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zZ1q>H8)(f9JCaflhN9L}3P5U|R9k|7kMC%Q0(}ie>Vtoow}!w}Y~0~!=t~XmmcV*U zmPrbKW{{GULdwcoBE`i~(lTfNmKY-V^oymFfLYlS#X7*A(gsBy=~E?}0)K0d zLAQk=>_|=W2Jn0~T2g`Fx-ZkD>A;ibVATwGG#Qd~+FA&(N1{O!7r@q|usfO`u) zNAh(KH*N|H$6|kOyEj;O2mP1&0nkq~;>qI;+Px|K|GR7?8Z57*+PYz)CABA*%B}zw zJFve>qy{9{d5+(QzvTIT``pj2PqJ^y=@f~tbO2xhHrVSMlTi!mpOWBz41gfOao~R8 zr}Vd>AS52`vDR85BLEx^BySd#E&q;Z!#G;ox#S*_!UP=Y3PwxQ3q5%v# z(RC|tmE9EnTXX&!`}$1ZcLKmsQW&`5T)%-9SKSo+zdZ-i8jnH#vMP`o^wZ9H644-$ zCNDYBWv$JLu;3J6eIDG@lk}d!Biz8S^Fsh+1aaI`IhVg!tFCktEoH9V4l5do)!JAzEop!sy{!`3vT6NnhnSZ-5Cwl0zLu?M%Cp-tqT#$olRWcH3|N011$p+pzy zDxAH+iS~3mx&7aG{3(e8n&@cvtC~V`uCeccs;DaP4fwLa`@u+o5Q2gHl%&BH5v>0)~`%K>K=w03p#AUZ3p2$+Ya2^ z&+xLcQgV`Vax#`OXbE`)TK>1&j;%Bfs8%p1&Ulh{JiLpW0;6qFu", ">=", "<", "<=", "!="]: + try: + case_value = float(raw_case_value) + comparison_value = float(self.value) + except ValueError: + case_value = raw_case_value + comparison_value = self.value + else: + case_value = raw_case_value + comparison_value = self.value + if self.condition == "in": - evaluator = InOperatorEvaluator(self.value, case_value) - return evaluator.eval() + min_value, max_value = comparison_value + return min_value <= case_value <= max_value + elif self.condition == ">": + return case_value > comparison_value + elif self.condition == ">=": + return case_value >= comparison_value + elif self.condition == "<": + return case_value < comparison_value + elif self.condition == "<=": + return case_value <= comparison_value + elif self.condition == "!=": + return case_value != comparison_value else: - return self.value == case_value + return case_value == comparison_value + class AndBranchConditionRule: diff --git a/prosimos/case_attributes.py b/prosimos/case_attributes.py index abdbbe1..e3bd912 100644 --- a/prosimos/case_attributes.py +++ b/prosimos/case_attributes.py @@ -52,12 +52,15 @@ def get_next_value(self): return self.value.generate_sample(1)[0] def validate(self): + epsilon = 1e-6 + if self.case_atrr_type == CASE_ATTR_TYPE.DISCRETE: actual_sum_probabilities = reduce(lambda acc, item: acc + item, self.value["probabilities"], 0) - if actual_sum_probabilities != 1: - raise InvalidCaseAttributeException(f"Case attribute ${self.name}: probabilities' sum should be equal to 1") - + if not (1 - epsilon <= actual_sum_probabilities <= 1 + epsilon): + raise InvalidCaseAttributeException( + f"Case attribute {self.name}: probabilities' sum should be equal to 1") + return True diff --git a/prosimos/event_attributes.py b/prosimos/event_attributes.py index 8dc1996..1bee424 100644 --- a/prosimos/event_attributes.py +++ b/prosimos/event_attributes.py @@ -4,10 +4,13 @@ from typing import Dict import ast import operator as op +import sys +import numpy as np from pix_framework.statistics.distribution import DurationDistribution from prosimos.exceptions import InvalidEventAttributeException +import math class EVENT_ATTR_TYPE(Enum): @@ -24,6 +27,8 @@ class EVENT_ATTR_TYPE(Enum): ast.FloorDiv: op.floordiv } +math_functions = {name: getattr(math, name) for name in dir(math) if callable(getattr(math, name))} + def parse_discrete_value(value_info_arr): prob_arr = [] @@ -57,7 +62,8 @@ def _eval(node): elif isinstance(node, ast.UnaryOp): return operators[type(node.op)](_eval(node.operand)) elif isinstance(node, ast.Name): - return vars_dict[node.id] + if node.id in vars_dict: + return vars_dict[node.id] elif isinstance(node, ast.Str): return node.s elif isinstance(node, ast.Compare): @@ -67,10 +73,19 @@ def _eval(node): return all(_eval(value) for value in node.values) elif type(node.op) is ast.Or: return any(_eval(value) for value in node.values) + elif isinstance(node, ast.Call): + if node.func.id in math_functions: + args = [_eval(arg) for arg in node.args] + try: + return math_functions[node.func.id](*args) + except OverflowError: + return np.finfo(np.float32).max + except ValueError: + return 0 else: - return None + return 0 except (SyntaxError, ZeroDivisionError, TypeError, KeyError): - return None + return 0 return _eval(tree.body) @@ -92,22 +107,39 @@ def __init__(self, event_id, name, event_attr_type, value): self.validate() - def get_next_value(self, all_attributes={}): + def get_next_value(self, all_attributes): if self.event_attr_type == EVENT_ATTR_TYPE.DISCRETE: one_choice_arr = choices(self.value["options"], self.value["probabilities"]) return one_choice_arr[0] elif self.event_attr_type == EVENT_ATTR_TYPE.EXPRESSION: - return eval_expr(self.value, all_attributes) + result = eval_expr(self.value, all_attributes) + if isinstance(result, (int, float, np.number)) and not isinstance(result, bool): + if result == 0: # Specifically handle zero without adjusting to tiny (in case of any errors in eval) + return 0 + elif result == float('inf'): + return np.finfo(np.float32).max + elif result == -float('inf'): + return np.finfo(np.float32).min + elif abs(result) < np.finfo(np.float32).tiny: + return np.finfo(np.float32).tiny + elif abs(result) > np.finfo(np.float32).max: + return np.finfo(np.float32).max if result > 0 else np.finfo(np.float32).min + else: + return result + else: + return result else: return self.value.generate_sample(1)[0] def validate(self): + epsilon = 1e-6 + if self.event_attr_type == EVENT_ATTR_TYPE.DISCRETE: - actual_sum_probabilities = reduce(lambda acc, item: acc + item, self.value["probabilities"], 0) + actual_sum_probabilities = sum(self.value["probabilities"]) - if actual_sum_probabilities != 1: + if not (1 - epsilon <= actual_sum_probabilities <= 1 + epsilon): raise InvalidEventAttributeException( - f"Event attribute ${self.name}: probabilities' sum should be equal to 1") + f"Event attribute {self.name}: probabilities' sum should be equal to 1") return True diff --git a/prosimos/gateway_condition_choice.py b/prosimos/gateway_condition_choice.py index f79429f..6c71289 100644 --- a/prosimos/gateway_condition_choice.py +++ b/prosimos/gateway_condition_choice.py @@ -3,8 +3,8 @@ def __init__(self, candidates_list, rules_list): self.candidates_list = candidates_list self.rules_list = rules_list - def get_outgoing_flow(self, case_attributes): + def get_outgoing_flow(self, attributes): return [candidate for candidate, rule in zip(self.candidates_list, self.rules_list) - if rule.is_true(case_attributes)] + if rule.is_true(attributes)] diff --git a/prosimos/outgoing_flow_selector.py b/prosimos/outgoing_flow_selector.py index feb21f2..c06e177 100644 --- a/prosimos/outgoing_flow_selector.py +++ b/prosimos/outgoing_flow_selector.py @@ -19,13 +19,14 @@ def choose_outgoing_flow(e_info, element_probability, all_attributes, gateway_co @staticmethod def _handle_exclusive_gateway(e_info, element_probability, all_attributes, gateway_conditions): - curr_gateway_conditions = gateway_conditions[e_info.id] - candidates_list = curr_gateway_conditions.candidates_list + curr_gateway_conditions = gateway_conditions.get(e_info.id, None) # No conditions (use probabilities) - if not candidates_list: + if not curr_gateway_conditions or not curr_gateway_conditions.candidates_list: return OutgoingFlowSelector._use_probabilities(e_info, element_probability) - + + candidates_list = curr_gateway_conditions.candidates_list + condition_choice = GatewayConditionChoice(candidates_list, curr_gateway_conditions.rules_list) passed_arcs_ids = condition_choice.get_outgoing_flow(all_attributes) @@ -53,13 +54,13 @@ def _handle_exclusive_gateway(e_info, element_probability, all_attributes, gatew @staticmethod def _handle_inclusive_gateway(e_info, element_probability, all_attributes, gateway_conditions): - curr_gateway_conditions = gateway_conditions[e_info.id] - candidates_list = curr_gateway_conditions.candidates_list + curr_gateway_conditions = gateway_conditions.get(e_info.id, None) # No conditions (use probabilities) - if not candidates_list: + if not curr_gateway_conditions or not curr_gateway_conditions.candidates_list: return element_probability[e_info.id].get_multiple_flows() + candidates_list = curr_gateway_conditions.candidates_list condition_choice = GatewayConditionChoice(candidates_list, curr_gateway_conditions.rules_list) passed_arcs_ids = condition_choice.get_outgoing_flow(all_attributes) diff --git a/prosimos/simulation_engine.py b/prosimos/simulation_engine.py index 989e96d..d0fa62a 100644 --- a/prosimos/simulation_engine.py +++ b/prosimos/simulation_engine.py @@ -35,7 +35,6 @@ def __init__(self): class SimBPMEnv: def __init__(self, sim_setup: SimDiffSetup, stat_fwriter, log_fwriter): - self.produced_event_attributes = {} self.sim_setup = sim_setup self.sim_resources = dict() self.stat_fwriter = stat_fwriter @@ -61,7 +60,7 @@ def __init__(self, sim_setup: SimDiffSetup, stat_fwriter, log_fwriter): ) all_attributes = { - "global": self.sim_setup.all_attributes.global_attributes.get_values_calculated(), + "global": self.sim_setup.all_attributes.global_attribute_initial_values, **self.case_prioritisation.all_case_attributes } @@ -259,7 +258,6 @@ def update_attributes(self, current_event): new_global_attr_values = self._extract_attributes_for_event(current_event.task_id, global_event_attributes, all_attribute_values) new_event_attr_values = self._extract_attributes_for_event(current_event.task_id, event_attributes, all_attribute_values) - self.produced_event_attributes = set(new_event_attr_values.keys()) self.sim_setup.bpmn_graph.all_attributes["global"].update(new_global_attr_values) self.sim_setup.bpmn_graph.all_attributes[current_event.p_case].update(new_event_attr_values) @@ -298,11 +296,7 @@ def get_csv_row_data(self, full_event: TaskEvent): ) all_attrs = self.sim_setup.bpmn_graph.get_all_attributes(full_event.p_case) - values = [all_attrs.get(col) if - (col in self.produced_event_attributes or col not in self.sim_setup.all_attributes.event_attribute_names) - else None for col in self.additional_columns] - - self.produced_event_attributes.clear() + values = ["" if all_attrs.get(col) is None else all_attrs.get(col) for col in self.additional_columns] return [*row_basic_info, *values] diff --git a/prosimos/simulation_properties_parser.py b/prosimos/simulation_properties_parser.py index 78c2757..14562c0 100644 --- a/prosimos/simulation_properties_parser.py +++ b/prosimos/simulation_properties_parser.py @@ -298,7 +298,9 @@ def parse_gateway_conditions(gateway_json, branch_rules): if len(prob_info) > 0: gateway_conditions[g_id] = GatewayConditionChoice(out_arc, gateway_rules) - if len(missing_conditions) > 0 and len(gateway_rules) != len(g_info["probabilities"]): + if len(missing_conditions) > 0 and \ + len(missing_conditions) != g_info["probabilities"] and \ + 1 < len(g_info["probabilities"]) != len(gateway_rules): warning_logger.add_warning(f"Gateway {g_id} is using conditions, but some are missing. Flows without conditions: {', '.join(missing_conditions)}") return gateway_conditions diff --git a/testing_scripts/test_attributes_interaction.py b/testing_scripts/test_attributes_interaction.py index 3324618..19352b5 100644 --- a/testing_scripts/test_attributes_interaction.py +++ b/testing_scripts/test_attributes_interaction.py @@ -207,16 +207,30 @@ def get_fuzzy_calendars(self): return calendars @staticmethod - def create_attribute(attr_name, value, distribution_name=None): + def create_attribute(attr_name, values, distribution_name=None): + if distribution_name == "discrete": + if not isinstance(values, dict): + raise ValueError( + "For discrete distributions, values must be a dictionary with label-probability pairs.") + + # Convert the label-probability dict to the required list of dicts format + distribution_params = [{"key": key, "value": float(prob)} for key, prob in values.items()] + + return { + "name": attr_name, + "type": "discrete", + "values": distribution_params + } + # If value is a single number, assume fixed distribution - if isinstance(value, (int, float)): + if isinstance(values, (int, float)): distribution_name = "fix" - distribution_params = [{"value": float(value)}] + distribution_params = [{"value": float(values)}] else: # Otherwise, assume value is an array of distribution parameters if distribution_name is None: raise ValueError("For non-fixed distributions, distribution_name must be provided.") - distribution_params = value + distribution_params = values return { "name": attr_name, @@ -283,6 +297,21 @@ def build(self): CONFIG = [ + *ConfigBuilder("test single discrete attribute - GLOBAL") + .add_global_attribute("GLOBAL", {"G":1}, "discrete") + .add_assertion(lambda log: check_case_pattern(log, {"GLOBAL": ["G", "G", "G"]})) + .build(), + + *ConfigBuilder("test single discrete attribute - EVENT") + .add_global_attribute("EVENT", {"E": 1}, "discrete") + .add_assertion(lambda log: check_case_pattern(log, {"EVENT": ["E", "E", "E"]})) + .build(), + + *ConfigBuilder("test single discrete attribute - CASE") + .add_global_attribute("CASE", {"C": 1}, "discrete") + .add_assertion(lambda log: check_case_pattern(log, {"CASE": ["C", "C", "C"]})) + .build(), + *ConfigBuilder("test single attribute creation - GLOBAL") .add_global_attribute("GLOBAL", 1) .add_assertion(lambda log: check_case_pattern(log, {"GLOBAL": [1, 1, 1]})) @@ -295,7 +324,7 @@ def build(self): *ConfigBuilder("test single attribute creation - EVENT") .add_event_attribute("EVENT", 3) - .add_assertion(lambda log: check_case_pattern(log, {"EVENT": [np.nan, 3, np.nan]})) + .add_assertion(lambda log: check_case_pattern(log, {"EVENT": [np.nan, 3, 3]})) .build(), *ConfigBuilder("test single attribute creation - GLOBAL CASE") @@ -332,8 +361,19 @@ def build(self): .add_event_attribute("EVENT_1", 111) .add_event_attribute("EVENT_2", 222) .add_assertion(lambda log: check_case_pattern(log, { - "EVENT_1": [np.nan, 111, np.nan], - "EVENT_2": [np.nan, 222, np.nan] + "EVENT_1": [np.nan, 111, 111], + "EVENT_2": [np.nan, 222, 222] + })) + .build(), + + *ConfigBuilder("test multiple attributes creation - ALL") + .add_global_attribute("GLOBAL_1", 1) + .add_case_attribute("CASE_1", 11) + .add_event_attribute("EVENT_1", 111) + .add_assertion(lambda log: check_case_pattern(log, { + "GLOBAL_1": [1, 1, 1], + "CASE_1": [11, 11, 11], + "EVENT_1": [np.nan, 111, 111], })) .build(), diff --git a/testing_scripts/test_event_attributes.py b/testing_scripts/test_event_attributes.py index 5a59201..cc303f7 100644 --- a/testing_scripts/test_event_attributes.py +++ b/testing_scripts/test_event_attributes.py @@ -5,6 +5,7 @@ import logging from testing_scripts.bimp_diff_sim_tests import run_diff_res_simulation from prosimos.event_attributes import EventAttribute, EVENT_ATTR_TYPE +import numpy as np LOGGER = logging.getLogger(__name__) @@ -109,6 +110,43 @@ def test_validate_flows_based_on_event_attributes(assets_path): "expression": "x / y", "expected_value": 2 }, + { + "test_name": "Modulus Test", + "event_attributes": { + "x": 10, + "y": 3 + }, + "expression": "x % y", + "expected_value": 1 + }, + { + "test_name": "Exponentiation Test", + "event_attributes": { + "x": 2, + "y": 3 + }, + "expression": "x ** y", + "expected_value": 8 + }, + { + "test_name": "True Division Test", + "event_attributes": { + "x": 7, + "y": 2 + }, + "expression": "x / y", + "expected_value": 3.5 + }, + { + "test_name": "Floor Division Test", + "event_attributes": { + "x": 7, + "y": 2 + }, + "expression": "x // y", + "expected_value": 3 + }, + { "test_name": "Unary Negation Test", "event_attributes": { @@ -197,50 +235,6 @@ def test_validate_flows_based_on_event_attributes(assets_path): "expression": "x or y", "expected_value": True }, - { - "test_name": "Division by Zero Test", - "event_attributes": { - "x": 10, - "y": 0 - }, - "expression": "x / y", - "expected_value": None - }, - { - "test_name": "Nonexistent Attribute Test", - "event_attributes": { - "x": 5 - }, - "expression": "x + y", - "expected_value": None - }, - { - "test_name": "String Concatenation Test", - "event_attributes": { - "x": "Hello", - "y": " World" - }, - "expression": "x + y", - "expected_value": "Hello World" - }, - { - "test_name": "String Multiplication Test", - "event_attributes": { - "x": "Hello", - "y": 2 - }, - "expression": "x * y", - "expected_value": "HelloHello" - }, - { - "test_name": "String Division Test", - "event_attributes": { - "x": "Hello", - "y": 2 - }, - "expression": "x / y", - "expected_value": None - }, { "test_name": "Boolean and String Test", "event_attributes": { @@ -250,6 +244,7 @@ def test_validate_flows_based_on_event_attributes(assets_path): "expression": "x and y", "expected_value": True }, + { "test_name": "Boolean and Integer Test", "event_attributes": { @@ -268,13 +263,13 @@ def test_validate_flows_based_on_event_attributes(assets_path): "expected_value": True }, { - "test_name": "String Equality Test", # Name of the test - "event_attributes": { # Attributes used in expression + "test_name": "String Equality Test", + "event_attributes": { "x": "Hello", "y": "Hello" }, - "expression": "x == y", # Expression to be evaluated - "expected_value": True # Expected result of the evaluation + "expression": "x == y", + "expected_value": True }, { "test_name": "String Inequality Test", @@ -285,16 +280,6 @@ def test_validate_flows_based_on_event_attributes(assets_path): "expression": "x != y", "expected_value": True }, - { - "test_name": "Concatenation and Multiplication Test", - "event_attributes": { - "x": "Hello", - "y": "World", - "z": 2 - }, - "expression": "(x + ' ' + y) * z", - "expected_value": "Hello WorldHello World" - }, { "test_name": "Empty String Test", "event_attributes": { @@ -322,40 +307,90 @@ def test_validate_flows_based_on_event_attributes(assets_path): "expected_value": False }, { - "test_name": "Modulus Test", + "test_name": "Inequality Test With Zero", "event_attributes": { - "x": 10, - "y": 3 + "x": 0, + "y": 10 }, - "expression": "x % y", - "expected_value": 1 + "expression": "x != y", + "expected_value": True }, { - "test_name": "Exponentiation Test", + "test_name": "Greater Than Test With Negative Number", "event_attributes": { - "x": 2, - "y": 3 + "x": -5, + "y": -10 }, - "expression": "x ** y", - "expected_value": 8 + "expression": "x > y", + "expected_value": True }, { - "test_name": "True Division Test", + "test_name": "Less Than Test With Negative Number", "event_attributes": { - "x": 7, + "x": -5, + "y": -1 + }, + "expression": "x < y", + "expected_value": True + }, + + + + + + { + "test_name": "String Concatenation Test", + "event_attributes": { + "x": "Hello", + "y": " World" + }, + "expression": "x + y", + "expected_value": "Hello World" + }, + { + "test_name": "String Multiplication Test", + "event_attributes": { + "x": "Hello", "y": 2 }, - "expression": "x / y", - "expected_value": 3.5 + "expression": "x * y", + "expected_value": "HelloHello" }, { - "test_name": "Floor Division Test", + "test_name": "String Division Test", "event_attributes": { - "x": 7, + "x": "Hello", "y": 2 }, - "expression": "x // y", - "expected_value": 3 + "expression": "x / y", + "expected_value": 0 + }, + { + "test_name": "Division by Zero Test", + "event_attributes": { + "x": 10, + "y": 0 + }, + "expression": "x / y", + "expected_value": 0 + }, + { + "test_name": "Nonexistent Attribute Test", + "event_attributes": { + "x": 5 + }, + "expression": "x + y", + "expected_value": 0 + }, + { + "test_name": "Concatenation and Multiplication Test", + "event_attributes": { + "x": "Hello", + "y": "World", + "z": 2 + }, + "expression": "(x + ' ' + y) * z", + "expected_value": "Hello WorldHello World" }, { "test_name": "Mixed Type Addition Test", @@ -364,44 +399,53 @@ def test_validate_flows_based_on_event_attributes(assets_path): "y": 5 }, "expression": "x + y", - "expected_value": None + "expected_value": 0 }, { "test_name": "Nested Operation Test", "event_attributes": { "x": 2, "y": 3, - "z": 1 + "z": 3 }, "expression": "(x + y) * z", - "expected_value": 5 + "expected_value": 15 }, { - "test_name": "Inequality Test With Zero", + "test_name": "Single Number", "event_attributes": { - "x": 0, - "y": 10 }, - "expression": "x != y", - "expected_value": True + "expression": "1", + "expected_value": 1 }, { - "test_name": "Greater Than Test With Negative Number", + "test_name": "Invalid expression", "event_attributes": { - "x": -5, - "y": -10 }, - "expression": "x > y", - "expected_value": True + "expression": "\\?da\d/qwd", + "expected_value": None }, { - "test_name": "Less Than Test With Negative Number", + "test_name": "Math function (root)", "event_attributes": { - "x": -5, - "y": -1 }, - "expression": "x < y", - "expected_value": True + "expression": "sqrt(49)", + "expected_value": 7 + }, + + { + "test_name": "Math function overflow (exp growth)", + "event_attributes": { + }, + "expression": "exp(3999)", + "expected_value": np.finfo(np.float32).max + }, + { + "test_name": "Math function unexpected value (negatives for log))", + "event_attributes": { + }, + "expression": "log(-1)", + "expected_value": 0 } ] From adba9796f6220b5c1936feb2b5ab313bb395ecb5 Mon Sep 17 00:00:00 2001 From: Simple Squirrel Date: Tue, 21 May 2024 11:11:15 +0300 Subject: [PATCH 2/6] Added Marcov-Chain --- prosimos/event_attributes.py | 117 +++++++++++++++++++++++++++++------ 1 file changed, 97 insertions(+), 20 deletions(-) diff --git a/prosimos/event_attributes.py b/prosimos/event_attributes.py index 1bee424..4f0bea5 100644 --- a/prosimos/event_attributes.py +++ b/prosimos/event_attributes.py @@ -1,3 +1,4 @@ +import pprint from enum import Enum from functools import reduce from random import choices @@ -27,20 +28,67 @@ class EVENT_ATTR_TYPE(Enum): ast.FloorDiv: op.floordiv } -math_functions = {name: getattr(math, name) for name in dir(math) if callable(getattr(math, name))} +def fix(mean): + return DurationDistribution(name="fix", mean=mean, var=0.0, std=0.0, minimum=mean, maximum=mean).generate_sample(1)[0] + + +def uniform(minimum, maximum): + return DurationDistribution(name="uniform", minimum=minimum, maximum=maximum).generate_sample(1)[0] + + +def norm(mean, std, minimum=None, maximum=None): + return DurationDistribution(name="norm", mean=mean, std=std, minimum=minimum, maximum=maximum).generate_sample(1)[0] + +def triang(c, minimum, maximum): + return DurationDistribution(name="triang", mean=c, minimum=minimum, maximum=maximum).generate_sample(1)[0] -def parse_discrete_value(value_info_arr): - prob_arr = [] - options_arr = [] - for item in value_info_arr: - options_arr.append(item["key"]) - prob_arr.append(float(item["value"])) - return { - "options": options_arr, - "probabilities": prob_arr - } +def expon(mean, minimum=None, maximum=None): + return DurationDistribution(name="expon", mean=mean, minimum=minimum, maximum=maximum).generate_sample(1)[0] + + +def lognorm(mean, var, minimum=None, maximum=None): + return DurationDistribution(name="lognorm", mean=mean, var=var, minimum=minimum, maximum=maximum).generate_sample(1)[0] + + +def gamma(mean, var, minimum=None, maximum=None): + return DurationDistribution(name="gamma", mean=mean, var=var, minimum=minimum, maximum=maximum).generate_sample(1)[0] + + +distributions = { + 'fix': fix, + 'uniform': uniform, + 'norm': norm, + 'triang': triang, + 'expon': expon, + 'lognorm': lognorm, + 'gamma': gamma +} + +math_functions = {name: getattr(math, name) for name in dir(math) if callable(getattr(math, name))} + + +def parse_discrete_value(value_info): + if isinstance(value_info, list): + prob_arr = [] + options_arr = [] + for item in value_info: + options_arr.append(item["key"]) + prob_arr.append(float(item["value"])) + + return { + "type": "discrete", + "options": options_arr, + "probabilities": prob_arr + } + elif isinstance(value_info, dict): + return { + "type": "markov", + "transitions": value_info + } + else: + raise ValueError("Unsupported value_info format for discrete value") def parse_continuous_value(value_info) -> "DurationDistribution": @@ -74,10 +122,14 @@ def _eval(node): elif type(node.op) is ast.Or: return any(_eval(value) for value in node.values) elif isinstance(node, ast.Call): - if node.func.id in math_functions: + func_name = node.func.id + args = [_eval(arg) for arg in node.args] + if func_name in distributions: + return distributions[func_name](*args) + elif func_name in math_functions: args = [_eval(arg) for arg in node.args] try: - return math_functions[node.func.id](*args) + return math_functions[func_name ](*args) except OverflowError: return np.finfo(np.float32).max except ValueError: @@ -109,8 +161,17 @@ def __init__(self, event_id, name, event_attr_type, value): def get_next_value(self, all_attributes): if self.event_attr_type == EVENT_ATTR_TYPE.DISCRETE: - one_choice_arr = choices(self.value["options"], self.value["probabilities"]) - return one_choice_arr[0] + if self.value["type"] == "markov": + current_value = all_attributes.get(self.name, None) + next_state = self.get_next_markov_state(current_value) + if next_state is not None: + all_attributes[self.name] = next_state + return next_state + return current_value + else: + one_choice_arr = choices(self.value["options"], self.value["probabilities"]) + return one_choice_arr[0] + elif self.event_attr_type == EVENT_ATTR_TYPE.EXPRESSION: result = eval_expr(self.value, all_attributes) if isinstance(result, (int, float, np.number)) and not isinstance(result, bool): @@ -131,15 +192,31 @@ def get_next_value(self, all_attributes): else: return self.value.generate_sample(1)[0] + def get_next_markov_state(self, current_value): + transitions = self.value["transitions"] + if current_value in transitions: + current_transitions = transitions[current_value] + options, probabilities = zip(*current_transitions.items()) + return choices(options, probabilities)[0] + return current_value + def validate(self): epsilon = 1e-6 if self.event_attr_type == EVENT_ATTR_TYPE.DISCRETE: - actual_sum_probabilities = sum(self.value["probabilities"]) - - if not (1 - epsilon <= actual_sum_probabilities <= 1 + epsilon): - raise InvalidEventAttributeException( - f"Event attribute {self.name}: probabilities' sum should be equal to 1") + if self.value["type"] == "discrete": + actual_sum_probabilities = sum(self.value["probabilities"]) + + if not (1 - epsilon <= actual_sum_probabilities <= 1 + epsilon): + raise InvalidEventAttributeException( + f"Event attribute {self.name}: probabilities' sum should be equal to 1") + elif self.value["type"] == "markov": + for state, transitions in self.value["transitions"].items(): + actual_sum_probabilities = sum(transitions.values()) + if not (1 - epsilon <= actual_sum_probabilities <= 1 + epsilon): + raise InvalidEventAttributeException( + f"Event attribute {self.name}, state {state}: " + f"probabilities' sum should be equal to 1") return True From c70d7b120efc1ab407c43d558b0d6e206b2f93da Mon Sep 17 00:00:00 2001 From: Simple Squirrel Date: Mon, 10 Jun 2024 16:07:39 +0300 Subject: [PATCH 3/6] Added dtree support --- prosimos/event_attributes.py | 19 ++++++++++++++++--- 1 file changed, 16 insertions(+), 3 deletions(-) diff --git a/prosimos/event_attributes.py b/prosimos/event_attributes.py index 4f0bea5..e74290f 100644 --- a/prosimos/event_attributes.py +++ b/prosimos/event_attributes.py @@ -1,11 +1,9 @@ import pprint from enum import Enum -from functools import reduce from random import choices from typing import Dict import ast import operator as op -import sys import numpy as np from pix_framework.statistics.distribution import DurationDistribution @@ -18,6 +16,7 @@ class EVENT_ATTR_TYPE(Enum): DISCRETE = "discrete" CONTINUOUS = "continuous" EXPRESSION = "expression" + DTREE = "dtree" operators = { @@ -132,7 +131,8 @@ def _eval(node): return math_functions[func_name ](*args) except OverflowError: return np.finfo(np.float32).max - except ValueError: + except ValueError as e: + print(e) return 0 else: return 0 @@ -142,6 +142,12 @@ def _eval(node): return _eval(tree.body) +def evaluate_dtree(dtree, vars_dict): + for conditions, formula in dtree: + if conditions is True or all(eval_expr(cond, vars_dict) for cond in conditions): + return eval_expr(formula, vars_dict) + return None + class EventAttribute: def __init__(self, event_id, name, event_attr_type, value): self.event_id: str = event_id @@ -154,6 +160,8 @@ def __init__(self, event_id, name, event_attr_type, value): self.value = parse_continuous_value(value) elif self.event_attr_type == EVENT_ATTR_TYPE.EXPRESSION: self.value = value + elif self.event_attr_type == EVENT_ATTR_TYPE.DTREE: + self.value = value else: raise Exception(f"Not supported event attribute {type}") @@ -189,6 +197,11 @@ def get_next_value(self, all_attributes): return result else: return result + elif self.event_attr_type == EVENT_ATTR_TYPE.DTREE: + result = evaluate_dtree(self.value, all_attributes) + if result is not None: + return result + return 0 else: return self.value.generate_sample(1)[0] From 955fbaa9cc2f8f0a5330a0ee31d753301bedd5a0 Mon Sep 17 00:00:00 2001 From: Simple Squirrel Date: Mon, 5 Aug 2024 17:59:05 +0300 Subject: [PATCH 4/6] Added default path and change flow selection(XOR and OR) --- prosimos/branch_condition_parser.py | 6 +-- prosimos/event_attributes.py | 1 - prosimos/gateway_condition_choice.py | 9 +++- prosimos/outgoing_flow_selector.py | 67 +++++++++++++++++------- prosimos/simulation_properties_parser.py | 25 ++++++++- prosimos/simulation_setup.py | 4 +- 6 files changed, 82 insertions(+), 30 deletions(-) diff --git a/prosimos/branch_condition_parser.py b/prosimos/branch_condition_parser.py index 744d0af..402c8aa 100644 --- a/prosimos/branch_condition_parser.py +++ b/prosimos/branch_condition_parser.py @@ -7,6 +7,7 @@ BranchConditionWithRule ) + class BranchConditionParser: def __init__(self, json_data_with_branching_conditions): self.data = json_data_with_branching_conditions @@ -17,25 +18,20 @@ def parse(self): or_rules_json = curr_branch_condition_rule["rules"] branch_id = curr_branch_condition_rule["id"] - # print(f"OR RULES JSON: {str(or_rules_json)}") or_rules: List[AndBranchConditionRule] = [] for or_rule in or_rules_json: and_rules: List[BranchConditionRule] = [] - # print(f"OR RULE: {str(or_rule)}") for and_rule_json in or_rule: - # print(f"AND RULE JSON: {str(and_rule_json)}") rule: BranchConditionRule = BranchConditionRule( and_rule_json["attribute"], and_rule_json["comparison"], and_rule_json["value"], ) and_rules.append(rule) - # print(f"AND RULES: {str(or_rule)}") all_and_rules = AndBranchConditionRule(and_rules) or_rules.append(all_and_rules) all_or_rules = OrBranchConditionRule(or_rules) - # print(f"ALL OR RULES: {all_or_rules}\n\n") branching_conditions.append(BranchConditionWithRule(all_or_rules, branch_id)) diff --git a/prosimos/event_attributes.py b/prosimos/event_attributes.py index e74290f..4a3dc2e 100644 --- a/prosimos/event_attributes.py +++ b/prosimos/event_attributes.py @@ -132,7 +132,6 @@ def _eval(node): except OverflowError: return np.finfo(np.float32).max except ValueError as e: - print(e) return 0 else: return 0 diff --git a/prosimos/gateway_condition_choice.py b/prosimos/gateway_condition_choice.py index 6c71289..633fae8 100644 --- a/prosimos/gateway_condition_choice.py +++ b/prosimos/gateway_condition_choice.py @@ -1,10 +1,15 @@ class GatewayConditionChoice: - def __init__(self, candidates_list, rules_list): + def __init__(self, candidates_list, rules_list, default_path=None): self.candidates_list = candidates_list self.rules_list = rules_list + self.default_path = default_path + + def set_default(self, default_path): + self.default_path = default_path def get_outgoing_flow(self, attributes): return [candidate for candidate, rule in zip(self.candidates_list, self.rules_list) if rule.is_true(attributes)] - + def get_default_path(self): + return self.default_path diff --git a/prosimos/outgoing_flow_selector.py b/prosimos/outgoing_flow_selector.py index c06e177..21f9f89 100644 --- a/prosimos/outgoing_flow_selector.py +++ b/prosimos/outgoing_flow_selector.py @@ -1,4 +1,6 @@ import copy +import pprint + from prosimos.control_flow_manager import BPMN from prosimos.probability_distributions import Choice from prosimos.gateway_condition_choice import GatewayConditionChoice @@ -26,24 +28,32 @@ def _handle_exclusive_gateway(e_info, element_probability, all_attributes, gatew return OutgoingFlowSelector._use_probabilities(e_info, element_probability) candidates_list = curr_gateway_conditions.candidates_list + passed_arcs_ids = [] + + # Evaluate conditions + for candidate in candidates_list: + condition = curr_gateway_conditions.rules_list[candidates_list.index(candidate)] + if not condition or condition.is_true(all_attributes): + passed_arcs_ids.append(candidate) - condition_choice = GatewayConditionChoice(candidates_list, curr_gateway_conditions.rules_list) - passed_arcs_ids = condition_choice.get_outgoing_flow(all_attributes) + # All conditions evaluated to false + if not passed_arcs_ids: + default_path = curr_gateway_conditions.get_default_path() + if default_path: + warning_logger.add_warning(f"[XOR] {e_info.id} all conditions evaluated to false. Using default path {default_path}.") + return [(default_path, None)] + else: + warning_logger.add_warning(f"[XOR] {e_info.id} all conditions evaluated to false and no default path. Using probabilities.") + return OutgoingFlowSelector._use_probabilities(e_info, element_probability) # One true condition if len(passed_arcs_ids) == 1: return [(passed_arcs_ids[0], None)] - # All true or all false - if len(passed_arcs_ids) in [0, len(candidates_list)]: - warning_logger.add_warning(f"{e_info.id} all XOR gateway conditions evaluated to the same result ") - return OutgoingFlowSelector._use_probabilities(e_info, element_probability) - # More than 1 true (use scaled probabilities) curr_candidates = element_probability[e_info.id].candidates_list curr_probabilities = element_probability[e_info.id].probability_list - passed_arcs_probs = OutgoingFlowSelector._get_probabilities(passed_arcs_ids, curr_candidates, - curr_probabilities) + passed_arcs_probs = OutgoingFlowSelector._get_probabilities(passed_arcs_ids, curr_candidates, curr_probabilities) scaled_probabilities = OutgoingFlowSelector._scale_to_one(passed_arcs_probs) choice = Choice(passed_arcs_ids, scaled_probabilities) @@ -51,7 +61,6 @@ def _handle_exclusive_gateway(e_info, element_probability, all_attributes, gatew warning_logger.add_warning(f"{e_info.id} more than 1 XOR gateway conditions evaluated to positive result. Scaled probabilities were used.") return [(choice.get_outgoing_flow(), None)] - @staticmethod def _handle_inclusive_gateway(e_info, element_probability, all_attributes, gateway_conditions): curr_gateway_conditions = gateway_conditions.get(e_info.id, None) @@ -61,15 +70,37 @@ def _handle_inclusive_gateway(e_info, element_probability, all_attributes, gatew return element_probability[e_info.id].get_multiple_flows() candidates_list = curr_gateway_conditions.candidates_list - condition_choice = GatewayConditionChoice(candidates_list, curr_gateway_conditions.rules_list) - passed_arcs_ids = condition_choice.get_outgoing_flow(all_attributes) - - # All false (use probabilities) + passed_arcs_ids = [] + evaluated_arcs_ids = [] + + # Evaluate conditions + for candidate in candidates_list: + condition = curr_gateway_conditions.rules_list[candidates_list.index(candidate)] + if condition: + evaluated_arcs_ids.append(candidate) + if condition.is_true(all_attributes): + passed_arcs_ids.append(candidate) + + # All conditions evaluated to false if not passed_arcs_ids: - warning_logger.add_warning(f"{e_info.id} all OR gateway conditions evaluated to negative result. Probabilities were used.") - return element_probability[e_info.id].get_multiple_flows() - else: - return [(flow, None) for flow in passed_arcs_ids] + default_path = curr_gateway_conditions.get_default_path() + if default_path: + warning_logger.add_warning(f"[OR] {e_info.id} all conditions evaluated to false. Using default path {default_path}.") + return [(default_path, None)] + else: + warning_logger.add_warning(f"[OR] {e_info.id} all conditions evaluated to false and no default path. Using probabilities.") + return element_probability[e_info.id].get_multiple_flows() + + # Execute true conditions + result_flows = [(flow, None) for flow in passed_arcs_ids] + + # Use probabilities for the rest of the flows where conditions are missing + missing_conditions_flows = [flow for flow in candidates_list if flow not in evaluated_arcs_ids] + if missing_conditions_flows: + probabilities = element_probability[e_info.id].get_multiple_flows() + result_flows.extend([(flow, None) for flow in probabilities if flow in missing_conditions_flows]) + + return result_flows @staticmethod def _handle_parallel_events(e_info): diff --git a/prosimos/simulation_properties_parser.py b/prosimos/simulation_properties_parser.py index 14562c0..375fded 100644 --- a/prosimos/simulation_properties_parser.py +++ b/prosimos/simulation_properties_parser.py @@ -1,5 +1,6 @@ import datetime import json +import pprint import xml.etree.ElementTree as ET from dateutil import parser @@ -288,12 +289,14 @@ def parse_gateway_conditions(gateway_json, branch_rules): missing_conditions = list() for prob_info in g_info["probabilities"]: + path_id = prob_info["path_id"] + if "condition_id" in prob_info: - out_arc.append(prob_info["path_id"]) + out_arc.append(path_id) curr_branch_rules = branch_rules.get_branch_condition_by_id(prob_info["condition_id"]) gateway_rules.append(curr_branch_rules) else: - missing_conditions.append(prob_info["path_id"]) + missing_conditions.append(path_id) if len(prob_info) > 0: gateway_conditions[g_id] = GatewayConditionChoice(out_arc, gateway_rules) @@ -678,3 +681,21 @@ def parse_datetime(time, has_date): except ValueError: pass raise ValueError + + +def add_default_flows(gateway_conditions, bpmn_path): + tree = ET.parse(bpmn_path) + root = tree.getroot() + + namespaces = {'bpmn': 'http://www.omg.org/spec/BPMN/20100524/MODEL'} + + gateway_types = ['exclusiveGateway', 'inclusiveGateway'] + for gateway_type in gateway_types: + for gateway in root.findall(f'.//bpmn:{gateway_type}', namespaces): + gateway_id = gateway.get('id') + default_flow = gateway.get('default') + + if gateway_id in gateway_conditions and default_flow: + gateway_conditions[gateway_id].set_default(default_flow) + + return gateway_conditions diff --git a/prosimos/simulation_setup.py b/prosimos/simulation_setup.py index 39d97a4..2b3920f 100644 --- a/prosimos/simulation_setup.py +++ b/prosimos/simulation_setup.py @@ -11,7 +11,7 @@ from prosimos.control_flow_manager import BPMN, ElementInfo, ProcessState from prosimos.exceptions import InvalidSimScenarioException from prosimos.histogram_distribution import HistogramDistribution -from prosimos.simulation_properties_parser import parse_json_sim_parameters, parse_simulation_model +from prosimos.simulation_properties_parser import parse_json_sim_parameters, parse_simulation_model, add_default_flows class SimDiffSetup: @@ -34,7 +34,7 @@ def __init__(self, bpmn_path, json_path, is_event_added_to_log, total_cases): self.gateway_execution_limit, self.model_type ) = parse_json_sim_parameters(json_path) - + self.gateway_conditions = add_default_flows(self.gateway_conditions, bpmn_path) self.case_attributes = self.all_attributes.case_attributes self.bpmn_graph = parse_simulation_model(bpmn_path) From 986a2021bef6205a9a171bcf8dc9da43ba13e606 Mon Sep 17 00:00:00 2001 From: Simple Squirrel Date: Sat, 10 Aug 2024 12:59:45 +0300 Subject: [PATCH 5/6] new version set --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index e41ecdd..8bdfa03 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "prosimos" -version = "2.0.4" +version = "2.0.5" description = "" authors = [ "Iryna Halenok ", From 7a5c5cd9cf66a8521db2746cbc5babe5c5b78446 Mon Sep 17 00:00:00 2001 From: Simple Squirrel Date: Sat, 10 Aug 2024 13:01:58 +0300 Subject: [PATCH 6/6] removed covarage report --- htmlcov2024.zip | Bin 518932 -> 0 bytes 1 file 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