feat(megaparse): add sdk

core/pyproject.toml

@@ -22,15 +22,12 @@ dependencies = [
     "transformers[sentencepiece]>=4.44.2",
     "faiss-cpu>=1.8.0.post1",
     "rapidfuzz>=3.10.1",
+    "megaparse-sdk>=0.1.2",
+    "markupsafe>=2.1.5",
 ]
 readme = "README.md"
 requires-python = ">= 3.11"
 
-[project.optional-dependencies]
-all = [
-    "unstructured[epub,docx,odt,doc,pptx,ppt,xlsx,md]>=0.15.5",
-    "docx2txt>=0.8",
-]
 [build-system]
 requires = ["hatchling"]
 build-backend = "hatchling.build"

core/quivr_core/config.py

@@ -4,12 +4,22 @@
 from pydantic import BaseModel
 
 
-class PdfParser(str, Enum):
-    LLAMA_PARSE = "llama_parse"
+class ParserType(str, Enum):
+    """Parser type enumeration."""
+
     UNSTRUCTURED = "unstructured"
+    LLAMA_PARSER = "llama_parser"
     MEGAPARSE_VISION = "megaparse_vision"
 
 
+class StrategyEnum(str, Enum):
+    """Method to use for the conversion"""
+
+    FAST = "fast"
+    AUTO = "auto"
+    HI_RES = "hi_res"
+
+
 class MegaparseBaseConfig(BaseModel):
     @classmethod
     def from_yaml(cls, file_path: str):
@@ -22,6 +32,8 @@ def from_yaml(cls, file_path: str):
 
 
 class MegaparseConfig(MegaparseBaseConfig):
-    strategy: str = "fast"
-    llama_parse_api_key: str | None = None
-    pdf_parser: PdfParser = PdfParser.UNSTRUCTURED
+    method: ParserType = ParserType.UNSTRUCTURED
+    strategy: StrategyEnum = StrategyEnum.AUTO
+    check_table: bool = False
+    parsing_instruction: str | None = None
+    model_name: str = "gpt-4o"

core/quivr_core/processor/implementations/megaparse_processor.py

@@ -1,9 +1,10 @@
 import logging
+import os
 
 import tiktoken
 from langchain_core.documents import Document
 from langchain_text_splitters import RecursiveCharacterTextSplitter, TextSplitter
-from megaparse import MegaParse
+from megaparse_sdk import MegaParseSDK
 
 from quivr_core.config import MegaparseConfig
 from quivr_core.files.file import QuivrFile
@@ -29,7 +30,24 @@ class MegaparseProcessor(ProcessorBase):
 
     """
 
-    supported_extensions = [FileExtension.pdf]
+    supported_extensions = [
+        FileExtension.pdf,
+        FileExtension.docx,
+        FileExtension.doc,
+        FileExtension.pptx,
+        FileExtension.xls,
+        FileExtension.xlsx,
+        FileExtension.csv,
+        FileExtension.epub,
+        FileExtension.bib,
+        FileExtension.odt,
+        FileExtension.html,
+        FileExtension.py,
+        FileExtension.markdown,
+        FileExtension.md,
+        FileExtension.mdx,
+        FileExtension.ipynb,
+    ]
 
     def __init__(
         self,
@@ -56,9 +74,24 @@ def processor_metadata(self):
         }
 
     async def process_file_inner(self, file: QuivrFile) -> list[Document]:
-        mega_parse = MegaParse(file_path=file.path, config=self.megaparse_config)  # type: ignore
-        document: Document = await mega_parse.aload()
-        if len(document.page_content) > self.splitter_config.chunk_size:
+        api_key = str(os.getenv("MEGAPARSE_API_KEY"))
+        megaparse = MegaParseSDK(api_key)
+        logger.info(f"Uploading file {file.path} to MegaParse")
+        data = {
+            "method": self.megaparse_config.method,
+            "strategy": self.megaparse_config.strategy,
+            "check_table": self.megaparse_config.check_table,
+            "parsing_instruction": self.megaparse_config.parsing_instruction,
+            "model_name": self.megaparse_config.model_name,
+        }
+        response = await megaparse.file.upload(
+            file_path=str(file.path),
+            **data,
+        )
+        document = Document(
+            page_content=response["result"],
+        )
+        if len(response) > self.splitter_config.chunk_size:
             docs = self.text_splitter.split_documents([document])
             for doc in docs:
                 doc.metadata = {"chunk_size": len(self.enc.encode(doc.page_content))}

core/quivr_core/processor/registry.py

@@ -3,7 +3,7 @@
 import types
 from dataclasses import dataclass, field
 from heapq import heappop, heappush
-from typing import Type, TypeAlias
+from typing import List, Type, TypeAlias
 
 from quivr_core.files.file import FileExtension
 
@@ -49,37 +49,41 @@ class ProcEntry:
 
 def _append_proc_mapping(
     mapping: ProcMapping,
-    file_ext: FileExtension | str,
+    file_exts: List[FileExtension] | List[str],
     cls_mod: str,
     errtxt: str,
     priority: int | None,
 ):
-    if file_ext in mapping:
-        try:
-            prev_proc = heappop(mapping[file_ext])
-            proc_entry = ProcEntry(
-                priority=priority if priority is not None else prev_proc.priority - 1,
-                cls_mod=cls_mod,
-                err=errtxt,
-            )
-            # Push the previous processor back
-            heappush(mapping[file_ext], prev_proc)
-            heappush(mapping[file_ext], proc_entry)
-        except IndexError:
+    for file_ext in file_exts:
+        if file_ext in mapping:
+            try:
+                prev_proc = heappop(mapping[file_ext])
+                proc_entry = ProcEntry(
+                    priority=priority
+                    if priority is not None
+                    else prev_proc.priority - 1,
+                    cls_mod=cls_mod,
+                    err=errtxt,
+                )
+                # Push the previous processor back
+                heappush(mapping[file_ext], prev_proc)
+                heappush(mapping[file_ext], proc_entry)
+            except IndexError:
+                proc_entry = ProcEntry(
+                    priority=priority if priority is not None else _LOWEST_PRIORITY,
+                    cls_mod=cls_mod,
+                    err=errtxt,
+                )
+                heappush(mapping[file_ext], proc_entry)
+
+        else:
             proc_entry = ProcEntry(
                 priority=priority if priority is not None else _LOWEST_PRIORITY,
                 cls_mod=cls_mod,
                 err=errtxt,
             )
-            heappush(mapping[file_ext], proc_entry)
 
-    else:
-        proc_entry = ProcEntry(
-            priority=priority if priority is not None else _LOWEST_PRIORITY,
-            cls_mod=cls_mod,
-            err=errtxt,
-        )
-        mapping[file_ext] = [proc_entry]
+            mapping[file_ext] = [proc_entry]
 
 
 def defaults_to_proc_entries(
@@ -109,21 +113,38 @@ def defaults_to_proc_entries(
             ext_str = ext.value if isinstance(ext, FileExtension) else ext
             _append_proc_mapping(
                 mapping=base_processors,
-                file_ext=ext,
+                file_exts=[ext],
                 cls_mod=f"quivr_core.processor.implementations.default.{processor_name}",
                 errtxt=f"can't import {processor_name}. Please install quivr-core[{ext_str}] to access {processor_name}",
                 priority=None,
             )
 
     # TODO(@aminediro): Megaparse should register itself
     # Append Megaparse
-    # _append_proc_mapping(
-    #     mapping=base_processors,
-    #     file_ext=FileExtension.pdf,
-    #     cls_mod="quivr_core.processor.implementations.megaparse_processor.MegaparseProcessor",
-    #     errtxt=f"can't import MegaparseProcessor. Please install quivr-core[{ext_str}] to access MegaparseProcessor",
-    #     priority=None,
-    # )
+    _append_proc_mapping(
+        mapping=base_processors,
+        file_exts=[
+            FileExtension.pdf,
+            FileExtension.docx,
+            FileExtension.doc,
+            FileExtension.pptx,
+            FileExtension.xls,
+            FileExtension.xlsx,
+            FileExtension.csv,
+            FileExtension.epub,
+            FileExtension.bib,
+            FileExtension.odt,
+            FileExtension.html,
+            FileExtension.py,
+            FileExtension.markdown,
+            FileExtension.md,
+            FileExtension.mdx,
+            FileExtension.ipynb,
+        ],
+        cls_mod="quivr_core.processor.implementations.megaparse_processor.MegaparseProcessor",
+        errtxt=f"can't import MegaparseProcessor. Please install quivr-core[{ext_str}] to access MegaparseProcessor",
+        priority=None,
+    )
     return base_processors
 
 
@@ -181,7 +202,7 @@ def register_processor(
             if all(proc_cls != proc.cls_mod for proc in known_processors[file_ext]):
                 _append_proc_mapping(
                     known_processors,
-                    file_ext=file_ext,
+                    file_exts=[file_ext],
                     cls_mod=proc_cls,
                     errtxt=errtxt
                     or f"{proc_cls} import failed for processor of {file_ext}",

examples/simple_question_megaparse.py

@@ -0,0 +1,44 @@
+import os
+
+from langchain_openai import ChatOpenAI, OpenAIEmbeddings
+from quivr_core import Brain
+from quivr_core.llm.llm_endpoint import LLMEndpoint
+from quivr_core.rag.entities.config import LLMEndpointConfig
+from rich.console import Console
+from rich.panel import Panel
+from rich.prompt import Prompt
+
+if __name__ == "__main__":
+    brain = Brain.from_files(
+        name="test_brain",
+        file_paths=["./tests/processor/docx/demo.docx"],
+        llm=LLMEndpoint(
+            llm_config=LLMEndpointConfig(model="gpt-4o"),
+            llm=ChatOpenAI(model="gpt-4o", api_key=str(os.getenv("OPENAI_API_KEY"))),
+        ),
+    )
+    embedder = embeddings = OpenAIEmbeddings(
+        model="text-embedding-3-large",
+    )
+    # Check brain info
+    brain.print_info()
+
+    console = Console()
+    console.print(Panel.fit("Ask your brain !", style="bold magenta"))
+
+    while True:
+        # Get user input
+        question = Prompt.ask("[bold cyan]Question[/bold cyan]")
+
+        # Check if user wants to exit
+        if question.lower() == "exit":
+            console.print(Panel("Goodbye!", style="bold yellow"))
+            break
+
+        answer = brain.ask(question)
+        # Print the answer with typing effect
+        console.print(f"[bold green]Quivr Assistant[/bold green]: {answer.answer}")
+
+        console.print("-" * console.width)
+
+    brain.print_info()