Version 4.5.0 is built against a prerelease versions of JupyterLab

[ykazakov]

Bug description

After updating jupyter-server-proxy to version 4.5.0, I noticed the following warnings in the browser console:

[Warning] Unsatisfied version 4.5.6 from _JUPYTERLAB.CORE_OUTPUT of shared singleton module @jupyterlab/application (required ^4.6.0-alpha.4) (remoteEntry.e3e4d0a8cd0a53aac60c.js, line 1)
[Warning] Unsatisfied version 4.5.10 from _JUPYTERLAB.CORE_OUTPUT of shared singleton module @jupyterlab/apputils (required ^4.7.0-alpha.4) (remoteEntry.e3e4d0a8cd0a53aac60c.js, line 1)
[Warning] Unsatisfied version 6.5.7 from _JUPYTERLAB.CORE_OUTPUT of shared singleton module @jupyterlab/coreutils (required ^6.6.0-alpha.4) (remoteEntry.e3e4d0a8cd0a53aac60c.js, line 1)
[Warning] Unsatisfied version 4.5.6 from _JUPYTERLAB.CORE_OUTPUT of shared singleton module @jupyterlab/filebrowser (required ^4.6.0-alpha.4) (remoteEntry.e3e4d0a8cd0a53aac60c.js, line 1)
[Warning] Unsatisfied version 4.5.6 from _JUPYTERLAB.CORE_OUTPUT of shared singleton module @jupyterlab/launcher (required ^4.6.0-alpha.4) (remoteEntry.e3e4d0a8cd0a53aac60c.js, line 1)
[Warning] Unsatisfied version 7.5.7 from _JUPYTERLAB.CORE_OUTPUT of shared singleton module @jupyterlab/services (required ^7.6.0-alpha.4) (remoteEntry.e3e4d0a8cd0a53aac60c.js, line 1)

I do not want to be forced installing an alpha version of Jupyterlab for the extension to work properly.

How to reproduce

1. Run conda install -c conda-forge jupyter-server-proxy
2. Open the browser console
3. Start jupyterlab
4. See the above warnings
5. Inspect the content of /opt/conda/share/jupyter/labextensions/@jupyterhub/jupyter-server-proxy/static/remoteEntry.e3e4d0a8cd0a53aac60c.js (below) for strings like h("default","@jupyterlab/application",!1,[1,4,6,0,,"alpha",4])

remoteEntry.e3e4d0a8cd0a53aac60c.js

var _JUPYTERLAB;(()=>{"use strict";var e,r,t,n,o,a,i,u,l,p,s,f,d,c,h,v,b,y,g,m={585(e,r,t){var n={"./index":()=>t.e(961).then(()=>()=>t(961)),"./extension":()=>t.e(961).then(()=>()=>t(961))},o=(e,r)=>(t.R=r,r=t.o(n,e)?n[e]():Promise.resolve().then(()=>{throw new Error('Module "'+e+'" does not exist in container.')}),t.R=void 0,r),a=(e,r)=>{if(t.S){var n="default",o=t.S[n];if(o&&o!==e)throw new Error("Container initialization failed as it has already been initialized with a different share scope");return t.S[n]=e,t.I(n,r)}};t.d(r,{get:()=>o,init:()=>a})}},j={};function w(e){var r=j[e];if(void 0!==r)return r.exports;var t=j[e]={exports:{}};return m[e](t,t.exports,w),t.exports}w.m=m,w.c=j,w.d=(e,r)=>{for(var t in r)w.o(r,t)&&!w.o(e,t)&&Object.defineProperty(e,t,{enumerable:!0,get:r[t]})},w.f={},w.e=e=>Promise.all(Object.keys(w.f).reduce((r,t)=>(w.f[t](e,r),r),[])),w.u=e=>e+".542dccb965db1a45defb.js?v=542dccb965db1a45defb",w.g=function(){if("object"==typeof globalThis)return globalThis;try{return this||new Function("return this")()}catch(e){if("object"==typeof window)return window}}(),w.o=(e,r)=>Object.prototype.hasOwnProperty.call(e,r),e={},r="@jupyterhub/jupyter-server-proxy:",w.l=(t,n,o,a)=>{if(e[t])e[t].push(n);else{var i,u;if(void 0!==o)for(var l=document.getElementsByTagName("script"),p=0;p<l.length;p++){var s=l[p];if(s.getAttribute("src")==t||s.getAttribute("data-webpack")==r+o){i=s;break}}i||(u=!0,(i=document.createElement("script")).charset="utf-8",w.nc&&i.setAttribute("nonce",w.nc),i.setAttribute("data-webpack",r+o),i.src=t),e[t]=[n];var f=(r,n)=>{i.onerror=i.onload=null,clearTimeout(d);var o=e[t];if(delete e[t],i.parentNode&&i.parentNode.removeChild(i),o&&o.forEach(e=>e(n)),r)return r(n)},d=setTimeout(f.bind(null,void 0,{type:"timeout",target:i}),12e4);i.onerror=f.bind(null,i.onerror),i.onload=f.bind(null,i.onload),u&&document.head.appendChild(i)}},w.r=e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},(()=>{w.S={};var e={},r={};w.I=(t,n)=>{n||(n=[]);var o=r[t];if(o||(o=r[t]={}),!(n.indexOf(o)>=0)){if(n.push(o),e[t])return e[t];w.o(w.S,t)||(w.S[t]={});var a=w.S[t],i="@jupyterhub/jupyter-server-proxy",u=[];return"default"===t&&((e,r,t,n)=>{var o=a[e]=a[e]||{},u=o[r];(!u||!u.loaded&&(1!=!u.eager?n:i>u.from))&&(o[r]={get:()=>w.e(961).then(()=>()=>w(961)),from:i,eager:!1})})("@jupyterhub/jupyter-server-proxy","4.5.0"),e[t]=u.length?Promise.all(u).then(()=>e[t]=1):1}}})(),(()=>{var e;w.g.importScripts&&(e=w.g.location+"");var r=w.g.document;if(!e&&r&&(r.currentScript&&"SCRIPT"===r.currentScript.tagName.toUpperCase()&&(e=r.currentScript.src),!e)){var t=r.getElementsByTagName("script");if(t.length)for(var n=t.length-1;n>-1&&(!e||!/^http(s?):/.test(e));)e=t[n--].src}if(!e)throw new Error("Automatic publicPath is not supported in this browser");e=e.replace(/^blob:/,"").replace(/#.*$/,"").replace(/\?.*$/,"").replace(/\/[^\/]+$/,"/"),w.p=e})(),t=e=>{var r=e=>e.split(".").map(e=>+e==e?+e:e),t=/^([^-+]+)?(?:-([^+]+))?(?:\+(.+))?$/.exec(e),n=t[1]?r(t[1]):[];return t[2]&&(n.length++,n.push.apply(n,r(t[2]))),t[3]&&(n.push([]),n.push.apply(n,r(t[3]))),n},n=(e,r)=>{e=t(e),r=t(r);for(var n=0;;){if(n>=e.length)return n<r.length&&"u"!=(typeof r[n])[0];var o=e[n],a=(typeof o)[0];if(n>=r.length)return"u"==a;var i=r[n],u=(typeof i)[0];if(a!=u)return"o"==a&&"n"==u||"s"==u||"u"==a;if("o"!=a&&"u"!=a&&o!=i)return o<i;n++}},o=e=>{var r=e[0],t="";if(1===e.length)return"*";if(r+.5){t+=0==r?">=":-1==r?"<":1==r?"^":2==r?"~":r>0?"=":"!=";for(var n=1,a=1;a<e.length;a++)n--,t+="u"==(typeof(u=e[a]))[0]?"-":(n>0?".":"")+(n=2,u);return t}var i=[];for(a=1;a<e.length;a++){var u=e[a];i.push(0===u?"not("+l()+")":1===u?"("+l()+" || "+l()+")":2===u?i.pop()+" "+i.pop():o(u))}return l();function l(){return i.pop().replace(/^\((.+)\)$/,"$1")}},a=(e,r)=>{if(0 in e){r=t(r);var n=e[0],o=n<0;o&&(n=-n-1);for(var i=0,u=1,l=!0;;u++,i++){var p,s,f=u<e.length?(typeof e[u])[0]:"";if(i>=r.length||"o"==(s=(typeof(p=r[i]))[0]))return!l||("u"==f?u>n&&!o:""==f!=o);if("u"==s){if(!l||"u"!=f)return!1}else if(l)if(f==s)if(u<=n){if(p!=e[u])return!1}else{if(o?p>e[u]:p<e[u])return!1;p!=e[u]&&(l=!1)}else if("s"!=f&&"n"!=f){if(o||u<=n)return!1;l=!1,u--}else{if(u<=n||s<f!=o)return!1;l=!1}else"s"!=f&&"n"!=f&&(l=!1,u--)}}var d=[],c=d.pop.bind(d);for(i=1;i<e.length;i++){var h=e[i];d.push(1==h?c()|c():2==h?c()&c():h?a(h,r):!c())}return!!c()},i=(e,r)=>e&&w.o(e,r),u=e=>(e.loaded=1,e.get()),l=e=>Object.keys(e).reduce((r,t)=>(e[t].eager&&(r[t]=e[t]),r),{}),p=(e,r,t)=>{var o=t?l(e[r]):e[r];return Object.keys(o).reduce((e,r)=>!e||!o[e].loaded&&n(e,r)?r:e,0)},s=(e,r,t,n)=>"Unsatisfied version "+t+" from "+(t&&e[r][t].from)+" of shared singleton module "+r+" (required "+o(n)+")",f=e=>{throw new 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w.c[e],t.exports=r()}};g[e]=!0;var n=r=>{delete v[e],w.m[e]=t=>{throw delete w.c[e],r}};try{var o=b[e]();o.then?r.push(v[e]=o.then(t).catch(n)):t(o)}catch(e){n(e)}}})},(()=>{var e={738:0};w.f.j=(r,t)=>{var n=w.o(e,r)?e[r]:void 0;if(0!==n)if(n)t.push(n[2]);else{var o=new Promise((t,o)=>n=e[r]=[t,o]);t.push(n[2]=o);var a=w.p+w.u(r),i=new Error;w.l(a,t=>{if(w.o(e,r)&&(0!==(n=e[r])&&(e[r]=void 0),n)){var o=t&&("load"===t.type?"missing":t.type),a=t&&t.target&&t.target.src;i.message="Loading chunk "+r+" failed.\n("+o+": "+a+")",i.name="ChunkLoadError",i.type=o,i.request=a,n[1](i)}},"chunk-"+r,r)}};var r=(r,t)=>{var n,o,[a,i,u]=t,l=0;if(a.some(r=>0!==e[r])){for(n in i)w.o(i,n)&&(w.m[n]=i[n]);u&&u(w)}for(r&&r(t);l<a.length;l++)o=a[l],w.o(e,o)&&e[o]&&e[o][0](),e[o]=0},t=self.webpackChunk_jupyterhub_jupyter_server_proxy=self.webpackChunk_jupyterhub_jupyter_server_proxy||[];t.forEach(r.bind(null,0)),t.push=r.bind(null,t.push.bind(t))})();var S=w(585);(_JUPYTERLAB=void 0===_JUPYTERLAB?{}:_JUPYTERLAB)["@jupyterhub/jupyter-server-proxy"]=S})();

Possible cause

Looks like the build environment used a prerelease version of JupyterLab: see the log for Build dist here:

https://github.com/jupyterhub/jupyter-server-proxy/actions/runs/23869492935/job/69597435514

asset remoteEntry.e3e4d0a8cd0a53aac60c.js 6.67 KiB [emitted] [immutable] [minimized] (name: @jupyterhub/jupyter-server-proxy)
asset 961.542dccb965db1a45defb.js?v=542dccb965db1a45defb 2.45 KiB [emitted] [immutable] [minimized]
asset third-party-licenses.json 20 bytes [emitted]
runtime modules 17.2 KiB 11 modules
orphan modules 1.59 KiB [orphan] 1 module
built modules 252 bytes (consume-shared) 10.8 KiB (javascript) 42 bytes (share-init) [built]
  consume-shared-module modules 252 bytes
    consume shared module (default) @jupyterlab/application@^4.6.0-alpha...(truncated) 42 bytes [built] [code generated]
    consume shared module (default) @jupyterlab/apputils@^4.7.0-alpha.4 (singleton) 42 bytes [built] [code generated]
    consume shared module (default) @jupyterlab/coreutils@^6.6.0-alpha.4 (singleton) 42 bytes [built] [code generated]
    consume shared module (default) @jupyterlab/filebrowser@^4.6.0-alpha...(truncated) 42 bytes [built] [code generated]
    consume shared module (default) @jupyterlab/launcher@^4.6.0-alpha.4 (singleton) 42 bytes [built] [code generated]
    consume shared module (default) @jupyterlab/services@^7.6.0-alpha.4 (singleton) 42 bytes [built] [code generated]
  javascript modules 10.8 KiB
    container entry 42 bytes [built] [code generated]
    ./lib/index.js + 1 modules 10.8 KiB [built] [code generated]
  provide shared module (default) @jupyterhub/jupyter-server-proxy@4.5.0 = ...(truncated) 42 bytes [built] [code generated]
webpack 5.105.4 compiled successfully in 458 ms

[ryanlovett]

My best guess here is that pyproject.toml specifies "jupyterlab >=4.0.6,<5.0.0a0" and according to pip's documentation:

If a Requirement specifier includes a pre-release or development version (e.g. >=0.0.dev0) then pip will allow pre-release and development versions for that requirement. This does not include the != flag.

So changing 5.0.0a0 to 5.0.0 might prevent @jupyterlab/foo alpha releases from creeping in. It used to be that way prior to 3f54ff7.

@bollwyvl, does it make sense to revert the addition of a0 to the jupyterlab version specification in pyproject.toml?