mirror of
https://github.com/QuivrHQ/quivr.git
synced 2024-12-16 01:55:15 +03:00
711e9fb8c9
* use function for get_documents_vector_store * use function for get_embeddings * use function for get_supabase_client * use function for get_supabase_db * delete lasts common_dependencies
94 lines
3.0 KiB
Python
94 lines
3.0 KiB
Python
from models.brains import Brain
|
|
from models.files import File
|
|
from parsers.audio import process_audio
|
|
from parsers.csv import process_csv
|
|
from parsers.docx import process_docx
|
|
from parsers.epub import process_epub
|
|
from parsers.html import process_html
|
|
from parsers.markdown import process_markdown
|
|
from parsers.notebook import process_ipnyb
|
|
from parsers.odt import process_odt
|
|
from parsers.pdf import process_pdf
|
|
from parsers.powerpoint import process_powerpoint
|
|
from parsers.txt import process_txt
|
|
|
|
file_processors = {
|
|
".txt": process_txt,
|
|
".csv": process_csv,
|
|
".md": process_markdown,
|
|
".markdown": process_markdown,
|
|
".m4a": process_audio,
|
|
".mp3": process_audio,
|
|
".webm": process_audio,
|
|
".mp4": process_audio,
|
|
".mpga": process_audio,
|
|
".wav": process_audio,
|
|
".mpeg": process_audio,
|
|
".pdf": process_pdf,
|
|
".html": process_html,
|
|
".pptx": process_powerpoint,
|
|
".docx": process_docx,
|
|
".odt": process_odt,
|
|
".epub": process_epub,
|
|
".ipynb": process_ipnyb,
|
|
}
|
|
|
|
|
|
def create_response(message, type):
|
|
return {"message": message, "type": type}
|
|
|
|
|
|
async def filter_file(
|
|
file: File,
|
|
enable_summarization: bool,
|
|
brain_id,
|
|
openai_api_key,
|
|
):
|
|
await file.compute_file_sha1()
|
|
|
|
print("file sha1", file.file_sha1)
|
|
file_exists = file.file_already_exists()
|
|
file_exists_in_brain = file.file_already_exists_in_brain(brain_id)
|
|
|
|
if file_exists_in_brain:
|
|
return create_response(
|
|
f"🤔 {file.file.filename} already exists in brain {brain_id}.", # pyright: ignore reportPrivateUsage=none
|
|
"warning",
|
|
)
|
|
elif file.file_is_empty():
|
|
return create_response(
|
|
f"❌ {file.file.filename} is empty.", # pyright: ignore reportPrivateUsage=none
|
|
"error", # pyright: ignore reportPrivateUsage=none
|
|
)
|
|
elif file_exists:
|
|
file.link_file_to_brain(brain=Brain(id=brain_id))
|
|
return create_response(
|
|
f"✅ {file.file.filename} has been uploaded to brain {brain_id}.", # pyright: ignore reportPrivateUsage=none
|
|
"success",
|
|
)
|
|
|
|
if file.file_extension in file_processors:
|
|
try:
|
|
await file_processors[file.file_extension](
|
|
file=file,
|
|
enable_summarization=enable_summarization,
|
|
brain_id=brain_id,
|
|
user_openai_api_key=openai_api_key,
|
|
)
|
|
return create_response(
|
|
f"✅ {file.file.filename} has been uploaded to brain {brain_id}.", # pyright: ignore reportPrivateUsage=none
|
|
"success",
|
|
)
|
|
except Exception as e:
|
|
# Add more specific exceptions as needed.
|
|
print(f"Error processing file: {e}")
|
|
return create_response(
|
|
f"⚠️ An error occurred while processing {file.file.filename}.", # pyright: ignore reportPrivateUsage=none
|
|
"error",
|
|
)
|
|
|
|
return create_response(
|
|
f"❌ {file.file.filename} is not supported.", # pyright: ignore reportPrivateUsage=none
|
|
"error",
|
|
)
|