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A dataclass that encapsulates the results of an annotation detection process on PDF documents, containing detected annotations, processing statistics, and a summary.

Purpose

This dataclass serves as a structured container for the output of annotation detection operations. It aggregates all detected annotations (as AnnotationInfo objects), tracks the number of annotations found and pages processed, and provides a human-readable summary of the detection results. It's designed to be returned by annotation detection functions to provide comprehensive information about the detection process outcome.

Source Code

class AnnotationResult:
    """Result of annotation detection process"""
    annotations: List[AnnotationInfo]
    total_annotations: int
    pages_processed: int
    detection_summary: str

Parameters

Parameter Details

annotations: A list of AnnotationInfo objects representing all annotations detected during the processing. Each AnnotationInfo contains details about a single annotation found in the document.

total_annotations: An integer count of the total number of annotations detected across all processed pages. This provides a quick summary metric without needing to count the annotations list.

pages_processed: An integer indicating how many pages were analyzed during the annotation detection process. Useful for understanding the scope of the detection operation.

detection_summary: A string providing a human-readable summary of the detection results. Typically includes information about what was found, any issues encountered, or overall statistics in text form.

Return Value

When instantiated, returns an AnnotationResult object containing all the annotation detection results. This object is immutable by default (as a dataclass) and provides attribute access to all four fields: annotations (list), total_annotations (int), pages_processed (int), and detection_summary (str).

Class Interface

Methods

Attributes

Dependencies

• typing
• dataclasses

Required Imports

from typing import List
from dataclasses import dataclass

Usage Example

from dataclasses import dataclass
from typing import List

# Assuming AnnotationInfo is defined elsewhere
# Create an AnnotationResult instance
result = AnnotationResult(
    annotations=[annotation1, annotation2, annotation3],
    total_annotations=3,
    pages_processed=10,
    detection_summary="Successfully detected 3 annotations across 10 pages"
)

# Access the results
print(f"Found {result.total_annotations} annotations")
print(f"Processed {result.pages_processed} pages")
print(result.detection_summary)

# Iterate through annotations
for annotation in result.annotations:
    # Process each annotation
    pass

Best Practices

• This is a dataclass, so it automatically generates __init__, __repr__, __eq__, and other methods. No need to manually implement these.
• The class is immutable by default unless frozen=True is explicitly set in the @dataclass decorator. Consider adding frozen=True if immutability is desired.
• Always ensure that the total_annotations count matches the length of the annotations list for consistency.
• The detection_summary should provide meaningful information about the detection process, including any warnings or errors encountered.
• When creating instances, ensure all four fields are provided as they are required (no default values are specified).
• This class is designed as a return type for annotation detection functions, not for direct manipulation of annotation data.
• The annotations list should contain only AnnotationInfo objects to maintain type consistency.
• Consider validating that pages_processed is a positive integer and total_annotations is non-negative when creating instances.

Tags

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