Module glean.glean
The main Glean general API.
Expand source code
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
"""
The main Glean general API.
"""
import atexit
import logging
from pathlib import Path
import shutil
import tempfile
import threading
from typing import Dict, Optional, Set, TYPE_CHECKING
from .config import Configuration
from . import _uniffi
from . import _ffi
from .net import PingUploadWorker
from ._process_dispatcher import ProcessDispatcher
from . import _util
# To avoid cyclical imports, but still make mypy type-checking work.
# See https://mypy.readthedocs.io/en/latest/common_issues.html#import-cycles
if TYPE_CHECKING:
from .metrics import PingType, RecordedExperiment
log = logging.getLogger("glean")
_ffi.setup_logging()
def _rmtree(path) -> bool:
"""
A small wrapper around shutil.rmtree to make it runnable on the
ProcessDispatcher.
"""
shutil.rmtree(path)
return True
class OnGleanEventsImpl(_uniffi.OnGleanEvents):
def __init__(self, glean):
self.glean = glean
def initialize_finished(self):
self.glean._init_finished = True
def trigger_upload(self):
PingUploadWorker.process(Glean._testing_mode)
def start_metrics_ping_scheduler(self):
pass
def cancel_uploads(self):
pass
def shutdown(self):
pass
class Glean:
"""
The main Glean API.
Before any data collection can take place, the Glean SDK **must** be
initialized from the application.
>>> Glean.initialize(
... application_id="my-app",
... application_version="0.0.0",
... upload_enabled=True,
... data_dir=Path.home() / ".glean",
... )
"""
# Whether Glean was initialized
_initialized: bool = False
# Set when `initialize()` returns.
# This allows to detect calls that happen before `Glean.initialize()` was called.
# Note: The initialization might still be in progress, as it runs in a separate thread.
_init_finished: bool = False
# Are we in testing mode?
_testing_mode: bool = False
# The Configuration that was passed to `initialize`
_configuration: Configuration
# The directory that Glean stores data in
_data_dir: Path = Path()
# Whether Glean "owns" the data directory and should destroy it upon reset.
_destroy_data_dir: bool = False
# Keep track of this setting before Glean is initialized
_upload_enabled: bool = True
# The ping types, so they can be registered prior to Glean initialization,
# and saved between test runs.
_ping_type_queue: Set["PingType"] = set()
# The application id to send in the ping.
_application_id: str
# The version of the application sending Glean data.
_application_version: str
# The build identifier generated by the CI system.
_application_build_id: str
# A thread lock for Glean operations that need to be synchronized
_thread_lock = threading.RLock()
# Simple logging API log level
_simple_log_level: Optional[int] = None
@classmethod
def initialize(
cls,
application_id: str,
application_version: str,
upload_enabled: bool,
configuration: Optional[Configuration] = None,
data_dir: Optional[Path] = None,
application_build_id: Optional[str] = None,
log_level: Optional[int] = None,
) -> None:
"""
Initialize the Glean SDK.
This should only be initialized once by the application, and not by
libraries using the Glean SDK. A message is logged to error and no
changes are made to the state if initialize is called a more than
once.
Args:
application_id (str): The application id to use when sending pings.
application_version (str): The version of the application sending
Glean data. The meaning of this field is application-specific,
but it is highly recommended to set this to something
meaningful.
upload_enabled (bool): Controls whether telemetry is enabled. If
disabled, all persisted metrics, events and queued pings
(except first_run_date) are cleared.
configuration (glean.config.Configuration): (optional) An object with
global settings.
data_dir (pathlib.Path): The path to the Glean data directory.
application_build_id (str): (optional) The build identifier generated
by the CI system (e.g. "1234/A").
log_level (int): (optional) The level of log messages that Glean
will emit. One of the constants in the Python `logging` module:
`DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`. If you need a
specialized logging configuration, such as to redirecting,
filtering or reformatting, you should use the Python `logging`
module's API directly, but that will not affect logging any of
Glean's networking operations which happen in a subprocess.
Details in the "Debugging Python applications with the Glean
SDK" chapter in the docs.
"""
if log_level is not None:
cls._simple_log_level = log_level
logging.basicConfig(level=log_level)
with cls._thread_lock:
if cls.is_initialized():
return
atexit.register(Glean._reset)
if configuration is None:
configuration = Configuration()
if data_dir is None:
raise TypeError("data_dir must be provided")
cls._data_dir = data_dir
cls._destroy_data_dir = False
cls._configuration = configuration
cls._application_id = application_id
if application_version is None:
cls._application_version = "Unknown"
else:
cls._application_version = application_version
if application_build_id is None:
cls._application_build_id = "Unknown"
else:
cls._application_build_id = application_build_id
# FIXME: Require user to pass in build-date
dt = _uniffi.Datetime(
year=1970,
month=1,
day=1,
hour=0,
minute=0,
second=0,
nanosecond=0,
offset_seconds=0,
)
client_info = _uniffi.ClientInfoMetrics(
app_build=cls._application_build_id,
app_display_version=cls._application_version,
app_build_date=dt,
channel=configuration.channel,
architecture="Unknown",
os_version="Unknown",
locale=None,
device_manufacturer=None,
device_model=None,
android_sdk_version=None,
windows_build_number=None,
)
callbacks = OnGleanEventsImpl(cls)
cfg = _uniffi.InternalConfiguration(
data_path=str(cls._data_dir),
application_id=application_id,
language_binding_name="Python",
upload_enabled=upload_enabled,
max_events=configuration.max_events,
delay_ping_lifetime_io=False,
use_core_mps=False,
app_build=cls._application_build_id,
trim_data_to_registered_pings=False,
log_level=None,
rate_limit=None,
enable_event_timestamps=configuration.enable_event_timestamps,
experimentation_id=configuration.experimentation_id,
enable_internal_pings=configuration.enable_internal_pings,
)
_uniffi.glean_initialize(cfg, client_info, callbacks)
cls._initialized = True
@classmethod
def _initialize_with_tempdir_for_testing(
cls,
application_id: str,
application_version: str,
upload_enabled: bool,
configuration: Optional[Configuration] = None,
application_build_id: Optional[str] = None,
) -> None:
"""
Initialize Glean to use a temporary data directory. Use for internal
unit testing only.
The temporary directory will be destroyed when Glean is initialized
again or at process shutdown.
"""
actual_data_dir = Path(tempfile.TemporaryDirectory().name)
cls.initialize(
application_id,
application_version,
upload_enabled,
configuration=configuration,
data_dir=actual_data_dir,
application_build_id=application_build_id,
)
cls._destroy_data_dir = True
@_util.classproperty
def configuration(cls) -> Configuration:
"""
Access the configuration object to change dynamic parameters.
"""
return cls._configuration
@classmethod
def _reset(cls) -> None:
"""
Resets the Glean singleton.
"""
# TODO: 1594184 Send the metrics ping
log.debug("Resetting Glean")
# Wait for the subprocess to complete. We only need to do this if
# we know we are going to be deleting the data directory.
if cls._destroy_data_dir and cls._data_dir.exists():
ProcessDispatcher._wait_for_last_process()
# Destroy the Glean object.
# Importantly on Windows, this closes the handle to the database so
# that the data directory can be deleted without a multiple access
# violation.
_uniffi.glean_test_destroy_glean(False)
_uniffi.glean_set_test_mode(False)
cls._init_finished = False
cls._initialized = False
cls._testing_mode = False
# Remove the atexit handler or it will get called multiple times at
# exit.
atexit.unregister(cls._reset)
if cls._destroy_data_dir and cls._data_dir.exists():
# This needs to be run in the same one-at-a-time process as the
# PingUploadWorker to avoid a race condition. This will block the
# main thread waiting for all pending uploads to complete, but this
# only happens during testing when the data directory is a
# temporary directory, so there is no concern about delaying
# application shutdown here.
p = ProcessDispatcher.dispatch(_rmtree, (str(cls._data_dir),))
p.wait()
@classmethod
def is_initialized(cls) -> bool:
"""
Returns True if the Glean SDK has been initialized.
"""
return cls._initialized
@classmethod
def set_upload_enabled(cls, enabled: bool) -> None:
"""
Enable or disable Glean collection and upload.
Metric collection is enabled by default.
When uploading is disabled, metrics aren't recorded at all and no data
is uploaded.
When disabling, all pending metrics, events and queued pings are cleared.
When enabling, the core Glean metrics are recreated.
Args:
enabled (bool): When True, enable metric collection.
"""
# Changing upload enabled always happens asynchronous.
# That way it follows what a user expect when calling it inbetween other calls:
# It executes in the right order.
#
# Because the dispatch queue is halted until Glean is fully initialized
# we can safely enqueue here and it will execute after initialization.
_uniffi.glean_set_upload_enabled(enabled)
@classmethod
def set_experiment_active(
cls, experiment_id: str, branch: str, extra: Optional[Dict[str, str]] = None
) -> None:
"""
Indicate that an experiment is running. Glean will then add an
experiment annotation to the environment which is sent with pings. This
information is not persisted between runs.
Args:
experiment_id (str): The id of the active experiment (maximum 100
bytes)
branch (str): The experiment branch (maximum 100 bytes)
extra (dict of str -> str): Optional metadata to output with the
ping
"""
map = {} if extra is None else extra
_uniffi.glean_set_experiment_active(experiment_id, branch, map)
@classmethod
def set_experiment_inactive(cls, experiment_id: str) -> None:
"""
Indicate that the experiment is no longer running.
Args:
experiment_id (str): The id of the experiment to deactivate.
"""
_uniffi.glean_set_experiment_inactive(experiment_id)
@classmethod
def test_is_experiment_active(cls, experiment_id: str) -> bool:
"""
Tests whether an experiment is active, for testing purposes only.
Args:
experiment_id (str): The id of the experiment to look for.
Returns:
is_active (bool): If the experiement is active and reported in
pings.
"""
return _uniffi.glean_test_get_experiment_data(experiment_id) is not None
@classmethod
def test_get_experiment_data(cls, experiment_id: str) -> "RecordedExperiment":
"""
Returns the stored data for the requested active experiment, for testing purposes only.
Args:
experiment_id (str): The id of the experiment to look for.
Returns:
experiment_data (RecordedExperiment): The data associated with
the experiment.
"""
data = _uniffi.glean_test_get_experiment_data(experiment_id)
if data is not None:
return data
else:
raise RuntimeError("Experiment data is not set")
@classmethod
def set_experimentation_id(cls, experimentation_id: str):
"""
Dynamically set the experimentation identifier, as opposed to setting it through
the configuration during initialization.
Args:
experimentation_id (str): The string experimentation identifier to set
"""
_uniffi.glean_set_experimentation_id(experimentation_id)
@classmethod
def test_get_experimentation_id(cls) -> str:
"""
Returns the stored experimentation id, for testing purposes only.
Returns:
experimentation_id (str): The experimentation id set by the client.
"""
experimentation_id = _uniffi.glean_test_get_experimentation_id()
if experimentation_id is not None:
return experimentation_id
else:
raise RuntimeError("Experimentation id is not set")
@classmethod
def handle_client_active(cls):
"""
Performs the collection/cleanup operations required by becoming active.
This functions generates a baseline ping with reason `active`
and then sets the dirty bit.
This should be called whenever the consuming product becomes active (e.g.
getting to foreground).
"""
_uniffi.glean_handle_client_active()
@classmethod
def handle_client_inactive(cls):
"""
Performs the collection/cleanup operations required by becoming inactive.
This functions generates a baseline and an events ping with reason
`inactive` and then clears the dirty bit.
This should be called whenever the consuming product becomes inactive (e.g.
getting to background).
"""
_uniffi.glean_handle_client_inactive()
@classmethod
def shutdown(cls):
"""
Shuts down Glean in an orderly fashion.
"""
_uniffi.glean_shutdown()
# On top of the Glean shutdown
# we also wait for the process dispatcher to finish.
ProcessDispatcher._wait_for_last_process()
__all__ = ["Glean"]Classes
class Glean-
The main Glean API.
Before any data collection can take place, the Glean SDK must be initialized from the application.
>>> Glean.initialize( ... application_id="my-app", ... application_version="0.0.0", ... upload_enabled=True, ... data_dir=Path.home() / ".glean", ... )Expand source code
class Glean: """ The main Glean API. Before any data collection can take place, the Glean SDK **must** be initialized from the application. >>> Glean.initialize( ... application_id="my-app", ... application_version="0.0.0", ... upload_enabled=True, ... data_dir=Path.home() / ".glean", ... ) """ # Whether Glean was initialized _initialized: bool = False # Set when `initialize()` returns. # This allows to detect calls that happen before `Glean.initialize()` was called. # Note: The initialization might still be in progress, as it runs in a separate thread. _init_finished: bool = False # Are we in testing mode? _testing_mode: bool = False # The Configuration that was passed to `initialize` _configuration: Configuration # The directory that Glean stores data in _data_dir: Path = Path() # Whether Glean "owns" the data directory and should destroy it upon reset. _destroy_data_dir: bool = False # Keep track of this setting before Glean is initialized _upload_enabled: bool = True # The ping types, so they can be registered prior to Glean initialization, # and saved between test runs. _ping_type_queue: Set["PingType"] = set() # The application id to send in the ping. _application_id: str # The version of the application sending Glean data. _application_version: str # The build identifier generated by the CI system. _application_build_id: str # A thread lock for Glean operations that need to be synchronized _thread_lock = threading.RLock() # Simple logging API log level _simple_log_level: Optional[int] = None @classmethod def initialize( cls, application_id: str, application_version: str, upload_enabled: bool, configuration: Optional[Configuration] = None, data_dir: Optional[Path] = None, application_build_id: Optional[str] = None, log_level: Optional[int] = None, ) -> None: """ Initialize the Glean SDK. This should only be initialized once by the application, and not by libraries using the Glean SDK. A message is logged to error and no changes are made to the state if initialize is called a more than once. Args: application_id (str): The application id to use when sending pings. application_version (str): The version of the application sending Glean data. The meaning of this field is application-specific, but it is highly recommended to set this to something meaningful. upload_enabled (bool): Controls whether telemetry is enabled. If disabled, all persisted metrics, events and queued pings (except first_run_date) are cleared. configuration (glean.config.Configuration): (optional) An object with global settings. data_dir (pathlib.Path): The path to the Glean data directory. application_build_id (str): (optional) The build identifier generated by the CI system (e.g. "1234/A"). log_level (int): (optional) The level of log messages that Glean will emit. One of the constants in the Python `logging` module: `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`. If you need a specialized logging configuration, such as to redirecting, filtering or reformatting, you should use the Python `logging` module's API directly, but that will not affect logging any of Glean's networking operations which happen in a subprocess. Details in the "Debugging Python applications with the Glean SDK" chapter in the docs. """ if log_level is not None: cls._simple_log_level = log_level logging.basicConfig(level=log_level) with cls._thread_lock: if cls.is_initialized(): return atexit.register(Glean._reset) if configuration is None: configuration = Configuration() if data_dir is None: raise TypeError("data_dir must be provided") cls._data_dir = data_dir cls._destroy_data_dir = False cls._configuration = configuration cls._application_id = application_id if application_version is None: cls._application_version = "Unknown" else: cls._application_version = application_version if application_build_id is None: cls._application_build_id = "Unknown" else: cls._application_build_id = application_build_id # FIXME: Require user to pass in build-date dt = _uniffi.Datetime( year=1970, month=1, day=1, hour=0, minute=0, second=0, nanosecond=0, offset_seconds=0, ) client_info = _uniffi.ClientInfoMetrics( app_build=cls._application_build_id, app_display_version=cls._application_version, app_build_date=dt, channel=configuration.channel, architecture="Unknown", os_version="Unknown", locale=None, device_manufacturer=None, device_model=None, android_sdk_version=None, windows_build_number=None, ) callbacks = OnGleanEventsImpl(cls) cfg = _uniffi.InternalConfiguration( data_path=str(cls._data_dir), application_id=application_id, language_binding_name="Python", upload_enabled=upload_enabled, max_events=configuration.max_events, delay_ping_lifetime_io=False, use_core_mps=False, app_build=cls._application_build_id, trim_data_to_registered_pings=False, log_level=None, rate_limit=None, enable_event_timestamps=configuration.enable_event_timestamps, experimentation_id=configuration.experimentation_id, enable_internal_pings=configuration.enable_internal_pings, ) _uniffi.glean_initialize(cfg, client_info, callbacks) cls._initialized = True @classmethod def _initialize_with_tempdir_for_testing( cls, application_id: str, application_version: str, upload_enabled: bool, configuration: Optional[Configuration] = None, application_build_id: Optional[str] = None, ) -> None: """ Initialize Glean to use a temporary data directory. Use for internal unit testing only. The temporary directory will be destroyed when Glean is initialized again or at process shutdown. """ actual_data_dir = Path(tempfile.TemporaryDirectory().name) cls.initialize( application_id, application_version, upload_enabled, configuration=configuration, data_dir=actual_data_dir, application_build_id=application_build_id, ) cls._destroy_data_dir = True @_util.classproperty def configuration(cls) -> Configuration: """ Access the configuration object to change dynamic parameters. """ return cls._configuration @classmethod def _reset(cls) -> None: """ Resets the Glean singleton. """ # TODO: 1594184 Send the metrics ping log.debug("Resetting Glean") # Wait for the subprocess to complete. We only need to do this if # we know we are going to be deleting the data directory. if cls._destroy_data_dir and cls._data_dir.exists(): ProcessDispatcher._wait_for_last_process() # Destroy the Glean object. # Importantly on Windows, this closes the handle to the database so # that the data directory can be deleted without a multiple access # violation. _uniffi.glean_test_destroy_glean(False) _uniffi.glean_set_test_mode(False) cls._init_finished = False cls._initialized = False cls._testing_mode = False # Remove the atexit handler or it will get called multiple times at # exit. atexit.unregister(cls._reset) if cls._destroy_data_dir and cls._data_dir.exists(): # This needs to be run in the same one-at-a-time process as the # PingUploadWorker to avoid a race condition. This will block the # main thread waiting for all pending uploads to complete, but this # only happens during testing when the data directory is a # temporary directory, so there is no concern about delaying # application shutdown here. p = ProcessDispatcher.dispatch(_rmtree, (str(cls._data_dir),)) p.wait() @classmethod def is_initialized(cls) -> bool: """ Returns True if the Glean SDK has been initialized. """ return cls._initialized @classmethod def set_upload_enabled(cls, enabled: bool) -> None: """ Enable or disable Glean collection and upload. Metric collection is enabled by default. When uploading is disabled, metrics aren't recorded at all and no data is uploaded. When disabling, all pending metrics, events and queued pings are cleared. When enabling, the core Glean metrics are recreated. Args: enabled (bool): When True, enable metric collection. """ # Changing upload enabled always happens asynchronous. # That way it follows what a user expect when calling it inbetween other calls: # It executes in the right order. # # Because the dispatch queue is halted until Glean is fully initialized # we can safely enqueue here and it will execute after initialization. _uniffi.glean_set_upload_enabled(enabled) @classmethod def set_experiment_active( cls, experiment_id: str, branch: str, extra: Optional[Dict[str, str]] = None ) -> None: """ Indicate that an experiment is running. Glean will then add an experiment annotation to the environment which is sent with pings. This information is not persisted between runs. Args: experiment_id (str): The id of the active experiment (maximum 100 bytes) branch (str): The experiment branch (maximum 100 bytes) extra (dict of str -> str): Optional metadata to output with the ping """ map = {} if extra is None else extra _uniffi.glean_set_experiment_active(experiment_id, branch, map) @classmethod def set_experiment_inactive(cls, experiment_id: str) -> None: """ Indicate that the experiment is no longer running. Args: experiment_id (str): The id of the experiment to deactivate. """ _uniffi.glean_set_experiment_inactive(experiment_id) @classmethod def test_is_experiment_active(cls, experiment_id: str) -> bool: """ Tests whether an experiment is active, for testing purposes only. Args: experiment_id (str): The id of the experiment to look for. Returns: is_active (bool): If the experiement is active and reported in pings. """ return _uniffi.glean_test_get_experiment_data(experiment_id) is not None @classmethod def test_get_experiment_data(cls, experiment_id: str) -> "RecordedExperiment": """ Returns the stored data for the requested active experiment, for testing purposes only. Args: experiment_id (str): The id of the experiment to look for. Returns: experiment_data (RecordedExperiment): The data associated with the experiment. """ data = _uniffi.glean_test_get_experiment_data(experiment_id) if data is not None: return data else: raise RuntimeError("Experiment data is not set") @classmethod def set_experimentation_id(cls, experimentation_id: str): """ Dynamically set the experimentation identifier, as opposed to setting it through the configuration during initialization. Args: experimentation_id (str): The string experimentation identifier to set """ _uniffi.glean_set_experimentation_id(experimentation_id) @classmethod def test_get_experimentation_id(cls) -> str: """ Returns the stored experimentation id, for testing purposes only. Returns: experimentation_id (str): The experimentation id set by the client. """ experimentation_id = _uniffi.glean_test_get_experimentation_id() if experimentation_id is not None: return experimentation_id else: raise RuntimeError("Experimentation id is not set") @classmethod def handle_client_active(cls): """ Performs the collection/cleanup operations required by becoming active. This functions generates a baseline ping with reason `active` and then sets the dirty bit. This should be called whenever the consuming product becomes active (e.g. getting to foreground). """ _uniffi.glean_handle_client_active() @classmethod def handle_client_inactive(cls): """ Performs the collection/cleanup operations required by becoming inactive. This functions generates a baseline and an events ping with reason `inactive` and then clears the dirty bit. This should be called whenever the consuming product becomes inactive (e.g. getting to background). """ _uniffi.glean_handle_client_inactive() @classmethod def shutdown(cls): """ Shuts down Glean in an orderly fashion. """ _uniffi.glean_shutdown() # On top of the Glean shutdown # we also wait for the process dispatcher to finish. ProcessDispatcher._wait_for_last_process()Static methods
def handle_client_active()-
Performs the collection/cleanup operations required by becoming active.
This functions generates a baseline ping with reason
activeand then sets the dirty bit. This should be called whenever the consuming product becomes active (e.g. getting to foreground).Expand source code
@classmethod def handle_client_active(cls): """ Performs the collection/cleanup operations required by becoming active. This functions generates a baseline ping with reason `active` and then sets the dirty bit. This should be called whenever the consuming product becomes active (e.g. getting to foreground). """ _uniffi.glean_handle_client_active() def handle_client_inactive()-
Performs the collection/cleanup operations required by becoming inactive.
This functions generates a baseline and an events ping with reason
inactiveand then clears the dirty bit. This should be called whenever the consuming product becomes inactive (e.g. getting to background).Expand source code
@classmethod def handle_client_inactive(cls): """ Performs the collection/cleanup operations required by becoming inactive. This functions generates a baseline and an events ping with reason `inactive` and then clears the dirty bit. This should be called whenever the consuming product becomes inactive (e.g. getting to background). """ _uniffi.glean_handle_client_inactive() def initialize(application_id: str, application_version: str, upload_enabled: bool, configuration: Optional[Configuration] = None, data_dir: Optional[pathlib.Path] = None, application_build_id: Optional[str] = None, log_level: Optional[int] = None) ‑> None-
Initialize the Glean SDK.
This should only be initialized once by the application, and not by libraries using the Glean SDK. A message is logged to error and no changes are made to the state if initialize is called a more than once.
Args
application_id:str- The application id to use when sending pings.
application_version:str- The version of the application sending Glean data. The meaning of this field is application-specific, but it is highly recommended to set this to something meaningful.
upload_enabled:bool- Controls whether telemetry is enabled. If disabled, all persisted metrics, events and queued pings (except first_run_date) are cleared.
configuration:Configuration- (optional) An object with global settings.
data_dir:pathlib.Path- The path to the Glean data directory.
application_build_id:str- (optional) The build identifier generated by the CI system (e.g. "1234/A").
log_level:int- (optional) The level of log messages that Glean
will emit. One of the constants in the Python
loggingmodule:DEBUG,INFO,WARNING,ERROR,CRITICAL. If you need a specialized logging configuration, such as to redirecting, filtering or reformatting, you should use the Pythonloggingmodule's API directly, but that will not affect logging any of Glean's networking operations which happen in a subprocess. Details in the "Debugging Python applications with the Glean SDK" chapter in the docs.
Expand source code
@classmethod def initialize( cls, application_id: str, application_version: str, upload_enabled: bool, configuration: Optional[Configuration] = None, data_dir: Optional[Path] = None, application_build_id: Optional[str] = None, log_level: Optional[int] = None, ) -> None: """ Initialize the Glean SDK. This should only be initialized once by the application, and not by libraries using the Glean SDK. A message is logged to error and no changes are made to the state if initialize is called a more than once. Args: application_id (str): The application id to use when sending pings. application_version (str): The version of the application sending Glean data. The meaning of this field is application-specific, but it is highly recommended to set this to something meaningful. upload_enabled (bool): Controls whether telemetry is enabled. If disabled, all persisted metrics, events and queued pings (except first_run_date) are cleared. configuration (glean.config.Configuration): (optional) An object with global settings. data_dir (pathlib.Path): The path to the Glean data directory. application_build_id (str): (optional) The build identifier generated by the CI system (e.g. "1234/A"). log_level (int): (optional) The level of log messages that Glean will emit. One of the constants in the Python `logging` module: `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`. If you need a specialized logging configuration, such as to redirecting, filtering or reformatting, you should use the Python `logging` module's API directly, but that will not affect logging any of Glean's networking operations which happen in a subprocess. Details in the "Debugging Python applications with the Glean SDK" chapter in the docs. """ if log_level is not None: cls._simple_log_level = log_level logging.basicConfig(level=log_level) with cls._thread_lock: if cls.is_initialized(): return atexit.register(Glean._reset) if configuration is None: configuration = Configuration() if data_dir is None: raise TypeError("data_dir must be provided") cls._data_dir = data_dir cls._destroy_data_dir = False cls._configuration = configuration cls._application_id = application_id if application_version is None: cls._application_version = "Unknown" else: cls._application_version = application_version if application_build_id is None: cls._application_build_id = "Unknown" else: cls._application_build_id = application_build_id # FIXME: Require user to pass in build-date dt = _uniffi.Datetime( year=1970, month=1, day=1, hour=0, minute=0, second=0, nanosecond=0, offset_seconds=0, ) client_info = _uniffi.ClientInfoMetrics( app_build=cls._application_build_id, app_display_version=cls._application_version, app_build_date=dt, channel=configuration.channel, architecture="Unknown", os_version="Unknown", locale=None, device_manufacturer=None, device_model=None, android_sdk_version=None, windows_build_number=None, ) callbacks = OnGleanEventsImpl(cls) cfg = _uniffi.InternalConfiguration( data_path=str(cls._data_dir), application_id=application_id, language_binding_name="Python", upload_enabled=upload_enabled, max_events=configuration.max_events, delay_ping_lifetime_io=False, use_core_mps=False, app_build=cls._application_build_id, trim_data_to_registered_pings=False, log_level=None, rate_limit=None, enable_event_timestamps=configuration.enable_event_timestamps, experimentation_id=configuration.experimentation_id, enable_internal_pings=configuration.enable_internal_pings, ) _uniffi.glean_initialize(cfg, client_info, callbacks) cls._initialized = True def is_initialized() ‑> bool-
Returns True if the Glean SDK has been initialized.
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@classmethod def is_initialized(cls) -> bool: """ Returns True if the Glean SDK has been initialized. """ return cls._initialized def set_experiment_active(experiment_id: str, branch: str, extra: Optional[Dict[str, str]] = None) ‑> None-
Indicate that an experiment is running. Glean will then add an experiment annotation to the environment which is sent with pings. This information is not persisted between runs.
Args
experiment_id:str- The id of the active experiment (maximum 100 bytes)
branch:str- The experiment branch (maximum 100 bytes)
extra (dict of str -> str): Optional metadata to output with the ping
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@classmethod def set_experiment_active( cls, experiment_id: str, branch: str, extra: Optional[Dict[str, str]] = None ) -> None: """ Indicate that an experiment is running. Glean will then add an experiment annotation to the environment which is sent with pings. This information is not persisted between runs. Args: experiment_id (str): The id of the active experiment (maximum 100 bytes) branch (str): The experiment branch (maximum 100 bytes) extra (dict of str -> str): Optional metadata to output with the ping """ map = {} if extra is None else extra _uniffi.glean_set_experiment_active(experiment_id, branch, map) def set_experiment_inactive(experiment_id: str) ‑> None-
Indicate that the experiment is no longer running.
Args
experiment_id:str- The id of the experiment to deactivate.
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@classmethod def set_experiment_inactive(cls, experiment_id: str) -> None: """ Indicate that the experiment is no longer running. Args: experiment_id (str): The id of the experiment to deactivate. """ _uniffi.glean_set_experiment_inactive(experiment_id) def set_experimentation_id(experimentation_id: str)-
Dynamically set the experimentation identifier, as opposed to setting it through the configuration during initialization.
Args
experimentation_id:str- The string experimentation identifier to set
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@classmethod def set_experimentation_id(cls, experimentation_id: str): """ Dynamically set the experimentation identifier, as opposed to setting it through the configuration during initialization. Args: experimentation_id (str): The string experimentation identifier to set """ _uniffi.glean_set_experimentation_id(experimentation_id) def set_upload_enabled(enabled: bool) ‑> None-
Enable or disable Glean collection and upload.
Metric collection is enabled by default.
When uploading is disabled, metrics aren't recorded at all and no data is uploaded.
When disabling, all pending metrics, events and queued pings are cleared.
When enabling, the core Glean metrics are recreated.
Args
enabled:bool- When True, enable metric collection.
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@classmethod def set_upload_enabled(cls, enabled: bool) -> None: """ Enable or disable Glean collection and upload. Metric collection is enabled by default. When uploading is disabled, metrics aren't recorded at all and no data is uploaded. When disabling, all pending metrics, events and queued pings are cleared. When enabling, the core Glean metrics are recreated. Args: enabled (bool): When True, enable metric collection. """ # Changing upload enabled always happens asynchronous. # That way it follows what a user expect when calling it inbetween other calls: # It executes in the right order. # # Because the dispatch queue is halted until Glean is fully initialized # we can safely enqueue here and it will execute after initialization. _uniffi.glean_set_upload_enabled(enabled) def shutdown()-
Shuts down Glean in an orderly fashion.
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@classmethod def shutdown(cls): """ Shuts down Glean in an orderly fashion. """ _uniffi.glean_shutdown() # On top of the Glean shutdown # we also wait for the process dispatcher to finish. ProcessDispatcher._wait_for_last_process() def test_get_experiment_data(experiment_id: str) ‑> RecordedExperiment-
Returns the stored data for the requested active experiment, for testing purposes only.
Args
experiment_id:str- The id of the experiment to look for.
Returns
experiment_data (RecordedExperiment): The data associated with the experiment.
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@classmethod def test_get_experiment_data(cls, experiment_id: str) -> "RecordedExperiment": """ Returns the stored data for the requested active experiment, for testing purposes only. Args: experiment_id (str): The id of the experiment to look for. Returns: experiment_data (RecordedExperiment): The data associated with the experiment. """ data = _uniffi.glean_test_get_experiment_data(experiment_id) if data is not None: return data else: raise RuntimeError("Experiment data is not set") def test_get_experimentation_id() ‑> str-
Returns the stored experimentation id, for testing purposes only.
Returns
experimentation_id (str): The experimentation id set by the client.
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@classmethod def test_get_experimentation_id(cls) -> str: """ Returns the stored experimentation id, for testing purposes only. Returns: experimentation_id (str): The experimentation id set by the client. """ experimentation_id = _uniffi.glean_test_get_experimentation_id() if experimentation_id is not None: return experimentation_id else: raise RuntimeError("Experimentation id is not set") def test_is_experiment_active(experiment_id: str) ‑> bool-
Tests whether an experiment is active, for testing purposes only.
Args
experiment_id:str- The id of the experiment to look for.
Returns
is_active (bool): If the experiement is active and reported in pings.
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@classmethod def test_is_experiment_active(cls, experiment_id: str) -> bool: """ Tests whether an experiment is active, for testing purposes only. Args: experiment_id (str): The id of the experiment to look for. Returns: is_active (bool): If the experiement is active and reported in pings. """ return _uniffi.glean_test_get_experiment_data(experiment_id) is not None
Instance variables
var configuration-
Decorator for creating a property on a class (rather than an instance).
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def __get__(self, obj, owner): return self.f(owner)