lab5

[Alexeyzem]

No description provided.

[Copilot]

Pull request overview

This PR sets up an Apache Airflow environment for Lab 5, implementing an HR data pipeline that generates and processes employee data. The implementation includes Docker containerization with CeleryExecutor and PostgreSQL, along with three DAGs for schema initialization, data generation, and metric calculation.

Key Changes

• Docker-based Airflow deployment with CeleryExecutor, Redis, and PostgreSQL
• Three DAGs: schema initialization, random employee data generation (10,000 records), and monthly hiring metrics calculation
• Custom Dockerfile with PostgreSQL provider dependencies

Reviewed changes

Copilot reviewed 7 out of 7 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
requirements.txt	Adds PostgreSQL provider for Airflow database operations
docker-compose.yaml	Configures multi-service Airflow cluster with webserver, scheduler, worker, and triggerer
init_schema.py	Creates database tables for employees and monthly hiring metrics
init_data.py	Generates 10,000 random employee records with Russian names
collect_data.py	Calculates and stores monthly hiring statistics
Dockerfile	Builds custom Airflow image with system dependencies and Python packages
.env	Sets Airflow user ID for container permissions

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