From b6c02c850ae6f5ad6cda8c4c93b3145f2c5df894 Mon Sep 17 00:00:00 2001 From: Pavel Date: Tue, 14 Mar 2023 13:32:29 +0400 Subject: [PATCH] token ingeest --- scripts/ingest.py | 73 ++++-------------------------- scripts/outputs/v1/index.pkl | Bin 0 -> 2986996 bytes scripts/parser/file/rst_parser.py | 13 ------ scripts/parser/token_func.py | 70 ++++++++++++++++++++++++++++ scripts/test_ingestion.py | 2 +- 5 files changed, 80 insertions(+), 78 deletions(-) create mode 100644 scripts/outputs/v1/index.pkl create mode 100644 scripts/parser/token_func.py diff --git a/scripts/ingest.py b/scripts/ingest.py index 66af137c..19c6cf5f 100644 --- a/scripts/ingest.py +++ b/scripts/ingest.py @@ -1,20 +1,16 @@ import os -import re import sys import nltk import dotenv import typer -import ast -import tiktoken -from math import ceil - from collections import defaultdict from pathlib import Path -from typing import List, Optional, Tuple +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 @@ -22,6 +18,7 @@ from parser.py2doc import transform_to_docs from parser.py2doc import extract_functions_and_classes as extract_py from parser.js2doc import extract_functions_and_classes as extract_js from parser.java2doc import extract_functions_and_classes as extract_java +from parser.token_func import group_split dotenv.load_dotenv() @@ -32,57 +29,6 @@ nltk.download('punkt', quiet=True) nltk.download('averaged_perceptron_tagger', quiet=True) -def group_documents(documents: List[Document], min_tokens: int = 50, max_tokens: int = 2000) -> List[Document]: - groups = [] - current_group = None - - for doc in documents: - doc_len = len(tiktoken.get_encoding("cl100k_base").encode(doc.text)) - - if current_group is None: - current_group = Document(text=doc.text, doc_id=doc.doc_id, embedding=doc.embedding, - extra_info=doc.extra_info) - elif len(tiktoken.get_encoding("cl100k_base").encode(current_group.text)) + doc_len < max_tokens and doc_len >= min_tokens: - current_group.text += " " + doc.text - else: - groups.append(current_group) - current_group = Document(text=doc.text, doc_id=doc.doc_id, embedding=doc.embedding, - extra_info=doc.extra_info) - - if current_group is not None: - groups.append(current_group) - - return groups - - -def separate_header_and_body(text): - header_pattern = r"^(.*?\n){3}" - match = re.match(header_pattern, text) - header = match.group(0) - body = text[len(header):] - return header, body - -def split_documents(documents: List[Document], max_tokens: int = 2000) -> List[Document]: - new_documents = [] - for doc in documents: - token_length = len(tiktoken.get_encoding("cl100k_base").encode(doc.text)) - print(token_length) - if token_length <= max_tokens: - new_documents.append(doc) - else: - header, body = separate_header_and_body(doc.text) - num_body_parts = ceil(token_length / max_tokens) - part_length = ceil(len(body) / num_body_parts) - body_parts = [body[i:i + part_length] for i in range(0, len(body), part_length)] - for i, body_part in enumerate(body_parts): - new_doc = Document(text=header + body_part.strip(), - doc_id=f"{doc.doc_id}-{i}", - embedding=doc.embedding, - extra_info=doc.extra_info) - new_documents.append(new_doc) - return new_documents - - #Splits all files in specified folder to documents @app.command() def ingest(yes: bool = typer.Option(False, "-y", "--yes", prompt=False, @@ -111,16 +57,15 @@ def ingest(yes: bool = typer.Option(False, "-y", "--yes", prompt=False, raw_docs = SimpleDirectoryReader(input_dir=directory, input_files=file, recursive=recursive, required_exts=formats, num_files_limit=limit, exclude_hidden=exclude).load_data() + #Checking min_tokens and max_tokens + raw_docs = group_split(documents=raw_docs) - raw_docs = group_documents(raw_docs) - raw_docs = split_documents(raw_docs) - - print(raw_docs) - raw_docs = [Document.to_langchain_format(raw_doc) for raw_doc in raw_docs] + docs = [Document.to_langchain_format(raw_doc) for raw_doc in 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) + + # 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 yes is not True, then the diff --git a/scripts/outputs/v1/index.pkl b/scripts/outputs/v1/index.pkl new file mode 100644 index 0000000000000000000000000000000000000000..d98caa79947f8b511f8e72a331a298589453ed50 GIT binary patch literal 2986996 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