Files
codeql/misc/scripts/models-as-data/rust_bulk_generate_mad.py

272 lines
8.1 KiB
Python

"""
Experimental script for bulk generation of MaD models based on a list of projects.
Currently the script only targets Rust.
"""
import os.path
import subprocess
import sys
from typing import NotRequired, TypedDict, List
from concurrent.futures import ThreadPoolExecutor, as_completed
import time
import argparse
import json
import requests
import zipfile
import tarfile
from functools import cmp_to_key
import generate_mad as mad
gitroot = (
subprocess.check_output(["git", "rev-parse", "--show-toplevel"])
.decode("utf-8")
.strip()
)
build_dir = os.path.join(gitroot, "mad-generation-build")
def path_to_mad_directory(language: str, name: str) -> str:
return os.path.join(gitroot, f"{language}/ql/lib/ext/generated/{name}")
# A project to generate models for
class Project(TypedDict):
"""
Type definition for Rust projects to model.
Attributes:
name: The name of the project
git_repo: URL to the git repository
git_tag: Optional Git tag to check out
"""
name: str
git_repo: str
git_tag: NotRequired[str]
def clone_project(project: Project) -> str:
"""
Shallow clone a project into the build directory.
Args:
project: A dictionary containing project information with 'name', 'git_repo', and optional 'git_tag' keys.
Returns:
The path to the cloned project directory.
"""
name = project["name"]
repo_url = project["git_repo"]
git_tag = project.get("git_tag")
# Determine target directory
target_dir = os.path.join(build_dir, name)
# Clone only if directory doesn't already exist
if not os.path.exists(target_dir):
if git_tag:
print(f"Cloning {name} from {repo_url} at tag {git_tag}")
else:
print(f"Cloning {name} from {repo_url}")
subprocess.check_call(
[
"git",
"clone",
"--quiet",
"--depth",
"1", # Shallow clone
*(
["--branch", git_tag] if git_tag else []
), # Add branch if tag is provided
repo_url,
target_dir,
]
)
print(f"Completed cloning {name}")
else:
print(f"Skipping cloning {name} as it already exists at {target_dir}")
return target_dir
def clone_projects(projects: List[Project]) -> List[tuple[Project, str]]:
"""
Clone all projects in parallel.
Args:
projects: List of projects to clone
Returns:
List of (project, project_dir) pairs in the same order as the input projects
"""
start_time = time.time()
max_workers = min(8, len(projects)) # Use at most 8 threads
project_dirs_map = {} # Map to store results by project name
with ThreadPoolExecutor(max_workers=max_workers) as executor:
# Start cloning tasks and keep track of them
future_to_project = {
executor.submit(clone_project, project): project for project in projects
}
# Process results as they complete
for future in as_completed(future_to_project):
project = future_to_project[future]
try:
project_dir = future.result()
project_dirs_map[project["name"]] = (project, project_dir)
except Exception as e:
print(f"ERROR: Failed to clone {project['name']}: {e}")
if len(project_dirs_map) != len(projects):
failed_projects = [
project["name"]
for project in projects
if project["name"] not in project_dirs_map
]
print(
f"ERROR: Only {len(project_dirs_map)} out of {len(projects)} projects were cloned successfully. Failed projects: {', '.join(failed_projects)}"
)
sys.exit(1)
project_dirs = [project_dirs_map[project["name"]] for project in projects]
clone_time = time.time() - start_time
print(f"Cloning completed in {clone_time:.2f} seconds")
return project_dirs
def build_database(project: Project, project_dir: str) -> str | None:
"""
Build a CodeQL database for a project.
Args:
project: A dictionary containing project information with 'name' and 'git_repo' keys.
project_dir: The directory containing the project source code.
Returns:
The path to the created database directory.
"""
name = project["name"]
# Create database directory path
database_dir = os.path.join(build_dir, f"{name}-db")
# Only build the database if it doesn't already exist
if not os.path.exists(database_dir):
print(f"Building CodeQL database for {name}...")
try:
subprocess.check_call(
[
"codeql",
"database",
"create",
"--language=rust",
"--source-root=" + project_dir,
"--overwrite",
"-O",
"cargo_features='*'",
"--",
database_dir,
]
)
print(f"Successfully created database at {database_dir}")
except subprocess.CalledProcessError as e:
print(f"Failed to create database for {name}: {e}")
return None
else:
print(
f"Skipping database creation for {name} as it already exists at {database_dir}"
)
return database_dir
def generate_models(project: Project, database_dir: str) -> None:
"""
Generate models for a project.
Args:
project: A dictionary containing project information with 'name' and 'git_repo' keys.
project_dir: The directory containing the project source code.
"""
name = project["name"]
generator = mad.Generator("rust")
generator.generateSinks = True
generator.generateSources = True
generator.generateSummaries = True
generator.setenvironment(database=database_dir, folder=name)
generator.run()
def main() -> None:
"""
Process all projects in three distinct phases:
1. Clone projects (in parallel)
2. Build databases for projects
3. Generate models for successful database builds
"""
# Create build directory if it doesn't exist
if not os.path.exists(build_dir):
os.makedirs(build_dir)
# Check if any of the MaD directories contain working directory changes in git
for project in projects:
mad_dir = path_to_mad_directory("rust", project["name"])
if os.path.exists(mad_dir):
git_status_output = subprocess.check_output(
["git", "status", "-s", mad_dir], text=True
).strip()
if git_status_output:
print(
f"""ERROR: Working directory changes detected in {mad_dir}.
Before generating new models, the existing models are deleted.
To avoid loss of data, please commit your changes."""
)
sys.exit(1)
# Phase 1: Clone projects in parallel
print("=== Phase 1: Cloning projects ===")
project_dirs = clone_projects(projects)
# Phase 2: Build databases for all projects
print("\n=== Phase 2: Building databases ===")
database_results = [
(project, build_database(project, project_dir))
for project, project_dir in project_dirs
]
# Phase 3: Generate models for all projects
print("\n=== Phase 3: Generating models ===")
failed_builds = [
project["name"] for project, db_dir in database_results if db_dir is None
]
if failed_builds:
print(
f"ERROR: {len(failed_builds)} database builds failed: {', '.join(failed_builds)}"
)
sys.exit(1)
# Delete the MaD directory for each project
for project, database_dir in database_results:
mad_dir = path_to_mad_directory("rust", project["name"])
if os.path.exists(mad_dir):
print(f"Deleting existing MaD directory at {mad_dir}")
subprocess.check_call(["rm", "-rf", mad_dir])
for project, database_dir in database_results:
if database_dir is not None:
generate_models(project, database_dir)
if __name__ == "__main__":
main()