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@@ -93,6 +93,8 @@ from config import (
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SRC_LOG_LEVELS,
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UPLOAD_DIR,
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DOCS_DIR,
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+ DOCUMENT_USE_TIKA,
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+ TIKA_SERVER_URL,
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RAG_TOP_K,
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RAG_RELEVANCE_THRESHOLD,
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RAG_EMBEDDING_ENGINE,
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@@ -985,6 +987,41 @@ def store_docs_in_vector_db(docs, collection_name, overwrite: bool = False) -> b
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return False
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+class TikaLoader:
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+ def __init__(self, file_path, mime_type=None):
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+ self.file_path = file_path
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+ self.mime_type = mime_type
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+
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+ def load(self) -> List[Document]:
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+ with (open(self.file_path, "rb") as f):
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+ data = f.read()
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+
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+ if self.mime_type is not None:
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+ headers = {"Content-Type": self.mime_type}
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+ else:
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+ headers = {}
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+
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+ endpoint = str(TIKA_SERVER_URL)
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+ if not endpoint.endswith("/"):
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+ endpoint += "/"
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+ endpoint += "tika/text"
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+
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+ r = requests.put(endpoint, data=data, headers=headers)
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+
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+ if r.ok:
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+ raw_metadata = r.json()
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+ text = raw_metadata.get("X-TIKA:content", "<No text content found>")
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+
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+ if "Content-Type" in raw_metadata:
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+ headers["Content-Type"] = raw_metadata["Content-Type"]
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+
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+ log.info("Tika extracted text: %s", text)
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+
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+ return [Document(page_content=text, metadata=headers)]
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+ else:
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+ raise Exception(f"Error calling Tika: {r.reason}")
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+
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+
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def get_loader(filename: str, file_content_type: str, file_path: str):
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file_ext = filename.split(".")[-1].lower()
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known_type = True
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@@ -1035,47 +1072,57 @@ def get_loader(filename: str, file_content_type: str, file_path: str):
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"msg",
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]
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- if file_ext == "pdf":
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- loader = PyPDFLoader(
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- file_path, extract_images=app.state.config.PDF_EXTRACT_IMAGES
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- )
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- elif file_ext == "csv":
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- loader = CSVLoader(file_path)
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- elif file_ext == "rst":
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- loader = UnstructuredRSTLoader(file_path, mode="elements")
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- elif file_ext == "xml":
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- loader = UnstructuredXMLLoader(file_path)
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- elif file_ext in ["htm", "html"]:
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- loader = BSHTMLLoader(file_path, open_encoding="unicode_escape")
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- elif file_ext == "md":
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- loader = UnstructuredMarkdownLoader(file_path)
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- elif file_content_type == "application/epub+zip":
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- loader = UnstructuredEPubLoader(file_path)
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- elif (
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- file_content_type
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- == "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
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- or file_ext in ["doc", "docx"]
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- ):
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- loader = Docx2txtLoader(file_path)
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- elif file_content_type in [
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- "application/vnd.ms-excel",
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- "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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- ] or file_ext in ["xls", "xlsx"]:
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- loader = UnstructuredExcelLoader(file_path)
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- elif file_content_type in [
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- "application/vnd.ms-powerpoint",
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- "application/vnd.openxmlformats-officedocument.presentationml.presentation",
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- ] or file_ext in ["ppt", "pptx"]:
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- loader = UnstructuredPowerPointLoader(file_path)
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- elif file_ext == "msg":
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- loader = OutlookMessageLoader(file_path)
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- elif file_ext in known_source_ext or (
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- file_content_type and file_content_type.find("text/") >= 0
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- ):
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- loader = TextLoader(file_path, autodetect_encoding=True)
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+ log.warning("Use tika: %s, server URL: %s", DOCUMENT_USE_TIKA, TIKA_SERVER_URL)
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+
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+ if DOCUMENT_USE_TIKA and TIKA_SERVER_URL:
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+ if file_ext in known_source_ext or (
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+ file_content_type and file_content_type.find("text/") >= 0
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+ ):
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+ loader = TextLoader(file_path, autodetect_encoding=True)
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+ else:
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+ loader = TikaLoader(file_path, file_content_type)
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else:
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- loader = TextLoader(file_path, autodetect_encoding=True)
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- known_type = False
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+ if file_ext == "pdf":
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+ loader = PyPDFLoader(
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+ file_path, extract_images=app.state.config.PDF_EXTRACT_IMAGES
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+ )
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+ elif file_ext == "csv":
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+ loader = CSVLoader(file_path)
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+ elif file_ext == "rst":
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+ loader = UnstructuredRSTLoader(file_path, mode="elements")
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+ elif file_ext == "xml":
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+ loader = UnstructuredXMLLoader(file_path)
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+ elif file_ext in ["htm", "html"]:
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+ loader = BSHTMLLoader(file_path, open_encoding="unicode_escape")
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+ elif file_ext == "md":
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+ loader = UnstructuredMarkdownLoader(file_path)
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+ elif file_content_type == "application/epub+zip":
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+ loader = UnstructuredEPubLoader(file_path)
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+ elif (
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+ file_content_type
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+ == "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
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+ or file_ext in ["doc", "docx"]
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+ ):
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+ loader = Docx2txtLoader(file_path)
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+ elif file_content_type in [
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+ "application/vnd.ms-excel",
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+ "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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+ ] or file_ext in ["xls", "xlsx"]:
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+ loader = UnstructuredExcelLoader(file_path)
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+ elif file_content_type in [
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+ "application/vnd.ms-powerpoint",
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+ "application/vnd.openxmlformats-officedocument.presentationml.presentation",
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+ ] or file_ext in ["ppt", "pptx"]:
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+ loader = UnstructuredPowerPointLoader(file_path)
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+ elif file_ext == "msg":
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+ loader = OutlookMessageLoader(file_path)
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+ elif file_ext in known_source_ext or (
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+ file_content_type and file_content_type.find("text/") >= 0
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+ ):
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+ loader = TextLoader(file_path, autodetect_encoding=True)
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+ else:
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+ loader = TextLoader(file_path, autodetect_encoding=True)
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+ known_type = False
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return loader, known_type
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