Files
border-red-post-nalati/backend/tests/test_migrations.py
T

124 lines
5.4 KiB
Python

import pytest
from alembic.autogenerate import compare_metadata
from alembic.migration import MigrationContext
from conftest import migrate
from fastapi.testclient import TestClient
from sqlalchemy import text
from app.db.session import Base
from app.main import create_app
def test_startup_requires_migration(database):
with pytest.raises(RuntimeError, match="alembic upgrade head"):
with TestClient(create_app(database)):
pass
def test_startup_rejects_previous_schema(database):
migrate(database, "0005_chunk_indexes")
with pytest.raises(RuntimeError, match="alembic upgrade head"):
with TestClient(create_app(database)):
pass
def test_upgrade_preserves_original_rows_and_repeated_upgrade(database):
migrate(database, "0001_baseline")
with database.begin() as connection:
connection.execute(
text("""INSERT INTO knowledge_items
(title, category, content, source_url, verification_status)
VALUES ('示例旧数据', '未分类', '原始正文', 'https://example.com/', 'verified')""")
)
# 模拟 create_all 建表后没有 Alembic 版本记录的旧工程。
connection.execute(text("DELETE FROM alembic_version"))
migrate(database)
migrate(database)
with database.connect() as connection:
row = connection.execute(text("SELECT * FROM knowledge_items")).mappings().one()
assert row["title"] == "示例旧数据" and row["content"] == "原始正文"
assert row["collected_at"] is None
assert row["verification_status"] == "pending"
assert connection.scalar(text("SELECT count(*) FROM audit_events")) == 2
assert connection.scalar(text("SELECT version_num FROM alembic_version")) == "0006_vectors"
assert compare_metadata(MigrationContext.configure(connection), Base.metadata) == []
migrate(database, "0001_baseline", downgrade=True)
with database.connect() as connection:
assert connection.scalar(text("SELECT content FROM knowledge_items")) == "原始正文"
migrate(database)
def test_auth_upgrade_and_downgrade_preserve_knowledge_and_retrieval(database):
migrate(database, "0003_retrieval_runs")
with database.begin() as c:
c.execute(
text("""INSERT INTO knowledge_items
(title, category, content, verification_status, version, updated_at, is_deleted)
VALUES ('占位', '其他', '保留的占位正文', 'pending', 1, now(), false)""")
)
c.execute(
text("""INSERT INTO retrieval_runs
(id, query, mode, corpus_fingerprint, response)
VALUES ('00000000-0000-0000-0000-000000000001', '占位', 'keyword', 'placeholder', '{}')""")
)
migrate(database)
with database.connect() as c:
assert c.scalar(text("SELECT count(*) FROM users")) == 0
assert c.scalar(text("SELECT count(*) FROM auth_sessions")) == 0
migrate(database, "0003_retrieval_runs", downgrade=True)
with database.connect() as c:
assert c.scalar(text("SELECT content FROM knowledge_items")) == "保留的占位正文"
assert c.scalar(text("SELECT count(*) FROM retrieval_runs")) == 1
migrate(database)
def test_chunk_index_downgrade_preserves_users_sessions_knowledge_and_retrieval(
client, migrated_database
):
from test_indexing import build, publish
from test_retrieval import add_item, search
item = add_item(client)
run = search(client)
version = build(client)
assert publish(client, version).status_code == 200
migrate(migrated_database, "0004_auth_sessions", downgrade=True)
with migrated_database.connect() as c:
assert c.scalar(text("SELECT count(*) FROM users")) == 1
assert c.scalar(text("SELECT count(*) FROM auth_sessions")) == 1
assert (
c.scalar(text("SELECT content FROM knowledge_items WHERE id=:id"), {"id": item["id"]})
== item["content"]
)
assert c.scalar(text("SELECT id FROM retrieval_runs")) == run["run_id"]
migrate(migrated_database)
assert client.get("/api/auth/me").status_code == 200
assert client.get("/api/indexes").json()["total"] == 0
assert client.get("/api/indexes/active").json()["generation"] == 0
def test_vector_downgrade_retains_text_publications_and_prior_retrieval_runs(
client, migrated_database
):
from test_retrieval import add_item
from test_vectors import ToyProvider, text_version, vector_build, vector_publish, vector_search
from app.services.embedding_runtime import get_embedding_provider
client.app.dependency_overrides[get_embedding_provider] = ToyProvider
add_item(client)
text_ = text_version(client)
version = vector_build(client, text_)
vector_publish(client, version)
history = vector_search(client).json()
migrate(migrated_database, "0005_chunk_indexes", downgrade=True)
with migrated_database.connect() as c:
assert c.scalar(text("SELECT active_version_id FROM index_state")) == text_["id"]
assert c.scalar(text("SELECT count(*) FROM chunks")) == 1
assert c.scalar(text("SELECT count(*) FROM users")) == 1
assert c.scalar(text("SELECT count(*) FROM index_publications")) == 1
assert c.scalar(text("SELECT id FROM retrieval_runs")) == history["run_id"]
migrate(migrated_database)
assert client.get("/api/vector-indexes/active").json()["generation"] == 0
assert client.get(f"/api/retrieval/runs/{history['run_id']}").json() == history