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Designing asynchronous transactions 258 Using the HTTP/2 protocol 261 Creating asynchronous background tasks 261 Using the coroutines 261 Creating multiple tasks 263 Understanding Celery tasks 263 Creating and configuring the Celery instance 264 Creating the task 266 Calling the task 267 Starting the worker server 267 Monitoring the tasks 268 Building message-driven transactions using RabbitMQ 269 Creating the Celery instance 269 Monitoring AMQP messaging 269 Building publish/subscribe messaging using Kafka 270 Running the Kafka broker and server 271 Creating the topic 271 Implementing the publisher 271 Running a consumer on a console 272 Implementing asynchronous Server-Sent Events (SSE) 273 Building an asynchronous WebSocket 275 Implementing the asynchronous WebSocket endpoint 275 Implementing the WebSocket client 276 Applying reactive programming in tasks 277 Creating the Observable data using coroutines 278 Creating background process 280 Accessing API resources 281 Customizing events 283 Defining the startup event 283 Defining shutdown events 284 Summary 284 Table of Contents xiii Part 3: Infrastructure-Related Issues, Numerical and Symbolic Computations, and Testing Microservices 9 Utilizing Other Advanced Features 287 Technical requirements 288 Applying session management 288 Creating user sessions 288 Managing session data 291 Removing the sessions 292 Customizing BaseHTTPMiddleware 293 Managing the CORS mechanism 295 Customizing APIRoute and Request 297 Managing body, form, or JSON data 297 Encrypting and decrypting the message body 300 Choosing the appropriate responses 302 Setting up the Jinja2 template engine 307 Setting up the static resources 307 Creating the template layout 308 Using ORJSONResponse and UJSONResponse 310 Applying the OpenAPI 3.x specification 311 Extending the OpenAPI schema definition 311 Using the internal code base properties 314 Using the Query, Form, Body, and Path functions 316 Testing the API endpoints 320 Writing the unit test cases 321 Mocking the dependencies 321 Running test methods 323 Summary 324 10 Solving Numerical, Symbolic, and Graphical Problems 325 Technical requirements 326 Setting up the projects 326 Using the Piccolo ORM 326 The Beanie ODM 331 Implementing symbolic computations 331 Creating symbolic expressions 331 Solving linear expressions 332 Table of Contents xiv Solving non-linear expressions 333 Solving linear and non-linear inequalities 333 Creating arrays and DataFrames 334 Applying NumPy’s linear system operations 335 Applying the pandas module 336 Performing statistical analysis 337 Generating CSV and XLSX reports 338 Plotting data models 342 Simulating a BPMN workflow 346 Designing the BPMN workflow 346 Implementing the workflow 348 Using GraphQL queries and mutations 350 Setting up the GraphQL platform 350 Creating the record insertion, update, and deletion 350 Implementing the query transactions 353 Running the CRUD transactions 353 Utilizing the Neo4j graph database 355 Setting the Neo4j database 356 Creating the CRUD transactions 356 Summary 360 11 Adding Other Microservice Features 361 Technical requirements 362 Setting up the virtual environment 362 Checking the API properties 364 Implementing open tracing mechanisms 365 Setting up service registry and client-side service discovery 369 Implementing client-side service discovery 370 Setting up the Netflix Eureka service registry 371 Deploying and running applications using Docker 372 Generating the requirements.txt file 372 Creating the Docker image 373 Using the Mongo Docker image 374 Creating the containers 374 Using Docker Compose for deployment 375 Using NGINX as an API Gateway 376 Integrating Flask and Django sub-applications 377 Summary 380 Table of Contents xv Index 381 Other Books You May Enjoy 394 Preface This book teaches you about the components of the FastAPI framework and how to apply these components with some third-party tools to build microservices applications. You will need a background in Python programming, knowledge of the principles of API development, and an understanding of the principles behind creating an enterprise-grade microservice application. This is more than a reference book: it provides some code blueprints that will help you solve real-world applications while elaborating on and demonstrating the topics of each chapter. Who this book is for This book is for Python web developers, advanced Python users, and backend developers using Flask or Django who want to learn how to use the FastAPI framework to implement microservices. Readers knowledgeable about REST API and microservices will also benefit from this book. Some parts of the book contain general concepts, processes, and instructions that intermediate-level developers and Python enthusiasts can relate to as well. tải về 6.62 Mb. Chia sẻ với bạn bè của bạn:
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