Add base pipeline for importers and migrate PyPa importer to aboutcode pipeline

vulnerabilities/import_runner.py

@@ -18,7 +18,6 @@
 
 from vulnerabilities.importer import AdvisoryData
 from vulnerabilities.importer import Importer
-from vulnerabilities.importers import IMPORTERS_REGISTRY
 from vulnerabilities.improver import Inference
 from vulnerabilities.improvers.default import DefaultImporter
 from vulnerabilities.models import Advisory

vulnerabilities/importers/__init__.py

@@ -30,7 +30,6 @@
 from vulnerabilities.importers import oss_fuzz
 from vulnerabilities.importers import postgresql
 from vulnerabilities.importers import project_kb_msr2019
-from vulnerabilities.importers import pypa
 from vulnerabilities.importers import pysec
 from vulnerabilities.importers import redhat
 from vulnerabilities.importers import retiredotnet
@@ -40,13 +39,13 @@
 from vulnerabilities.importers import ubuntu_usn
 from vulnerabilities.importers import vulnrichment
 from vulnerabilities.importers import xen
+from vulnerabilities.pipelines import pypa_importer
 
 IMPORTERS_REGISTRY = [
     nvd.NVDImporter,
     github.GitHubAPIImporter,
     gitlab.GitLabAPIImporter,
     npm.NpmImporter,
-    pypa.PyPaImporter,
     nginx.NginxImporter,
     pysec.PyPIImporter,
     alpine_linux.AlpineImporter,
@@ -75,6 +74,7 @@
     github_osv.GithubOSVImporter,
     epss.EPSSImporter,
     vulnrichment.VulnrichImporter,
+    pypa_importer.PyPaImporterPipeline,
 ]
 
 IMPORTERS_REGISTRY = {x.qualified_name: x for x in IMPORTERS_REGISTRY}

vulnerabilities/management/commands/import.py

@@ -13,6 +13,7 @@
 
 from vulnerabilities.import_runner import ImportRunner
 from vulnerabilities.importers import IMPORTERS_REGISTRY
+from vulnerabilities.pipelines import VulnerableCodeBaseImporterPipeline
 
 
 class Command(BaseCommand):
@@ -57,6 +58,13 @@ def import_data(self, importers):
 
         for importer in importers:
             self.stdout.write(f"Importing data using {importer.qualified_name}")
+            if issubclass(importer, VulnerableCodeBaseImporterPipeline):
+                status, error = importer().execute()
+                if status != 0:
+                    self.stdout.write(error)
+                    failed_importers.append(importer.qualified_name)
+                continue
+
             try:
                 ImportRunner(importer).run()
                 self.stdout.write(

vulnerabilities/pipelines/__init__.py

@@ -3,15 +3,24 @@
 # VulnerableCode is a trademark of nexB Inc.
 # SPDX-License-Identifier: Apache-2.0
 # See http://www.apache.org/licenses/LICENSE-2.0 for the license text.
-# See https://github.com/nexB/vulnerablecode for support or download.
+# See https://github.com/aboutcode-org/vulnerablecode for support or download.
 # See https://aboutcode.org for more information about nexB OSS projects.
 #
+
 import logging
 from datetime import datetime
 from datetime import timezone
+from traceback import format_exc as traceback_format_exc
+from typing import Iterable
 
 from aboutcode.pipeline import BasePipeline
+from aboutcode.pipeline import LoopProgress
 
+from vulnerabilities.importer import AdvisoryData
+from vulnerabilities.improver import MAX_CONFIDENCE
+from vulnerabilities.models import Advisory
+from vulnerabilities.pipes.advisory import import_advisory
+from vulnerabilities.pipes.advisory import insert_advisory
 from vulnerabilities.utils import classproperty
 
 module_logger = logging.getLogger(__name__)
@@ -32,3 +41,90 @@ def qualified_name(cls):
         Fully qualified name prefixed with the module name of the pipeline used in logging.
         """
         return f"{cls.__module__}.{cls.__qualname__}"
+
+
+class VulnerableCodeBaseImporterPipeline(VulnerableCodePipeline):
+    """
+    Base importer pipeline for importing advisories.
+
+    Uses:
+        Subclass this Pipeline and implement ``advisories_count`` and ``collect_advisories`` method.
+        Also override the ``steps`` and ``advisory_confidence`` as needed.
+    """
+
+    license_url = None
+    spdx_license_expression = None
+    repo_url = None
+    importer_name = None
+    advisory_confidence = MAX_CONFIDENCE
+
+    @classmethod
+    def steps(cls):
+        return (
+            # Add step for downloading/cloning resource as required.
+            cls.collect_and_store_advisories,
+            cls.import_new_advisories,
+            # Add step for removing downloaded/cloned resource as required.
+        )
+
+    def collect_advisories(self) -> Iterable[AdvisoryData]:
+        """
+        Yield AdvisoryData for importer pipeline.
+
+        Populate the `self.collected_advisories_count` field and yield AdvisoryData
+        """
+        raise NotImplementedError
+
+    def advisories_count(self) -> int:
+        """
+        Return the estimated AdvisoryData to be yielded by ``collect_advisories``.
+
+        Used by ``collect_and_store_advisories`` to log the progress of advisory collection.
+        """
+        raise NotImplementedError
+
+    def collect_and_store_advisories(self):
+        collected_advisory_count = 0
+        progress = LoopProgress(total_iterations=self.advisories_count(), logger=self.log)
+        for advisory in progress.iter(self.collect_advisories()):
+            if _obj := insert_advisory(
+                advisory=advisory,
+                pipeline_name=self.qualified_name,
+                logger=self.log,
+            ):
+                collected_advisory_count += 1
+
+        self.log(f"Successfully collected {collected_advisory_count:,d} advisories")
+
+    def import_new_advisories(self):
+        new_advisories = Advisory.objects.filter(
+            created_by=self.qualified_name,
+            date_imported__isnull=True,
+        )
+
+        new_advisories_count = new_advisories.count()
+
+        self.log(f"Importing {new_advisories_count:,d} new advisories")
+
+        imported_advisory_count = 0
+        progress = LoopProgress(total_iterations=new_advisories_count, logger=self.log)
+        for advisory in progress.iter(new_advisories.paginated()):
+            self.import_advisory(advisory=advisory)
+            if advisory.date_imported:
+                imported_advisory_count += 1
+
+        self.log(f"Successfully imported {imported_advisory_count:,d} new advisories")
+
+    def import_advisory(self, advisory: Advisory) -> int:
+        try:
+            import_advisory(
+                advisory=advisory,
+                pipeline_name=self.qualified_name,
+                confidence=self.advisory_confidence,
+                logger=self.log,
+            )
+        except Exception as e:
+            self.log(
+                f"Failed to import advisory: {advisory!r} with error {e!r}:\n{traceback_format_exc()}",
+                level=logging.ERROR,
+            )

vulnerabilities/pipelines/pypa_importer.py

@@ -0,0 +1,70 @@
+#
+# Copyright (c) nexB Inc. and others. All rights reserved.
+# VulnerableCode is a trademark of nexB Inc.
+# SPDX-License-Identifier: Apache-2.0
+# See http://www.apache.org/licenses/LICENSE-2.0 for the license text.
+# See https://github.com/nexB/vulnerablecode for support or download.
+# See https://aboutcode.org for more information about nexB OSS projects.
+#
+import logging
+from pathlib import Path
+from typing import Iterable
+
+import saneyaml
+from fetchcode.vcs import fetch_via_vcs
+
+from vulnerabilities.importer import AdvisoryData
+from vulnerabilities.importers.osv import parse_advisory_data
+from vulnerabilities.pipelines import VulnerableCodeBaseImporterPipeline
+from vulnerabilities.utils import get_advisory_url
+
+module_logger = logging.getLogger(__name__)
+
+
+class PyPaImporterPipeline(VulnerableCodeBaseImporterPipeline):
+    """Collect advisories from PyPA GitHub repository."""
+
+    spdx_license_expression = "CC-BY-4.0"
+    license_url = "https://github.com/pypa/advisory-database/blob/main/LICENSE"
+    repo_url = "git+https://github.com/pypa/advisory-database"
+    importer_name = "Pypa Importer"
+
+    @classmethod
+    def steps(cls):
+        return (
+            cls.clone,
+            cls.collect_and_store_advisories,
+            cls.import_new_advisories,
+            cls.clean_downloads,
+        )
+
+    def clone(self):
+        self.log(f"Cloning `{self.repo_url}`")
+        self.vcs_response = fetch_via_vcs(self.repo_url)
+
+    def advisories_count(self):
+        vulns_directory = Path(self.vcs_response.dest_dir) / "vulns"
+        return sum(1 for _ in vulns_directory.rglob("*.yaml"))
+
+    def collect_advisories(self) -> Iterable[AdvisoryData]:
+        base_directory = Path(self.vcs_response.dest_dir)
+        vulns_directory = base_directory / "vulns"
+        self.advisories_count = sum(1 for _ in vulns_directory.rglob("*.yaml"))
+
+        for advisory in vulns_directory.rglob("*.yaml"):
+            advisory_url = get_advisory_url(
+                file=advisory,
+                base_path=base_directory,
+                url="https://github.com/pypa/advisory-database/blob/main/",
+            )
+            advisory_dict = saneyaml.load(advisory.read_text())
+            yield parse_advisory_data(
+                raw_data=advisory_dict,
+                supported_ecosystems=["pypi"],
+                advisory_url=advisory_url,
+            )
+
+    def clean_downloads(self):
+        if self.vcs_response:
+            self.log(f"Removing cloned repository")
+            self.vcs_response.delete()