# DO NOT EDIT THIS FILE!
#
# This file is generated from the CDP specification. If you need to make
# changes, edit the generator and regenerate all of the modules.
#
# CDP domain: Tracing
from __future__ import annotations
from .util import event_class, T_JSON_DICT
from dataclasses import dataclass
import enum
import typing
from . import io


class MemoryDumpConfig(dict):
    '''
    Configuration for memory dump. Used only when "memory-infra" category is enabled.
    '''
    def to_json(self) -> dict:
        return self

    @classmethod
    def from_json(cls, json: dict) -> MemoryDumpConfig:
        return cls(json)

    def __repr__(self):
        return 'MemoryDumpConfig({})'.format(super().__repr__())


@dataclass
class TraceConfig:
    #: Controls how the trace buffer stores data. The default is ``recordUntilFull``.
    record_mode: typing.Optional[str] = None

    #: Size of the trace buffer in kilobytes. If not specified or zero is passed, a default value
    #: of 200 MB would be used.
    trace_buffer_size_in_kb: typing.Optional[float] = None

    #: Turns on JavaScript stack sampling.
    enable_sampling: typing.Optional[bool] = None

    #: Turns on system tracing.
    enable_systrace: typing.Optional[bool] = None

    #: Turns on argument filter.
    enable_argument_filter: typing.Optional[bool] = None

    #: Included category filters.
    included_categories: typing.Optional[typing.List[str]] = None

    #: Excluded category filters.
    excluded_categories: typing.Optional[typing.List[str]] = None

    #: Configuration to synthesize the delays in tracing.
    synthetic_delays: typing.Optional[typing.List[str]] = None

    #: Configuration for memory dump triggers. Used only when "memory-infra" category is enabled.
    memory_dump_config: typing.Optional[MemoryDumpConfig] = None

    def to_json(self):
        json = dict()
        if self.record_mode is not None:
            json['recordMode'] = self.record_mode
        if self.trace_buffer_size_in_kb is not None:
            json['traceBufferSizeInKb'] = self.trace_buffer_size_in_kb
        if self.enable_sampling is not None:
            json['enableSampling'] = self.enable_sampling
        if self.enable_systrace is not None:
            json['enableSystrace'] = self.enable_systrace
        if self.enable_argument_filter is not None:
            json['enableArgumentFilter'] = self.enable_argument_filter
        if self.included_categories is not None:
            json['includedCategories'] = [i for i in self.included_categories]
        if self.excluded_categories is not None:
            json['excludedCategories'] = [i for i in self.excluded_categories]
        if self.synthetic_delays is not None:
            json['syntheticDelays'] = [i for i in self.synthetic_delays]
        if self.memory_dump_config is not None:
            json['memoryDumpConfig'] = self.memory_dump_config.to_json()
        return json

    @classmethod
    def from_json(cls, json):
        return cls(
            record_mode=str(json['recordMode']) if 'recordMode' in json else None,
            trace_buffer_size_in_kb=float(json['traceBufferSizeInKb']) if 'traceBufferSizeInKb' in json else None,
            enable_sampling=bool(json['enableSampling']) if 'enableSampling' in json else None,
            enable_systrace=bool(json['enableSystrace']) if 'enableSystrace' in json else None,
            enable_argument_filter=bool(json['enableArgumentFilter']) if 'enableArgumentFilter' in json else None,
            included_categories=[str(i) for i in json['includedCategories']] if 'includedCategories' in json else None,
            excluded_categories=[str(i) for i in json['excludedCategories']] if 'excludedCategories' in json else None,
            synthetic_delays=[str(i) for i in json['syntheticDelays']] if 'syntheticDelays' in json else None,
            memory_dump_config=MemoryDumpConfig.from_json(json['memoryDumpConfig']) if 'memoryDumpConfig' in json else None,
        )


class StreamFormat(enum.Enum):
    '''
    Data format of a trace. Can be either the legacy JSON format or the
    protocol buffer format. Note that the JSON format will be deprecated soon.
    '''
    JSON = "json"
    PROTO = "proto"

    def to_json(self):
        return self.value

    @classmethod
    def from_json(cls, json):
        return cls(json)


class StreamCompression(enum.Enum):
    '''
    Compression type to use for traces returned via streams.
    '''
    NONE = "none"
    GZIP = "gzip"

    def to_json(self):
        return self.value

    @classmethod
    def from_json(cls, json):
        return cls(json)


class MemoryDumpLevelOfDetail(enum.Enum):
    '''
    Details exposed when memory request explicitly declared.
    Keep consistent with memory_dump_request_args.h and
    memory_instrumentation.mojom
    '''
    BACKGROUND = "background"
    LIGHT = "light"
    DETAILED = "detailed"

    def to_json(self):
        return self.value

    @classmethod
    def from_json(cls, json):
        return cls(json)


class TracingBackend(enum.Enum):
    '''
    Backend type to use for tracing. ``chrome`` uses the Chrome-integrated
    tracing service and is supported on all platforms. ``system`` is only
    supported on Chrome OS and uses the Perfetto system tracing service.
    ``auto`` chooses ``system`` when the perfettoConfig provided to Tracing.start
    specifies at least one non-Chrome data source; otherwise uses ``chrome``.
    '''
    AUTO = "auto"
    CHROME = "chrome"
    SYSTEM = "system"

    def to_json(self):
        return self.value

    @classmethod
    def from_json(cls, json):
        return cls(json)


def end() -> typing.Generator[T_JSON_DICT,T_JSON_DICT,None]:
    '''
    Stop trace events collection.
    '''
    cmd_dict: T_JSON_DICT = {
        'method': 'Tracing.end',
    }
    json = yield cmd_dict


def get_categories() -> typing.Generator[T_JSON_DICT,T_JSON_DICT,typing.List[str]]:
    '''
    Gets supported tracing categories.

    **EXPERIMENTAL**

    :returns: A list of supported tracing categories.
    '''
    cmd_dict: T_JSON_DICT = {
        'method': 'Tracing.getCategories',
    }
    json = yield cmd_dict
    return [str(i) for i in json['categories']]


def get_track_event_descriptor() -> typing.Generator[T_JSON_DICT,T_JSON_DICT,str]:
    '''
    Return a descriptor for all available tracing categories.

    **EXPERIMENTAL**

    :returns: Base64-encoded serialized perfetto.protos.TrackEventDescriptor protobuf message.
    '''
    cmd_dict: T_JSON_DICT = {
        'method': 'Tracing.getTrackEventDescriptor',
    }
    json = yield cmd_dict
    return str(json['descriptor'])


def record_clock_sync_marker(
        sync_id: str
    ) -> typing.Generator[T_JSON_DICT,T_JSON_DICT,None]:
    '''
    Record a clock sync marker in the trace.

    **EXPERIMENTAL**

    :param sync_id: The ID of this clock sync marker
    '''
    params: T_JSON_DICT = dict()
    params['syncId'] = sync_id
    cmd_dict: T_JSON_DICT = {
        'method': 'Tracing.recordClockSyncMarker',
        'params': params,
    }
    json = yield cmd_dict


def request_memory_dump(
        deterministic: typing.Optional[bool] = None,
        level_of_detail: typing.Optional[MemoryDumpLevelOfDetail] = None
    ) -> typing.Generator[T_JSON_DICT,T_JSON_DICT,typing.Tuple[str, bool]]:
    '''
    Request a global memory dump.

    **EXPERIMENTAL**

    :param deterministic: *(Optional)* Enables more deterministic results by forcing garbage collection
    :param level_of_detail: *(Optional)* Specifies level of details in memory dump. Defaults to "detailed".
    :returns: A tuple with the following items:

        0. **dumpGuid** - GUID of the resulting global memory dump.
        1. **success** - True iff the global memory dump succeeded.
    '''
    params: T_JSON_DICT = dict()
    if deterministic is not None:
        params['deterministic'] = deterministic
    if level_of_detail is not None:
        params['levelOfDetail'] = level_of_detail.to_json()
    cmd_dict: T_JSON_DICT = {
        'method': 'Tracing.requestMemoryDump',
        'params': params,
    }
    json = yield cmd_dict
    return (
        str(json['dumpGuid']),
        bool(json['success'])
    )


def start(
        categories: typing.Optional[str] = None,
        options: typing.Optional[str] = None,
        buffer_usage_reporting_interval: typing.Optional[float] = None,
        transfer_mode: typing.Optional[str] = None,
        stream_format: typing.Optional[StreamFormat] = None,
        stream_compression: typing.Optional[StreamCompression] = None,
        trace_config: typing.Optional[TraceConfig] = None,
        perfetto_config: typing.Optional[str] = None,
        tracing_backend: typing.Optional[TracingBackend] = None
    ) -> typing.Generator[T_JSON_DICT,T_JSON_DICT,None]:
    '''
    Start trace events collection.

    :param categories: **(EXPERIMENTAL)** *(Optional)* Category/tag filter
    :param options: **(EXPERIMENTAL)** *(Optional)* Tracing options
    :param buffer_usage_reporting_interval: **(EXPERIMENTAL)** *(Optional)* If set, the agent will issue bufferUsage events at this interval, specified in milliseconds
    :param transfer_mode: *(Optional)* Whether to report trace events as series of dataCollected events or to save trace to a stream (defaults to ```ReportEvents````).
    :param stream_format: *(Optional)* Trace data format to use. This only applies when using ````ReturnAsStream```` transfer mode (defaults to ````json````).
    :param stream_compression: **(EXPERIMENTAL)** *(Optional)* Compression format to use. This only applies when using ````ReturnAsStream```` transfer mode (defaults to ````none````)
    :param trace_config: *(Optional)*
    :param perfetto_config: **(EXPERIMENTAL)** *(Optional)* Base64-encoded serialized perfetto.protos.TraceConfig protobuf message When specified, the parameters ````categories````, ````options````, ````traceConfig```` are ignored.
    :param tracing_backend: **(EXPERIMENTAL)** *(Optional)* Backend type (defaults to ````auto```)
    '''
    params: T_JSON_DICT = dict()
    if categories is not None:
        params['categories'] = categories
    if options is not None:
        params['options'] = options
    if buffer_usage_reporting_interval is not None:
        params['bufferUsageReportingInterval'] = buffer_usage_reporting_interval
    if transfer_mode is not None:
        params['transferMode'] = transfer_mode
    if stream_format is not None:
        params['streamFormat'] = stream_format.to_json()
    if stream_compression is not None:
        params['streamCompression'] = stream_compression.to_json()
    if trace_config is not None:
        params['traceConfig'] = trace_config.to_json()
    if perfetto_config is not None:
        params['perfettoConfig'] = perfetto_config
    if tracing_backend is not None:
        params['tracingBackend'] = tracing_backend.to_json()
    cmd_dict: T_JSON_DICT = {
        'method': 'Tracing.start',
        'params': params,
    }
    json = yield cmd_dict


@event_class('Tracing.bufferUsage')
@dataclass
class BufferUsage:
    '''
    **EXPERIMENTAL**


    '''
    #: A number in range [0..1] that indicates the used size of event buffer as a fraction of its
    #: total size.
    percent_full: typing.Optional[float]
    #: An approximate number of events in the trace log.
    event_count: typing.Optional[float]
    #: A number in range [0..1] that indicates the used size of event buffer as a fraction of its
    #: total size.
    value: typing.Optional[float]

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> BufferUsage:
        return cls(
            percent_full=float(json['percentFull']) if 'percentFull' in json else None,
            event_count=float(json['eventCount']) if 'eventCount' in json else None,
            value=float(json['value']) if 'value' in json else None
        )


@event_class('Tracing.dataCollected')
@dataclass
class DataCollected:
    '''
    **EXPERIMENTAL**

    Contains a bucket of collected trace events. When tracing is stopped collected events will be
    sent as a sequence of dataCollected events followed by tracingComplete event.
    '''
    value: typing.List[dict]

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> DataCollected:
        return cls(
            value=[dict(i) for i in json['value']]
        )


@event_class('Tracing.tracingComplete')
@dataclass
class TracingComplete:
    '''
    Signals that tracing is stopped and there is no trace buffers pending flush, all data were
    delivered via dataCollected events.
    '''
    #: Indicates whether some trace data is known to have been lost, e.g. because the trace ring
    #: buffer wrapped around.
    data_loss_occurred: bool
    #: A handle of the stream that holds resulting trace data.
    stream: typing.Optional[io.StreamHandle]
    #: Trace data format of returned stream.
    trace_format: typing.Optional[StreamFormat]
    #: Compression format of returned stream.
    stream_compression: typing.Optional[StreamCompression]

    @classmethod
    def from_json(cls, json: T_JSON_DICT) -> TracingComplete:
        return cls(
            data_loss_occurred=bool(json['dataLossOccurred']),
            stream=io.StreamHandle.from_json(json['stream']) if 'stream' in json else None,
            trace_format=StreamFormat.from_json(json['traceFormat']) if 'traceFormat' in json else None,
            stream_compression=StreamCompression.from_json(json['streamCompression']) if 'streamCompression' in json else None
        )
