test: 添加全面的测试套件,覆盖所有 Reader 实现
- 测试数量从 83 个增加到 193 个 (+132%) - 代码覆盖率从 48% 提升到 69% (+44%) - 为每种文档格式的所有 Reader 实现创建独立测试 - 添加跨 Reader 的一致性验证测试 - 新增 4 个测试规范 (cli-testing, exception-testing, reader-testing, test-fixtures) - 更新 README 测试统计信息 测试覆盖: - DOCX: python-docx, markitdown, docling, native-xml, pypandoc, unstructured - PDF: pypdf, markitdown, docling, docling-ocr, unstructured, unstructured-ocr - HTML: html2text, markitdown, trafilatura, domscribe - PPTX: python-pptx, markitdown, docling, native-xml, unstructured - XLSX: pandas, markitdown, docling, native-xml, unstructured - CLI: 所有命令行选项和错误处理 所有 193 个测试通过。
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tests/test_readers/conftest.py
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197
tests/test_readers/conftest.py
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"""Reader 测试专用 fixtures。"""
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import pytest
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from pathlib import Path
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@pytest.fixture
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def temp_docx(tmp_path):
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"""创建临时 DOCX 文件的 fixture 工厂。
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Args:
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paragraphs: 段落文本列表
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headings: 标题列表,格式为 [(level, text), ...]
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table_data: 表格数据,格式为 [[cell1, cell2], [cell3, cell4]]
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list_items: 列表项列表
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Returns:
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str: 临时文件路径
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"""
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def _create_docx(paragraphs=None, headings=None, table_data=None, list_items=None):
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try:
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from docx import Document
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except ImportError:
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pytest.skip("python-docx 未安装")
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doc = Document()
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# 添加标题
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if headings:
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for level, text in headings:
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doc.add_heading(text, level=level)
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# 添加段落
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if paragraphs:
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for para_text in paragraphs:
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doc.add_paragraph(para_text)
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# 添加表格
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if table_data:
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table = doc.add_table(rows=len(table_data), cols=len(table_data[0]))
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for i, row_data in enumerate(table_data):
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for j, cell_text in enumerate(row_data):
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table.rows[i].cells[j].text = str(cell_text)
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# 添加列表项
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if list_items:
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for item in list_items:
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doc.add_paragraph(item, style='List Bullet')
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file_path = tmp_path / "test.docx"
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doc.save(str(file_path))
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return str(file_path)
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return _create_docx
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@pytest.fixture
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def temp_pdf(tmp_path):
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"""创建临时 PDF 文件的 fixture 工厂。
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Args:
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text: PDF 文本内容
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lines: 文本行列表
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Returns:
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str: 临时文件路径
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"""
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def _create_pdf(text=None, lines=None):
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try:
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from reportlab.pdfgen import canvas
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from reportlab.lib.pagesizes import letter
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from reportlab.pdfbase import pdfmetrics
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from reportlab.pdfbase.ttfonts import TTFont
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except ImportError:
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pytest.skip("reportlab 未安装")
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file_path = tmp_path / "test.pdf"
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c = canvas.Canvas(str(file_path), pagesize=letter)
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# 尝试注册中文字体(如果可用)
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try:
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# 使用系统字体
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pdfmetrics.registerFont(TTFont('SimSun', 'simsun.ttc'))
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c.setFont('SimSun', 12)
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except:
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# 回退到默认字体
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c.setFont('Helvetica', 12)
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y_position = 750
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if text:
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# 单个文本块
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for line in text.split('\n'):
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c.drawString(100, y_position, line)
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y_position -= 20
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if lines:
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# 多行文本
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for line in lines:
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c.drawString(100, y_position, line)
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y_position -= 20
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c.save()
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return str(file_path)
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return _create_pdf
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@pytest.fixture
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def temp_html(tmp_path):
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"""创建临时 HTML 文件的 fixture 工厂。
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Args:
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content: HTML 内容字符串
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encoding: 文件编码,默认 'utf-8'
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Returns:
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str: 临时文件路径
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"""
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def _create_html(content="<html><body><p>Test</p></body></html>", encoding='utf-8'):
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file_path = tmp_path / "test.html"
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# 如果内容不包含完整的 HTML 结构,添加基本结构
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if not content.strip().startswith('<html'):
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content = f"<html><head><meta charset='{encoding}'></head><body>{content}</body></html>"
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with open(file_path, 'w', encoding=encoding) as f:
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f.write(content)
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return str(file_path)
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return _create_html
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@pytest.fixture
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def temp_pptx(tmp_path):
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"""创建临时 PPTX 文件的 fixture 工厂。
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Args:
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slides: 幻灯片内容列表,每个元素为 (title, content) 元组
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Returns:
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str: 临时文件路径
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"""
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def _create_pptx(slides=None):
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try:
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from pptx import Presentation
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except ImportError:
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pytest.skip("python-pptx 未安装")
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prs = Presentation()
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if slides:
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for title, content in slides:
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slide = prs.slides.add_slide(prs.slide_layouts[1]) # Title and Content layout
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slide.shapes.title.text = title
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if content:
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text_frame = slide.shapes.placeholders[1].text_frame
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text_frame.text = content
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file_path = tmp_path / "test.pptx"
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prs.save(str(file_path))
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return str(file_path)
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return _create_pptx
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@pytest.fixture
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def temp_xlsx(tmp_path):
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"""创建临时 XLSX 文件的 fixture 工厂。
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Args:
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data: 表格数据,格式为 [[cell1, cell2], [cell3, cell4]]
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Returns:
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str: 临时文件路径
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"""
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def _create_xlsx(data=None):
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try:
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import pandas as pd
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except ImportError:
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pytest.skip("pandas 未安装")
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file_path = tmp_path / "test.xlsx"
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if data:
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df = pd.DataFrame(data)
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df.to_excel(str(file_path), index=False, header=False)
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else:
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# 创建空的 Excel 文件
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df = pd.DataFrame()
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df.to_excel(str(file_path), index=False)
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return str(file_path)
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return _create_xlsx
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