test_stop_parse_documents.py

Overview

This file contains test utilities and a placeholder test class intended to validate the behavior of document parsing processes within a dataset, specifically focusing on scenarios where parsing is either completed successfully or canceled. It is part of the InfiniFlow project and uses the pytest framework for structuring tests.

The primary purpose of this file is to provide helper validation functions that assert the correctness of document parsing states in the dataset, ensuring that documents have appropriate status flags and timing/progress indicators after parsing operations are either completed or stopped.

Detailed Explanation

Functions

validate_document_parse_done(dataset, document_ids)

Validates that the documents identified by document_ids within the given dataset have completed parsing successfully.

• Parameters:

  • dataset (object): An object representing the dataset that contains documents. It is expected to have a method list_documents(page_size) that returns a list of document objects.

  • document_ids (list of str): A list of document IDs that should be checked for completion.

• Behavior:

  • Retrieves up to 1000 documents from the dataset.

  • Iterates through these documents and, for each document whose ID is in document_ids, asserts the following:

    • document.run is "DONE", indicating the parsing run has completed.

    • document.process_begin_at is a non-empty value, indicating the process start time is recorded.

    • document.process_duration is greater than zero, indicating the process took some time to complete.

    • document.progress is greater than zero, indicating some progress has been made.

    • The string "Task done" is included in document.progress_msg, indicating a successful completion message.

• Return Value:

  • None. The function raises assertion errors if any validation fails.

• Usage Example:

  validate_document_parse_done(my_dataset, ["doc123", "doc456"])
  

validate_document_parse_cancel(dataset, document_ids)

Validates that the parsing of documents identified by document_ids within the given dataset was canceled.

• Parameters:

  • dataset (object): Dataset object with documents accessible via list_documents.

  • document_ids (list of str): List of document IDs expected to be canceled.

• Behavior:

  • Retrieves up to 1000 documents from the dataset.

  • For each document, asserts:

    • document.run is "CANCEL", indicating the parsing run was canceled.

    • document.process_begin_at is non-empty, confirming the process was initiated.

    • document.progress is exactly 0.0, indicating no progress was made after cancellation.

• Return Value:

  • None. Assertion exceptions are raised if conditions fail.

• Usage Example:

  validate_document_parse_cancel(my_dataset, ["doc789"])
  

Classes

TestDocumentsParseStop

• A placeholder test class decorated with @pytest.mark.skip, meaning that tests within this class are skipped during test runs.

• Currently, the class contains no methods or properties.

• Intended as a future container for tests related to stopping document parsing.

• Usage Context:

  • This class can be expanded to include test methods for scenarios where document parsing is interrupted or stopped.

  • The @pytest.mark.skip decorator prevents the test runner from executing this class until tests are implemented.

Important Implementation Details

• The validation functions operate by fetching documents from a dataset with a limit of 1000 documents per call. This implies the dataset is expected to be small or pagination is handled externally.

• Assertions rely on document properties including run, process_begin_at, process_duration, progress, and progress_msg.

• The file imports pytest but does not define any active tests besides the empty skipped test class.

• The test class is a stub, suggesting ongoing development or placeholder for future test implementations.

Interaction with Other Parts of the System

• This file depends on the existence of a dataset object with a method list_documents(page_size) that returns document objects each having specific attributes (id, run, process_begin_at, process_duration, progress, and progress_msg).

• It is likely used alongside other test files that create datasets, initiate document parsing, and then verify state transitions, using these validation helpers for assertions.

• The file integrates with the pytest testing framework, which manages test discovery and execution.

• The placeholder test class indicates future integration with actual stop/cancel parse scenarios, possibly interacting with document parsing jobs or services elsewhere in the InfiniFlow codebase.

Mermaid Diagram

classDiagram
    class TestDocumentsParseStop {
        <<pytest test class>>
    }
    class validate_document_parse_done {
        +dataset
        +document_ids
        +assert document.run == "DONE"
        +assert document.process_begin_at not empty
        +assert document.process_duration > 0
        +assert document.progress > 0
        +assert "Task done" in document.progress_msg
    }
    class validate_document_parse_cancel {
        +dataset
        +document_ids
        +assert document.run == "CANCEL"
        +assert document.process_begin_at not empty
        +assert document.progress == 0.0
    }

Summary

• The file provides utility validation functions to check if document parsing was completed or canceled correctly.

• It includes a skipped placeholder test class for future development.

• The validations expect a dataset interface with access to document metadata.

• This file supports ensuring document parsing lifecycle correctness within the InfiniFlow application’s testing framework.