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D8938.diff
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diff --git a/swh/storage/algos/discovery.py b/swh/storage/algos/discovery.py
new file mode 100644
--- /dev/null
+++ b/swh/storage/algos/discovery.py
@@ -0,0 +1,90 @@
+# Copyright (C) 2022 The Software Heritage developers
+# See the AUTHORS file at the top-level directory of this distribution
+# License: GNU General Public License version 3, or any later version
+# See top-level LICENSE file for more information
+
+import logging
+import random
+
+from swh.model.discovery import (
+ SAMPLE_SIZE,
+ ArchiveDiscoveryInterface,
+ BaseDiscoveryGraph,
+ Sample,
+)
+from swh.model.from_disk import model
+
+logger = logging.getLogger(__name__)
+
+
+class RandomDirSamplingDiscoveryGraph(BaseDiscoveryGraph):
+ """Use a random sampling using only directories.
+
+ This allows us to find a statistically good spread of entries in the graph
+ with a smaller population than using all types of entries. When there are
+ no more directories, only contents or skipped contents are undecided if any
+ are left: we send them directly to the storage since they should be few and
+ their structure flat."""
+
+ async def get_sample(self) -> Sample:
+ if self._undecided_directories:
+ if len(self._undecided_directories) <= SAMPLE_SIZE:
+ return Sample(
+ contents=set(),
+ skipped_contents=set(),
+ directories=set(self._undecided_directories),
+ )
+ sample = random.sample(self._undecided_directories, SAMPLE_SIZE)
+ directories = {o for o in sample}
+ return Sample(
+ contents=set(), skipped_contents=set(), directories=directories
+ )
+
+ contents = set()
+ skipped_contents = set()
+
+ for sha1 in self.undecided:
+ obj = self._all_contents[sha1]
+ obj_type = obj.object_type
+ if obj_type == model.Content.object_type:
+ contents.add(sha1)
+ elif obj_type == model.SkippedContent.object_type:
+ skipped_contents.add(sha1)
+ else:
+ raise TypeError(f"Unexpected object type {obj_type}")
+
+ return Sample(
+ contents=contents, skipped_contents=skipped_contents, directories=set()
+ )
+
+
+async def filter_known_objects(archive: ArchiveDiscoveryInterface):
+ """Filter ``archive``'s ``contents``, ``skipped_contents`` and ``directories``
+ to only return those that are unknown to the SWH archive using a discovery
+ algorithm."""
+ contents = archive.contents
+ skipped_contents = archive.skipped_contents
+ directories = archive.directories
+
+ contents_count = len(contents)
+ skipped_contents_count = len(skipped_contents)
+ directories_count = len(directories)
+
+ graph = RandomDirSamplingDiscoveryGraph(contents, skipped_contents, directories)
+
+ while graph.undecided:
+ sample = await graph.get_sample()
+ await graph.do_query(archive, sample)
+
+ contents = [c for c in contents if c.sha1_git in graph.unknown]
+ skipped_contents = [c for c in skipped_contents if c.sha1_git in graph.unknown]
+ directories = [c for c in directories if c.id in graph.unknown]
+
+ logger.debug(
+ "Filtered out %d contents, %d skipped contents and %d directories",
+ contents_count - len(contents),
+ skipped_contents_count - len(skipped_contents),
+ directories_count - len(directories),
+ )
+
+ return (contents, skipped_contents, directories)
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D8938: Add discovery algorithms and RandomDirSamplingDiscoveryGraph
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