "FAIL", "thread": "MainThread", "pid": 18456, "source": "structured-example", "test": "test_expected_fail", "time": 1401446682788, "action": "test_end", "message": "4 not equal to 5"}
{"source": "structured-example", "test": "test_that_passes", "thread": "MainThread", "time": 1401446682788, "action": "test_start", "pid": 18456}
{"status": "PASS", "source": "structured-example", "test": "test_that_passes", "thread": "MainThread", "time": 1401446682789, "action": "test_end", "pid": 18456}
{"source": "structured-example", "test": "test_with_known_intermittent", "thread": "MainThread", "time": 1401446682789, "action": "test_start", "pid": 18456}
{"status": "FAIL", thread": "MainThread", "pid": 18456, "source": "structured-example", "test": "test_with_known_intermittent", "time": 1401446682790, "action": "test_end", "expected": "PASS", "known_intermittent": ["FAIL", "TIMEOUT"]}
{"action": "suite_end", "source": "structured-example", "pid": 18456, "thread": "MainThread", "time": 1401446682790}

The structured logging module provides a number of command line options:

$ python structured_example.py --help

usage: structured_example.py [-h] [--log-unittest LOG_UNITTEST]
                             [--log-raw LOG_RAW] [--log-html LOG_HTML]
                             [--log-xunit LOG_XUNIT]
                             [--log-mach LOG_MACH]

optional arguments:
  -h, --help            show this help message and exit

Output Logging:
  Options for logging output. Each option represents a possible logging
  format and takes a filename to write that format to, or '-' to write to
  stdout.

  --log-unittest LOG_UNITTEST
                        Unittest style output
  --log-raw LOG_RAW     Raw structured log messages
  --log-html LOG_HTML   HTML report
  --log-xunit LOG_XUNIT
                        xUnit compatible XML
  --log-mach LOG_MACH   Human-readable output

In order to get human-readable output on stdout and the structured log data to go to the file structured.log, we would run:

$ python structured_example.py --log-mach=- --log-raw=structured.log

0:00.00 SUITE_START: MainThread 4
0:01.00 LOG: MainThread INFO Running tests
0:01.00 TEST_START: MainThread test_that_has_an_error
0:01.00 TEST_END: MainThread Harness status ERROR, expected PASS. Subtests passed 0/0. Unexpected 1
0:01.00 TEST_START: MainThread test_that_fails
0:01.00 TEST_END: MainThread Harness status FAIL, expected PASS. Subtests passed 0/0. Unexpected 1
0:01.00 TEST_START: MainThread test_expected_fail
0:02.00 TEST_END: MainThread Harness status FAIL. Subtests passed 0/0. Unexpected 0
0:02.00 TEST_START: MainThread test_that_passes
0:02.00 TEST_END: MainThread Harness status PASS. Subtests passed 0/0. Unexpected 0
0:02.00 SUITE_END: MainThread