Merge pull request '[Л/Р 4] Плаксина Александра' (#80) from Sanechka_Plaksina/distributed-computing:plaksina-av-lab-4 into main

Reviewed-on: http://student.git.athene.tech/v.moiseev/distributed-computing/pulls/80
This commit is contained in:
Vladislav Moiseev 2023-12-17 23:14:58 +04:00
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# Отчет по лабораторной работе №4
Выполнила студентка гр. ИСЭбд-41 Плаксина А.В.
## Прохождение tutorial
Установила RabbitMQ server, erlang и зашла в брокер под гостем по `http://localhost:15672/#/`
Открытый RabbitMQ:
![](photo/ph13.jpg)
Прохождение туториала 1:
Сначала был запущен receive.py, который становится в ожидании сообщения. Затем запустили с отдельном терминале send.py, который отправил сообщение
![](photo/ph8.jpg)
![](photo/ph9.jpg)
Прохождение туториала 2:
Открыли три терминала: в первых двух запустили поочередно потребителей worker.py. В третьем терминале запустили new_task.py и отправили пять сообщений.
![](photo/ph10.jpg)
В результате эти сообщения были распределены между двумя воркерами.
![](photo/ph11.jpg)
![](photo/ph12.jpg)
Прохождение туториала 3:
Сначала в первом терминале запустили receive_logs.py, затем во втором запустили emit_log.py, тем самы отправив сообщение в первый
![](photo/ph14.jpg)
![](photo/ph15.jpg)
![](pic/tut3.png)
## Разработка демонстрационных приложений
Предметная область:университет, его мониторинг
Собрали и одновременно запустили приложения по одному экземпляру:
1. Publisher
![](photo/ph16.jpg)
2. Consumer 1.
![](photo/ph17.jpg)
3. Consumer 2.
![](photo/ph18.jpg)
## Результаты выполнения лабораторной работы
Результат отработки Consumer_1:
![](photo/ph19.jpg)
![](photo/ph20.jpg)
Результат отработки Consumer_2:
![](photo/ph21.jpg)
![](photo/ph22.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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# Default ignored files
/shelf/
/workspace.xml

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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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# 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 = ["Indicator Successfully Calculated", "DVI Is Not Provided For This Specialty", "The Student Went To The Academy"]
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='ugolek')
def callback(ch, method, properties, body):
print(f" [x] Получено сообщение: {body}")
channel.basic_consume(queue='ugolek', 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='ugolek')
channel.basic_publish(exchange='',routing_key='ugolek',body='Hello, My Name Alex!')
print(" [x] Отправлено 'Hello, My Name Alex!")
connection.close()

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import pika
import sys
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='milka', durable=True)
message = ' '.join(sys.argv[1:]) or "Hello My Name is Alex"
channel.basic_publish(exchange='', routing_key='milka', 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='milka', 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='milka', on_message_callback=callback)
channel.start_consuming()

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import pika
import sys
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='tishka', exchange_type='fanout')
message = ' '.join(sys.argv[1:]) or "Info: Hello My Name is Alex"
channel.basic_publish(exchange='tishka', routing_key='', body=message)
print(f" [x] Отправлено сообщение: {message}")
connection.close()

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import pika
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='tishka', exchange_type='fanout')
result = channel.queue_declare(queue='', exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='tishka', 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()