dotb_ai-platform/tests/conftest.py

import asyncio
import os
from collections.abc import Callable, Iterator
from typing import Any
from urllib.parse import urlsplit
from uuid import uuid4

import httpx
import pytest
from fastapi import FastAPI
from sqlalchemy import delete, select

from ai_platform.bootstrap.app import create_app
from ai_platform.infrastructure.config.settings import Settings
from ai_platform.infrastructure.persistence.database import make_session_factory
from ai_platform.infrastructure.persistence.models import AIProfile, AppCredential, ScoringRun
from ai_platform.platform.security import digest


@pytest.fixture
def isolated_settings(monkeypatch: pytest.MonkeyPatch) -> None:
    """Keep pure configuration tests independent of operator credentials and local URLs."""
    monkeypatch.setitem(Settings.model_config, "env_file", None)
    for name in tuple(os.environ):
        if name.startswith("AI_PLATFORM_"):
            monkeypatch.delenv(name)


@pytest.fixture
def valid_run_payload():
    return {
        "request_id": "f81c7c4e-a92a-4b19-8d7a-3a5c08eb4e6e",
        "account_id": "3",
        "subject_ref": "lead-1",
        "snapshot": {
            "version": "1.0.0",
            "scope": "linked_contact_history",
            "captured_at": "2026-01-01T12:00:00Z",
            "lead_profile": {
                "ems_lead_id": "lead-1",
                "name": "A. Example",
                "custom_fields": {"region": "north"},
            },
            "conversations": [
                {
                    "conversation_id": "conversation-2",
                    "channel": "webchat",
                    "assigned_agent_id": "agent-1",
                    "messages": [
                        {
                            "message_id": "message-2",
                            "sender_type": "agent",
                            "content": "Thanks for contacting us.",
                            "sent_at": "2025-12-31T11:00:00+00:00",
                        },
                        {
                            "message_id": "message-1",
                            "sender_type": "contact",
                            "content": "I am interested.",
                            "sent_at": "2025-12-31T10:00:00+00:00",
                        },
                    ],
                }
            ],
            "identity_context": {
                "match_quality": "phone_only",
                "contact_id": "contact-1",
                "details": {"source": "phone"},
            },
            "trigger_metadata": {
                "trigger_type": "manual_omni",
                "trigger_conversation_id": "conversation-2",
                "actor_id": "user-1",
            },
        },
        "scoring_config": {
            "version": "omni-v1",
            "rules": [
                {
                    "id": "region",
                    "field": "custom_fields.region",
                    "operator": "eq",
                    "value": "north",
                    "points": 25,
                }
            ],
            "rule_weight": 1,
            "ai_weight": 0,
        },
        "ai_profile": "light",
    }


@pytest.fixture
def aihub_test_environment() -> Iterator[dict[str, Any]]:
    loaded = Settings.load()
    database_name = urlsplit(loaded.database_url).path.rstrip("/").rsplit("/", 1)[-1]
    if database_name != "ai_platform_test":
        raise RuntimeError("AIHub scoring integration tests require /ai_platform_test")
    settings = Settings(
        database_url=loaded.database_url,
        environment="development",
        aihub_base_url="http://localhost:8080",
    )
    factory = make_session_factory(settings.database_url)
    suffix = uuid4().hex
    app_id = f"aihub-test-{suffix}"
    profile_version = f"aihub-test-{suffix}"
    app_key = f"test-only-app-key-{suffix}"
    vkey = "test-only-vkey-do-not-leak"
    original_active: set[str] = set()

    async def setup() -> None:
        nonlocal original_active
        async with factory() as db:
            profiles = (await db.scalars(select(AIProfile))).all()
            original_active = {profile.version for profile in profiles if profile.active}
            for profile in profiles:
                profile.active = False
            db.add(
                AIProfile(
                    version=profile_version,
                    model="openai/gpt-4o-mini",
                    system_prompt="Dùng tiếng Việt. Chỉ phân tích dữ liệu được cung cấp.",
                    timeout_seconds=4,
                    limits={},
                    active=True,
                )
            )
            db.add(AppCredential(app_id=app_id, verifier=digest(app_key)))
            await db.commit()
        await factory.kw["bind"].dispose()

    async def cleanup() -> None:
        async with factory() as db:
            await db.execute(delete(ScoringRun).where(ScoringRun.app_id == app_id))
            await db.execute(delete(AppCredential).where(AppCredential.app_id == app_id))
            await db.execute(delete(AIProfile).where(AIProfile.version == profile_version))
            profiles = (await db.scalars(select(AIProfile))).all()
            for profile in profiles:
                profile.active = profile.version in original_active
            await db.commit()
        await factory.kw["bind"].dispose()

    asyncio.run(setup())

    def app_for(handler: Callable[[httpx.Request], httpx.Response]) -> FastAPI:
        return create_app(settings, aihub_transport=httpx.MockTransport(handler))

    try:
        yield {
            "app_for": app_for,
            "factory": factory,
            "settings": settings,
            "profile_version": profile_version,
            "app_id": app_id,
            "app_key": app_key,
            "vkey": vkey,
        }
    finally:
        asyncio.run(cleanup())