import json
import os
from datetime import date, datetime
from pathlib import Path

import plotly.graph_objects as go
from dotenv import load_dotenv
from fastapi import Depends, FastAPI, Request
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import HTMLResponse, Response
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
from mistralai.client import ChatMessage, MistralClient
from pydantic import BaseModel

from weather import get_weather

# code that gives the date of today
today = date.today()
today = today.strftime("%Y-%m-%d")


# Hugging face space secret retrieval:
def create_env_file():
    import os

    secrets = ['MISTRAL_API_KEY', 'AGRO_API_KEY', 'OPENCAGE_API_KEY']
    for secret in secrets:
        secret_value = os.environ[secret]
        if secret_value is None:
            print(f"Please set the environment variable {secret}")
        else:
            with open('.env', 'a') as f:
                f.write(f"{secret}={secret_value}\n")

# Hugging face space secret retrieval:
production = False
if production:
    create_env_file()


# Load environment variables
load_dotenv()
api_key = os.getenv('MISTRAL_API_KEY')
client = MistralClient(api_key=api_key)
model = 'mistral-small'

title = "Gaia Mistral Chat Demo"
description = "Example of simple chatbot with Gradio and Mistral AI via its API"
placeholder = "Posez moi une question sur l'agriculture"
examples = ["Comment fait on pour produire du maïs ?",
            "Rédige moi une lettre pour faire un stage dans une exploitation agricole", "Comment reprendre une exploitation agricole ?"]


# create a FastAPI app
app = FastAPI()

# Add CORS middleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],  # Allows all origins
    allow_credentials=True,
    allow_methods=["*"],  # Allows all methods
    allow_headers=["*"],  # Allows all headers
)
# create a static directory to store the static files
static_dir = Path('./static')
static_dir.mkdir(parents=True, exist_ok=True)

# mount FastAPI StaticFiles server
app.mount("/static", StaticFiles(directory=static_dir), name="static")

# templating
templates = Jinja2Templates(directory="static")


def create_world_map(lat, lon):

    fig = go.Figure(go.Scattermapbox(
        lat=[lat],
        lon=[lon],
        mode='markers',
        marker=go.scattermapbox.Marker(size=14),
        text=['Location'],
    ))

    fig.update_layout(
        mapbox_style="open-street-map",
        hovermode='closest',
        mapbox=dict(
            bearing=0,
            center=go.layout.mapbox.Center(
                lat=lat,
                lon=lon,
            ),
            pitch=0,
            zoom=5
        ),
    )

    return fig




def chat_with_mistral(user_input):
    messages = [ChatMessage(role="user", content=user_input)]

    chat_response = client.chat(model=model, messages=messages)
    return chat_response.choices[0].message.content


# Profile stuff
class UserProfile(BaseModel):
    name: str
    age: int
    location: str
    lat: float
    lon: float


class UserLocation(BaseModel):
    city: str


class Weather(BaseModel):
    temperature: float
    weather: str


@app.post("/user_profile")
def save_user_profile(user_profile: UserProfile):
    with open('user_profile.json', 'w') as f:
        json.dump(user_profile.dict(), f)
    return user_profile.dict()


@app.get("/user_profile")
def load_user_profile():
    with open('user_profile.json', 'r') as f:
        user_profile = json.load(f)
    return UserProfile(**user_profile)


@app.put("/user_profile")
def update_user_profile(user_profile: UserProfile):
    with open('user_profile.json', 'w') as f:
        json.dump(user_profile.dict(), f)
    return user_profile


@app.get("/weather")
def load_weather():
    with open('Weather.json', 'r') as f:
        w = json.load(f)
    return Weather(**w)

# Load user location


def load_user_location():
    with open('user_location.json', 'r') as f:
        user_location = json.load(f)
    return UserLocation(**user_location)

# Save weather information


def save_weather(weather: Weather):

    with open('Weather.json', 'w') as f:
        json.dump(weather.dict(), f)


@app.post("/user_location")
async def set_user_location(user_location: UserLocation):
    # Save the user location as a JSON file
    with open('user_location.json', 'w') as f:
        json.dump(user_location.dict(), f)
    response = Response(headers={"Location": "/home"})
    response.status_code = 303
    return response

# load user profile on startup
user_profile = load_user_profile()
weather = load_weather()


@app.get("/", response_class=HTMLResponse)
async def enter_location():
    return """
    <h1>Welcome to Gaia Mistral Chat Demo</h1>
    <p> Debug tool: API docs available at <a href="/docs">/docs</a></p>
    <form id="locationForm">
        <label for="city">Enter your city:</label><br>
        <input type="text" id="city" name="city"><br>
        <input type="submit" value="Submit">
    </form>
    <script>
    document.getElementById('locationForm').addEventListener('submit', function(event) {
        event.preventDefault();
        var city = document.getElementById('city').value;
        fetch('/user_location', {
            method: 'POST',
            headers: {
                'Content-Type': 'application/json',
            },
            body: JSON.stringify({city: city}),
        })
        .then(response => {
            if (response.ok) {
                window.location.href = "/home";
            }
        });
    });
    </script>
    """
# Home page : using the user profile, display the weather and chat with Mistral AI


@app.get("/home", response_class=HTMLResponse)
async def home(
    request: Request,
    user_profile: UserProfile = Depends(load_user_profile),
    weather: Weather = Depends(load_weather),
):

    with open('user_location.json', 'r') as f:
        user_location = json.load(f)
    # Get weather data for the user location
    weather_data, lat, lon = get_weather(user_location['city'], today)
    # Convert the keys to datetime objects
    weather_times = {datetime.strptime(
        time, '%Y-%m-%d %H:%M:%S'): info for time, info in weather_data.items()}
    # Find the time closest to the current time
    current_time = datetime.now()
    closest_time = min(weather_times.keys(),
                       key=lambda time: abs(time - current_time))
    # Extract weather information for the closest time
    weather_info = weather_times[closest_time]
    # Extract temperature and weather from the weather information
    temperature = float(weather_info.split(
        ', ')[1].split('°C')[0].split(': ')[1])
    weather = weather_info.split(', ')[2].split(': ')[1]
    # Create a Weather object from the weather data
    weather = Weather(temperature=temperature, weather=weather)
    temperature = weather.temperature
    weather = weather.weather

    # create the map
    fig = create_world_map(lat, lon)
    # save the map as a file
    map_file = static_dir / "map.html"
    fig.write_html(str(map_file))
    # display the map
    map_html = f'<iframe src="/static/map.html" width="100%" height="100%" ></iframe>'

    return templates.TemplateResponse("layout.html", {"request": request, "user_profile": user_profile, "weather": weather, "map_html": map_html})

class ChatInput(BaseModel):
    user_input: str


@app.post("/chat")
async def chat(chat_input: ChatInput):
    print(chat_input.user_input)
    return chat_with_mistral(chat_input.user_input)