import streamlit as st
from openai import OpenAI
from pymongo.mongo_client import MongoClient
from pymongo.server_api import ServerApi
from datetime import datetime
import random

st.set_page_config(
    page_title="Chat",
    page_icon=":robot_face:",
    initial_sidebar_state="expanded",
    layout="wide"
)
st.markdown(
    """ <style>
            div[role="radiogroup"] >  :first-child{
                display: none !important;
            }
        </style>
        """,
    unsafe_allow_html=True
)

### Setting up the session state 

def format_personalization(text):
    try:
        for key, value in st.session_state.items():
            text = text.replace(f"[{key.upper()}]", str(value))

    except Exception as e:
        print(text)
        f"Failed to format personalization: {e}"
    return text
    
if 'inserted' not in st.session_state:
    with open('src/base.txt', 'r') as file:
        st.session_state.base_text = file.read()
    with open('src/bridging.txt', 'r') as file:
        st.session_state.bridging_text = file.read()
    with open('src/personalization.txt', 'r') as file:
        st.session_state.personalization_text = file.read()
    with open('src/both.txt', 'r') as file:
        st.session_state.both_text = file.read()

    # web app state
    st.session_state.gotit = False
    st.session_state.submitted = False
    st.session_state.inserted = 0
    st.session_state["model"] = "openai/gpt-4.1"
    st.session_state.max_messages = 50
    st.session_state.messages = []
    st.session_state.user_data = {}

    # user info state
    st.session_state.fields = [
    'age', 'gender', 'education', 'employment', 'race', 'party', 
    'user_id', 'random_pid'
    ]

    for field in st.session_state.fields:
        st.session_state[field] = ''

    st.session_state.user_id = str(random.randint(100000, 999999))
    st.session_state.random_pid = st.query_params['id'] if 'id' in st.query_params else "0"
    st.session_state.party = st.query_params['party'] if 'party' in st.query_params else ""

    st.session_state.start_time = datetime.now()
    st.session_state.convo_start_time = ''

if 'p' not in st.query_params:
    st.query_params['p'] = '4'
if 'id' not in st.query_params:
    st.query_params['id'] = st.session_state.random_pid
if 'party' not in st.query_params:
    st.session_state.party = st.radio("Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what?", 
                ['','Republican', 'Democrat', 'Independent', 'Other'])
    st.query_params['party'] = st.session_state.party 

def setup_messages():
    # 1 = base,
    # 2 = bridging,
    # 3 = personalization,
    # 4 = bridging + personalization

    if st.query_params["p"] == "1":
        st.session_state.system_message = st.session_state.base_text 
    elif st.query_params["p"] == "2":
        st.session_state.system_message = st.session_state.bridging_text 
    elif st.query_params["p"] == "3":
        st.session_state.system_message = format_personalization(st.session_state.personalization_text)
    elif st.query_params["p"] == "4":
        st.session_state.system_message = format_personalization(st.session_state.both_text)

    st.session_state.messages = [{ "role": "system", "content": st.session_state.system_message}]
    st.session_state.convo_start_time = datetime.now()

client = OpenAI( base_url="https://openrouter.ai/api/v1", api_key=st.secrets["OPENROUTER_API_KEY"])

### App interface 
with st.sidebar:
    st.markdown("# Let's talk!")
    st.markdown(f"""
    {"☑" if st.session_state.submitted else "☐"} **Step 1. Complete a form**

    {"☑" if len(st.session_state.messages) > 0 else "☐"} **Step 2. Type in the chat box to start a conversation**

    🎯 Ask, request, or talk to the model about something that you consider politically polarizing or something that people from different US political parties would disagree about it.

    ❗ Do not share any personal information (e.g., name or address). Do not use AI tools to generate your responses; write them yourself.

    ⚠️ You must respond **at least 5 times** before you will see a *Finish* button. You can continue before submitting, but **you must finish and enter your chatbot code into the survey to recieve compensation**.

    ❗ If you encounter any technical issues, please let us know. It might sometimes take 30 seconds or more to generate a response, so please be patient.

    {"☑" if st.session_state.inserted > 1 else "☐"} **Step 3. Use the *Finish* button to get your chatbot code** 

    ⚠️ Do not forget to copy & paste your chatbot code!

    ↺ You can always return to this panel by clicking the arrow on the top left.
    
    {"🎉 **All done! Please enter your code in the survey and press *Next*.**" if st.session_state.inserted > 1 else ""}
    """)
    if st.session_state.gotit == False or st.session_state.submitted == False:
        st.session_state.gotit = st.button("Let's start!", key=None, help=None, use_container_width=True) 

@st.dialog('Form', width="large")
def form():
    st.markdown("**Please answer every question to proceed.**")
    st.session_state.age = st.radio("How old are you?",
                                    ['', '18-24 years old', '25-34 years old', '35-44 years old', '45-54 years old', '55-64 years old', '65+'])
    st.session_state.gender = st.radio("Do you describe yourself as a man, a woman, or in some other way?", 
                ['','Man', 'Woman', 'Other'])
    st.session_state.race = st.radio("Choose a race that you consider yourself to be", 
                ['', 'White or Caucasian', 'Black or African American', 'Asian', 'Native Hawaiian or Pacific Islander', 'American Indian/Native American or Alaska Native', 'Mixed', 'Other'])
    st.session_state.education = st.radio("What is the highest level of education you completed?", 
                ['', 
                'Did not graduate high school', 
                'High school graduate, GED, or alternative', 
                'Some college, or associates degree',
                "Bachelor's (college) degree or equivalent",
                "Graduate degree (e.g., Master's degree, MBA)",
                'Doctorate degree (e.g., PhD, MD)'])
    st.session_state.employment = st.radio("What best describes your employment status over the last three months?", 
                ['', 'Working full-time', 'Working part-time', 'Unemployed and looking for work',
                 'A homemaker or a stay-at-home parent', 'Student', 'Retired', 'Other'])

    columns_form = st.columns((1,1,1))
    with columns_form[2]:
        submitted = st.button("Proceed",use_container_width=True, 
                              help = 'Make sure you answer every question',
                              disabled = not (all(st.session_state[field] != '' for field in st.session_state.fields) and st.session_state.recycling != 0))

    if submitted:

        st.session_state.user_data = {key: st.session_state[key] for key in st.session_state.fields}
        st.session_state.user_data["model"] = st.session_state["model"]
        st.session_state.user_data["condition"] = st.query_params['p']
        st.session_state.user_data["start_time"] = st.session_state.start_time
        st.session_state.user_data["inserted"] = st.session_state.inserted
        st.session_state.user_data["submission_time"] = datetime.now()
        
        st.session_state.inserted += 1
        st.session_state.submitted = True
        setup_messages()
        st.rerun()

if st.session_state.gotit and st.session_state.submitted == False:
    form()
                
for message in st.session_state.messages:
    if message['role']!='system':
        with st.chat_message(message["role"]):
            st.markdown(message["content"])

if len(st.session_state.messages) >= st.session_state.max_messages:
    st.info(
        "You have reached the limit of messages for this conversation. Please end and submit the conversation."
    )

elif st.session_state.submitted == False:
    pass

elif st.session_state.inserted > 1:
    st.markdown("## Copy your code!")
    st.markdown('**Your chatbot code is:**')
    st.markdown(f'## {st.session_state.user_id}')
    st.markdown('**Please copy the code and enter it into the survey field below.**')

elif prompt := st.chat_input("Ask a polarizing question..."):   

    st.session_state.messages.append({"role": "user", "content": prompt})
    with st.chat_message("user"):
        st.markdown(prompt)

    with st.chat_message("assistant"):
        try:
            stream = client.chat.completions.create(
                model=st.session_state["model"],
                messages=[
                    {"role": m["role"], "content": m["content"]}
                    for m in st.session_state.messages
                ],
                stream=True
            )
            
            response = st.write_stream(stream)

            st.session_state.messages.append(
                {"role": "assistant", "content": response}
            )
        except:
            rate_limit_message = """
                An error has occured or you've reached the maximum conversation length. Please submit the conversation.
            """
            st.session_state.messages.append(
                {"role": "assistant", "content": rate_limit_message}
            )
            st.session_state.max_messages = len(st.session_state.messages)
            st.rerun()

if len(st.session_state.messages) > 10 or st.session_state.max_messages == len(st.session_state.messages):
    columns = st.columns((1,1,1))
    with columns[2]:
        if st.button("Finish",use_container_width=True):
            keys = ["inserted", "messages", "convo_start_time"]

            st.session_state.user_data.update({key: st.session_state[key] for key in keys})
            
            st.session_state.user_data["convo_end_time"] = datetime.now()

            with MongoClient(st.secrets["mongo"],server_api=ServerApi('1')) as client:
                    db = client.bridge
                    collection = db.app
                    user_data = st.session_state.user_data

                    collection.insert_one(user_data)  
                    st.session_state.inserted += 1
                    done = True

                    setup_messages()
                    st.rerun()