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from fastapi.testclient import TestClient
from uuid import uuid4, UUID
from datetime import datetime
import json
from tensorus.api import app
from tensorus.metadata.storage import InMemoryStorage # To directly interact for setup/verification
from tensorus.metadata.storage_abc import MetadataStorage
from tensorus.metadata.schemas import TensorDescriptor, SemanticMetadata, LineageMetadata, DataType
from tensorus.metadata.schemas_iodata import TensorusExportData, TensorusExportEntry
from tensorus.api.dependencies import get_storage_instance # To override if needed, or use global
from tensorus.config import settings as global_settings # For API key settings
from tensorus.metadata import storage_instance as global_app_storage_instance # The actual global instance
# --- Fixtures ---
@pytest.fixture(scope="function")
def client_with_clean_storage(monkeypatch):
"""
Provides a TestClient with a fresh InMemoryStorage instance for each test.
This ensures test isolation for I/O operations.
It works by ensuring the global `storage_instance` (used by `get_storage_instance` dependency)
is an InMemoryStorage and is cleared.
"""
# Ensure global settings point to in_memory for these tests
monkeypatch.setattr(global_settings, "STORAGE_BACKEND", "in_memory")
# Assert that the globally configured instance is indeed InMemoryStorage
# (This will be true if tensorus.metadata was imported after settings were patched,
# or if the default was already in_memory and not changed by other tests' env vars)
# For robust testing, one might re-import tensorus.metadata or use app.dependency_overrides
if not isinstance(global_app_storage_instance, InMemoryStorage):
# This indicates a test setup issue or interference if another test changed the global instance type
pytest.skip("Skipping I/O tests: Requires InMemoryStorage to be the active global backend for clearing.")
global_app_storage_instance.clear_all_data() # Start fresh
with TestClient(app) as c:
yield c
global_app_storage_instance.clear_all_data() # Clean up after test
@pytest.fixture
def sample_td_1(client_with_clean_storage: TestClient) -> TensorDescriptor:
# Add directly to the global_app_storage_instance that the TestClient's app is using
td = TensorDescriptor(
tensor_id=uuid4(), dimensionality=1, shape=[10], data_type=DataType.FLOAT32,
owner="io_test_user", byte_size=40, tags=["export_test"]
)
global_app_storage_instance.add_tensor_descriptor(td)
return td
@pytest.fixture
def sample_td_2(client_with_clean_storage: TestClient) -> TensorDescriptor:
td_id = uuid4()
td = TensorDescriptor(
tensor_id=td_id, dimensionality=2, shape=[3,3], data_type=DataType.INT64,
owner="io_test_user2", byte_size=72
)
global_app_storage_instance.add_tensor_descriptor(td)
global_app_storage_instance.add_semantic_metadata(SemanticMetadata(tensor_id=td_id, name="purpose", description="testing import/export"))
global_app_storage_instance.add_lineage_metadata(LineageMetadata(tensor_id=td_id, version="v1.0-exp"))
return td
# --- /tensors/export Endpoint Tests ---
def test_export_all_data(client_with_clean_storage: TestClient, sample_td_1: TensorDescriptor, sample_td_2: TensorDescriptor):
response = client_with_clean_storage.get("/tensors/export")
assert response.status_code == 200
assert "attachment; filename=" in response.headers["content-disposition"]
data = response.json() # FastAPI TestClient .json() handles parsing
assert data["export_format_version"] == "1.0" # Using the renamed field
assert len(data["entries"]) == 2
entry_ids = {entry["tensor_descriptor"]["tensor_id"] for entry in data["entries"]}
assert str(sample_td_1.tensor_id) in entry_ids
assert str(sample_td_2.tensor_id) in entry_ids
td2_entry = next(e for e in data["entries"] if e["tensor_descriptor"]["tensor_id"] == str(sample_td_2.tensor_id))
assert td2_entry["tensor_descriptor"]["owner"] == "io_test_user2"
assert len(td2_entry["semantic_metadata"]) == 1
assert td2_entry["semantic_metadata"][0]["name"] == "purpose"
assert td2_entry["lineage_metadata"]["version"] == "v1.0-exp"
assert td2_entry["computational_metadata"] is None
def test_export_selected_tensor_ids(client_with_clean_storage: TestClient, sample_td_1: TensorDescriptor, sample_td_2: TensorDescriptor):
response = client_with_clean_storage.get(f"/tensors/export?tensor_ids={sample_td_1.tensor_id}")
assert response.status_code == 200
data = response.json()
assert len(data["entries"]) == 1
assert data["entries"][0]["tensor_descriptor"]["tensor_id"] == str(sample_td_1.tensor_id)
response_multi = client_with_clean_storage.get(f"/tensors/export?tensor_ids={sample_td_1.tensor_id},{sample_td_2.tensor_id}")
assert response_multi.status_code == 200
assert len(response_multi.json()["entries"]) == 2
def test_export_non_existent_tensor_id(client_with_clean_storage: TestClient, sample_td_1: TensorDescriptor):
non_existent_id = uuid4()
response = client_with_clean_storage.get(f"/tensors/export?tensor_ids={non_existent_id},{sample_td_1.tensor_id}")
assert response.status_code == 200
data = response.json()
assert len(data["entries"]) == 1
assert data["entries"][0]["tensor_descriptor"]["tensor_id"] == str(sample_td_1.tensor_id)
def test_export_invalid_uuid_format(client_with_clean_storage: TestClient):
response = client_with_clean_storage.get("/tensors/export?tensor_ids=not-a-uuid,another-bad-uuid")
assert response.status_code == 400
assert "Invalid UUID format" in response.json()["detail"]
# --- /tensors/import Endpoint Tests ---
API_KEY = "test_io_key_for_real" # Different from security tests to avoid clash if run together
@pytest.fixture(scope="module", autouse=True) # Apply to all tests in this module
def setup_io_api_keys_module():
"""Set API key settings for I/O API tests using a local MonkeyPatch."""
monkeypatch = pytest.MonkeyPatch()
monkeypatch.setattr(global_settings, "VALID_API_KEYS", [API_KEY])
monkeypatch.setattr(global_settings, "API_KEY_HEADER_NAME", "X-API-KEY")
from tensorus.api.security import api_key_header_auth as global_api_key_header_auth
monkeypatch.setattr(global_api_key_header_auth, "name", "X-API-KEY")
yield
monkeypatch.undo()
def test_import_data_skip_strategy(client_with_clean_storage: TestClient, sample_td_1: TensorDescriptor):
export_entry_td1 = TensorusExportEntry(tensor_descriptor=sample_td_1)
new_td_id = uuid4()
new_td_payload_model = TensorDescriptor(
tensor_id=new_td_id, dimensionality=1, shape=[5], data_type=DataType.INT16, owner="importer", byte_size=10
)
export_entry_new = TensorusExportEntry(tensor_descriptor=new_td_payload_model)
import_payload = TensorusExportData(entries=[export_entry_td1, export_entry_new])
headers = {"X-API-KEY": API_KEY}
response = client_with_clean_storage.post("/tensors/import?conflict_strategy=skip", json=import_payload.model_dump(mode="json"), headers=headers)
assert response.status_code == 200
summary = response.json()
assert summary["imported"] == 1
assert summary["skipped"] == 1
assert summary["overwritten"] == 0
assert summary["failed"] == 0
assert client_with_clean_storage.get(f"/tensor_descriptors/{new_td_id}").status_code == 200
td1_after_import_resp = client_with_clean_storage.get(f"/tensor_descriptors/{sample_td_1.tensor_id}")
assert td1_after_import_resp.status_code == 200
assert td1_after_import_resp.json()["owner"] == sample_td_1.owner
def test_import_data_overwrite_strategy(client_with_clean_storage: TestClient, sample_td_1: TensorDescriptor):
updated_td1_model = sample_td_1.model_copy(deep=True) # Pydantic v2
# updated_td1_model = sample_td_1.copy(deep=True) # Pydantic v1
updated_td1_model.owner = "overwritten_owner"
updated_td1_model.tags = ["overwritten_tag"]
export_entry_updated_td1 = TensorusExportEntry(tensor_descriptor=updated_td1_model)
import_payload = TensorusExportData(entries=[export_entry_updated_td1])
headers = {"X-API-KEY": API_KEY}
response = client_with_clean_storage.post("/tensors/import?conflict_strategy=overwrite", json=import_payload.model_dump(mode="json"), headers=headers)
assert response.status_code == 200
summary = response.json()
# Overwritten is counted, imported refers to net new usually.
# The InMemoryStorage import_data counts `overwritten +=1` and `imported` is for truly new.
assert summary["imported"] == 0
assert summary["skipped"] == 0
assert summary["overwritten"] == 1
assert summary["failed"] == 0
td1_after_import_resp = client_with_clean_storage.get(f"/tensor_descriptors/{sample_td_1.tensor_id}")
assert td1_after_import_resp.status_code == 200
td1_after_import_data = td1_after_import_resp.json()
assert td1_after_import_data["owner"] == "overwritten_owner"
assert "overwritten_tag" in td1_after_import_data["tags"]
def test_import_data_with_all_metadata_types(client_with_clean_storage: TestClient):
td_id = uuid4()
full_entry = TensorusExportEntry(
tensor_descriptor=TensorDescriptor(tensor_id=td_id, dimensionality=1, shape=[1], data_type=DataType.UINT8, owner="full_import", byte_size=1),
semantic_metadata=[SemanticMetadata(tensor_id=td_id, name="sm_name", description="sm_desc")],
lineage_metadata=LineageMetadata(tensor_id=td_id, version="vImport"),
)
import_payload = TensorusExportData(entries=[full_entry])
headers = {"X-API-KEY": API_KEY}
response = client_with_clean_storage.post("/tensors/import", json=import_payload.model_dump(mode="json"), headers=headers)
assert response.status_code == 200
summary = response.json()
assert summary["imported"] == 1
assert client_with_clean_storage.get(f"/tensor_descriptors/{td_id}").status_code == 200
sm_response = client_with_clean_storage.get(f"/tensor_descriptors/{td_id}/semantic")
assert sm_response.status_code == 200; assert len(sm_response.json()) == 1
assert sm_response.json()[0]["name"] == "sm_name"
lm_response = client_with_clean_storage.get(f"/tensor_descriptors/{td_id}/lineage")
assert lm_response.status_code == 200; assert lm_response.json()["version"] == "vImport"
def test_import_data_invalid_payload(client_with_clean_storage: TestClient):
invalid_json_payload = {"foo": "bar"}
headers = {"X-API-KEY": API_KEY}
response = client_with_clean_storage.post("/tensors/import", json=invalid_json_payload, headers=headers)
assert response.status_code == 422
def test_import_data_invalid_conflict_strategy(client_with_clean_storage: TestClient):
td_id = uuid4()
entry = TensorusExportEntry(tensor_descriptor=TensorDescriptor(tensor_id=td_id, dimensionality=0, shape=[], data_type=DataType.BOOLEAN, owner="x", byte_size=0))
import_payload = TensorusExportData(entries=[entry])
headers = {"X-API-KEY": API_KEY}
response = client_with_clean_storage.post("/tensors/import?conflict_strategy=delete_all", json=import_payload.model_dump(mode="json"), headers=headers)
assert response.status_code == 422
def test_import_data_postgres_not_implemented(client_with_clean_storage: TestClient, monkeypatch):
from unittest.mock import MagicMock
# Simulate Postgres backend for this test
mock_postgres_storage = MagicMock(spec=MetadataStorage)
mock_postgres_storage.import_data.side_effect = NotImplementedError("Postgres import not done.")
# Override the dependency for this specific test
# This requires `app` to be accessible or to create a new app instance with this override.
# `client_with_clean_storage.app` provides the app instance used by the client.
original_dependency = app.dependency_overrides.get(get_storage_instance)
app.dependency_overrides[get_storage_instance] = lambda: mock_postgres_storage
try:
td_id = uuid4()
entry = TensorusExportEntry(
tensor_descriptor=TensorDescriptor(
tensor_id=td_id,
dimensionality=0,
shape=[],
data_type=DataType.BOOLEAN,
owner="x",
byte_size=0,
)
)
import_payload = TensorusExportData(entries=[entry])
headers = {"X-API-KEY": API_KEY}
response = client_with_clean_storage.post(
"/tensors/import",
json=import_payload.model_dump(mode="json"),
headers=headers,
)
assert response.status_code == 501
assert "Import functionality is not implemented" in response.json()["detail"]
finally:
if original_dependency:
app.dependency_overrides[get_storage_instance] = original_dependency
else:
del app.dependency_overrides[get_storage_instance]
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