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  <h1>First Steps</h1>

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<h2 id="installation">📚 Installation<a class="headerlink" href="#installation" title="Permanent link">&para;</a></h2>
<p>The StreamPipes Python library is meant to work with Python 3.8 and above. Installation can be done via <code>pip</code>:
You can install the latest development version from GitHub, as so:</p>
<div class="language-bash highlight"><pre><span></span><code>pip<span class="w"> </span>install<span class="w"> </span>streampipes

<span class="c1"># if you want to have the current development state you can also execute</span>
pip<span class="w"> </span>install<span class="w"> </span>git+https://github.com/apache/streampipes.git#subdirectory<span class="o">=</span>streampipes-client-python
<span class="c1"># the corresponding documentation can be found here: https://streampipes.apache.org/docs/docs/python/dev/</span>
</code></pre></div>
<h2 id="setting-up-streampipes">⬆️ Setting up StreamPipes<a class="headerlink" href="#setting-up-streampipes" title="Permanent link">&para;</a></h2>
<p>When working with the StreamPipes Python library it is inevitable to have a running StreamPipes instance to connect and interact with.
In case you don't have a running instance at hand, you can easily set up one on your local machine.
Hereby you need to consider that StreamPipes supports different message broker (e.g., Kafka, NATS).
We will demonstrate below how you can easily set up StreamPipes for both supported message brokers.
<br></p>
<h3 id="start-streampipes-via-docker-compose">🐳 Start StreamPipes via Docker Compose<a class="headerlink" href="#start-streampipes-via-docker-compose" title="Permanent link">&para;</a></h3>
<p>The easiest and therefore recommend way to get StreamPipes started is by using <a href="https://docs.docker.com/compose/">docker compose</a>.
Therefore, you need Docker running. You can check if Docker is ready on your machine by executing.
<div class="language-bash highlight"><pre><span></span><code>docker<span class="w"> </span>ps
</code></pre></div>
If this results in an output similar to the following, Docker is ready to continue.
<div class="language-text highlight"><pre><span></span><code>CONTAINER ID   IMAGE     COMMAND   CREATED   STATUS    PORTS     NAMES
...            ...       ...       ...       ...       ...       ...
</code></pre></div>
Otherwise, you need to start docker first.
Please read the full guide on how to start StreamPipes with <code>docker compose</code> <a href="https://streampipes.apache.org/docs/docs/deploy-docker.html">here</a>.</p>
<h4 id="setup-streampipes-with-nats-as-message-broker">Setup StreamPipes with NATS as message broker<a class="headerlink" href="#setup-streampipes-with-nats-as-message-broker" title="Permanent link">&para;</a></h4>
<p>The following shows how you can set up a StreamPipes instance that uses <a href="https://docs.nats.io/">NATS</a> as messaging layer.
So in this scenario, we will go with <code>docker-compose.nats.yml</code>. 
Thereby, when running locally, we need to add the following port mapping entry to <code>services.nats.ports</code>:
<div class="language-yaml highlight"><pre><span></span><code><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">4222:4222</span>
</code></pre></div></p>
<p>After this modification is applied, StreamPipes can simply be started with this command:
<div class="language-bash highlight"><pre><span></span><code>docker-compose<span class="w"> </span>-f<span class="w"> </span>docker-compose.nats.yml<span class="w"> </span>up<span class="w"> </span>-d
</code></pre></div></p>
<p>Once all services are started, you can access StreamPipes via <code>http://localhost</code>.</p>
<h4 id="setup-streampipes-with-kafka-as-message-broker">Setup StreamPipes with Kafka as message broker<a class="headerlink" href="#setup-streampipes-with-kafka-as-message-broker" title="Permanent link">&para;</a></h4>
<p>Alternatively, you can use <code>docker-compose.yml</code> to start StreamPipes with Kafka as messaging layer.
When running locally we have to modify <code>services.kafka.environment</code> and add the ports to <code>services.kafka.ports</code>:
<div class="language-yaml highlight"><pre><span></span><code><span class="nt">environment</span><span class="p">:</span>
<span class="w">  </span><span class="nt">KAFKA_LISTENER_SECURITY_PROTOCOL_MAP</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">PLAINTEXT:PLAINTEXT,OUTSIDE:PLAINTEXT</span>
<span class="w">  </span><span class="nt">KAFKA_ADVERTISED_LISTENERS</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">PLAINTEXT://:9092,OUTSIDE://localhost:9094</span>
<span class="w">  </span><span class="nt">KAFKA_LISTENERS</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">PLAINTEXT://:9092,OUTSIDE://:9094</span>
<span class="nn">...</span>
<span class="nt">ports</span><span class="p">:</span>
<span class="w">  </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">9094:9094</span>
</code></pre></div>
Then, you need to execute the following command:
<div class="language-bash highlight"><pre><span></span><code>docker-compose<span class="w"> </span>-f<span class="w"> </span>docker-compose.yml<span class="w"> </span>up<span class="w"> </span>-d
</code></pre></div></p>
<p>Once all services are started, you can access StreamPipes via <code>http://localhost</code>.</p>
<p>In case you want to have more control over your StreamPipes setup,
you might take a look at our <a href="https://streampipes.apache.org/docs/docs/extend-cli.html">deployment CLI</a>.</p>
<p>Have fun discovering StreamPipes and our Python library 🚀</p>


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