import streamlit as st
from langchain.schema.runnable import RunnablePassthrough
from langchain.memory import ConversationBufferWindowMemory
from langchain.agents import AgentExecutor
from langchain.agents.format_scratchpad import format_to_openai_functions
import wikipedia
from langchain.tools.render import format_tool_to_openai_function
from langchain.prompts import MessagesPlaceholder
from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
from langchain.chat_models import ChatOpenAI
from langchain.prompts import ChatPromptTemplate
from langchain.agents import tool
import requests
import datetime,os
from langchain.pydantic_v1 import BaseModel,Field

st.set_page_config(page_title="ChatBot", page_icon="🤖")
st.header('Agent ChatBot')
st.write('Allows users to interact with the ChatGPT,Wikipedia and fetch current weather temperature of any place.')
if "messages" not in st.session_state:
    st.session_state["messages"] = [{"role":"assistant","content":"Hello! How can I assist you today?"}]


chat_model = ChatOpenAI(model="gpt-3.5-turbo-1106",
                        streaming=True,)

# Define the input schema
class OpenMeteoInput(BaseModel):
    latitude: float = Field(..., description="Latitude of the location to fetch weather data for")
    longitude: float = Field(..., description="Longitude of the location to fetch weather data for")

@tool(args_schema=OpenMeteoInput)
def get_current_temperature(latitude: float, longitude: float) -> dict:
    """Fetch current temperature for given coordinates."""
    
    BASE_URL = "https://api.open-meteo.com/v1/forecast"
    
    # Parameters for the request
    params = {
        'latitude': latitude,
        'longitude': longitude,
        'hourly': 'temperature_2m',
        'forecast_days': 1,
    }

    # Make the request
    response = requests.get(BASE_URL, params=params)
    
    if response.status_code == 200:
        results = response.json()
    else:
        return f"API Request failed with status code: {response.status_code}"

    current_utc_time = datetime.datetime.utcnow()
    time_list = [datetime.datetime.fromisoformat(time_str.replace('Z', '+00:00')) for time_str in results['hourly']['time']]
    temperature_list = results['hourly']['temperature_2m']
    
    closest_time_index = min(range(len(time_list)), key=lambda i: abs(time_list[i] - current_utc_time))
    current_temperature = temperature_list[closest_time_index]
    
    return f'The current temperature is {current_temperature}°C'


@tool
def SearchWikiPedia(query: str):
    "Serach wikipedia and get page summaries."

    page_titles = wikipedia.search(query)
    
    summaries = []

    for page_title in page_titles[: 3]:
        try:

            wiki_page = wikipedia.page(title=page_title,auto_suggest=False)

            summaries.append(f"Page: {wiki_page.title}\nSummary: {wiki_page.summary}")

        except Exception:
            pass

    if not summaries:
        return "No Good WikiPedia Search results found."
    return "\n\n".join(summaries)

tools =  [get_current_temperature,SearchWikiPedia]

functions = [format_tool_to_openai_function(t) for t in tools]
model_with_function = chat_model.bind(functions = functions)

prompt = ChatPromptTemplate.from_messages([("system","You are helpfull assistant.You can query from wikipedia if you donot know the answer of user query also you can check current weather temperature of any place."),
    MessagesPlaceholder(variable_name="chat_history"),
    ("user","{user_input}"),
    MessagesPlaceholder(variable_name="agent_scratchpad")])

chain = prompt | model_with_function | OpenAIFunctionsAgentOutputParser()

agent_chain = RunnablePassthrough.assign(
    agent_scratchpad = lambda x: format_to_openai_functions(x['intermediate_steps'])
) | chain


for msg in st.session_state["messages"]:
    st.chat_message(msg["role"]).write(msg["content"])

@st.cache_resource
def main():
    memory=ConversationBufferWindowMemory(return_messages=True,memory_key="chat_history",k=54)
    return AgentExecutor(agent=agent_chain,tools=tools,memory=memory)

def _main():
    if user_input:= st.chat_input("Send Message To GPT..."):
        st.chat_message("user").write(user_input)
        st.session_state.messages.append({"role":"user","content":user_input})
        response = main().invoke({'user_input':user_input})
        with st.chat_message("assistant"):
            st.write(response["output"])
            st.session_state.messages.append({"role":"assistant","content":response["output"]})
try:
    _main()
except Exception as error:
    st.error(error)