from __future__ import annotations from collections.abc import Mapping from typing import TYPE_CHECKING, Any, TypeVar from attrs import define as _attrs_define from attrs import field as _attrs_field if TYPE_CHECKING: from ..models.graph_data_response_edges_item import GraphDataResponseEdgesItem from ..models.graph_data_response_nodes_item import GraphDataResponseNodesItem from ..models.graph_data_response_table_rows_item import GraphDataResponseTableRowsItem T = TypeVar("T", bound="GraphDataResponse") @_attrs_define class GraphDataResponse: """Response model for graph data endpoint. Example: {'edges': [{'from': '1', 'to': '2', 'type': 'semantic', 'weight': 0.8}], 'nodes': [{'id': '1', 'label': 'Alice works at Google', 'type': 'world'}, {'id': '2', 'label': 'Bob went hiking', 'type': 'world'}], 'table_rows': [{'context': 'Work info', 'date': '2024-01-15 10:30', 'entities': 'Alice (PERSON), Google (ORGANIZATION)', 'id': 'abc12345...', 'text': 'Alice works at Google'}], 'total_units': 2} Attributes: nodes (list[GraphDataResponseNodesItem]): edges (list[GraphDataResponseEdgesItem]): table_rows (list[GraphDataResponseTableRowsItem]): total_units (int): """ nodes: list[GraphDataResponseNodesItem] edges: list[GraphDataResponseEdgesItem] table_rows: list[GraphDataResponseTableRowsItem] total_units: int additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict) def to_dict(self) -> dict[str, Any]: nodes = [] for nodes_item_data in self.nodes: nodes_item = nodes_item_data.to_dict() nodes.append(nodes_item) edges = [] for edges_item_data in self.edges: edges_item = edges_item_data.to_dict() edges.append(edges_item) table_rows = [] for table_rows_item_data in self.table_rows: table_rows_item = table_rows_item_data.to_dict() table_rows.append(table_rows_item) total_units = self.total_units field_dict: dict[str, Any] = {} field_dict.update(self.additional_properties) field_dict.update( { "nodes": nodes, "edges": edges, "table_rows": table_rows, "total_units": total_units, } ) return field_dict @classmethod def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T: from ..models.graph_data_response_edges_item import GraphDataResponseEdgesItem from ..models.graph_data_response_nodes_item import GraphDataResponseNodesItem from ..models.graph_data_response_table_rows_item import GraphDataResponseTableRowsItem d = dict(src_dict) nodes = [] _nodes = d.pop("nodes") for nodes_item_data in _nodes: nodes_item = GraphDataResponseNodesItem.from_dict(nodes_item_data) nodes.append(nodes_item) edges = [] _edges = d.pop("edges") for edges_item_data in _edges: edges_item = GraphDataResponseEdgesItem.from_dict(edges_item_data) edges.append(edges_item) table_rows = [] _table_rows = d.pop("table_rows") for table_rows_item_data in _table_rows: table_rows_item = GraphDataResponseTableRowsItem.from_dict(table_rows_item_data) table_rows.append(table_rows_item) total_units = d.pop("total_units") graph_data_response = cls( nodes=nodes, edges=edges, table_rows=table_rows, total_units=total_units, ) graph_data_response.additional_properties = d return graph_data_response @property def additional_keys(self) -> list[str]: return list(self.additional_properties.keys()) def __getitem__(self, key: str) -> Any: return self.additional_properties[key] def __setitem__(self, key: str, value: Any) -> None: self.additional_properties[key] = value def __delitem__(self, key: str) -> None: del self.additional_properties[key] def __contains__(self, key: str) -> bool: return key in self.additional_properties