profiler

ConsoleProfileFinished dataclass

Source code in zendriver/cdp/profiler.py

@event_class("Profiler.consoleProfileFinished")
@dataclass
class ConsoleProfileFinished:
    id_: str
    #: Location of console.profileEnd().
    location: debugger.Location
    profile: Profile
    #: Profile title passed as an argument to console.profile().
    title: typing.Optional[str]

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> ConsoleProfileFinished:
        return cls(
            id_=str(json["id"]),
            location=debugger.Location.from_json(json["location"]),
            profile=Profile.from_json(json["profile"]),
            title=str(json["title"]) if json.get("title", None) is not None else None,
        )

id_: str instance-attribute

location: debugger.Location instance-attribute

profile: Profile instance-attribute

title: typing.Optional[str] instance-attribute

__init__(id_, location, profile, title)

from_json(json) classmethod

Source code in zendriver/cdp/profiler.py

@classmethod
def from_json(cls, json: T_JSON_DICT) -> ConsoleProfileFinished:
    return cls(
        id_=str(json["id"]),
        location=debugger.Location.from_json(json["location"]),
        profile=Profile.from_json(json["profile"]),
        title=str(json["title"]) if json.get("title", None) is not None else None,
    )

ConsoleProfileStarted dataclass

Sent when new profile recording is started using console.profile() call.

Source code in zendriver/cdp/profiler.py

@event_class("Profiler.consoleProfileStarted")
@dataclass
class ConsoleProfileStarted:
    """
    Sent when new profile recording is started using console.profile() call.
    """

    id_: str
    #: Location of console.profile().
    location: debugger.Location
    #: Profile title passed as an argument to console.profile().
    title: typing.Optional[str]

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> ConsoleProfileStarted:
        return cls(
            id_=str(json["id"]),
            location=debugger.Location.from_json(json["location"]),
            title=str(json["title"]) if json.get("title", None) is not None else None,
        )

id_: str instance-attribute

location: debugger.Location instance-attribute

title: typing.Optional[str] instance-attribute

__init__(id_, location, title)

from_json(json) classmethod

Source code in zendriver/cdp/profiler.py

@classmethod
def from_json(cls, json: T_JSON_DICT) -> ConsoleProfileStarted:
    return cls(
        id_=str(json["id"]),
        location=debugger.Location.from_json(json["location"]),
        title=str(json["title"]) if json.get("title", None) is not None else None,
    )

CoverageRange dataclass

Coverage data for a source range.

Source code in zendriver/cdp/profiler.py

@dataclass
class CoverageRange:
    """
    Coverage data for a source range.
    """

    #: JavaScript script source offset for the range start.
    start_offset: int

    #: JavaScript script source offset for the range end.
    end_offset: int

    #: Collected execution count of the source range.
    count: int

    def to_json(self) -> T_JSON_DICT:
        json: T_JSON_DICT = dict()
        json["startOffset"] = self.start_offset
        json["endOffset"] = self.end_offset
        json["count"] = self.count
        return json

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> CoverageRange:
        return cls(
            start_offset=int(json["startOffset"]),
            end_offset=int(json["endOffset"]),
            count=int(json["count"]),
        )

count: int instance-attribute

end_offset: int instance-attribute

start_offset: int instance-attribute

__init__(start_offset, end_offset, count)

from_json(json) classmethod

Source code in zendriver/cdp/profiler.py

@classmethod
def from_json(cls, json: T_JSON_DICT) -> CoverageRange:
    return cls(
        start_offset=int(json["startOffset"]),
        end_offset=int(json["endOffset"]),
        count=int(json["count"]),
    )

to_json()

Source code in zendriver/cdp/profiler.py

def to_json(self) -> T_JSON_DICT:
    json: T_JSON_DICT = dict()
    json["startOffset"] = self.start_offset
    json["endOffset"] = self.end_offset
    json["count"] = self.count
    return json

FunctionCoverage dataclass

Coverage data for a JavaScript function.

Source code in zendriver/cdp/profiler.py

@dataclass
class FunctionCoverage:
    """
    Coverage data for a JavaScript function.
    """

    #: JavaScript function name.
    function_name: str

    #: Source ranges inside the function with coverage data.
    ranges: typing.List[CoverageRange]

    #: Whether coverage data for this function has block granularity.
    is_block_coverage: bool

    def to_json(self) -> T_JSON_DICT:
        json: T_JSON_DICT = dict()
        json["functionName"] = self.function_name
        json["ranges"] = [i.to_json() for i in self.ranges]
        json["isBlockCoverage"] = self.is_block_coverage
        return json

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> FunctionCoverage:
        return cls(
            function_name=str(json["functionName"]),
            ranges=[CoverageRange.from_json(i) for i in json["ranges"]],
            is_block_coverage=bool(json["isBlockCoverage"]),
        )

function_name: str instance-attribute

is_block_coverage: bool instance-attribute

ranges: typing.List[CoverageRange] instance-attribute

__init__(function_name, ranges, is_block_coverage)

from_json(json) classmethod

Source code in zendriver/cdp/profiler.py

@classmethod
def from_json(cls, json: T_JSON_DICT) -> FunctionCoverage:
    return cls(
        function_name=str(json["functionName"]),
        ranges=[CoverageRange.from_json(i) for i in json["ranges"]],
        is_block_coverage=bool(json["isBlockCoverage"]),
    )

to_json()

Source code in zendriver/cdp/profiler.py

def to_json(self) -> T_JSON_DICT:
    json: T_JSON_DICT = dict()
    json["functionName"] = self.function_name
    json["ranges"] = [i.to_json() for i in self.ranges]
    json["isBlockCoverage"] = self.is_block_coverage
    return json

PositionTickInfo dataclass

Specifies a number of samples attributed to a certain source position.

Source code in zendriver/cdp/profiler.py

@dataclass
class PositionTickInfo:
    """
    Specifies a number of samples attributed to a certain source position.
    """

    #: Source line number (1-based).
    line: int

    #: Number of samples attributed to the source line.
    ticks: int

    def to_json(self) -> T_JSON_DICT:
        json: T_JSON_DICT = dict()
        json["line"] = self.line
        json["ticks"] = self.ticks
        return json

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> PositionTickInfo:
        return cls(
            line=int(json["line"]),
            ticks=int(json["ticks"]),
        )

line: int instance-attribute

ticks: int instance-attribute

__init__(line, ticks)

from_json(json) classmethod

Source code in zendriver/cdp/profiler.py

@classmethod
def from_json(cls, json: T_JSON_DICT) -> PositionTickInfo:
    return cls(
        line=int(json["line"]),
        ticks=int(json["ticks"]),
    )

to_json()

Source code in zendriver/cdp/profiler.py

def to_json(self) -> T_JSON_DICT:
    json: T_JSON_DICT = dict()
    json["line"] = self.line
    json["ticks"] = self.ticks
    return json

PreciseCoverageDeltaUpdate dataclass

EXPERIMENTAL

Reports coverage delta since the last poll (either from an event like this, or from takePreciseCoverage for the current isolate. May only be sent if precise code coverage has been started. This event can be trigged by the embedder to, for example, trigger collection of coverage data immediately at a certain point in time.

Source code in zendriver/cdp/profiler.py

@event_class("Profiler.preciseCoverageDeltaUpdate")
@dataclass
class PreciseCoverageDeltaUpdate:
    """
    **EXPERIMENTAL**

    Reports coverage delta since the last poll (either from an event like this, or from
    ``takePreciseCoverage`` for the current isolate. May only be sent if precise code
    coverage has been started. This event can be trigged by the embedder to, for example,
    trigger collection of coverage data immediately at a certain point in time.
    """

    #: Monotonically increasing time (in seconds) when the coverage update was taken in the backend.
    timestamp: float
    #: Identifier for distinguishing coverage events.
    occasion: str
    #: Coverage data for the current isolate.
    result: typing.List[ScriptCoverage]

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> PreciseCoverageDeltaUpdate:
        return cls(
            timestamp=float(json["timestamp"]),
            occasion=str(json["occasion"]),
            result=[ScriptCoverage.from_json(i) for i in json["result"]],
        )

occasion: str instance-attribute

result: typing.List[ScriptCoverage] instance-attribute

timestamp: float instance-attribute

__init__(timestamp, occasion, result)

from_json(json) classmethod

Source code in zendriver/cdp/profiler.py

@classmethod
def from_json(cls, json: T_JSON_DICT) -> PreciseCoverageDeltaUpdate:
    return cls(
        timestamp=float(json["timestamp"]),
        occasion=str(json["occasion"]),
        result=[ScriptCoverage.from_json(i) for i in json["result"]],
    )

Profile dataclass

Profile.

Source code in zendriver/cdp/profiler.py

@dataclass
class Profile:
    """
    Profile.
    """

    #: The list of profile nodes. First item is the root node.
    nodes: typing.List[ProfileNode]

    #: Profiling start timestamp in microseconds.
    start_time: float

    #: Profiling end timestamp in microseconds.
    end_time: float

    #: Ids of samples top nodes.
    samples: typing.Optional[typing.List[int]] = None

    #: Time intervals between adjacent samples in microseconds. The first delta is relative to the
    #: profile startTime.
    time_deltas: typing.Optional[typing.List[int]] = None

    def to_json(self) -> T_JSON_DICT:
        json: T_JSON_DICT = dict()
        json["nodes"] = [i.to_json() for i in self.nodes]
        json["startTime"] = self.start_time
        json["endTime"] = self.end_time
        if self.samples is not None:
            json["samples"] = [i for i in self.samples]
        if self.time_deltas is not None:
            json["timeDeltas"] = [i for i in self.time_deltas]
        return json

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> Profile:
        return cls(
            nodes=[ProfileNode.from_json(i) for i in json["nodes"]],
            start_time=float(json["startTime"]),
            end_time=float(json["endTime"]),
            samples=[int(i) for i in json["samples"]]
            if json.get("samples", None) is not None
            else None,
            time_deltas=[int(i) for i in json["timeDeltas"]]
            if json.get("timeDeltas", None) is not None
            else None,
        )

end_time: float instance-attribute

nodes: typing.List[ProfileNode] instance-attribute

samples: typing.Optional[typing.List[int]] = None class-attribute instance-attribute

start_time: float instance-attribute

time_deltas: typing.Optional[typing.List[int]] = None class-attribute instance-attribute

__init__(nodes, start_time, end_time, samples=None, time_deltas=None)

from_json(json) classmethod

Source code in zendriver/cdp/profiler.py

@classmethod
def from_json(cls, json: T_JSON_DICT) -> Profile:
    return cls(
        nodes=[ProfileNode.from_json(i) for i in json["nodes"]],
        start_time=float(json["startTime"]),
        end_time=float(json["endTime"]),
        samples=[int(i) for i in json["samples"]]
        if json.get("samples", None) is not None
        else None,
        time_deltas=[int(i) for i in json["timeDeltas"]]
        if json.get("timeDeltas", None) is not None
        else None,
    )

to_json()

Source code in zendriver/cdp/profiler.py

def to_json(self) -> T_JSON_DICT:
    json: T_JSON_DICT = dict()
    json["nodes"] = [i.to_json() for i in self.nodes]
    json["startTime"] = self.start_time
    json["endTime"] = self.end_time
    if self.samples is not None:
        json["samples"] = [i for i in self.samples]
    if self.time_deltas is not None:
        json["timeDeltas"] = [i for i in self.time_deltas]
    return json

ProfileNode dataclass

Profile node. Holds callsite information, execution statistics and child nodes.

Source code in zendriver/cdp/profiler.py

@dataclass
class ProfileNode:
    """
    Profile node. Holds callsite information, execution statistics and child nodes.
    """

    #: Unique id of the node.
    id_: int

    #: Function location.
    call_frame: runtime.CallFrame

    #: Number of samples where this node was on top of the call stack.
    hit_count: typing.Optional[int] = None

    #: Child node ids.
    children: typing.Optional[typing.List[int]] = None

    #: The reason of being not optimized. The function may be deoptimized or marked as don't
    #: optimize.
    deopt_reason: typing.Optional[str] = None

    #: An array of source position ticks.
    position_ticks: typing.Optional[typing.List[PositionTickInfo]] = None

    def to_json(self) -> T_JSON_DICT:
        json: T_JSON_DICT = dict()
        json["id"] = self.id_
        json["callFrame"] = self.call_frame.to_json()
        if self.hit_count is not None:
            json["hitCount"] = self.hit_count
        if self.children is not None:
            json["children"] = [i for i in self.children]
        if self.deopt_reason is not None:
            json["deoptReason"] = self.deopt_reason
        if self.position_ticks is not None:
            json["positionTicks"] = [i.to_json() for i in self.position_ticks]
        return json

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> ProfileNode:
        return cls(
            id_=int(json["id"]),
            call_frame=runtime.CallFrame.from_json(json["callFrame"]),
            hit_count=int(json["hitCount"])
            if json.get("hitCount", None) is not None
            else None,
            children=[int(i) for i in json["children"]]
            if json.get("children", None) is not None
            else None,
            deopt_reason=str(json["deoptReason"])
            if json.get("deoptReason", None) is not None
            else None,
            position_ticks=[
                PositionTickInfo.from_json(i) for i in json["positionTicks"]
            ]
            if json.get("positionTicks", None) is not None
            else None,
        )

call_frame: runtime.CallFrame instance-attribute

children: typing.Optional[typing.List[int]] = None class-attribute instance-attribute

deopt_reason: typing.Optional[str] = None class-attribute instance-attribute

hit_count: typing.Optional[int] = None class-attribute instance-attribute

id_: int instance-attribute

position_ticks: typing.Optional[typing.List[PositionTickInfo]] = None class-attribute instance-attribute

__init__(id_, call_frame, hit_count=None, children=None, deopt_reason=None, position_ticks=None)

from_json(json) classmethod

Source code in zendriver/cdp/profiler.py

@classmethod
def from_json(cls, json: T_JSON_DICT) -> ProfileNode:
    return cls(
        id_=int(json["id"]),
        call_frame=runtime.CallFrame.from_json(json["callFrame"]),
        hit_count=int(json["hitCount"])
        if json.get("hitCount", None) is not None
        else None,
        children=[int(i) for i in json["children"]]
        if json.get("children", None) is not None
        else None,
        deopt_reason=str(json["deoptReason"])
        if json.get("deoptReason", None) is not None
        else None,
        position_ticks=[
            PositionTickInfo.from_json(i) for i in json["positionTicks"]
        ]
        if json.get("positionTicks", None) is not None
        else None,
    )

to_json()

Source code in zendriver/cdp/profiler.py

def to_json(self) -> T_JSON_DICT:
    json: T_JSON_DICT = dict()
    json["id"] = self.id_
    json["callFrame"] = self.call_frame.to_json()
    if self.hit_count is not None:
        json["hitCount"] = self.hit_count
    if self.children is not None:
        json["children"] = [i for i in self.children]
    if self.deopt_reason is not None:
        json["deoptReason"] = self.deopt_reason
    if self.position_ticks is not None:
        json["positionTicks"] = [i.to_json() for i in self.position_ticks]
    return json

ScriptCoverage dataclass

Coverage data for a JavaScript script.

Source code in zendriver/cdp/profiler.py

@dataclass
class ScriptCoverage:
    """
    Coverage data for a JavaScript script.
    """

    #: JavaScript script id.
    script_id: runtime.ScriptId

    #: JavaScript script name or url.
    url: str

    #: Functions contained in the script that has coverage data.
    functions: typing.List[FunctionCoverage]

    def to_json(self) -> T_JSON_DICT:
        json: T_JSON_DICT = dict()
        json["scriptId"] = self.script_id.to_json()
        json["url"] = self.url
        json["functions"] = [i.to_json() for i in self.functions]
        return json

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> ScriptCoverage:
        return cls(
            script_id=runtime.ScriptId.from_json(json["scriptId"]),
            url=str(json["url"]),
            functions=[FunctionCoverage.from_json(i) for i in json["functions"]],
        )

functions: typing.List[FunctionCoverage] instance-attribute

script_id: runtime.ScriptId instance-attribute

url: str instance-attribute

__init__(script_id, url, functions)

from_json(json) classmethod

Source code in zendriver/cdp/profiler.py

@classmethod
def from_json(cls, json: T_JSON_DICT) -> ScriptCoverage:
    return cls(
        script_id=runtime.ScriptId.from_json(json["scriptId"]),
        url=str(json["url"]),
        functions=[FunctionCoverage.from_json(i) for i in json["functions"]],
    )

to_json()

Source code in zendriver/cdp/profiler.py

def to_json(self) -> T_JSON_DICT:
    json: T_JSON_DICT = dict()
    json["scriptId"] = self.script_id.to_json()
    json["url"] = self.url
    json["functions"] = [i.to_json() for i in self.functions]
    return json

disable()

Source code in zendriver/cdp/profiler.py

def disable() -> typing.Generator[T_JSON_DICT, T_JSON_DICT, None]:
    cmd_dict: T_JSON_DICT = {
        "method": "Profiler.disable",
    }
    json = yield cmd_dict

enable()

Source code in zendriver/cdp/profiler.py

def enable() -> typing.Generator[T_JSON_DICT, T_JSON_DICT, None]:
    cmd_dict: T_JSON_DICT = {
        "method": "Profiler.enable",
    }
    json = yield cmd_dict

get_best_effort_coverage()

Collect coverage data for the current isolate. The coverage data may be incomplete due to garbage collection.

Returns:

Type	Description
Generator[T_JSON_DICT, T_JSON_DICT, List[ScriptCoverage]]	Coverage data for the current isolate.

Source code in zendriver/cdp/profiler.py

def get_best_effort_coverage() -> (
    typing.Generator[T_JSON_DICT, T_JSON_DICT, typing.List[ScriptCoverage]]
):
    """
    Collect coverage data for the current isolate. The coverage data may be incomplete due to
    garbage collection.

    :returns: Coverage data for the current isolate.
    """
    cmd_dict: T_JSON_DICT = {
        "method": "Profiler.getBestEffortCoverage",
    }
    json = yield cmd_dict
    return [ScriptCoverage.from_json(i) for i in json["result"]]

set_sampling_interval(interval)

Changes CPU profiler sampling interval. Must be called before CPU profiles recording started.

Parameters:

Name	Type	Description	Default
interval	int	New sampling interval in microseconds.	required

Source code in zendriver/cdp/profiler.py

def set_sampling_interval(
    interval: int,
) -> typing.Generator[T_JSON_DICT, T_JSON_DICT, None]:
    """
    Changes CPU profiler sampling interval. Must be called before CPU profiles recording started.

    :param interval: New sampling interval in microseconds.
    """
    params: T_JSON_DICT = dict()
    params["interval"] = interval
    cmd_dict: T_JSON_DICT = {
        "method": "Profiler.setSamplingInterval",
        "params": params,
    }
    json = yield cmd_dict

start()

Source code in zendriver/cdp/profiler.py

def start() -> typing.Generator[T_JSON_DICT, T_JSON_DICT, None]:
    cmd_dict: T_JSON_DICT = {
        "method": "Profiler.start",
    }
    json = yield cmd_dict

start_precise_coverage(call_count=None, detailed=None, allow_triggered_updates=None)

Enable precise code coverage. Coverage data for JavaScript executed before enabling precise code coverage may be incomplete. Enabling prevents running optimized code and resets execution counters.

Parameters:

Name	Type	Description	Default
call_count	Optional[bool]	(Optional) Collect accurate call counts beyond simple 'covered' or 'not covered'.	None
detailed	Optional[bool]	(Optional) Collect block-based coverage.	None
allow_triggered_updates	Optional[bool]	(Optional) Allow the backend to send updates on its own initiative	None

Returns:

Type	Description
Generator[T_JSON_DICT, T_JSON_DICT, float]	Monotonically increasing time (in seconds) when the coverage update was taken in the backend.

Source code in zendriver/cdp/profiler.py

def start_precise_coverage(
    call_count: typing.Optional[bool] = None,
    detailed: typing.Optional[bool] = None,
    allow_triggered_updates: typing.Optional[bool] = None,
) -> typing.Generator[T_JSON_DICT, T_JSON_DICT, float]:
    """
    Enable precise code coverage. Coverage data for JavaScript executed before enabling precise code
    coverage may be incomplete. Enabling prevents running optimized code and resets execution
    counters.

    :param call_count: *(Optional)* Collect accurate call counts beyond simple 'covered' or 'not covered'.
    :param detailed: *(Optional)* Collect block-based coverage.
    :param allow_triggered_updates: *(Optional)* Allow the backend to send updates on its own initiative
    :returns: Monotonically increasing time (in seconds) when the coverage update was taken in the backend.
    """
    params: T_JSON_DICT = dict()
    if call_count is not None:
        params["callCount"] = call_count
    if detailed is not None:
        params["detailed"] = detailed
    if allow_triggered_updates is not None:
        params["allowTriggeredUpdates"] = allow_triggered_updates
    cmd_dict: T_JSON_DICT = {
        "method": "Profiler.startPreciseCoverage",
        "params": params,
    }
    json = yield cmd_dict
    return float(json["timestamp"])

stop()

Returns:

Type	Description
Generator[T_JSON_DICT, T_JSON_DICT, Profile]	Recorded profile.

Source code in zendriver/cdp/profiler.py

def stop() -> typing.Generator[T_JSON_DICT, T_JSON_DICT, Profile]:
    """


    :returns: Recorded profile.
    """
    cmd_dict: T_JSON_DICT = {
        "method": "Profiler.stop",
    }
    json = yield cmd_dict
    return Profile.from_json(json["profile"])

stop_precise_coverage()

Disable precise code coverage. Disabling releases unnecessary execution count records and allows executing optimized code.

Source code in zendriver/cdp/profiler.py

def stop_precise_coverage() -> typing.Generator[T_JSON_DICT, T_JSON_DICT, None]:
    """
    Disable precise code coverage. Disabling releases unnecessary execution count records and allows
    executing optimized code.
    """
    cmd_dict: T_JSON_DICT = {
        "method": "Profiler.stopPreciseCoverage",
    }
    json = yield cmd_dict

take_precise_coverage()

Collect coverage data for the current isolate, and resets execution counters. Precise code coverage needs to have started.

Returns:

Type	Description
Generator[T_JSON_DICT, T_JSON_DICT, Tuple[List[ScriptCoverage], float]]	A tuple with the following items: 0. result - Coverage data for the current isolate. 1. timestamp - Monotonically increasing time (in seconds) when the coverage update was taken in the backend.

Source code in zendriver/cdp/profiler.py

def take_precise_coverage() -> (
    typing.Generator[
        T_JSON_DICT, T_JSON_DICT, typing.Tuple[typing.List[ScriptCoverage], float]
    ]
):
    """
    Collect coverage data for the current isolate, and resets execution counters. Precise code
    coverage needs to have started.

    :returns: A tuple with the following items:

        0. **result** - Coverage data for the current isolate.
        1. **timestamp** - Monotonically increasing time (in seconds) when the coverage update was taken in the backend.
    """
    cmd_dict: T_JSON_DICT = {
        "method": "Profiler.takePreciseCoverage",
    }
    json = yield cmd_dict
    return (
        [ScriptCoverage.from_json(i) for i in json["result"]],
        float(json["timestamp"]),
    )