fleet-memory/hindsight-clients/python/hindsight_client_api/models/not1.py
Nicolò Boschi 2c32ffadc9
fix(mental-models): add tags_match and tag_groups to trigger config (#786) (#804)
When a mental model has tags, refresh_mental_model hardcoded
tags_match="all_strict", causing empty results when most memories
are untagged. Add configurable tags_match and tag_groups fields
to MentalModelTrigger so users can control refresh filtering.

- Add tags_match (any/all/any_strict/all_strict) to override default
- Add tag_groups for compound boolean tag expressions during refresh
- Default behavior unchanged (all_strict when tags present)
- Update both refresh paths (task-based and direct)
- Add UI controls in Create/Update mental model dialogs
- Regenerate OpenAPI spec and client SDKs
2026-03-31 18:09:01 +02:00

166 lines
6.3 KiB
Python

# coding: utf-8
"""
Hindsight HTTP API
HTTP API for Hindsight
The version of the OpenAPI document: 0.4.21
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
from inspect import getfullargspec
import json
import pprint
import re # noqa: F401
from pydantic import BaseModel, ConfigDict, Field, StrictStr, ValidationError, field_validator
from typing import Optional
from hindsight_client_api.models.tag_group_leaf import TagGroupLeaf
from typing import Union, Any, List, Set, TYPE_CHECKING, Optional, Dict
from typing_extensions import Literal, Self
from pydantic import Field
NOT1_ANY_OF_SCHEMAS = ["TagGroupAndOutput", "TagGroupLeaf", "TagGroupNotOutput", "TagGroupOrOutput"]
class Not1(BaseModel):
"""
Not1
"""
# data type: TagGroupLeaf
anyof_schema_1_validator: Optional[TagGroupLeaf] = None
# data type: TagGroupAndOutput
anyof_schema_2_validator: Optional[TagGroupAndOutput] = None
# data type: TagGroupOrOutput
anyof_schema_3_validator: Optional[TagGroupOrOutput] = None
# data type: TagGroupNotOutput
anyof_schema_4_validator: Optional[TagGroupNotOutput] = None
if TYPE_CHECKING:
actual_instance: Optional[Union[TagGroupAndOutput, TagGroupLeaf, TagGroupNotOutput, TagGroupOrOutput]] = None
else:
actual_instance: Any = None
any_of_schemas: Set[str] = { "TagGroupAndOutput", "TagGroupLeaf", "TagGroupNotOutput", "TagGroupOrOutput" }
model_config = {
"validate_assignment": True,
"protected_namespaces": (),
}
def __init__(self, *args, **kwargs) -> None:
if args:
if len(args) > 1:
raise ValueError("If a position argument is used, only 1 is allowed to set `actual_instance`")
if kwargs:
raise ValueError("If a position argument is used, keyword arguments cannot be used.")
super().__init__(actual_instance=args[0])
else:
super().__init__(**kwargs)
@field_validator('actual_instance')
def actual_instance_must_validate_anyof(cls, v):
instance = Not1.model_construct()
error_messages = []
# validate data type: TagGroupLeaf
if not isinstance(v, TagGroupLeaf):
error_messages.append(f"Error! Input type `{type(v)}` is not `TagGroupLeaf`")
else:
return v
# validate data type: TagGroupAndOutput
if not isinstance(v, TagGroupAndOutput):
error_messages.append(f"Error! Input type `{type(v)}` is not `TagGroupAndOutput`")
else:
return v
# validate data type: TagGroupOrOutput
if not isinstance(v, TagGroupOrOutput):
error_messages.append(f"Error! Input type `{type(v)}` is not `TagGroupOrOutput`")
else:
return v
# validate data type: TagGroupNotOutput
if not isinstance(v, TagGroupNotOutput):
error_messages.append(f"Error! Input type `{type(v)}` is not `TagGroupNotOutput`")
else:
return v
if error_messages:
# no match
raise ValueError("No match found when setting the actual_instance in Not1 with anyOf schemas: TagGroupAndOutput, TagGroupLeaf, TagGroupNotOutput, TagGroupOrOutput. Details: " + ", ".join(error_messages))
else:
return v
@classmethod
def from_dict(cls, obj: Dict[str, Any]) -> Self:
return cls.from_json(json.dumps(obj))
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Returns the object represented by the json string"""
instance = cls.model_construct()
error_messages = []
# anyof_schema_1_validator: Optional[TagGroupLeaf] = None
try:
instance.actual_instance = TagGroupLeaf.from_json(json_str)
return instance
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# anyof_schema_2_validator: Optional[TagGroupAndOutput] = None
try:
instance.actual_instance = TagGroupAndOutput.from_json(json_str)
return instance
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# anyof_schema_3_validator: Optional[TagGroupOrOutput] = None
try:
instance.actual_instance = TagGroupOrOutput.from_json(json_str)
return instance
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# anyof_schema_4_validator: Optional[TagGroupNotOutput] = None
try:
instance.actual_instance = TagGroupNotOutput.from_json(json_str)
return instance
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
if error_messages:
# no match
raise ValueError("No match found when deserializing the JSON string into Not1 with anyOf schemas: TagGroupAndOutput, TagGroupLeaf, TagGroupNotOutput, TagGroupOrOutput. Details: " + ", ".join(error_messages))
else:
return instance
def to_json(self) -> str:
"""Returns the JSON representation of the actual instance"""
if self.actual_instance is None:
return "null"
if hasattr(self.actual_instance, "to_json") and callable(self.actual_instance.to_json):
return self.actual_instance.to_json()
else:
return json.dumps(self.actual_instance)
def to_dict(self) -> Optional[Union[Dict[str, Any], TagGroupAndOutput, TagGroupLeaf, TagGroupNotOutput, TagGroupOrOutput]]:
"""Returns the dict representation of the actual instance"""
if self.actual_instance is None:
return None
if hasattr(self.actual_instance, "to_dict") and callable(self.actual_instance.to_dict):
return self.actual_instance.to_dict()
else:
return self.actual_instance
def to_str(self) -> str:
"""Returns the string representation of the actual instance"""
return pprint.pformat(self.model_dump())
from hindsight_client_api.models.tag_group_and_output import TagGroupAndOutput
from hindsight_client_api.models.tag_group_not_output import TagGroupNotOutput
from hindsight_client_api.models.tag_group_or_output import TagGroupOrOutput
# TODO: Rewrite to not use raise_errors
Not1.model_rebuild(raise_errors=False)