Module glean.metrics.quantity

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 .lifetime import Lifetime


class QuantityMetricType:
    """
    This implements the developer facing API for recording quantity 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.

    The quantity API only exposes the `QuantityMetricType.set` method, which
    takes care of validating the input data and making sure that limits are
    enforced.
    """

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

        self._handle = _ffi.lib.glean_new_quantity_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,
        )

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

    def set(self, value: int) -> None:
        """
        Set a quantity value.

        Args:
            value (int): The value to set. Must be non-negative.
        """
        if self._disabled:
            return

        @Dispatcher.launch
        def set():
            _ffi.lib.glean_quantity_set(self._handle, value)

    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_quantity_test_has_value(
                self._handle, _ffi.ffi_encode_string(ping_name)
            )
        )

    def test_get_value(self, ping_name: Optional[str] = None) -> int:
        """
        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 (int): 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 _ffi.lib.glean_quantity_test_get_value(
            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_quantity_test_get_num_recorded_errors(
            self._handle,
            error_type.value,
            _ffi.ffi_encode_string(ping_name),
        )


__all__ = ["QuantityMetricType"]

Classes

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

This implements the developer facing API for recording quantity 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.

The quantity API only exposes the QuantityMetricType.set() method, which takes care of validating the input data and making sure that limits are enforced.

Expand source code
class QuantityMetricType:
    """
    This implements the developer facing API for recording quantity 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.

    The quantity API only exposes the `QuantityMetricType.set` method, which
    takes care of validating the input data and making sure that limits are
    enforced.
    """

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

        self._handle = _ffi.lib.glean_new_quantity_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,
        )

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

    def set(self, value: int) -> None:
        """
        Set a quantity value.

        Args:
            value (int): The value to set. Must be non-negative.
        """
        if self._disabled:
            return

        @Dispatcher.launch
        def set():
            _ffi.lib.glean_quantity_set(self._handle, value)

    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_quantity_test_has_value(
                self._handle, _ffi.ffi_encode_string(ping_name)
            )
        )

    def test_get_value(self, ping_name: Optional[str] = None) -> int:
        """
        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 (int): 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 _ffi.lib.glean_quantity_test_get_value(
            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_quantity_test_get_num_recorded_errors(
            self._handle,
            error_type.value,
            _ffi.ffi_encode_string(ping_name),
        )

Methods

def set(self, value: int) ‑> None

Set a quantity value.

Args

value : int
The value to set. Must be non-negative.
Expand source code
def set(self, value: int) -> None:
    """
    Set a quantity value.

    Args:
        value (int): The value to set. Must be non-negative.
    """
    if self._disabled:
        return

    @Dispatcher.launch
    def set():
        _ffi.lib.glean_quantity_set(self._handle, value)
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.

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_quantity_test_get_num_recorded_errors(
        self._handle,
        error_type.value,
        _ffi.ffi_encode_string(ping_name),
    )
def test_get_value(self, ping_name: Optional[str] = None) ‑> int

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 (int): value of the stored metric.

Expand source code
def test_get_value(self, ping_name: Optional[str] = None) -> int:
    """
    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 (int): 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 _ffi.lib.glean_quantity_test_get_value(
        self._handle, _ffi.ffi_encode_string(ping_name)
    )
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.

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_quantity_test_has_value(
            self._handle, _ffi.ffi_encode_string(ping_name)
        )
    )