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Bot metric page. (#396)
* Move the metrics page to scientific Python * rerun prettier
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‎config.yaml

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# url: https://learn.scientific-python.org/maintainers/
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- title: SPECs
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url: /specs/
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- title: BOT
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url: /bot/
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hero:
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# Main hero title

‎content/bot/_index.md

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---
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title: "Bots"
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---
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# Scientific Python Maintain a few bots that makes maintainer life a bit easier.
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Here is the statistics for our backport bot
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{{< include-html "static/teams/bots-graphs.html" >}}
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## Install on your repo
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Head to https://github.com/apps/lumberbot-app and install on your favorite
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repositories, You can now either mention the bot, or modify a milestone or label
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description with commands like.
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```
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on-merge: backport to 5.x
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```
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And on PR merge the bot will for the repository, backport the branch and send a
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PR from it's fork.

‎netlify.toml

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[[plugins]]
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package = "netlify-plugin-checklinks"
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[plugins.inputs]
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skipPatterns = ['*bot*']

‎static/teams/bots-graphs.html

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<div class="chart" id="keen-example-chart"></div>
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<div class="chart" id="backport-success">auto</div>
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<div class="flex-container" style="height: 340px">
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<div class="item initial chart" id="keen-chart-2">auto</div>
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<div class="item auto chart" id="total-pr">auto</div>
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</div>
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<link
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href="https://d26b395fwzu5fz.cloudfront.net/keen-dataviz-1.1.3.css"
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rel="stylesheet"
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/>
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<style>
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.flex-container {
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margin-left: 25px;
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resize: horizontal;
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overflow: hidden;
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display: flex;
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}
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.initial {
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flex: initial;
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}
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.auto {
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width: 30%;
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margin: 10px;
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flex: auto;
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}
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</style>
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<script
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src="https://d26b395fwzu5fz.cloudfront.net/keen-analysis-1.2.2.js"
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type="text/javascript"
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></script>
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<script
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src="https://d26b395fwzu5fz.cloudfront.net/keen-dataviz-1.1.3.js"
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type="text/javascript"
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></script>
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<script type="text/javascript">
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var client = new Keen({
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projectId: "59e6286dc9e77c0001097979",
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readKey:
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"3ED31C47C7576FB00C2150C4DFE176EC96B379CE631051B89F83243160668F201FF1FCE12B97A5B579B4ACDA4282CD71BE218EF858963B70E89ACDFAEFE80053E9B6900C2DA61BD277F107B05D3ED16240DC5527B3C9BCCA6895DA8CF479B9E3",
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});
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var chart = new Keen.Dataviz()
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.el("#keen-example-chart")
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.height(320)
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.title("Activity / repository / week on a 52 week period")
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.type("bar")
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.stacked(true)
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.prepare();
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client
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.query("count", {
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event_collection: "dispatch",
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filters: [
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{
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operator: "not_contains",
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property_name: "mention.repository",
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property_value: "/test1",
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},
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],
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group_by: ["mention.repository"],
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interval: "weekly",
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timeframe: "this_52_weeks",
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timezone: "US/Pacific",
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})
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.then(function (res) {
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chart.data(res).render();
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})
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.catch(function (err) {
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chart.message(err.message);
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});
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var chart2 = new Keen.Dataviz()
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.el("#keen-chart-2")
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.height(340)
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.width("400px")
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.title("Number of backport/Year/Project.")
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.type("table")
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.prepare();
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client
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.query("count", {
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event_collection: "dispatch",
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filters: [
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{
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operator: "contains",
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property_name: "mention.command",
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property_value: "backport",
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},
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],
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group_by: ["mention.organisation"],
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timeframe: "this_5_years",
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timezone: "US/Pacific",
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})
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.then(function (res) {
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var data = chart2.data(res);
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console.log(data);
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data.dataset = data.dataset.sortRows("desc", function (arr) {
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console.log(arr);
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return arr[1];
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});
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data.dataset.matrix[0] = ["Organisation", "Backports"];
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data.render();
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})
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.catch(function (err) {
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chart2.message(err.message);
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});
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var chart3 = new Keen.Dataviz()
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.el("#total-pr")
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.height(340)
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.title("All attempted backports (excluding test repositories)")
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.type("metric")
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.prepare();
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client
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.query("count", {
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event_collection: "dispatch",
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filters: [
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{
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operator: "contains",
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property_name: "mention.command",
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property_value: "backport",
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},
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{
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operator: "not_contains",
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property_name: "mention.repository",
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property_value: "test1",
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},
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],
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timeframe: "this_14_years",
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timezone: "US/Pacific",
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})
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.then(function (res) {
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chart3.data(res).render();
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})
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.catch(function (err) {
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chart3.message(err.message);
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});
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var chart4 = new Keen.Dataviz()
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.el("#backport-success")
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.height(240)
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.title("Backport Success")
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.stacked(true)
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.type("columnchart")
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.prepare();
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client
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.query("count", {
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event_collection: "backport_stats",
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filters: [
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{
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operator: "not_contains",
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property_name: "slug",
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property_value: "test1",
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},
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{ operator: "ne", property_name: "reason", property_value: "Sucess" },
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],
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group_by: ["reason"],
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interval: "weekly",
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timeframe: "this_52_weeks",
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timezone: "US/Pacific",
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})
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.then(function (res) {
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chart4.data(res).render();
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})
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.catch(function (err) {
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chart.message(err.message);
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});
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</script>

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