File size: 45,070 Bytes
5f2f48d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 | """XT-SP finite-resource ALD teaching model; not an original controller or measured process calibration."""
from __future__ import annotations
import copy,importlib.util,json,math
from pathlib import Path
ROOT=Path(__file__).resolve().parents[2];SLUG='arradiance_gemstarxt';ASSET_TYPE_ID='instrument.'+SLUG;CATALOG_ID='CHEM-064';PROTOCOL_VERSION='1.0.0'
TEMPLATE_REL='assets/reactions/arradiance_gemstarxt_ald_library/templates.json'
R=8.31446261815324;STD_T=273.15;STD_P=101325.;CARRIER_MAX=200e-6/60
ELEMENTS=['Al','Zn','Ti','C','H','O','Ar','N']
ATOMS={'TMA':[1,0,0,3,9,0,0,0],'DEZ':[0,1,0,4,10,0,0,0],'TTIP':[0,0,1,12,28,4,0,0],'H2O':[0,0,0,0,2,1,0,0],'O2':[0,0,0,0,0,2,0,0],'AR':[0,0,0,0,0,0,1,0],'N2':[0,0,0,0,0,0,0,2],'CH4':[0,0,0,1,4,0,0,0],'C2H6':[0,0,0,2,6,0,0,0],'IPA':[0,0,0,3,8,1,0,0],'CO2':[0,0,0,1,0,2,0,0],'Al2O3':[2,0,0,0,0,3,0,0],'ZnO':[0,1,0,0,0,1,0,0],'TiO2':[0,0,1,0,0,2,0,0]}
GASES=list(ATOMS)[:-3];FILMS=['Al2O3','ZnO','TiO2'];MASS={'Al2O3':.101960077,'ZnO':.081379,'TiO2':.079865}
LAWS={'alumina_tma_water':dict(a='TMA',b='H2O',na=2.,nb=3.,film='Al2O3',products={'CH4':6.},plasma=False),
'zinc_dez_water':dict(a='DEZ',b='H2O',na=1.,nb=1.,film='ZnO',products={'C2H6':2.},plasma=False),
'titania_ttip_water':dict(a='TTIP',b='H2O',na=1.,nb=2.,film='TiO2',products={'IPA':4.},plasma=False),
'plasma_tma_oxygen':dict(a='TMA',b='O2',na=2.,nb=12.,film='Al2O3',products={'CO2':6.,'H2O':9.},plasma=True)}
BOOL={'type':'boolean'};TEXT={'type':'string'}
class ActionRejected(ValueError):pass
def number(unit,low=None,high=None):
s={'type':'number','x-unit':unit}
if low is not None:s['minimum']=low
if high is not None:s['maximum']=high
return s
def obj(p):return dict(type='object',properties=p,required=list(p),additionalProperties=False)
def arr(s,n=None):
x=dict(type='array',items=s)
if n is not None:x.update(minItems=n,maxItems=n)
return x
def integer(low,high):return dict(number('1',low,high),type='integer')
def validate(s,v):
t=s.get('type')
if t in ('number','integer'):
if isinstance(v,bool) or not isinstance(v,(int,float)) or not math.isfinite(v):raise ActionRejected('INVALID_ARGUMENT')
if t=='integer' and type(v) is not int:raise ActionRejected('INVALID_ARGUMENT')
if not s.get('minimum',-math.inf)<=v<=s.get('maximum',math.inf):raise ActionRejected('INVALID_ARGUMENT')
elif t=='boolean' and type(v) is not bool:raise ActionRejected('INVALID_ARGUMENT')
elif t=='string' and not isinstance(v,str):raise ActionRejected('INVALID_ARGUMENT')
elif t=='object':
if not isinstance(v,dict) or not set(s['required'])<=v.keys():raise ActionRejected('INVALID_ARGUMENT')
for k,x in v.items():
if k not in s['properties']:raise ActionRejected('INVALID_ARGUMENT')
validate(s['properties'][k],x)
elif t=='array':
if not isinstance(v,list) or not s.get('minItems',0)<=len(v)<=s.get('maxItems',math.inf):raise ActionRejected('INVALID_ARGUMENT')
for x in v:validate(s['items'],x)
if 'enum' in s and v not in s['enum']:raise ActionRejected('INVALID_ARGUMENT')
PHASE=dict(type='string',enum=['idle','running','succeeded','cancelled','failed'])
GASMAP=obj({s:number('mol',0) for s in GASES});FILMMAP=obj({s:number('mol',0) for s in FILMS})
PLANT=obj({'ambient_k':number('K',273.15,313.15),'ambient_pa':number('Pa',90000,110000),'volume_m3':number('m^3',1e-4,.1),'pump_m3_s':number('m^3/s',1e-5,.1),'base_pa':number('Pa',.001,10),'heat_capacity_j_k':arr(number('J/K',100,1e6),3),'heater_max_w':arr(number('W',1,10000),3),'heat_loss_w_k':arr(number('W/K',.01,100),3),'door_coupling_w_k':number('W/K',0,100),'control_gain_w_k':number('W/K',.01,1000),'initial_k':arr(number('K',273.15,573.15),3),'initial_pa':number('Pa',.001,110000),'warm_snapshot':BOOL,'residual_limit_pa':number('Pa',1e-6,1),'purge_timeout_s':number('s',1,3600),'watchdog_s':number('s',.1,86400),'rf_heat_fraction':number('1',0,1),'vent_tau_s':number('s',.1,100),'accept_uncalibrated_model':BOOL})
PLANT_EXAMPLE=dict(ambient_k=298.15,ambient_pa=101325.,volume_m3=.003,pump_m3_s=.003,base_pa=.1,heat_capacity_j_k=[1500.,600.,400.],heater_max_w=[1400.,550.,350.],heat_loss_w_k=[.5,.2,.2],door_coupling_w_k=1.,control_gain_w_k=100.,initial_k=[298.15]*3,initial_pa=101325.,warm_snapshot=False,residual_limit_pa=.01,purge_timeout_s=120.,watchdog_s=3600.,rf_heat_fraction=.1,vent_tau_s=.5,accept_uncalibrated_model=True)
WARM_EXAMPLE=dict(PLANT_EXAMPLE,initial_k=[523.15,523.15,373.15],initial_pa=10.,warm_snapshot=True)
SUPPLY=obj({'bottle_species':arr(dict(type='string',enum=['EMPTY','TMA','H2O','DEZ','TTIP']),4),'bottle_mol':arr(number('mol',0,100),4),'carrier_mol':number('mol',0,1000),'oxygen_mol':number('mol',0,1000),'inlet_gauge_pa':number('Pa',10*6894.757293,20*6894.757293),'cda_gauge_pa':number('Pa',75*6894.757293,85*6894.757293),'accept_host_supply':BOOL})
SUPPLY_EXAMPLE=dict(bottle_species=['TMA','H2O','EMPTY','EMPTY'],bottle_mol=[.01,.03,0.,0.],carrier_mol=.1,oxygen_mol=.1,inlet_gauge_pa=15*6894.757293,cda_gauge_pa=80*6894.757293,accept_host_supply=True)
KINETICS=obj({'law_id':dict(type='string',enum=list(LAWS)),'density_kg_m3':number('kg/m^3',100,25000),'adsorption_pa_s_inv':number('1/(Pa*s)',1e-6,1e5),'conversion_pa_s_inv':number('1/(Pa*s)',1e-6,1e5),'activation_j_mol':number('J/mol',0,2e5),'plasma_site_mol_m2':number('mol/m^2',0,1),'accept_uncalibrated_model':BOOL})
KINETICS_EXAMPLE=dict(law_id='alumina_tma_water',density_kg_m3=3000.,adsorption_pa_s_inv=2.,conversion_pa_s_inv=2.,activation_j_mol=10000.,plasma_site_mol_m2=0.,accept_uncalibrated_model=True)
SAMPLE=obj({'sample_id':TEXT,'area_m2':number('m^2',1e-8,math.pi*.1**2),'accept_host_attachment':BOOL,'accept_initial_hot_snapshot':BOOL})
SAMPLE_EXAMPLE=dict(sample_id='substrate_01',area_m2=.001,accept_host_attachment=True,accept_initial_hot_snapshot=False)
HOT_SAMPLE_EXAMPLE=dict(SAMPLE_EXAMPLE,accept_initial_hot_snapshot=True)
METHOD=obj({'cycles':integer(1,100000),'reactor_k':number('K',273.15,573.15),'door_k':number('K',273.15,573.15),'manifold_k':number('K',273.15,473.15),'pulse_s':arr(number('s',.001,100),2),'exposure_s':arr(number('s',0,600),2),'purge_s':arr(number('s',.001,3600),2),'precursor_mol_s':arr(number('mol/s',1e-12,.1),2),'carrier_std_m3_s':number('m^3/s',0,CARRIER_MAX),'rf_w':number('W',0,300)})
METHOD_EXAMPLE=dict(cycles=2,reactor_k=523.15,door_k=523.15,manifold_k=373.15,pulse_s=[.2,.2],exposure_s=[.5,.5],purge_s=[12.,12.],precursor_mol_s=[2e-4,3e-4],carrier_std_m3_s=100e-6/60,rf_w=0.)
MEASURE=obj({'phase':PHASE,'stage':TEXT,'cycle_completed':integer(0,100000),'temperature_k':arr(number('K',0),3),'pressure_pa':number('Pa',0),'rf_power_w':number('W',0,300),'elapsed_s':number('s',0),'warning':TEXT,'evidence':TEXT})
ESTIMATE=obj({'thickness_m':number('m',0),'material':TEXT,'evidence':TEXT,'template_source':TEXT,'measured':BOOL})
LEDGER=obj({'bottle_remaining_mol':arr(number('mol',0),4),'carrier_remaining_mol':number('mol',0),'oxygen_remaining_mol':number('mol',0),'chamber_mol':GASMAP,'exhaust_mol':GASMAP,'air_added_mol':GASMAP,'film_mol':FILMMAP,'collected_film_mol':FILMMAP,'adsorbed_formula_mol':number('mol',0),'collected_adsorbate_mol':GASMAP,'atom_residual_mol':arr(number('mol'),8),'site_capacity_mol':number('mol',0),'thickness_m':number('m',0),'initial_sensible_j':number('J'),'stored_sensible_j':number('J'),'heater_j':number('J',0),'rf_heat_j':number('J',0),'environment_j':number('J'),'thermal_residual_j':number('J'),'evidence':TEXT})
TEMPLATE=obj({'substance_id':TEXT,'material':TEXT,'gpc_m_cycle':number('m/cycle',0),'temperature_k':number('K',0),'source':TEXT,'evidence':TEXT})
REFERENCE=obj({'reference_id':TEXT,'material':TEXT,'article_doi':TEXT,'dataset':TEXT,'values_raw_json':TEXT,'evidence':TEXT,'runnable':BOOL})
CAPS={}
def cap(k,i,o,c,z,kind='device_command',vis='agent',ex=None):CAPS[k]=(i,o,c,z,kind,vis,ex or {},[])
cap('plant.configure',PLANT,obj({'configured':BOOL}),['body'],'三热节点、有限腔体抽速及一次性初始化','configuration','evaluator',PLANT_EXAMPLE)
cap('gas.install',SUPPLY,obj({'installed':BOOL,'attachment_event':TEXT}),['precursor_port_0','precursor_port_1','precursor_port_2','precursor_port_3','carrier_inlet','plasma_port_1'],'四物料端口/共享载气RF0/可选氧气RF1有限源','configuration','evaluator',SUPPLY_EXAMPLE)
cap('kinetics.configure',KINETICS,obj({'configured':BOOL}),['reactor'],'逐前驱体化学计量与显式动力学;PEALD不复用thermalGPC','configuration','evaluator',KINETICS_EXAMPLE)
cap('sample.install',SAMPLE,obj({'loaded':BOOL,'attachment_event':TEXT}),['end_effector'],'200mm端件内宿主装样;热态仅初始化快照','configuration','evaluator',SAMPLE_EXAMPLE)
cap('sample.collect',obj({'recipient_id':TEXT}),obj({'recipient_id':TEXT,'attachment_event':TEXT}),['end_effector'],'冷却回常压开门后卸样,保留膜和吸附中间体账本','device_command','evaluator',{'recipient_id':'holder'})
cap('method.configure',METHOD,obj({'configured':BOOL}),['laptop_screen'],'脉冲/暴露/清扫/循环和三个温控区;不瞬时推进','configuration','agent',METHOD_EXAMPLE)
cap('power.set',obj({'enabled':BOOL}),obj({'enabled':BOOL}),['power_inlet'],'主电源;关闭气阀和加热,RF实际输出归零',ex={'enabled':True})
cap('rf.power_set',obj({'enabled':BOOL}),obj({'enabled':BOOL}),['rf_power_inlet'],'RF独立供电输入',ex={'enabled':True})
cap('door.set',obj({'opened':BOOL}),obj({'opened':BOOL}),['door'],'安全模型仅允许冷态常压开门,拒绝无副作用',ex={'opened':False})
cap('safety.emo',obj({}),obj({'latched':BOOL}),['emo_port'],'EMO接口代理锁存停气停热,不是真实安全设备')
cap('safety.reset',obj({}),obj({'latched':BOOL}),['emo_port'],'双电源关闭后复位EMO代理')
cap('control.heartbeat',obj({}),obj({'acknowledged':BOOL}),['usb_port'],'显式宿主通信心跳,超时关闭内部阀/RF/热')
cap('vacuum.set',obj({'enabled':BOOL}),obj({'enabled':BOOL}),['vacuum_outlet'],'外部宿主干泵边界,不内建真实泵',ex={'enabled':True})
cap('vacuum.vent',obj({}),obj({'venting':BOOL}),['vent_port'],'有限回气,过程停止后保留全部残留')
cap('acquisition.start',obj({}),obj({'phase':PHASE,'operation_id':TEXT}),['reactor','manifold','icp_head','laptop_screen'],'依次抽空/热稳定/A/清扫/B/清扫;异步分子账本')
cap('acquisition.stop',obj({}),obj({'phase':PHASE}),['laptop_screen'],'关闭进气/RF/热并保留不完全循环和膜')
cap('process.measure',obj({}),MEASURE,['laptop_screen','pressure_gauge'],'理想温压/循环日志,不返回实测膜厚','query')
cap('film.estimate',obj({}),ESTIMATE,['end_effector'],'带模型证据的推断厚度,未安装QCM','query')
cap('product.read',obj({}),LEDGER,['end_effector'],'私有有限物质/元素和显热账本','query','evaluator')
cap('template.read',obj({'substance_id':TEXT}),TEMPLATE,['laptop_screen'],'3种独立原始文献生长参考,不是本机标定','query','agent',{'substance_id':'alumina_tma_water'})
cap('reference.read',obj({'reference_id':TEXT}),REFERENCE,['laptop_screen'],'人工标注原始字段隔离查询,禁止作为已验证recipe','query','agent',{'reference_id':'gold_002'})
SLOTS={};SLOT_ZH={}
def slot(k,s,u,z,o='derived',v='agent',c='body',w=None):SLOTS[k]=(s,u,o,v,[c],w);SLOT_ZH[k]=z
for k in ['plant','method','kinetics']:slot(k+'.configured',BOOL,'1',k+'配置','setpoint')
slot('power.enabled',BOOL,'1','主机电源','setpoint',w=('power.set','enabled'))
slot('rf.enabled',BOOL,'1','RF独立电源','setpoint',c='rf_supply',w=('rf.power_set','enabled'))
slot('door.opened',BOOL,'1','前门状态','scene',c='door',w=('door.set','opened'))
slot('door.angle_rad',number('rad',0,math.radians(100)),'rad','左铰链向前100°工程代理','scene',c='door')
for i,n in enumerate(['reactor','door','manifold']):
slot(n+'.temperature_k',number('K',0),'K',n+'理想温度量化0.1K,不是标定实测',c=n)
slot(n+'.setpoint_k',number('K',273.15,573.15 if i<2 else 473.15),'K',n+'温控设定','setpoint',c=n)
slot('vacuum.pressure_pa',number('Pa',0),'Pa','腔内绝压,混合气体模型',c='pressure_gauge')
slot('vacuum.enabled',BOOL,'1','宿主泵隔离请求','setpoint',c='vacuum_outlet',w=('vacuum.set','enabled'))
slot('vacuum.angle_rad',number('rad',0,math.pi/2),'rad','内部真空隔离阀角度代理','scene',c='vacuum_valve')
slot('carrier.flow_std_m3_s',number('m^3/s',0,CARRIER_MAX),'m^3/s','唯一载气流率,RF入口0共享而非另加一份',c='carrier_mfc')
slot('carrier.travel_m',number('m',0,.002),'m','载气内部NC阀代理行程','scene',c='carrier_valve')
for i in range(4):slot('precursor.valve_'+str(i)+'_m',number('m',0,.002),'m','第'+str(i+1)+'路高速NC阀代理','scene',c='precursor_valve_'+str(i))
slot('plasma.travel_m',number('m',0,.002),'m','RF用户氧气入口1内部NC阀代理','scene',c='plasma_valve')
slot('rf.power_w',number('W',0,300),'W','RF实际模型输出,仅B等离子暴露阶段',c='rf_supply')
slot('cycle.phase',PHASE,'1','操作生命周期')
slot('cycle.stage',TEXT,'1','抽空、稳定、A、清扫、B阶段')
slot('cycle.completed',integer(0,100000),'1','两次清扫完成的完整循环数')
slot('cycle.elapsed_s',number('s',0),'s','本操作宿主时间')
slot('safety.emo_latched',BOOL,'1','软件EMO锁存非认证互锁',c='emo_port')
slot('safety.warning',TEXT,'1','模型告警')
slot('truth.ledger',LEDGER,'1','元素、吸附、沉积、有限源、局部热模型私有真值','process_truth','evaluator','end_effector')
for k in CAPS:
if CAPS[k][4]!='query':CAPS[k][7].extend(SLOTS)
class ArradianceGemstarxtRuntime:
def __init__(self,instance_id='gemstarxt_01'):
self.instance_id=instance_id;lib=json.loads((ROOT/TEMPLATE_REL).read_text());self.templates={r['substance_id']:r for r in lib['templates']};self.references={r['reference_id']:r for r in lib['curated_references']}
self.time_s=0.;self.initialized_at_s=None;self.revision=0;self.plant=None;self.supply=None;self.kinetics=None;self.sample=None;self.method=None
self.temp=[298.15]*3;self.target=list(self.temp);self.heater=[0.]*3;self.powered=False;self.rf_enabled=False;self.opened=True;self.pump=False;self.vent=False;self.emo=False;self.heartbeat_age=0.
self.gas={s:0. for s in GASES};self.initial_gas=dict(self.gas);self.air=dict(self.gas);self.exhaust=dict(self.gas);self.collected_ads=dict(self.gas)
self.remaining=[0.]*4;self.carrier=0.;self.oxygen=0.;self.film={s:0. for s in FILMS};self.collected=dict(self.film);self.adsorbed=0.;self.converted_cycle=0.;self.capacity=0.
self.valves=[0.]*4;self.carrier_flow=0.;self.plasma_valve=0.;self.rf=0.;self.thermal_initial=0.;self.thermal_heater=0.;self.thermal_rf=0.;self.thermal_environment=0.
self.phase='idle';self.stage='idle';self.elapsed_s=0.;self.stage_elapsed=0.;self.completed=0;self.warning='';self.operation_id='';self._operation_count=0;self.cycles_log=[];self.log=[]
self._principals={'__public_agent__':'agent'};self._requests={};self._owners={};self._sample_ids=set()
def register_principal(self,principal_id,visibility='agent'):
if visibility not in ('agent','debug','evaluator') or not isinstance(principal_id,str) or not principal_id:raise ActionRejected('INVALID_ARGUMENT')
if principal_id in self._principals:raise ActionRejected('REQUEST_CONFLICT')
self._principals[principal_id]=visibility
def session(self,principal_id='__public_agent__'):
if principal_id not in self._principals:raise ActionRejected('ACCESS_DENIED')
return ArradianceGemstarxtSession(self,principal_id)
def describe(self):return self.session().describe(instance_id=self.instance_id)
def debug_snapshot(self):return copy.deepcopy({k:v for k,v in self.__dict__.items() if k not in ['templates','references']})
def _p(self,s=None):return (self.gas[s] if s else sum(self.gas.values()))*R*self.temp[0]/self.plant['volume_m3'] if self.plant else 0.
def _stored(self):return sum(c*(t-self.plant['ambient_k']) for c,t in zip(self.plant['heat_capacity_j_k'],self.temp)) if self.plant else 0.
def _thickness(self):
if not self.sample or not self.kinetics:return 0.
return sum(self.film[f]*MASS[f] for f in FILMS)/(self.sample['area_m2']*self.kinetics['density_kg_m3'])
def _ledger(self):
incoming={s:self.initial_gas[s]+self.air[s] for s in GASES};outgoing={s:self.gas[s]+self.exhaust[s]+self.collected_ads[s] for s in GASES}
if self.supply:
for i,s in enumerate(self.supply['bottle_species']):
if s!='EMPTY':incoming[s]+=self.supply['bottle_mol'][i];outgoing[s]+=self.remaining[i]
incoming['AR']+=self.supply['carrier_mol'];incoming['O2']+=self.supply['oxygen_mol'];outgoing['AR']+=self.carrier;outgoing['O2']+=self.oxygen
if self.kinetics:
law=LAWS[self.kinetics['law_id']];outgoing[law['a']]+=self.adsorbed*law['na']
delta=[sum((incoming[s]-outgoing[s])*ATOMS[s][i] for s in GASES)-sum((self.film[f]+self.collected[f])*ATOMS[f][i] for f in FILMS) for i in range(8)]
return dict(bottle_remaining_mol=list(self.remaining),carrier_remaining_mol=self.carrier,oxygen_remaining_mol=self.oxygen,chamber_mol=dict(self.gas),exhaust_mol=dict(self.exhaust),air_added_mol=dict(self.air),film_mol=dict(self.film),collected_film_mol=dict(self.collected),adsorbed_formula_mol=self.adsorbed,collected_adsorbate_mol=dict(self.collected_ads),atom_residual_mol=delta,site_capacity_mol=self.capacity,thickness_m=self._thickness(),initial_sensible_j=self.thermal_initial,stored_sensible_j=self._stored(),heater_j=self.thermal_heater,rf_heat_j=self.thermal_rf,environment_j=self.thermal_environment,thermal_residual_j=self.thermal_initial+self.thermal_heater+self.thermal_rf-self.thermal_environment-self._stored(),evidence='synthetic finite-species and lumped sensible-energy model; no reaction/flow enthalpy or hardware thickness validation')
def read(self,visibility='agent'):
if visibility not in ('agent','debug','evaluator'):raise ActionRejected('ACCESS_DENIED')
v={'plant.configured':bool(self.plant),'method.configured':bool(self.method),'kinetics.configured':bool(self.kinetics),'power.enabled':self.powered,'rf.enabled':self.rf_enabled,'door.opened':self.opened,'door.angle_rad':math.radians(100) if self.opened else 0.,'vacuum.pressure_pa':self._p(),'vacuum.enabled':self.pump,'vacuum.angle_rad':math.pi/2 if self.pump and not self.opened else 0.,'carrier.flow_std_m3_s':self.carrier_flow,'carrier.travel_m':.002 if self.carrier_flow else 0.,'plasma.travel_m':self.plasma_valve,'rf.power_w':self.rf,'cycle.phase':self.phase,'cycle.stage':self.stage,'cycle.completed':self.completed,'cycle.elapsed_s':self.elapsed_s,'safety.emo_latched':self.emo,'safety.warning':self.warning,'truth.ledger':self._ledger()}
for i,n in enumerate(['reactor','door','manifold']):v[n+'.temperature_k']=round(self.temp[i]-273.15,1)+273.15;v[n+'.setpoint_k']=self.target[i]
for i in range(4):v['precursor.valve_'+str(i)+'_m']=self.valves[i]
return copy.deepcopy({k:x for k,x in v.items() if visibility!='agent' or SLOTS[k][3]=='agent'})
def invoke(self,capability_id,**a):
if capability_id not in CAPS:raise ActionRejected('UNKNOWN_CAPABILITY')
validate(CAPS[capability_id][0],a);old=self.debug_snapshot()
try:
r=self._invoke(capability_id,a);validate(CAPS[capability_id][1],r)
if CAPS[capability_id][4]!='query':self.revision+=1;self.log.append(dict(time_s=self.time_s,event=capability_id,phase=self.phase,stage=self.stage))
return copy.deepcopy(r)
except Exception:
t=self.templates;refs=self.references;self.__dict__.clear();self.__dict__.update(old);self.templates=t;self.references=refs;raise
def _idle(self):
if self.phase=='running':raise ActionRejected('BUSY')
def _stop(self,phase='cancelled',warning=''):
if self.phase=='running':self.phase=phase;self.stage='finished'
self.heater=[0.]*3;self.rf=0.;self.valves=[0.]*4;self.carrier_flow=0.;self.plasma_valve=0.
if warning:self.warning=warning
if warning in ['POWER_OFF','EMO_LATCHED','WATCHDOG_TIMEOUT']:self.pump=False
def _cold(self):
self._idle()
if self.powered or self.rf_enabled or max(self.temp)>333.15 or not self.plant or abs(self._p()-self.plant['ambient_pa'])>self.plant['ambient_pa']*.01:raise ActionRejected('COLD_VENTED_ACCESS_REQUIRED')
def _invoke(self,k,a):
if k=='template.read':
if a['substance_id'] not in self.templates:raise ActionRejected('UNKNOWN_REFERENCE')
r=self.templates[a['substance_id']];return dict(substance_id=r['substance_id'],material=r['name'],gpc_m_cycle=r['value'],temperature_k=r['conditions']['temperature_k'],source=r['source']['url'],evidence=r['evidence'])
if k=='reference.read':
if a['reference_id'] not in self.references:raise ActionRejected('UNKNOWN_REFERENCE')
r=self.references[a['reference_id']];return dict(reference_id=r['reference_id'],material=r['material'] or '',article_doi=r['source']['article_doi'] or '',dataset=r['source']['dataset'],values_raw_json=json.dumps(r['values'],ensure_ascii=False),evidence=r['evidence_detail'],runnable=False)
if k=='product.read':return self._ledger()
if k=='process.measure':return dict(phase=self.phase,stage=self.stage,cycle_completed=self.completed,temperature_k=[round(t-273.15,1)+273.15 for t in self.temp],pressure_pa=self._p(),rf_power_w=self.rf,elapsed_s=self.elapsed_s,warning=self.warning,evidence='ideal model telemetry, not measured instrument data')
if k=='film.estimate':
sid=self.kinetics['law_id'] if self.kinetics else ''
return dict(thickness_m=round(self._thickness(),13),material=LAWS[sid]['film'] if sid else '',evidence='synthetic_lumped_surface_model_not_measured',template_source=self.templates[sid]['source']['url'] if sid in self.templates else 'host_assumed_plasma_site_capacity_no_measured_GPC',measured=False)
if k=='plant.configure':
if self.plant or not a['accept_uncalibrated_model']:raise ActionRejected('INITIALIZATION_ONLY')
if a['initial_k'][2]>473.15 or a['initial_pa']<a['base_pa'] or sum(a['heater_max_w'])>2400.:raise ActionRejected('INVALID_ARGUMENT')
if not a['warm_snapshot'] and (a['initial_k']!=[a['ambient_k']]*3 or a['initial_pa']!=a['ambient_pa']):raise ActionRejected('EXPLICIT_WARM_SNAPSHOT_REQUIRED')
self.plant=copy.deepcopy(a);self.temp=list(a['initial_k']);self.target=list(self.temp);self.initialized_at_s=self.time_s;self.opened=not a['warm_snapshot']
n=a['initial_pa']*a['volume_m3']/(R*self.temp[0]);self.gas['AR']=n if a['warm_snapshot'] else 0.;self.gas['N2']=0. if a['warm_snapshot'] else .79*n;self.gas['O2']=0. if a['warm_snapshot'] else .21*n;self.initial_gas=dict(self.gas);self.thermal_initial=self._stored();return {'configured':True}
if not self.plant:raise ActionRejected('PRECONDITION_FAILED')
if k=='gas.install':
self._idle()
if self.supply or not a['accept_host_supply'] or self.time_s!=self.initialized_at_s:raise ActionRejected('INITIALIZATION_ONLY')
nonempty=[s for s in a['bottle_species'] if s!='EMPTY']
if len(set(nonempty))!=len(nonempty) or any((s=='EMPTY')!=(n==0.) for s,n in zip(a['bottle_species'],a['bottle_mol'])):raise ActionRejected('INVALID_ARGUMENT')
self.supply=copy.deepcopy(a);self.remaining=list(a['bottle_mol']);self.carrier=a['carrier_mol'];self.oxygen=a['oxygen_mol'];return dict(installed=True,attachment_event='host.attach.finite_supplies')
if k=='kinetics.configure':
self._idle()
if self.sample or self.adsorbed or not a['accept_uncalibrated_model']:raise ActionRejected('PRECONDITION_FAILED')
if LAWS[a['law_id']]['plasma']!=(a['plasma_site_mol_m2']>0):raise ActionRejected('PLASMA_CAPACITY_REQUIRED')
self.kinetics=copy.deepcopy(a);self.method=None;return {'configured':True}
if k=='sample.install':
self._idle()
if not self.kinetics or self.sample or not a['accept_host_attachment'] or not a['sample_id'] or a['sample_id'] in self._sample_ids:raise ActionRejected('PRECONDITION_FAILED')
warm=self.plant['warm_snapshot'] and a['accept_initial_hot_snapshot'] and self.time_s==self.initialized_at_s and not self.powered
if not warm:
self._cold()
if not self.opened:raise ActionRejected('PRECONDITION_FAILED')
self.sample=copy.deepcopy(a);self._sample_ids.add(a['sample_id']);sid=self.kinetics['law_id'];law=LAWS[sid]
self.capacity=(self.kinetics['plasma_site_mol_m2']*a['area_m2'] if law['plasma'] else self.templates[sid]['value']*self.kinetics['density_kg_m3']*a['area_m2']/MASS[law['film']])
return dict(loaded=True,attachment_event='host.attach.substrate')
if k=='sample.collect':
self._cold()
if not self.opened or not self.sample or not a['recipient_id']:raise ActionRejected('PRECONDITION_FAILED')
for f in FILMS:self.collected[f]+=self.film[f];self.film[f]=0.
law=LAWS[self.kinetics['law_id']];self.collected_ads[law['a']]+=self.adsorbed*law['na'];self.adsorbed=0.;self.capacity=0.;self.sample=None
return dict(recipient_id=a['recipient_id'],attachment_event='host.release.substrate_with_film_and_bound_precursor')
if k=='method.configure':
self._idle()
if not self.kinetics:raise ActionRejected('PRECONDITION_FAILED')
sid=self.kinetics['law_id'];plasma=LAWS[sid]['plasma']
if plasma!=(a['rf_w']>0.):raise ActionRejected('PLASMA_POWER_REQUIRED')
if not plasma and abs(a['reactor_k']-self.templates[sid]['conditions']['temperature_k'])>1.:raise ActionRejected('REFERENCE_TEMPERATURE_RANGE')
self.method=copy.deepcopy(a);self.target=[a[n+'_k'] for n in ['reactor','door','manifold']];return {'configured':True}
if k in ['power.set','rf.power_set']:
if a['enabled'] and self.emo:raise ActionRejected('EMO_LATCHED')
if k=='power.set':self.powered=a['enabled']
else:self.rf_enabled=a['enabled']
if not a['enabled']:self._stop(warning='POWER_OFF')
self.heartbeat_age=0.;return {'enabled':a['enabled']}
if k=='door.set':
self._idle()
if a['opened']:self._cold();self.pump=False
self.opened=a['opened'];return {'opened':a['opened']}
if k=='safety.emo':self.emo=True;self._stop(warning='EMO_LATCHED');return {'latched':True}
if k=='safety.reset':
if self.powered or self.rf_enabled:raise ActionRejected('PRECONDITION_FAILED')
self.emo=False;self.warning='';return {'latched':False}
if k=='control.heartbeat':self.heartbeat_age=0.;return {'acknowledged':True}
if k=='vacuum.set':
self._idle()
if a['enabled'] and (self.opened or self.vent):raise ActionRejected('PRECONDITION_FAILED')
self.pump=a['enabled'];return {'enabled':a['enabled']}
if k=='vacuum.vent':
self._idle();self._stop();self.pump=False;self.vent=True;return {'venting':True}
if k=='acquisition.start':
self._idle()
if not self.powered or self.emo or self.opened or self.vent or not self.supply or not self.sample or not self.kinetics or not self.method:raise ActionRejected('PRECONDITION_FAILED')
law=LAWS[self.kinetics['law_id']]
if law['plasma'] and (not self.rf_enabled or not self.oxygen):raise ActionRejected('PRECONDITION_FAILED')
for s in [law['a']]+([] if law['plasma'] else [law['b']]):
if s not in self.supply['bottle_species'] or self.remaining[self.supply['bottle_species'].index(s)]<=0:raise ActionRejected('SOURCE_EMPTY')
if self.method['carrier_std_m3_s']<=0 or self.carrier<=0:raise ActionRejected('SOURCE_EMPTY')
self._operation_count+=1;self.operation_id=self.instance_id+':ald:'+str(self._operation_count);self.phase='running';self.stage='evacuate';self.elapsed_s=0.;self.stage_elapsed=0.;self.completed=0;self.converted_cycle=0.;self.warning='';self.pump=True;self.heartbeat_age=0.;return dict(phase=self.phase,operation_id=self.operation_id)
if k=='acquisition.stop':self._stop();return {'phase':self.phase}
raise ActionRejected('UNKNOWN_CAPABILITY')
def _out(self,f):
for s in GASES:n=self.gas[s]*f;self.gas[s]-=n;self.exhaust[s]+=n
def _transition(self,stage):self.stage=stage;self.stage_elapsed=0.
def _take(self,s,n):
if s=='AR':available=self.carrier;self.carrier-=min(n,available)
elif s=='O2':available=self.oxygen;self.oxygen-=min(n,available)
else:
i=self.supply['bottle_species'].index(s);available=self.remaining[i];self.remaining[i]-=min(n,available);self.valves[i]=.002
taken=min(n,available);self.gas[s]+=taken
if taken<n*(1-1e-10):self._stop('failed','SOURCE_EXHAUSTED')
return taken
def step(self,dt):
validate(number('s',0,86400),dt)
if not self.plant:
if dt:self.time_s+=dt;self.revision+=1
return
left=dt
while left>1e-12:
h=min(.02,left)
if self.phase=='running' and self.method:
durations={'pulse_a':self.method['pulse_s'][0],'exposure_a':self.method['exposure_s'][0],'pulse_b':self.method['pulse_s'][1],'exposure_b':self.method['exposure_s'][1]}
if self.stage in durations:
h=min(h,max(0.,durations[self.stage]-self.stage_elapsed))
if h<1e-12:
self._transition({'pulse_a':'exposure_a','exposure_a':'purge_a','pulse_b':'exposure_b','exposure_b':'purge_b'}[self.stage]);continue
self._step(h);self.time_s+=h;left-=h
if dt:self.revision+=1
def _step(self,dt):
p=self.plant;old_stage=self.stage;self.valves=[0.]*4;self.carrier_flow=0.;self.plasma_valve=0.;self.rf=0.;self.heater=[0.]*3;self.heartbeat_age+=dt
if self.powered and self.heartbeat_age>p['watchdog_s']:self._stop('failed','WATCHDOG_TIMEOUT');self.emo=True
if self.phase=='running':
self.elapsed_s+=dt;self.stage_elapsed+=dt
if self.stage=='evacuate' and self._p()<=200.:self._transition('stabilize')
if self.stage in ['evacuate','stabilize'] and self.elapsed_s>p['purge_timeout_s']*20:self._stop('failed','CONDITION_TIMEOUT')
if self.stage=='stabilize' and max(abs(t-sp) for t,sp in zip(self.temp,self.target))<=1. and self._p()<=200.:self._transition('pulse_a')
active=self.phase=='running'
if active:
law=LAWS[self.kinetics['law_id']];m=self.method
if self.stage!='evacuate':
n=self._take('AR',m['carrier_std_m3_s']*STD_P/(R*STD_T)*dt);self.carrier_flow=n*R*STD_T/STD_P/dt
if self.phase=='running' and self.stage=='pulse_a' and old_stage=='pulse_a':self._take(law['a'],m['precursor_mol_s'][0]*dt)
if self.phase=='running' and self.stage=='pulse_b':
self._take(law['b'],m['precursor_mol_s'][1]*dt)
if law['plasma']:self.plasma_valve=.002
if self.phase=='running' and law['plasma'] and self.stage in ['pulse_b','exposure_b']:
self.rf=m['rf_w'] if self.rf_enabled else 0.
if self.pump and not self.opened and not self.vent:
n=sum(self.gas.values());base=p['base_pa']*p['volume_m3']/(R*self.temp[0]);fraction=(1-math.exp(-p['pump_m3_s']*dt/p['volume_m3']))*max(0.,n-base)/max(n,1e-300);self._out(fraction)
if self.vent:
target=p['ambient_pa']*p['volume_m3']/(R*self.temp[0]);dn=(target-sum(self.gas.values()))*(1-math.exp(-dt/p['vent_tau_s']))
if dn>=0:
for s,f in [('N2',.79),('O2',.21)]:self.gas[s]+=dn*f;self.air[s]+=dn*f
else:self._out(-dn/max(sum(self.gas.values()),1e-300))
if abs(self._p()-p['ambient_pa'])<.1:self.vent=False
if self.phase=='running' and self.sample:
k=self.kinetics;law=LAWS[k['law_id']];ref=self.templates[k['law_id']]['conditions']['temperature_k'] if not law['plasma'] else self.method['reactor_k']
thermal=math.exp(max(-50.,min(50.,-k['activation_j_mol']/R*(1/self.temp[0]-1/ref))))
if self.stage in ['pulse_a','exposure_a','purge_a'] and old_stage==self.stage:
free=max(0.,self.capacity-self.adsorbed-self.converted_cycle);extent=min(free*(-math.expm1(-min(700.,k['adsorption_pa_s_inv']*thermal*self._p(law['a'])*dt))),self.gas[law['a']]/law['na'])
self.gas[law['a']]-=extent*law['na'];self.adsorbed+=extent
if self.stage in ['pulse_b','exposure_b','purge_b']:
factor=self.rf/300. if law['plasma'] else 1.
extent=min(self.adsorbed*(-math.expm1(-min(700.,k['conversion_pa_s_inv']*thermal*factor*self._p(law['b'])*dt))),self.gas[law['b']]/law['nb'])
self.gas[law['b']]-=extent*law['nb'];self.adsorbed-=extent;self.film[law['film']]+=extent;self.converted_cycle+=extent
for s,c in law['products'].items():self.gas[s]+=extent*c
if self.stage in ['purge_a','purge_b']:
b=self.stage=='purge_b';s=law['b'] if b else law['a']
# PEALD purge also clears product water before the next metal precursor pulse.
residual=max(self._p(s),self._p('H2O') if law['plasma'] and b else 0.)
if self.stage_elapsed>p['purge_timeout_s']+self.method['purge_s'][int(b)]:self._stop('failed','PURGE_RESIDUAL_TIMEOUT')
elif self.stage_elapsed>=self.method['purge_s'][int(b)] and residual<=p['residual_limit_pa']:
if b:
self.completed+=1;self.cycles_log.append(dict(time_s=self.time_s+dt,cycle=self.completed,extent_mol=self.converted_cycle,adsorbed_mol=self.adsorbed,thickness_m=self._thickness(),residual_pa=residual,evidence='synthetic'))
if self.completed==self.method['cycles']:self._stop('succeeded')
else:self.converted_cycle=0.;self._transition('pulse_a')
else:self._transition('pulse_b')
# Explicit sensible thermal boundary: no reaction enthalpy, gas enthalpy or hardware power metering.
heat=[0.]*3
for i in range(3):
if self.phase=='running' and self.powered and not self.opened and not self.emo:
self.heater[i]=min(p['heater_max_w'][i],max(0.,p['control_gain_w_k']*(self.target[i]-self.temp[i])+p['heat_loss_w_k'][i]*(self.target[i]-p['ambient_k'])))
loss=p['heat_loss_w_k'][i]*(self.temp[i]-p['ambient_k']);heat[i]=(self.heater[i]-loss)*dt;self.thermal_heater+=self.heater[i]*dt;self.thermal_environment+=loss*dt
coupling=p['door_coupling_w_k']*(self.temp[0]-self.temp[1])*dt;heat[0]-=coupling;heat[1]+=coupling
rfheat=self.rf*p['rf_heat_fraction']*dt;heat[0]+=rfheat;self.thermal_rf+=rfheat
self.temp=[t+q/c for t,q,c in zip(self.temp,heat,p['heat_capacity_j_k'])]
if self.phase=='running' and (self.temp[0]>574.15 or self.temp[1]>574.15 or self.temp[2]>474.15):self._stop('failed','MODEL_OVERTEMPERATURE')
if self.phase!='running':self.valves=[0.]*4;self.carrier_flow=0.;self.plasma_valve=0.;self.rf=0.;self.heater=[0.]*3
class ArradianceGemstarxtSession:
"""Only the trusted host assigns roles; returned data obey the same boundary."""
def __init__(self,host,principal_id):self._host=host;self._principal=principal_id
@property
def _role(self):return self._host._principals[self._principal]
def _target(self,i):
if i!=self._host.instance_id:raise ActionRejected('UNKNOWN_INSTANCE')
def describe(self,*,instance_id=None,asset_type_id=None):
if (instance_id is None)==(asset_type_id is None):raise ActionRejected('INVALID_ARGUMENT')
if instance_id is not None:self._target(instance_id)
if asset_type_id is not None and asset_type_id!=ASSET_TYPE_ID:raise ActionRejected('UNKNOWN_INSTANCE')
m=export_arradiance_gemstarxt_contract_metadata();return dict(protocol_version=PROTOCOL_VERSION,asset_type_id=ASSET_TYPE_ID,asset_version='1.0.0',capabilities={k:v for k,v in m['capabilities'].items() if v['visibility']=='agent' or self._role!='agent'},state_slots={k:v for k,v in m['state_slots'].items() if v['visibility']=='agent' or self._role!='agent'})
def read(self,*,instance_id,state_ids=None):
self._target(instance_id);h=self._host;v=h.read(self._role);ids=list(v) if state_ids is None else state_ids
if not isinstance(ids,list) or any(not isinstance(k,str) for k in ids):raise ActionRejected('INVALID_ARGUMENT')
if any(k not in v for k in ids):raise ActionRejected('ACCESS_DENIED')
return dict(status='succeeded',instance_id=instance_id,state_revision=h.revision,clock={'domain':'simulation','time_s':h.time_s},observations={k:dict(value=v[k],unit=SLOTS[k][1],quality='estimated' if SLOTS[k][2]=='derived' else 'valid',sample_time_s=h.time_s,sample_window_s=None) for k in ids})
def invoke(self,*,instance_id,capability_id,arguments,request_id):
h=self._host
try:
self._target(instance_id)
if not isinstance(capability_id,str) or capability_id not in CAPS:raise ActionRejected('UNKNOWN_CAPABILITY')
if self._role=='agent' and CAPS[capability_id][5]!='agent':raise ActionRejected('ACCESS_DENIED')
if not isinstance(request_id,str) or not request_id:raise ActionRejected('INVALID_ARGUMENT')
validate(CAPS[capability_id][0],arguments);key=(self._principal,instance_id,request_id);digest=json.dumps([capability_id,arguments],sort_keys=True,allow_nan=False)
if key in h._requests:
old,result=h._requests[key]
if old!=digest:raise ActionRejected('REQUEST_CONFLICT')
return copy.deepcopy(result)
result=h.invoke(capability_id,**arguments);op=result.get('operation_id')
if op:h._owners[op]=self._principal
response=dict(protocol_version=PROTOCOL_VERSION,instance_id=instance_id,request_id=request_id,operation_id=op,status='accepted' if op else 'succeeded',state_revision=h.revision,clock={'domain':'simulation','time_s':h.time_s},result=result,observations={},error=None);h._requests[key]=(digest,copy.deepcopy(response));return response
except ActionRejected as exc:return dict(protocol_version=PROTOCOL_VERSION,instance_id=instance_id,request_id=request_id,operation_id=None,status='rejected',state_revision=h.revision,clock={'domain':'simulation','time_s':h.time_s},result={},observations={},error=dict(code=str(exc),message=str(exc),retryable=False,side_effects='none'))
def write(self,*,instance_id,state_id,value,request_id):
self._target(instance_id)
if state_id not in SLOTS or not SLOTS[state_id][5]:raise ActionRejected('ACCESS_DENIED')
cap,arg=SLOTS[state_id][5];return self.invoke(instance_id=instance_id,capability_id=cap,arguments={arg:value},request_id=request_id)
def poll(self,operation_id):
h=self._host
if operation_id!=h.operation_id or h._owners.get(operation_id)!=self._principal:raise ActionRejected('ACCESS_DENIED')
return dict(operation_id=operation_id,status=h.phase,result=h.invoke('process.measure'))
def cancel(self,operation_id,request_id):
self.poll(operation_id);return self.invoke(instance_id=self._host.instance_id,capability_id='acquisition.stop',arguments={},request_id=request_id)
def export_arradiance_gemstarxt_contract_metadata():
caps={};slots={}
for k,(s,u,o,v,c,w) in SLOTS.items():
slots[k]=dict(meaning_zh=SLOT_ZH[k],component_ids=c,value_schema=copy.deepcopy(s),unit=u,reference_conditions=None,origin=o,visibility=v,access='read_write' if w else 'read_only',read_binding=dict(backend='host',artifact_id='runtime',accessor=f'ArradianceGemstarxtSession.read(state_ids=[{k!r}])'),write_via=dict(capability_id=w[0],argument=w[1],fixed_arguments={}) if w else None,sampling=dict(mode='instant',time_domain='simulation',window_description=None),source_ids=['simulation_assumption'])
evolving=[k for k,v in SLOTS.items() if v[2] in ['scene','derived','process_truth']]
for k,(inp,out,c,z,kind,vis,ex,effects) in CAPS.items():
asynchronous=k=='acquisition.start';query=kind=='query'
caps[k]=dict(function_zh=z,kind=kind,visibility=vis,component_ids=c,availability='implemented',input_schema=copy.deepcopy(inp),output_schema=copy.deepcopy(out),implementation=dict(process='implemented',scene='absent',robot='absent',hardware='absent',host='implemented'),binding=dict(backend='host',artifact_id='runtime',entrypoint='asset_runtime.arradiance_gemstarxt.ArradianceGemstarxtSession.invoke',invocation=f'session.invoke(instance_id="gemstarxt_01",capability_id={k!r},arguments={ex!r},request_id="unique")'),preconditions=[] if query else [dict(description_zh='已配置/双电源/门冷态常压/有限气源/前驱体关联/宿主权限',state_ids=['power.enabled','rf.enabled','door.opened','cycle.phase'],enforced_by='runtime',check='atomic Runtime.invoke and trusted-principal Session')],
state_effects=[] if query else [dict(state_id=s,timing='immediate',description_zh='受检设置或宿主装载') for s in effects]+[dict(state_id=s,timing='on_step',description_zh='唯一宿主时钟推进') for s in evolving],observes=[],model_effects=dict(mode='none',description_zh='等待独立场景实测证据',binding_ids=[]),
execution=dict(mode='asynchronous' if asynchronous else 'synchronous',time_domain='simulation',completion_criterion='完整A/清扫/B/清扫循环计数达到设定,残余反应物在工程阈值下;不表示冷却可卸样' if asynchronous else '事务完成;不瞬间设置物理温度或压力',completion_state_ids=['cycle.phase'] if asynchronous else [],timeout_s=None,cancellation='supported' if asynchronous else 'unsupported',retry='same_request_id',resources=['host_clock','finite_sources','substrate','reactor','pump','request_cache'],partial_failure_zh='取消停进气/RF/热,保留真空、吸附前驱体、膜、气体残留和余热。去重限进程内。'),
errors=[dict(code=e,meaning_zh=e,side_effects='none') for e in ['INVALID_ARGUMENT','UNKNOWN_INSTANCE','UNKNOWN_CAPABILITY','PRECONDITION_FAILED','ACCESS_DENIED','REQUEST_CONFLICT','UNKNOWN_REFERENCE','INITIALIZATION_ONLY','EXPLICIT_WARM_SNAPSHOT_REQUIRED','COLD_VENTED_ACCESS_REQUIRED','PLASMA_CAPACITY_REQUIRED','PLASMA_POWER_REQUIRED','REFERENCE_TEMPERATURE_RANGE','EMO_LATCHED','BUSY','SOURCE_EMPTY']],
example_arguments=copy.deepcopy(ex),verification=[],limitations=['集总表面反应与有限物料教学模型;不是原厂recipe、逐分子反应路径或真实安全控制'],source_ids=['manufacturer_primary','simulation_assumption'])
mech=dict(component_ids=['reactor','door','manifold','end_effector','icp_head','carrier_mfc']+['precursor_valve_'+str(i) for i in range(4)],state_ids=list(slots),meaning_zh='不同前驱体的有限吸附/转化半反应、清扫与三热节点',implementation='lumped',
equations=['P_i=n_i*R*Treactor/V; dn_carrier=Qstd*101325/(R*273.15)*dt; one shared carrier ledger also serves RF inlet0',
'Thermal site_capacity=A*rho*GPC_ref/Mfilm; each reference at its own reported temperature only (±1K model window); PEALD capacity=A*host_site_mol_m2',
'A pulse/exposure/purge: dx=min(free_sites*(1-exp(-host_ka*pA*Arrhenius*dt)),nA/nuA), nA-=nuA*dx; bound intermediate contains intact net precursor formula',
'B pulse/exposure/purge: dx=min(bound*(1-exp(-host_kb*pB*Arrhenius*power_factor*dt)),nB/nuB); bound-=dx, film+=dx; finite gas products by each net stoichiometry',
'Thermal: 2TMA+3H2O->Al2O3+6CH4; DEZ+H2O->ZnO+2C2H6; TTIP+2H2O->TiO2+4IPA',
'PEALD overall oxidation proxy only: 2TMA+12O2->Al2O3+6CO2+9H2O; power_factor=RF/300; no conversion when RF=0; no copied thermalGPC',
'n_out_i=n_i*(1-exp(-S*dt/V))*(1-n_base/n_total); purge must satisfy configured min time and residual partial pressure before advancing; water product also purged after PEALD',
'thickness=sum(nfilm*Mfilm)/(rho*A); collected products and bound precursors remain in elemental ledger; every element including ligands conserved',
'Ci*dTi=heater_i*dt-Ui*(Ti-Tamb)*dt+internal_door_coupling+host_fraction*RF*dt; heaters bounded by explicit host ratings, three setpoint limits documented',
'Host.step sole clock; integration<=0.02s and clipped to every pulse/exposure boundary; no hidden advancement by read/describe; NC gas valves and RF off on stop/EMO/watchdog/powerloss'],
parameters={},source_ids=['manufacturer_primary','alumina_primary','zinc_primary','titania_primary','simulation_assumption'],
limitations=['只有3个热ALD材料的原始文献名义GPC,109人工标注行/45规范化标签仅离线参考,非50种本机标定工艺。',
'表面中间体为守恒净反应等效物,不含逐配体裂解/成核/岛长大/高深宽比输运/表面OH位点与缺陷演化。',
'密度、热容、动力学、腔容、有效抽速、压力阈值/超时、阀行程均显式assumption;不代表实测阀时序/热精度/生长率。',
'PEALD仅TMA/O2一套未标定净反应;自由基密度/气体电离/鞘层/复合/离子能量/ICP场均未求解。',
'能量账本仅集总显热,不包含反应热/气流焓/化学能;不能声称完整反应器能量守恒。',
'QCM/电容规/臭氧源/450°C台/双歧管/外部退火未安装;全GEMFlowGUI/真实USB/机器人附着/实物测厚均absent。'])
spec=importlib.util.spec_from_file_location('_gemstar_annotations',ROOT/'scripts/asset_runtime/_annotations.py');ann=importlib.util.module_from_spec(spec);spec.loader.exec_module(ann);ann.KEY_ZH.update(SLOT_ZH);ann.TRUTH_ZH.update(SLOT_ZH)
ann.annotate_export(SLUG,caps,slots,{'ald':mech},inputs={'plant.configure':(PLANT,PLANT_EXAMPLE),'gas.install':(SUPPLY,SUPPLY_EXAMPLE),'kinetics.configure':(KINETICS,KINETICS_EXAMPLE),'sample.install':(SAMPLE,SAMPLE_EXAMPLE),'method.configure':(METHOD,METHOD_EXAMPLE)})
for k,v in slots.items():
v['meaning_zh']=SLOT_ZH[k]+';来源='+v['origin']+',不代表实物标定。'
if v['unit']=='Pa':v['reference_conditions']='腔体绝对压;气源/CDA输入参数为表压,不混淆'
if v['unit']=='m^3/s':v['reference_conditions']='273.15K、101325Pa标准体积为宿主假设;厂家标准状态未说明'
mech['parameters']={k.lower():v for k,v in mech['parameters'].items()}
return dict(asset_type_id=ASSET_TYPE_ID,catalog_id=CATALOG_ID,capabilities=caps,state_slots=slots,mechanisms={'ald':mech})
|