dropbox-langchain 0.1

A Dropbox langchain integration

Canvas langchain document loader

Features:

Indexes Dropbox Files

The following file types are supported: md htm html docx xls xlsx pdf rtf txt

(doc support would require libreoffice)

Running locally

You can do the install as described below, or build/run the provider dockerfile.

Docker

Edit dropbox-test.py, fill in the correct auth and one of folder_path, file_path, or file_paths.

Run (this also builds docker):

docker run -it $(docker build -q .)

Installation

Install dependencies:

pip install -r requirements.txt

Usage example:

To use a refresh token, pass in api_key along with api_secret

from dropbox_files import DropboxLoader

auth = {
  "access": "ACCESS_TOKEN_FROM_OAUTH",
  "refresh": "REFRESH_TOKEN",
  "id_token": "ID_TOKEN_NOT_USED",
  "expire": "EXPIRE_TIMESTAMP"
}

loader = DropboxLoader(
	auth = auth,
	folder_path = "/PATH_TO_FOLDER_OR_EMPTY_STRING",
	# file_path = "/PATH/TO_FILE/File.extension",
	# file_paths = [
	# 	"/PATH/TO_FILE/File 1.extension",
	# 	"/PATH/TO_FILE/File 2.extension"
	# ],
	# api_key = "API_KEY",
	# api_secret = "API_SECRET",
)

documents = loader.load()

print("\nDocuments:\n")
print(documents)

print("\nInvalid files:\n")
print(loader.invalid_files)
print("")

print("\nErrors:\n")
print(loader.errors)
print("")

If errors are present, loader.errors will contain one list element per error. It will consist of an error message (key named message) and if the error pertains to a folder issue, a key named folder, for files a file key. Right now the library only catches Dropbox API specific exceptions.