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<div class="section" id="getting-started">
<span id="index-0"></span><span id="id1"></span>
<ul>
<li><p class="first">Create a directory called course in your home directory (mkdir course)</p>
</li>
<li><p class="first">Open a new window, change the current directory to course (cd course) and start an <a class="reference internal" href="/wiki/display/ECFLOW/Glossary#term-ecf-server"><em class="xref std std-term">ecf_server</em></a>:
If you are using a shared machine then type:</p>
<div class="highlight-python"><pre>&gt; ecf_start.sh</pre>
</div>
<p>This will start an <a class="reference internal" href="/wiki/display/ECFLOW/Glossary#term-ecf-server"><em class="xref std std-term">ecf_server</em></a> running on your system with a port number unique to your user ID.
ECF log files and check point files are created in the current directory by default.</p>
<p>Please keep a note of the <strong>Host</strong> and <strong>Port</strong> given from your ecf_start output for later.
Note that the default for ECF log files is the <tt class="file docutils literal"><span class="pre">~/ecf_server</span></tt> directory.
The host and program number uniquely identify your ECF server.
When you want to access this server with <a class="reference internal" href="/wiki/display/ECFLOW/ecFlow+Python+Api#python-api"><em>ecFlow Python Api</em></a> or <a class="reference internal" href="/wiki/display/ECFLOW/Glossary#term-ecflowview"><em class="xref std std-term">ecFlowview</em></a> you need to know these numbers.
By setting the value of the variable ECF_NODE and ECF_PORT you identify the server you wish to access.
Multiple <a class="reference internal" href="/wiki/display/ECFLOW/Glossary#term-ecf-server"><em class="xref std std-term">ecf_server</em></a>&#8216;s can run on the same system.</p>
<p>Alternatively if you are running on your own local machine type:</p>
<div class="highlight-python"><pre>&gt; ecf_server</pre>
</div>
<p>at the unix prompt.</p>
<p>This will start an <a class="reference internal" href="/wiki/display/ECFLOW/Glossary#term-ecf-server"><em class="xref std std-term">ecf_server</em></a> running on your system with a default host name of &#8220;localhost&#8221; and port number of 3141.
If another program on your machine is using this port number, then you will get an &#8220;Address in use&#8221; error.
To start the server on a specific port number you can use:</p>
<div class="highlight-python"><pre>&gt; ecf_server --port=3500</pre>
</div>
<p>or</p>
<div class="highlight-python"><pre>&gt; export ECF_PORT=3500; ecf_server</pre>
</div>
<p>ECF log files and check point files are created in the current directory by default, and have
a prefix &lt;machine_name&gt;.&lt;port_number&gt;. As this allows multiple servers to run on the same machine.</p>
</li>
<li><p class="first">If you had previously run the same ECF server in the past it will also attempt to recover from a previous
ecf checkpoint file if available</p>
</li>
<li><p class="first">In another window, change the current directory to course and copy the file <a class="reference internal" href="#head-h"><em>head.h</em></a> and <a class="reference internal" href="#tail-h"><em>tail.h</em></a> into it.</p>
</li>
</ul>
<div class="section" id="head-h">
<span id="id2"></span><h2>head.h<a class="headerlink" href="#head-h" title="Permalink to this headline">¶</a></h2>
<div class="highlight-python"><pre>#!/bin/ksh
set -e # stop the shell on first error
set -u # fail when using an undefined variable
set -x # echo script lines as they are executed


# Defines the variables that are needed for any communication with ECF
export ECF_PORT=%ECF_PORT%    # The server port number
export ECF_NODE=%ECF_NODE%    # The name of ecf host that issued this task
export ECF_NAME=%ECF_NAME%    # The name of this current task
export ECF_PASS=%ECF_PASS%    # A unique password
export ECF_TRYNO=%ECF_TRYNO%  # Current try number of the task
export ECF_RID=$$


# Tell ecFlow we have stated
ecf_client --init=$$


# Defined a error hanlder
ERROR() {
   set +e                      # Clear -e flag, so we don't fail
   ecf_client --abort=trap     # Notify ecFlow that something went wrong, using 'trap' as the reason
   trap 0                      # Remove the trap
   exit 0                      # End the script
}


# Trap any calls to exit and errors caught by the -e flag
trap ERROR 0


# Trap any signal that may cause the script to fail
trap '{ echo "Killed by a signal"; ERROR ; }' 1 2 3 4 5 6 7 8 10 12 13 15</pre>
</div>
</div>
<div class="section" id="tail-h">
<span id="id3"></span><h2>tail.h<a class="headerlink" href="#tail-h" title="Permalink to this headline">¶</a></h2>
<div class="highlight-python"><pre>ecf_client --complete  # Notify ecFlow of a normal end
trap 0                 # Remove all traps
exit 0                 # End the shell</pre>
</div>
</div>
</div>