1 1 2 0 0 Log Awp_attrib 1 1 Opasnet base connection Interface for uploading data to and downloading from the Opasnet Base. <a href="http://en.opasnet.org/w/Image:Opasnet_base_connection.ANA">Wiki description</a> Jouni Tuomisto 9. maata 2008 10:42 ktluser 12. Julta 2010 21:49 48,24 1,0,0,1,1,1,0,0,0,0 1,18,25,800,416,17 2,102,90,476,316 Arial, 15 0,Model Op_en2676,2,2,0,1,C:\temp\Opasnet_base_connection-1.ANA 79,1,1,0,1,9,2794,2159,15,0 2,40,50,640,600 Username 0 196,44,1 188,12 1,0,0,1,0,0,0,206,0,1 52425,39321,65535 Opasnet_username TabIndex:1 TextAlways 2 Analytica model ktluser 1. Aprta 2009 9:38 48,24 200,216,1 60,32 1,0,0,1,1,1,0,,0, 1,759,60,353,272,17 3 Analytica model: 140,28,-1 124,12 1,0,0,1,0,1,0,,0, 65535,65532,19661 Add a list of variable identifiers to be downloaded at the same time. First, give the number of Analytica variables (nodes) you want to upload. Then, fill in the table Object info. Finally, go back to main page. 140,140,-1 124,100 1,0,0,1,0,1,0,,0, N variables 0 140,180,1 116,12 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 N_variables2 Object info 0 140,204,1 116,12 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 Object_info Replace data? 0 264,140,1 256,12 1,0,0,1,0,0,0,374,0,1 52425,39321,65535 Replace_data_ Data source 0 264,116,1 256,12 1,0,0,1,0,0,0,374,0,1 Data_source Writerpsswd 0 196,68,1 188,12 1,0,0,1,0,0,0,206,0,1 52425,39321,65535 Writerpsswd Upload data: 264,300,-1 256,12 1,0,0,1,0,1,0,,0, 65535,65532,19661 Upload all data directly to Opasnet Base. This includes both object and explanation information (if not uploaded already) and the actual observations. 264,348,-1 256,36 1,0,0,1,0,1,0,,0, Provide general information: 264,20,-1 256,12 1,0,0,1,0,1,0,,0, 65535,65532,19661 Help pages in Opasnet about <a href="http://en.opasnet.org/w/Opasnet_Base">Opasnet Base</a> <a href="http://en.opasnet.org/w/Uploading_to_Opasnet_Base">Uploading to Opasnet Base</a> <a href="http://en.opasnet.org/w/Opasnet_base_connection">Opasnet Base connection</a> <a href="http://en.opasnet.org/w/Opasnet_Base_UI">Opasnet Base user interface</a> 652,68,-1 108,60 Choose the format of input data. 264,92,-1 256,12 1,0,0,1,0,1,0,,0, 65535,65532,19661 1 Copy-paste a data table ktluser 4. Febta 2010 7:10 48,24 72,216,1 60,32 1,541,26,589,389,17 Copy-paste a data table. After filling the two fields, go back to main page. 304,168,-1 252,120 1,0,0,1,0,1,0,,0, 2,693,146,476,224 Providing upload data: 304,36,-1 252,12 1,0,0,1,0,1,0,,0, 65535,65532,19661 Observations 0 308,152,1 248,80 1,0,0,1,0,0,0,366,0,1 52425,39321,65535 Copy_paste TabIndex:3 Object info 0 176,256,1 116,13 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 Object_info1_3_4 Data table 1 416,264,1 104,13 1,0,0,1,0,0,0,72,0,1 Data_table Check that your data table looks sensible: 160,264,-1 148,12 3 Node to be formatted as data table ktluser 4. Febta 2010 7:10 48,24 328,216,1 60,32 1,468,66,382,341,17 Columns ['EMEP_50i','EMEP_50j','urban_pop','rural_pop','urban_percent','rural_percent'] 224,272,1 48,12 [Formnode Columns1] ['EMEP_50i','EMEP_50j','urban_pop','rural_pop','urban_percent','rural_percent'] N_rows 0 172,181,1 116,13 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 N_rows First row must contain values, not column names! After filling the four fields go back to main page. 172,148,-1 124,100 1,0,0,1,0,1,0,,0, Analytica table 0 172,204,1 116,12 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 Analytica_table Columns 0 172,157,1 116,13 1,0,0,1,0,0,0,72,0,1 Columns 2 Node formatted as data table: 172,36,-1 124,12 1,0,0,1,0,1,0,,0, 65535,65532,19661 Object info 0 172,229,1 116,13 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 Object_info1_3_4 4 Ready-made data-table node ktluser 4. Febta 2010 7:10 48,24 456,216,1 60,32 1,770,118,445,300,17 Ready-made 0 212,156,1 148,12 1,0,0,1,0,0,0,154,0,1 52425,39321,65535 Ready_made Object info 0 212,180,1 148,12 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 Object_info1_3_4 Give the name of the Analytica node that is formatted as data table. Then, give object info and go back to main page. 212,148,-1 164,100 1,0,0,1,0,1,0,,0, 2 Node formatted as data table: 212,36,-1 164,12 1,0,0,1,0,1,0,,0, 65535,65532,19661 Model details ktluser 4. Febta 2010 7:10 48,24 664,352,1 48,24 1,0,0,1,1,1,0,,0, 1,10,46,1124,528,17 Password 0 736,352,1 160,12 1,0,0,1,0,0,0,142,0,1 52425,39321,65535 Opasnet_password TabIndex:2 TextAlways Platform 0 736,16,1 160,12 1,0,0,1,0,0,0,142,0,1 52425,39321,65535 Platform C) For very large variables: Upload only the object and location information. Create csv files of other data to c:\temp\ and upload them separately (you need a direct access to the Opasnet Base). 832,212,-1 256,68 1,0,0,1,0,1,0,,0, B) Upload so that the actual data is not visible without a password. Metadata is visible anyway. 832,88,-1 256,48 1,0,0,1,0,1,0,,0, 2,693,146,476,224 Writer jtue 24. maata 2009 9:36 48,24 184,40,1 48,24 1,298,13,707,463,17 W loc var a:= Locations; var b:= a[.j='obj_id_i']; var c:= cardinals[table1='loc']+a[@.j=1]; a:= array(a.j,[c, c, findid(b,obj,'ident'), a, a, a]); textify(a) 512,296,1 48,16 2,84,125,476,245 2,318,186,606,278,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 100,1,1,1,1,9,2970,2100,15,0 [Sys_localindex('I'),16,Sys_localindex('I'),1,Sys_localindex('J'),1] W loccell var a:= Loccells; var b:= textify(findid(a[.j='id'], obj, 'ident')); var c:= textify(a[.j='loc_id']); b:= findid(b&'+'&c, (if Loc.j='obj_id_i' then Loc&'+'&Loc[.j='location'] else Loc), 'obj_id_i'); a:= array(a.j,[(@a.i+cardinals[table1='loccell']), (a+cardinals[table1='cell']), b]); textify(a) 512,384,1 48,16 2,776,90,476,487 2,33,106,453,537,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 W cell var a:= Cells; a:= array(a.j, [ a[.j='id']+cardinals[table1='cell'], W_actobjs[@w_actsi=lap*2], a, a, a]); textify(a) 512,336,1 48,16 2,783,409,476,379 2,14,241,659,368,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [Sys_localindex('J'),1,Sys_localindex('I'),1,Sys_localindex('J'),1] W obj var a:= Objects; var b:= if a[.j='ident'] = 0 then -1 else a[.j='ident']; b:= findid(b, obj, 'ident'); b:= if b='0' then cardinals[table1='obj']+a[.j='id'] else b; a:= if a.j='id' then b else a; textify(a) 512,96,1 48,16 2,372,300,476,343 2,590,354,626,444,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [] W act Index j:= ['id', 'acttype_id','who','comments']; var a:= Acts[.j=j]; a:= if j='id' then a+cardinals[table1='act'] else a; a:= if a=null or a=0 then '' else a&''; textify(a) 512,136,1 48,16 2,66,82,476,340 2,34,242,690,459,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [Sys_localindex('J'),1,Sys_localindex('I'),1,Sys_localindex('J'),1] W res var a:= Results; index i:= subset(if a[.j='result']=null and a[.j='description']=0 then 0 else 1); a:= a[.i=i]; a:= array(a.j, [textify(a.i+Cardinals[table1='res']), textify(a+ Cardinals[table1='cell']), textify(a),a,a]); if a=null then '' else a 512,424,1 48,13 2,629,191,582,297 2,461,218,609,375,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] Object info for lap Object_info[N_vars=Lap] 176,336,1 48,20 2,140,217,476,224 2,653,25,488,226,0,MIDM 2,104,359,460,228,0,MIDM 52425,39321,65535 [N_vars,Info] [N_vars,Info] [0,1,1,0] Loccells var a:= cellulise(Data_table); index temp:= copyindex(a.j); a:= a[.j=temp]; index j:= ['id', 'cell_id', 'loc_id']; index i:= 1..size(a); a:= array(j,[a.temp, @a.cell, a]); concatrows(a,a.temp,a.cell,i) 400,384,1 48,16 2,692,58,526,536 2,51,58,552,488,0,MIDM [Sys_localindex('J'),Sys_localindex('I'),Undefined,Undefined,Undefined,1] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] [Sys_localindex('J'),3,Sys_localindex('CELL'),1,Sys_localindex('J'),1] Results var a:= Data_table; var b:=cellulise(a); index temp:= jointext(b,b.j,','); b:= @temp; var c:= removecol(a); c:= jointext(c,c.j,','); b:= b[temp=c]; a:= a[.j='result']; index j:= ['id','cell_id','obs','result','restext']; array(j,[0, b, data_table[.j='obs'], (if istext(a) then '' else a) , (if istext(a) then a else '')]) 400,424,1 48,16 2,58,93,581,567 2,662,12,469,411,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [Run,2,Sys_localindex('J'),1,Sys_localindex('I'),1] Locations var a:= removecol(data_table); index temp:= ['obj_id_i','location']; a:= array(temp,[a.j,a]); index temp2:= 1..size(a.j)*size(a.i); a:= concatrows(a,a.j,a.i,temp2); index i:= unique(a,a.temp2); a:= a[.temp2=i]; index j:= ['id', 'std_id', 'obj_id_i', 'location', 'description']; a:= array(j,[@i, @i, a[temp='obj_id_i'], a[temp='location'], '']) 400,296,1 48,16 2,498,99,476,581 2,594,317,495,259,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 ['','','','',''] [Self,4,Sys_localindex('J'),1,Sys_localindex('I'),1] Data table Data_table1; Data_table2; Data_table3; Data_table4; var a:= evaluate('Data_table'&selecttext(Data_source,1,1)); indexify(a) 176,208,1 48,16 2,150,90,482,501 2,132,110,698,233,0,MIDM [Formnode Data_table8] [Sys_localindex('I'),Sys_localindex('J')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [1,1,1,0] [Sys_localindex('I'),1,Sys_localindex('J'),1] Info ['Analytica identifier','ident','name','unit','# explanation cols','observation name','probabilistic?'] 200,48,1 48,13 2,102,90,476,379 2,90,166,416,303,0,MIDM ['Analytica identifier','ident','name','unit','# explanation cols','observation name','probabilistic?'] Objects Index j:= ['id','ident','name','unit','objtype_id','page','wiki_id']; index i:= copyindex(N_vars); var a:= Object_info[Info=j]; var Ident:= Object_info[Info='ident']; a:= if a=null then 0 else a; var b:= sum(findintext(wikis,ident)*@wikis,wikis); var c:= if b=0 then '' else wikis[@wikis=b]; c:= if b=0 then '2664' else selecttext(ident,1+textlength(c)); a:= array(j,[@N_vars, ident, a, a, 1, c&'', if b=0 then '1' else b&'']); a[@N_vars=@i] 400,96,1 48,16 2,573,29,547,724 2,11,31,656,283,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] [Indices,1,Sys_localindex('J'),1,Sys_localindex('I'),1] Copy-paste 'Country Year Diagnosis Sex Age Deaths Seychelles 2001 AAA Male 0-365 days 8 Seychelles 2001 AAA Female 0-365 days 11 Seychelles 2001 A00-B99 Male 0-365 days 0 Seychelles 2001 A00-B99 Female 0-365 days 0 Seychelles 2001 A00 Male 0-365 days 0 Seychelles 2001 A00 Female 0-365 days 0 Seychelles 2001 A09 Male 0-365 days 0 Seychelles 2001 A09 Female 0-365 days 0 Seychelles 2001 A01-A08 Male 0-365 days 0 Seychelles 2001 A01-A08 Female 0-365 days 0' 64,256,1 52,16 2,586,79,476,465 [Formnode Observations3] 52425,39321,65535 Data table1 var a:= splittext(textreplace(Copy_paste, chr(10),'',true),chr(13)); index columns:= splittext(slice(a,1), chr(9)); index rows:= 1..size(a)-1; a:= slice(a,rows+1); a:= splittext(a, chr(9)); a:= for y:= rows do (slice(a[rows=y],@columns)); observise(a) 64,208,1 48,16 2,7,115,476,362 2,578,406,623,231,0,MIDM [Sys_localindex('ROWS'),Sys_localindex('COLUMNS')] [1,1,1,0] ['Country Year ICD-10 Sex Age Deaths','Seychelles 2001 AAA Male 0-365 days 8','Seychelles 2001 AAA Female 0-365 days 11','Seychelles 2001 A00-B99 Male 0-365 days 0','Seychelles 2001 A00-B99 Female 0-365 days 0','Seychelles 2001 A00 Male 0-365 days 0','Seychelles 2001 A00 Female 0-365 days 0','Seychelles 2001 A09 Male 0-365 days 0','Seychelles 2001 A09 Female 0-365 days 0','Seychelles 2001 A01-A08 Male 0-365 days 0','Seychelles 2001 A01-A08 Female 0-365 days 0'] [Rows,7,Sys_localindex('COLUMNS'),1,Sys_localindex('ROWS'),1] Testvariable Table(Time,Testindex)( uniform(0,1), uniform(1,2), uniform(2,3) ) 72,448,1 48,24 2,424,516,416,303,0,MIDM [Time,Testindex] [Time,Testindex] [1,0,0,0] Testindex ['item 1'] 72,480,1 48,12 2,102,90,476,224 ['item 1'] W cellsec (if w_cell.j = 'mean' then '' else W_cell) 624,336,1 48,16 2,782,213,476,379 2,41,191,618,368,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 Cells var a:= Data_table; index j:= ['id', 'actobj_id', 'mean', 'sd', 'n']; if 1-proba then array(j,[@a.i,'', a[.j='result'], '', 1]) else ( var b:=cellulise(a); b:= jointext(b,b.j,','); var c:= removecol(a); c:= jointext(c,c.j,','); index temp:= ['mean','sd','n']; var e:= for x[]:= b do ( var d:= if x=c then a[.j='result'] else null; d:= array(temp,[mean(d,d.i), sdeviation(d,d.i), sum(d<>null,d.i)]) ); b:= array(j, [@b.cell, '', e[temp='mean'], e[temp='sd'], e[temp='n']]); index i:= copyindex(b.cell); b[.cell=i] ) 400,336,1 48,16 2,12,13,526,645 2,481,93,608,328,0,MIDM [Sys_localindex('J'),Sys_localindex('I'),Undefined,Undefined,Undefined,1] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] [N_vars, 2, Sys_localindex('I'), 1, Sys_localindex('J'), 1 ] Data table2 var a:= Object_info_for_lap[Info='Analytica identifier']; a:= if proba then sample(evaluate(a)) else evaluate(a); var c:= Object_info_for_lap[Info='observation name']; c:= if c='' or c=0 then 'result' else c; index temp:= concat(indexnames(a),[c]); index rows:= 1..size(a); a:= if size(a)=1 then array(rows,temp,[a]) else Mdarraytotable(a, rows, temp); index columns:= if temp='Run' then 'obs' else temp; a[@temp=@columns] 64,336,1 48,20 2,29,169,476,444 2,607,20,630,303,0,MIDM [Sys_localindex('ROWS'),Sys_localindex('COLUMNS')] [1,1,1,0] [N_vars,1,Sys_localindex('J'),1,Sys_localindex('I'),1] Proba var a:= Object_info_for_lap[Info='probabilistic?']; (a=1 or a='Yes' or a='Y' or a='yes' or a='y') 64,392,1 48,16 Data source Choice(Self,2,False) 176,160,1 48,16 2,102,90,476,224 [Formnode Data_source1] 52425,39321,65535 ['1 Copy-paste table','2 Analytica model','3 Node to be formatted as data table','4 Ready-made data table node'] [1,1,0,0] N vars 1.. N_variables 200,72,1 48,12 [1] N variables if selecttext(Data_source,1,1)='2' then N_variables2 else 1 200,96,1 48,12 19661,48336,65535 Lap 1 176,392,1 48,16 [0,1,0,1] Indices copyindex(Find_ind) 400,260,1 48,12 2,140,321,476,409 2,40,50,416,303,0,MIDM ['Country','Year','Diagnosis','Sex','Age','Population'] Object info Table(Info,N_vars)( 'Testvariable', 'Op_en3017', 'Population of Europe', '#', 2, 'Population', 0 ) 200,24,1 48,16 2,140,217,476,224 2,55,394,494,259,0,MIDM 2,590,303,460,228,0,MIDM [Formnode Object_info4] 52425,39321,65535 [N_vars,Info] [N_vars,Info] [1,1,1,0] Analytica table Table(Columns,Rows)( 100,100,100,100,100,100,100,100,100,100, 39,40,41,42,43,44,45,46,47,48, 350.3331,12.10883K,20.49083K,65.12146K,10.65541K,63.93065K,132.8843K,11.6309K,972.9814,1906.627, 658.3089,15.28316K,12.29549K,48.74333K,25.52386K,30.559K,31.63117K,10.5147K,2582.084,3018.175, 0.347331461509634,0.442057331358547,0.624981089673986,0.571919203469308,0.294516998270004,0.676588917410531,0.807731333715911,0.525201394407919,0.273688748454529,0.387147950313535, 0.652668538490366,0.557942668641453,0.375018910326014,0.428080796530692,0.705483001729996,0.323411082589469,0.192268666284089,0.474798605592082,0.7263112515454711,0.612852049686465 ) 64,80,1 48,24 2,38,23,716,390,0,MIDM 2,248,258,639,303,0,MIDM [Formnode Analytica_table2] 52425,39321,65535 [Columns,Rows] [Columns,Rows] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 Rows 1..N_rows 64,112,1 48,12 [1,2,3,4,5,6,7,8,9,10] 10 64,136,1 48,12 1,1,1,1,1,1,0,0,0,0 [Formnode N_rows1] 52425,39321,65535 Acts Index j:= ['id', 'acttype_id','who','comments']; var c:= ''; var x:= 1; var b:= while x<= size(N_vars) do (x:= x+1; c:= c&',create,upload'); b:= selecttext(b,2); index i:= splittext(b,','); array(j,[ @i, if i='create' then 1 else (if selecttext(replace_data_,1,1)='Y' then 4 else 5), opasnet_username, if i ='upload' then 'Analytica '&Analyticaedition&', ('&Analyticaplatform&'), Version: '&textify(Analyticaversion) else '']) 400,136,1 48,16 2,29,37,525,724 2,29,360,694,283,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] ['',''] [Self,1,Sys_localindex('I'),1,Sys_localindex('J'),1] Upload type 1. 64,224,-1 56,56 1,0,0,1,0,1,0,,0, Upload type 3. 64,84,-1 56,76 1,0,0,1,0,1,0,,0, Upload type 2. 120,356,-1 112,60 1,0,0,1,0,1,0,,0, W actobj index j:= ['id', 'act_id', 'obj_id', 'series_id']; var a:= w_act; a:= array(j,[ @a.i+cardinals[table1='actobj'], W_acts[@w_actsi=@a.i], W_objs[@N_vars=round(@a.i/2+0.1)], if a[.j= 'acttype_id'] = '5' then Seriess[@N_vars = round(@a.i/2+0.1)] else W_acts[@w_actsi=@a.i]]); textify(a) 624,136,1 48,16 2,77,45,476,340 2,422,292,690,285,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [] [Sys_localindex('J'),1,Sys_localindex('I'),1,Sys_localindex('J'),1] Find ind copyindex(removecol(data_table).j) {var a:= Data_table.j[@.j=1..(size(Data_table.j)-1)]; a:= jointext(a,,','); var b:= Object_info[Info='Analytica identifier']; var c:= ['Run']; var x:= 1; while x<=size(b) do ( c:= concat(c,indexnames(evaluate(slice(b,x)))); x:= x+1); c:= textreplace(c, '.' , ''); index temp:= 1..size(c); c:= slice(c, temp); c:= c[temp= unique(c,temp)]; index i:= 1..(size(c)-1); c:= slice(c, i+1); b:= jointext(c,c.i,','); a:= if selecttext(Data_source,1,1)='2' then b else a; splittext(a,',')} 400,200,1 48,12 2,24,99,476,418 2,264,274,416,303,0,MIDM [Self,Sys_localindex('I')] ['Run'] Series 9.6.2010 Jouni Tuomisto Why is this not just simply Cardinal? Because this looks for the previous replace event of the same object. This is used in the case that this upload is an append, not a replace. for x[]:= W_obj.i do ( var a:= query(' SELECT MAX(act.id) FROM actobj LEFT JOIN act ON actobj.act_id = act.id WHERE obj_id = '&chr(39)&W_obj[.j = 'id', .i = x]&chr(39)&' AND acttype_id = 4 '); a[@.j = 1, @.i=1] ) 624,96,1 48,16 2,102,90,476,374 2,258,57,416,303,0,MIDM 39325,65535,39321 [Sys_localindex('I'),Sys_localindex('J')] Data table4 var a:= ready_made; a:= if istext(a) and size(a)=1 then evaluate(a) else a; observise(a) 352,48,1 48,16 2,4,175,482,501 2,17,71,736,338,0,MIDM 19661,48336,65535 [Sys_localindex('ROWS'),Sys_localindex('COLUMNS')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [1,1,1,0] [Sys_localindex('I'),1,Sys_localindex('J'),1] Data table3 observise(analytica_table) 64,40,1 48,16 2,4,175,482,501 2,12,93,736,338,0,MIDM [Rows,Sys_localindex('COLUMNS')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [1,1,1,0] [Sys_localindex('I'),1,Sys_localindex('J'),1] index columns:= ['Country','Year','Diagnosis','Sex','Age','Deaths']; index rows:= 1..10; array(rows,columns,[["Seychelles","2001","AAA","Male","0-365 days","8"], ["Seychelles","2001","AAA","Female","0-365 days","11"], ["Seychelles","2001","A00-B99","Male","0-365 days","0"], ["Seychelles","2001","A00-B99","Female","0-365 days","0"], ["Seychelles","2001","A00","Male","0-365 days","0"], ["Seychelles","2001","A00","Female","0-365 days","0"], ["Seychelles","2001","A09","Male","0-365 days","0"], ["Seychelles","2001","A09","Female","0-365 days","0"], ["Seychelles","2001","A01-A08","Male","0-365 days","0"], ["Seychelles","2001","A01-A08","Female","0-365 days","0"]]) 576,48,1 48,24 2,264,274,617,303,0,MIDM [Sys_localindex('COLUMNS'),Sys_localindex('ROWS')] W ind var a:= Indices1; var b:= if a[.j='ident'] = 0 then -1 else a[.j='ident']; b:= findid(b, obj, 'ident'); b:= if b='0' then cardinals[table1='obj']+a[.j='id'] else b; a:= if a.j='id' then b else a; textify(a) 512,232,1 48,16 2,372,300,476,343 2,429,135,626,444,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [] Indices Index j:= ['id','ident','name','unit','objtype_id','page','wiki_id']; var a:= array(j,[@indices, indices, indices, '', 6, 2664, 1]); index i:= copyindex(indices); a[indices=i] 400,232,1 48,16 2,573,29,547,724 2,11,31,656,283,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] [Indices,1,Sys_localindex('J'),1,Sys_localindex('I'),1] Ready-made Va1 464,46,1 48,22 2,4,175,482,501 2,17,71,736,338,0,MIDM [Formnode Ready_made1] 52425,39321,65535 [Sys_localindex('COLUMNS'),Sys_localindex('ROWS')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [1,1,1,0] [Sys_localindex('I'),1,Sys_localindex('J'),1] N variables 1 288,148,1 48,12 [Formnode N_variables3] 52425,39321,65535 Upload type 4. 468,44,-1 172,36 1,0,0,1,0,1,0,,0, W objs Table(N_vars)( '599' ) 624,216,1 48,16 2,372,300,476,343 2,590,354,626,444,0,MIDM 52427,56425,65535 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [] W acts Table(W_actsi)( '441','442' ) 624,248,1 48,16 2,66,82,476,340 2,38,26,208,200,0,MIDM 52427,56425,65535 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [Sys_localindex('J'),1,Sys_localindex('I'),1,Sys_localindex('J'),1] W actobjs Table(W_actsi)( '904','905' ) 624,280,1 48,16 2,77,45,476,340 2,349,265,690,459,0,MIDM 52427,56425,65535 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [] [Sys_localindex('J'),1,Sys_localindex('I'),1,Sys_localindex('J'),1] W_actsi 1..size(N_vars)*2 624,304,1 48,13 39321,39325,65535 [1,2] Seriess Table(N_vars)( 440 ) 624,184,1 48,16 2,77,45,476,340 2,349,265,690,459,0,MIDM 52427,56425,65535 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [] [Sys_localindex('J'),1,Sys_localindex('I'),1,Sys_localindex('J'),1] (a) Indexify var node:= selecttext(data_source,1,1)='2'; var N_indices:= Object_info_for_lap[Info='# explanation cols']; N_Indices:= if node then size(a.columns)-1 else N_indices+proba; index h:= if N_indices=0 then [] else a.columns[@a.columns=1..N_indices]; var c:= Object_info_for_lap[Info='observation name']; c:= if c='' or c=0 or node then 'Observation' else c; index j:= concat(h,[c,'result']); index obs:= a.columns[@a.columns=(N_indices+1)..size(a.columns)]; index temp:= 1..size(a.rows)*size(obs); var conv:= if j='result' then @obs+N_indices else @j; a:= a[@.columns=conv]; a:= if @j=size(j)-1 then obs else a; a:= concatrows(a, obs, a.rows, temp); a:= if j='result' then (var d:= a[j='result']; if evaluate(d)=null then d else evaluate(d)) else a; index i:= Subset(a[j='result']<>null); a[temp=i] 72,424,1 48,12 2,745,11,476,650 a (a) observise if 1-proba then ( index columns:= concat(['obs'],a.columns); a:= a[.columns=columns]; a:= if columns='obs' then @a.rows else a) else ( var node:= selecttext(data_source,1,1)='2'; var N_indices:= Object_info_for_lap[Info='# explanation cols']; N_Indices:= if node then size(a.columns)-1 else N_indices; index expl:= 1..N_indices; var b:= jointext(a[@.columns=expl],expl,'+'); index cell:= unique(b, b.rows); var c:= b[@.rows=cell]; b:= b=c; b:= sum(cumulate(b,b.rows)*b,cell); b:= if N_indices=0 then @a.rows else b; index columns:= concat(['obs'],a.columns); if columns='obs' then b else a[.columns=columns] ) 72,400,1 48,12 2,94,57,476,596 a (a) Cellulise {var b:= jointext(a.j,a.j,','); b:= Textreplace(b, 'obs,',''); index h:= splittext(Textreplace(b, ',result',''),','); a:= a[.j=h];} a:= removecol(a); var b:= if proba then a else @a.i; index cell:= unique(b,b.i); a:= a[.i=cell]; 72,448,1 48,12 2,724,314,476,498 a Reader ktluser 3. Augta 2008 18:31 jtue 9. lokta 2008 14:01 48,24 312,40,1 48,24 1,1,1,1,1,1,0,0,0,0 1,601,119,477,429,17 Arial, 15 (vident:text, seriesid:optional) Read mean Reads the mean data about the vident variable from the Opasnet Base. Uses the run with runid as run.id if specified; otherwise uses the newest run of that variable. PARAMETERS: * Vident: the ident of the variable in the Opasnet Base. * Runid: the id of the run from which the results will be brought. If omitted, the newest result will be brought. Change run to act if isnotspecified(seriesid) or istext(seriesid) then seriesid:= Newest_series(vident); query( ' SELECT obj.ident, obj.name, obj.unit, cell.id as cell_id, mean, sd, n, act_id, comments, time, std.location, ind.ident AS iident, ind.name AS iiname, actobj.series_id FROM obj LEFT JOIN actobj ON obj.id = actobj.obj_id LEFT JOIN act ON act.id = actobj.act_id LEFT JOIN cell ON cell.actobj_id = actobj.id LEFT JOIN loccell ON loccell.cell_id = cell.id LEFT JOIN loc ON loccell.loc_id = loc.id LEFT JOIN loc as std ON loc.std_id = std.id LEFT JOIN obj as ind ON std.obj_id_i = ind.id WHERE obj.ident = '&chr(39)&vident&chr(39)&' AND actobj.series_id = '&chr(39)&seriesid&chr(39) ) 56,80,1 48,12 2,585,25,516,589 39325,65535,39321 vident,seriesid (vident:text) Newest series This function checks for the newest result (according to run_id) of the variable. The function is used if the user does not define the run_id as an optional parameter in functions Read_mean and Read_sample. PARAMETERS: * Vident: the Ident of the variable in the Opasnet Base. var a:= query(' SELECT actobj.series_id, var.ident FROM obj AS var LEFT JOIN actobj ON var.id = actobj.obj_id LEFT JOIN act ON actobj.act_id = act.id WHERE var.ident = "'&vident&'" '); max(a[@.j=1],a.i) 56,22,1 48,22 2,678,59,476,566 39325,65535,39321 vident (vident:text, seriesid:optional) Read sample Reads the sample data about the vident variable from the Opasnet Base. Uses the runident run if specified; otherwise uses the newest run of that variable. PARAMETERS: * Vident: the name of the variable in the Opasnet Base. * Runid: the id of the run from which the results will be brought. If omitted, the newest result will be brought. chenge run to act add restext if isnotspecified(seriesid) or istext(seriesid) then seriesid:= Newest_series(vident); query( ' SELECT obj.id AS obj_id, obj.ident, obj.unit, ind.ident as iident, cell.id AS cell_id, location, mean, n, obs, result, restext FROM obj LEFT JOIN actobj ON actobj.obj_id = obj.id LEFT JOIN act ON actobj.act_id = act.id LEFT JOIN cell ON cell.actobj_id = actobj.id LEFT JOIN loccell ON loccell.cell_id = cell.id LEFT JOIN loc ON loccell.loc_id = loc.id LEFT JOIN obj as ind ON loc.obj_id_i = ind.id LEFT JOIN res ON res.cell_id = cell.id WHERE obj.ident = '&chr(39)&vident&chr(39)&' AND actobj.series_id = '&chr(39)&seriesid&chr(39) ) 56,112,1 48,22 2,55,35,516,612 39325,65535,39321 vident,seriesid Enter variable Ident 'Op_en1912' 168,83,1 48,27 [Formnode Enter_variable1] 52425,39321,65535 Enter variable 0 288,24,1 176,13 1,0,0,1,0,0,0,170,0,1 52425,39321,65535 Enter_variable Newest series Newest_series(Enter_variable) 288,61,1 48,22 2,200,56,416,303,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] Var info read_mean(Enter_variable) 288,116,1 48,12 2,28,65,1144,438,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] (a,b,x) Makeind The input table a must have a structure that is also used as input for MDTable function. The function removes one column with location information and makes a dimension (index) with the locations in the column. Inde is the (local) index that will be added. Note that unlike MDTable function, this can use local indices in the output. index inde / slice(b.m, x) := b[.n = unique(b[@.m = x], b.n), @b.m = x]; a:= if inde = a[@.m=1] then a else 0; index m:= slice(a.m,(2..size(a.m))); a:= a[.m=m] 56,192,1 48,12 2,61,72,476,454 a,b,x (a) Get cell_id Makes a multi-dimensional array with the same structure as the original variable that was stored into the Opasnet Base. The contents of the array are the cell_ids of the variable. The input parameter must be a 2D table with the structure that comes from the Read_mean function. 1) Slices the necessary columns from the input table and converts that to a 2D table that has the same structure as is used for input to the function MDTable. 2) Defines the local indices, and changes a location column to a dimension one at a time until all columns have been changed. NOTE! There is a problem that if there are two or more cells with the exactly same locations, only the one with a largest cell_id will be taken. index k:= ['iident','location','cell_id', 'act_id']; a:= a[.j=k]; a:= if a.k = 'iident' then textreplace(a, ' ', '_', true) else a; index L:= a[@k=1]&'+'&textify(a[@k=3]); index m:= concat(a[.i=unique(a[@k=1],a.i), @k=1],['act_id', 'result']); index n:= a[.i=unique(a[@k=3],a.i), @k=3]; a:= a[@.i=@L]; var c:= a[L=(m)&'+'&textify(n), @k=4, @m=1]; a:= a[L=(m)&'+'&textify(n), @k=2]; a:= if m='result' then n else a; a:= if m='act_id' then c else a; var b:= a; var x:= 1; a:= while x< size(b.m) do ( a:= makeind(a,b,x); x:= x+1; a); a:= max(a[@.m=1], a.n); if size(a.act_id)=1 then a[@.act_id = 1] else a 56,168,1 48,13 2,160,51,476,628 a Var mean get_mean(Enter_variable) 288,140,1 48,12 2,835,77,420,564,0,MIDM [Sys_localindex('ACT_ID'),Sys_localindex('MONTH')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [Sys_localindex('M'),1,Sys_localindex('N'),1,Sys_localindex('ACTION'),1] (vident:text, runident:optional) Get mean Gives the mean result of a (multidimensional) variable stored in the Opasnet Base. The procedure is simple because it utilises the variable structure (with res_ids) derived by the get_res_id function. var a:= read_mean(vident, runident); index o:= a[.j='cell_id']; index j:= ['mean','sd']; var output:= a[@.i=@o, .j = j]; a:= Get_cell_id(a); {output[o=a]} 56,216,1 48,12 2,114,117,476,428 vident,runident (vident:text, runident:optional) Get sample Gives the sample result of a (multidimensional) variable stored in the Opasnet Base. The procedure is simple because it utilises the variable structure (with res_ids) derived by the get_res_id function. Note that if the Analytica samplesize is smaller than the samplesize stored in the Opasnet Base, the extra samples will be discarded. If the samplesize is larger, the remaining rows will be null. 1) Brings the data into the right structure. 2) Chooses whether the actual result is numerical (in the Result column) or text (in the Description column). var a:= read_sample(vident, runident); var b:= textify(Get_cell_id(read_mean(vident,runident))); index k:= textify(a[.j='cell_id'])&'+'&textify(a[.j='obs']); index runn:= min(a[.j='obs'],a.i)..max(a[.j='obs'],a.i); a:= if a[.j='restext'] = '' then a[.j='result'] else a[.j='restext']; a:= a[@.i=@k]; a:= a[k=b&'+'&runn]; a:= if max(runn)=0 then a[@runn=1] else a[@runn=@run]; 56,240,1 48,12 2,613,48,476,556 vident,runident Var sample get_sample(Enter_variable) 288,164,1 48,12 2,86,111,476,224 2,18,155,646,307,0,MEAN [Sys_localindex('OP_EN1899'),Sys_localindex('SALMON')] [Sys_localindex('OP_EN1898'),1,Sys_localindex('YEAR'),1,Sys_localindex('SALMON'),1,Sys_localindex('OP_EN1899'),1] Var run info Describes the runs of the defined variable. This should be made a function. var_run_info(Enter_variable) 288,92,1 48,12 2,41,152,1235,369,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] (vident:text) Var run info This function checks for the newest result (according to run_id) of the variable. The function is used if the user does not define the run_id as an optional parameter in functions Read_mean and Read_sample. PARAMETERS: * Vident: the Ident of the variable in the Opasnet Base. Change: objinfo to act run to act add objact query( ' SELECT obj.id AS ovj_id, obj.ident, obj.name, obj.unit, actobj.series_id, actobj.act_id, comments, act.time, act.who FROM obj LEFT JOIN actobj ON obj.id = actobj.obj_id LEFT JOIN act ON act.id = actobj.act_id WHERE obj.ident = '&chr(39)&vident&chr(39)&' ') 56,56,1 48,13 2,182,31,476,566 39325,65535,39321 vident Use these functions to retireve data from the Opasnet Base: * Newest_series: finds the newest upload of the object. * Obj_act_info: Finds the action information of the object. * Read_mean: Reads the means of each cell. * Get_mean: Makes read_mean table into an array. * Read_sample: Reads the whole sample. * Get_sample: Makes read_sample table into a probabilistic array. 280,294,-1 168,110 (a:text) Query Performs a query and results the standard table with columns .j and rows .i. Lap; index i:= DBquery(Odbc,a); index j:= dblabels(i); dbtable(i,j) 56,144,1 48,13 2,100,154,476,566 39325,65535,39321 a Wikis Names of different wikis used. Table(Self)( 'Op_en','Op_fi','Heande','En','Fit','Erac','Beneris','Intarese','Piltti','Kantiva','Bioher','Heimtsa') [1,2,3,4,5,8,9,10,11,13,14,15] 184,168,1 48,16 65535,52427,65534 [Self] (a) Textify if a = null then '' else a&'' 72,376,1 48,12 2,309,205,559,372 a 2,F,4,14,0,0,4,0,$,0,"ABBREV",0 (a; file:texttype) Tablefy a:= '"'&a&'"'; a:= jointext(a,a.j,';'); Writetextfile('c:\temp\'&file, a) 72,352,1 48,13 2,44,303,476,224 65535,45873,39321 a,file 2,F,4,14,0,0,4,0,$,0,"ABBREV",0 Concatenation UDFs This library contains functions to make various instances of concatenation more convenient. Concat3 thru Concat10 are generalizations of the built-in Concat function which concatenate from 3 to 10 arrays in a single call (while the built-in Concat concatenates two arrays). ConcatRows concatenates all the rows of a single array. David Kendall & Lonnie Chrisman Mon, Jan 26, 2004 8:49 AM Lonnie Wed, Sep 05, 2007 3:23 PM 48,24 488,40,1 68,20 1,0,0,1,1,1,0,0,0,0 1,50,200,488,454,23 (A1, A2, A3: ArrayType; I1, I2, I3, J: IndexType ) Concat3 Concatenates three arrays, A1, A2, and A3. I1, I2, and I3 are the indexes that are joined; J is the index of the new array; J usually is the concatenation of I1, I2, and I3 Index I12 := Concat(I1,I2); Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, J ) 88,64,1 48,26 2,56,56,986,596 A1,A2,A3,I1,I2,I3,J (A1, A2, A3, A4: ArrayType; I1, I2, I3, I4, J: IndexType ) Concat4 Concatenates four arrays, A1, A2, A3, and A4. I1, I2, I3, and I4 are the indexes that are joined; J is the index of the new array; J usually is the concatenation of I1, I2, I3, and I4. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, J); 192,64,1 48,24 2,30,30,986,596 A1,A2,A3,A4,I1,I2,I3,I4,J 0 (A1, A2, A3, A4, A5, A6, A7, A8, A9: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, I9, J: IndexType) Concat9 Concatenates nine arrays, A1, ..., A9. I1, ..., I9 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I9. Index I12 := Concat(I1,I2); Index I123 := Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Index I1234567 := Concat(I123456, I7); Index I12345678 := Concat(I1234567, I8); Concat( Concat( Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, I1234567), A8, I1234567, I8, I12345678), A9, I12345678, I9, J); 88,232,1 48,24 2,27,120,469,638 A1,A2,A3,A4,A5,A6,A7,A8,A9,I1,I2,I3,I4,I5,I6,I7,I8,I9,J 0 (A1, A2, A3, A4, A5: ArrayType; I1, I2, I3, I4, I5, J: IndexType ) Concat5 Concatenates five arrays, A1, ..., A5. I1, ..., I5 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I5. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, J); 88,120,1 48,24 2,160,160,986,596 A1,A2,A3,A4,A5,I1,I2,I3,I4,I5,J (A1, A2, A3, A4, A5, A6: ArrayType; I1, I2, I3, I4, I5, I6, J: IndexType ) Concat6 Concatenates six arrays, A1, ..., A6. I1, ..., I6 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I6. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, J); 192,120,1 48,24 2,644,94,602,712 A1,A2,A3,A4,A5,A6,I1,I2,I3,I4,I5,I6,J 0 (A1, A2, A3, A4, A5, A6, A7: ArrayType; I1, I2, I3, I4, I5, I6, I7, J: IndexType ) Concat7 Concatenates seven arrays, A1, ..., A7. I1, ..., I7 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I7. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, J); 88,176,1 48,24 2,580,98,551,565 A1,A2,A3,A4,A5,A6,A7,I1,I2,I3,I4,I5,I6,I7,J (A1, A2, A3, A4, A5, A6, A7, A8: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, J: IndexType ) Concat8 Concatenates eight arrays, A1, ..., A8. I1, ..., I8 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I8. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Index I1234567 := Concat(I123456, I7); Concat( Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, I1234567), A8, I1234567, I8, J); 192,176,1 48,24 2,12,98,561,737 A1,A2,A3,A4,A5,A6,A7,A8,I1,I2,I3,I4,I5,I6,I7,I8,J 0 (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, I9, I10, J: IndexType) Concat10 Concatenates ten arrays, A1, ..., A10. I1, ..., I10 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I10. Index I12 := Concat(I1,I2); Index I123 := Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Index I1234567 := Concat(I123456, I7); Index I12345678 := Concat(I1234567, I8); Index I123456789 := Concat(I12345678, I9); Concat( Concat( Concat( Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, I1234567), A8, I1234567, I8, I12345678), A9, I12345678, I9, I123456789), A10, I123456789, I10, J); 192,232,1 48,24 2,542,93,632,744 A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,I1,I2,I3,I4,I5,I6,I7,I8,I9,I10,J 0 (A : ArrayType ; RowIndex,ColIndex,ResultIndex : IndexType) ConcatRows (A,I,J,K) Takes an array, A indexed by RowIndex & ColIndex, and concatenates each row, henceforth flattening the array by one dimension. The result is indexed by ResultIndex, which must be an index with size(RowIndex) * size(ColIndex) elements. index L := [ identifier of RowIndex, identifier of ColIndex, "val"]; slice(Mdarraytotable(A,ResultIndex,L),L,3) 320,64,1 64,24 2,499,85,478,348 A,RowIndex,ColIndex,ResultIndex ODBC Library Lonnie Thu, Sep 11, 1997 2:15 PM Lonnie Tue, Feb 05, 2008 10:03 AM 48,24 496,96,1 52,20 1,1,1,1,1,1,0,0,0,0 1,20,272,499,462,17 Arial, 13 (A:ArrayType;I:IndexType;L:IndexType;row:IndexType;dbTableName) InsertRecSql Generates the SQL "INSERT INTO" statement for one line of table A. A is a 2-D table indexed by rows I and columns L. L's domain serves as the column names in the database table. dbTableName is the name of the table in the database. The result begins with two semi-colons, since it will be used with an SQL statement preceeding it. 29.8.2008 Jouni Tuomisto I added the parameter IGNORE because it ignores rows that would cause duplicate-key violations. This way, there is no need to check for e.g. existing locations of new indices. 6.1.2009 Jouni Tuomisto I changed the A[I=row] to A[@I=@row] because the original function does not work correctly, if there are non-unique rows in the index. (';;INSERT IGNORE INTO ' & dbTableName & '(' & JoinText(L,L,',') & ') VALUES (' & Vallist(A[@I=@row],L)) & ') ' 184,32,1 52,24 2,591,203,487,469 A,I,L,row,dbTableName (V:ArrayType;I:IndexType) ValList Takes a list of values, and returns a string which the concatenation of each value, separated by commas, and with each value quoted. JoinText( '''' & V & '''', I, ',') 72,32,0 52,24 2,642,360,476,224 V,I 1,F,4,14,0,0 (Tabl:ArrayType;RowIndex:IndexType;LabelIndex:IndexType;dbTableName) WriteTableSql(Table,Rows,Labels,dbTableName) Returns the SQL that will write the table to the database table. This can be used as the second argument to DBWrite. This SQL statement replaces the entire contents of an existing table with the new data. 'DELETE FROM '& Dbtablename & JoinText(Insertrecsql(Tabl, Rowindex, Labelindex, Rowindex, Dbtablename),RowIndex) 328,32,1 88,24 2,728,341,510,476 Tabl,RowIndex,LabelIndex,dbTableName (Tabl:ArrayType;RowIndex:IndexType;LabelIndex:IndexType;dbTableName) AppendTableSql(Table,Rows,Labels,dbTableName) Returns the SQL that will write the table to the database table. This can be used as the second argument to DBWrite. This SQL statement replaces the entire contents of an existing table with the new data. JoinText(Insertrecsql(Tabl, Rowindex, Labelindex, Rowindex, Dbtablename),RowIndex) 328,88,1 88,24 2,559,127,510,476 Tabl,RowIndex,LabelIndex,dbTableName Tables List of such tables in Opasnet Base that are being written to by this module. ['act','actobj','cell','obj','loc','loccell','obj','res'] 296,216,1 48,12 2,396,363,377,227,0,MIDM Cardinals The largest id values for the selected Opasnet Base tables. for x[]:= table1 do ( var a:= query('SELECT MAX(id) AS id FROM '&x&' '); max(max(a,a.i),a.j)) 296,192,1 48,12 2,634,394,476,332 2,193,270,416,303,0,MIDM 2,70,351,229,303,0,MIDM 39325,65535,39321 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 (in, table; cond:texttype) Findid index L:= in[.i=unique(in, in.i)]; var a:= if (L&' ') = (table[.j=cond]&' ') then table[.j='id'] else 0; a:= textify(sum(a, table.i)); a[.L=in] 72,280,1 48,12 2,636,101,494,519 in,table,cond (var, table) Write if size(var)>0 then dbwrite((if platform = 'Lumina AWP' then 'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97' else 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102')&';Database=opasnet_base;User=result_writer; Password='&writerpsswd&';Option=3' , appendtablesql(var,var.i, var.j, table&' ')) 72,304,1 48,12 2,751,65,501,457 65535,45873,39321 var,table Opasnet username The username for Opasnet wiki 'Add your Opasnet username' 72,176,1 48,22 1,1,1,1,1,1,0,0,0,0 2,102,90,476,398 [Formnode Username1] 52425,39321,65535 Opasnet password The user's password for Opasnet wiki. 'Add password' 72,232,1 48,22 1,1,1,1,1,1,0,0,0,0 2,102,90,476,520 [Formnode Password1] 52425,39321,65535 ODBC var a:= if platform='Lumina AWP' then 'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97' else 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102'; a&';Database=opasnet_base;User=result_reader; Password=ora4ever;Option=3' 184,136,1 48,12 1,1,0,1,1,1,0,,0, 2,180,61,508,420 2,56,66,918,303,0,MIDM Loc Lap; query(' SELECT loc.*, ind.* FROM loc, obj as ind WHERE loc.obj_id_i = ind.id ') 296,160,1 48,13 1,1,0,1,1,1,0,0,0,0 2,370,45,476,445 2,43,42,1147,516,0,MIDM 39325,65535,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 Obj Lap; query('SELECT * FROM obj ') 296,136,1 48,13 1,1,0,1,1,1,0,0,0,0 2,378,21,493,501 2,218,87,977,421,0,MIDM 39325,65535,39321 [Sys_localindex('J'),Sys_localindex('I')] [Self,1,Sys_localindex('I'),1,Sys_localindex('J'),1] (var, table) Write1 if size(var)>0 then appendtablesql(var,var.i, var.j, table&' ') 72,328,1 48,13 2,284,58,476,224 var,table 'Add a password for the Base' 184,200,0 52,12 1,1,1,1,1,1,0,0,0,0 2,163,375,476,224 [Formnode Writerpsswd1] 52425,39321,65535 Platform Choice(Self,2,False,1) 72,136,1 48,12 [Formnode Platform1] 52425,39321,65535 ['Lumina AWP','THL computer'] Object info subtable(Object_info[Info=Info1_3_4, @n_vars=1]) 184,248,1 48,20 2,102,90,476,373 2,174,220,402,256,0,MIDM 2,599,363,416,303,0,MIDM [Formnode Object_info7, Formnode Object_info1, Formnode Object_info3] 52425,39321,65535 [N_vars,Info1_3_4] [Self] ['','',''] Info ['ident','name','unit','# explanation cols','observation name','probabilistic?'] 184,280,1 48,13 1,1,1,1,1,1,0,0,0,0 Do next This is a temporary node that is ovewritten when Upload_data and Upload_results are being run. '' 296,352,1 48,16 Replace data? Choice(Self,1,False) 296,256,1 48,22 2,102,90,476,384 [Formnode Replace_data_1] 52425,39321,65535 ['Yes, replace previous data (if any)','No, there is previous data and I want to append'] Enter anacode "index vehicle_type:= ['Bus','Minibus','Car d','Car g']; var Car_maintenance:= Triangular( 0.03, 0.058, 0.086 ); var Fuel_price:= (var a:= 0.95*triangular(0.8,1,1.2); var b:= 1.22*triangular(0.8,1,1.2); array(Vehicle_type,[a,a,a,b])); var Fuel_consumption:= (var a:= (8.7/100)*Triangular(0.75,1,1.25); var b:= (5.7/100)*Triangular(0.75,1,1.25); var c:= (8/100)*Triangular(0.5,1,1.5); a:= array(Vehicle_type,[a,a,b,c]); ); fuel_price*fuel_consumption+car_maintenance" 496,280,1 48,24 [Formnode Enter_anacode1] 52425,39321,65535 Enter anacode 0 736,432,1 160,56 1,0,0,1,0,0,0,182,0,1 52425,39321,65535 Enter_anacode Example code index vehicle_type:= ['Bus','Minibus','Car d','Car g']; var Car_maintenance:= Triangular( 0.03, 0.058, 0.086 ); var Fuel_price:= (var a:= 0.95*triangular(0.8,1,1.2); var b:= 1.22*triangular(0.8,1,1.2); array(Vehicle_type,[a,a,a,b])); var Fuel_consumption:= (var a:= (8.7/100)*Triangular(0.75,1,1.25); var b:= (5.7/100)*Triangular(0.75,1,1.25); var c:= (8/100)*Triangular(0.5,1,1.5); a:= array(Vehicle_type,[a,a,b,c]); ); fuel_price*fuel_consumption+car_maintenance 496,216,1 48,24 Code node evaluate(Enter_anacode) 496,336,1 48,16 2,104,114,416,303,0,SAMP [Undefined,Sys_localindex('VEHICLE_TYPE'),Undefined,Undefined,Undefined,1] [1,0,0,0] (a) Removecol var b:= jointext(a.j,a.j,','); b:= Textreplace(b, 'obs,',''); index j:= splittext(Textreplace(b, ',result',''),','); a:= a[.j=j]; 72,472,1 48,12 2,450,539,476,246 a Provide data in the format you selected. 264,172,-1 256,12 1,0,0,1,0,1,0,,0, 65535,65532,19661