From c3a62fb7b29a22a00eafc89bab1d54564cb63265 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Wed, 20 Aug 2025 07:04:14 +0000 Subject: [PATCH 01/19] feat: add word parser --- parsers/base_models.py | 8 +- parsers/docx_parser.py | 237 ++++++ pyproject.toml | 1 + tests/test_docx_parser.py | 324 ++++++++ uv.lock | 1467 +++++++++++++++++++++++++++++++++++++ 5 files changed, 2033 insertions(+), 4 deletions(-) create mode 100644 parsers/docx_parser.py create mode 100644 tests/test_docx_parser.py diff --git a/parsers/base_models.py b/parsers/base_models.py index 6b6b310..5d45596 100644 --- a/parsers/base_models.py +++ b/parsers/base_models.py @@ -26,13 +26,13 @@ class TableDataItem(BaseModel): class ChunkData(BaseModel): """块数据类""" type: ChunkType - name: str - content: str|TableDataItem = "" - description: str = "" + name: str|None = None + content: str|TableDataItem|None = None + description: str|None = None class DocumentData(BaseModel): """解析结果类""" - title: str = "" + title: str|None = None texts: list[ChunkData] = Field(default_factory=list) tables: list[ChunkData] = Field(default_factory=list) images: list[ChunkData] = Field(default_factory=list) diff --git a/parsers/docx_parser.py b/parsers/docx_parser.py new file mode 100644 index 0000000..dec930a --- /dev/null +++ b/parsers/docx_parser.py @@ -0,0 +1,237 @@ +""" +DOCX文档解析器模块 + +该模块提供使用Docling库解析DOCX文档并提取结构化内容的功能。 +支持标题、段落、列表、表格和图片的识别与输出。 +""" + +import asyncio +import logging +import time + +from docling.datamodel.base_models import InputFormat +from docling.document_converter import DocumentConverter, WordFormatOption +from docling.pipeline.simple_pipeline import SimplePipeline +from docling_core.types.doc.document import ( + CodeItem, + DocItemLabel, + DoclingDocument, + FormulaItem, + ListItem, + PictureItem, + SectionHeaderItem, + TableItem, + TextItem, + TitleItem, +) + +from parsers.base_models import ( + ChunkData, + ChunkType, + DocumentData, + DocumentParser, + TableDataItem, +) + +logger = logging.getLogger(__name__) + + +class DocxDocumentParser(DocumentParser): + """DOCX文档解析器 + + 使用Docling的现代解析管道提取DOCX文档的结构化内容。 + 支持异步解析接口，符合DocumentParser抽象基类。 + """ + + def __init__(self) -> None: + """初始化解析器""" + super().__init__() + self.supported_formats = [".docx"] + self._converter = DocumentConverter( + format_options={InputFormat.DOCX: WordFormatOption(pipeline_cls=SimplePipeline)}, + allowed_formats=[InputFormat.DOCX] + ) + logger.debug("DocxDocumentParser initialized with SimplePipeline") + + def can_parse(self, file_path: str) -> bool: + """检查是否可以解析该文件 + + Args: + file_path: 文件路径 + + Returns: + bool: 是否支持该文件格式 + """ + return any(file_path.lower().endswith(fmt) for fmt in self.supported_formats) + + async def parse(self, file_path: str) -> DocumentData: + """异步解析DOCX文件 + + Args: + file_path: DOCX文件路径 + + Returns: + ParseResult: 解析结果，包含标题、内容、处理时间和错误信息 + """ + start_time = time.time() + try: + # 执行同步转换（在异步中运行） + loop = asyncio.get_event_loop() + result = await loop.run_in_executor(None, self._converter.convert, file_path) + doc_data = result.document + + # 确保文档数据包含所有必要的属性 + if not hasattr(doc_data, 'name'): + doc_data.name = 'Unknown Document' + if not hasattr(doc_data, 'texts'): + doc_data.texts = [] + if not hasattr(doc_data, 'pictures'): + doc_data.pictures = [] + if not hasattr(doc_data, 'tables'): + doc_data.tables = [] + + title = self._extract_title(doc_data) + images = self._extract_images(doc_data.pictures) + tables = self._extract_tables(doc_data.tables) + texts = self._extract_texts(doc_data.texts) + + processing_time = time.time() - start_time + logger.info(f"Successfully parsed DOCX: {file_path} (took {processing_time:.2f}s)") + return DocumentData( + title=title, + texts=texts, + tables=tables, + images=images, + processing_time=processing_time, + success=True + ) + + except Exception as e: + processing_time = time.time() - start_time + error_msg = f"Failed to parse DOCX file {file_path}: {type(e).__name__}: {e}" + logger.exception(error_msg) # 记录完整堆栈 + return DocumentData( + success=False, + error_message=str(e), + processing_time=processing_time + ) + + def _extract_images(self, pictures: list[PictureItem]) -> list[ChunkData]: + """提取文档中的图片 + + Args: + pictures: 图片列表 + + Returns: + List[ChunkData]: 图片列表 + """ + image_items = [] + for idx, picture in enumerate(pictures): + image_uri = "" + if hasattr(picture, 'image') and picture.image and hasattr(picture.image, 'uri'): + image_uri = str(picture.image.uri) + + caption = "" + if hasattr(picture, 'captions') and picture.captions: + caption = str(picture.captions[0]) + + image_items.append( + ChunkData( + type=ChunkType.IMAGE, + name=getattr(picture, 'self_ref', None) or f"#/pictures/{idx}", + content=image_uri, + description=caption + ) + ) + + return image_items + + def _extract_tables(self, tables: list[TableItem]) -> list[ChunkData]: + """提取文档中的表格 + + Args: + tables: 表格列表 + + Returns: + List[ChunkData]: 表格列表 + """ + # 添加安全检查，确保 tables 参数存在且可迭代 + if not tables or not hasattr(tables, '__iter__'): + return [] + + table_items: list[ChunkData] = [] + for table in tables: + if not hasattr(table, 'data') or not hasattr(table.data, 'grid'): + continue + if len(table.data.grid) == 0: + continue + + table_cells = table.data.grid + row_headers = [cell.text for cell in table_cells[0] if cell.row_header] + column_headers = [cell.text for cell in table_cells[0] if cell.column_header] + data = [[cell.text for cell in row] for row in table_cells[1:]] + table_data = TableDataItem( + rows=table.data.num_rows, + columns=table.data.num_cols, + row_headers=row_headers, + column_headers=column_headers, + data=data + ) + table_items.append( + ChunkData( + type=ChunkType.TABLE, + name=getattr(table, 'self_ref', None) or f"table-{len(table_items)}", + content=table_data + ) + ) + + return table_items + + def _extract_title(self, doc_data: DoclingDocument) -> str: + """提取文档中的标题 + Args: + doc_data: 文档数据 + Returns: + str: 标题 + """ + title = "" + for item in doc_data.texts: + if hasattr(item, 'label') and item.label == DocItemLabel.TITLE: + title = item.text + break + return title if title else doc_data.name + + def _extract_texts(self, texts:list[TitleItem|SectionHeaderItem|ListItem|CodeItem|FormulaItem|TextItem]) -> list[ChunkData]: + """提取文档中的文本 + + Args: + text: 文本列表 + + Returns: + List[ChunkData]: 文本列表 + """ + text_items: list[ChunkData] = [] + + for item in texts: + if not hasattr(item, 'label'): + continue + if not hasattr(item, 'text') or len(item.text) == 0: + continue + match item.label: + case DocItemLabel.FORMULA: + text_items.append( + ChunkData( + type=ChunkType.FORMULA, + name=item.self_ref or f"formula-{len(text_items)}", + content=item.text + ) + ) + case _: + text_items.append( + ChunkData( + type=ChunkType.TEXT, + name=f"text-{len(text_items)}", + content=item.text + ) + ) + return text_items diff --git a/pyproject.toml b/pyproject.toml index 23446a4..1a26c53 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,6 +15,7 @@ dependencies = [ "redis>=6.4.0", "openpyxl>=3.1.5", "pydantic>=2.11.7", + "docling>=2.45.0", ] [dependency-groups] diff --git a/tests/test_docx_parser.py b/tests/test_docx_parser.py new file mode 100644 index 0000000..e077e2a --- /dev/null +++ b/tests/test_docx_parser.py @@ -0,0 +1,324 @@ +""" +DOCX解析器测试模块 + +测试DocxDocumentParser的parse函数的各种场景 +""" + +import pytest +import asyncio +from unittest.mock import Mock, patch, AsyncMock +from pathlib import Path + +from parsers.docx_parser import DocxDocumentParser +from parsers.base_models import DocumentData, ChunkData, ChunkType, TableDataItem + + +class TestDocxDocumentParserParse: + """测试DocxDocumentParser的parse函数""" + + @pytest.fixture + def parser(self): + """创建解析器实例""" + return DocxDocumentParser() + + @pytest.fixture + def mock_doc_data(self): + """模拟文档数据""" + mock_doc = Mock() + mock_doc.name = "测试文档.docx" + + # 模拟图片数据 + mock_picture = Mock() + mock_picture.self_ref = "pic1" + mock_picture.image.uri = "/path/to/image.jpg" + mock_picture.captions = ["图片说明"] + mock_doc.pictures = [mock_picture] + + # 模拟表格数据 + mock_table = Mock() + mock_table.self_ref = "table1" + mock_table.captions = ["表格标题"] + mock_table.data.num_rows = 2 + mock_table.data.num_cols = 3 + mock_table.data.grid = [ + [Mock(text="列1", row_header=False, column_header=True), + Mock(text="列2", row_header=False, column_header=True), + Mock(text="列3", row_header=False, column_header=True)], + [Mock(text="数据1", row_header=False, column_header=False), + Mock(text="数据2", row_header=False, column_header=False), + Mock(text="数据3", row_header=False, column_header=False)] + ] + mock_doc.tables = [mock_table] + + # 模拟文本数据 + mock_title = Mock() + mock_title.text = "文档标题" + mock_title.label = "title" + + mock_text = Mock() + mock_text.text = "这是正文内容" + mock_text.self_ref = "text1" + mock_text.label = "text" + + mock_formula = Mock() + mock_formula.text = "E = mc²" + mock_formula.self_ref = "formula1" + mock_formula.label = "formula" + + mock_doc.texts = [mock_title, mock_text, mock_formula] + + return mock_doc + + @pytest.fixture + def mock_converter_result(self, mock_doc_data): + """模拟转换器结果""" + mock_result = Mock() + mock_result.document = mock_doc_data + return mock_result + + @pytest.mark.asyncio + async def test_parse_success(self, parser, mock_converter_result): + """测试成功解析DOCX文件""" + file_path = "/path/to/test.docx" + + with patch.object(parser, '_converter') as mock_converter: + mock_converter.convert.return_value = mock_converter_result + result = await parser.parse(file_path) + + # 验证返回结果 + assert result.success is True + assert result.title == "文档标题" + assert result.processing_time > 0 + assert result.error_message is None + + # 验证文本内容 + assert len(result.texts) == 3 # 标题不算在texts中 + assert result.texts[0].type == ChunkType.TEXT + assert result.texts[0].content == "文档标题" + assert result.texts[1].type == ChunkType.TEXT + assert result.texts[1].content == "这是正文内容" + assert result.texts[2].type == ChunkType.FORMULA + assert result.texts[2].content == "E = mc²" + + # 验证表格 + assert len(result.tables) == 1 + assert result.tables[0].type == ChunkType.TABLE + assert isinstance(result.tables[0].content, TableDataItem) + assert result.tables[0].content.rows == 2 + assert result.tables[0].content.columns == 3 + + # 验证图片 + assert len(result.images) == 1 + assert result.images[0].type == ChunkType.IMAGE + assert result.images[0].content == "/path/to/image.jpg" + assert result.images[0].description == "图片说明" + + @pytest.mark.asyncio + async def test_parse_without_title(self, parser): + """测试没有标题的文档解析""" + file_path = "/path/to/test.docx" + + # 创建没有标题的模拟数据 + mock_doc = Mock() + mock_doc.name = "无标题文档.docx" + mock_doc.pictures = [] + mock_doc.tables = [] + + mock_text = Mock() + mock_text.text = "只有正文内容" + mock_text.self_ref = "text1" + mock_text.label = "text" + mock_doc.texts = [mock_text] + + mock_result = Mock() + mock_result.document = mock_doc + + with patch.object(parser, '_converter') as mock_converter: + mock_converter.convert.return_value = mock_result + + result = await parser.parse(file_path) + + # 验证使用文件名作为标题 + assert result.success is True + assert result.title == "无标题文档.docx" + assert len(result.texts) == 1 + assert len(result.tables) == 0 + assert len(result.images) == 0 + + @pytest.mark.asyncio + async def test_parse_empty_document(self, parser): + """测试空文档解析""" + file_path = "/path/to/empty.docx" + + mock_doc = Mock() + mock_doc.name = "空文档.docx" + mock_doc.pictures = [] + mock_doc.tables = [] + mock_doc.texts = [] + + mock_result = Mock() + mock_result.document = mock_doc + + with patch.object(parser, '_converter') as mock_converter: + mock_converter.convert.return_value = mock_result + + result = await parser.parse(file_path) + + assert result.success is True + assert result.title == "空文档.docx" + assert len(result.texts) == 0 + assert len(result.tables) == 0 + assert len(result.images) == 0 + + @pytest.mark.asyncio + async def test_parse_converter_error(self, parser): + """测试转换器错误处理""" + file_path = "/path/to/invalid.docx" + + with patch.object(parser, '_converter') as mock_converter: + mock_converter.convert.side_effect = Exception("转换失败") + + result = await parser.parse(file_path) + + assert result.success is False + assert result.error_message == "转换失败" + assert result.processing_time > 0 + assert result.title is None + assert len(result.texts) == 0 + assert len(result.tables) == 0 + assert len(result.images) == 0 + + @pytest.mark.asyncio + async def test_parse_with_complex_table(self, parser): + """测试复杂表格解析""" + file_path = "/path/to/table.docx" + + mock_doc = Mock() + mock_doc.name = "表格文档.docx" + mock_doc.pictures = [] + mock_doc.texts = [] + + # 创建复杂表格 + mock_table = Mock() + mock_table.self_ref = "complex_table" + mock_table.captions = ["复杂表格"] + mock_table.data.num_rows = 3 + mock_table.data.num_cols = 4 + + # 第一行作为列头 + mock_table.data.grid = [ + [Mock(text="姓名", row_header=False, column_header=True), + Mock(text="年龄", row_header=False, column_header=True), + Mock(text="职业", row_header=False, column_header=True), + Mock(text="薪资", row_header=False, column_header=True)], + [Mock(text="张三", row_header=False, column_header=False), + Mock(text="25", row_header=False, column_header=False), + Mock(text="工程师", row_header=False, column_header=False), + Mock(text="15000", row_header=False, column_header=False)], + [Mock(text="李四", row_header=False, column_header=False), + Mock(text="30", row_header=False, column_header=False), + Mock(text="设计师", row_header=False, column_header=False), + Mock(text="18000", row_header=False, column_header=False)] + ] + mock_doc.tables = [mock_table] + + mock_result = Mock() + mock_result.document = mock_doc + + with patch.object(parser, '_converter') as mock_converter: + mock_converter.convert.return_value = mock_result + + result = await parser.parse(file_path) + + assert result.success is True + assert len(result.tables) == 1 + + table = result.tables[0].content + assert table.rows == 3 + assert table.columns == 4 + assert table.column_headers == ["姓名", "年龄", "职业", "薪资"] + assert table.data[0] == ["张三", "25", "工程师", "15000"] + assert table.data[1] == ["李四", "30", "设计师", "18000"] + + @pytest.mark.asyncio + async def test_parse_with_multiple_images(self, parser): + """测试多图片解析""" + file_path = "/path/to/images.docx" + + mock_doc = Mock() + mock_doc.name = "图片文档.docx" + mock_doc.tables = [] + mock_doc.texts = [] + + # 创建多个图片 + mock_pictures = [] + for i in range(3): + mock_pic = Mock() + mock_pic.self_ref = f"pic{i+1}" + mock_pic.image.uri = f"/path/to/image{i+1}.jpg" + mock_pic.captions = [f"图片{i+1}说明"] + mock_pictures.append(mock_pic) + + mock_doc.pictures = mock_pictures + + mock_result = Mock() + mock_result.document = mock_doc + + with patch.object(parser, '_converter') as mock_converter: + mock_converter.convert.return_value = mock_result + + result = await parser.parse(file_path) + + assert result.success is True + assert len(result.images) == 3 + + for i, img in enumerate(result.images): + assert img.type == ChunkType.IMAGE + assert img.content == f"/path/to/image{i+1}.jpg" + assert img.description == f"图片{i+1}说明" + + @pytest.mark.asyncio + async def test_parse_processing_time_accuracy(self, parser, mock_converter_result): + """测试处理时间计算的准确性""" + file_path = "/path/to/test.docx" + + with patch.object(parser, '_converter') as mock_converter: + mock_converter.convert.return_value = mock_converter_result + + result = await parser.parse(file_path) + + assert result.success is True + assert result.processing_time >= 0 + # 处理时间应该是一个合理的正数 + assert result.processing_time < 10 # 假设不会超过10秒 + + @pytest.mark.asyncio + async def test_parse_with_section_headers(self, parser): + """测试包含章节标题的文档解析""" + file_path = "/path/to/sections.docx" + + mock_doc = Mock() + mock_doc.name = "章节文档.docx" + mock_doc.pictures = [] + mock_doc.tables = [] + + # 创建章节标题 + mock_section = Mock() + mock_section.text = "第一章 引言" + mock_section.self_ref = "section1" + mock_section.label = "section_header" + + mock_doc.texts = [mock_section] + + mock_result = Mock() + mock_result.document = mock_doc + + with patch.object(parser, '_converter') as mock_converter: + mock_converter.convert.return_value = mock_result + + result = await parser.parse(file_path) + + assert result.success is True + assert len(result.texts) == 1 + assert result.texts[0].type == ChunkType.TEXT + assert result.texts[0].content == "第一章 引言" diff --git a/uv.lock b/uv.lock index 6ee4cdd..deea53b 100644 --- a/uv.lock +++ b/uv.lock @@ -1,6 +1,29 @@ version = 1 revision = 3 requires-python = ">=3.12" +resolution-markers = [ + "sys_platform == 'darwin'", + "platform_machine == 'aarch64' and sys_platform == 'linux'", + "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')", +] + +[[package]] +name = "accelerate" +version = "1.10.0" +source = { registry = "https://pypi.org/simple" } 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+ print("=== S3认证测试 ===") + print(f"端点: {endpoint_url}") + print(f"存储桶: {bucket_name}") + print(f"区域: {region}") + print() + + try: + # 创建S3客户端 + s3_client = boto3.client( + 's3', + endpoint_url=endpoint_url, + aws_access_key_id=access_key, + aws_secret_access_key=secret_key, + region_name=region + ) + + print("1. 测试列出存储桶...") + response = s3_client.list_buckets() + buckets = [b['Name'] for b in response['Buckets']] + print(f" 可用存储桶: {buckets}") + + if bucket_name in buckets: + print(f"\n2. 测试访问存储桶: {bucket_name}") + try: + response = s3_client.list_objects_v2(Bucket=bucket_name, MaxKeys=5) + if 'Contents' in response: + print(f" 存储桶内容数量: {len(response['Contents'])}") + for obj in response['Contents'][:3]: + print(f" - {obj['Key']} ({obj['Size']} bytes)") + else: + print(" 存储桶为空") + except ClientError as e: + print(f" 访问存储桶失败: {e}") + + print(f"\n3. 测试上传小文件...") + test_content = b"Hello, S3 Test!" + test_key = "test/connectivity_test.txt" + + try: + s3_client.put_object( + Bucket=bucket_name, + Key=test_key, + Body=test_content, + ContentType='text/plain' + ) + print(" 上传成功!") + + # 测试下载 + response = s3_client.get_object(Bucket=bucket_name, Key=test_key) + downloaded_content = response['Body'].read() + print(f" 下载成功: {downloaded_content}") + + # 清理测试文件 + s3_client.delete_object(Bucket=bucket_name, Key=test_key) + print(" 清理成功!") + + except ClientError as e: + print(f" 上传/下载失败: {e}") + + except NoCredentialsError: + print("错误: 无法找到AWS凭证") + except ClientError as e: + error_code = e.response['Error']['Code'] + error_message = e.response['Error']['Message'] + print(f"错误: {error_code} - {error_message}") + except Exception as e: + print(f"未知错误: {e}") + +if __name__ == "__main__": + test_s3_authentication() From 7af3770988262f2efb424552099e64ed52d8061e Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Wed, 13 Aug 2025 10:07:51 +0000 Subject: [PATCH 03/19] fix: comfortable typing check --- test_s3_auth.py | 83 ------------------------------------------------- 1 file changed, 83 deletions(-) delete mode 100644 test_s3_auth.py diff --git a/test_s3_auth.py b/test_s3_auth.py deleted file mode 100644 index 445cfda..0000000 --- a/test_s3_auth.py +++ /dev/null @@ -1,83 +0,0 @@ -import boto3 -from botocore.exceptions import ClientError, NoCredentialsError - -def test_s3_authentication(): - """测试S3认证""" - - # 配置信息 - endpoint_url = "https://s3.kclab.cloud" - access_key = "B2sE0fKv1Y1lOpZtge5u" - secret_key = "JRx4MbrMbfUfQjIEm7speT52kQgjt0zafvlAuYxW" - bucket_name = "bucket-78134-shared" - region = "us-east-1" - - print("=== S3认证测试 ===") - print(f"端点: {endpoint_url}") - print(f"存储桶: {bucket_name}") - print(f"区域: {region}") - print() - - try: - # 创建S3客户端 - s3_client = boto3.client( - 's3', - endpoint_url=endpoint_url, - aws_access_key_id=access_key, - aws_secret_access_key=secret_key, - region_name=region - ) - - print("1. 测试列出存储桶...") - response = s3_client.list_buckets() - buckets = [b['Name'] for b in response['Buckets']] - print(f" 可用存储桶: {buckets}") - - if bucket_name in buckets: - print(f"\n2. 测试访问存储桶: {bucket_name}") - try: - response = s3_client.list_objects_v2(Bucket=bucket_name, MaxKeys=5) - if 'Contents' in response: - print(f" 存储桶内容数量: {len(response['Contents'])}") - for obj in response['Contents'][:3]: - print(f" - {obj['Key']} ({obj['Size']} bytes)") - else: - print(" 存储桶为空") - except ClientError as e: - print(f" 访问存储桶失败: {e}") - - print(f"\n3. 测试上传小文件...") - test_content = b"Hello, S3 Test!" - test_key = "test/connectivity_test.txt" - - try: - s3_client.put_object( - Bucket=bucket_name, - Key=test_key, - Body=test_content, - ContentType='text/plain' - ) - print(" 上传成功!") - - # 测试下载 - response = s3_client.get_object(Bucket=bucket_name, Key=test_key) - downloaded_content = response['Body'].read() - print(f" 下载成功: {downloaded_content}") - - # 清理测试文件 - s3_client.delete_object(Bucket=bucket_name, Key=test_key) - print(" 清理成功!") - - except ClientError as e: - print(f" 上传/下载失败: {e}") - - except NoCredentialsError: - print("错误: 无法找到AWS凭证") - except ClientError as e: - error_code = e.response['Error']['Code'] - error_message = e.response['Error']['Message'] - print(f"错误: {error_code} - {error_message}") - except Exception as e: - print(f"未知错误: {e}") - -if __name__ == "__main__": - test_s3_authentication() From 18a786ec1779eb00824360cabe581c71ddb6d4ad Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Mon, 18 Aug 2025 10:00:07 +0000 Subject: [PATCH 04/19] feat: add excel parser test --- parsers/document_parser_factory.py | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) create mode 100644 parsers/document_parser_factory.py diff --git a/parsers/document_parser_factory.py b/parsers/document_parser_factory.py new file mode 100644 index 0000000..e582873 --- /dev/null +++ b/parsers/document_parser_factory.py @@ -0,0 +1,29 @@ +import logging + +from parsers.document_parser import DocumentParser, ParseResult +from parsers.excel_parser import ExcelParser + +logger = logging.getLogger(__name__) + +class DocumentParserFactory: + """文档解析器工厂""" + + def __init__(self) -> None: + self.parsers: list[DocumentParser] = [ + ExcelParser() + ] + + def get_parser(self, file_path: str) -> DocumentParser | None: + """根据文件路径获取合适的解析器""" + for parser in self.parsers: + if parser.can_parse(file_path): + return parser + return None + + async def parse_document(self, file_path: str) -> ParseResult: + """解析文档""" + parser = self.get_parser(file_path) + if not parser: + raise ValueError(f"不支持的文件格式: {file_path}") + + return await parser.parse(file_path) From 9a580fda11c5083970eadd698691cbbecf1c1690 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Tue, 19 Aug 2025 11:07:34 +0000 Subject: [PATCH 05/19] feat: add document data models --- parsers/document_parser_factory.py | 29 ----------------------------- 1 file changed, 29 deletions(-) delete mode 100644 parsers/document_parser_factory.py diff --git a/parsers/document_parser_factory.py b/parsers/document_parser_factory.py deleted file mode 100644 index e582873..0000000 --- a/parsers/document_parser_factory.py +++ /dev/null @@ -1,29 +0,0 @@ -import logging - -from parsers.document_parser import DocumentParser, ParseResult -from parsers.excel_parser import ExcelParser - -logger = logging.getLogger(__name__) - -class DocumentParserFactory: - """文档解析器工厂""" - - def __init__(self) -> None: - self.parsers: list[DocumentParser] = [ - ExcelParser() - ] - - def get_parser(self, file_path: str) -> DocumentParser | None: - """根据文件路径获取合适的解析器""" - for parser in self.parsers: - if parser.can_parse(file_path): - return parser - return None - - async def parse_document(self, file_path: str) -> ParseResult: - """解析文档""" - parser = self.get_parser(file_path) - if not parser: - raise ValueError(f"不支持的文件格式: {file_path}") - - return await parser.parse(file_path) From 90ac0aed321c01f92c029ee7b9335ad46bce5e32 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Wed, 13 Aug 2025 09:09:11 +0000 Subject: [PATCH 06/19] feat: add s3 unit test --- test_s3_auth.py | 83 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 83 insertions(+) create mode 100644 test_s3_auth.py diff --git a/test_s3_auth.py b/test_s3_auth.py new file mode 100644 index 0000000..445cfda --- /dev/null +++ b/test_s3_auth.py @@ -0,0 +1,83 @@ +import boto3 +from botocore.exceptions import ClientError, NoCredentialsError + +def test_s3_authentication(): + """测试S3认证""" + + # 配置信息 + endpoint_url = "https://s3.kclab.cloud" + access_key = "B2sE0fKv1Y1lOpZtge5u" + secret_key = "JRx4MbrMbfUfQjIEm7speT52kQgjt0zafvlAuYxW" + bucket_name = "bucket-78134-shared" + region = "us-east-1" + + print("=== S3认证测试 ===") + print(f"端点: {endpoint_url}") + print(f"存储桶: {bucket_name}") + print(f"区域: {region}") + print() + + try: + # 创建S3客户端 + s3_client = boto3.client( + 's3', + endpoint_url=endpoint_url, + aws_access_key_id=access_key, + aws_secret_access_key=secret_key, + region_name=region + ) + + print("1. 测试列出存储桶...") + response = s3_client.list_buckets() + buckets = [b['Name'] for b in response['Buckets']] + print(f" 可用存储桶: {buckets}") + + if bucket_name in buckets: + print(f"\n2. 测试访问存储桶: {bucket_name}") + try: + response = s3_client.list_objects_v2(Bucket=bucket_name, MaxKeys=5) + if 'Contents' in response: + print(f" 存储桶内容数量: {len(response['Contents'])}") + for obj in response['Contents'][:3]: + print(f" - {obj['Key']} ({obj['Size']} bytes)") + else: + print(" 存储桶为空") + except ClientError as e: + print(f" 访问存储桶失败: {e}") + + print(f"\n3. 测试上传小文件...") + test_content = b"Hello, S3 Test!" + test_key = "test/connectivity_test.txt" + + try: + s3_client.put_object( + Bucket=bucket_name, + Key=test_key, + Body=test_content, + ContentType='text/plain' + ) + print(" 上传成功!") + + # 测试下载 + response = s3_client.get_object(Bucket=bucket_name, Key=test_key) + downloaded_content = response['Body'].read() + print(f" 下载成功: {downloaded_content}") + + # 清理测试文件 + s3_client.delete_object(Bucket=bucket_name, Key=test_key) + print(" 清理成功!") + + except ClientError as e: + print(f" 上传/下载失败: {e}") + + except NoCredentialsError: + print("错误: 无法找到AWS凭证") + except ClientError as e: + error_code = e.response['Error']['Code'] + error_message = e.response['Error']['Message'] + print(f"错误: {error_code} - {error_message}") + except Exception as e: + print(f"未知错误: {e}") + +if __name__ == "__main__": + test_s3_authentication() From c39aef79890d87051cd0d12561fdf45b38317a8b Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Wed, 13 Aug 2025 10:07:51 +0000 Subject: [PATCH 07/19] fix: comfortable typing check --- test_s3_auth.py | 83 ------------------------------------------------- 1 file changed, 83 deletions(-) delete mode 100644 test_s3_auth.py diff --git a/test_s3_auth.py b/test_s3_auth.py deleted file mode 100644 index 445cfda..0000000 --- a/test_s3_auth.py +++ /dev/null @@ -1,83 +0,0 @@ -import boto3 -from botocore.exceptions import ClientError, NoCredentialsError - -def test_s3_authentication(): - """测试S3认证""" - - # 配置信息 - endpoint_url = "https://s3.kclab.cloud" - access_key = "B2sE0fKv1Y1lOpZtge5u" - secret_key = "JRx4MbrMbfUfQjIEm7speT52kQgjt0zafvlAuYxW" - bucket_name = "bucket-78134-shared" - region = "us-east-1" - - print("=== S3认证测试 ===") - print(f"端点: {endpoint_url}") - print(f"存储桶: {bucket_name}") - print(f"区域: {region}") - print() - - try: - # 创建S3客户端 - s3_client = boto3.client( - 's3', - endpoint_url=endpoint_url, - aws_access_key_id=access_key, - aws_secret_access_key=secret_key, - region_name=region - ) - - print("1. 测试列出存储桶...") - response = s3_client.list_buckets() - buckets = [b['Name'] for b in response['Buckets']] - print(f" 可用存储桶: {buckets}") - - if bucket_name in buckets: - print(f"\n2. 测试访问存储桶: {bucket_name}") - try: - response = s3_client.list_objects_v2(Bucket=bucket_name, MaxKeys=5) - if 'Contents' in response: - print(f" 存储桶内容数量: {len(response['Contents'])}") - for obj in response['Contents'][:3]: - print(f" - {obj['Key']} ({obj['Size']} bytes)") - else: - print(" 存储桶为空") - except ClientError as e: - print(f" 访问存储桶失败: {e}") - - print(f"\n3. 测试上传小文件...") - test_content = b"Hello, S3 Test!" - test_key = "test/connectivity_test.txt" - - try: - s3_client.put_object( - Bucket=bucket_name, - Key=test_key, - Body=test_content, - ContentType='text/plain' - ) - print(" 上传成功!") - - # 测试下载 - response = s3_client.get_object(Bucket=bucket_name, Key=test_key) - downloaded_content = response['Body'].read() - print(f" 下载成功: {downloaded_content}") - - # 清理测试文件 - s3_client.delete_object(Bucket=bucket_name, Key=test_key) - print(" 清理成功!") - - except ClientError as e: - print(f" 上传/下载失败: {e}") - - except NoCredentialsError: - print("错误: 无法找到AWS凭证") - except ClientError as e: - error_code = e.response['Error']['Code'] - error_message = e.response['Error']['Message'] - print(f"错误: {error_code} - {error_message}") - except Exception as e: - print(f"未知错误: {e}") - -if __name__ == "__main__": - test_s3_authentication() From 3d1e739d50d546770223f9041944207b0184ac87 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Mon, 18 Aug 2025 10:00:07 +0000 Subject: [PATCH 08/19] feat: add excel parser test --- parsers/document_parser_factory.py | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) create mode 100644 parsers/document_parser_factory.py diff --git a/parsers/document_parser_factory.py b/parsers/document_parser_factory.py new file mode 100644 index 0000000..e582873 --- /dev/null +++ b/parsers/document_parser_factory.py @@ -0,0 +1,29 @@ +import logging + +from parsers.document_parser import DocumentParser, ParseResult +from parsers.excel_parser import ExcelParser + +logger = logging.getLogger(__name__) + +class DocumentParserFactory: + """文档解析器工厂""" + + def __init__(self) -> None: + self.parsers: list[DocumentParser] = [ + ExcelParser() + ] + + def get_parser(self, file_path: str) -> DocumentParser | None: + """根据文件路径获取合适的解析器""" + for parser in self.parsers: + if parser.can_parse(file_path): + return parser + return None + + async def parse_document(self, file_path: str) -> ParseResult: + """解析文档""" + parser = self.get_parser(file_path) + if not parser: + raise ValueError(f"不支持的文件格式: {file_path}") + + return await parser.parse(file_path) From 3838d896a83d7d7f4f1c836ba76de752ffb7f9a1 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Tue, 19 Aug 2025 11:07:34 +0000 Subject: [PATCH 09/19] feat: add document data models --- parsers/document_parser_factory.py | 29 ----------------------------- 1 file changed, 29 deletions(-) delete mode 100644 parsers/document_parser_factory.py diff --git a/parsers/document_parser_factory.py b/parsers/document_parser_factory.py deleted file mode 100644 index e582873..0000000 --- a/parsers/document_parser_factory.py +++ /dev/null @@ -1,29 +0,0 @@ -import logging - -from parsers.document_parser import DocumentParser, ParseResult -from parsers.excel_parser import ExcelParser - -logger = logging.getLogger(__name__) - -class DocumentParserFactory: - """文档解析器工厂""" - - def __init__(self) -> None: - self.parsers: list[DocumentParser] = [ - ExcelParser() - ] - - def get_parser(self, file_path: str) -> DocumentParser | None: - """根据文件路径获取合适的解析器""" - for parser in self.parsers: - if parser.can_parse(file_path): - return parser - return None - - async def parse_document(self, file_path: str) -> ParseResult: - """解析文档""" - parser = self.get_parser(file_path) - if not parser: - raise ValueError(f"不支持的文件格式: {file_path}") - - return await parser.parse(file_path) From 548cc94c0f9392cb5b70b72809c69cabab9790c6 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Wed, 13 Aug 2025 09:09:11 +0000 Subject: [PATCH 10/19] feat: add s3 unit test --- test_s3_auth.py | 83 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 83 insertions(+) create mode 100644 test_s3_auth.py diff --git a/test_s3_auth.py b/test_s3_auth.py new file mode 100644 index 0000000..445cfda --- /dev/null +++ b/test_s3_auth.py @@ -0,0 +1,83 @@ +import boto3 +from botocore.exceptions import ClientError, NoCredentialsError + +def test_s3_authentication(): + """测试S3认证""" + + # 配置信息 + endpoint_url = "https://s3.kclab.cloud" + access_key = "B2sE0fKv1Y1lOpZtge5u" + secret_key = "JRx4MbrMbfUfQjIEm7speT52kQgjt0zafvlAuYxW" + bucket_name = "bucket-78134-shared" + region = "us-east-1" + + print("=== S3认证测试 ===") + print(f"端点: {endpoint_url}") + print(f"存储桶: {bucket_name}") + print(f"区域: {region}") + print() + + try: + # 创建S3客户端 + s3_client = boto3.client( + 's3', + endpoint_url=endpoint_url, + aws_access_key_id=access_key, + aws_secret_access_key=secret_key, + region_name=region + ) + + print("1. 测试列出存储桶...") + response = s3_client.list_buckets() + buckets = [b['Name'] for b in response['Buckets']] + print(f" 可用存储桶: {buckets}") + + if bucket_name in buckets: + print(f"\n2. 测试访问存储桶: {bucket_name}") + try: + response = s3_client.list_objects_v2(Bucket=bucket_name, MaxKeys=5) + if 'Contents' in response: + print(f" 存储桶内容数量: {len(response['Contents'])}") + for obj in response['Contents'][:3]: + print(f" - {obj['Key']} ({obj['Size']} bytes)") + else: + print(" 存储桶为空") + except ClientError as e: + print(f" 访问存储桶失败: {e}") + + print(f"\n3. 测试上传小文件...") + test_content = b"Hello, S3 Test!" + test_key = "test/connectivity_test.txt" + + try: + s3_client.put_object( + Bucket=bucket_name, + Key=test_key, + Body=test_content, + ContentType='text/plain' + ) + print(" 上传成功!") + + # 测试下载 + response = s3_client.get_object(Bucket=bucket_name, Key=test_key) + downloaded_content = response['Body'].read() + print(f" 下载成功: {downloaded_content}") + + # 清理测试文件 + s3_client.delete_object(Bucket=bucket_name, Key=test_key) + print(" 清理成功!") + + except ClientError as e: + print(f" 上传/下载失败: {e}") + + except NoCredentialsError: + print("错误: 无法找到AWS凭证") + except ClientError as e: + error_code = e.response['Error']['Code'] + error_message = e.response['Error']['Message'] + print(f"错误: {error_code} - {error_message}") + except Exception as e: + print(f"未知错误: {e}") + +if __name__ == "__main__": + test_s3_authentication() From cc8c02b14740ead73275c524daebd04f64f1aee1 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Wed, 13 Aug 2025 10:07:51 +0000 Subject: [PATCH 11/19] fix: comfortable typing check --- test_s3_auth.py | 83 ------------------------------------------------- 1 file changed, 83 deletions(-) delete mode 100644 test_s3_auth.py diff --git a/test_s3_auth.py b/test_s3_auth.py deleted file mode 100644 index 445cfda..0000000 --- a/test_s3_auth.py +++ /dev/null @@ -1,83 +0,0 @@ -import boto3 -from botocore.exceptions import ClientError, NoCredentialsError - -def test_s3_authentication(): - """测试S3认证""" - - # 配置信息 - endpoint_url = "https://s3.kclab.cloud" - access_key = "B2sE0fKv1Y1lOpZtge5u" - secret_key = "JRx4MbrMbfUfQjIEm7speT52kQgjt0zafvlAuYxW" - bucket_name = "bucket-78134-shared" - region = "us-east-1" - - print("=== S3认证测试 ===") - print(f"端点: {endpoint_url}") - print(f"存储桶: {bucket_name}") - print(f"区域: {region}") - print() - - try: - # 创建S3客户端 - s3_client = boto3.client( - 's3', - endpoint_url=endpoint_url, - aws_access_key_id=access_key, - aws_secret_access_key=secret_key, - region_name=region - ) - - print("1. 测试列出存储桶...") - response = s3_client.list_buckets() - buckets = [b['Name'] for b in response['Buckets']] - print(f" 可用存储桶: {buckets}") - - if bucket_name in buckets: - print(f"\n2. 测试访问存储桶: {bucket_name}") - try: - response = s3_client.list_objects_v2(Bucket=bucket_name, MaxKeys=5) - if 'Contents' in response: - print(f" 存储桶内容数量: {len(response['Contents'])}") - for obj in response['Contents'][:3]: - print(f" - {obj['Key']} ({obj['Size']} bytes)") - else: - print(" 存储桶为空") - except ClientError as e: - print(f" 访问存储桶失败: {e}") - - print(f"\n3. 测试上传小文件...") - test_content = b"Hello, S3 Test!" - test_key = "test/connectivity_test.txt" - - try: - s3_client.put_object( - Bucket=bucket_name, - Key=test_key, - Body=test_content, - ContentType='text/plain' - ) - print(" 上传成功!") - - # 测试下载 - response = s3_client.get_object(Bucket=bucket_name, Key=test_key) - downloaded_content = response['Body'].read() - print(f" 下载成功: {downloaded_content}") - - # 清理测试文件 - s3_client.delete_object(Bucket=bucket_name, Key=test_key) - print(" 清理成功!") - - except ClientError as e: - print(f" 上传/下载失败: {e}") - - except NoCredentialsError: - print("错误: 无法找到AWS凭证") - except ClientError as e: - error_code = e.response['Error']['Code'] - error_message = e.response['Error']['Message'] - print(f"错误: {error_code} - {error_message}") - except Exception as e: - print(f"未知错误: {e}") - -if __name__ == "__main__": - test_s3_authentication() From 1ba4d14d137d8d8463de45d5cf9930a4703f8d75 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Mon, 18 Aug 2025 10:00:07 +0000 Subject: [PATCH 12/19] feat: add excel parser test --- parsers/document_parser_factory.py | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) create mode 100644 parsers/document_parser_factory.py diff --git a/parsers/document_parser_factory.py b/parsers/document_parser_factory.py new file mode 100644 index 0000000..e582873 --- /dev/null +++ b/parsers/document_parser_factory.py @@ -0,0 +1,29 @@ +import logging + +from parsers.document_parser import DocumentParser, ParseResult +from parsers.excel_parser import ExcelParser + +logger = logging.getLogger(__name__) + +class DocumentParserFactory: + """文档解析器工厂""" + + def __init__(self) -> None: + self.parsers: list[DocumentParser] = [ + ExcelParser() + ] + + def get_parser(self, file_path: str) -> DocumentParser | None: + """根据文件路径获取合适的解析器""" + for parser in self.parsers: + if parser.can_parse(file_path): + return parser + return None + + async def parse_document(self, file_path: str) -> ParseResult: + """解析文档""" + parser = self.get_parser(file_path) + if not parser: + raise ValueError(f"不支持的文件格式: {file_path}") + + return await parser.parse(file_path) From f362d980314f77fe392a9c15f427954767ec895b Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Tue, 19 Aug 2025 11:07:34 +0000 Subject: [PATCH 13/19] feat: add document data models --- parsers/document_parser_factory.py | 29 ----------------------------- 1 file changed, 29 deletions(-) delete mode 100644 parsers/document_parser_factory.py diff --git a/parsers/document_parser_factory.py b/parsers/document_parser_factory.py deleted file mode 100644 index e582873..0000000 --- a/parsers/document_parser_factory.py +++ /dev/null @@ -1,29 +0,0 @@ -import logging - -from parsers.document_parser import DocumentParser, ParseResult -from parsers.excel_parser import ExcelParser - -logger = logging.getLogger(__name__) - -class DocumentParserFactory: - """文档解析器工厂""" - - def __init__(self) -> None: - self.parsers: list[DocumentParser] = [ - ExcelParser() - ] - - def get_parser(self, file_path: str) -> DocumentParser | None: - """根据文件路径获取合适的解析器""" - for parser in self.parsers: - if parser.can_parse(file_path): - return parser - return None - - async def parse_document(self, file_path: str) -> ParseResult: - """解析文档""" - parser = self.get_parser(file_path) - if not parser: - raise ValueError(f"不支持的文件格式: {file_path}") - - return await parser.parse(file_path) From 971935bfe2702478ff9ad67163121c0b241eee38 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Wed, 13 Aug 2025 09:09:11 +0000 Subject: [PATCH 14/19] feat: add s3 unit test --- test_s3_auth.py | 83 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 83 insertions(+) create mode 100644 test_s3_auth.py diff --git a/test_s3_auth.py b/test_s3_auth.py new file mode 100644 index 0000000..445cfda --- /dev/null +++ b/test_s3_auth.py @@ -0,0 +1,83 @@ +import boto3 +from botocore.exceptions import ClientError, NoCredentialsError + +def test_s3_authentication(): + """测试S3认证""" + + # 配置信息 + endpoint_url = "https://s3.kclab.cloud" + access_key = "B2sE0fKv1Y1lOpZtge5u" + secret_key = "JRx4MbrMbfUfQjIEm7speT52kQgjt0zafvlAuYxW" + bucket_name = "bucket-78134-shared" + region = "us-east-1" + + print("=== S3认证测试 ===") + print(f"端点: {endpoint_url}") + print(f"存储桶: {bucket_name}") + print(f"区域: {region}") + print() + + try: + # 创建S3客户端 + s3_client = boto3.client( + 's3', + endpoint_url=endpoint_url, + aws_access_key_id=access_key, + aws_secret_access_key=secret_key, + region_name=region + ) + + print("1. 测试列出存储桶...") + response = s3_client.list_buckets() + buckets = [b['Name'] for b in response['Buckets']] + print(f" 可用存储桶: {buckets}") + + if bucket_name in buckets: + print(f"\n2. 测试访问存储桶: {bucket_name}") + try: + response = s3_client.list_objects_v2(Bucket=bucket_name, MaxKeys=5) + if 'Contents' in response: + print(f" 存储桶内容数量: {len(response['Contents'])}") + for obj in response['Contents'][:3]: + print(f" - {obj['Key']} ({obj['Size']} bytes)") + else: + print(" 存储桶为空") + except ClientError as e: + print(f" 访问存储桶失败: {e}") + + print(f"\n3. 测试上传小文件...") + test_content = b"Hello, S3 Test!" + test_key = "test/connectivity_test.txt" + + try: + s3_client.put_object( + Bucket=bucket_name, + Key=test_key, + Body=test_content, + ContentType='text/plain' + ) + print(" 上传成功!") + + # 测试下载 + response = s3_client.get_object(Bucket=bucket_name, Key=test_key) + downloaded_content = response['Body'].read() + print(f" 下载成功: {downloaded_content}") + + # 清理测试文件 + s3_client.delete_object(Bucket=bucket_name, Key=test_key) + print(" 清理成功!") + + except ClientError as e: + print(f" 上传/下载失败: {e}") + + except NoCredentialsError: + print("错误: 无法找到AWS凭证") + except ClientError as e: + error_code = e.response['Error']['Code'] + error_message = e.response['Error']['Message'] + print(f"错误: {error_code} - {error_message}") + except Exception as e: + print(f"未知错误: {e}") + +if __name__ == "__main__": + test_s3_authentication() From 49f540b7a0617d9592a22b1ab15b6c392739decb Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Wed, 13 Aug 2025 10:07:51 +0000 Subject: [PATCH 15/19] fix: comfortable typing check --- test_s3_auth.py | 83 ------------------------------------------------- 1 file changed, 83 deletions(-) delete mode 100644 test_s3_auth.py diff --git a/test_s3_auth.py b/test_s3_auth.py deleted file mode 100644 index 445cfda..0000000 --- a/test_s3_auth.py +++ /dev/null @@ -1,83 +0,0 @@ -import boto3 -from botocore.exceptions import ClientError, NoCredentialsError - -def test_s3_authentication(): - """测试S3认证""" - - # 配置信息 - endpoint_url = "https://s3.kclab.cloud" - access_key = "B2sE0fKv1Y1lOpZtge5u" - secret_key = "JRx4MbrMbfUfQjIEm7speT52kQgjt0zafvlAuYxW" - bucket_name = "bucket-78134-shared" - region = "us-east-1" - - print("=== S3认证测试 ===") - print(f"端点: {endpoint_url}") - print(f"存储桶: {bucket_name}") - print(f"区域: {region}") - print() - - try: - # 创建S3客户端 - s3_client = boto3.client( - 's3', - endpoint_url=endpoint_url, - aws_access_key_id=access_key, - aws_secret_access_key=secret_key, - region_name=region - ) - - print("1. 测试列出存储桶...") - response = s3_client.list_buckets() - buckets = [b['Name'] for b in response['Buckets']] - print(f" 可用存储桶: {buckets}") - - if bucket_name in buckets: - print(f"\n2. 测试访问存储桶: {bucket_name}") - try: - response = s3_client.list_objects_v2(Bucket=bucket_name, MaxKeys=5) - if 'Contents' in response: - print(f" 存储桶内容数量: {len(response['Contents'])}") - for obj in response['Contents'][:3]: - print(f" - {obj['Key']} ({obj['Size']} bytes)") - else: - print(" 存储桶为空") - except ClientError as e: - print(f" 访问存储桶失败: {e}") - - print(f"\n3. 测试上传小文件...") - test_content = b"Hello, S3 Test!" - test_key = "test/connectivity_test.txt" - - try: - s3_client.put_object( - Bucket=bucket_name, - Key=test_key, - Body=test_content, - ContentType='text/plain' - ) - print(" 上传成功!") - - # 测试下载 - response = s3_client.get_object(Bucket=bucket_name, Key=test_key) - downloaded_content = response['Body'].read() - print(f" 下载成功: {downloaded_content}") - - # 清理测试文件 - s3_client.delete_object(Bucket=bucket_name, Key=test_key) - print(" 清理成功!") - - except ClientError as e: - print(f" 上传/下载失败: {e}") - - except NoCredentialsError: - print("错误: 无法找到AWS凭证") - except ClientError as e: - error_code = e.response['Error']['Code'] - error_message = e.response['Error']['Message'] - print(f"错误: {error_code} - {error_message}") - except Exception as e: - print(f"未知错误: {e}") - -if __name__ == "__main__": - test_s3_authentication() From 569543cc2d9adbe532cb88aab546d019c9d6af9a Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Mon, 18 Aug 2025 10:00:07 +0000 Subject: [PATCH 16/19] feat: add excel parser test --- parsers/document_parser_factory.py | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) create mode 100644 parsers/document_parser_factory.py diff --git a/parsers/document_parser_factory.py b/parsers/document_parser_factory.py new file mode 100644 index 0000000..e582873 --- /dev/null +++ b/parsers/document_parser_factory.py @@ -0,0 +1,29 @@ +import logging + +from parsers.document_parser import DocumentParser, ParseResult +from parsers.excel_parser import ExcelParser + +logger = logging.getLogger(__name__) + +class DocumentParserFactory: + """文档解析器工厂""" + + def __init__(self) -> None: + self.parsers: list[DocumentParser] = [ + ExcelParser() + ] + + def get_parser(self, file_path: str) -> DocumentParser | None: + """根据文件路径获取合适的解析器""" + for parser in self.parsers: + if parser.can_parse(file_path): + return parser + return None + + async def parse_document(self, file_path: str) -> ParseResult: + """解析文档""" + parser = self.get_parser(file_path) + if not parser: + raise ValueError(f"不支持的文件格式: {file_path}") + + return await parser.parse(file_path) From c774e46e7d4e762bc4dc24aa97fc86541c4bfd06 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Tue, 19 Aug 2025 11:07:34 +0000 Subject: [PATCH 17/19] feat: add document data models --- parsers/document_parser_factory.py | 29 ----------------------------- 1 file changed, 29 deletions(-) delete mode 100644 parsers/document_parser_factory.py diff --git a/parsers/document_parser_factory.py b/parsers/document_parser_factory.py deleted file mode 100644 index e582873..0000000 --- a/parsers/document_parser_factory.py +++ /dev/null @@ -1,29 +0,0 @@ -import logging - -from parsers.document_parser import DocumentParser, ParseResult -from parsers.excel_parser import ExcelParser - -logger = logging.getLogger(__name__) - -class DocumentParserFactory: - """文档解析器工厂""" - - def __init__(self) -> None: - self.parsers: list[DocumentParser] = [ - ExcelParser() - ] - - def get_parser(self, file_path: str) -> DocumentParser | None: - """根据文件路径获取合适的解析器""" - for parser in self.parsers: - if parser.can_parse(file_path): - return parser - return None - - async def parse_document(self, file_path: str) -> ParseResult: - """解析文档""" - parser = self.get_parser(file_path) - if not parser: - raise ValueError(f"不支持的文件格式: {file_path}") - - return await parser.parse(file_path) From cd1e4f826588705c158010ed4d182c588d34ba50 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Wed, 20 Aug 2025 08:28:48 +0000 Subject: [PATCH 18/19] feat: add parser registry --- parsers/__init__.py | 12 ++++ parsers/base_models.py | 17 ----- parsers/document_parser.py | 29 -------- parsers/docx_parser.py | 17 +---- parsers/excel_parser.py | 16 +---- parsers/parser_registry.py | 132 +++++++++++++++++++++++++++++++++++++ worker.py | 9 ++- 7 files changed, 156 insertions(+), 76 deletions(-) delete mode 100644 parsers/document_parser.py create mode 100644 parsers/parser_registry.py diff --git a/parsers/__init__.py b/parsers/__init__.py index a07ec63..a15c4e4 100644 --- a/parsers/__init__.py +++ b/parsers/__init__.py @@ -1 +1,13 @@ # Parsers package + +from .parser_registry import ( + PARSER_REGISTRY, + DocumentParser, + can_parse, + get_parser, + get_supported_formats, + list_registered_parsers, + register_parser, +) + +__all__ = ['PARSER_REGISTRY', 'register_parser', 'DocumentParser', 'get_parser', 'can_parse', 'get_supported_formats', 'list_registered_parsers'] diff --git a/parsers/base_models.py b/parsers/base_models.py index 5d45596..66464fe 100644 --- a/parsers/base_models.py +++ b/parsers/base_models.py @@ -1,5 +1,4 @@ import logging -from abc import ABC, abstractmethod from enum import Enum from typing import Any @@ -40,19 +39,3 @@ class DocumentData(BaseModel): processing_time: float = 0 success: bool error_message: str | None = None - -class DocumentParser(ABC): - """文档解析器基类""" - - def __init__(self) -> None: - self.supported_formats: list[str] = Field(default_factory=list) - - @abstractmethod - async def parse(self, file_path: str) -> DocumentData: - """解析文档""" - pass - - @abstractmethod - def can_parse(self, file_path: str) -> bool: - """检查是否可以解析该文件""" - return any(file_path.lower().endswith(fmt) for fmt in self.supported_formats) diff --git a/parsers/document_parser.py b/parsers/document_parser.py deleted file mode 100644 index 782d019..0000000 --- a/parsers/document_parser.py +++ /dev/null @@ -1,29 +0,0 @@ -import logging - -from parsers.base_models import DocumentData, DocumentParser -from parsers.excel_parser import ExcelParser - -logger = logging.getLogger(__name__) - -class DocumentParserFactory: - """文档解析器工厂""" - - def __init__(self) -> None: - self.parsers: list[DocumentParser] = [ - ExcelParser() - ] - - def get_parser(self, file_path: str) -> DocumentParser | None: - """根据文件路径获取合适的解析器""" - for parser in self.parsers: - if parser.can_parse(file_path): - return parser - return None - - async def parse_document(self, file_path: str) -> DocumentData: - """解析文档""" - parser = self.get_parser(file_path) - if not parser: - raise ValueError(f"不支持的文件格式: {file_path}") - - return await parser.parse(file_path) diff --git a/parsers/docx_parser.py b/parsers/docx_parser.py index dec930a..c762110 100644 --- a/parsers/docx_parser.py +++ b/parsers/docx_parser.py @@ -29,13 +29,14 @@ ChunkData, ChunkType, DocumentData, - DocumentParser, TableDataItem, ) +from parsers.parser_registry import DocumentParser, register_parser logger = logging.getLogger(__name__) +@register_parser(['.docx']) class DocxDocumentParser(DocumentParser): """DOCX文档解析器 @@ -46,24 +47,12 @@ class DocxDocumentParser(DocumentParser): def __init__(self) -> None: """初始化解析器""" super().__init__() - self.supported_formats = [".docx"] self._converter = DocumentConverter( format_options={InputFormat.DOCX: WordFormatOption(pipeline_cls=SimplePipeline)}, allowed_formats=[InputFormat.DOCX] ) logger.debug("DocxDocumentParser initialized with SimplePipeline") - def can_parse(self, file_path: str) -> bool: - """检查是否可以解析该文件 - - Args: - file_path: 文件路径 - - Returns: - bool: 是否支持该文件格式 - """ - return any(file_path.lower().endswith(fmt) for fmt in self.supported_formats) - async def parse(self, file_path: str) -> DocumentData: """异步解析DOCX文件 @@ -71,7 +60,7 @@ async def parse(self, file_path: str) -> DocumentData: file_path: DOCX文件路径 Returns: - ParseResult: 解析结果，包含标题、内容、处理时间和错误信息 + DocumentData: 解析结果，包含标题、内容、处理时间和错误信息 """ start_time = time.time() try: diff --git a/parsers/excel_parser.py b/parsers/excel_parser.py index e333faa..67927fd 100644 --- a/parsers/excel_parser.py +++ b/parsers/excel_parser.py @@ -23,9 +23,9 @@ ChunkData, ChunkType, DocumentData, - DocumentParser, TableDataItem, ) +from parsers.parser_registry import DocumentParser, register_parser # 忽略 openpyxl 的特定警告 warnings.filterwarnings('ignore', category=UserWarning, module='openpyxl') @@ -49,6 +49,7 @@ class ExcelParseError(Exception): pass +@register_parser(['.xlsx', '.xls']) class ExcelParser(DocumentParser): """Excel文件解析器类""" @@ -61,17 +62,6 @@ def __init__(self, config: ExcelParseConfig | None = None): super().__init__() self.config: ExcelParseConfig = config or ExcelParseConfig() self.image_index: int = 0 - self.supported_formats: list[str] = ['.xlsx', '.xls'] - - def can_parse(self, file_path: str) -> bool: - """ - 验证输入文件 - Args: - file_path: 文件路径 - Returns: - bool: 是否支持解析 - """ - return any(file_path.lower().endswith(fmt) for fmt in self.supported_formats) async def parse(self, excel_path: str) -> DocumentData: """ @@ -183,7 +173,7 @@ def _process_image_object(self, img_obj: Image) -> ChunkData | None: Args: img_obj: 图片对象 Returns: - Optional[DocumentData]: 图片信息，处理失败时返回None + ChunkData|None: 图片信息，处理失败时返回None """ try: # 获取图片数据 diff --git a/parsers/parser_registry.py b/parsers/parser_registry.py new file mode 100644 index 0000000..9912f5c --- /dev/null +++ b/parsers/parser_registry.py @@ -0,0 +1,132 @@ +""" +解析器注册器模块 + +提供基于装饰器的解析器自动注册机制，支持多种文件格式的解析器注册和查找。 +""" + +import logging +from abc import ABC, abstractmethod +from collections.abc import Callable +from pathlib import Path + +from .base_models import DocumentData + +logger = logging.getLogger(__name__) + +# 全局解析器注册表 +PARSER_REGISTRY: dict[str, type['DocumentParser']] = {} + + +class DocumentParser(ABC): + """文档解析器基类""" + + @abstractmethod + async def parse(self, file_path: str) -> DocumentData: + """解析文档""" + pass + + +def register_parser(suffixes: list[str]) -> Callable[[type['DocumentParser']], type['DocumentParser']]: + """ + 解析器注册装饰器 + + Args: + suffixes: 支持的文件扩展名列表，如 ['.docx', '.doc'] + + Returns: + 装饰器函数 + + Example: + @register_parser(['.docx']) + class DocxDocumentParser(DocumentParser): + ... + """ + def decorator(cls: type['DocumentParser']) -> type['DocumentParser']: + # 验证类是否继承自 DocumentParser + if not issubclass(cls, DocumentParser): + raise TypeError(f"解析器类 {cls.__name__} 必须继承自 DocumentParser") + + # 注册到全局注册表 + for suffix in suffixes: + suffix = suffix.lower() # 统一转换为小写 + if suffix in PARSER_REGISTRY: + logger.warning(f"覆盖已存在的解析器: {suffix} -> {cls.__name__}") + PARSER_REGISTRY[suffix] = cls + logger.info(f"注册解析器: {suffix} -> {cls.__name__}") + + return cls + + return decorator + + +def get_parser(file_path: str) -> 'DocumentParser' | None: + """ + 根据文件路径获取合适的解析器实例 + + Args: + file_path: 文件路径 + + Returns: + 解析器实例，如果没有找到则返回 None + """ + file = Path(file_path) + suffix = file.suffix.lower() + + if suffix not in PARSER_REGISTRY: + logger.warning(f"未找到支持 {suffix} 格式的解析器") + return None + + parser_class = PARSER_REGISTRY[suffix] + try: + return parser_class() + except Exception as e: + logger.error(f"创建解析器实例失败: {parser_class.__name__}, 错误: {e}") + return None + + +def can_parse(file_path: str) -> bool: + """ + 检查文件是否可以被解析 + + Args: + file_path: 文件路径 + + Returns: + bool: 是否支持该文件格式 + """ + file = Path(file_path) + suffix = file.suffix.lower() + return suffix in PARSER_REGISTRY + + +def get_supported_formats() -> list[str]: + """ + 获取所有支持的文件格式 + + Returns: + 支持的文件扩展名列表 + """ + return list(PARSER_REGISTRY.keys()) + + +def get_parser_class(suffix: str) -> type['DocumentParser'] | None: + """ + 根据文件扩展名获取解析器类 + + Args: + suffix: 文件扩展名，如 '.docx' + + Returns: + 解析器类，如果没有找到则返回 None + """ + return PARSER_REGISTRY.get(suffix.lower()) + + +def list_registered_parsers() -> dict[str, str]: + """ + 列出所有已注册的解析器 + + Returns: + 扩展名到解析器类名的映射字典 + """ + return {suffix: cls.__name__ for suffix, cls in PARSER_REGISTRY.items()} diff --git a/worker.py b/worker.py index d59cea6..9f0c56e 100644 --- a/worker.py +++ b/worker.py @@ -4,13 +4,13 @@ from sanic import Sanic from enhancers.information_enhancer import InformationEnhancerFactory +from parsers import get_parser from parsers.base_models import ChunkData -from parsers.document_parser import DocumentParserFactory async def worker(app: Sanic) -> dict[str, Any]: # 使用工厂获取合适的解析器 - parser_factory = DocumentParserFactory() + enhancer_factory = InformationEnhancerFactory() redis = app.ctx.redis while True: @@ -19,7 +19,10 @@ async def worker(app: Sanic) -> dict[str, Any]: await asyncio.sleep(1) continue file_path = task.get("file_path") - parse_result = await parser_factory.parse_document(file_path) + parser = get_parser(file_path) + if not parser: + continue + parse_result = await parser.parse(file_path) if not parse_result.success: continue chunk_list = parse_result.texts + parse_result.tables + parse_result.images + parse_result.formulas From d3c7ef54402d85c31bed25efeabb82124751b751 Mon Sep 17 00:00:00 2001 From: liningping <728359849@qq.com> Date: Wed, 20 Aug 2025 08:58:35 +0000 Subject: [PATCH 19/19] feat: add parser registry --- .gitignore | 1 + parsers/__init__.py | 20 +++++++++++++++++--- parsers/base_models.py | 9 +++++++++ parsers/docx_parser.py | 3 ++- parsers/excel_parser.py | 9 +++++---- parsers/parser_registry.py | 38 ++++++-------------------------------- pyproject.toml | 6 ++++-- worker.py | 4 ++-- 8 files changed, 46 insertions(+), 44 deletions(-) diff --git a/.gitignore b/.gitignore index 36b13f1..3120f40 100644 --- a/.gitignore +++ b/.gitignore @@ -174,3 +174,4 @@ cython_debug/ # PyPI configuration file .pypirc +examples/ \ No newline at end of file diff --git a/parsers/__init__.py b/parsers/__init__.py index a15c4e4..9a7e20d 100644 --- a/parsers/__init__.py +++ b/parsers/__init__.py @@ -1,13 +1,27 @@ # Parsers package +from .base_models import DocumentData, DocumentParser from .parser_registry import ( PARSER_REGISTRY, - DocumentParser, - can_parse, get_parser, get_supported_formats, list_registered_parsers, register_parser, ) -__all__ = ['PARSER_REGISTRY', 'register_parser', 'DocumentParser', 'get_parser', 'can_parse', 'get_supported_formats', 'list_registered_parsers'] +__all__ = [ + 'DocumentData', + 'DocumentParser', + 'PARSER_REGISTRY', + 'register_parser', + 'get_parser', + 'get_supported_formats', + 'list_registered_parsers', + 'load_all_parsers', +] + +def load_all_parsers() -> list[str]: + """加载所有解析器""" + from .docx_parser import DocxDocumentParser + from .excel_parser import ExcelParser + return [DocxDocumentParser.__name__, ExcelParser.__name__] diff --git a/parsers/base_models.py b/parsers/base_models.py index 66464fe..3ff179b 100644 --- a/parsers/base_models.py +++ b/parsers/base_models.py @@ -1,4 +1,5 @@ import logging +from abc import ABC, abstractmethod from enum import Enum from typing import Any @@ -39,3 +40,11 @@ class DocumentData(BaseModel): processing_time: float = 0 success: bool error_message: str | None = None + +class DocumentParser(ABC): + """文档解析器基类""" + + @abstractmethod + async def parse(self, file_path: str) -> DocumentData: + """解析文档""" + pass diff --git a/parsers/docx_parser.py b/parsers/docx_parser.py index c762110..ddb9cb1 100644 --- a/parsers/docx_parser.py +++ b/parsers/docx_parser.py @@ -29,9 +29,10 @@ ChunkData, ChunkType, DocumentData, + DocumentParser, TableDataItem, ) -from parsers.parser_registry import DocumentParser, register_parser +from parsers.parser_registry import register_parser logger = logging.getLogger(__name__) diff --git a/parsers/excel_parser.py b/parsers/excel_parser.py index 67927fd..160276b 100644 --- a/parsers/excel_parser.py +++ b/parsers/excel_parser.py @@ -23,9 +23,10 @@ ChunkData, ChunkType, DocumentData, + DocumentParser, TableDataItem, ) -from parsers.parser_registry import DocumentParser, register_parser +from parsers.parser_registry import register_parser # 忽略 openpyxl 的特定警告 warnings.filterwarnings('ignore', category=UserWarning, module='openpyxl') @@ -63,7 +64,7 @@ def __init__(self, config: ExcelParseConfig | None = None): self.config: ExcelParseConfig = config or ExcelParseConfig() self.image_index: int = 0 - async def parse(self, excel_path: str) -> DocumentData: + async def parse(self, file_path: str) -> DocumentData: """ 将Excel文件转换为JSON格式 Args: @@ -81,7 +82,7 @@ async def parse(self, excel_path: str) -> DocumentData: images: list[ChunkData] = [] # 加载工作簿 - workbook = self._load_workbook(excel_path) + workbook = self._load_workbook(file_path) # 处理每个工作表 for sheet_index, sheet_name in enumerate(workbook.sheetnames): @@ -109,7 +110,7 @@ async def parse(self, excel_path: str) -> DocumentData: )) processing_time = time.time() - start_time return DocumentData( - title=Path(excel_path).stem, + title=Path(file_path).stem, texts=texts, tables=tables, images=images, diff --git a/parsers/parser_registry.py b/parsers/parser_registry.py index 9912f5c..a00fc6f 100644 --- a/parsers/parser_registry.py +++ b/parsers/parser_registry.py @@ -5,28 +5,18 @@ """ import logging -from abc import ABC, abstractmethod from collections.abc import Callable from pathlib import Path -from .base_models import DocumentData +from .base_models import DocumentParser logger = logging.getLogger(__name__) # 全局解析器注册表 -PARSER_REGISTRY: dict[str, type['DocumentParser']] = {} +PARSER_REGISTRY: dict[str, type[DocumentParser]] = {} -class DocumentParser(ABC): - """文档解析器基类""" - - @abstractmethod - async def parse(self, file_path: str) -> DocumentData: - """解析文档""" - pass - - -def register_parser(suffixes: list[str]) -> Callable[[type['DocumentParser']], type['DocumentParser']]: +def register_parser(suffixes: list[str]) -> Callable[[type[DocumentParser]], type[DocumentParser]]: """ 解析器注册装饰器 @@ -41,7 +31,7 @@ def register_parser(suffixes: list[str]) -> Callable[[type['DocumentParser']], t class DocxDocumentParser(DocumentParser): ... """ - def decorator(cls: type['DocumentParser']) -> type['DocumentParser']: + def decorator(cls: type[DocumentParser]) -> type[DocumentParser]: # 验证类是否继承自 DocumentParser if not issubclass(cls, DocumentParser): raise TypeError(f"解析器类 {cls.__name__} 必须继承自 DocumentParser") @@ -59,7 +49,7 @@ def decorator(cls: type['DocumentParser']) -> type['DocumentParser']: return decorator -def get_parser(file_path: str) -> 'DocumentParser' | None: +def get_parser(file_path: str) -> DocumentParser | None: """ 根据文件路径获取合适的解析器实例 @@ -83,22 +73,6 @@ def get_parser(file_path: str) -> 'DocumentParser' | None: logger.error(f"创建解析器实例失败: {parser_class.__name__}, 错误: {e}") return None - -def can_parse(file_path: str) -> bool: - """ - 检查文件是否可以被解析 - - Args: - file_path: 文件路径 - - Returns: - bool: 是否支持该文件格式 - """ - file = Path(file_path) - suffix = file.suffix.lower() - return suffix in PARSER_REGISTRY - - def get_supported_formats() -> list[str]: """ 获取所有支持的文件格式 @@ -109,7 +83,7 @@ def get_supported_formats() -> list[str]: return list(PARSER_REGISTRY.keys()) -def get_parser_class(suffix: str) -> type['DocumentParser'] | None: +def get_parser_class(suffix: str) -> type[DocumentParser] | None: """ 根据文件扩展名获取解析器类 diff --git a/pyproject.toml b/pyproject.toml index 1a26c53..56d7d32 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -83,7 +83,8 @@ warn_unreachable = true strict_equality = true exclude = [ "tests/", - "test_*.py" + "test_*.py", + "examples/" ] # 解决模块路径冲突 explicit_package_bases = true @@ -94,7 +95,8 @@ target-version = "py312" line-length = 88 exclude = [ "tests/", - "test_*.py" + "test_*.py", + "examples/" ] [tool.ruff.lint] diff --git a/worker.py b/worker.py index 9f0c56e..44e9d76 100644 --- a/worker.py +++ b/worker.py @@ -4,13 +4,13 @@ from sanic import Sanic from enhancers.information_enhancer import InformationEnhancerFactory -from parsers import get_parser +from parsers import get_parser, load_all_parsers from parsers.base_models import ChunkData async def worker(app: Sanic) -> dict[str, Any]: # 使用工厂获取合适的解析器 - + load_all_parsers() enhancer_factory = InformationEnhancerFactory() redis = app.ctx.redis while True: