Comments (3)
Hello thanks for the feedback π.
I didn't really thought yet about GridFS use with odmantic but maybe this issue is the opportunity for starting documenting this π .
Basically, I think it should be quite easy to use GridFS externally.
First, you'll probably need to pass a motor client instance to the AIOEngine so you'll be able to reuse it later for accessing the files.
You could then add ObjectId
field referencing your files in Odmantic models.
Finally you'll be able to query the files from the motor client directly.
I would really like to integrate GridFS Files to odmantic but I think it should come with Lazy loading and maybe streaming capabilities. This will probably be a good time to address this once lazy references will be handled π
from odmantic.
Hi, thanks for your quick answer. Adding object Id(s) to reference files could be a good way to start.
Lazy loading is already provided by motor AFAIK and streaming shouldn't be very difficult. I was thinking about a thin layer for searching / getting files and accessing streams, something like (to be consistent with existing API):
...
from fastapi.responses import StreamingResponse
from odmantic import AIOEngine, File
engine = AIOEngine()
@app.get("/filestreams/", name: Optional[str]):
file = await engine.find_one(File, File.name == "myfile.pdf")
return StreamingResponse(await file.open_download_stream(), media_type=file. content_type)
so odmantic.File would really be a Model like class with some extras. It seems that the attributes are fixed anyway (name/filename, content_type, length, md5. upload_date, closed, chunksize, metadata) but taking into account AsyncIOMotorGridFSBucket , AsyncIOMotorGridIn, AsyncIOMotorGridOut there are a lot of methods (delete, rename, open_download_stream, open_upload_stream, download_to_stream, upload_from_stream, abort, close, set, write, writelines, read, readline, close).
Regards.
from odmantic.
Any news about this? I am really interested in using ODMantic with GridFS support.
from odmantic.
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