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import requests
import logging
import ftfy
from langchain_community.document_loaders import (
BSHTMLLoader,
CSVLoader,
Docx2txtLoader,
OutlookMessageLoader,
PyPDFLoader,
TextLoader,
UnstructuredEPubLoader,
UnstructuredExcelLoader,
UnstructuredMarkdownLoader,
UnstructuredPowerPointLoader,
UnstructuredRSTLoader,
UnstructuredXMLLoader,
YoutubeLoader,
)
from langchain_core.documents import Document
from open_webui.env import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["RAG"])
known_source_ext = [
"go",
"py",
"java",
"sh",
"bat",
"ps1",
"cmd",
"js",
"ts",
"css",
"cpp",
"hpp",
"h",
"c",
"cs",
"sql",
"log",
"ini",
"pl",
"pm",
"r",
"dart",
"dockerfile",
"env",
"php",
"hs",
"hsc",
"lua",
"nginxconf",
"conf",
"m",
"mm",
"plsql",
"perl",
"rb",
"rs",
"db2",
"scala",
"bash",
"swift",
"vue",
"svelte",
"msg",
"ex",
"exs",
"erl",
"tsx",
"jsx",
"hs",
"lhs",
]
class TikaLoader:
def __init__(self, url, file_path, mime_type=None):
self.url = url
self.file_path = file_path
self.mime_type = mime_type
def load(self) -> list[Document]:
with open(self.file_path, "rb") as f:
data = f.read()
if self.mime_type is not None:
headers = {"Content-Type": self.mime_type}
else:
headers = {}
endpoint = self.url
if not endpoint.endswith("/"):
endpoint += "/"
endpoint += "tika/text"
r = requests.put(endpoint, data=data, headers=headers)
if r.ok:
raw_metadata = r.json()
text = raw_metadata.get("X-TIKA:content", "<No text content found>")
if "Content-Type" in raw_metadata:
headers["Content-Type"] = raw_metadata["Content-Type"]
log.info("Tika extracted text: %s", text)
return [Document(page_content=text, metadata=headers)]
else:
raise Exception(f"Error calling Tika: {r.reason}")
class Loader:
def __init__(self, engine: str = "", **kwargs):
self.engine = engine
self.kwargs = kwargs
def load(
self, filename: str, file_content_type: str, file_path: str
) -> list[Document]:
loader = self._get_loader(filename, file_content_type, file_path)
docs = loader.load()
return [
Document(
page_content=ftfy.fix_text(doc.page_content), metadata=doc.metadata
)
for doc in docs
]
def _get_loader(self, filename: str, file_content_type: str, file_path: str):
file_ext = filename.split(".")[-1].lower()
if self.engine == "tika" and self.kwargs.get("TIKA_SERVER_URL"):
if file_ext in known_source_ext or (
file_content_type and file_content_type.find("text/") >= 0
):
loader = TextLoader(file_path, autodetect_encoding=True)
else:
loader = TikaLoader(
url=self.kwargs.get("TIKA_SERVER_URL"),
file_path=file_path,
mime_type=file_content_type,
)
else:
if file_ext == "pdf":
loader = PyPDFLoader(
file_path, extract_images=self.kwargs.get("PDF_EXTRACT_IMAGES")
)
elif file_ext == "csv":
loader = CSVLoader(file_path)
elif file_ext == "rst":
loader = UnstructuredRSTLoader(file_path, mode="elements")
elif file_ext == "xml":
loader = UnstructuredXMLLoader(file_path)
elif file_ext in ["htm", "html"]:
loader = BSHTMLLoader(file_path, open_encoding="unicode_escape")
elif file_ext == "md":
loader = UnstructuredMarkdownLoader(file_path)
elif file_content_type == "application/epub+zip":
loader = UnstructuredEPubLoader(file_path)
elif (
file_content_type
== "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
or file_ext == "docx"
):
loader = Docx2txtLoader(file_path)
elif file_content_type in [
"application/vnd.ms-excel",
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
] or file_ext in ["xls", "xlsx"]:
loader = UnstructuredExcelLoader(file_path)
elif file_content_type in [
"application/vnd.ms-powerpoint",
"application/vnd.openxmlformats-officedocument.presentationml.presentation",
] or file_ext in ["ppt", "pptx"]:
loader = UnstructuredPowerPointLoader(file_path)
elif file_ext == "msg":
loader = OutlookMessageLoader(file_path)
elif file_ext in known_source_ext or (
file_content_type and file_content_type.find("text/") >= 0
):
loader = TextLoader(file_path, autodetect_encoding=True)
else:
loader = TextLoader(file_path, autodetect_encoding=True)
return loader
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