Coverage for fingerprint_server_sdk / models / tampering_details.py: 74%

1""" 

2Server API 

3Fingerprint Server API allows you to get, search, and update Events in a server environment. It can be used for data exports, decision-making, and data analysis scenarios. 

4Server API is intended for server-side usage, it's not intended to be used from the client side, whether it's a browser or a mobile device. 

5 

6The version of the OpenAPI document: 4 

7Contact: support@fingerprint.com 

8Generated by OpenAPI Generator (https://openapi-generator.tech) 

9 

10Do not edit the class manually. 

11""" # noqa: E501 

12 

13from __future__ import annotations 

14 

15import json 

16import pprint 

17import re # noqa: F401 

18from typing import Annotated, Any, ClassVar, Optional, Union 

19 

20from pydantic import BaseModel, ConfigDict, Field, StrictBool 

21from typing_extensions import Self 

22 

23 

24class TamperingDetails(BaseModel): 

25 """ 

26 TamperingDetails 

27 """ 

28 

29 anomaly_score: Optional[ 

30 Union[ 

31 Annotated[float, Field(le=1, strict=True, ge=0)], 

32 Annotated[int, Field(le=1, strict=True, ge=0)], 

33 ] 

34 ] = Field( 

35 default=None, 

36 description='Confidence score (`0.0 - 1.0`) for tampering detection: * Values above `0.5` indicate tampering. * Values below `0.5` indicate genuine browsers. ', 

37 ) 

38 anti_detect_browser: Optional[StrictBool] = Field( 

39 default=None, 

40 description='True if the identified browser resembles an "anti-detect" browser, such as Incognition, which attempts to evade identification by manipulating its fingerprint. ', 

41 ) 

42 __properties: ClassVar[list[str]] = ['anomaly_score', 'anti_detect_browser'] 

43 

44 model_config = ConfigDict( 

45 populate_by_name=True, 

46 validate_assignment=True, 

47 protected_namespaces=(), 

48 ) 

49 

50 def to_str(self) -> str: 

51 """Returns the string representation of the model using alias""" 

52 return pprint.pformat(self.model_dump(by_alias=True)) 

53 

54 def to_json(self) -> str: 

55 """Returns the JSON representation of the model using alias""" 

56 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 

57 return json.dumps(self.to_dict()) 

58 

59 @classmethod 

60 def from_json(cls, json_str: str) -> Optional[Self]: 

61 """Create an instance of TamperingDetails from a JSON string""" 

62 return cls.from_dict(json.loads(json_str)) 

63 

64 def to_dict(self) -> dict[str, Any]: 

65 """Return the dictionary representation of the model using alias. 

66 

67 This has the following differences from calling pydantic's 

68 `self.model_dump(by_alias=True)`: 

69 

70 * `None` is only added to the output dict for nullable fields that 

71 were set at model initialization. Other fields with value `None` 

72 are ignored. 

73 """ 

74 excluded_fields: set[str] = set([]) 

75 

76 _dict = self.model_dump( 

77 by_alias=True, 

78 exclude=excluded_fields, 

79 exclude_none=True, 

80 ) 

81 return _dict 

82 

83 @classmethod 

84 def from_dict(cls, obj: Optional[dict[str, Any]]) -> Optional[Self]: 

85 """Create an instance of TamperingDetails from a dict""" 

86 if obj is None: 

87 return None 

88 

89 if not isinstance(obj, dict): 

90 return cls.model_validate(obj) 

91 

92 _obj = cls.model_validate( 

93 { 

94 'anomaly_score': obj.get('anomaly_score'), 

95 'anti_detect_browser': obj.get('anti_detect_browser'), 

96 } 

97 ) 

98 return _obj