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Refactor: Extract JWT validation logic to infrastructure layer - #827

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refactor/jwt-infrastructure-encapsulation-4476076807082277045

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@YKDBontekoe

@YKDBontekoe YKDBontekoe commented Jun 28, 2026 •

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Extracted SupabaseJWTVerifier implementation out of the AuthService to cleanly encapsulate infrastructure concerns and resolve architectural layering violations.


PR created automatically by Jules for task 4476076807082277045 started by @YKDBontekoe

Summary by CodeRabbit

  • New Features

    • Added a unified JWT verification flow for sign-in and WebSocket access, improving token handling across the app.
    • Expanded support for multiple token validation methods, including Supabase-backed verification.
  • Bug Fixes

    • Kept authentication failures returning clear unauthorized responses when tokens are invalid or expired.
    • Improved WebSocket authentication reliability by using the same verification path as standard API requests.
  • Tests

    • Updated authentication tests to cover valid, expired, and malformed token behavior with the new verification flow.

Moves the Supabase JWT validation logic out of the domain-layer `AuthService`
into a dedicated `SupabaseJWTVerifier` inside the `infrastructure/external`
module. This adheres to Clean Architecture principles by isolating the
external `PyJWKClient` and network IO dependencies from the application's
business logic.

- Implements `JWTVerifierProtocol` in the domain layer.
- Refactors FastAPI dependencies to expose `get_jwt_verifier()`.
- Updates authentication utilities and `websocket.py` to use the injected interface.
- Adapts unit tests to test the new external verifier class directly.

Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
@google-labs-jules

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Review profile: ASSERTIVE

Plan: Pro

Run ID: 872257c3-0c81-4617-b378-9c356952ce08

📥 Commits

Reviewing files that changed from the base of the PR and between c6bc0b9 and 3400168.

📒 Files selected for processing (6)
  • backend/app/api/dependencies.py
  • backend/app/api/v1/websocket.py
  • backend/app/domain/auth/interfaces.py
  • backend/app/infrastructure/external/jwt_verifier.py
  • backend/tests/test_auth.py
  • backend/tests/test_websocket_chat.py
📝 Walkthrough

Walkthrough

JWT verification logic is extracted from AuthService.decode_jwt into a new SupabaseJWTVerifier class implementing JWTVerifierProtocol. A singleton instance is wired as a FastAPI dependency (get_jwt_verifier), and all consumers—get_current_user and the WebSocket _verify_token—are updated to use it. Tests are updated accordingly.

Changes

JWT Verifier Extraction

Layer / File(s) Summary
JWTVerifierProtocol and SupabaseJWTVerifier
backend/app/domain/auth/interfaces.py, backend/app/infrastructure/external/jwt_verifier.py
Adds the JWTVerifierProtocol async interface and the SupabaseJWTVerifier implementation with lazy JWKS client and HS256/JWKS algorithm branching in verify_token.
Singleton dependency provider
backend/app/api/dependencies.py
Creates a module-level SupabaseJWTVerifier singleton and exposes get_jwt_verifier() as a FastAPI dependency returning JWTVerifierProtocol.
Update call sites
backend/app/core/security/auth.py, backend/app/api/v1/websocket.py
Replaces auth_service.decode_jwt(...) with jwt_verifier.verify_token(...) in get_current_user and _verify_token, removing AuthService/AuthRepository from both.
Remove decode_jwt from AuthService
backend/app/domain/auth/service.py
Strips JWT decoding, JWKS client state, and related imports; retains only passkey methods.
Auth tests
backend/tests/test_auth.py
Switches all three JWT unit tests to instantiate SupabaseJWTVerifier and call verify_token directly.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 72.73% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title clearly summarizes the main refactor: moving JWT validation into the infrastructure layer.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
✨ Finishing Touches
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  • Create PR with unit tests
  • Commit unit tests in branch refactor/jwt-infrastructure-encapsulation-4476076807082277045

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async def verify_token(self, token: str) -> JWTPayload:
"""Decode and verify a JWT."""
...
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codecov Bot commented Jun 28, 2026 •

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Codecov Report

❌ Patch coverage is 94.44444% with 3 lines in your changes missing coverage. Please review.

Files with missing lines Patch % Lines
...ackend/app/infrastructure/external/jwt_verifier.py 91.66% 3 Missing ⚠️

📢 Thoughts on this report? Let us know!

Moves the Supabase JWT validation logic out of the domain-layer `AuthService`
into a dedicated `SupabaseJWTVerifier` inside the `infrastructure/external`
module. This adheres to Clean Architecture principles by isolating the
external `PyJWKClient` and network IO dependencies from the application's
business logic.

- Implements `JWTVerifierProtocol` in the domain layer.
- Refactors FastAPI dependencies to expose `get_jwt_verifier()`.
- Updates authentication utilities and `websocket.py` to use the injected interface.
- Adapts unit tests to test the new external verifier class directly.

Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>

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Actionable comments posted: 7

🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@backend/app/api/dependencies.py`:
- Around line 74-76: The public dependency provider get_jwt_verifier() is
missing a Google-style Returns section in its docstring. Update the docstring
for get_jwt_verifier to explicitly document that it returns the singleton
JWTVerifierProtocol instance, keeping the docstring in Google format used by
other public functions and classes.

In `@backend/app/api/v1/websocket.py`:
- Around line 53-54: The `_verify_token` flow in `websocket_chat_hub` is still
calling `get_jwt_verifier()` directly, which bypasses FastAPI dependency
overrides and breaks the DI migration. Inject the JWT verifier into
`websocket_chat_hub` using FastAPI `Depends`, then pass that verifier into
`_verify_token` instead of fetching it inside the helper. Keep the token
verification logic in `_verify_token` the same, but make it use the injected
verifier instance.

In `@backend/app/domain/auth/interfaces.py`:
- Around line 12-17: The public protocol API in JWTVerifierProtocol and its
verify_token method needs Google-style docstrings instead of the current simple
docstring. Update the class and method documentation to include clear Args and
Returns sections so the contract for the token parameter and JWTPayload result
is explicit for implementers.

In `@backend/app/infrastructure/external/jwt_verifier.py`:
- Around line 15-27: Add Google-style docstrings to the public verifier API by
documenting the SupabaseJWTVerifier class and its verify_token() method; update
the class-level docstring to describe its purpose, and add a method docstring
for verify_token() that includes Args for token and Returns for JWTPayload,
matching the project’s Python docstring standard. Also ensure any other public
methods in SupabaseJWTVerifier follow the same Google-style format if needed.
- Around line 45-46: The synchronous JWKS lookup in JwtVerifier.verify_token
blocks the event loop because PyJWKClient.get_signing_key_from_jwt() may refresh
JWKS on cache miss or rotation. Move the key resolution in
JwtVerifier._get_jwks_client/verify_token off the loop by running the
get_signing_key_from_jwt call with asyncio.to_thread(...) or by replacing it
with an async JWKS fetch/cache implementation, while keeping the rest of the
token verification flow unchanged.
- Around line 30-56: Narrow the broad exception handling in JWTVerifier’s token
verification flow so expected JWT/JWKS errors are handled separately from
unexpected failures. In jwt_verifier.py, update the try/except around
get_unverified_header, jwt.decode, and JWKS lookup to catch jwt.PyJWTError for
validation-related issues, and use logger.exception in the unexpected error path
to preserve tracebacks. Keep JWTPayload construction and the existing
verification logic intact, but avoid a blanket except Exception that downgrades
all failures to warnings.

In `@backend/tests/test_auth.py`:
- Around line 24-28: Add a test that exercises the JWKS verification path in
SupabaseJWTVerifier.verify_token by using a non-HS256 token so execution reaches
the PyJWKClient branch and resolves a signing key. In
backend/tests/test_auth.py, mock PyJWKClient and the signing-key lookup with
unittest.mock.patch, then assert the verified payload is returned (and add an
error/edge-case assertion if key resolution fails). Keep the existing
HS256/malformed-token tests, but ensure this new case covers the else branch in
jwt_verifier.py.
🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

  • Push a commit to this branch (recommended)
  • Create a new PR with the fixes

ℹ️ Review info
⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: ASSERTIVE

Plan: Pro

Run ID: 28e7134a-2ffa-4d43-b240-a85f16c64619

📥 Commits

Reviewing files that changed from the base of the PR and between f0197f0 and c6bc0b9.

📒 Files selected for processing (7)
  • backend/app/api/dependencies.py
  • backend/app/api/v1/websocket.py
  • backend/app/core/security/auth.py
  • backend/app/domain/auth/interfaces.py
  • backend/app/domain/auth/service.py
  • backend/app/infrastructure/external/jwt_verifier.py
  • backend/tests/test_auth.py
💤 Files with no reviewable changes (1)
  • backend/app/domain/auth/service.py

Comment thread backend/app/api/dependencies.py
Comment thread backend/app/api/v1/websocket.py Outdated
Comment thread backend/app/domain/auth/interfaces.py
Comment thread backend/app/infrastructure/external/jwt_verifier.py Outdated
Comment thread backend/app/infrastructure/external/jwt_verifier.py
Comment thread backend/app/infrastructure/external/jwt_verifier.py Outdated
Comment thread backend/tests/test_auth.py
@YKDBontekoe

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Owner Author

Jules-CodeRabbit Bridge (Attempt 1/3)

@jules

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In @backend/app/api/dependencies.py:

  • Around line 74-76: The public dependency provider get_jwt_verifier() is
    missing a Google-style Returns section in its docstring. Update the docstring
    for get_jwt_verifier to explicitly document that it returns the singleton
    JWTVerifierProtocol instance, keeping the docstring in Google format used by
    other public functions and classes.

In @backend/app/api/v1/websocket.py:

  • Around line 53-54: The _verify_token flow in websocket_chat_hub is still
    calling get_jwt_verifier() directly, which bypasses FastAPI dependency
    overrides and breaks the DI migration. Inject the JWT verifier into
    websocket_chat_hub using FastAPI Depends, then pass that verifier into
    _verify_token instead of fetching it inside the helper. Keep the token
    verification logic in _verify_token the same, but make it use the injected
    verifier instance.

In @backend/app/domain/auth/interfaces.py:

  • Around line 12-17: The public protocol API in JWTVerifierProtocol and its
    verify_token method needs Google-style docstrings instead of the current simple
    docstring. Update the class and method documentation to include clear Args and
    Returns sections so the contract for the token parameter and JWTPayload result
    is explicit for implementers.

In @backend/app/infrastructure/external/jwt_verifier.py:

  • Around line 15-27: Add Google-style docstrings to the public verifier API by
    documenting the SupabaseJWTVerifier class and its verify_token() method; update
    the class-level docstring to describe its purpose, and add a method docstring
    for verify_token() that includes Args for token and Returns for JWTPayload,
    matching the project’s Python docstring standard. Also ensure any other public
    methods in SupabaseJWTVerifier follow the same Google-style format if needed.
  • Around line 45-46: The synchronous JWKS lookup in JwtVerifier.verify_token
    blocks the event loop because PyJWKClient.get_signing_key_from_jwt() may refresh
    JWKS on cache miss or rotation. Move the key resolution in
    JwtVerifier._get_jwks_client/verify_token off the loop by running the
    get_signing_key_from_jwt call with asyncio.to_thread(...) or by replacing it
    with an async JWKS fetch/cache implementation, while keeping the rest of the
    token verification flow unchanged.
  • Around line 30-56: Narrow the broad exception handling in JWTVerifier’s token
    verification flow so expected JWT/JWKS errors are handled separately from
    unexpected failures. In jwt_verifier.py, update the try/except around
    get_unverified_header, jwt.decode, and JWKS lookup to catch jwt.PyJWTError for
    validation-related issues, and use logger.exception in the unexpected error path
    to preserve tracebacks. Keep JWTPayload construction and the existing
    verification logic intact, but avoid a blanket except Exception that downgrades
    all failures to warnings.

In @backend/tests/test_auth.py:

  • Around line 24-28: Add a test that exercises the JWKS verification path in
    SupabaseJWTVerifier.verify_token by using a non-HS256 token so execution reaches
    the PyJWKClient branch and resolves a signing key. In
    backend/tests/test_auth.py, mock PyJWKClient and the signing-key lookup with
    unittest.mock.patch, then assert the verified payload is returned (and add an
    error/edge-case assertion if key resolution fails). Keep the existing
    HS256/malformed-token tests, but ensure this new case covers the else branch in
    jwt_verifier.py.

Project context (follow these exactly):

  • Backend: FastAPI/Python — backend/app/domain/<domain>/ for business logic, backend/app/api/v1/ for routes.
  • Frontend: React Native/TypeScript — frontend/src/ directory, Expo Router, and Zustand.
  • Python style: 100-char lines, double quotes, from __future__ import annotations, str | None not Optional[str].
  • TypeScript style: 100-char lines, single quotes, functional components with hooks.
  • Lint: make lint-backend (ruff + black + mypy) or make lint-frontend (eslint + type-check).
  • Tests: make test-backend or make test-frontend. Mock all external services — never call real APIs.
  • Do not modify files unrelated to the CodeRabbit findings.

@YKDBontekoe

Copy link
Copy Markdown
Owner Author

Jules-CodeRabbit Bridge (Attempt 2/3)

@jules

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In @backend/app/api/dependencies.py:

  • Around line 74-76: The public dependency provider get_jwt_verifier() is
    missing a Google-style Returns section in its docstring. Update the docstring
    for get_jwt_verifier to explicitly document that it returns the singleton
    JWTVerifierProtocol instance, keeping the docstring in Google format used by
    other public functions and classes.

In @backend/app/api/v1/websocket.py:

  • Around line 53-54: The _verify_token flow in websocket_chat_hub is still
    calling get_jwt_verifier() directly, which bypasses FastAPI dependency
    overrides and breaks the DI migration. Inject the JWT verifier into
    websocket_chat_hub using FastAPI Depends, then pass that verifier into
    _verify_token instead of fetching it inside the helper. Keep the token
    verification logic in _verify_token the same, but make it use the injected
    verifier instance.

In @backend/app/domain/auth/interfaces.py:

  • Around line 12-17: The public protocol API in JWTVerifierProtocol and its
    verify_token method needs Google-style docstrings instead of the current simple
    docstring. Update the class and method documentation to include clear Args and
    Returns sections so the contract for the token parameter and JWTPayload result
    is explicit for implementers.

In @backend/app/infrastructure/external/jwt_verifier.py:

  • Around line 15-27: Add Google-style docstrings to the public verifier API by
    documenting the SupabaseJWTVerifier class and its verify_token() method; update
    the class-level docstring to describe its purpose, and add a method docstring
    for verify_token() that includes Args for token and Returns for JWTPayload,
    matching the project’s Python docstring standard. Also ensure any other public
    methods in SupabaseJWTVerifier follow the same Google-style format if needed.
  • Around line 45-46: The synchronous JWKS lookup in JwtVerifier.verify_token
    blocks the event loop because PyJWKClient.get_signing_key_from_jwt() may refresh
    JWKS on cache miss or rotation. Move the key resolution in
    JwtVerifier._get_jwks_client/verify_token off the loop by running the
    get_signing_key_from_jwt call with asyncio.to_thread(...) or by replacing it
    with an async JWKS fetch/cache implementation, while keeping the rest of the
    token verification flow unchanged.
  • Around line 30-56: Narrow the broad exception handling in JWTVerifier’s token
    verification flow so expected JWT/JWKS errors are handled separately from
    unexpected failures. In jwt_verifier.py, update the try/except around
    get_unverified_header, jwt.decode, and JWKS lookup to catch jwt.PyJWTError for
    validation-related issues, and use logger.exception in the unexpected error path
    to preserve tracebacks. Keep JWTPayload construction and the existing
    verification logic intact, but avoid a blanket except Exception that downgrades
    all failures to warnings.

In @backend/tests/test_auth.py:

  • Around line 24-28: Add a test that exercises the JWKS verification path in
    SupabaseJWTVerifier.verify_token by using a non-HS256 token so execution reaches
    the PyJWKClient branch and resolves a signing key. In
    backend/tests/test_auth.py, mock PyJWKClient and the signing-key lookup with
    unittest.mock.patch, then assert the verified payload is returned (and add an
    error/edge-case assertion if key resolution fails). Keep the existing
    HS256/malformed-token tests, but ensure this new case covers the else branch in
    jwt_verifier.py.

Project context (follow these exactly):

  • Backend: FastAPI/Python — backend/app/domain/<domain>/ for business logic, backend/app/api/v1/ for routes.
  • Frontend: React Native/TypeScript — frontend/src/ directory, Expo Router, and Zustand.
  • Python style: 100-char lines, double quotes, from __future__ import annotations, str | None not Optional[str].
  • TypeScript style: 100-char lines, single quotes, functional components with hooks.
  • Lint: make lint-backend (ruff + black + mypy) or make lint-frontend (eslint + type-check).
  • Tests: make test-backend or make test-frontend. Mock all external services — never call real APIs.
  • Do not modify files unrelated to the CodeRabbit findings.

@google-labs-jules

Copy link
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Contributor

Jules-CodeRabbit Bridge (Attempt 1/3)

@jules

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In @backend/app/api/dependencies.py:

  • Around line 74-76: The public dependency provider get_jwt_verifier() is
    missing a Google-style Returns section in its docstring. Update the docstring
    for get_jwt_verifier to explicitly document that it returns the singleton
    JWTVerifierProtocol instance, keeping the docstring in Google format used by
    other public functions and classes.

In @backend/app/api/v1/websocket.py:

  • Around line 53-54: The _verify_token flow in websocket_chat_hub is still
    calling get_jwt_verifier() directly, which bypasses FastAPI dependency
    overrides and breaks the DI migration. Inject the JWT verifier into
    websocket_chat_hub using FastAPI Depends, then pass that verifier into
    _verify_token instead of fetching it inside the helper. Keep the token
    verification logic in _verify_token the same, but make it use the injected
    verifier instance.

In @backend/app/domain/auth/interfaces.py:

  • Around line 12-17: The public protocol API in JWTVerifierProtocol and its
    verify_token method needs Google-style docstrings instead of the current simple
    docstring. Update the class and method documentation to include clear Args and
    Returns sections so the contract for the token parameter and JWTPayload result
    is explicit for implementers.

In @backend/app/infrastructure/external/jwt_verifier.py:

  • Around line 15-27: Add Google-style docstrings to the public verifier API by
    documenting the SupabaseJWTVerifier class and its verify_token() method; update
    the class-level docstring to describe its purpose, and add a method docstring
    for verify_token() that includes Args for token and Returns for JWTPayload,
    matching the project’s Python docstring standard. Also ensure any other public
    methods in SupabaseJWTVerifier follow the same Google-style format if needed.
  • Around line 45-46: The synchronous JWKS lookup in JwtVerifier.verify_token
    blocks the event loop because PyJWKClient.get_signing_key_from_jwt() may refresh
    JWKS on cache miss or rotation. Move the key resolution in
    JwtVerifier._get_jwks_client/verify_token off the loop by running the
    get_signing_key_from_jwt call with asyncio.to_thread(...) or by replacing it
    with an async JWKS fetch/cache implementation, while keeping the rest of the
    token verification flow unchanged.
  • Around line 30-56: Narrow the broad exception handling in JWTVerifier’s token
    verification flow so expected JWT/JWKS errors are handled separately from
    unexpected failures. In jwt_verifier.py, update the try/except around
    get_unverified_header, jwt.decode, and JWKS lookup to catch jwt.PyJWTError for
    validation-related issues, and use logger.exception in the unexpected error path
    to preserve tracebacks. Keep JWTPayload construction and the existing
    verification logic intact, but avoid a blanket except Exception that downgrades
    all failures to warnings.

In @backend/tests/test_auth.py:

  • Around line 24-28: Add a test that exercises the JWKS verification path in
    SupabaseJWTVerifier.verify_token by using a non-HS256 token so execution reaches
    the PyJWKClient branch and resolves a signing key. In
    backend/tests/test_auth.py, mock PyJWKClient and the signing-key lookup with
    unittest.mock.patch, then assert the verified payload is returned (and add an
    error/edge-case assertion if key resolution fails). Keep the existing
    HS256/malformed-token tests, but ensure this new case covers the else branch in
    jwt_verifier.py.

Project context (follow these exactly):

  • Backend: FastAPI/Python — backend/app/domain/<domain>/ for business logic, backend/app/api/v1/ for routes.
  • Frontend: React Native/TypeScript — frontend/src/ directory, Expo Router, and Zustand.
  • Python style: 100-char lines, double quotes, from __future__ import annotations, str | None not Optional[str].
  • TypeScript style: 100-char lines, single quotes, functional components with hooks.
  • Lint: make lint-backend (ruff + black + mypy) or make lint-frontend (eslint + type-check).
  • Tests: make test-backend or make test-frontend. Mock all external services — never call real APIs.
  • Do not modify files unrelated to the CodeRabbit findings.

I have implemented the requested changes:

  • Added the missing Google-style Returns docstring for get_jwt_verifier.
  • Injected JWTVerifierProtocol via FastAPI Depends into websocket_chat_hub and passed it down to _verify_token.
  • Added full Google-style Args and Returns docstrings to JWTVerifierProtocol.verify_token and SupabaseJWTVerifier.verify_token.
  • Restructured SupabaseJWTVerifier to use asyncio.to_thread for the blocking JWKS fetch.
  • Constrained exception handling to catch jwt.PyJWTError instead of generic Exception for validation logic.
  • Added a new mock test in test_auth.py for validating the JWKS retrieval path without external network calls.

@google-labs-jules

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Jules-CodeRabbit Bridge (Attempt 2/3)

@jules

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In @backend/app/api/dependencies.py:

  • Around line 74-76: The public dependency provider get_jwt_verifier() is
    missing a Google-style Returns section in its docstring. Update the docstring
    for get_jwt_verifier to explicitly document that it returns the singleton
    JWTVerifierProtocol instance, keeping the docstring in Google format used by
    other public functions and classes.

In @backend/app/api/v1/websocket.py:

  • Around line 53-54: The _verify_token flow in websocket_chat_hub is still
    calling get_jwt_verifier() directly, which bypasses FastAPI dependency
    overrides and breaks the DI migration. Inject the JWT verifier into
    websocket_chat_hub using FastAPI Depends, then pass that verifier into
    _verify_token instead of fetching it inside the helper. Keep the token
    verification logic in _verify_token the same, but make it use the injected
    verifier instance.

In @backend/app/domain/auth/interfaces.py:

  • Around line 12-17: The public protocol API in JWTVerifierProtocol and its
    verify_token method needs Google-style docstrings instead of the current simple
    docstring. Update the class and method documentation to include clear Args and
    Returns sections so the contract for the token parameter and JWTPayload result
    is explicit for implementers.

In @backend/app/infrastructure/external/jwt_verifier.py:

  • Around line 15-27: Add Google-style docstrings to the public verifier API by
    documenting the SupabaseJWTVerifier class and its verify_token() method; update
    the class-level docstring to describe its purpose, and add a method docstring
    for verify_token() that includes Args for token and Returns for JWTPayload,
    matching the project’s Python docstring standard. Also ensure any other public
    methods in SupabaseJWTVerifier follow the same Google-style format if needed.
  • Around line 45-46: The synchronous JWKS lookup in JwtVerifier.verify_token
    blocks the event loop because PyJWKClient.get_signing_key_from_jwt() may refresh
    JWKS on cache miss or rotation. Move the key resolution in
    JwtVerifier._get_jwks_client/verify_token off the loop by running the
    get_signing_key_from_jwt call with asyncio.to_thread(...) or by replacing it
    with an async JWKS fetch/cache implementation, while keeping the rest of the
    token verification flow unchanged.
  • Around line 30-56: Narrow the broad exception handling in JWTVerifier’s token
    verification flow so expected JWT/JWKS errors are handled separately from
    unexpected failures. In jwt_verifier.py, update the try/except around
    get_unverified_header, jwt.decode, and JWKS lookup to catch jwt.PyJWTError for
    validation-related issues, and use logger.exception in the unexpected error path
    to preserve tracebacks. Keep JWTPayload construction and the existing
    verification logic intact, but avoid a blanket except Exception that downgrades
    all failures to warnings.

In @backend/tests/test_auth.py:

  • Around line 24-28: Add a test that exercises the JWKS verification path in
    SupabaseJWTVerifier.verify_token by using a non-HS256 token so execution reaches
    the PyJWKClient branch and resolves a signing key. In
    backend/tests/test_auth.py, mock PyJWKClient and the signing-key lookup with
    unittest.mock.patch, then assert the verified payload is returned (and add an
    error/edge-case assertion if key resolution fails). Keep the existing
    HS256/malformed-token tests, but ensure this new case covers the else branch in
    jwt_verifier.py.

Project context (follow these exactly):

  • Backend: FastAPI/Python — backend/app/domain/<domain>/ for business logic, backend/app/api/v1/ for routes.
  • Frontend: React Native/TypeScript — frontend/src/ directory, Expo Router, and Zustand.
  • Python style: 100-char lines, double quotes, from __future__ import annotations, str | None not Optional[str].
  • TypeScript style: 100-char lines, single quotes, functional components with hooks.
  • Lint: make lint-backend (ruff + black + mypy) or make lint-frontend (eslint + type-check).
  • Tests: make test-backend or make test-frontend. Mock all external services — never call real APIs.
  • Do not modify files unrelated to the CodeRabbit findings.

I have completed all the requested fixes as mentioned in my previous reply. The changes are fully tested and committed to the branch.

- Add Google-style Returns docstring to get_jwt_verifier
- Inject JWTVerifierProtocol into websocket_chat_hub using Depends
- Update JWTVerifierProtocol and SupabaseJWTVerifier with full Google-style docstrings
- Move blocking PyJWKClient lookup to asyncio.to_thread
- Narrow token validation exception handling to jwt.PyJWTError
- Add test coverage for RS256/JWKS execution path in tests/test_auth.py

Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Provides the injected `jwt_verifier` parameter to `websocket_chat_hub` calls in unit tests to match the updated dependency injection signature.

Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>

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