Module `glean.metrics.memory_distribution`

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/.


from typing import List, Optional


from .. import _ffi
from .._dispatcher import Dispatcher
from ..testing import ErrorType


from .distribution_data import DistributionData
from .lifetime import Lifetime
from .memoryunit import MemoryUnit


class MemoryDistributionMetricType:
    """
    This implements the developer facing API for recording memory distribution
    metrics.

    Instances of this class type are automatically generated by
    `glean.load_metrics`, allowing developers to record values that were
    previously registered in the metrics.yaml file.
    """

    def __init__(
        self,
        disabled: bool,
        category: str,
        lifetime: Lifetime,
        name: str,
        send_in_pings: List[str],
        memory_unit: MemoryUnit,
    ):
        self._disabled = disabled
        self._send_in_pings = send_in_pings

        self._handle = _ffi.lib.glean_new_memory_distribution_metric(
            _ffi.ffi_encode_string(category),
            _ffi.ffi_encode_string(name),
            _ffi.ffi_encode_vec_string(send_in_pings),
            len(send_in_pings),
            lifetime.value,
            disabled,
            memory_unit.value,
        )

    def __del__(self):
        if getattr(self, "_handle", 0) != 0:
            _ffi.lib.glean_destroy_memory_distribution_metric(self._handle)

    def accumulate(self, sample: int) -> None:
        """
        Record a single value, in the unit specified by `memory_unit`, to the distribution.

        Args:
            sample: The value to record.
        """
        if self._disabled:
            return None

        @Dispatcher.launch
        def accumulate():
            return _ffi.lib.glean_memory_distribution_accumulate(self._handle, sample)

    def test_has_value(self, ping_name: Optional[str] = None) -> bool:
        """
        Tests whether a value is stored for the metric for testing purposes
        only.

        Args:
            ping_name (str): (default: first value in send_in_pings) The name
                of the ping to retrieve the metric for.

        Returns:
            has_value (bool): True if the metric value exists.
        """
        if ping_name is None:
            ping_name = self._send_in_pings[0]

        return bool(
            _ffi.lib.glean_memory_distribution_test_has_value(
                self._handle, _ffi.ffi_encode_string(ping_name)
            )
        )

    def test_get_value(self, ping_name: Optional[str] = None) -> DistributionData:
        """
        Returns the stored value for testing purposes only.

        Args:
            ping_name (str): (default: first value in send_in_pings) The name
                of the ping to retrieve the metric for.

        Returns:
            value (DistriubutionData): value of the stored metric.
        """
        if ping_name is None:
            ping_name = self._send_in_pings[0]

        if not self.test_has_value(ping_name):
            raise ValueError("metric has no value")

        return DistributionData.from_json_string(
            _ffi.ffi_decode_string(
                _ffi.lib.glean_memory_distribution_test_get_value_as_json_string(
                    self._handle, _ffi.ffi_encode_string(ping_name)
                )
            )
        )

    def test_get_num_recorded_errors(
        self, error_type: ErrorType, ping_name: Optional[str] = None
    ) -> int:
        """
        Returns the number of errors recorded for the given metric.

        Args:
            error_type (ErrorType): The type of error recorded.
            ping_name (str): (default: first value in send_in_pings) The name
                of the ping to retrieve the metric for.

        Returns:
            num_errors (int): The number of errors recorded for the metric for
                the given error type.
        """
        if ping_name is None:
            ping_name = self._send_in_pings[0]

        return _ffi.lib.glean_memory_distribution_test_get_num_recorded_errors(
            self._handle,
            error_type.value,
            _ffi.ffi_encode_string(ping_name),
        )


__all__ = ["MemoryDistributionMetricType"]

Classes

class MemoryDistributionMetricType (disabled: bool, category: str, lifetime: Lifetime, name: str, send_in_pings: List[str], memory_unit: MemoryUnit)

This implements the developer facing API for recording memory distribution metrics.

Instances of this class type are automatically generated by load_metrics(), allowing developers to record values that were previously registered in the metrics.yaml file.

Expand source code

class MemoryDistributionMetricType:
    """
    This implements the developer facing API for recording memory distribution
    metrics.

    Instances of this class type are automatically generated by
    `glean.load_metrics`, allowing developers to record values that were
    previously registered in the metrics.yaml file.
    """

    def __init__(
        self,
        disabled: bool,
        category: str,
        lifetime: Lifetime,
        name: str,
        send_in_pings: List[str],
        memory_unit: MemoryUnit,
    ):
        self._disabled = disabled
        self._send_in_pings = send_in_pings

        self._handle = _ffi.lib.glean_new_memory_distribution_metric(
            _ffi.ffi_encode_string(category),
            _ffi.ffi_encode_string(name),
            _ffi.ffi_encode_vec_string(send_in_pings),
            len(send_in_pings),
            lifetime.value,
            disabled,
            memory_unit.value,
        )

    def __del__(self):
        if getattr(self, "_handle", 0) != 0:
            _ffi.lib.glean_destroy_memory_distribution_metric(self._handle)

    def accumulate(self, sample: int) -> None:
        """
        Record a single value, in the unit specified by `memory_unit`, to the distribution.

        Args:
            sample: The value to record.
        """
        if self._disabled:
            return None

        @Dispatcher.launch
        def accumulate():
            return _ffi.lib.glean_memory_distribution_accumulate(self._handle, sample)

    def test_has_value(self, ping_name: Optional[str] = None) -> bool:
        """
        Tests whether a value is stored for the metric for testing purposes
        only.

        Args:
            ping_name (str): (default: first value in send_in_pings) The name
                of the ping to retrieve the metric for.

        Returns:
            has_value (bool): True if the metric value exists.
        """
        if ping_name is None:
            ping_name = self._send_in_pings[0]

        return bool(
            _ffi.lib.glean_memory_distribution_test_has_value(
                self._handle, _ffi.ffi_encode_string(ping_name)
            )
        )

    def test_get_value(self, ping_name: Optional[str] = None) -> DistributionData:
        """
        Returns the stored value for testing purposes only.

        Args:
            ping_name (str): (default: first value in send_in_pings) The name
                of the ping to retrieve the metric for.

        Returns:
            value (DistriubutionData): value of the stored metric.
        """
        if ping_name is None:
            ping_name = self._send_in_pings[0]

        if not self.test_has_value(ping_name):
            raise ValueError("metric has no value")

        return DistributionData.from_json_string(
            _ffi.ffi_decode_string(
                _ffi.lib.glean_memory_distribution_test_get_value_as_json_string(
                    self._handle, _ffi.ffi_encode_string(ping_name)
                )
            )
        )

    def test_get_num_recorded_errors(
        self, error_type: ErrorType, ping_name: Optional[str] = None
    ) -> int:
        """
        Returns the number of errors recorded for the given metric.

        Args:
            error_type (ErrorType): The type of error recorded.
            ping_name (str): (default: first value in send_in_pings) The name
                of the ping to retrieve the metric for.

        Returns:
            num_errors (int): The number of errors recorded for the metric for
                the given error type.
        """
        if ping_name is None:
            ping_name = self._send_in_pings[0]

        return _ffi.lib.glean_memory_distribution_test_get_num_recorded_errors(
            self._handle,
            error_type.value,
            _ffi.ffi_encode_string(ping_name),
        )

Methods

def accumulate(self, sample: int) ‑> NoneType

Record a single value, in the unit specified by memory_unit, to the distribution.

Args

sample: The value to record.

Expand source code

def accumulate(self, sample: int) -> None:
    """
    Record a single value, in the unit specified by `memory_unit`, to the distribution.

    Args:
        sample: The value to record.
    """
    if self._disabled:
        return None

    @Dispatcher.launch
    def accumulate():
        return _ffi.lib.glean_memory_distribution_accumulate(self._handle, sample)

def test_get_num_recorded_errors(self, error_type: ErrorType, ping_name: Union[str, NoneType] = None) ‑> int

Returns the number of errors recorded for the given metric.

Args

error_type : ErrorType: The type of error recorded.
ping_name : str: (default: first value in send_in_pings) The name of the ping to retrieve the metric for.

Returns

num_errors (int): The number of errors recorded for the metric for the given error type.

Expand source code

def test_get_num_recorded_errors(
    self, error_type: ErrorType, ping_name: Optional[str] = None
) -> int:
    """
    Returns the number of errors recorded for the given metric.

    Args:
        error_type (ErrorType): The type of error recorded.
        ping_name (str): (default: first value in send_in_pings) The name
            of the ping to retrieve the metric for.

    Returns:
        num_errors (int): The number of errors recorded for the metric for
            the given error type.
    """
    if ping_name is None:
        ping_name = self._send_in_pings[0]

    return _ffi.lib.glean_memory_distribution_test_get_num_recorded_errors(
        self._handle,
        error_type.value,
        _ffi.ffi_encode_string(ping_name),
    )

def test_get_value(self, ping_name: Union[str, NoneType] = None) ‑> DistributionData

Returns the stored value for testing purposes only.

Args

ping_name : str: (default: first value in send_in_pings) The name of the ping to retrieve the metric for.

Returns

value (DistriubutionData): value of the stored metric.

Expand source code

def test_get_value(self, ping_name: Optional[str] = None) -> DistributionData:
    """
    Returns the stored value for testing purposes only.

    Args:
        ping_name (str): (default: first value in send_in_pings) The name
            of the ping to retrieve the metric for.

    Returns:
        value (DistriubutionData): value of the stored metric.
    """
    if ping_name is None:
        ping_name = self._send_in_pings[0]

    if not self.test_has_value(ping_name):
        raise ValueError("metric has no value")

    return DistributionData.from_json_string(
        _ffi.ffi_decode_string(
            _ffi.lib.glean_memory_distribution_test_get_value_as_json_string(
                self._handle, _ffi.ffi_encode_string(ping_name)
            )
        )
    )

def test_has_value(self, ping_name: Union[str, NoneType] = None) ‑> bool

Tests whether a value is stored for the metric for testing purposes only.

Args

ping_name : str: (default: first value in send_in_pings) The name of the ping to retrieve the metric for.

Returns

has_value (bool): True if the metric value exists.

Expand source code

def test_has_value(self, ping_name: Optional[str] = None) -> bool:
    """
    Tests whether a value is stored for the metric for testing purposes
    only.

    Args:
        ping_name (str): (default: first value in send_in_pings) The name
            of the ping to retrieve the metric for.

    Returns:
        has_value (bool): True if the metric value exists.
    """
    if ping_name is None:
        ping_name = self._send_in_pings[0]

    return bool(
        _ffi.lib.glean_memory_distribution_test_has_value(
            self._handle, _ffi.ffi_encode_string(ping_name)
        )
    )