File size: 7,552 Bytes
19bd5a9
 
042a946
19bd5a9
 
042a946
fab8405
19bd5a9
042a946
 
 
 
 
 
 
 
fab8405
19bd5a9
042a946
 
 
 
 
 
 
19bd5a9
 
042a946
19bd5a9
042a946
 
19bd5a9
042a946
 
19bd5a9
 
 
 
 
 
 
 
 
 
042a946
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9dd6716
 
 
 
 
 
 
042a946
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fab8405
042a946
 
 
 
 
3ca6dfb
fab8405
042a946
 
 
 
 
 
 
 
 
 
 
 
 
 
a988660
 
042a946
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fab8405
 
042a946
 
 
 
fab8405
 
 
042a946
 
 
fab8405
 
042a946
 
 
fab8405
 
 
 
 
 
042a946
 
 
fab8405
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
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()
        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)
    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]


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,
        }
    st.session_state["session_manager"] = build_session_manager()
    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 Exception as e:
                print("*** ", str(e))
                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")