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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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<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>

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<project version="4">
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</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
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</component>
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# Отчет по лабораторной работе №4
Выполнила студентка гр. ИСЭбд-41 Гренадерова А.А.
## Прохождение tutorial
Установила rabbitMQ server, erlang и зашла в брокер под гостем по http://localhost:15672/#/
Туториал 1:
![](screens/4.png)
Туториал 2:
![](screens/5.png)
Туториал 3:
![](screens/6.png)
## Разработка демонстрационных приложений
Предметная область: Городское планирование и архитектура.
Разработала три приложения согласно предметной области.
1. Publisher
```py
import pika
import time
import random
collection = ["Buildings", "Streets", "Parks", "Transport", "Lighting"]
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='Entities', exchange_type='fanout')
while True:
message = f"Message: {random.choice(collection)}"
channel.basic_publish(exchange='Entities', 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 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='Entities', 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 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='Entities', 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:
![](screens/2.png)
Результат отработки Consumer_2:
![](screens/3.png)
![](screens/1.png)
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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Consumer_2.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)" />
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<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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import pika
import time
def process_message(ch, method, properties, body):
print(f"Получено сообщение: {body}")
time.sleep(3)
print("Сообщение 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='Entities', 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 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='Entities', 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 = ["Buildings", "Streets", "Parks", "Transport", "Lighting"]
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='Entities', exchange_type='fanout')
while True:
message = f"Message: {random.choice(collection)}"
channel.basic_publish(exchange='Entities', routing_key='', body=message)
time.sleep(1)
connection.close()

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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, sys, os
def main():
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='GrenaderovaLogs')
def callback(ch, method, properties, body):
print(f" [x] Получено сообщение: {body}")
channel.basic_consume(queue='GrenaderovaLogs', 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='grenaderova')
channel.basic_publish(exchange='',routing_key='mytarin',body='Hello, I am Grenaderova Anastasia. I love cats.')
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='grenaderova2', durable=True)
message = ' '.join(sys.argv[1:]) or "Hello, I am Grenaderova Anastasia. I love cats."
channel.basic_publish(exchange='', routing_key='grenaderova2', 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='grenaderova2', 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='grenaderova2', 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='GrenaderovaLogs', exchange_type='fanout')
message = ' '.join(sys.argv[1:]) or "Info: Hello, I am Grenaderova Anastasia. I love cats."
channel.basic_publish(exchange='GrenaderovaLogs', 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='GrenaderovaLogs', exchange_type='fanout')
result = channel.queue_declare(queue='', exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='GrenaderovaLogs', 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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