Coverage for fingerprint_server_sdk / models / supplementary_id_high_recall.py: 73%
37 statements
« prev ^ index » next coverage.py v7.13.4, created at 2026-03-11 18:41 +0000
« prev ^ index » next coverage.py v7.13.4, created at 2026-03-11 18:41 +0000
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.
6The version of the OpenAPI document: 4
7Contact: support@fingerprint.com
8Generated by OpenAPI Generator (https://openapi-generator.tech)
10Do not edit the class manually.
11""" # noqa: E501
13from __future__ import annotations
15import json
16import pprint
17import re # noqa: F401
18from typing import Any, ClassVar, Optional
20from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictInt, StrictStr
21from typing_extensions import Self
23from fingerprint_server_sdk.models.identification_confidence import IdentificationConfidence
26class SupplementaryIDHighRecall(BaseModel):
27 """
28 A supplementary browser identifier that prioritizes coverage over precision. The High Recall ID algorithm matches more generously, i.e., this identifier will remain the same even when there are subtle differences between two requests. This algorithm does not create as many new visitor IDs as the standard algorithms do, but there could be an increase in false-positive identification.
29 """
31 visitor_id: StrictStr = Field(
32 description="String of 20 characters that uniquely identifies the visitor's browser or mobile device."
33 )
34 visitor_found: StrictBool = Field(
35 description='Attribute represents if a visitor had been identified before.'
36 )
37 confidence: Optional[IdentificationConfidence] = None
38 first_seen_at: Optional[StrictInt] = Field(
39 default=None,
40 description='Unix epoch time milliseconds timestamp indicating the time at which this ID was first seen. example: `1758069706642` - Corresponding to Wed Sep 17 2025 00:41:46 GMT+0000 ',
41 )
42 last_seen_at: Optional[StrictInt] = Field(
43 default=None,
44 description='Unix epoch time milliseconds timestamp indicating the time at which this ID was last seen. example: `1758069706642` - Corresponding to Wed Sep 17 2025 00:41:46 GMT+0000 ',
45 )
46 __properties: ClassVar[list[str]] = [
47 'visitor_id',
48 'visitor_found',
49 'confidence',
50 'first_seen_at',
51 'last_seen_at',
52 ]
54 model_config = ConfigDict(
55 populate_by_name=True,
56 validate_assignment=True,
57 protected_namespaces=(),
58 )
60 def to_str(self) -> str:
61 """Returns the string representation of the model using alias"""
62 return pprint.pformat(self.model_dump(by_alias=True))
64 def to_json(self) -> str:
65 """Returns the JSON representation of the model using alias"""
66 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
67 return json.dumps(self.to_dict())
69 @classmethod
70 def from_json(cls, json_str: str) -> Optional[Self]:
71 """Create an instance of SupplementaryIDHighRecall from a JSON string"""
72 return cls.from_dict(json.loads(json_str))
74 def to_dict(self) -> dict[str, Any]:
75 """Return the dictionary representation of the model using alias.
77 This has the following differences from calling pydantic's
78 `self.model_dump(by_alias=True)`:
80 * `None` is only added to the output dict for nullable fields that
81 were set at model initialization. Other fields with value `None`
82 are ignored.
83 """
84 excluded_fields: set[str] = set([])
86 _dict = self.model_dump(
87 by_alias=True,
88 exclude=excluded_fields,
89 exclude_none=True,
90 )
91 # override the default output from pydantic by calling `to_dict()` of confidence
92 if self.confidence:
93 _dict['confidence'] = self.confidence.to_dict()
94 return _dict
96 @classmethod
97 def from_dict(cls, obj: Optional[dict[str, Any]]) -> Optional[Self]:
98 """Create an instance of SupplementaryIDHighRecall from a dict"""
99 if obj is None:
100 return None
102 if not isinstance(obj, dict):
103 return cls.model_validate(obj)
105 _obj = cls.model_validate(
106 {
107 'visitor_id': obj.get('visitor_id'),
108 'visitor_found': obj.get('visitor_found'),
109 'confidence': IdentificationConfidence.from_dict(obj['confidence'])
110 if obj.get('confidence') is not None
111 else None,
112 'first_seen_at': obj.get('first_seen_at'),
113 'last_seen_at': obj.get('last_seen_at'),
114 }
115 )
116 return _obj