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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 | """CHEM-099 GPC/SEC: finite mass transport and observed-signal molecular weight analysis.
Trusted Python host only. Sessions filter identity/truth; process/file isolation is external.
"""
from pathlib import Path
import copy,math,json,importlib.util
PROTOCOL_VERSION='1.0.0';SLUG='agilent_1290infinity';CATALOG_ID='CHEM-099';ASSET_TYPE_ID='instrument.'+SLUG
ROOT=Path(__file__).resolve().parents[2];TEMPLATE_REL='assets/expansion_batch04/t3_analytical/'+SLUG+'/sec_library.json'
class ActionRejected(ValueError):pass
def number(unit='1',lo=None,hi=None):
d={'type':'number','x-unit':unit}
if lo is not None:d['minimum']=lo
if hi is not None:d['maximum']=hi
return d
def obj(p):return dict(type='object',properties=p,required=list(p),additionalProperties=False)
def arr(v,n=None):
d=dict(type='array',items=v)
if n is not None:d.update(minItems=n,maxItems=n)
return d
def nullable(s):return {'anyOf':[s,{'type':'null'}]}
def enum(v):return {'type':'string','enum':v}
TEXT={'type':'string'};BOOL={'type':'boolean'};ISO=enum(['2H','13C','15N','18O','34S']);PHASE=enum(['idle','running','succeeded','cancelled','failed'])
def validate(s,v):
if 'anyOf' in s:
for q in s['anyOf']:
try:validate(q,v);return
except ActionRejected:pass
raise ActionRejected('INVALID_ARGUMENT')
t=s.get('type')
if t in ('number','integer'):
if isinstance(v,bool) or not isinstance(v,(int,float)) or not math.isfinite(v) or (t=='integer' and type(v) is not int) or 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=='null' and v is not None:raise ActionRejected('INVALID_ARGUMENT')
elif t=='object':
if not isinstance(v,dict) or not set(s.get('required',[]))<=v.keys() or set(v)-set(s['properties']):raise ActionRejected('INVALID_ARGUMENT')
for k,x in v.items():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')
import numpy as np
COLUMN=obj({'polymer_family':enum(['ps','pmma','peg_peo']),'solvent':TEXT,'log10_intercept_kg_mol':number(),'log10_slope_per_m3':number('1/m^3',-1e9,-1.),'void_m3':number('m^3',1e-9,.001),'total_m3':number('m^3',1e-9,.01),'band_sigma_m3':number('m^3',1e-10,.001),'resistance_pa_s_m3':number('Pa*s/m^3',1,1e17),'max_pressure_pa':number('Pa',1,1.3e8)})
COLUMN_EXAMPLE=dict(polymer_family='ps',solvent='THF',log10_intercept_kg_mol=6.,log10_slope_per_m3=-4e6,void_m3=2e-7,total_m3=1.8e-6,band_sigma_m3=2e-9,resistance_pa_s_m3=1e14,max_pressure_pa=2e7)
PLANT=obj({'ambient_k':number('K',277.15,313.15),'reservoir_m3':number('m^3',1e-9,.1),'waste_capacity_m3':number('m^3',1e-9,.1),'thermal_tau_s':number('s',.01,1e5),'columns':arr(COLUMN,8),'accept_synthetic_separation':BOOL})
PLANT_EXAMPLE=dict(ambient_k=298.15,reservoir_m3=.002,waste_capacity_m3=.002,thermal_tau_s=2.,columns=[dict(COLUMN_EXAMPLE) for _ in range(8)],accept_synthetic_separation=True)
METHOD=obj({'flow_m3_s':number('m^3/s',1e-9/60,5e-6/60),'column_index':dict(number('1',0,7),type='integer'),'zone_targets_k':arr(number('K',277.15,383.15),2),'injection_m3':number('m^3',1e-10,1e-7),'run_s':number('s',.1,7200),'solvent':TEXT,'dn_dc_m3_kg':number('m^3/kg',1e-8,.01)})
METHOD_EXAMPLE=dict(flow_m3_s=1e-6/60,column_index=0,zone_targets_k=[313.15,313.15],injection_m3=1e-8,run_s=120.,solvent='THF',dn_dc_m3_kg=.000185)
SOLUTE=obj({'substance_id':TEXT,'concentration_kg_m3':number('kg/m^3',0,100)})
SAMPLE=obj({'sample_id':TEXT,'volume_m3':number('m^3',1e-10,.01),'solvent':TEXT,'solutes':dict(arr(SOLUTE),minItems=1,maxItems=73)})
SAMPLE_EXAMPLE=dict(sample_id='PS_mix',volume_m3=1e-6,solvent='THF',solutes=[dict(substance_id='pl2013_1001',concentration_kg_m3=.1),dict(substance_id='pl2013_5001',concentration_kg_m3=.1)])
POINT=obj({'time_s':number('s',0),'window_s':number('s',0),'volume_m3':number('m^3',0),'window_m3':number('m^3',0),'delta_n':number('1',-.0006,.0006),'saturated':BOOL})
RESULT=obj({'phase':PHASE,'complete':BOOL,'points':arr(POINT),'elapsed_s':number('s',0),'template_source':TEXT,'evidence':TEXT,'warnings':arr(TEXT)})
CAL_POINT=obj({'elution_volume_m3':number('m^3',1e-12,.01),'mp_kg_mol':number('kg/mol',1e-6,1e7)})
CAL=obj({'points':dict(arr(CAL_POINT),minItems=2,maxItems=100),'basis':enum(['ps','pmma','peg_peo']),'accept_nominal_or_external_standard':BOOL})
CAL_EXAMPLE=dict(points=[dict(elution_volume_m3=5e-7,mp_kg_mol=1e4),dict(elution_volume_m3=15e-7,mp_kg_mol=1.)],basis='ps',accept_nominal_or_external_standard=True)
ANALYSIS=obj({'mn_kg_mol':nullable(number('kg/mol',0)),'mw_kg_mol':nullable(number('kg/mol',0)),'dispersity':nullable(number('1',1)),'mass_kg':nullable(number('kg',0)),'quality':TEXT,'basis':TEXT,'evidence':TEXT})
LEDGER=obj({'reservoir_m3':number('m^3',0),'waste_m3':number('m^3',0),'sample_remaining_m3':number('m^3',0),'volume_residual_m3':number('m^3'),'mass_residual_kg':number('kg'),'injected_kg':number('kg',0),'column_kg':number('kg',0),'eluted_kg':number('kg',0),'sample_id':TEXT})
CAPS={};UNSUPPORTED={'hardware.connect','absolute_molar_mass.measure'}
def cap(k,i,o,c,z,kind='device_command',vis='agent',ex=None,effects=None):CAPS[k]=(i,o,c,z,kind,vis,ex or {},effects or [])
cap('plant.configure',PLANT,obj({'configured':BOOL}),['housing','pump_drive'],'宿主有限流体、双温区时间常数及8个柱位的显式分离/阻力模型','configuration','evaluator',PLANT_EXAMPLE,['plant.configured'])
cap('method.configure',METHOD,obj({'configured':BOOL}),['pump_drive','column_bay','rid_cell'],'泵降额限压、柱压力/兼容性、双温区与100微升进样配置','configuration','agent',METHOD_EXAMPLE,['method.configured','pump.target_m3_s','zone1.target_k','zone2.target_k','column.selected'])
cap('sample.load',SAMPLE,obj({'loaded':BOOL}),['sample_tray'],'打开抽屉后连接有限聚合物溶液,物质记录由模板提供','configuration','evaluator',SAMPLE_EXAMPLE,['sample.loaded'])
cap('sample.unload',obj({}),obj({'returned_m3':number('m^3',0)}),['sample_tray'],'归还未注入样液;保留柱内已注入质量','device_command','evaluator',effects=['sample.loaded'])
for k,part,z in [('power.set','power_inlet','设供电,断电取消采集并停泵目标'),('pump.set','pump_drive','只设泵运行目标;仅step推进流量')]:cap(k,obj({'enabled':BOOL}),obj({'enabled':BOOL}),[part],z,ex={'enabled':True},effects=['power.enabled' if k=='power.set' else 'pump.enabled'])
MOTION=[('sampler_door','door.angle_rad','angle_rad','rad',1.8),('sample_drawer','drawer.position_m','position_m','m',.22),('column_cover','column_cover.angle_rad','angle_rad','rad',1.75)]
for part,sid,arg,unit,limit in MOTION:cap(sid.rsplit('.',1)[0]+'.set',obj({arg:number(unit,0,limit)}),obj({arg:number(unit,0,limit)}),[part],'宿主过程权威机构位置;运行/泵开启时拒绝检修动作',ex={arg:0.},effects=[sid])
cap('acquisition.start',obj({}),obj({'phase':PHASE,'operation_id':TEXT}),['injection_valve','column_bay','rid_cell'],'有限样液注入、异步获取RID洗脱图,支持取消',effects=['acquisition.phase','acquisition.elapsed_s'])
cap('acquisition.stop',obj({}),obj({'phase':PHASE}),['pump_drive','rid_cell'],'停止泵目标,保留已注入和已洗脱物质',effects=['acquisition.phase','pump.enabled'])
cap('process.measure',obj({}),RESULT,['rid_cell'],'返回已经采集的RID窗口,无推进时钟','query')
cap('calibration.fit',CAL,obj({'intercept_log10_kg_mol':number(),'slope_per_m3':number('1/m^3'),'r_squared':number('1',0,1)}),['column_bay'],'从调用者提供的标准峰体积与Mp拟合logM校准,不访问未知样品真值','analysis','agent',CAL_EXAMPLE,['calibration.ready'])
cap('molecular_weight.analyze',obj({}),ANALYSIS,['rid_cell'],'对实测窗口质量权重按已拟合校准计算Mn/Mw/分散系数;失败质量标签和null','analysis')
cap('template.read',obj({'substance_id':TEXT}),obj({'substance_id':TEXT,'mp_kg_mol':number('kg/mol'),'dispersity':number('1',1),'template_source':TEXT,'evidence':TEXT}),['rid_cell'],'查公开厂家名义标准模板,与样品身份隔离','query',ex={'substance_id':'pl2013_1001'})
cap('ledger.read',obj({}),LEDGER,['sample_tray','waste_port','column_bay'],'私有有限体积、进柱/柱内/流出质量守恒账本','query','evaluator')
for k in UNSUPPORTED:cap(k,obj({}),obj({}),['housing'],'本配置未实现真实硬件或无校准绝对分子量探测')
CAPS['power.set'][7].extend(['pump.enabled','acquisition.phase'])
CAPS['method.configure'][7].append('calibration.ready')
for _k in ['sample.load','sample.unload']:CAPS[_k][7].append('sample.identity')
CAPS['plant.configure'][7].extend(['zone1.temperature_k','zone2.temperature_k','zone1.indicated_k','zone2.indicated_k'])
CAPS['acquisition.start'][7].extend(['detector.delta_n','detector.saturated'])
SLOTS={};SLOT_ZH={}
def slot(k,s,u,z,o='derived',v='agent',c='rid_cell',w=None):SLOTS[k]=(s,u,o,v,[c],w);SLOT_ZH[k]=z
slot('plant.configured',BOOL,'1','8柱位的宿主流体边界已配置','setpoint',c='housing')
slot('power.enabled',BOOL,'1','整套模块的逻辑供电目标','setpoint',c='power_inlet',w=('power.set','enabled'))
slot('pump.enabled',BOOL,'1','泵运行目标','setpoint',c='pump_drive',w=('pump.set','enabled'))
slot('pump.target_m3_s',nullable(number('m^3/s',0)),'m^3/s','实际液体流量目标','setpoint',c='pump_drive')
slot('pump.flow_m3_s',number('m^3/s',0),'m^3/s','最近step实际液体平均流量')
slot('pump.pressure_pa',number('Pa',0),'Pa','柱阻力乘实际流量,泵出口表压真值','process_truth','evaluator','pump_drive')
slot('pump.indicated_pa',number('Pa',0),'Pa','理想化泵表压观测,环境为零')
slot('method.configured',BOOL,'1','有效方法已配置','setpoint')
slot('column.selected',nullable(dict(number('1',0,7),type='integer')),'1','选用8个10cm柱位之一;不是8支30cm柱','setpoint',c='column_bay')
for i in [1,2]:
slot(f'zone{i}.target_k',nullable(number('K',277.15,383.15)),'K','柱箱独立温区目标','setpoint',c='column_bay')
slot(f'zone{i}.temperature_k',nullable(number('K')),'K','单节点温区温度真值','process_truth','evaluator','column_bay')
slot(f'zone{i}.indicated_k',nullable(number('K')),'K','无噪声理想温区温度观测')
for part,sid,arg,unit,limit in MOTION:slot(sid,number(unit,0,limit),unit,'机构位置,零闭合;正方向见manifest','scene',c=part,w=(sid.rsplit('.',1)[0]+'.set',arg))
slot('sample.loaded',BOOL,'1','外部有限样液连接',c='sample_tray');slot('sample.identity',TEXT,'1','样品身份真值','process_truth','evaluator','sample_tray')
slot('acquisition.phase',PHASE,'1','异步采集阶段');slot('acquisition.elapsed_s',number('s',0),'s','采集实际时间');slot('detector.delta_n',nullable(number('1',-.0006,.0006)),'1','RI差值,±600e-6饱和剪裁;显式假设dn/dc响应');slot('detector.saturated',BOOL,'1','本采集出现过RID量程饱和');slot('calibration.ready',BOOL,'1','当前方法签名对应的校准可用')
class Agilent1290infinityRuntime:
def __init__(self,instance_id='sec_01'):
self.instance_id=instance_id;self.time_s=0.;self.revision=0;self.powered=False;self.pump=False;self.motion={s:0. for _,s,_,_,_ in MOTION};self.plant=None;self.method=None;self.sample=None;self.temperature=[None,None];self.reservoir=0.;self.waste=0.;self.sample_loaded=0.;self.sample_returned=0.;self.flow=0.;self.pressure=0.;self.bands=[];self.phase='idle';self.elapsed=0.;self.volume=0.;self.points=[];self.signal=None;self.saturated=False;self.calibration=None;self.operation_id=None;self.serial=0;self.records={};self.templates=json.loads((ROOT/TEMPLATE_REL).read_text())['records'];self._principals={};self._requests={};self._owners={}
def register_principal(self,principal_id,visibility='agent'):
if visibility not in ['agent','evaluator','debug'] or principal_id in self._principals:raise ActionRejected('REQUEST_CONFLICT')
self._principals[principal_id]=visibility
def session(self,principal_id):
if principal_id not in self._principals:raise ActionRejected('ACCESS_DENIED')
return Agilent1290infinitySession(self,principal_id)
def describe(self):return export_agilent_1290infinity_contract_metadata()
def read(self,visibility='agent'):
m=self.method or {};d={'plant.configured':self.plant is not None,'power.enabled':self.powered,'pump.enabled':self.pump,'pump.target_m3_s':m.get('flow_m3_s'),'pump.flow_m3_s':self.flow,'pump.pressure_pa':self.pressure,'pump.indicated_pa':self.pressure,'method.configured':self.method is not None,'column.selected':m.get('column_index'),'sample.loaded':self.sample is not None,'sample.identity':self.sample['sample_id'] if self.sample else '','acquisition.phase':self.phase,'acquisition.elapsed_s':self.elapsed,'detector.delta_n':self.signal,'detector.saturated':self.saturated,'calibration.ready':self.calibration is not None,**self.motion}
for i in range(2):d.update({f'zone{i+1}.target_k':m.get('zone_targets_k',[None,None])[i],f'zone{i+1}.temperature_k':self.temperature[i],f'zone{i+1}.indicated_k':self.temperature[i]})
return copy.deepcopy({k:v for k,v in d.items() if visibility!='agent' or SLOTS[k][3]=='agent'})
def _ledger(self):
injected=sum(x['mass'] for x in self.bands);eluted=sum(x['eluted'] for x in self.bands);remain=sum(x['mass']-x['eluted'] for x in self.bands);sample=self.sample['remaining'] if self.sample else 0.;initial=self.plant['reservoir_m3'] if self.plant else 0.
return dict(reservoir_m3=self.reservoir,waste_m3=self.waste,sample_remaining_m3=sample,volume_residual_m3=initial+self.sample_loaded-self.reservoir-self.waste-self.sample_returned-sample,mass_residual_kg=injected-eluted-remain,injected_kg=injected,column_kg=remain,eluted_kg=eluted,sample_id=self.sample['sample_id'] if self.sample else '')
def _result(self):return dict(phase=self.phase,complete=self.phase=='succeeded',points=copy.deepcopy(self.points),elapsed_s=self.elapsed,template_source='Agilent 5990-7996E standard-material nominal Mp/dispersity; sample identities withheld',evidence='documented nominal standards + synthetic mass distribution, retention, broadening and dn/dc',warnings=['No batch COA or experimental column calibration','Single concentration detector gives conventional relative molecular mass; not absolute mass','Cancelled/failed runs retain injected and eluted mass; read never advances time'])
def invoke(self,k,**a):
if k not in CAPS:raise ActionRejected('UNKNOWN_CAPABILITY')
if k in UNSUPPORTED:raise ActionRejected('UNSUPPORTED')
validate(CAPS[k][0],a);before=copy.deepcopy(self.__dict__)
try:
result=self._invoke(k,a);validate(CAPS[k][1],result)
if CAPS[k][4] not in ['query','analysis'] or k=='calibration.fit':self.revision+=1
return result
except Exception:self.__dict__.clear();self.__dict__.update(before);raise
def _invoke(self,k,a):
if k=='process.measure':return self._result()
if k=='ledger.read':return self._ledger()
if k=='template.read':
if a['substance_id'] not in self.templates:raise ActionRejected('UNKNOWN_REFERENCE')
t=self.templates[a['substance_id']];return dict(substance_id=a['substance_id'],mp_kg_mol=t['mp_kg_mol'],dispersity=t['dispersity'],template_source=t['source']['url']+' # '+t['source']['locator'],evidence=t['evidence'])
if k=='molecular_weight.analyze':return self._analyze()
if k=='calibration.fit':
if self.phase=='running' or not self.method or not a['accept_nominal_or_external_standard']:raise ActionRejected('PRECONDITION_FAILED')
x=np.asarray([p['elution_volume_m3'] for p in a['points']]);y=np.log10([p['mp_kg_mol'] for p in a['points']]);order=np.argsort(x)
if len(set(x))!=len(x) or any(np.diff(y[order])>=0):raise ActionRejected('INVALID_CALIBRATION')
b=float(np.sum((x-x.mean())*(y-y.mean()))/np.sum((x-x.mean())**2));intercept=float(y.mean()-b*x.mean());err=float(np.sum((y-(intercept+b*x))**2));r2=max(0.,1-err/float(np.sum((y-y.mean())**2)))
if b>=0 or r2<.95:raise ActionRejected('INVALID_CALIBRATION')
self.calibration=dict(a=intercept,b=b,lo=float(min(x)),hi=float(max(x)),basis=a['basis']);return dict(intercept_log10_kg_mol=intercept,slope_per_m3=b,r_squared=r2)
if k=='plant.configure':
if self.plant or self.powered or not a['accept_synthetic_separation']:raise ActionRejected('INITIALIZATION_ONLY')
if any(c['total_m3']<=c['void_m3'] for c in a['columns']):raise ActionRejected('COLUMN_RANGE')
self.plant=copy.deepcopy(a);self.reservoir=a['reservoir_m3'];self.temperature=[a['ambient_k']]*2;return {'configured':True}
if k=='acquisition.stop':
if self.phase!='running':raise ActionRejected('NOT_RUNNING')
self.phase='cancelled';self.pump=False;self.records[self.operation_id]=self._result();return {'phase':self.phase}
if k=='power.set':
self.powered=a['enabled']
if not self.powered:
self.pump=False
if self.phase=='running':self.phase='cancelled';self.records[self.operation_id]=self._result()
return a
if self.phase=='running':raise ActionRejected('BUSY')
if k=='method.configure':
if not self.plant or self.pump:raise ActionRejected('PRECONDITION_FAILED')
c=self.plant['columns'][a['column_index']];q=a['flow_m3_s'];ml=q*6e7;limit=(1300 if ml<=2 else 1300-(ml-2)*500/3)*1e5
if q*c['resistance_pa_s_m3']>min(limit,c['max_pressure_pa']):raise ActionRejected('PRESSURE_LIMIT')
if min(a['zone_targets_k'])<self.plant['ambient_k']-20 or a['solvent']!=c['solvent']:raise ActionRejected('COLUMN_RANGE')
self.method=copy.deepcopy(a);self.calibration=None;return {'configured':True}
if k=='pump.set':
if a['enabled'] and (not self.powered or not self.method or any(self.motion.values())):raise ActionRejected('NOT_READY')
self.pump=a['enabled'];return a
for part,sid,arg,u,l in MOTION:
if k==sid.rsplit('.',1)[0]+'.set':
if self.pump:raise ActionRejected('BUSY')
self.motion[sid]=a[arg];return a
if k=='sample.load':
if self.sample or not self.method or self.motion['drawer.position_m']<.15:raise ActionRejected('PREPARATION_REQUIRED')
col=self.plant['columns'][self.method['column_index']]
if a['solvent']!=col['solvent'] or len({v['substance_id'] for v in a['solutes']})!=len(a['solutes']):raise ActionRejected('SAMPLE_COMPATIBILITY')
for s in a['solutes']:
if s['substance_id'] not in self.templates:raise ActionRejected('UNKNOWN_REFERENCE')
if self.templates[s['substance_id']]['polymer_family']!=col['polymer_family']:raise ActionRejected('SAMPLE_COMPATIBILITY')
self.sample=copy.deepcopy(a);self.sample['remaining']=a['volume_m3'];self.sample_loaded+=a['volume_m3'];return {'loaded':True}
if k=='sample.unload':
if not self.sample or self.motion['drawer.position_m']<.15:raise ActionRejected('PREPARATION_REQUIRED')
v=self.sample['remaining'];self.sample_returned+=v;self.sample=None;return {'returned_m3':v}
if k=='acquisition.start':
if not self.sample or not self.pump or not self.method or any(self.motion.values()) or max(abs(t-x) for t,x in zip(self.temperature,self.method['zone_targets_k']))>.5:raise ActionRejected('NOT_READY')
vol=self.method['injection_m3']
if self.sample['remaining']<vol or self._ledger()['column_kg']>1e-12:raise ActionRejected('SAMPLE_OR_CARRYOVER')
if self.waste+vol>self.plant['waste_capacity_m3'] or self.reservoir<=0:raise ActionRejected('WASTE_OR_ELUENT')
c=self.plant['columns'][self.method['column_index']];nodes,weights=np.polynomial.hermite.hermgauss(41);weights/=math.sqrt(math.pi)
for s in self.sample['solutes']:
t=self.templates[s['substance_id']];logs=math.log(t['mp_kg_mol'])+math.sqrt(2*math.log(t['dispersity']))*nodes
for logm,w in zip(logs,weights):
center=max(c['void_m3'],min(c['total_m3'],(float(logm)/math.log(10)-c['log10_intercept_kg_mol'])/c['log10_slope_per_m3']));self.bands.append(dict(mass=float(w)*s['concentration_kg_m3']*vol,eluted=0.,volume=0.,mean=center,sigma=c['band_sigma_m3']))
self.sample['remaining']-=vol;self.waste+=vol;self.serial+=1;self.operation_id=f'{self.instance_id}:op:{self.serial}';self.phase='running';self.elapsed=0.;self.volume=0.;self.points=[];self.signal=None;self.saturated=False;return dict(phase='running',operation_id=self.operation_id)
raise ActionRejected('UNKNOWN_CAPABILITY')
def _analyze(self):
result=dict(mn_kg_mol=None,mw_kg_mol=None,dispersity=None,mass_kg=None,quality='incomplete',basis=self.calibration['basis'] if self.calibration else 'uncalibrated',evidence='observed RID windows, caller dn/dc and conventional logM calibration; relative molecular masses')
if self.phase!='succeeded':return result
if not self.calibration:result['quality']='uncalibrated';return result
if self.saturated:result['quality']='saturated';return result
c=self.calibration;items=[];total_area=sum(max(0,p['delta_n'])*p['window_m3'] for p in self.points)
if total_area<=0:result['quality']='no_signal';return result
outside=0.
for p in self.points:
mass=max(0,p['delta_n'])*p['window_m3']/self.method['dn_dc_m3_kg'];v=p['volume_m3']-p['window_m3']/2
if not c['lo']<=v<=c['hi']:outside+=mass;continue
logm=c['a']+c['b']*v
if not -10<logm<12:result['quality']='invalid_calibration';return result
items.append((mass,10**logm))
mass=sum(m for m,M in items)
if outside/(total_area/self.method['dn_dc_m3_kg'])>.001 or mass<=0:result['quality']='outside_calibration';return result
mn=mass/sum(m/M for m,M in items);mw=sum(m*M for m,M in items)/mass;result.update(mn_kg_mol=mn,mw_kg_mol=mw,dispersity=max(1.,mw/mn),mass_kg=mass,quality='estimated_relative');return result
def step(self,dt_s):
validate(number('s',0,1e5),dt_s)
if dt_s==0:return self.read()
dt=float(dt_s);self.time_s+=dt;self.revision+=1
if self.plant:
target=self.method['zone_targets_k'] if self.method and self.powered else [self.plant['ambient_k']]*2
self.temperature=[x+(t-x)*math.exp(-dt/self.plant['thermal_tau_s']) for t,x in zip(self.temperature,target)]
self.flow=0.;self.pressure=0.
if self.powered and self.pump and self.method:
duration=min(dt,self.method['run_s']-self.elapsed) if self.phase=='running' else dt;q=self.method['flow_m3_s'];v=max(0.,min(q*duration,self.reservoir,self.plant['waste_capacity_m3']-self.waste));self.flow=v/dt;self.pressure=self.flow*self.plant['columns'][self.method['column_index']]['resistance_pa_s_m3'];self.reservoir-=v;self.waste+=v;dm=0.
for b in self.bands:
b['volume']+=v;cdf=lambda x:.5*(1+math.erf((x-b['mean'])/(b['sigma']*math.sqrt(2))));f0=cdf(0.);f=max(0.,min(1.,(cdf(b['volume'])-f0)/(1-f0)));new=b['mass']*f;dm+=max(0.,new-b['eluted']);b['eluted']=new
if self.phase=='running' and v>0:
self.elapsed+=v/q;self.volume+=v;signal=self.method['dn_dc_m3_kg']*dm/v;sat=abs(signal)>.0006;self.saturated|=sat;self.signal=max(-.0006,min(.0006,signal));self.points.append(dict(time_s=self.elapsed,window_s=v/q,volume_m3=self.volume,window_m3=v,delta_n=self.signal,saturated=sat))
if self.phase=='running' and self.elapsed>=self.method['run_s']-1e-8:self.phase='succeeded';self.pump=False;self.records[self.operation_id]=self._result()
elif v<q*duration-1e-15:
self.pump=False
if self.phase=='running':self.phase='failed';self.records[self.operation_id]=self._result()
return self.read()
class Agilent1290infinitySession:
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_agilent_1290infinity_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='unavailable' if v[k] is None else 'estimated' if SLOTS[k][2]=='derived' else 'valid',sample_time_s=h.time_s,sample_window_s=[h.points[-1]['time_s']-h.points[-1]['window_s'],h.points[-1]['time_s']] if k=='detector.delta_n' and h.points else 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='unsupported' if str(exc)=='UNSUPPORTED' else '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 h._owners.get(operation_id)!=self._principal:raise ActionRejected('ACCESS_DENIED')
record=h.records.get(operation_id)
if operation_id==h.operation_id:record=h._result()
if record is None:raise ActionRejected('UNKNOWN_OPERATION')
return dict(operation_id=operation_id,status=record['phase'],result=copy.deepcopy(record))
def cancel(self,operation_id,request_id):
self.poll(operation_id)
if operation_id!=self._host.operation_id:raise ActionRejected('NOT_RUNNING')
return self.invoke(instance_id=self._host.instance_id,capability_id='acquisition.stop',arguments={},request_id=request_id)
def export_agilent_1290infinity_contract_metadata():
caps={};slots={}
for k,(s,u,o,v,c,w) in SLOTS.items():
ref='泵出口相对环境表压;环境为0Pa基准' if u=='Pa' else '液体实际体积流量,不是气体标准体积' if u=='m^3/s' else None
slots[k]=dict(meaning_zh=SLOT_ZH[k],component_ids=c,value_schema=copy.deepcopy(s),unit=u,reference_conditions=ref,origin=o,visibility=v,access='read_write' if w else 'read_only',read_binding=dict(backend='host',artifact_id='runtime',accessor=f'Agilent1290infinitySession.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'])
for k,(inp,out,c,z,kind,vis,ex,effects) in CAPS.items():
unsupported=k in UNSUPPORTED;asyn=k=='acquisition.start'
caps[k]=dict(function_zh=z,kind=kind,visibility=vis,component_ids=c,availability='unsupported' if unsupported else 'implemented',input_schema=copy.deepcopy(inp),output_schema=copy.deepcopy(out),implementation=dict(process='absent' if unsupported else 'implemented',scene='absent',robot='absent',hardware='absent',host='absent' if unsupported else 'implemented'),binding=None if unsupported else dict(backend='host',artifact_id='runtime',entrypoint='asset_runtime.agilent_1290infinity.Agilent1290infinitySession.invoke',invocation=f'session.invoke(instance_id="sec_01",capability_id={k!r},arguments={ex!r},request_id="unique")'),preconditions=[] if kind in ['query','analysis'] or unsupported else [dict(description_zh='类型/身份、方法限值、闭门、温度准备、有限体积及忙碌检查;不冒充原厂安全互锁',state_ids=['power.enabled','pump.enabled','method.configured','door.angle_rad','drawer.position_m','acquisition.phase'],enforced_by='runtime',check='atomic Runtime.invoke plus trusted-principal Session')],state_effects=[dict(state_id=x,timing='immediate',description_zh='受检事务目标/逻辑状态变化') for x in effects],observes=[],model_effects=dict(mode='none',description_zh='等待独立实际场景求值;数值过程不自动证明模型联动',binding_ids=[]),execution=dict(mode='asynchronous' if asyn else 'synchronous',time_domain='simulation',completion_criterion='采集实际时间达到run_s;残留柱物质仍记账' if asyn else '受检事务返回;read/describe/poll不推进时钟',completion_state_ids=['acquisition.phase'] if asyn else [],timeout_s=None,cancellation='supported' if asyn else 'unsupported',retry='same_request_id',resources=['host_clock','sample_fluid','eluent_reservoir','waste_container','request_cache'],partial_failure_zh='已进样/已流出物质保留;取消停止泵目标,不逆向回滚;去重仅当前宿主进程'),errors=[dict(code=x,meaning_zh=x,side_effects='none') for x in ['INVALID_ARGUMENT','UNKNOWN_INSTANCE','UNKNOWN_CAPABILITY','UNSUPPORTED','ACCESS_DENIED','REQUEST_CONFLICT','PRECONDITION_FAILED','INITIALIZATION_ONLY','BUSY','COLUMN_RANGE','SAMPLE_COMPATIBILITY','PRESSURE_LIMIT','INVALID_CALIBRATION','SAMPLE_METHOD_REQUIRED','PREPARATION_REQUIRED','DUPLICATE_SOLUTE','UNKNOWN_REFERENCE','COLUMN_POLARITY','NO_SAMPLE','NOT_READY','SAMPLE_OR_CARRYOVER','WASTE_FULL','NOT_RUNNING','INVALID_WINDOW']],example_arguments=copy.deepcopy(ex),verification=[],limitations=['教学过程;柱保留映射、dn/dc、分布、噪声与实机未校准'],source_ids=['manufacturer_selection','simulation_assumption'])
if asyn:caps[k]['state_effects'] += [dict(state_id=x,timing='on_step',description_zh='唯一由宿主step推进') for x in ['acquisition.elapsed_s','detector.delta_n','pump.flow_m3_s','pump.pressure_pa','acquisition.phase']]
mech=dict(component_ids=['sample_tray','injection_valve','pump_drive','column_bay','rid_cell','waste_port'],state_ids=list(slots),meaning_zh='传统相对分子量GPC/SEC:有限液体、离散聚合物质量分布与显式校准',implementation='lumped',equations=['logM mass distribution: mu=ln(nominal Mp), sigma^2=ln(nominal Mw/Mn); 41-point Gauss-Hermite weights; ASSUMED distribution, not measured','V_elute=clip((log10(M_kg_mol)-a)/b, void_volume,total_volume), b<0; host separation coefficients synthetic','narrow band cumulative mass from positive-volume truncated Gaussian; dm_eluted=mass*(CDF_new-CDF_old)','RI_delta=(dn/dc)*sum(dm)/dV, limited to +/-600e-6; dn/dc supplied explicitly, not manufacturer measurement','Mn=sum(dm)/sum(dm/M); Mw=sum(dm*M)/sum(dm); D=Mw/Mn; mass from observed RI windows and user calibration, never hidden truth','Tnew=Tset+(Told-Tset)*exp(-dt/tau); two independent temperature zones; tau explicit assumption','Q limit5mL/min; pressure limit1300bar at<=2mL/min, linearly decreasing to800bar at5mL/min; lower column limit also enforced','Finite eluent volume and waste capacity; injection draws actual sample volume, displaces equal solvent volume to waste; polymer mass retained until eluted'],parameters={},source_ids=['manufacturer_selection','manufacturer_standards','simulation_assumption'],limitations=['73不同标准材料等级,3个聚合物族;不是50种不同聚合物结构或73条实验色谱。','模板是厂家名义Mp/分散系数,不是指定批次COA;分布采用logM高斯假设。','dn/dc、保留映射、峰扩散及阻力/时间常数均宿主显式假设;不实现所有溶剂、柱化学、非排阻吸附或非线性高浓度响应。','RI仅输出一个总浓度信号;无MALS/粘度检测器,绝对分子量能力unsupported。','运行时泵压限值不是整条流路每部件的真实耐压;柱额定压由宿主另给。','100微升进样配置;不包含1500微升多次抽吸、双针、多洗及6144样位全自动。','8个10cm柱位;绘制短柱,不将四支30cm柱的容量混淆。','有限模型守恒不是真实密封/高压脉冲/自动装卸;机器人与硬件未验证。','会话真值过滤不是文件/进程隔离。'])
spec=importlib.util.spec_from_file_location('_sec_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,{'size_exclusion':mech},inputs={'plant.configure':(PLANT,PLANT_EXAMPLE),'method.configure':(METHOD,METHOD_EXAMPLE),'sample.load':(SAMPLE,SAMPLE_EXAMPLE)})
for k,v in slots.items():v['meaning_zh']=SLOT_ZH[k]+';来源='+v['origin']+'。'
slots['detector.delta_n']['sampling']=dict(mode='interval_mean',time_domain='simulation',window_description='最近真实进柱体积窗口对应的时间区间;停止后保持最近采集窗口')
return dict(asset_type_id=ASSET_TYPE_ID,catalog_id=CATALOG_ID,capabilities=caps,state_slots=slots,mechanisms={'size_exclusion':mech})
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