First working draft of kafka for inference app

[demo.git] / vnfs / DAaaS / microservices / PythonApps / python-kafkaConsumer-inference-app / src / Dockerfile

diff --git a/vnfs/DAaaS/microservices/PythonApps/python-kafkaConsumer-inference-app/src/Dockerfile b/vnfs/DAaaS/microservices/PythonApps/python-kafkaConsumer-inference-app/src/Dockerfile
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+# Python image to use.
+FROM python:3.8
+
+# Set the working directory to /src/hdfs-writer
+WORKDIR /src/inferenceApp
+
+# Install librdkafka
+RUN mkdir /librdkafka-dir && cd /librdkafka-dir
+RUN git clone https://github.com/edenhill/librdkafka.git && \
+cd librdkafka && \
+./configure --prefix /usr && \
+make && \
+make install
+
+#RUN export PYTHONPATH="/usr/bin/python3:/src/python-kafkaconsumer-inference-app/"
+
+# copy the requirements file used for dependencies
+COPY requirements.txt .
+
+# Install any needed packages specified in requirements.txt
+RUN pip install --trusted-host pypi.python.org -r requirements.txt
+
+RUN pip install confluent-kafka
+RUN pip install python-dateutil
+
+# Install ptvsd for debugging
+RUN pip install ptvsd
+
+
+
+# Copy the rest of the working directory contents into the container at /app
+COPY . ./
+
+# Start the server when the container launches
+CMD ["python3", "-m", "ptvsd", "--host", "localhost", "--port", "5000", "--wait", "/src/inferenceApp/main.py"]
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