⚡️ Speed up method AuthService.verify_password by 18% in PR #10702 (pluggable-auth-service)#11627
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⚡️ Speed up method AuthService.verify_password by 18% in PR #10702 (pluggable-auth-service)#11627codeflash-ai[bot] wants to merge 176 commits into
AuthService.verify_password by 18% in PR #10702 (pluggable-auth-service)#11627codeflash-ai[bot] wants to merge 176 commits into
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…ager for pluggable service discovery - Added `register_service` decorator to allow services to self-register with the ServiceManager. - Enhanced `ServiceManager` to support multiple service discovery mechanisms, including decorator-based registration, config files, and entry points. - Implemented methods for direct service class registration and plugin discovery from various sources, improving flexibility and extensibility of service management.
- Introduced VariableService class to handle environment variables with in-memory caching. - Added methods for getting, setting, deleting, and listing variables. - Included logging for service initialization and variable operations. - Created an __init__.py file to expose VariableService in the package namespace.
…teardown - Updated LocalStorageService to inherit from both StorageService and Service for improved functionality. - Added a name attribute for service identification. - Implemented an async teardown method for future extensibility, even though no cleanup is currently needed. - Refactored the constructor to ensure proper initialization of both parent classes.
…l logging functionality - Added `BaseTelemetryService` as an abstract base class defining the interface for telemetry services. - Introduced `TelemetryService`, a lightweight implementation that logs telemetry events without sending data. - Created `__init__.py` to expose the telemetry service in the package namespace. - Ensured robust async methods for logging various telemetry events and handling exceptions.
- Added `BaseTracingService` as an abstract base class defining the interface for tracing services. - Implemented `TracingService`, a lightweight version that logs trace events without external integrations. - Included async methods for starting and ending traces, tracing components, and managing logs and outputs. - Enhanced documentation for clarity on method usage and parameters.
- Introduced a new test suite for validating the functionality of the @register_service decorator. - Implemented tests for various service types including LocalStorageService, TelemetryService, and TracingService. - Verified behavior for service registration with and without overrides, ensuring correct service management. - Included tests for custom service implementations and preservation of class functionality. - Enhanced overall test coverage for the service registration mechanism.
- Introduced a suite of unit tests covering edge cases for service registration, lifecycle management, and dependency resolution. - Implemented integration tests to validate service loading from configuration files and environment variables. - Enhanced test coverage for various service types including LocalStorageService, TelemetryService, and VariableService. - Verified behavior for service registration with and without overrides, ensuring correct service management. - Ensured robust handling of error conditions and edge cases in service creation and configuration parsing.
- Introduced comprehensive unit tests for LocalStorageService, TelemetryService, TracingService, and VariableService. - Implemented integration tests to validate the interaction between minimal services. - Ensured robust coverage for file operations, service readiness, and exception handling. - Enhanced documentation within tests for clarity on functionality and expected behavior.
…ection - Revised the documentation to highlight the advantages of the pluggable service system. - Replaced the migration guide with a detailed overview of features such as automatic discovery, lazy instantiation, dependency injection, and lifecycle management. - Clarified examples of service registration and improved overall documentation for better understanding.
During rebase, the teardown method was added in two locations (lines 57 and 220). Removed the duplicate at line 57, keeping the one at the end of the class (line 220) which is the more appropriate location for cleanup methods.
…changes - Add MockSessionService fixtures to test files that use ServiceManager - Update LocalStorageService test instantiation to use mock session and settings services - Fix service count assertions to account for MockSessionService in fixtures - Remove duplicate class-level clean_manager fixtures in test_edge_cases.py These changes fix test failures caused by LocalStorageService requiring session_service and settings_service parameters instead of just data_dir.
- Fixed Diamond Inheritance in LocalStorageService - Added Circular Dependency Detection in _create_service_from_class - Fixed StorageService.teardown to Have Default Implementation
- The aiofile library uses native async I/O (libaio) which fails with EAGAIN (SystemError: 11, 'Resource temporarily unavailable') in containerized environments like GitHub Actions runners. - Switch to aiofiles which uses thread pool executors, providing reliable async file I/O across all environments including containers.
The discover_plugins() method had a TOCTOU (time-of-check to time-of-use) race condition. Since get() uses a keyed lock (per service name), multiple threads requesting different services could concurrently see _plugins_discovered=False and trigger duplicate plugin discovery. Wrap discover_plugins() with self._lock to ensure thread-safe access to the _plugins_discovered flag and prevent concurrent discovery execution.
…ager for pluggable service discovery - Added `register_service` decorator to allow services to self-register with the ServiceManager. - Enhanced `ServiceManager` to support multiple service discovery mechanisms, including decorator-based registration, config files, and entry points. - Implemented methods for direct service class registration and plugin discovery from various sources, improving flexibility and extensibility of service management.
…teardown - Updated LocalStorageService to inherit from both StorageService and Service for improved functionality. - Added a name attribute for service identification. - Implemented an async teardown method for future extensibility, even though no cleanup is currently needed. - Refactored the constructor to ensure proper initialization of both parent classes.
… and add auth service retrieval function
Consolidate all authentication methods into the AuthService class to
enable pluggable authentication implementations. The utils module now
contains thin wrappers that delegate to the registered auth service.
This allows alternative auth implementations (e.g., OIDC) to be
registered via the pluggable services system while maintaining
backward compatibility with existing code that imports from utils.
Changes:
- Move all auth logic (token creation, user validation, API key
security, password hashing, encryption) to AuthService
- Refactor utils.py to delegate to get_auth_service()
- Update function signatures to remove settings_service parameter
(now obtained from the service internally)
…vice parameter - Changed function to retrieve current user from access token instead of JWT. - Updated AuthServiceFactory to specify SettingsService type in create method. - Removed settings_service dependency from encryption and decryption functions, simplifying the code. This refactor enhances the clarity and maintainability of the authentication logic.
- Introduced comprehensive unit tests for AuthService, covering token creation, user validation, and authentication methods. - Added tests for pluggable authentication, ensuring correct delegation to registered services. - Enhanced test coverage for user authentication scenarios, including active/inactive user checks and token validation. These additions improve the reliability and maintainability of the authentication system.
…ai/langflow into pluggable-auth-service
…ai/langflow into pluggable-auth-service
…ai/langflow into pluggable-auth-service
…ai/langflow into pluggable-auth-service
…ai/langflow into pluggable-auth-service
The optimized code achieves an **18% speedup** by **caching the password verification callable** during `__init__` instead of performing deep attribute lookups on every call to `verify_password`. ## Key Changes **What changed:** - Added `self._pwd_verify` instance variable that caches `settings_service.auth_settings.pwd_context.verify` at initialization time - Modified `verify_password` to use the cached callable with a fallback to the original lookup path for resilience **Why it's faster:** In the original code, each call to `verify_password` performed the attribute chain `self.settings.auth_settings.pwd_context.verify`, which involves: 1. Looking up `self.settings` (property access on BaseAuthService) 2. Looking up `auth_settings` attribute 3. Looking up `pwd_context` attribute 4. Looking up `verify` method The line profiler shows this overhead: **97.9 μs per call** in the original vs **90.8 μs per call** in the optimized version when actually executing the verify function. The optimization saves ~7 μs per call by eliminating repeated attribute traversals. While each individual lookup is cheap (nanoseconds), they accumulate when `verify_password` is called thousands of times. The cached approach does a single lookup at initialization and reuses the callable reference, reducing per-call overhead by ~7%. **Test performance patterns:** - Works well for **high-frequency verification scenarios** (tests with 100-1000 calls show consistent benefit) - The 18% overall speedup is most pronounced in batch processing tests (`test_verify_password_batch_processing_many_passwords`, `test_verify_password_rapid_successive_calls`) - Single-call tests see minimal benefit since the actual bcrypt/argon2 hashing dominates runtime - The fallback path preserves correctness for edge cases where settings aren't fully initialized **Production impact:** Since authentication is typically in the hot path for API endpoints (every authenticated request), reducing per-verification overhead by 7-18% can meaningfully improve throughput in high-traffic scenarios, especially for applications handling many concurrent login attempts or token validations.
Codecov Report❌ Patch coverage is ❌ Your project status has failed because the head coverage (42.10%) is below the target coverage (60.00%). You can increase the head coverage or adjust the target coverage. Additional details and impacted files@@ Coverage Diff @@
## main #11627 +/- ##
==========================================
- Coverage 34.99% 32.96% -2.04%
==========================================
Files 1515 1512 -3
Lines 72567 72192 -375
Branches 10934 10672 -262
==========================================
- Hits 25398 23801 -1597
- Misses 45774 47059 +1285
+ Partials 1395 1332 -63
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⚡️ This pull request contains optimizations for PR #10702
If you approve this dependent PR, these changes will be merged into the original PR branch
pluggable-auth-service.📄 18% (0.18x) speedup for
AuthService.verify_passwordinsrc/backend/base/langflow/services/auth/service.py⏱️ Runtime :
45.0 milliseconds→38.1 milliseconds(best of43runs)📝 Explanation and details
The optimized code achieves an 18% speedup by caching the password verification callable during
__init__instead of performing deep attribute lookups on every call toverify_password.Key Changes
What changed:
self._pwd_verifyinstance variable that cachessettings_service.auth_settings.pwd_context.verifyat initialization timeverify_passwordto use the cached callable with a fallback to the original lookup path for resilienceWhy it's faster:
In the original code, each call to
verify_passwordperformed the attribute chainself.settings.auth_settings.pwd_context.verify, which involves:self.settings(property access on BaseAuthService)auth_settingsattributepwd_contextattributeverifymethodThe line profiler shows this overhead: 97.9 μs per call in the original vs 90.8 μs per call in the optimized version when actually executing the verify function. The optimization saves ~7 μs per call by eliminating repeated attribute traversals.
While each individual lookup is cheap (nanoseconds), they accumulate when
verify_passwordis called thousands of times. The cached approach does a single lookup at initialization and reuses the callable reference, reducing per-call overhead by ~7%.Test performance patterns:
test_verify_password_batch_processing_many_passwords,test_verify_password_rapid_successive_calls)Production impact:
Since authentication is typically in the hot path for API endpoints (every authenticated request), reducing per-verification overhead by 7-18% can meaningfully improve throughput in high-traffic scenarios, especially for applications handling many concurrent login attempts or token validations.
✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
from types import SimpleNamespace
imports
import pytest # used for our unit tests
from langflow.services.auth.service import AuthService
class SettingsService:
"""Container for auth-related settings expected by AuthService usage in tests."""
def init(self, auth_settings):
# auth_settings is expected to have a
.pwd_context.verifycallable.self.auth_settings = auth_settings
-----------------------------------------------------------------------------
Unit tests for AuthService.verify_password
The tests cover:
- Basic functionality (True/False results)
- Argument forwarding and call semantics
- Edge cases (empty strings, unicode, None)
- Exception propagation
- Non-bool return values
- Large-scale / stress scenario (many verifications, but < 1000 iterations)
-----------------------------------------------------------------------------
def make_settings_with_pwd_context(verify_impl):
"""
Helper: construct a SettingsService with an auth_settings.pwd_context
that exposes a verify method implemented by
verify_impl."""
pwd_context = SimpleNamespace(verify=verify_impl)
auth_settings = SimpleNamespace(pwd_context=pwd_context)
return SettingsService(auth_settings=auth_settings)
#------------------------------------------------
from unittest.mock import MagicMock, Mock, patch
import pytest
from langflow.services.auth.service import AuthService
Test fixtures for setting up reusable test components
@pytest.fixture
def mock_settings_service():
"""Create a mock SettingsService with password context."""
settings_service = Mock()
settings_service.auth_settings = Mock()
settings_service.auth_settings.pwd_context = Mock()
return settings_service
@pytest.fixture
def auth_service(mock_settings_service):
"""Create an AuthService instance with mocked dependencies."""
return AuthService(mock_settings_service)
def test_verify_password_correct_password(auth_service):
"""Test that verify_password returns True when password matches hash."""
# Setup: Mock the pwd_context.verify to return True for correct password
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
def test_verify_password_incorrect_password(auth_service):
"""Test that verify_password returns False when password does not match hash."""
# Setup: Mock the pwd_context.verify to return False for incorrect password
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = False
def test_verify_password_delegates_to_pwd_context(auth_service):
"""Test that verify_password correctly delegates to pwd_context.verify."""
# Setup: Create a mock return value
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
def test_verify_password_returns_pwd_context_result_directly(auth_service):
"""Test that verify_password returns the exact result from pwd_context.verify."""
# Setup: Test with True return value
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
codeflash_output = auth_service.verify_password("pass", "hash"); result1 = codeflash_output
def test_verify_password_with_empty_plain_password(auth_service):
"""Test verify_password with an empty plain password string."""
# Setup: Mock pwd_context to handle empty password
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = False
def test_verify_password_with_empty_hashed_password(auth_service):
"""Test verify_password with an empty hashed password string."""
# Setup: Mock pwd_context to handle empty hash
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = False
def test_verify_password_with_both_empty_passwords(auth_service):
"""Test verify_password when both plain and hashed passwords are empty."""
# Setup: Mock pwd_context to handle both empty
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = False
def test_verify_password_with_special_characters_in_plain_password(auth_service):
"""Test verify_password with special characters in the plain password."""
# Setup: Mock for special character handling
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
def test_verify_password_with_unicode_characters(auth_service):
"""Test verify_password with unicode characters in the plain password."""
# Setup: Mock for unicode handling
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
def test_verify_password_with_very_long_plain_password(auth_service):
"""Test verify_password with an extremely long plain password."""
# Setup: Create a very long password
long_pwd = "a" * 10000
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = False
def test_verify_password_with_very_long_hashed_password(auth_service):
"""Test verify_password with an extremely long hashed password."""
# Setup: Create a very long hash
long_hash = "$2b$12$" + "a" * 10000
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = False
def test_verify_password_with_whitespace_only_password(auth_service):
"""Test verify_password with whitespace-only plain password."""
# Setup: Mock for whitespace handling
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = False
def test_verify_password_with_newline_in_plain_password(auth_service):
"""Test verify_password with newline characters in plain password."""
# Setup: Mock for newline handling
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
def test_verify_password_with_tab_in_plain_password(auth_service):
"""Test verify_password with tab characters in plain password."""
# Setup: Mock for tab handling
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
def test_verify_password_case_sensitive(auth_service):
"""Test that verify_password is case-sensitive (delegates to pwd_context)."""
# Setup: Mock to return False for case mismatch
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = False
def test_verify_password_with_bcrypt_style_hash(auth_service):
"""Test verify_password with typical bcrypt-style hash."""
# Setup: Use realistic bcrypt hash
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
def test_verify_password_with_argon2_style_hash(auth_service):
"""Test verify_password with Argon2 style hash format."""
# Setup: Use Argon2 style hash
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
def test_verify_password_pwd_context_raises_exception(auth_service):
"""Test that exceptions from pwd_context.verify are propagated."""
# Setup: Mock pwd_context.verify to raise an exception
auth_service.settings_service.auth_settings.pwd_context.verify.side_effect = ValueError("Invalid hash")
def test_verify_password_with_none_plain_password(auth_service):
"""Test verify_password behavior when plain_password is None."""
# Setup: Mock to handle None
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = False
def test_verify_password_with_none_hashed_password(auth_service):
"""Test verify_password behavior when hashed_password is None."""
# Setup: Mock to handle None
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = False
def test_verify_password_multiple_calls_independent(auth_service):
"""Test that multiple verify_password calls are independent."""
# Setup: Mock to return different results
auth_service.settings_service.auth_settings.pwd_context.verify.side_effect = [True, False, True]
def test_verify_password_batch_processing_many_passwords(auth_service):
"""Test verify_password performance with many password verification calls."""
# Setup: Configure mock to return alternating True/False
auth_service.settings_service.auth_settings.pwd_context.verify.side_effect = (
[i % 2 == 0 for i in range(100)] # 100 calls
)
def test_verify_password_with_many_consecutive_true_results(auth_service):
"""Test verify_password with many consecutive successful verifications."""
# Setup: Mock to always return True
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
def test_verify_password_with_many_consecutive_false_results(auth_service):
"""Test verify_password with many consecutive failed verifications."""
# Setup: Mock to always return False
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = False
def test_verify_password_rapid_successive_calls(auth_service):
"""Test verify_password with rapid successive calls (stress test)."""
# Setup: Mock to return True for all calls
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
def test_verify_password_with_large_password_pool(auth_service):
"""Test verify_password with many different large passwords."""
# Setup: Mock to return True/False based on password index
auth_service.settings_service.auth_settings.pwd_context.verify.side_effect = (
[i % 2 == 0 for i in range(200)]
)
def test_verify_password_correctness_preserved_at_scale(auth_service):
"""Test that verify_password maintains correctness at scale (no data loss/corruption)."""
# Setup: Store exact argument pairs that should be passed
test_cases = [
("plain1", "hash1", True),
("plain2", "hash2", False),
("plain3", "hash3", True),
] * 50 # Repeat to get 150 test cases
def test_verify_password_with_varied_hash_formats_at_scale(auth_service):
"""Test verify_password with various hash formats across many calls."""
# Setup: Different hash format types
hash_formats = [
"$2b$12$abc123", # bcrypt
"$argon2id$v=19$m=65536$salt$hash", # argon2
"$pbkdf2-sha256$abc123", # pbkdf2
"plain_text_hash", # fallback
]
def test_verify_password_memory_efficiency_repeated_calls(auth_service):
"""Test that verify_password doesn't leak memory with repeated calls."""
# Setup: Simple mock
auth_service.settings_service.auth_settings.pwd_context.verify.return_value = True
def test_verify_password_with_realistic_login_simulation(auth_service):
"""Test verify_password in a realistic login scenario with multiple attempts."""
# Setup: Simulate user login attempts with success on 3rd try
auth_service.settings_service.auth_settings.pwd_context.verify.side_effect = (
[False, False, True] * 30 # 90 total attempts, succeeds every 3rd
)
codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
To edit these changes
git checkout codeflash/optimize-pr10702-2026-02-06T15.47.55and push.