group_xinghuo_jinrong/tests/test_sprint2_template_vectors.py

import subprocess
import sys
from pathlib import Path
from uuid import uuid4

from fastapi.testclient import TestClient

from app import advisor_db
from app.main import app
from app.model.entities_advisor import ScriptTemplate
from app.model.advisor_schemas import AuthContext, TemplateUpdate
from app.repository.script_template_repository import ScriptTemplateRepository
from app.service.script_template_service import ScriptTemplateService

ROOT = Path(__file__).resolve().parents[1]
SCRIPT = ROOT / "scripts" / "sync" / "sync_template_vectors.py"
client = TestClient(app)

class FakeEmbeddingTool:
    def embed_text(self, text: str) -> list[float]:
        assert text
        return [0.125] * 1024

class FakeVectorStore:
    def __init__(self) -> None:
        self.ensured_collections: list[str] = []
        self.upserted: dict[str, dict] = {}
        self.deleted_template_ids: list[int] = []

    def ensure_template_collection(self) -> None:
        self.ensured_collections.append("kb_script_templates")

    def upsert_template(self, record) -> str:
        assert len(record.embedding) == 1024
        self.upserted[record.vector_id] = {
            "template_id": record.template_id,
            "scene": record.scene,
            "title": record.title,
            "tags": record.tags,
            "chunk_text": record.chunk_text,
            "chunk_no": record.chunk_no,
        }
        return record.vector_id

    def delete_template(self, template_id: int) -> None:
        self.deleted_template_ids.append(template_id)

def token_for(username: str, password: str) -> str:
    from tests.advisor_test_utils import login_token

    return login_token(username, password)

def compliance_auth() -> AuthContext:
    token = token_for("compliance_test", "compliance_test")
    from app.service.auth_service import auth_service

    return auth_service.parse_token(token, f"trace-vector-auth-{uuid4().hex}")

def create_template_row(
    *,
    is_approved: bool,
    is_active: bool = True,
    created_by: str = "test:template_vectors",
) -> ScriptTemplate:
    suffix = uuid4().hex[:8]
    with advisor_db.AgentSessionLocal() as session:
        template = ScriptTemplate(
            scene="loss_comfort",
            customer_type="C3",
            title=f"向量同步模板 {suffix}",
            content=f"您好，近期市场波动较大，请结合风险承受能力理性看待。{suffix}",
            tags=["亏损", "安抚"],
            is_approved=is_approved,
            approved_by="compliance_test" if is_approved else None,
            is_active=is_active,
            version=1,
            usage_count=0,
            created_by=created_by,
            updated_by=created_by,
        )
        session.add(template)
        session.commit()
        session.refresh(template)
        session.expunge(template)
        return template

def load_embedding_id(template_id: int) -> str | None:
    with advisor_db.AgentSessionLocal() as session:
        template = session.get(ScriptTemplate, template_id)
        assert template is not None
        return template.embedding_id

def test_template_vector_sync_indexes_only_approved_active_templates_and_updates_embedding_id():
    from app.service.script_template_vector_service import ScriptTemplateVectorService

    created_by = f"test:template_vectors:{uuid4().hex}"
    approved = create_template_row(is_approved=True, created_by=created_by)
    unapproved = create_template_row(is_approved=False, created_by=created_by)
    inactive = create_template_row(is_approved=True, is_active=False, created_by=created_by)
    vector_store = FakeVectorStore()
    service = ScriptTemplateVectorService(
        repository=ScriptTemplateRepository(),
        embedding_tool=FakeEmbeddingTool(),
        vector_store=vector_store,
    )

    result = service.sync_approved_templates(created_by=created_by)

    assert result.total == 1
    assert result.upserted == 1
    assert result.skipped == 0
    assert f"tpl_{approved.id}_0" in vector_store.upserted
    assert f"tpl_{unapproved.id}_0" not in vector_store.upserted
    assert f"tpl_{inactive.id}_0" not in vector_store.upserted
    assert load_embedding_id(approved.id) == f"tpl_{approved.id}_0"

def test_template_service_approval_upserts_vector_and_content_update_deletes_vector():
    from app.service.script_template_vector_service import ScriptTemplateVectorService

    template = create_template_row(is_approved=False, created_by=f"test:template_vectors:{uuid4().hex}")
    vector_store = FakeVectorStore()
    vector_service = ScriptTemplateVectorService(
        repository=ScriptTemplateRepository(),
        embedding_tool=FakeEmbeddingTool(),
        vector_store=vector_store,
    )
    template_service = ScriptTemplateService(repository=ScriptTemplateRepository(), vector_service=vector_service)
    auth = compliance_auth()

    approved = template_service.update_template(template.id, TemplateUpdate(is_approved=True), auth)
    updated = template_service.update_template(
        template.id,
        TemplateUpdate(content="您好，市场短期波动较大，请先阅读风险揭示材料。"),
        auth,
    )

    assert approved.embedding_id == f"tpl_{template.id}_0"
    assert f"tpl_{template.id}_0" in vector_store.upserted
    assert updated.is_approved is False
    assert updated.embedding_id is None
    assert template.id in vector_store.deleted_template_ids

def test_template_vector_service_rejects_wrong_embedding_dimension():
    from app.service.script_template_vector_service import (
        TemplateVectorError,
        ScriptTemplateVectorService,
    )

    class BadEmbeddingTool:
        def embed_text(self, text: str) -> list[float]:
            return [0.1, 0.2]

    template = create_template_row(is_approved=True, created_by=f"test:template_vectors:{uuid4().hex}")
    service = ScriptTemplateVectorService(
        repository=ScriptTemplateRepository(),
        embedding_tool=BadEmbeddingTool(),
        vector_store=FakeVectorStore(),
    )

    try:
        service.upsert_template(template)
    except TemplateVectorError as exc:
        assert "1024" in str(exc)
    else:
        raise AssertionError("TemplateVectorError was not raised")

def test_milvus_loader_ignores_relative_env_file_uri():
    from app.tool.milvus_tool import _load_pymilvus

    MilvusClient, DataType = _load_pymilvus()

    assert MilvusClient.__name__ == "MilvusClient"
    assert hasattr(DataType, "FLOAT_VECTOR")

def test_template_vector_sync_skips_when_embedding_backend_is_unavailable():
    from app.service.script_template_vector_service import ScriptTemplateVectorService
    from app.tool.embedding_tool import EmbeddingError

    class FailingEmbeddingTool:
        def embed_text(self, text: str) -> list[float]:
            raise EmbeddingError("embedding backend unavailable")

    created_by = f"test:template_vectors:{uuid4().hex}"
    create_template_row(is_approved=True, created_by=created_by)
    service = ScriptTemplateVectorService(
        repository=ScriptTemplateRepository(),
        embedding_tool=FailingEmbeddingTool(),
        vector_store=FakeVectorStore(),
    )

    result = service.sync_approved_templates(created_by=created_by)

    assert result.total >= 1
    assert result.skipped >= 1

def test_template_vector_sync_script_supports_dry_run():
    completed = subprocess.run(
        [sys.executable, str(SCRIPT), "--dry-run"],
        check=True,
        capture_output=True,
        text=True,
        cwd=ROOT,
    )

    assert "Template vector sync dry run:" in completed.stdout
    assert "total=" in completed.stdout