Add Example for DeepMedic

Author: lukaszimmermann

examples/hello-world-petronetto-deepmedic/Dockerfile

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+FROM personalhealthtrain/train-api-python:1.0rc3-petronetto-deepmedic
+COPY entrypoint.py /opt/entrypoint.py
+ENTRYPOINT [ "python", "/opt/entrypoint.py" ]

examples/hello-world-petronetto-deepmedic/Makefile

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+.PHONY: all, describe, run
+all:
+	docker build --rm --no-cache -t hello-world-petronetto-deepmedic:station.1 . 
+	
+describe:
+	docker run --rm hello-world-petronetto-deepmedic:station.1 --station-id 1 describe
+
+run:
+	docker run --rm hello-world-petronetto-deepmedic:station.1 --station-id 1 run
+

examples/hello-world-petronetto-deepmedic/entrypoint.py

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+import os
+from pht.internal import StationRuntimeInfo, ConjunctionBuilder
+from pht.train.response import RunResponse
+from pht.train import SimpleTrain
+from pht.requirement import url_by_name, Require
+from pht.train.response.exit_state import SUCCESS
+from pht.rebase import DockerRebaseStrategy
+from pht.entrypoint import cmd_for_train
+import deepmedic
+
+model_file = '/opt/model'
+
+
+class MyTrain(SimpleTrain):
+    def __init__(self):
+        self.data_source = url_by_name('MY_DATA_SOURCE')
+
+    # Define the requirements of the Train here
+    def requirements(self) -> ConjunctionBuilder:
+        return Require(self.data_source)
+
+    # Generate the Summary of the Model
+    def model_summary(self) -> str:
+        return 'Hello from: DeepMedic'
+
+    # Run the algorithm (fetch data, generate model, etc.)
+    def run(self, info: StationRuntimeInfo) -> RunResponse:
+
+        # Fetch the data here
+
+        # Implement the algorithm here and serialze the learned model to the filesystem, something like this
+        if not os.path.exists('/opt'):
+            os.mkdir('/opt')
+        with open(model_file, 'w') as f:
+            f.write('Hello World')
+
+        return RunResponse(
+            state=SUCCESS,
+            free_text_message='Hello world',
+            rebase=DockerRebaseStrategy(
+                frm='personalhealthtrain/train-api-python:1.0rc3',
+                next_train_tag='station.2',
+                export_files=[model_file]
+            )
+        )
+
+
+if __name__ == '__main__':
+    cmd_for_train(MyTrain())