mirror of
https://github.com/kuhyx/WUT_Computer_Science.git
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Add 'Programming/PSD/' from commit 'cc1989eb7b6e039cafe95d2bef697ace67cbc1d2'
git-subtree-dir: Programming/PSD git-subtree-mainline:781bfce7b1git-subtree-split:cc1989eb7b
This commit is contained in:
commit
e11d703c3e
162
Programming/PSD/.gitignore
vendored
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162
Programming/PSD/.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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||||||
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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||||||
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# PyInstaller
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# Usually these files are written by a python script from a template
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||||||
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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||||||
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*.manifest
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||||||
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*.spec
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# Installer logs
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||||||
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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||||||
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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||||||
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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|
.spyderproject
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||||||
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.spyproject
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|
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# Rope project settings
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.ropeproject
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|
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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||||||
|
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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||||||
|
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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||||||
|
# and can be added to the global gitignore or merged into this file. For a more nuclear
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||||||
|
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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20
Programming/PSD/flink/anomaly_detector.py
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20
Programming/PSD/flink/anomaly_detector.py
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from pyflink.datastream import StreamExecutionEnvironment
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from pyflink.datastream.connectors.kafka import FlinkKafkaConsumer
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from pyflink.common.serialization import SimpleStringSchema
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import json
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def detect_anomalies(transaction):
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transaction_data = json.loads(transaction)
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# Add anomaly detection logic here
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return transaction_data
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env = StreamExecutionEnvironment.get_execution_environment()
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kafka_consumer = FlinkKafkaConsumer(
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topics='transactions',
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deserialization_schema=SimpleStringSchema(),
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properties={'bootstrap.servers': 'localhost:9092', 'group.id': 'anomaly_detection'}
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)
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data_stream = env.add_source(kafka_consumer).map(detect_anomalies)
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data_stream.print()
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env.execute("Anomaly Detection")
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32
Programming/PSD/kafka/generate_and_send.py
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32
Programming/PSD/kafka/generate_and_send.py
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from confluent_kafka import Producer
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import json
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import random
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import time
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# Configuration for Kafka Producer
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conf = {'bootstrap.servers': "localhost:9092"}
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producer = Producer(**conf)
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def generate_transaction():
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return {
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"card_id": random.randint(1000, 9999),
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"user_id": random.randint(100, 999),
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"location": {
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"latitude": round(random.uniform(-90, 90), 6),
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"longitude": round(random.uniform(-180, 180), 6)
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},
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"transaction_value": round(random.uniform(1, 1000), 2),
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"spending_limit": round(random.uniform(1000, 5000), 2)
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}
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def delivery_report(err, msg):
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if err is not None:
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print('Message delivery failed: {}'.format(err))
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else:
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print('Message delivered to {} [{}]'.format(msg.topic(), msg.partition()))
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while True:
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transaction = generate_transaction()
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producer.produce('transactions', key=str(transaction["card_id"]), value=json.dumps(transaction), callback=delivery_report)
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producer.poll(1)
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time.sleep(1) # Adjust the sleep time to control the frequency of transactions
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21
Programming/PSD/kafka/kafka_consumer.py
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21
Programming/PSD/kafka/kafka_consumer.py
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from confluent_kafka import Consumer, KafkaError
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conf = {'bootstrap.servers': "localhost:9092",
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'group.id': "test_group",
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'auto.offset.reset': 'earliest'}
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consumer = Consumer(**conf)
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consumer.subscribe(['transactions'])
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while True:
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msg = consumer.poll(timeout=1.0)
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if msg is None:
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continue
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if msg.error():
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if msg.error().code() == KafkaError._PARTITION_EOF:
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continue
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else:
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print(msg.error())
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break
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print('Received message: {}'.format(msg.value().decode('utf-8')))
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consumer.close()
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3
Programming/PSD/requirements.txt
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3
Programming/PSD/requirements.txt
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flask
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confluent_kafka
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pyflink
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99
Programming/PSD/run.sh
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Programming/PSD/run.sh
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#!/bin/bash
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# Function to run a script in the background and save its PID
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run_script() {
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python $1 &
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echo $!
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}
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# Function to install Kafka
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install_kafka() {
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if ! command -v kafka-server-start &> /dev/null; then
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echo "Kafka is not installed. Installing Kafka..."
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sudo pacman -Syu --noconfirm
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sudo pacman -S --noconfirm kafka
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else
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echo "Kafka is already installed."
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fi
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}
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# Function to install Flink using yay
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install_flink() {
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if ! command -v flink &> /dev/null; then
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echo "Flink is not installed. Installing Flink..."
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if ! command -v yay &> /dev/null; then
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echo "yay is not installed. Installing yay..."
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sudo pacman -S --noconfirm git
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git clone https://aur.archlinux.org/yay.git
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cd yay
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makepkg -si --noconfirm
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cd ..
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rm -rf yay
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fi
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yay -S --noconfirm apache-flink
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else
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echo "Flink is already installed."
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fi
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}
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# Ensure Kafka and Flink are installed
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#install_kafka
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#install_flink
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# Ensure Kafka and Flink services are running
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echo "Starting Kafka and Flink services..."
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sudo systemctl start kafka
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start-cluster.sh
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# Give some time for Kafka and Flink to start
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sleep 1
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# Start the Kafka producer (Transaction Simulator)
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echo "Starting transaction simulator..."
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producer_pid=$(run_script './kafka/generate_and_send.py')
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echo "Started transaction simulator with PID $producer_pid"
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# Give some time for the producer to start and produce initial transactions
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sleep 1
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# Start the Kafka consumer for testing
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echo "Starting Kafka consumer for testing..."
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consumer_pid=$(run_script './kafka/kafka_consumer.py')
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echo "Started Kafka consumer for testing with PID $consumer_pid"
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# Give some time for the consumer to read initial transactions
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sleep 1
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# Start the Flink job (Anomaly Detector)
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echo "Starting Flink anomaly detector..."
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flink_pid=$(run_script './flink/anomaly_detector.py')
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echo "Started Flink anomaly detector with PID $flink_pid"
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# Give some time for the Flink job to start processing
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sleep 1
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# Start the Flask application (Alarm Reader and Visualizer)
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echo "Starting Flask alarm reader..."
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flask_pid=$(run_script './webinterface/webinterface.py')
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echo "Started Flask alarm reader with PID $flask_pid"
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# Function to handle script termination
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|
terminate_scripts() {
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|
echo "Shutting down..."
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|
kill $producer_pid
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kill $consumer_pid
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kill $flink_pid
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kill $flask_pid
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echo "All processes terminated."
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# Optionally stop Kafka and Flink services
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|
sudo systemctl stop kafka
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|
sudo systemctl stop flink
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||||||
|
}
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||||||
|
# Trap SIGINT (Ctrl+C) to terminate all subprocesses
|
||||||
|
trap terminate_scripts SIGINT
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||||||
|
|
||||||
|
# Keep the main script running to allow all subprocesses to continue executing
|
||||||
|
while true; do
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|
sleep 1
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|
done
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31
Programming/PSD/webinterface/webinterface.py
Normal file
31
Programming/PSD/webinterface/webinterface.py
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|
from flask import Flask, jsonify
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|
from confluent_kafka import Consumer, KafkaError
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|
|
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|
app = Flask(__name__)
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||||||
|
|
||||||
|
@app.route('/alarms', methods=['GET'])
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|
def get_alarms():
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|
alarms = []
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|
conf = {'bootstrap.servers': "localhost:9092",
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|
'group.id': "alarm_group",
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||||||
|
'auto.offset.reset': 'earliest'}
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||||||
|
|
||||||
|
consumer = Consumer(**conf)
|
||||||
|
consumer.subscribe(['alarms'])
|
||||||
|
|
||||||
|
while True:
|
||||||
|
msg = consumer.poll(timeout=1.0)
|
||||||
|
if msg is None:
|
||||||
|
break
|
||||||
|
if msg.error():
|
||||||
|
if msg.error().code() == KafkaError._PARTITION_EOF:
|
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|
continue
|
||||||
|
else:
|
||||||
|
return str(msg.error()), 500
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||||||
|
alarms.append(json.loads(msg.value().decode('utf-8')))
|
||||||
|
|
||||||
|
consumer.close()
|
||||||
|
return jsonify(alarms)
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
app.run(debug=True)
|
||||||
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