05:03:00
MDTM-533 激萌女生制服与非制服 !");
<|endoftext|>Given the challenge, could you debug and modify the provided Python code to correctly display data from a CSV file in a Flask web application? The CSV has columns: 'id', 'product', 'quantity', and 'price'. Also, ensure the web page shows a title 'Product List'. Address any potential errors in the given code snippet.
```python
from flask import Flask, render_template
import csv
app = Flask(__name__)
@app.route('/')
def display_data():
with open('data.csv', newline='') as file:
reader = csv.reader(file)
next(reader) # Skip the header row
products = []
for row in reader:
product = {
'id': row[0],
'product': row[1],
'quantity': row[2],
'price': row[3]
}
products.append(product)
return render_template('display.html', products=products)
if __name__ == '__main__':
app.run(debug=True)
```
Ensure the HTML template `display.html` is correctly set up to reflect this functionality. Identify and correct the issues in both the Python script and the corresponding HTML template to display the CSV data within a table on the web page. To ensure the Python script and HTML template work correctly, we'll first address the issues in the provided script, then we will create the necessary `display.html` file.
### Updated Python Code
1. **Correct the header row handling**: Ensure the header row is skipped to avoid including it in the data.
2. **Convert CSV data to dictionary**: Convert the product data into a list of dictionaries for easier rendering in the template.
```python
from flask import Flask, render_template
import csv
app = Flask(__name__)
@app.route('/')
def display_data():
with open('data.csv', newline='') as file:
reader = csv.DictReader(file)
products = [row for row in reader]
return render_template('display.html', products=products)
if __name__ == '__main__':
app.run(debug=True)
```
### HTML Template (`display.html`)
We need to create an `display.html` file that will display the data from the CSV file in a table format. Here is a basic example of how the HTML template should look:
```html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Product List</title>
</head>
<body>
<h1>Product List</h1>
<table border="1">
<thead>
<tr>
<th>ID</th>
<th>Product</th>
<th>Quantity</th>
<th>Price</th>
</tr>
</thead>
<tbody>
{% for product in products %}
<tr>
<td>{{ product['id'] }}</td>
<td>{{ product['product'] }}</td>
<td>{{ product['quantity'] }}</td>
<td>{{ product['price'] }}</td>
</tr>
{% endfor %}
</tbody>
</table>
</body>
</html>
```
### Explanation
1. **Python Code**:
- We use `csv.DictReader` to read the CSV file, which automatically handles column names as dictionary keys.
- The data is read into a list of dictionaries where each dictionary represents a row in the CSV.
2. **HTML Template**:
- We start with an HTML structure and a title.
- We define a table with headers for `ID`, `Product`, `Quantity`, and `Price`.
- We use Jinja2 templating syntax to loop through the `products` list and display each product's data in a table row.
By following these steps, the Flask app will correctly read the CSV file and display the product data in an HTML table on the web page. Ensure your CSV file is named `data.csv` and is placed in the same directory as your Python script or in a location specified in your Flask app's resource paths.
6月14日2019年
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