Merge pull request #1278 from icecraft/fix/remove_demo

fix: remove deprecated demo code

next_docs/en/user_guide/quick_start/to_markdown.rst

@@ -14,6 +14,7 @@ Local File Example
     from magic_pdf.data.data_reader_writer import FileBasedDataWriter, FileBasedDataReader
     from magic_pdf.data.dataset import PymuDocDataset
     from magic_pdf.model.doc_analyze_by_custom_model import doc_analyze
+    from magic_pdf.config.enums import SupportedPdfParseMethod
 
     # args
     pdf_file_name = "abc.pdf"  # replace with the real pdf path
@@ -38,15 +39,22 @@ Local File Example
     ## Create Dataset Instance
     ds = PymuDocDataset(pdf_bytes)
 
-    ## inference 
-    infer_result = ds.apply(doc_analyze, ocr=True)
+    ## inference
+    if ds.classify() == SupportedPdfParseMethod.OCR:
+        infer_result = ds.apply(doc_analyze, ocr=True)
+
+        ## pipeline
+        pipe_result = infer_result.pipe_ocr_mode(image_writer)
+
+    else:
+        infer_result = ds.apply(doc_analyze, ocr=False)
+
+        ## pipeline
+        pipe_result = infer_result.pipe_txt_mode(image_writer)
 
     ### draw model result on each page
     infer_result.draw_model(os.path.join(local_md_dir, f"{name_without_suff}_model.pdf"))
 
-    ## pipeline
-    pipe_result = infer_result.pipe_ocr_mode(image_writer)
-
     ### draw layout result on each page
     pipe_result.draw_layout(os.path.join(local_md_dir, f"{name_without_suff}_layout.pdf"))
 
@@ -56,6 +64,9 @@ Local File Example
     ### dump markdown
     pipe_result.dump_md(md_writer, f"{name_without_suff}.md", image_dir)
 
+    ### dump content list
+    pipe_result.dump_content_list(md_writer, f"{name_without_suff}_content_list.json", image_dir)
+
 
 S3 File Example
 ^^^^^^^^^^^^^^^^
@@ -94,23 +105,32 @@ S3 File Example
     ## Create Dataset Instance
     ds = PymuDocDataset(pdf_bytes)
 
-    ## inference 
-    infer_result = ds.apply(doc_analyze, ocr=True)
+    ## inference
+    if ds.classify() == SupportedPdfParseMethod.OCR:
+        infer_result = ds.apply(doc_analyze, ocr=True)
+
+        ## pipeline
+        pipe_result = infer_result.pipe_ocr_mode(image_writer)
+    else:
+        infer_result = ds.apply(doc_analyze, ocr=False)
+
+        ## pipeline
+        pipe_result = infer_result.pipe_txt_mode(image_writer)
 
     ### draw model result on each page
     infer_result.draw_model(os.path.join(local_dir, f'{name_without_suff}_model.pdf'))  # dump to local
 
-    ## pipeline
-    pipe_result = infer_result.pipe_ocr_mode(image_writer)
-
     ### draw layout result on each page
     pipe_result.draw_layout(os.path.join(local_dir, f'{name_without_suff}_layout.pdf'))  # dump to local
 
     ### draw spans result on each page
-    pipe_result.draw_span(os.path.join(local_dir, f'{name_without_suff}_spans.pdf'))   # dump to local 
+    pipe_result.draw_span(os.path.join(local_dir, f'{name_without_suff}_spans.pdf'))   # dump to local
 
     ### dump markdown
     pipe_result.dump_md(writer, f'{name_without_suff}.md', "unittest/tmp/images")    # dump to remote s3
 
+    ### dump content list
+    pipe_result.dump_content_list(md_writer, f"{name_without_suff}_content_list.json", image_dir)
+
 
 Check :doc:`../data/data_reader_writer` for more [reader | writer] examples and check :doc:`../../api/pipe_operators` or :doc:`../../api/model_operators` for api details

next_docs/zh_cn/user_guide/quick_start/to_markdown.rst

@@ -12,6 +12,7 @@
     from magic_pdf.data.data_reader_writer import FileBasedDataWriter, FileBasedDataReader
     from magic_pdf.data.dataset import PymuDocDataset
     from magic_pdf.model.doc_analyze_by_custom_model import doc_analyze
+    from magic_pdf.config.enums import SupportedPdfParseMethod
 
     # args
     pdf_file_name = "abc.pdf"  # replace with the real pdf path
@@ -36,15 +37,22 @@
     ## Create Dataset Instance
     ds = PymuDocDataset(pdf_bytes)
 
-    ## inference 
-    infer_result = ds.apply(doc_analyze, ocr=True)
+    ## inference
+    if ds.classify() == SupportedPdfParseMethod.OCR:
+        infer_result = ds.apply(doc_analyze, ocr=True)
+
+        ## pipeline
+        pipe_result = infer_result.pipe_ocr_mode(image_writer)
+
+    else:
+        infer_result = ds.apply(doc_analyze, ocr=False)
+
+        ## pipeline
+        pipe_result = infer_result.pipe_txt_mode(image_writer)
 
     ### draw model result on each page
     infer_result.draw_model(os.path.join(local_md_dir, f"{name_without_suff}_model.pdf"))
 
-    ## pipeline
-    pipe_result = infer_result.pipe_ocr_mode(image_writer)
-
     ### draw layout result on each page
     pipe_result.draw_layout(os.path.join(local_md_dir, f"{name_without_suff}_layout.pdf"))
 
@@ -54,6 +62,9 @@
     ### dump markdown
     pipe_result.dump_md(md_writer, f"{name_without_suff}.md", image_dir)
 
+    ### dump content list
+    pipe_result.dump_content_list(md_writer, f"{name_without_suff}_content_list.json", image_dir)
+
 
 对象存储文件示例
 ^^^^^^^^^^^^^^^^
@@ -92,23 +103,32 @@
     ## Create Dataset Instance
     ds = PymuDocDataset(pdf_bytes)
 
-    ## inference 
-    infer_result = ds.apply(doc_analyze, ocr=True)
+    ## inference
+    if ds.classify() == SupportedPdfParseMethod.OCR:
+        infer_result = ds.apply(doc_analyze, ocr=True)
+
+        ## pipeline
+        pipe_result = infer_result.pipe_ocr_mode(image_writer)
+
+    else:
+        infer_result = ds.apply(doc_analyze, ocr=False)
+
+        ## pipeline
+        pipe_result = infer_result.pipe_txt_mode(image_writer)
 
     ### draw model result on each page
     infer_result.draw_model(os.path.join(local_dir, f'{name_without_suff}_model.pdf'))  # dump to local
 
-    ## pipeline
-    pipe_result = infer_result.pipe_ocr_mode(image_writer)
-
     ### draw layout result on each page
     pipe_result.draw_layout(os.path.join(local_dir, f'{name_without_suff}_layout.pdf'))  # dump to local
 
     ### draw spans result on each page
-    pipe_result.draw_span(os.path.join(local_dir, f'{name_without_suff}_spans.pdf'))  # dump to local 
+    pipe_result.draw_span(os.path.join(local_dir, f'{name_without_suff}_spans.pdf'))  # dump to local
 
     ### dump markdown
     pipe_result.dump_md(writer, f'{name_without_suff}.md', "unittest/tmp/images")  # dump to remote s3
 
+    ### dump content list
+    pipe_result.dump_content_list(md_writer, f"{name_without_suff}_content_list.json", image_dir)
 
 前去 :doc:`../data/data_reader_writer` 获取更多有关 **读写** 示例