2 Commits

Author SHA1 Message Date
6bcfec3c0f fix 2023-12-16 21:04:41 +04:00
07a0377cbb laba done 2023-12-16 20:09:40 +04:00
55 changed files with 478 additions and 760 deletions

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# Отчёт по лабораторной работе №2
Выполнил: студентка гр. ИСЭбд-41, Зиновьева Анна.
Вариант программы 1: 4. Формирует файл `/var/result/data.txt` так, что каждая строка файла - количество символов в именах файлов из каталога `/var/data`.
Вариант программы 2: 3. Ищет набольшее число из файла `/var/data/data.txt` и сохраняет количество таких чисел из последовательности в `/var/result/result.txt`.
## Создание приложений
Создадим 2 приложения.
Был выбран язык C# и технология .NET 7.
Для создания обычных консольных приложений воспользуемся командами:
```sh
dotnet new console -o worker-1
dotnet new console -o worker-2
```
Согласно варианту, программа 1 должна брать все файлы из папки `/var/data`, считывать длину их названия, найти минимальное и переложить его в папку `/var/result`.
[Исходный текст программы worker-1](worker-1/Program.cs)
Согласно варианту программа 2 должна брать строки из папки `/var/data/` с скопированным файлом, пытаться привести их к числам, затем найти минимальное из них.
Далее найти количество вхождений этого числа и результат записать в файл `/var/result/result.txt`.
[Исходный текст программы worker-2](worker-2/Program.cs)
Дополнительно создан файл [.gitignore](.gitignore) для того, чтобы не закоммитить в git ничего лишнего.
## Настройка окружения
Для связи двух приложений воспользуемся следующей схемой:
1. Каталог `./data` должен быть примонтирован в каталог `/var/data` для программы 1.
Оттуда будут браться исходные данные.
2. Каталог `./result-1` должен быть примонтирован в каталог `/var/result` для программы 2.
Туда будут складываться промежуточные данные.
3. Каталог `./result-1` также должен быть примонтирован в каталог `/var/data` для программы 2.
Оттуда будут браться промежуточные результаты.
4. Каталог `./result` должен быть примонтирован в каталог `/var/result` для программы 2.
Туда будут складывать результаты финальной обработки.
Для каждой программы были созданы файлы Dockerfile ([программа 1](worker-1/Dockerfile), [программа 2](worker-2/Dockerfile)) с подробным описанием процесса сборки.
Был создан файл [docker-compose.yml](docker-compose.yml), в котором указан манифест для запуска распределённого приложения.
## Сборка и запуск
1. В каталог `./data` помещены 3 файла с различной длиной названия и содержимым.
![](photo_2023-10-10_16-25-51.jpg)
На выходе программа должна записать 7 8 8.
![](Screenshot_2.jpg)
2. Теперь, обрабатывая этот файл:
![](Screenshot_3.jpg)
На выходе программа должна записать число 2 в `./result` так как в файле c названием data.txt максимальное число = 8, которое встречается 2 раза.
![](Screenshot_4.jpg)
Для запуска приложения необходимо ввести команду `docker compose up --build`.
Результат запуска после сборки:
```
[+] Running 2/0
✔ Container lab_2-worker-1-1 Created 0.0s
✔ Container lab_2-worker-2-1 Created 0.0s
Attaching to lab_2-worker-1-1, lab_2-worker-2-1
lab_2-worker-1-1 | Файл успешно создан: ../var/result/data.txt
lab_2-worker-2-1 | The maximum number is: 8
lab_2-worker-2-1 | The count of maximum numbers is: 2
lab_2-worker-1-1 exited with code 0
lab_2-worker-2-1 exited with code 0
```
В результате в каталоге `./result` создался файл `result.txt` с содержимым `7 8 8`, что соответствует входным данным.
Изменение значений в файлах из каталога `./data` также изменяет содержимое в файлах из каталогов `./result-1` и `./result`.

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5
7
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7
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version: "3.1"
services:
worker-1:
build: ./worker-1
volumes:
# Монтирует локальную папку data к папке data в контейнере.
- ./data:/var/data
# Монтирует локальную папку result-1 к папке result в контейнере.
- ./result-1:/var/result
worker-2:
build: ./worker-2
volumes:
# Монтирует локальную папку result-1 к папке data в контейнере.
- ./result-1:/var/data
- ./result:/var/result
# Зависимость от первого приложения.
depends_on:
- worker-1

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Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio Version 16
VisualStudioVersion = 16.0.30114.105
MinimumVisualStudioVersion = 10.0.40219.1
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "worker-1", "worker-1\worker-1.csproj", "{634E1073-C536-49F1-92E2-48812E9724D4}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "worker-2", "worker-2\worker-2.csproj", "{CD71CC0E-6A85-4AC9-B8CE-47910331C868}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|Any CPU = Debug|Any CPU
Debug|x64 = Debug|x64
Debug|x86 = Debug|x86
Release|Any CPU = Release|Any CPU
Release|x64 = Release|x64
Release|x86 = Release|x86
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
EndGlobalSection
GlobalSection(ProjectConfigurationPlatforms) = postSolution
{634E1073-C536-49F1-92E2-48812E9724D4}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{634E1073-C536-49F1-92E2-48812E9724D4}.Debug|Any CPU.Build.0 = Debug|Any CPU
{634E1073-C536-49F1-92E2-48812E9724D4}.Debug|x64.ActiveCfg = Debug|Any CPU
{634E1073-C536-49F1-92E2-48812E9724D4}.Debug|x64.Build.0 = Debug|Any CPU
{634E1073-C536-49F1-92E2-48812E9724D4}.Debug|x86.ActiveCfg = Debug|Any CPU
{634E1073-C536-49F1-92E2-48812E9724D4}.Debug|x86.Build.0 = Debug|Any CPU
{634E1073-C536-49F1-92E2-48812E9724D4}.Release|Any CPU.ActiveCfg = Release|Any CPU
{634E1073-C536-49F1-92E2-48812E9724D4}.Release|Any CPU.Build.0 = Release|Any CPU
{634E1073-C536-49F1-92E2-48812E9724D4}.Release|x64.ActiveCfg = Release|Any CPU
{634E1073-C536-49F1-92E2-48812E9724D4}.Release|x64.Build.0 = Release|Any CPU
{634E1073-C536-49F1-92E2-48812E9724D4}.Release|x86.ActiveCfg = Release|Any CPU
{634E1073-C536-49F1-92E2-48812E9724D4}.Release|x86.Build.0 = Release|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Debug|Any CPU.Build.0 = Debug|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Debug|x64.ActiveCfg = Debug|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Debug|x64.Build.0 = Debug|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Debug|x86.ActiveCfg = Debug|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Debug|x86.Build.0 = Debug|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Release|Any CPU.ActiveCfg = Release|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Release|Any CPU.Build.0 = Release|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Release|x64.ActiveCfg = Release|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Release|x64.Build.0 = Release|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Release|x86.ActiveCfg = Release|Any CPU
{CD71CC0E-6A85-4AC9-B8CE-47910331C868}.Release|x86.Build.0 = Release|Any CPU
EndGlobalSection
EndGlobal

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7
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2

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# Задаем базовый образ на .net
FROM mcr.microsoft.com/dotnet/sdk:5.0 AS build-env
# Задаем рабочую директорию
WORKDIR /src
# Копируем файлы и папки в каталог в контейнер
COPY . ./
# Создаем образы и устанавливаем данные пакеты в контейнер
RUN dotnet restore
COPY . .
RUN dotnet publish -c Release -o /publish
FROM mcr.microsoft.com/dotnet/aspnet:5.0
WORKDIR /publish
COPY --from=build-env /publish .
# Вызываем приложение во время выполнения контейнера
ENTRYPOINT ["dotnet", "worker-1.dll"]

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using System;
using System.IO;
var dir = new DirectoryInfo("/var/data");
var files = dir.GetFiles();
//var quantity_files = dir.GetFiles().Length;
string resultFilePath = "/var/result/data.txt";
try
{
// Создаем новый файл или перезаписываем существующий
using (StreamWriter writer = new StreamWriter(resultFilePath, false))
{
foreach (var file in files)
{
// Записываем в файл количество символов в имени каждого файла
writer.WriteLine(file.Name.Length);
}
}
Console.WriteLine("Файл успешно создан: " + resultFilePath);
}
catch (Exception ex)
{
Console.WriteLine("Произошла ошибка: " + ex.Message);
}

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<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFramework>net5.0</TargetFramework>
<RootNamespace>worker_1</RootNamespace>
</PropertyGroup>
</Project>

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# Задаем базовый образ на .net
FROM mcr.microsoft.com/dotnet/sdk:5.0 AS build-env
# Задаем рабочую директорию
WORKDIR /src
# Копируем файлы и папки в каталог в контейнер
COPY . ./
# Создаем образы и устанавливаем данные пакеты в контейнер
RUN dotnet restore
COPY . .
RUN dotnet publish -c Release -o /publish
FROM mcr.microsoft.com/dotnet/aspnet:5.0
WORKDIR /publish
COPY --from=build-env /publish .
# Вызываем приложение во время выполнения контейнера
ENTRYPOINT ["dotnet", "worker-2.dll"]

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using System;
using System.IO;
string filePath = "/var/data/data.txt";
string resultPath = "/var/result/result.txt";
// Считываем числа из файла
int[] numbers = ReadNumbersFromFile(filePath);
// Ищем наибольшее число
int maxNumber = FindMaxNumber(numbers);
// Считаем количество таких чисел
int count = CountNumbers(numbers, maxNumber);
// Сохраняем результат в файл
SaveCountToFile(resultPath, count);
Console.WriteLine($"Максимальное число: {maxNumber}");
Console.WriteLine($"Количество макисмальных чисел: {count}");
static int[] ReadNumbersFromFile(string filePath)
{
string[] lines = File.ReadAllLines(filePath);
int[] numbers = Array.ConvertAll(lines, int.Parse);
return numbers;
}
static int FindMaxNumber(int[] numbers)
{
int maxNumber = int.MinValue;
foreach (int number in numbers)
{
if (number > maxNumber)
{
maxNumber = number;
}
}
return maxNumber;
}
static int CountNumbers(int[] numbers, int targetNumber)
{
int count = 0;
foreach (int number in numbers)
{
if (number == targetNumber)
{
count++;
}
}
return count;
}
static void SaveCountToFile(string filePath, int count)
{
File.WriteAllText(filePath, count.ToString());
}

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<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFramework>net5.0</TargetFramework>
<RootNamespace>worker_2</RootNamespace>
</PropertyGroup>
</Project>

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tasks/zinoveva-ad/lab_4/4Lab_python/.idea/.gitignore generated vendored Normal file
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# Default ignored files
/shelf/
/workspace.xml

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receive.py

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<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="Black">
<option name="sdkName" value="Python 3.12 (python4Lab)" />
</component>
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.12 (python4Lab)" project-jdk-type="Python SDK" />
</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/python4Lab.iml" filepath="$PROJECT_DIR$/.idea/python4Lab.iml" />
</modules>
</component>
</project>

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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$">
<excludeFolder url="file://$MODULE_DIR$/venv" />
</content>
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="$PROJECT_DIR$/../../../.." vcs="Git" />
</component>
</project>

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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
# 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/#use-with-ide
.pdm.toml
# 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/

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import pika
import time
def process_message(ch, method, properties, body):
print(f"Получено сообщение: {body}")
time.sleep(3)
print("Сообщение успешно обработано")
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
result = channel.queue_declare(queue='', exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='Agreements', queue=queue_name)
channel.basic_consume(queue=queue_name, on_message_callback=process_message, auto_ack=True)
print('Ожидание сообщений...')
channel.start_consuming()

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import pika
def process_message(ch, method, properties, body):
print(f"Получено сообщение: {body}")
print("Сообщение успешно обработано")
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
result = channel.queue_declare(queue='', exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='Agreements', queue=queue_name)
channel.basic_consume(queue=queue_name, on_message_callback=process_message, auto_ack=True)
print('Ожидание сообщений...')
channel.start_consuming()

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import pika
import time
import random
collection = ["the employment document", "The document is agreed", "Signatures are provided", "the employee is accepted"]
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='Agreements', exchange_type='fanout')
while True:
message = f"Message: {random.choice(collection)}"
channel.basic_publish(exchange='Agreements', routing_key='', body=message)
time.sleep(1)
connection.close()

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import pika, sys, os
def main():
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='Logs')
def callback(ch, method, properties, body):
print(f" [x] Получено сообщение: {body}")
channel.basic_consume(queue='Logs', on_message_callback=callback, auto_ack=True)
print(' [*] Ожидание сообщений. Для завершения CTRL+C')
channel.start_consuming()
if __name__ == '__main__':
try:
main()
except KeyboardInterrupt:
print('Произошла ошибка')
try:
sys.exit(0)
except SystemExit:
os._exit(0)

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import pika
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.queue_declare(queue='sentimental_anna')
channel.basic_publish(exchange='',routing_key='sentimental_anna',body='Hello, I have a cat, Busia, and a dog, Bonya!')
print(" [x] Отправлено сообщение")
connection.close()

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import pika
import sys
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='sentimental_anna2', durable=True)
message = ' '.join(sys.argv[1:]) or "Hello I have a cat, Busia, and a dog, Bonya!"
channel.basic_publish(exchange='', routing_key='sentimental_anna2', body=message, properties=pika.BasicProperties(
delivery_mode=pika.spec.PERSISTENT_DELIVERY_MODE))
print(f" [x] Отправлено {message}")
connection.close()

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import pika
import time
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='sentimental_anna2', durable=True)
print(' [*] Ожидание сообщений. Для завершения CTRL+C')
def callback(ch, method, properties, body):
print(f" [x] Получено сообщение: {body.decode()}")
time.sleep(body.count(b'.'))
print(" [x] Выполнено")
ch.basic_ack(delivery_tag=method.delivery_tag)
channel.basic_qos(prefetch_count=1)
channel.basic_consume(queue='sentimental_anna2', on_message_callback=callback)
channel.start_consuming()

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@@ -0,0 +1,12 @@
import pika
import sys
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='Logs', exchange_type='fanout')
message = ' '.join(sys.argv[1:]) or "Info: Hello I have a cat, Busia, and a dog, Bonya!"
channel.basic_publish(exchange='Logs', routing_key='', body=message)
print(f" [x] Отправлено сообщение: {message}")
connection.close()

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@@ -0,0 +1,21 @@
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='Logs', exchange_type='fanout')
result = channel.queue_declare(queue='', exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='Logs', queue=queue_name)
print(' [*] Ожидание сообщений. Для завершения CTRL+C')
def callback(ch, method, properties, body):
print(f" [x] {body}")
channel.basic_consume(
queue=queue_name, on_message_callback=callback, auto_ack=True)
channel.start_consuming()

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# Отчет по лабораторной работе №4
Выполнила студентка гр. ИСЭбд-41 Зиновьева А. Д.
## Прохождение tutorial
Установила rabbitMQ server, erlang и зашла в брокер под гостем по http://localhost:15672/#/
![](pic/Screenshot_7.jpg)
Туториал 1:
![](pic/Screenshot_1.jpg)
![](pic/Screenshot_2.jpg)
![](pic/Screenshot_3.jpg)
Туториал 2:
![](pic/Screenshot_4.jpg)
![](pic/Screenshot_5.jpg)
![](pic/Screenshot_8.jpg)
Туториал 3:
![](pic/Screenshot_9.jpg)
![](pic/Screenshot_10.jpg)
![](pic/Screenshot_11.jpg)
## Разработка демонстрационных приложений
Предметная область: Дополнительный соглашения и договоры на проживание.
Разработаны три приложения, согласно предметной области.
1. Publisher
```py
import pika
import time
import random
collection = ["the employment document", "The document is agreed", "Signatures are provided", "the employee is accepted"]
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='Agreements', exchange_type='fanout')
while True:
message = f"Message: {random.choice(collection)}"
channel.basic_publish(exchange='Agreements', routing_key='', body=message)
time.sleep(1)
connection.close()
```
2. Consumer 1.
```py
import pika
import time
def process_message(ch, method, properties, body):
print(f"Получено сообщение: {body}")
time.sleep(3)
print("Сообщение успешно обработано")
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
result = channel.queue_declare(queue='', exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='Agreements', queue=queue_name)
channel.basic_consume(queue=queue_name, on_message_callback=process_message, auto_ack=True)
print('Ожидание сообщений...')
channel.start_consuming()
```
3. Consumer 2.
```py
import pika
def process_message(ch, method, properties, body):
print(f"Получено сообщение: {body}")
print("Сообщение успешно обработано")
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
result = channel.queue_declare(queue='', exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='Agreements', queue=queue_name)
channel.basic_consume(queue=queue_name, on_message_callback=process_message, auto_ack=True)
print('Ожидание сообщений...')
channel.start_consuming()
```
## Результаты выполнения лабораторной работы
Результат отработки Consumer_1:
![](pic/Screenshot_16.jpg)
![](pic/Screenshot_13.jpg)
Результат отработки Consumer_2:
![](pic/Screenshot_17.jpg)
![](pic/Screenshot_15.jpg)
Вывод: Consumer_2 нагружает меньше памяти, чем Consumer_1 и принимает сообщения гораздо быстрее, тем самым не позволяя очереди накапливать огромное количество сообщений.

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