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GeezerVison is showing github.com — feast/sdk/python/feast/types.py at master · feast-dev/feast Expand file tree/ Copy pathtypes.pyMore file actions 504 lines (426 loc) · 15.6 KB / Copy pathtypes.pyFile metadata and controls504 lines (426 loc) · 15.6 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 # Copyright 2022 The Feast Authors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from abc import ABC, abstractmethod from datetime import datetime, timezone from enum import Enum from typing import Dict, List, Union import pyarrow from feast.value_type import ValueType PRIMITIVE_FEAST_TYPES_TO_VALUE_TYPES = { "INVALID": "UNKNOWN", "BYTES": "BYTES", "PDF_BYTES": "PDF_BYTES", "IMAGE_BYTES": "IMAGE_BYTES", "UUID": "UUID", "TIME_UUID": "TIME_UUID", "DECIMAL": "DECIMAL", "STRING": "STRING", "INT32": "INT32", "INT64": "INT64", "FLOAT64": "DOUBLE", "FLOAT32": "FLOAT", "BOOL": "BOOL", "UNIX_TIMESTAMP": "UNIX_TIMESTAMP", "MAP": "MAP", "JSON": "JSON", "SCALAR_MAP": "SCALAR_MAP", "ZONED_TIMESTAMP": "ZONED_TIMESTAMP", } def _utc_now() -> datetime: return datetime.now(tz=timezone.utc) class ComplexFeastType(ABC): """ A ComplexFeastType represents a structured type that is recognized by Feast. """ def __init__(self): """Creates a ComplexFeastType object.""" pass @abstractmethod def to_value_type(self) -> ValueType: """ Converts a ComplexFeastType object to the corresponding ValueType enum. """ raise NotImplementedError def __hash__(self): return hash(self.to_value_type().value) def __eq__(self, other): if isinstance(other, ComplexFeastType): return self.to_value_type() == other.to_value_type() else: return False class PrimitiveFeastType(Enum): """ A PrimitiveFeastType represents a primitive type in Feast. Note that these values must match the values in /feast/protos/types/Value.proto. """ INVALID = 0 BYTES = 1 STRING = 2 INT32 = 3 INT64 = 4 FLOAT64 = 5 FLOAT32 = 6 BOOL = 7 UNIX_TIMESTAMP = 8 PDF_BYTES = 9 IMAGE_BYTES = 10 MAP = 11 JSON = 12 UUID = 13 TIME_UUID = 14 DECIMAL = 15 SCALAR_MAP = 16 ZONED_TIMESTAMP = 17 def to_value_type(self) -> ValueType: """ Converts a PrimitiveFeastType object to the corresponding ValueType enum. """ value_type_name = PRIMITIVE_FEAST_TYPES_TO_VALUE_TYPES[self.name] return ValueType[value_type_name] def __str__(self): return PRIMITIVE_FEAST_TYPES_TO_STRING[self.name] def __eq__(self, other): if isinstance(other, PrimitiveFeastType): return self.value == other.value else: return False def __hash__(self): return hash((PRIMITIVE_FEAST_TYPES_TO_STRING[self.name])) Invalid = PrimitiveFeastType.INVALID Bytes = PrimitiveFeastType.BYTES PdfBytes = PrimitiveFeastType.PDF_BYTES ImageBytes = PrimitiveFeastType.IMAGE_BYTES String = PrimitiveFeastType.STRING Bool = PrimitiveFeastType.BOOL Int32 = PrimitiveFeastType.INT32 Int64 = PrimitiveFeastType.INT64 Float32 = PrimitiveFeastType.FLOAT32 Float64 = PrimitiveFeastType.FLOAT64 UnixTimestamp = PrimitiveFeastType.UNIX_TIMESTAMP Map = PrimitiveFeastType.MAP Json = PrimitiveFeastType.JSON Uuid = PrimitiveFeastType.UUID TimeUuid = PrimitiveFeastType.TIME_UUID Decimal = PrimitiveFeastType.DECIMAL ScalarMap = PrimitiveFeastType.SCALAR_MAP ZonedTimestamp = PrimitiveFeastType.ZONED_TIMESTAMP SUPPORTED_BASE_TYPES = [ Invalid, String, Bytes, PdfBytes, ImageBytes, Bool, Int32, Int64, Float32, Float64, UnixTimestamp, Map, Json, Uuid, TimeUuid, Decimal, ZonedTimestamp, ] PRIMITIVE_FEAST_TYPES_TO_STRING = { "INVALID": "Invalid", "STRING": "String", "BYTES": "Bytes", "PDF_BYTES": "PdfBytes", "IMAGE_BYTES": "ImageBytes", "BOOL": "Bool", "INT32": "Int32", "INT64": "Int64", "FLOAT32": "Float32", "FLOAT64": "Float64", "UNIX_TIMESTAMP": "UnixTimestamp", "MAP": "Map", "JSON": "Json", "UUID": "Uuid", "TIME_UUID": "TimeUuid", "DECIMAL": "Decimal", "SCALAR_MAP": "ScalarMap", "ZONED_TIMESTAMP": "ZonedTimestamp", } class Array(ComplexFeastType): """ An Array represents a list of types. Attributes: base_type: The base type of the array. """ base_type: Union[PrimitiveFeastType, ComplexFeastType] def __init__(self, base_type: Union[PrimitiveFeastType, "ComplexFeastType"]): # Allow Struct, Array, and Set as base types for nested collections if not isinstance(base_type, (Struct, Array, Set)): # Arrays do not support ZonedTimestamp: there is no ZONED_TIMESTAMP_LIST # ValueType for it to map to. supported_array_types = [ t for t in SUPPORTED_BASE_TYPES if t not in (ZonedTimestamp,) ] if base_type not in supported_array_types: raise ValueError( f"Type {type(base_type)} is currently not supported as a base type for Array." ) self.base_type = base_type def to_value_type(self) -> ValueType: if isinstance(self.base_type, Struct): return ValueType.STRUCT_LIST if isinstance(self.base_type, (Array, Set)): return ValueType.VALUE_LIST assert isinstance(self.base_type, PrimitiveFeastType) value_type_name = PRIMITIVE_FEAST_TYPES_TO_VALUE_TYPES[self.base_type.name] value_type_list_name = value_type_name + "_LIST" return ValueType[value_type_list_name] def __eq__(self, other): if isinstance(other, Array): return self.base_type == other.base_type return False def __hash__(self): return hash(("Array", hash(self.base_type))) def __str__(self): return f"Array({self.base_type})" class Set(ComplexFeastType): """ A Set represents a set of unique values of a given type. Attributes: base_type: The base type of the set. """ base_type: Union[PrimitiveFeastType, ComplexFeastType] def __init__(self, base_type: Union[PrimitiveFeastType, ComplexFeastType]): # Allow Array and Set as base types for nested collections if not isinstance(base_type, (Array, Set)): # Sets do not support MAP as a base type, nor ZonedTimestamp (there is no # ZONED_TIMESTAMP_SET ValueType for it to map to). supported_set_types = [ t for t in SUPPORTED_BASE_TYPES if t not in (Map, ZonedTimestamp) ] if base_type not in supported_set_types: raise ValueError( f"Type {type(base_type)} is currently not supported as a base type for Set." ) self.base_type = base_type def to_value_type(self) -> ValueType: if isinstance(self.base_type, (Array, Set)): return ValueType.VALUE_SET assert isinstance(self.base_type, PrimitiveFeastType) value_type_name = PRIMITIVE_FEAST_TYPES_TO_VALUE_TYPES[self.base_type.name] value_type_set_name = value_type_name + "_SET" return ValueType[value_type_set_name] def __eq__(self, other): if isinstance(other, Set): return self.base_type == other.base_type return False def __hash__(self): return hash(("Set", hash(self.base_type))) def __str__(self): return f"Set({self.base_type})" class Struct(ComplexFeastType): """ A Struct represents a structured type with named, typed fields. Attributes: fields: A dictionary mapping field names to their FeastTypes. """ fields: Dict[str, Union[PrimitiveFeastType, "ComplexFeastType"]] def __init__( self, fields: Dict[str, Union[PrimitiveFeastType, "ComplexFeastType"]] ): if not fields: raise ValueError("Struct must have at least one field.") self.fields = fields def to_value_type(self) -> ValueType: return ValueType.STRUCT def to_pyarrow_type(self) -> pyarrow.DataType: pa_fields = [] for name, feast_type in self.fields.items(): pa_type = from_feast_to_pyarrow_type(feast_type) pa_fields.append(pyarrow.field(name, pa_type)) return pyarrow.struct(pa_fields) def __str__(self): field_strs = ", ".join( f"{name}: {ftype}" for name, ftype in self.fields.items() ) return f"Struct({{{field_strs}}})" def __eq__(self, other): if isinstance(other, Struct): return self.fields == other.fields return False def __hash__(self): return hash( ( "Struct", tuple((k, hash(v)) for k, v in sorted(self.fields.items())), ) ) FeastType = Union[ComplexFeastType, PrimitiveFeastType] VALUE_TYPES_TO_FEAST_TYPES: Dict["ValueType", FeastType] = { ValueType.UNKNOWN: Invalid, ValueType.BYTES: Bytes, ValueType.PDF_BYTES: PdfBytes, ValueType.IMAGE_BYTES: ImageBytes, ValueType.STRING: String, ValueType.INT32: Int32, ValueType.INT64: Int64, ValueType.DOUBLE: Float64, ValueType.FLOAT: Float32, ValueType.BOOL: Bool, ValueType.UNIX_TIMESTAMP: UnixTimestamp, ValueType.BYTES_LIST: Array(Bytes), ValueType.STRING_LIST: Array(String), ValueType.INT32_LIST: Array(Int32), ValueType.INT64_LIST: Array(Int64), ValueType.DOUBLE_LIST: Array(Float64), ValueType.FLOAT_LIST: Array(Float32), ValueType.BOOL_LIST: Array(Bool), ValueType.UNIX_TIMESTAMP_LIST: Array(UnixTimestamp), ValueType.MAP: Map, ValueType.MAP_LIST: Array(Map), ValueType.JSON: Json, ValueType.JSON_LIST: Array(Json), ValueType.BYTES_SET: Set(Bytes), ValueType.STRING_SET: Set(String), ValueType.INT32_SET: Set(Int32), ValueType.INT64_SET: Set(Int64), ValueType.DOUBLE_SET: Set(Float64), ValueType.FLOAT_SET: Set(Float32), ValueType.BOOL_SET: Set(Bool), ValueType.UNIX_TIMESTAMP_SET: Set(UnixTimestamp), ValueType.UUID: Uuid, ValueType.TIME_UUID: TimeUuid, ValueType.UUID_LIST: Array(Uuid), ValueType.TIME_UUID_LIST: Array(TimeUuid), ValueType.UUID_SET: Set(Uuid), ValueType.TIME_UUID_SET: Set(TimeUuid), ValueType.DECIMAL: Decimal, ValueType.DECIMAL_LIST: Array(Decimal), ValueType.DECIMAL_SET: Set(Decimal), ValueType.SCALAR_MAP: ScalarMap, ValueType.ZONED_TIMESTAMP: ZonedTimestamp, } FEAST_TYPES_TO_PYARROW_TYPES = { String: pyarrow.string(), Bool: pyarrow.bool_(), Int32: pyarrow.int32(), Int64: pyarrow.int64(), Float32: pyarrow.float32(), Float64: pyarrow.float64(), # Note: datetime only supports microseconds https://github.com/python/cpython/blob/3.8/Lib/datetime.py#L1559 UnixTimestamp: pyarrow.timestamp("us", tz=_utc_now().tzname()), # Per-value zone is carried in the proto; the Arrow column type is tz-aware UTC. ZonedTimestamp: pyarrow.timestamp("us", tz="UTC"), Map: pyarrow.map_(pyarrow.string(), pyarrow.string()), Json: pyarrow.large_string(), Uuid: pyarrow.string(), TimeUuid: pyarrow.string(), Decimal: pyarrow.string(), } FEAST_VECTOR_TYPES: List[Union[ValueType, PrimitiveFeastType, ComplexFeastType]] = [ ValueType.BYTES_LIST, ValueType.INT32_LIST, ValueType.INT64_LIST, ValueType.FLOAT_LIST, ValueType.BOOL_LIST, ValueType.MAP_LIST, ] for k in VALUE_TYPES_TO_FEAST_TYPES: if k in FEAST_VECTOR_TYPES: FEAST_VECTOR_TYPES.append(VALUE_TYPES_TO_FEAST_TYPES[k]) def from_feast_to_pyarrow_type(feast_type: FeastType) -> pyarrow.DataType: """ Converts a Feast type to a PyArrow type. Args: feast_type: The Feast type to be converted. Raises: ValueError: The conversion could not be performed. """ assert isinstance(feast_type, (ComplexFeastType, PrimitiveFeastType)), ( f"Expected FeastType, got {type(feast_type)}" ) if isinstance(feast_type, Struct): return feast_type.to_pyarrow_type() if isinstance(feast_type, PrimitiveFeastType): if feast_type in FEAST_TYPES_TO_PYARROW_TYPES: return FEAST_TYPES_TO_PYARROW_TYPES[feast_type] elif isinstance(feast_type, Array): base_type = feast_type.base_type if isinstance(base_type, Struct): return pyarrow.list_(base_type.to_pyarrow_type()) if isinstance(base_type, (Array, Set)): return pyarrow.list_(from_feast_to_pyarrow_type(base_type)) if isinstance(base_type, PrimitiveFeastType): if base_type == Map: return pyarrow.list_(pyarrow.map_(pyarrow.string(), pyarrow.string())) if base_type in FEAST_TYPES_TO_PYARROW_TYPES: return pyarrow.list_(FEAST_TYPES_TO_PYARROW_TYPES[base_type]) elif isinstance(feast_type, Set): base_type = feast_type.base_type if isinstance(base_type, (Array, Set)): return pyarrow.list_(from_feast_to_pyarrow_type(base_type)) if isinstance(base_type, PrimitiveFeastType): if base_type in FEAST_TYPES_TO_PYARROW_TYPES: return pyarrow.list_(FEAST_TYPES_TO_PYARROW_TYPES[base_type]) raise ValueError(f"Could not convert Feast type {feast_type} to PyArrow type.") def from_value_type( value_type: ValueType, ) -> FeastType: """ Converts a ValueType enum to a Feast type. Args: value_type: The ValueType to be converted. Raises: ValueError: The conversion could not be performed. """ if value_type in VALUE_TYPES_TO_FEAST_TYPES: return VALUE_TYPES_TO_FEAST_TYPES[value_type] # Struct types cannot be looked up from the dict because they require # field definitions. Return a default placeholder Struct that can be # enriched later from Field tags / schema metadata. if value_type == ValueType.STRUCT: return Struct({"_value": String}) if value_type == ValueType.STRUCT_LIST: return Array(Struct({"_value": String})) # Nested collection types use placeholder inner types. # Real inner type is restored from Field tags during deserialization. if value_type == ValueType.VALUE_LIST: return Array(Array(String)) if value_type == ValueType.VALUE_SET: return Set(Array(String)) raise ValueError(f"Could not convert value type {value_type} to FeastType.") def from_feast_type( feast_type: FeastType, ) -> ValueType: """ Converts a Feast type to a ValueType enum. Args: feast_type: The Feast type to be converted. Returns: The corresponding ValueType enum. Raises: ValueError: The conversion could not be performed. """ # Handle Struct types directly since they are not in the dict if isinstance(feast_type, Struct): return ValueType.STRUCT if isinstance(feast_type, Array) and isinstance(feast_type.base_type, Struct): return ValueType.STRUCT_LIST # Handle nested collection types if isinstance(feast_type, Array) and isinstance(feast_type.base_type, (Array, Set)): return ValueType.VALUE_LIST if isinstance(feast_type, Set) and isinstance(feast_type.base_type, (Array, Set)): return ValueType.VALUE_SET if feast_type in VALUE_TYPES_TO_FEAST_TYPES.values(): return list(VALUE_TYPES_TO_FEAST_TYPES.keys())[ list(VALUE_TYPES_TO_FEAST_TYPES.values()).index(feast_type) ] raise ValueError(f"Could not convert feast type {feast_type} to ValueType.") |
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