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WalkthroughGroup operations now coordinate database locks and reconcile users in batches. Node synchronization uses per-user locks, supports refreshed inbound tags, and can wait for dispatch completion. ChangesGroup user synchronization
Priority: ➖ Normal Estimated code review effort: 4 (Complex) | ~45 minutes Change: Other Sequence Diagram(s)sequenceDiagram
participant Admin
participant GroupOperation
participant GroupCRUD
participant UserCRUD
participant NodeSync
Admin->>GroupOperation: Submit group update
GroupOperation->>GroupCRUD: Update group and obtain user ID batches
GroupOperation->>UserCRUD: Load users for node synchronization
GroupOperation->>GroupCRUD: Recheck current membership
GroupOperation->>NodeSync: Dispatch eligible users
NodeSync-->>GroupOperation: Complete batch dispatch
Suggested reviewers: Merge Risk: ⚪ Minimal · up to No actionable issue remains from the checked changes; the PR is mergeable after normal checks. Pre-merge checks |
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| Check name | Status | Explanation | Resolution |
|---|---|---|---|
| Docstring Coverage |  |
Docstring coverage is 47.42% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 97 functions across 17 files. | Write docstrings for the functions missing them to satisfy the coverage threshold. |
✅ Passed checks (4 passed)
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Check name Status Explanation Description Check Check skipped - CodeRabbit’s high-level summary is enabled. Title check The title is concise, specific, and accurately describes the primary change: returning group updates before processing large user synchronization tasks. Linked Issues check Check skipped because no linked issues were found for this pull request. Out of Scope Changes check Check skipped because no linked issues were found for this pull request.
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A rabbit checks each group-row lock,
Then counts the members in the flock.
User batches hop in ordered line,
Fresh inbound tags arrive on time.
Dispatch waits; the locks release,
And busy bunnies sync in peace.
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Inline comments:
In `@app/operation/group.py`:
- Around line 118-123: Make group synchronization safe across multiple
application processes rather than relying only on the process-local
_group_user_sync_tasks cancellation map. Add distributed per-group coordination,
or persist and validate a generation for each update immediately before
allocation commits and node dispatch, so stale _sync_group_users_safely work
cannot commit or dispatch after a newer update.
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app/db/crud/group.pyapp/db/crud/user.pyapp/node/sync.pyapp/node/user.pyapp/operation/__init__.pyapp/operation/group.pytests/test_group_update_sync.py
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Inline comments:
In `@app/operation/group.py`:
- Around line 123-128: In the group operation flow, commit the transaction
immediately after sync_users_allocations updates users.proxy_settings and before
calling sync_users, so node dispatch only uses persisted allocation state. Keep
the existing sync_users arguments and subsequent behavior unchanged.
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app/db/crud/group.pyapp/db/crud/user.pyapp/node/sync.pyapp/node/user.pyapp/operation/__init__.pyapp/operation/group.pytests/test_group_update_sync.py
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Inline comments:
In `@app/db/crud/group.py`:
- Around line 82-85: Update remove_old_inbounds to lock all affected Group rows
before deleting ProxyInbound and inbounds_groups_association records,
coordinating with _sync_group_users while preserving existing cleanup behavior.
Add an interleaving test that verifies sync_users cannot dispatch access for an
inbound removed after final validation.
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Inline comments:
In `@app/db/crud/host.py`:
- Around line 106-115: Update remove_inbounds to acquire the relevant group-row
locks before reading group_ids, using the same lock protocol as group
association updates so concurrent synchronization cannot dispatch an inbound
during deletion. Preserve the existing deletion behavior and add a test covering
the interleaving between association updates and inbound deletion.
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why are you locking jwt table? |
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You're right to question this. The lock is unrelated to JWT authentication. I reused the guaranteed singleton JWT row as a migration-free database mutex to serialize group-inbound association discovery and writes across workers, since the affected group rows are not known until after reading the association table. The no-op update does not change the JWT secret. However, coupling group-policy coordination to the JWT table is not a clean design. I'll replace it with a dedicated coordination row/table in this PR. |
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@ImMohammad20000 Fixed in 5595acc. The JWT table is no longer involved. I added a dedicated coordination_locks table with a named group_policy row, seeded by an Alembic migration. Group-policy writers now acquire a transaction-scoped database lock on that explicit coordination row, while preserving the existing lock ordering and SQLite/PostgreSQL/MySQL behavior. This is more explicit and keeps authentication completely decoupled from synchronization. Migration upgrade/downgrade and schema checks pass; the non-API suite passes with 167 tests and 2 skips. |
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Inline comments:
In `@app/node/sync.py`:
- Line 181: Update sync_users and the node-update dispatch flow so overlapping
user updates cannot apply an older snapshot after a newer one; serialize
overlapping dispatches in order or enforce monotonic per-user access revisions.
Ensure the synchronization covers the asynchronous NodeManager.update_users
scheduling behavior, and add a regression test that pauses task A after
serialize_users_for_node, completes task B, then resumes task A and verifies the
node retains task B’s tags.
In `@app/operation/group.py`:
- Around line 141-145: Update the bulk membership flow around sync_users so
dispatch cannot use cached users or tags after a membership revocation commits.
Validate a membership-generation/version value immediately before dispatch, or
coordinate the users_groups_association commit with dispatch so stale work is
discarded, and add an interleaving test covering the membership change racing
with the background batch.
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app/db/crud/group.pyapp/db/crud/group_lock.pyapp/db/crud/host.pyapp/db/crud/user.pyapp/db/migrations/versions/9e2a1d0f7c3b_add_coordination_locks.pyapp/db/models.pyapp/node/sync.pyapp/node/user.pyapp/operation/__init__.pyapp/operation/group.py
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…-latency # Conflicts: # app/db/crud/bulk.py # app/db/models.py # tests/test_node_manager.py
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Inline comments:
In `@app/db/crud/group.py`:
- Line 100: Update _sync_group_users so the SQLite write transaction started by
lock_group_rows_for_sync is committed or rolled back before awaiting
sync_users(..., wait_for_dispatch=True). Preserve correctness during dispatch by
using existing per-group coordination or a generation check, and reacquire or
validate state afterward as needed without holding the database transaction.
In `@app/node/sync.py`:
- Around line 21-24: Update _acquire_user_sync_locks to release every lock it
has already acquired if awaiting a later lock is cancelled or otherwise
interrupted, then propagate the interruption. Preserve the existing sorted,
deduplicated acquisition order and successful return of all acquired locks.
In `@app/node/user.py`:
- Around line 171-172: Update _sync_group_users so get_users_accessible_tags is
recomputed after sync_users acquires the per-user _user_sync_locks and
immediately before inbound_tags serialization and dispatch. Ensure the post-lock
value replaces the earlier inbound_tags_by_user-derived data, while preserving
existing behavior when no accessible tags are available.
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app/db/crud/bulk.pyapp/db/crud/group.pyapp/db/crud/group_lock.pyapp/db/crud/host.pyapp/db/crud/user.pyapp/db/migrations/versions/9e2a1d0f7c3b_add_coordination_locks.pyapp/db/models.pyapp/node/__init__.pyapp/node/sync.pyapp/node/user.pyapp/operation/__init__.pyapp/operation/group.pytests/test_group_update_sync.pytests/test_node_manager.pytests/test_node_sync.py
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…-latency # Conflicts: # app/node/sync.py # tests/test_node_manager.py # tests/test_node_sync.py
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Problem
PUT /api/group/{group_id}keeps the dashboard in a loading state for minutes on large groups. A group with roughly 30,000 members currently performs all of the following before returning the response:Group.usersrelationship just to validate and serialize the group response.Userwith admin, next-plan, usage-log, and group relationships.This makes request latency, memory use, and query count scale with group membership. It is separate from, and complementary to, the group-list optimization in #772.
Changes
Group.usersand count memberships directly for the response.id,admin_id,status, andproxy_settingsfor background node synchronization.Behavior and trade-off
The group row is committed before the API returns. For inbound/status changes, propagation to users and nodes becomes eventually consistent and continues in the background. Name-only changes are immediate and require no propagation. Background failures are logged with the group ID.
The task registry keeps strong references to active work and bounds it to one task per group. A newer update cancels the older task; every batch reads current membership and inbound access before reconciling.
Tests
ruff checkfor the affected group, node, model, and migration modules — passedruff format --checkfor the changed files — passedalembic check— passedNotes
coordination_lockstable and seeds thegroup_policylock row.Summary by CodeRabbit
New Features
Bug Fixes