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chore(deps): Bump the infrastructure-critical group across 1 directory with 6 updates - #115

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Bumps the infrastructure-critical group with 6 updates in the /backend directory:

Package From To
sqlalchemy 2.0.51 2.0.52
psycopg 3.3.4 3.3.5
alembic 1.19.0 1.20.0
scikit-learn 1.9.0 1.9.1
pyjwt 2.13.0 2.14.0
cryptography 50.0.0 50.0.1

Updates sqlalchemy from 2.0.51 to 2.0.52

Release notes

Sourced from sqlalchemy's releases.

2.0.52

Released: August 11, 2026

platform

  • [platform] [bug] Python 3.15 support has been added and tested, including minimal changes for full compatibility.

    References: #13477

orm

  • [orm] [bug] Fixed a result-column misalignment bug in ORM-enabled UPDATE statements where synchronize_session="fetch" is in use, either explicitly or because the statement uses constructs such as CTEs that implicitly select for it. Columns in rows returned by .returning() could be returned under incorrect keys (e.g. row[SomeClass.a] returning the value of a different column), a problem most likely to manifest under concurrent workloads. ORM DELETE statements were not affected.

    References: #13439

  • [orm] [bug] Fixed bug where a failed _orm.Session.bulk_insert_mappings(), _orm.Session.bulk_update_mappings() or _orm.Session.bulk_save_objects() call could leave the _orm.Session permanently in a "flushing" state, such as when the transaction could not be begun because a previous flush had left it needing a rollback. Unlike _orm.Session.flush(), the bulk methods set the internal flushing flag and began the transaction outside of the try/finally block that resets it, so that neither _orm.Session.rollback() nor _orm.Session.close() would clear it, and every subsequent flush would raise InvalidRequestError: Session is already flushing. Pull request courtesy Hamody We.

    References: #13485

  • [orm] [bug] Fixed issue where unpickling an ORM object that were loaded using loader options making use of wildcard tokens, such as _orm.load_only() or _orm.raiseload() with "*", would fail with KeyError or IndexError if the process doing the unpickling had not yet constructed a loader path making use of that same token. This would typically be observed when the object were unpickled in a separate process, such as with the spawn or forkserver multiprocessing start methods, the latter of which became the default on POSIX platforms as of Python 3.14. The internal collection of these tokens is now established up front, so that it is identical in every process.

... (truncated)

Commits

Updates psycopg from 3.3.4 to 3.3.5

Changelog

Sourced from psycopg's changelog.

.. currentmodule:: psycopg

.. index:: single: Release notes single: News

psycopg release notes

Future releases

Psycopg 3.3.6 (unreleased) ^^^^^^^^^^^^^^^^^^^^^^^^^^

  • Add support for Python 3.15 (:ticket:[#1245](https://github.com/psycopg/psycopg/issues/1245)).
  • Cancel a running query upon receiving !SystemExit (:ticket:[#1384](https://github.com/psycopg/psycopg/issues/1384)).
  • Report !None instead of 65535 as the Column.precision of an :sql:interval column declared with a fields restriction and no explicit precision, such as e.g. :sql:interval day to second (:ticket:[#1397](https://github.com/psycopg/psycopg/issues/1397)).
  • Fix dumping of nested subclasses of lists as arrays (:ticket:[#1398](https://github.com/psycopg/psycopg/issues/1398)).

Current release

Psycopg 3.3.5 ^^^^^^^^^^^^^

  • Discard prepared statements upon :sql:ALTER * or DISCARD * (:ticket:[#1307](https://github.com/psycopg/psycopg/issues/1307)).
  • Fix !ProgrammingError when dumping non-!None values with no !NoneType dumper registered in python implementation (:ticket:[#1325](https://github.com/psycopg/psycopg/issues/1325)).
  • Fix !wait_selector wait function to not raise !KeyError (:ticket:[#1327](https://github.com/psycopg/psycopg/issues/1327)).
  • Fix !DataError messages leaking the literal {...} placeholder instead of the offending value when loading a pre-year-1 :sql:timestamp or a malformed binary :sql:jsonb value (:ticket:[#1372](https://github.com/psycopg/psycopg/issues/1372)).
  • Raise !DataError instead of !ValueError when ~psycopg.rows.namedtuple_row receives duplicate column names (:ticket:[#1348](https://github.com/psycopg/psycopg/issues/1348)).
  • Raise !DataError on inconsistent copy data (:tickets:[#1359](https://github.com/psycopg/psycopg/issues/1359), [#1360](https://github.com/psycopg/psycopg/issues/1360)).
  • Handle client encodings aliases (:ticket:[#1363](https://github.com/psycopg/psycopg/issues/1363)).
  • Fix building C extension with Cython 3.3.

Psycopg 3.3.4 ^^^^^^^^^^^^^

  • Fix possible spurious connection timeout in systems with very long uptimes in C extension (:ticket:[#1280](https://github.com/psycopg/psycopg/issues/1280)).

... (truncated)

Commits
  • ea542c9 chore: bump psycopg package version to 3.3.5
  • 8d31e47 chore(deps): bump the actions group across 1 directory with 4 updates
  • 268f863 Merge pull request #1370 from Sanjays2402/fix/truncated-binary-copy-error
  • a412fa4 docs: put together different issues fixed around copy parsing
  • f757307 fix: clearer error messages according to truncated copy message part
  • b1f17c4 test: move existing COPY format parsing tests into a single module
  • 21eba57 test: drop useless parametrization of copy binary parsigh test
  • 6780e17 fix(copy): handle truncated binary row headers
  • 2f2fcfb Merge pull request #1364 from DylanYoung/fix_client_encoding_aliases
  • ccc351e refactor: don't store the encodings raw table as a dict
  • Additional commits viewable in compare view

Updates alembic from 1.19.0 to 1.20.0

Release notes

Sourced from alembic's releases.

1.20.0

Released: September 11, 2026

usecase

  • [usecase] [batch] Added a warning for the case where an unnamed CHECK constraint on a reflected table is omitted from a batch "recreate" operation. An unnamed CHECK constraint can't be reliably carried over in a batch recreate as it may refer to columns that are being dropped or changed. This omission was previously a silent operation. The presence of any ~sqlalchemy.schema.CheckConstraint in Operations.batch_alter_table.table_args is taken to indicate that the case has been accommodated, and no warning is emitted.

    References: #1846

  • [usecase] [autogenerate] Autogenerate now renders a warning comment above any rendered Operations.drop_constraint() directive for which the constraint name is None, as is the case when a constraint that has no name in the model is dropped, most typically within the downgrade() function of a migration that adds an unnamed constraint. A warning is also emitted on the console when the migration script is generated. The directive requires a non-None name in order to be able to emit a "DROP CONSTRAINT" command.

    References: #916

bug

  • [bug] [batch] Fixed bug in batch mode where adding a column with a type that generates its own CHECK constraint, such as ~sqlalchemy.types.Boolean or ~sqlalchemy.types.Enum with ~sqlalchemy.types.Boolean.create_constraint set to True, would emit the constraint twice when the table was recreated, once under the name generated by the naming convention in use and once under the name given to the type. The constraint is now emitted once, using the same name that would be used outside of batch mode.

    References: #1768

  • [bug] [batch] Fixed bug in batch mode where a CHECK constraint generated by a type such as ~sqlalchemy.types.Boolean or ~sqlalchemy.types.Enum would lose the name established for it by the naming convention in use when the table was recreated, as the constraint was regenerated against the temporary table used for the recreate operation. The naming convention is now resolved against the name of the table being replaced.

... (truncated)

Commits

Updates scikit-learn from 1.9.0 to 1.9.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.9.1

We're happy to announce the 1.9.1 release.

This release contains a few bug fixes and is the first version supporting Python 3.15.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.9.html#version-1-9-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Thanks to everyone who contributed to this release !

Commits
  • 866c0f5 generate changelog
  • 12f135f update upper bounds
  • 43ff2f2 bump version
  • b851524 DOC Mark dev index as orphan (#34916)
  • 01d56d4 DOC Fix wikipedia principal eigenvector example references (#34915)
  • b86a1e2 🔒 🤖 CI Update lock files for array-api CI build(s) 🔒 🤖 ...
  • d282698 🔒 🤖 CI Update lock files for main CI build(s) 🔒 🤖 (#34897)
  • eb34279 🔒 🤖 CI Update lock files for free-threaded CI build(s) 🔒 :rob...
  • 7581303 FIX: Fix QuantileTransformer(ignore_implicit_zeros=True) sub-sampling behav...
  • ac47f4d FIX: avoid EfficiencyWarning in OPTICS with metric='precomputed' (#34692)
  • Additional commits viewable in compare view

Updates pyjwt from 2.13.0 to 2.14.0

Release notes

Sourced from pyjwt's releases.

PyJWT 2.14.0

See the 2.14.0 changelog for the complete release details and related security advisories.

Changelog

Sourced from pyjwt's changelog.

v2.14.0 <https://github.com/jpadilla/pyjwt/compare/2.13.0...2.14.0>__

Security


- Harden HMAC key validation against public-key material supplied as JWK,
  JWKS, array, encoded, BOM-prefixed, DER, or PEM input. See
  `GHSA-r6x4-923q-g947 <https://github.com/jpadilla/pyjwt/security/advisories/GHSA-r6x4-923q-g947>`__,
  `GHSA-ffc3-869f-jxw9 <https://github.com/jpadilla/pyjwt/security/advisories/GHSA-ffc3-869f-jxw9>`__,
  `GHSA-p4g4-x82p-q773 <https://github.com/jpadilla/pyjwt/security/advisories/GHSA-p4g4-x82p-q773>`__,
  and `GHSA-w2cx-738m-mc7w <https://github.com/jpadilla/pyjwt/security/advisories/GHSA-w2cx-738m-mc7w>`__.
- Reject automatic redirects when ``PyJWKClient`` fetches a JWKS, preventing
  redirected destinations from being treated as trusted key sources. See
  `GHSA-9v7f-9g4p-ffgj <https://github.com/jpadilla/pyjwt/security/advisories/GHSA-9v7f-9g4p-ffgj>`__.
- Limit repeated JWKS refreshes caused by unknown key IDs while preserving
  normal key-rotation behavior. See
  `GHSA-2gx3-rcp4-g85q <https://github.com/jpadilla/pyjwt/security/advisories/GHSA-2gx3-rcp4-g85q>`__.
- Handle deeply nested and malformed JWS/JWK input without uncaught recursion
  errors or whole-set parsing failures. See
  `GHSA-8wjv-2p76-3863 <https://github.com/jpadilla/pyjwt/security/advisories/GHSA-8wjv-2p76-3863>`__
  and `GHSA-w6j9-cwv2-h6wq <https://github.com/jpadilla/pyjwt/security/advisories/GHSA-w6j9-cwv2-h6wq>`__.
- Enforce compact JWS encoding rules during decoding. See
  `GHSA-hxm8-2xgr-2p9m <https://github.com/jpadilla/pyjwt/security/advisories/GHSA-hxm8-2xgr-2p9m>`__.
- Reject detached-payload arguments for attached JWS inputs. Thanks to `@xclow3n
  <https://github.com/xclow3n>`__ for reporting this behavior; fixed in commit
  `37b54877 <https://github.com/jpadilla/pyjwt/commit/37b54877bf7bea67e8149130e96929e3ec798122>`__.

Fixed


- Apply HMAC key validation consistently when keys are loaded through
  ``PyJWK`` and ``PyJWKClient``. See
  `GHSA-pxh4-856f-4h89 &lt;https://github.com/jpadilla/pyjwt/security/advisories/GHSA-pxh4-856f-4h89&gt;`__.
- Reject empty HMAC keys when represented as JWKs.
  See `GHSA-pxh4-856f-4h89 &lt;https://github.com/jpadilla/pyjwt/security/advisories/GHSA-pxh4-856f-4h89&gt;`__.

Fixed

  • Raise the documented PyJWTError subclass instead of leaking a
    TypeError when the exp, nbf, or iat claim decodes to a
    non-numeric, non-string value such as a list, dict, or null.
Commits
  • c6fe464 release: prepare v2.14.0
  • f541302 style: apply Ruff formatting
  • 801cd12 fix: reject public JWK container HMAC keys
  • af8181c fix: reject empty HMAC keys from JWKs
  • ba4853a Throttle repeated PyJWKClient refreshes
  • 2798504 fix: reject DER public keys as HMAC secrets
  • 8b4e233 fix: reject loader-accepted PEM variants
  • 1f8180a fix: format JWS tests
  • cff1ac5 Fix redirect handler return annotation
  • 0a795b8 Reject redirects in PyJWKClient fetches
  • Additional commits viewable in compare view

Updates cryptography from 50.0.0 to 50.0.1

Changelog

Sourced from cryptography's changelog.

50.0.1 - 2026-08-25


* Updated Windows, macOS, and Linux wheels to be compiled with OpenSSL 4.0.2.

.. _v50-0-0:

Commits

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…y with 6 updates

Bumps the infrastructure-critical group with 6 updates in the /backend directory:

| Package | From | To |
| --- | --- | --- |
| [sqlalchemy](https://github.com/sqlalchemy/sqlalchemy) | `2.0.51` | `2.0.52` |
| [psycopg](https://github.com/psycopg/psycopg) | `3.3.4` | `3.3.5` |
| [alembic](https://github.com/sqlalchemy/alembic) | `1.19.0` | `1.20.0` |
| [scikit-learn](https://github.com/scikit-learn/scikit-learn) | `1.9.0` | `1.9.1` |
| [pyjwt](https://github.com/jpadilla/pyjwt) | `2.13.0` | `2.14.0` |
| [cryptography](https://github.com/pyca/cryptography) | `50.0.0` | `50.0.1` |



Updates `sqlalchemy` from 2.0.51 to 2.0.52
- [Release notes](https://github.com/sqlalchemy/sqlalchemy/releases)
- [Changelog](https://github.com/sqlalchemy/sqlalchemy/blob/main/CHANGES.rst)
- [Commits](https://github.com/sqlalchemy/sqlalchemy/commits)

Updates `psycopg` from 3.3.4 to 3.3.5
- [Changelog](https://github.com/psycopg/psycopg/blob/master/docs/news.rst)
- [Commits](psycopg/psycopg@3.3.4...3.3.5)

Updates `alembic` from 1.19.0 to 1.20.0
- [Release notes](https://github.com/sqlalchemy/alembic/releases)
- [Changelog](https://github.com/sqlalchemy/alembic/blob/main/CHANGES)
- [Commits](https://github.com/sqlalchemy/alembic/commits)

Updates `scikit-learn` from 1.9.0 to 1.9.1
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.9.0...1.9.1)

Updates `pyjwt` from 2.13.0 to 2.14.0
- [Release notes](https://github.com/jpadilla/pyjwt/releases)
- [Changelog](https://github.com/jpadilla/pyjwt/blob/master/CHANGELOG.rst)
- [Commits](jpadilla/pyjwt@2.13.0...2.14.0)

Updates `cryptography` from 50.0.0 to 50.0.1
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@50.0.0...50.0.1)

---
updated-dependencies:
- dependency-name: sqlalchemy
  dependency-version: 2.0.52
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: infrastructure-critical
- dependency-name: psycopg
  dependency-version: 3.3.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: infrastructure-critical
- dependency-name: alembic
  dependency-version: 1.20.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: infrastructure-critical
- dependency-name: scikit-learn
  dependency-version: 1.9.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: infrastructure-critical
- dependency-name: pyjwt
  dependency-version: 2.14.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: infrastructure-critical
- dependency-name: cryptography
  dependency-version: 50.0.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: infrastructure-critical
...

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