implemented relation history events - #1448
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@coderabbitai I've completely re-structured the solution. Close all comments before last push and give me a full review |
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Inline comments:
In `@osidb/mixins.py`:
- Around line 776-783: Update set_acls_history around TrackerAudit bulk updates
so ACL changes are scoped to each Flaw relation rather than every audit row
sharing a tracker ID, preserving distinct visibility for mixed embargoed and
public flaws; alternatively enforce identical visibility for all flaws linked to
a tracker. Add a regression test covering a tracker linked to flaws with
different visibility and verifying public relation-history queries do not expose
the embargoed flaw’s audit history.
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@coderabbitai review please |
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I'm not blocking the PR but I think there's a better approach.
I have concerns about the performance of just dumping everything in the same API request, stitching and sorting multiple rows together, etc.
I would instead suggest that the client perform multiple queries and do the stitching client-side if necessary:
GET /audit?pgh_obj_model=osidb.Affect&flaw_id=<uuid>
or
GET /audit?pgh_obj_model=osidb.Affect&related_pgh_obj_id=<target_flaw_pgh_label>
Then the client would query:
GET /audit?pgh_obj_model=osidb.Flaw&pgh_obj_id=<flaw_uuid>
GET /audit?pgh_obj_model=osidb.Affect&related_pgh_obj_id=<flaw_uuid>
GET /audit?pgh_obj_model=osidb.Tracker&related_pgh_obj_id=<flaw_uuid>
In parallel, each with their own pagination, returning predictable payloads, etc.
We also should measure performance to avoid having a regression.
edit: Maybe we should reconsider using Events.objects.references() but with across()
| def _include_relation_events(self, params): | ||
| value = params.get("include_relation_events") | ||
| return isinstance(value, str) and value.lower() in {"1", "true", "yes"} |
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I think that like include_history, this should return True simply if the parameter is included (no value needed): e.g. GET /audit?pgh_obj_id=<uuid>&include_relation_events
| sql=""" | ||
| CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_affectaudit_flaw_history | ||
| ON osidb_affectaudit (flaw_id, pgh_created_at DESC, pgh_id DESC) | ||
| WHERE flaw_id IS NOT NULL | ||
| """, |
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are any of these really necessary? audit tables inherit indexes from the source tables so e.g. flaw_id has an index
This PR adds relation-aware audit history for flaw audit views.
When
/auditis queried withinclude_relation_events=true&pgh_obj_model=osidb.Flaw&pgh_obj_id=<flaw_uuid>, the response now includes related native audit rows for the flaw context:AffectAuditrows whose historicalflaw_idmatches the requested flaw, including deleted affects.TrackerAuditrows for trackers discovered through matching historicalAffectAudit.tracker_idvalues.This does not add a derived
RelationHistoryEventtable. Related entries are returned as normal concrete audit events with their existing slugs, for example:osidb.AffectAudit:<pgh_id>osidb.TrackerAudit:<pgh_id>The existing audit endpoint handles filtering, sorting, pagination, counts, and direct slug retrieval for these related audit rows.
ACL behavior was updated so audit history follows visibility changes. The ACL propagation is generic in
ACLMixin: it discovers related audited ACL models through Django relation metadata and updates direct and one-hop related audit histories. Secondary targets, such as trackers, are only released when they are not still connected to embargoed ACL-managed rows, preventing mixed-visibility tracker history leaks.The PR also adds database indexes for relation-aware audit lookups and regression tests for deleted affects, related audit slug retrieval, and mixed public/embargoed tracker visibility.
For OSIM, a follow-up task can add UI affordances around affect or tracker rows in the flaw detail page to surface this related history.
Closes OSIDB-4999.