Upload preprocess.py

preprocess.py

@@ -0,0 +1,84 @@
+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}.")