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@GPTI314 GPTI314 commented Nov 18, 2025

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Implement comprehensive crypto service with:
- Cryptographically secure random secret generation (bytes, hex, urlsafe)
- Fernet symmetric encryption/decryption with TTL support
- SHA-256 hashing with salt and constant-time verification
- PBKDF2 key derivation from passwords (480k iterations)
- Key rotation support for encrypted data
- Comprehensive test suite (41 tests, 100% pass rate)

Security features:
- Uses secrets module for CSPRNG
- Fernet provides authenticated encryption (AES-128-CBC + HMAC)
- Constant-time hash comparison to prevent timing attacks
- OWASP-recommended PBKDF2 iterations

Dependencies:
- Add cryptography==42.0.5
- Add .gitignore for Python cache files
Implement comprehensive token management system with:
- Short-lived token issuance with configurable TTL (1s-3600s)
- In-memory token store with automatic expiry cleanup
- Thread-safe token operations with RLock
- Token validation with TTL remaining calculation
- Token revocation support

Token Models:
- TokenScope: Resource and action-based permissions
- Token: Ephemeral token with expiry tracking
- Pydantic schemas for API requests/responses

API Endpoints (/tokens):
- POST /issue: Issue new ephemeral token
- POST /validate: Validate token and check expiry
- DELETE /{token_id}: Revoke token
- GET /stats: Active token statistics
- POST /cleanup: Manual expired token cleanup

Features:
- Automatic background cleanup of expired tokens (60s interval)
- TTL validation (1-3600 seconds)
- Unique token IDs using cryptographically secure random generation
- Token metadata support for custom attributes
- Comprehensive test suite (50 tests, 100% pass rate)

Testing:
- 33 service/store tests (issuance, validation, expiry, concurrency)
- 17 API endpoint tests (full lifecycle workflows)
- Total: 92 tests passed (including Window 17 crypto tests)

Dependencies:
- Add pydantic-settings==2.2.1
- Add httpx==0.27.0 for test client
- Update config.py to use pydantic-settings
Copilot AI review requested due to automatic review settings November 18, 2025 05:28
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Copilot finished reviewing on behalf of GPTI314 November 18, 2025 05:31
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Pull Request Overview

This PR introduces a comprehensive cryptographic secret gateway service that adds token management and encryption capabilities to the existing application.

Key Changes

  • Cryptographic Services: Implements CryptoService for secure encryption/decryption, hashing, and secret generation using industry-standard libraries (Fernet, PBKDF2)
  • Token Management System: Adds TokenService with ephemeral token issuance, validation, and revocation capabilities including automatic expiry and cleanup
  • RESTful API: Provides token management endpoints (/tokens/issue, /tokens/validate, /tokens/{token_id}, /tokens/stats) through FastAPI

Reviewed Changes

Copilot reviewed 11 out of 13 changed files in this pull request and generated 15 comments.

Show a summary per file
File Description
app/services/crypto/crypto_service.py Core cryptographic operations including Fernet encryption, SHA-256 hashing, PBKDF2 key derivation, and secure random generation
app/services/crypto/token_service.py Token lifecycle management with configurable TTL, validation, and revocation logic
app/services/crypto/token_store.py Thread-safe in-memory token storage with automatic cleanup timer and expiry handling
app/services/crypto/token_models.py Pydantic models for token requests, responses, scopes, and validation schemas
app/services/crypto/__init__.py Module exports for the crypto services package
app/api/token_router.py FastAPI router defining token management endpoints with proper HTTP status codes
app/main.py Integrates token router into the main FastAPI application
app/config.py Updates to use pydantic-settings for proper settings management
requirements.txt Adds dependencies: cryptography==42.0.5, httpx==0.27.0, pydantic-settings==2.2.1
tests/test_crypto_service.py Comprehensive tests covering encryption, hashing, key derivation, and edge cases (497 lines)
tests/test_token_service.py Tests for token issuance, validation, revocation, store operations, and concurrency (573 lines)
tests/test_token_api.py API endpoint tests covering complete token workflows and error cases (418 lines)
.gitignore Adds Python-specific ignore patterns for build artifacts and caches

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Comment on lines +32 to +39
@field_validator('ttl_seconds')
@classmethod
def validate_ttl(cls, v: int) -> int:
if v < 1:
raise ValueError("TTL must be at least 1 second")
if v > 3600:
raise ValueError("TTL cannot exceed 3600 seconds (1 hour)")
return v
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The validate_ttl validator is redundant since the ttl_seconds field already has ge=1 and le=3600 constraints defined in the Field definition (lines 24-29). Pydantic will automatically validate these constraints. Consider removing this validator to avoid duplication.

Suggested change
@field_validator('ttl_seconds')
@classmethod
def validate_ttl(cls, v: int) -> int:
if v < 1:
raise ValueError("TTL must be at least 1 second")
if v > 3600:
raise ValueError("TTL cannot exceed 3600 seconds (1 hour)")
return v

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router = APIRouter(prefix="/tokens", tags=["tokens"])

# Global token service instance
_token_service: TokenService = TokenService()
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Using a global singleton token service instance may cause issues in production deployments with multiple workers. Consider using FastAPI's dependency injection system to manage the TokenService lifecycle properly. This would allow for better testing, isolation between requests, and proper cleanup on application shutdown.

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Comment on lines +119 to +120
# Clean up expired tokens first
self.cleanup_expired()
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The count() method calls cleanup_expired() on every invocation, which could be expensive if called frequently (e.g., in monitoring/metrics endpoints). Consider either: (1) removing the automatic cleanup from count() and relying on the scheduled cleanup, or (2) adding a cache/cooldown mechanism to avoid running cleanup too frequently.

Suggested change
# Clean up expired tokens first
self.cleanup_expired()

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Comment on lines +161 to +174
def shutdown(self) -> None:
"""Shutdown the store and cancel cleanup timer"""
self._shutdown = True
if self._cleanup_timer:
self._cleanup_timer.cancel()
logger.info("Token store shutdown")

def __len__(self) -> int:
"""Get count of active tokens"""
return self.count()

def __contains__(self, token_id: str) -> bool:
"""Check if token exists and is not expired"""
return self.get(token_id) is not None
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The InMemoryTokenStore has a shutdown() method to clean up the background cleanup timer, but there's no application lifecycle event handler to call it. Consider adding a FastAPI shutdown event handler in app/main.py to properly shutdown the token store and cancel the cleanup timer when the application stops.

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"""
with self._lock:
self._store[token.token_id] = token
logger.debug(f"Stored token {token.token_id}, expires at {token.expires_at}")
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The debug log statement includes the full token_id, which is sensitive information. For security best practices, consider logging only a partial token ID (e.g., token.token_id[:8]...) to prevent token leakage in log files, similar to what's done in token_service.py line 111.

Suggested change
logger.debug(f"Stored token {token.token_id}, expires at {token.expires_at}")
logger.debug(f"Stored token {token.token_id[:8]}..., expires at {token.expires_at}")

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Number of tokens removed
"""
with self._lock:
now = datetime.utcnow()
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datetime.utcnow() is deprecated as of Python 3.12. Consider using datetime.now(timezone.utc) instead for timezone-aware datetime objects.

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import hashlib
import secrets
from typing import Optional, Tuple
from base64 import b64encode, b64decode
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Import of 'b64decode' is not used.

Suggested change
from base64 import b64encode, b64decode
from base64 import b64encode

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from app.services.crypto import CryptoService
from app.services.crypto.crypto_service import (
CryptoError,
EncryptionError,
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Import of 'EncryptionError' is not used.

Suggested change
EncryptionError,

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Token models and schemas for ephemeral token management
"""

from datetime import datetime, timedelta
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Import of 'timedelta' is not used.

Suggested change
from datetime import datetime, timedelta
from datetime import datetime

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"""

import threading
from datetime import datetime, timedelta
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Import of 'timedelta' is not used.

Suggested change
from datetime import datetime, timedelta
from datetime import datetime

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2 participants