chore: import upstream snapshot with attribution
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# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
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#
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# SPDX-License-Identifier: Apache-2.0
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from dataclasses import fields
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from datetime import datetime
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from typing import Any
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import dateutil.parser
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from haystack.dataclasses import ByteStream, Document
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from haystack.errors import FilterError
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def document_matches_filter(filters: dict[str, Any], document: Document | ByteStream) -> bool:
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"""
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Return whether `filters` match the Document or the ByteStream.
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For a detailed specification of the filters, refer to the
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`DocumentStore.filter_documents()` protocol documentation.
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"""
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if "field" in filters:
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return _comparison_condition(condition=filters, document=document)
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return _logic_condition(condition=filters, document=document)
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def _and(document: Document | ByteStream, conditions: list[dict[str, Any]]) -> bool:
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return all(_comparison_condition(condition=condition, document=document) for condition in conditions)
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def _or(document: Document | ByteStream, conditions: list[dict[str, Any]]) -> bool:
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return any(_comparison_condition(condition=condition, document=document) for condition in conditions)
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def _not(document: Document | ByteStream, conditions: list[dict[str, Any]]) -> bool:
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return not _and(document=document, conditions=conditions)
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LOGICAL_OPERATORS = {"NOT": _not, "OR": _or, "AND": _and}
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def _equal(value: Any, filter_value: Any) -> bool:
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return value == filter_value
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def _not_equal(value: Any, filter_value: Any) -> bool:
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return not _equal(value=value, filter_value=filter_value)
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def _prepare_ordering_comparison(value: Any, filter_value: Any) -> tuple[Any, Any]:
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"""Normalize both values for ordering comparisons, parsing strings as dates."""
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if isinstance(value, str) or isinstance(filter_value, str):
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if not isinstance(value, datetime):
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value = _parse_date(value)
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if not isinstance(filter_value, datetime):
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filter_value = _parse_date(filter_value)
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if isinstance(value, datetime) and isinstance(filter_value, datetime):
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value, filter_value = _ensure_both_dates_naive_or_aware(value, filter_value)
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if isinstance(filter_value, list):
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msg = f"Filter value can't be of type {type(filter_value)} using operators '>', '>=', '<', '<='"
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raise FilterError(msg)
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return value, filter_value
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def _greater_than(value: Any, filter_value: Any) -> bool:
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if value is None or filter_value is None:
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# We can't compare None values reliably using operators '>', '>=', '<', '<='
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return False
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value, filter_value = _prepare_ordering_comparison(value=value, filter_value=filter_value)
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return value > filter_value
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def _parse_date(value: str) -> datetime:
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"""Try parsing the value as an ISO format date, then fall back to dateutil.parser."""
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try:
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return datetime.fromisoformat(value)
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except (ValueError, TypeError):
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try:
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return dateutil.parser.parse(value)
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except (ValueError, TypeError) as exc:
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msg = (
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"Can't compare strings using operators '>', '>=', '<', '<='. "
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"Strings are only comparable if they are ISO formatted dates."
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)
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raise FilterError(msg) from exc
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def _ensure_both_dates_naive_or_aware(date1: datetime, date2: datetime) -> tuple[datetime, datetime]:
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"""Ensure that both dates are either naive or aware."""
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# Both naive
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if date1.tzinfo is None and date2.tzinfo is None:
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return date1, date2
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# Both aware
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if date1.tzinfo is not None and date2.tzinfo is not None:
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return date1, date2
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# One naive, one aware
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if date1.tzinfo is None:
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date1 = date1.replace(tzinfo=date2.tzinfo)
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else:
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date2 = date2.replace(tzinfo=date1.tzinfo)
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return date1, date2
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def _greater_than_equal(value: Any, filter_value: Any) -> bool:
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if value is None or filter_value is None:
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# We can't compare None values reliably using operators '>', '>=', '<', '<='
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return False
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value, filter_value = _prepare_ordering_comparison(value=value, filter_value=filter_value)
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return value >= filter_value
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def _less_than(value: Any, filter_value: Any) -> bool:
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if value is None or filter_value is None:
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# We can't compare None values reliably using operators '>', '>=', '<', '<='
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return False
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value, filter_value = _prepare_ordering_comparison(value=value, filter_value=filter_value)
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return value < filter_value
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def _less_than_equal(value: Any, filter_value: Any) -> bool:
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if value is None or filter_value is None:
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# We can't compare None values reliably using operators '>', '>=', '<', '<='
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return False
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value, filter_value = _prepare_ordering_comparison(value=value, filter_value=filter_value)
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return value <= filter_value
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def _in(value: Any, filter_value: Any) -> bool:
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if not isinstance(filter_value, list):
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msg = (
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f"Filter value must be a `list` when using operator 'in' or 'not in', received type '{type(filter_value)}'"
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)
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raise FilterError(msg)
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return any(_equal(e, value) for e in filter_value)
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def _not_in(value: Any, filter_value: Any) -> bool:
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return not _in(value=value, filter_value=filter_value)
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COMPARISON_OPERATORS = {
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"==": _equal,
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"!=": _not_equal,
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">": _greater_than,
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">=": _greater_than_equal,
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"<": _less_than,
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"<=": _less_than_equal,
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"in": _in,
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"not in": _not_in,
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}
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def _logic_condition(condition: dict[str, Any], document: Document | ByteStream) -> bool:
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if "operator" not in condition:
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msg = f"'operator' key missing in {condition}"
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raise FilterError(msg)
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if "conditions" not in condition:
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msg = f"'conditions' key missing in {condition}"
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raise FilterError(msg)
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operator: str = condition["operator"]
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if operator not in LOGICAL_OPERATORS:
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msg = f"Unknown logical operator '{operator}'. Valid operators are: {sorted(LOGICAL_OPERATORS)}"
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raise FilterError(msg)
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conditions: list[dict[str, Any]] = condition["conditions"]
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return LOGICAL_OPERATORS[operator](document=document, conditions=conditions)
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def _comparison_condition(condition: dict[str, Any], document: Document | ByteStream) -> bool:
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if "field" not in condition:
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# 'field' key is only found in comparison dictionaries.
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# We assume this is a logic dictionary since it's not present.
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return _logic_condition(condition=condition, document=document)
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field: str = condition["field"]
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if "operator" not in condition:
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msg = f"'operator' key missing in {condition}"
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raise FilterError(msg)
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if "value" not in condition:
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msg = f"'value' key missing in {condition}"
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raise FilterError(msg)
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if "." in field:
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# Handles fields formatted like so:
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# 'meta.person.name'
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parts = field.split(".")
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document_value = getattr(document, parts[0])
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for part in parts[1:]:
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if not isinstance(document_value, dict) or part not in document_value:
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# If a field is not found (or an intermediate value is not a dict,
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# e.g. None) we treat it as None
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document_value = None
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break
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document_value = document_value[part]
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elif field not in [f.name for f in fields(document)]:
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# Converted legacy filters don't add the `meta.` prefix, so we assume
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# that all filter fields that are not actual fields in Document are converted
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# filters.
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#
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# We handle this to avoid breaking compatibility with converted legacy filters.
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# This will be removed as soon as we stop supporting legacy filters.
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document_value = document.meta.get(field)
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else:
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document_value = getattr(document, field)
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operator: str = condition["operator"]
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if operator not in COMPARISON_OPERATORS:
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msg = f"Unknown comparison operator '{operator}'. Valid operators are: {sorted(COMPARISON_OPERATORS)}"
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raise FilterError(msg)
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filter_value: Any = condition["value"]
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return COMPARISON_OPERATORS[operator](filter_value=filter_value, value=document_value)
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