132 lines
5.3 KiB
Python
132 lines
5.3 KiB
Python
import os, json, random, io, logging
|
|
|
|
from pulp import LpProblem, LpVariable, LpMinimize, LpStatus, lpSum
|
|
|
|
from helpers import aws_helper, tar_helper, csv_helper, service_helper, solver_helper
|
|
from lib.errors.item_generation_error import ItemGenerationError
|
|
|
|
from models.solver_run import SolverRun
|
|
from models.solution import Solution
|
|
from models.form import Form
|
|
from models.item import Item
|
|
|
|
from services.base import Base
|
|
|
|
class LoftService(Base):
|
|
def process(self):
|
|
try:
|
|
self.solver_run = self.create_solver_run_from_attributes()
|
|
self.solver_run.generate_bundles()
|
|
self.solution = self.generate_solution()
|
|
self.result = self.stream_to_s3_bucket()
|
|
except ItemGenerationError as error:
|
|
self.result = self.stream_to_s3_bucket(error)
|
|
except TypeError as error:
|
|
logging.error(error)
|
|
self.result = self.stream_to_s3_bucket(ItemGenerationError("Provided params causing error in calculation results"))
|
|
|
|
def create_solver_run_from_attributes(self):
|
|
logging.info('Retrieving attributes from message...')
|
|
# get s3 object
|
|
self.key = aws_helper.get_key_from_message(self.source)
|
|
s3_object = aws_helper.get_object(self.key, aws_helper.get_bucket_from_message(self.source))
|
|
|
|
# convert to tar
|
|
self.tar = tar_helper.raw_to_tar(s3_object)
|
|
|
|
# get attributes file and convert to dict
|
|
attributes = json.loads(tar_helper.extract_file_from_tar(self.tar , 'solver_run_attributes.json').read())
|
|
|
|
# create solver run
|
|
solver_run = SolverRun.parse_obj(attributes)
|
|
|
|
# get items file and convert to dict
|
|
items_csv = tar_helper.extract_file_from_tar(self.tar , 'items.csv')
|
|
items_csv_reader = csv_helper.file_stream_reader(items_csv)
|
|
|
|
# add items to solver run
|
|
for item in service_helper.items_csv_to_dict(items_csv_reader, solver_run):
|
|
solver_run.items.append(Item.parse_obj(item))
|
|
|
|
logging.info('Processed Attributes...')
|
|
|
|
return solver_run
|
|
|
|
def generate_solution(self):
|
|
# unsolved solution
|
|
solution = Solution(
|
|
response_id=random.randint(100, 5000),
|
|
forms=[]
|
|
)
|
|
|
|
# counter for number of forms
|
|
f = 0
|
|
|
|
# iterate for number of forms that require creation
|
|
# currently creates distinc forms with no item overlap
|
|
while f < self.solver_run.total_forms:
|
|
# setup vars
|
|
items = LpVariable.dicts(
|
|
"Item", [item.id for item in self.solver_run.items], lowBound=1, upBound=1, cat='Binary')
|
|
bundles = LpVariable.dicts(
|
|
"Bundle", [bundle.id for bundle in self.solver_run.bundles], lowBound=1, upBound=1, cat='Binary')
|
|
|
|
problem_objection_functions = []
|
|
|
|
# create problem
|
|
problem = LpProblem("ata-form-generate", LpMinimize)
|
|
|
|
# dummy objective function, because it just makes things easier™
|
|
problem += lpSum([items[item.id]
|
|
for item in self.solver_run.items])
|
|
|
|
# constraints
|
|
problem += lpSum([items[item.id]
|
|
for item in self.solver_run.items]) == self.solver_run.total_form_items, 'Total form items'
|
|
|
|
# dynamic constraints
|
|
problem = solver_helper.build_constraints(self.solver_run, problem, items, bundles)
|
|
|
|
# multi-objective constraints
|
|
for target in self.solver_run.objective_function.tif_targets:
|
|
problem += lpSum([item.iif(self.solver_run, target.theta)*items[item.id]
|
|
for item in self.solver_run.items]) >= target.value - 8, f'max tif theta ({target.theta}) target value {target.value}'
|
|
problem += lpSum([item.iif(self.solver_run, target.theta)*items[item.id]
|
|
for item in self.solver_run.items]) <= target.value + 8, f'min tif theta ({target.theta}) target value {target.value}'
|
|
|
|
for target in self.solver_run.objective_function.tcc_targets:
|
|
problem += lpSum([item.irf(self.solver_run, target.theta)*items[item.id]
|
|
for item in self.solver_run.items]) >= target.value - 20, f'max tcc theta ({target.theta}) target value {target.value}'
|
|
problem += lpSum([item.irf(self.solver_run, target.theta)*items[item.id]
|
|
for item in self.solver_run.items]) <= target.value + 20, f'min tcc theta ({target.theta}) target value {target.value}'
|
|
|
|
# solve problem
|
|
problem.solve()
|
|
|
|
# add return items and create as a form
|
|
form_items = service_helper.solution_items(problem.variables(), self.solver_run)
|
|
|
|
# add form to solution
|
|
solution.forms.append(Form.create(form_items, self.solver_run, LpStatus[problem.status]))
|
|
|
|
# successfull form, increment
|
|
f += 1
|
|
|
|
return solution
|
|
|
|
def stream_to_s3_bucket(self, error = None):
|
|
self.file_name = f'{service_helper.key_to_uuid(self.key)}.csv'
|
|
solution_file = None
|
|
# setup writer buffer and write processed forms to file
|
|
buffer = io.StringIO()
|
|
|
|
if error:
|
|
logging.info('Streaming %s error response to s3 bucket - %s', self.file_name, os.environ['S3_PROCESSED_BUCKET'])
|
|
solution_file = service_helper.error_to_file(buffer, error)
|
|
else:
|
|
logging.info('Streaming %s to s3 bucket - %s', self.file_name, os.environ['S3_PROCESSED_BUCKET'])
|
|
solution_file = service_helper.solution_to_file(buffer, self.solver_run.total_form_items, self.solution.forms)
|
|
|
|
# upload generated file to s3 and return result
|
|
return aws_helper.file_stream_upload(solution_file, self.file_name, os.environ['S3_PROCESSED_BUCKET'])
|