FastAPI Python Tutorial: Build an Analytics API from Scratch

FastAPI Python Tutorial: Build an Analytics API from Scratch

FastAPI Python Tutorial: Build an Analytics API from Scratch

Own your own data pipeline and built an Analytics API from scratch in this tutorial. We’ll go step-by-step building a production-ready API microservice so you can harness time-series data to analyze traffic of any web application.

πŸ•ΉοΈ Key Tech:
– Python
– FastAPI
– SQLModel + SQLAlchemy
– TimescaleDB
– Docker

πŸ”— Links & References
– Course Code: https://github.com/codingforentrepreneurs/analytics-api
– Sign up for Timescale with my link: https://tsdb.co/justin-api-1
– pip install timescaledb-python: https://github.com/jmitchel3/timescaledb-python
– Railway Templates: fastapicontainer.com & jupytercontainer.com
– FastAPI https://fastapi.tiangolo.com/
– SQLModel: sqlmodel.tiangolo.com/

πŸ‘‰ Topics Covered:
βœ… Development Environment Setup – Install Python 3, create virtual environments, and set up your workspace properly. All from scratch.
βœ… FastAPI Fundamentals – Build your first API endpoints in minutes with Python basics.
βœ… Containers with Docker & Docker Compose – Create optimized containers for both development and production environments
βœ… Data Schemas with Pydantic – ensure valid incoming and outgoing data using the powerful Pydantic for serialization and validation.
βœ… Use SQLModel to connect FastAPI to PostgreSQL with type-safe database operations based on Pydantic and SQLAlchemy.
βœ… Time Series Optimization – Transform regular postgres tables into Timescale hypertables for efficient time-based queries and support massive data ingestion.
βœ… Advanced Data Aggregation – Implement time bucket queries that analyze patterns across different time intervals
βœ… Production Deployment – Deploy your API to Railway in minutes with public and private connections
βœ… TimescaleDB Cloud Integration – Connect to managed database services optimized for time series workloads and saving time and headache managing production databases
βœ… Secure your API and data with private networking
βœ… And more

Chapters
00:00:00 Welcome
00:03:21 Demo
00:06:45 Tools
00:10:31 Setup Development Environment
00:12:15 Download & Install Python 3
00:15:40 Create a Python Virtual Environment
00:20:24 Install Python Packages
00:27:53 FastAPI Hello World
00:33:42 Docker Desktop & Docker Compose
00:44:04 Production Dockerfile for FastAPI
00:52:47 Build & Run FastAPI Container
00:57:54 Development Mode with Docker Compose
01:11:36 Section Wrap Up
01:14:27 Routing & Data Validation
01:16:51 Our First API Endpoint
01:21:11 FastAPI Routing Module
01:26:03 Verify API Endpoint
01:29:21 Basic Data Types
01:37:10 List Data Types
01:41:41 POST Method to Send our API Data
01:51:47 Incoming Data Validation with Pydantic Schemas
01:57:56 Optional Values with Pydantic
02:04:30 Section Wrap Up
02:06:13 Storing Data with SQLModel
02:07:48 Postgres or TimescaleDB with Docker Compose
02:16:39 Load Environment Variables with Python
02:24:07 Pydantic to SQLModel
02:26:35 First SQL Table with SQLModel
02:33:50 Create Database Tables with FastAPI Lifespan
02:40:44 Database Connection Issues
02:45:59 Store Data using SQLModel Sessions
02:51:48 SQLModel Query for List View
02:57:01 Detail Lookup via SQLModel
03:01:50 Update Data with SQLModel
03:05:30 Adding a Datetime Field
03:10:39 Updated At Timestamp Field
03:14:12 Section Wrap Up
03:15:30 Time Series Data in Postgres
03:17:33 SQLModel to TimescaleModel
03:22:04 Creating Hypertables
03:25:33 Chunks & Retention in Hypertables
03:30:56 Verify Hypertables with PopSQL
03:36:34 SQLModel Queries in Notebooks
03:42:06 Aggregate Data with Time Buckets
03:52:46 Time Bucket Aggregations with FastAPI & Timescale
04:01:08 Web Traffic Data and More Aggregations
04:12:43 Section Wrap Up
04:14:02 Deploy
04:15:04 Add CORS to FastAPI
04:17:17 Fork the Analytics FastAPI Project
04:20:34 First Deploy on Railway
04:22:35 Provision Database on Timescale Cloud & Deploy
04:28:35 Test Data to Production Endpoint
04:30:17 Analytics API with Private Networking
04:41:41 Section Wrap Up
04:43:14 Thank you

https://www.youtube.com/watch?v=tiBeLLv5GJo

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