Merge remote-tracking branch 'origin/master'

# Conflicts:
#	scheduling.py
This commit is contained in:
Saturneric 2021-04-20 21:19:31 +08:00
commit 5950c1dab9
4 changed files with 188 additions and 78 deletions

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@ -84,8 +84,14 @@ def import_resource(res) -> Dict[str, model.Resource]:
def import_resource_attributes(res, resources: Dict[str, model.Resource]):
for record in res:
resources[record[0]].set_basic_attr(record[1])
resources[record[0]].add_attr(record[2])
resources[record[0]].set_basic_attr(record[2])
for attr in record[1].split(","):
resources[record[0]].add_attr(attr)
def import_process_resource(res, processes: Dict[str, model.Process]):
for record in res:
processes[record[0]].add_res_need(record[1], record[2])
def import_dataset():
@ -133,6 +139,11 @@ def import_dataset():
import_resource_attributes(res, resources)
cur.execute("SELECT * FROM aps_process_resource;")
res = cur.fetchall()
import_process_resource(res, processes)
conn.close()
return orders, products, processes, resources

View File

@ -63,7 +63,7 @@ class Process:
pcs_id: str,
pcs_name: str,
product: Product,
workspace: Workspace):
workspace: str):
self.pcs_id: str = pcs_id
self.pcs_name: str = pcs_name
@ -79,7 +79,7 @@ class Process:
self.last_pcs: Optional[Process] = None
self.res_needs: List[Dict[str, any]] = []
self.workspace: Workspace = workspace
self.workspace: str = workspace
def set_pre_last_pcs(self, prev_pcs: Optional[Process], last_pcs: Optional[Process]):
self.prev_pcs: Process = prev_pcs

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@ -1,6 +1,8 @@
from __future__ import annotations
import model
from datetime import datetime, timedelta
from typing import List, Dict, Optional
from copy import deepcopy
class RuntimeProduct:
@ -84,61 +86,68 @@ class RuntimeProcess:
# 运行时资源需求
class RuntimeResourceNeed:
def __int__(self,
process: model.Process,
resource_attr: str,
workspace: str,
def __init__(self, runtime_process: RuntimeProcess, resource_attr: str, workspace: str,
start: datetime, end: datetime):
if start < end:
if start > end:
raise RuntimeError("the start time must before the end time")
self.process: model.Process = process
self.process: model.Process = runtime_process.process
self.resource_attr: str = resource_attr
self.workspace: str = workspace
self.start: datetime = start
self.end: datetime = end
self.plan_alloc_resources_id: List[str] = []
self.could_alloc = False
self.ddl = runtime_process.ddl
def add_plan_alloc_resource(self, runtime_resource_id: str):
self.plan_alloc_resources_id.append(runtime_resource_id)
# 运行时资源
class RuntimeResource:
def __init__(self, resource: model.Resource):
def __init__(self, resource: model.Resource, start_time: datetime):
self.resource: model.Resource = resource
self.workspace: str = self.resource.workspace
self.basic_attr = self.resource.basic_attr
self.resource_attrs = self.resource.attrs
self.schedules: List[RuntimeResourceNeed] = []
self.start_time: datetime = start_time
def add_schedule(self, schedule: RuntimeResourceNeed) -> bool:
def add_schedule(self, schedule: RuntimeResourceNeed, do: bool) -> bool:
pre_need: Optional[RuntimeResourceNeed] = None
back_need: Optional[RuntimeResourceNeed] = None
if schedule.ddl < self.start_time:
return False
for resource_need in self.schedules:
if resource_need.end > schedule.start:
if resource_need.end > schedule.start > resource_need.start:
pre_need = resource_need
if back_need is not None \
and resource_need.start < resource_need.end:
if resource_need.start < schedule.end < resource_need.end:
back_need = resource_need
if pre_need is not None or back_need is not None:
return False
else:
self.schedules.append(schedule)
self.schedules = sorted(self.schedules, key=lambda need: need.start)
if do is True:
self.schedules.append(schedule)
self.schedules = sorted(self.schedules, key=lambda need: need.start)
return True
def get_earliest_available_free_times(self, duration: timedelta) -> datetime:
# 没有已分配任务
if self.schedules == 0:
return datetime.now()
if len(self.schedules) == 0:
return self.start_time
# 只有一个已分配任务
if self.schedules == 1:
if len(self.schedules) == 1:
target_schedule = self.schedules[0]
if datetime.now() < target_schedule.start:
if target_schedule.start - datetime.now() > duration:
if self.start_time < target_schedule.start:
if target_schedule.start - self.start_time > duration:
return target_schedule.start - duration
else:
@ -148,8 +157,8 @@ class RuntimeResource:
pre_schedule = self.schedules[i]
back_schedule = self.schedules[i + 1]
if datetime.now() < pre_schedule.start:
if pre_schedule.start - datetime.now() > duration:
if self.start_time < pre_schedule.start and i == 0:
if pre_schedule.start - self.start_time > duration:
return pre_schedule.start - duration
elif back_schedule.start - pre_schedule.end > duration:
@ -158,58 +167,120 @@ class RuntimeResource:
return self.schedules[-1].end
# 资源池
class RuntimeResourcePool:
def __init__(self, resources: List[model.Resource]):
self.pool: List[RuntimeResource] = []
def __init__(self, resources: List[model.Resource], start_time: datetime):
self.pool: Dict[str, RuntimeResource] = {}
self.start_time: datetime = start_time
for resource in resources:
runtime_resource = RuntimeResource(resource)
self.pool.append(runtime_resource)
runtime_resource = RuntimeResource(resource, self.start_time)
self.pool[runtime_resource.resource.rsc_id] = runtime_resource
def alloc_resource(self, resource_need: RuntimeResourceNeed) -> bool:
# 精确搜索
for runtime_resource in self.pool:
# 排除不同车间
if runtime_resource.workspace != resource_need.workspace:
# 资源分配操作
def alloc_resource(self, resource_needs: List[RuntimeResourceNeed]):
for resource_need in resource_needs:
if resource_need.could_alloc is False:
continue
if runtime_resource.basic_attr == resource_need.resource_attr:
if runtime_resource.add_schedule(resource_need) is True:
return True
# 放宽条件搜索
for runtime_resource in self.pool:
# 排除不同车间
if runtime_resource.workspace != resource_need.workspace:
for plan_alloc_resource_id in resource_need.plan_alloc_resources_id:
self.pool[plan_alloc_resource_id].add_schedule(resource_need, True)
def try_alloc_resource(self, resource_needs: List[RuntimeResourceNeed]) -> bool:
temp_pool = deepcopy(list(self.pool.values()))
# 已经满足的需求
fulfilled_needs = []
if_all_alloc = True
for resource_need in resource_needs:
if resource_need.could_alloc is True:
continue
if resource_need.resource_attr in runtime_resource.resource_attrs:
if runtime_resource.add_schedule(resource_need) is True:
return True
return False
# 精确搜索
for runtime_resource in temp_pool:
# 排除不同车间
if runtime_resource.workspace != resource_need.workspace:
continue
if runtime_resource.basic_attr == resource_need.resource_attr:
if runtime_resource.add_schedule(resource_need, False) is True:
resource_need.add_plan_alloc_resource(runtime_resource.resource.rsc_id)
fulfilled_needs.append(resource_need)
runtime_resource.add_schedule(resource_need, True)
resource_need.could_alloc = True
break
def get_earliest_free_time(self, resource_need: RuntimeResourceNeed) -> datetime:
# 是否已经分配完成
if resource_need.could_alloc is False:
# 放宽条件搜索
for runtime_resource in temp_pool:
# 排除不同车间
if runtime_resource.workspace != resource_need.workspace:
continue
if resource_need.resource_attr in runtime_resource.resource_attrs:
if runtime_resource.add_schedule(resource_need, False) is True:
resource_need.add_plan_alloc_resource(runtime_resource.resource.rsc_id)
fulfilled_needs.append(resource_need)
runtime_resource.add_schedule(resource_need, True)
resource_need.could_alloc = True
break
earliest_time: Optional[datetime] = None
if resource_need not in fulfilled_needs:
if_all_alloc = False
duration = resource_need.end - resource_need.start
return if_all_alloc
# 精确搜索
for runtime_resource in self.pool:
if runtime_resource.basic_attr == resource_need.resource_attr:
temp_earliest_time = runtime_resource.get_earliest_available_free_times(duration)
if earliest_time is None or earliest_time > temp_earliest_time:
earliest_time = temp_earliest_time
def reset_earliest_free_start_time(self, resource_needs: List[RuntimeResourceNeed]) -> bool:
# 优先利用对口资源
if earliest_time is not None:
return earliest_time
if_found = False
# 放宽条件搜索
for runtime_resource in self.pool:
if resource_need.resource_attr in runtime_resource.resource_attrs:
temp_earliest_time = runtime_resource.get_earliest_available_free_times(duration)
if earliest_time is None or earliest_time > temp_earliest_time:
earliest_time = temp_earliest_time
for resource_need in resource_needs:
if resource_need.could_alloc is True:
continue
earliest_time: Optional[datetime] = None
duration = resource_need.end - resource_need.start
# 精确搜索
for runtime_resource in self.pool.values():
# 排除不同车间
if runtime_resource.workspace != resource_need.workspace:
continue
if runtime_resource.basic_attr == resource_need.resource_attr:
temp_earliest_time = runtime_resource.get_earliest_available_free_times(duration)
# 时间不能超过DDL
if temp_earliest_time > resource_need.ddl - duration:
continue
if earliest_time is None or earliest_time > temp_earliest_time:
earliest_time = temp_earliest_time
# 优先利用对口资源
if earliest_time is not None:
resource_need.start = earliest_time
# 放宽条件搜索
else:
for runtime_resource in self.pool.values():
# 排除不同车间
if runtime_resource.workspace != resource_need.workspace:
continue
if resource_need.resource_attr in runtime_resource.resource_attrs:
temp_earliest_time = runtime_resource.get_earliest_available_free_times(duration)
# 时间不能超过DDL
if temp_earliest_time > resource_need.ddl - duration:
continue
if earliest_time is None or earliest_time > temp_earliest_time:
earliest_time = temp_earliest_time
if earliest_time is None:
if_found = False
else:
resource_need.start = earliest_time
resource_need.end = earliest_time + duration
if_found = True
return if_found
return earliest_time

View File

@ -2,7 +2,7 @@ import runtime
import model
import csv
from typing import List, Dict
from datetime import datetime
from datetime import datetime, timedelta, date
import time
import math
import dataset_importer
@ -81,25 +81,53 @@ def products_processor(runtime_products: List[runtime.RuntimeProduct]):
for item in runtime_products_processes_list:
for runtime_process in item["runtimeProcess"]:
runtime_product: runtime.RuntimeProduct = item["runtimeProduct"]
print(runtime_product.product.product_id, runtime_product.delay, runtime_process.process.pcs_id)
# print(runtime_product.product.product_id, runtime_product.delay, runtime_process.process.pcs_id)
return runtime_products_processes_list
# def resource_processor(resources: List[model.Resource], runtime_products_processes_list: List[Dict[str, any]]):
# resource_pool = runtime.RuntimeResourcePool(resources)
#
# for item in runtime_products_processes_list:
# ifalloc = True
# for runtime_process in item["runtimeProcess"]:
# runtime_process: runtime.RuntimeProcess = runtime_process
# for resource_item in runtime_process.process.res_needs:
# resource_item['']
# runtime_resource_need = runtime.RuntimeResourceNeed(runtime_process.process)
# if resource_pool.alloc_resource():
def resource_processor(runtime_products_processes_list: List[Dict[str, any]],
resource_pool: runtime.RuntimeResourcePool,
start_time: datetime):
could_alloc = True
for item in runtime_products_processes_list:
runtime_resource_needs: List[runtime.RuntimeResourceNeed] = []
for runtime_process in item["runtimeProcess"]:
runtime_process: runtime.RuntimeProcess = runtime_process
for resource_item in runtime_process.process.res_needs:
resource_attr = resource_item["rcs_attr"]
amount = resource_item["amount"]
for i in range(amount):
runtime_resource_need: runtime.RuntimeResourceNeed = runtime.RuntimeResourceNeed(
runtime_process,
resource_attr,
runtime_process.process.workspace,
start_time,
start_time + timedelta(minutes=runtime_process.process.pdt_time))
runtime_resource_needs.append(runtime_resource_need)
if resource_pool.try_alloc_resource(runtime_resource_needs):
resource_pool.alloc_resource(runtime_resource_needs)
else:
while resource_pool.reset_earliest_free_start_time(runtime_resource_needs):
resource_pool.try_alloc_resource(runtime_resource_needs)
resource_pool.alloc_resource(runtime_resource_needs)
for runtime_resource_need in runtime_resource_needs:
if runtime_resource_need.could_alloc is False:
could_alloc = False
break
return could_alloc
if __name__ == "__main__":
start_time: datetime = datetime.combine(date(2020, 8, 12), datetime.min.time())
m_orders, m_products, m_processes, m_resources = dataset_importer.import_dataset()
resource_pool: runtime.RuntimeResourcePool = runtime.RuntimeResourcePool(m_resources.values(), start_time)
produce_list = orders_processor(m_orders)
products_processor(produce_list)
rt_rcs_list = products_processor(produce_list)
print(resource_processor(rt_rcs_list, resource_pool, start_time))