import os import sys from datetime import datetime from pathlib import Path import plotly.graph_objects as go import uvicorn from dotenv import load_dotenv from fastapi import FastAPI, Depends, Request from fastapi.staticfiles import StaticFiles from mistralai.client import ChatMessage, MistralClient from pydantic import BaseModel import json from fastapi.responses import HTMLResponse, RedirectResponse, Response from datetime import date from weather import get_weather from fastapi.templating import Jinja2Templates # code that gives the date of today today = date.today() today = today.strftime("%Y-%m-%d") # Load environment variables load_dotenv() api_key = os.getenv('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() # 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 """


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