amazon-transcreation/backend/app/auth/providers/base.py
DJP 98fa16bfc3 feat: complete Phase 1-2 scaffold — backend, frontend, pipeline skeleton
Full-stack Amazon AI Transcreation Platform with:
- FastAPI backend (async, PostgreSQL, Redis, Celery) with 11 DB tables
- JWT auth (SSO-ready abstract provider pattern)
- 6-agent pipeline orchestrator with deterministic modules
- Next.js 14 frontend with Amazon branding (Ember fonts, orange/dark theme)
- Job wizard, monitoring HUD, output review, admin screens
- 154 TM/reference files imported, 12 locales configured
- Docker Compose for all services

Agents 2-5 (TM retrieval, ranker, transcreator, compliance) are stubs
pending Phase 3 LLM integration.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-10 12:31:43 -04:00

36 lines
1.1 KiB
Python

from abc import ABC, abstractmethod
from typing import Any
class AbstractAuthProvider(ABC):
"""Abstract base for authentication providers."""
@abstractmethod
async def authenticate(self, email: str, password: str) -> dict[str, Any] | None:
"""Authenticate a user. Returns user dict or None if invalid."""
...
@abstractmethod
def create_access_token(self, data: dict[str, Any]) -> str:
"""Create an access token for the given data."""
...
@abstractmethod
def create_refresh_token(self, data: dict[str, Any]) -> str:
"""Create a refresh token for the given data."""
...
@abstractmethod
def validate_token(self, token: str) -> dict[str, Any] | None:
"""Validate a token and return the claims, or None if invalid."""
...
@abstractmethod
def hash_password(self, password: str) -> str:
"""Hash a plaintext password."""
...
@abstractmethod
def verify_password(self, plain_password: str, hashed_password: str) -> bool:
"""Verify a plaintext password against a hash."""
...