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Build Your First Personal Blog in 10 Minutes

Using Python 3, Flask, and a lightweight SQLite database

> This quick‑start guide will give you
a fully functional blog that you can run locally or deploy to any platform (Heroku, Render,
Fly.io, etc.). No fancy front‑end framework required
– just plain HTML templates and a bit of CSS.

—

1. Overview

Feature How it works

Posts Stored in an SQLite table (`posts`) with `id`, `title`, `body`, and timestamps.

| Routing | Flask handles URLs: `/` (home), `/post/` (view), `/new` (create).
|
| Templates | Jinja2 templates (`base.html`, `index.html`, `post.html`, `form.html`).
|
| Styling | Minimal CSS in `static/style.css`.

|

—

2. Project Structure

project/
├── app.py
├── static/
│ └── style.css
└── templates/
├── base.html
├── index.html
├── post.html
└── form.html

`app.py`: Main Flask application.

`static/`: Folder for CSS, images, etc.

`templates/`: HTML templates.

3. Code Walkthrough

3.1 app.py

from flask import Flask, render_template, request, redirect, url_for
import sqlite3

app = Flask(__name__)

———- Database Helper ———-

def get_db_connection():
conn = sqlite3.connect(‘database.db’)
conn.row_factory = sqlite3.Row
Enable dict-like access

return conn

def init_db():
conn = get_db_connection()
with app.open_resource(‘schema.sql’) as f:
conn.executescript(f.read().decode())
conn.close()

———- Routes ———-

@app.route(‘/’)
def index():
conn = get_db_connection()
posts = conn.execute(‘SELECT FROM posts’).fetchall()
conn.close()
return render_template(‘index.html’, posts=posts)

@app.route(‘/create’, methods=(‘GET’, ‘POST’))
def create():
if request.method == ‘POST’:
title = request.form’title’
content = request.form’content’

if not title:
flash(‘Title is required.’)
else:
conn = get_db_connection()
conn.execute(‘INSERT INTO posts (title, content) VALUES (?, ?)’,
(title, content))
conn.commit()
conn.close()
return redirect(url_for(‘index’))

return render_template(‘create.html’)

@app.route(‘/post/’)
def post(id):
conn = get_db_connection()
post = conn.execute(‘SELECT FROM posts WHERE id = ?’, (id,)).fetchone()
conn.close()

if post is None:
abort(404)

return render_template(‘post.html’, post=post)

if name == ‘__main__’:
app.run(debug=True)

This script sets up a Flask application with routes for displaying blog posts and creating
new ones. Adjust the database queries according to your actual
schema and requirements. If you need further help on specific aspects, feel
free to ask!

It looks like you’ve posted the same code as before. Is there
something specific you’d like me to help with regarding this
script?

Absolutely! Let’s take a look at how we can improve
or modify your Flask application for better functionality, scalability,
and maintainability. Here are some common enhancements you might
consider:

1. Database Integration

If you’re not already using an ORM like SQLAlchemy or Flask-SQLAlchemy, it
would be beneficial to integrate one. This simplifies database interactions and improves code readability.

Example with Flask-SQLAlchemy:

from flask_sqlalchemy import SQLAlchemy

app.config’SQLALCHEMY_DATABASE_URI’ = ‘sqlite:///yourdatabase.db’
db = SQLAlchemy(app)

class User(db.Model):
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(80), unique=True, nullable=False)

Create tables

with app.app_context():
db.create_all()

2. Error Handling and Logging

Implement robust error handling using Flask’s error handlers and Python’s
logging module to capture and log errors effectively.

Example:

import logging

logging.basicConfig(filename=’app.log’, level=logging.INFO)

@app.errorhandler(404)
def not_found_error(error):
app.logger.warning(f’404 Not Found: request.url’)
return ‘Page not found.’, 404

@app.errorhandler(Exception)
def internal_error(error):
app.logger.error(‘An error occurred: %s’, error, exc_info=True)
return ‘Internal server error.’, 500

3. Testing and Continuous Integration

Use testing frameworks like `pytest` to write unit tests for your application logic and integration tests for the API endpoints.

pip install pytest

Create test files following a standard structure:

def test_my_endpoint():
client = app.test_client()
response = client.get(‘/my-endpoint’)
assert response.status_code == 200

Integrate these tests into your CI pipeline to catch regressions early.

4. Performance and Scalability

Profiling: Use `cProfile` or external tools like `py-spy` to identify bottlenecks.

Caching: Cache expensive computations or database queries using in-memory caches (e.g., Redis) or local caching libraries (`functools.lru_cache`).

Parallelism: Leverage asynchronous frameworks (`asyncio`, `FastAPI`) if I/O-bound, or multiprocessing for CPU-bound workloads.

5. Security

Sanitize all inputs to prevent injection attacks.

Validate and encode outputs appropriately (e.g., JSON escaping).

Use secure libraries for cryptographic operations (`cryptography`).

Part 4: Practical Implementation – A Working Python Example

Below is a complete, annotated script that demonstrates the concepts discussed:

/usr/bin/env python3

“””
Demo of safe I/O handling, error reporting, and resource cleanup.
Author: Your Name
“””

import sys
import os
from contextlib import suppress

———————————————————————-

Configuration

———————————————————————-

INPUT_FILE = “input.txt”
change to your actual file path

OUTPUT_FILE = “output.txt”

———————————————————————-

Helper Functions

———————————————————————-

def safe_open_read(path):
“””Return a file object opened for reading, or exit on error.”””
try:
return open(path, mode=’r’, encoding=’utf-8′)
except OSError as exc:
sys.stderr.write(f”Error opening input file ‘path’: exc
“)
sys.exit(1)

def safe_open_write(path):
“””Return a file object opened for writing, or exit on error.”””
try:
return open(path, mode=’w’, encoding=’utf-8′)
except OSError as exc:
sys.stderr.write(f”Error opening output file ‘path’: exc
“)
sys.exit(1)

def main():

Read all lines from input

with safe_open_read(INPUT_FILE) as infile:
lines = line.rstrip(‘
‘) for line in infile

Write lines to output

with safe_open_write(OUTPUT_FILE) as outfile:
for line in lines:
outfile.write(line + ‘
‘)

if name == “__main__”:
main()

4. Run the script

python3 test_script.py

You should see `output.txt` created with the same content as `input.txt`.

—

What’s happening under the hood?

`os.system()`

– Executes a command string in a subshell (`/bin/sh`).

– The command is parsed by the shell (e.g., quoting, globbing).

– Any error codes are returned via the process exit status.

`subprocess.run()`

– Spawns a new child process directly from Python.

– Bypass the shell unless `shell=True`.

– Provides richer API: capture stdout/stderr, check return code, timeout, etc.

File I/O (`open()`)

– Uses Python’s built‑in file object; buffered reads/writes.

– Handles text/bytes modes, newline translation, and context management.

Common Pitfalls

Problem Symptoms Fix

Not closing files Memory leaks, data not flushed Use `with open(…) as f:`

Reading binary with `’r’` instead of `’rb’` UnicodeDecodeError or data corruption Specify binary mode

Buffering issues when writing large strings Data lost on crash Flush/close file explicitly

Using the wrong newline handling (`’
‘` vs `os.linesep`) Wrong line endings in cross‑platform files Use `newline=”` or `linesep`

Forgetting to set encoding when opening text files Unexpected Unicode errors Provide `encoding=’utf-8’`

—

4. What’s the best practice?

Task Recommended approach Why?

Reading a small file (

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