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feat: new docling parse, model inference engines and presets (#499)

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Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
This commit is contained in:
Michele Dolfi
2026-02-18 15:35:08 +01:00
committed by GitHub
parent bec4bf0180
commit b4800c50f2
7 changed files with 1326 additions and 866 deletions
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16
scripts/update_doc_usage.py
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@@ -16,9 +16,17 @@ VARIABLE_WORDS: list[str] = [
"ocr_engines_enum",
"easyocr",
"dlparse_v4",
"docling_parse",
"fast",
"picture_description_api",
"vlm_pipeline_model_local",
"picture_description_preset",
"picture_description_custom_config",
"vlm_pipeline_preset",
"vlm_pipeline_custom_config",
"granite_docling",
"model_spec",
"engine_options",
]
@@ -112,10 +120,12 @@ def generate_model_doc(model: type[BaseModel]) -> str:
"""Generate documentation for a Pydantic model."""
models_stack = [model]
models_done = set()
doc = ""
while models_stack:
current_model = models_stack.pop()
models_done.add(current_model)
doc += f"<h4>{current_model.__name__}</h4>\n"
@@ -153,8 +163,10 @@ def generate_model_doc(model: type[BaseModel]) -> str:
doc += f"| `{field_name}` | {field_type} | {description} |\n"
for field_type in _unroll_types(base_type):
if inspect.isclass(field_type) and issubclass(
field_type, BaseModel
if (
inspect.isclass(field_type)
and issubclass(field_type, BaseModel)
and field_type not in models_done
):
models_stack.append(field_type)