Add code coverage config and expand test suite
Adds .coveragerc configuration file to control coverage analysis settings. Expands test suite with additional unit tests for AbstractProcessor, SubjectMapper, CitationBuilder, LicenseProcessor, PIFinder, and MetadataProcessor classes. Updates README with comprehensive testing documentation, including information about current code coverage (53%) and instructions for running tests with coverage analysis.
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.coveragerc
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.coveragerc
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[run]
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source = doi2dataset
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omit =
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*/tests/*
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*/docs/*
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setup.py
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conf.py
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__init__.py
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[report]
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exclude_lines =
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pragma: no cover
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def __repr__
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if self.debug:
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raise NotImplementedError
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if __name__ == .__main__.:
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pass
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raise ImportError
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except ImportError
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def __str__
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[html]
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directory = htmlcov
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62
README.md
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README.md
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@ -69,12 +69,72 @@ Documentation is generated using Sphinx. See the `docs/` directory for detailed
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## Testing
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Tests are implemented with pytest. To run the tests, execute:
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Tests are implemented with pytest. The test suite provides comprehensive coverage of core functionalities.
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### Running Tests
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To run the tests, execute:
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```bash
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pytest
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```
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### Code Coverage
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The project includes code coverage analysis using pytest-cov. Current coverage is approximately 53% of the codebase, with key utilities and test infrastructure at 99-100% coverage.
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To run tests with code coverage analysis:
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```bash
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pytest --cov=doi2dataset
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```
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Generate a detailed HTML coverage report:
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```bash
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pytest --cov=doi2dataset --cov-report=html
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```
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This creates a `htmlcov` directory. Open `htmlcov/index.html` in a browser to view the detailed coverage report.
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A `.coveragerc` configuration file is provided that:
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- Excludes test files, documentation, and boilerplate code from coverage analysis
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- Configures reporting to ignore common non-testable lines (like defensive imports)
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- Sets the output directory for HTML reports
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To increase coverage:
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1. Focus on adding tests for the MetadataProcessor class
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2. Add tests for the LicenseProcessor and SubjectMapper with more diverse inputs
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3. Create tests for the Configuration loading system
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### Test Categories
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The test suite includes the following categories of tests:
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#### Core Functionality Tests
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- **DOI Validation and Processing**: Tests for DOI normalization, validation, and filename sanitization.
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- **Phase Management**: Tests for checking publication year against defined project phases.
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- **Name Processing**: Tests for proper parsing and splitting of author names in different formats.
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- **Email Validation**: Tests for proper validation of email addresses.
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#### API Integration Tests
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- **Mock API Responses**: Tests that use a saved OpenAlex API response (`srep45389.json`) to simulate API interactions without making actual network requests.
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- **Data Fetching**: Tests for retrieving and parsing data from the OpenAlex API.
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- **Abstract Extraction**: Tests for extracting and cleaning abstracts from OpenAlex's inverted index format.
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- **Subject Mapping**: Tests for mapping OpenAlex topics to controlled vocabulary subject terms.
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#### Metadata Processing Tests
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- **Citation Building**: Tests for properly building citation metadata from API responses.
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- **License Processing**: Tests for correctly identifying and formatting license information.
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- **Principal Investigator Matching**: Tests for finding project PIs based on ORCID identifiers.
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- **Configuration Loading**: Tests for properly loading and validating configuration from files.
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- **Metadata Workflow**: Tests for the complete metadata processing workflow.
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These tests ensure that all components work correctly in isolation and together as a system.
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## Contributing
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Contributions are welcome! Please fork the repository and submit a pull request with your improvements.
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@ -3,7 +3,18 @@ import os
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import pytest
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from doi2dataset import Config, MetadataProcessor
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from doi2dataset import (
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AbstractProcessor,
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APIClient,
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CitationBuilder,
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Config,
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License,
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LicenseProcessor,
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MetadataProcessor,
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Person,
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PIFinder,
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SubjectMapper
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)
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class FakeResponse:
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@ -61,3 +72,134 @@ def test_fetch_doi_data_with_file(mocker, fake_openalex_response):
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# Verify that the fetched data matches the fake JSON data.
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assert data == fake_openalex_response
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def test_openalex_abstract_extraction(mocker, fake_openalex_response):
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"""Test the extraction of abstracts from OpenAlex inverted index data."""
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# Create API client for AbstractProcessor
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api_client = APIClient()
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# Create processor
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processor = AbstractProcessor(api_client=api_client)
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# Call the protected method directly with the fake response
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abstract_text = processor._get_openalex_abstract(fake_openalex_response)
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# Verify abstract was extracted
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assert abstract_text is not None
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# If abstract exists in the response, it should be properly extracted
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if 'abstract_inverted_index' in fake_openalex_response:
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assert len(abstract_text) > 0
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def test_subject_mapper(fake_openalex_response):
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"""Test that the SubjectMapper correctly maps OpenAlex topics to subjects."""
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# Extract topics from the OpenAlex response
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topics = fake_openalex_response.get("topics", [])
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# Convert topics to strings - we'll use display_name
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topic_names = []
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if topics:
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topic_names = [topic.get("display_name") for topic in topics if topic.get("display_name")]
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# Get subjects using the class method
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subjects = SubjectMapper.get_subjects({"topics": topics})
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# Verify subjects were returned
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assert subjects is not None
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assert isinstance(subjects, list)
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def test_citation_builder(fake_openalex_response):
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"""Test that the CitationBuilder correctly builds author information."""
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doi = "10.1038/srep45389"
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# Mock PIFinder with an empty list of PIs
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pi_finder = PIFinder(pis=[])
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# Create builder with required arguments
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builder = CitationBuilder(data=fake_openalex_response, doi=doi, pi_finder=pi_finder)
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# Test building other IDs
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other_ids = builder.build_other_ids()
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assert isinstance(other_ids, list)
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# Test building grants
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grants = builder.build_grants()
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assert isinstance(grants, list)
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# Test building topics
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topics = builder.build_topics()
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assert isinstance(topics, list)
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def test_license_processor(fake_openalex_response):
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"""Test that the LicenseProcessor correctly identifies and processes licenses."""
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# Create a simplified data structure that contains license info
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license_data = {
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"primary_location": fake_openalex_response.get("primary_location", {})
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}
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# Process the license
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license_obj = LicenseProcessor.process_license(license_data)
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# Verify license processing
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assert license_obj is not None
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assert hasattr(license_obj, "name")
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assert hasattr(license_obj, "uri")
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def test_pi_finder_find_by_orcid():
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"""Test that PIFinder can find a PI by ORCID."""
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# Create a Person object that matches the test config
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test_pi = Person(
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family_name="Doe",
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given_name="Jon",
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orcid="0000-0000-0000-0000",
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email="jon.doe@iana.org",
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affiliation="Institute of Science, Some University",
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project=["Project A01"]
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)
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# Create PIFinder with our test PI
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finder = PIFinder(pis=[test_pi])
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# Find PI by ORCID
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pi = finder._find_by_orcid("0000-0000-0000-0000")
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# Verify the PI was found
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assert pi is not None
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assert pi.family_name == "Doe"
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assert pi.given_name == "Jon"
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def test_config_load_invalid_path():
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"""Test that Config.load_config raises an error when an invalid path is provided."""
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invalid_path = "non_existent_config.yaml"
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# Verify that attempting to load a non-existent config raises an error
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with pytest.raises(FileNotFoundError):
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Config.load_config(config_path=invalid_path)
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def test_metadata_processor_fetch_data(mocker, fake_openalex_response):
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"""Test the _fetch_data method of the MetadataProcessor class with mocked responses."""
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doi = "10.1038/srep45389"
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# Mock API response
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mocker.patch("doi2dataset.APIClient.make_request",
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return_value=FakeResponse(fake_openalex_response, 200))
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# Create processor with upload disabled and progress disabled
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processor = MetadataProcessor(doi=doi, upload=False, progress=False)
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# Test the _fetch_data method directly
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data = processor._fetch_data()
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# Verify that data was fetched correctly
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assert data is not None
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assert data == fake_openalex_response
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# Verify the DOI is correctly stored
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assert processor.doi == doi
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