"""CHEM-121 finite optical sessile-drop imaging; explicit assumptions, literature references.""" from pathlib import Path import copy,math,json,importlib.util PROTOCOL_VERSION='1.0.0';ASSET_VERSION='1.1.1';SLUG='biolin_thetaflex';CATALOG_ID='CHEM-121';ASSET_TYPE_ID='instrument.'+SLUG ROOT=Path(__file__).resolve().parents[2];ASSET=ROOT/'assets/expansion_batch03/t4_measure'/SLUG 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'};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,cv2,base64,io from PIL import Image from scipy.integrate import solve_ivp from scipy.optimize import brentq,nnls from functools import lru_cache DT=.01;G=9.80665;W=1984;H=1264;STAGE_Z_MAX_M=.049;INT=lambda lo=0,hi=1000000:dict(type='integer',minimum=lo,maximum=hi,**{'x-unit':'1'}) LIB=json.loads((ASSET/'contact_library.json').read_text()) def cap_radius(volume,theta):return (3*volume/(math.pi*(2-3*math.cos(theta)+math.cos(theta)**3)))**(1/3) def cap_theta(volume,base): h=brentq(lambda h:math.pi*h*(3*base*base+h*h)/6-volume,1e-12,.1,xtol=1e-15);return 2*math.atan2(h,base) @lru_cache(maxsize=4096) def profile(volume,theta,rho,gamma,spherical=False): if volume<=0 or not .025W-5 or xy[:,1].min()<4:raise ActionRejected('FIELD_OF_VIEW') mask=np.full((H,W),int(80+165*illumination),np.uint8);cv2.fillPoly(mask,[np.rint(xy).astype(np.int32)],25);mask[base+1:]=85 blur=.5+800*abs(focus-.006);mask=cv2.GaussianBlur(mask,(0,0),blur);out=io.BytesIO();Image.fromarray(mask).save(out,format='PNG');return base64.b64encode(out.getvalue()).decode(),base,pitch def image_fit(image_png_base64,baseline_px,pixel_pitch_m,fit='polynomial'): if len(image_png_base64)>8000000:raise ActionRejected('INVALID_IMAGE') try: raw=base64.b64decode(image_png_base64,validate=True);im=Image.open(io.BytesIO(raw)) if im.width>4096 or im.height>4096 or im.width*im.height>8000000:raise ActionRejected('INVALID_IMAGE') a=np.array(im.convert('L')) except Exception as e:raise ActionRejected('INVALID_IMAGE') from e hh,ww=a.shape if not 151:points.append((baseline_px-row,float(xx[0]),float(xx[-1]))) p=np.array(points) if len(p)<15 or p[0,0]>5:raise ActionRejected('BASELINE_OR_EDGE') h=p[:,0];left=p[:,1];right=p[:,2];height=h[-1];edge=np.c_[np.r_[left,right],np.r_[baseline_px-h,baseline_px-h]] if fit=='circle': x=edge[:,0]-ww/2;y=baseline_px-edge[:,1];mat=np.c_[2*x,2*y,np.ones(len(x))];coef=np.linalg.lstsq(mat,x*x+y*y,rcond=None)[0];cx,cy,d=coef;radius=math.sqrt(max(1e-30,d+cx*cx+cy*cy));cost=-cy/radius if not -1=3);v=h[take]/window if sum(take)<12:raise ActionRejected('EDGE_RESOLUTION') lcoef=np.polyfit(v,left[take],3);rcoef=np.polyfit(v,right[take],3);dl=lcoef[-2]/window;dr=rcoef[-2]/window;lt=math.atan2(1.,dl);rt=math.atan2(1.,-dr);residual=float(math.sqrt(np.mean(np.r_[(np.polyval(lcoef,v)-left[take])**2,(np.polyval(rcoef,v)-right[take])**2]))) else:raise ActionRejected('INVALID_ARGUMENT') # Axisymmetric volume uses the observed half-width profile. No reference-angle lookup. radius=(right-left+1)/2;measured_volume=float(math.pi*np.trapz(np.r_[radius[0]**2,radius**2,0.],np.r_[0,h,h[-1]+1])*pixel_pitch_m**3) return dict(left_rad=lt,right_rad=rt,mean_rad=(lt+rt)/2,volume_m3=measured_volume,residual_px=residual,edge_points=len(edge),fit=fit,threshold=int(threshold),image_width_px=ww,image_height_px=hh) def surface_energy(observations): if len(observations)<2:raise ActionRejected('INSUFFICIENT_PROBES') gd=np.array([p['liquid_dispersive_j_m2'] for p in observations]);gp=np.array([p['liquid_polar_j_m2'] for p in observations]);theta=np.array([p['angle_rad'] for p in observations]);mat=2*np.c_[np.sqrt(gd),np.sqrt(gp)];y=(gd+gp)*(1+np.cos(theta)) if np.linalg.matrix_rank(mat)<2 or np.linalg.cond(mat)>1e5:raise ActionRejected('DEGENERATE_PROBES') q,res=nnls(mat,y);pred=mat@q return dict(dispersive_j_m2=float(q[0]**2),polar_j_m2=float(q[1]**2),total_j_m2=float(sum(q*q)),residuals_n_m=(pred-y).tolist(),method='OWRK nonnegative least squares; angle observations and liquid component energies supplied independently') PLANT_EXAMPLE=dict(accept_engineering=True,density_kg_m3=998.20715,surface_tension_n_m=.0728,syringe_capacity_m3=5e-7,advancing_rad=math.radians(80),receding_rad=math.radians(25),accept_dynamic_proxy=True) PLANT=obj({'accept_engineering':BOOL,'density_kg_m3':number('kg/m^3',100,5000),'surface_tension_n_m':number('N/m',.001,2),'syringe_capacity_m3':number('m^3',1e-8,5e-6),'advancing_rad':nullable(number('rad',.03,3.11)),'receding_rad':nullable(number('rad',.03,3.11)),'accept_dynamic_proxy':BOOL}) METHOD_EXAMPLE=dict(mode='static',field_width_m=.0035,frame_rate_hz=5.,frames=5,flow_m3_s=1e-10,stage_speed_m_s=.004,fit='polynomial') METHOD=obj({'mode':enum(['static','dynamic']),'field_width_m':number('m',.00144,.0323),'frame_rate_hz':number('Hz',1,20),'frames':INT(1,100),'flow_m3_s':number('m^3/s',1e-12,1e-8),'stage_speed_m_s':number('m/s',.0001,.010),'fit':enum(['circle','polynomial'])}) SAMPLE_EXAMPLE=dict(reference_id='al_ctab_a_row7',accept_unknown_conditions=True) SAMPLE=dict(type='object',properties={'reference_id':TEXT,'accept_unknown_conditions':BOOL,'use_reference_liquid_properties':BOOL},required=['reference_id','accept_unknown_conditions'],additionalProperties=False) LIQUIDS=LIB.get('liquids',{}) def liquid_record(liquid_id): if liquid_id not in LIQUIDS:raise ActionRejected('INVALID_REFERENCE') L=LIQUIDS[liquid_id];d=L.get('density') or {};g=L.get('surface_tension') or {};w=L.get('owrk') or {} src=[x['source']['source_id']+': '+x['source']['locator'] for x in (d,g,w) if x] return dict(liquid_id=liquid_id,name=L['name'],liquid_class=L['liquid_class'],cas=L.get('cas'),inchikey=L.get('inchikey'),counted_as_distinct_pure_species=L['counted_as_distinct_pure_species'],density_kg_m3=d.get('value_kg_m3'),density_temperature_k=d.get('temperature_k'),surface_tension_n_m=g.get('value_n_m'),surface_tension_temperature_k=g.get('temperature_k'),dispersive_n_m=w.get('dispersive_n_m'),polar_n_m=w.get('polar_n_m'),sources=src) def reference_surface_energy(observations): rows=[] for o in observations: L=liquid_record(o['liquid_id']) if L['dispersive_n_m'] is None or L['polar_n_m'] is None:raise ActionRejected('LIQUID_COMPONENTS_UNAVAILABLE') rows.append(dict(angle_rad=o['angle_rad'],liquid_dispersive_j_m2=L['dispersive_n_m'],liquid_polar_j_m2=L['polar_n_m'])) r=surface_energy(rows);r['method']='OWRK nonnegative least squares; probe-liquid dispersive/polar components looked up from the cited contact_library.json liquids table ('+', '.join(o['liquid_id'] for o in observations)+'); angles supplied independently';return r FIT_RESULT=obj({'left_rad':number('rad',0,math.pi),'right_rad':number('rad',0,math.pi),'mean_rad':number('rad',0,math.pi),'volume_m3':number('m^3',0),'residual_px':number('1',0),'edge_points':INT(),'fit':TEXT,'threshold':INT(0,255),'image_width_px':INT(1,4096),'image_height_px':INT(1,4096)}) IMAGE_INPUT=obj({'image_png_base64':TEXT,'baseline_px':INT(16,4094),'pixel_pitch_m':number('m',1e-9,.01),'fit':enum(['circle','polynomial'])}) ROW=obj({'time_s':number('s'),'transferred_m3':number('m^3'),'observed_volume_m3':number('m^3'),'left_rad':number('rad'),'right_rad':number('rad'),'mean_rad':number('rad'),'branch':TEXT,'fit_residual_px':number('1')}) RESULT=obj({'phase':PHASE,'stage':TEXT,'operation_id':nullable(TEXT),'elapsed_s':number('s'),'rows':arr(ROW),'image_png_base64':nullable(TEXT),'template_source':nullable(TEXT),'evidence':nullable(TEXT),'error_code':nullable(TEXT)}) LEDGER=obj({k:number(u) for k,u in [('loaded_m3','m^3'),('syringe_m3','m^3'),('drop_m3','m^3'),('waste_m3','m^3'),('volume_error_m3','m^3'),('mass_error_kg','kg')]}) CAPS={};SLOTS={};SLOT_ZH={} 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 []) def slot(k,s,u,z,o='derived',v='agent',c='controller',w=None):SLOTS[k]=(s,u,o,v,[c],w);SLOT_ZH[k]=z cap('plant.configure',PLANT,obj({'configured':BOOL}),['camera','syringe'],'宿主显式接受有效物性、针筒容量、滞后端点和模型近似','configuration','evaluator',PLANT_EXAMPLE,['plant.configured']) for k,arg,schema,c,z,effect in [('power.set','enabled',BOOL,'power_switch','切换供电','power.enabled'),('service.set','distance_m',number('m',0,.09),'service_cover','断电拆开后盖','service.slide_m'),('focus.set','position_m',number('m',0,.02),'focus','手动调焦的过程位置代理','focus.position_m'),('illumination.set','fraction',number('1',.2,1),'led_diffuser','设置背景照明强度','illumination.fraction')]: cap(k,obj({arg:schema}),obj({arg:schema}),[c],z,ex={arg:False if arg=='enabled' else .6 if arg=='fraction' else 0.},effects=[effect]) cap('method.configure',METHOD,METHOD,['camera','dispenser'],'选择静态/动态、FOV、采样频率及拟合；20Hz是本模拟限制','configuration',ex=METHOD_EXAMPLE) cap('sample.load',SAMPLE,obj({'loaded':BOOL}),['sample_plate'],'宿主放入文献表面/液体配对；未知条件须确认','configuration','evaluator',SAMPLE_EXAMPLE,['sample.present']) cap('sample.remove',obj({}),obj({'removed':BOOL}),['sample_plate'],'宿主取出已清除液滴的样片','configuration','evaluator',effects=['sample.present']) STOCK=obj({'reference_id':TEXT,'volume_m3':number('m^3',1e-10,5e-6)}) cap('stock.load',STOCK,obj({'loaded':BOOL}),['syringe'],'宿主装入与样片参考匹配的有限探针液体','configuration','evaluator',dict(reference_id=SAMPLE_EXAMPLE['reference_id'],volume_m3=2e-7),['truth.syringe_m3','plunger.position_m']) cap('stock.unload',obj({}),obj({'unloaded':BOOL}),['syringe'],'宿主回收剩余针筒液体并入账','configuration','evaluator',effects=['truth.syringe_m3']) cap('drop.clean',obj({}),obj({'cleaned':BOOL}),['sample_plate'],'宿主吸走样片上的液滴入回收账本','configuration','evaluator',effects=['truth.drop_m3']) CAL=obj({'known_length_m':number('m',1e-5,.05),'observed_pixels':number('1',10,4096)}) cap('camera.calibrate',CAL,obj({'pixel_pitch_m':number('m')}),['camera','calibration_socket'],'独立外部长度/图像像素标定；不代替C216证书','configuration',ex=dict(known_length_m=.001,observed_pixels=.001/(.0035/W)),effects=['camera.calibrated']) for k,i,e,c,z in [('stage.move',obj({'x_m':number('m',0,.08),'y_m':number('m',0,.04),'z_m':number('m',0,STAGE_Z_MAX_M)}),dict(x_m=.04,y_m=.02,z_m=.025),'stage_z','按受限速度移动手动XYZ台，过程代理'),('dispenser.move',obj({'position_m':number('m',0,.035)}),dict(position_m=.016),'dispenser','异步上下移动自动滴放支架'),('liquid.transfer',obj({'volume_m3':number('m^3',-1e-8,1e-8)}),dict(volume_m3=2e-10),'syringe','有限针筒滴放或回吸，动态模式保留针下液滴，体积守恒'),('acquisition.start',obj({}),{},'camera','按方法频率捕获有限帧数并独立拟合轮廓')]:cap(k,i,obj({'operation_id':TEXT}),[c],z,ex=e,effects=['acquisition.phase']) cap('acquisition.stop',obj({}),obj({'phase':PHASE}),['controller'],'取消保留已移动位置、已转移液体与图像',effects=['acquisition.phase']) cap('acquisition.result',obj({}),RESULT,['camera'],'只读最后异步操作结果与像素图像','query') cap('image.capture',obj({}),obj({'image_png_base64':TEXT,'baseline_px':INT(0,H),'pixel_pitch_m':number('m'),'measurement':FIT_RESULT}),['camera'],'返回由物理轮廓形成的像素图像及图像拟合；模拟图像明确标注','analysis') cap('analysis.image',IMAGE_INPUT,FIT_RESULT,['camera'],'只根据外部图像、外部基线与像素尺度求左右接触角和体积','analysis',ex=dict(image_png_base64='',baseline_px=1000,pixel_pitch_m=.0035/W,fit='polynomial')) OBS=obj({'angle_rad':number('rad',0,math.pi),'liquid_dispersive_j_m2':number('J/m^2',0,2),'liquid_polar_j_m2':number('J/m^2',0,2)}) SFE=obj({'dispersive_j_m2':number('J/m^2',0),'polar_j_m2':number('J/m^2',0),'total_j_m2':number('J/m^2',0),'residuals_n_m':arr(number('N/m')),'method':TEXT}) cap('analysis.surface_energy',obj({'observations':arr(OBS)}),SFE,['controller'],'外部两种以上探针液观测的OWRK非负拟合','analysis',ex={'observations':[dict(angle_rad=1.,liquid_dispersive_j_m2=.0218,liquid_polar_j_m2=.051),dict(angle_rad=.6,liquid_dispersive_j_m2=.0508,liquid_polar_j_m2=0.)]}) cap('analysis.hysteresis',obj({'advancing_rad':arr(number('rad',0,math.pi)),'receding_rad':arr(number('rad',0,math.pi))}),obj({'advancing_rad':number('rad'),'receding_rad':number('rad'),'hysteresis_rad':number('rad')}),['controller'],'从外部进角/退角序列的极值得到滞后，不读取物性真值','analysis',ex=dict(advancing_rad=[1.2,1.3],receding_rad=[.6,.7])) cap('ledger.read',obj({}),LEDGER,['syringe','sample_plate'],'宿主体积/质量守恒审计','query','evaluator') LIQUID_OUT=obj({'liquid_id':TEXT,'name':TEXT,'liquid_class':TEXT,'cas':nullable(TEXT),'inchikey':nullable(TEXT),'counted_as_distinct_pure_species':BOOL,'density_kg_m3':nullable(number('kg/m^3')),'density_temperature_k':nullable(number('K')),'surface_tension_n_m':nullable(number('N/m')),'surface_tension_temperature_k':nullable(number('K')),'dispersive_n_m':nullable(number('N/m')),'polar_n_m':nullable(number('N/m')),'sources':arr(TEXT)}) cap('reference.liquid',obj({'liquid_id':TEXT}),LIQUID_OUT,['controller'],'查询文献液体身份(CAS/InChIKey)与真实密度、表面张力、OWRK分量及其来源；不返回任何接触角','query',ex={'liquid_id':'water'}) REF_FILTER=obj({'liquid_id':nullable(TEXT),'substrate':nullable(TEXT)}) cap('reference.list',REF_FILTER,obj({'reference_ids':arr(TEXT)}),['sample_plate'],'宿主按液体/基底筛选可装载的纯液体文献配对编号（不含角度值）','query','evaluator',dict(liquid_id='water',substrate=None)) REF_OBS=obj({'angle_rad':number('rad',0,math.pi),'liquid_id':TEXT}) cap('analysis.surface_energy_reference',obj({'observations':arr(REF_OBS)}),SFE,['controller'],'用库内有出处的探针液OWRK分量与外部观测角做非负拟合','analysis',ex={'observations':[dict(angle_rad=1.,liquid_id='water'),dict(angle_rad=.7,liquid_id='diiodomethane')]}) cap('sim.step',obj({'dt_s':number('s',0,3600)}),obj({'time_s':number('s')}),['controller'],'唯一宿主时钟推进','simulation','evaluator',dict(dt_s=.1)) UNSUPPORTED=['camera.high_speed_3009fps','calibration.oem_certificate','drop.pendant_tension','drop.captive_bubble','stage.tilt','topography.roughness','rheology.measure','hardware.connect','robot.manipulate','fault.empirical','noise.empirical'] for k in UNSUPPORTED:cap(k,obj({}),obj({}),['controller'],'缺少附件/原厂实现或数据：'+k) for axis,hi in [('x',.08),('y',.04),('z',STAGE_Z_MAX_M)]: slot('stage.'+axis+'_m',number('m',0,hi),'m','实际'+axis.upper()+'台位移','scene',c='stage_'+axis);slot('stage.target_'+axis+'_m',number('m',0,hi),'m','目标'+axis.upper()+'位置','setpoint',c='stage_'+axis) for k,hi,z,c,w in [('dispenser.z_m',.035,'自动滴放支架实际下移','dispenser',None),('dispenser.target_m',.035,'滴放目标下移','dispenser',('dispenser.move','position_m')),('plunger.position_m',.04,'针筒体积映射到假设40mm活塞行程','plunger',None),('focus.position_m',.02,'手动对焦位置','focus',('focus.set','position_m')),('service.slide_m',.09,'维护板后移','service_cover',('service.set','distance_m'))]:slot(k,number('m',0,hi),'m',z,'setpoint' if w else 'scene',c=c,w=w) slot('power.angle_rad',number('rad',0,.32),'rad','电源按钮位置代理','scene',c='power_switch') for k,z,c in [('plant.configured','显式工程输入已给定','controller'),('power.enabled','供电状态','power_switch'),('lamp.measurement','测量或动态传输指示灯','measurement_lamp'),('sample.present','样片在位','sample_plate'),('camera.calibrated','外部长度标定已输入','camera')]:slot(k,BOOL,'1',z,c=c) slot('illumination.fraction',number('1',.2,1),'1','背景照明设定','setpoint',c='led_diffuser',w=('illumination.set','fraction')) slot('camera.pixel_pitch_m',nullable(number('m')),'m','独立标定像素尺度；FOV变动失效','derived',c='camera') slot('method.mode',enum(['static','dynamic']),'1','静态Y-L轮廓或小Bond动态球冠模型','setpoint') for k,u,z in [('angle.indicated_rad','rad','从图像边缘拟合的平均接触角'),('angle.left_rad','rad','从像素轮廓拟合左接触角'),('angle.right_rad','rad','从像素轮廓拟合右接触角'),('volume.indicated_m3','m^3','由图像半宽积分及像素标定估计液滴体积')]:slot(k,nullable(number(u)),u,z,c='camera') for k,u,z in [('truth.drop_m3','m^3','有限样片液滴体积'),('truth.syringe_m3','m^3','有限针筒库存'),('truth.contact_angle_rad','rad','有效接触角真值'),('truth.contact_radius_m','m','模型接触线半径')]:slot(k,nullable(number(u)),u,z,'process_truth','evaluator') slot('clock.time_s',number('s'),'s','宿主时间');slot('acquisition.phase',PHASE,'1','异步操作状态');slot('acquisition.stage',TEXT,'1','移动/滴液/回吸/成像阶段');slot('acquisition.elapsed_s',number('s'),'s','本操作用时');slot('acquisition.points',INT(),'1','实际像素测量帧数') ASYNC=['stage.move','dispenser.move','liquid.transfer','acquisition.start'] IMAGE_STATES=['angle.indicated_rad','angle.left_rad','angle.right_rad','volume.indicated_m3'] STAGE_TARGETS=['stage.target_'+axis+'_m' for axis in 'xyz'] OPERATION_EFFECTS=['acquisition.phase','acquisition.stage','acquisition.elapsed_s','acquisition.points','lamp.measurement'] STEP_EFFECTS={ 'stage.move':['stage.'+axis+'_m' for axis in 'xyz']+['acquisition.elapsed_s','acquisition.phase'], 'dispenser.move':['dispenser.z_m','acquisition.elapsed_s','acquisition.phase'], 'liquid.transfer':['plunger.position_m','truth.drop_m3','truth.syringe_m3','truth.contact_angle_rad','truth.contact_radius_m','acquisition.elapsed_s','acquisition.phase','acquisition.points','lamp.measurement']+IMAGE_STATES, 'acquisition.start':['acquisition.elapsed_s','acquisition.phase','acquisition.points','lamp.measurement']+IMAGE_STATES, } IMMEDIATE_EFFECTS={ 'power.set':['power.enabled','power.angle_rad','lamp.measurement']+IMAGE_STATES, 'method.configure':['method.mode','camera.calibrated','camera.pixel_pitch_m']+IMAGE_STATES, 'sample.load':['sample.present','truth.contact_angle_rad'], 'sample.remove':['sample.present','truth.contact_angle_rad','truth.contact_radius_m']+IMAGE_STATES, 'stock.unload':['truth.syringe_m3','plunger.position_m'], 'drop.clean':['truth.drop_m3','truth.contact_angle_rad','truth.contact_radius_m']+IMAGE_STATES, 'camera.calibrate':['camera.calibrated','camera.pixel_pitch_m'], 'stage.move':OPERATION_EFFECTS+STAGE_TARGETS, 'dispenser.move':OPERATION_EFFECTS+['dispenser.target_m'], 'liquid.transfer':OPERATION_EFFECTS, 'acquisition.start':OPERATION_EFFECTS, 'acquisition.stop':['acquisition.phase','lamp.measurement','dispenser.target_m']+STAGE_TARGETS, 'sim.step':['clock.time_s']+list(dict.fromkeys(state for effects in STEP_EFFECTS.values() for state in effects)), } class BiolinThetaFlexRuntime: def __init__(self,instance_id='thetaflex_01'): self.instance_id=instance_id;self.plant=None;self.method=copy.deepcopy(METHOD_EXAMPLE);self.power=False;self.service=0.;self.q=[0.,0.,0.];self.target=self.q[:];self.dispenser=0.;self.dispenser_target=0.;self.focus=.006;self.illumination=.8;self.pitch=None;self.sid=None;self.stock_sid=None;self.stock=0.;self.volume=0.;self.loaded=0.;self.waste=0.;self.theta=None;self.radius=None;self.last_fit=None;self.last_fit_time=None;self.last_image=None;self.time_s=0.;self._ticks=0;self._remainder=0.;self.revision=0;self.phase='idle';self.stage='idle';self.elapsed=0.;self.rows=[];self.transfer_remaining=0.;self.transferred=0.;self.result_source=None;self.result_evidence=None;self.error=None;self.operation_id=None;self._counter=0;self._requests={};self._owners={};self.records={};self.liquid=None;self._principals={'agent':'agent','evaluator':'evaluator'} def register_principal(self,principal_id,visibility='agent'): if not isinstance(principal_id,str) or not principal_id or principal_id in self._principals or visibility not in ['agent','debug','evaluator']:raise ActionRejected('REQUEST_CONFLICT') self._principals[principal_id]=visibility def session(self,principal_id='agent'): if principal_id not in self._principals:raise ActionRejected('ACCESS_DENIED') return BiolinThetaFlexSession(self,principal_id) def describe(self):return export_biolin_thetaflex_contract_metadata() def read(self,role='evaluator'): d={'plant.configured':self.plant is not None,'power.enabled':self.power,'power.angle_rad':.32 if self.power else 0.,'lamp.measurement':self.power and self.phase=='running' and self.stage in ['capture','advance','recede'],'service.slide_m':self.service,'dispenser.z_m':self.dispenser,'dispenser.target_m':self.dispenser_target,'plunger.position_m':.04*(1-self.stock/self.plant['syringe_capacity_m3']) if self.plant else .04,'focus.position_m':self.focus,'illumination.fraction':self.illumination,'sample.present':self.sid is not None,'camera.calibrated':self.pitch is not None,'camera.pixel_pitch_m':self.pitch,'method.mode':self.method['mode'],'truth.drop_m3':self.volume,'truth.syringe_m3':self.stock,'truth.contact_angle_rad':self.theta,'truth.contact_radius_m':self.radius,'clock.time_s':self.time_s,'acquisition.phase':self.phase,'acquisition.stage':self.stage,'acquisition.elapsed_s':self.elapsed,'acquisition.points':len(self.rows)} for i,x in enumerate('xyz'):d['stage.'+x+'_m']=self.q[i];d['stage.target_'+x+'_m']=self.target[i] for s,k in [('angle.indicated_rad','mean_rad'),('angle.left_rad','left_rad'),('angle.right_rad','right_rad'),('volume.indicated_m3','volume_m3')]:d[s]=self.last_fit[k] if self.last_fit and self.power else None return {k:copy.deepcopy(v) for k,v in d.items() if role!='agent' or SLOTS[k][3]=='agent'} def _result(self): if self.phase!='running' and self.operation_id in self.records:return copy.deepcopy(self.records[self.operation_id]) return dict(phase=self.phase,stage=self.stage,operation_id=self.operation_id,elapsed_s=self.elapsed,rows=copy.deepcopy(self.rows),image_png_base64=self.last_image,template_source=self.result_source,evidence=self.result_evidence,error_code=self.error) def _rho_gamma(self): if self.liquid:return self.liquid['density_kg_m3'],self.liquid['surface_tension_n_m'] return self.plant['density_kg_m3'],self.plant['surface_tension_n_m'] def _ledger(self): error=self.loaded-self.stock-self.volume-self.waste;return dict(loaded_m3=self.loaded,syringe_m3=self.stock,drop_m3=self.volume,waste_m3=self.waste,volume_error_m3=error,mass_error_kg=error*(self._rho_gamma()[0] if self.plant else 0.)) def _idle(self): if self.phase=='running':raise ActionRejected('BUSY') def _ready(self): if not self.plant or not self.power or self.service>1e-9:raise ActionRejected('NOT_READY') def _aligned(self): if max(abs(a-b) for a,b in zip(self.q,[.04,.02,.025]))>.001:raise ActionRejected('SAMPLE_ALIGNMENT') def _capture(self): self._ready();self._aligned() if not self.volume or self.pitch is None:raise ActionRejected('NO_DROP_OR_CALIBRATION') rho,gamma=self._rho_gamma();s,b,p=render_drop(self.volume,self.theta,rho,gamma,self.method['field_width_m'],self.focus,self.illumination,self.method['mode']=='dynamic');f=image_fit(s,b,self.pitch,self.method['fit']);return dict(image_png_base64=s,baseline_px=b,pixel_pitch_m=self.pitch,measurement=f) 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) if k=='sim.step':self.step(a['dt_s']);return dict(time_s=self.time_s) before=copy.deepcopy(self.__dict__) try: r=self._invoke(k,a);validate(CAPS[k][1],r) if CAPS[k][4] not in ['query','analysis']:self.revision+=1 return r except Exception:self.__dict__.clear();self.__dict__.update(before);raise def _invoke(self,k,a): if k=='acquisition.result':return self._result() if k=='ledger.read':return self._ledger() if k=='analysis.image':return image_fit(**a) if k=='analysis.surface_energy':return surface_energy(a['observations']) if k=='analysis.surface_energy_reference':return reference_surface_energy(a['observations']) if k=='reference.liquid':return liquid_record(a['liquid_id']) if k=='reference.list':return dict(reference_ids=[i for i,v in LIB['substances'].items() if v['kind']=='pure_liquid_pair' and (a['liquid_id'] is None or v.get('liquid_id')==a['liquid_id']) and (a['substrate'] is None or v['substrate']==a['substrate'])]) if k=='analysis.hysteresis': if not a['advancing_rad'] or not a['receding_rad']:raise ActionRejected('INSUFFICIENT_PROBES') adv=max(a['advancing_rad']);rec=min(a['receding_rad']) if adv1e-9):raise ActionRejected('NOT_READY') self.power=a['enabled'];return a if k=='service.set': if self.power:raise ActionRejected('POWER_INTERLOCK') self.service=a['distance_m'];return a if k=='focus.set':self.focus=a['position_m'];return a if k=='illumination.set':self.illumination=a['fraction'];return a if k=='method.configure': if a['mode']=='dynamic' and (not self.plant or not self.plant['accept_dynamic_proxy'] or self.plant['advancing_rad'] is None):raise ActionRejected('DYNAMIC_INPUTS_REQUIRED') if a['field_width_m']!=self.method['field_width_m']:self.pitch=None;self.last_fit=None;self.last_image=None self.method=copy.deepcopy(a);return a if k=='sample.load': if self.sid or self.volume or self.stock:raise ActionRejected('SAMPLE_PRESENT') if a['reference_id'] not in LIB['substances']:raise ActionRejected('INVALID_REFERENCE') s=LIB['substances'][a['reference_id']];theta=s['values']['contact_angle_rad'] if s['conditions'].get('temperature_k') is None and not a['accept_unknown_conditions']:raise ActionRejected('UNKNOWN_CONDITIONS') if not .025self.plant['syringe_capacity_m3']:raise ActionRejected('CAPACITY') self.stock=a['volume_m3'];self.stock_sid=a['reference_id'];self.loaded+=self.stock;return dict(loaded=True) if k=='stock.unload': self.waste+=self.stock;self.stock=0.;self.stock_sid=None;return dict(unloaded=True) if k=='drop.clean': self.waste+=self.volume;self.volume=0.;self.radius=None;self.last_fit=None;self.last_image=None;self.theta=LIB['substances'][self.sid]['values']['contact_angle_rad'] if self.sid else None;return dict(cleaned=True) if k=='camera.calibrate': self._ready();self.pitch=a['known_length_m']/a['observed_pixels'];return dict(pixel_pitch_m=self.pitch) if k in ASYNC: self._ready() if k=='stage.move': if self.dispenser>.008:raise ActionRejected('NEEDLE_INTERLOCK') if a['z_m']+self.dispenser>STAGE_Z_MAX_M+1e-12:raise ActionRejected('NEEDLE_COLLISION') self.target=[a[x+'_m'] for x in 'xyz'];self.stage='move' elif k=='dispenser.move': if a['position_m']+self.q[2]>STAGE_Z_MAX_M+1e-12:raise ActionRejected('NEEDLE_COLLISION') self.dispenser_target=a['position_m'];self.stage='dispenser' elif k=='liquid.transfer': self._aligned();v=a['volume_m3'] if not self.sid or self.stock_sid!=self.sid:raise ActionRejected('NO_SAMPLE') if v==0 or v>self.stock or -v>self.volume or self.stock-v>self.plant['syringe_capacity_m3'] or self.volume+v>1e-8:raise ActionRejected('FINITE_INVENTORY') if self.dispenser<.014:raise ActionRejected('NEEDLE_POSITION') if v<0 and (self.method['mode']!='dynamic' or self.dispenser<.024):raise ActionRejected('WITHDRAW_REQUIRES_NEEDLE_CONTACT') if self.method['mode']=='dynamic': rec=self.plant['receding_rad'];adv=self.plant['advancing_rad'] if not rec<=self.theta<=adv:raise ActionRejected('DYNAMIC_INPUTS_REQUIRED') maxr=cap_radius(max(self.volume,self.volume+v),rec)*math.sin(rec);rho,gamma=self._rho_gamma();bo=rho*G*maxr*maxr/gamma if bo>.1:raise ActionRejected('DYNAMIC_BOND_LIMIT') self.transfer_remaining=v;self.stage='advance' if v>0 else 'recede' else: self._aligned() if not self.volume or self.pitch is None:raise ActionRejected('NO_DROP_OR_CALIBRATION') if self.dispenser>.010 and self.method['mode']=='static':raise ActionRejected('NEEDLE_IN_IMAGE') self.stage='capture' self._counter+=1;self.operation_id=self.instance_id+':'+str(self._counter);self.phase='running';self.elapsed=0.;self.rows=[];self.transferred=0.;self.error=None;self.last_image=None;self.result_source=json.dumps(LIB['substances'][self.sid]['source'],sort_keys=True) if self.sid else None;self.result_evidence='Synthetic pixel image from Young-Laplace sessile profile' if self.method['mode']=='static' else 'Synthetic pixel image, quasistatic pinned small-Bond spherical cap; adv/rec endpoints explicit engineering input';return dict(operation_id=self.operation_id) raise ActionRejected('UNKNOWN_CAPABILITY') def _finish(self,p,error=None): self.phase=p;self.error=error if self.operation_id:self.records[self.operation_id]=self._result() def _observe(self): c=self._capture();self.last_fit=c['measurement'];self.last_fit_time=self.time_s;self.last_image=c['image_png_base64'];v=self.last_fit;self.rows.append(dict(time_s=self.time_s,transferred_m3=self.transferred,observed_volume_m3=v['volume_m3'],left_rad=v['left_rad'],right_rad=v['right_rad'],mean_rad=v['mean_rad'],branch=self.stage,fit_residual_px=v['residual_px'])) def _tick(self): if self.phase!='running':return self.elapsed+=DT;done=False;exhausted=False if self.stage=='move': for i in range(3):self.q[i]+=math.copysign(min(abs(self.target[i]-self.q[i]),self.method['stage_speed_m_s']*DT),self.target[i]-self.q[i]) done=max(abs(a-b) for a,b in zip(self.q,self.target))<1e-12 if done:self.q=self.target[:] elif self.stage=='dispenser': self.dispenser+=math.copysign(min(abs(self.dispenser_target-self.dispenser),self.method['stage_speed_m_s']*DT),self.dispenser_target-self.dispenser);done=abs(self.dispenser-self.dispenser_target)<1e-12 if done:self.dispenser=self.dispenser_target elif self.stage in ['advance','recede']: available=self.stock if self.transfer_remaining>0 else min(self.volume,self.plant['syringe_capacity_m3']-self.stock) v=math.copysign(min(abs(self.transfer_remaining),self.method['flow_m3_s']*DT,max(0.,available)),self.transfer_remaining);self.volume+=v;self.stock-=v;self.transferred+=v;self.transfer_remaining-=v if self.volume==0:self.radius=None elif self.method['mode']=='dynamic' and self.radius is not None: new=cap_theta(self.volume,self.radius);self.theta=min(max(new,self.plant['receding_rad']),self.plant['advancing_rad']);self.radius=cap_radius(self.volume,self.theta)*math.sin(self.theta) else:self.radius=cap_radius(self.volume,self.theta)*math.sin(self.theta) done=self.transfer_remaining==0.;exhausted=not done and abs(v)>=max(0.,available) n=max(1,round(1/(self.method['frame_rate_hz']*DT)));sample_tick=round(self.elapsed/DT)%n==0 if self.stage=='capture' or self.method['mode']=='dynamic' and self.stage in ['advance','recede']: if (sample_tick or done) and (self.stage=='capture' or self.volume>5e-12) and self.pitch is not None: try:self._observe() except ActionRejected as e:self._finish('failed',str(e));return if self.stage=='capture':done=len(self.rows)>=self.method['frames'] if exhausted:self._finish('failed','INVENTORY_EXHAUSTED') elif done:self._finish('succeeded') def step(self,dt_s): validate(number('s',0,3600),dt_s);self._remainder+=dt_s;n=int((self._remainder+1e-12)/DT);self._remainder-=n*DT for _ in range(n):self._ticks+=1;self.time_s=self._ticks*DT;self._tick() if n:self.revision+=1 class BiolinThetaFlexSession: 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_biolin_thetaflex_contract_metadata();return dict(protocol_version=PROTOCOL_VERSION,asset_type_id=ASSET_TYPE_ID,asset_version=ASSET_VERSION,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.last_fit_time if k.startswith('angle.') or k=='volume.indicated_m3' else 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) if capability_id=='acquisition.stop' and self._role=='agent' and h._owners.get(h.operation_id,self._principal)!=self._principal:raise ActionRejected('ACCESS_DENIED') result=h.invoke(capability_id,**arguments);op=result.get('operation_id') if capability_id in ASYNC else None 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 and h.phase=='running':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_biolin_thetaflex_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='SI; contact angle measured through liquid; axisymmetric sessile droplet; camera baseline independently supplied',origin=o,visibility=v,access='read_write' if w else 'read_only',read_binding=dict(backend='host',artifact_id='runtime',accessor=f'BiolinThetaFlexSession.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='10ms physics ticks; frame period rounded to ticks; requested rate1–20Hz emulator scope, not OEM maximum'),source_ids=['simulation_assumption']) errors=['INVALID_ARGUMENT','INVALID_IMAGE','NO_DROP_EDGE','BASELINE_OR_EDGE','EDGE_RESOLUTION','FIT_FAILED','FIELD_OF_VIEW','DROP_SHAPE_RANGE','UNKNOWN_INSTANCE','UNKNOWN_CAPABILITY','UNKNOWN_OPERATION','UNSUPPORTED','ACCESS_DENIED','REQUEST_CONFLICT','INITIALIZATION_ONLY','BUSY','NOT_READY','NOT_RUNNING','MODEL_NOT_ACCEPTED','SAMPLE_ALIGNMENT','POWER_INTERLOCK','SAMPLE_PRESENT','NO_SAMPLE','STOCK_OR_REFERENCE','CAPACITY','LIQUID_PRESENT','INVALID_REFERENCE','UNKNOWN_CONDITIONS','COMPLETE_WETTING_UNSUPPORTED','DYNAMIC_INPUTS_REQUIRED','DYNAMIC_BOND_LIMIT','NEEDLE_INTERLOCK','NEEDLE_COLLISION','NEEDLE_POSITION','WITHDRAW_REQUIRES_NEEDLE_CONTACT','NEEDLE_IN_IMAGE','NO_DROP_OR_CALIBRATION','FINITE_INVENTORY','INVENTORY_EXHAUSTED','INSUFFICIENT_PROBES','DEGENERATE_PROBES','INVALID_HYSTERESIS','LIQUID_PROPERTIES_UNAVAILABLE','LIQUID_COMPONENTS_UNAVAILABLE'] for k,(inp,out,c,z,kind,vis,ex,effects) in CAPS.items(): un=k in UNSUPPORTED;asyn=k in ASYNC;caps[k]=dict(function_zh=z,kind=kind,visibility=vis,component_ids=c,availability='unsupported' if un else 'implemented',input_schema=copy.deepcopy(inp),output_schema=copy.deepcopy(out),implementation=dict(process='absent' if un else 'implemented',scene='absent',robot='absent',hardware='absent',host='absent' if un else 'implemented'),binding=None if un else dict(backend='host',artifact_id='runtime',entrypoint='asset_runtime.biolin_thetaflex.BiolinThetaFlexSession.invoke',invocation=f'session.invoke(instance_id="thetaflex_01",capability_id={k!r},arguments={ex!r},request_id="unique")'),preconditions=[] if kind in ['query','analysis'] or un else [dict(description_zh='原子参数、供电/库存/针位/台位/基线/标定互锁；非原厂硬件认证',state_ids=['power.enabled','plant.configured','acquisition.phase','sample.present'],enforced_by='runtime',check='atomic invoke;registered sessions;host step only')],state_effects=[dict(state_id=x,timing='immediate',description_zh='命令直接状态') for x in IMMEDIATE_EFFECTS.get(k,effects)],observes=[],model_effects=dict(mode='none',description_zh='场景姿态另行检验',binding_ids=[]),execution=dict(mode='asynchronous' if asyn else 'synchronous',time_domain='simulation',completion_criterion='位置到达、指定液体转移完成或拍摄指定帧数' if asyn else '同步操作返回；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','camera','sample_stage','dispenser','liquid'],partial_failure_zh='保留已转移液体、位置和图像，取消不回滚物理部分效果'),errors=[dict(code=x,meaning_zh=x,side_effects='partial' if asyn and x in ['INVENTORY_EXHAUSTED','INVALID_IMAGE','NO_DROP_EDGE','BASELINE_OR_EDGE','EDGE_RESOLUTION','FIT_FAILED','FIELD_OF_VIEW','DROP_SHAPE_RANGE'] else 'none') for x in errors],example_arguments=copy.deepcopy(ex),verification=[],limitations=['±0.1度为厂家指标，当前图像算法未通过该准确度认证','真实相机响应/噪声/真机故障/动态摩擦未验证'],source_ids=['manufacturer_specs','simulation_assumption']) if k in STEP_EFFECTS:caps[k]['state_effects'] += [dict(state_id=x,timing='on_step',description_zh='固定时步推进物料/执行器/图像观测') for x in STEP_EFFECTS[k]] mech=dict(component_ids=['camera','objective','led_diffuser','sample_plate','stage_x','stage_y','stage_z','syringe','needle','plunger'],state_ids=list(slots),meaning_zh='有穷滴液及准静态润湿轮廓、成像、独立接触角与表面能分析',implementation='lumped',equations=['Finite transfer dVdrop=-dVsyringe=Qdt clipped to requested signed volume; cleaning/unloading enters waste; total loaded=syringe+drop+waste','Sessile Young-Laplace: dr/ds=cos(phi), dz/ds=sin(phi), dphi/ds=2/Rapex+rho*g*z/gamma-sin(phi)/r; z downward from apex; shootRapex to finite volume, stop at reference contact angle','Dynamic only Bo_base<=0.1: pinned spherical cap V=pi*h*(3a^2+h^2)/6,theta=2atan(h/a); hold contact radius until explicitly supplied advancing/receding limits; contact line then moves; no hydrodynamic transient or needle meniscus model','1984x1264 uint8 projected polygon, optical blur from explicit focus model, background intensity; no empirical noise','Camera field_width is horizontal effectiveFOV engineering mapping of manufacturer diameter range; certified magnification/diameter-to-sensor relation unknown','Pixel Otsu segmentation selects largest connected droplet; known baseline, cubic side-edge polynomial tangent or circle least squares; neither reads reference contact angle','Observed volume=pi*integral(half_width_pixels^2)*calibrated_pitch^3; length calibration independent external length/pixels, FOV change invalidates it','OWRK gammaL*(1+cos(theta))=2*(sqrt(gammaSd*gammaLd)+sqrt(gammaSp*gammaLp)); nonnegative least squares from independent liquid components and observedangles; reject rank deficiency', 'Reference mode: sample.load(use_reference_liquid_properties=true) replaces the plant density/surface tension in the Young-Laplace profile, Bond limit and mass ledger by the cited library values of that liquid (temperature stated per value); analysis.surface_energy_reference uses cited probe-liquid OWRK components','Hysteresis=max(externaladvancingangles)-min(externalrecedingangles); data-backed static reference never silently turned into empirical hysteresis','Only hoststep advances time; pure imageanalysis/read/result queries cannot mutate physics or take operation ownership'],parameters={},source_ids=['manufacturer_specs','manufacturer_brochure','aluminum_data','bursik_data','dropletlab_data','blanco2016_phosphonium_ils','blanco2019_fatty_acid_ils','pereira2015_ils','hsp_pmma_2024','mems_review_2009_cho2004','nist_webbook_fluids','pubchem_hsdb','simulation_assumption'],limitations=['%d experimental response rows (168 legacy: 90 Al formulations/45 PTFE pure rows/33 binary mixtures; %d 2026-10 published pure-liquid angles); %d distinct pure liquids (%d with permissive licences) on %d solids are runtime-loadable; Pereira2015 IL angles are licence-flagged; source anomalies excluded'%(LIB['coverage']['real_response_templates'],LIB['coverage']['new_response_templates_2026_10'],LIB['coverage']['runtime_usable_distinct_pure_liquids'],LIB['coverage']['permissive_licence_runtime_usable_distinct_pure_liquids'],LIB['coverage']['distinct_solid_substrates_for_pure_liquids']), 'Published angles are not ThetaFlex-native; several sources report steady-state advancing or unspecified angle types, unknown temperature, or (Cho 2004 via review) integer degrees; each record keeps its own conditions and the runtime requires explicit acceptance of unknown conditions','127processedDropometerimages retained as real reference images, not nativeThetaFlexcamera data; independent fullrawimage metrology not_run','Static YoungLaplace numerical model, dynamic smallBond sphere approximation with explicitly assumedadvrec endpoints; full dynamic NavierStokes/contactline/needle distortion not_run','Certified0.1degree accuracy,3009fpsROI/fullresolutionbandwidth,CCDdistortion/noise/illuminationcalibration not_run','Localgeometry/actuatorrates/stroke/capacity andallocated26kg are numericalengineering proxies','Auto1 sampleXYZ commands represent manualpositioning; autonomous3axisOEMstage is not claimed','Pendantdrop/captivebubble/tilt/highpressure/topography/interfacialrheology/OEMcertifiedcalibration/hardware/robot not_run','Nominal3Ddrop size is fixed; quantitative changing drop pixels are API/outputPNG, not PhysXfluid mesh','Stage Z<=0.049m and stage Z+dispenser descent<=0.049m enforce local scene needle clearance0.1mm; engineering envelope, not manufacturer stroke','No filesystem/process sandbox truth-isolation claim']) spec=importlib.util.spec_from_file_location('_theta_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,{'optical_tensiometry':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']+'。' return dict(asset_type_id=ASSET_TYPE_ID,catalog_id=CATALOG_ID,capabilities=caps,state_slots=slots,mechanisms={'optical_tensiometry':mech})