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mpabi 2024-06-20 06:27:54 +00:00
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./script/__
./src/__build
./src/__n1
./src/__run
./src/__run2
./src/__uvicorn
./src/_confs
./src/_confs/.vimrc
./src/_confs/.tmux.conf
./src/app/database.py
./src/app/main.py
./src/app/models.py
./src/app/schemas.py
./src/entrypoint.py
./src/poetry.lock
./src/pyproject.toml
./src/static/index.html
./src/static/script.js
./src/static/style.css
./src/Dockerfile-kopia
./src/php/Dockerfile
./src/Dockerfile
./src/__incus-proxy
./src/__docker-portainer
./src/docker-compose.yaml
./tex/backend/main.pdf
./tex/backend/main.tex
./tex/devops/main.pdf
./tex/devops/main.tex
./tex/fronted/main.pdf
./tex/fronted/main.tex
./__tracked-files

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#!/bin/bash
f() {
for i in {1..5}; do
curl -X 'POST' \
"http://$1:9999/api/" \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"type": "Item",
"quantity": 1,
"address": "Example Address '"$i"'"
}'
done
}
f $1

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# Choose a base image. Debian is a good choice due to pyenv
FROM debian:latest
# Update the package list and install necessary dependencies
RUN apt-get update && apt-get install -y \
aptitude \
tmux vim-nox nano mc git curl termshark procps \
sudo iproute2 iputils-ping bridge-utils \
ifupdown udev make build-essential libssl-dev zlib1g-dev \
libbz2-dev libreadline-dev libsqlite3-dev wget llvm libncurses5-dev \
libncursesw5-dev xz-utils libffi-dev liblzma-dev \
sqlite3 default-libmysqlclient-dev pkg-config
# Set password for root user (optional, for configuration)
RUN echo 'root:rootpass' | chpasswd
# Add a new user `user` with password `pass` and prepare the environment
RUN useradd -m user && echo 'user:pass' | chpasswd && adduser user sudo
# Switch to user `user`
USER user
WORKDIR /home/user
# Install pyenv
RUN git clone https://github.com/pyenv/pyenv .pyenv
# Install pyenv-virtualenv
RUN git clone https://github.com/pyenv/pyenv-virtualenv .pyenv/plugins/pyenv-virtualenv
# Set environment variables
ENV HOME /home/user
ENV PYENV_ROOT $HOME/.pyenv
ENV PATH $PYENV_ROOT/shims:$PYENV_ROOT/bin:$PATH
# Add pyenv and pyenv-virtualenv configuration to .bashrc
RUN echo 'export PYENV_ROOT="$HOME/.pyenv"' >> .bashrc
RUN echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> .bashrc
RUN echo 'eval "$(pyenv init -)"' >> .bashrc
RUN echo 'eval "$(pyenv virtualenv-init -)"' >> .bashrc
# Install Python 3.11 with --enable-shared
RUN bash -i -c "source ~/.bashrc && env PYTHON_CONFIGURE_OPTS='--enable-shared' pyenv install 3.11"
# Create a virtual environment p3.11
RUN bash -i -c "source ~/.bashrc && pyenv virtualenv 3.11 p3.11"
# Set p3.11 as the default virtual environment
RUN bash -i -c "source ~/.bashrc && pyenv local p3.11"
# Install Poetry
RUN curl -sSL https://install.python-poetry.org | python3 -
# Add Poetry path to PATH directly in the Dockerfile
ENV PATH="$HOME/.local/bin:$PATH"
# Install SQLAlchemy and MySQL adapter in the pyenv environment
RUN bash -i -c "source ~/.bashrc && pyenv activate p3.11 && pip install sqlalchemy mysqlclient"
# Copy the project into the image
COPY --chown=user:user . /home/user/fapi
COPY ./_confs/* ./
# Set the working directory for installing dependencies
WORKDIR /home/user/fapi
RUN bash -i -c "source ~/.bashrc && poetry config virtualenvs.create false && poetry install"
# Copy the .vimrc file
#COPY --chown=user:user .vimrc /home/user/.vimrc
# Install vim-plug using curl
RUN curl -fLo ~/.vim/autoload/plug.vim --create-dirs \
https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim
# Install Vim plugins
RUN vim +PlugInstall +qall
# Run the application
#CMD ["/bin/bash", "-c", "python entrypoint.py"]
# Run Bash
CMD ["/bin/bash"]

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# Choose a base image. Debian is a good choice due to pyenv
FROM debian:latest
# Update the package list and install necessary dependencies
RUN apt-get update && apt-get install -y \
aptitude \
tmux vim-nox nano mc git curl termshark procps \
sudo iproute2 iputils-ping bridge-utils \
ifupdown udev make build-essential libssl-dev zlib1g-dev \
libbz2-dev libreadline-dev libsqlite3-dev wget llvm libncurses5-dev \
libncursesw5-dev xz-utils libffi-dev liblzma-dev \
sqlite3 default-libmysqlclient-dev pkg-config \
npm htop
# Set password for root user (optional, for configuration)
RUN echo 'root:rootpass' | chpasswd
# Add a new user `user` with password `pass` and prepare the environment
RUN useradd -m user && echo 'user:pass' | chpasswd && adduser user sudo
# Switch to user `user`
USER user
WORKDIR /home/user
# Install pyenv
RUN git clone https://github.com/pyenv/pyenv .pyenv
# Install pyenv-virtualenv
RUN git clone https://github.com/pyenv/pyenv-virtualenv .pyenv/plugins/pyenv-virtualenv
# Set environment variables
ENV HOME /home/user
ENV PYENV_ROOT $HOME/.pyenv
ENV PATH $PYENV_ROOT/shims:$PYENV_ROOT/bin:$PATH
# Add pyenv and pyenv-virtualenv configuration to .bashrc
RUN echo 'export PYENV_ROOT="$HOME/.pyenv"' >> .bashrc
RUN echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> .bashrc
RUN echo 'eval "$(pyenv init -)"' >> .bashrc
RUN echo 'eval "$(pyenv virtualenv-init -)"' >> .bashrc
# Install Python 3.11 with --enable-shared
RUN bash -i -c "source ~/.bashrc && env PYTHON_CONFIGURE_OPTS='--enable-shared' pyenv install 3.11"
# Create a virtual environment p3.11
RUN bash -i -c "source ~/.bashrc && pyenv virtualenv 3.11 p3.11"
# Set p3.11 as the default virtual environment, docker doesn't like ;)
RUN bash -i -c "source ~/.bashrc && pyenv local 3.11"
# Install Poetry
RUN curl -sSL https://install.python-poetry.org | python3 -
RUN curl -fLo ~/.vim/autoload/plug.vim --create-dirs \
https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim
# Copy the project into the image
COPY --chown=user:user . /home/user/fapi
COPY --chown=user:user ./_confs/* ./
COPY --chown=user:user ./static/* ./
# Set the working directory for installing dependencies
WORKDIR /home/user/fapi
# Add Poetry path to PATH directly in the Dockerfile
ENV PATH="$HOME/.local/bin:$PATH"
RUN bash -i -c "source ~/.bashrc && poetry config virtualenvs.create false && poetry install"
# Run the application
CMD ["/bin/bash", "-c", "python entrypoint.py"]

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docker build -t fapi .

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docker volume create portainer_data
docker run -d -p 8000:8000 -p 9443:9443 --name portainer --restart=always -v /var/run/docker.sock:/var/run/docker.sock -v portainer_data:/data portainer/portainer-ce:latest

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sudo incus config device add tri proxy-9443 proxy listen=tcp:0.0.0.0:9443 connect=tcp:0.0.0.0:9443

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docker run --rm \
-dit \
--privileged \
-p 9999:9999 \
-p 8888:8888 \
-v /home/user/work/py/fapi/fapi:/home/user/fapi \
--name f1 \
fapi

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docker run --rm -dit -p $2:9999 --name $1 fapi

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#. ./__run2 mpabi 1111
docker run --rm -dit -p $2:9999 --name $1 fapi bash

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poetry run uvicorn --reload app.main:app --host 0.0.0.0 --port 9999

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set-option -g default-command "bash --login"
# remap prefix to Control + a
set -g prefix C-s
# bind 'C-a C-a' to type 'C-a'
bind C-s send-prefix
unbind C-b
# synchronize all panes in a window
# don't use control S, too easily confused
# with navigation key sequences in tmux (show sessions)
unbind C-S
bind C-Y set-window-option synchronize-panes

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call plug#begin()
Plug 'tpope/vim-fugitive'
Plug 'tpope/vim-commentary'
Plug 'preservim/nerdtree', { 'on': 'NERDTreeToggle' }
Plug 'jupyter-vim/jupyter-vim'
Plug 'goerz/jupytext.vim'
Plug 'ConradIrwin/vim-bracketed-paste'
Plug 'rafi/awesome-vim-colorschemes'
Plug 'flazz/vim-colorschemes'
Plug 'neoclide/coc.nvim', {'branch': 'release'}
Plug 'jpalardy/vim-slime'
call plug#end()
nnoremap <leader>n :NERDTreeFocus<CR>
nnoremap <C-n> :NERDTree<CR>
nnoremap <C-t> :NERDTreeToggle<CR>
nnoremap <C-f> :NERDTreeFind<CR>
" Run current file
nnoremap <buffer> <silent> <localleader>R :JupyterRunFile<CR>
nnoremap <buffer> <silent> <localleader>I :PythonImportThisFile<CR>
" Change to directory of current file
nnoremap <buffer> <silent> <localleader>d :JupyterCd %:p:h<CR>
" Send a selection of lines
nnoremap <buffer> <silent> <localleader>X :JupyterSendCell<CR>
nnoremap <buffer> <silent> <localleader>E :JupyterSendRange<CR>
nmap <buffer> <silent> <localleader>e <Plug>JupyterRunTextObj
vmap <buffer> <silent> <localleader>e <Plug>JupyterRunVisual
" Debugging maps
nnoremap <buffer> <silent> <localleader>b :PythonSetBreak<CR>
set backspace=indent,eol,start
set mouse=r
packadd termdebug
let g:termdebug_wide=1
let g:termdebugger='riscv32-esp-elf-gdb'
" Disable compatibility with vi which can cause unexpected issues.
set nocompatible
" Enable type file detection. Vim will be able to try to detect the type of file in use.
filetype on
" Enable plugins and load plugin for the detected file type.
filetype plugin on
" Load an indent file for the detected file type.
filetype indent on
" Turn syntax highlighting on.
syntax on
" Add numbers to each line on the left-hand side.
set number
" Highlight cursor line underneath the cursor horizontally.
set cursorline
" Highlight cursor line underneath the cursor vertically.
" set cursorcolumn
" Set shift width to 4 spaces.
set shiftwidth=4
" Set tab width to 4 columns.
set tabstop=4
" Use space characters instead of tabs.
set expandtab
" Do not save backup files.
set nobackup
" Do not let cursor scroll below or above N number of lines when scrolling.
set scrolloff=10
" Do not wrap lines. Allow long lines to extend as far as the line goes.
set nowrap
" While searching though a file incrementally highlight matching characters as you type.
set incsearch
" Ignore capital letters during search.
set ignorecase
" Override the ignorecase option if searching for capital letters.
" This will allow you to search specifically for capital letters.
set smartcase
" Show partial command you type in the last line of the screen.
set showcmd
" Show the mode you are on the last line.
set showmode
" Show matching words during a search.
set showmatch
" Use highlighting when doing a search.
set hlsearch
" Set the commands to save in history default number is 20.
set history=1000
" Enable auto completion menu after pressing TAB.
set wildmenu
" Make wildmenu behave like similar to Bash completion.
set wildmode=list:longest
" There are certain files that we would never want to edit with Vim.
" Wildmenu will ignore files with these extensions.
set wildignore=*.docx,*.jpg,*.png,*.gif,*.pdf,*.pyc,*.exe,*.flv,*.img,*.xlsx
" set colorscheme OceanicNext
if !exists("g:slime_python_ipython")
let g:slime_python_ipython = 1
endif
let g:slime_target = "tmux"
" Run cell for vim-slime
function! SendCell(pattern)
let start_line = search(a:pattern, 'bnW')
if start_line
let start_line = start_line + 1
else
let start_line = 1
endif
let stop_line = search(a:pattern, 'nW')
if stop_line
let stop_line = stop_line - 1
else
let stop_line = line('$')
endif
call slime#send_range(start_line, stop_line)
endfunction
" Custom vim-slime mappings
let g:slime_no_mappings = 1
xmap <c-c><c-c> <Plug>SlimeRegionSend
nmap <c-c><c-c> :<c-u>call SendCell('^#%%')<cr>
nmap <c-c>v <Plug>SlimeConfig

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from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
"""
#SQLALCHEMY_DATABASE_URL = "sqlite:///./test.db" # SQLite
engine = create_engine(
SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False} # Opcja dla SQLite
)
"""
SQLALCHEMY_DATABASE_URL = "mysql+mysqlconnector://root:secret@qstack.pl:3306/mpabi" # Przykład dla MySQL
engine = create_engine(
SQLALCHEMY_DATABASE_URL,
)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()

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# app/main.py
from fastapi import FastAPI, Depends, HTTPException
from sqlalchemy.orm import Session
from sqlalchemy.orm import joinedload
from app import models, database, schemas # Importuj schematy
from fastapi.staticfiles import StaticFiles
from typing import List, Optional
app = FastAPI()
app.mount("/static", StaticFiles(directory="static"), name="static")
# Dependency
def get_db():
db = database.SessionLocal()
try:
yield db
finally:
db.close()
@app.post("/authors/", response_model=schemas.AuthorModel)
def create_author(author: schemas.AuthorCreate, db: Session = Depends(get_db)):
db_author = models.Author(**author.dict())
db.add(db_author)
db.commit()
db.refresh(db_author)
return db_author
@app.get("/authors/", response_model=List[schemas.AuthorModel])
def read_authors(db: Session = Depends(get_db)):
authors = db.query(models.Author).all()
return authors
@app.post("/books/", response_model=schemas.BookModel)
def create_book(book: schemas.BookCreate, db: Session = Depends(get_db)):
db_book = models.Book(**book.dict())
db.add(db_book)
db.commit()
db.refresh(db_book)
return db_book
@app.get("/books/", response_model=List[schemas.BookModel])
def read_books(db: Session = Depends(get_db)):
books = db.query(models.Book).all()
return books
@app.get("/books-with-authors/", response_model=List[schemas.BookWithAuthor])
def read_books_with_authors(db: Session = Depends(get_db)):
books = db.query(models.Book).options(joinedload(models.Book.author)).all()
return books

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# app/models.py
from sqlalchemy import Column, Integer, String, ForeignKey
from sqlalchemy.orm import relationship
from app.database import Base
class Author(Base):
__tablename__ = "authors"
id = Column(Integer, primary_key=True, index=True)
name = Column(String(255), unique=True, index=True)
books = relationship("Book", back_populates="author")
class Book(Base):
__tablename__ = "books"
id = Column(Integer, primary_key=True, index=True)
title = Column(String(255), index=True)
author_id = Column(Integer, ForeignKey('authors.id'))
author = relationship("Author", back_populates="books")

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from typing import List, Optional
from pydantic import BaseModel, constr, conint
class AuthorCreate(BaseModel):
name: constr(min_length=2, max_length=100)
class AuthorModel(BaseModel):
id: int
name: str
class Config:
orm_mode = True
class BookCreate(BaseModel):
title: constr(min_length=1, max_length=100)
author_id: conint(gt=0)
class BookModel(BaseModel):
id: int
title: str
author_id: int
status: Optional[str] = None
class Config:
orm_mode = True
class BookWithAuthor(BookModel):
author: AuthorModel

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version: "3.7"
services:
web-server:
build:
dockerfile: php/Dockerfile
context: .
restart: always
volumes:
- "./html/:/var/www/html/"
ports:
- "8080:80"
mysql-server:
image: mysql:8.0.19
restart: always
environment:
MYSQL_ROOT_PASSWORD: secret
volumes:
- mysql-data:/var/lib/mysql
ports:
- "3306:3306"
phpmyadmin:
image: phpmyadmin/phpmyadmin:5.0.1
restart: always
environment:
PMA_HOST: mysql-server
PMA_USER: root
PMA_PASSWORD: secret
ports:
- "5000:80"
volumes:
mysql-data:

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from app.database import engine
from app.models import Base
import uvicorn
import argparse # Importuj argparse
def main(port):
# Create the database
print("Creating database tables...")
Base.metadata.create_all(bind=engine)
print("Database tables created.")
# Uruchomienie aplikacji FastAPI za pomocą uvicorn
uvicorn.run("app.main:app", host="0.0.0.0", port=port, reload=True)
if __name__ == "__main__":
# Utwórz parser argumentów
parser = argparse.ArgumentParser(description="Run the FastAPI app")
# Dodaj argument port, domyślnie 9999
parser.add_argument("--port", type=int, default=9999, help="Port to run the FastAPI app on")
# Parsuj argumenty
args = parser.parse_args()
main(args.port)

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FROM php:7.4.3-apache
RUN docker-php-ext-install mysqli pdo pdo_mysql

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# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
[[package]]
name = "anyio"
version = "4.3.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.8"
files = [
{file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
{file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
]
[package.dependencies]
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
idna = ">=2.8"
sniffio = ">=1.1"
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
[package.extras]
doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
trio = ["trio (>=0.23)"]
[[package]]
name = "asgiref"
version = "3.8.1"
description = "ASGI specs, helper code, and adapters"
optional = false
python-versions = ">=3.8"
files = [
{file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"},
{file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
]
[package.dependencies]
typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
[package.extras]
tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
[[package]]
name = "astunparse"
version = "1.6.3"
description = "An AST unparser for Python"
optional = false
python-versions = "*"
files = [
{file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
{file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"},
]
[package.dependencies]
six = ">=1.6.1,<2.0"
wheel = ">=0.23.0,<1.0"
[[package]]
name = "click"
version = "8.1.7"
description = "Composable command line interface toolkit"
optional = false
python-versions = ">=3.7"
files = [
{file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
{file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
]
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
[[package]]
name = "colorama"
version = "0.4.6"
description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
[[package]]
name = "exceptiongroup"
version = "1.2.0"
description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
files = [
{file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
{file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
]
[package.extras]
test = ["pytest (>=6)"]
[[package]]
name = "fastapi"
version = "0.85.2"
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
optional = false
python-versions = ">=3.7"
files = [
{file = "fastapi-0.85.2-py3-none-any.whl", hash = "sha256:6292db0edd4a11f0d938d6033ccec5f706e9d476958bf33b119e8ddb4e524bde"},
{file = "fastapi-0.85.2.tar.gz", hash = "sha256:3e10ea0992c700e0b17b6de8c2092d7b9cd763ce92c49ee8d4be10fee3b2f367"},
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]
[[package]]
name = "wheel"
version = "0.43.0"
description = "A built-package format for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "wheel-0.43.0-py3-none-any.whl", hash = "sha256:55c570405f142630c6b9f72fe09d9b67cf1477fcf543ae5b8dcb1f5b7377da81"},
{file = "wheel-0.43.0.tar.gz", hash = "sha256:465ef92c69fa5c5da2d1cf8ac40559a8c940886afcef87dcf14b9470862f1d85"},
]
[package.extras]
test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
[metadata]
lock-version = "2.0"
python-versions = "^3.8"
content-hash = "105119712865c66fa759fbc45c472ee9026535e6473b012bb5db3c4ecf73b0f3"

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[tool.poetry]
name = "app"
version = "0.1.0"
description = "Przykład aplikacji FastAPI z WebSockets i Flutter"
authors = ["mpabi"]
[tool.poetry.dependencies]
python = "^3.8"
fastapi = "^0.85"
websockets = "^12.0"
sqlalchemy = "^2.0.26"
strawberry-graphql = {extras = ["fastapi"], version = "^0.219.2"}
mysqlclient = "^2.2.4"
mysql-connector-python = "^8.3.0"
[tool.poetry.dev-dependencies]
uvicorn = "^0.17.6"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry run pip install --no-deps ."
build-frontend = "poetry run flutter build web"

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Library Management</title>
<link rel="stylesheet" href="style.css">
</head>
<body>
<header>Library Management</header>
<div class="container">
<aside class="sidebar">
<h2>Add Author</h2>
<form id="addAuthorForm">
<input type="text" id="authorName" placeholder="Author Name" required>
<button type="submit">Add Author</button>
</form>
<h2>Add Book</h2>
<form id="addBookForm">
<input type="text" id="bookTitle" placeholder="Book Title" required>
<select id="bookAuthorId">
<!-- Autorzy będą dodawani tutaj dynamicznie -->
</select>
<button type="submit">Add Book</button>
</form>
</aside>
<main class="content">
<h2>Authors</h2>
<ul id="authorsList"></ul>
<h2>Books</h2>
<ul id="booksList"></ul>
<button id="loadBooksWithAuthors">Load Books with Authors</button>
<ul id="booksWithAuthorsList"></ul>
</main>
</div>
<footer>2024 Library Management System</footer>
<script src="script.js"></script>
</body>
</html>

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const BASE_URL = 'http://qstack.pl:1111'; // Zaktualizuj zgodnie z konfiguracją Twojego serwera
document.addEventListener('DOMContentLoaded', function() {
loadAuthors();
loadBooks();
});
document.getElementById('addAuthorForm').addEventListener('submit', function(e) {
e.preventDefault();
const authorName = document.getElementById('authorName').value;
fetch(`${BASE_URL}/authors/`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ name: authorName }),
})
.then(response => response.json())
.then(() => {
loadAuthors(); // Ponowne ładowanie listy autorów po dodaniu nowego autora
})
.catch(error => console.error('Error:', error));
});
document.getElementById('addBookForm').addEventListener('submit', function(e) {
e.preventDefault();
const bookTitle = document.getElementById('bookTitle').value;
const bookAuthorId = document.getElementById('bookAuthorId').value;
fetch(`${BASE_URL}/books/`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ title: bookTitle, author_id: parseInt(bookAuthorId, 10) }),
})
.then(response => response.json())
.then(() => {
loadBooks(); // Ponowne ładowanie listy książek po dodaniu nowej książki
})
.catch(error => console.error('Error:', error));
});
function loadAuthors() {
fetch(`${BASE_URL}/authors/`)
.then(response => response.json())
.then(data => {
const authorsSelect = document.getElementById('bookAuthorId');
authorsSelect.innerHTML = '<option value="">Select an Author</option>'; // Dodaj domyślną opcję
data.forEach(author => {
const option = document.createElement('option');
option.value = author.id;
option.textContent = author.name;
authorsSelect.appendChild(option);
});
})
.catch(error => console.error('Error:', error));
}
function loadBooks() {
fetch(`${BASE_URL}/books/`)
.then(response => response.json())
.then(data => {
const booksList = document.getElementById('booksList');
booksList.innerHTML = '';
data.forEach(book => {
const listItem = document.createElement('li');
listItem.textContent = `${book.title} - Author ID: ${book.author_id}`;
booksList.appendChild(listItem);
});
})
.catch(error => console.error('Error:', error));
}

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body, html {
margin: 0;
padding: 0;
font-family: Arial, sans-serif;
}
header, footer {
background-color: #333;
color: #fff;
text-align: center;
padding: 1rem 0;
}
.container {
display: flex;
min-height: calc(100vh - 100px); /* Adjust based on header/footer height */
}
.sidebar {
width: 30%;
padding: 20px;
background-color: #f4f4f4;
}
.content {
flex-grow: 1;
padding: 20px;
}
form > * {
display: block;
margin-bottom: 10px;
}
button {
cursor: pointer;
}
ul {
list-style-type: none;
padding-left: 0;
}

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\documentclass{article}
\usepackage{hyperref} % Dodaje aktywne linki
\begin{document}
\section{Polecenia curl}
Poniżej znajdują się polecenia \texttt{curl} do wysyłania żądań POST do endpointu \texttt{/kebab\_orders/}:
\begin{verbatim}
for i in {1..5}; do \
curl -X 'POST' \
'http://qstack.pl:9999/kebab_orders/' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"type": "Kebab",
"quantity": 1,
"address": "Example Address '$i'"
}'; \
done
\end{verbatim}
\end{document}

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\documentclass{article}
\usepackage[margin=2cm]{geometry}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc} % Support for Polish characters
\usepackage{polski} % Polish language settings
\usepackage[english]{babel} % Multilingual support, with Polish as default
\usepackage{listings}
\usepackage{xcolor}
\definecolor{vscodePurple}{rgb}{0.5, 0.0, 0.5} % Function names, keywords
\definecolor{vscodeBlue}{rgb}{0.16, 0.32, 0.75} % Comments
\definecolor{vscodeGreen}{rgb}{0, 0.6, 0} % Strings
% Configuration for the listings package
\lstset{
basicstyle=\ttfamily,
columns=fullflexible,
keywordstyle=\color{vscodePurple},
stringstyle=\color{vscodeGreen},
commentstyle=\color{vscodeBlue},
morecomment=[l][\color{magenta}]{\#},
frame=single,
language=Python,
showstringspaces=false,
breaklines=true, % Enables line breaking
postbreak=\mbox{\textcolor{red}{$\hookrightarrow$}\space}, % Marks where a line has been broken
}
\usepackage{graphicx} % Add the graphicx package for \reflectbox
\usepackage{hyperref}
\usepackage[
sortcites,
backend=biber,
hyperref=true,
firstinits=true,
maxbibnames=99,
]{biblatex}
\addbibresource{references.bib}
\title{Dockerfile for FastAPI Application using Pyenv and Poetry}
\author{M. Pabiszczak}
\date{\today}
\begin{document}
\maketitle
\section{Description of Dockerfile}
\subsection{Base Image}
\textbf{Dockerfile Instruction:}
\begin{verbatim}
FROM debian:latest
\end{verbatim}
Choose a base image. Debian is a good choice due to Pyenv.
\subsection{Installing Dependencies}
\textbf{Dockerfile Instruction:}
\begin{verbatim}
RUN apt-get update && apt-get install -y \
aptitude \
tmux vim-nox nano mc git curl termshark procps \
sudo iproute2 iputils-ping bridge-utils \
ifupdown udev make build-essential libssl-dev zlib1g-dev \
libbz2-dev libreadline-dev libsqlite3-dev wget llvm libncurses5-dev \
libncursesw5-dev xz-utils libffi-dev liblzma-dev \
sqlite3 default-libmysqlclient-dev pkg-config
RUN echo 'root:pass' | chpasswd
RUN useradd -m user && echo 'user:pass' | chpasswd && adduser user sudo
\end{verbatim}
Update the package list and install necessary dependencies.
\subsection{Installing Pyenv}
\textbf{Dockerfile Instruction:}
\begin{verbatim}
RUN git clone https://github.com/pyenv/pyenv .pyenv
RUN git clone https://github.com/pyenv/pyenv-virtualenv .pyenv/plugins/pyenv-virtualenv
ENV HOME /home/user
ENV PYENV_ROOT $HOME/.pyenv
ENV PATH $PYENV_ROOT/shims:$PYENV_ROOT/bin:$PATH
RUN echo 'export PYENV_ROOT="$HOME/.pyenv"' >> .bashrc
RUN echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> .bashrc
RUN echo 'eval "$(pyenv init -)"' >> .bashrc
RUN echo 'eval "$(pyenv virtualenv-init -)"' >> .bashrc
\end{verbatim}
Install Pyenv and Pyenv-virtualenv.
\subsection{Installing Python 3.11}
\textbf{Dockerfile Instruction:}
\begin{verbatim}
RUN bash -i -c "source ~/.bashrc && env PYTHON_CONFIGURE_OPTS='--enable-shared' pyenv install 3.11"
RUN bash -i -c "source ~/.bashrc && pyenv virtualenv 3.11 p3.11"
RUN bash -i -c "source ~/.bashrc && pyenv local 3.11"
\end{verbatim}
Install Python 3.11 using Pyenv.
\subsection{Installing Poetry}
\textbf{Dockerfile Instruction:}
\begin{verbatim}
RUN curl -sSL https://install.python-poetry.org | python3 -
\end{verbatim}
Install Poetry.
\subsection{Project Configuration}
\textbf{Dockerfile Instruction:}
\begin{verbatim}
COPY --chown=user:user . /home/user/fapi
COPY ./_confs/* ./
WORKDIR /home/user/fapi
ENV PATH="$HOME/.local/bin:$PATH"
RUN bash -i -c "source ~/.bashrc && poetry config virtualenvs.create false && poetry install"
\end{verbatim}
Copy the project into the image, configure the Poetry path, and install dependencies.
\subsection{Running the Application}
\textbf{Dockerfile Instruction:}
\begin{verbatim}
CMD ["/bin/bash", "-c", "python entrypoint.py"]
\end{verbatim}
Run the application.
\section{Running the Container}
\subsection{Running with Default Command}
\textbf{Docker Command:}
\begin{verbatim}
docker run --rm -dit -p 9999:9999 fapi
\end{verbatim}
Run the container with the default command (CMD).
\subsection{Running with Bash Shell}
\textbf{Docker Command:}
\begin{verbatim}
docker run --rm -dit -p 9999:9999 --name cfapi fapi bash
\end{verbatim}
Run the container with a bash shell.
\subsection{Accessing Container Shell}
\textbf{Docker Command:}
\begin{verbatim}
docker exec -it cfapi bash
\end{verbatim}
Allows accessing the shell of the container named cfapi.
\appendix
\section{Complete Dockerfile with Database Creation}
\begin{verbatim}
# Choose a base image. Debian is a good choice due to pyenv
FROM debian:latest
# Update the package list and install necessary dependencies
RUN apt-get update && apt-get install -y \
aptitude \
tmux vim-nox nano mc git curl termshark procps \
sudo iproute2 iputils-ping bridge-utils \
ifupdown udev make build-essential libssl-dev zlib1g-dev \
libbz2-dev libreadline-dev libsqlite3-dev wget llvm libncurses5-dev \
libncursesw5-dev xz-utils libffi-dev liblzma-dev \
sqlite3 default-libmysqlclient-dev pkg-config
# Set password for root user (optional, for configuration)
RUN echo 'root:rootpass' | chpasswd
# Add a new user `user` with password `pass` and prepare the environment
RUN useradd -m user && echo 'user:pass' | chpasswd && adduser user sudo
# Switch to user `user`
USER user
WORKDIR /home/user
# Install pyenv
RUN git clone https://github.com/pyenv/pyenv .pyenv
# Install pyenv-virtualenv
RUN git clone https://github.com/pyenv/pyenv-virtualenv .pyenv/plugins/pyenv-virtualenv
# Set environment variables
ENV HOME /home/user
ENV PYENV_ROOT $HOME/.pyenv
ENV PATH $PYENV_ROOT/shims:$PYENV_ROOT/bin:$PATH
# Add pyenv and pyenv-virtualenv configuration to .bashrc
RUN echo 'export PYENV_ROOT="$HOME/.pyenv"' >> .bashrc
RUN echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> .bashrc
RUN echo 'eval "$(pyenv init -)"' >> .bashrc
RUN echo 'eval "$(pyenv virtualenv-init -)"' >> .bashrc
# Install Python 3.11 with --enable-shared
RUN bash -i -c "source ~/.bashrc && env PYTHON_CONFIGURE_OPTS='--enable-shared' pyenv install 3.11"
# Create a virtual environment p3.11
RUN bash -i -c "source ~/.bashrc && pyenv virtualenv 3.11 p3.11"
# Set p3.11 as the default virtual environment, docker doesn't like ;)
RUN bash -i -c "source ~/.bashrc && pyenv local 3.11"
# Install Poetry
RUN curl -sSL https://install.python-poetry.org | python3 -
# Copy the project into the image
COPY --chown=user:user . /home/user/fapi
COPY ./_confs/* ./
# Set the working directory for installing dependencies
WORKDIR /home/user/fapi
# Add Poetry path to PATH directly in the Dockerfile
ENV PATH="$HOME/.local/bin:$PATH"
RUN bash -i -c "source ~/.bashrc && poetry config virtualenvs.create false && poetry install"
# Run the application
CMD ["/bin/bash", "-c", "python entrypoint.py"]
\end{verbatim}
\end{document}

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\documentclass{article}
\usepackage[utf8]{inputenc}
\usepackage{hyperref}
% \title{Exercise:
\title{Fetching Data from API with FastAPI and JavaScript and Inserting into a Table}
\author{Tomasz Zadworny}
\date{\today}
\begin{document}
\maketitle
\section{Introduction}
In this exercise, we will explore the process of fetching data from an API using FastAPI on the server side and displaying it on the client side using JavaScript with the \texttt{fetch} API.
\section{Server-side Implementation with FastAPI}
Create a FastAPI application that serves a simple API endpoint returning JSON data. The following Python code snippet demonstrates a basic FastAPI application:
\begin{verbatim}
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
app = FastAPI()
origins = [
"http://localhost:8888",
]
app.add_middleware(
CORSMiddleware,
allow_origins=origins, # Dla wszystkich domen (uwaga: lepiej określić konkretne adresy)
allow_credentials=True,
# allow_origins=["*"], # Dla wszystkich domen (uwaga: lepiej określić konkretne adresy)
# allow_credentials=False,
allow_methods=["*"], # Dla wszystkich metod HTTP
allow_headers=["*"], # Dla wszystkich nagłówków HTTP
)
data = [
{"id": 1, "name": "Example 1"},
{"id": 2, "name": "Example 2"},
{"id": 3, "name": "Example 3"},
]
@app.get("/api/data")
def get_data():
return data
\end{verbatim}
\subsection{Poetry Configuration}
To configure your Python project using Poetry, follow these steps:
\begin{enumerate}
\item \textbf{Initialize Poetry:} Run the following command to initialize your project with Poetry.
\begin{verbatim}
poetry init
\end{verbatim}
This command will guide you through the project setup process, prompting for information such as the project name, version, and dependencies.
\item \textbf{Add FastAPI:} Use the following command to add FastAPI as a dependency to your project.
\begin{verbatim}
poetry add fastapi
\end{verbatim}
This will automatically update your \texttt{pyproject.toml} file with the FastAPI dependency.
\item \textbf{Add Uvicorn:} Similarly, add Uvicorn as a dependency.
\begin{verbatim}
poetry add uvicorn
\end{verbatim}
\item \textbf{Install Dependencies:} Execute the following command to install the dependencies.
\begin{verbatim}
poetry install
\end{verbatim}
This command installs the project dependencies, including FastAPI and Uvicorn.
\item \textbf{Install (No-Root):} For development purposes, it's recommended to use the following command to install dependencies without including the project itself.
\begin{verbatim}
poetry install --no-root
\end{verbatim}
This command installs dependencies without including the main project. It's useful when you're working in a virtual environment.
\item \textbf{Run Uvicorn:} To run your FastAPI application using Uvicorn, execute the following command:
\begin{verbatim}
poetry run uvicorn --reload app.main:app --host 0.0.0.0 --port 9999
\end{verbatim}
This command starts the FastAPI application with Uvicorn, enabling hot-reloading and specifying the host and port.
\end{enumerate}
These steps help you configure your Python project using Poetry, adding FastAPI and Uvicorn as dependencies and providing commands to install and run your application.
\section{Client-side Implementation with JavaScript}
Design an HTML page that uses JavaScript and the \texttt{fetch} API to retrieve data from the FastAPI endpoint and display it in a table. The following HTML and JavaScript code can serve as a starting point:
\begin{verbatim}
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Fetch Data Example</title>
</head>
<body>
<table id="data-table">
<thead>
<tr>
<th>ID</th>
<th>Name</th>
</tr>
</thead>
<tbody id="data-body"></tbody>
</table>
<script>
document.addEventListener("DOMContentLoaded", function () {
fetchData();
});
async function fetchData() {
try {
const response = await fetch('http://localhost:9999/api/data');
const data = await response.json();
populateTable(data);
} catch (error) {
console.error('Error fetching data:', error);
}
}
function populateTable(data) {
const tableBody = document.getElementById('data-body');
data.forEach(item => {
const row = document.createElement('tr');
row.innerHTML = `<td>${item.id}</td><td>${item.name}</td>`;
tableBody.appendChild(row);
});
}
</script>
</body>
</html>
\end{verbatim}
\section{Conclusion}
This exercise introduces the basics of using FastAPI to create a simple API and using JavaScript with the \texttt{fetch} API to retrieve and display data on the client side.
\end{document}