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chrismannina

PubMed MCP Server

by chrismannina
test_models.py13.3 kB
""" Test cases for Pydantic models. """ import pytest from pydantic import ValidationError from src.models import ( Article, ArticleType, Author, CitationFormat, DateRange, Journal, MCPResponse, MeSHTerm, SearchResult, SortOrder, ) class TestAuthor: """Test the Author model.""" def test_author_creation(self): """Test creating an Author instance.""" author = Author( last_name="Smith", first_name="John", initials="J", affiliation="Harvard Medical School" ) assert author.last_name == "Smith" assert author.first_name == "John" assert author.initials == "J" assert author.affiliation == "Harvard Medical School" def test_author_minimal(self): """Test creating Author with minimal data.""" author = Author(last_name="Doe") assert author.last_name == "Doe" assert author.first_name is None assert author.initials is None assert author.affiliation is None def test_author_full_name_property(self): """Test the full_name property if it exists.""" author = Author(last_name="Smith", first_name="John", initials="J") # Check if the model has a full_name property or method if hasattr(author, "full_name"): assert "Smith" in author.full_name assert "John" in author.full_name class TestJournal: """Test the Journal model.""" def test_journal_creation(self): """Test creating a Journal instance.""" journal = Journal( title="Nature Medicine", iso_abbreviation="Nat Med", issn="1078-8956", volume="29", issue="1", pub_date="2023/01/15", ) assert journal.title == "Nature Medicine" assert journal.iso_abbreviation == "Nat Med" assert journal.issn == "1078-8956" assert journal.volume == "29" assert journal.issue == "1" assert journal.pub_date == "2023/01/15" def test_journal_minimal(self): """Test creating Journal with minimal data.""" journal = Journal(title="Unknown Journal") assert journal.title == "Unknown Journal" assert journal.iso_abbreviation is None assert journal.issn is None class TestMeSHTerm: """Test the MeSHTerm model.""" def test_mesh_term_creation(self): """Test creating a MeSHTerm instance.""" mesh_term = MeSHTerm(descriptor_name="Neoplasms", major_topic=True, ui="D009369") assert mesh_term.descriptor_name == "Neoplasms" assert mesh_term.major_topic is True assert mesh_term.ui == "D009369" def test_mesh_term_defaults(self): """Test MeSHTerm default values.""" mesh_term = MeSHTerm(descriptor_name="Proteins") assert mesh_term.descriptor_name == "Proteins" assert mesh_term.major_topic is False assert mesh_term.ui is None class TestArticle: """Test the Article model.""" def test_article_creation(self, sample_article): """Test creating an Article instance.""" assert sample_article.pmid == "12345678" assert sample_article.title == "Test Article Title" assert sample_article.abstract == "This is a test abstract for the article." assert len(sample_article.authors) == 1 assert sample_article.authors[0].last_name == "Smith" assert sample_article.journal.title == "Test Journal" def test_article_minimal(self): """Test creating Article with minimal required data.""" article = Article( pmid="87654321", title="Minimal Article", authors=[], journal=Journal(title="Unknown") ) assert article.pmid == "87654321" assert article.title == "Minimal Article" assert article.abstract is None assert len(article.authors) == 0 assert article.journal.title == "Unknown" def test_article_validation(self): """Test Article validation rules.""" # PMID should be required with pytest.raises(ValidationError): Article( title="Test", authors=[], journal=Journal(title="Test"), # Missing pmid ) # Title should be required with pytest.raises(ValidationError): Article( pmid="12345678", authors=[], journal=Journal(title="Test"), # Missing title ) def test_article_serialization(self, sample_article): """Test Article serialization to dict.""" data = sample_article.model_dump() # Updated for Pydantic v2 assert isinstance(data, dict) assert data["pmid"] == "12345678" assert data["title"] == "Test Article Title" assert "authors" in data assert "journal" in data # Authors should be serialized as list of dicts assert isinstance(data["authors"], list) if data["authors"]: assert isinstance(data["authors"][0], dict) assert "last_name" in data["authors"][0] # Check that serialization includes expected fields assert "pmid" in data assert "title" in data assert "authors" in data class TestSearchResult: """Test the SearchResult model.""" def test_search_result_creation(self, sample_search_result): """Test creating a SearchResult instance.""" assert sample_search_result.query == "test query" assert sample_search_result.total_results == 1 assert sample_search_result.returned_results == 1 assert len(sample_search_result.articles) == 1 assert isinstance(sample_search_result.search_time, float) assert isinstance(sample_search_result.suggestions, list) def test_search_result_empty(self): """Test creating SearchResult with no results.""" result = SearchResult( query="no results", total_results=0, returned_results=0, articles=[], search_time=0.1, suggestions=[], ) assert result.query == "no results" assert result.total_results == 0 assert result.returned_results == 0 assert len(result.articles) == 0 def test_search_result_validation(self): """Test SearchResult validation - skip if no validation is implemented.""" # Note: The actual model might not validate returned_results vs total_results # This test checks if validation exists, but doesn't fail if it doesn't try: result = SearchResult( query="test", total_results=1, returned_results=5, # More than total articles=[], search_time=0.1, suggestions=[], ) # If no validation error is raised, the model allows this assert result.total_results == 1 assert result.returned_results == 5 except ValidationError: # If validation exists and catches this, that's also fine pass class TestMCPResponse: """Test the MCPResponse model.""" def test_mcp_response_success(self): """Test successful MCPResponse.""" response = MCPResponse( content=[{"type": "text", "text": "Search completed successfully"}], is_error=False ) assert response.is_error is False assert len(response.content) == 1 assert response.content[0]["text"] == "Search completed successfully" def test_mcp_response_error(self): """Test error MCPResponse.""" response = MCPResponse( content=[{"type": "text", "text": "API request failed"}], is_error=True ) assert response.is_error is True assert len(response.content) == 1 assert response.content[0]["text"] == "API request failed" def test_mcp_response_validation(self): """Test MCPResponse validation rules.""" # Content should be required with pytest.raises(ValidationError): MCPResponse( is_error=False # Missing content ) # Content should be a list response = MCPResponse(content=[{"type": "text", "text": "Valid content"}], is_error=False) assert isinstance(response.content, list) class TestEnums: """Test the enum classes.""" def test_sort_order_enum(self): """Test SortOrder enum.""" assert SortOrder.RELEVANCE.value == "relevance" assert SortOrder.PUBLICATION_DATE.value == "pub_date" # Fixed enum name assert SortOrder.AUTHOR.value == "author" assert SortOrder.JOURNAL.value == "journal" assert SortOrder.TITLE.value == "title" def test_date_range_enum(self): """Test DateRange enum.""" assert DateRange.LAST_YEAR.value == "1y" assert DateRange.LAST_5_YEARS.value == "5y" assert DateRange.LAST_10_YEARS.value == "10y" assert DateRange.ALL_TIME.value == "all" def test_article_type_enum(self): """Test ArticleType enum.""" # Test some common article types assert ArticleType.JOURNAL_ARTICLE.value == "Journal Article" assert ArticleType.REVIEW.value == "Review" assert ArticleType.CLINICAL_TRIAL.value == "Clinical Trial" def test_citation_format_enum(self): """Test CitationFormat enum.""" assert CitationFormat.BIBTEX.value == "bibtex" assert CitationFormat.APA.value == "apa" assert CitationFormat.MLA.value == "mla" class TestModelIntegration: """Test model integration and complex scenarios.""" def test_article_with_multiple_authors(self): """Test Article with multiple authors.""" authors = [ Author(last_name="Smith", first_name="John", initials="J"), Author(last_name="Doe", first_name="Jane", initials="J"), Author(last_name="Johnson", first_name="Bob", initials="B"), ] article = Article( pmid="12345678", title="Collaborative Research", authors=authors, journal=Journal(title="Nature"), ) assert len(article.authors) == 3 assert article.authors[0].last_name == "Smith" assert article.authors[1].last_name == "Doe" assert article.authors[2].last_name == "Johnson" def test_article_with_mesh_terms(self): """Test Article with MeSH terms.""" mesh_terms = [ MeSHTerm(descriptor_name="Neoplasms", major_topic=True), MeSHTerm(descriptor_name="Humans", major_topic=False), MeSHTerm(descriptor_name="Adult", major_topic=False), ] article = Article( pmid="12345678", title="Cancer Research", authors=[Author(last_name="Smith")], journal=Journal(title="Cancer Research"), mesh_terms=mesh_terms, ) assert len(article.mesh_terms) == 3 major_terms = [term for term in article.mesh_terms if term.major_topic] assert len(major_terms) == 1 assert major_terms[0].descriptor_name == "Neoplasms" def test_search_result_with_multiple_articles(self, sample_article): """Test SearchResult with multiple articles.""" article2 = Article( pmid="87654321", title="Second Article", authors=[Author(last_name="Doe")], journal=Journal(title="Science"), ) result = SearchResult( query="multiple articles", total_results=2, returned_results=2, articles=[sample_article, article2], search_time=0.5, suggestions=["related term 1", "related term 2"], ) assert len(result.articles) == 2 assert result.articles[0].pmid == "12345678" assert result.articles[1].pmid == "87654321" assert len(result.suggestions) == 2 def test_model_json_serialization(self, sample_article): """Test JSON serialization of models.""" # Test Article JSON serialization (Pydantic v2) json_data = sample_article.model_dump_json() assert isinstance(json_data, str) assert "12345678" in json_data assert "Test Article Title" in json_data # Test parsing back from JSON (Pydantic v2) parsed_article = Article.model_validate_json(json_data) assert parsed_article.pmid == sample_article.pmid assert parsed_article.title == sample_article.title def test_model_copy_and_update(self, sample_article): """Test model copying and updating.""" # Create a copy with updates (Pydantic v2) updated_article = sample_article.model_copy( update={"title": "Updated Title", "abstract": "Updated abstract"} ) assert updated_article.pmid == sample_article.pmid # Unchanged assert updated_article.title == "Updated Title" # Changed assert updated_article.abstract == "Updated abstract" # Changed assert updated_article.authors == sample_article.authors # Unchanged

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