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model_run.py
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263 lines (225 loc) · 7.83 KB
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"""
Copyright (c) 2019 Lineate LLC
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software,
and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial
portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED
TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
IN THE SOFTWARE."""
from entities.project import Project
from entities.backlog import Backlog
from entities.taskboard import TaskBoard
from model_parameters import GlobalParameters as g
"""
Class where we've described or simulation model on the high level
"""
class Model(object):
def __init__(self):
"""
Constructor class for new model.
"""
self.board = TaskBoard('Stories Board')
self.project = Project('DataSwitch Core')
self.backlog = Backlog()
return
def run(self):
"""
Controls the main model run. Initialises model and patient arrival and
audit processes. Instigates the run. At end of run calls for an audit
summary and bed occupancy plot
"""
"""
EMPLOYEES REGISTER TO THE PROJECT
Adding 2 QAs with best experience on the project
"""
self.project.qas_register(
count=2, experience=10, available_working_hours=10, board=self.board
)
"""
Adding 1 release master (for our project we have release master as QA)
"""
self.project.qas_register(
count=1,
experience=7,
available_working_hours=10,
board=self.board,
release_master=True,
)
"""
Adding 1 middle QA on the project
"""
self.project.qas_register(
count=1, experience=4, available_working_hours=8, board=self.board
)
"""
Adding 1 new QA to the project
"""
self.project.po_register(count=5, frequency=1, board=self.backlog)
"""
Adding 1 crazy developer
"""
self.project.dev_register(
count=1,
experience=10,
available_working_hours=15,
components=['CM'],
board=self.board,
backlog=self.backlog,
)
"""
Adding 2 UI developers with middle experience
"""
self.project.dev_register(
count=2,
experience=7,
available_working_hours=8,
components=['UI'],
board=self.board,
backlog=self.backlog,
)
"""
Adding 1 UI developer with best experience
"""
self.project.dev_register(
count=1,
experience=10,
available_working_hours=10,
components=['UI'],
board=self.board,
backlog=self.backlog,
)
"""
Adding 2 cross-component developers with best experience
"""
self.project.dev_register(
count=2,
experience=10,
available_working_hours=8,
components=['CM', 'ASE'],
board=self.board,
backlog=self.backlog,
)
"""
Adding 2 single-component developers
"""
self.project.dev_register(
count=2,
experience=7,
available_working_hours=8,
components=['CM'],
board=self.board,
backlog=self.backlog,
)
"""
Adding 2 single component developers with best experience
"""
self.project.dev_register(
count=2,
experience=10,
available_working_hours=8,
components=['ASE'],
board=self.board,
backlog=self.backlog,
)
"""
Adding 1 single component developer
"""
self.project.dev_register(
count=1,
experience=7,
available_working_hours=8,
components=['ASE'],
board=self.board,
backlog=self.backlog,
)
"""
Register processES that will be run into our simulation model
"""
g.env.process(self.increase_growth_backlog())
g.env.process(self.development())
g.env.process(self.testing())
g.env.process(self.uat())
g.env.process(self.time())
# g.env.process(self.release())
"""
Run simulation model.
until parameter = estimated hours for our model.
Here we have 1 working month (8 hours * 5 days on the week * 4 weeks)
"""
g.env.run(until=8 * 5 * 4)
"""
After our simulation is ended we need to know some performance metrics.
For an example we would like to know how much tickets was created/selected from backlog
"""
print(self.board.board)
print(f"Spent {g.env.now} hours")
print(
f'Backlog. Size is \t\t{self.backlog.tickets.__len__()} tickets\n'
f"Backlog. Created \t\t{g.stat_backlog['created']['total']} tickets\n"
)
return
"""
Here and above we would like to describe our simualtion's processes on the project.
For an example we have:
1. Testing (QA accountable for this process)
2. UAT (QA accountable for this process too). Re-checking on staging environment (not optimal process, yeah)
3. Release (We have the Release Manager that also is QA).
4. Increasing Growth Backlog (our product owner is accountable for this process)
5. Development (our developers are accountable for this process)
6. Time (is a static method that should allow us to know - What is day of the week today?
It needs for Release Manager for releases (we would like to release each Monday and Thursday)
"""
def testing(self):
while True:
for qa in self.project.qas:
g.env.process(qa.testing())
yield g.env.timeout(1000000)
return
def uat(self):
while True:
for qa in self.project.qas:
g.env.process(qa.uat())
yield g.env.timeout(1000000)
return
def release(self):
while True:
release_master = self.project.qas[0]
g.env.process(release_master.release())
yield g.env.timeout(1000000)
return
def increase_growth_backlog(self):
while True:
for po in self.project.pos:
g.env.process(po.increase_growth_backlog())
yield g.env.timeout(1000000)
return
def development(self):
while True:
for dev in self.project.devs:
g.env.process(dev.development())
yield g.env.timeout(1000000)
@staticmethod
def time():
while True:
yield g.env.timeout(24)
print(f"Day of the week is {g.dow}\n\n")
g.dow += 1
if g.dow == 6:
g.dow = 1
return
def main():
"""
Code entry point after: if __name__ == '__main__'
Creates model object, and runs model
"""
model = Model()
model.run()
return
# Code entry point. Calls main method.
if __name__ == '__main__':
main()