зеркало из https://github.com/golang/build.git
devapp: add documentation for /stats and /stats/svg
Now that the stats dashboard is (mostly) working, link it from the homepage. Change-Id: I5fa1c2f241151d809c2d9a6cf8f664dda14cf8b3 Reviewed-on: https://go-review.googlesource.com/28975 Reviewed-by: Brad Fitzpatrick <bradfitz@golang.org>
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@ -24,8 +24,9 @@ handlers:
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secure: always
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- url: /static
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static_dir: static
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application_readable: true
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secure: always
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- url: /(|dash|release|cl|stats/raw|stats/svg.*)
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- url: /(|dash|release|cl|stats/raw|stats/svg)
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script: _go_app
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secure: always
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- url: /update.*
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@ -1,8 +1,10 @@
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<!DOCTYPE html>
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<html>
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<pre>
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<a href="release">Go release dashboard</a>
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<a href="cl">Go CL dashboard</a>
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<a href="dash">Go development dashboard</a>
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<a href="stats">Go project health dashboard</a>
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<b>About the Dashboards</b>
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@ -0,0 +1,44 @@
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<!DOCTYPE html>
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<html>
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<body>
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/stats/svg serves various graphs of issue statistics. Some of the supported query parameters are:
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<ul>
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<li><code>xscale</code>
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<ul>
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<li><code>xscale=log</code> - log scale</li>
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<li><code>xscale=lin</code> - linear scale. Also supports <code>xmin</code> and <code>xmax</code> parameters.</li>
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</ul></li>
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<li><code>yscale</code> - same as xscale but for y axis</li>
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<li><code>pivot</code> - predefined graphs
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<ul>
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<li><code>pivot=opencount</code> - plot number of open issues over time. With <code>group=release</code> plots the number of open issues by release over time.</li>
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<li>Unspecified - plot number of issues by bucket
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<ul>
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<li><code>filter</code>
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<ul>
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<li><code>filter=open</code> - only open issues</li>
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<li><code>filter=closed</code> - only closed issues</li>
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</ul>
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</li>
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<li><code>column</code> - column to bucket issues by
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<ul>
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<li><code>column={Created,Closed,Updated}{,Day,Month,Year}</code> - time, day, month, or year the issue was created, closed, or updated</li>
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<li><code>column=UpdateAge</code> - time since issue was last updated</li>
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</ul>
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</li>
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<li><code>agg</code> - how to aggregate issues
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<ul>
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<li><code>agg=count</code> or unspecified - count of issues for each distinct value of <code>column</code></li>
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<li><code>agg=ecdf</code> - CDF of values</li>
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<li><code>agg=bin</code> - automatically chosen histogram bins</li>
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<li><code>agg=density</code> - best fit PDF of values</li>
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</ul>
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</ul>
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</li>
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</ul>
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</li>
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</ul>
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</body>
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</html>
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@ -80,6 +80,11 @@ func rawHandler(w http.ResponseWriter, r *http.Request) {
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}
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func svgHandler(w http.ResponseWriter, req *http.Request) {
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if req.URL.RawQuery == "" {
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http.ServeFile(w, req, "static/svg.html")
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return
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}
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ctx := appengine.NewContext(req)
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req.ParseForm()
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@ -237,10 +242,8 @@ func plot(w http.ResponseWriter, req *http.Request, stats table.Grouping) error
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switch scale := req.Form.Get(aes + "scale"); scale {
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case "log":
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ls := gg.NewLogScaler(10)
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if aes == "x" {
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// Our plots tend to go to 0, which makes log scales unhappy.
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ls.SetMin(1)
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}
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// Our plots tend to go to 0, which makes log scales unhappy.
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ls.SetMin(1)
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plot.SetScale(aes, ls)
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case "lin":
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s := gg.NewLinearScaler()
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