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Bulk generator: Add DCA support.
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8
cpp/misc/bulk_generation_targets.json
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8
cpp/misc/bulk_generation_targets.json
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@@ -0,0 +1,8 @@
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{
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"strategy": "dca",
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"targets": [
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{ "name": "openssl" },
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{ "name": "sqlite" }
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],
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"destination": "cpp/ql/lib/ext/generated"
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}
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@@ -1,7 +1,5 @@
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"""
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Experimental script for bulk generation of MaD models based on a list of projects.
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Currently the script only targets Rust.
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"""
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import os.path
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@@ -221,6 +219,114 @@ def build_databases_from_projects(language: str, extractor_options, projects: Li
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for project, project_dir in project_dirs
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]
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return database_results
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def github(url: str, pat: str, extra_headers: dict[str, str] = {}) -> dict:
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"""
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Download a JSON file from GitHub using a personal access token (PAT).
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Args:
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url: The URL to download the JSON file from.
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pat: Personal Access Token for GitHub API authentication.
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extra_headers: Additional headers to include in the request.
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Returns:
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The JSON response as a dictionary.
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"""
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headers = { "Authorization": f"token {pat}" } | extra_headers
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response = requests.get(url, headers=headers)
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if response.status_code != 200:
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print(f"Failed to download JSON: {response.status_code} {response.text}")
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sys.exit(1)
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else:
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return response.json()
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def download_artifact(url: str, artifact_name: str, pat: str) -> str:
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"""
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Download a GitHub Actions artifact from a given URL.
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Args:
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url: The URL to download the artifact from.
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artifact_name: The name of the artifact (used for naming the downloaded file).
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pat: Personal Access Token for GitHub API authentication.
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Returns:
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The path to the downloaded artifact file.
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"""
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headers = { "Authorization": f"token {pat}", "Accept": "application/vnd.github+json" }
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response = requests.get(url, stream=True, headers=headers)
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zipName = artifact_name + ".zip"
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if response.status_code == 200:
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target_zip = os.path.join(build_dir, zipName)
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with open(target_zip, "wb") as file:
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for chunk in response.iter_content(chunk_size=8192):
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file.write(chunk)
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print(f"Download complete: {target_zip}")
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return target_zip
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else:
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print(f"Failed to download file. Status code: {response.status_code}")
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sys.exit(1)
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def remove_extension(filename: str) -> str:
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while "." in filename:
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filename, _ = os.path.splitext(filename)
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return filename
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def pretty_name_from_artifact_name(artifact_name: str) -> str:
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return artifact_name.split("___")[1]
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def download_dca_databases(experiment_name: str, pat: str, projects) -> List[tuple[str, str | None]]:
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"""
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Download databases from a DCA experiment.
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Args:
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experiment_name: The name of the DCA experiment to download databases from.
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pat: Personal Access Token for GitHub API authentication.
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projects: List of projects to download databases for.
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Returns:
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List of (project_name, database_dir) pairs, where database_dir is None if the download failed.
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"""
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database_results = []
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print("\n=== Finding projects ===")
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response = github(f"https://raw.githubusercontent.com/github/codeql-dca-main/data/{experiment_name}/reports/downloads.json", pat)
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targets = response["targets"]
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for target, data in targets.items():
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downloads = data["downloads"]
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analyzed_database = downloads["analyzed_database"]
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artifact_name = analyzed_database["artifact_name"]
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pretty_name = pretty_name_from_artifact_name(artifact_name)
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if not pretty_name in [project["name"] for project in projects]:
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print(f"Skipping {pretty_name} as it is not in the list of projects")
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continue
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repository = analyzed_database["repository"]
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run_id = analyzed_database["run_id"]
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print(f"=== Finding artifact: {artifact_name} ===")
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response = github(f"https://api.github.com/repos/{repository}/actions/runs/{run_id}/artifacts", pat, { "Accept": "application/vnd.github+json" })
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artifacts = response["artifacts"]
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artifact_map = {artifact["name"]: artifact for artifact in artifacts}
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print(f"=== Downloading artifact: {artifact_name} ===")
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archive_download_url = artifact_map[artifact_name]["archive_download_url"]
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artifact_zip_location = download_artifact(archive_download_url, artifact_name, pat)
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print(f"=== Extracting artifact: {artifact_name} ===")
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# The database is in a zip file, which contains a tar.gz file with the DB
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# First we open the zip file
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with zipfile.ZipFile(artifact_zip_location, 'r') as zip_ref:
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artifact_unzipped_location = os.path.join(build_dir, artifact_name)
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# And then we extract it to build_dir/artifact_name
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zip_ref.extractall(artifact_unzipped_location)
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# And then we iterate over the contents of the extracted directory
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# and extract the tar.gz files inside it
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for entry in os.listdir(artifact_unzipped_location):
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artifact_tar_location = os.path.join(artifact_unzipped_location, entry)
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with tarfile.open(artifact_tar_location, "r:gz") as tar_ref:
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# And we just untar it to the same directory as the zip file
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tar_ref.extractall(artifact_unzipped_location)
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database_results.append((pretty_name, os.path.join(artifact_unzipped_location, remove_extension(entry))))
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print(f"\n=== Extracted {len(database_results)} databases ===")
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def compare(a, b):
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a_index = next(i for i, project in enumerate(projects) if project["name"] == a[0])
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b_index = next(i for i, project in enumerate(projects) if project["name"] == b[0])
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return a_index - b_index
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# Sort the database results based on the order in the projects file
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return sorted(database_results, key=cmp_to_key(compare))
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def get_destination_for_project(config, name: str) -> str:
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return os.path.join(config["destination"], name)
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@@ -266,6 +372,16 @@ To avoid loss of data, please commit your changes."""
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case "repo":
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extractor_options = config.get("extractor_options", [])
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database_results = build_databases_from_projects(language, extractor_options, projects)
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case "dca":
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experiment_name = args.dca
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if experiment_name is None:
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print("ERROR: --dca argument is required for DCA strategy")
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sys.exit(1)
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pat = args.pat
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if pat is None:
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print("ERROR: --pat argument is required for DCA strategy")
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sys.exit(1)
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database_results = download_dca_databases(experiment_name, pat, projects)
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# Phase 3: Generate models for all projects
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print("\n=== Phase 3: Generating models ===")
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@@ -293,6 +409,8 @@ To avoid loss of data, please commit your changes."""
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--config", type=str, help="Path to the configuration file.", required=True)
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parser.add_argument("--dca", type=str, help="Name of a DCA run that built all the projects", required=False)
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parser.add_argument("--pat", type=str, help="PAT token to grab DCA databases (the same as the one you use for DCA)", required=False)
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parser.add_argument("--lang", type=str, help="The language to generate models for", required=True)
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parser.add_argument("--with-sources", action="store_true", help="Generate sources", required=False)
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parser.add_argument("--with-sinks", action="store_true", help="Generate sinks", required=False)
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