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show # of reviews per hour
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1 changed files with 14 additions and 7 deletions
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@ -87,7 +87,7 @@ colLearn = "#00F"
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colRelearn = "#c00"
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colCram = "#ff0"
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colIvl = "#077"
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colHour = "#777"
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colHour = "#ccc"
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colTime = "#770"
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colUnseen = "#000"
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colSusp = "#ff0"
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@ -488,6 +488,8 @@ order by thetype, ease""" % lim)
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if not data:
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return ""
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shifted = []
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counts = []
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mcount = 0
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trend = []
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peak = 0
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for d in data:
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@ -496,7 +498,11 @@ order by thetype, ease""" % lim)
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if pct > peak:
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peak = pct
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shifted.append((hour, pct))
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counts.append((hour, d[2]))
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if d[2] > mcount:
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mcount = d[2]
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shifted.sort()
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counts.sort()
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for d in shifted:
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hour = d[0]
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pct = d[1]
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@ -508,17 +514,18 @@ order by thetype, ease""" % lim)
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diff /= 3.0
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diff = round(diff, 1)
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trend.append((hour, prev+diff))
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txt = self._title(_("Hourly Retention"),
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txt = self._title(_("Hourly Breakdown"),
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_("Review success rate for each hour of the day."))
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txt += self._graph(id="hour", data=[
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dict(data=shifted, color=colHour, label=_("% Correct")),
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dict(data=trend, color=colCum, label=_("Trend"),
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bars={'show': False}, lines=dict(show=True), stack=False)
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dict(data=shifted, color=colCum, label=_("% Correct")),
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dict(data=counts, color=colHour, label=_("Answers"), yaxis=2,
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bars=dict(barWidth=0.2), stack=False)
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], conf=dict(
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xaxis=dict(ticks=[[0, _("4AM")], [6, _("10AM")],
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[12, _("4PM")], [18, _("10PM")], [23, _("3AM")]]),
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yaxis=dict(max=peak)),
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ylabel=_("%Correct"))
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yaxes=[dict(max=peak), dict(position="right", max=mcount)]),
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ylabel=_("% Correct"), ylabel2=_("Reviews"))
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txt += _("Hours with less than 30 reviews are not shown.")
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return txt
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def _hourRet(self):
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