491 lines
23 KiB
Python
491 lines
23 KiB
Python
import streamlit as st
|
||
from streamlit_chatbox import *
|
||
from typing import List, Dict
|
||
from datetime import datetime
|
||
from random import randint
|
||
from .utils import *
|
||
|
||
from dev_opsgpt.utils import *
|
||
from dev_opsgpt.tools import TOOL_SETS
|
||
from dev_opsgpt.chat.search_chat import SEARCH_ENGINES
|
||
from dev_opsgpt.connector import PHASE_LIST, PHASE_CONFIGS
|
||
|
||
chat_box = ChatBox(
|
||
assistant_avatar="../sources/imgs/devops-chatbot2.png"
|
||
)
|
||
|
||
GLOBAL_EXE_CODE_TEXT = ""
|
||
|
||
|
||
def get_messages_history(history_len: int) -> List[Dict]:
|
||
def filter(msg):
|
||
'''
|
||
针对当前简单文本对话，只返回每条消息的第一个element的内容
|
||
'''
|
||
content = [x._content for x in msg["elements"] if x._output_method in ["markdown", "text"]]
|
||
return {
|
||
"role": msg["role"],
|
||
"content": content[0] if content else "",
|
||
}
|
||
|
||
history = chat_box.filter_history(100000, filter) # workaround before upgrading streamlit-chatbox.
|
||
user_count = 0
|
||
i = 1
|
||
for i in range(1, len(history) + 1):
|
||
if history[-i]["role"] == "user":
|
||
user_count += 1
|
||
if user_count >= history_len:
|
||
break
|
||
return history[-i:]
|
||
|
||
|
||
def dialogue_page(api: ApiRequest):
|
||
global GLOBAL_EXE_CODE_TEXT
|
||
chat_box.init_session()
|
||
|
||
with st.sidebar:
|
||
# TODO: 对话模型与会话绑定
|
||
def on_mode_change():
|
||
mode = st.session_state.dialogue_mode
|
||
text = f"已切换到 {mode} 模式。"
|
||
if mode == "知识库问答":
|
||
cur_kb = st.session_state.get("selected_kb")
|
||
if cur_kb:
|
||
text = f"{text} 当前知识库： `{cur_kb}`。"
|
||
st.toast(text)
|
||
# sac.alert(text, description="descp", type="success", closable=True, banner=True)
|
||
|
||
dialogue_mode = st.selectbox("请选择对话模式",
|
||
["LLM 对话",
|
||
"知识库问答",
|
||
"代码知识库问答",
|
||
"搜索引擎问答",
|
||
"工具问答",
|
||
"数据分析",
|
||
"Agent问答"
|
||
],
|
||
on_change=on_mode_change,
|
||
key="dialogue_mode",
|
||
)
|
||
history_len = st.number_input("历史对话轮数：", 0, 10, 3)
|
||
|
||
# todo: support history len
|
||
|
||
def on_kb_change():
|
||
st.toast(f"已加载知识库： {st.session_state.selected_kb}")
|
||
|
||
def on_cb_change():
|
||
st.toast(f"已加载代码知识库： {st.session_state.selected_cb}")
|
||
|
||
not_agent_qa = True
|
||
if dialogue_mode == "知识库问答":
|
||
with st.expander("知识库配置", True):
|
||
kb_list = api.list_knowledge_bases(no_remote_api=True)
|
||
selected_kb = st.selectbox(
|
||
"请选择知识库：",
|
||
kb_list,
|
||
on_change=on_kb_change,
|
||
key="selected_kb",
|
||
)
|
||
kb_top_k = st.number_input("匹配知识条数：", 1, 20, 3)
|
||
score_threshold = st.number_input("知识匹配分数阈值：", 0.0, float(SCORE_THRESHOLD), float(SCORE_THRESHOLD), float(SCORE_THRESHOLD//100))
|
||
# chunk_content = st.checkbox("关联上下文", False, disabled=True)
|
||
# chunk_size = st.slider("关联长度：", 0, 500, 250, disabled=True)
|
||
elif dialogue_mode == '代码知识库问答':
|
||
with st.expander('代码知识库配置', True):
|
||
cb_list = api.list_cb(no_remote_api=True)
|
||
logger.debug('codebase_list={}'.format(cb_list))
|
||
selected_cb = st.selectbox(
|
||
"请选择代码知识库：",
|
||
cb_list,
|
||
on_change=on_cb_change,
|
||
key="selected_cb",
|
||
)
|
||
st.toast(f"已加载代码知识库： {st.session_state.selected_cb}")
|
||
cb_code_limit = st.number_input("匹配代码条数：", 1, 20, 1)
|
||
elif dialogue_mode == "搜索引擎问答":
|
||
with st.expander("搜索引擎配置", True):
|
||
search_engine = st.selectbox("请选择搜索引擎", SEARCH_ENGINES.keys(), 0)
|
||
se_top_k = st.number_input("匹配搜索结果条数：", 1, 20, 3)
|
||
elif dialogue_mode == "工具问答":
|
||
with st.expander("工具军火库", True):
|
||
tool_selects = st.multiselect(
|
||
'请选择待使用的工具', TOOL_SETS, ["WeatherInfo"])
|
||
|
||
elif dialogue_mode == "数据分析":
|
||
with st.expander("沙盒文件管理", False):
|
||
def _upload(upload_file):
|
||
res = api.web_sd_upload(upload_file)
|
||
logger.debug(res)
|
||
if res["msg"]:
|
||
st.success("上文件传成功")
|
||
else:
|
||
st.toast("文件上传失败")
|
||
|
||
interpreter_file = st.file_uploader(
|
||
"上传沙盒文件",
|
||
[i for ls in LOADER2EXT_DICT.values() for i in ls],
|
||
accept_multiple_files=False,
|
||
key="interpreter_file",
|
||
)
|
||
|
||
if interpreter_file:
|
||
_upload(interpreter_file)
|
||
interpreter_file = None
|
||
#
|
||
files = api.web_sd_list_files()
|
||
files = files["data"]
|
||
download_file = st.selectbox("选择要处理文件", files,
|
||
key="download_file",)
|
||
|
||
cols = st.columns(2)
|
||
file_url, file_name = api.web_sd_download(download_file)
|
||
cols[0].download_button("点击下载", file_url, file_name)
|
||
if cols[1].button("点击删除", ):
|
||
api.web_sd_delete(download_file)
|
||
|
||
elif dialogue_mode == "Agent问答":
|
||
not_agent_qa = False
|
||
with st.expander("Phase管理", True):
|
||
choose_phase = st.selectbox(
|
||
'请选择待使用的执行链路', PHASE_LIST, 0)
|
||
|
||
is_detailed = st.toggle("返回明细的Agent交互", False)
|
||
tool_using_on = st.toggle("开启工具使用", PHASE_CONFIGS[choose_phase]["do_using_tool"])
|
||
tool_selects = []
|
||
if tool_using_on:
|
||
with st.expander("工具军火库", True):
|
||
tool_selects = st.multiselect(
|
||
'请选择待使用的工具', TOOL_SETS, ["WeatherInfo"])
|
||
|
||
search_on = st.toggle("开启搜索增强", PHASE_CONFIGS[choose_phase]["do_search"])
|
||
search_engine, top_k = None, 3
|
||
if search_on:
|
||
with st.expander("搜索引擎配置", True):
|
||
search_engine = st.selectbox("请选择搜索引擎", SEARCH_ENGINES.keys(), 0)
|
||
top_k = st.number_input("匹配搜索结果条数：", 1, 20, 3)
|
||
|
||
doc_retrieval_on = st.toggle("开启知识库检索增强", PHASE_CONFIGS[choose_phase]["do_doc_retrieval"])
|
||
selected_kb, top_k, score_threshold = None, 3, 1.0
|
||
if doc_retrieval_on:
|
||
with st.expander("知识库配置", True):
|
||
kb_list = api.list_knowledge_bases(no_remote_api=True)
|
||
selected_kb = st.selectbox(
|
||
"请选择知识库：",
|
||
kb_list,
|
||
on_change=on_kb_change,
|
||
key="selected_kb",
|
||
)
|
||
top_k = st.number_input("匹配知识条数：", 1, 20, 3)
|
||
score_threshold = st.number_input("知识匹配分数阈值：", 0.0, float(SCORE_THRESHOLD), float(SCORE_THRESHOLD), float(SCORE_THRESHOLD//100))
|
||
|
||
code_retrieval_on = st.toggle("开启代码检索增强", PHASE_CONFIGS[choose_phase]["do_code_retrieval"])
|
||
selected_cb, top_k = None, 1
|
||
if code_retrieval_on:
|
||
with st.expander('代码知识库配置', True):
|
||
cb_list = api.list_cb(no_remote_api=True)
|
||
logger.debug('codebase_list={}'.format(cb_list))
|
||
selected_cb = st.selectbox(
|
||
"请选择代码知识库：",
|
||
cb_list,
|
||
on_change=on_cb_change,
|
||
key="selected_cb",
|
||
)
|
||
st.toast(f"已加载代码知识库： {st.session_state.selected_cb}")
|
||
top_k = st.number_input("匹配代码条数：", 1, 20, 1)
|
||
|
||
with st.expander("沙盒文件管理", False):
|
||
def _upload(upload_file):
|
||
res = api.web_sd_upload(upload_file)
|
||
logger.debug(res)
|
||
if res["msg"]:
|
||
st.success("上文件传成功")
|
||
else:
|
||
st.toast("文件上传失败")
|
||
|
||
interpreter_file = st.file_uploader(
|
||
"上传沙盒文件",
|
||
[i for ls in LOADER2EXT_DICT.values() for i in ls],
|
||
accept_multiple_files=False,
|
||
key="interpreter_file",
|
||
)
|
||
|
||
if interpreter_file:
|
||
_upload(interpreter_file)
|
||
interpreter_file = None
|
||
#
|
||
files = api.web_sd_list_files()
|
||
files = files["data"]
|
||
download_file = st.selectbox("选择要处理文件", files,
|
||
key="download_file",)
|
||
|
||
cols = st.columns(2)
|
||
file_url, file_name = api.web_sd_download(download_file)
|
||
cols[0].download_button("点击下载", file_url, file_name)
|
||
if cols[1].button("点击删除", ):
|
||
api.web_sd_delete(download_file)
|
||
|
||
code_interpreter_on = st.toggle("开启代码解释器") and not_agent_qa
|
||
code_exec_on = st.toggle("自动执行代码") and not_agent_qa
|
||
|
||
# Display chat messages from history on app rerun
|
||
|
||
chat_box.output_messages()
|
||
|
||
chat_input_placeholder = "请输入对话内容，换行请使用Ctrl+Enter "
|
||
code_text = "" or GLOBAL_EXE_CODE_TEXT
|
||
codebox_res = None
|
||
|
||
if prompt := st.chat_input(chat_input_placeholder, key="prompt"):
|
||
history = get_messages_history(history_len)
|
||
chat_box.user_say(prompt)
|
||
if dialogue_mode == "LLM 对话":
|
||
chat_box.ai_say("正在思考...")
|
||
text = ""
|
||
r = api.chat_chat(prompt, history, no_remote_api=True)
|
||
for t in r:
|
||
if error_msg := check_error_msg(t): # check whether error occured
|
||
st.error(error_msg)
|
||
break
|
||
text += t["answer"]
|
||
|
||
# text = replace_lt_gt(text)
|
||
|
||
chat_box.update_msg(text)
|
||
# logger.debug(f"text: {text}")
|
||
|
||
# text = replace_lt_gt(text)
|
||
|
||
chat_box.update_msg(text, streaming=False) # 更新最终的字符串，去除光标
|
||
# 判断是否存在代码, 并提高编辑功能，执行功能
|
||
code_text = api.codebox.decode_code_from_text(text)
|
||
GLOBAL_EXE_CODE_TEXT = code_text
|
||
if code_text and code_exec_on:
|
||
codebox_res = api.codebox_chat("```"+code_text+"```", do_code_exe=True)
|
||
elif dialogue_mode == "Agent问答":
|
||
display_infos = [f"正在思考..."]
|
||
if search_on:
|
||
display_infos.append(Markdown("...", in_expander=True, title="网络搜索结果"))
|
||
if doc_retrieval_on:
|
||
display_infos.append(Markdown("...", in_expander=True, title="知识库匹配结果"))
|
||
chat_box.ai_say(display_infos)
|
||
|
||
if 'history_node_list' in st.session_state:
|
||
history_node_list: List[str] = st.session_state['history_node_list']
|
||
else:
|
||
history_node_list: List[str] = []
|
||
|
||
input_kargs = {"query": prompt,
|
||
"phase_name": choose_phase,
|
||
"history": history,
|
||
"doc_engine_name": selected_kb,
|
||
"search_engine_name": search_engine,
|
||
"code_engine_name": selected_cb,
|
||
"top_k": top_k,
|
||
"score_threshold": score_threshold,
|
||
"do_search": search_on,
|
||
"do_doc_retrieval": doc_retrieval_on,
|
||
"do_code_retrieval": code_retrieval_on,
|
||
"do_tool_retrieval": False,
|
||
"custom_phase_configs": {},
|
||
"custom_chain_configs": {},
|
||
"custom_role_configs": {},
|
||
"choose_tools": tool_selects,
|
||
"history_node_list": history_node_list,
|
||
"isDetailed": is_detailed,
|
||
}
|
||
text = ""
|
||
d = {"docs": []}
|
||
for idx_count, d in enumerate(api.agent_chat(**input_kargs)):
|
||
if error_msg := check_error_msg(d): # check whether error occured
|
||
st.error(error_msg)
|
||
text += d["answer"]
|
||
if idx_count%20 == 0:
|
||
chat_box.update_msg(text, element_index=0)
|
||
|
||
for k, v in d["figures"].items():
|
||
logger.debug(f"figure: {k}")
|
||
if k in text:
|
||
img_html = "\n<img src='data:image/png;base64,{}' class='img-fluid'>\n".format(v)
|
||
text = text.replace(k, img_html).replace(".png", "")
|
||
chat_box.update_msg(text, element_index=0, streaming=False, state="complete") # 更新最终的字符串，去除光标
|
||
if search_on:
|
||
chat_box.update_msg("搜索匹配结果:\n\n" + "\n\n".join(d["search_docs"]), element_index=search_on, streaming=False, state="complete")
|
||
if doc_retrieval_on:
|
||
chat_box.update_msg("知识库匹配结果:\n\n" + "\n\n".join(d["db_docs"]), element_index=search_on+doc_retrieval_on, streaming=False, state="complete")
|
||
|
||
history_node_list.extend([node[0] for node in d.get("related_nodes", [])])
|
||
history_node_list = list(set(history_node_list))
|
||
st.session_state['history_node_list'] = history_node_list
|
||
|
||
elif dialogue_mode == "工具问答":
|
||
chat_box.ai_say("正在思考...")
|
||
text = ""
|
||
r = api.tool_chat(prompt, history, tool_sets=tool_selects)
|
||
for t in r:
|
||
if error_msg := check_error_msg(t): # check whether error occured
|
||
st.error(error_msg)
|
||
break
|
||
text += t["answer"]
|
||
chat_box.update_msg(text)
|
||
logger.debug(f"text: {text}")
|
||
chat_box.update_msg(text, streaming=False) # 更新最终的字符串，去除光标
|
||
# 判断是否存在代码, 并提高编辑功能，执行功能
|
||
code_text = api.codebox.decode_code_from_text(text)
|
||
GLOBAL_EXE_CODE_TEXT = code_text
|
||
if code_text and code_exec_on:
|
||
codebox_res = api.codebox_chat("```"+code_text+"```", do_code_exe=True)
|
||
elif dialogue_mode == "数据分析":
|
||
chat_box.ai_say("正在思考...")
|
||
text = ""
|
||
r = api.data_chat(prompt, history)
|
||
for t in r:
|
||
if error_msg := check_error_msg(t): # check whether error occured
|
||
st.error(error_msg)
|
||
break
|
||
text += t["answer"]
|
||
chat_box.update_msg(text)
|
||
logger.debug(f"text: {text}")
|
||
chat_box.update_msg(text, streaming=False) # 更新最终的字符串，去除光标
|
||
# 判断是否存在代码, 并提高编辑功能，执行功能
|
||
code_text = api.codebox.decode_code_from_text(text)
|
||
GLOBAL_EXE_CODE_TEXT = code_text
|
||
if code_text and code_exec_on:
|
||
codebox_res = api.codebox_chat("```"+code_text+"```", do_code_exe=True)
|
||
elif dialogue_mode == "知识库问答":
|
||
history = get_messages_history(history_len)
|
||
chat_box.ai_say([
|
||
f"正在查询知识库 `{selected_kb}` ...",
|
||
Markdown("...", in_expander=True, title="知识库匹配结果"),
|
||
])
|
||
text = ""
|
||
d = {"docs": []}
|
||
for idx_count, d in enumerate(api.knowledge_base_chat(prompt, selected_kb, kb_top_k, score_threshold, history)):
|
||
if error_msg := check_error_msg(d): # check whether error occured
|
||
st.error(error_msg)
|
||
text += d["answer"]
|
||
if idx_count%10 == 0:
|
||
chat_box.update_msg(text, element_index=0)
|
||
# chat_box.update_msg("知识库匹配结果: \n\n".join(d["docs"]), element_index=1, streaming=False, state="complete")
|
||
chat_box.update_msg(text, element_index=0, streaming=False) # 更新最终的字符串，去除光标
|
||
chat_box.update_msg("知识库匹配结果: \n\n".join(d["docs"]), element_index=1, streaming=False, state="complete")
|
||
# 判断是否存在代码, 并提高编辑功能，执行功能
|
||
code_text = api.codebox.decode_code_from_text(text)
|
||
GLOBAL_EXE_CODE_TEXT = code_text
|
||
if code_text and code_exec_on:
|
||
codebox_res = api.codebox_chat("```"+code_text+"```", do_code_exe=True)
|
||
elif dialogue_mode == '代码知识库问答':
|
||
logger.info('prompt={}'.format(prompt))
|
||
logger.info('history={}'.format(history))
|
||
if 'history_node_list' in st.session_state:
|
||
api.codeChat.history_node_list = st.session_state['history_node_list']
|
||
|
||
chat_box.ai_say([
|
||
f"正在查询代码知识库 `{selected_cb}` ...",
|
||
Markdown("...", in_expander=True, title="代码库匹配结果"),
|
||
])
|
||
text = ""
|
||
d = {"codes": []}
|
||
|
||
for idx_count, d in enumerate(api.code_base_chat(query=prompt, code_base_name=selected_cb,
|
||
code_limit=cb_code_limit, history=history,
|
||
no_remote_api=True)):
|
||
if error_msg := check_error_msg(d):
|
||
st.error(error_msg)
|
||
text += d["answer"]
|
||
if idx_count % 10 == 0:
|
||
# text = replace_lt_gt(text)
|
||
chat_box.update_msg(text, element_index=0)
|
||
# postprocess
|
||
# text = replace_lt_gt(text)
|
||
chat_box.update_msg(text, element_index=0, streaming=False) # 更新最终的字符串，去除光标
|
||
logger.debug('text={}'.format(text))
|
||
chat_box.update_msg("\n".join(d["codes"]), element_index=1, streaming=False, state="complete")
|
||
|
||
# session state update
|
||
st.session_state['history_node_list'] = api.codeChat.history_node_list
|
||
|
||
elif dialogue_mode == "搜索引擎问答":
|
||
chat_box.ai_say([
|
||
f"正在执行 `{search_engine}` 搜索...",
|
||
Markdown("...", in_expander=True, title="网络搜索结果"),
|
||
])
|
||
text = ""
|
||
d = {"docs": []}
|
||
for idx_count, d in enumerate(api.search_engine_chat(prompt, search_engine, se_top_k)):
|
||
if error_msg := check_error_msg(d): # check whether error occured
|
||
st.error(error_msg)
|
||
text += d["answer"]
|
||
if idx_count%10 == 0:
|
||
chat_box.update_msg(text, element_index=0)
|
||
# chat_box.update_msg("搜索匹配结果: \n\n".join(d["docs"]), element_index=1, streaming=False)
|
||
chat_box.update_msg(text, element_index=0, streaming=False) # 更新最终的字符串，去除光标
|
||
chat_box.update_msg("搜索匹配结果: \n\n".join(d["docs"]), element_index=1, streaming=False, state="complete")
|
||
# 判断是否存在代码, 并提高编辑功能，执行功能
|
||
code_text = api.codebox.decode_code_from_text(text)
|
||
GLOBAL_EXE_CODE_TEXT = code_text
|
||
if code_text and code_exec_on:
|
||
codebox_res = api.codebox_chat("```"+code_text+"```", do_code_exe=True)
|
||
|
||
if code_interpreter_on:
|
||
with st.expander("代码编辑执行器", False):
|
||
code_part = st.text_area("代码片段", code_text, key="code_text")
|
||
cols = st.columns(2)
|
||
if cols[0].button(
|
||
"修改对话",
|
||
use_container_width=True,
|
||
):
|
||
code_text = code_part
|
||
GLOBAL_EXE_CODE_TEXT = code_text
|
||
st.toast("修改对话成功")
|
||
|
||
if cols[1].button(
|
||
"执行代码",
|
||
use_container_width=True
|
||
):
|
||
if code_text:
|
||
codebox_res = api.codebox_chat("```"+code_text+"```", do_code_exe=True)
|
||
st.toast("正在执行代码")
|
||
else:
|
||
st.toast("code 不能为空")
|
||
|
||
#TODO 这段信息会被记录到history里
|
||
if codebox_res is not None and codebox_res.code_exe_status != 200:
|
||
st.toast(f"{codebox_res.code_exe_response}")
|
||
|
||
if codebox_res is not None and codebox_res.code_exe_status == 200:
|
||
st.toast(f"codebox_chajt {codebox_res}")
|
||
chat_box.ai_say(Markdown(code_text, in_expander=True, title="code interpreter", unsafe_allow_html=True), )
|
||
if codebox_res.code_exe_type == "image/png":
|
||
base_text = f"```\n{code_text}\n```\n\n"
|
||
img_html = "<img src='data:image/png;base64,{}' class='img-fluid'>".format(
|
||
codebox_res.code_exe_response
|
||
)
|
||
chat_box.update_msg(img_html, streaming=False, state="complete")
|
||
else:
|
||
chat_box.update_msg('```\n'+code_text+'\n```'+"\n\n"+'```\n'+codebox_res.code_exe_response+'\n```',
|
||
streaming=False, state="complete")
|
||
|
||
now = datetime.now()
|
||
with st.sidebar:
|
||
|
||
cols = st.columns(2)
|
||
export_btn = cols[0]
|
||
if cols[1].button(
|
||
"清空对话",
|
||
use_container_width=True,
|
||
):
|
||
chat_box.reset_history()
|
||
GLOBAL_EXE_CODE_TEXT = ""
|
||
if 'history_node_list' in st.session_state:
|
||
st.session_state['history_node_list'] = []
|
||
st.experimental_rerun()
|
||
|
||
export_btn.download_button(
|
||
"导出记录",
|
||
"".join(chat_box.export2md()),
|
||
file_name=f"{now:%Y-%m-%d %H.%M}_对话记录.md",
|
||
mime="text/markdown",
|
||
use_container_width=True,
|
||
)
|