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Feat: add image table context to pipeline splitter (#12167)

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### What problem does this PR solve?

Add image table context to pipeline splitter.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
This commit is contained in:
Yongteng Lei
2025-12-24 16:58:14 +08:00
committed by GitHub
parent 44671ea413
commit 9b52ba8061
6 changed files with 31 additions and 44 deletions
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40
rag/flow/parser/parser.py
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@ -37,7 +37,6 @@ from rag.app.naive import Docx
from rag.flow.base import ProcessBase, ProcessParamBase
from rag.flow.parser.schema import ParserFromUpstream
from rag.llm.cv_model import Base as VLM
from rag.nlp import attach_media_context
from rag.utils.base64_image import image2id
@ -86,8 +85,6 @@ class ParserParam(ProcessParamBase):
"pdf",
],
"output_format": "json",
"table_context_size": 0,
"image_context_size": 0,
},
"spreadsheet": {
"parse_method": "deepdoc", # deepdoc/tcadp_parser
@ -97,8 +94,6 @@ class ParserParam(ProcessParamBase):
"xlsx",
"csv",
],
"table_context_size": 0,
"image_context_size": 0,
},
"word": {
"suffix": [
@ -106,14 +101,10 @@ class ParserParam(ProcessParamBase):
"docx",
],
"output_format": "json",
"table_context_size": 0,
"image_context_size": 0,
},
"text&markdown": {
"suffix": ["md", "markdown", "mdx", "txt"],
"output_format": "json",
"table_context_size": 0,
"image_context_size": 0,
},
"slides": {
"parse_method": "deepdoc", # deepdoc/tcadp_parser
@ -122,8 +113,6 @@ class ParserParam(ProcessParamBase):
"ppt",
],
"output_format": "json",
"table_context_size": 0,
"image_context_size": 0,
},
"image": {
"parse_method": "ocr",
@ -357,11 +346,6 @@ class Parser(ProcessBase):
elif layout == "table":
b["doc_type_kwd"] = "table"
table_ctx = conf.get("table_context_size", 0) or 0
image_ctx = conf.get("image_context_size", 0) or 0
if table_ctx or image_ctx:
bboxes = attach_media_context(bboxes, table_ctx, image_ctx)
if conf.get("output_format") == "json":
self.set_output("json", bboxes)
if conf.get("output_format") == "markdown":
@ -436,11 +420,6 @@ class Parser(ProcessBase):
if table:
result.append({"text": table, "doc_type_kwd": "table"})
table_ctx = conf.get("table_context_size", 0) or 0
image_ctx = conf.get("image_context_size", 0) or 0
if table_ctx or image_ctx:
result = attach_media_context(result, table_ctx, image_ctx)
self.set_output("json", result)
elif output_format == "markdown":
@ -476,11 +455,6 @@ class Parser(ProcessBase):
sections = [{"text": section[0], "image": section[1]} for section in sections if section]
sections.extend([{"text": tb, "image": None, "doc_type_kwd": "table"} for ((_, tb), _) in tbls])
table_ctx = conf.get("table_context_size", 0) or 0
image_ctx = conf.get("image_context_size", 0) or 0
if table_ctx or image_ctx:
sections = attach_media_context(sections, table_ctx, image_ctx)
self.set_output("json", sections)
elif conf.get("output_format") == "markdown":
markdown_text = docx_parser.to_markdown(name, binary=blob)
@ -536,11 +510,6 @@ class Parser(ProcessBase):
if table:
result.append({"text": table, "doc_type_kwd": "table"})
table_ctx = conf.get("table_context_size", 0) or 0
image_ctx = conf.get("image_context_size", 0) or 0
if table_ctx or image_ctx:
result = attach_media_context(result, table_ctx, image_ctx)
self.set_output("json", result)
else:
# Default DeepDOC parser (supports .pptx format)
@ -554,10 +523,6 @@ class Parser(ProcessBase):
# json
assert conf.get("output_format") == "json", "have to be json for ppt"
if conf.get("output_format") == "json":
table_ctx = conf.get("table_context_size", 0) or 0
image_ctx = conf.get("image_context_size", 0) or 0
if table_ctx or image_ctx:
sections = attach_media_context(sections, table_ctx, image_ctx)
self.set_output("json", sections)
def _markdown(self, name, blob):
@ -597,11 +562,6 @@ class Parser(ProcessBase):
json_results.append(json_result)
table_ctx = conf.get("table_context_size", 0) or 0
image_ctx = conf.get("image_context_size", 0) or 0
if table_ctx or image_ctx:
json_results = attach_media_context(json_results, table_ctx, image_ctx)
self.set_output("json", json_results)
else:
self.set_output("text", "\n".join([section_text for section_text, _ in sections]))