Backup of reporting status for Danube 1.0

- reporting html pages for apex, compass, fuel and joid
- text file with history of Danube scenarios
- text file of validated Danube scenarios (100% in functest)

Change-Id: If5585acc5bf56406c0c92e8b132157ed742244f1
Signed-off-by: Morgan Richomme <morgan.richomme@orange.com>

1 files changed, 75 insertions, 0 deletions

diff --git a/docs/results/js/trend.js b/docs/results/js/trend.js
new file mode 100644
index 00000000..f2421338
--- /dev/null
+++ b/docs/results/js/trend.js
@@ -0,0 +1,75 @@
+// ******************************************
+// Trend line for reporting
+// based on scenario_history.txt
+// where data looks like
+// date,scenario,installer,detail,score
+// 2016-09-22 13:12,os-nosdn-fdio-noha,apex,4/12,33.0
+// 2016-09-22 13:13,os-odl_l2-fdio-noha,apex,12/15,80.0
+// 2016-09-22 13:13,os-odl_l2-sfc-noha,apex,18/24,75.0
+// .....
+// ******************************************
+// Set the dimensions of the canvas / graph
+var trend_margin = {top: 20, right: 30, bottom: 50, left: 40},
+  trend_width = 300 - trend_margin.left - trend_margin.right,
+  trend_height = 130 - trend_margin.top - trend_margin.bottom;
+
+// Parse the date / time
+var parseDate = d3.time.format("%Y-%m-%d %H:%M").parse;
+
+// Set the ranges
+var trend_x = d3.time.scale().range([0, trend_width]);
+var trend_y = d3.scale.linear().range([trend_height, 0]);
+
+// Define the axes
+var trend_xAxis = d3.svg.axis().scale(trend_x)
+  .orient("bottom").ticks(2).tickFormat(d3.time.format("%m-%d"));
+
+var trend_yAxis = d3.svg.axis().scale(trend_y)
+  .orient("left").ticks(2);
+
+// Define the line
+var valueline = d3.svg.line()
+  .x(function(d) { return trend_x(d.date); })
+  .y(function(d) { return trend_y(d.score); });
+
+var trend = function(container, trend_data) {
+
+    var trend_svg = d3.select(container)
+    .append("svg")
+      .attr("width", trend_width + trend_margin.left + trend_margin.right)
+      .attr("height", trend_height + trend_margin.top + trend_margin.bottom)
+    .append("g")
+            .attr("transform",
+              "translate(" + trend_margin.left + "," + trend_margin.top + ")");
+
+    // Scale the range of the data
+    trend_x.domain(d3.extent(trend_data, function(d) { return d.date; }));
+    trend_y.domain([0, d3.max(trend_data, function(d) { return d.score; })]);
+
+    // Add the X Axis
+    trend_svg.append("g")
+        .attr("class", "x axis")
+        .attr("transform", "translate(0," + trend_height + ")")
+        .call(trend_xAxis);
+
+    // Add the Y Axis
+    trend_svg.append("g")
+        .attr("class", "y axis")
+        .call(trend_yAxis);
+
+    // Add the valueline path.
+    trend_svg.append("path")
+        .attr("class", "line")
+        .attr("d", valueline(trend_data))
+    .attr("stroke", "steelblue")
+    .attr("fill", "none");
+ 
+    trend_svg.selectAll(".dot")
+      .data(trend_data)
+      .enter().append("circle")
+      .attr("r", 2.5)
+        .attr("cx", function(d) { return trend_x(d.date); })
+        .attr("cy", function(d) { return trend_y(d.score); });   
+
+     return trend;
+}