Use the state_graph.py for all states diagrams

Switch to using the `state_graph.py` and dot output
as the source of all of the state diagrams (this
makes it easy for anyone to recreate them by just
running the script in the tools directory).

Also update the state diagram creator to have engine
states as well as retry states and replaces all
existing state diagrams with the updated prettified
versions.

Also adjusts some nits around wording and grammar that
were encountered during this updating process.

Change-Id: Ia783aed6c4136763e1e34cbd0b3e57ffb1109abe
This commit is contained in:
Joshua Harlow 2014-07-04 22:06:02 -07:00
parent 3db326a68c
commit e54cb21d55
12 changed files with 205 additions and 108 deletions

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@ -1,13 +0,0 @@
# Created using web sequence diagrams.
#
# https://www.websequencediagrams.com/
note over RESUMING
Running starts here
end note
RESUMING->SCHEDULING: Resumes and \nschedules initial tasks.
SCHEDULING->WAITING: Waits for any \nfuture<task> to complete.
WAITING->WAITING: Continue waiting for \nfuture<task> to complete.
WAITING->ANALYZING: Analyze future<task> results.
ANALYZING->SCHEDULING: Schedules next set of tasks.

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@ -7,46 +7,40 @@ States
Engine
======
.. image:: img/engine_states.png
:height: 265px
:align: right
.. image:: img/engine_states.svg
:width: 660px
:align: left
:alt: Action engine state transitions
Executing
---------
**RESUMING** - Prepares flow & atoms to be resumed.
**RESUMING** - Prepare flow to be resumed.
**SCHEDULING** - Schedules and submits atoms to be worked on.
**SCHEDULING** - Schedule nodes to be worked on.
**WAITING** - Wait for atoms to finish executing.
**WAITING** - Wait for nodes to finish executing.
**ANALYZING** - Analyzes and processes result/s of atom completion.
**ANALYZING** - Analyze and process result/s of node completion.
**SUCCESS** - Completed successfully.
End
---
**SUCCESS** - Engine completed successfully.
**REVERTED** - Engine reverting was induced and all nodes were not completed
**REVERTED** - Reverting was induced and all atoms were **not** completed
successfully.
**SUSPENDED** - Engine was suspended while running..
**SUSPENDED** - Suspended while running.
Flow
====
.. image:: img/flow_states.png
:height: 400px
:align: right
.. image:: img/flow_states.svg
:width: 660px
:align: left
:alt: Flow state transitions
**PENDING** - A flow starts its life in this state.
**RUNNING** - In this state flow makes a progress, executes and/or reverts its
tasks.
atoms.
**SUCCESS** - Once all tasks have finished successfully the flow transitions to
**SUCCESS** - Once all atoms have finished successfully the flow transitions to
the SUCCESS state.
**REVERTED** - The flow transitions to this state when it has been reverted
@ -57,14 +51,14 @@ after the failure.
**SUSPENDING** - In the RUNNING state the flow can be suspended. When this
happens, flow transitions to the SUSPENDING state immediately. In that state
the engine running the flow waits for running tasks to finish (since the engine
can not preempt tasks that are active).
the engine running the flow waits for running atoms to finish (since the engine
can not preempt atoms that are active).
**SUSPENDED** - When no tasks are running and all results received so far are
**SUSPENDED** - When no atoms are running and all results received so far are
saved, the flow transitions from the SUSPENDING state to SUSPENDED. Also it may
go to the SUCCESS state if all tasks were in fact ran, or to the REVERTED state
if the flow was reverting and all tasks were reverted while the engine was
waiting for running tasks to finish, or to the FAILURE state if tasks were run
go to the SUCCESS state if all atoms were in fact ran, or to the REVERTED state
if the flow was reverting and all atoms were reverted while the engine was
waiting for running atoms to finish, or to the FAILURE state if atoms were run
or reverted and some of them failed.
**RESUMING** - When the flow is interrupted 'in a hard way' (e.g. server
@ -79,24 +73,25 @@ From the SUCCESS, FAILURE or REVERTED states the flow can be ran again (and
thus it goes back into the RUNNING state). One of the possible use cases for
this transition is to allow for alteration of a flow or flow details associated
with a previously ran flow after the flow has finished, and client code wants
to ensure that each task from this new (potentially updated) flow has its
to ensure that each atom from this new (potentially updated) flow has its
chance to run.
.. note::
The current code also contains strong checks during each flow state
transition using the model described above and raises the InvalidState
exception if an invalid transition is attempted. This exception being
triggered usually means there is some kind of bug in the engine code or some
type of misuse/state violation is occurring, and should be reported as such.
transition using the model described above and raises the
:py:class:`~taskflow.exceptions.InvalidState` exception if an invalid
transition is attempted. This exception being triggered usually means there
is some kind of bug in the engine code or some type of misuse/state violation
is occurring, and should be reported as such.
Task
====
.. image:: img/task_states.png
:height: 265px
:align: right
.. image:: img/task_states.svg
:width: 660px
:align: left
:alt: Task state transitions
**PENDING** - When a task is added to a flow, it starts in the PENDING state,
@ -105,7 +100,8 @@ on to complete. The task transitions to the PENDING state after it was
reverted and its flow was restarted or retried.
**RUNNING** - When flow starts to execute the task, it transitions to the
RUNNING state, and stays in this state until its execute() method returns.
RUNNING state, and stays in this state until its
:py:meth:`execute() <taskflow.task.BaseTask.execute>` method returns.
**SUCCESS** - The task transitions to this state after it was finished
successfully.
@ -115,20 +111,20 @@ error. When the flow containing this task is being reverted, all its tasks are
walked in particular order.
**REVERTING** - The task transitions to this state when the flow starts to
revert it and its revert() method is called. Only tasks in the SUCCESS or
FAILURE state can be reverted. If this method fails (raises exception), task
goes to the FAILURE state.
revert it and its :py:meth:`revert() <taskflow.task.BaseTask.revert>` method
is called. Only tasks in the SUCCESS or FAILURE state can be reverted. If this
method fails (raises exception), the task goes to the FAILURE state.
**REVERTED** - The task that has been reverted appears it this state.
**REVERTED** - A task that has been reverted appears in this state.
Retry
=====
.. image:: img/retry_states.png
:height: 275px
:align: right
:alt: Task state transitions
.. image:: img/retry_states.svg
:width: 660px
:align: left
:alt: Retry state transitions
Retry has the same states as a task and one additional state.
@ -138,7 +134,8 @@ on to complete. The retry transitions to the PENDING state after it was
reverted and its flow was restarted or retried.
**RUNNING** - When flow starts to execute the retry, it transitions to the
RUNNING state, and stays in this state until its execute() method returns.
RUNNING state, and stays in this state until its
:py:meth:`execute() <taskflow.retry.Retry.execute>` method returns.
**SUCCESS** - The retry transitions to this state after it was finished
successfully.
@ -148,14 +145,12 @@ error. When the flow containing this retry is being reverted, all its tasks are
walked in particular order.
**REVERTING** - The retry transitions to this state when the flow starts to
revert it and its revert() method is called. Only retries in SUCCESS or FAILURE
state can be reverted. If this method fails (raises exception), task goes to
the FAILURE.
revert it and its :py:meth:`revert() <taskflow.retry.Retry.revert>` method is
called. Only retries in SUCCESS or FAILURE state can be reverted. If this
method fails (raises exception), the retry goes to the FAILURE state.
**REVERTED** - The retry that has been reverted appears it this state.
**REVERTED** - A retry that has been reverted appears in this state.
**RETRYING** - If flow that is managed by the current retry was failed and
reverted, the retry prepares it for the next run and transitions to the
reverted, the engine prepares it for the next run and transitions to the
RETRYING state.

32
tools/generate_states.sh Executable file
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@ -0,0 +1,32 @@
#!/bin/bash
set -u
xsltproc=`which xsltproc`
if [ -z "$xsltproc" ]; then
echo "Please install xsltproc before continuing."
exit 1
fi
set -e
if [ ! -d "$PWD/.diagram-tools" ]; then
git clone "https://github.com/vidarh/diagram-tools.git" "$PWD/.diagram-tools"
fi
script_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
img_dir="$script_dir/../doc/source/img"
echo "---- Updating task state diagram ----"
python $script_dir/state_graph.py -t -f /tmp/states.svg
$xsltproc $PWD/.diagram-tools/notugly.xsl /tmp/states.svg > $img_dir/task_states.svg
echo "---- Updating flow state diagram ----"
python $script_dir/state_graph.py -f /tmp/states.svg
$xsltproc $PWD/.diagram-tools/notugly.xsl /tmp/states.svg > $img_dir/flow_states.svg
echo "---- Updating engine state diagram ----"
python $script_dir/state_graph.py -e -f /tmp/states.svg
$xsltproc $PWD/.diagram-tools/notugly.xsl /tmp/states.svg > $img_dir/engine_states.svg
echo "---- Updating retry state diagram ----"
python $script_dir/state_graph.py -r -f /tmp/states.svg
$xsltproc $PWD/.diagram-tools/notugly.xsl /tmp/states.svg > $img_dir/retry_states.svg

137
tools/state_graph.py Normal file → Executable file
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@ -1,5 +1,6 @@
#!/usr/bin/env python
import optparse
import os
import sys
@ -7,41 +8,13 @@ top_dir = os.path.abspath(os.path.join(os.path.dirname(__file__),
os.pardir))
sys.path.insert(0, top_dir)
import optparse
import subprocess
import tempfile
import networkx as nx
# To get this installed you may have to follow:
# https://code.google.com/p/pydot/issues/detail?id=93 (until fixed).
import pydot
from taskflow import states
from taskflow.types import graph as gr
def mini_exec(cmd, ok_codes=(0,)):
stdout = subprocess.PIPE
stderr = subprocess.PIPE
proc = subprocess.Popen(cmd, stdout=stdout, stderr=stderr, stdin=None)
(stdout, stderr) = proc.communicate()
rc = proc.returncode
if rc not in ok_codes:
raise RuntimeError("Could not run %s [%s]\nStderr: %s"
% (cmd, rc, stderr))
return (stdout, stderr)
def make_svg(graph, output_filename, output_format):
# NOTE(harlowja): requires pydot!
gdot = graph.export_to_dot()
if output_format == 'dot':
output = gdot
elif output_format in ('svg', 'svgz', 'png'):
with tempfile.NamedTemporaryFile(suffix=".dot") as fh:
fh.write(gdot)
fh.flush()
cmd = ['dot', '-T%s' % output_format, fh.name]
output, _stderr = mini_exec(cmd)
else:
raise ValueError('Unknown format: %s' % output_filename)
with open(output_filename, "wb") as fh:
fh.write(output)
def main():
@ -52,6 +25,14 @@ def main():
action='store_true',
help="use task state transitions",
default=False)
parser.add_option("-r", "--retries", dest="retries",
action='store_true',
help="use retry state transitions",
default=False)
parser.add_option("-e", "--engines", dest="engines",
action='store_true',
help="use engine state transitions",
default=False)
parser.add_option("-T", "--format", dest="format",
help="output in given format",
default='svg')
@ -60,20 +41,90 @@ def main():
if options.filename is None:
options.filename = 'states.%s' % options.format
g = gr.DiGraph(name="State transitions")
if not options.tasks:
source = states._ALLOWED_FLOW_TRANSITIONS
types = [options.engines, options.retries, options.tasks]
if sum([int(i) for i in types]) > 1:
parser.error("Only one of task/retry/engines may be specified.")
disallowed = set()
start_node = states.PENDING
if options.tasks:
source = list(states._ALLOWED_TASK_TRANSITIONS)
source_type = "Tasks"
disallowed.add(states.RETRYING)
elif options.retries:
source = list(states._ALLOWED_TASK_TRANSITIONS)
source_type = "Retries"
elif options.engines:
# TODO(harlowja): place this in states.py
source = [
(states.RESUMING, states.SCHEDULING),
(states.SCHEDULING, states.WAITING),
(states.WAITING, states.ANALYZING),
(states.ANALYZING, states.SCHEDULING),
(states.ANALYZING, states.WAITING),
]
for u in (states.SCHEDULING, states.ANALYZING):
for v in (states.SUSPENDED, states.SUCCESS, states.REVERTED):
source.append((u, v))
source_type = "Engines"
start_node = states.RESUMING
else:
source = states._ALLOWED_TASK_TRANSITIONS
source = list(states._ALLOWED_FLOW_TRANSITIONS)
source_type = "Flow"
transitions = nx.DiGraph()
for (u, v) in source:
if not g.has_node(u):
g.add_node(u)
if not g.has_node(v):
g.add_node(v)
g.add_edge(u, v)
make_svg(g, options.filename, options.format)
if u not in disallowed:
transitions.add_node(u)
if v not in disallowed:
transitions.add_node(v)
for (u, v) in source:
if not transitions.has_node(u) or not transitions.has_node(v):
continue
transitions.add_edge(u, v)
graph_name = "%s states" % source_type
g = pydot.Dot(graph_name=graph_name, rankdir='LR',
nodesep='0.25', overlap='false',
ranksep="0.5", size="11x8.5",
splines='true', ordering='in')
node_attrs = {
'fontsize': '11',
}
nodes = {}
nodes_order = []
edges_added = []
for (u, v) in nx.bfs_edges(transitions, source=start_node):
if u not in nodes:
nodes[u] = pydot.Node(u, **node_attrs)
g.add_node(nodes[u])
nodes_order.append(u)
if v not in nodes:
nodes[v] = pydot.Node(v, **node_attrs)
g.add_node(nodes[v])
nodes_order.append(v)
for u in nodes_order:
for v in transitions.successors_iter(u):
if (u, v) not in edges_added:
g.add_edge(pydot.Edge(nodes[u], nodes[v]))
edges_added.append((u, v))
start = pydot.Node("__start__", shape="point", width="0.1",
xlabel='start', fontcolor='green', **node_attrs)
g.add_node(start)
g.add_edge(pydot.Edge(start, nodes[start_node], style='dotted'))
print("*" * len(graph_name))
print(graph_name)
print("*" * len(graph_name))
print(g.to_string().strip())
g.write(options.filename, format=options.format)
print("Created %s at '%s'" % (options.format, options.filename))
# To make the svg more pretty use the following:
# $ xsltproc ../diagram-tools/notugly.xsl ./states.svg > pretty-states.svg
# Get diagram-tools from https://github.com/vidarh/diagram-tools.git
if __name__ == '__main__':
main()