MaD generator: add single file mode

misc/scripts/models-as-data/bulk_generate_mad.py

@@ -5,7 +5,7 @@ Experimental script for bulk generation of MaD models based on a list of project
 Note: This file must be formatted using the Black Python formatter.
 """
 
-import os.path
+import pathlib
 import subprocess
 import sys
 from typing import Required, TypedDict, List, Callable, Optional
@@ -41,7 +41,7 @@ gitroot = (
     .decode("utf-8")
     .strip()
 )
-build_dir = os.path.join(gitroot, "mad-generation-build")
+build_dir = pathlib.Path(gitroot, "mad-generation-build")
 
 
 # A project to generate models for
@@ -86,10 +86,10 @@ def clone_project(project: Project) -> str:
     git_tag = project.get("git-tag")
 
     # Determine target directory
-    target_dir = os.path.join(build_dir, name)
+    target_dir = build_dir / name
 
     # Clone only if directory doesn't already exist
-    if not os.path.exists(target_dir):
+    if not target_dir.exists():
         if git_tag:
             print(f"Cloning {name} from {repo_url} at tag {git_tag}")
         else:
@@ -191,10 +191,10 @@ def build_database(
     name = project["name"]
 
     # Create database directory path
-    database_dir = os.path.join(build_dir, f"{name}-db")
+    database_dir = build_dir / f"{name}-db"
 
     # Only build the database if it doesn't already exist
-    if not os.path.exists(database_dir):
+    if not database_dir.exists():
         print(f"Building CodeQL database for {name}...")
         extractor_options = [option for x in extractor_options for option in ("-O", x)]
         try:
@@ -241,7 +241,11 @@ def generate_models(config, args, project: Project, database_dir: str) -> None:
     generator.with_summaries = should_generate_summaries(project)
     generator.threads = args.codeql_threads
     generator.ram = args.codeql_ram
-    generator.setenvironment(database=database_dir, folder=name)
+    if config.get("single-file", False):
+        generator.single_file = name
+    else:
+        generator.folder = name
+    generator.setenvironment(database=database_dir)
     generator.run()
 
 
@@ -312,7 +316,7 @@ def download_artifact(url: str, artifact_name: str, pat: str) -> str:
     if response.status_code != 200:
         print(f"Failed to download file. Status code: {response.status_code}")
         sys.exit(1)
-    target_zip = os.path.join(build_dir, zipName)
+    target_zip = build_dir / zipName
     with open(target_zip, "wb") as file:
         for chunk in response.iter_content(chunk_size=8192):
             file.write(chunk)
@@ -320,12 +324,6 @@ def download_artifact(url: str, artifact_name: str, pat: str) -> str:
     return target_zip
 
 
-def remove_extension(filename: str) -> str:
-    while "." in filename:
-        filename, _ = os.path.splitext(filename)
-    return filename
-
-
 def pretty_name_from_artifact_name(artifact_name: str) -> str:
     return artifact_name.split("___")[1]
 
@@ -399,19 +397,17 @@ def download_dca_databases(
         # The database is in a zip file, which contains a tar.gz file with the DB
         # First we open the zip file
         with zipfile.ZipFile(artifact_zip_location, "r") as zip_ref:
-            artifact_unzipped_location = os.path.join(build_dir, artifact_name)
+            artifact_unzipped_location = build_dir / artifact_name
             # clean up any remnants of previous runs
             shutil.rmtree(artifact_unzipped_location, ignore_errors=True)
             # And then we extract it to build_dir/artifact_name
             zip_ref.extractall(artifact_unzipped_location)
             # And then we extract the language tar.gz file inside it
-            artifact_tar_location = os.path.join(
-                artifact_unzipped_location, f"{language}.tar.gz"
-            )
+            artifact_tar_location = artifact_unzipped_location / f"{language}.tar.gz"
             with tarfile.open(artifact_tar_location, "r:gz") as tar_ref:
                 # And we just untar it to the same directory as the zip file
                 tar_ref.extractall(artifact_unzipped_location)
-        ret = os.path.join(artifact_unzipped_location, language)
+        ret = artifact_unzipped_location / language
         print(f"Decompression complete: {ret}")
         return ret
 
@@ -431,8 +427,16 @@ def download_dca_databases(
     return [(project_map[n], r) for n, r in zip(analyzed_databases, results)]
 
 
-def get_mad_destination_for_project(config, name: str) -> str:
-    return os.path.join(config["destination"], name)
+def clean_up_mad_destination_for_project(config, name: str):
+    target = pathlib.Path(config["destination"], name)
+    if config.get("single-file", False):
+        target = target.with_suffix(".model.yml")
+        if target.exists():
+            print(f"Deleting existing MaD file at {target}")
+            target.unlink()
+    elif target.exists():
+        print(f"Deleting existing MaD directory at {target}")
+        shutil.rmtree(target, ignore_errors=True)
 
 
 def get_strategy(config) -> str:
@@ -454,8 +458,7 @@ def main(config, args) -> None:
     language = config["language"]
 
     # Create build directory if it doesn't exist
-    if not os.path.exists(build_dir):
-        os.makedirs(build_dir)
+    build_dir.mkdir(parents=True, exist_ok=True)
 
     database_results = []
     match get_strategy(config):
@@ -475,7 +478,7 @@ def main(config, args) -> None:
             if args.pat is None:
                 print("ERROR: --pat argument is required for DCA strategy")
                 sys.exit(1)
-            if not os.path.exists(args.pat):
+            if not args.pat.exists():
                 print(f"ERROR: Personal Access Token file '{pat}' does not exist.")
                 sys.exit(1)
             with open(args.pat, "r") as f:
@@ -499,12 +502,9 @@ def main(config, args) -> None:
         )
         sys.exit(1)
 
-    # Delete the MaD directory for each project
-    for project, database_dir in database_results:
-        mad_dir = get_mad_destination_for_project(config, project["name"])
-        if os.path.exists(mad_dir):
-            print(f"Deleting existing MaD directory at {mad_dir}")
-            subprocess.check_call(["rm", "-rf", mad_dir])
+    # clean up existing MaD data for the projects
+    for project, _ in database_results:
+        clean_up_mad_destination_for_project(config, project["name"])
 
     for project, database_dir in database_results:
         if database_dir is not None:
@@ -514,7 +514,10 @@ def main(config, args) -> None:
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
     parser.add_argument(
-        "--config", type=str, help="Path to the configuration file.", required=True
+        "--config",
+        type=pathlib.Path,
+        help="Path to the configuration file.",
+        required=True,
     )
     parser.add_argument(
         "--dca",
@@ -525,7 +528,7 @@ if __name__ == "__main__":
     )
     parser.add_argument(
         "--pat",
-        type=str,
+        type=pathlib.Path,
         help="Path to a file containing the PAT token required to grab DCA databases (the same as the one you use for DCA)",
     )
     parser.add_argument(
@@ -544,7 +547,7 @@ if __name__ == "__main__":
 
     # Load config file
     config = {}
-    if not os.path.exists(args.config):
+    if not args.config.exists():
         print(f"ERROR: Config file '{args.config}' does not exist.")
         sys.exit(1)
     try:

misc/scripts/models-as-data/generate_mad.py

@@ -53,12 +53,13 @@ class Generator:
     ram = None
     threads = 0
     folder = ""
+    single_file = None
 
     def __init__(self, language=None):
         self.language = language
 
     def setenvironment(self, database=None, folder=None):
-        self.codeQlRoot = (
+        self.codeql_root = (
             subprocess.check_output(["git", "rev-parse", "--show-toplevel"])
             .decode("utf-8")
             .strip()
@@ -66,7 +67,7 @@ class Generator:
         self.database = database or self.database
         self.folder = folder or self.folder
         self.generated_frameworks = os.path.join(
-            self.codeQlRoot, f"{self.language}/ql/lib/ext/generated/{self.folder}"
+            self.codeql_root, f"{self.language}/ql/lib/ext/generated/{self.folder}"
         )
         self.workDir = tempfile.mkdtemp()
         if self.ram is None:
@@ -134,6 +135,10 @@ class Generator:
             type=int,
             help="Amount of RAM to use for CodeQL queries in MB. Default is to use 2048 MB per thread.",
         )
+        p.add_argument(
+            "--single-file",
+            help="Generate a single file with all models instead of separate files for each namespace, using provided argument as the base filename.",
+        )
         generator = p.parse_args(namespace=Generator())
 
         if (
@@ -154,7 +159,7 @@ class Generator:
     def runQuery(self, query):
         print("########## Querying " + query + "...")
         queryFile = os.path.join(
-            self.codeQlRoot, f"{self.language}/ql/src/utils/{self.dirname}", query
+            self.codeql_root, f"{self.language}/ql/src/utils/{self.dirname}", query
         )
         resultBqrs = os.path.join(self.workDir, "out.bqrs")
 
@@ -187,6 +192,8 @@ class Generator:
     def getAddsTo(self, query, predicate):
         data = self.runQuery(query)
         rows = parseData(data)
+        if self.single_file and rows:
+            rows = {self.single_file: "".join(rows.values())}
         return self.asAddsTo(rows, predicate)
 
     def makeContent(self):

misc/scripts/models-as-data/helpers.py

@@ -22,7 +22,7 @@ def remove_dir(dirName):
 
 
 def run_cmd(cmd, msg="Failed to run command"):
-    print("Running " + " ".join(cmd))
+    print("Running " + " ".join(map(str, cmd)))
     if subprocess.check_call(cmd):
         print(msg)
         exit(1)