import random
from datetime import datetime

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


# -----------------------------
# Page config
# -----------------------------
st.set_page_config(
    page_title="Bot",
    page_icon="🤖",
    initial_sidebar_state="collapsed",
    layout="wide",
    menu_items={
        "Report a bug": "mailto:yk408@cam.ac.uk",
        "About": "Bot",
    },
)

st.markdown(
    """
    <style>
        div[role="radiogroup"] > :first-child {
            display: none !important;
        }
    </style>
    """,
    unsafe_allow_html=True,
)


# -----------------------------
# Constants
# -----------------------------
MAX_MESSAGES_DEFAULT = 50
SUBMIT_AFTER_USER_TURNS = 5

GREETINGS = {
    "hi", "hello", "hey", "heya", "hiya", "yo", "howdy", "sup",
    "good morning", "good afternoon", "good evening", "good day",
    "what's up", "whats up", "how do you do", "greetings",
    "salutations", "hi there", "hello there", "hey there",
    "how's it going", "hows it going", "how are you", "how are you doing"
}

CONDITIONS = {
    "1": {
        "label": "true control",
        "base_url": None,
        "model": None,
        "api_secret": None,
    },
    "2": {
        "label": "base",
        "base_url": "https://openrouter.ai/api/v1",
        "model": "meta-llama/llama-3.3-70b-instruct",
        "api_secret": "OPENROUTER_API_KEY",
    },
    "3": {
        "label": "bridging",
        "base_url": "https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1",
        "model": "tinker://808e4f02-e847-54ae-bc75-f14ee885ce5a:train:0/sampler_weights/final_sampler",
        "api_secret": "TINKER_API_KEY",
    },
    "4": {
        "label": "gpt",
        "base_url": "https://openrouter.ai/api/v1",
        "model": "openai/gpt-5.4",
        "api_secret": "OPENROUTER_API_KEY",
    },
}


# -----------------------------
# Session state helpers
# -----------------------------
def init_session_state() -> None:
    if "initialized" in st.session_state:
        return

    user_id = str(random.randint(100000, 999999))

    st.session_state.initialized = True
    st.session_state.inserted = 0
    st.session_state.max_messages = MAX_MESSAGES_DEFAULT
    st.session_state.messages = []
    st.session_state.client = None
    st.session_state.setup = False
    st.session_state.convo_start_time = None

    st.session_state.user_data = {
        "BASE_URL": "",
        "MODEL_PATH": "",
        "url_id": True,
        "user_id": user_id,
        "start_time": datetime.now(),
        "random_pid": None,
        "condition": None,
    }


def reset_conversation_state() -> None:
    st.session_state.messages = []
    st.session_state.max_messages = MAX_MESSAGES_DEFAULT
    st.session_state.convo_start_time = None
    st.session_state.setup = False
    st.session_state.client = None


# -----------------------------
# Query param / condition helpers
# -----------------------------
def ensure_query_params() -> None:
    if "p" not in st.query_params or st.query_params["p"] not in CONDITIONS:
        st.query_params["p"] = st.radio(
            "Select a condition for the conversation",
            ["", "1", "2", "3", "4"],
            help="1 = true control, 2 = base, 3 = bridging, 4 = gpt",
        )

    if "id" not in st.query_params or not st.query_params["id"]:
        st.session_state.user_data["url_id"] = False
        st.query_params["id"] = st.session_state.user_data["user_id"]


def setup_conversation() -> None:
    condition = st.query_params.get("p", "")
    if condition not in CONDITIONS:
        return

    config = CONDITIONS[condition]

    st.session_state.user_data["random_pid"] = st.query_params["id"]
    st.session_state.user_data["condition"] = condition
    st.session_state.user_data["BASE_URL"] = config["base_url"] or ""
    st.session_state.user_data["MODEL_PATH"] = config["model"] or ""
    st.session_state.convo_start_time = datetime.now()

    if condition != "1":
        st.session_state.client = OpenAI(
            base_url=config["base_url"],
            api_key=st.secrets[config["api_secret"]],
        )
    else:
        st.session_state.client = None

    st.session_state.setup = True


# -----------------------------
# Utility helpers
# -----------------------------
def is_greeting_only(text: str) -> bool:
    clean = text.strip().lower().strip("!,.?")
    return clean in GREETINGS


def user_turn_count() -> int:
    return sum(1 for m in st.session_state.messages if m["role"] == "user")


def can_submit() -> bool:
    return (
        user_turn_count() >= SUBMIT_AFTER_USER_TURNS
        or len(st.session_state.messages) >= st.session_state.max_messages
    )


def render_sidebar() -> None:
    with st.sidebar:
        st.markdown("# **Let's talk!**")
        st.markdown("# **Step 1. Type in the chat box to start a conversation**")

        st.success(
            "Ask, request, or talk to the chatbot about something you consider "
            "**politically polarizing** or something that people from different "
            "US political parties might disagree about.",
            icon="🎯",
        )

        st.markdown(
            "🚫 Please avoid greetings and start the conversation with a question "
            "or a statement about a politically polarizing topic.\n"
            "**Note: the chatbot's knowledge only goes up to late August 2025.**"
        )

        st.markdown(
            "# **Step 2. Use the *Submit Interaction* button to get your chatbot word**\n\n"
            "⚠️ You must respond **at least 5 times** before you will see a *Submit Interaction* button. "
            "You can continue before submitting, but **you must Submit Interaction and enter your chatbot word "
            "to proceed with the survey**.\n"
            "❗ Do not share any personal information (e.g., name or address). "
            "Do not use AI tools to write your responses. "
            "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."
        )


def render_messages() -> None:
    for message in st.session_state.messages:
        if message["role"] != "system":
            with st.chat_message(message["role"]):
                st.markdown(message["content"])


def save_conversation() -> None:
    payload = dict(st.session_state.user_data)
    payload["messages"] = st.session_state.messages
    payload["convo_start_time"] = st.session_state.convo_start_time
    payload["convo_end_time"] = datetime.now()
    payload["inserted"] = st.session_state.inserted + 1

    with MongoClient(st.secrets["mongo"], server_api=ServerApi("1")) as mongo_client:
        db = mongo_client.bridge
        collection = db.app2
        collection.insert_one(payload)


def get_assistant_response() -> str:
    completion = st.session_state.client.chat.completions.create(
        model=st.session_state.user_data["MODEL_PATH"],
        messages=st.session_state.messages,
        max_tokens=512,
        stream=False,
    )
    return completion.choices[0].message.content or ""


# -----------------------------
# App bootstrap
# -----------------------------
init_session_state()
ensure_query_params()

if not st.session_state.setup and st.query_params.get("p") in CONDITIONS:
    setup_conversation()

render_sidebar()

if st.session_state.setup and not st.session_state.messages and st.session_state.inserted == 0:
    st.success(
        "Ask, request, or talk to the chatbot about something you consider "
        "**politically polarizing** or something that people from different US political parties might disagree about.",
        icon="🎯",
    )

render_messages()


# -----------------------------
# Main app flow
# -----------------------------
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.inserted > 0:
    st.markdown("## Copy your WORD!")
    st.markdown("**Your chatbot WORD is:**")
    st.markdown("## TOMATOES")
    st.markdown("**Please copy the WORD and enter it into the survey field below.**")

elif prompt := st.chat_input("Type to ask a question or respond..."):
    if not st.session_state.setup:
        st.error("Please select a condition first.")
        st.stop()

    if not st.session_state.messages and is_greeting_only(prompt):
        st.error(
            "Please avoid greetings and start the conversation with a question or a statement about a politically polarizing topic.",
            icon="🚫",
        )
        st.stop()

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

    with st.chat_message("user"):
        st.markdown(prompt)

    condition = st.session_state.user_data["condition"]

    if condition == "1":
        response = (
            "Thank you for your question. You have been randomly assigned to a condition "
            "without a chatbot. **Please submit your interaction anyway** to get your chatbot word "
            "and proceed with the survey. Do not worry, this will not influence your compensation."
        )
        st.session_state.messages.append({"role": "assistant", "content": response})
        st.session_state.max_messages = len(st.session_state.messages)
        st.rerun()

    with st.chat_message("assistant"):
        try:
            with st.spinner("Typing..."):
                response = get_assistant_response()

            st.markdown(response)
            st.session_state.messages.append({"role": "assistant", "content": response})

        except Exception as e:
            error_message = (
                "An error has occurred or you've reached the maximum conversation length. "
                "Please submit the conversation."
            )
            st.session_state.messages.append({"role": "assistant", "content": error_message})
            st.session_state.max_messages = len(st.session_state.messages)
            st.error(f"Request failed: {e}")


# -----------------------------
# Submit button
# -----------------------------
if can_submit() and st.session_state.inserted == 0:
    cols = st.columns((1, 1, 1))
    with cols[2]:
        if st.button("Submit Interaction", use_container_width=True):
            try:
                save_conversation()
                st.session_state.inserted += 1
                reset_conversation_state()
                st.rerun()
            except Exception as e:
                st.error(f"Failed to save conversation: {e}")