Here is an alphabetical list of the 50 states of the United States of America:
Additional
If you have any specific questions about any of these states, feel free to ask!
Private Golf Clubs in Alabama (Membership Required):
Explanation:
@page "/import-data": This directive makes this Blazor component accessible at the /import-data URL.@using Directives: These import necessary namespaces for configuration, Azure Blob Storage interaction, and your chosen SQL connector (in this case, MySqlConnector for MySQL).@inject IConfiguration Configuration: This injects the Blazor application's configuration, allowing you to access settings defined in appsettings.json or Azure App Configuration.<h1>Import Data from Azure Blob Storage to SQL</h1>.<p> to display the importMessage.<button> that triggers the ImportSpreadsheetData method when clicked. The button is disabled while the import is in progress.@code Block: This section contains the C# logic for the component.importMessage: A string variable to hold the status message of the import process.ImportSpreadsheetData() (async Task): This asynchronous method handles the data import process.importMessage to "Importing data..." and calls StateHasChanged() to update the UI.try...catch...finally): Encloses the import logic in a try...catch block to handle potential errors and a finally block to ensure the UI is updated.appsettings.json or Azure App Configuration.BlobServiceClient, BlobContainerClient, and BlobClient objects to interact with your Azure Blob Storage.StreamReader to read the stream line by line.appsettings.json or Azure App Configuration. The key here is ConnectionStrings:Forest404DB.MySqlConnection (or your chosen SQL connection object) using the connection string.CREATE TABLE IF NOT EXISTS statement for the forest404 table with the specified columns and data types.MySqlCommand object and executes the query.INSERT INTO statement with parameterized placeholders (@business_url, etc.) to prevent SQL injection.MySqlCommand for the INSERT statement for each data row.AddWithValue().INSERT command asynchronously.rowCount.importMessage with the number of rows imported.importMessage with the error message and logs the error to the console.StateHasChanged() (in finally): Forces Blazor to re-render the component, updating the UI with the final importMessage.Azure Configuration Steps:
appsettings.json: Add the following configuration (replace the placeholder values):
{ "AzureBlobStorage": { "ConnectionString": "YOUR_STORAGE_ACCOUNT_CONNECTION_STRING", "ContainerName": "data-import", "BlobName": "spreadsheet_data.csv" }, "ConnectionStrings": { "Forest404DB": "YOUR_MYSQL_CONNECTION_STRING" }, // ... other settings}Azure App Configuration (Optional but Recommended for Production): Instead of appsettings.json, you can store these sensitive configuration values in Azure App Configuration and configure your Blazor application to use it. This is a more secure way to manage configuration in production.
forest404 database.ConnectionStrings:Forest404DB in your Blazor application's configuration with this MySQL connection string.Azure.Storage.BlobsMySqlConnector (or Microsoft.EntityFrameworkCore.SqlServer if you're using SQL Server)Microsoft.Extensions.ConfigurationTo Run This:
/import-data page in your browser.importMessage will update to show the progress or any errors.Important Considerations and Potential Improvements:
.xlsx), you would need to incorporate a library like EPPlus.async and await for non-blocking operations, which is good practice for Blazor applications to maintain responsiveness.@inject IConfiguration is a good example of dependency injection in Blazor.This comprehensive example provides a solid foundation for importing data from Azure Blob Storage into a SQL database using C# and Blazor on Azure. Remember to adapt the configuration and data processing logic to your specific needs.
import gspreadfrom google.oauth2.service_account import Credentialsimport mysql.connector# --- 1. Google Sheets Configuration ---# Replace with the name of your Google SheetSPREADSHEET_NAME = "Your Google Sheet Name Here"# Replace with the name of the worksheet containing the dataWORKSHEET_NAME = "Sheet1"# Path to your Google Sheets API credentials JSON fileCREDENTIALS_FILE = "path/to/your/credentials.json"# --- 2. MySQL Database Configuration ---DB_CONFIG = { 'host': 'your_mysql_host', 'user': 'your_mysql_user', 'password': 'your_mysql_password', 'database': 'your_mysql_database'}# --- 3. SQL Table Name ---TABLE_NAME = "forest404"def get_spreadsheet_data(): """Connects to Google Sheets and retrieves the data.""" try: # Authenticate with Google Sheets API scope = [ 'https://www.googleapis.com/auth/spreadsheets', 'https://www.googleapis.com/auth/drive' ] creds = Credentials.from_service_account_file(CREDENTIALS_FILE, scopes=scope) gc = gspread.authorize(creds) # Open the spreadsheet and select the worksheet spreadsheet = gc.open(SPREADSHEET_NAME) worksheet = spreadsheet.worksheet(WORKSHEET_NAME) # Get all values from the worksheet (including headers) data = worksheet.get_all_values() return data except Exception as e: print(f"Error accessing Google Sheets: {e}") return Nonedef create_table(cursor): """Creates the SQL table if it doesn't exist.""" try: create_table_query = f""" CREATE TABLE IF NOT EXISTS {TABLE_NAME} ( id INT AUTO_INCREMENT PRIMARY KEY, business_url VARCHAR(255), genre VARCHAR(255), meta_data TEXT, description TEXT, seo TEXT, county_state VARCHAR(255) ) """ cursor.execute(create_table_query) print(f"Table '{TABLE_NAME}' created or already exists.") except mysql.connector.Error as err: print(f"Error creating table: {err}")def import_data(cursor, data): """Imports the data from the spreadsheet into the SQL table.""" if not data or len(data) < 2: print("No data found in the spreadsheet or missing header row.") return headers = [header.lower().replace(' ', '_') for header in data[0]] expected_headers = ['business_url', 'genre', 'meta_data', 'description', 'seo', 'county-state'] if headers != expected_headers: print(f"Error: Spreadsheet headers do not match expected columns: {expected_headers}. Found: {headers}") return insert_query = f""" INSERT INTO {TABLE_NAME} (business_url, genre, meta_data, description, seo, `county-state`) VALUES (%s, %s, %s, %s, %s, %s) """ row_count = 0 try: for row in data[1:]: # Skip the header row cursor.execute(insert_query, row) row_count += 1 db_connection.commit() print(f"{row_count} rows imported successfully into '{TABLE_NAME}'.") except mysql.connector.Error as err: print(f"Error importing data: {err}") db_connection.rollback()if __name__ == "__main__": # Get data from Google Sheets spreadsheet_data = get_spreadsheet_data() if spreadsheet_data: try: # Connect to MySQL db_connection = mysql.connector.connect(**DB_CONFIG) cursor = db_connection.cursor() # Create the table if it doesn't exist create_table(cursor) # Import the data import_data(cursor, spreadsheet_data) except mysql.connector.Error as err: print(f"Error connecting to MySQL: {err}") finally: # Close the database connection if 'db_connection' in locals() and db_connection.is_connected(): cursor.close() db_connection.close() print("MySQL connection closed.")