two version of R2R are here HEAD master

1 files changed, 108 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/core/parsers/media/doc_parser.py b/.venv/lib/python3.12/site-packages/core/parsers/media/doc_parser.py
new file mode 100644
index 00000000..5b49e2cc
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/core/parsers/media/doc_parser.py
@@ -0,0 +1,108 @@
+# type: ignore
+import re
+from io import BytesIO
+from typing import AsyncGenerator
+
+import olefile
+
+from core.base.parsers.base_parser import AsyncParser
+from core.base.providers import (
+    CompletionProvider,
+    DatabaseProvider,
+    IngestionConfig,
+)
+
+
+class DOCParser(AsyncParser[str | bytes]):
+    """A parser for DOC (legacy Microsoft Word) data."""
+
+    def __init__(
+        self,
+        config: IngestionConfig,
+        database_provider: DatabaseProvider,
+        llm_provider: CompletionProvider,
+    ):
+        self.database_provider = database_provider
+        self.llm_provider = llm_provider
+        self.config = config
+        self.olefile = olefile
+
+    async def ingest(
+        self, data: str | bytes, **kwargs
+    ) -> AsyncGenerator[str, None]:
+        """Ingest DOC data and yield text from the document."""
+        if isinstance(data, str):
+            raise ValueError("DOC data must be in bytes format.")
+
+        # Create BytesIO object from the data
+        file_obj = BytesIO(data)
+
+        try:
+            # Open the DOC file using olefile
+            ole = self.olefile.OleFileIO(file_obj)
+
+            # Check if it's a Word document
+            if not ole.exists("WordDocument"):
+                raise ValueError("Not a valid Word document")
+
+            # Read the WordDocument stream
+            word_stream = ole.openstream("WordDocument").read()
+
+            # Read the text from the 0Table or 1Table stream (contains the text)
+            if ole.exists("1Table"):
+                table_stream = ole.openstream("1Table").read()
+            elif ole.exists("0Table"):
+                table_stream = ole.openstream("0Table").read()
+            else:
+                table_stream = b""
+
+            # Extract text content
+            text = self._extract_text(word_stream, table_stream)
+
+            # Clean and split the text
+            paragraphs = self._clean_text(text)
+
+            # Yield non-empty paragraphs
+            for paragraph in paragraphs:
+                if paragraph.strip():
+                    yield paragraph.strip()
+
+        except Exception as e:
+            raise ValueError(f"Error processing DOC file: {str(e)}") from e
+        finally:
+            ole.close()
+            file_obj.close()
+
+    def _extract_text(self, word_stream: bytes, table_stream: bytes) -> str:
+        """Extract text from Word document streams."""
+        try:
+            text = word_stream.replace(b"\x00", b"").decode(
+                "utf-8", errors="ignore"
+            )
+
+            # If table_stream exists, try to extract additional text
+            if table_stream:
+                table_text = table_stream.replace(b"\x00", b"").decode(
+                    "utf-8", errors="ignore"
+                )
+                text += table_text
+
+            return text
+        except Exception as e:
+            raise ValueError(f"Error extracting text: {str(e)}") from e
+
+    def _clean_text(self, text: str) -> list[str]:
+        """Clean and split the extracted text into paragraphs."""
+        # Remove binary artifacts and control characters
+        text = re.sub(r"[\x00-\x08\x0B\x0C\x0E-\x1F\x7F-\xFF]", "", text)
+
+        # Remove multiple spaces and newlines
+        text = re.sub(r"\s+", " ", text)
+
+        # Split into paragraphs on double newlines or other common separators
+        paragraphs = re.split(r"\n\n|\r\n\r\n|\f", text)
+
+        # Remove empty or whitespace-only paragraphs
+        paragraphs = [p.strip() for p in paragraphs if p.strip()]
+
+        return paragraphs