2024-06-10-15-48-38 (#27)

* 2024-06-10-15-48-38

* 2024-06-10-15-58-15

* 2024-06-10-16-05-48 - remove-redundant-commands

* 2024-06-12-14-45-15

* 2024-06-12-15-03-50

* 2024-06-12-15-12-09

* 2024-06-12-15-13-08

* 2024-06-12-15-15-49

* 2024-06-12-15-18-28

* 2024-06-12-15-19-26

* 2024-06-12-15-25-54

* 2024-06-12-15-26-39

* 2024-06-12-15-32-36

* 2024-06-12-15-40-45

---------

Co-authored-by: JosephKevinMachado <[email protected]>

.gitignore

@@ -28,9 +28,6 @@ __pycache__
 # policy
 trust-policy.json
 
-# data
-data*
-
 # logs
 logs/*
 *.log
@@ -80,3 +77,6 @@ override.tf.json
 terraform.rc
 Footer
 
+dashboard_files/
+
+data/*.csv

.tool-versions

@@ -0,0 +1 @@
+python 3.11.1

Makefile

@@ -2,15 +2,17 @@
 # Setup containers to run Airflow
 
 docker-spin-up:
-	docker compose --env-file env up airflow-init && docker compose --env-file env up --build -d
+	docker compose up airflow-init && docker compose up --build -d
 
 perms:
-	sudo mkdir -p logs plugins temp dags tests migrations && sudo chmod -R u=rwx,g=rwx,o=rwx logs plugins temp dags tests migrations
+	sudo mkdir -p logs plugins temp dags tests migrations data visualization && sudo chmod -R u=rwx,g=rwx,o=rwx logs plugins temp dags tests migrations data visualization
 
-up: perms docker-spin-up warehouse-migration
+up: perms docker-spin-up 
 
 down:
-	docker compose down
+	docker compose down --volumes --rmi all
+
+restart: down up
 
 sh:
 	docker exec -ti webserver bash
@@ -50,18 +52,6 @@ infra-down:
 infra-config:
 	terraform -chdir=./terraform output
 
-####################################################################################################################
-# Create tables in Warehouse
-
-db-migration:
-	@read -p "Enter migration name:" migration_name; docker exec webserver yoyo new ./migrations -m "$$migration_name"
-
-warehouse-migration:
-	docker exec webserver yoyo develop --no-config-file --database postgres://sdeuser:sdepassword1234@warehouse:5432/finance ./migrations
-
-warehouse-rollback:
-	docker exec webserver yoyo rollback --no-config-file --database postgres://sdeuser:sdepassword1234@warehouse:5432/finance ./migrations
-
 ####################################################################################################################
 # Port forwarding to local machine
 

README.md

@@ -1,21 +1,90 @@
+
+
+* [Data engineering project template](#data-engineering-project-template)
+    * [Prerequisites](#prerequisites)
+    * [Run code](#run-code)
+        * [Codespaces](#codespaces)
+        * [Your machine](#your-machine)
+    * [Infrastructure](#infrastructure)
+    * [Using template](#using-template)
+    * [Writing pipelines](#writing-pipelines)
+    * [(Optional) Advanced cloud setup](#optional-advanced-cloud-setup)
+        * [Prerequisites:](#prerequisites-1)
+        * [Tear down infra](#tear-down-infra)
+
 # Data engineering project template
 
 Detailed explanation can be found **[`in this post`](https://www.startdataengineering.com/post/data-engineering-projects-with-free-template/)**
 
-## Prerequisites   
-
-To use the template, please install the following. 
+## Prerequisites
 
 1. [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
 2. [Github account](https://github.com/)
-3. [Terraform](https://learn.hashicorp.com/tutorials/terraform/install-cli) 
-4. [AWS account](https://aws.amazon.com/) 
-5. [AWS CLI installed](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html) and [configured](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html)
-6. [Docker](https://docs.docker.com/engine/install/) with at least 4GB of RAM and [Docker Compose](https://docs.docker.com/compose/install/) v1.27.0 or later
+3. [Docker](https://docs.docker.com/engine/install/) with at least 4GB of RAM and [Docker Compose](https://docs.docker.com/compose/install/) v1.27.0 or later
+
+## Run code
+
+### Codespaces
+
+Start a code spaces, run `make up`, wait until its ready and click on the link in the Port tab to see the AirflowUI.
+
+![CodeSpace start](./assets/images/cs1.png)
+![Codespace make up](./assets/images/cs2.png)
+![Codespace open Airflow UI](./assets/images/cs3.png)
+
+**Note**: Make sure to turn off your codespaces when you are done, you only have a limited amount of free codespace use.
+
+### Your machine
+
+Clone the repo and run the `make up` command as shown here:
+
+```bash
+git clone https://github.com/josephmachado/data_engineering_project_template.git
+cd data_engineering_project_template
+make up
+make ci # run checks and tests
+sleep 30 # wait for Airflow to start
+```
+**Windows users**: please setup WSL and a local Ubuntu Virtual machine following **[the instructions here](https://ubuntu.com/tutorials/install-ubuntu-on-wsl2-on-windows-10#1-overview)**. Install the above prerequisites on your ubuntu terminal; if you have trouble installing docker, follow **[the steps here](https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-22-04#step-1-installing-docker)** (only Step 1 is necessary). Please install the **make** command with `sudo apt install make -y` (if its not already present). 
+
+Go to [http:localhost:8080](http:localhost:8080) to see the Airflow UI. Username and password are both `airflow`.
+
+## Infrastructure
+
+This data engineering project template, includes the following:
+
+1. **`Airflow`**: To schedule and orchestrate DAGs.
+2. **`Postgres`**: To store Airflow's details (which you can see via Airflow UI) and also has a schema to represent upstream databases.
+3. **`DuckDB`**: To act as our warehouse
+4. **`Quarto with Plotly`**: To convert code in `markdown` format to html files that can be embedded in your app or servered as is.
+5. **`minio`**: To provide an S3 compatible open source storage system.
+
+For simplicity services 1-4 of the above are installed and run in one container defined [here](./containers/airflow/Dockerfile).
 
-If you are using windows please setup WSL and a local Ubuntu Virtual machine following **[the instructions here](https://ubuntu.com/tutorials/install-ubuntu-on-wsl2-on-windows-10#1-overview)**. Install the above prerequisites on your ubuntu terminal, if you have trouble installing docker follow **[the steps here](https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-22-04#step-1-installing-docker)**.
+![File strucutre](./assets/images/fs.png)
+![DET](./assets/images/det.png)
 
-### Setup infra
+## Using template
+
+You can use this repo as a template and create your own, click on the `Use this template` button.
+
+![Template](./assets/images/template.png)
+
+## Writing pipelines
+
+We have a sample pipeline at [coincap_elt.py](./dags/coincap_elt.py) that you can use as a starter to create your own DAGs. The tests are available at [./tests](./tests) folder.
+
+Once the `coincap_elt` DAG runs, we can see the dashboard html at [./visualization/dashboard.html](./visualization/dashboard.html) and will look like ![Dashboard](./assets/images/dash.png).
+
+## (Optional) Advanced cloud setup
+
+If you want to run your code on an EC2 instance, with terraform, follow the steps below.
+
+### Prerequisites:
+
+1. [Terraform](https://learn.hashicorp.com/tutorials/terraform/install-cli) 
+2. [AWS account](https://aws.amazon.com/) 
+3. [AWS CLI installed](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html) and [configured](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html)
 
 You can create your GitHub repository based on this template by clicking on the `Use this template button in the **[data_engineering_project_template](https://github.com/josephmachado/data_engineering_project_template)** repository. Clone your repository and replace content in the following files
 
@@ -26,10 +95,6 @@ You can create your GitHub repository based on this template by clicking on the
 Run the following commands in your project directory.
 
 ```shell
-# Local run & test
-make up # start the docker containers on your computer & runs migrations under ./migrations
-make ci # Runs auto formatting, lint checks, & all the test files under ./tests
-
 # Create AWS services with Terraform
 make tf-init # Only needed on your first terraform run (or if you add new providers)
 make infra-up # type in yes after verifying the changes TF will make
@@ -45,21 +110,6 @@ make cloud-metabase # this command will forward Metabase port from EC2 to your m
 # use https://github.com/josephmachado/data_engineering_project_template/blob/main/env file to connect to the warehouse from metabase
 ```
 
-**Data infrastructure**
-![DE Infra](/assets/images/infra.png)
-
-**Project structure**
-![Project structure](/assets/images/proj_1.png)
-![Project structure - GH actions](/assets/images/proj_2.png)
-
-Database migrations can be created as shown below.
-
-```shell
-make db-migration # enter a description, e.g. create some schema
-# make your changes to the newly created file under ./migrations
-make warehouse-migration # to run the new migration on your warehouse
-```
-
 For the [continuous delivery](https://github.com/josephmachado/data_engineering_project_template/blob/main/.github/workflows/cd.yml) to work, set up the infrastructure with terraform, & defined the following repository secrets. You can set up the repository secrets by going to `Settings > Secrets > Actions > New repository secret`.
 
 1. **`SERVER_SSH_KEY`**: We can get this by running `terraform -chdir=./terraform output -raw private_key` in the project directory and paste the entire content in a new Action secret called SERVER_SSH_KEY.
@@ -73,4 +123,5 @@ After you are done, make sure to destroy your cloud infrastructure.
 ```shell
 make down # Stop docker containers on your computer
 make infra-down # type in yes after verifying the changes TF will make
-```
+```
+

containers/airflow/Dockerfile

@@ -1,3 +1,6 @@
-FROM apache/airflow:2.2.0
+FROM apache/airflow:2.9.2
 COPY requirements.txt /
 RUN pip install --no-cache-dir -r /requirements.txt
+
+COPY quarto.sh /
+RUN cd / && bash /quarto.sh

containers/airflow/quarto.sh

@@ -0,0 +1,12 @@
+#!/bin/bash
+
+curl -L -o ~/quarto-1.5.43-linux-amd64.tar.gz https://github.com/quarto-dev/quarto-cli/releases/download/v1.5.43/quarto-1.5.43-linux-amd64.tar.gz
+mkdir ~/opt
+tar -C ~/opt -xvzf ~/quarto-1.5.43-linux-amd64.tar.gz
+
+mkdir ~/.local/bin
+ln -s ~/opt/quarto-1.5.43/bin/quarto ~/.local/bin/quarto
+
+( echo ""; echo 'export PATH=$PATH:~/.local/bin\n' ; echo "" ) >> ~/.profile
+source ~/.profile
+

containers/airflow/requirements.txt

@@ -1,9 +1,13 @@
-black==22.8.0
-flake8==5.0.4
-mypy==0.971
-isort==5.10.1
-moto[all]==4.0.6
-pytest==7.0.1
-pytest-mock==3.6.1
-apache-airflow-client==2.3.0
-yoyo-migrations==8.0.0
+black==24.4.2
+flake8==7.0.0
+mypy==1.10.0
+isort==5.13.2
+moto[all]==5.0.9
+pytest==8.2.2
+pytest-mock==3.14.0
+apache-airflow-client==2.9.0
+yoyo-migrations==8.2.0
+duckdb==1.0.0
+plotly==5.22.0
+jupyter==1.0.0
+types-requests==2.32.0.20240602

dags/coincap_elt.py

@@ -0,0 +1,43 @@
+import csv
+import os
+from datetime import datetime, timedelta
+
+import requests
+
+from airflow import DAG
+from airflow.decorators import task
+from airflow.operators.bash import BashOperator
+
+with DAG(
+    'coincap_elt',
+    description='A simple DAG to fetch data \
+    from CoinCap Exchanges API and write to a file',
+    schedule_interval=timedelta(days=1),
+    start_date=datetime(2023, 1, 1),
+    catchup=False,
+) as dag:
+
+    url = "https://api.coincap.io/v2/exchanges"
+    file_path = f'{os.getenv("AIRFLOW_HOME")}/data/coincap_exchanges.csv'
+
+    @task
+    def fetch_coincap_exchanges(url, file_path):
+        response = requests.get(url)
+        data = response.json()
+        exchanges = data['data']
+        if exchanges:
+            keys = exchanges[0].keys()
+            with open(file_path, 'w') as f:
+                dict_writer = csv.DictWriter(f, fieldnames=keys)
+                dict_writer.writeheader()
+                dict_writer.writerows(exchanges)
+
+    markdown_path = f'{os.getenv("AIRFLOW_HOME")}/visualization/'
+    q_cmd = (
+        f'cd {markdown_path} && quarto render {markdown_path}/dashboard.qmd'
+    )
+    gen_dashboard = BashOperator(
+        task_id="generate_dashboard", bash_command=q_cmd
+    )
+
+    fetch_coincap_exchanges(url, file_path) >> gen_dashboard

docker-compose.yml

@@ -1,41 +1,3 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-
-# Basic Airflow cluster configuration for CeleryExecutor with Redis and PostgreSQL.
-#
-# WARNING: This configuration is for local development. Do not use it in a production deployment.
-#
-# This configuration supports basic configuration using environment variables or an .env file
-# The following variables are supported:
-#
-# AIRFLOW_IMAGE_NAME         - Docker image name used to run Airflow.
-#                              Default: apache/airflow:master-python3.8
-# AIRFLOW_UID                - User ID in Airflow containers
-#                              Default: 50000
-# AIRFLOW_GID                - Group ID in Airflow containers
-#                              Default: 50000
-# _AIRFLOW_WWW_USER_USERNAME - Username for the administrator account.
-#                              Default: airflow
-# _AIRFLOW_WWW_USER_PASSWORD - Password for the administrator account.
-#                              Default: airflow
-#
-# Feel free to modify this file to suit your needs.
----
 version: '3'
 x-airflow-common:
   &airflow-common
@@ -50,14 +12,11 @@ x-airflow-common:
     AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
     AIRFLOW__API__AUTH_BACKEND: 'airflow.api.auth.backend.basic_auth'
     AIRFLOW_CONN_POSTGRES_DEFAULT: postgres://airflow:airflow@postgres:5432/airflow
-    WAREHOUSE_USER: ${POSTGRES_USER}
-    WAREHOUSE_PASSWORD: ${POSTGRES_PASSWORD}
-    WAREHOUSE_DB: ${POSTGRES_DB}
-    WAREHOUSE_HOST: ${POSTGRES_HOST}
-    WARREHOUSE_PORT: ${POSTGRES_PORT}
 
   volumes:
     - ./dags:/opt/airflow/dags
+    - ./data:/opt/airflow/data
+    - ./visualization:/opt/airflow/visualization
     - ./logs:/opt/airflow/logs
     - ./plugins:/opt/airflow/plugins
     - ./tests:/opt/airflow/tests
@@ -71,7 +30,7 @@ x-airflow-common:
 services:
   postgres:
     container_name: postgres
-    image: postgres:13
+    image: postgres:16
     environment:
       POSTGRES_USER: airflow
       POSTGRES_PASSWORD: airflow
@@ -127,24 +86,3 @@ services:
       _AIRFLOW_WWW_USER_CREATE: 'true'
       _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
       _AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
-
-  dashboard:
-    image: metabase/metabase
-    container_name: dashboard
-    ports:
-      - "3000:3000"
-
-  warehouse:
-    image: postgres:13
-    container_name: warehouse
-    environment:
-      POSTGRES_USER: ${POSTGRES_USER}
-      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
-      POSTGRES_DB: ${POSTGRES_DB}
-    healthcheck:
-      test: [ "CMD", "pg_isready", "-U", "${POSTGRES_USER}" ]
-      interval: 5s
-      retries: 5
-    restart: always
-    ports:
-      - "5439:5432"