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Revert "feat: Go knowledge compiler with scheduler-driven dataset compilation" (#17897)

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Reverts infiniflow/ragflow#17881
This commit is contained in:
Jin Hai
2026-08-05 21:50:28 +08:00
committed by GitHub
parent eaf553320f
commit cf13082a1a
165 changed files with 3172 additions and 6959 deletions
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51
deepdoc/parser/figure_parser.py
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@@ -28,7 +28,6 @@ from rag.nlp import append_context2table_image4pdf
from rag.utils.lazy_image import ensure_pil_image, open_image_for_processing, is_image_like
# need to delete before pr
def vision_figure_parser_figure_data_wrapper(figures_data_without_positions):
if not figures_data_without_positions:
return []
@@ -46,19 +45,29 @@ def vision_figure_parser_figure_data_wrapper(figures_data_without_positions):
return res
def vision_figure_parser_docx_wrapper(sections, tbls, callback=None, **kwargs):
def _normalize_vision_language(lang):
return lang or "English"
def vision_figure_parser_docx_wrapper(sections, tbls, callback=None, lang="English", **kwargs):
lang = _normalize_vision_language(lang)
if not sections:
return tbls
try:
vision_model_config = get_tenant_default_model_by_type(kwargs["tenant_id"], LLMType.VISION)
vision_model = LLMBundle(kwargs["tenant_id"], vision_model_config)
vision_model = LLMBundle(kwargs["tenant_id"], vision_model_config, lang=lang)
callback(0.7, "Visual model detected. Attempting to enhance figure extraction...")
except Exception:
vision_model = None
if vision_model:
figures_data = vision_figure_parser_figure_data_wrapper(sections)
try:
docx_vision_parser = VisionFigureParser(vision_model=vision_model, figures_data=figures_data, **kwargs)
docx_vision_parser = VisionFigureParser(
vision_model=vision_model,
figures_data=figures_data,
lang=lang,
**kwargs,
)
boosted_figures = docx_vision_parser(callback=callback)
tbls.extend(boosted_figures)
except Exception as e:
@@ -66,13 +75,14 @@ def vision_figure_parser_docx_wrapper(sections, tbls, callback=None, **kwargs):
return tbls
def vision_figure_parser_figure_xlsx_wrapper(images, callback=None, **kwargs):
def vision_figure_parser_figure_xlsx_wrapper(images, callback=None, lang="English", **kwargs):
lang = _normalize_vision_language(lang)
tbls = []
if not images:
return []
try:
vision_model_config = get_tenant_default_model_by_type(kwargs["tenant_id"], LLMType.VISION)
vision_model = LLMBundle(kwargs["tenant_id"], vision_model_config)
vision_model = LLMBundle(kwargs["tenant_id"], vision_model_config, lang=lang)
callback(0.2, "Visual model detected. Attempting to enhance Excel image extraction...")
except Exception:
vision_model = None
@@ -90,7 +100,12 @@ def vision_figure_parser_figure_xlsx_wrapper(images, callback=None, **kwargs):
for img in images
]
try:
parser = VisionFigureParser(vision_model=vision_model, figures_data=figures_data, **kwargs)
parser = VisionFigureParser(
vision_model=vision_model,
figures_data=figures_data,
lang=lang,
**kwargs,
)
callback(0.22, "Parsing images...")
boosted_figures = parser(callback=callback)
tbls.extend(boosted_figures)
@@ -99,7 +114,8 @@ def vision_figure_parser_figure_xlsx_wrapper(images, callback=None, **kwargs):
return tbls
def vision_figure_parser_pdf_wrapper(tbls, callback=None, **kwargs):
def vision_figure_parser_pdf_wrapper(tbls, callback=None, lang="English", **kwargs):
lang = _normalize_vision_language(lang)
if not tbls:
return []
sections = kwargs.get("sections")
@@ -107,7 +123,7 @@ def vision_figure_parser_pdf_wrapper(tbls, callback=None, **kwargs):
context_size = max(0, int(parser_config.get("image_context_size", 0) or 0))
try:
vision_model_config = get_tenant_default_model_by_type(kwargs["tenant_id"], LLMType.VISION)
vision_model = LLMBundle(kwargs["tenant_id"], vision_model_config)
vision_model = LLMBundle(kwargs["tenant_id"], vision_model_config, lang=lang)
callback(0.7, "Visual model detected. Attempting to enhance figure extraction...")
except Exception:
vision_model = None
@@ -131,6 +147,7 @@ def vision_figure_parser_pdf_wrapper(tbls, callback=None, **kwargs):
figures_data=figures_data,
figure_contexts=figure_contexts,
context_size=context_size,
lang=lang,
**kwargs,
)
boosted_figures = docx_vision_parser(callback=callback)
@@ -141,12 +158,13 @@ def vision_figure_parser_pdf_wrapper(tbls, callback=None, **kwargs):
return tbls
def vision_figure_parser_docx_wrapper_naive(chunks, idx_lst, callback=None, **kwargs):
def vision_figure_parser_docx_wrapper_naive(chunks, idx_lst, callback=None, lang="English", **kwargs):
lang = _normalize_vision_language(lang)
if not chunks:
return []
try:
vision_model_config = get_tenant_default_model_by_type(kwargs["tenant_id"], LLMType.VISION)
vision_model = LLMBundle(kwargs["tenant_id"], vision_model_config)
vision_model = LLMBundle(kwargs["tenant_id"], vision_model_config, lang=lang)
callback(0.7, "Visual model detected. Attempting to enhance figure extraction...")
except Exception:
vision_model = None
@@ -164,12 +182,11 @@ def vision_figure_parser_docx_wrapper_naive(chunks, idx_lst, callback=None, **kw
# context_above + caption if any
context_above=ck.get("context_above") + ck.get("text", ""),
context_below=ck.get("context_below"),
language=lang,
)
logging.info(f"[VisionFigureParser] figure={idx} context_above_len={len(context_above)} context_below_len={len(context_below)} prompt=with_context")
logging.info(f"[VisionFigureParser] figure={idx} context_above_snippet={context_above[:512]}")
logging.info(f"[VisionFigureParser] figure={idx} context_below_snippet={context_below[:512]}")
else:
prompt = vision_llm_figure_describe_prompt()
prompt = vision_llm_figure_describe_prompt(language=lang)
logging.info(f"[VisionFigureParser] figure={idx} context_len=0 prompt=default")
try:
@@ -201,6 +218,7 @@ shared_executor = ThreadPoolExecutor(max_workers=10)
class VisionFigureParser:
def __init__(self, vision_model, figures_data, *args, **kwargs):
self.vision_model = vision_model
self.language = kwargs.get("lang") or "English"
self.figure_contexts = kwargs.get("figure_contexts") or []
self.context_size = max(0, int(kwargs.get("context_size", 0) or 0))
self._extract_figures_info(figures_data)
@@ -261,14 +279,13 @@ class VisionFigureParser:
prompt = vision_llm_figure_describe_prompt_with_context(
context_above=context_above,
context_below=context_below,
language=self.language,
)
logging.info(
f"[VisionFigureParser] figure={figure_idx} context_size={self.context_size} context_above_len={len(context_above)} context_below_len={len(context_below)} prompt=with_context"
)
logging.info(f"[VisionFigureParser] figure={figure_idx} context_above_snippet={context_above[:512]}")
logging.info(f"[VisionFigureParser] figure={figure_idx} context_below_snippet={context_below[:512]}")
else:
prompt = vision_llm_figure_describe_prompt()
prompt = vision_llm_figure_describe_prompt(language=self.language)
logging.info(f"[VisionFigureParser] figure={figure_idx} context_size={self.context_size} context_len=0 prompt=default")
description_text = picture_vision_llm_chunk(
binary=figure_binary,