deepdata: core product code (backend, frontend, runtime, deepflow module)

2026-08-30 19:23:38 +08:00
commit bd3db30be9
1405 changed files with 271727 additions and 0 deletions
@@ -0,0 +1,99 @@
+import pytest
+
+from app.core.exception import BusinessError
+from app.module.cleaning.schema.cleaning import OperatorInstanceDto
+from app.module.cleaning.service.cleaning_task_validator import CleaningTaskValidator
+from app.module.operator.constants import CATEGORY_DEEPDATA_ID, CATEGORY_DATA_JUICER_ID
+
+
+def _op(op_id: str, inputs: str | None, outputs: str | None, categories: list[str] | None = None) -> OperatorInstanceDto:
+    return OperatorInstanceDto(id=op_id, inputs=inputs, outputs=outputs, categories=categories)
+
+
+def test_check_input_and_output_passes_with_multimodal() -> None:
+    instances = [
+        _op("a", "text", "multimodal"),
+        _op("b", "image", "text"),
+    ]
+
+    CleaningTaskValidator.check_input_and_output(instances)
+
+
+def test_check_input_and_output_raises_on_type_mismatch() -> None:
+    instances = [
+        _op("a", "text", "image"),
+        _op("b", "text", "text"),
+    ]
+
+    with pytest.raises(BusinessError):
+        CleaningTaskValidator.check_input_and_output(instances)
+
+
+def test_check_and_get_executor_type_raises_when_mixed_categories() -> None:
+    instances = [
+        _op("a", None, None, [CATEGORY_DEEPDATA_ID]),
+        _op("b", None, None, [CATEGORY_DATA_JUICER_ID]),
+    ]
+
+    with pytest.raises(BusinessError):
+        CleaningTaskValidator.check_and_get_executor_type(instances)
+
+
+def test_check_and_get_executor_type_defaults_to_deepdata() -> None:
+    instances = [_op("a", None, None, None)]
+
+    executor = CleaningTaskValidator.check_and_get_executor_type(instances)
+
+    assert executor == "deepdata"
+
+
+def test_check_task_id_raises_when_empty() -> None:
+    with pytest.raises(BusinessError):
+        CleaningTaskValidator.check_task_id("")
+
+
+def test_check_task_id_accepts_normal_value() -> None:
+    CleaningTaskValidator.check_task_id("task-1")
+
+
+def test_check_input_and_output_returns_for_empty_instances() -> None:
+    CleaningTaskValidator.check_input_and_output([])
+
+
+def test_check_input_and_output_raises_when_current_has_no_outputs() -> None:
+    instances = [
+        _op("a", "text", None),
+        _op("b", "text", "text"),
+    ]
+    with pytest.raises(BusinessError):
+        CleaningTaskValidator.check_input_and_output(instances)
+
+
+def test_check_input_and_output_raises_when_next_has_no_inputs() -> None:
+    instances = [
+        _op("a", "text", "text"),
+        _op("b", None, "text"),
+    ]
+    with pytest.raises(BusinessError):
+        CleaningTaskValidator.check_input_and_output(instances)
+
+
+@pytest.mark.parametrize(
+    "out_type,in_type",
+    [
+        ("text", "text"),
+        (" image ", "image"),
+        ("AUDIO", "audio"),
+    ],
+)
+def test_check_input_and_output_allows_exact_match_with_normalization(out_type: str, in_type: str) -> None:
+    instances = [
+        _op("a", "x", out_type),
+        _op("b", in_type, "y"),
+    ]
+    CleaningTaskValidator.check_input_and_output(instances)
+
+
+def test_check_and_get_executor_type_prefers_datajuicer_when_only_datajuicer() -> None:
+    instances = [_op("a", None, None, [CATEGORY_DATA_JUICER_ID])]
+    assert CleaningTaskValidator.check_and_get_executor_type(instances) == "default"