feat!: use orchestrators from jobkit (#248)

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

docling_serve/datamodel/requests.py

@@ -1,52 +1,14 @@
-import base64
-from io import BytesIO
-from typing import Annotated, Any, Union
+from typing import Union
 
-from pydantic import AnyHttpUrl, BaseModel, Field
+from pydantic import BaseModel
 
-from docling.datamodel.base_models import DocumentStream
+from docling_jobkit.datamodel.http_inputs import FileSource, HttpSource
 
-from docling_serve.datamodel.convert import ConvertDocumentsOptions
+from docling_serve.datamodel.convert import ConvertDocumentsRequestOptions
 
 
 class DocumentsConvertBase(BaseModel):
-    options: ConvertDocumentsOptions = ConvertDocumentsOptions()
-
-
-class HttpSource(BaseModel):
-    url: Annotated[
-        AnyHttpUrl,
-        Field(
-            description="HTTP url to process",
-            examples=["https://arxiv.org/pdf/2206.01062"],
-        ),
-    ]
-    headers: Annotated[
-        dict[str, Any],
-        Field(
-            description="Additional headers used to fetch the urls, "
-            "e.g. authorization, agent, etc"
-        ),
-    ] = {}
-
-
-class FileSource(BaseModel):
-    base64_string: Annotated[
-        str,
-        Field(
-            description="Content of the file serialized in base64. "
-            "For example it can be obtained via "
-            "`base64 -w 0 /path/to/file/pdf-to-convert.pdf`."
-        ),
-    ]
-    filename: Annotated[
-        str,
-        Field(description="Filename of the uploaded document", examples=["file.pdf"]),
-    ]
-
-    def to_document_stream(self) -> DocumentStream:
-        buf = BytesIO(base64.b64decode(self.base64_string))
-        return DocumentStream(stream=buf, name=self.filename)
+    options: ConvertDocumentsRequestOptions = ConvertDocumentsRequestOptions()
 
 
 class ConvertDocumentHttpSourcesRequest(DocumentsConvertBase):