mirror of
https://github.com/arc53/DocsGPT
synced 2024-11-03 23:15:37 +00:00
af20c7298a
Ingest with a CLI
65 lines
2.8 KiB
Python
65 lines
2.8 KiB
Python
import sys
|
|
import nltk
|
|
import dotenv
|
|
import typer
|
|
|
|
from typing import List, Optional
|
|
|
|
from langchain.text_splitter import RecursiveCharacterTextSplitter
|
|
|
|
from parser.file.bulk import SimpleDirectoryReader
|
|
from parser.schema.base import Document
|
|
from parser.open_ai_func import call_openai_api, get_user_permission
|
|
|
|
dotenv.load_dotenv()
|
|
|
|
app = typer.Typer(add_completion=False)
|
|
|
|
nltk.download('punkt', quiet=True)
|
|
nltk.download('averaged_perceptron_tagger', quiet=True)
|
|
|
|
#Splits all files in specified folder to documents
|
|
@app.command()
|
|
def ingest(directory: Optional[str] = typer.Option("inputs",
|
|
help="Path to the directory for index creation."),
|
|
files: Optional[List[str]] = typer.Option(None,
|
|
help="""File paths to use (Optional; overrides directory).
|
|
E.g. --files inputs/1.md --files inputs/2.md"""),
|
|
recursive: Optional[bool] = typer.Option(True,
|
|
help="Whether to recursively search in subdirectories."),
|
|
limit: Optional[int] = typer.Option(None,
|
|
help="Maximum number of files to read."),
|
|
formats: Optional[List[str]] = typer.Option([".rst", ".md"],
|
|
help="""List of required extensions (list with .)
|
|
Currently supported: .rst, .md, .pdf, .docx, .csv, .epub"""),
|
|
exclude: Optional[bool] = typer.Option(True, help="Whether to exclude hidden files (dotfiles).")):
|
|
|
|
"""
|
|
Creates index from specified location or files.
|
|
By default /inputs folder is used, .rst and .md are parsed.
|
|
"""
|
|
raw_docs = SimpleDirectoryReader(input_dir=directory, input_files=files, recursive=recursive,
|
|
required_exts=formats, num_files_limit=limit,
|
|
exclude_hidden=exclude).load_data()
|
|
raw_docs = [Document.to_langchain_format(raw_doc) for raw_doc in raw_docs]
|
|
print(raw_docs)
|
|
# Here we split the documents, as needed, into smaller chunks.
|
|
# We do this due to the context limits of the LLMs.
|
|
text_splitter = RecursiveCharacterTextSplitter()
|
|
docs = text_splitter.split_documents(raw_docs)
|
|
|
|
# Here we check for command line arguments for bot calls.
|
|
# If no argument exists or the permission_bypass_flag argument is not '-y',
|
|
# user permission is requested to call the API.
|
|
if len(sys.argv) > 1:
|
|
permission_bypass_flag = sys.argv[1]
|
|
if permission_bypass_flag == '-y':
|
|
call_openai_api(docs)
|
|
else:
|
|
get_user_permission(docs)
|
|
else:
|
|
get_user_permission(docs)
|
|
|
|
if __name__ == "__main__":
|
|
app()
|