quivr/backend/packages/files/processors.py
Zineb El Bachiri f48dab4a7d
refactor: to modules (#1754)
# Description

Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.

## Checklist before requesting a review

Please delete options that are not relevant.

- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged

## Screenshots (if appropriate):
2023-11-30 22:29:28 +01:00

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from modules.brain.service.brain_service import BrainService
from .parsers.audio import process_audio
from .parsers.code_python import process_python
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.telegram import process_telegram
from .parsers.txt import process_txt
from .parsers.xlsx import process_xlsx
file_processors = {
".txt": process_txt,
".csv": process_csv,
".md": process_markdown,
".markdown": process_markdown,
".telegram": process_telegram,
".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,
".xlsx": process_xlsx,
".xls": process_xlsx,
".epub": process_epub,
".ipynb": process_ipnyb,
".py": process_python,
}
def create_response(message, type):
return {"message": message, "type": type}
brain_service = BrainService()
# TODO: Move filter_file to a file service to avoid circular imports from models/files.py for File class
async def filter_file(
file,
brain_id,
original_file_name=None,
):
await file.compute_file_sha1()
file_exists = file.file_already_exists()
file_exists_in_brain = file.file_already_exists_in_brain(brain_id)
using_file_name = original_file_name or file.file.filename if file.file else ""
brain = brain_service.get_brain_by_id(brain_id)
if brain is None:
raise Exception("It seems like you're uploading knowledge to an unknown brain.")
if file_exists_in_brain:
return create_response(
f"🤔 {using_file_name} already exists in brain {brain.name}.", # pyright: ignore reportPrivateUsage=none
"warning",
)
elif file.file_is_empty():
return create_response(
f"{original_file_name} is empty.", # pyright: ignore reportPrivateUsage=none
"error", # pyright: ignore reportPrivateUsage=none
)
elif file_exists:
file.link_file_to_brain(brain_id)
return create_response(
f"{using_file_name} has been uploaded to brain {brain.name}.", # pyright: ignore reportPrivateUsage=none
"success",
)
if file.file_extension in file_processors:
try:
result = await file_processors[file.file_extension](
file=file,
brain_id=brain_id,
)
if result is None or result == 0:
return create_response(
f" {using_file_name} has been uploaded to brain. There might have been an error while reading it, please make sure the file is not illformed or just an image", # pyright: ignore reportPrivateUsage=none
"warning",
)
return create_response(
f"{using_file_name} has been uploaded to brain {brain.name} in {result} chunks", # 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 {using_file_name}.", # pyright: ignore reportPrivateUsage=none
"error",
)
return create_response(
f"{using_file_name} is not supported.", # pyright: ignore reportPrivateUsage=none
"error",
)