{"id":13599721,"url":"https://github.com/ris-tlp/audiophile-e2e-pipeline","last_synced_at":"2025-04-10T17:32:00.549Z","repository":{"id":61060639,"uuid":"543533670","full_name":"ris-tlp/audiophile-e2e-pipeline","owner":"ris-tlp","description":"Pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard.","archived":false,"fork":false,"pushed_at":"2023-01-01T12:08:22.000Z","size":867,"stargazers_count":195,"open_issues_count":2,"forks_count":41,"subscribers_count":3,"default_branch":"main","last_synced_at":"2024-11-07T01:39:00.681Z","etag":null,"topics":["airflow","aws","data-engineering","metabase","python","terraform"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ris-tlp.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-09-30T09:51:57.000Z","updated_at":"2024-11-04T19:25:06.000Z","dependencies_parsed_at":"2023-01-31T22:15:18.321Z","dependency_job_id":null,"html_url":"https://github.com/ris-tlp/audiophile-e2e-pipeline","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ris-tlp%2Faudiophile-e2e-pipeline","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ris-tlp%2Faudiophile-e2e-pipeline/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ris-tlp%2Faudiophile-e2e-pipeline/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ris-tlp%2Faudiophile-e2e-pipeline/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ris-tlp","download_url":"https://codeload.github.com/ris-tlp/audiophile-e2e-pipeline/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248261994,"owners_count":21074229,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["airflow","aws","data-engineering","metabase","python","terraform"],"created_at":"2024-08-01T17:01:09.936Z","updated_at":"2025-04-10T17:32:00.267Z","avatar_url":"https://github.com/ris-tlp.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# Audiophile End-To-End ELT Pipeline\n\nPipeline that extracts data from [Crinacle's](https://crinacle.com/) Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard.\n\n## Architecture\n\n![Architecture](https://github.com/ris-tlp/audiophile-e2e-pipeline/blob/main/images/architecture.jpeg)\n\nInfrastructure provisioning through [Terraform](https://www.terraform.io/), containerized through [Docker](https://www.docker.com/) and orchestrated through [Airflow](https://airflow.apache.org/). Created dashboard through [Metabase](https://www.metabase.com/).\n\nDAG Tasks:\n\n1. Scrape data from [Crinacle's](https://crinacle.com/) website to generate bronze data.\n2. Load bronze data to [AWS S3](https://aws.amazon.com/s3/).\n3. Initial data parsing and validation through [Pydantic](https://github.com/pydantic/pydantic) to generate silver data.\n4. Load silver data to [AWS S3](https://aws.amazon.com/s3/).\n5. Load silver data to [AWS Redshift](https://aws.amazon.com/redshift/).\n6. Load silver data to [AWS RDS](https://aws.amazon.com/rds/) for future projects.\n7. and 8. Transform and test data through [dbt](https://docs.getdbt.com/) in the warehouse.\n\n## Dashboard\n\n![Dashboard](https://github.com/ris-tlp/audiophile-e2e-pipeline/blob/main/images/metabase_dashboard.jpeg)\n\n## Requirements\n\n1. Configure AWS account through [AWS CLI](https://aws.amazon.com/cli/). [Reqruired for Terraform]\n2. [Terraform](https://www.terraform.io/). [Required to provision AWS services]\n3. [Docker / Docker-Compose](https://www.docker.com/). [Required to run Airflow DAG / pipeline]\n\n## Run Pipeline\n\n1. `make infra`: create AWS services. You will be asked to enter a password for your Redshift and RDS clusters.\n2. `make config`: generate configuration with Terraform outputs and AWS credentials.\n3. `make base-build`: build base airflow image with project requirements.\n4. `make build`: build docker images for airflow.\n5. `make up`: run the pipeline.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fris-tlp%2Faudiophile-e2e-pipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fris-tlp%2Faudiophile-e2e-pipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fris-tlp%2Faudiophile-e2e-pipeline/lists"}