mirror of
https://github.com/qdrant/qdrant-client.git
synced 2026-07-26 20:51:09 -05:00
177 lines
6.6 KiB
Python
177 lines
6.6 KiB
Python
from copy import copy
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from typing import Iterable, get_args
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from pydantic import BaseModel
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from qdrant_client._pydantic_compat import model_fields_set
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from qdrant_client.embed.common import INFERENCE_OBJECT_TYPES
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from qdrant_client.embed.schema_parser import ModelSchemaParser
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from qdrant_client.embed.utils import convert_paths, FieldPath
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class InspectorEmbed:
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"""Inspector which collects paths to objects requiring inference in the received models
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Attributes:
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parser: ModelSchemaParser instance
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"""
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def __init__(self, parser: ModelSchemaParser | None = None) -> None:
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self.parser = ModelSchemaParser() if parser is None else parser
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def inspect(self, points: Iterable[BaseModel] | BaseModel) -> list[FieldPath]:
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"""Looks for all the paths to objects requiring inference in the received models
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Args:
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points: models to inspect
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Returns:
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list of FieldPath objects
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"""
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paths = []
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if isinstance(points, BaseModel):
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self.parser.parse_model(points.__class__)
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paths.extend(self._inspect_model(points))
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elif isinstance(points, dict):
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for value in points.values():
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paths.extend(self.inspect(value))
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elif isinstance(points, Iterable):
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for point in points:
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if isinstance(point, BaseModel):
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self.parser.parse_model(point.__class__)
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paths.extend(self._inspect_model(point))
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paths = sorted(set(paths))
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return convert_paths(paths)
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def _inspect_model(
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self, mod: BaseModel, paths: list[FieldPath] | None = None, accum: str | None = None
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) -> list[str]:
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"""Looks for all the paths to objects requiring inference in the received model
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Args:
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mod: model to inspect
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paths: list of paths to the fields possibly containing objects for inference
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accum: accumulator for the path. Path is a dot separated string of field names which we assemble recursively
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Returns:
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list of paths to the model fields containing objects for inference
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"""
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paths = self.parser.path_cache.get(mod.__class__.__name__, []) if paths is None else paths
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found_paths = []
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for path in paths:
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found_paths.extend(
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self._inspect_inner_models(
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mod, path.current, path.tail if path.tail else [], accum
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)
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)
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return found_paths
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def _inspect_inner_models(
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self,
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original_model: BaseModel,
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current_path: str,
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tail: list[FieldPath],
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accum: str | None = None,
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) -> list[str]:
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"""Looks for all the paths to objects requiring inference in the received model
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Args:
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original_model: model to inspect
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current_path: the field to inspect on the current iteration
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tail: list of FieldPath objects to the fields possibly containing objects for inference
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accum: accumulator for the path. Path is a dot separated string of field names which we assemble recursively
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Returns:
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list of paths to the model fields containing objects for inference
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"""
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found_paths = []
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if accum is None:
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accum = current_path
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else:
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accum += f".{current_path}"
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def inspect_recursive(member: BaseModel, accumulator: str) -> list[str]:
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"""Iterates over the set model fields, expand recursive ones and find paths to objects requiring inference
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Args:
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member: currently inspected model, which may or may not contain recursive fields
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accumulator: accumulator for the path, which is a dot separated string assembled recursively
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"""
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recursive_paths = []
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for field in model_fields_set(member):
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if field in self.parser.name_recursive_ref_mapping:
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mapped_field = self.parser.name_recursive_ref_mapping[field]
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recursive_paths.extend(self.parser.path_cache[mapped_field])
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return self._inspect_model(member, copy(recursive_paths), accumulator)
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model = getattr(original_model, current_path, None)
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if model is None:
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return []
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if isinstance(model, get_args(INFERENCE_OBJECT_TYPES)):
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return [accum]
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if isinstance(model, BaseModel):
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found_paths.extend(inspect_recursive(model, accum))
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for next_path in tail:
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found_paths.extend(
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self._inspect_inner_models(
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model, next_path.current, next_path.tail if next_path.tail else [], accum
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)
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)
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return found_paths
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elif isinstance(model, list):
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for current_model in model:
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if not isinstance(current_model, BaseModel):
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continue
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if isinstance(current_model, get_args(INFERENCE_OBJECT_TYPES)):
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found_paths.append(accum)
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found_paths.extend(inspect_recursive(current_model, accum))
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for next_path in tail:
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for current_model in model:
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found_paths.extend(
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self._inspect_inner_models(
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current_model,
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next_path.current,
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next_path.tail if next_path.tail else [],
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accum,
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)
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)
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return found_paths
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elif isinstance(model, dict):
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found_paths = []
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for key, values in model.items():
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values = [values] if not isinstance(values, list) else values
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for current_model in values:
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if not isinstance(current_model, BaseModel):
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continue
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if isinstance(current_model, get_args(INFERENCE_OBJECT_TYPES)):
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found_paths.append(accum)
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found_paths.extend(inspect_recursive(current_model, accum))
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for next_path in tail:
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for current_model in values:
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found_paths.extend(
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self._inspect_inner_models(
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current_model,
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next_path.current,
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next_path.tail if next_path.tail else [],
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accum,
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)
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)
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return found_paths
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