├── Account ├── src │ ├── __init__.py │ └── api │ │ ├── __init__.py │ │ └── v1 │ │ └── __init__.py ├── tests │ ├── __init__.py │ └── test_base_urls.py ├── .dockerignore ├── requirements.txt ├── run.py ├── docker-compose.yml ├── setup_docker.sh ├── app.py └── DockerfileApp ├── Events ├── src │ ├── __init__.py │ └── api │ │ ├── __init__.py │ │ └── v1 │ │ └── __init__.py ├── tests │ ├── __init__.py │ └── test_base_urls.py ├── .dockerignore ├── requirements.txt ├── run.py ├── app.py ├── docker-compose.yml ├── setup_docker.sh └── DockerfileApp ├── micro_util ├── tests │ └── __init__.py ├── macro_src │ ├── __init__.py │ ├── db │ │ ├── __init__.py │ │ └── db_session.py │ ├── logger │ │ ├── __init__.py │ │ └── logger.py │ └── service_layer │ │ ├── __init__.py │ │ └── unit_of_work.py ├── README.md ├── setup.py └── LICENSE ├── M1.jpg ├── Redis_Service ├── Dockerfile └── docker-compose.yml ├── README.md ├── .gitignore └── Micro-redis-draw-digram /Account/src/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /Events/src/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /Account/src/api/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /Account/tests/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /Events/src/api/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /Events/tests/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /micro_util/tests/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /Account/src/api/v1/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /Events/src/api/v1/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /micro_util/macro_src/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /micro_util/macro_src/db/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /Account/.dockerignore: -------------------------------------------------------------------------------- 1 | __pycache__ 2 | run.py -------------------------------------------------------------------------------- /Events/.dockerignore: -------------------------------------------------------------------------------- 1 | __pycache__ 2 | run.py -------------------------------------------------------------------------------- /micro_util/macro_src/logger/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /micro_util/macro_src/service_layer/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /Events/requirements.txt: -------------------------------------------------------------------------------- 1 | fastapi==0.70.0 2 | pydantic==1.8.2 3 | uvicorn==0.20.0 -------------------------------------------------------------------------------- /Account/requirements.txt: -------------------------------------------------------------------------------- 1 | fastapi==0.70.0 2 | pydantic==1.8.2 3 | uvicorn==0.20.0 -------------------------------------------------------------------------------- /M1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/kp-nagar/MicroserviceArchitectureDemo/HEAD/M1.jpg -------------------------------------------------------------------------------- /Redis_Service/Dockerfile: -------------------------------------------------------------------------------- 1 | FROM redis 2 | COPY redis.conf /redis/redis.conf 3 | CMD [ "redis-server", "/redis/redis.conf" ] -------------------------------------------------------------------------------- /Account/run.py: -------------------------------------------------------------------------------- 1 | import uvicorn 2 | 3 | 4 | if __name__ == "__main__": 5 | uvicorn.run("app:app", host="0.0.0.0", port=8000, reload=True) -------------------------------------------------------------------------------- /Events/run.py: -------------------------------------------------------------------------------- 1 | import uvicorn 2 | 3 | 4 | if __name__ == "__main__": 5 | uvicorn.run("app:app", host="0.0.0.0", port=8000, reload=True) -------------------------------------------------------------------------------- /Events/app.py: -------------------------------------------------------------------------------- 1 | from fastapi import FastAPI 2 | 3 | 4 | app = FastAPI() 5 | 6 | 7 | @app.get("/") 8 | def read_root(): 9 | return "events service is up." 10 | -------------------------------------------------------------------------------- /micro_util/README.md: -------------------------------------------------------------------------------- 1 | # micro-util 2 | 3 | This is Micro-service library for "MicroserviceArchitectureDemo"(https://github.com/kp-nagar/MicroserviceArchitectureDemo) project. -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # MicroserviceArchitectureDemo 2 | I'm trying to create a simple App that connects the server (FastAPI - FastAPI - Flask) using micro-services architecture and domain-driven design. 3 | 4 | ![alt text](M1.jpg) -------------------------------------------------------------------------------- /Events/docker-compose.yml: -------------------------------------------------------------------------------- 1 | version: "3.0" 2 | services: 3 | events: 4 | build: 5 | # context: . File name must be Dockerfile 6 | context: ../setup_temp 7 | dockerfile: ../Events/DockerfileApp 8 | ports: 9 | - "4000:8000" -------------------------------------------------------------------------------- /Account/docker-compose.yml: -------------------------------------------------------------------------------- 1 | version: "3.0" 2 | services: 3 | account: 4 | build: 5 | # context: . File name must be Dockerfile 6 | context: ../setup_temp 7 | dockerfile: ../Account/DockerfileApp 8 | ports: 9 | - "4000:8000" -------------------------------------------------------------------------------- /Redis_Service/docker-compose.yml: -------------------------------------------------------------------------------- 1 | version: '3' 2 | 3 | services: 4 | redis_service: 5 | restart: always 6 | image: "redis:alpine" 7 | ports: 8 | - "6379:6379" 9 | volumes: 10 | - ./etc/redis:/etc/redis 11 | - /var/redis:/var/redis 12 | -------------------------------------------------------------------------------- /Account/tests/test_base_urls.py: -------------------------------------------------------------------------------- 1 | from app import app 2 | from fastapi.testclient import TestClient 3 | 4 | 5 | client = TestClient(app) 6 | 7 | def test_index_url(): 8 | response = client.get("/") 9 | assert response.status_code == 200 10 | assert response.json() == "account service is up." -------------------------------------------------------------------------------- /Events/tests/test_base_urls.py: -------------------------------------------------------------------------------- 1 | from app import app 2 | from fastapi.testclient import TestClient 3 | 4 | 5 | client = TestClient(app) 6 | 7 | def test_index_url(): 8 | response = client.get("/") 9 | assert response.status_code == 200 10 | assert response.json() == "events service is up." -------------------------------------------------------------------------------- /Events/setup_docker.sh: -------------------------------------------------------------------------------- 1 | sudo rm -r ../setup_temp 2 | sudo rm -r ../micro_util/build 3 | 4 | sudo mkdir ../setup_temp 5 | sudo cp -r ../micro_util ../setup_temp 6 | sudo cp -r ../Events ../setup_temp 7 | 8 | docker-compose down && docker system prune && docker-compose up --build 9 | 10 | sudo rm -r ../setup_temp -------------------------------------------------------------------------------- /Account/setup_docker.sh: -------------------------------------------------------------------------------- 1 | sudo rm -r ../setup_temp 2 | sudo rm -r ../micro_util/build 3 | 4 | sudo mkdir ../setup_temp 5 | sudo cp -r ../micro_util ../setup_temp 6 | sudo cp -r ../Account ../setup_temp 7 | 8 | docker-compose down && docker system prune && docker-compose up --build 9 | 10 | sudo rm -r ../setup_temp -------------------------------------------------------------------------------- /Account/app.py: -------------------------------------------------------------------------------- 1 | from typing import Union 2 | from fastapi import FastAPI 3 | 4 | 5 | app = FastAPI() 6 | 7 | 8 | @app.get("/") 9 | def read_root(): 10 | return "account service is up." 11 | 12 | 13 | @app.get("/items/{item_id}") 14 | def read_item(item_id: int, q: Union[str, None] = None): 15 | return {"item_id": item_id, "q": q} 16 | 17 | 18 | 19 | -------------------------------------------------------------------------------- /Events/DockerfileApp: -------------------------------------------------------------------------------- 1 | FROM python:3.9-alpine 2 | 3 | WORKDIR /Events 4 | 5 | COPY micro_util /micro_util 6 | COPY Events/requirements.txt /Events/requirements.txt 7 | 8 | RUN pip install --no-cache-dir --upgrade -r /Events/requirements.txt 9 | 10 | COPY /Events /Events 11 | 12 | EXPOSE 4000 13 | 14 | CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"] -------------------------------------------------------------------------------- /Account/DockerfileApp: -------------------------------------------------------------------------------- 1 | FROM python:3.9-alpine 2 | 3 | WORKDIR /Account 4 | 5 | COPY micro_util /micro_util 6 | COPY Account/requirements.txt /Account/requirements.txt 7 | 8 | RUN pip install --no-cache-dir --upgrade -r /Account/requirements.txt 9 | 10 | COPY /Account /Account 11 | 12 | EXPOSE 4000 13 | 14 | CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"] -------------------------------------------------------------------------------- /micro_util/setup.py: -------------------------------------------------------------------------------- 1 | import setuptools 2 | 3 | 4 | setuptools.setup( 5 | name="micro_util", 6 | version="0.3", 7 | install_requires=[ 8 | "setuptools==61.0" 9 | ], 10 | author="Kumarpal Nagar", 11 | author_email="kumarpal.nagar@gmail.com", 12 | description="Micro-service library which contains Common functionality.", 13 | long_description="This is library which help to connect micro-services.", 14 | long_description_content_type="text/markdown", 15 | url="", 16 | packages=setuptools.find_packages(), 17 | classifiers=[ 18 | "Programming Language :: Python :: 3", 19 | "Operating System :: OS Independent", 20 | ], 21 | python_requires='>=3.8', 22 | ) -------------------------------------------------------------------------------- /micro_util/LICENSE: -------------------------------------------------------------------------------- 1 | Copyright (c) 2018 The Python Packaging Authority 2 | 3 | Permission is hereby granted, free of charge, to any person obtaining a copy 4 | of this software and associated documentation files (the "Software"), to deal 5 | in the Software without restriction, including without limitation the rights 6 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 7 | copies of the Software, and to permit persons to whom the Software is 8 | furnished to do so, subject to the following conditions: 9 | 10 | The above copyright notice and this permission notice shall be included in all 11 | copies or substantial portions of the Software. 12 | 13 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 14 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 15 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 16 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 17 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 18 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 19 | SOFTWARE. -------------------------------------------------------------------------------- /micro_util/macro_src/logger/logger.py: -------------------------------------------------------------------------------- 1 | import os 2 | import logging.config 3 | 4 | 5 | log_config_path = "config/log_config.py" 6 | log_config = os.path.exists(log_config_path) 7 | if log_config: 8 | # For change log configuration create config/log_config.py and add LOGGING={}. 9 | from config.log_config import LOGGING 10 | else: 11 | print("Loading default log config.") 12 | LOGGING = { 13 | 'version': 1, 14 | 'disable_existing_loggers': True, 15 | 'formatters': { 16 | 'key_value': { 17 | 'format': 'timestamp:%(asctime)s pid:%(process)d thread:%(threadName)s loglevel:%(levelname)s module:%(module)s file:%(filename)s line:%(lineno)d - %(message)s' 18 | }, 19 | }, 20 | 'handlers': { 21 | 'console': { 22 | 'level': 'DEBUG', 23 | 'class': 'logging.StreamHandler', 24 | 'formatter': 'key_value', 25 | 'stream': 'ext://sys.stdout' 26 | } 27 | }, 28 | 'loggers': { 29 | 'gunicorn.error': { 30 | 'handlers': ['console'], 31 | 'level': 'DEBUG', 32 | 'propagate': False, 33 | }, 34 | 'app': { 35 | 'handlers': ['console'], 36 | 'level': 'DEBUG', 37 | 'propagate': False, 38 | } 39 | }, 40 | } 41 | 42 | logging.config.dictConfig(LOGGING) 43 | logger = logging.getLogger("app") 44 | print("initialized", logger) 45 | -------------------------------------------------------------------------------- /micro_util/macro_src/service_layer/unit_of_work.py: -------------------------------------------------------------------------------- 1 | import abc 2 | 3 | from logger.logger import logger 4 | 5 | 6 | class AbstractUnitOfWork(abc.ABC): 7 | def __enter__(self): 8 | return self 9 | 10 | def __exit__(self, *args): 11 | self.__del__() 12 | 13 | @abc.abstractmethod 14 | def safe_commit(self): 15 | raise NotImplementedError 16 | 17 | @abc.abstractmethod 18 | def __del__(self): 19 | raise NotImplementedError 20 | 21 | @abc.abstractmethod 22 | def rollback(self): 23 | raise NotImplementedError 24 | 25 | 26 | class SqlAlchemyUnitOfWork(AbstractUnitOfWork): 27 | def __init__(self): 28 | from db.db_session import Session 29 | self.db_session = Session() 30 | 31 | def safe_commit(self): 32 | if self.db_session: 33 | try: 34 | self.db_session.commit() 35 | except: 36 | self.db_session.rollback() 37 | raise 38 | 39 | def rollback(self): 40 | if self.db_session: 41 | try: 42 | self.db_session.rollback() 43 | except: 44 | raise 45 | 46 | def __del__(self): 47 | if self.db_session: 48 | from db.db_session import Session 49 | try: 50 | self.safe_commit() 51 | finally: 52 | Session.remove() 53 | del self.db_session 54 | self.db_session = None 55 | 56 | def __enter__(self): 57 | from db.db_session import Session 58 | logger.info('Starting') 59 | if self.db_session: 60 | self.__del__() 61 | self.db_session = Session() 62 | return self 63 | 64 | def __exit__(self, *exc): 65 | logger.info('Finishing') 66 | if self.db_session: 67 | self.__del__() 68 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | .idea/ -------------------------------------------------------------------------------- /micro_util/macro_src/db/db_session.py: -------------------------------------------------------------------------------- 1 | import os 2 | import time 3 | from sqlalchemy import create_engine, event 4 | from sqlalchemy.orm import scoped_session, sessionmaker 5 | 6 | 7 | # https://docs.sqlalchemy.org/en/14/faq/connections.html#faq-execute-retry 8 | def reconnecting_engine(engine, num_retries, retry_interval): 9 | def _run_with_retries(fn, context, cursor, statement, *arg, **kw): 10 | for retry in range(num_retries + 1): 11 | try: 12 | fn(cursor, statement, context=context, *arg) 13 | except engine.dialect.dbapi.Error as raw_dbapi_err: 14 | connection = context.root_connection 15 | if engine.dialect.is_disconnect( 16 | raw_dbapi_err, connection, cursor 17 | ): 18 | if retry > num_retries: 19 | raise 20 | engine.logger.error( 21 | "disconnection error, retrying operation", 22 | exc_info=True, 23 | ) 24 | connection.invalidate() 25 | 26 | # use SQLAlchemy 2.0 API if available 27 | if hasattr(connection, "rollback"): 28 | connection.rollback() 29 | else: 30 | trans = connection.get_transaction() 31 | if trans: 32 | trans.rollback() 33 | 34 | time.sleep(retry_interval) 35 | context.cursor = cursor = connection.connection.cursor() 36 | else: 37 | raise 38 | else: 39 | return True 40 | 41 | e = engine.execution_options(isolation_level="READ COMMITTED") 42 | 43 | @event.listens_for(e, "do_execute_no_params") 44 | def do_execute_no_params(cursor, statement, context): 45 | return _run_with_retries( 46 | context.dialect.do_execute_no_params, context, cursor, statement 47 | ) 48 | 49 | @event.listens_for(e, "do_execute") 50 | def do_execute(cursor, statement, parameters, context): 51 | return _run_with_retries( 52 | context.dialect.do_execute, context, cursor, statement, parameters 53 | ) 54 | 55 | return e 56 | 57 | 58 | SQLALCHEMY_DATABASE_URI = f"postgresql+psycopg2://{os.environ['POSTGRES_USER']}:{os.environ['POSTGRES_PASSWORD']}@{os.environ['POSTGRES_HOSTNAME']}:{os.environ['POSTGRES_PORT']}/{os.environ['POSTGRES_DB']}" 59 | engine = reconnecting_engine( 60 | create_engine(SQLALCHEMY_DATABASE_URI, 61 | echo_pool=True, 62 | pool_pre_ping=True 63 | ), 64 | num_retries=5, 65 | retry_interval=2, 66 | ) 67 | 68 | Session = scoped_session(sessionmaker(autocommit=False, autoflush=True, bind=engine, expire_on_commit=False)) 69 | -------------------------------------------------------------------------------- /Micro-redis-draw-digram: -------------------------------------------------------------------------------- 1 | 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