From c672826648d5f3feecb9fd2e7599a699aff890e8 Mon Sep 17 00:00:00 2001 From: Theophile du Laz Date: Mon, 16 Oct 2023 17:20:57 -0700 Subject: [PATCH] New ZTF alert schema - Forced photometry (#258) * handle the new ZTF alert schema, to remove forced photometry from the alert's table * instead, ingest the 30 days window of forced photometry but only for the very first alert of a given object (when the entry for that object is created in the aux table) --- .../20231012/2475433850015010009.avro | 188 ++++++++++++++++++ .../20231012/2475433850015015000.avro | 65 ++++++ .../20231012/2475433850015015001.avro | 167 ++++++++++++++++ .../20231012/2475433850015015010.avro | 149 ++++++++++++++ .../20231012/2475433850015015022.avro | 169 ++++++++++++++++ .../20231012/2475433850015015041.avro | 150 ++++++++++++++ .../20231012/2475433850215010007.avro | 133 +++++++++++++ .../20231012/2475433850215010008.avro | 182 +++++++++++++++++ .../20231012/2475433850215015019.avro | 127 ++++++++++++ .../20231012/2475433850215015020.avro | 158 +++++++++++++++ .../20231012/2475433850315015003.avro | 179 +++++++++++++++++ .../20231012/2475433850315015004.avro | 152 ++++++++++++++ .../20231012/2475433850315015008.avro | 167 ++++++++++++++++ .../20231012/2475433850315015009.avro | 162 +++++++++++++++ .../20231012/2475433850315015010.avro | 168 ++++++++++++++++ .../20231012/2475433850315015012.avro | 146 ++++++++++++++ .../20231012/2475433850315015013.avro | 165 +++++++++++++++ .../20231012/2475433850415015002.avro | 111 +++++++++++ .../20231012/2475433850415015004.avro | 165 +++++++++++++++ .../20231012/2475433850415015005.avro | 136 +++++++++++++ .../20231012/2475433850415015006.avro | 152 ++++++++++++++ .../20231012/2475433850415015007.avro | 125 ++++++++++++ .../20231012/2475433850415015012.avro | 158 +++++++++++++++ .../20231012/2475433850415015017.avro | 112 +++++++++++ kowalski/alert_brokers/alert_broker.py | 16 +- kowalski/alert_brokers/alert_broker_pgir.py | 2 +- kowalski/alert_brokers/alert_broker_turbo.py | 2 +- kowalski/alert_brokers/alert_broker_winter.py | 2 +- kowalski/alert_brokers/alert_broker_ztf.py | 60 +++++- kowalski/tests/test_alert_broker_pgir.py | 8 +- kowalski/tests/test_alert_broker_turbo.py | 6 +- kowalski/tests/test_alert_broker_wntr.py | 6 +- kowalski/tests/test_alert_broker_ztf.py | 84 +++++++- kowalski/tests/test_ingester_ztf.py | 37 ++++ 34 files changed, 3781 insertions(+), 28 deletions(-) create mode 100755 data/ztf_alerts/20231012/2475433850015010009.avro create mode 100755 data/ztf_alerts/20231012/2475433850015015000.avro create mode 100755 data/ztf_alerts/20231012/2475433850015015001.avro create mode 100755 data/ztf_alerts/20231012/2475433850015015010.avro create mode 100755 data/ztf_alerts/20231012/2475433850015015022.avro create mode 100755 data/ztf_alerts/20231012/2475433850015015041.avro create mode 100755 data/ztf_alerts/20231012/2475433850215010007.avro create mode 100755 data/ztf_alerts/20231012/2475433850215010008.avro create mode 100755 data/ztf_alerts/20231012/2475433850215015019.avro create mode 100755 data/ztf_alerts/20231012/2475433850215015020.avro create mode 100755 data/ztf_alerts/20231012/2475433850315015003.avro create mode 100755 data/ztf_alerts/20231012/2475433850315015004.avro create mode 100755 data/ztf_alerts/20231012/2475433850315015008.avro create mode 100755 data/ztf_alerts/20231012/2475433850315015009.avro create mode 100755 data/ztf_alerts/20231012/2475433850315015010.avro create mode 100755 data/ztf_alerts/20231012/2475433850315015012.avro create mode 100755 data/ztf_alerts/20231012/2475433850315015013.avro create mode 100755 data/ztf_alerts/20231012/2475433850415015002.avro create mode 100755 data/ztf_alerts/20231012/2475433850415015004.avro create mode 100755 data/ztf_alerts/20231012/2475433850415015005.avro create mode 100755 data/ztf_alerts/20231012/2475433850415015006.avro create mode 100755 data/ztf_alerts/20231012/2475433850415015007.avro create mode 100755 data/ztf_alerts/20231012/2475433850415015012.avro create mode 100755 data/ztf_alerts/20231012/2475433850415015017.avro diff --git a/data/ztf_alerts/20231012/2475433850015010009.avro b/data/ztf_alerts/20231012/2475433850015010009.avro new file mode 100755 index 00000000..6507b3be --- /dev/null +++ b/data/ztf_alerts/20231012/2475433850015010009.avro @@ -0,0 +1,188 @@ +Objavro.codecnullavro.schemaڏ{"doc":"avro alert schema for ZTF (www.ztf.caltech.edu)","fields":[{"doc":"schema version used","name":"schemavsn","type":"string"},{"doc":"origin of alert packet","name":"publisher","type":"string"},{"doc":"object identifier or name","name":"objectId","type":"string"},{"name":"candid","type":"long"},{"name":"candidate","type":{"doc":"avro alert schema","fields":[{"doc":"Observation Julian date at start of exposure [days]","name":"jd","type":"double"},{"doc":"Filter ID (1=g; 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LAz +Yn 4c:񅩇\ǐXtMiIBi‡ g» +1#I$bt0޶ OK:(m.d5ͫ'CL_&wMANI Fxw bB4=h1i=DMVX'K]i}ZaYe\6؅'I殕Da n6=T1[$5b@zwv.GrqQתJr=Og^Kģe"L~=}{5̸rw[tq}zq`bL%Z֋&IR?i,d0h&~17`T58Ħ+vʩ܂$'ROŠ$ch<Kʠl{;YV&n Ej9킽5?fiBpAynlT' şqIrt_,Vւ׆n&ZW~o:(sskjٺ wq2dURtoش1A:!k"pJIghXnג~V7.7 C?gmNicfk;絪K=&|dp`ǐ= .9@")5j;G^av|MOpI#?77`īN>xz~ [#I_8ijNQOo +gV3_Է& ZXk+a4)ab|lDsҼBiGP6[MjK)3<Oow~YXBhi3YBDu7oelV&-qˤ1 yEZLzr`Kv@0jGP'|· {Hx75$&\޾@zS3;.4s> ij4@C+ȵ6`Th4(qӒH";"-͋|ʓעP|HdJH>q|PyKl9[14Hu%7 +!pF;Q_aؐCXRE <ݴ'o5XKyk$5sA~S u^_ʬnk|Jmo#Ҕu%:DP2rʉ.Ld~qڴ_S+j1W,R ׸V}Pnz":=ʷ̢:Ӓ#ͬjGO6 w|tlj}u ~!^ܥ'm1ŷՠj4 ؑS>f Z"$rn*~Q΍X24+8DW]F͆hYlC<*qX + e@/³#c7z%񢇋"衂ǰݾN&90{Kߔ ݑ%PB#.ԬfO(w'h09t vZ74403\FCP)) +RHk,W>u?,ΧYigf(ޏ鏸]BU&<TDdCq]+I2%~5#idJUW脫|CvU\;@U#Q +x~}<4H',/KFm̡ʡ'ۀ݅rt[UWMND? +L0lj5*SMhV9E6Sr4,>Ig ׺սT| |`O}nP׏3мn3} k_g{6DAt 2+~G vsEcX|% k}[]Gc PxyO]z>9^TY{Ksnz^As뵊Ϯ:9,ssoD1ȷAJ4Yqm;(u?X+N;aMلsa{3 V6 ,?䆅ۙ'EܪVl`TigRAŷ^a2E~{bV;a.I.!;PhnʞkHhH s |\ /hO\$#WRvwvnsS$|D[/,K9mXzmv2s՟]' )fVM.~}E:a9*N +iAg36{LHzQm[DyNsfch{z^CRhFN.~%ЃcX6=Ċ,02 +CxuiV-+{#+dt/_>B}jCciȣʺCOi6(=׎*[= +Xb_K5R1O1?-Ef_nC k,ˏ&oخܜ@:>p0v'4᭄|Ȓ6EvnsƱoQn¿HQhU+ӢDa&rpg~J)8t;8ST2>{}-L,u /L?|T.͊!.cB.>e> sK wt SՏ AeR뤵W؊y F^!q~Mߌ5 p,c3lpF\ooF#WVJ*;h&-ｧ6ZO,_CZ4 -J1'/bǐ/ $#WT͍ķi]+wηXu/ꊴˈ0gh4Je]{N]!ʈ7%zwΈ<[{ gxvz#\x65e4Bbc4~BX8"lmh8't^֩9ۘI~Y;7`րoΐ̸N2q@x984wF<9--Jh uBs~A,"awhD#R/jS!n)",sՂ_Ľ[Ixf%%vH2I|f$\3NGNo)>p +[[J^C5y/ۤf֛Z`a@{.~5.Pne6I)d2i+yݠt0N~\"wRNgogenavromagic10 \ No newline at end of file diff --git a/data/ztf_alerts/20231012/2475433850015015001.avro b/data/ztf_alerts/20231012/2475433850015015001.avro new file mode 100755 index 00000000..461b0698 --- /dev/null +++ b/data/ztf_alerts/20231012/2475433850015015001.avro @@ -0,0 +1,167 @@ +Objavro.schemaڏ{"doc":"avro alert schema for ZTF (www.ztf.caltech.edu)","fields":[{"doc":"schema version used","name":"schemavsn","type":"string"},{"doc":"origin of alert packet","name":"publisher","type":"string"},{"doc":"object identifier or name","name":"objectId","type":"string"},{"name":"candid","type":"long"},{"name":"candidate","type":{"doc":"avro alert schema","fields":[{"doc":"Observation Julian date at start of exposure [days]","name":"jd","type":"double"},{"doc":"Filter ID (1=g; 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YaN+Nn+qe o:'Y(=mW,x1LO7=LY=xG. 4WNgogenavromagic10 \ No newline at end of file diff --git a/data/ztf_alerts/20231012/2475433850015015041.avro b/data/ztf_alerts/20231012/2475433850015015041.avro new file mode 100755 index 00000000..2c3de618 --- /dev/null +++ b/data/ztf_alerts/20231012/2475433850015015041.avro @@ -0,0 +1,150 @@ +Objavro.schemaڏ{"doc":"avro alert schema for ZTF (www.ztf.caltech.edu)","fields":[{"doc":"schema version used","name":"schemavsn","type":"string"},{"doc":"origin of alert packet","name":"publisher","type":"string"},{"doc":"object identifier or name","name":"objectId","type":"string"},{"name":"candid","type":"long"},{"name":"candidate","type":{"doc":"avro alert schema","fields":[{"doc":"Observation Julian date at start of exposure [days]","name":"jd","type":"double"},{"doc":"Filter ID (1=g; 2=R; 3=i)","name":"fid","type":"int"},{"doc":"Processing ID for science image to facilitate archive retrieval","name":"pid","type":"long"},{"default":null,"doc":"Expected 5-sigma mag limit in difference image based on global noise estimate [mag]","name":"diffmaglim","type":["null","float"]},{"default":null,"doc":"filename of positive (sci minus ref) difference image","name":"pdiffimfilename","type":["null","string"]},{"default":null,"doc":"Principal investigator attached to program ID","name":"programpi","type":["null","string"]},{"doc":"Program ID: encodes either public, collab, or caltech mode","name":"programid","type":"int"},{"doc":"Candidate ID from operations DB","name":"candid","type":"long"},{"doc":"t or 1 =\u003e candidate is from positive (sci minus ref) subtraction; 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J[(D~ŠX;x<6#1.yeWac*Ȩyv-7WFF8Ao$èꬬ}TJgŎDT3> 0dR6rl;P_]yhE^y|qon+{kplfz+Xsj47q~UCǮVCM)-Ln,Gܶ+[GmYü`]V EW(xk5˧T0¥S9*a}L#'ɿT̥]Z&N% 1\ m {iw*!0sѮC%R0p %i.3Ngogenavromagic10 \ No newline at end of file diff --git a/data/ztf_alerts/20231012/2475433850215010007.avro b/data/ztf_alerts/20231012/2475433850215010007.avro new file mode 100755 index 00000000..a4e08028 --- /dev/null +++ b/data/ztf_alerts/20231012/2475433850215010007.avro @@ -0,0 +1,133 @@ +Objavro.schemaڏ{"doc":"avro alert schema for ZTF (www.ztf.caltech.edu)","fields":[{"doc":"schema version used","name":"schemavsn","type":"string"},{"doc":"origin of alert packet","name":"publisher","type":"string"},{"doc":"object identifier or name","name":"objectId","type":"string"},{"name":"candid","type":"long"},{"name":"candidate","type":{"doc":"avro alert schema","fields":[{"doc":"Observation Julian date at start of exposure [days]","name":"jd","type":"double"},{"doc":"Filter ID (1=g; 2=R; 3=i)","name":"fid","type":"int"},{"doc":"Processing ID for science image to facilitate archive retrieval","name":"pid","type":"long"},{"default":null,"doc":"Expected 5-sigma mag limit in difference image based on global noise estimate [mag]","name":"diffmaglim","type":["null","float"]},{"default":null,"doc":"filename of positive (sci minus ref) difference image","name":"pdiffimfilename","type":["null","string"]},{"default":null,"doc":"Principal investigator attached to program ID","name":"programpi","type":["null","string"]},{"doc":"Program ID: encodes either public, collab, or caltech mode","name":"programid","type":"int"},{"doc":"Candidate ID from operations DB","name":"candid","type":"long"},{"doc":"t or 1 =\u003e candidate is from positive (sci minus ref) subtraction; 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ULFޒе*rJqyd9pՔ|ڸz&P9O/4|tO'<ӇNg-ʡ WK+`$)fM^\*7H +&!KA3 9X͋0`wiƻנF}WB/`çigZځ6BQ4B}~<1 +m%UVY4De`$@Q ѻLr볈,R vs/&_CYv%KC='+.Dݦ:u r2w8gXZx ''qLH= +sI7prueV|ZW.VǑ"𛑌WڕɍۊQT,{*n`zU rq 9UY O6ΡZmhf)nN?8w'}\+vIC+3@Ia7C n["9xA wq{r!N5P|A‘TzV2!c|K= k}ދWjb Ng+/LH¨~Zk^D9Ԑ|БGq[FDe] e$ h%B Ijqg' vϧNn0 s |߄r&{P)4'j6C(<,+X Pt'ә_y5MfoA˟Mf4wfM2܋/* +掹Buy@ Xi/Iyh`;πf߸[#Dq6uVaY0EsA[LL9hQs6yyTc5|Ltms]5dG[ +{ݖ  c*]DgOQiv'e+=K@iWrxrR3fbWdQWD$h˰#Ȣ1MЬ D*?@X`OܙQf13ma)7v7.%7n#Gwg;_z \Y"Xj_$,UUE!Zdl{qp Ձ4gFC"3egpRxv4{W2ƒj?DYF7,%u|g8KKf.`w1m.@rKJ'H <;ANgogenavromagic10 \ No newline at end of file diff --git a/data/ztf_alerts/20231012/2475433850215015019.avro b/data/ztf_alerts/20231012/2475433850215015019.avro new file mode 100755 index 00000000..c07bc292 --- /dev/null +++ b/data/ztf_alerts/20231012/2475433850215015019.avro @@ -0,0 +1,127 @@ +Objavro.schemaڏ{"doc":"avro alert schema for ZTF (www.ztf.caltech.edu)","fields":[{"doc":"schema version used","name":"schemavsn","type":"string"},{"doc":"origin of alert packet","name":"publisher","type":"string"},{"doc":"object identifier or name","name":"objectId","type":"string"},{"name":"candid","type":"long"},{"name":"candidate","type":{"doc":"avro alert schema","fields":[{"doc":"Observation Julian date at start of exposure [days]","name":"jd","type":"double"},{"doc":"Filter ID (1=g; 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PD0mjZ4_ I7@ҙX O؁/oNcyA{m`1%i330nԔ;9} (Ha,êxۿ;o͎|n8l.h뀮|`G?,@=O0.?yшRNB$ 'i~jK.Y)yе 2^NW\}gA+PUnia8eAVj<U/x9r +iՌVti+a\A<Ŝ0, wҼ+%KVv] ͡c>趥  DB_?t p\4;&U^}Tlrqv߀I'$?#vk qyywf gٺLe< 4%\>|uw欁Kcf1p3|eH +%H}@۷2;Lu3י4wˬZPq'h(Jy4FN^A&e +Yp)UĹ!9ne?.;Ϩ w /REO I/E E_᤻}mH8`xL?|з0) g,#f@Mޭ+ ;S0QZO*Ӭ}+kAE@gVN>ƠUs\s*'G=!pZ!;0t.fg]@̔$'q:Ynn?saE|٬s%,8 e²PwQ&iFmS9 [ڮs8|=D# }@:"q4-]Bnmn<;X?Ngogenavromagic10 \ No newline at end of file diff --git a/data/ztf_alerts/20231012/2475433850315015010.avro b/data/ztf_alerts/20231012/2475433850315015010.avro new file mode 100755 index 00000000..7f08b494 --- /dev/null +++ b/data/ztf_alerts/20231012/2475433850315015010.avro @@ -0,0 +1,168 @@ +Objavro.schemaڏ{"doc":"avro alert schema for ZTF (www.ztf.caltech.edu)","fields":[{"doc":"schema version used","name":"schemavsn","type":"string"},{"doc":"origin of alert packet","name":"publisher","type":"string"},{"doc":"object identifier or name","name":"objectId","type":"string"},{"name":"candid","type":"long"},{"name":"candidate","type":{"doc":"avro alert schema","fields":[{"doc":"Observation Julian date at start of exposure [days]","name":"jd","type":"double"},{"doc":"Filter ID (1=g; 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Ngogenavromagic10 \ No newline at end of file diff --git a/data/ztf_alerts/20231012/2475433850415015002.avro b/data/ztf_alerts/20231012/2475433850415015002.avro new file mode 100755 index 00000000..22f2560d --- /dev/null +++ b/data/ztf_alerts/20231012/2475433850415015002.avro @@ -0,0 +1,111 @@ +Objavro.codecnullavro.schemaڏ{"doc":"avro alert schema for ZTF (www.ztf.caltech.edu)","fields":[{"doc":"schema version used","name":"schemavsn","type":"string"},{"doc":"origin of alert packet","name":"publisher","type":"string"},{"doc":"object identifier or name","name":"objectId","type":"string"},{"name":"candid","type":"long"},{"name":"candidate","type":{"doc":"avro alert schema","fields":[{"doc":"Observation Julian date at start of exposure [days]","name":"jd","type":"double"},{"doc":"Filter ID (1=g; 2=R; 3=i)","name":"fid","type":"int"},{"doc":"Processing ID for science image to facilitate archive retrieval","name":"pid","type":"long"},{"default":null,"doc":"Expected 5-sigma mag limit in difference image based on global noise estimate [mag]","name":"diffmaglim","type":["null","float"]},{"default":null,"doc":"filename of positive (sci minus ref) difference image","name":"pdiffimfilename","type":["null","string"]},{"default":null,"doc":"Principal investigator attached to program ID","name":"programpi","type":["null","string"]},{"doc":"Program ID: encodes either public, collab, or caltech mode","name":"programid","type":"int"},{"doc":"Candidate ID from operations DB","name":"candid","type":"long"},{"doc":"t or 1 =\u003e candidate is from positive (sci minus ref) subtraction; 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_r,_[Y){՝*Tlgf 3vs}̇$4Kszu ܼt{!tym1XƐu<.k \etlt <ӗ߁kGV\} !+Ϸs>nSE+_Is?+rLµ2㇥Psh 1Pn'frRSQ-Ax0?Xrܕb*ɝI~F>:ST%rcFs7wMj\Jv ʨFΆ30!җl1=Gb 7p%1&v1 %+<_9'"ڞff)A@"HGr]E5ag}( ORT9l7C4[6r|?0nMɍ{pD+ȁ}ۈ').V4^d0S>B$[-%Hc11ǕI +(No,?B^\|\e%3&q Hʗ#qk Ʃt}bBpw#ԼAyAES%bvCro3Ȉ] So0_0"_°%ܷ^U1ed#x`;l< Ph;7sl?GCĪy$RD[ C0zYF.%-(Sn1>D>S7iң|_)j/PiEr8+Px=ö] Lv*F^w߲8V治7+$ЋQn@9'S'QrL";է\16x*"L0_C]$.?.)8#}!7V`uyqqUmH`&W#~֌cO4 +,:'CMZQֻ8H z^E5ܼ} e}:W0275;YhT&6:;UbNWRUvyxF|r2 P{/'MZ;sj7bac"[Ѡ%n ӼWV +0|FQ\t㮛'X Du]E).Ah~gi0LYg LzD Cs{S3q֗`歒$j/cDfMk"3"6sdoDZ?yέKB9%D9WP nv_&.ܭ<6Fg?W@v+^chs:c7rU|#^wxܒQ#.mF2ܡjk 晳I&/#.%Q} ìp:A> 1|dLhO1:~Vc.ug~3Ejʈ 30>\n TG%(>ͻ`H%y@5W ?,jyVJ7Z.0h;A1=1Kas?`L#RUPo.E.tEb4X4Ww]ԌgC0jƢ`(< b:_ aFAs!NY* _,wI~'\VBM@9Yz_#K!l5E;I`9#t ,NM$am0uI1)BiD~VFLYGӚIVĊ2N;h?>~\!`gq]QϩG~ YpIu/Ř2>iUK[$ʇXa*5AǢ^V> +ҊIC;'p&*wwj#d*|.lIrT{0pIZ.RtóOv]_OLb>/ +Whƕh{hY B*MQ=[ ?G=~H́)zLjW=L)CumGV9gn =UłvpñQ9EN7{A/[_./}sHQ1˷2 zӉT~[~ux `[M)[O_yrBcѾTpcXUe%4Q_ jvE/ 0d|RVm p~];bNjPKTO.EL ]s93-{bѮ`UH ㏸3trq<_+NmL1SvlY?* Ʃ5_>gԊ3n޽ r)XdonA%wZKn]u+6- W^-R}z!x9/5YQ~]I؂*8XB*Yq0˧T +2uXnaE*qK}pFv +~&N:/{*Ngogenavromagic10 \ No newline at end of file diff --git a/data/ztf_alerts/20231012/2475433850415015012.avro b/data/ztf_alerts/20231012/2475433850415015012.avro new file mode 100755 index 00000000..f5235e28 --- /dev/null +++ b/data/ztf_alerts/20231012/2475433850415015012.avro @@ -0,0 +1,158 @@ +Objavro.schemaڏ{"doc":"avro alert schema for ZTF (www.ztf.caltech.edu)","fields":[{"doc":"schema version used","name":"schemavsn","type":"string"},{"doc":"origin of alert packet","name":"publisher","type":"string"},{"doc":"object identifier or name","name":"objectId","type":"string"},{"name":"candid","type":"long"},{"name":"candidate","type":{"doc":"avro alert schema","fields":[{"doc":"Observation Julian date at start of exposure [days]","name":"jd","type":"double"},{"doc":"Filter ID (1=g; 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Uv'aͼy5<30'韚‹v +} R yƓ*&!Yi+H=3Ymh*6no"MuuG%%\?jw&|jnx kx~M=@~p+%[T݀ɇ:I I7'NZfTشNxU7֧y0w`J&`3؁Pbr: j-)O:ÜT9+{rd")@h[&p^fO.h{YDs)1̖gkx f]fZk;LR?9 弎K>uҜ,> +2+}Ǡg~e`xwsy\޹js\ZMr =IVl^2^&0amFv+. _|#'(/QSxHK,W^$ &+ꃔa =)|9ˉ`~\-sFVs% etnrA;,:e[vTr=2`;>?ӫ Ecj'K[-߻@(~4{5:aGgeAcz33Bȳ0Jͧ?f^R5 KQc 2txĞs|~n Db6$8>XhN\d, ;upudSa %a_0Ɨ;=X~6NΟP\64!m<~-jI8dWCgt5ds_mxX'qX+?ΡṠ%rG /]0TUɤp6b0JCHg+>ht#>Y^=PneÝb[z*={_b{ }NGFx9syf"_f-}lpNf0s;qep)ރ.Tڇ Ecԏ?G0@9ܢ[ز#Aj18*U*0STEqcJ©VOF,XxKg%(XA)Q9N$ J{1y*Msj/'E/yS|XgA6^]9 Dxp[ +狑nB1Q@Ƈڐz;>82}9l◂ϲ Z<7yĻsij}e9+mak=fcݩ JaN۹ ;M?g-'y +JRuYڻ}m9{Xx60;gdl]J8lIoTf]ؐc51|8+ϐS6o;T]5I6Ƭ:?Bm A贡π1ܲ(}KhBgq8Vf_+kr/sy '.̹+}j6=jj +@~/ũp: RKfz5qcsZA_?L>Yr,>{!:Z3` +0'Me?s;kPzMRz1޾*$7琭 @q'*_Yv W 1 `/8\!O>-j6CnDC} '{md0:/Y%?(;G8 +*"-Ds2Kglsꖱ$E16FɫD7.-+ qi 蓝5ϒsx,9G7K|!6Odx +}nkE" +z-c4gu12m3IeJp#9fúW#تڹD8Y\dW +83.Z EpBq%{(rd&!̷0I :.78PfaRTv7*D>h6 FEOi^_mh{͙$'<9 [T1&@  Q ´ 5{=60 {!q2i٧բfNaB49SO2=S^Hm#tܔ h p*1:Z'[LxN7uIXN . *RdOs+]waRφr +G ǧ:ّhvOVK kxAϩj[-S.vV9|eͷVjPk17Ũ6{=§ed;i!yT<蔶3Vlq5cfch,iDV E8k^OU<:CeXl 70M.u{_D^x*&&Ym RxBq+խ* wУ +J"kQpn;΁OKVrj+o@vB +16xy#'3i++ >-=A,XXb-?ŬNgogenavromagic10 \ No newline at end of file diff --git a/data/ztf_alerts/20231012/2475433850415015017.avro b/data/ztf_alerts/20231012/2475433850415015017.avro new file mode 100755 index 00000000..65af4418 --- /dev/null +++ b/data/ztf_alerts/20231012/2475433850415015017.avro @@ -0,0 +1,112 @@ +Objavro.schemaڏ{"doc":"avro alert schema for ZTF (www.ztf.caltech.edu)","fields":[{"doc":"schema version used","name":"schemavsn","type":"string"},{"doc":"origin of alert packet","name":"publisher","type":"string"},{"doc":"object identifier or name","name":"objectId","type":"string"},{"name":"candid","type":"long"},{"name":"candidate","type":{"doc":"avro alert schema","fields":[{"doc":"Observation Julian date at start of exposure [days]","name":"jd","type":"double"},{"doc":"Filter ID (1=g; 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'cX7S/g"OM8p_8q >[UI'QCh"Y'9 N{`T-5 Xڎ`1 0/O?f1vdNYq"F,j dn}d\vZ:b읫`pJZ_vZh?qI"<(K*$l.,Xtញ*,M^9Sɫ^-O|ݙqu)ME7F3_ :qѴ4dɉܣUoh[ ӊdp'ݝ'FOA0 \)3Gk}}D٨"&e3IzfmS Yef L)&1S{FՠhO,ɬAYؕ`F~43>5kĝQ&ww\lŨFkђ]Ұ-Ii^t CA,8rI:e ,>R3 xq o*Saq#\?<޲aB\8ߎ< xt{ΗA>j>NMFqga o6apfG¥Ɍw6II +<-roZ HaOba8a7}!m`l;1:>?*-$o }5'Jm]>0mWYn #󬘋5A>,18rܟ@N;AegzAVGUt'՘ê#]GjBx= ^D/'z=LPbp *ޢܧ)3o58޳Gj߲D0oiק;@$4'3ޕƶn 8iGiM_8:3#i}h'‚4֛ކ8/$n#e&ZͭthtnEOL"F5X!IuOUE6 r GlAVW͜xÐn;|G o)蓝0IB/8h1dO^ӠFu> S8 :$ꥳ$%MDt-u"l!=.׭fic,yxWD/7MCJ{[tଣ \aL䄳p o%#g`to,Ćjr~P {rςڻJq2e{]$Dakh4{W32u }Lu<ҡOq_%^03l2hdynx53b+f]}I[1_8^nMęryg*zt #zLk( 7@vmŢhbp7"/1N'lʔd /")hºD[TE.y+A]<t7]j:|_0\#k kS''),é%ɀ45œ/1Jek"fR7پiF9.|^fE^zT 7QcBin^Ƞ-p@>2mXF93yfl jQ5`ם{b}Ś;n3$re!3OWXlbkcO} V 1): - alert, prv_candidates = alert_worker.alert_mongify(alert) + alert, prv_candidates, _ = alert_worker.alert_mongify(alert) # create alert history all_prv_candidates = deepcopy(prv_candidates) + [deepcopy(alert["candidate"])] diff --git a/kowalski/alert_brokers/alert_broker_turbo.py b/kowalski/alert_brokers/alert_broker_turbo.py index 8d6627e5..9878529d 100644 --- a/kowalski/alert_brokers/alert_broker_turbo.py +++ b/kowalski/alert_brokers/alert_broker_turbo.py @@ -58,7 +58,7 @@ def process_alert(alert: Mapping, topic: str): # candid not in db, ingest decoded avro packet into db with timer(f"Mongification of {object_id} {candid}", alert_worker.verbose > 1): - alert, prv_candidates = alert_worker.alert_mongify(alert) + alert, prv_candidates, _ = alert_worker.alert_mongify(alert) with timer(f"Ingesting {object_id} {candid}", alert_worker.verbose > 1): alert_worker.mongo.insert_one( diff --git a/kowalski/alert_brokers/alert_broker_winter.py b/kowalski/alert_brokers/alert_broker_winter.py index 16336e24..85961ef4 100644 --- a/kowalski/alert_brokers/alert_broker_winter.py +++ b/kowalski/alert_brokers/alert_broker_winter.py @@ -80,7 +80,7 @@ def process_alert(alert: Mapping, topic: str): # candid not in db, ingest decoded avro packet into db with timer(f"Mongification of {object_id} {candid}"): - alert, prv_candidates = alert_worker.alert_mongify(alert) + alert, prv_candidates, _ = alert_worker.alert_mongify(alert) # future: add ML model filtering here diff --git a/kowalski/alert_brokers/alert_broker_ztf.py b/kowalski/alert_brokers/alert_broker_ztf.py index d355d6ad..d723f4f4 100644 --- a/kowalski/alert_brokers/alert_broker_ztf.py +++ b/kowalski/alert_brokers/alert_broker_ztf.py @@ -58,7 +58,7 @@ def process_alert(alert: Mapping, topic: str): # candid not in db, ingest decoded avro packet into db with timer(f"Mongification of {object_id} {candid}", alert_worker.verbose > 1): - alert, prv_candidates = alert_worker.alert_mongify(alert) + alert, prv_candidates, fp_hists = alert_worker.alert_mongify(alert) # create alert history all_prv_candidates = deepcopy(prv_candidates) + [deepcopy(alert["candidate"])] @@ -104,6 +104,12 @@ def process_alert(alert: Mapping, topic: str): for prv_candidate in prv_candidates ] + # fp_hists: pop nulls - save space + fp_hists = [ + {kk: vv for kk, vv in fp_hist.items() if vv not in [None, -99999, -99999.0]} + for fp_hist in fp_hists + ] + alert_aux, xmatches, passed_filters = None, None, None # cross-match with external catalogs if objectId not in collection_alerts_aux: if ( @@ -123,6 +129,7 @@ def process_alert(alert: Mapping, topic: str): "_id": object_id, "cross_matches": xmatches, "prv_candidates": prv_candidates, + "fp_hists": fp_hists, } with timer(f"Aux ingesting {object_id} {candid}", alert_worker.verbose > 1): @@ -134,6 +141,7 @@ def process_alert(alert: Mapping, topic: str): with timer( f"Aux updating of {object_id} {candid}", alert_worker.verbose > 1 ): + # update prv_candidates retry( alert_worker.mongo.db[alert_worker.collection_alerts_aux].update_one )( @@ -142,6 +150,35 @@ def process_alert(alert: Mapping, topic: str): upsert=True, ) + # FOR NOW: we decided to only store the forced photometry for the very first alert we get for an object + # so, no need to update anything here + + # update fp_hists + # existing_fp_hists = retry( + # alert_worker.mongo.db[alert_worker.collection_alerts_aux].find_one + # )({"_id": object_id}, {"fp_hists": 1}) + # if existing_fp_hists is not None: + # existing_fp_hists = existing_fp_hists.get("fp_hists", []) + # if len(existing_fp_hists) > 0: + # new_fp_hists = alert_worker.deduplicate_fp_hists( + # existing_fp_hists, fp_hists + # ) + # else: + # new_fp_hists = fp_hists + # else: + # new_fp_hists = fp_hists + # retry( + # alert_worker.mongo.db[alert_worker.collection_alerts_aux].update_one + # )( + # {"_id": object_id}, + # { + # "$set": { + # "fp_hists": new_fp_hists, + # } + # }, + # upsert=True, + # ) + if config["misc"]["broker"]: # execute user-defined alert filters with timer(f"Filtering of {object_id} {candid}", alert_worker.verbose > 1): @@ -160,6 +197,7 @@ def process_alert(alert: Mapping, topic: str): del ( alert, prv_candidates, + fp_hists, all_prv_candidates, scores, xmatches, @@ -457,6 +495,26 @@ def alert_put_photometry(self, alert): ) continue + def deduplicate_fp_hists(self, existing_fp=[], latest_fp=[]): + # for the forced photometry (fp_hists) unfortunately it's not as simple as deduplicating with a set + # the fp_hists of each candidate of an object is recomputed everytime, so datapoints + # at the same jd can be different, so we grab the existing fp_hists aggregate, and build a new one. + + # first find the oldest jd in the latest fp_hists + oldest_jd_in_latest = min([fp["jd"] for fp in latest_fp]) + # get all the datapoints in the existing fp_hists that are older than the oldest jd in the latest fp_hists + older_datapoints = [fp for fp in existing_fp if fp["jd"] < oldest_jd_in_latest] + + # TODO: implement a better logic here. Could be based on: + # - SNR (better SNR datapoints might be better) + # - position (centroid, closer to the avg position might be better) + # - mag (if 1 sigma brighter or dimmer than the current datapoints, use the newer ones) + + # for now, just append the latest fp_hists to the older ones, + # to prioritize newer datapoints which might come from an updated pipeline + + return older_datapoints + latest_fp + class WorkerInitializer(dask.distributed.WorkerPlugin): def __init__(self, *args, **kwargs): diff --git a/kowalski/tests/test_alert_broker_pgir.py b/kowalski/tests/test_alert_broker_pgir.py index 82513f41..6cf5283a 100644 --- a/kowalski/tests/test_alert_broker_pgir.py +++ b/kowalski/tests/test_alert_broker_pgir.py @@ -34,7 +34,7 @@ class TestAlertBrokerPGIR: def test_alert_mongification(self): """Test massaging avro packet into a dict digestible by mongodb""" - alert, prv_candidates = self.worker.alert_mongify(self.alert) + alert, prv_candidates, _ = self.worker.alert_mongify(self.alert) assert alert["candid"] == self.candid assert len(prv_candidates) == 71 @@ -43,7 +43,7 @@ def test_make_photometry(self): assert len(df_photometry) == 71 def test_make_thumbnails(self): - alert, _ = self.worker.alert_mongify(self.alert) + alert, _, _ = self.worker.alert_mongify(self.alert) for ttype, istrument_type in [ ("new", "Science"), ("ref", "Template"), @@ -54,13 +54,13 @@ def test_make_thumbnails(self): def test_alert_filter__ml(self): """Test executing ML models on the alert""" - alert, _ = self.worker.alert_mongify(self.alert) + alert, _, _ = self.worker.alert_mongify(self.alert) scores = self.worker.alert_filter__ml(alert) log(scores) def test_alert_filter__xmatch(self): """Test cross matching with external catalog""" - alert, _ = self.worker.alert_mongify(self.alert) + alert, _, _ = self.worker.alert_mongify(self.alert) xmatches = self.worker.alert_filter__xmatch(alert) catalogs_to_xmatch = config["database"].get("xmatch", {}).get("PGIR", {}).keys() assert isinstance(xmatches, dict) diff --git a/kowalski/tests/test_alert_broker_turbo.py b/kowalski/tests/test_alert_broker_turbo.py index f9c16bf6..2b70ee8e 100644 --- a/kowalski/tests/test_alert_broker_turbo.py +++ b/kowalski/tests/test_alert_broker_turbo.py @@ -34,7 +34,7 @@ class TestAlertBrokerTURBO: def test_alert_mongification(self): """Test massaging avro packet into a dict digestible by mongodb""" - alert, prv_candidates = self.worker.alert_mongify(self.alert) + alert, prv_candidates, _ = self.worker.alert_mongify(self.alert) assert alert["candid"] == self.candid assert len(prv_candidates) == 0 # 71 @@ -43,7 +43,7 @@ def test_make_photometry(self): assert len(df_photometry) == 0 # 71 def test_make_thumbnails(self): - alert, _ = self.worker.alert_mongify(self.alert) + alert, _, _ = self.worker.alert_mongify(self.alert) for ttype, istrument_type in [ ("new", "Science"), ("ref", "Template"), @@ -54,7 +54,7 @@ def test_make_thumbnails(self): def test_alert_filter__xmatch(self): """Test cross matching with external catalog""" - alert, _ = self.worker.alert_mongify(self.alert) + alert, _, _ = self.worker.alert_mongify(self.alert) xmatches = self.worker.alert_filter__xmatch(alert) catalogs_to_xmatch = ( config["database"].get("xmatch", {}).get("TURBO", {}).keys() diff --git a/kowalski/tests/test_alert_broker_wntr.py b/kowalski/tests/test_alert_broker_wntr.py index eb5e012e..0b90ed5f 100644 --- a/kowalski/tests/test_alert_broker_wntr.py +++ b/kowalski/tests/test_alert_broker_wntr.py @@ -35,7 +35,7 @@ class TestAlertBrokerWNTR: def test_alert_mongification(self): """Test massaging avro packet into a dict digestible by mongodb""" - alert, prv_candidates = self.worker.alert_mongify(self.alert) + alert, prv_candidates, _ = self.worker.alert_mongify(self.alert) assert alert["candid"] == self.candid assert len(alert["candidate"]) > 0 # ensure cand data is not empty assert alert["objectId"] == self.alert["objectId"] @@ -50,7 +50,7 @@ def test_make_photometry(self): assert df_photometry["filter"][0] == "2massj" def test_make_thumbnails(self): - alert, _ = self.worker.alert_mongify(self.alert) + alert, _, _ = self.worker.alert_mongify(self.alert) for ttype, istrument_type in [ ("new", "Science"), ("ref", "Template"), @@ -61,7 +61,7 @@ def test_make_thumbnails(self): def test_alert_filter__xmatch(self): """Test cross matching with external catalog""" - alert, _ = self.worker.alert_mongify(self.alert) + alert, _, _ = self.worker.alert_mongify(self.alert) xmatches = self.worker.alert_filter__xmatch(alert) catalogs_to_xmatch = config["database"].get("xmatch", {}).get("WNTR", {}).keys() assert isinstance(xmatches, dict) diff --git a/kowalski/tests/test_alert_broker_ztf.py b/kowalski/tests/test_alert_broker_ztf.py index 45bf7f60..8741f05c 100644 --- a/kowalski/tests/test_alert_broker_ztf.py +++ b/kowalski/tests/test_alert_broker_ztf.py @@ -68,7 +68,7 @@ def filter_template(upstream): def post_alert(worker, alert): - alert, _ = worker.alert_mongify(alert) + alert, _, _ = worker.alert_mongify(alert) # check if it already exists if worker.mongo.db[worker.collection_alerts].count_documents( {"candid": alert["candid"]} @@ -90,16 +90,78 @@ class TestAlertBrokerZTF: def test_alert_mongification(self): """Test massaging avro packet into a dict digestible by mongodb""" - alert, prv_candidates = self.worker.alert_mongify(self.alert) + alert, prv_candidates, fp_hists = self.worker.alert_mongify(self.alert) assert alert["candid"] == self.candid assert len(prv_candidates) == 31 + assert len(fp_hists) == 0 + + def test_alert_mongofication_with_fphists(self): + """Test massaging avro packet into a dict digestible by mongodb, with the new ZTF alert schema""" + candid = 2475433850015010009 + sample_avro = f"data/ztf_alerts/20231012/{candid}.avro" + with open(sample_avro, "rb") as f: + for record in fastavro.reader(f): + alert, prv_candidates, fp_hists = self.worker.alert_mongify(record) + assert alert["candid"] == candid + assert len(prv_candidates) == 20 + assert len(fp_hists) == 21 + # verify that they are in order (jd, oldest to newest) + assert all( + [ + fp_hists[i]["jd"] < fp_hists[i + 1]["jd"] + for i in range(len(fp_hists) - 1) + ] + ) + + # test the removal of nulls and bad fields (None, -99999, -99999.0) + assert "forcediffimflux" in fp_hists[0] + fp_hists = [ + { + kk: vv + for kk, vv in fp_hist.items() + if vv not in [None, -99999, -99999.0] + } + for fp_hist in fp_hists + ] + assert "forcediffimflux" not in fp_hists[0] + + # FOR NOW: we decided to only store the forced photometry for the very first alert we get for an object + # so, no need to update anything here + + # # test the merging of existing fp_hists and new fp_hists + # # we split the existing fp_hists in two to simulate the case where + # # we have overlapping datapoints + # existing_fp_hists = fp_hists[:15] + # latest_fp_hists = fp_hists[11:] + + # new_fp_hists = self.worker.deduplicate_fp_hists( + # existing_fp_hists, latest_fp_hists + # ) + # assert len(new_fp_hists) == 21 + + # # verify that their jds are in order + # assert all( + # [ + # new_fp_hists[i]["jd"] < new_fp_hists[i + 1]["jd"] + # for i in range(len(new_fp_hists) - 1) + # ] + # ) + # # verify that the datapoints are the exact same as original fp_hists + # # that is, that all the keys are the same, and that the values are the same + # for i in range(len(new_fp_hists)): + # assert ( + # set(new_fp_hists[i].keys()).difference(set(fp_hists[i].keys())) + # == set() + # ) + # for k in new_fp_hists[i].keys(): + # assert new_fp_hists[i][k] == fp_hists[i][k] def test_make_photometry(self): df_photometry = self.worker.make_photometry(self.alert) assert len(df_photometry) == 32 def test_make_thumbnails(self): - alert, _ = self.worker.alert_mongify(self.alert) + alert, _, _ = self.worker.alert_mongify(self.alert) for ttype, istrument_type in [ ("new", "Science"), ("ref", "Template"), @@ -110,7 +172,7 @@ def test_make_thumbnails(self): def test_alert_filter__ml(self): """Test executing ML models on the alert""" - alert, prv_candidates = self.worker.alert_mongify(self.alert) + alert, prv_candidates, _ = self.worker.alert_mongify(self.alert) all_prv_candidates = deepcopy(prv_candidates) + [deepcopy(alert["candidate"])] scores = self.worker.alert_filter__ml(alert, all_prv_candidates) assert len(scores) > 0 @@ -118,7 +180,7 @@ def test_alert_filter__ml(self): def test_alert_filter__xmatch(self): """Test cross matching with external catalog""" - alert, _ = self.worker.alert_mongify(self.alert) + alert, _, _ = self.worker.alert_mongify(self.alert) xmatches = self.worker.alert_filter__xmatch(alert) catalogs_to_xmatch = config["database"].get("xmatch", {}).get("ZTF", {}).keys() assert isinstance(xmatches, dict) @@ -327,7 +389,7 @@ def test_alert_filter__user_defined_followup_with_broker(self): ) assert passed_filters[1]["auto_followup"]["data"]["payload"]["priority"] == 3 - alert, prv_candidates = self.worker.alert_mongify(self.alert) + alert, prv_candidates, _ = self.worker.alert_mongify(self.alert) self.worker.alert_sentinel_skyportal(alert, prv_candidates, passed_filters) # now fetch the follow-up request from SP @@ -369,7 +431,7 @@ def test_alert_filter__user_defined_followup_with_broker(self): ) assert passed_filters[1]["auto_followup"]["data"]["payload"]["priority"] == 4 - alert, prv_candidates = self.worker.alert_mongify(self.alert) + alert, prv_candidates, _ = self.worker.alert_mongify(self.alert) self.worker.alert_sentinel_skyportal(alert, prv_candidates, passed_filters) # now fetch the follow-up request from SP @@ -418,7 +480,7 @@ def test_alert_filter__user_defined_followup_with_broker(self): passed_filters[0]["auto_followup"]["data"]["target_group_ids"] ).issubset(set([target_group_id] + [saved_group_id])) - alert, prv_candidates = self.worker.alert_mongify(self.alert) + alert, prv_candidates, _ = self.worker.alert_mongify(self.alert) self.worker.alert_sentinel_skyportal(alert, prv_candidates, passed_filters) # now fetch the follow-up request from SP @@ -466,7 +528,7 @@ def test_alert_filter__user_defined_followup_with_broker(self): == "IFU" ) - alert, prv_candidates = self.worker.alert_mongify(self.alert) + alert, prv_candidates, _ = self.worker.alert_mongify(self.alert) self.worker.alert_sentinel_skyportal(alert, prv_candidates, passed_filters) # now fetch the source from SP @@ -527,7 +589,7 @@ def test_alert_filter__user_defined_followup_with_broker(self): == "IFU" ) - alert, prv_candidates = self.worker.alert_mongify(self.alert) + alert, prv_candidates, _ = self.worker.alert_mongify(self.alert) self.worker.alert_sentinel_skyportal(alert, prv_candidates, passed_filters) # now fetch the source from SP @@ -605,7 +667,7 @@ def test_alert_filter__user_defined_followup_with_broker(self): == "IFU" ) - alert, prv_candidates = self.worker.alert_mongify(self.alert) + alert, prv_candidates, _ = self.worker.alert_mongify(self.alert) self.worker.alert_sentinel_skyportal(alert, prv_candidates, passed_filters) # now fetch the follow-up request from SP diff --git a/kowalski/tests/test_ingester_ztf.py b/kowalski/tests/test_ingester_ztf.py index c2e61091..c34bf041 100644 --- a/kowalski/tests/test_ingester_ztf.py +++ b/kowalski/tests/test_ingester_ztf.py @@ -422,6 +422,43 @@ def test_ingester(self): time.sleep(15) continue + # now do the same with 21 alerts that use the new alert schema + date = datetime.datetime.utcnow().strftime("%Y%m%d") + topic_name = f"ztf_{date}_programid1_test" + path_alerts = "ztf_alerts/20231012" + with KafkaStream( + topic_name, + pathlib.Path(f"data/{path_alerts}"), + config=config, + test=True, + ): + log("Starting up Ingester") + watchdog(obs_date=date, test=True) + log("Digested and ingested: all done!") + + log("Checking the ZTF alert collection states") + num_retries = 20 + # alert processing takes time, which depends on the available resources + # so allow some additional time for the processing to finish + for i in range(num_retries): + if i == num_retries - 1: + raise RuntimeError("Alert ingestion failed") + + n_alerts = mongo.db[collection_alerts].count_documents({}) + n_alerts_aux = mongo.db[collection_alerts_aux].count_documents({}) + + try: + assert n_alerts == 313 + 24 + assert n_alerts_aux == 145 + 24 + break + except AssertionError: + print( + "Found an unexpected amount of alert/aux data: " + f"({n_alerts}/{n_alerts_aux}, expecting 358/169). " + "Retrying in 15 seconds..." + ) + time.sleep(15) + continue if config["misc"]["broker"]: log("Checking that posting to SkyPortal succeeded")