Add a simplistic hello world example

Change-Id: I1d6e6535ab09d7f6c9d9ca3e2663983644b7a8a1

1 files changed, 110 insertions, 0 deletions

diff --git a/taskflow/examples/hello_world.py b/taskflow/examples/hello_world.py
new file mode 100644
index 0000000..22f6a3b
--- /dev/null
+++ b/taskflow/examples/hello_world.py
@@ -0,0 +1,110 @@
+# -*- coding: utf-8 -*-
+
+#    Copyright (C) 2014 Yahoo! Inc. All Rights Reserved.
+#
+#    Licensed under the Apache License, Version 2.0 (the "License"); you may
+#    not use this file except in compliance with the License. You may obtain
+#    a copy of the License at
+#
+#         http://www.apache.org/licenses/LICENSE-2.0
+#
+#    Unless required by applicable law or agreed to in writing, software
+#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#    License for the specific language governing permissions and limitations
+#    under the License.
+
+import logging
+import os
+import sys
+
+logging.basicConfig(level=logging.ERROR)
+
+top_dir = os.path.abspath(os.path.join(os.path.dirname(__file__),
+                                       os.pardir,
+                                       os.pardir))
+sys.path.insert(0, top_dir)
+
+try:
+    import eventlet  # noqa
+    EVENTLET_AVAILABLE = True
+except ImportError:
+    EVENTLET_AVAILABLE = False
+
+from taskflow import engines
+from taskflow.patterns import linear_flow as lf
+from taskflow.patterns import unordered_flow as uf
+from taskflow import task
+from taskflow.types import futures
+
+
+# INTRO: This is the defacto hello world equivalent for taskflow; it shows how
+# a overly simplistic workflow can be created that runs using different
+# engines using different styles of execution (all can be used to run in
+# parallel if a workflow is provided that is parallelizable).
+
+class PrinterTask(task.Task):
+    def __init__(self, name, show_name=True, inject=None):
+        super(PrinterTask, self).__init__(name, inject=inject)
+        self._show_name = show_name
+
+    def execute(self, output):
+        if self._show_name:
+            print("%s: %s" % (self.name, output))
+        else:
+            print(output)
+
+
+# This will be the work that we want done, which for this example is just to
+# print 'hello world' (like a song) using different tasks and different
+# execution models.
+song = lf.Flow("beats")
+
+# Unordered flows when ran can be ran in parallel; and a chorus is everyone
+# singing at once of course!
+hi_chorus = uf.Flow('hello')
+world_chorus = uf.Flow('world')
+for (name, hello, world) in [('bob', 'hello', 'world'),
+                             ('joe', 'hellooo', 'worllllld'),
+                             ('sue', "helloooooo!", 'wooorllld!')]:
+    hi_chorus.add(PrinterTask("%s@hello" % name,
+                              # This will show up to the execute() method of
+                              # the task as the argument named 'output' (which
+                              # will allow us to print the character we want).
+                              inject={'output': hello}))
+    world_chorus.add(PrinterTask("%s@world" % name,
+                                 inject={'output': world}))
+
+# The composition starts with the conductor and then runs in sequence with
+# the chorus running in parallel, but no matter what the 'hello' chorus must
+# always run before the 'world' chorus (otherwise the world will fall apart).
+song.add(PrinterTask("conductor@begin",
+                     show_name=False, inject={'output': "*ding*"}),
+         hi_chorus,
+         world_chorus,
+         PrinterTask("conductor@end",
+                     show_name=False, inject={'output': "*dong*"}))
+
+# Run in parallel using eventlet green threads...
+if EVENTLET_AVAILABLE:
+    with futures.GreenThreadPoolExecutor() as executor:
+        e = engines.load(song, executor=executor, engine='parallel')
+        e.run()
+
+
+# Run in parallel using real threads...
+with futures.ThreadPoolExecutor(max_workers=1) as executor:
+    e = engines.load(song, executor=executor, engine='parallel')
+    e.run()
+
+
+# Run in parallel using external processes...
+with futures.ProcessPoolExecutor(max_workers=1) as executor:
+    e = engines.load(song, executor=executor, engine='parallel')
+    e.run()
+
+
+# Run serially (aka, if the workflow could have been ran in parallel, it will
+# not be when ran in this mode)...
+e = engines.load(song, engine='serial')
+e.run()