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<blockquote>
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<div class="section" id="customizing-dag-scheduling-with-timetables">
<h1>Customizing DAG Scheduling with Timetables<a class="headerlink" href="#customizing-dag-scheduling-with-timetables" title="Permalink to this headline"></a></h1>
<p>For our example, let's say a company wants to run a job after each weekday to
process data collected during the work day. The first intuitive answer to this
would be <code class="docutils literal notranslate"><span class="pre">schedule_interval=&quot;0</span> <span class="pre">0</span> <span class="pre">*</span> <span class="pre">*</span> <span class="pre">1-5&quot;</span></code> (midnight on Monday to Friday), but
this means data collected on Friday will <em>not</em> be processed right after Friday
ends, but on the next Monday, and that run's interval would be from midnight
Friday to midnight <em>Monday</em>. What we want is:</p>
<ul class="simple">
<li><p>Schedule a run for each Monday, Tuesday, Wednesday, Thursday, and Friday. The
run's data interval would cover from midnight of each day, to midnight of the
next day (e.g. 2021-01-01 00:00:00 to 2021-01-02 00:00:00).</p></li>
<li><p>Each run would be created right after the data interval ends. The run covering
Monday happens on midnight Tuesday and so on. The run covering Friday happens
on midnight Saturday. No runs happen on midnights Sunday and Monday.</p></li>
</ul>
<p>For simplicity, we will only deal with UTC datetimes in this example.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>All datetime values returned by a custom timetable <strong>MUST</strong> be &quot;aware&quot;, i.e.
contains timezone information. Furthermore, they must use <code class="docutils literal notranslate"><span class="pre">pendulum</span></code>'s
datetime and timezone types.</p>
</div>
<div class="section" id="timetable-registration">
<h2>Timetable Registration<a class="headerlink" href="#timetable-registration" title="Permalink to this headline"></a></h2>
<p>A timetable must be a subclass of <a class="reference internal" href="../_api/airflow/timetables/base/index.html#airflow.timetables.base.Timetable" title="airflow.timetables.base.Timetable"><code class="xref py py-class docutils literal notranslate"><span class="pre">Timetable</span></code></a>,
and be registered as a part of a <a class="reference internal" href="../plugins.html"><span class="doc">plugin</span></a>. The following is a
skeleton for us to implement a new timetable:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">airflow.plugins_manager</span> <span class="kn">import</span> <span class="n">AirflowPlugin</span>
<span class="kn">from</span> <span class="nn">airflow.timetables.base</span> <span class="kn">import</span> <span class="n">Timetable</span>
<span class="k">class</span> <span class="nc">AfterWorkdayTimetable</span><span class="p">(</span><span class="n">Timetable</span><span class="p">):</span>
<span class="k">pass</span>
<span class="k">class</span> <span class="nc">WorkdayTimetablePlugin</span><span class="p">(</span><span class="n">AirflowPlugin</span><span class="p">):</span>
<span class="n">name</span> <span class="o">=</span> <span class="s2">&quot;workday_timetable_plugin&quot;</span>
<span class="n">timetables</span> <span class="o">=</span> <span class="p">[</span><span class="n">AfterWorkdayTimetable</span><span class="p">]</span>
</pre></div>
</div>
<p>Next, we'll start putting code into <code class="docutils literal notranslate"><span class="pre">AfterWorkdayTimetable</span></code>. After the
implementation is finished, we should be able to use the timetable in our DAG
file:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pendulum</span>
<span class="kn">from</span> <span class="nn">airflow</span> <span class="kn">import</span> <span class="n">DAG</span>
<span class="kn">from</span> <span class="nn">airflow.example_dags.plugins.workday</span> <span class="kn">import</span> <span class="n">AfterWorkdayTimetable</span>
<span class="k">with</span> <span class="n">DAG</span><span class="p">(</span>
<span class="n">dag_id</span><span class="o">=</span><span class="s2">&quot;example_after_workday_timetable_dag&quot;</span><span class="p">,</span>
<span class="n">start_date</span><span class="o">=</span><span class="n">pendulum</span><span class="o">.</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2021</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="n">tz</span><span class="o">=</span><span class="s2">&quot;UTC&quot;</span><span class="p">),</span>
<span class="n">timetable</span><span class="o">=</span><span class="n">AfterWorkdayTimetable</span><span class="p">(),</span>
<span class="n">tags</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;example&quot;</span><span class="p">,</span> <span class="s2">&quot;timetable&quot;</span><span class="p">],</span>
<span class="p">)</span> <span class="k">as</span> <span class="n">dag</span><span class="p">:</span>
<span class="o">...</span>
</pre></div>
</div>
</div>
<div class="section" id="define-scheduling-logic">
<h2>Define Scheduling Logic<a class="headerlink" href="#define-scheduling-logic" title="Permalink to this headline"></a></h2>
<p>When Airflow's scheduler encounters a DAG, it calls one of the two methods to
know when to schedule the DAG's next run.</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">next_dagrun_info</span></code>: The scheduler uses this to learn the timetable's regular
schedule, i.e. the &quot;one for every workday, run at the end of it&quot; part in our
example.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">infer_manual_data_interval</span></code>: When a DAG run is manually triggered (from the web
UI, for example), the scheduler uses this method to learn about how to
reverse-infer the out-of-schedule run's data interval.</p></li>
</ul>
<p>We'll start with <code class="docutils literal notranslate"><span class="pre">infer_manual_data_interval</span></code> since it's the easier of the two:</p>
<div class="example-block-wrapper docutils container">
<p class="example-header example-header--with-button"><span class="example-title">airflow/example_dags/plugins/workday.py</span><a class="example-header-button viewcode-button reference internal" href="../_modules/airflow/example_dags/plugins/workday.html"><span class="viewcode-link">[source]</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">infer_manual_data_interval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">run_after</span><span class="p">:</span> <span class="n">DateTime</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataInterval</span><span class="p">:</span>
<span class="n">weekday</span> <span class="o">=</span> <span class="n">run_after</span><span class="o">.</span><span class="n">weekday</span><span class="p">()</span>
<span class="k">if</span> <span class="n">weekday</span> <span class="ow">in</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">6</span><span class="p">):</span> <span class="c1"># Monday and Sunday -- interval is last Friday.</span>
<span class="n">days_since_friday</span> <span class="o">=</span> <span class="p">(</span><span class="n">run_after</span><span class="o">.</span><span class="n">weekday</span><span class="p">()</span> <span class="o">-</span> <span class="mi">4</span><span class="p">)</span> <span class="o">%</span> <span class="mi">7</span>
<span class="n">delta</span> <span class="o">=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="n">days_since_friday</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span> <span class="c1"># Otherwise the interval is yesterday.</span>
<span class="n">delta</span> <span class="o">=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">start</span> <span class="o">=</span> <span class="n">DateTime</span><span class="o">.</span><span class="n">combine</span><span class="p">((</span><span class="n">run_after</span> <span class="o">-</span> <span class="n">delta</span><span class="p">)</span><span class="o">.</span><span class="n">date</span><span class="p">(),</span> <span class="n">Time</span><span class="o">.</span><span class="n">min</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tzinfo</span><span class="o">=</span><span class="n">UTC</span><span class="p">)</span>
<span class="k">return</span> <span class="n">DataInterval</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="n">start</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="p">(</span><span class="n">start</span> <span class="o">+</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)))</span>
</pre></div>
</div>
</div>
<p>The method accepts one argument <code class="docutils literal notranslate"><span class="pre">run_after</span></code>, a <code class="docutils literal notranslate"><span class="pre">pendulum.DateTime</span></code> object
that indicates when the DAG is externally triggered. Since our timetable creates
a data interval for each complete work day, the data interval inferred here
should usually start at the midnight one day prior to <code class="docutils literal notranslate"><span class="pre">run_after</span></code>, but if
<code class="docutils literal notranslate"><span class="pre">run_after</span></code> falls on a Sunday or Monday (i.e. the prior day is Saturday or
Sunday), it should be pushed further back to the previous Friday. Once we know
the start of the interval, the end is simply one full day after it. We then
create a <a class="reference internal" href="../_api/airflow/timetables/base/index.html#airflow.timetables.base.DataInterval" title="airflow.timetables.base.DataInterval"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataInterval</span></code></a> object to describe this
interval.</p>
<p>Next is the implementation of <code class="docutils literal notranslate"><span class="pre">next_dagrun_info</span></code>:</p>
<div class="example-block-wrapper docutils container">
<p class="example-header example-header--with-button"><span class="example-title">airflow/example_dags/plugins/workday.py</span><a class="example-header-button viewcode-button reference internal" href="../_modules/airflow/example_dags/plugins/workday.html"><span class="viewcode-link">[source]</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">next_dagrun_info</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span>
<span class="o">*</span><span class="p">,</span>
<span class="n">last_automated_data_interval</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">DataInterval</span><span class="p">],</span>
<span class="n">restriction</span><span class="p">:</span> <span class="n">TimeRestriction</span><span class="p">,</span>
<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Optional</span><span class="p">[</span><span class="n">DagRunInfo</span><span class="p">]:</span>
<span class="k">if</span> <span class="n">last_automated_data_interval</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span> <span class="c1"># There was a previous run on the regular schedule.</span>
<span class="n">last_start</span> <span class="o">=</span> <span class="n">last_automated_data_interval</span><span class="o">.</span><span class="n">start</span>
<span class="n">last_start_weekday</span> <span class="o">=</span> <span class="n">last_start</span><span class="o">.</span><span class="n">weekday</span><span class="p">()</span>
<span class="k">if</span> <span class="mi">0</span> <span class="o">&lt;=</span> <span class="n">last_start_weekday</span> <span class="o">&lt;</span> <span class="mi">4</span><span class="p">:</span> <span class="c1"># Last run on Monday through Thursday -- next is tomorrow.</span>
<span class="n">delta</span> <span class="o">=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span> <span class="c1"># Last run on Friday -- skip to next Monday.</span>
<span class="n">delta</span> <span class="o">=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span> <span class="o">-</span> <span class="n">last_start_weekday</span><span class="p">))</span>
<span class="n">next_start</span> <span class="o">=</span> <span class="n">DateTime</span><span class="o">.</span><span class="n">combine</span><span class="p">((</span><span class="n">last_start</span> <span class="o">+</span> <span class="n">delta</span><span class="p">)</span><span class="o">.</span><span class="n">date</span><span class="p">(),</span> <span class="n">Time</span><span class="o">.</span><span class="n">min</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tzinfo</span><span class="o">=</span><span class="n">UTC</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span> <span class="c1"># This is the first ever run on the regular schedule.</span>
<span class="n">next_start</span> <span class="o">=</span> <span class="n">restriction</span><span class="o">.</span><span class="n">earliest</span>
<span class="k">if</span> <span class="n">next_start</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> <span class="c1"># No start_date. Don&#39;t schedule.</span>
<span class="k">return</span> <span class="kc">None</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">restriction</span><span class="o">.</span><span class="n">catchup</span><span class="p">:</span>
<span class="c1"># If the DAG has catchup=False, today is the earliest to consider.</span>
<span class="n">next_start</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="n">next_start</span><span class="p">,</span> <span class="n">DateTime</span><span class="o">.</span><span class="n">combine</span><span class="p">(</span><span class="n">Date</span><span class="o">.</span><span class="n">today</span><span class="p">(),</span> <span class="n">Time</span><span class="o">.</span><span class="n">min</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tzinfo</span><span class="o">=</span><span class="n">UTC</span><span class="p">))</span>
<span class="k">elif</span> <span class="n">next_start</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">!=</span> <span class="n">Time</span><span class="o">.</span><span class="n">min</span><span class="p">:</span>
<span class="c1"># If earliest does not fall on midnight, skip to the next day.</span>
<span class="n">next_day</span> <span class="o">=</span> <span class="n">next_start</span><span class="o">.</span><span class="n">date</span><span class="p">()</span> <span class="o">+</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">next_start</span> <span class="o">=</span> <span class="n">DateTime</span><span class="o">.</span><span class="n">combine</span><span class="p">(</span><span class="n">next_day</span><span class="p">,</span> <span class="n">Time</span><span class="o">.</span><span class="n">min</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tzinfo</span><span class="o">=</span><span class="n">UTC</span><span class="p">)</span>
<span class="n">next_start_weekday</span> <span class="o">=</span> <span class="n">next_start</span><span class="o">.</span><span class="n">weekday</span><span class="p">()</span>
<span class="k">if</span> <span class="n">next_start_weekday</span> <span class="ow">in</span> <span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">):</span> <span class="c1"># If next start is in the weekend, go to next Monday.</span>
<span class="n">delta</span> <span class="o">=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span> <span class="o">-</span> <span class="n">next_start_weekday</span><span class="p">))</span>
<span class="n">next_start</span> <span class="o">=</span> <span class="n">next_start</span> <span class="o">+</span> <span class="n">delta</span>
<span class="k">if</span> <span class="n">restriction</span><span class="o">.</span><span class="n">latest</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">next_start</span> <span class="o">&gt;</span> <span class="n">restriction</span><span class="o">.</span><span class="n">latest</span><span class="p">:</span>
<span class="k">return</span> <span class="kc">None</span> <span class="c1"># Over the DAG&#39;s scheduled end; don&#39;t schedule.</span>
<span class="k">return</span> <span class="n">DagRunInfo</span><span class="o">.</span><span class="n">interval</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="n">next_start</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="p">(</span><span class="n">next_start</span> <span class="o">+</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)))</span>
</pre></div>
</div>
</div>
<p>This method accepts two arguments. <code class="docutils literal notranslate"><span class="pre">last_automated_dagrun</span></code> is a
<a class="reference internal" href="../_api/airflow/timetables/base/index.html#airflow.timetables.base.DataInterval" title="airflow.timetables.base.DataInterval"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataInterval</span></code></a> instance indicating the data
interval of this DAG's previous non-manually-triggered run, or <code class="docutils literal notranslate"><span class="pre">None</span></code> if this
is the first time ever the DAG is being scheduled. <code class="docutils literal notranslate"><span class="pre">restriction</span></code> encapsulates
how the DAG and its tasks specify the schedule, and contains three attributes:</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">earliest</span></code>: The earliest time the DAG may be scheduled. This is a
<code class="docutils literal notranslate"><span class="pre">pendulum.DateTime</span></code> calculated from all the <code class="docutils literal notranslate"><span class="pre">start_date</span></code> arguments from
the DAG and its tasks, or <code class="docutils literal notranslate"><span class="pre">None</span></code> if there are no <code class="docutils literal notranslate"><span class="pre">start_date</span></code> arguments
found at all.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">latest</span></code>: Similar to <code class="docutils literal notranslate"><span class="pre">earliest</span></code>, this is the latest time the DAG may be
scheduled, calculated from <code class="docutils literal notranslate"><span class="pre">end_date</span></code> arguments.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">catchup</span></code>: A boolean reflecting the DAG's <code class="docutils literal notranslate"><span class="pre">catchup</span></code> argument.</p></li>
</ul>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Both <code class="docutils literal notranslate"><span class="pre">earliest</span></code> and <code class="docutils literal notranslate"><span class="pre">latest</span></code> apply to the DAG run's logical date
(the <em>start</em> of the data interval), not when the run will be scheduled
(usually after the end of the data interval).</p>
</div>
<p>If there was a run scheduled previously, we should now schedule for the next
weekday, i.e. plus one day if the previous run was on Monday through Thursday,
or three days if it was on Friday. If there was not a previous scheduled run,
however, we pick the next workday's midnight after <code class="docutils literal notranslate"><span class="pre">restriction.earliest</span></code>
(unless it <em>is</em> a workday's midnight; in which case it's used directly).
<code class="docutils literal notranslate"><span class="pre">restriction.catchup</span></code> also needs to be considered---if it's <code class="docutils literal notranslate"><span class="pre">False</span></code>, we
can't schedule before the current time, even if <code class="docutils literal notranslate"><span class="pre">start_date</span></code> values are in the
past. Finally, if our calculated data interval is later than
<code class="docutils literal notranslate"><span class="pre">restriction.latest</span></code>, we must respect it and not schedule a run by returning
<code class="docutils literal notranslate"><span class="pre">None</span></code>.</p>
<p>If we decide to schedule a run, we need to describe it with a
<a class="reference internal" href="../_api/airflow/timetables/base/index.html#airflow.timetables.base.DagRunInfo" title="airflow.timetables.base.DagRunInfo"><code class="xref py py-class docutils literal notranslate"><span class="pre">DagRunInfo</span></code></a>. This type has two arguments and
attributes:</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">data_interval</span></code>: A <a class="reference internal" href="../_api/airflow/timetables/base/index.html#airflow.timetables.base.DataInterval" title="airflow.timetables.base.DataInterval"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataInterval</span></code></a> instance
describing the next run's data interval.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">run_after</span></code>: A <code class="docutils literal notranslate"><span class="pre">pendulum.DateTime</span></code> instance that tells the scheduler when
the DAG run can be scheduled.</p></li>
</ul>
<p>A <code class="docutils literal notranslate"><span class="pre">DagRunInfo</span></code> can be created like this:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">info</span> <span class="o">=</span> <span class="n">DagRunInfo</span><span class="p">(</span>
<span class="n">data_interval</span><span class="o">=</span><span class="n">DataInterval</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="n">start</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="n">end</span><span class="p">),</span>
<span class="n">run_after</span><span class="o">=</span><span class="n">run_after</span><span class="p">,</span>
<span class="p">)</span>
</pre></div>
</div>
<p>Since we typically want to schedule a run as soon as the data interval ends,
<code class="docutils literal notranslate"><span class="pre">end</span></code> and <code class="docutils literal notranslate"><span class="pre">run_after</span></code> above are generally the same. <code class="docutils literal notranslate"><span class="pre">DagRunInfo</span></code> therefore
provides a shortcut for this:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">info</span> <span class="o">=</span> <span class="n">DagRunInfo</span><span class="o">.</span><span class="n">interval</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="n">start</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="n">end</span><span class="p">)</span>
<span class="k">assert</span> <span class="n">info</span><span class="o">.</span><span class="n">data_interval</span><span class="o">.</span><span class="n">end</span> <span class="o">==</span> <span class="n">info</span><span class="o">.</span><span class="n">run_after</span> <span class="c1"># Always True.</span>
</pre></div>
</div>
<p>For reference, here's our plugin and DAG files in their entirety:</p>
<div class="example-block-wrapper docutils container">
<p class="example-header example-header--with-button"><span class="example-title">airflow/example_dags/plugins/workday.py</span><a class="example-header-button viewcode-button reference internal" href="../_modules/airflow/example_dags/plugins/workday.html"><span class="viewcode-link">[source]</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">timedelta</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Optional</span>
<span class="kn">from</span> <span class="nn">pendulum</span> <span class="kn">import</span> <span class="n">Date</span><span class="p">,</span> <span class="n">DateTime</span><span class="p">,</span> <span class="n">Time</span><span class="p">,</span> <span class="n">timezone</span>
<span class="kn">from</span> <span class="nn">airflow.plugins_manager</span> <span class="kn">import</span> <span class="n">AirflowPlugin</span>
<span class="kn">from</span> <span class="nn">airflow.timetables.base</span> <span class="kn">import</span> <span class="n">DagRunInfo</span><span class="p">,</span> <span class="n">DataInterval</span><span class="p">,</span> <span class="n">TimeRestriction</span><span class="p">,</span> <span class="n">Timetable</span>
<span class="n">UTC</span> <span class="o">=</span> <span class="n">timezone</span><span class="p">(</span><span class="s2">&quot;UTC&quot;</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">AfterWorkdayTimetable</span><span class="p">(</span><span class="n">Timetable</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">infer_manual_data_interval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">run_after</span><span class="p">:</span> <span class="n">DateTime</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataInterval</span><span class="p">:</span>
<span class="n">weekday</span> <span class="o">=</span> <span class="n">run_after</span><span class="o">.</span><span class="n">weekday</span><span class="p">()</span>
<span class="k">if</span> <span class="n">weekday</span> <span class="ow">in</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">6</span><span class="p">):</span> <span class="c1"># Monday and Sunday -- interval is last Friday.</span>
<span class="n">days_since_friday</span> <span class="o">=</span> <span class="p">(</span><span class="n">run_after</span><span class="o">.</span><span class="n">weekday</span><span class="p">()</span> <span class="o">-</span> <span class="mi">4</span><span class="p">)</span> <span class="o">%</span> <span class="mi">7</span>
<span class="n">delta</span> <span class="o">=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="n">days_since_friday</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span> <span class="c1"># Otherwise the interval is yesterday.</span>
<span class="n">delta</span> <span class="o">=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">start</span> <span class="o">=</span> <span class="n">DateTime</span><span class="o">.</span><span class="n">combine</span><span class="p">((</span><span class="n">run_after</span> <span class="o">-</span> <span class="n">delta</span><span class="p">)</span><span class="o">.</span><span class="n">date</span><span class="p">(),</span> <span class="n">Time</span><span class="o">.</span><span class="n">min</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tzinfo</span><span class="o">=</span><span class="n">UTC</span><span class="p">)</span>
<span class="k">return</span> <span class="n">DataInterval</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="n">start</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="p">(</span><span class="n">start</span> <span class="o">+</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)))</span>
<span class="k">def</span> <span class="nf">next_dagrun_info</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span>
<span class="o">*</span><span class="p">,</span>
<span class="n">last_automated_data_interval</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">DataInterval</span><span class="p">],</span>
<span class="n">restriction</span><span class="p">:</span> <span class="n">TimeRestriction</span><span class="p">,</span>
<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Optional</span><span class="p">[</span><span class="n">DagRunInfo</span><span class="p">]:</span>
<span class="k">if</span> <span class="n">last_automated_data_interval</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span> <span class="c1"># There was a previous run on the regular schedule.</span>
<span class="n">last_start</span> <span class="o">=</span> <span class="n">last_automated_data_interval</span><span class="o">.</span><span class="n">start</span>
<span class="n">last_start_weekday</span> <span class="o">=</span> <span class="n">last_start</span><span class="o">.</span><span class="n">weekday</span><span class="p">()</span>
<span class="k">if</span> <span class="mi">0</span> <span class="o">&lt;=</span> <span class="n">last_start_weekday</span> <span class="o">&lt;</span> <span class="mi">4</span><span class="p">:</span> <span class="c1"># Last run on Monday through Thursday -- next is tomorrow.</span>
<span class="n">delta</span> <span class="o">=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span> <span class="c1"># Last run on Friday -- skip to next Monday.</span>
<span class="n">delta</span> <span class="o">=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span> <span class="o">-</span> <span class="n">last_start_weekday</span><span class="p">))</span>
<span class="n">next_start</span> <span class="o">=</span> <span class="n">DateTime</span><span class="o">.</span><span class="n">combine</span><span class="p">((</span><span class="n">last_start</span> <span class="o">+</span> <span class="n">delta</span><span class="p">)</span><span class="o">.</span><span class="n">date</span><span class="p">(),</span> <span class="n">Time</span><span class="o">.</span><span class="n">min</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tzinfo</span><span class="o">=</span><span class="n">UTC</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span> <span class="c1"># This is the first ever run on the regular schedule.</span>
<span class="n">next_start</span> <span class="o">=</span> <span class="n">restriction</span><span class="o">.</span><span class="n">earliest</span>
<span class="k">if</span> <span class="n">next_start</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> <span class="c1"># No start_date. Don&#39;t schedule.</span>
<span class="k">return</span> <span class="kc">None</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">restriction</span><span class="o">.</span><span class="n">catchup</span><span class="p">:</span>
<span class="c1"># If the DAG has catchup=False, today is the earliest to consider.</span>
<span class="n">next_start</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="n">next_start</span><span class="p">,</span> <span class="n">DateTime</span><span class="o">.</span><span class="n">combine</span><span class="p">(</span><span class="n">Date</span><span class="o">.</span><span class="n">today</span><span class="p">(),</span> <span class="n">Time</span><span class="o">.</span><span class="n">min</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tzinfo</span><span class="o">=</span><span class="n">UTC</span><span class="p">))</span>
<span class="k">elif</span> <span class="n">next_start</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">!=</span> <span class="n">Time</span><span class="o">.</span><span class="n">min</span><span class="p">:</span>
<span class="c1"># If earliest does not fall on midnight, skip to the next day.</span>
<span class="n">next_day</span> <span class="o">=</span> <span class="n">next_start</span><span class="o">.</span><span class="n">date</span><span class="p">()</span> <span class="o">+</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">next_start</span> <span class="o">=</span> <span class="n">DateTime</span><span class="o">.</span><span class="n">combine</span><span class="p">(</span><span class="n">next_day</span><span class="p">,</span> <span class="n">Time</span><span class="o">.</span><span class="n">min</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tzinfo</span><span class="o">=</span><span class="n">UTC</span><span class="p">)</span>
<span class="n">next_start_weekday</span> <span class="o">=</span> <span class="n">next_start</span><span class="o">.</span><span class="n">weekday</span><span class="p">()</span>
<span class="k">if</span> <span class="n">next_start_weekday</span> <span class="ow">in</span> <span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">):</span> <span class="c1"># If next start is in the weekend, go to next Monday.</span>
<span class="n">delta</span> <span class="o">=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span> <span class="o">-</span> <span class="n">next_start_weekday</span><span class="p">))</span>
<span class="n">next_start</span> <span class="o">=</span> <span class="n">next_start</span> <span class="o">+</span> <span class="n">delta</span>
<span class="k">if</span> <span class="n">restriction</span><span class="o">.</span><span class="n">latest</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">next_start</span> <span class="o">&gt;</span> <span class="n">restriction</span><span class="o">.</span><span class="n">latest</span><span class="p">:</span>
<span class="k">return</span> <span class="kc">None</span> <span class="c1"># Over the DAG&#39;s scheduled end; don&#39;t schedule.</span>
<span class="k">return</span> <span class="n">DagRunInfo</span><span class="o">.</span><span class="n">interval</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="n">next_start</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="p">(</span><span class="n">next_start</span> <span class="o">+</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)))</span>
<span class="k">class</span> <span class="nc">WorkdayTimetablePlugin</span><span class="p">(</span><span class="n">AirflowPlugin</span><span class="p">):</span>
<span class="n">name</span> <span class="o">=</span> <span class="s2">&quot;workday_timetable_plugin&quot;</span>
<span class="n">timetables</span> <span class="o">=</span> <span class="p">[</span><span class="n">AfterWorkdayTimetable</span><span class="p">]</span>
</pre></div>
</div>
</div>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pendulum</span>
<span class="kn">from</span> <span class="nn">airflow</span> <span class="kn">import</span> <span class="n">DAG</span>
<span class="kn">from</span> <span class="nn">airflow.example_dags.plugins.workday</span> <span class="kn">import</span> <span class="n">AfterWorkdayTimetable</span>
<span class="kn">from</span> <span class="nn">airflow.operators.dummy</span> <span class="kn">import</span> <span class="n">DummyOperator</span>
<span class="k">with</span> <span class="n">DAG</span><span class="p">(</span>
<span class="n">dag_id</span><span class="o">=</span><span class="s2">&quot;example_workday_timetable&quot;</span><span class="p">,</span>
<span class="n">start_date</span><span class="o">=</span><span class="n">pendulum</span><span class="o">.</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2021</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">tz</span><span class="o">=</span><span class="s2">&quot;UTC&quot;</span><span class="p">),</span>
<span class="n">timetable</span><span class="o">=</span><span class="n">AfterWorkdayTimetable</span><span class="p">(),</span>
<span class="n">tags</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;example&quot;</span><span class="p">,</span> <span class="s2">&quot;timetable&quot;</span><span class="p">],</span>
<span class="p">)</span> <span class="k">as</span> <span class="n">dag</span><span class="p">:</span>
<span class="n">DummyOperator</span><span class="p">(</span><span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;run_this&quot;</span><span class="p">)</span>
</pre></div>
</div>
</div>
<div class="section" id="parameterized-timetables">
<h2>Parameterized Timetables<a class="headerlink" href="#parameterized-timetables" title="Permalink to this headline"></a></h2>
<p>Sometimes we need to pass some run-time arguments to the timetable. Continuing
with our <code class="docutils literal notranslate"><span class="pre">AfterWorkdayTimetable</span></code> example, maybe we have DAGs running on
different timezones, and we want to schedule some DAGs at 8am the next day,
instead of on midnight. Instead of creating a separate timetable for each
purpose, we'd want to do something like:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">class</span> <span class="nc">SometimeAfterWorkdayTimetable</span><span class="p">(</span><span class="n">Timetable</span><span class="p">):</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">schedule_at</span><span class="p">:</span> <span class="n">Time</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_schedule_at</span> <span class="o">=</span> <span class="n">schedule_at</span>
<span class="k">def</span> <span class="nf">next_dagrun_info</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">last_automated_dagrun</span><span class="p">,</span> <span class="n">restriction</span><span class="p">):</span>
<span class="o">...</span>
<span class="n">end</span> <span class="o">=</span> <span class="n">start</span> <span class="o">+</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="k">return</span> <span class="n">DagRunInfo</span><span class="p">(</span>
<span class="n">data_interval</span><span class="o">=</span><span class="n">DataInterval</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="n">start</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="n">end</span><span class="p">),</span>
<span class="n">run_after</span><span class="o">=</span><span class="n">DateTime</span><span class="o">.</span><span class="n">combine</span><span class="p">(</span><span class="n">end</span><span class="o">.</span><span class="n">date</span><span class="p">(),</span> <span class="bp">self</span><span class="o">.</span><span class="n">_schedule_at</span><span class="p">),</span>
<span class="p">)</span>
</pre></div>
</div>
<p>However, since the timetable is a part of the DAG, we need to tell Airflow how
to serialize it with the context we provide in <code class="docutils literal notranslate"><span class="pre">__init__</span></code>. This is done by
implementing two additional methods on our timetable class:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">class</span> <span class="nc">SometimeAfterWorkdayTimetable</span><span class="p">(</span><span class="n">Timetable</span><span class="p">):</span>
<span class="o">...</span>
<span class="k">def</span> <span class="nf">serialize</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]:</span>
<span class="k">return</span> <span class="p">{</span><span class="s2">&quot;schedule_at&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_schedule_at</span><span class="o">.</span><span class="n">isoformat</span><span class="p">()}</span>
<span class="nd">@classmethod</span>
<span class="k">def</span> <span class="nf">deserialize</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">value</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Timetable</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">cls</span><span class="p">(</span><span class="n">Time</span><span class="o">.</span><span class="n">fromisoformat</span><span class="p">(</span><span class="n">value</span><span class="p">[</span><span class="s2">&quot;schedule_at&quot;</span><span class="p">]))</span>
</pre></div>
</div>
<p>When the DAG is being serialized, <code class="docutils literal notranslate"><span class="pre">serialize</span></code> is called to obtain a
JSON-serializable value. That value is passed to <code class="docutils literal notranslate"><span class="pre">deserialize</span></code> when the
serialized DAG is accessed by the scheduler to reconstruct the timetable.</p>
</div>
<div class="section" id="timetable-display-in-ui">
<h2>Timetable Display in UI<a class="headerlink" href="#timetable-display-in-ui" title="Permalink to this headline"></a></h2>
<p>By default, a custom timetable is displayed by their class name in the UI (e.g.
the <em>Schedule</em> column in the &quot;DAGs&quot; table. It is possible to customize this
by overriding the <code class="docutils literal notranslate"><span class="pre">summary</span></code> property. This is especially useful for
parameterized timetables to include arguments provided in <code class="docutils literal notranslate"><span class="pre">__init__</span></code>. For
our <code class="docutils literal notranslate"><span class="pre">SometimeAfterWorkdayTimetable</span></code> class, for example, we could have:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="nd">@property</span>
<span class="k">def</span> <span class="nf">summary</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
<span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;after each workday, at </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_schedule_at</span><span class="si">}</span><span class="s2">&quot;</span>
</pre></div>
</div>
<p>So for a DAG declared like this:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <span class="n">DAG</span><span class="p">(</span>
<span class="n">timetable</span><span class="o">=</span><span class="n">SometimeAfterWorkdayTimetable</span><span class="p">(</span><span class="n">Time</span><span class="p">(</span><span class="mi">8</span><span class="p">)),</span> <span class="c1"># 8am.</span>
<span class="o">...</span><span class="p">,</span>
<span class="p">)</span> <span class="k">as</span> <span class="n">dag</span><span class="p">:</span>
<span class="o">...</span>
</pre></div>
</div>
<p>The <em>Schedule</em> column would say <code class="docutils literal notranslate"><span class="pre">after</span> <span class="pre">each</span> <span class="pre">workday,</span> <span class="pre">at</span> <span class="pre">08:00:00</span></code>.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<dl class="simple">
<dt>Module <a class="reference internal" href="../_api/airflow/timetables/base/index.html#module-airflow.timetables.base" title="airflow.timetables.base"><code class="xref py py-mod docutils literal notranslate"><span class="pre">airflow.timetables.base</span></code></a></dt><dd><p>The public interface is heavily documented to explain what should be
implemented by subclasses.</p>
</dd>
</dl>
</div>
</div>
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<li><a class="reference internal" href="#timetable-registration">Timetable Registration</a></li>
<li><a class="reference internal" href="#define-scheduling-logic">Define Scheduling Logic</a></li>
<li><a class="reference internal" href="#parameterized-timetables">Parameterized Timetables</a></li>
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