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chore: rename effort to estimate (#1053)
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@ -28,7 +28,7 @@ row_mapping = {
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"created_at": "Created At",
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"issue_count": "Issue Count",
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"priority": "Priority",
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"effort": "Effort",
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"estimate": "Estimate",
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}
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@ -46,7 +46,7 @@ def analytic_export_task(email, data, slug):
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queryset=queryset, x_axis=x_axis, y_axis=y_axis, segment=segment
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)
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key = "count" if y_axis == "issue_count" else "effort"
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key = "count" if y_axis == "issue_count" else "estimate"
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if segment:
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segment_zero = []
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@ -114,7 +114,7 @@ def analytic_export_task(email, data, slug):
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item,
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distribution.get(item)[0].get("count")
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if y_axis == "issue_count"
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else distribution.get(item)[0].get("effort"),
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else distribution.get(item)[0].get("estimate"),
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]
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)
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)
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@ -50,14 +50,14 @@ def build_graph_plot(queryset, x_axis, y_axis, segment=None):
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queryset = queryset.annotate(count=Count("*")).order_by("dimension")
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if y_axis == "effort":
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queryset = queryset.annotate(effort=Sum("estimate_point")).order_by(x_axis)
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if y_axis == "estimate":
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queryset = queryset.annotate(estimate=Sum("estimate_point")).order_by(x_axis)
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if segment:
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queryset = queryset.annotate(segment=F(segment)).values(
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"dimension", "segment", "effort"
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"dimension", "segment", "estimate"
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)
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else:
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queryset = queryset.values("dimension", "effort")
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queryset = queryset.values("dimension", "estimate")
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result_values = list(queryset)
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grouped_data = {}
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