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