# ================================================================
#  GitHub Actions Workflow: Run Stock Analyzer Script
# ================================================================
#  🔹 This workflow automatically runs the stock prediction analysis  
#     script at scheduled times or when triggered manually.
#  
#  ✅ Runs daily at midnight (00:00 UTC) to analyze real-time stock data.
#  ✅ Can be manually triggered from the GitHub Actions UI.
#  
#  📌 Steps:
#  1️⃣ Check out the repository to the GitHub Actions runner.
#  2️⃣ Sets up Python (version 3.10 by default).
#  3️⃣ Installs any required dependencies listed in `requirements.txt`.
#  4️⃣ Runs the real-time stock prediction analysis script (`run_analyzer.py`).
#  
#  🚀 No personal access token (PAT) required! Uses `GITHUB_TOKEN` for the workflow.
# ================================================================

name: Run Stock Analyzer Script

# This workflow is designed to run the stock analysis script either manually
# or automatically every day at 12:00 AM (midnight).
# The automatic schedule part is commented out by default — you can uncomment it as needed.

on:
  # Allows manual triggering from the GitHub Actions UI
  workflow_dispatch:

  # Uncomment below to schedule this workflow to run daily at 12:00 AM UTC (adjust as per timezone)
  # schedule:
  #   - cron: '0 0 * * *'  # Runs at 00:00 (midnight) UTC every day

jobs:
  run-analyzer:
    name: Execute Real-Time Stock Prediction
    runs-on: ubuntu-latest

    steps:
      # Step 1: Checkout the repository to the GitHub Actions runner
      - name: Checkout Repository
        uses: actions/checkout@v3

      # Step 2: Set up Python (adjust version if needed)
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.10'

      # Step 3: Install required dependencies from requirements.txt (if exists)
      - name: Install Dependencies
        run: |
          # If a requirements file exists in the current directory, install all listed dependencies
          if [ -f "requirements.txt" ]; then
            pip install -r requirements.txt
          fi

      # Step 4: Run the Python script for stock analysis
      - name: Run Analyzer Script
        run: |
          echo "Running Real-Time Stock Prediction script..."
          python Codes/Historical_Data_Analysis/Real_Time_Stock_Prediction/run_analyzer.py