randomize source bundles and items before each solver run

This commit is contained in:
Adrian Manteza 2022-03-25 21:57:16 +00:00
parent 11a5112812
commit a8396051b6
4 changed files with 42 additions and 44 deletions

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@ -12,7 +12,7 @@ from models.item import Item
from lib.errors.item_generation_error import ItemGenerationError from lib.errors.item_generation_error import ItemGenerationError
def build_constraints(solver_run: SolverRun, problem: LpProblem, def build_constraints(solver_run: SolverRun, problem: LpProblem,
items: list[Item], bundles: list[Bundle]) -> LpProblem: items: list[Item], bundles: list[Bundle], selected_items, selected_bundles) -> LpProblem:
logging.info('Creating Constraints...') logging.info('Creating Constraints...')
try: try:
@ -29,28 +29,28 @@ def build_constraints(solver_run: SolverRun, problem: LpProblem,
problem += lpSum( problem += lpSum(
[ [
len(bundle.items_with_attribute(attribute)) * bundles[bundle.id] for bundle in solver_run.bundles len(bundle.items_with_attribute(attribute)) * bundles[bundle.id] for bundle in selected_bundles
] + ] +
[ [
item.attribute_exists(attribute).real * items[item.id] for item in solver_run.unbundled_items() item.attribute_exists(attribute).real * items[item.id] for item in selected_items
] ]
) >= round(total_form_items * (min / 100)), f'{attribute.id} - {attribute.value} - min' ) >= round(total_form_items * (min / 100)), f'{attribute.id} - {attribute.value} - min'
problem += lpSum( problem += lpSum(
[ [
len(bundle.items_with_attribute(attribute)) * bundles[bundle.id] for bundle in solver_run.bundles len(bundle.items_with_attribute(attribute)) * bundles[bundle.id] for bundle in selected_bundles
] + ] +
[ [
item.attribute_exists(attribute).real * items[item.id] for item in solver_run.unbundled_items() item.attribute_exists(attribute).real * items[item.id] for item in selected_items
] ]
) <= round(total_form_items * (max / 100)), f'{attribute.id} - {attribute.value} - max' ) <= round(total_form_items * (max / 100)), f'{attribute.id} - {attribute.value} - max'
elif attribute.type == 'bundle': elif attribute.type == 'bundle':
logging.info('Bundles Constraint Generating...') logging.info('Bundles Constraint Generating...')
# TODO: account for many different bundle types, since the id condition in L33 could yield duplicates # TODO: account for many different bundle types, since the id condition in L33 could yield duplicates
if solver_run.bundles != None: if selected_bundles != None:
# make sure the total bundles used in generated form is limited between min-max set # make sure the total bundles used in generated form is limited between min-max set
problem += lpSum([ problem += lpSum([
bundles[bundle.id] for bundle in solver_run.bundles bundles[bundle.id] for bundle in selected_bundles
]) == randint(int(constraint.minimum), ]) == randint(int(constraint.minimum),
int(constraint.maximum)) int(constraint.maximum))

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@ -108,7 +108,7 @@ class SolverRun(BaseModel):
constraint.reference_attribute for constraint in self.constraints constraint.reference_attribute for constraint in self.constraints
if constraint.reference_attribute.type == 'bundle') if constraint.reference_attribute.type == 'bundle')
if len(bundle_constraints) > 0: if len(list(bundle_constraints)) > 0:
return [item for item in self.items if item.passage_id == None] return [item for item in self.items if item.passage_id == None]
else: else:
return self.items return self.items

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@ -72,15 +72,9 @@ class LoftService(Base):
form_number = form_count + 1 form_number = form_count + 1
current_drift = 0 # FF Tokyo Drift current_drift = 0 # FF Tokyo Drift
selected_items = [] # adding an element of randomness to the items and bundles used
selected_bundles = [] selected_items = self.solver_run.select_items_by_percent(30)
selected_bundles = self.solver_run.select_bundles_by_percent(
if form_count == 1:
selected_items = self.solver_run.unbundled_items()
selected_bundles = self.solver_run.bundles
else:
selected_items = self.solver_run.select_items_by_percent(30)
selected_bundles = self.solver_run.select_bundles_by_percent(
30) 30)
# setup common Solver variables # setup common Solver variables
@ -108,42 +102,42 @@ class LoftService(Base):
# objective function # objective function
problem += lpSum([ problem += lpSum([
bundle.count * bundles[bundle.id] bundle.count * bundles[bundle.id]
for bundle in self.solver_run.bundles for bundle in selected_bundles
] + [ ] + [
items[item.id] items[item.id]
for item in self.solver_run.unbundled_items() for item in selected_items
]) ])
# Form Constraints # Form Constraints
problem += lpSum( problem += lpSum(
[ [
bundle.count * bundles[bundle.id] bundle.count * bundles[bundle.id]
for bundle in self.solver_run.bundles for bundle in selected_bundles
] + [ ] + [
1 * items[item.id] 1 * items[item.id]
for item in self.solver_run.unbundled_items() for item in selected_items
] ]
) == self.solver_run.total_form_items, f'Total bundle form items for form {form_number}' ) == self.solver_run.total_form_items, f'Total bundle form items for form {form_number}'
# Dynamic constraints.. currently we only support Metadata and Bundles(Cases/Passages) # Dynamic constraints.. currently we only support Metadata and Bundles(Cases/Passages)
problem = solver_helper.build_constraints( problem = solver_helper.build_constraints(
self.solver_run, problem, items, bundles) self.solver_run, problem, items, bundles, selected_items, selected_bundles)
# form uniqueness constraints # form uniqueness constraints
for form in solution.forms: # for form in solution.forms:
form_item_options = [ # form_item_options = [
bundles[bundle.id] # bundles[bundle.id]
for bundle in self.solver_run.bundles # for bundle in selected_bundles
] + [ # ] + [
items[item.id] # items[item.id]
for item in self.solver_run.unbundled_items() # for item in selected_items
] # ]
problem += len( # problem += len(
set(form.solver_variables) # set(form.solver_variables)
& set(form_item_options)) / float( # & set(form_item_options)) / float(
len( # len(
set(form.solver_variables) # set(form.solver_variables)
| set(form_item_options))) * 100 >= 10 # | set(form_item_options))) * 100 >= 10
logging.info('Creating TIF and TCC Elastic constraints') logging.info('Creating TIF and TCC Elastic constraints')
@ -152,21 +146,21 @@ class LoftService(Base):
problem += lpSum([ problem += lpSum([
bundle.tif(self.solver_run.irt_model, tif_target.theta) bundle.tif(self.solver_run.irt_model, tif_target.theta)
* bundles[bundle.id] * bundles[bundle.id]
for bundle in self.solver_run.bundles for bundle in selected_bundles
] + [ ] + [
item.iif(self.solver_run, tif_target.theta) * item.iif(self.solver_run, tif_target.theta) *
items[item.id] items[item.id]
for item in self.solver_run.unbundled_items() for item in selected_items
]) >= tif_target.minimum( ]) >= tif_target.minimum(
), f'Min TIF theta({tif_target.theta}) at target {tif_target.value} drift at {current_drift}%' ), f'Min TIF theta({tif_target.theta}) at target {tif_target.value} drift at {current_drift}%'
problem += lpSum([ problem += lpSum([
bundle.tif(self.solver_run.irt_model, tif_target.theta) bundle.tif(self.solver_run.irt_model, tif_target.theta)
* bundles[bundle.id] * bundles[bundle.id]
for bundle in self.solver_run.bundles for bundle in selected_bundles
] + [ ] + [
item.iif(self.solver_run, tif_target.theta) * item.iif(self.solver_run, tif_target.theta) *
items[item.id] items[item.id]
for item in self.solver_run.unbundled_items() for item in selected_items
]) <= tif_target.maximum( ]) <= tif_target.maximum(
), f'Max TIF theta({tif_target.theta}) at target {tif_target.value} drift at {current_drift}%' ), f'Max TIF theta({tif_target.theta}) at target {tif_target.value} drift at {current_drift}%'
@ -174,21 +168,21 @@ class LoftService(Base):
problem += lpSum([ problem += lpSum([
bundle.trf(self.solver_run.irt_model, tcc_target.theta) bundle.trf(self.solver_run.irt_model, tcc_target.theta)
* bundles[bundle.id] * bundles[bundle.id]
for bundle in self.solver_run.bundles for bundle in selected_bundles
] + [ ] + [
item.irf(self.solver_run, tcc_target.theta) * item.irf(self.solver_run, tcc_target.theta) *
items[item.id] items[item.id]
for item in self.solver_run.unbundled_items() for item in selected_items
]) >= tcc_target.minimum( ]) >= tcc_target.minimum(
), f'Min TCC theta({tcc_target.theta}) at target {tcc_target.value} drift at {current_drift}%' ), f'Min TCC theta({tcc_target.theta}) at target {tcc_target.value} drift at {current_drift}%'
problem += lpSum([ problem += lpSum([
bundle.trf(self.solver_run.irt_model, tcc_target.theta) bundle.trf(self.solver_run.irt_model, tcc_target.theta)
* bundles[bundle.id] * bundles[bundle.id]
for bundle in self.solver_run.bundles for bundle in selected_bundles
] + [ ] + [
item.irf(self.solver_run, tcc_target.theta) * item.irf(self.solver_run, tcc_target.theta) *
items[item.id] items[item.id]
for item in self.solver_run.unbundled_items() for item in selected_items
]) <= tcc_target.maximum( ]) <= tcc_target.maximum(
), f'Max TCC theta({tcc_target.theta}) at target {tcc_target.value} drift at {current_drift}%' ), f'Max TCC theta({tcc_target.theta}) at target {tcc_target.value} drift at {current_drift}%'

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@ -27,6 +27,10 @@ class SolverSandbox:
# Latest CPNRE Item Bank with metadata and cases # Latest CPNRE Item Bank with metadata and cases
body = {'Records': [{'eventVersion': '2.1', 'eventSource': 'aws:s3', 'awsRegion': 'us-east-1', 'eventTime': '2022-03-24T15:47:54.652Z', 'eventName': 'ObjectCreated:Put', 'userIdentity': {'principalId': 'AIDAJDPLRKLG7UEXAMPLE'}, 'requestParameters': {'sourceIPAddress': '127.0.0.1'}, 'responseElements': {'x-amz-request-id': '1969b1ed', 'x-amz-id-2': 'eftixk72aD6Ap51TnqcoF8eFidJG9Z/2'}, 's3': {'s3SchemaVersion': '1.0', 'configurationId': 'testConfigRule', 'bucket': {'name': 'measure-local-solver-ingest', 'ownerIdentity': {'principalId': 'A3NL1KOZZKExample'}, 'arn': 'arn:aws:s3:::measure-local-solver-ingest'}, 'object': {'key': 'ab40ca20-8db7-013a-a88f-0242ac120013_solver_run.tar.gz', 'size': 24111, 'eTag': '"718a1a17b5dd5219b8e179bfd1ddf1ca"', 'versionId': None, 'sequencer': '0055AED6DCD90281E5'}}}]} body = {'Records': [{'eventVersion': '2.1', 'eventSource': 'aws:s3', 'awsRegion': 'us-east-1', 'eventTime': '2022-03-24T15:47:54.652Z', 'eventName': 'ObjectCreated:Put', 'userIdentity': {'principalId': 'AIDAJDPLRKLG7UEXAMPLE'}, 'requestParameters': {'sourceIPAddress': '127.0.0.1'}, 'responseElements': {'x-amz-request-id': '1969b1ed', 'x-amz-id-2': 'eftixk72aD6Ap51TnqcoF8eFidJG9Z/2'}, 's3': {'s3SchemaVersion': '1.0', 'configurationId': 'testConfigRule', 'bucket': {'name': 'measure-local-solver-ingest', 'ownerIdentity': {'principalId': 'A3NL1KOZZKExample'}, 'arn': 'arn:aws:s3:::measure-local-solver-ingest'}, 'object': {'key': 'ab40ca20-8db7-013a-a88f-0242ac120013_solver_run.tar.gz', 'size': 24111, 'eTag': '"718a1a17b5dd5219b8e179bfd1ddf1ca"', 'versionId': None, 'sequencer': '0055AED6DCD90281E5'}}}]}
# Latest LOFT Item Bank with metadata and cases with target variance
body = {'Records': [{'eventVersion': '2.1', 'eventSource': 'aws:s3', 'awsRegion': 'us-east-1', 'eventTime': '2022-03-25T18:03:18.829Z', 'eventName': 'ObjectCreated:Put', 'userIdentity': {'principalId': 'AIDAJDPLRKLG7UEXAMPLE'}, 'requestParameters': {'sourceIPAddress': '127.0.0.1'}, 'responseElements': {'x-amz-request-id': '204c718f', 'x-amz-id-2': 'eftixk72aD6Ap51TnqcoF8eFidJG9Z/2'}, 's3': {'s3SchemaVersion': '1.0', 'configurationId': 'testConfigRule', 'bucket': {'name': 'measure-local-solver-ingest', 'ownerIdentity': {'principalId': 'A3NL1KOZZKExample'}, 'arn': 'arn:aws:s3:::measure-local-solver-ingest'}, 'object': {'key': 'beb35dc0-8e93-013a-5807-0242ac120013_solver_run.tar.gz', 'size': 24112, 'eTag': '"a5a4aad0eb8c9d9af2aad9684437022a"', 'versionId': None, 'sequencer': '0055AED6DCD90281E5'}}}]}
LoftService(body).process() LoftService(body).process()
def yosh_loop(): def yosh_loop():