diff --git a/backend/README.md b/backend/README.md deleted file mode 100644 index 48c763d..0000000 --- a/backend/README.md +++ /dev/null @@ -1,7 +0,0 @@ -# stac-catalog - -``` -# Make and activate a python environment -pip install -r requirements.txt -./run.sh -``` \ No newline at end of file diff --git a/backend/destinE_schema b/backend/destinE_schema deleted file mode 100644 index faa8402..0000000 --- a/backend/destinE_schema +++ /dev/null @@ -1,130 +0,0 @@ -# * Format of the rules is: - -# [a1, a2, a3 ...[b1, b2, b3... [c1, c2, c3...]]] - -# - The first level (a) defines which attributes are used to name the top level directory -# - The second level (b) defines which attributes are used to name the data files -# - The third level (c) defines which attributes are used as index keys - -# * Rules can be grouped - -# [a1, a2, a3 ... -# [b1, b2, b3... [c1, c2, c3...]] -# [B1, B2, B3... [C1, C2, C3...]] -# ] - -# * A list of values can be given for an attribute -# [ ..., stream=enfo/efov, ... ] -# This will be used when matching rules. - -# * Attributes can be typed -# Globally, at the begining of this file: - -# refdate: Date; - -# or in the context of a rule: -# [type=cl, ... [date:ClimateMonth, ...]] - -# Typing attributes is done when the user's requests or the GRIB values need to be modified before directories, files and indexes are created. For example, ClimateMonth will transform 2010-04-01 to 'may' internally. - -# * Attributes can be optional -# [ step, levelist?, param ] -# They will be replaced internally by an empty value. It is also posiible to provide a default subtitution value: e.g. [domain?g] will consider the domain to be 'g' if missing. - -# * Attributes can be removed: -# [grid-] -# This is useful to remove attributes present in the GRIB that should not be ignored - -# * Rules are matched: - -# - If the attributes are present in the GRIB/Request, or marked optional or ignored -# - If a list of possible value is provided, one of them must match, for example -# [ class, expver, stream=enfo/efov, date, time, domain ] -# will match either stream=enfo or stream=efov, all other attributes will be matched if they exist in the GRIB or user's request - -# * On archive: -# - Attributes are extracted from the GRIB (namespace 'mars'), possibly modified by the attribute type -# - Only the first rule is used, so order is important -# - All GRIB attributes must be used by the rules, otherwise an error is raised - -# * On retrieve: -# - Attributes are extracted from the user's request, possibly modified by the attribute type (e.g. for handling of U/V) -# - All the matching rules are considered -# - Only attributes listed in the rules are used to extract values from the user's request - - -# Default types - -param: Param; -step: Step; -date: Date; -hdate: Date; -refdate: Date; -latitude: Double; -longitude: Double; -levelist: Double; -grid: Grid; -expver: Expver; - -time: Time; -fcmonth: Integer; - -number: Integer; -frequency: Integer; -direction: Integer; -channel: Integer; - -instrument: Integer; -ident: Integer; - -diagnostic: Integer; -iteration: Integer; -system: Integer; -method: Integer; - - -######################################################## -# These are the rules for the Climate DT - -# clte/wave -[ class=d1, dataset=climate-dt, activity, experiment, generation, model, realization, expver, stream=clte/wave, date - [ resolution, type, levtype - [ time, levelist?, param, frequency?, direction? ]] -] - -# clmn -[ class=d1, dataset=climate-dt, activity, experiment, generation, model, realization, expver, stream=clmn, year - [ month, resolution, type, levtype - [ levelist?, param ]] -] - -######################################################## -# These are the rules for the Extremes DT -# oper/wave/lwda/lwwv -[ class=d1, dataset=extremes-dt, expver, stream=oper/wave/lwda/lwwv, date, time - [ resolution?, type, levtype - [ step, levelist?, param, frequency?, direction? ]] -] -######################################################## -# These are the rules for the On-Demand Extremes DT -# oper/wave -[ class=d1, dataset=on-demand-extremes-dt, expver, stream=oper/wave, date, time - [ type, levtype - [ step, levelist?, param, frequency?, direction? ]] -] -######################################################## - - -######################################################## -# -# These are the rules for rd -# oper/wave/lwda/lwwv -[ class=rd, expver, stream=oper/wave/lwda/lwwv/dcda/enfo, date, time, domain? - [ type, levtype - [ number?, step, levelist?, param, frequency?, direction? ]] -] - -[ class=rd, expver, stream=mnth, domain? - [ type, levtype - [ date , time, step?, levelist?, param ]] -] \ No newline at end of file diff --git a/backend/destine_language.yaml b/backend/destine_language.yaml deleted file mode 100644 index d947a44..0000000 --- a/backend/destine_language.yaml +++ /dev/null @@ -1,1253 +0,0 @@ ---- -_field: &_field - - - -# type: -# values: -# - [fc, ] - - - - - levtype: - values: - - [pl, ] - - class: - description: Class selects the main category of data to be retrieved such as operational, research or AIFS - category: data - default: od - flatten: false - type: enum - values: - # - [ai, operational aifs] - - [d1, Destine data] - # - [od, operations] - # - [rd, research] - - - type: - category: data - default: an - flatten: false - type: enum - multiple: true - values: - # - [3g, 3d variational gradients] - # - [3v, 3d variational analysis] - # - [4g, 4d variational gradients] - # - [4i, 4d variational increments] - # - [4v, 4d variational analysis] - # - [ab, analysis bias] - # - [af, analysis feedback] - # - [ai, analysis input] - # - [an, analysis] - # - [as, adjoint singular vector] - # - [bf, bias-corrected forecast] - # - [cd, climate distribution] - # - [cf, control forecast] - # - [ci, clustering information] - # - [cl, climatology] - # - [cm, cluster means] - # - [cr, cluster representative] - # - [cs, cluster std deviations] - # - [cv, calibration validation forecast] - # - [ea, errors in analysis] - # - [ed, empirical distribution] - # - [ef, errors in first guess] - # - [efi, extreme forecast index] - # - [efic, extreme forecast index control] - # - [em, ensemble mean] - # - [eme, ensemble data assimilation model errors] - # - [emtm, ensemble mean of temporal mean] - # - [ep, event probability] - # - [es, ensemble standard deviation] - # - [est, ensemble statistics] - # - [estdtm, ensemble standard deviation of temporal mean] - # - [fa, forecast accumulation] - # - [fb, feedback] - - [fc, forecast] - # - [fcdfb, forecast departures feedback] - # - [fcmax, forecast maximum] - # - [fcmean, forecast mean] - # - [fcmin, forecast minimum] - # - [fcstdev, forecast standard deviation] - # - [ff, flux forcing realtime] - # - [fg, first guess] - # - [fp, forecast probability] - # - [fsoifb, forecast sensitivity to observations impact feedback] - # - [fu, fill-up] - # - [fx, flux forcing] - # - [ga, gfas analysis] - # - [gbf, bias-corrected gridbox] - # - [gai, gridded analysis input] - # - [go, gridded observations] - # - [gsd, gridded satellite data] - # - [gwt, weather type gridbox] - # - [hcmean, hindcast mean] - # - [ia, init. analysis] - # - [icp, initial condition perturbation] - # - [mpp, model physics perturbation] - # - [if, interim forecast] - # - [im, images] - # - [me, model errors] - # - [mfb, mondb feedback] - # - [oai, odb analysis input] - # - [ob, observations] - # - [of, ocean forward] - # - [ofb, odb feedback] - # - [oi, oi analysis] - # - [oldim, old format images] - # - [or, ocean reanalysis] - # - [pa, perturbed analysis] - # - [pb, probability boundary] - # - [pd, probability distribution] - - [pf, perturbed forecast] - # - [pfc, point values] - # - [ppm, point value metrics] - # - [s3, climate 30 days simulation] - # - [ses, scaled ensemble standard deviation] - # - [sf, sensitivity forecast] - # - [sfb, summary feedback] - # - [sfo, simulations with forcing] - # - [sg, sensitivity gradient] - # - [si, climate simulation] - # - [sim, simulated images] - # - [sot, shift of tails] - # - [ssd, simulated satellite data] - # - [sv, singular vector] - # - [svar, signal variance] - # - [taem, time average ensemble mean] - # - [taes, time average ensemble standard deviation] - # - [tpa, time processed analysis] - # - [tf, trajectory forecast] - # - [tu, tube] - # - [wem, weighted ensemble mean] - # - [wes, weighted ensemble standard deviation] - # - [wp, weather parameters] - - stream: - description: Stream selects the kind of data to be retrieved, for example the forecast model or the ensemble model. - category: data - default: oper - flatten: false - type: enum - values: - - [clte, climate, Climate run output] # climate-dt - - [oper, da, daily archive, atmospheric model] # climate-dt / extremes-dt / on-demand-extremes-dt - - [wave, wv, wave model] # climate-dt / extremes-dt - - [lwda, long window daily archive] # extremes-dt - - [lwwv, long window wave] # extremes-dt - - [clmn, climate-monthly, Climate run monthly means output] # climate-dt - - # - [amap, analysis for multianalysis project] - # - [ammc, melbourne] - # - [cher, ch, chernobyl] - - # - [cnrm, meteo france climate centre] - # - [cwao, montreal] - # - [dacl, daily climatology] - # - [dacw, daily climatology wave] - # - [dahc, daily archive hindcast] - # - [dcda, atmospheric model (delayed cutoff)] - # - [dcwv, wave model (delayed cutoff)] - # - [edmm, ensemble data assimilation monthly means] - # - [edmo, ensemble data assimilation monthly means of daily means] - # - [edzw, offenbach] - # - [eefh, extended ensemble forecast hindcast] - # - [eefo, extended ensemble prediction system] - # - [eehs, extended ensemble forecast hindcast statistics] - # - [efas, european flood awareness system (efas)] - # - [efcl, european flood awareness system (efas) climatology] - # - [efhc, ensemble forecast hindcasts (obsolete)] - # - [efho, ensemble forecast hindcast overlap] - # - [efhs, ensemble forecast hindcast statistics] - # - [efov, ensemble forecast overlap] - # - [efrf, european flood awareness system (efas) reforecasts] - # - [efse, european flood awareness system (efas) seasonal forecasts] - # - [efsr, european flood awareness system (efas) seasonal reforecasts] - # - [egrr, exeter, bracknell] - # - [ehmm, combined multi-model hindcast monthly means] - # - [elda, ensemble long window data assimilation] - # - [enda, ensemble data assimilation] - # - [enfh, ensemble forecast hindcasts] - # - [enfo, ef, ensemble prediction system] - # - [enwh, ensemble forecast wave hindcasts] - # - [esmm, combined multi-model monthly means] - # - [espd, ensemble supplementary data] - # - [ewda, ensemble wave data assimilation] - # - [ewhc, wave ensemble forecast hindcast (obsolete)] - # - [ewho, ensemble forecast wave hindcast overlap] - # - [ewla, ensemble wave long window data assimilation] - # - [ewmm, ensemble wave data assimilation monthly means] - # - [ewmo, ensemble wave data assimilation monthly means of daily means] - # - [fgge, fg] - # - [fsob, forecast sensitivity to observations] - # - [fsow, forecast sensitivity to observations wave] - # - [gfas, global fire assimilation system] - # - [gfra, global fire assimilation system reanalysis] - # - [kwbc, washington] - # - [lfpw, paris, toulouse] - # - [ma, means archive] - # - [maed, multianalysis ensemble data] - # - [mawm, wave anomaly means] - # - [mawv, multianalysis wave data] - # - [mdfa, monthly means of daily forecast accumulations] - # - [mfam, anomaly means] - # - [mfaw, wave anomalies] - # - [mfhm, hindcast means] - # - [mfhw, monthly forecast hindcasts wave] - # - [mfwm, wave real-time means] - # - [mhwm, wave hindcast means] - # - [mmaf, multi-model multi-annual forecast] - # - [mmam, multi-model multi-annual forecast means] - # - [mmaw, multi-model multi-annual forecast wave] - # - [mmsa, multi-model seasonal forecast monthly anomalies] - # - [mmsf, multi-model seasonal forecast] - # - [mmwm, multi-model multi-annual forecast wave means] - # - [mnfa, anomalies] - # - [mnfc, real-time] - # - [mnfh, hindcasts] - # - [mnfm, real-time means] - # - [mnfw, wave real-time] - # - [mnth, mo, monthly, monthly means] - # - [mnvr, monthly variance and covariance data using g. boer's step function] - # - [moda, monthly means of daily means] - # - [mofc, monthly forecast] - # - [mofm, monthly forecast means] - # - [monr, monthly means using g. boer's step function] - # - [mpic, max plank institute] - # - [msda, monthly standard deviation and covariance of daily means] - # - [msdc, mv, monthly standard deviation and covariance] - # - [msmm, multi-model seasonal forecast atmospheric monthly means] - # - [mswm, multi-model seasonal forecast wave monthly means] - # - [ocda, ocean data assimilation] - # - [ocea, ocean] - # - [olda, ocean Long window data assimilation] - # - [rjtd, tokyo] - # - [scda, atmospheric model (short cutoff)] - # - [scwv, wave model (short cutoff)] - # - [seap, sensitive area prediction] - # - [seas, seasonal forecast] - # - [sens, sf, sensitivity forecast] - # - [sfmm, seasonal forecast atmospheric monthly means] - # - [smma, seasonal monthly means anomalies] - # - [supd, sd, deterministic supplementary data] - # - [swmm, seasonal forecast wave monthly means] - # - [toga, tg] - # - [ukmo, ukmo climate centre] - # - [waef, we, wave ensemble forecast] - # - [wamd, wave monthly means of daily means] - # - [wamf, wave monthly forecast] - # - [wamo, wave monthly means] - # - [wams, multi-model seasonal forecast wave] - # - [wasf, wave seasonal forecast] - # - [wavm, wave model (standalone)] - # - [weef, wave extended ensemble forecast] - # - [weeh, wave extended ensemble forecast hindcast] - # - [wees, wave extended ensemble forecast hindcast statistics] - # - [wehs, wave ensemble forecast hindcast statistics] - # - [weov, wave ensemble forecast overlap] - # - [wfas, global flood awareness system (glofas)] - # - [wfcl, global flood awareness system (glofas) climatology] - # - [wfrf, global flood awareness system (glofas) reforecasts] - # - [wfse, global flood awareness system (glofas) seasonal forecasts] - # - [wfsr, global flood awareness system (glofas) seasonal reforecasts] - # - [wmfm, wave monthly forecast means] - # - [wvhc, wave hindcast] - expver: - description: Experiment number, 0001 is operational data. - category: data - default: '0001' - flatten: false - type: enum - values: - - ['0001', 'Operational Data'] - - ['xxxx', 'Experimental Data'] - - ['xxxy', 'Experimental Data'] - - dataset: - # flatten: false - multiple: true - type: enum - values: - - [climate-dt, Climate Data] - - [extremes-dt, Extremes Data] - - [on-demand-extremes-dt, On-Demand Extremes Data] - - model: - category: data - type: lowercase - - repres: - flatten: false - multiple: true - type: enum - values: - - gg - - sh - - ll - - np - - rl - - obsgroup: - category: data - multiple: true - type: enum - values: - # - [conventional] - - [sat, satellite] - - [ers1] - - [trmm] - - [qscat] - - [reo3] # reo3 needs to stay for compatibility - # previously in "obsgroups.def" - - [hirs, 1, HIRS ] - - [amsua, 2, AMSUA ] - - [amsub, 3, AMSUB ] - - [mhs, 4, MHS ] - - [geos, 5, GEOS ] - - [resat, 6, RESAT ] - - [meris, 7, MERIS ] - - [gpsro, 8, GPSRO ] - - [satob, 9, SATOB ] - - [scatt, 10, SCATT ] - - [ssmi_as, 11, SSMI ALL-SKY ] - - [iasi, 12, IASI ] - - [airs, 13, AIRS ] - - [ssmis_as, 14, SSMIS ALL-SKY ] - - [tmi_as, 15, TMI ALL-SKY ] - - [amsre_as, 16, AMSRE ALL-SKY ] - - [conv, 17, CONV ] - - [smos, 19, SMOS ] - - [windsat_as, 20, WINDSAT ALL-SKY ] - - [ssmi, 21, SSMI ] - - [amsua_as, 22, AMSUA ALL-SKY ] - - [amsre, 23, AMSRE ] - - [tmi, 24, TMI ] - - [ssmis, 25, SSMIS ] - - [gbrad, 26, GBRAD ] - - [mwhs, 27, MWHS ] - - [mwts, 28, MWTS ] - - [mwri_as, 29, MWRI ALL-SKY ] - - [iras, 30, IRAS ] - - [msu, 31, MSU ] - - [ssu, 32, SSU ] - - [vtpr1, 33, VTPR1 ] - - [vtpr2, 34, VTPR2 ] - - [atms, 35, ATMS ] - - [resat_ak, 36, RESAT AVERAGING KERNELS ] - - [cris, 37, CRIS ] - - [wave_ip, 38, WAVE INTEGRATED PARAMETERS ] - - [wave_sp, 39, WAVE SPECTRA ] - - [raingg, 40, RAINGG ] - - [sfc_ms, 41, SURFACE MULTISENSOR ] - - [amsr2_as, 42, AMSR-2 ALL-SKY ] - - [saphir_as, 43, SAPHIR ALL-SKY ] - - [amsub_as, 44, AMSUB ALL-SKY ] - - [mhs_as, 45, MHS ALL-SKY ] - - [dwl, 46, DOPPLER WIND LIDAR ] - - [iris, 47, IRIS ] - - [aatsr, 49, AATSR ] - - [atms_as, 50, ATMS ALL-SKY ] - - [gmi_as, 51, GMI ALL-SKY ] - - [godae_sst, 52, GODAE SEA SURFACE TEMPERATURES ] - - [atovs_ms, 53, ATOVS MULTISENSOR ] - - [atmospheric_composition, 54, ATMOSPHERIC COMPOSITION ] - - [non_sfc_ms, 55, NON-SURFACE MULTISENSOR ] - - [mwts2, 56, MWTS2 ] - - [ssmi_1d, 57, SSMI 1DVAR TCWV CLOUDY-SKY ] - - [mwhs2_as, 58, MWHS2 ALL-SKY ] - - [ssmt2, 59, SSMT2 ] - - [smap, 60, SMAP ] - - [tovs_ms, 61, TOVS MULTISENSOR ] - - [cloud_r, 62, CLOUD REFLECTIVITY ] - - [cloud_l, 63, CLOUD LIDAR ] - - [satellite_lightning, 64, SATELLITE LIGHTNING ] - - [geos_vis, 65, GEOS VIS ] - - [oconv, 66, OCONV ] - - [mwts3_as, 67, MWTS3 All-sky ] - - [giirs, 68, GIIRS ] - - [test, 99, TEST ] - - reportype: - category: data - type: any - multiple: true - - # rdbprefix - - levtype: - description: The Level Type, can be pressure levels, the surface, model levels etc. - category: data - default: pl - flatten: false - type: enum - values: - # - [cat, category] - # - [dp, depth] - # - [layer] - # - [ml, model levels] - - [pl, pressure levels] - # - [hl, height levels] - # - [pt, potential temperature] - # - [pv, potential vorticity] - - [sfc, surface] - # - [sol, surface other (multi)levels] - # - [wv, ocean wave] - # - [o2d, ocean surface] - # - [o3d, ocean model levels] - never: - - type: ssd - - levelist: - category: data - multiple: true - by: 1 - default: - - 1000 - - 850 - - 700 - - 500 - - 400 - - 300 - never: - - levtype: [sfc, o2d] - - type: ssd - type: enum - values: - - [1, ] - - [5, ] - - [10, ] - - [20, ] - - [30, ] - - [50, ] - - [70, ] - - [100, ] - - [150, ] - - [200, ] - - [250, ] - - [300, ] - - [400, ] - - [500, ] - - [600, ] - - [700, ] - - [850, ] - - [925, ] - - [1000, ] - - param: - category: data - default: 129 - multiple: true - type: param - never: - - type: [tf, ob] - values: - - [60, "Potential vorticity"] - - [129, "Geopotential"] - - [130, "Temperature"] - - [131, "U component of wind"] - - [132, "V component of wind"] - - [133, "Specific humidity"] - - [135, "Vertical velocity"] - - [157, "Relative humidity"] - - [246, "Specific cloud liquid water content"] - - -################################################################# - - # year - # decade - # month - - date: - category: data - default: 0 - type: enum - multiple: true - values: - - [20211021, ] - - year: - category: data - type: to-by-list - multiple: true - by: 1 - - month: - category: data - flatten: true - type: enum - multiple: true - values: - - [1, jan, January] - - [2, feb, February] - - [3, mar, March] - - [4, apr, April] - - [5, may, May] - - [6, jun, June] - - [7, jul, July] - - [8, aug, August] - - [9, sep, September] - - [10, oct, October] - - [11, nov, November] - - [12, dec, December] - - # verify - # refdate - - hdate: - category: data - multiple: true - only: - - stream: - - enfh - - enwh - - efho - - ehmm - - ewho - - eefh - - weeh - type: integer - - offsetdate: - category: data - multiple: true - type: date - - fcmonth: - category: data - multiple: true - by: 1 - type: to-by-list - - fcperiod: - category: data - multiple: true - type: integer - - time: - category: data - default: '1200' - multiple: true - type: enum - values: - - ["0000", ] - - ["0100", ] - - ["0200", ] - - ["0300", ] - - ["0400", ] - - ["0500", ] - - ["0600", ] - - ["0700", ] - - ["0800", ] - - ["0900", ] - - ["1000", ] - - ["1100", ] - - ["1200", ] - - ["1300", ] - - ["1400", ] - - ["1500", ] - - ["1600", ] - - ["1700", ] - - ["1800", ] - - ["1900", ] - - ["2000", ] - - ["2100", ] - - ["2200", ] - - ["2300", ] - - offsettime: - category: data - multiple: true - type: time - - # leadtime - # opttime - # range - - step: - description: Specify which forecast we want in hours past the date/time. - category: data - multiple: true - by: 12 - default: 0 - type: range - never: - - dataset: - - climate-dt - - stream: - - msmm - - mmsa - - swmm - - anoffset: - category: data - multiple: true - type: integer - - reference: - category: data - multiple: true - type: integer - -################################################################# - - # cluster - # probability - - number: - description: Selects a subset of ensemble members - category: data - multiple: true - aliases: - - ensemble - by: 1 - only: - - type: [pf, cr, cm, fcmean, fcmin, fcmax, fcstdev, sot, fc, wp, 4i, 4v] - never: - # This is to prevent number with type=fc and stream=oper - - stream: [oper, wave] - type: to-by-list - - quantile: - category: data - multiple: true - only: - - type: - - pd - - pb - - taem - - cd - # - sot - type: to-by-list-quantile - denominators: [2,3,4,5,10,100,1000] - by: 1 - domain: - description: The large scale geographic region. - category: data - default: g - flatten: false - type: enum - never: - - dataset: - - climate-dt - values: - # - [a, north west europe] - # - [b, north east europe, baltic and black sea] - - [c, south west europe] - - [d, south east europe] - - [e, europe] - # - [f, fastex] - - [g, globe, general european area] - # - [h] - # - [i] - # - [j] - # - [k] - # - [l] - # - [m, mediterranean] - # - ['n', northern hemisphere] - # - [o] - # - [p] - # - [q] - # - [r] - # - [s, southern hemisphere] - # - [t, tropics] - # - [u, tropics 2] - # - [v] - # - [w, western atlantic] - # - [x] - # - ['y'] - # - [z] - - frequency: - category: data - multiple: true - by: 1 - only: - - param: - - '140251' - type: to-by-list - - direction: - category: data - multiple: true - by: 1 - only: - - param: - - '140251' - type: to-by-list - - diagnostic: - category: data - type: integer - multiple: true - - iteration: - category: data - type: integer - multiple: true - - channel: - category: data - only: - - type: ssd - type: integer - multiple: true - - ident: - category: data - only: - - type: ssd - type: integer - multiple: true - - instrument: - category: data - only: - - type: ssd - type: integer - multiple: true - - method: - category: data - type: integer - - origin: - category: data - multiple: true - type: enum - values: - - [ammc, 1, melbourne] - - [babj, 38, beijing] - - [cmcc] - - [cnmc, 80] - - [consensus, 255] - - [crfc, 239, cerfacs] - - [cwao, 54, montreal] - - [ecmf, 98, ecmwf] - - [edzw, dwd, 78, offenbach] - - [egrr, 74, exeter, bracknell] - - [enmi, 88, oslo] - - [fnmo, fnmoc, 58, fleet numerical] - - [hadc, 247, hadley centre] - - [ifmk, 246] - - [ingv, 235] - - [knmi, 245] - - [kwbc, 7, washington] - - [lemm, 214, madrid] - - [lfpw, 84, 85, paris, toulouse] - - [rjtd, 34, tokyo] - - [rksl, 40, seoul] - - [sbsj, 46, cptec] - - [vuwien, 244, university of vienna] - - system: - category: data - type: integer - -####################################################################### -# DestinE ClimateDT related keywords - - - model: - type: enum - description: Which climate model to use. - values: - - [ifs-fesom, Integrated Forecast System - FESOM] - - activity: - category: data - type: enum - values: - - [story-nudging, ] - - experiment: - category: data - type: enum - values: - - [tplus2.0k, ] - - generation: - category: data - type: enum - values: - - [1, ] - - realization: - category: data - type: integer - values: - - [1, ] - - resolution: - category: data - type: enum - values: - - [standard, ] - -####################################################################### - -_observation: &_observation - - obstype: - category: data - type: any - multiple: true - - obsgroup: - category: data - type: any - multiple: true - -####################################################################### - -_postproc: &_postproc - - accuracy: - category: postproc - flatten: false - type: [enum, integer] - values: - - [av] - - ['off', normal, auto] - - bitmap: - category: postproc - flatten: false - type: any - - format: - category: postproc - flatten: false - type: enum - values: - - - grib - - grib1 - - gb - - - grib2 - - - bufr - - bf - - - grid - - gd - - odb - - ascii - - frame: - category: postproc - type: integer - - gaussian: - category: postproc - type: enum - values: - - reduced - - regular - - area: - category: postproc - flatten: false - multiple: true - type: [float, enum] - values: - - ['off', g, global] - - [e, europe] - - grid: - category: postproc - flatten: false - multiple: true - type: [enum, float, regex] - values: - - auto - - N16 - - N24 - - N32 - - N48 - - N64 - - N80 - - N96 - - N128 - - N160 - - N200 - - N256 - - N320 - - N400 - - N512 - - N576 - - N640 - - N800 - - N1024 - - N1280 - - N1600 - - N2000 - - N4000 - - N8000 - regex: - - '^[oOfF][1-9][0-9]+$' - uppercase: true - - interpolation: - category: postproc - flatten: false - type: enum - values: - - - linear - - - nearest-lsm - - nearest lsm - - - 'off' - - default - - any - - packing: - category: postproc - flatten: false - type: enum - values: - - - so - - second order - - ['off', av] - - [co, complex] - - simple - - ccsds - - resol: - category: postproc - flatten: false - aliases: - - tra - type: [enum, integer] - values: - - - 'off' - - av - - reduced gaussian 160 - - rotation: - category: postproc - flatten: false - multiple: true - type: float - - intgrid: - category: postproc - flatten: false - type: [enum, regex] - values: - - 'off' - - auto - - N32 - - N48 - - N64 - - N80 - - N96 - - N128 - - N160 - - N192 - - N200 - - N256 - - N320 - - N400 - - N512 - - N640 - - N800 - - N912 - - N1024 - - N1280 - regex: - - '^[oOfF][1-9][0-9]+$' - - truncation: - category: postproc - flatten: false - type: [enum, integer] - values: - - auto - - 'off' -####################################################################### - -_obspproc: &_obspproc - - filter: - type: any - category: postproc - - ident: - type: any - category: postproc - - -####################################################################### - -disseminate: - <<: *_field - <<: *_postproc - - requirements: - type: any - - use: - category: data - flatten: false - multiple: true - type: enum - values: - - bc - - monday - - tuesday - - wednesday - - thursday - - friday - - saturday - - sunday - - option: - default: normal - flatten: false - multiple: true - type: enum - values: - - normal - - delay - - asap - - gts - - opendata - - compatibility: - category: postproc - flatten: false - multiple: true - type: enum - values: - - 'off' - - 'no-local-extension' - - priority: - flatten: false - type: integer - - target: - flatten: false - type: any - -############################################################## - -archive: - <<: *_field - <<: *_observation - - - database: - flatten: false - multiple: true - type: any - - source: - flatten: false - multiple: true - type: any - - expect: - flatten: false - multiple: false - type: integer - -############################################################## - -retrieve: - - <<: *_field - <<: *_observation - <<: *_postproc - <<: *_obspproc - - target: - flatten: false - multiple: true - type: any - - expect: - flatten: false - multiple: false - type: integer - - fieldset: - flatten: false - multiple: false - type: any - - database: - flatten: false - multiple: true - type: any - - optimise: - type: enum - values: - - true - - false - default: - "off" - - padding: - flatten: false - type: enum - values: - - none - - auto - -############################################################## - -read: - source: - flatten: false - multiple: true - type: any - - <<: *_field - <<: *_observation - <<: *_postproc - <<: *_obspproc - - target: - flatten: false - multiple: true - type: any - - fieldset: - flatten: false - multiple: false - type: any - - _defaults: - class: null - date: null - domain: null - expver: null - levelist: null - levtype: null - param: null - step: null - stream: null - time: null - type: null - - _options: - param: - # expand_with: # In case not type/stream/levtype is provided - # type: an - # stream: oper - # levtype: pl - first_rule: true -############################################################## - -get: - - tape: - flatten: false - multiple: false - type: any - - database: - flatten: false - multiple: true - type: any - - target: - flatten: false - multiple: true - type: any - -############################################################## - -list: - - <<: *_field - <<: *_observation - - database: - flatten: false - multiple: true - type: any - - target: - flatten: false - multiple: true - type: any - - _defaults: - # class: null - date: null - domain: null - expver: null - levelist: null - levtype: null - param: null - step: null - stream: null - time: null - type: null - -############################################################## - -compute: - formula: - flatten: false - multiple: false - type: any - - fieldset: - flatten: false - multiple: false - type: any - -############################################################## - -write: - - fieldset: - flatten: false - multiple: false - type: any - - target: - flatten: false - multiple: true - type: any - -############################################################## - -pointdb: - lat: - multiple: false - type: float - - lon: - multiple: false - type: float - - <<: *_field - - _defaults: - class: null - date: null - domain: null - expver: null - levelist: null - levtype: null - param: null - step: null - stream: null - time: null - type: null - - _options: - param: - # expand_with: # In case not type/stream/levtype is provided - # type: an - # stream: oper - # levtype: pl - first_rule: true - -end: {} diff --git a/backend/dockerfile b/backend/dockerfile deleted file mode 100644 index b889732..0000000 --- a/backend/dockerfile +++ /dev/null @@ -1,9 +0,0 @@ -FROM python:3.12-slim - -WORKDIR /app - -COPY . . - -RUN pip install -r requirements.txt - -CMD ["fastapi", "run", "main.py"] \ No newline at end of file diff --git a/backend/fdb_schema/__init__.py b/backend/fdb_schema/__init__.py deleted file mode 100644 index 56160a5..0000000 --- a/backend/fdb_schema/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .fdb_schema_parser import FDBSchema, FDBSchemaFile, KeySpec, Key diff --git a/backend/fdb_schema/fdb_schema_parser.py b/backend/fdb_schema/fdb_schema_parser.py deleted file mode 100644 index 852c1bb..0000000 --- a/backend/fdb_schema/fdb_schema_parser.py +++ /dev/null @@ -1,375 +0,0 @@ -import dataclasses -import json -from dataclasses import dataclass, field -from typing import Any - -import pe -from pe.actions import Pack -from pe.operators import Class, Star - -from .fdb_types import FDB_type_to_implementation, FDBType - - -@dataclass(frozen=True) -class KeySpec: - """ - Represents the specification of a single key in an FDB schema file. For example in - ``` - [ class, expver, stream=lwda, date, time, domain? - [ type=ofb/mfb/oai - [ obsgroup, reportype ]]] - ``` - class, expver, type=ofdb/mfb/oai etc are the KeySpecs - - These can have additional information such as: flags like `domain?`, allowed values like `type=ofb/mfb/oai` - or specify type information with `date: ClimateMonthly` - - """ - - key: str - type: FDBType = field(default_factory=FDBType) - flag: str | None = None - values: tuple = field(default_factory=tuple) - comment: str = "" - - def __repr__(self): - repr = self.key - if self.flag: - repr += self.flag - # if self.type: - # repr += f":{self.type}" - if self.values: - repr += "=" + "/".join(self.values) - return repr - - def matches(self, key, value): - # Sanity check! - if self.key != key: - return False - - # Some keys have a set of allowed values type=ofb/mfb/oai - if self.values: - if value not in self.values: - return False - - # Check the formatting of values like Time or Date - if self.type and not self.type.validate(value): - return False - - return True - - def is_optional(self): - if self.flag is None: - return False - return "?" in self.flag - - def is_allable(self): - if self.flag is None: - return False - return "*" in self.flag - - -@dataclass(frozen=True) -class Comment: - "Represents a comment node in the schema" - - value: str - - -@dataclass(frozen=True) -class FDBSchemaTypeDef: - "Mapping between FDB schema key names and FDB Schema Types, i.e expver is of type Expver" - - key: str - type: str - - -# This is the schema grammar written in PEG format -fdb_schema = pe.compile( - r""" - FDB < Line+ EOF - Line < Schema / Comment / TypeDef / empty - - # Comments - Comment <- "#" ~non_eol* - non_eol <- [\x09\x20-\x7F] / non_ascii - non_ascii <- [\x80-\uD7FF\uE000-\U0010FFFF] - - # Default Type Definitions - TypeDef < String ":" String ";" - - # Schemas are the main attraction - # They're a tree of KeySpecs. - Schema < "[" KeySpecs (","? Schema)* "]" - - # KeySpecs can be just a name i.e expver - # Can also have a type expver:int - # Or a flag expver? - # Or values expver=xxx - KeySpecs < KeySpec_ws ("," KeySpec_ws)* - KeySpec_ws < KeySpec - KeySpec <- key:String (flag:Flag)? (type:Type)? (values:Values)? ([ ]* comment:Comment)? - Flag <- ~("?" / "-" / "*") - Type <- ":" [ ]* String - Values <- "=" Value ("/" Value)* - - # Low level stuff - Value <- ~([-a-zA-Z0-9_]+) - String <- ~([a-zA-Z0-9_]+) - EOF <- !. - empty <- "" - """, - actions={ - "Schema": Pack(tuple), - "KeySpec": KeySpec, - "Values": Pack(tuple), - "Comment": Comment, - "TypeDef": FDBSchemaTypeDef, - }, - ignore=Star(Class("\t\f\r\n ")), - # flags=pe.DEBUG, -) - - -def post_process(entries): - "Take the raw output from the PEG parser and split it into type definitions and schema entries." - typedefs = {} - schemas = [] - for entry in entries: - match entry: - case c if isinstance(c, Comment): - pass - case t if isinstance(t, FDBSchemaTypeDef): - typedefs[t.key] = t.type - case s if isinstance(s, tuple): - schemas.append(s) - case _: - raise ValueError - return typedefs, tuple(schemas) - - -def determine_types(types, node): - "Recursively walk a schema tree and insert the type information." - if isinstance(node, tuple): - return [determine_types(types, n) for n in node] - return dataclasses.replace(node, type=types.get(node.key, FDBType())) - - -@dataclass -class Key: - key: str - value: Any - key_spec: KeySpec - reason: str - - def str_value(self): - return self.key_spec.type.format(self.value) - - def __bool__(self): - return self.reason in {"Matches", "Skipped", "Select All"} - - def emoji(self): - return {"Matches": "✅", "Skipped": "⏭️", "Select All": "★"}.get( - self.reason, "❌" - ) - - def info(self): - return f"{self.emoji()} {self.key:<12}= {str(self.value):<12} ({self.key_spec}) {self.reason if not self else ''}" - - def __repr__(self): - return f"{self.key}={self.key_spec.type.format(self.value)}" - - def as_json(self): - return dict( - key=self.key, - value=self.str_value(), - reason=self.reason, - ) - - -class FDBSchema: - """ - Represents a parsed FDB Schema file. - Has methods to validate and convert request dictionaries to a mars request form with validation and type information. - """ - - def __init__(self, string, defaults: dict[str, str] = {}): - """ - 1. Use a PEG parser on a schema string, - 2. Separate the output into schemas and typedefs - 3. Insert any concrete implementations of types from fdb_types.py defaulting to generic string type - 4. Walk the schema tree and annotate it with type information. - """ - m = fdb_schema.match(string) - g = list(m.groups()) - self._str_types, schemas = post_process(g) - self.types = { - key: FDB_type_to_implementation[type] - for key, type in self._str_types.items() - } - self.schemas = determine_types(self.types, schemas) - self.defaults = defaults - - def __repr__(self): - return json.dumps( - dict(schemas=self.schemas, defaults=self.defaults), indent=4, default=repr - ) - - @classmethod - def consume_key( - cls, key_spec: KeySpec, request: dict[str, Any] - ) -> Key: - key = key_spec.key - try: - value = request[key] - except KeyError: - if key_spec.is_optional(): - return Key(key_spec.key, "", key_spec, "Skipped") - if key_spec.is_allable(): - return Key(key_spec.key, "", key_spec, "Select All") - else: - return Key( - key_spec.key, "", key_spec, "Key Missing" - ) - - if key_spec.matches(key, value): - return Key( - key_spec.key, - key_spec.type.parse(value), - key_spec, - "Matches", - ) - else: - return Key( - key_spec.key, value, key_spec, "Incorrect Value" - ) - - @classmethod - def _DFS_match( - cls, tree: list, request: dict[str, Any] - ) -> tuple[bool | list, list[Key]]: - """Do a DFS on the schema tree, returning the deepest matching path - At each stage return whether we matched on this path, and the path itself. - - When traversing the tree there are three cases to consider: - 1. base case [] - 2. one schema [k, k, k, [k, k, k]] - 3. list of schemas [[k,k,k], [k,k,k], [k,k,k]] - """ - # Case 1: Base Case - if not tree: - return True, [] - - # Case 2: [k, k, k, [k, k, k]] - if isinstance(tree[0], KeySpec): - node, *tree = tree - # Check if this node is in the request - match_result = cls.consume_key(node, request) - - # If if isn't then terminate this path here - if not match_result: - return False, [match_result,] # fmt: skip - - # Otherwise continue walking the tree and return the best result - matched, path = cls._DFS_match(tree, request) - - # Don't put the key in the path if it's optional and we're skipping it. - if match_result.reason != "Skipped": - path = [match_result,] + path # fmt: skip - - return matched, path - - # Case 3: [[k, k, k], [k, k, k]] - branches = [] - for branch in tree: - matched, branch_path = cls._DFS_match(branch, request) - - # If this branch matches, terminate the DFS and use this. - if matched: - return branch, branch_path - else: - branches.append(branch_path) - - # If no branch matches, return the one with the deepest match - return False, max(branches, key=len) - - @classmethod - def _DFS_match_all( - cls, tree: list, request: dict[str, Any] - ) -> list[list[Key]]: - """Do a DFS on the schema tree, returning all matching paths or partial matches. - At each stage return all matching paths and the deepest partial matches. - - When traversing the tree there are three cases to consider: - 1. base case [] - 2. one schema [k, k, k, [k, k, k]] - 3. list of schemas [[k,k,k], [k,k,k], [k,k,k]] - """ - # Case 1: Base Case - if not tree: - return [[]] - - # Case 2: [k, k, k, [k, k, k]] - if isinstance(tree[0], KeySpec): - node, *tree = tree - # Check if this node is in the request - request_values = request.get(node.key, None) - - if request_values is None: - # If the key is not in the request, return a partial match with Key Missing - return [[Key(node.key, "", node, "Key Missing")]] - - # If the request value is a list, try to match each value - if isinstance(request_values, list): - all_matches = [] - for value in request_values: - match_result = cls.consume_key(node, {node.key: value}) - - if match_result: - sub_matches = cls._DFS_match_all(tree, request) - for match in sub_matches: - if match_result.reason != "Skipped": - match.insert(0, match_result) - all_matches.append(match) - - return all_matches if all_matches else [[Key(node.key, "", node, "No Match Found")]] - else: - # Handle a single value - match_result = cls.consume_key(node, request) - - # If it isn't then return a partial match with Key Missing - if not match_result: - return [[Key(node.key, "", node, "Key Missing")]] - - # Continue walking the tree and get all matches - all_matches = cls._DFS_match_all(tree, request) - - # Prepend the current match to all further matches - for match in all_matches: - if match_result.reason != "Skipped": - match.insert(0, match_result) - - return all_matches - - # Case 3: [[k, k, k], [k, k, k]] - all_branch_matches = [] - for branch in tree: - branch_matches = cls._DFS_match_all(branch, request) - all_branch_matches.extend(branch_matches) - - # Return all of the deepest partial matches or complete matches - return all_branch_matches - - def match_all(self, request: dict[str, Any]): - request = request | self.defaults - return self._DFS_match_all(self.schemas, request) - - def match(self, request: dict[str, Any]): - request = request | self.defaults - return self._DFS_match(self.schemas, request) - - -class FDBSchemaFile(FDBSchema): - def __init__(self, path: str): - with open(path, "r") as f: - return super().__init__(f.read()) diff --git a/backend/fdb_schema/fdb_types.py b/backend/fdb_schema/fdb_types.py deleted file mode 100644 index 05093db..0000000 --- a/backend/fdb_schema/fdb_types.py +++ /dev/null @@ -1,83 +0,0 @@ -from dataclasses import dataclass -from typing import Any -import re -from collections import defaultdict -from datetime import datetime, date, time - - -@dataclass(repr=False) -class FDBType: - """ - Holds information about how to format and validate a given FDB Schema type like Time or Expver - This base type represents a string and does no validation or formatting. It's the default type. - """ - - name: str = "String" - - def __repr__(self) -> str: - return self.name - - def validate(self, s: Any) -> bool: - try: - self.parse(s) - return True - except (ValueError, AssertionError): - return False - - def format(self, s: Any) -> str: - return str(s).lower() - - def parse(self, s: str) -> Any: - return s - - -@dataclass(repr=False) -class Expver_FDBType(FDBType): - name: str = "Expver" - - def parse(self, s: str) -> str: - assert bool(re.match(".{4}", s)) - return s - - -@dataclass(repr=False) -class Time_FDBType(FDBType): - name: str = "Time" - time_format = "%H%M" - - def format(self, t: time) -> str: - return t.strftime(self.time_format) - - def parse(self, s: datetime | str | int) -> time: - if isinstance(s, str): - assert len(s) == 4 - return datetime.strptime(s, self.time_format).time() - if isinstance(s, datetime): - return s.time() - return self.parse(f"{s:04}") - - -@dataclass(repr=False) -class Date_FDBType(FDBType): - name: str = "Date" - date_format: str = "%Y%m%d" - - def format(self, d: Any) -> str: - if isinstance(d, date): - return d.strftime(self.date_format) - if isinstance(d, int): - return f"{d:08}" - else: - return d - - def parse(self, s: datetime | str | int) -> date: - if isinstance(s, str): - return datetime.strptime(s, self.date_format).date() - elif isinstance(s, datetime): - return s.date() - return self.parse(f"{s:08}") - - -FDB_type_to_implementation = defaultdict(lambda: FDBType()) | { - cls.name: cls() for cls in [Expver_FDBType, Time_FDBType, Date_FDBType] -} diff --git a/backend/language.yaml b/backend/language.yaml deleted file mode 100644 index 50d793f..0000000 --- a/backend/language.yaml +++ /dev/null @@ -1,1232 +0,0 @@ ---- -_field: &_field - - foo: - description: A foo field - values: - - bar - - baz - - class: - description: Class selects the main category of data to be retrieved such as operational, research or AIFS - category: data - default: od - flatten: false - type: enum - values: - - [ai, operational aifs] - # - [at, austria] - # - [be, belgium] - # - [c3, c3s] - # - [ce, cems] - # - [ch, switzerland] - # - [ci, cerise] - # - [co, cosmo] - # - [cr, cams research] - # - [cs, ecsn] - # - [d1, destine] - # - [de, germany] - # - [dk, denmark] - # - [dm, demeter] - # - [dt, dts] - # - [e2, e20c] - # - [e4, reanalyse40] - # - [e6, era6] - # - [ea, era5, esat] - # - [ed, eerie] - # - [ef, efas] - # - [ei, era interim] - # - [el, eldas] - # - [em, e20cm] - # - [en, ensembles] - # - [ep, cera-20c, cera20c] - # - [er, reanalyse] - # - [es, spain] - # - [et, cera-sat, cerasat] - # - [fi, finland] - # - [fr, france] - # - [gf, glofas] - # - [gg, greenhouse gases] - # - [gr, greece] - # - [gw, global wildfire information system] - # - [hr, croatia] - # - [hu, hungary] - # - [ie, ireland] - # - [is, iceland] - # - [it, italy] - # - [j5, jra55] - # - [l5, era5l] - # - [l6, era6l] - # - [la, aladin-laef, laef, lace] - # - [lw, WMO lead centre wave forecast verification] - # - [ma, metaps] - # - [mc, macc] - # - [me, mersea] - # - [ml, machine learning] - # - [ms, member states] - # - [nl, netherlands] - # - ['no', norway] - # - [nr, ncep 20cr, 20cr] - # - [o6, 'ocean 6 reanalysis'] - - [od, operations] - # - [pe, permanent experiment] - # - [pt, portugal] - # - [pv, provost] - - [rd, research] - # - [rm, euro4m] - # - [rr, regional reanalysis] - # - [s2, s2s] - # - [se, sweden] - # - [si, slovenia] - # - [sr, sreps] - # - [te, test] - # - [to, tost] - # - [tr, turkey] - # - [uk, united kingdom] - # - [ul, ulysses] - # - [ur, uerra] - # - [yp, yopp] - # - [yt, yotc] - - type: - category: data - default: an - flatten: false - type: enum - multiple: true - values: - # - [3g, 3d variational gradients] - # - [3v, 3d variational analysis] - # - [4g, 4d variational gradients] - # - [4i, 4d variational increments] - # - [4v, 4d variational analysis] - # - [ab, analysis bias] - # - [af, analysis feedback] - # - [ai, analysis input] - # - [an, analysis] - # - [as, adjoint singular vector] - # - [bf, bias-corrected forecast] - # - [cd, climate distribution] - # - [cf, control forecast] - # - [ci, clustering information] - # - [cl, climatology] - # - [cm, cluster means] - # - [cr, cluster representative] - # - [cs, cluster std deviations] - # - [cv, calibration validation forecast] - # - [ea, errors in analysis] - # - [ed, empirical distribution] - # - [ef, errors in first guess] - # - [efi, extreme forecast index] - # - [efic, extreme forecast index control] - # - [em, ensemble mean] - # - [eme, ensemble data assimilation model errors] - # - [emtm, ensemble mean of temporal mean] - # - [ep, event probability] - # - [es, ensemble standard deviation] - # - [est, ensemble statistics] - # - [estdtm, ensemble standard deviation of temporal mean] - # - [fa, forecast accumulation] - # - [fb, feedback] - - [fc, forecast] - # - [fcdfb, forecast departures feedback] - # - [fcmax, forecast maximum] - # - [fcmean, forecast mean] - # - [fcmin, forecast minimum] - # - [fcstdev, forecast standard deviation] - # - [ff, flux forcing realtime] - # - [fg, first guess] - # - [fp, forecast probability] - # - [fsoifb, forecast sensitivity to observations impact feedback] - # - [fu, fill-up] - # - [fx, flux forcing] - # - [ga, gfas analysis] - # - [gbf, bias-corrected gridbox] - # - [gai, gridded analysis input] - # - [go, gridded observations] - # - [gsd, gridded satellite data] - # - [gwt, weather type gridbox] - # - [hcmean, hindcast mean] - # - [ia, init. analysis] - # - [icp, initial condition perturbation] - # - [mpp, model physics perturbation] - # - [if, interim forecast] - # - [im, images] - # - [me, model errors] - # - [mfb, mondb feedback] - # - [oai, odb analysis input] - # - [ob, observations] - # - [of, ocean forward] - # - [ofb, odb feedback] - # - [oi, oi analysis] - # - [oldim, old format images] - # - [or, ocean reanalysis] - # - [pa, perturbed analysis] - # - [pb, probability boundary] - # - [pd, probability distribution] - - [pf, perturbed forecast] - # - [pfc, point values] - # - [ppm, point value metrics] - # - [s3, climate 30 days simulation] - # - [ses, scaled ensemble standard deviation] - # - [sf, sensitivity forecast] - # - [sfb, summary feedback] - # - [sfo, simulations with forcing] - # - [sg, sensitivity gradient] - # - [si, climate simulation] - # - [sim, simulated images] - # - [sot, shift of tails] - # - [ssd, simulated satellite data] - # - [sv, singular vector] - # - [svar, signal variance] - # - [taem, time average ensemble mean] - # - [taes, time average ensemble standard deviation] - # - [tpa, time processed analysis] - # - [tf, trajectory forecast] - # - [tu, tube] - # - [wem, weighted ensemble mean] - # - [wes, weighted ensemble standard deviation] - # - [wp, weather parameters] - - stream: - description: Stream selects the kind of data to be retrieved, for example the forecast model or the ensemble model. - category: data - default: oper - flatten: false - type: enum - values: - # - [amap, analysis for multianalysis project] - # - [ammc, melbourne] - # - [cher, ch, chernobyl] - # - [clte, climate, Climate run output] - # - [clmn, climate-monthly, Climate run monthly means output] - # - [cnrm, meteo france climate centre] - # - [cwao, montreal] - # - [dacl, daily climatology] - # - [dacw, daily climatology wave] - # - [dahc, daily archive hindcast] - # - [dcda, atmospheric model (delayed cutoff)] - # - [dcwv, wave model (delayed cutoff)] - # - [edmm, ensemble data assimilation monthly means] - # - [edmo, ensemble data assimilation monthly means of daily means] - # - [edzw, offenbach] - # - [eefh, extended ensemble forecast hindcast] - # - [eefo, extended ensemble prediction system] - # - [eehs, extended ensemble forecast hindcast statistics] - # - [efas, european flood awareness system (efas)] - # - [efcl, european flood awareness system (efas) climatology] - # - [efhc, ensemble forecast hindcasts (obsolete)] - # - [efho, ensemble forecast hindcast overlap] - # - [efhs, ensemble forecast hindcast statistics] - # - [efov, ensemble forecast overlap] - # - [efrf, european flood awareness system (efas) reforecasts] - # - [efse, european flood awareness system (efas) seasonal forecasts] - # - [efsr, european flood awareness system (efas) seasonal reforecasts] - # - [egrr, exeter, bracknell] - # - [ehmm, combined multi-model hindcast monthly means] - # - [elda, ensemble long window data assimilation] - # - [enda, ensemble data assimilation] - # - [enfh, ensemble forecast hindcasts] - - [enfo, ef, ensemble prediction system] - # - [enwh, ensemble forecast wave hindcasts] - # - [esmm, combined multi-model monthly means] - # - [espd, ensemble supplementary data] - # - [ewda, ensemble wave data assimilation] - # - [ewhc, wave ensemble forecast hindcast (obsolete)] - # - [ewho, ensemble forecast wave hindcast overlap] - # - [ewla, ensemble wave long window data assimilation] - # - [ewmm, ensemble wave data assimilation monthly means] - # - [ewmo, ensemble wave data assimilation monthly means of daily means] - # - [fgge, fg] - # - [fsob, forecast sensitivity to observations] - # - [fsow, forecast sensitivity to observations wave] - # - [gfas, global fire assimilation system] - # - [gfra, global fire assimilation system reanalysis] - # - [kwbc, washington] - # - [lfpw, paris, toulouse] - # - [lwda, long window daily archive] - # - [lwwv, long window wave] - # - [ma, means archive] - # - [maed, multianalysis ensemble data] - # - [mawm, wave anomaly means] - # - [mawv, multianalysis wave data] - # - [mdfa, monthly means of daily forecast accumulations] - # - [mfam, anomaly means] - # - [mfaw, wave anomalies] - # - [mfhm, hindcast means] - # - [mfhw, monthly forecast hindcasts wave] - # - [mfwm, wave real-time means] - # - [mhwm, wave hindcast means] - # - [mmaf, multi-model multi-annual forecast] - # - [mmam, multi-model multi-annual forecast means] - # - [mmaw, multi-model multi-annual forecast wave] - # - [mmsa, multi-model seasonal forecast monthly anomalies] - # - [mmsf, multi-model seasonal forecast] - # - [mmwm, multi-model multi-annual forecast wave means] - # - [mnfa, anomalies] - # - [mnfc, real-time] - # - [mnfh, hindcasts] - # - [mnfm, real-time means] - # - [mnfw, wave real-time] - # - [mnth, mo, monthly, monthly means] - # - [mnvr, monthly variance and covariance data using g. boer's step function] - # - [moda, monthly means of daily means] - # - [mofc, monthly forecast] - # - [mofm, monthly forecast means] - # - [monr, monthly means using g. boer's step function] - # - [mpic, max plank institute] - # - [msda, monthly standard deviation and covariance of daily means] - # - [msdc, mv, monthly standard deviation and covariance] - # - [msmm, multi-model seasonal forecast atmospheric monthly means] - # - [mswm, multi-model seasonal forecast wave monthly means] - # - [ocda, ocean data assimilation] - # - [ocea, ocean] - # - [olda, ocean Long window data assimilation] - - [oper, da, daily archive, atmospheric model] - # - [rjtd, tokyo] - # - [scda, atmospheric model (short cutoff)] - # - [scwv, wave model (short cutoff)] - # - [seap, sensitive area prediction] - # - [seas, seasonal forecast] - # - [sens, sf, sensitivity forecast] - # - [sfmm, seasonal forecast atmospheric monthly means] - # - [smma, seasonal monthly means anomalies] - # - [supd, sd, deterministic supplementary data] - # - [swmm, seasonal forecast wave monthly means] - # - [toga, tg] - # - [ukmo, ukmo climate centre] - # - [waef, we, wave ensemble forecast] - # - [wamd, wave monthly means of daily means] - # - [wamf, wave monthly forecast] - # - [wamo, wave monthly means] - # - [wams, multi-model seasonal forecast wave] - # - [wasf, wave seasonal forecast] - # - [wave, wv, wave model] - # - [wavm, wave model (standalone)] - # - [weef, wave extended ensemble forecast] - # - [weeh, wave extended ensemble forecast hindcast] - # - [wees, wave extended ensemble forecast hindcast statistics] - # - [wehs, wave ensemble forecast hindcast statistics] - # - [weov, wave ensemble forecast overlap] - # - [wfas, global flood awareness system (glofas)] - # - [wfcl, global flood awareness system (glofas) climatology] - # - [wfrf, global flood awareness system (glofas) reforecasts] - # - [wfse, global flood awareness system (glofas) seasonal forecasts] - # - [wfsr, global flood awareness system (glofas) seasonal reforecasts] - # - [wmfm, wave monthly forecast means] - # - [wvhc, wave hindcast] - expver: - description: Experiment number, 0001 is operational data. - category: data - default: '0001' - flatten: false - type: enum - values: - - ['0001', 'Operational Data'] - - ['xxxx', 'Experimental Data'] - - dataset: - # flatten: false - multiple: true - type: any - - model: - category: data - type: lowercase - - repres: - flatten: false - multiple: true - type: enum - values: - - gg - - sh - - ll - - np - - rl - - obsgroup: - category: data - multiple: true - type: enum - values: - # - [conventional] - - [sat, satellite] - - [ers1] - - [trmm] - - [qscat] - - [reo3] # reo3 needs to stay for compatibility - # previously in "obsgroups.def" - - [hirs, 1, HIRS ] - - [amsua, 2, AMSUA ] - - [amsub, 3, AMSUB ] - - [mhs, 4, MHS ] - - [geos, 5, GEOS ] - - [resat, 6, RESAT ] - - [meris, 7, MERIS ] - - [gpsro, 8, GPSRO ] - - [satob, 9, SATOB ] - - [scatt, 10, SCATT ] - - [ssmi_as, 11, SSMI ALL-SKY ] - - [iasi, 12, IASI ] - - [airs, 13, AIRS ] - - [ssmis_as, 14, SSMIS ALL-SKY ] - - [tmi_as, 15, TMI ALL-SKY ] - - [amsre_as, 16, AMSRE ALL-SKY ] - - [conv, 17, CONV ] - - [smos, 19, SMOS ] - - [windsat_as, 20, WINDSAT ALL-SKY ] - - [ssmi, 21, SSMI ] - - [amsua_as, 22, AMSUA ALL-SKY ] - - [amsre, 23, AMSRE ] - - [tmi, 24, TMI ] - - [ssmis, 25, SSMIS ] - - [gbrad, 26, GBRAD ] - - [mwhs, 27, MWHS ] - - [mwts, 28, MWTS ] - - [mwri_as, 29, MWRI ALL-SKY ] - - [iras, 30, IRAS ] - - [msu, 31, MSU ] - - [ssu, 32, SSU ] - - [vtpr1, 33, VTPR1 ] - - [vtpr2, 34, VTPR2 ] - - [atms, 35, ATMS ] - - [resat_ak, 36, RESAT AVERAGING KERNELS ] - - [cris, 37, CRIS ] - - [wave_ip, 38, WAVE INTEGRATED PARAMETERS ] - - [wave_sp, 39, WAVE SPECTRA ] - - [raingg, 40, RAINGG ] - - [sfc_ms, 41, SURFACE MULTISENSOR ] - - [amsr2_as, 42, AMSR-2 ALL-SKY ] - - [saphir_as, 43, SAPHIR ALL-SKY ] - - [amsub_as, 44, AMSUB ALL-SKY ] - - [mhs_as, 45, MHS ALL-SKY ] - - [dwl, 46, DOPPLER WIND LIDAR ] - - [iris, 47, IRIS ] - - [aatsr, 49, AATSR ] - - [atms_as, 50, ATMS ALL-SKY ] - - [gmi_as, 51, GMI ALL-SKY ] - - [godae_sst, 52, GODAE SEA SURFACE TEMPERATURES ] - - [atovs_ms, 53, ATOVS MULTISENSOR ] - - [atmospheric_composition, 54, ATMOSPHERIC COMPOSITION ] - - [non_sfc_ms, 55, NON-SURFACE MULTISENSOR ] - - [mwts2, 56, MWTS2 ] - - [ssmi_1d, 57, SSMI 1DVAR TCWV CLOUDY-SKY ] - - [mwhs2_as, 58, MWHS2 ALL-SKY ] - - [ssmt2, 59, SSMT2 ] - - [smap, 60, SMAP ] - - [tovs_ms, 61, TOVS MULTISENSOR ] - - [cloud_r, 62, CLOUD REFLECTIVITY ] - - [cloud_l, 63, CLOUD LIDAR ] - - [satellite_lightning, 64, SATELLITE LIGHTNING ] - - [geos_vis, 65, GEOS VIS ] - - [oconv, 66, OCONV ] - - [mwts3_as, 67, MWTS3 All-sky ] - - [giirs, 68, GIIRS ] - - [test, 99, TEST ] - - reportype: - category: data - type: any - multiple: true - - # rdbprefix - - levtype: - description: The Level Type, can be pressure levels, the surface, model levels etc. - category: data - default: pl - flatten: false - type: enum - values: - # - [cat, category] - # - [dp, depth] - # - [layer] - # - [ml, model levels] - - [pl, pressure levels] - # - [hl, height levels] - # - [pt, potential temperature] - # - [pv, potential vorticity] - - [sfc, surface] - # - [sol, surface other (multi)levels] - # - [wv, ocean wave] - # - [o2d, ocean surface] - # - [o3d, ocean model levels] - never: - - type: ssd - - levelist: - category: data - multiple: true - by: 1 - default: - - 1000 - - 850 - - 700 - - 500 - - 400 - - 300 - never: - - levtype: [sfc, o2d] - - type: ssd - type: to-by-list-float - - param: - category: data - default: 129 - multiple: true - type: param - never: - - type: [tf, ob] - -################################################################# - - # year - # decade - # month - - date: - category: data - default: 0 - type: date - multiple: true - - year: - category: data - type: to-by-list - multiple: true - by: 1 - - month: - category: data - flatten: true - type: enum - multiple: true - values: - - [1, jan, January] - - [2, feb, February] - - [3, mar, March] - - [4, apr, April] - - [5, may, May] - - [6, jun, June] - - [7, jul, July] - - [8, aug, August] - - [9, sep, September] - - [10, oct, October] - - [11, nov, November] - - [12, dec, December] - - # verify - # refdate - - hdate: - category: data - multiple: true - only: - - stream: - - enfh - - enwh - - efho - - ehmm - - ewho - - eefh - - weeh - type: integer - - offsetdate: - category: data - multiple: true - type: date - - fcmonth: - category: data - multiple: true - by: 1 - type: to-by-list - - fcperiod: - category: data - multiple: true - type: integer - - time: - category: data - default: '1200' - multiple: true - type: time - - offsettime: - category: data - multiple: true - type: time - - # leadtime - # opttime - # range - - step: - description: Specify which forecast we want in hours past the date/time. - category: data - multiple: true - by: 12 - default: 0 - type: range - never: - - dataset: - - climate-dt - - stream: - - msmm - - mmsa - - swmm - - anoffset: - category: data - multiple: true - type: integer - - reference: - category: data - multiple: true - type: integer - -################################################################# - - # cluster - # probability - - number: - description: Selects a subset of ensemble members - category: data - multiple: true - aliases: - - ensemble - by: 1 - only: - - type: [pf, cr, cm, fcmean, fcmin, fcmax, fcstdev, sot, fc, wp, 4i, 4v] - never: - # This is to prevent number with type=fc and stream=oper - - stream: [oper, wave] - type: to-by-list - - quantile: - category: data - multiple: true - only: - - type: - - pd - - pb - - taem - - cd - # - sot - type: to-by-list-quantile - denominators: [2,3,4,5,10,100,1000] - by: 1 - domain: - description: The large scale geographic region. - category: data - default: g - flatten: false - type: enum - never: - - dataset: - - climate-dt - values: - # - [a, north west europe] - # - [b, north east europe, baltic and black sea] - - [c, south west europe] - - [d, south east europe] - - [e, europe] - # - [f, fastex] - - [g, globe, general european area] - # - [h] - # - [i] - # - [j] - # - [k] - # - [l] - # - [m, mediterranean] - # - ['n', northern hemisphere] - # - [o] - # - [p] - # - [q] - # - [r] - # - [s, southern hemisphere] - # - [t, tropics] - # - [u, tropics 2] - # - [v] - # - [w, western atlantic] - # - [x] - # - ['y'] - # - [z] - - frequency: - category: data - multiple: true - by: 1 - only: - - param: - - '140251' - type: to-by-list - - direction: - category: data - multiple: true - by: 1 - only: - - param: - - '140251' - type: to-by-list - - diagnostic: - category: data - type: integer - multiple: true - - iteration: - category: data - type: integer - multiple: true - - channel: - category: data - only: - - type: ssd - type: integer - multiple: true - - ident: - category: data - only: - - type: ssd - type: integer - multiple: true - - instrument: - category: data - only: - - type: ssd - type: integer - multiple: true - - method: - category: data - type: integer - - origin: - category: data - multiple: true - type: enum - values: - - [ammc, 1, melbourne] - - [babj, 38, beijing] - - [cmcc] - - [cnmc, 80] - - [consensus, 255] - - [crfc, 239, cerfacs] - - [cwao, 54, montreal] - - [ecmf, 98, ecmwf] - - [edzw, dwd, 78, offenbach] - - [egrr, 74, exeter, bracknell] - - [enmi, 88, oslo] - - [fnmo, fnmoc, 58, fleet numerical] - - [hadc, 247, hadley centre] - - [ifmk, 246] - - [ingv, 235] - - [knmi, 245] - - [kwbc, 7, washington] - - [lemm, 214, madrid] - - [lfpw, 84, 85, paris, toulouse] - - [rjtd, 34, tokyo] - - [rksl, 40, seoul] - - [sbsj, 46, cptec] - - [vuwien, 244, university of vienna] - - system: - category: data - type: integer - -####################################################################### -# DestinE ClimateDT related keywords - - activity: - category: data - type: lowercase - - experiment: - category: data - type: lowercase - - generation: - category: data - type: integer - - realization: - category: data - type: integer - - resolution: - category: data - type: lowercase - -####################################################################### - -_observation: &_observation - - obstype: - category: data - type: any - multiple: true - - obsgroup: - category: data - type: any - multiple: true - -####################################################################### - -_postproc: &_postproc - - accuracy: - category: postproc - flatten: false - type: [enum, integer] - values: - - [av] - - ['off', normal, auto] - - bitmap: - category: postproc - flatten: false - type: any - - format: - category: postproc - flatten: false - type: enum - values: - - - grib - - grib1 - - gb - - - grib2 - - - bufr - - bf - - - grid - - gd - - odb - - ascii - - frame: - category: postproc - type: integer - - gaussian: - category: postproc - type: enum - values: - - reduced - - regular - - area: - category: postproc - flatten: false - multiple: true - type: [float, enum] - values: - - ['off', g, global] - - [e, europe] - - grid: - category: postproc - flatten: false - multiple: true - type: [enum, float, regex] - values: - - auto - - N16 - - N24 - - N32 - - N48 - - N64 - - N80 - - N96 - - N128 - - N160 - - N200 - - N256 - - N320 - - N400 - - N512 - - N576 - - N640 - - N800 - - N1024 - - N1280 - - N1600 - - N2000 - - N4000 - - N8000 - regex: - - '^[oOfF][1-9][0-9]+$' - uppercase: true - - interpolation: - category: postproc - flatten: false - type: enum - values: - - - linear - - - nearest-lsm - - nearest lsm - - - 'off' - - default - - any - - packing: - category: postproc - flatten: false - type: enum - values: - - - so - - second order - - ['off', av] - - [co, complex] - - simple - - ccsds - - resol: - category: postproc - flatten: false - aliases: - - tra - type: [enum, integer] - values: - - - 'off' - - av - - reduced gaussian 160 - - rotation: - category: postproc - flatten: false - multiple: true - type: float - - intgrid: - category: postproc - flatten: false - type: [enum, regex] - values: - - 'off' - - auto - - N32 - - N48 - - N64 - - N80 - - N96 - - N128 - - N160 - - N192 - - N200 - - N256 - - N320 - - N400 - - N512 - - N640 - - N800 - - N912 - - N1024 - - N1280 - regex: - - '^[oOfF][1-9][0-9]+$' - - truncation: - category: postproc - flatten: false - type: [enum, integer] - values: - - auto - - 'off' -####################################################################### - -_obspproc: &_obspproc - - filter: - type: any - category: postproc - - ident: - type: any - category: postproc - - -####################################################################### - -disseminate: - <<: *_field - <<: *_postproc - - requirements: - type: any - - use: - category: data - flatten: false - multiple: true - type: enum - values: - - bc - - monday - - tuesday - - wednesday - - thursday - - friday - - saturday - - sunday - - option: - default: normal - flatten: false - multiple: true - type: enum - values: - - normal - - delay - - asap - - gts - - opendata - - compatibility: - category: postproc - flatten: false - multiple: true - type: enum - values: - - 'off' - - 'no-local-extension' - - priority: - flatten: false - type: integer - - target: - flatten: false - type: any - -############################################################## - -archive: - <<: *_field - <<: *_observation - - - database: - flatten: false - multiple: true - type: any - - source: - flatten: false - multiple: true - type: any - - expect: - flatten: false - multiple: false - type: integer - -############################################################## - -retrieve: - - <<: *_field - <<: *_observation - <<: *_postproc - <<: *_obspproc - - target: - flatten: false - multiple: true - type: any - - expect: - flatten: false - multiple: false - type: integer - - fieldset: - flatten: false - multiple: false - type: any - - database: - flatten: false - multiple: true - type: any - - optimise: - type: enum - values: - - true - - false - default: - "off" - - padding: - flatten: false - type: enum - values: - - none - - auto - -############################################################## - -read: - source: - flatten: false - multiple: true - type: any - - <<: *_field - <<: *_observation - <<: *_postproc - <<: *_obspproc - - target: - flatten: false - multiple: true - type: any - - fieldset: - flatten: false - multiple: false - type: any - - _defaults: - class: null - date: null - domain: null - expver: null - levelist: null - levtype: null - param: null - step: null - stream: null - time: null - type: null - - _options: - param: - # expand_with: # In case not type/stream/levtype is provided - # type: an - # stream: oper - # levtype: pl - first_rule: true -############################################################## - -get: - - tape: - flatten: false - multiple: false - type: any - - database: - flatten: false - multiple: true - type: any - - target: - flatten: false - multiple: true - type: any - -############################################################## - -list: - - <<: *_field - <<: *_observation - - database: - flatten: false - multiple: true - type: any - - target: - flatten: false - multiple: true - type: any - - _defaults: - # class: null - date: null - domain: null - expver: null - levelist: null - levtype: null - param: null - step: null - stream: null - time: null - type: null - -############################################################## - -compute: - formula: - flatten: false - multiple: false - type: any - - fieldset: - flatten: false - multiple: false - type: any - -############################################################## - -write: - - fieldset: - flatten: false - multiple: false - type: any - - target: - flatten: false - multiple: true - type: any - -############################################################## - -pointdb: - lat: - multiple: false - type: float - - lon: - multiple: false - type: float - - <<: *_field - - _defaults: - class: null - date: null - domain: null - expver: null - levelist: null - levtype: null - param: null - step: null - stream: null - time: null - type: null - - _options: - param: - # expand_with: # In case not type/stream/levtype is provided - # type: an - # stream: oper - # levtype: pl - first_rule: true - -end: {} diff --git a/backend/main.py b/backend/main.py deleted file mode 100644 index 2744b06..0000000 --- a/backend/main.py +++ /dev/null @@ -1,162 +0,0 @@ -from collections import defaultdict -from typing import Any, Dict -import yaml -import os - -from fastapi import FastAPI, Request -from fastapi.middleware.cors import CORSMiddleware -from fastapi.staticfiles import StaticFiles -from fdb_schema import FDBSchemaFile -from fastapi.responses import RedirectResponse -from fastapi.templating import Jinja2Templates -import json -import yaml - -import os -os.environ["FDB5_CONFIG_FILE"] = "/home/eouser/destine_remoteFDB_config.yaml" - -import pyfdb - -fdb = pyfdb.FDB() - -app = FastAPI() -app.add_middleware( - CORSMiddleware, - allow_origins=["*"], - allow_credentials=True, - allow_methods=["*"], - allow_headers=["*"], -) - -app.mount("/app", StaticFiles(directory="./webapp"), name="static") -templates = Jinja2Templates(directory="./webapp") - -config = { - "message": "", - "fdb_schema": "standard_fdb_schema", - "mars_language": "language.yaml" -} -if os.path.exists("../config.yaml"): - with open("../config.yaml", "r") as f: - config = config | yaml.safe_load(f) - -print("Loading compressed_cache.json") -with open("../cache/compressed_cache.json", "r") as f: - list_cache = json.load(f) - - -@app.get("/") -async def redirect_to_app(request: Request): - return templates.TemplateResponse("index.html", {"request": request, "config": config}) - -with open(config["mars_language"], "r") as f: - mars_language = yaml.safe_load(f)["_field"] - -###### Load FDB Schema -schema = FDBSchemaFile(config["fdb_schema"]) - -def request_to_dict(request: Request) -> Dict[str, Any]: - # Convert query parameters to dictionary format - request_dict = dict(request.query_params) - for key, value in request_dict.items(): - # Convert comma-separated values into lists - if "," in value: - request_dict[key] = value.split(",") - return request_dict - -@app.get("/tree") -async def get_tree(request: Request): - # Convert query parameters to dictionary format - request_dict = request_to_dict(request) - - # Run the schema matching logic - matches = schema.match_all(request_dict) - - # Only take the longest matches - max_len = max(len(m) for m in matches) - matches = [m for m in matches if len(m) == max_len] - - # Take the ends of all partial matches, ignore those that are full matches - # Full matches are indicated by the last key having boolean value True - key_frontier = defaultdict(list) - for match in matches: - if not match[-1]: - key_frontier[match[-1].key].append([m for m in match[:-1]]) - - - - def make_link(key_name, paths): - """Take a MARS Key and information about which paths matched up to this point and use it to make a STAC Link""" - first_path = [str(p) for p in paths[0]] - href_template = f"/tree?{'&'.join(first_path)}{'&' if first_path else ''}{key_name}={{}}" - optional = [p[-1].key_spec.is_optional() for p in paths if len(p) > 0] - optional_str = "Yes" if all(optional) and len(optional) > 0 else ("Sometimes" if any(optional) else "No") - values_from_mars_language = mars_language.get(key_name, {}).get("values", []) - values = [v[0] if isinstance(v, list) else v for v in values_from_mars_language] - - if all(isinstance(v, list) for v in values_from_mars_language): - value_descriptions = [v[-1] if len(v) > 1 else "" for v in values_from_mars_language] - else: - value_descriptions = [""] * len(values) - - return { - "title": key_name, - "generalized_datacube:href_template": href_template, - "rel": "child", - "type": "application/json", - "generalized_datacube:dimension" : { - "type" : mars_language.get(key_name, {}).get("type", ""), - "description": mars_language.get(key_name, {}).get("description", ""), - "values" : values, - "value_descriptions" : value_descriptions, - "optional" : any(optional), - "multiple": True, - } - - - # "paths": set(tuple(f"{m.key}={m.value}" for m in p) for p in paths), - - } - - - def value_descriptions(key, values): - return { - v[0] : v[-1] for v in mars_language.get(key, {}).get("values", []) - if len(v) > 1 and v[0] in values - } - - descriptions = { - key : { - "key" : key, - "values" : values, - "description" : mars_language.get(key, {}).get("description", ""), - "value_descriptions" : value_descriptions(key,values), - } - for key, values in request_dict.items() - } - - # Format the response as a STAC collection - stac_collection = { - "type": "Collection", - "stac_version": "1.0.0", - "id": "partial-matches", - "description": "STAC collection representing potential children of this request", - "links": [ - make_link(key_name, paths) - for key_name, paths in key_frontier.items() - ], - "debug": { - "request": request_dict, - "descriptions": descriptions, - "matches" : matches, - # "paths" : [ - # { - # "path" : {o.key : o.str_value() for o in path}, - # "list" : [i["keys"] for i in fdb.list({o.key : o.str_value() for o in path}, keys=True)], - # "key" : key, - # } for key, paths in key_frontier.items() for path in paths - # ] - } - } - - return stac_collection \ No newline at end of file diff --git a/backend/requirements.txt b/backend/requirements.txt deleted file mode 100644 index 33bd9ae..0000000 --- a/backend/requirements.txt +++ /dev/null @@ -1,2 +0,0 @@ -fastapi[standard] -pe \ No newline at end of file diff --git a/backend/standard_fdb_schema b/backend/standard_fdb_schema deleted file mode 100644 index 394223f..0000000 --- a/backend/standard_fdb_schema +++ /dev/null @@ -1,590 +0,0 @@ - -# * Format of the rules is: - -# [a1, a2, a3 ...[b1, b2, b3... [c1, c2, c3...]]] - -# - The first level (a) defines which attributes are used to name the top level directory -# - The second level (b) defines which attributes are used to name the data files -# - The third level (c) defines which attributes are used as index keys - -# * Rules can be grouped - -# [a1, a2, a3 ... -# [b1, b2, b3... [c1, c2, c3...]] -# [B1, B2, B3... [C1, C2, C3...]] -# ] - -# * A list of values can be given for an attribute -# [ ..., stream=enfo/efov, ... ] -# This will be used when matching rules. - -# * Attributes can be typed -# Globally, at the begining of this file: - -# refdate: Date; - -# or in the context of a rule: -# [type=cl, ... [date:ClimateMonth, ...]] - -# Typing attributes is done when the user's requests or the GRIB values need to be modified before directories, files and indexes are created. For example, ClimateMonth will transform 2010-04-01 to 'may' internally. - -# * Attributes can be optional -# [ step, levelist?, param ] -# They will be replaced internally by an empty value. It is also posiible to provide a default subtitution value: e.g. [domain?g] will consider the domain to be 'g' if missing. - -# * Attributes can be removed: -# [grid-] -# This is useful to remove attributes present in the GRIB that should not be ignored - -# * Rules are matched: - -# - If the attributes are present in the GRIB/Request, or marked optional or ignored -# - If a list of possible value is provided, one of them must match, for example -# [ class, expver, stream=enfo/efov, date, time, domain ] -# will match either stream=enfo or stream=efov, all other attributes will be matched if they exist in the GRIB or user's request - -# * On archive: -# - Attributes are extracted from the GRIB (namespace 'mars'), possibly modified by the attribute type -# - Only the first rule is used, so order is important -# - All GRIB attributes must be used by the rules, otherwise an error is raised - -# * On retrieve: -# - Attributes are extracted from the user's request, possibly modified by the attribute type (e.g. for handling of U/V) -# - All the matching rules are considered -# - Only attributes listed in the rules are used to extract values from the user's request - - -# Default types - -param: Param; -step: Step; -date: Date; -hdate: Date; -refdate: Date; -latitude: Double; -longitude: Double; -levelist: Double; -grid: Grid; -expver: Expver; - -time: Time; -fcmonth: Integer; - -number: Integer; -frequency: Integer; -direction: Integer; -channel: Integer; - -instrument: Integer; -ident: Integer; - -diagnostic: Integer; -iteration: Integer; -system: Integer; -method: Integer; - -# ??????? - -# reference: Integer; -# fcperiod: Integer; - -# opttime: Integer; -# leadtime: Integer; - -# quantile: ?????? -# range: ?????? - -# band: Integer; - - -######################################################## -# These rules must be first, otherwise fields of These -# classes will be index with the default rule for oper -[ class=ti/s2, expver, stream, date, time, model - [ origin, type, levtype, hdate? - [ step, number?, levelist?, param ]] -] - -[ class=ms, expver, stream, date, time, country=de - [ domain, type, levtype, dbase, rki, rty, ty - [ step, levelist?, param ]] -] - -[ class=ms, expver, stream, date, time, country=it - [ domain, type, levtype, model, bcmodel, icmodel:First3 - [ step, levelist?, param ] - ] -] - -[ class=el, expver, stream, date, time, domain - [ origin, type, levtype - [ step, levelist?, param ]] -] - -######################################################## -# The are the rules matching most of the fields -# oper/dcda -[ class, expver, stream=oper/dcda/scda, date, time, domain? - - [ type=im/sim - [ step?, ident, instrument, channel ]] - - [ type=ssd - [ step, param, ident, instrument, channel ]] - - [ type=4i, levtype - [ step, iteration, levelist, param ]] - - [ type=me, levtype - [ step, number, levelist?, param ]] - - [ type=ef, levtype - [ step, levelist?, param, channel? ]] - - [ type=ofb/mfb - [ obsgroup, reportype ]] - - [ type, levtype - [ step, levelist?, param ]] - -] - -# dcwv/scwv/wave -[ class, expver, stream=dcwv/scwv/wave, date, time, domain - [ type, levtype - [ step, param, frequency?, direction? ]]] - -# enfo -[ class, expver, stream=enfo/efov, date, time, domain - - [ type, levtype=dp, product?, section? - [ step, number?, levelist?, latitude?, longitude?, range?, param ]] - - [ type=tu, levtype, reference - [ step, number, levelist?, param ]] - - [ type, levtype - [ step, quantile?, number?, levelist?, param ]] - -] - -# waef/weov -[ class, expver, stream=waef/weov, date, time, domain - [ type, levtype - [ step, number?, param, frequency?, direction? ]] -] - -######################################################## -# enda -[ class, expver, stream=enda, date, time, domain - - [ type=ef/em/es/ses, levtype - [ step, number?, levelist?, param, channel? ]] - - [ type=ssd - [ step, number, param, ident, instrument, channel ]] - - - [ type, levtype - [ step, number?, levelist?, param ]] -] - -# ewda -[ class, expver, stream=ewda, date, time, domain - [ type, levtype - [ step, number?, param, frequency?, direction? ]] -] - - -######################################################## -# elda -[ class, expver, stream=elda, date, time, domain? - - [ type=ofb/mfb - [ obsgroup, reportype ]] - - [ type, levtype, anoffset - [ step, number?, levelist?, iteration?, param, channel? ]] -] - -# ewda -[ class, expver, stream=ewla, date, time, domain - [ type, levtype, anoffset - [ step, number?, param, frequency?, direction? ]] -] - -######################################################## -# elda -[ class, expver, stream=lwda, date, time, domain? - - [ type=ssd, anoffset - [ step, param, ident, instrument, channel ]] - - [type=me, levtype, anoffset - [ number, step, levelist?, param]] - - [ type=4i, levtype, anoffset - [ step, iteration, levelist, param ]] - - [ type=ofb/mfb - [ obsgroup, reportype ]] - - [ type, levtype, anoffset - [ step, levelist?, param]] -] - -# ewda -[ class, expver, stream=lwwv, date, time, domain - [ type, levtype, anoffset - [ step, param, frequency?, direction? ]] -] -######################################################## -# amap -[ class, expver, stream=amap, date, time, domain - [ type, levtype, origin - [ step, levelist?, param ]]] - -# maed -[ class, expver, stream=maed, date, time, domain - [ type, levtype, origin - [ step, levelist?, param ]]] - -# mawv -[ class, expver, stream=mawv, date, time, domain - [ type, levtype, origin - [ step, param, frequency?, direction? ]]] - -# cher -[ class, expver, stream=cher, date, time, domain - [ type, levtype - [ step, levelist, param ]]] - - -# efhc -[ class, expver, stream=efhc, refdate, time, domain - [ type, levtype, date - [ step, number?, levelist?, param ]]] - -# efho -[ class, expver, stream=efho, date, time, domain - [ type, levtype, hdate - [ step, number?, levelist?, param ]]] - - -# efhs -[ class, expver, stream=efhs, date, time, domain - [ type, levtype - [ step, quantile?, number?, levelist?, param ]]] - -# wehs -[ class, expver, stream=wehs, date, time, domain - [ type, levtype - [ step, quantile?, number?, levelist?, param ]]] - -# kwbc -[ class, expver, stream=kwbc, date, time, domain - [ type, levtype - [ step, number?, levelist?, param ]]] - -# ehmm -[ class, expver, stream=ehmm, date, time, domain - [ type, levtype, hdate - [ fcmonth, levelist?, param ]]] - - -# ammc/cwao/edzw/egrr/lfpw/rjtd/toga -[ class, expver, stream=ammc/cwao/edzw/egrr/lfpw/rjtd/toga/fgge, date, time, domain - [ type, levtype - [ step, levelist?, param ]]] - -######################################################################## - -# enfh -[ class, expver, stream=enfh, date, time, domain - - [ type, levtype=dp, hdate, product?, section? - [ step, number?, levelist?, latitude?, longitude?, range?, param ]] - - [ type, levtype, hdate - [ step, number?, levelist?, param ]] -] - -# enwh -[ class, expver, stream=enwh, date, time, domain - [ type, levtype, hdate - [ step, number?, param, frequency?, direction? ]] -] - -######################################################################## -# sens -[ class, expver, stream=sens, date, time, domain - [ type, levtype - [ step, diagnostic, iteration, levelist?, param ]]] - -######################################################################## -# esmm -[ class, expver, stream=esmm, date, time, domain - [ type, levtype - [ fcmonth, levelist?, param ]]] -# ewhc -[ class, expver, stream=ewhc, refdate, time, domain - [ type, levtype, date - [ step, number?, param, frequency?, direction? ]]] - -######################################################################## -# ewho -[ class, expver, stream=ewho, date, time, domain - [ type, levtype, hdate - [ step, number?, param, frequency?, direction? ]]] - -# mfam -[ class, expver, stream=mfam, date, time, domain - - [ type=pb/pd, levtype, origin, system?, method - [ fcperiod, quantile, levelist?, param ]] - - [ type, levtype, origin, system?, method - [ fcperiod, number?, levelist?, param ]] - -] - -# mfhm -[ class, expver, stream=mfhm, refdate, time, domain - [ type, levtype, origin, system?, method, date? - [ fcperiod, number?, levelist?, param ]]] -# mfhw -[ class, expver, stream=mfhw, refdate, time, domain - [ type, levtype, origin, system?, method, date - [ step, number?, param ]]] -# mfwm -[ class, expver, stream=mfwm, date, time, domain - [ type, levtype, origin, system?, method - [ fcperiod, number, param ]]] -# mhwm -[ class, expver, stream=mhwm, refdate, time, domain - [ type, levtype, origin, system?, method, date - [ fcperiod, number, param ]]] - -# mmsf -[ class, expver, stream=mmsf, date, time, domain - - [ type, levtype=dp, origin, product, section, system?, method - [ step, number, levelist?, latitude?, longitude?, range?, param ]] - - [ type, levtype, origin, system?, method - [ step, number, levelist?, param ]] -] - -# mnfc -[ class, expver, stream=mnfc, date, time, domain - - [ type, levtype=dp, origin, product, section, system?, method - [ step, number?, levelist?, latitude?, longitude?, range?, param ]] - - [ type, levtype, origin, system?, method - [ step, number?, levelist?, param ]] -] - -# mnfh -[ class, expver, stream=mnfh, refdate, time, domain - [ type, levtype=dp, origin, product, section, system?, method, date - [ step, number?, levelist?, latitude?, longitude?, range?, param ]] - [ type, levtype, origin, system?, method, date? - [ step, number?, levelist?, param ]] -] - -# mnfm -[ class, expver, stream=mnfm, date, time, domain - [ type, levtype, origin, system?, method - [ fcperiod, number?, levelist?, param ]]] - -# mnfw -[ class, expver, stream=mnfw, date, time, domain - [ type, levtype, origin, system?, method - [ step, number?, param ]]] - -# ea/mnth -[ class=ea, expver, stream=mnth, date, domain - [ type, levtype - [ time, step?, levelist?, param ]]] - -# mnth -[ class, expver, stream=mnth, domain - [ type=cl, levtype - [ date: ClimateMonthly, time, levelist?, param ]] - [ type, levtype - [ date , time, step?, levelist?, param ]]] - -# mofc -[ class, expver, stream=mofc, date, time, domain - [ type, levtype=dp, product, section, system?, method - [ step, number?, levelist?, latitude?, longitude?, range?, param ]] - [ type, levtype, system?, method - [ step, number?, levelist?, param ]] -] - -# mofm -[ class, expver, stream=mofm, date, time, domain - [ type, levtype, system?, method - [ fcperiod, number, levelist?, param ]]] - -# mmsa/msmm -[ class, expver, stream=mmsa, date, time, domain - [ type, levtype, origin, system?, method - [ fcmonth, number?, levelist?, param ]]] - -[ class, expver, stream=msmm, date, time, domain - [ type, levtype, origin, system?, method - [ fcmonth, number?, levelist?, param ]]] - -# ocea -[ class, expver, stream=ocea, date, time, domain - [ type, levtype, product, section, system?, method - [ step, number, levelist?, latitude?, longitude?, range?, param ]] -] - -#=# seas -[ class, expver, stream=seas, date, time, domain - - [ type, levtype=dp, product, section, system?, method - [ step, number, levelist?, latitude?, longitude?, range?, param ]] - - [ type, levtype, system?, method - [ step, number, levelist?, param ]] -] - -# sfmm/smma -[ class, expver, stream=sfmm/smma, date, time, domain - [ type, levtype, system?, method - [ fcmonth, number?, levelist?, param ]]] - -# supd -[ class=od, expver, stream=supd, date, time, domain - [ type, levtype, origin?, grid - [ step, levelist?, param ]]] - -# For era -[ class, expver, stream=supd, date, time, domain - [ type, levtype, grid- # The minus sign is here to consume 'grid', but don't index it - [ step, levelist?, param ]]] - -# swmm -[ class, expver, stream=swmm, date, time, domain - [ type, levtype, system?, method - [ fcmonth, number, param ]]] - -# wamf -[ class, expver, stream=wamf, date, time, domain - [ type, levtype, system?, method - [ step, number?, param ]]] - -# ea/wamo -[ class=ea, expver, stream=wamo, date, domain - [ type, levtype - [ time, step?, param ]]] - -# wamo -[ class, expver, stream=wamo, domain - [ type=cl, levtype - [ date: ClimateMonthly, time, param ]] - [ type, levtype - [ date, time, step?, param ]]] - -# wamd -[ class, expver, stream=wamd, date, domain - [ type, levtype - [ param ]]] - -# wasf -[ class, expver, stream=wasf, date, time, domain - [ type, levtype, system?, method - [ step, number, param ]]] -# wmfm -[ class, expver, stream=wmfm, date, time, domain - [ type, levtype, system?, method - [ fcperiod, number, param ]]] - -# moda -[ class, expver, stream=moda, date, domain - [ type, levtype - [ levelist?, param ]]] - -# msdc/mdfa/msda -[ class, expver, stream=msdc/mdfa/msda, domain - [ type, levtype - [ date, time?, step?, levelist?, param ]]] - - - -# seap -[ class, expver, stream=seap, date, time, domain - [ type=sv/svar, levtype, origin, method? - [ step, leadtime, opttime, number, levelist?, param ]] - - [ type=ef, levtype, origin - [ step, levelist?, param, channel? ]] - - [ type, levtype, origin - [ step, levelist?, param ]] - - ] - -[ class, expver, stream=mmaf, date, time, domain - [ type, levtype, origin, system?, method - [ step, number, levelist?, param ]] -] - -[ class, expver, stream=mmam, date, time, domain - [ type, levtype, origin, system?, method - [ fcmonth, number, levelist?, param ]] -] - - -[ class, expver, stream=dacl, domain - [ type=pb, levtype - [ date: ClimateDaily, time, step, quantile, levelist?, param ]] - [ type, levtype - [ date: ClimateDaily, time, step, levelist?, param ]] - -] - -[ class, expver, stream=dacw, domain - [ type=pb, levtype - [ date: ClimateDaily, time, step, quantile, param ]] - [ type, levtype - [ date: ClimateDaily, time, step, param ]] - -] - -[ class, expver, stream=edmm/ewmm, date, time, domain - [ type=ssd - [ step, number, param, ident, instrument, channel ]] - [ type, levtype - [ step, number, levelist?, param ]] -] - -[ class, expver, stream=edmo/ewmo, date, domain - [ type, levtype - [ number, levelist?, param ]] -] - -# stream gfas -[ class=mc/rd, expver, stream=gfas, date, time, domain - [ type=ga, levtype - [ step, param ]] - - [ type=gsd - [ param, ident, instrument ]] - -] - -# class is e2 -[ class, expver, stream=espd, date, time, domain - [ type, levtype, origin, grid - [ step, number, levelist?, param ]]] - -[ class=cs, expver, stream, date:Default, time, domain - [ type, levtype - [ step, levelist?, param ]]] - - diff --git a/backend/test_schema b/backend/test_schema deleted file mode 100644 index a0a684d..0000000 --- a/backend/test_schema +++ /dev/null @@ -1,11 +0,0 @@ -[ class=od, stream, date, time - [ domain, type, levtype, dbase, rki, rty, ty - [ step, levelist?, param ]] -] - -[ class=ensemble, number, stream, date, time, - [ domain, type, levtype, dbase, rki, rty, ty - [ step, levelist?, param ]] -] - -[ class, foo] \ No newline at end of file diff --git a/backend/tests.ipynb b/backend/tests.ipynb deleted file mode 100644 index ca0de70..0000000 --- a/backend/tests.ipynb +++ /dev/null @@ -1,156 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 5, - "id": "2f01a012-002a-465c-9b09-681bdb3fc26d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "class\n", - "type\n", - "stream\n", - "expver\n", - "dataset\n", - "model\n", - "repres\n", - "obsgroup\n", - "reportype\n", - "levtype\n", - "levelist\n", - "param\n", - "date\n", - "year\n", - "month\n", - "hdate\n", - "offsetdate\n", - "fcmonth\n", - "fcperiod\n", - "time\n", - "offsettime\n", - "step\n", - "anoffset\n", - "reference\n", - "number\n", - "quantile\n", - "domain\n", - "frequency\n", - "direction\n", - "diagnostic\n", - "iteration\n", - "channel\n", - "ident\n", - "instrument\n", - "method\n", - "origin\n", - "system\n", - "activity\n", - "experiment\n", - "generation\n", - "realization\n", - "resolution\n" - ] - } - ], - "source": [ - "language_yaml = \"./language.yaml\"\n", - "import yaml\n", - "\n", - "with open(language_yaml, \"r\") as f:\n", - " mars_language = yaml.safe_load(f)[\"_field\"]\n", - "\n", - "for k in mars_language.keys(): print(k)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "be9074a8-a56f-4fd0-a466-de8904faaa1c", - "metadata": {}, - "outputs": [], - "source": [ - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "9dd26fe4-5da5-48a5-9e43-83ac1085f7e6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "([Key(key='class', value='od', key_spec=class=od, reason='Matches'),\n", - " Key(key='stream', value=5, key_spec=stream, reason='Matches'),\n", - " Key(key='date', value='', key_spec=date, reason='Key Missing')],\n", - " [Key(key='class', value='ensemble', key_spec=class=ensemble, reason='Matches'),\n", - " Key(key='number', value='2', key_spec=number, reason='Matches'),\n", - " Key(key='stream', value=5, key_spec=stream, reason='Matches'),\n", - " Key(key='date', value='', key_spec=date, reason='Key Missing')])" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from fdb_schema import FDBSchemaFile\n", - "schema = FDBSchemaFile(\"./test_schema\")\n", - "\n", - "r = {\n", - " \"class\" : [\"ensemble\", \"od\"],\n", - " \"number\" : \"2\",\n", - " \"stream\" : 5,\n", - "}\n", - "\n", - "a, b = schema.match_all(r)\n", - "a, b" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f46268e3-e197-47b9-bb6e-94f06e0bf648", - "metadata": {}, - "outputs": [], - "source": [ - "([],\n", - " [[Key(key='class', value='od', key_spec=class=od, reason='Matches'),\n", - " Key(key='stream', value=5, key_spec=stream, reason='Matches'),\n", - " Key(key='date', value='', key_spec=date, reason='Key Missing')],\n", - " \n", - " [Key(key='class', value='ensemble', key_spec=class=ensemble, reason='Matches'),\n", - " Key(key='number', value='2', key_spec=number, reason='Matches'),\n", - " Key(key='stream', value=5, key_spec=stream, reason='Matches'),\n", - " Key(key='date', value='', key_spec=date, reason='Key Missing')]])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:micromamba-ionbeam]", - "language": "python", - "name": "conda-env-micromamba-ionbeam-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.0" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/backend/webapp/app.js b/backend/webapp/app.js deleted file mode 100644 index 78d8817..0000000 --- a/backend/webapp/app.js +++ /dev/null @@ -1,297 +0,0 @@ -// app.js - -// const API_BASE_URL = "http://127.0.0.1:8000/tree"; - -// Take the query string and stick it on the API URL -function getSTACUrlFromQuery() { - const params = new URLSearchParams(window.location.search); - - // get current window url and remove path part - let api_url = new URL(window.location.href); - api_url.pathname = "/tree"; - - for (const [key, value] of params.entries()) { - api_url.searchParams.set(key, value); - } - - console.log(api_url.toString()); - return api_url.toString(); -} - -function get_request_from_url() { - // Extract the query params in order and split any with a , delimiter - // request is an ordered array of [key, [value1, value2, value3, ...]] - const url = new URL(window.location.href); - const params = new URLSearchParams(url.search); - const request = []; - for (const [key, value] of params.entries()) { - request.push([key, value.split(",")]); - } - return request; -} - -function make_url_from_request(request) { - const url = new URL(window.location.href); - url.search = ""; // Clear existing params - const params = new URLSearchParams(); - - for (const [key, values] of request) { - params.set(key, values.join(",")); - } - url.search = params.toString(); - - return url.toString().replace(/%2C/g, ","); -} - -function goToPreviousUrl() { - let request = get_request_from_url(); - request.pop(); - console.log("Request:", request); - const url = make_url_from_request(request); - console.log("URL:", url); - window.location.href = make_url_from_request(request); -} - -// Function to generate a new STAC URL based on current selection -function goToNextUrl() { - const request = get_request_from_url(); - - // Get the currently selected key = value,value2,value3 pairs - const items = Array.from(document.querySelectorAll("div#items > div")); - - let any_new_keys = false; - const new_keys = items.map((item) => { - const key = item.dataset.key; - const key_type = item.dataset.keyType; - let values = []; - - const datePicker = item.querySelector("input[type='date']"); - if (datePicker) { - values.push(datePicker.value.replace(/-/g, "")); - } - - const timePicker = item.querySelector("input[type='time']"); - if (timePicker) { - values.push(timePicker.value.replace(":", "")); - } - - const enum_checkboxes = item.querySelectorAll("input[type='checkbox']:checked"); - if (enum_checkboxes.length > 0) { - values.push(...Array.from(enum_checkboxes).map((checkbox) => checkbox.value)); - } - - const any = item.querySelector("input[type='text']"); - if (any && any.value !== "") { - values.push(any.value); - } - - // Keep track of whether any new keys are selected - if (values.length > 0) { - any_new_keys = true; - } - - return { key, values }; - }); - - // if not new keys are selected, do nothing - if (!any_new_keys) { - return; - } - - // Update the request with the new keys - for (const { key, values } of new_keys) { - // Find the index of the existing key in the request array - const existingIndex = request.findIndex( - ([existingKey, existingValues]) => existingKey === key - ); - - if (existingIndex !== -1) { - // If the key already exists, append the values - request[existingIndex][1] = [...request[existingIndex][1], ...values]; - } else { - // If the key doesn't exist, add a new entry - request.push([key, values]); - } - } - - const url = make_url_from_request(request); - window.location.href = url; -} - -async function createCatalogItem(link, itemsContainer) { - const itemDiv = document.createElement("div"); - itemDiv.className = "item loading"; - itemDiv.textContent = "Loading..."; - itemsContainer.appendChild(itemDiv); - - try { - - // Update the item div with real content - itemDiv.classList.remove("loading"); - - const dimension = link["generalized_datacube:dimension"]; - - // add data-key attribute to the itemDiv - itemDiv.dataset.key = link.title; - itemDiv.dataset.keyType = dimension.type; - - itemDiv.innerHTML = ` -

${link.title || "No title available"}

-

Key Type: ${itemDiv.dataset.keyType || "Unknown"}

-

Optional: ${dimension.optional ? "Yes" : "No"}

-

${dimension.description ? dimension.description.slice(0, 100) : "No description available"}...

- `; - - - if (dimension.type === "date" || dimension.type === "time") { - // Render a date picker for the "date" key - const picker = ``; - //convert picker to HTML node - const pickerNode = document - .createRange() - .createContextualFragment(picker); - itemDiv.appendChild(pickerNode); - } - // Otherwise create a scrollable list with checkboxes for values if available - else if ( - // dimension.type === "enum" && - dimension.values && - dimension.values.length > 0 - ) { - const listContainer = renderCheckboxList(link); - itemDiv.appendChild(listContainer); - } else { - const any = ``; - const anyNode = document.createRange().createContextualFragment(any); - itemDiv.appendChild(anyNode); - } - } catch (error) { - console.error("Error loading item data:", error); - itemDiv.innerHTML = `

Error loading item details: ${error}

`; - } -} - -function renderCheckboxList(link) { - const dimension = link["generalized_datacube:dimension"]; - const value_descriptions = dimension.value_descriptions; - - const listContainerHTML = ` -
- -
- ${dimension.values - .map((value, index) => { - const labelText = value_descriptions[index] ? `${value} - ${value_descriptions[index]}` : value; - return ` -
- - -
- `; - }) - .join("")} -
-
- `; - - return document.createRange().createContextualFragment(listContainerHTML).firstElementChild; - } - -// Render catalog items in the sidebar -function renderCatalogItems(links) { - const itemsContainer = document.getElementById("items"); - itemsContainer.innerHTML = ""; // Clear previous items - - console.log("Number of Links:", links); - const children = links.filter( - (link) => link.rel === "child" || link.rel === "items" - ); - console.log("Number of Children:", children.length); - - children.forEach((link) => { - createCatalogItem(link, itemsContainer); - }); -} - -function renderRequestBreakdown(request, descriptions) { - const container = document.getElementById("request-breakdown"); - const format_value = (key, value) => { - return `"${value}"`; - }; - - const format_values = (key, values) => { - if (values.length === 1) { - return format_value(key, values[0]); - } - return `[${values.map((v) => - format_value(key, v) - ).join(", ")}]`; - }; - - let html = `{\n` + - request - .map( - ([key, values]) => - ` "${key}": ${format_values(key, values)},` - ) - .join("\n") + - `\n}`; - container.innerHTML = html; - } - -function renderRawSTACResponse(catalog) { - const itemDetails = document.getElementById("raw-stac"); - itemDetails.textContent = JSON.stringify(catalog, null, 2); -} - -// Fetch STAC catalog and display items -async function fetchCatalog(request, stacUrl) { - try { - const response = await fetch(stacUrl); - const catalog = await response.json(); - - // Render the request breakdown in the sidebar - renderRequestBreakdown(request, catalog.debug.descriptions); - - // Show the raw STAC in the sidebar - renderRawSTACResponse(catalog); - - // Render the items from the catalog - if (catalog.links) { - console.log("Fetched STAC catalog:", stacUrl, catalog.links); - renderCatalogItems(catalog.links); - } - - // Highlight the request and raw STAC - hljs.highlightElement(document.getElementById("raw-stac")); - } catch (error) { - console.error("Error fetching STAC catalog:", error); - } -} - -// Initialize the viewer by fetching the STAC catalog -function initializeViewer() { - const stacUrl = getSTACUrlFromQuery(); - const request = get_request_from_url(); - - if (stacUrl) { - console.log("Fetching STAC catalog from query string URL:", stacUrl); - fetchCatalog(request, stacUrl); - } else { - console.error("No STAC URL provided in the query string."); - } - - // Add event listener for the "Generate STAC URL" button - const generateUrlBtn = document.getElementById("next-btn"); - generateUrlBtn.addEventListener("click", goToNextUrl); - - const previousUrlBtn = document.getElementById("previous-btn"); - previousUrlBtn.addEventListener("click", goToPreviousUrl); - - // Add event listener for the "Raw STAC" button - const stacAnchor = document.getElementById("stac-anchor"); - stacAnchor.href = getSTACUrlFromQuery(); -} - -// Call initializeViewer on page load -initializeViewer(); diff --git a/backend/webapp/index.html b/backend/webapp/index.html deleted file mode 100644 index 936e068..0000000 --- a/backend/webapp/index.html +++ /dev/null @@ -1,46 +0,0 @@ - - - - - - ECMWF DestinE STAC Viewer - - - - - - - - - -
-
-

STAC Items

-

Select one or more items and then click next iteratively build up a full request.

- -
- - - -
- -
- -
-
-
- {{ config.get('message', '')}} -

Request

- Hover over a key or value for more info. - 

-{
-}
-
-

Raw STAC

-
-
-
- - - - \ No newline at end of file diff --git a/backend/webapp/run.sh b/backend/webapp/run.sh deleted file mode 100644 index 9ae1030..0000000 --- a/backend/webapp/run.sh +++ /dev/null @@ -1,2 +0,0 @@ -# https://github.com/cytb/simple-autoreload-server -autoreload-server . 8123 \ No newline at end of file diff --git a/backend/webapp/styles.css b/backend/webapp/styles.css deleted file mode 100644 index f1f1c4b..0000000 --- a/backend/webapp/styles.css +++ /dev/null @@ -1,166 +0,0 @@ -body { - font-family: Arial, sans-serif; - margin: 0; - padding: 0; -} -#viewer { - display: flex; - flex-direction: row; - height: 100vh; -} -#catalog-list { - width: 30%; - padding: 10px; - overflow-y: scroll; - background-color: #f4f4f4; - border-right: 1px solid #ddd; -} - -#catalog-list h2 { - margin-top: 0; -} -#details { - width: 70%; - padding: 10px; -} - -.sidebar-header { - display: flex; - justify-content: space-between; /* Center buttons horizontally */ - margin-bottom: 10px; /* Space below header */ - height: 3em; -} - -.sidebar-header button { - width: 10em; -} - -canvas { - width: 100%; - height: 300px; - border: 1px solid #ccc; - margin-top: 20px; -} - -/* Updated CSS for the item elements in the catalog list */ -.item { - background-color: white; - border: 1px solid #ddd; - padding: 10px; - margin-bottom: 10px; - border-radius: 5px; - transition: background-color 0.2s ease; -} - -.item-title { - font-size: 18px; - margin: 0; - color: #333; -} - -.item-type { - font-size: 14px; - margin: 5px 0; - color: #666; -} - -.item-id, .item-key-type { - font-size: 12px; - color: #999; -} - -.item-description { - font-size: 13px; - margin: 5px 0; - color: #444; - font-style: italic; -} - -#items { - padding: 10px; -} - -.item.selected { - background-color: #d4e9ff; /* Lighter blue for selection */ - border-color: #003399; /* Keep the original ECMWF blue for the border */ -} - -#raw-stac { - white-space: pre-wrap; - background-color: #f9f9f9; - padding: 10px; - border: 1px solid #ccc; -} - - -/* Button styles */ -button { - height: 3em; - padding: 10px 20px; /* Padding around button text */ - margin: 0 5px; /* Margin between buttons */ - background-color: #003399; /* ECMWF blue */ - color: white; /* White text color */ - border: none; /* Remove default button border */ - cursor: pointer; /* Pointer cursor on hover */ - border-radius: 5px; /* Rounded corners */ - transition: background-color 0.3s ease; /* Smooth background color transition */ -} - -button:hover { - background-color: #001f66; /* Darker shade of ECMWF blue on hover */ -} - -.item-list-container { - margin-top: 20px; - margin-bottom: 20px; -} - -.scrollable-list { - max-height: 200px; - overflow-y: auto; - padding: 10px; - border: 1px solid #ccc; - border-radius: 4px; - background-color: #fff; - box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1); -} - -.checkbox-container { - display: flex; - align-items: center; - margin-bottom: 10px; -} - -.item-checkbox { - margin-right: 10px; - cursor: pointer; -} - -.checkbox-label { - font-size: 16px; - color: #333; -} - -.checkbox-container:hover .checkbox-label { - color: #003399; -} - -.list-label { - font-weight: bold; - margin-bottom: 0.5em; - display: block; - color: #003399; -} - -span.key, span.value { - color: #ba2121;; -} - -span.key { - font-weight: bold; -} - -span.key:hover, span.value:hover { - color: #ff2a2a; - cursor: pointer; -} \ No newline at end of file diff --git a/cache/README.md b/cache/README.md deleted file mode 100644 index c33b6c9..0000000 --- a/cache/README.md +++ /dev/null @@ -1,9 +0,0 @@ -This code builds the tree cache from fdb.list - -A tried a fill run of the entire database using `list_entire_fdb.py`, it died after 14 hours and 89 million unique objects, perhaps because it ran out of memory. - - -The raw `cache.json` can be compressed using "tree_to_compressed.py" which folds identical subtrees and replaces the keys with "key=val1,val2,val3" strings. -For a 38MB cache.json, the compressed version is 40KB. -For 122MB it's 44KB. - diff --git a/cache/backups/cache.json.backup.06.11.2024 b/cache/backups/cache.json.backup.06.11.2024 deleted file mode 100644 index 7cb7caa..0000000 --- a/cache/backups/cache.json.backup.06.11.2024 +++ /dev/null @@ -1 +0,0 @@ -{"class=d1": {"dataset=climate-dt": {"activity=cmip6": {"experiment=hist": {"generation=1": {"model=icon": {"realization=1": {"expver=0001": {"stream=clte": {"date=19910410": {"resolution=high": {"type=fc": {"levtype=sfc": {"time=0000": {"param=130": {}}}}}}}}}}}}}}}} \ No newline at end of file diff --git a/cache/climate-dt-cache.json b/cache/climate-dt-cache.json deleted file mode 100644 index f9a5dd6..0000000 --- a/cache/climate-dt-cache.json +++ /dev/null @@ -1 +0,0 @@ -{"_count": 32857, "class=d1": {"_count": 32857, "dataset=climate-dt": {"_count": 32857, "activity=cmip6": {"_count": 21901, "experiment=hist": {"_count": 21901, "generation=1": {"_count": 21901, "model=icon": {"_count": 5471, "realization=1": {"_count": 5471, "expver=0001": 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if k != "_count"}) - -def expand_tree_but_collapsed(cache, tree, level = 0, max_level = None): - if max_level == level: return tree - if not isinstance(tree, dict): return tree - # collapse by leaf - leaves = defaultdict(list) - for k, v in tree.items(): - leaves[v].append(k) - - new_tree = {} - for value, key_group in leaves.items(): - k = key_group[0].split("=")[0] - key = k + "=" + ",".join(k.split("=")[1] for k in key_group) - new_tree[key] = value - - return {k : expand_tree_but_collapsed(cache, cache[v], - level=level+1, - max_level=max_level) for k, v in new_tree.items()} - -def compress_tree(tree, max_level = 5): - cache = {} - cache_tree(cache, tree) - top_level = {k : cache_tree(cache, v) for k, v in tree.items() if k != "_count"} - return expand_tree_but_collapsed(cache, top_level, max_level = max_level) - -def pretty_schema_tree(tree): - - name_cache = {} - names = set() - - def pick_name(k): - if k in name_cache: return name_cache[k] - - name, values = k.split("=") - - for i in range(100): - new_name = f"{name}_{i}" - if new_name not in names: - name_cache[k] = new_name - names.add(new_name) - return new_name - - def tree_as_schema(tree, level = 0): - indent = " " - if not isinstance(tree, dict): - return "\n" + indent*level + f"[ {tree}, " - - out = "[" if level == 0 else "" - for k, v in tree.items(): - if len(k) > 30: - k = pick_name(k) - - if len(tree) == 1: - out += k + ", " + tree_as_schema(v, level = level + 1) - else: - out += "\n" + indent*level + f"[ {k}, " + tree_as_schema(v, level = level + 1) - # out += "]\n" - return out - - schema_tree = tree_as_schema(tree) - groups = "\n".join(f"{v} : {k}" for k, v in sorted(name_cache.items())) - return groups + "\n" + schema_tree \ No newline at end of file diff --git a/cache/compressed_cache.json b/cache/compressed_cache.json deleted file mode 100644 index e3b0b57..0000000 --- a/cache/compressed_cache.json +++ /dev/null @@ -1 +0,0 @@ -{"class=d1": {"dataset=climate-dt": {"activity=cmip6": 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{"param=129,172,134,137,141,144,146,147,148,151,159,164,165,166,167,168,169,175,176,177,178,179,180,181,182,186,187,188,212,228,235,260048,78,79,8,9": {}}, "time=0100,0200,0300,0400,0500": {"param=134,137,141,144,146,147,148,151,159,164,165,166,167,168,169,175,176,177,178,179,180,181,182,186,187,188,212,228,235,260048,78,79,8,9": {}}, "time=0600": {"param=134,137,141,144,146,147,148,151,159,164,165,166,167,168,169,175,176,177,178,179,180,181,182,186,187": {}}}}}, "resolution=high": {"type=fc": {"levtype=sfc": {"time=0000": {"param=129,172": {}}}}}}}}}}}}}}}} \ No newline at end of file diff --git a/cache/demo.cast b/cache/demo.cast deleted file mode 100644 index 93ef7e0..0000000 --- a/cache/demo.cast +++ /dev/null @@ -1,479 +0,0 @@ -{"version": 2, "width": 139, "height": 51, "timestamp": 1729520622, "env": {"SHELL": "/bin/bash", "TERM": "xterm-256color"}} -[0.013507, "o", "\u001b[?2004h\u001b]0;eouser@stac-test: ~/catalogs/backend\u0007\u001b[01;32meouser@stac-test\u001b[00m:\u001b[01;34m~/catalogs/backend\u001b[00m$ "] -[0.860592, "o", "python test_remotefdb.py "] -[1.206129, "o", "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\bsource catalogs/.venv/bin/activate"] -[2.388112, "o", "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\u001b[9Ppython test_remotefdb.py "] -[4.666292, "o", "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\bsource catalogs/.venv/bin/activate"] -[5.720147, "o", "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\u001b[9Ppython test_remotefdb.py "] -[5.898183, "o", "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\u001b[K"] -[7.606682, "o", "p"] -[7.71761, "o", "y"] -[7.879492, "o", "t"] -[8.002022, "o", "h"] -[8.043895, "o", "o"] -[8.098641, "o", "n"] -[8.226663, "o", " "] -[8.482915, "o", "c"] -[8.505358, "o", "a"] -[8.807878, "o", "che.py "] -[9.554525, "o", "\r\n\u001b[?2004l\r"] -[23.001191, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.001593, "o", "Total: 200\r\nRuntime: 13 s\r\n└──\r\n"] -[23.001818, "o", " └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.024055, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.024549, "o", "Total: 400\r\nRuntime: 13 s\r\n└──\r\n └──class=d1\r\n"] -[23.024611, "o", " └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n"] -[23.024934, "o", " └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.04771, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.04831, "o", "Total: 600\r\nRuntime: 13 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n"] -[23.048381, "o", " └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.071379, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.071805, "o", "Total: 800\r\nRuntime: 13 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n"] -[23.072001, "o", " └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.095691, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.096166, "o", "Total: 1000\r\nRuntime: 13 s\r\n└──\r\n"] -[23.096233, "o", " └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n"] -[23.096286, "o", " └──date=19920422\r\n └──resolution=high\r\n"] -[23.120415, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.120912, "o", "Total: 1200\r\nRuntime: 13 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n"] -[23.121285, "o", " └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.146966, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.147559, "o", "Total: 1400\r\nRuntime: 13 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n"] -[23.147612, "o", " └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.173693, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.174089, "o", "Total: 1600\r\nRuntime: 13 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n"] -[23.174185, "o", " └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.200989, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.201511, "o", "Total: 1800\r\nRuntime: 13 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n"] -[23.20188, "o", " └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.2307, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.231334, "o", "Total: 2000\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n"] -[23.231656, "o", " └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.259717, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.260358, "o", "Total: 2200\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n"] -[23.260696, "o", " └──resolution=high\r\n"] -[23.288767, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.289319, "o", "Total: 2400\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n"] -[23.289401, "o", " └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.318851, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.319393, "o", "Total: 2600\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n"] -[23.319446, "o", " └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.357623, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.358127, "o", "Total: 2800\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.388334, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.388761, "o", "Total: 3000\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n"] -[23.388887, "o", " └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n"] -[23.38899, "o", " └──resolution=high\r\n"] -[23.419326, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.419771, "o", "Total: 3200\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.451479, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.45205, "o", "Total: 3400\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.483464, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.483965, "o", "Total: 3600\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n"] -[23.484021, "o", " └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.516508, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.517036, "o", "Total: 3800\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.550592, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.551137, "o", "Total: 4000\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n"] -[23.551205, "o", " └──generation=1\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.587142, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.587678, "o", "Total: 4200\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[23.58785, "o", " │ └──resolution=standard\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.623094, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.623625, "o", "Total: 4400\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n"] -[23.623761, "o", " │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.658789, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.659331, "o", "Total: 4600\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[23.659457, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.694361, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.694899, "o", "Total: 4800\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n"] -[23.694938, "o", " └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.73034, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.730795, "o", "Total: 5000\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n"] -[23.730954, "o", " │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.766944, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.767366, "o", "Total: 5200\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n"] -[23.767415, "o", " └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n"] -[23.767751, "o", " └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.803901, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.804356, "o", "Total: 5400\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n"] -[23.804517, "o", " │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.842617, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.842905, "o", "Total: 5600\r\nRuntime: 14 s\r\n└──\r\n"] -[23.843086, "o", " └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.881481, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.881743, "o", "Total: 5800\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n"] -[23.88182, "o", " │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.921022, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.921331, "o", "Total: 6000\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n"] -[23.921468, "o", " └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[23.961238, "o", "\u001b[H\u001b[2J\u001b[3J"] -[23.961708, "o", "Total: 6200\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n"] -[23.961791, "o", " │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.002408, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.002895, "o", "Total: 6400\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n"] -[24.002978, "o", " └──resolution=high\r\n"] -[24.043759, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.044236, "o", "Total: 6600\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[24.044311, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.086123, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.086601, "o", "Total: 6800\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n"] -[24.086696, "o", " │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.128918, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.129432, "o", "Total: 7000\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.173033, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.173467, "o", "Total: 7200\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n"] -[24.17357, "o", " │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.216584, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.217004, "o", "Total: 7400\r\nRuntime: 14 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n"] -[24.217113, "o", " │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.261263, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.261743, "o", "Total: 7600\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n"] -[24.261779, "o", " └──date=19920422\r\n └──resolution=high\r\n"] -[24.306332, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.306779, "o", "Total: 7800\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n"] -[24.306818, "o", " │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.351451, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.351911, "o", "Total: 8000\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422"] -[24.351951, "o", "\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.399317, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.399807, "o", "Total: 8200\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n"] -[24.399905, "o", " │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.447825, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.448315, "o", "Total: 8400\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n"] -[24.448354, "o", " └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.496187, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.496619, "o", "Total: 8600\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n"] -[24.496702, "o", " │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.545074, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.545545, "o", "Total: 8800\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[24.545582, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.595303, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.595747, "o", "Total: 9000\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n"] -[24.595837, "o", " └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.64594, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.646459, "o", "Total: 9200\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[24.646531, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.697922, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.698416, "o", "Total: 9400\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n"] -[24.698498, "o", " │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.749128, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.749621, "o", "Total: 9600\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[24.749658, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.802131, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.80256, "o", "Total: 9800\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo"] -[24.802639, "o", "\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.865052, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.865354, "o", "Total: 10000\r\n"] -[24.86554, "o", "Runtime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.91872, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.919172, "o", "Total: 10200\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n"] -[24.919254, "o", " │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[24.972327, "o", "\u001b[H\u001b[2J\u001b[3J"] -[24.972657, "o", "Total: 10400\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n"] -[24.972694, "o", " │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.024978, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.025401, "o", "Total: 10600\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n"] -[25.025442, "o", " │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.078272, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.078772, "o", "Total: 10800\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n"] -[25.078858, "o", " └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.132303, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.13271, "o", "Total: 11000\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n"] -[25.132904, "o", " │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.186435, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.186935, "o", "Total: 11200\r\nRuntime: 15 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[25.186973, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.241462, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.241923, "o", "Total: 11400\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[25.241989, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.297149, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.297605, "o", "Total: 11600\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n"] -[25.297781, "o", " ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.355901, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.356392, "o", "Total: 11800\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n"] -[25.356491, "o", " └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.412731, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.413217, "o", "Total: 12000\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n"] -[25.413409, "o", " └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.470779, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.471218, "o", "Total: 12200\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n"] -[25.471262, "o", " └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.528497, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.528946, "o", "Total: 12400\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n"] -[25.528983, "o", " └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.58768, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.588168, "o", "Total: 12600\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n"] -[25.588232, "o", " │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.646322, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.646838, "o", "Total: 12800\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n"] -[25.646876, "o", " └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.705794, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.706287, "o", "Total: 13000\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n"] -[25.706453, "o", " │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.76671, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.767182, "o", "Total: 13200\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n"] -[25.767352, "o", " └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.828388, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.828951, "o", "Total: 13400\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[25.828994, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.890025, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.890438, "o", "Total: 13600\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n"] -[25.890554, "o", " ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[25.951877, "o", "\u001b[H\u001b[2J\u001b[3J"] -[25.952384, "o", "Total: 13800\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n"] -[25.952556, "o", " │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.015263, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.015827, "o", "Total: 14000\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.079166, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.079693, "o", "Total: 14200\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.143245, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.143743, "o", "Total: 14400\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.20821, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.208801, "o", "Total: 14600\r\nRuntime: 16 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n"] -[26.20894, "o", " │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.274143, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.274687, "o", "Total: 14800\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.34619, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.346549, "o", "Total: 15000\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[26.346689, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.412054, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.412602, "o", "Total: 15200\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n"] -[26.412681, "o", " └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.4795, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.480173, "o", "Total: 15400\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.547527, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.548221, "o", "Total: 15600\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n"] -[26.548442, "o", " │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.616117, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.616775, "o", "Total: 15800\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n"] -[26.617001, "o", " └──date=19920422\r\n └──resolution=high\r\n"] -[26.684421, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.685074, "o", "Total: 16000\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n"] -[26.685301, "o", " └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.753891, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.754547, "o", "Total: 16200\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n"] -[26.754812, "o", " └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.823974, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.82464, "o", "Total: 16400\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.897401, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.898115, "o", "Total: 16600\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n"] -[26.898345, "o", " │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[26.968419, "o", "\u001b[H\u001b[2J\u001b[3J"] -[26.969061, "o", "Total: 16800\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[27.039554, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.040173, "o", "Total: 17000\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n"] -[27.040394, "o", " └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[27.111089, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.111728, "o", "Total: 17200\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n"] -[27.111952, "o", " └──date=19920422\r\n └──resolution=high\r\n"] -[27.183352, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.183884, "o", "Total: 17400\r\nRuntime: 17 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n"] -[27.183967, "o", " │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[27.255989, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.256662, "o", "Total: 17600\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n"] -[27.256886, "o", " └──resolution=high\r\n"] -[27.329402, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.330001, "o", "Total: 17800\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[27.406358, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.406844, "o", "Total: 18000\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[27.489238, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.489653, "o", "Total: 18200\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[27.564484, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.564967, "o", "Total: 18400\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[27.565044, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[27.639824, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.640367, "o", "Total: 18600\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n"] -[27.64059, "o", " └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[27.716224, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.716698, "o", "Total: 18800\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[27.716914, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[27.792047, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.792521, "o", "Total: 19000\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n"] -[27.792729, "o", " │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[27.869003, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.869477, "o", "Total: 19200\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n"] -[27.869694, "o", " └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[27.955881, "o", "\u001b[H\u001b[2J\u001b[3J"] -[27.956271, "o", "Total: 19400\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[28.033745, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.034299, "o", "Total: 19600\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[28.112317, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.11285, "o", "Total: 19800\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n"] -[28.112936, "o", " │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[28.19266, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.193071, "o", "Total: 20000\r\nRuntime: 18 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n"] -[28.193203, "o", " │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[28.273245, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.273857, "o", "Total: 20200\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n"] -[28.273992, "o", " │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[28.354753, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.355375, "o", "Total: 20400\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n"] -[28.355505, "o", " │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[28.444117, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.44456, "o", "Total: 20600\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n"] -[28.444688, "o", " ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[28.526831, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.52736, "o", "Total: 20800\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n"] -[28.527497, "o", " └──resolution=high\r\n"] -[28.61032, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.610861, "o", "Total: 21000\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n"] -[28.611001, "o", " └──date=19920422\r\n └──resolution=high\r\n"] -[28.694276, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.69481, "o", "Total: 21200\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[28.694949, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[28.778291, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.778808, "o", "Total: 21400\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[28.778947, "o", " │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[28.863282, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.863763, "o", "Total: 21600\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n"] -[28.86391, "o", " │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[28.958933, "o", "\u001b[H\u001b[2J\u001b[3J"] -[28.959422, "o", "Total: 21800\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n"] -[28.959567, "o", " │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[29.043729, "o", "\u001b[H\u001b[2J\u001b[3J"] -[29.044273, "o", "Total: 22000\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[29.044447, "o", " │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[29.129213, "o", "\u001b[H\u001b[2J\u001b[3J"] -[29.129714, "o", "Total: 22200\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[29.129812, "o", " │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[29.216052, "o", "\u001b[H\u001b[2J\u001b[3J"] -[29.216541, "o", "Total: 22400\r\nRuntime: 19 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n"] -[29.216682, "o", " │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[29.303481, "o", "\u001b[H\u001b[2J\u001b[3J"] -[29.303965, "o", "Total: 22600\r\nRuntime: 20 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n"] -[29.304106, "o", " │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[29.392171, "o", "\u001b[H\u001b[2J\u001b[3J"] -[29.392601, "o", "Total: 22800\r\nRuntime: 20 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[29.481784, "o", "\u001b[H\u001b[2J\u001b[3J"] -[29.482275, "o", "Total: 23000\r\nRuntime: 20 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[29.482436, "o", " │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[29.570783, "o", "\u001b[H\u001b[2J\u001b[3J"] -[29.571214, "o", "Total: 23200\r\nRuntime: 20 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n"] -[29.571388, "o", " │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[29.660404, "o", "\u001b[H\u001b[2J\u001b[3J"] -[29.660968, "o", "Total: 23400\r\nRuntime: 20 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[29.661127, "o", " │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[29.75088, "o", "\u001b[H\u001b[2J\u001b[3J"] -[29.751383, "o", "Total: 23600\r\nRuntime: 20 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[29.751523, "o", " │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[29.840945, "o", "\u001b[H\u001b[2J\u001b[3J"] -[29.841479, "o", "Total: 23800\r\nRuntime: 20 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[29.841651, "o", " │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[29.939532, "o", "\u001b[H\u001b[2J\u001b[3J"] -[29.939978, "o", "Total: 24000\r\nRuntime: 20 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[30.031567, "o", "\u001b[H\u001b[2J\u001b[3J"] -[30.032026, "o", "Total: 24200\r\nRuntime: 20 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[30.032186, "o", " │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[30.124271, "o", "\u001b[H\u001b[2J\u001b[3J"] -[30.12472, "o", "Total: 24400\r\nRuntime: 20 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[30.124878, "o", " │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[30.216403, "o", "\u001b[H\u001b[2J\u001b[3J"] -[30.216868, "o", "Total: 24600\r\nRuntime: 20 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n"] -[30.217012, "o", " │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[30.310204, "o", "\u001b[H\u001b[2J\u001b[3J"] -[30.310798, "o", "Total: 24800\r\nRuntime: 21 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[30.310966, "o", " │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[30.406164, "o", "\u001b[H\u001b[2J\u001b[3J"] -[30.406689, "o", "Total: 25000\r\nRuntime: 21 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[30.406834, "o", " │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[30.517033, "o", "\u001b[H\u001b[2J\u001b[3J"] -[30.517415, "o", "Total: 25200\r\nRuntime: 21 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n"] -[30.51753, "o", " │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[30.611921, "o", "\u001b[H\u001b[2J\u001b[3J"] -[30.612402, "o", "Total: 25400\r\nRuntime: 21 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n"] -[30.612505, "o", " └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[30.713763, "o", "\u001b[H\u001b[2J\u001b[3J"] -[30.714288, "o", "Total: 25600\r\nRuntime: 21 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n"] -[30.714409, "o", " │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[30.811203, "o", "\u001b[H\u001b[2J\u001b[3J"] -[30.81176, "o", "Total: 25800\r\nRuntime: 21 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n"] -[30.811859, "o", " │ └──resolution=high\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[30.909483, "o", "\u001b[H\u001b[2J\u001b[3J"] -[30.910962, "o", "Total: 26000\r\nRuntime: 21 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n"] -[30.911082, "o", " │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[31.009725, "o", "\u001b[H\u001b[2J\u001b[3J"] -[31.010174, "o", "Total: 26200\r\nRuntime: 21 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n"] -[31.010311, "o", " │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[31.108865, "o", "\u001b[H\u001b[2J\u001b[3J"] -[31.109352, "o", "Total: 26400\r\nRuntime: 21 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n"] -[31.109503, "o", " │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[31.208702, "o", "\u001b[H\u001b[2J\u001b[3J"] -[31.20937, "o", "Total: 26600\r\nRuntime: 21 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n"] -[31.209472, "o", " │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[31.309207, "o", "\u001b[H\u001b[2J\u001b[3J"] -[31.309729, "o", "Total: 26800\r\nRuntime: 22 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n"] -[31.30984, "o", " │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[31.411826, "o", "\u001b[H\u001b[2J\u001b[3J"] -[31.415924, "o", "Total: 27000\r\nRuntime: 22 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n"] -[31.416088, "o", " │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[31.517116, "o", "\u001b[H\u001b[2J\u001b[3J"] -[31.517615, "o", "Total: 27200\r\nRuntime: 22 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n"] -[31.517732, "o", " │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[31.619249, "o", "\u001b[H\u001b[2J\u001b[3J"] -[31.61975, "o", "Total: 27400\r\nRuntime: 22 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n"] -[31.619867, "o", " │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[31.722157, "o", "\u001b[H\u001b[2J\u001b[3J"] -[31.722738, "o", "Total: 27600\r\nRuntime: 22 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n"] -[31.722879, "o", " │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[31.826059, "o", "\u001b[H\u001b[2J\u001b[3J"] -[31.82672, "o", "Total: 27800\r\nRuntime: 22 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[31.949521, "o", "\u001b[H\u001b[2J\u001b[3J"] -[31.950074, "o", "Total: 28000\r\nRuntime: 22 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n"] -[31.950228, "o", " │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[32.054064, "o", "\u001b[H\u001b[2J\u001b[3J"] -[32.054546, "o", "Total: 28200\r\nRuntime: 22 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n"] -[32.054699, "o", " │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[32.159264, "o", "\u001b[H\u001b[2J\u001b[3J"] -[32.159791, "o", "Total: 28400\r\nRuntime: 22 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n"] -[32.159934, "o", " │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[32.267038, "o", "\u001b[H\u001b[2J\u001b[3J"] -[32.267597, "o", "Total: 28600\r\nRuntime: 23 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n"] -[32.267725, "o", " │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[32.372321, "o", "\u001b[H\u001b[2J\u001b[3J"] -[32.372811, "o", "Total: 28800\r\nRuntime: 23 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n"] -[32.372924, "o", " │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[32.488625, "o", "\u001b[H\u001b[2J\u001b[3J"] -[32.489008, "o", "Total: 29000\r\nRuntime: 23 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n"] -[32.489172, "o", " │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[32.596762, "o", "\u001b[H\u001b[2J\u001b[3J"] -[32.597214, "o", "Total: 29200\r\nRuntime: 23 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n"] -[32.597329, "o", " │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[32.704136, "o", "\u001b[H\u001b[2J\u001b[3J"] -[32.704728, "o", "Total: 29400\r\nRuntime: 23 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n"] -[32.704889, "o", " │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[32.812243, "o", "\u001b[H\u001b[2J\u001b[3J"] -[32.812737, "o", "Total: 29600\r\nRuntime: 23 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n"] -[32.812946, "o", " │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[32.925347, "o", "\u001b[H\u001b[2J\u001b[3J"] -[32.925873, "o", "Total: 29800\r\nRuntime: 23 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n"] -[32.925978, "o", " │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[33.035227, "o", "\u001b[H\u001b[2J\u001b[3J"] -[33.035712, "o", "Total: 30000\r\nRuntime: 23 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n"] -[33.035851, "o", " │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[33.149101, "o", "\u001b[H\u001b[2J\u001b[3J"] -[33.14984, "o", "Total: 30200\r\nRuntime: 23 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n"] -[33.149965, "o", " │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[33.265082, "o", "\u001b[H\u001b[2J\u001b[3J"] -[33.265767, "o", "Total: 30400\r\nRuntime: 24 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n"] -[33.265862, "o", " │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[33.376619, "o", "\u001b[H\u001b[2J\u001b[3J"] -[33.377289, "o", "Total: 30600\r\nRuntime: 24 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n"] -[33.377371, "o", " └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[33.507592, "o", "\u001b[H\u001b[2J\u001b[3J"] -[33.508104, "o", "Total: 30800\r\nRuntime: 24 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n"] -[33.508207, "o", " └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[33.621187, "o", "\u001b[H\u001b[2J\u001b[3J"] -[33.621716, "o", "Total: 31000\r\nRuntime: 24 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n"] -[33.621859, "o", " │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[33.734764, "o", "\u001b[H\u001b[2J\u001b[3J"] -[33.735202, "o", "Total: 31200\r\nRuntime: 24 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n"] -[33.735364, "o", " │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[33.847903, "o", "\u001b[H\u001b[2J\u001b[3J"] -[33.848397, "o", "Total: 31400\r\nRuntime: 24 s\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n"] -[33.848534, "o", " │ │ └──resolution=high\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ │ └──resolution=standard\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n │ └──resolution=standard,high\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n └──resolution=high\r\n"] -[33.951751, "o", "\u001b[H\u001b[2J\u001b[3J"] -[33.952159, "o", "Total: 31475\r\nRuntime: 0 mins\r\n└──\r\n └──class=d1\r\n └──dataset=climate-dt\r\n ├──activity=highresmip\r\n │ └──experiment=cont\r\n │ └──generation=1\r\n │ └──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=0001\r\n │ │ └──stream=clte\r\n"] -[33.952288, "o", " │ │ └──date=19920422\r\n │ └──expver=a16z\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n └──activity=cmip6\r\n └──experiment=hist\r\n └──generation=1\r\n ├──model=ifs-nemo\r\n │ └──realization=1\r\n │ ├──expver=a18j\r\n │ │ └──stream=clte\r\n │ │ └──date=19920422\r\n │ └──expver=0001\r\n │ └──stream=clte\r\n │ └──date=19920422\r\n └──model=icon\r\n └──realization=1\r\n └──expver=0001\r\n └──stream=clte\r\n └──date=19920422\r\n"] -[34.079052, "o", "\u001b[?2004h\u001b]0;eouser@stac-test: ~/catalogs/backend\u0007\u001b[01;32meouser@stac-test\u001b[00m:\u001b[01;34m~/catalogs/backend\u001b[00m$ "] -[37.231121, "o", "\u001b[?2004l\r\r\nexit\r\n"] diff --git a/cache/fdb_schema/__init__.py b/cache/fdb_schema/__init__.py deleted file mode 100644 index 56160a5..0000000 --- a/cache/fdb_schema/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .fdb_schema_parser import FDBSchema, FDBSchemaFile, KeySpec, Key diff --git a/cache/fdb_schema/fdb_schema_parser.py b/cache/fdb_schema/fdb_schema_parser.py deleted file mode 100644 index 852c1bb..0000000 --- a/cache/fdb_schema/fdb_schema_parser.py +++ /dev/null @@ -1,375 +0,0 @@ -import dataclasses -import json -from dataclasses import dataclass, field -from typing import Any - -import pe -from pe.actions import Pack -from pe.operators import Class, Star - -from .fdb_types import FDB_type_to_implementation, FDBType - - -@dataclass(frozen=True) -class KeySpec: - """ - Represents the specification of a single key in an FDB schema file. For example in - ``` - [ class, expver, stream=lwda, date, time, domain? - [ type=ofb/mfb/oai - [ obsgroup, reportype ]]] - ``` - class, expver, type=ofdb/mfb/oai etc are the KeySpecs - - These can have additional information such as: flags like `domain?`, allowed values like `type=ofb/mfb/oai` - or specify type information with `date: ClimateMonthly` - - """ - - key: str - type: FDBType = field(default_factory=FDBType) - flag: str | None = None - values: tuple = field(default_factory=tuple) - comment: str = "" - - def __repr__(self): - repr = self.key - if self.flag: - repr += self.flag - # if self.type: - # repr += f":{self.type}" - if self.values: - repr += "=" + "/".join(self.values) - return repr - - def matches(self, key, value): - # Sanity check! - if self.key != key: - return False - - # Some keys have a set of allowed values type=ofb/mfb/oai - if self.values: - if value not in self.values: - return False - - # Check the formatting of values like Time or Date - if self.type and not self.type.validate(value): - return False - - return True - - def is_optional(self): - if self.flag is None: - return False - return "?" in self.flag - - def is_allable(self): - if self.flag is None: - return False - return "*" in self.flag - - -@dataclass(frozen=True) -class Comment: - "Represents a comment node in the schema" - - value: str - - -@dataclass(frozen=True) -class FDBSchemaTypeDef: - "Mapping between FDB schema key names and FDB Schema Types, i.e expver is of type Expver" - - key: str - type: str - - -# This is the schema grammar written in PEG format -fdb_schema = pe.compile( - r""" - FDB < Line+ EOF - Line < Schema / Comment / TypeDef / empty - - # Comments - Comment <- "#" ~non_eol* - non_eol <- [\x09\x20-\x7F] / non_ascii - non_ascii <- [\x80-\uD7FF\uE000-\U0010FFFF] - - # Default Type Definitions - TypeDef < String ":" String ";" - - # Schemas are the main attraction - # They're a tree of KeySpecs. - Schema < "[" KeySpecs (","? Schema)* "]" - - # KeySpecs can be just a name i.e expver - # Can also have a type expver:int - # Or a flag expver? - # Or values expver=xxx - KeySpecs < KeySpec_ws ("," KeySpec_ws)* - KeySpec_ws < KeySpec - KeySpec <- key:String (flag:Flag)? (type:Type)? (values:Values)? ([ ]* comment:Comment)? - Flag <- ~("?" / "-" / "*") - Type <- ":" [ ]* String - Values <- "=" Value ("/" Value)* - - # Low level stuff - Value <- ~([-a-zA-Z0-9_]+) - String <- ~([a-zA-Z0-9_]+) - EOF <- !. - empty <- "" - """, - actions={ - "Schema": Pack(tuple), - "KeySpec": KeySpec, - "Values": Pack(tuple), - "Comment": Comment, - "TypeDef": FDBSchemaTypeDef, - }, - ignore=Star(Class("\t\f\r\n ")), - # flags=pe.DEBUG, -) - - -def post_process(entries): - "Take the raw output from the PEG parser and split it into type definitions and schema entries." - typedefs = {} - schemas = [] - for entry in entries: - match entry: - case c if isinstance(c, Comment): - pass - case t if isinstance(t, FDBSchemaTypeDef): - typedefs[t.key] = t.type - case s if isinstance(s, tuple): - schemas.append(s) - case _: - raise ValueError - return typedefs, tuple(schemas) - - -def determine_types(types, node): - "Recursively walk a schema tree and insert the type information." - if isinstance(node, tuple): - return [determine_types(types, n) for n in node] - return dataclasses.replace(node, type=types.get(node.key, FDBType())) - - -@dataclass -class Key: - key: str - value: Any - key_spec: KeySpec - reason: str - - def str_value(self): - return self.key_spec.type.format(self.value) - - def __bool__(self): - return self.reason in {"Matches", "Skipped", "Select All"} - - def emoji(self): - return {"Matches": "✅", "Skipped": "⏭️", "Select All": "★"}.get( - self.reason, "❌" - ) - - def info(self): - return f"{self.emoji()} {self.key:<12}= {str(self.value):<12} ({self.key_spec}) {self.reason if not self else ''}" - - def __repr__(self): - return f"{self.key}={self.key_spec.type.format(self.value)}" - - def as_json(self): - return dict( - key=self.key, - value=self.str_value(), - reason=self.reason, - ) - - -class FDBSchema: - """ - Represents a parsed FDB Schema file. - Has methods to validate and convert request dictionaries to a mars request form with validation and type information. - """ - - def __init__(self, string, defaults: dict[str, str] = {}): - """ - 1. Use a PEG parser on a schema string, - 2. Separate the output into schemas and typedefs - 3. Insert any concrete implementations of types from fdb_types.py defaulting to generic string type - 4. Walk the schema tree and annotate it with type information. - """ - m = fdb_schema.match(string) - g = list(m.groups()) - self._str_types, schemas = post_process(g) - self.types = { - key: FDB_type_to_implementation[type] - for key, type in self._str_types.items() - } - self.schemas = determine_types(self.types, schemas) - self.defaults = defaults - - def __repr__(self): - return json.dumps( - dict(schemas=self.schemas, defaults=self.defaults), indent=4, default=repr - ) - - @classmethod - def consume_key( - cls, key_spec: KeySpec, request: dict[str, Any] - ) -> Key: - key = key_spec.key - try: - value = request[key] - except KeyError: - if key_spec.is_optional(): - return Key(key_spec.key, "", key_spec, "Skipped") - if key_spec.is_allable(): - return Key(key_spec.key, "", key_spec, "Select All") - else: - return Key( - key_spec.key, "", key_spec, "Key Missing" - ) - - if key_spec.matches(key, value): - return Key( - key_spec.key, - key_spec.type.parse(value), - key_spec, - "Matches", - ) - else: - return Key( - key_spec.key, value, key_spec, "Incorrect Value" - ) - - @classmethod - def _DFS_match( - cls, tree: list, request: dict[str, Any] - ) -> tuple[bool | list, list[Key]]: - """Do a DFS on the schema tree, returning the deepest matching path - At each stage return whether we matched on this path, and the path itself. - - When traversing the tree there are three cases to consider: - 1. base case [] - 2. one schema [k, k, k, [k, k, k]] - 3. list of schemas [[k,k,k], [k,k,k], [k,k,k]] - """ - # Case 1: Base Case - if not tree: - return True, [] - - # Case 2: [k, k, k, [k, k, k]] - if isinstance(tree[0], KeySpec): - node, *tree = tree - # Check if this node is in the request - match_result = cls.consume_key(node, request) - - # If if isn't then terminate this path here - if not match_result: - return False, [match_result,] # fmt: skip - - # Otherwise continue walking the tree and return the best result - matched, path = cls._DFS_match(tree, request) - - # Don't put the key in the path if it's optional and we're skipping it. - if match_result.reason != "Skipped": - path = [match_result,] + path # fmt: skip - - return matched, path - - # Case 3: [[k, k, k], [k, k, k]] - branches = [] - for branch in tree: - matched, branch_path = cls._DFS_match(branch, request) - - # If this branch matches, terminate the DFS and use this. - if matched: - return branch, branch_path - else: - branches.append(branch_path) - - # If no branch matches, return the one with the deepest match - return False, max(branches, key=len) - - @classmethod - def _DFS_match_all( - cls, tree: list, request: dict[str, Any] - ) -> list[list[Key]]: - """Do a DFS on the schema tree, returning all matching paths or partial matches. - At each stage return all matching paths and the deepest partial matches. - - When traversing the tree there are three cases to consider: - 1. base case [] - 2. one schema [k, k, k, [k, k, k]] - 3. list of schemas [[k,k,k], [k,k,k], [k,k,k]] - """ - # Case 1: Base Case - if not tree: - return [[]] - - # Case 2: [k, k, k, [k, k, k]] - if isinstance(tree[0], KeySpec): - node, *tree = tree - # Check if this node is in the request - request_values = request.get(node.key, None) - - if request_values is None: - # If the key is not in the request, return a partial match with Key Missing - return [[Key(node.key, "", node, "Key Missing")]] - - # If the request value is a list, try to match each value - if isinstance(request_values, list): - all_matches = [] - for value in request_values: - match_result = cls.consume_key(node, {node.key: value}) - - if match_result: - sub_matches = cls._DFS_match_all(tree, request) - for match in sub_matches: - if match_result.reason != "Skipped": - match.insert(0, match_result) - all_matches.append(match) - - return all_matches if all_matches else [[Key(node.key, "", node, "No Match Found")]] - else: - # Handle a single value - match_result = cls.consume_key(node, request) - - # If it isn't then return a partial match with Key Missing - if not match_result: - return [[Key(node.key, "", node, "Key Missing")]] - - # Continue walking the tree and get all matches - all_matches = cls._DFS_match_all(tree, request) - - # Prepend the current match to all further matches - for match in all_matches: - if match_result.reason != "Skipped": - match.insert(0, match_result) - - return all_matches - - # Case 3: [[k, k, k], [k, k, k]] - all_branch_matches = [] - for branch in tree: - branch_matches = cls._DFS_match_all(branch, request) - all_branch_matches.extend(branch_matches) - - # Return all of the deepest partial matches or complete matches - return all_branch_matches - - def match_all(self, request: dict[str, Any]): - request = request | self.defaults - return self._DFS_match_all(self.schemas, request) - - def match(self, request: dict[str, Any]): - request = request | self.defaults - return self._DFS_match(self.schemas, request) - - -class FDBSchemaFile(FDBSchema): - def __init__(self, path: str): - with open(path, "r") as f: - return super().__init__(f.read()) diff --git a/cache/fdb_schema/fdb_types.py b/cache/fdb_schema/fdb_types.py deleted file mode 100644 index 05093db..0000000 --- a/cache/fdb_schema/fdb_types.py +++ /dev/null @@ -1,83 +0,0 @@ -from dataclasses import dataclass -from typing import Any -import re -from collections import defaultdict -from datetime import datetime, date, time - - -@dataclass(repr=False) -class FDBType: - """ - Holds information about how to format and validate a given FDB Schema type like Time or Expver - This base type represents a string and does no validation or formatting. It's the default type. - """ - - name: str = "String" - - def __repr__(self) -> str: - return self.name - - def validate(self, s: Any) -> bool: - try: - self.parse(s) - return True - except (ValueError, AssertionError): - return False - - def format(self, s: Any) -> str: - return str(s).lower() - - def parse(self, s: str) -> Any: - return s - - -@dataclass(repr=False) -class Expver_FDBType(FDBType): - name: str = "Expver" - - def parse(self, s: str) -> str: - assert bool(re.match(".{4}", s)) - return s - - -@dataclass(repr=False) -class Time_FDBType(FDBType): - name: str = "Time" - time_format = "%H%M" - - def format(self, t: time) -> str: - return t.strftime(self.time_format) - - def parse(self, s: datetime | str | int) -> time: - if isinstance(s, str): - assert len(s) == 4 - return datetime.strptime(s, self.time_format).time() - if isinstance(s, datetime): - return s.time() - return self.parse(f"{s:04}") - - -@dataclass(repr=False) -class Date_FDBType(FDBType): - name: str = "Date" - date_format: str = "%Y%m%d" - - def format(self, d: Any) -> str: - if isinstance(d, date): - return d.strftime(self.date_format) - if isinstance(d, int): - return f"{d:08}" - else: - return d - - def parse(self, s: datetime | str | int) -> date: - if isinstance(s, str): - return datetime.strptime(s, self.date_format).date() - elif isinstance(s, datetime): - return s.date() - return self.parse(f"{s:08}") - - -FDB_type_to_implementation = defaultdict(lambda: FDBType()) | { - cls.name: cls() for cls in [Expver_FDBType, Time_FDBType, Date_FDBType] -} diff --git a/cache/list_entire_fdb.py b/cache/list_entire_fdb.py deleted file mode 100644 index d556238..0000000 --- a/cache/list_entire_fdb.py +++ /dev/null @@ -1,77 +0,0 @@ -#! catalogs/.venv/bin/python -import time -from collections import defaultdict -import os -from fdb_schema import FDBSchemaFile -os.environ["FDB5_CONFIG_FILE"] = "/home/eouser/prod_remoteFDB.yaml" -import json - -schema = FDBSchemaFile("/home/eouser/catalogs/backend/destinE_schema") - -import pyfdb -from collections import Counter -import os, sys -from pathlib import Path -from datetime import datetime - -from compress_tree import print_schema_tree, compress_tree - -request = { - "class": "d1", -} - -t0 = time.time() - -fdb = pyfdb.FDB() -spans = defaultdict(set) -tree = {} - -total = 0 -for item in fdb.list(request, keys = True): - request = item["keys"] - _, m = schema.match(request) - loc = tree - for kv in m: - k = f'{kv.key}={kv.str_value()}' - # loc["_count"] = loc.get("_count", 0) + 1 - if k not in loc: loc[k] = {} - loc = loc[k] - - total += 1 - - if total % 10_000 == 0: - os.system("clear") - print(f"Total: {total/1e3:.0f} thousand") - print(f"Runtime: {(time.time() - t0):.0f} s") - - print() - print(f"Last request:") - for k, v in request.items(): - print(f"{k} : {v}") - # sys.exit() - - if total % 1000_000 == 0: - print("Dumping cache to cache.json") - with open("cache.json", "w") as f: - json.dump(tree, f) - - - - - -os.system("clear") -print(f"Total: {total}") -print(f"Runtime: {(time.time() - t0) / 60:.0f} mins") - -cache = Path("cache.json") -if cache.exists(): - backup = Path(f"backups/cache.json.backup.{datetime.now().strftime('%d.%m.%Y')}") - print(f"Moving cache to {backup}") - cache.rename(backup) - -print("Dumping cache to cache.json") -with open("cache.json", "w") as f: - json.dump(tree, f) - -print("Done") -sys.exit() diff --git a/cache/pretty_compressed_cache.txt b/cache/pretty_compressed_cache.txt deleted file mode 100644 index f55855e..0000000 --- a/cache/pretty_compressed_cache.txt +++ /dev/null @@ -1,305 +0,0 @@ -date_0 : date=19910410,19920514,19920519,19920527,19920617,19920625,19920626,19920629,19920720,19920724 -date_1 : date=19910614,19920430,19920517 -date_2 : date=19910703,19920525,19920601,19920605 -date_3 : date=19910723,19920619,19920702,19920713,19920715 -date_4 : date=19920423,19920529,19920618,19920704 -date_5 : date=19920424,19920511,19920603,19920620,19920726 -date_6 : date=19920425,19920428,19920507,19920607,19920611,19920701,19920712,19920721,19920725 -date_7 : date=19920426,19920502,19920503,19920510,19920628,19920716,19920718 -date_8 : date=19920427,19920508,19920516,19920622,19920708,19920801 -date_9 : date=19920429,19920614,19920703,19920710,19920727 -date_10 : date=19920501,19920512,19920522,19920524 -date_11 : date=19920504,19920623,19920709,19920711 -date_12 : date=19920505,19920515,19920531,19920610,19920612,19920615 -date_13 : date=19920506,19920717,19920722 -date_14 : date=19920509,19920608,19920627 -date_15 : date=19920513,19920520,19920613 -date_16 : date=19920518,19920602,19920719 -date_17 : date=20200102,20200103,20200104,20200105,20200106,20200107,20200108,20200109,20200110,20200111,20200112,20200113,20200114,20200115,20200116,20200117,20200118,20200119,20200120,20200121,20200122,20200123,20200124,20200125,20200126,20200127,20200128,20200129,20200130,20200131,20200201,20200202,20200203,20200204,20200205,20200206,20200207,20200208,20200209,20200210,20200211,20200212,20200213,20200214,20200215,20200216,20200217,20200218,20200219,20200220,20200221,20200222,20200223,20200224,20200225,20200226,20200227,20200228,20200229,20200301,20200302,20200303,20200304,20200305,20200306,20200307,20200308,20200309,20200310,20200311,20200312,20200313,20200314,20200315,20200316,20200317,20200318,20200319,20200320,20200321,20200322,20200323,20200324,20200325,20200326,20200327,20200328,20200329,20200330,20200331,20200401,20200402,20200403,20200404,20200405,20200406,20200407,20200408,20200409,20200410,20200411,20200412,20200413,20200414,20200415,20200416,20200417,20200418,20200419,20200420,20200421,20200422,20200423,20200424,20200425,20200426,20200427,20200428,20200429,20200430,20200501,20200502,20200503,20200504,20200505,20200506,20200507,20200508,20200509,20200510,20200511,20200512,20200513,20200514,20200515,20200516,20200517,20200518,20200519,20200520,20200521,20200522,20200523,20200524,20200525,20200526,20200527,20200528,20200529,20200530,20200531,20200601,20200602,20200603,20200604,20200605,20200606,20200607,20200608,20200609,20200610,20200611,20200612,20200613,20200614,20200615,20200616,20200617,20200618,20200619,20200620,20200621,20200622,20200623,20200624,20200625,20200626,20200627,20200628,20200629,20200630,20200701,20200702,20200703,20200704,20200705,20200706,20200707,20200708,20200709,20200710,20200711,20200712,20200713,20200714,20200715,20200716,20200717,20200718,20200719,20200720,20200721,20200722,20200723,20200724,20200725,20200726,20200727,20200728,20200729,20200730,20200731,20200801,20200802,20200803,20200804,20200805,20200806,20200807,20200808,20200809,20200810,20200811,20200812,20200813,20200814,20200815,20200816,20200817,20200818,20200819,20200820,20200821,20200822,20200823,20200824,20200825,20200826,20200827,20200828,20200829,20200830,20200831,20200901,20200902,20200903,20200904,20200905,20200906,20200907,20200908,20200909,20200910,20200911,20200912,20200913,20200914,20200915,20200916,20200917,20200918,20200919,20200920,20200921,20200922,20200923,20200924,20200925,20200926,20200927,20200928,20200929,20200930,20201001,20201002,20201003,20201004,20201005,20201006,20201007,20201008,20201009,20201010,20201011,20201012,20201013,20201014,20201015,20201016,20201017,20201018,20201019,20201020,20201021,20201022,20201023,20201024,20201025,20201026,20201027,20201028,20201029,20201030,20201031,20201101,20201102,20201103,20201104,20201105,20201106,20201107,20201108,20201109,20201110,20201111,20201112,20201113,20201114,20201115,20201116,20201117,20201118,20201119,20201120,20201121,20201122,20201123,20201124,20201125,20201126,20201127,20201128,20201129,20201130,20201201,20201202,20201203,20201204,20201205,20201206,20201207,20201208,20201209,20201210,20201211,20201212,20201213,20201214,20201215,20201216,20201217,20201218,20201219,20201220,20201221,20201222,20201223,20201224,20201225,20201226,20201227,20201228,20201229,20201230,20201231,20210101,20210102,20210103,20210104,20210105,20210106,20210107,20210108,20210109,20210110,20210111,20210112,20210113,20210114,20210115,20210116,20210117,20210118,20210119,20210120,20210121,20210122,20210123,20210124,20210125,20210126,20210127,20210128,20210129,20210130,20210131,20210201,20210202,20210203,20210204,20210205,20210206,20210207,20210208,20210209,20210210,20210211,20210212,20210213,20210214,20210215,20210216,20210217,20210218,20210219,20210220,20210221,20210222,20210223,20210224,20210225,20210226,20210227,20210228,20210301,20210302,20210303,20210304,20210305,20210306,20210307,20210308,20210309,20210310,20210311,20210312,20210313,20210314,20210315,20210316,20210317,20210318,20210319,20210320,20210321,20210322,20210323,20210324,20210325,20210326,20210327,20210328,20210329,20210330,20210331,20210401,20210402,20210403,20210404,20210405,20210406,20210407,20210408,20210409,20210410,20210411,20210412,20210413,20210414,20210415,20210416,20210417,20210418,20210419,20210420,20210421,20210422,20210423,20210424,20210425,20210426,20210427,20210428,20210429,20210430,20210501,20210502,20210503,20210504,20210505,20210506,20210507,20210508,20210509,20210510,20210511,20210512,20210513,20210514,20210515,20210516,20210517,20210518,20210519,20210520,20210521,20210522,20210523,20210524,20210525,20210526,20210527,20210528,20210529,20210530,20210531,20210601,20210602,20210603,20210604,20210605,20210606,20210607,20210608,20210609,20210610,20210611,20210612,20210613,20210614,20210615,20210616,20210617,20210618,20210619 -levelist_1 : levelist=10,11,12,13,14,15,16,17,18,19,1,20,21,22,23,24,25,26,27,28,29,2,30,31,32,33,34,35,36,37,38,39,3,40,41,42,43,44,45,46,47,48,49,4,50,51,52,53,54,55,56,57,58,59,5,60,61,62,63,64,65,66,67,68,69,6,70,71,72,7,8,9 -levelist_2 : levelist=10,11,12,13,14,15,16,17,18,19,1,20,21,22,23,24,25,26,27,28,29,2,30,31,32,33,34,35,36,37,38,39,3,40,41,42,43,44,45,46,47,48,49,4,50,51,52,53,54,55,56,57,58,59,5,60,61,62,63,64,65,66,67,68,69,6,70,71,72,73,7,8,9 -levelist_6 : levelist=10,11,12,13,14,15,16,17,18,19,1,20,21,22,23,24,25,26,27,28,29,2,30,31,32,33,34,35,36,37,38,39,3,40,41,42,43,44,45,46,47,48,49,4,50,51,52,53,54,55,56,57,58,59,5,60,61,62,63,64,65,66,67,68,69,6,70,71,72,73,74,75,7,8,9 -levelist_3 : levelist=100,10,1,20,30,50,5,70 -levelist_4 : levelist=100,10,150,1,20,30,50,5,70 -levelist_5 : levelist=100,10,150,1,200,20,250,300,30,50,5,70 -levelist_0 : levelist=1000,100,10,150,1,200,20,250,300,30,400,500,50,5,600,700,70,850,925 -param_2 : param=0,263500,263501,263505,263506 -param_1 : param=129,130,131,132,133,135,157,246 -param_9 : param=129,130,131,132,133,135,157,246,60 -param_11 : param=129,172,134,137,141,144,146,147,148,151,159,164,165,166,167,168,169,175,176,177,178,179,180,181,182,186,187,188,212,228,235,260048,78,79,8,9 -param_0 : param=130,134,137,146,147,151,165,166,167,168,169,175,176,177,178,179,228164,235,260048,260654,260655,78,79 -param_12 : param=134,137,141,144,146,147,148,151,159,164,165,166,167,168,169,175,176,177,178,179,180,181,182,186,187 -param_8 : param=134,137,141,144,146,147,148,151,159,164,165,166,167,168,169,175,176,177,178,179,180,181,182,186,187,188,212,228,235,260048,78,79,8,9 -param_10 : param=263000,263001,263003,263004,263008,263009,263021,263022,263100,263101,263121,263122,263124 -param_7 : param=263000,263001,263003,263004,263008,263009,263100,263101,263121,263122,263124 -param_3 : param=263000,263001,263003,263004,263009,263114,263124 -param_4 : param=263500,263501,263505,263506 -param_6 : param=263500,263501,263505,263506,263507 -param_5 : param=263500,263501,263505,263506,263507,0 -time_1 : time=0000,0100,0200,0300,0400,0500,0600,0700,0800,0900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900 -time_6 : time=0000,0100,0200,0300,0400,0500,0600,0700,0800,0900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000,2100 -time_2 : time=0000,0100,0200,0300,0400,0500,0600,0700,0800,0900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000,2100,2200 -time_0 : time=0000,0100,0200,0300,0400,0500,0600,0700,0800,0900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000,2100,2200,2300 -time_4 : time=0100,0200,0300,0400,0500,0600,0700,0800,0900,1000,1100 -time_3 : time=0100,0200,0300,0400,0500,0600,0700,0800,0900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000,2100,2200,2300 -time_5 : time=1200,1300,1400,1500,1600,1700,1800,1900,2000,2100,2200,2300 -[class=d1, dataset=climate-dt, - [ activity=cmip6, experiment=hist, generation=1, - [ model=icon, realization=1, - [ expver=0001, stream=clte, - [ date_0, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, - [ levelist_1, param_2, - [ levelist=73, param=0, - [ levtype=o2d, time=0000, param_3, - [ date_1, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=o2d, time=0000, param_3, - [ date_2, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=o3d, time=0000, levelist_1, param_4, - [ levtype=o2d, time=0000, param_3, - [ date_3, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, - [ levelist_1, param_2, - [ levelist=73, param=0, - [ date=19920420,19920616, resolution=high, type=fc, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, levelist_2, param=0, - [ levtype=o2d, time=0000, param_3, - [ date=19920421, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, time_0, levelist_0, param_1, - [ date=19920422, resolution=high, type=fc, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, levelist_2, param=0, - [ date_4, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o2d, time=0000, param_3, - [ date_5, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=o3d, time=0000, - [ levelist_1, param_2, - [ levelist=73, param=0, - [ date_6, resolution=high, type=fc, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, - [ levelist_1, param_2, - [ levelist=73, param=0, - [ levtype=o2d, time=0000, param_3, - [ date_7, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=o3d, time=0000, - [ levelist_1, param_2, - [ levelist=73, param=0, - [ levtype=o2d, time=0000, param_3, - [ date_8, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, levelist_1, param_4, - [ levtype=o2d, time=0000, param_3, - [ date_9, resolution=high, type=fc, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, levelist_1, param_4, - [ levtype=o2d, time=0000, param_3, - [ date_10, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=o3d, time=0000, levelist_1, param_4, - [ date_11, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, levelist_2, param=0, - [ date_12, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, levelist_2, param=0, - [ levtype=o2d, time=0000, param_3, - [ date_13, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, levelist_1, param_4, - [ date_14, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=o3d, time=0000, levelist_2, param=0, - [ date_15, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=o3d, time=0000, levelist_2, param=0, - [ levtype=o2d, time=0000, param_3, - [ date_16, resolution=high, type=fc, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o2d, time=0000, param_3, - [ date=19920521,19920523, resolution=high, type=fc, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, levelist_1, param_4, - [ date=19920526,19920706, resolution=high, type=fc, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, - [ levelist_1, param_2, - [ levelist=73, param=0, - [ date=19920528, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=o3d, time=0000, - [ levelist_1, param_2, - [ levelist=73, param=0, - [ levtype=o2d, time=0000, param_3, - [ levtype=pl, - [ time=0000, levelist_0, param_1, - [ time=0100, - [ levelist_3, param_1, - [ levelist=150, param=129,130,131,132,133,135, - [ date=19920530,19920609, resolution=high, type=fc, levtype=o3d, time=0000, levelist_2, param=0, - [ date=19920604,19920723, resolution=high, type=fc, levtype=pl, time_0, levelist_0, param_1, - [ date=19920606, resolution=high, type=fc, levtype=o2d, time=0000, param_3, - [ date=19920621, resolution=high, type=fc, - [ levtype=o3d, time=0000, - [ levelist_1, param_2, - [ levelist=73, param=0, - [ levtype=pl, - [ time_1, levelist_0, param_1, - [ time=2000, - [ levelist_4, param_1, - [ levelist=200, param=129,130,131,132,133,135, - [ levtype=o2d, time=0000, param_3, - [ date=19920624,19920707, resolution=high, type=fc, - [ levtype=o3d, time=0000, levelist_1, param_4, - [ levtype=o2d, time=0000, param_3, - [ date=19920630, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, - [ time_2, levelist_0, param_1, - [ time=2300, levelist=1, param=129,130,131, - [ levtype=o3d, time=0000, levelist_2, param=0, - [ date=19920705, resolution=high, type=fc, - [ levtype=o3d, time=0000, - [ levelist_1, param_2, - [ levelist=73, param=0, - [ levtype=o2d, time=0000, param_3, - [ date=19920714, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, - [ time_2, levelist_0, param_1, - [ time=2300, - [ levelist_5, param_1, - [ levelist=400, param=129,130,131,132, - [ levtype=o3d, time=0000, - [ levelist_1, param_2, - [ levelist=73, param=0, - [ levtype=o2d, time=0000, param_3, - [ date=19920728,19920731, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, - [ levelist_1, param_5, - [ levelist=73, param=263507,0, - [ levtype=o2d, time=0000, param_3, - [ date=19920729,19920730, resolution=high, type=fc, - [ levtype=sfc, time_0, param_0, - [ levtype=pl, time_0, levelist_0, param_1, - [ levtype=o3d, time=0000, - [ levelist_1, param_6, - [ levelist=73, param=263507, - [ levtype=o2d, time=0000, param_3, - [ expver=t002, stream=clte, date=19900101, resolution=standard, type=fc, levtype=o2d, time=0000, param_7, - [ model=ifs-nemo, realization=1, - [ expver=0001, stream=clte, date=19900101, resolution=standard,high, type=fc, - [ levtype=sol, time_0, levelist=1,2,3,4,5, param=228141, - [ levtype=sfc, time_0, param_8, - [ levtype=pl, time_0, levelist_0, param_9, - [ levtype=o3d, time=0000, levelist_6, param_6, - [ levtype=o2d, time=0000, param_10, - [ levtype=hl, time_0, levelist=100, param=228246,228247, - [ expver=a0tn, stream=clte, - [ date=20200101, - [ resolution=standard, type=fc, - [ levtype=sol, time_0, levelist=1,2,3,4,5, param=228141, - [ levtype=sfc, time_0, param_8, - [ levtype=pl, time_0, levelist_0, param_9, - [ levtype=o3d, time=0000, levelist_6, param_6, - [ levtype=o2d, time=0000, param_10, - [ levtype=hl, time_0, levelist=100, param=228246,228247, - [ resolution=high, type=fc, - [ levtype=o3d, time=0000, levelist_6, param_6, - [ levtype=o2d, time=0000, param_10, - [ date=20200102, resolution=standard, type=fc, levtype=hl, time_0, levelist=100, param=228246,228247, - [ expver=t001, stream=clte, - [ date=19900101, - [ resolution=standard, type=fc, - [ levtype=o2d, time=0000, param=263000,263001, - [ levtype=hl, time_0, levelist=100, param=228246,228247, - [ levtype=sol, time_0, levelist=1,2,3,4,5, param=228141, - [ levtype=sfc, time_0, param_8, - [ levtype=pl, time_0, levelist_0, param_9, - [ levtype=o3d, time=0000, levelist_6, param_6, - [ resolution=high, type=fc, - [ levtype=o3d, time=0000, levelist_6, param_6, - [ levtype=o2d, time=0000, param_10, - [ date=19900102, - [ resolution=standard, type=fc, - [ levtype=hl, time_0, levelist=100, param=228246,228247, - [ levtype=sol, time_0, levelist=1,2,3,4,5, param=228141, - [ levtype=sfc, time_0, param_8, - [ levtype=pl, time_0, levelist_0, param_9, - [ levtype=o3d, time=0000, levelist_6, param_6, - [ resolution=high, type=fc, levtype=o3d, time=0000, levelist_6, param_6, - [ date=19900103,19900104, resolution=standard, type=fc, levtype=hl, time_0, levelist=100, param=228246,228247, - [ expver=t002, stream=clte, date=19900101, resolution=standard,high, type=fc, levtype=o2d, time=0000, param_7, - [ expver=t003, stream=clte, date=19900101, resolution=standard, type=fc, levtype=o2d, time=0000, param_7, - [ activity=scenariomip, experiment=ssp3-7.0, generation=1, - [ model=icon, realization=1, expver=t004, stream=clte, date=20200101, resolution=high, type=fc, levtype=sfc, time_2, param=228004,167, - [ model=ifs-nemo, realization=1, expver=0001, stream=clte, - [ date=20200101, - [ resolution=standard, type=fc, - [ levtype=sfc, - [ time=0000, param_11, - [ time_3, param_8, - [ levtype=sol, time_0, levelist=1,2,3,4,5, param=228141, - [ levtype=pl, time_0, levelist_0, param_9, - [ levtype=o3d, time=0000, levelist_6, param_6, - [ levtype=o2d, time=0000, param_10, - [ levtype=hl, time_0, levelist=100, param=228246,228247, - [ resolution=high, type=fc, - [ levtype=sfc, - [ time=0000, - [ param_11, - [ levelist=150,5, param=60, - [ levelist=500,70, param=135, - [ time_4, - [ param_8, - [ levelist=150,5, param=60, - [ levelist=500,70, param=135, - [ time_5, - [ param_8, - [ levelist=10, param=157, - [ levelist=150,5, param=60, - [ levelist=500,70, param=135, - [ levtype=sol, - [ time_6, levelist=1,2,3,4,5, param=228141, - [ time=2200,2300, - [ levelist=1,2,3,4,5, param=228141, - [ param=181, - [ levtype=pl, time_0, levelist_0, param_9, - [ levtype=o3d, time=0000, levelist_6, param_6, - [ levtype=o2d, time=0000, param_10, - [ levtype=hl, time_0, levelist=100, param=228246,228247, - [ date_17, resolution=standard,high, type=fc, - [ levtype=sfc, - [ time=0000, param_11, - [ time_3, param_8, - [ levtype=sol, time_0, levelist=1,2,3,4,5, param=228141, - [ levtype=pl, time_0, levelist_0, param_9, - [ levtype=o3d, time=0000, levelist_6, param_6, - [ levtype=o2d, time=0000, param_10, - [ levtype=hl, time_0, levelist=100, param=228246,228247, - [ date=20210620, - [ resolution=standard, type=fc, - [ levtype=pl, time_0, levelist_0, param_9, - [ levtype=sfc, - [ time=0000, param_11, - [ time=0100,0200,0300,0400,0500, param_8, - [ time=0600, param_12, - [ resolution=high, type=fc, levtype=sfc, time=0000, param=129,172, \ No newline at end of file diff --git a/cache/raw_to_tree.py b/cache/raw_to_tree.py deleted file mode 100644 index 31058fd..0000000 --- a/cache/raw_to_tree.py +++ /dev/null @@ -1,41 +0,0 @@ -import time -from collections import defaultdict -import os -from fdb_schema import FDBSchemaFile -import json - -from compress_tree import print_schema_tree, compress_tree - -schema = FDBSchemaFile("/home/eouser/catalogs/backend/destinE_schema") - -tree = {} -i = 0 -t0 = time.time() -with open("raw_list", "r") as f: - for line in f.readlines(): - i += 1 - # if i > 100: break - if not line.startswith("{"): continue - line = line.strip().replace("{", "").replace("}", ",") - # d = dict((k.split("=") for k in line.split(",") if k)) - # _, m = schema.match(d) - loc = tree - for k in line.split(","): - if k: - if k not in loc: loc[k] = {} - loc = loc[k] - - if i % 10_000 == 0: - # compressed_tree = compress_tree(tree, max_level = None) - # with open("cache.json", "w") as f: - # json.dump(tree, f) - - os.system("clear") - print(f"Total: {i}") - print(f"Runtime: {(time.time() - t0):.0f} s") - # print_tree(tree, max_depth = 7) - # print_schema_tree(compressed_tree) - -with open("cache.json", "w") as f: - json.dump(tree, f) -print(tree) \ No newline at end of file diff --git a/cache/tree_to_compressed.py b/cache/tree_to_compressed.py deleted file mode 100644 index 4cd1bb5..0000000 --- a/cache/tree_to_compressed.py +++ /dev/null @@ -1,25 +0,0 @@ -from compress_tree import pretty_schema_tree, compress_tree -import json -from pathlib import Path - -print("Loading tree json...") -cache = Path("cache.json") -print(f"cache.json size is {cache.stat().st_size/1e6:.0f} MB") - -with open(cache, "r") as f: - tree = json.load(f) - -print("Compresssing...") -compressed_tree = compress_tree(tree, max_level = None) - -print("Saving compressed_tree.json") -compressed_cache = Path("compressed_cache.json") -with open(compressed_cache, "w") as f: - json.dump(compressed_tree, f) -print(f"compressed_cache.json size is {compressed_cache.stat().st_size/1e3:.0f} KB") - -print("Pretty printing") -pretty = pretty_schema_tree(compressed_tree) -# print(pretty) -with open("pretty_compressed_cache.txt", "w") as f: - f.write(pretty) \ No newline at end of file diff --git a/cache/update_cache.py b/cache/update_cache.py deleted file mode 100644 index 8bdfe38..0000000 --- a/cache/update_cache.py +++ /dev/null @@ -1,99 +0,0 @@ -#! catalogs/.venv/bin/python -import time -from collections import defaultdict -import os -from fdb_schema import FDBSchemaFile -os.environ["FDB5_CONFIG_FILE"] = "/home/eouser/prod_remoteFDB.yaml" -import json - -schema = FDBSchemaFile("/home/eouser/catalogs/backend/destinE_schema") - -import pyfdb -from collections import Counter -import os, sys -from pathlib import Path -from datetime import datetime - -from compress_tree import print_schema_tree, compress_tree - -request = { - "class": "d1", - "date" : "-14/-1", -} -t0 = time.time() - - -print("Loading cache.json") -with open("cache.json", "r") as f: - tree = json.load(f) -print(f"That tooks {(time.time() - t0)/60:.0f} mins") - - - -fdb = pyfdb.FDB() -spans = defaultdict(set) - -def print_tree(t : dict, last=True, header='', name='', depth = 0, max_depth = 9): - elbow = "└──" - pipe = "│ " - tee = "├──" - blank = " " - print(header + (elbow if last else tee) + name) - # if depth == max_depth: return - if t: - subtrees = set() - leaves = defaultdict(list) - for k, v in t.items(): - if k == "_count": continue - if depth < max_depth and isinstance(v, dict) and v: - subtrees.add(k) - else: - a, b = k.split("=") - leaves[a].append(b) - - leaves = {n:m for n,m in leaves.items() if n != "_count"} - for i, (name, vals) in enumerate(leaves.items()): - last = 1 == (len(leaves)-1) - print(header + blank + (tee if last else elbow) + f"{name}={','.join([str(v) for v in vals])}") - - for i, name in enumerate(subtrees): - print_tree(t[name], header=header + (blank if last else pipe), last= i == len(subtrees) - 1, name= name, depth = depth + 1, max_depth = max_depth) - - -total = 0 -for item in fdb.list(request, keys = True): - request = item["keys"] - _, m = schema.match(request) - loc = tree - for kv in m: - k = f'{kv.key}={kv.str_value()}' - if k not in loc: loc[k] = {} - loc = loc[k] - - - total += 1 - - if total % 100 == 0: - os.system("clear") - print(f"Total: {total}") - print(f"Runtime: {(time.time() - t0):.0f} s") - - -os.system("clear") -print(f"Total: {total}") -print(f"Runtime: {(time.time() - t0) / 60:.0f} mins") -print_tree(tree, max_depth = 4) - -print("Dumping tree to new_cache.json") -with open("new_cache.json", "w") as f: - json.dump(tree, f) - -print(f"Moving cache to backups/cache.json.backup.{datetime.now().strftime('%d.%m.%Y')}") -Path("cache.json").rename(f"backups/cache.json.backup.{datetime.now().strftime('%d.%m.%Y')}") - -print(f"Renaming new_cache.json to cache.json") -Path("new_cache.json").rename("cache.json") - -print(f"Done in {(time.time() - t0)/60:.0f} min") - - diff --git a/cache/view_cache.py b/cache/view_cache.py deleted file mode 100644 index a1ca173..0000000 --- a/cache/view_cache.py +++ /dev/null @@ -1,42 +0,0 @@ -import json -from compress_tree import print_schema_tree, compress_tree - -with open("./cache.json", "r") as f: - list_cache = json.load(f) - -request = { - "class" : "d1", - "dataset" : "climate-dt", - "activity": "cmip6", - "experiment" : "hist", - "generation" : "1", - "model" : "icon", - "realization" : "1", - "expver" : "0001", - "stream" : "clte", - "date" : "19910410", -} - -loc = list_cache -while True: - done = True - - for k, v in request.items(): - if f"{k}={v}" in loc: - print(f"{k}={v}") - loc = loc[f"{k}={v}"] - done = False - break - - if done: - break - -for k in loc.keys(): - k, v = k.split("=") - print(f'"{k}" : "{v}",') - -# compressed_tree = compress_tree(loc, max_level = 3) -# print_schema_tree(compressed_tree) - - - \ No newline at end of file