preprocess.py

import os
import json
import requests
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

# Get the GitHub token from the environment variable
GITHUB_TOKEN = os.getenv("GITHUB_TOKEN")

# Set the GitHub repository URLs
repo_urls = [
   "https://github.com/gizatechxyz/orion",
   "https://github.com/gizatechxyz/Giza-Hub",
    "https://github.com/zkonduit/ezkl",
    "https://github.com/socathie/keras2circom",
  "https://github.com/socathie/circomlib-ml"
 "https://github.com/worldcoin/proto-neural-zkp",
 "https://github.com/Modulus-Labs/RockyBot"
 "https://github.com/ora-io/keras2circom",
 "https://github.com/zk-ml/tachikoma",
 "https://github.com/only4sim/ZK-DTP",
 "https://github.com/ddkang/zkml",
 "https://github.com/socathie/ZKaggleV2"
]

# Set the output file name
output_file = "dataset.json"

# Initialize an empty list to store the dataset
dataset = []

def retrieve_files(repo_url, path=""):
    repo_owner, repo_name = repo_url.split("/")[-2:]
    api_url = f"https://api.github.com/repos/{repo_owner}/{repo_name}/contents/{path}"
    headers = {
        "Authorization": f"Bearer {GITHUB_TOKEN}",
        "Accept": "application/vnd.github.v3+json"
    }
    response = requests.get(api_url, headers=headers)

    if response.status_code == 200:
        contents = response.json()
        for item in contents:
            # Skip issues, commits, and pull requests
            if "/issues/" in item["url"] or "/commits/" in item["url"] or "/pulls/" in item["url"]:
                continue
            # Skip directories and files starting with a dot
            if item["name"].startswith("."):
                continue
            if item["type"] == "file":
                if item["name"].endswith(( ".py", ".js", ".java", ".c", ".cpp", ".h", ".hpp", ".rs", "cairo", ".zkey", ".sol", ".circom", ".ejs", ".ipynb" )):
                    file_url = item["download_url"]
                    file_response = requests.get(file_url)
                    file_content = file_response.text
                    data_entry = {
                        "repo": repo_url,
                        "file_path": item["path"],
                        "content": file_content
                    }
                    dataset.append(data_entry)
                    print("Appended ", item["path"])
            elif item["type"] == "dir":
                retrieve_files(repo_url, item["path"])
    else:
        print(f"Failed to retrieve contents for path: {path} in repository: {repo_url}")

# Load existing dataset if the file exists
if os.path.exists(output_file):
    with open(output_file, "r") as file:
        existing_dataset = json.load(file)
    dataset.extend(existing_dataset)

# Iterate over each repository URL
for repo_url in repo_urls:
    print("Scrapping ", repo_url)
    retrieve_files(repo_url)

# Write the dataset to the output file in JSON format
with open(output_file, "w") as file:
    json.dump(dataset, file, indent=4)

print(f"Dataset created successfully. Saved to {output_file}.")