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from toolbox import update_ui
from toolbox import CatchException, report_execption
fast_debug = True
class PaperFileGroup():
def __init__(self):
self.file_paths = []
self.file_contents = []
self.sp_file_contents = []
self.sp_file_index = []
self.sp_file_tag = []
# count_token
from request_llm.bridge_all import model_info
enc = model_info["gpt-3.5-turbo"]['tokenizer']
def get_token_num(txt): return len(
enc.encode(txt, disallowed_special=()))
self.get_token_num = get_token_num
def run_file_split(self, max_token_limit=1900):
"""
将长文本分离开来
"""
for index, file_content in enumerate(self.file_contents):
if self.get_token_num(file_content) < max_token_limit:
self.sp_file_contents.append(file_content)
self.sp_file_index.append(index)
self.sp_file_tag.append(self.file_paths[index])
else:
from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
segments = breakdown_txt_to_satisfy_token_limit_for_pdf(
file_content, self.get_token_num, max_token_limit)
for j, segment in enumerate(segments):
self.sp_file_contents.append(segment)
self.sp_file_index.append(index)
self.sp_file_tag.append(
self.file_paths[index] + f".part-{j}.txt")
def parseNotebook(filename, enable_markdown=1):
import json
CodeBlocks = []
with open(filename, 'r', encoding='utf-8', errors='replace') as f:
notebook = json.load(f)
for cell in notebook['cells']:
if cell['cell_type'] == 'code' and cell['source']:
# remove blank lines
cell['source'] = [line for line in cell['source'] if line.strip()
!= '']
CodeBlocks.append("".join(cell['source']))
elif enable_markdown and cell['cell_type'] == 'markdown' and cell['source']:
cell['source'] = [line for line in cell['source'] if line.strip()
!= '']
CodeBlocks.append("Markdown:"+"".join(cell['source']))
Code = ""
for idx, code in enumerate(CodeBlocks):
Code += f"This is {idx+1}th code block: \n"
Code += code+"\n"
return Code
def ipynb解释(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
pfg = PaperFileGroup()
print(file_manifest)
for fp in file_manifest:
file_content = parseNotebook(fp, enable_markdown=1)
pfg.file_paths.append(fp)
pfg.file_contents.append(file_content)
# <-------- 拆分过长的IPynb文件 ---------->
pfg.run_file_split(max_token_limit=1024)
n_split = len(pfg.sp_file_contents)
inputs_array = [f"This is a Jupyter Notebook file, tell me about Each Block in Chinese. Focus Just On Code." +
f"If a block starts with `Markdown` which means it's a markdown block in ipynbipynb. " +
f"Start a new line for a block and block num use Chinese." +
f"\n\n{frag}" for frag in pfg.sp_file_contents]
inputs_show_user_array = [f"{f}的分析如下" for f in pfg.sp_file_tag]
sys_prompt_array = ["You are a professional programmer."] * n_split
gpt_response_collection = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
inputs_array=inputs_array,
inputs_show_user_array=inputs_show_user_array,
llm_kwargs=llm_kwargs,
chatbot=chatbot,
history_array=[[""] for _ in range(n_split)],
sys_prompt_array=sys_prompt_array,
# max_workers=5, # OpenAI所允许的最大并行过载
scroller_max_len=80
)
# <-------- 整理结果，退出 ---------->
block_result = " \n".join(gpt_response_collection)
chatbot.append(("解析的结果如下", block_result))
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
@CatchException
def 解析ipynb文件(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
chatbot.append([
"函数插件功能？",
"对IPynb文件进行解析。Contributor: codycjy."])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
history = [] # 清空历史
import glob
import os
if os.path.exists(txt):
project_folder = txt
else:
if txt == "":
txt = '空空如也的输入栏'
report_execption(chatbot, history,
a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
return
if txt.endswith('.ipynb'):
file_manifest = [txt]
else:
file_manifest = [f for f in glob.glob(
f'{project_folder}/**/*.ipynb', recursive=True)]
if len(file_manifest) == 0:
report_execption(chatbot, history,
a=f"解析项目: {txt}", b=f"找不到任何.ipynb文件: {txt}")
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
return
yield from ipynb解释(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, )
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