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An angular 1.x starterkit for creating new web applications with Form.io
When running gulp build
the build hangs after running part of the html task. It is something related to uglify because, if I comment out line 48 of gulp.build.js
, the build succeeds quickly - minus the uglification of course.
If the uglification is left in, it eventually completes... on my fastest machine ~3min
Thoughts on speeding that step up?
Example output up to the point that it hangs:
[15:06:32] Starting 'scripts'...
[15:06:32] Starting 'styles'...
[15:06:32] Starting 'partials'...
[15:06:32] Starting 'config'...
[15:06:32] Starting 'fonts'...
[15:06:32] Starting 'other'...
[15:06:32] gulp-inject Nothing to inject into index.scss.
[15:06:32] Finished 'config' after 323 ms
[15:06:32] all files 6.54 kB
[15:06:32] Finished 'scripts' after 737 ms
[15:06:32] Finished 'other' after 414 ms
[15:06:32] Finished 'partials' after 466 ms
[15:06:32] Finished 'fonts' after 427 ms
[15:06:34] Finished 'styles' after 2.1 s
[15:06:34] Starting 'inject'...
[15:06:34] gulp-inject 1 files into index.html.
[15:06:34] gulp-inject 7 files into index.html.
[15:06:34] Finished 'inject' after 58 ms
[15:06:34] Starting 'html'...
[15:06:34] gulp-inject 1 files into index.html.
[15:06:42] dist/ maps/styles/app-b55ab2327e.css.map 58.1 kB
[15:06:42] dist/ maps/scripts/app-1afa8a6b06.js.map 9.86 kB
[15:06:42] dist/ maps/styles/vendor-dc48e43cd2.css.map 45.32 kB
[15:08:59] dist/ maps/scripts/vendor-f8c3da6d12.js.map 8.81 MB
Hiya,
your readme on this repository says:
git clone [email protected]:formio/ng-app-startkit.git
where it should read :
startERkit.git
If you could fix that that would be fantastic.
Cheers
Hi,
url in readme not correct
replace
[email protected]:formio/ng-app-startkit.git
with
[email protected]:formio/ng-app-starterkit.git
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. ๐๐๐
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A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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We are working to build community through open source technology. NB: members must have two-factor auth.
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