Fix loaders' file_path and other metadata

libs/kotaemon/kotaemon/loaders/excel_loader.py

@@ -44,6 +44,7 @@ class PandasExcelReader(BaseReader):
         file: Path,
         include_sheetname: bool = False,
         sheet_name: Optional[Union[str, int, list]] = None,
+        extra_info: Optional[dict] = None,
         **kwargs,
     ) -> List[Document]:
         """Parse file and extract values from a specific column.
@@ -92,7 +93,7 @@ class PandasExcelReader(BaseReader):
                 text=self._row_joiner.join(
                     self._col_joiner.join(sublist) for sublist in text_list
                 ),
-                metadata={"source": file.stem},
+                metadata=extra_info or {},
             )
         ]
 

libs/kotaemon/kotaemon/loaders/mathpix_loader.py

@@ -2,7 +2,7 @@ import json
 import re
 import time
 from pathlib import Path
-from typing import Any, Dict, List
+from typing import Any, Dict, List, Optional
 
 import requests
 from kotaemon.base import Document
@@ -138,7 +138,9 @@ class MathpixPDFReader(BaseReader):
         contents = re.sub(markup_regex, "", contents)
         return contents
 
-    def load_data(self, file_path: Path, **kwargs) -> List[Document]:
+    def load_data(
+        self, file_path: Path, extra_info: Optional[dict] = None, **kwargs
+    ) -> List[Document]:
         if "response_content" in kwargs:
             # overriding response content if specified
             content = kwargs["response_content"]
@@ -154,10 +156,11 @@ class MathpixPDFReader(BaseReader):
         for table in tables:
             text = strip_special_chars_markdown(table)
             metadata = {
-                "source": file_path.name,
                 "table_origin": table,
                 "type": "table",
             }
+            if extra_info:
+                metadata.update(extra_info)
             documents.append(
                 Document(
                     text=text,

libs/kotaemon/kotaemon/loaders/ocr_loader.py

@@ -1,5 +1,5 @@
 from pathlib import Path
-from typing import List
+from typing import List, Optional
 from uuid import uuid4
 
 import requests
@@ -25,7 +25,9 @@ class OCRReader(BaseReader):
         self.ocr_endpoint = endpoint
         self.use_ocr = use_ocr
 
-    def load_data(self, file_path: Path, **kwargs) -> List[Document]:
+    def load_data(
+        self, file_path: Path, extra_info: Optional[dict] = None, **kwargs
+    ) -> List[Document]:
         """Load data using OCR reader
 
         Args:
@@ -63,6 +65,7 @@ class OCRReader(BaseReader):
             debug_path=debug_path,
             artifact_path=artifact_path,
         )
+        extra_info = extra_info or {}
 
         # create output Document with metadata from table
         documents = [
@@ -72,10 +75,7 @@ class OCRReader(BaseReader):
                     "table_origin": table_text,
                     "type": "table",
                     "page_label": page_id + 1,
-                    "source": file_path.name,
-                    "file_path": str(file_path),
-                    "file_name": file_path.name,
-                    "filename": str(file_path),
+                    **extra_info,
                 },
                 metadata_template="",
                 metadata_seperator="",
@@ -87,13 +87,7 @@ class OCRReader(BaseReader):
             [
                 Document(
                     text=non_table_text,
-                    metadata={
-                        "page_label": page_id + 1,
-                        "source": file_path.name,
-                        "file_path": str(file_path),
-                        "file_name": file_path.name,
-                        "filename": str(file_path),
-                    },
+                    metadata={"page_label": page_id + 1, **extra_info},
                 )
                 for page_id, non_table_text in texts
             ]

libs/kotaemon/kotaemon/loaders/unstructured_loader.py

@@ -50,7 +50,7 @@ class UnstructuredReader(BaseReader):
     def load_data(
         self,
         file: Path,
-        additional_metadata: Optional[Dict] = None,
+        extra_info: Optional[Dict] = None,
         split_documents: Optional[bool] = False,
         **kwargs,
     ) -> List[Document]:
@@ -91,8 +91,8 @@ class UnstructuredReader(BaseReader):
                             continue
                         metadata[field] = val
 
-                if additional_metadata is not None:
-                    metadata.update(additional_metadata)
+                if extra_info is not None:
+                    metadata.update(extra_info)
 
                 metadata["file_name"] = file_name
                 docs.append(Document(text=node.text, metadata=metadata))
@@ -101,8 +101,8 @@ class UnstructuredReader(BaseReader):
             text_chunks = [" ".join(str(el).split()) for el in elements]
             metadata = {"file_name": file_name, "file_path": file_path}
 
-            if additional_metadata is not None:
-                metadata.update(additional_metadata)
+            if extra_info is not None:
+                metadata.update(extra_info)
 
             # Create a single document by joining all the texts
             docs.append(Document(text="\n\n".join(text_chunks), metadata=metadata))

libs/ktem/ktem/reasoning/simple.py

@@ -96,7 +96,7 @@ class PrepareEvidencePipeline(BaseComponent):
             evidence = texts[0].text
             print("len (trimmed)", len(evidence))
 
-        print(f"PrepareEvidence with input {input}\nOutput: {evidence}\n")
+        print(f"PrepareEvidence with input {docs}\nOutput: {evidence}\n")
 
         return Document(content=(evidence_mode, evidence))
 
@@ -228,7 +228,7 @@ class FullQAPipeline(BaseComponent):
     answering_pipeline: AnswerWithContextPipeline = AnswerWithContextPipeline.withx()
 
     async def run(  # type: ignore
-        self, message: str, cid: str, history: list, **kwargs  # type: ignore
+        self, message: str, conv_id: str, history: list, **kwargs  # type: ignore
     ) -> Document:  # type: ignore
         docs = []
         for retriever in self.retrievers: