mirror of
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fix(tests): fix broken tests and linter issues
This commit is contained in:
@ -1,9 +1,10 @@
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import dataclasses
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import json
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from collections.abc import Mapping
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from typing import Any, TypeAlias
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from enum import StrEnum
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from typing import Any, Generic, TypeAlias, TypedDict, TypeVar, overload
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from configs import dify_config
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from core.file.models import File
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from core.variables.segments import (
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ArrayFileSegment,
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ArraySegment,
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@ -16,12 +17,60 @@ from core.variables.segments import (
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Segment,
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StringSegment,
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)
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from core.variables.utils import dumps_with_segments
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LARGE_VARIABLE_THRESHOLD = 10 * 1024 # 100KB in bytes
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OBJECT_CHAR_LIMIT = 5000
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ARRAY_CHAR_LIMIT = 1000
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_MAX_DEPTH = 100
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_MAX_DEPTH = 20
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class _QAKeys:
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"""dict keys for _QAStructure"""
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QA_CHUNKS = "qa_chunks"
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QUESTION = "question"
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ANSWER = "answer"
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class _PCKeys:
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"""dict keys for _ParentChildStructure"""
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PARENT_MODE = "parent_mode"
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PARENT_CHILD_CHUNKS = "parent_child_chunks"
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PARENT_CONTENT = "parent_content"
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CHILD_CONTENTS = "child_contents"
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class _QAStructureItem(TypedDict):
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question: str
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answer: str
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class _QAStructure(TypedDict):
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qa_chunks: list[_QAStructureItem]
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class _ParentChildChunkItem(TypedDict):
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parent_content: str
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child_contents: list[str]
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class _ParentChildStructure(TypedDict):
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parent_mode: str
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parent_child_chunks: list[_ParentChildChunkItem]
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class _SpecialChunkType(StrEnum):
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parent_child = "parent_child"
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qa = "qa"
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_T = TypeVar("_T")
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@dataclasses.dataclass(frozen=True)
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class _PartResult(Generic[_T]):
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value: _T
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value_size: int
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truncated: bool
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class MaxDepthExceededError(Exception):
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@ -51,13 +100,11 @@ class VariableTruncator:
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Uses recursive size calculation to avoid repeated JSON serialization.
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"""
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_JSON_SEPARATORS = (",", ":")
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def __init__(
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self,
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string_length_limit=5000,
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array_element_limit: int = 20,
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max_size_bytes: int = LARGE_VARIABLE_THRESHOLD,
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max_size_bytes: int = 1024_000, # 100KB
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):
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if string_length_limit <= 3:
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raise ValueError("string_length_limit should be greater than 3.")
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@ -86,25 +133,24 @@ class VariableTruncator:
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of a WorkflowNodeExecution record. This ensures the mappings remain within the
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specified size limits while preserving their structure.
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"""
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size = self.calculate_json_size(v)
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if size < self._max_size_bytes:
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return v, False
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budget = self._max_size_bytes
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is_truncated = False
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truncated_mapping: dict[str, Any] = {}
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size = len(v.items())
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remaining = size
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length = len(v.items())
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used_size = 0
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for key, value in v.items():
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budget -= self.calculate_json_size(key)
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if budget < 0:
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break
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truncated_value, value_truncated = self._truncate_value_to_budget(value, budget // remaining)
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if value_truncated:
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is_truncated = True
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truncated_mapping[key] = truncated_value
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# TODO(QuantumGhost): This approach is inefficient. Ideally, the truncation function should directly
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# report the size of the truncated value.
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budget -= self.calculate_json_size(truncated_value) + 2 # ":" and ","
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used_size += self.calculate_json_size(key)
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if used_size > budget:
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truncated_mapping[key] = "..."
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continue
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value_budget = (budget - used_size) // (length - len(truncated_mapping))
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if isinstance(value, Segment):
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part_result = self._truncate_segment(value, value_budget)
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else:
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part_result = self._truncate_json_primitives(value, value_budget)
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is_truncated = is_truncated or part_result.truncated
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truncated_mapping[key] = part_result.value
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used_size += part_result.value_size
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return truncated_mapping, is_truncated
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@staticmethod
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@ -125,6 +171,27 @@ class VariableTruncator:
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return True
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def truncate(self, segment: Segment) -> TruncationResult:
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if isinstance(segment, StringSegment):
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result = self._truncate_segment(segment, self._string_length_limit)
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else:
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result = self._truncate_segment(segment, self._max_size_bytes)
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if result.value_size > self._max_size_bytes:
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if isinstance(result.value, str):
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result = self._truncate_string(result.value, self._max_size_bytes)
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return TruncationResult(StringSegment(value=result.value), True)
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# Apply final fallback - convert to JSON string and truncate
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json_str = dumps_with_segments(result.value, ensure_ascii=False)
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if len(json_str) > self._max_size_bytes:
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json_str = json_str[: self._max_size_bytes] + "..."
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return TruncationResult(result=StringSegment(value=json_str), truncated=True)
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return TruncationResult(
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result=segment.model_copy(update={"value": result.value.value}), truncated=result.truncated
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)
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def _truncate_segment(self, segment: Segment, target_size: int) -> _PartResult[Segment]:
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"""
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Apply smart truncation to a variable value.
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@ -136,43 +203,38 @@ class VariableTruncator:
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"""
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if not VariableTruncator._segment_need_truncation(segment):
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return TruncationResult(result=segment, truncated=False)
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return _PartResult(segment, self.calculate_json_size(segment.value), False)
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result: _PartResult[Any]
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# Apply type-specific truncation with target size
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if isinstance(segment, ArraySegment):
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truncated_value, was_truncated = self._truncate_array(segment.value, self._max_size_bytes)
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result = self._truncate_array(segment.value, target_size)
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elif isinstance(segment, StringSegment):
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truncated_value, was_truncated = self._truncate_string(segment.value)
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result = self._truncate_string(segment.value, target_size)
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elif isinstance(segment, ObjectSegment):
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truncated_value, was_truncated = self._truncate_object(segment.value, self._max_size_bytes)
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result = self._truncate_object(segment.value, target_size)
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else:
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raise AssertionError("this should be unreachable.")
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# Check if we still exceed the final character limit after type-specific truncation
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if not was_truncated:
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return TruncationResult(result=segment, truncated=False)
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truncated_size = self.calculate_json_size(truncated_value)
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if truncated_size > self._max_size_bytes:
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if isinstance(truncated_value, str):
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return TruncationResult(StringSegment(value=truncated_value[: self._max_size_bytes - 3]), True)
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# Apply final fallback - convert to JSON string and truncate
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json_str = json.dumps(truncated_value, ensure_ascii=False, separators=self._JSON_SEPARATORS)
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if len(json_str) > self._max_size_bytes:
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json_str = json_str[: self._max_size_bytes] + "..."
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return TruncationResult(result=StringSegment(value=json_str), truncated=True)
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return TruncationResult(result=segment.model_copy(update={"value": truncated_value}), truncated=True)
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return _PartResult(
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value=segment.model_copy(update={"value": result.value}),
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value_size=result.value_size,
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truncated=result.truncated,
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)
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@staticmethod
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def calculate_json_size(value: Any, depth=0) -> int:
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"""Recursively calculate JSON size without serialization."""
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if isinstance(value, Segment):
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return VariableTruncator.calculate_json_size(value.value)
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if depth > _MAX_DEPTH:
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raise MaxDepthExceededError()
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if isinstance(value, str):
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# For strings, we need to account for escaping and quotes
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# Rough estimate: each character might need escaping, plus 2 for quotes
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return len(value.encode("utf-8")) + 2
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# Ideally, the size of strings should be calculated based on their utf-8 encoded length.
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# However, this adds complexity as we would need to compute encoded sizes consistently
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# throughout the code. Therefore, we approximate the size using the string's length.
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# Rough estimate: number of characters, plus 2 for quotes
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return len(value) + 2
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elif isinstance(value, (int, float)):
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return len(str(value))
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elif isinstance(value, bool):
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@ -197,60 +259,73 @@ class VariableTruncator:
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total += 1 # ":"
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total += VariableTruncator.calculate_json_size(value[key], depth=depth + 1)
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return total
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elif isinstance(value, File):
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return VariableTruncator.calculate_json_size(value.model_dump(), depth=depth + 1)
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else:
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raise UnknownTypeError(f"got unknown type {type(value)}")
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def _truncate_string(self, value: str) -> tuple[str, bool]:
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"""Truncate string values."""
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if len(value) <= self._string_length_limit:
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return value, False
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return value[: self._string_length_limit - 3] + "...", True
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def _truncate_string(self, value: str, target_size: int) -> _PartResult[str]:
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if (size := self.calculate_json_size(value)) < target_size:
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return _PartResult(value, size, False)
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if target_size < 5:
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return _PartResult("...", 5, True)
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truncated_size = min(self._string_length_limit, target_size - 5)
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truncated_value = value[:truncated_size] + "..."
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return _PartResult(truncated_value, self.calculate_json_size(truncated_value), True)
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def _truncate_array(self, value: list, target_size: int) -> tuple[list, bool]:
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def _truncate_array(self, value: list, target_size: int) -> _PartResult[list]:
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"""
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Truncate array with correct strategy:
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1. First limit to 20 items
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2. If still too large, truncate individual items
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"""
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# Step 1: Limit to first 20 items
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limited_items = value[: self._array_element_limit]
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was_truncated = len(limited_items) < len(value)
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truncated_value: list[Any] = []
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truncated = False
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used_size = self.calculate_json_size([])
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# Step 2: Check if we still exceed the target size
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current_size = self.calculate_json_size(limited_items)
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if current_size <= target_size:
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return limited_items, was_truncated
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target_length = self._array_element_limit
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# Step 3: Truncate individual items to fit within target size
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truncated_items = []
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remaining_size = target_size - 2 # Account for []
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for i, item in enumerate(limited_items):
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for i, item in enumerate(value):
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if i >= target_length:
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return _PartResult(truncated_value, used_size, True)
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if i > 0:
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remaining_size -= 1 # Account for comma
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used_size += 1 # Account for comma
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if remaining_size <= 0:
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if used_size > target_size:
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break
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# Calculate how much space this item can use
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remaining_items = len(limited_items) - i
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item_budget = remaining_size // remaining_items
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part_result = self._truncate_json_primitives(item, target_size - used_size)
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truncated_value.append(part_result.value)
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used_size += part_result.value_size
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truncated = part_result.truncated
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return _PartResult(truncated_value, used_size, truncated)
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# Truncate the item to fit within budget
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truncated_item, item_truncated = self._truncate_item_to_budget(item, item_budget)
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truncated_items.append(truncated_item)
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@classmethod
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def _maybe_qa_structure(cls, m: Mapping[str, Any]) -> bool:
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qa_chunks = m.get(_QAKeys.QA_CHUNKS)
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if qa_chunks is None:
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return False
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if not isinstance(qa_chunks, list):
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return False
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return True
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# Update remaining size
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item_size = self.calculate_json_size(truncated_item)
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remaining_size -= item_size
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@classmethod
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def _maybe_parent_child_structure(cls, m: Mapping[str, Any]) -> bool:
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parent_mode = m.get(_PCKeys.PARENT_MODE)
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if parent_mode is None:
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return False
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if not isinstance(parent_mode, str):
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return False
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parent_child_chunks = m.get(_PCKeys.PARENT_CHILD_CHUNKS)
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if parent_child_chunks is None:
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return False
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if not isinstance(parent_child_chunks, list):
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return False
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if item_truncated:
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was_truncated = True
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return True
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return truncated_items, True
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def _truncate_object(self, value: Mapping[str, Any], target_size: int) -> tuple[Mapping[str, Any], bool]:
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def _truncate_object(self, mapping: Mapping[str, Any], target_size: int) -> _PartResult[Mapping[str, Any]]:
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"""
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Truncate object with key preservation priority.
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@ -258,91 +333,87 @@ class VariableTruncator:
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1. Keep all keys, truncate values to fit within budget
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2. If still too large, drop keys starting from the end
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"""
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if not value:
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return value, False
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if not mapping:
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return _PartResult(mapping, self.calculate_json_size(mapping), False)
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truncated_obj = {}
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was_truncated = False
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remaining_size = target_size - 2 # Account for {}
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truncated = False
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used_size = self.calculate_json_size({})
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# Sort keys to ensure deterministic behavior
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sorted_keys = sorted(value.keys())
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sorted_keys = sorted(mapping.keys())
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for i, key in enumerate(sorted_keys):
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val = value[key]
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if i > 0:
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remaining_size -= 1 # Account for comma
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if remaining_size <= 0:
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if used_size > target_size:
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# No more room for additional key-value pairs
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was_truncated = True
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truncated = True
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break
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pair_size = 0
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if i > 0:
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pair_size += 1 # Account for comma
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# Calculate budget for this key-value pair
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key_size = self.calculate_json_size(str(key)) + 1 # +1 for ":"
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# do not try to truncate keys, as we want to keep the structure of
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# object.
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key_size = self.calculate_json_size(key) + 1 # +1 for ":"
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pair_size += key_size
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remaining_pairs = len(sorted_keys) - i
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value_budget = max(0, (remaining_size - key_size) // remaining_pairs)
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value_budget = max(0, (target_size - pair_size - used_size) // remaining_pairs)
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if value_budget <= 0:
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was_truncated = True
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truncated = True
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break
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# Truncate the value to fit within budget
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truncated_val, val_truncated = self._truncate_value_to_budget(val, value_budget)
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truncated_obj[key] = truncated_val
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if val_truncated:
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was_truncated = True
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# Update remaining size
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pair_size = key_size + self.calculate_json_size(truncated_val)
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remaining_size -= pair_size
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return truncated_obj, was_truncated or len(truncated_obj) < len(value)
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def _truncate_item_to_budget(self, item: Any, budget: int) -> tuple[Any, bool]:
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"""Truncate an array item to fit within a size budget."""
|
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if isinstance(item, str):
|
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# For strings, truncate to fit within budget (accounting for quotes)
|
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max_chars = max(0, budget - 5) # -5 for quotes and potential "..."
|
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max_chars = min(max_chars, ARRAY_CHAR_LIMIT)
|
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if len(item) <= max_chars:
|
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return item, False
|
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return item[:max_chars] + "...", True
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elif isinstance(item, dict):
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# For objects, recursively truncate
|
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return self._truncate_object(item, budget)
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elif isinstance(item, list):
|
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# For nested arrays, recursively truncate
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return self._truncate_array(item, budget)
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else:
|
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# For other types, check if they fit
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item_size = self.calculate_json_size(item)
|
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if item_size <= budget:
|
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return item, False
|
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value = mapping[key]
|
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if isinstance(value, Segment):
|
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value_result = self._truncate_segment(value, value_budget)
|
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else:
|
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# Convert to string and truncate
|
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str_item = str(item)
|
||||
return self._truncate_item_to_budget(str_item, budget)
|
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value_result = self._truncate_json_primitives(mapping[key], value_budget)
|
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|
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def _truncate_value_to_budget(self, val: Any, budget: int) -> tuple[Any, bool]:
|
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truncated_obj[key] = value_result.value
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pair_size += value_result.value_size
|
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used_size += pair_size
|
||||
|
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if value_result.truncated:
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truncated = True
|
||||
|
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return _PartResult(truncated_obj, used_size, truncated)
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|
||||
@overload
|
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def _truncate_json_primitives(self, val: str, target_size: int) -> _PartResult[str]: ...
|
||||
|
||||
@overload
|
||||
def _truncate_json_primitives(self, val: list, target_size: int) -> _PartResult[list]: ...
|
||||
|
||||
@overload
|
||||
def _truncate_json_primitives(self, val: dict, target_size: int) -> _PartResult[dict]: ...
|
||||
|
||||
@overload
|
||||
def _truncate_json_primitives(self, val: bool, target_size: int) -> _PartResult[bool]: ...
|
||||
|
||||
@overload
|
||||
def _truncate_json_primitives(self, val: int, target_size: int) -> _PartResult[int]: ...
|
||||
|
||||
@overload
|
||||
def _truncate_json_primitives(self, val: float, target_size: int) -> _PartResult[float]: ...
|
||||
|
||||
@overload
|
||||
def _truncate_json_primitives(self, val: None, target_size: int) -> _PartResult[None]: ...
|
||||
|
||||
def _truncate_json_primitives(
|
||||
self, val: str | list | dict | bool | int | float | None, target_size: int
|
||||
) -> _PartResult[Any]:
|
||||
"""Truncate a value within an object to fit within budget."""
|
||||
if isinstance(val, str):
|
||||
# For strings, respect OBJECT_CHAR_LIMIT but also budget
|
||||
max_chars = min(OBJECT_CHAR_LIMIT, max(0, budget - 5)) # -5 for quotes and "..."
|
||||
if len(val) <= max_chars:
|
||||
return val, False
|
||||
return val[:max_chars] + "...", True
|
||||
return self._truncate_string(val, target_size)
|
||||
elif isinstance(val, list):
|
||||
return self._truncate_array(val, budget)
|
||||
return self._truncate_array(val, target_size)
|
||||
elif isinstance(val, dict):
|
||||
return self._truncate_object(val, budget)
|
||||
return self._truncate_object(val, target_size)
|
||||
elif val is None or isinstance(val, (bool, int, float)):
|
||||
return _PartResult(val, self.calculate_json_size(val), False)
|
||||
else:
|
||||
# For other types, check if they fit
|
||||
val_size = self.calculate_json_size(val)
|
||||
if val_size <= budget:
|
||||
return val, False
|
||||
else:
|
||||
# Convert to string and truncate
|
||||
return self._truncate_value_to_budget(str(val), budget)
|
||||
raise AssertionError("this statement should be unreachable.")
|
||||
|
||||
Reference in New Issue
Block a user