ChatData / chat.py
Fangrui Liu
update session model
042a946
raw
history blame
7.6 kB
import pandas as pd
from os import environ
from time import sleep
import datetime
import streamlit as st
from lib.sessions import SessionManager
from langchain.schema import HumanMessage, FunctionMessage
from helper import (
build_agents,
MYSCALE_HOST,
MYSCALE_PASSWORD,
MYSCALE_PORT,
MYSCALE_USER,
DEFAULT_SYSTEM_PROMPT,
)
from login import back_to_main
environ["OPENAI_API_BASE"] = st.secrets["OPENAI_API_BASE"]
TOOL_NAMES = {
"langchain_retriever_tool": "Self-querying retriever",
"vecsql_retriever_tool": "Vector SQL",
}
def on_chat_submit():
ret = st.session_state.agent({"input": st.session_state.chat_input})
print(ret)
def clear_history():
if "agent" in st.session_state:
st.session_state.agent.memory.clear()
def back_to_main():
if "user_info" in st.session_state:
del st.session_state.user_info
if "user_name" in st.session_state:
del st.session_state.user_name
if "jump_query_ask" in st.session_state:
del st.session_state.jump_query_ask
def on_session_change_submit():
if "session_manager" in st.session_state and "session_editor" in st.session_state:
print(st.session_state.session_editor)
try:
for elem in st.session_state.session_editor["added_rows"]:
if len(elem) > 0 and "system_prompt" in elem and "session_id" in elem:
if elem["session_id"] != "" and "?" not in elem["session_id"]:
st.session_state.session_manager.add_session(
user_id=st.session_state.user_name,
session_id=f"{st.session_state.user_name}?{elem['session_id']}",
system_prompt=elem["system_prompt"],
)
else:
raise KeyError(
"`session_id` should NOT be neither empty nor contain question marks."
)
else:
raise KeyError(
"You should fill both `session_id` and `system_prompt` to add a column!"
)
for elem in st.session_state.session_editor["deleted_rows"]:
st.session_state.session_manager.remove_session(
session_id=f"{st.session_state.user_name}?{st.session_state.current_sessions[elem]['session_id']}",
)
refresh_sessions()
if len(st.session_state.session_editor["deleted_rows"]) > 0:
try:
dfl_indx = [
x["session_id"] for x in st.session_state.current_sessions
].index("default")
except ValueError:
dfl_indx = 0
st.session_state.sel_sess = st.session_state.current_sessions[dfl_indx]
except Exception as e:
sleep(2)
st.error(f"{type(e)}: {str(e)}")
finally:
st.session_state.session_editor["added_rows"] = []
st.session_state.session_editor["deleted_rows"] = []
refresh_agent()
def build_session_manager():
return SessionManager(
host=MYSCALE_HOST,
port=MYSCALE_PORT,
username=MYSCALE_USER,
password=MYSCALE_PASSWORD,
)
def refresh_sessions():
st.session_state[
"current_sessions"
] = st.session_state.session_manager.list_sessions(st.session_state.user_name)
if type(st.session_state.current_sessions) is not dict and len(st.session_state.current_sessions) <= 0:
st.session_state.session_manager.add_session(
st.session_state.user_name,
f"{st.session_state.user_name}?default",
DEFAULT_SYSTEM_PROMPT,
)
st.session_state[
"current_sessions"
] = st.session_state.session_manager.list_sessions(st.session_state.user_name)
def refresh_agent():
with st.spinner("Initializing session..."):
print(
f"??? Changed to ",
f"{st.session_state.user_name}?{st.session_state.sel_sess['session_id']}",
)
st.session_state["agent"] = build_agents(
f"{st.session_state.user_name}?{st.session_state.sel_sess['session_id']}",
["LangChain Self Query Retriever For Wikipedia"]
if "selected_tools" not in st.session_state
else st.session_state.selected_tools,
system_prompt=DEFAULT_SYSTEM_PROMPT
if "sel_sess" not in st.session_state
else st.session_state.sel_sess["system_prompt"],
)
st.session_state["session_manager"] = build_session_manager()
def chat_page():
if "sel_sess" not in st.session_state:
st.session_state["sel_sess"] = {
"session_id": "default",
"system_prompt": DEFAULT_SYSTEM_PROMPT,
}
with st.sidebar:
with st.expander("Session Management"):
refresh_sessions()
st.data_editor(
st.session_state.current_sessions,
num_rows="dynamic",
key="session_editor",
use_container_width=True,
)
st.button("Submit Change!", on_click=on_session_change_submit)
with st.expander("Session Selection", expanded=True):
try:
dfl_indx = [
x["session_id"] for x in st.session_state.current_sessions
].index("default")
except ValueError:
dfl_indx = 0
st.selectbox(
"Choose a session be chat:",
options=st.session_state.current_sessions,
index=dfl_indx,
key="sel_sess",
format_func=lambda x: x["session_id"],
on_change=refresh_agent,
)
print(st.session_state.sel_sess)
with st.expander("Tool Settings", expanded=True):
st.multiselect(
"Knowledge Base",
st.session_state.tools.keys(),
default=["LangChain Self Query Retriever For Wikipedia"],
key="selected_tools",
on_change=refresh_agent,
)
st.button("Clear Chat History", on_click=clear_history)
st.button("Logout", on_click=back_to_main)
if 'agent' not in st.session_state:
refresh_agent()
print("!!! ", st.session_state.agent.memory.chat_memory.session_id)
for msg in st.session_state.agent.memory.chat_memory.messages:
speaker = "user" if isinstance(msg, HumanMessage) else "assistant"
if isinstance(msg, FunctionMessage):
with st.chat_message("Knowledge Base", avatar="πŸ“–"):
st.write(
f"*{datetime.datetime.fromtimestamp(msg.additional_kwargs['timestamp']).isoformat()}*"
)
st.write("Retrieved from knowledge base:")
try:
st.dataframe(
pd.DataFrame.from_records(map(dict, eval(msg.content)))
)
except:
st.write(msg.content)
else:
if len(msg.content) > 0:
with st.chat_message(speaker):
print(type(msg), msg.dict())
st.write(
f"*{datetime.datetime.fromtimestamp(msg.additional_kwargs['timestamp']).isoformat()}*"
)
st.write(f"{msg.content}")
st.chat_input("Input Message", on_submit=on_chat_submit, key="chat_input")