forked from pydantic/pydantic
-
Notifications
You must be signed in to change notification settings - Fork 0
/
mypy.py
746 lines (645 loc) · 29.4 KB
/
mypy.py
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
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
from configparser import ConfigParser
from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Type as TypingType, Union
from mypy.errorcodes import ErrorCode
from mypy.nodes import (
ARG_NAMED,
ARG_NAMED_OPT,
ARG_OPT,
ARG_POS,
ARG_STAR2,
MDEF,
Argument,
AssignmentStmt,
Block,
CallExpr,
ClassDef,
Context,
Decorator,
EllipsisExpr,
FuncBase,
FuncDef,
JsonDict,
MemberExpr,
NameExpr,
PassStmt,
PlaceholderNode,
RefExpr,
StrExpr,
SymbolNode,
SymbolTableNode,
TempNode,
TypeInfo,
TypeVarExpr,
Var,
)
from mypy.options import Options
from mypy.plugin import CheckerPluginInterface, ClassDefContext, MethodContext, Plugin, SemanticAnalyzerPluginInterface
from mypy.plugins import dataclasses
from mypy.semanal import set_callable_name # type: ignore
from mypy.server.trigger import make_wildcard_trigger
from mypy.types import (
AnyType,
CallableType,
Instance,
NoneType,
Type,
TypeOfAny,
TypeType,
TypeVarType,
UnionType,
get_proper_type,
)
from mypy.typevars import fill_typevars
from mypy.util import get_unique_redefinition_name
from mypy.version import __version__ as mypy_version
from pydantic.utils import is_valid_field
try:
from mypy.types import TypeVarDef # type: ignore[attr-defined]
except ImportError: # pragma: no cover
# Backward-compatible with TypeVarDef from Mypy 0.910.
from mypy.types import TypeVarType as TypeVarDef
CONFIGFILE_KEY = 'pydantic-mypy'
METADATA_KEY = 'pydantic-mypy-metadata'
BASEMODEL_FULLNAME = 'pydantic.main.BaseModel'
BASESETTINGS_FULLNAME = 'pydantic.env_settings.BaseSettings'
FIELD_FULLNAME = 'pydantic.fields.Field'
DATACLASS_FULLNAME = 'pydantic.dataclasses.dataclass'
BUILTINS_NAME = 'builtins' if float(mypy_version) >= 0.930 else '__builtins__'
def plugin(version: str) -> 'TypingType[Plugin]':
"""
`version` is the mypy version string
We might want to use this to print a warning if the mypy version being used is
newer, or especially older, than we expect (or need).
"""
return PydanticPlugin
class PydanticPlugin(Plugin):
def __init__(self, options: Options) -> None:
self.plugin_config = PydanticPluginConfig(options)
super().__init__(options)
def get_base_class_hook(self, fullname: str) -> 'Optional[Callable[[ClassDefContext], None]]':
sym = self.lookup_fully_qualified(fullname)
if sym and isinstance(sym.node, TypeInfo): # pragma: no branch
# No branching may occur if the mypy cache has not been cleared
if any(get_fullname(base) == BASEMODEL_FULLNAME for base in sym.node.mro):
return self._pydantic_model_class_maker_callback
return None
def get_method_hook(self, fullname: str) -> Optional[Callable[[MethodContext], Type]]:
if fullname.endswith('.from_orm'):
return from_orm_callback
return None
def get_class_decorator_hook(self, fullname: str) -> Optional[Callable[[ClassDefContext], None]]:
if fullname == DATACLASS_FULLNAME:
return dataclasses.dataclass_class_maker_callback
return None
def _pydantic_model_class_maker_callback(self, ctx: ClassDefContext) -> None:
transformer = PydanticModelTransformer(ctx, self.plugin_config)
transformer.transform()
class PydanticPluginConfig:
__slots__ = ('init_forbid_extra', 'init_typed', 'warn_required_dynamic_aliases', 'warn_untyped_fields')
init_forbid_extra: bool
init_typed: bool
warn_required_dynamic_aliases: bool
warn_untyped_fields: bool
def __init__(self, options: Options) -> None:
if options.config_file is None: # pragma: no cover
return
toml_config = parse_toml(options.config_file)
if toml_config is not None:
config = toml_config.get('tool', {}).get('pydantic-mypy', {})
for key in self.__slots__:
setting = config.get(key, False)
if not isinstance(setting, bool):
raise ValueError(f'Configuration value must be a boolean for key: {key}')
setattr(self, key, setting)
else:
plugin_config = ConfigParser()
plugin_config.read(options.config_file)
for key in self.__slots__:
setting = plugin_config.getboolean(CONFIGFILE_KEY, key, fallback=False)
setattr(self, key, setting)
def from_orm_callback(ctx: MethodContext) -> Type:
"""
Raise an error if orm_mode is not enabled
"""
model_type: Instance
if isinstance(ctx.type, CallableType) and isinstance(ctx.type.ret_type, Instance):
model_type = ctx.type.ret_type # called on the class
elif isinstance(ctx.type, Instance):
model_type = ctx.type # called on an instance (unusual, but still valid)
else: # pragma: no cover
detail = f'ctx.type: {ctx.type} (of type {ctx.type.__class__.__name__})'
error_unexpected_behavior(detail, ctx.api, ctx.context)
return ctx.default_return_type
pydantic_metadata = model_type.type.metadata.get(METADATA_KEY)
if pydantic_metadata is None:
return ctx.default_return_type
orm_mode = pydantic_metadata.get('config', {}).get('orm_mode')
if orm_mode is not True:
error_from_orm(get_name(model_type.type), ctx.api, ctx.context)
return ctx.default_return_type
class PydanticModelTransformer:
tracked_config_fields: Set[str] = {
'extra',
'allow_mutation',
'frozen',
'orm_mode',
'allow_population_by_field_name',
'alias_generator',
}
def __init__(self, ctx: ClassDefContext, plugin_config: PydanticPluginConfig) -> None:
self._ctx = ctx
self.plugin_config = plugin_config
def transform(self) -> None:
"""
Configures the BaseModel subclass according to the plugin settings.
In particular:
* determines the model config and fields,
* adds a fields-aware signature for the initializer and construct methods
* freezes the class if allow_mutation = False or frozen = True
* stores the fields, config, and if the class is settings in the mypy metadata for access by subclasses
"""
ctx = self._ctx
info = self._ctx.cls.info
config = self.collect_config()
fields = self.collect_fields(config)
for field in fields:
if info[field.name].type is None:
if not ctx.api.final_iteration:
ctx.api.defer()
is_settings = any(get_fullname(base) == BASESETTINGS_FULLNAME for base in info.mro[:-1])
self.add_initializer(fields, config, is_settings)
self.add_construct_method(fields)
self.set_frozen(fields, frozen=config.allow_mutation is False or config.frozen is True)
info.metadata[METADATA_KEY] = {
'fields': {field.name: field.serialize() for field in fields},
'config': config.set_values_dict(),
}
def collect_config(self) -> 'ModelConfigData':
"""
Collects the values of the config attributes that are used by the plugin, accounting for parent classes.
"""
ctx = self._ctx
cls = ctx.cls
config = ModelConfigData()
for stmt in cls.defs.body:
if not isinstance(stmt, ClassDef):
continue
if stmt.name == 'Config':
for substmt in stmt.defs.body:
if not isinstance(substmt, AssignmentStmt):
continue
config.update(self.get_config_update(substmt))
if (
config.has_alias_generator
and not config.allow_population_by_field_name
and self.plugin_config.warn_required_dynamic_aliases
):
error_required_dynamic_aliases(ctx.api, stmt)
for info in cls.info.mro[1:]: # 0 is the current class
if METADATA_KEY not in info.metadata:
continue
# Each class depends on the set of fields in its ancestors
ctx.api.add_plugin_dependency(make_wildcard_trigger(get_fullname(info)))
for name, value in info.metadata[METADATA_KEY]['config'].items():
config.setdefault(name, value)
return config
def collect_fields(self, model_config: 'ModelConfigData') -> List['PydanticModelField']:
"""
Collects the fields for the model, accounting for parent classes
"""
# First, collect fields belonging to the current class.
ctx = self._ctx
cls = self._ctx.cls
fields = [] # type: List[PydanticModelField]
known_fields = set() # type: Set[str]
for stmt in cls.defs.body:
if not isinstance(stmt, AssignmentStmt): # `and stmt.new_syntax` to require annotation
continue
lhs = stmt.lvalues[0]
if not isinstance(lhs, NameExpr) or not is_valid_field(lhs.name):
continue
if not stmt.new_syntax and self.plugin_config.warn_untyped_fields:
error_untyped_fields(ctx.api, stmt)
# if lhs.name == '__config__': # BaseConfig not well handled; I'm not sure why yet
# continue
sym = cls.info.names.get(lhs.name)
if sym is None: # pragma: no cover
# This is likely due to a star import (see the dataclasses plugin for a more detailed explanation)
# This is the same logic used in the dataclasses plugin
continue
node = sym.node
if isinstance(node, PlaceholderNode): # pragma: no cover
# See the PlaceholderNode docstring for more detail about how this can occur
# Basically, it is an edge case when dealing with complex import logic
# This is the same logic used in the dataclasses plugin
continue
if not isinstance(node, Var): # pragma: no cover
# Don't know if this edge case still happens with the `is_valid_field` check above
# but better safe than sorry
continue
# x: ClassVar[int] is ignored by dataclasses.
if node.is_classvar:
continue
is_required = self.get_is_required(cls, stmt, lhs)
alias, has_dynamic_alias = self.get_alias_info(stmt)
if (
has_dynamic_alias
and not model_config.allow_population_by_field_name
and self.plugin_config.warn_required_dynamic_aliases
):
error_required_dynamic_aliases(ctx.api, stmt)
fields.append(
PydanticModelField(
name=lhs.name,
is_required=is_required,
alias=alias,
has_dynamic_alias=has_dynamic_alias,
line=stmt.line,
column=stmt.column,
)
)
known_fields.add(lhs.name)
all_fields = fields.copy()
for info in cls.info.mro[1:]: # 0 is the current class, -2 is BaseModel, -1 is object
if METADATA_KEY not in info.metadata:
continue
superclass_fields = []
# Each class depends on the set of fields in its ancestors
ctx.api.add_plugin_dependency(make_wildcard_trigger(get_fullname(info)))
for name, data in info.metadata[METADATA_KEY]['fields'].items():
if name not in known_fields:
field = PydanticModelField.deserialize(info, data)
known_fields.add(name)
superclass_fields.append(field)
else:
(field,) = [a for a in all_fields if a.name == name]
all_fields.remove(field)
superclass_fields.append(field)
all_fields = superclass_fields + all_fields
return all_fields
def add_initializer(self, fields: List['PydanticModelField'], config: 'ModelConfigData', is_settings: bool) -> None:
"""
Adds a fields-aware `__init__` method to the class.
The added `__init__` will be annotated with types vs. all `Any` depending on the plugin settings.
"""
ctx = self._ctx
typed = self.plugin_config.init_typed
use_alias = config.allow_population_by_field_name is not True
force_all_optional = is_settings or bool(
config.has_alias_generator and not config.allow_population_by_field_name
)
init_arguments = self.get_field_arguments(
fields, typed=typed, force_all_optional=force_all_optional, use_alias=use_alias
)
if not self.should_init_forbid_extra(fields, config):
var = Var('kwargs')
init_arguments.append(Argument(var, AnyType(TypeOfAny.explicit), None, ARG_STAR2))
add_method(ctx, '__init__', init_arguments, NoneType())
def add_construct_method(self, fields: List['PydanticModelField']) -> None:
"""
Adds a fully typed `construct` classmethod to the class.
Similar to the fields-aware __init__ method, but always uses the field names (not aliases),
and does not treat settings fields as optional.
"""
ctx = self._ctx
set_str = ctx.api.named_type(f'{BUILTINS_NAME}.set', [ctx.api.named_type(f'{BUILTINS_NAME}.str')])
optional_set_str = UnionType([set_str, NoneType()])
fields_set_argument = Argument(Var('_fields_set', optional_set_str), optional_set_str, None, ARG_OPT)
construct_arguments = self.get_field_arguments(fields, typed=True, force_all_optional=False, use_alias=False)
construct_arguments = [fields_set_argument] + construct_arguments
obj_type = ctx.api.named_type(f'{BUILTINS_NAME}.object')
self_tvar_name = '_PydanticBaseModel' # Make sure it does not conflict with other names in the class
tvar_fullname = ctx.cls.fullname + '.' + self_tvar_name
tvd = TypeVarDef(self_tvar_name, tvar_fullname, -1, [], obj_type)
self_tvar_expr = TypeVarExpr(self_tvar_name, tvar_fullname, [], obj_type)
ctx.cls.info.names[self_tvar_name] = SymbolTableNode(MDEF, self_tvar_expr)
# Backward-compatible with TypeVarDef from Mypy 0.910.
if isinstance(tvd, TypeVarType):
self_type = tvd
else:
self_type = TypeVarType(tvd) # type: ignore[call-arg]
add_method(
ctx,
'construct',
construct_arguments,
return_type=self_type,
self_type=self_type,
tvar_def=tvd,
is_classmethod=True,
)
def set_frozen(self, fields: List['PydanticModelField'], frozen: bool) -> None:
"""
Marks all fields as properties so that attempts to set them trigger mypy errors.
This is the same approach used by the attrs and dataclasses plugins.
"""
info = self._ctx.cls.info
for field in fields:
sym_node = info.names.get(field.name)
if sym_node is not None:
var = sym_node.node
assert isinstance(var, Var)
var.is_property = frozen
else:
var = field.to_var(info, use_alias=False)
var.info = info
var.is_property = frozen
var._fullname = get_fullname(info) + '.' + get_name(var)
info.names[get_name(var)] = SymbolTableNode(MDEF, var)
def get_config_update(self, substmt: AssignmentStmt) -> Optional['ModelConfigData']:
"""
Determines the config update due to a single statement in the Config class definition.
Warns if a tracked config attribute is set to a value the plugin doesn't know how to interpret (e.g., an int)
"""
lhs = substmt.lvalues[0]
if not (isinstance(lhs, NameExpr) and lhs.name in self.tracked_config_fields):
return None
if lhs.name == 'extra':
if isinstance(substmt.rvalue, StrExpr):
forbid_extra = substmt.rvalue.value == 'forbid'
elif isinstance(substmt.rvalue, MemberExpr):
forbid_extra = substmt.rvalue.name == 'forbid'
else:
error_invalid_config_value(lhs.name, self._ctx.api, substmt)
return None
return ModelConfigData(forbid_extra=forbid_extra)
if lhs.name == 'alias_generator':
has_alias_generator = True
if isinstance(substmt.rvalue, NameExpr) and substmt.rvalue.fullname == 'builtins.None':
has_alias_generator = False
return ModelConfigData(has_alias_generator=has_alias_generator)
if isinstance(substmt.rvalue, NameExpr) and substmt.rvalue.fullname in ('builtins.True', 'builtins.False'):
return ModelConfigData(**{lhs.name: substmt.rvalue.fullname == 'builtins.True'})
error_invalid_config_value(lhs.name, self._ctx.api, substmt)
return None
@staticmethod
def get_is_required(cls: ClassDef, stmt: AssignmentStmt, lhs: NameExpr) -> bool:
"""
Returns a boolean indicating whether the field defined in `stmt` is a required field.
"""
expr = stmt.rvalue
if isinstance(expr, TempNode):
# TempNode means annotation-only, so only non-required if Optional
value_type = get_proper_type(cls.info[lhs.name].type)
if isinstance(value_type, UnionType) and any(isinstance(item, NoneType) for item in value_type.items):
# Annotated as Optional, or otherwise having NoneType in the union
return False
return True
if isinstance(expr, CallExpr) and isinstance(expr.callee, RefExpr) and expr.callee.fullname == FIELD_FULLNAME:
# The "default value" is a call to `Field`; at this point, the field is
# only required if default is Ellipsis (i.e., `field_name: Annotation = Field(...)`) or if default_factory
# is specified.
for arg, name in zip(expr.args, expr.arg_names):
# If name is None, then this arg is the default because it is the only positonal argument.
if name is None or name == 'default':
return arg.__class__ is EllipsisExpr
if name == 'default_factory':
return False
return True
# Only required if the "default value" is Ellipsis (i.e., `field_name: Annotation = ...`)
return isinstance(expr, EllipsisExpr)
@staticmethod
def get_alias_info(stmt: AssignmentStmt) -> Tuple[Optional[str], bool]:
"""
Returns a pair (alias, has_dynamic_alias), extracted from the declaration of the field defined in `stmt`.
`has_dynamic_alias` is True if and only if an alias is provided, but not as a string literal.
If `has_dynamic_alias` is True, `alias` will be None.
"""
expr = stmt.rvalue
if isinstance(expr, TempNode):
# TempNode means annotation-only
return None, False
if not (
isinstance(expr, CallExpr) and isinstance(expr.callee, RefExpr) and expr.callee.fullname == FIELD_FULLNAME
):
# Assigned value is not a call to pydantic.fields.Field
return None, False
for i, arg_name in enumerate(expr.arg_names):
if arg_name != 'alias':
continue
arg = expr.args[i]
if isinstance(arg, StrExpr):
return arg.value, False
else:
return None, True
return None, False
def get_field_arguments(
self, fields: List['PydanticModelField'], typed: bool, force_all_optional: bool, use_alias: bool
) -> List[Argument]:
"""
Helper function used during the construction of the `__init__` and `construct` method signatures.
Returns a list of mypy Argument instances for use in the generated signatures.
"""
info = self._ctx.cls.info
arguments = [
field.to_argument(info, typed=typed, force_optional=force_all_optional, use_alias=use_alias)
for field in fields
if not (use_alias and field.has_dynamic_alias)
]
return arguments
def should_init_forbid_extra(self, fields: List['PydanticModelField'], config: 'ModelConfigData') -> bool:
"""
Indicates whether the generated `__init__` should get a `**kwargs` at the end of its signature
We disallow arbitrary kwargs if the extra config setting is "forbid", or if the plugin config says to,
*unless* a required dynamic alias is present (since then we can't determine a valid signature).
"""
if not config.allow_population_by_field_name:
if self.is_dynamic_alias_present(fields, bool(config.has_alias_generator)):
return False
if config.forbid_extra:
return True
return self.plugin_config.init_forbid_extra
@staticmethod
def is_dynamic_alias_present(fields: List['PydanticModelField'], has_alias_generator: bool) -> bool:
"""
Returns whether any fields on the model have a "dynamic alias", i.e., an alias that cannot be
determined during static analysis.
"""
for field in fields:
if field.has_dynamic_alias:
return True
if has_alias_generator:
for field in fields:
if field.alias is None:
return True
return False
class PydanticModelField:
def __init__(
self, name: str, is_required: bool, alias: Optional[str], has_dynamic_alias: bool, line: int, column: int
):
self.name = name
self.is_required = is_required
self.alias = alias
self.has_dynamic_alias = has_dynamic_alias
self.line = line
self.column = column
def to_var(self, info: TypeInfo, use_alias: bool) -> Var:
name = self.name
if use_alias and self.alias is not None:
name = self.alias
return Var(name, info[self.name].type)
def to_argument(self, info: TypeInfo, typed: bool, force_optional: bool, use_alias: bool) -> Argument:
if typed and info[self.name].type is not None:
type_annotation = info[self.name].type
else:
type_annotation = AnyType(TypeOfAny.explicit)
return Argument(
variable=self.to_var(info, use_alias),
type_annotation=type_annotation,
initializer=None,
kind=ARG_NAMED_OPT if force_optional or not self.is_required else ARG_NAMED,
)
def serialize(self) -> JsonDict:
return self.__dict__
@classmethod
def deserialize(cls, info: TypeInfo, data: JsonDict) -> 'PydanticModelField':
return cls(**data)
class ModelConfigData:
def __init__(
self,
forbid_extra: Optional[bool] = None,
allow_mutation: Optional[bool] = None,
frozen: Optional[bool] = None,
orm_mode: Optional[bool] = None,
allow_population_by_field_name: Optional[bool] = None,
has_alias_generator: Optional[bool] = None,
):
self.forbid_extra = forbid_extra
self.allow_mutation = allow_mutation
self.frozen = frozen
self.orm_mode = orm_mode
self.allow_population_by_field_name = allow_population_by_field_name
self.has_alias_generator = has_alias_generator
def set_values_dict(self) -> Dict[str, Any]:
return {k: v for k, v in self.__dict__.items() if v is not None}
def update(self, config: Optional['ModelConfigData']) -> None:
if config is None:
return
for k, v in config.set_values_dict().items():
setattr(self, k, v)
def setdefault(self, key: str, value: Any) -> None:
if getattr(self, key) is None:
setattr(self, key, value)
ERROR_ORM = ErrorCode('pydantic-orm', 'Invalid from_orm call', 'Pydantic')
ERROR_CONFIG = ErrorCode('pydantic-config', 'Invalid config value', 'Pydantic')
ERROR_ALIAS = ErrorCode('pydantic-alias', 'Dynamic alias disallowed', 'Pydantic')
ERROR_UNEXPECTED = ErrorCode('pydantic-unexpected', 'Unexpected behavior', 'Pydantic')
ERROR_UNTYPED = ErrorCode('pydantic-field', 'Untyped field disallowed', 'Pydantic')
def error_from_orm(model_name: str, api: CheckerPluginInterface, context: Context) -> None:
api.fail(f'"{model_name}" does not have orm_mode=True', context, code=ERROR_ORM)
def error_invalid_config_value(name: str, api: SemanticAnalyzerPluginInterface, context: Context) -> None:
api.fail(f'Invalid value for "Config.{name}"', context, code=ERROR_CONFIG)
def error_required_dynamic_aliases(api: SemanticAnalyzerPluginInterface, context: Context) -> None:
api.fail('Required dynamic aliases disallowed', context, code=ERROR_ALIAS)
def error_unexpected_behavior(detail: str, api: CheckerPluginInterface, context: Context) -> None: # pragma: no cover
# Can't think of a good way to test this, but I confirmed it renders as desired by adding to a non-error path
link = 'https://github.com/samuelcolvin/pydantic/issues/new/choose'
full_message = f'The pydantic mypy plugin ran into unexpected behavior: {detail}\n'
full_message += f'Please consider reporting this bug at {link} so we can try to fix it!'
api.fail(full_message, context, code=ERROR_UNEXPECTED)
def error_untyped_fields(api: SemanticAnalyzerPluginInterface, context: Context) -> None:
api.fail('Untyped fields disallowed', context, code=ERROR_UNTYPED)
def add_method(
ctx: ClassDefContext,
name: str,
args: List[Argument],
return_type: Type,
self_type: Optional[Type] = None,
tvar_def: Optional[TypeVarDef] = None,
is_classmethod: bool = False,
is_new: bool = False,
# is_staticmethod: bool = False,
) -> None:
"""
Adds a new method to a class.
This can be dropped if/when https://github.com/python/mypy/issues/7301 is merged
"""
info = ctx.cls.info
# First remove any previously generated methods with the same name
# to avoid clashes and problems in the semantic analyzer.
if name in info.names:
sym = info.names[name]
if sym.plugin_generated and isinstance(sym.node, FuncDef):
ctx.cls.defs.body.remove(sym.node)
self_type = self_type or fill_typevars(info)
if is_classmethod or is_new:
first = [Argument(Var('_cls'), TypeType.make_normalized(self_type), None, ARG_POS)]
# elif is_staticmethod:
# first = []
else:
self_type = self_type or fill_typevars(info)
first = [Argument(Var('__pydantic_self__'), self_type, None, ARG_POS)]
args = first + args
arg_types, arg_names, arg_kinds = [], [], []
for arg in args:
assert arg.type_annotation, 'All arguments must be fully typed.'
arg_types.append(arg.type_annotation)
arg_names.append(get_name(arg.variable))
arg_kinds.append(arg.kind)
function_type = ctx.api.named_type(f'{BUILTINS_NAME}.function')
signature = CallableType(arg_types, arg_kinds, arg_names, return_type, function_type)
if tvar_def:
signature.variables = [tvar_def]
func = FuncDef(name, args, Block([PassStmt()]))
func.info = info
func.type = set_callable_name(signature, func)
func.is_class = is_classmethod
# func.is_static = is_staticmethod
func._fullname = get_fullname(info) + '.' + name
func.line = info.line
# NOTE: we would like the plugin generated node to dominate, but we still
# need to keep any existing definitions so they get semantically analyzed.
if name in info.names:
# Get a nice unique name instead.
r_name = get_unique_redefinition_name(name, info.names)
info.names[r_name] = info.names[name]
if is_classmethod: # or is_staticmethod:
func.is_decorated = True
v = Var(name, func.type)
v.info = info
v._fullname = func._fullname
# if is_classmethod:
v.is_classmethod = True
dec = Decorator(func, [NameExpr('classmethod')], v)
# else:
# v.is_staticmethod = True
# dec = Decorator(func, [NameExpr('staticmethod')], v)
dec.line = info.line
sym = SymbolTableNode(MDEF, dec)
else:
sym = SymbolTableNode(MDEF, func)
sym.plugin_generated = True
info.names[name] = sym
info.defn.defs.body.append(func)
def get_fullname(x: Union[FuncBase, SymbolNode]) -> str:
"""
Used for compatibility with mypy 0.740; can be dropped once support for 0.740 is dropped.
"""
fn = x.fullname
if callable(fn): # pragma: no cover
return fn()
return fn
def get_name(x: Union[FuncBase, SymbolNode]) -> str:
"""
Used for compatibility with mypy 0.740; can be dropped once support for 0.740 is dropped.
"""
fn = x.name
if callable(fn): # pragma: no cover
return fn()
return fn
def parse_toml(config_file: str) -> Optional[Dict[str, Any]]:
if not config_file.endswith('.toml'):
return None
read_mode = 'rb'
try:
import tomli as toml_
except ImportError:
# older versions of mypy have toml as a dependency, not tomli
read_mode = 'r'
try:
import toml as toml_ # type: ignore[no-redef]
except ImportError: # pragma: no cover
import warnings
warnings.warn('No TOML parser installed, cannot read configuration from `pyproject.toml`.')
return None
with open(config_file, read_mode) as rf:
return toml_.load(rf) # type: ignore[arg-type]