|
| 1 | +"""Gecko Profile format. |
| 2 | +
|
| 3 | +Provides dataclasses and builder for generating Gecko profile format |
| 4 | +""" |
| 5 | + |
| 6 | +import platform |
| 7 | +from dataclasses import dataclass, field |
| 8 | +from typing import List, Dict, Optional, Any |
| 9 | + |
| 10 | +from Lib.profiling.sampling.string_table import StringTable |
| 11 | + |
| 12 | +PYTHON_CATEGORY = 0 |
| 13 | +OTHER_CATEGORY = 1 |
| 14 | +NATIVE_IMPLEMENTATION = None |
| 15 | +GECKO_VERSION = 28 |
| 16 | + |
| 17 | +GECKO_CATEGORIES = [ |
| 18 | + {"name": "Python", "color": "blue", "subcategories": ["Other"]}, |
| 19 | + {"name": "Other", "color": "grey", "subcategories": ["Other"]}, |
| 20 | +] |
| 21 | + |
| 22 | +@dataclass |
| 23 | +class GeckoFrameTableSchema: |
| 24 | + location: int = 0 |
| 25 | + relevantForJS: int = 1 |
| 26 | + innerWindowID: int = 2 |
| 27 | + implementation: int = 3 |
| 28 | + optimizations: int = 4 |
| 29 | + line: int = 5 |
| 30 | + column: int = 6 |
| 31 | + category: int = 7 |
| 32 | + subcategory: int = 8 |
| 33 | + |
| 34 | + def to_dict(self) -> Dict[str, int]: |
| 35 | + return { |
| 36 | + "location": self.location, |
| 37 | + "relevantForJS": self.relevantForJS, |
| 38 | + "innerWindowID": self.innerWindowID, |
| 39 | + "implementation": self.implementation, |
| 40 | + "optimizations": self.optimizations, |
| 41 | + "line": self.line, |
| 42 | + "column": self.column, |
| 43 | + "category": self.category, |
| 44 | + "subcategory": self.subcategory |
| 45 | + } |
| 46 | + |
| 47 | +@dataclass |
| 48 | +class GeckoStackTableSchema: |
| 49 | + prefix: int = 0 |
| 50 | + frame: int = 1 |
| 51 | + |
| 52 | + def to_dict(self) -> Dict[str, int]: |
| 53 | + return { |
| 54 | + "prefix": self.prefix, |
| 55 | + "frame": self.frame |
| 56 | + } |
| 57 | + |
| 58 | +@dataclass |
| 59 | +class GeckoSampleSchema: |
| 60 | + stack: int = 0 |
| 61 | + time: int = 1 |
| 62 | + eventDelay: int = 2 |
| 63 | + |
| 64 | + def to_dict(self) -> Dict[str, int]: |
| 65 | + return { |
| 66 | + "stack": self.stack, |
| 67 | + "time": self.time, |
| 68 | + "eventDelay": self.eventDelay |
| 69 | + } |
| 70 | + |
| 71 | +@dataclass |
| 72 | +class GeckoMarkersSchema: |
| 73 | + name: int = 0 |
| 74 | + startTime: int = 1 |
| 75 | + endTime: int = 2 |
| 76 | + phase: int = 3 |
| 77 | + category: int = 4 |
| 78 | + data: int = 5 |
| 79 | + |
| 80 | + def to_dict(self) -> Dict[str, int]: |
| 81 | + return { |
| 82 | + "name": self.name, |
| 83 | + "startTime": self.startTime, |
| 84 | + "endTime": self.endTime, |
| 85 | + "phase": self.phase, |
| 86 | + "category": self.category, |
| 87 | + "data": self.data |
| 88 | + } |
| 89 | + |
| 90 | +@dataclass |
| 91 | +class GeckoFrame: |
| 92 | + location_id: int |
| 93 | + relevant_for_js: bool = False |
| 94 | + inner_window_id: int = 0 |
| 95 | + implementation: Optional[str] = None |
| 96 | + optimizations: Optional[str] = None |
| 97 | + line: Optional[int] = None |
| 98 | + column: Optional[int] = None |
| 99 | + category: int = 0 |
| 100 | + subcategory: int = 0 |
| 101 | + |
| 102 | + def to_array(self) -> List[Any]: |
| 103 | + return [ |
| 104 | + self.location_id, |
| 105 | + self.relevant_for_js, |
| 106 | + self.inner_window_id, |
| 107 | + self.implementation, |
| 108 | + self.optimizations, |
| 109 | + self.line, |
| 110 | + self.column, |
| 111 | + self.category, |
| 112 | + self.subcategory |
| 113 | + ] |
| 114 | + |
| 115 | +@dataclass |
| 116 | +class GeckoStack: |
| 117 | + prefix_id: Optional[int] |
| 118 | + frame_id: int |
| 119 | + |
| 120 | + def to_array(self) -> List[Any]: |
| 121 | + return [self.prefix_id, self.frame_id] |
| 122 | + |
| 123 | +@dataclass |
| 124 | +class GeckoSample: |
| 125 | + stack_id: Optional[int] |
| 126 | + time_ms: float |
| 127 | + event_delay: float = 0.0 |
| 128 | + |
| 129 | + def to_array(self) -> List[Any]: |
| 130 | + return [self.stack_id, self.time_ms, self.event_delay] |
| 131 | + |
| 132 | +@dataclass |
| 133 | +class GeckoFrameTable: |
| 134 | + schema: GeckoFrameTableSchema = field(default_factory=GeckoFrameTableSchema) |
| 135 | + data: List[List[Any]] = field(default_factory=list) |
| 136 | + |
| 137 | + def to_dict(self) -> Dict[str, Any]: |
| 138 | + return { |
| 139 | + "schema": self.schema.to_dict(), |
| 140 | + "data": self.data |
| 141 | + } |
| 142 | + |
| 143 | +@dataclass |
| 144 | +class GeckoStackTable: |
| 145 | + schema: GeckoStackTableSchema = field(default_factory=GeckoStackTableSchema) |
| 146 | + data: List[List[Any]] = field(default_factory=list) |
| 147 | + |
| 148 | + def to_dict(self) -> Dict[str, Any]: |
| 149 | + return { |
| 150 | + "schema": self.schema.to_dict(), |
| 151 | + "data": self.data |
| 152 | + } |
| 153 | + |
| 154 | +@dataclass |
| 155 | +class GeckoSamples: |
| 156 | + schema: GeckoSampleSchema = field(default_factory=GeckoSampleSchema) |
| 157 | + data: List[List[Any]] = field(default_factory=list) |
| 158 | + |
| 159 | + def to_dict(self) -> Dict[str, Any]: |
| 160 | + return { |
| 161 | + "schema": self.schema.to_dict(), |
| 162 | + "data": self.data |
| 163 | + } |
| 164 | + |
| 165 | +@dataclass |
| 166 | +class GeckoMarkers: |
| 167 | + schema: GeckoMarkersSchema = field(default_factory=GeckoMarkersSchema) |
| 168 | + data: List[List[Any]] = field(default_factory=list) |
| 169 | + |
| 170 | + def to_dict(self) -> Dict[str, Any]: |
| 171 | + return { |
| 172 | + "schema": self.schema.to_dict(), |
| 173 | + "data": self.data |
| 174 | + } |
| 175 | + |
| 176 | +@dataclass |
| 177 | +class GeckoThread: |
| 178 | + name: str |
| 179 | + isMainThread: bool = False |
| 180 | + processType: str = "default" |
| 181 | + processName: str = "Python" |
| 182 | + processStartupTime: float = 0.0 |
| 183 | + processShutdownTime: Optional[float] = None |
| 184 | + registerTime: int = 0 |
| 185 | + unregisterTime: Optional[int] = None |
| 186 | + pausedRanges: List[Any] = field(default_factory=list) |
| 187 | + pid: int = 0 |
| 188 | + tid: int = 0 |
| 189 | + stringTable: List[str] = field(default_factory=list) |
| 190 | + frameTable: GeckoFrameTable = field(default_factory=GeckoFrameTable) |
| 191 | + stackTable: GeckoStackTable = field(default_factory=GeckoStackTable) |
| 192 | + samples: GeckoSamples = field(default_factory=GeckoSamples) |
| 193 | + markers: GeckoMarkers = field(default_factory=GeckoMarkers) |
| 194 | + |
| 195 | + def to_dict(self) -> Dict[str, Any]: |
| 196 | + return { |
| 197 | + "name": self.name, |
| 198 | + "isMainThread": self.isMainThread, |
| 199 | + "processType": self.processType, |
| 200 | + "processName": self.processName, |
| 201 | + "processStartupTime": self.processStartupTime, |
| 202 | + "processShutdownTime": self.processShutdownTime, |
| 203 | + "registerTime": self.registerTime, |
| 204 | + "unregisterTime": self.unregisterTime, |
| 205 | + "pausedRanges": self.pausedRanges, |
| 206 | + "pid": self.pid, |
| 207 | + "tid": self.tid, |
| 208 | + "stringTable": self.stringTable, |
| 209 | + "frameTable": self.frameTable.to_dict(), |
| 210 | + "stackTable": self.stackTable.to_dict(), |
| 211 | + "samples": self.samples.to_dict(), |
| 212 | + "markers": self.markers.to_dict() |
| 213 | + } |
| 214 | + |
| 215 | +@dataclass |
| 216 | +class GeckoMeta: |
| 217 | + version: int = GECKO_VERSION |
| 218 | + startTime: float = 0.0 |
| 219 | + shutdownTime: Optional[float] = None |
| 220 | + categories: List[Dict[str, Any]] = field(default_factory=lambda: GECKO_CATEGORIES) |
| 221 | + markerSchema: List[Any] = field(default_factory=list) |
| 222 | + interval: int = 1 |
| 223 | + stackwalk: int = 1 |
| 224 | + debug: int = 0 |
| 225 | + gcpoison: int = 0 |
| 226 | + processType: int = 0 |
| 227 | + presymbolicated: bool = True |
| 228 | + platform: str = field(default_factory=platform.system) |
| 229 | + oscpu: str = field(default_factory=lambda: f"{platform.machine()} {platform.system()} {platform.release()}") |
| 230 | + misc: str = field(default_factory=lambda: f"Python {platform.python_version()}") |
| 231 | + |
| 232 | + def to_dict(self) -> Dict[str, Any]: |
| 233 | + return { |
| 234 | + "version": self.version, |
| 235 | + "startTime": self.startTime, |
| 236 | + "shutdownTime": self.shutdownTime, |
| 237 | + "categories": self.categories, |
| 238 | + "markerSchema": self.markerSchema, |
| 239 | + "interval": self.interval, |
| 240 | + "stackwalk": self.stackwalk, |
| 241 | + "debug": self.debug, |
| 242 | + "gcpoison": self.gcpoison, |
| 243 | + "processType": self.processType, |
| 244 | + "presymbolicated": self.presymbolicated, |
| 245 | + "platform": self.platform, |
| 246 | + "oscpu": self.oscpu, |
| 247 | + "misc": self.misc, |
| 248 | + } |
| 249 | + |
| 250 | +@dataclass |
| 251 | +class GeckoProfile: |
| 252 | + meta: Dict[str, Any] |
| 253 | + libs: List[Any] = field(default_factory=list) |
| 254 | + pages: List[Any] = field(default_factory=list) |
| 255 | + pausedRanges: List[Any] = field(default_factory=list) |
| 256 | + threads: List[Dict[str, Any]] = field(default_factory=list) |
| 257 | + processes: List[Any] = field(default_factory=list) |
| 258 | + |
| 259 | + def to_dict(self) -> Dict[str, Any]: |
| 260 | + return { |
| 261 | + "meta": self.meta, |
| 262 | + "libs": self.libs, |
| 263 | + "pages": self.pages, |
| 264 | + "pausedRanges": self.pausedRanges, |
| 265 | + "threads": self.threads, |
| 266 | + "processes": self.processes |
| 267 | + } |
| 268 | + |
| 269 | +class GeckoBuilder: |
| 270 | + def __init__(self, string_table: StringTable, start_time: float = None): |
| 271 | + self.string_table = string_table |
| 272 | + self.start_time = start_time |
| 273 | + self.threads_data = {} |
| 274 | + |
| 275 | + def add_sample(self, frames_list, timestamp, thread_id=0): |
| 276 | + if thread_id not in self.threads_data: |
| 277 | + self.threads_data[thread_id] = { |
| 278 | + "frames": [], |
| 279 | + "frame_map": {}, |
| 280 | + "stacks": [], |
| 281 | + "stack_map": {}, |
| 282 | + "samples": [] |
| 283 | + } |
| 284 | + |
| 285 | + thread_data = self.threads_data[thread_id] |
| 286 | + |
| 287 | + frame_ids = [] |
| 288 | + for frame in frames_list: |
| 289 | + if frame not in thread_data["frame_map"]: |
| 290 | + frame_index = len(thread_data["frames"]) |
| 291 | + thread_data["frame_map"][frame] = frame_index |
| 292 | + |
| 293 | + filename, lineno, funcname = frame |
| 294 | + location_id = self.string_table.intern(funcname) |
| 295 | + |
| 296 | + gecko_frame = GeckoFrame( |
| 297 | + location_id=location_id, |
| 298 | + relevant_for_js=False, |
| 299 | + inner_window_id=0, |
| 300 | + implementation=None, |
| 301 | + optimizations=None, |
| 302 | + line=lineno, |
| 303 | + column=None, |
| 304 | + category=self._get_frame_category(frame), |
| 305 | + subcategory=0 |
| 306 | + ) |
| 307 | + |
| 308 | + thread_data["frames"].append(gecko_frame) |
| 309 | + |
| 310 | + frame_ids.append(thread_data["frame_map"][frame]) |
| 311 | + |
| 312 | + stack_id = None |
| 313 | + for frame_id in reversed(frame_ids): |
| 314 | + stack_key = (stack_id, frame_id) |
| 315 | + if stack_key not in thread_data["stack_map"]: |
| 316 | + stack_index = len(thread_data["stacks"]) |
| 317 | + thread_data["stack_map"][stack_key] = stack_index |
| 318 | + |
| 319 | + gecko_stack = GeckoStack( |
| 320 | + prefix_id=stack_id, |
| 321 | + frame_id=frame_id |
| 322 | + ) |
| 323 | + thread_data["stacks"].append(gecko_stack) |
| 324 | + stack_id = stack_index |
| 325 | + else: |
| 326 | + stack_id = thread_data["stack_map"][stack_key] |
| 327 | + |
| 328 | + gecko_sample = GeckoSample( |
| 329 | + stack_id=stack_id, |
| 330 | + time_ms=timestamp * 1000, |
| 331 | + event_delay=0.0 |
| 332 | + ) |
| 333 | + thread_data["samples"].append(gecko_sample) |
| 334 | + |
| 335 | + def _get_frame_category(self, frame): |
| 336 | + """ |
| 337 | + Determine frame category based on frame information. |
| 338 | + Frame is a tuple: (filename, lineno, funcname) |
| 339 | + Can be extended to use any part of the frame for categorization. |
| 340 | +
|
| 341 | + TODO: Change this once frames have a type/category field |
| 342 | + """ |
| 343 | + filename, _, _ = frame |
| 344 | + if filename and filename.endswith('.py'): |
| 345 | + return PYTHON_CATEGORY |
| 346 | + else: |
| 347 | + return OTHER_CATEGORY |
| 348 | + |
| 349 | + def build_profile(self): |
| 350 | + threads = [] |
| 351 | + |
| 352 | + for thread_id, thread_data in self.threads_data.items(): |
| 353 | + frame_data = [frame.to_array() for frame in thread_data["frames"]] |
| 354 | + stack_data = [stack.to_array() for stack in thread_data["stacks"]] |
| 355 | + sample_data = [sample.to_array() for sample in thread_data["samples"]] |
| 356 | + |
| 357 | + gecko_thread = GeckoThread( |
| 358 | + name=f"Thread {thread_id}", |
| 359 | + isMainThread=(thread_id == 0), |
| 360 | + processType="default", |
| 361 | + processName="Python", |
| 362 | + processStartupTime=(self.start_time or 0) * 1000, |
| 363 | + processShutdownTime=None, |
| 364 | + registerTime=0, |
| 365 | + unregisterTime=None, |
| 366 | + pausedRanges=[], |
| 367 | + pid=thread_id, |
| 368 | + tid=thread_id, |
| 369 | + stringTable=self.string_table.get_strings(), |
| 370 | + frameTable=GeckoFrameTable(data=frame_data), |
| 371 | + stackTable=GeckoStackTable(data=stack_data), |
| 372 | + samples=GeckoSamples(data=sample_data), |
| 373 | + markers=GeckoMarkers(data=[]) |
| 374 | + ) |
| 375 | + |
| 376 | + threads.append(gecko_thread.to_dict()) |
| 377 | + |
| 378 | + gecko_meta = GeckoMeta( |
| 379 | + startTime=(self.start_time or 0) * 1000 |
| 380 | + ) |
| 381 | + |
| 382 | + gecko_profile = GeckoProfile( |
| 383 | + meta=gecko_meta.to_dict(), |
| 384 | + libs=[], |
| 385 | + pages=[], |
| 386 | + pausedRanges=[], |
| 387 | + threads=threads, |
| 388 | + processes=[] |
| 389 | + ) |
| 390 | + |
| 391 | + return gecko_profile.to_dict() |
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