New pipeline functional tests

tests/functional/pipelines/run_test.py

@@ -107,3 +107,61 @@ def test_run_multipipe_with_datasets(batchmode: bool):
         **{"batchmode": batchmode}
     )
     assert response["status"] == "SUCCESS"
+
+
+@pytest.mark.parametrize("batchmode", [True, False])
+def test_run_segment_reconstruct(batchmode: bool):
+    pipeline = PipelineFactory.list(query="Segmentation/Reconstruction Functional Test - DO NOT DELETE")["results"][0]
+    response = pipeline.run("https://aixplain-platform-assets.s3.amazonaws.com/samples/en/CPAC1x2.wav", **{"batchmode": batchmode})
+
+    assert response["status"] == "SUCCESS"
+    output = response["data"][0]
+    assert output["label"] == "Output 1"
+
+
+@pytest.mark.parametrize("batchmode", [True, False])
+def test_run_metric(batchmode: bool):
+    pipeline = PipelineFactory.list(query="ASR Metric Functional Test - DO NOT DELETE")["results"][0]
+    response = pipeline.run({
+        "AudioInput": "https://aixplain-platform-assets.s3.amazonaws.com/samples/en/CPAC1x2.wav",
+        "ReferenceInput": "https://aixplain-platform-assets.s3.amazonaws.com/samples/en/CPAC1x2.txt"
+    }, **{"batchmode": batchmode})
+
+    assert response["status"] == "SUCCESS"
+    assert len(response["data"]) == 2
+    assert response["data"][0]["label"] in ["TranscriptOutput", "ScoreOutput"]
+    assert response["data"][1]["label"] in ["TranscriptOutput", "ScoreOutput"]
+
+
+@pytest.mark.parametrize(
+    "batchmode,input_data,output_data", 
+    [
+        (True, "https://aixplain-platform-assets.s3.amazonaws.com/samples/en/CPAC1x2.wav", "AudioOutput"),
+        (False, "https://aixplain-platform-assets.s3.amazonaws.com/samples/en/CPAC1x2.wav", "AudioOutput"),
+        (True, "https://aixplain-platform-assets.s3.amazonaws.com/samples/en/CPAC1x2.txt", "TextOutput"),
+        (False, "https://aixplain-platform-assets.s3.amazonaws.com/samples/en/CPAC1x2.txt", "TextOutput")
+    ]
+)
+def test_run_router(batchmode: bool, input_data: str, output_data: str):
+    pipeline = PipelineFactory.list(query="Router Test - DO NOT DELETE")["results"][0]
+    response = pipeline.run(input_data, **{"batchmode": batchmode})
+
+    assert response["status"] == "SUCCESS"
+    assert response["data"][0]["label"] == output_data
+
+
+@pytest.mark.parametrize(
+    "batchmode,input_data,output_data", 
+    [
+        (True, "I love it.", "PositiveOutput"),
+        (False, "I love it.", "PositiveOutput"),
+        (True, "I hate it.", "NegativeOutput"),
+        (False, "I hate it.", "NegativeOutput")
+    ]
+)
+def test_run_decision(batchmode: bool, input_data: str, output_data: str):
+    pipeline = PipelineFactory.list(query="Decision Test - DO NOT DELETE")["results"][0]
+    response = pipeline.run(input_data, **{"batchmode": batchmode})
+
+    assert response["status"] == "SUCCESS"
+    assert response["data"][0]["label"] == output_data