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feat: litestar application #392

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Dec 20, 2024
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27 changes: 27 additions & 0 deletions lessons/232/python-litestar-app/.dockerignore
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*.pyc
*.pyo
*.mo
*.db
*.css.map
*.egg-info
*.sql.gz
.cache
.project
.idea
.pydevproject
.idea/workspace.xml
.DS_Store
.git/
.sass-cache
.vagrant/
__pycache__
dist
docs
env
logs
src/{{ project_name }}/settings/local.py
src/node_modules
web/media
web/static/CACHE
stats
Dockerfile
168 changes: 168 additions & 0 deletions lessons/232/python-litestar-app/.gitignore
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# UV
# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
#uv.lock

# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock

# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
27 changes: 27 additions & 0 deletions lessons/232/python-litestar-app/Dockerfile
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FROM python:3.12-slim-bookworm AS build

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
&& rm -rf /var/lib/apt/lists/*

WORKDIR /app

RUN pip install --upgrade pip
COPY ./requirements.txt /app/requirements.txt
RUN pip install --no-cache-dir -r /app/requirements.txt

FROM python:3.12-slim-bookworm

ENV PYTHONUNBUFFERED=1

WORKDIR /app

COPY --from=build /usr/local/lib/python3.12/site-packages /usr/local/lib/python3.12/site-packages
COPY --from=build /usr/local/bin /usr/local/bin

COPY . /app

CMD ["gunicorn", "-w", "4", "-k", "uvicorn.workers.UvicornWorker", "--timeout", "60", "--graceful-timeout", "60", "--log-level", "error", "main:app", "--bind", "0.0.0.0:8000"]
87 changes: 87 additions & 0 deletions lessons/232/python-litestar-app/db.py
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from __future__ import annotations

import logging
import os
from contextlib import asynccontextmanager
from typing import AsyncGenerator

import aiomcache
import asyncpg

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)


POSTGRES_URI = os.environ["POSTGRES_URI"]
POSTGRES_POOL_SIZE = int(os.environ["POSTGRES_POOL_SIZE"])
MEMCACHED_HOST = os.environ["MEMCACHED_HOST"]
MEMCACHED_POOL_SIZE = int(os.environ["MEMCACHED_POOL_SIZE"])


class Database:
__slots__ = ("_pool",)

def __init__(self, pool: asyncpg.Pool):
self._pool = pool

@staticmethod
async def from_postgres() -> Database:
"""Create connection pool if it doesn't exist"""
try:
pool = await asyncpg.create_pool(
POSTGRES_URI,
min_size=10,
max_size=POSTGRES_POOL_SIZE,
max_inactive_connection_lifetime=300,
)
logger.info("Database pool created: %s", pool)

return Database(pool)
except asyncpg.exceptions.PostgresError as e:
logging.error(f"Error creating PostgreSQL connection pool: {e}")
raise ValueError("Failed to create PostgreSQL connection pool")
except Exception as e:
logging.error(f"Unexpected error while creating connection pool: {e}")
raise

@asynccontextmanager
async def get_connection(self) -> AsyncGenerator[asyncpg.Connection, None]:
"""Get database connection from pool"""
async with self._pool.acquire() as connection:
logger.info("Connection acquired from pool")
yield connection
logger.info("Connection released back to pool")

async def close(self):
"""Close the pool when shutting down"""
await self._pool.close()
logger.info("Database pool closed")


class MemcachedClient:
__slots__ = ("_client",)

def __init__(self, client: aiomcache.Client):
self._client = client

@staticmethod
async def initialize() -> MemcachedClient:
"""Initialize the Memcached client with connection pooling"""
try:
client = aiomcache.Client(
host=MEMCACHED_HOST, pool_size=MEMCACHED_POOL_SIZE
)
logger.info(f"Memcached client created: {client}")
return MemcachedClient(client)
except Exception:
logging.exception("Error creating Memcached client")
raise ValueError("Failed to create Memcached client")

async def close(self):
"""Close the Memcached client"""
await self._client.close()
logger.info("Memcached client closed")

def get_client(self) -> aiomcache.Client:
"""Get the Memcached client instance"""
return self._client
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