* fix: harden API token handling against rate-limit tampering and plaintext logging
- Make `allowed_rate_limit` read-only on APITokenSerializer so users can no
longer raise their own API token rate limit via PATCH (GHSA-xfgr-2x3f-g2cf).
- Stop persisting API keys in plaintext in APITokenLogMiddleware: store a
SHA-256 hash as the token identifier and redact sensitive request headers
(X-Api-Key, Authorization, Cookie) before logging (GHSA-r5p8-cj3q-38cc).
* refactor: remove MongoDB log sink and add per-log-type retention
Logs are now written to and cleared from PostgreSQL only; MongoDB is no
longer used as a log sink or archive.
- Drop the MongoDB write/archival paths from the API request logger, the
webhook log writer, and the cleanup tasks; Postgres is the sole sink.
- Cleanup tasks now hard-delete expired rows in batches via `all_objects`
(rows are removed immediately, not soft-deleted).
- Add env-backed, per-log-type retention settings: API activity logs
(API_ACTIVITY_LOG_RETENTION_DAYS, default 14), webhook logs
(WEBHOOK_LOG_RETENTION_DAYS, default 14), email logs
(EMAIL_LOG_RETENTION_DAYS, default 7). HARD_DELETE_AFTER_DAYS no longer
drives any log cleanup.
- Delete settings/mongo.py, remove MONGO_DB_* settings and the plane.mongo
loggers, and drop the pymongo dependency.
* chore: gitignore local advisories.md notes file
* fix: use keyed HMAC-SHA256 for API token log identifier
Address CodeQL "weak hashing of sensitive data" by hashing the API key with
a SECRET_KEY-keyed HMAC instead of a bare SHA-256. The identifier is a
non-reversible tokenization of a high-entropy key (not password storage);
keying it also prevents precomputing the digest from a known key value.
* chore: address review feedback on log cleanup and request logging
- process_logs accepts extra kwargs so jobs enqueued by an older release
(with a mongo_log arg) don't fail during a rolling deploy.
- Log-cleanup batch delete failures are logged and skipped rather than
aborting the run, so a single bad batch can't block the rest.
- Extend logger middleware test to assert Authorization and Cookie headers
are redacted; add a test that a failing cleanup batch is swallowed.
* fix: fall back to default when a log retention env value is invalid
Negative (or unparseable) retention values would compute a future cutoff and
delete every log row. The retention settings now fall back to their defaults
in that case via a shared `_retention_days` helper.
* feat: implement webhook logging to MongoDB and fallback to database (#7887)
- Added a new function `save_webhook_log` to log webhook requests and responses to MongoDB, with a fallback to the database if the MongoDB save fails.
- Updated the `webhook_send_task` to utilize the new logging function.
- Modified the `get_webhook_logs_queryset` to order logs by creation date and adjusted the chunk size for iteration.
* refactor: clean up log data formatting in save_webhook_log function
* fix: update retry_count type in save_webhook_log function
* Refactor and extend cleanup tasks for logs and versions
- Consolidate API log deletion into cleanup_task.py - Add tasks to
delete old email logs, page versions, and issue description versions -
Update Celery schedule and imports for new tasks
* chore: update cleanup task with mongo changes
* fix: update log deletion task name for clarity
* fix: enhance MongoDB archival error handling in cleanup task
- Added a parameter to check MongoDB availability in the flush_to_mongo_and_delete function.
- Implemented error logging for MongoDB archival failures.
- Updated calls to flush_to_mongo_and_delete to include the new parameter.
* fix: correct parameter name in cleanup task function call
- Updated the parameter name from 'mode' to 'model' in the process_cleanup_task function to ensure consistency and clarity in the code.
* fix: improve MongoDB connection parameter handling in MongoConnection class
- Replaced direct access to settings with getattr for MONGO_DB_URL and MONGO_DB_DATABASE to enhance robustness.
- Added warning logging for missing MongoDB connection parameters.