Remove abstract component test (#510)

Removing abstract component test and update image caption component
test.

Resolves #367

components/caption_images/Dockerfile

@@ -1,4 +1,4 @@
-FROM --platform=linux/amd64 pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
+FROM --platform=linux/amd64 pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime as base
 
 # System dependencies
 RUN apt-get update && \
@@ -15,9 +15,16 @@ ARG FONDANT_VERSION=main
 RUN pip3 install fondant[aws,azure,gcp]@git+https://github.com/ml6team/fondant@${FONDANT_VERSION}
 
 # Set the working directory to the component folder
-WORKDIR /component/src
+WORKDIR /component
+COPY src/ src/
+ENV PYTHONPATH "${PYTHONPATH}:./src"
 
-# Copy over src-files
-COPY src/ .
+FROM base as test
+COPY test_requirements.txt .
+RUN pip3 install --no-cache-dir -r test_requirements.txt
+COPY tests/ tests/
+RUN python -m pytest tests
 
+FROM base
+WORKDIR /component/src
 ENTRYPOINT ["fondant", "execute", "main"]

components/caption_images/test_requirements.txt

@@ -0,0 +1 @@
+pytest==7.4.2

components/caption_images/tests/test_caption_images.py

@@ -1,27 +1,31 @@
 import pandas as pd
 import requests
-from caption_images.src.main import CaptionImagesComponent
-from fondant.abstract_component_test import AbstractComponentTest
 
+from src.main import CaptionImagesComponent
 
-class TestCaptionImagesComponent(AbstractComponentTest):
-    def create_component(self):
-        return CaptionImagesComponent(
+
+def test_image_caption_component():
+    image_urls = [
+        "https://cdn.pixabay.com/photo/2023/06/29/09/52/angkor-thom-8096092_1280.jpg",
+        "https://cdn.pixabay.com/photo/2023/07/19/18/56/japanese-beetle-8137606_1280.png",
+    ]
+    input_dataframe = pd.DataFrame(
+        {"images": {"data": [requests.get(url).content for url in image_urls]}})
+
+    expected_output_dataframe = pd.DataFrame(
+            data={("captions", "text"): {0: "a motorcycle", 1: "a beetle"}},
+        )
+
+    component = CaptionImagesComponent(
             model_id="Salesforce/blip-image-captioning-base",
             batch_size=4,
             max_new_tokens=2,
         )
 
-    def create_input_data(self):
-        image_urls = [
-            "https://cdn.pixabay.com/photo/2023/06/29/09/52/angkor-thom-8096092_1280.jpg",
-            "https://cdn.pixabay.com/photo/2023/07/19/18/56/japanese-beetle-8137606_1280.png",
-        ]
-        return pd.DataFrame(
-            {"images": {"data": [requests.get(url).content for url in image_urls]}},
-        )
+    output_dataframe = component.transform(input_dataframe)
 
-    def create_output_data(self):
-        return pd.DataFrame(
-            data={("captions", "text"): {0: "a motorcycle", 1: "a beetle"}},
-        )
+    pd.testing.assert_frame_equal(
+        left=expected_output_dataframe,
+        right=output_dataframe,
+        check_dtype=False,
+    )