async def fetch_solar_data(session, latitude, longitude, cache):
    if not SolarDataValidator.validate_coordinates(latitude, longitude):
        logger.error(f"Invalid coordinates: ({latitude}, {longitude})")
        return None

    cache_key = f"solar_data_{latitude}_{longitude}"
    if cache_key in cache:
        return cache[cache_key]

    api_url = "https://power.larc.nasa.gov/api/temporal/daily/point"
    params = {
        "parameters": "ALLSKY_SFC_SW_DWN",
        "community": "SB",
        "longitude": longitude,
        "latitude": latitude,
        "start": "20200101",
        "end": "20201231",
        "format": "JSON"
    }

    try:
        await rate_limiter.acquire()
        async with session.get(api_url, params=params, timeout=30) as response:
            if response.status == 429:
                logger.warning("Rate limit exceeded, backing off...")
                rate_limiter.current_backoff = max(rate_limiter.current_backoff * rate_limiter.backoff_factor, 5)
                return None
            elif response.status != 200:
                logger.error(f"Error {response.status} for ({latitude}, {longitude})")
                return None

            data = await response.json()
            solar_data = data.get("properties", {}).get("parameter", {}).get("ALLSKY_SFC_SW_DWN", {})
            if not solar_data:
                return None

            daily_values = [
                SolarDataValidator.convert_radiation(value)
                for value in solar_data.values()
                if SolarDataValidator.validate_radiation(value)
            ]
            if not daily_values:
                return None

            avg_radiation = round(sum(daily_values) / len(daily_values), 2)
            result = {
                "latitude": latitude,
                "longitude": longitude,
                "potential": avg_radiation,
                "min_radiation": round(min(daily_values), 2),
                "max_radiation": round(max(daily_values), 2)
            }
            cache[cache_key] = result
            return result

    except Exception as e:
        logger.error(f"Error fetching data for ({latitude}, {longitude}): {e}")
        return None

The code above represents a successful working example of fetching data from NASA power API. Can you please modify the code below so that it also fetches the data it wants like the code above?

def fetch_state_data(state, lat, lon, parameters, start_date, end_date, community="AG"):
    """
    Fetch climate data for a specific state from the NASA Power API.

    Args:
        state (str): Name of the state.
        lat (float): Latitude of the state's centroid.
        lon (float): Longitude of the state's centroid.
        parameters (str): Climate parameters to fetch.
        start_date (str): Start date in YYYYMM format.
        end_date (str): End date in YYYYMM format.
        community (str): Community parameter for the API. Defaults to "AG" (Agroclimatology).

    Returns:
        DataFrame: Climate data for the state or empty DataFrame if failed.
    """
    import requests
    import pandas as pd
    from io import StringIO
    from datetime import datetime, date

    # Validate dates
    current_date = date.today()
    try:
        # Convert YYYYMM to datetime for comparison
        start_dt = datetime.strptime(start_date, "%Y%m").date()
        end_dt = datetime.strptime(end_date, "%Y%m").date()
        
        # Adjust end date if it's in the future
        if end_dt > current_date:
            end_dt = current_date
            end_date = current_date.strftime("%Y%m")
            print(f"Adjusted end date to current date: {end_date}")
        
        # Convert to YYYYMMDD format for API
        start_date = start_dt.strftime("%Y%m01")
        end_date = end_dt.strftime("%Y%m01")
    except ValueError as e:
        print(f"Date format error: {e}")
        return pd.DataFrame()

    base_url = "https://power.larc.nasa.gov/api/temporal/monthly/point"
    params = {
        "parameters": parameters,
        "longitude": f"{lon:.4f}",
        "latitude": f"{lat:.4f}",
        "start": start_date,
        "end": end_date,
        "format": "CSV",
        "community": community  # Always include community parameter
    }

    print(f"Fetching data for {state} (Lat: {lat}, Lon: {lon})")
    print(f"Request parameters: {params}")
    
    try:
        response = requests.get(base_url, params=params, timeout=30)
        response.raise_for_status()
        
        if response.status_code == 204:
            print(f"No data available for {state}")
            return pd.DataFrame()

        csv_content = response.text
        csv_lines = csv_content.splitlines()

        # Dynamically find the header line containing 'YYYYMM'
        header_line = None
        for idx, line in enumerate(csv_lines):
            if 'YYYYMM' in line:
                header_line = idx
                break

        if header_line is not None and len(csv_lines) > header_line + 1:
            csv_data = '\n'.join(csv_lines[header_line:])
            state_data = pd.read_csv(StringIO(csv_data))
            
            # Check if necessary columns are present
            expected_columns = ['YYYYMM'] + parameters.split(',')
            missing_columns = [col for col in expected_columns if col not in state_data.columns]
            
            if not missing_columns:
                state_data['State'] = state
                return state_data
            else:
                print(f"Missing columns for {state}: {missing_columns}")
                return pd.DataFrame()
        else:
            print(f"No data found for {state}.")
            return pd.DataFrame()
            
    except requests.exceptions.HTTPError as http_err:
        print(f"HTTP error occurred for {state}: {http_err}")
        if response.status_code == 422:
            print(f"API Request parameters: {params}")
            print("Possible issues:")
            print("1. Date range might be invalid")
            print("2. Coordinates might be outside valid range")
            print("3. Parameters might be invalid for the selected community")
        return pd.DataFrame()
    except requests.exceptions.Timeout:
        print(f"Request timed out for {state}")
        return pd.DataFrame()
    except Exception as err:
        print(f"Other error occurred for {state}: {err}")
        return pd.DataFrame()