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GeezerVison is showing github.com — feldera/python/feldera/stats.py at main · feldera/feldera Expand file tree/ Copy pathstats.pyMore file actions 401 lines (349 loc) · 14.6 KB / Copy pathstats.pyFile metadata and controls401 lines (349 loc) · 14.6 KB 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 from typing import Mapping, Any, Optional, List from feldera._helpers import ( expect_bool, expect_int, expect_mapping, expect_str, parse_datetime, ) from feldera.enums import PipelineStatus, TransactionStatus from datetime import datetime import uuid class PipelineStatistics: """ Represents statistics reported by a pipeline's "/stats" endpoint. """ def __init__(self): """ Initializes as an empty set of statistics. """ self.global_metrics: GlobalPipelineMetrics = GlobalPipelineMetrics() self.suspend_error: Optional[Any] = None self.inputs: Mapping[List[InputEndpointStatus]] = {} self.outputs: Mapping[List[OutputEndpointStatus]] = {} @classmethod def from_dict(cls, d: Mapping[str, Any]): pipeline = cls() pipeline.global_metrics = GlobalPipelineMetrics.from_dict(d["global_metrics"]) pipeline.inputs = [ InputEndpointStatus.from_dict(input) for input in d["inputs"] ] pipeline.outputs = [ OutputEndpointStatus.from_dict(output) for output in d["outputs"] ] return pipeline class GlobalPipelineMetrics: """Represents the "global_metrics" object within the pipeline's "/stats" endpoint reply. """ def __init__(self): """ Initializes as an empty set of metrics. """ self.state: Optional[PipelineStatus] = None self.bootstrap_in_progress: Optional[bool] = None self.transaction_status: Optional[TransactionStatus] = None self.transaction_id: Optional[int] = None self.transaction_msecs: Optional[int] = None self.transaction_records: Optional[int] = None self.commit_progress: Optional[CommitProgressSummary] = None self.transaction_initiators: Optional[TransactionInitiators] = None self.rss_bytes: Optional[int] = None self.cpu_msecs: Optional[int] = None self.uptime_msecs: Optional[float] = None self.start_time: Optional[datetime] = None self.incarnation_uuid: Optional[uuid.UUID] = None self.initial_start_time: Optional[datetime] = None self.storage_bytes: Optional[int] = None self.storage_mb_secs: Optional[int] = None self.runtime_elapsed_msecs: Optional[int] = None self.buffered_input_records: Optional[int] = None self.total_input_records: Optional[int] = None self.buffered_input_bytes: Optional[int] = None self.total_input_bytes: Optional[int] = None self.total_processed_records: Optional[int] = None self.total_processed_bytes: Optional[int] = None self.total_completed_records: Optional[int] = None self.output_stall_msecs: Optional[int] = None self.total_initiated_steps: Optional[int] = None self.total_completed_steps: Optional[int] = None self.pipeline_complete: Optional[bool] = None self.platform_version: Optional[str] = None self.runtime_version: Optional[str] = None @classmethod def from_dict(cls, d: Mapping[str, Any]): metrics = cls() metrics.__dict__.update(d) metrics.state = PipelineStatus.from_str(d["state"]) metrics.incarnation_uuid = uuid.UUID(d["incarnation_uuid"]) metrics.start_time = datetime.fromtimestamp(d["start_time"]) metrics.initial_start_time = datetime.fromtimestamp(d["start_time"]) metrics.transaction_status = TransactionStatus.from_str(d["transaction_status"]) commit_progress = d.get("commit_progress") metrics.commit_progress = ( CommitProgressSummary.from_dict(commit_progress) if commit_progress is not None else None ) return metrics def progress_summary(self) -> str: """Human-readable progress indicator for long-running wait loops: commit progress while a transaction is committing, otherwise the overall record count processed so far.""" if self.commit_progress is not None: return str(self.commit_progress) return f"{self.total_processed_records}/{self.total_input_records} records processed" class ConnectorError: """Represents a connector error item reported by connector status endpoints.""" def __init__(self): self.timestamp: datetime = datetime.fromtimestamp(0) self.index: int = 0 self.tag: Optional[str] = None self.message: str = "" @classmethod def from_dict(cls, d: Mapping[str, Any]): error = cls() error.timestamp = parse_datetime(expect_str(d, "timestamp"), "timestamp") error.index = expect_int(d, "index") tag = d.get("tag") if tag is not None and not isinstance(tag, str): raise ValueError("invalid optional field 'tag': expected string or null") error.tag = tag error.message = expect_str(d, "message") return error class ConnectorHealth: """Health status reported for a connector.""" HEALTHY = "Healthy" UNHEALTHY = "Unhealthy" def __init__(self): self.status: str = ConnectorHealth.HEALTHY self.description: Optional[str] = None @classmethod def from_dict(cls, d: Mapping[str, Any]): health = cls() status = d.get("status", ConnectorHealth.HEALTHY) if not isinstance(status, str): raise ValueError("invalid field 'health.status': expected string") if status not in (ConnectorHealth.HEALTHY, ConnectorHealth.UNHEALTHY): raise ValueError( "invalid field 'health.status': expected 'Healthy' or 'Unhealthy'" ) health.status = status description = d.get("description") if description is not None and not isinstance(description, str): raise ValueError( "invalid optional field 'health.description': expected string or null" ) health.description = description return health class CompletedWatermark: """Latest completed watermark reported by input connector status.""" def __init__(self): self.metadata: Any = None self.ingested_at: datetime = datetime.fromtimestamp(0) self.processed_at: datetime = datetime.fromtimestamp(0) self.completed_at: datetime = datetime.fromtimestamp(0) @classmethod def from_dict(cls, d: Mapping[str, Any]): watermark = cls() if "metadata" not in d: raise ValueError("missing required field 'metadata'") watermark.metadata = d.get("metadata") watermark.ingested_at = parse_datetime( expect_str(d, "ingested_at"), "ingested_at" ) watermark.processed_at = parse_datetime( expect_str(d, "processed_at"), "processed_at" ) watermark.completed_at = parse_datetime( expect_str(d, "completed_at"), "completed_at" ) return watermark class InputEndpointStatus: """Represents one member of the "inputs" array within the pipeline's "/stats" endpoint reply. """ def __init__(self): """Initializes an empty status.""" self.endpoint_name: Optional[str] = None self.config: Optional[Mapping] = None self.metrics: Optional[InputEndpointMetrics] = None self.fatal_error: Optional[str] = None self.parse_errors: Optional[list[ConnectorError]] = None self.transport_errors: Optional[list[ConnectorError]] = None self.health: Optional[ConnectorHealth] = None self.paused: Optional[bool] = None self.barrier: Optional[bool] = None self.completed_frontier: Optional[CompletedWatermark] = None @classmethod def from_dict(cls, d: Mapping[str, Any]): status = cls() status.endpoint_name = expect_str(d, "endpoint_name") status.config = expect_mapping(d, "config") status.metrics = InputEndpointMetrics.from_dict(expect_mapping(d, "metrics")) fatal_error = d.get("fatal_error") if fatal_error is not None and not isinstance(fatal_error, str): raise ValueError( "invalid optional field 'fatal_error': expected string or null" ) status.fatal_error = fatal_error status.paused = expect_bool(d, "paused") status.barrier = expect_bool(d, "barrier") parse_errors = d.get("parse_errors") status.parse_errors = ( [ConnectorError.from_dict(error) for error in parse_errors] if isinstance(parse_errors, list) else None ) transport_errors = d.get("transport_errors") status.transport_errors = ( [ConnectorError.from_dict(error) for error in transport_errors] if isinstance(transport_errors, list) else None ) health = d.get("health") status.health = ( ConnectorHealth.from_dict(health) if isinstance(health, Mapping) else None ) completed_frontier = d.get("completed_frontier") status.completed_frontier = ( CompletedWatermark.from_dict(completed_frontier) if isinstance(completed_frontier, dict) else None ) return status class InputEndpointMetrics: """Represents the "metrics" member within an input endpoint status in the pipeline's "/stats" endpoint reply. """ def __init__(self): self.total_bytes: Optional[int] = None self.total_records: Optional[int] = None self.buffered_records: Optional[int] = None self.buffered_bytes: Optional[int] = None self.num_transport_errors: Optional[int] = None self.num_parse_errors: Optional[int] = None self.end_of_input: Optional[bool] = None @classmethod def from_dict(cls, d: Mapping[str, Any]): metrics = cls() metrics.__dict__.update(d) return metrics class OutputEndpointStatus: """Represents one member of the "outputs" array within the pipeline's "/stats" endpoint reply. """ def __init__(self): """Initializes an empty status.""" self.endpoint_name: Optional[str] = None self.config: Optional[Mapping] = None self.metrics: Optional[OutputEndpointMetrics] = None self.fatal_error: Optional[str] = None self.encode_errors: Optional[list[ConnectorError]] = None self.transport_errors: Optional[list[ConnectorError]] = None self.health: Optional[ConnectorHealth] = None self.paused: Optional[bool] = None @classmethod def from_dict(cls, d: Mapping[str, Any]): status = cls() status.endpoint_name = expect_str(d, "endpoint_name") status.config = expect_mapping(d, "config") status.metrics = OutputEndpointMetrics.from_dict(expect_mapping(d, "metrics")) # Pipelines that predate pausable output connectors omit this field. paused = d.get("paused") status.paused = paused if isinstance(paused, bool) else False fatal_error = d.get("fatal_error") if fatal_error is not None and not isinstance(fatal_error, str): raise ValueError( "invalid optional field 'fatal_error': expected string or null" ) status.fatal_error = fatal_error encode_errors = d.get("encode_errors") status.encode_errors = ( [ConnectorError.from_dict(error) for error in encode_errors] if isinstance(encode_errors, list) else None ) transport_errors = d.get("transport_errors") status.transport_errors = ( [ConnectorError.from_dict(error) for error in transport_errors] if isinstance(transport_errors, list) else None ) health = d.get("health") status.health = ( ConnectorHealth.from_dict(health) if isinstance(health, Mapping) else None ) return status class OutputEndpointMetrics: """Represents the "metrics" member within an output endpoint status in the pipeline's "/stats" endpoint reply. """ def __init__(self): self.transmitted_records: Optional[int] = None self.transmitted_bytes: Optional[int] = None self.queued_records: Optional[int] = None self.queued_batches: Optional[int] = None self.buffered_records: Optional[int] = None self.buffered_batches: Optional[int] = None self.num_encode_errors: Optional[int] = None self.num_transport_errors: Optional[int] = None self.total_processed_input_records: Optional[int] = None self.total_processed_steps: Optional[int] = None self.memory: Optional[int] = None @classmethod def from_dict(cls, d: Mapping[str, Any]): metrics = cls() metrics.__dict__.update(d) return metrics class CommitProgressSummary: """Progress of a transaction commit.""" def __init__(self): """Initializes an empty status.""" self.completed: Optional[int] = None self.in_progress: Optional[int] = None self.remaining: Optional[int] = None self.in_progress_processed_records: Optional[int] = None self.in_progress_total_records: Optional[int] = None @classmethod def from_dict(cls, d: Mapping[str, Any]): status = cls() status.__dict__.update(d) return status def __str__(self) -> str: # Mirrors CommitProgressSummary's Display impl in # crates/feldera-types/src/transaction.rs. return ( f"completed: {self.completed} operators, " f"evaluating: {self.in_progress} operators " f"[{self.in_progress_processed_records}/{self.in_progress_total_records} " f"changes processed], remaining: {self.remaining} operators" ) class TransactionInitiators: """Initiators for an ongoing transaction.""" def __init__(self): """Initializes an empty status.""" self.transaction_id: Optional[int] = None self.initiated_by_api: Optional[str] = None self.initiated_by_connectors: Optional[ Mapping[str, ConnectorTransactionPhase] ] = None @classmethod def from_dict(cls, d: Mapping[str, Any]): status = cls() status.__dict__.update(d) status.initiated_by_connectors = ConnectorTransactionPhase.from_dict( d["initiated_by_connectors"] ) return status class ConnectorTransactionPhase: """Connector transaction phase with optional label""" def __init__(self): """Initializes an empty status.""" self.phase: Optional[str] = None self.label: Optional[str] = None @classmethod def from_dict(cls, d: Mapping[str, Any]): status = cls() status.__dict__.update(d) return status |
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