Coverage for functions \ flipdare \ generated \ model \ internal \ restricted_word_model.py: 100%

1#!/usr/bin/env python 

2# 

3# Copyright (c) 2026 Flipdare Pty Ltd. All rights reserved. 

4# 

5# This file is part of Flipdare's proprietary software and contains 

6# confidential and copyrighted material. Unauthorised copying, 

7# modification, distribution, or use of this file is strictly 

8# prohibited without prior written permission from Flipdare Pty Ltd. 

9# 

10# This software includes third-party components licensed under MIT, 

11# BSD, and Apache 2.0 licences. See THIRD_PARTY_NOTICES for details. 

12# 

13# NOTE: THIS FILE IS AUTO GENERATED. DO NOT EDIT. 

14# 

15# Generated by codegen_models.py 

16# 

17# Modify 'codegen_models.py' 

18# and re-run the script above to update. 

19# 

20# pragma: no cover 

21from __future__ import annotations 

22from typing import Any, TypedDict, cast, Unpack 

23from enum import StrEnum 

24from pydantic import Field, ConfigDict, TypeAdapter 

25from flipdare.firestore.core.app_base_model import AppBaseModel 

26from flipdare.generated.shared.model.restriction.restricted_word_type import RestrictedWordType 

27 

28 

29class RestrictedWordKeys(StrEnum): 

30 ID = "id" 

31 WORD = "word" 

32 WORD_TYPE = "word_type" 

33 

34 

35class RestrictedWordModel(AppBaseModel): 

36 """Represents a restricted word in the system, which can be either blacklisted or whitelisted.""" 

37 

38 model_config = ConfigDict(populate_by_name=True) 

39 

40 id: str | None = Field(None, alias="id") 

41 word: str 

42 word_type: RestrictedWordType 

43 

44 @classmethod 

45 def validate_partial(cls, **data: Unpack[RestrictedWordDict]) -> dict[str, Any]: 

46 """ 

47 Uses Unpack to give you autocomplete and static warnings 

48 if you pass an invalid key or type in your code. 

49 

50 Returns a dict with Firestore field names (aliases) for use with batch.update(). 

51 """ 

52 result: dict[str, Any] = {} 

53 for k, v in data.items(): 

54 if k in cls.__pydantic_fields__: 

55 field_info = cls.__pydantic_fields__[k] 

56 validated_value = cast( 

57 "Any", 

58 TypeAdapter(field_info.annotation).validate_python(v), 

59 ) 

60 # Use alias if defined, otherwise use field name 

61 output_key = field_info.alias or k 

62 result[output_key] = validated_value 

63 return result 

64 

65 

66RESTRICTEDWORD_FIELD_NAMES: list[str] = list(RestrictedWordModel.model_fields.keys()) 

67 

68 

69class RestrictedWordDict(TypedDict, total=False): 

70 id: str | None 

71 word: str 

72 word_type: RestrictedWordType