.github/scripts/update_stats.py

import requests
import csv
import pandas as pd
import matplotlib.pyplot as plt
from datetime import datetime
from pathlib import Path
import os
import re

# Get the repository root (works both for local and GitHub Actions)
if 'GITHUB_WORKSPACE' in os.environ:
    REPO_ROOT = Path(os.environ['GITHUB_WORKSPACE'])
else:
    # Find git root when running locally
    current_dir = Path(__file__).resolve().parent
    while current_dir != current_dir.parent:
        if (current_dir / '.git').exists():
            REPO_ROOT = current_dir
            break
        current_dir = current_dir.parent
    else:
        raise RuntimeError("Not in a git repository")

# Define paths relative to repository root
CSV_PATH = REPO_ROOT / 'daily_downloads.csv'
IMAGE_PATH = REPO_ROOT / 'download_statistics.png'
README_PATH = REPO_ROOT / 'README.md'
API_URL = "https://huggingface.co/api/datasets/danielrosehill/ifvi_valuefactors_deriv?expand[]=downloads&expand[]=downloadsAllTime"

def update_csv():
    response = requests.get(API_URL)
    data = response.json()
    downloads = data.get('downloadsAllTime', 0)
    today = datetime.now().strftime('%Y-%m-%d')
    
    try:
        with open(CSV_PATH, mode='r') as file:
            reader = csv.reader(file)
            rows = list(reader)
    except FileNotFoundError:
        rows = [["Date", "Total Downloads"]]
    
    # Check if today's date is already in the CSV
    today_exists = False
    for i, row in enumerate(rows):
        if len(row) > 0 and row[0] == today:
            rows[i] = [today, downloads]
            today_exists = True
            break
    
    # If today's date is not in the CSV, add it
    if not today_exists:
        rows.append([today, downloads])
    
    with open(CSV_PATH, mode='w', newline='') as file:
        writer = csv.writer(file)
        writer.writerows(rows)
    
    print(f"Updated CSV with {downloads} downloads for {today}")

def generate_image():
    data = pd.read_csv(CSV_PATH)
    data['Date'] = pd.to_datetime(data['Date'])
    data = data.sort_values('Date')

    plt.figure(figsize=(10, 6))
    plt.plot(data['Date'], data['Total Downloads'], marker='o', label='Total Downloads')
    plt.title('Cumulative Downloads Over Time')
    plt.xlabel('Date')
    plt.ylabel('Cumulative Downloads')
    plt.grid(True)
    plt.legend()
    plt.xticks(rotation=45)
    plt.tight_layout()
    plt.savefig(IMAGE_PATH)
    plt.close()
    
    print(f"Generated download statistics image at {IMAGE_PATH}")

def update_readme():
    # The badge in the README is already dynamic and will update automatically
    # This function ensures the download_statistics.png image is properly referenced
    
    with open(README_PATH, 'r') as file:
        content = file.read()
    
    # Check if we need to add a download statistics section with the image
    if "## Cumulative Download Statistics" not in content and "![Cumulative Download Statistics]" not in content:
        # Find a good place to insert the download statistics section - after the badges and before navigation index
        badge_line = "![Dataset Downloads Hugging Face](https://img.shields.io/badge/dynamic/json?color=brightgreen&label=Cumulative%20Dataset%20Downloads&query=$.downloadsAllTime&url=https://huggingface.co/api/datasets/danielrosehill/ifvi_valuefactors_deriv)"
        navigation_index = "## 📑 Navigation Index"
        
        if badge_line in content and navigation_index in content:
            # Insert after the badges and before navigation index
            parts = content.split(badge_line)
            badge_part = parts[0] + badge_line
            rest_parts = parts[1].split(navigation_index)
            
            content = badge_part + "\n\n## Cumulative Download Statistics\n\n![Cumulative Download Statistics](download_statistics.png)\n\n" + navigation_index + rest_parts[1]
        else:
            # Fallback: Insert at the beginning of the file
            content = content.split("---\n", 2)
            if len(content) >= 3:
                content = "---\n" + content[1] + "---\n" + "## Cumulative Download Statistics\n\n![Cumulative Download Statistics](download_statistics.png)\n\n" + content[2]
            else:
                content = "## Cumulative Download Statistics\n\n![Cumulative Download Statistics](download_statistics.png)\n\n" + content[0]
    
    # Update existing section if it exists but is in the wrong place
    elif "## Cumulative Download Statistics" in content:
        # First remove the existing section
        section_start = content.find("## Cumulative Download Statistics")
        section_end = content.find("\n\n", section_start + 30)  # Look for the end of the section
        if section_end == -1:  # If not found, try to find the next heading
            section_end = content.find("\n##", section_start + 30)
            if section_end == -1:  # If still not found, just use the rest of the content
                section_end = len(content)
        else:
            section_end += 2  # Include the newlines
        
        section_content = content[section_start:section_end]
        content = content.replace(section_content, "")
        
        # Then add it in the right place
        badge_line = "![Dataset Downloads Hugging Face](https://img.shields.io/badge/dynamic/json?color=brightgreen&label=Cumulative%20Dataset%20Downloads&query=$.downloadsAllTime&url=https://huggingface.co/api/datasets/danielrosehill/ifvi_valuefactors_deriv)"
        navigation_index = "## 📑 Navigation Index"
        
        if badge_line in content and navigation_index in content:
            parts = content.split(badge_line)
            badge_part = parts[0] + badge_line
            rest_parts = parts[1].split(navigation_index)
            
            content = badge_part + "\n\n## Cumulative Download Statistics\n\n![Cumulative Download Statistics](download_statistics.png)\n\n" + navigation_index + rest_parts[1]
    
    with open(README_PATH, 'w') as file:
        file.write(content)
    
    print(f"Updated README with cumulative download statistics section")

if __name__ == "__main__":
    update_csv()
    generate_image()
    update_readme()