update calibratio
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@ -380,19 +380,24 @@ class Maintenance(Workflow, ModelSQL, ModelView):
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def get_create_graph(matrix, patterns):
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image = BytesIO()
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all_data = []
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errors = []
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yerr = []
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for mistake in matrix:
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mean = sum(mistake)/len(mistake)
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all_data.append(mean)
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count = 0
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for pattern in patterns:
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error = pattern - matrix[count][0]
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yerr.append(matrix[count][1])
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errors.append(error)
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count+=1
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labels = list(patterns)
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#raise UserError(str([labels,errors]))
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x = labels
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y = all_data
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y = errors
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top = 0.40
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bottom = -0.40
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top = 0.60
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bottom = -0.60
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ls = 'dotted'
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fig, ax1 = plt.subplots(nrows=1, ncols=1)
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@ -408,7 +413,7 @@ class Maintenance(Workflow, ModelSQL, ModelView):
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ax1.set_yticks([-0.25,0.0,0.25])
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#ax1.set_xticks([-10.0,-5.0,0.0,5.0,10.0])
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ax1.errorbar(x, y, yerr=0.1, marker='D', markersize=10, linestyle=ls)
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ax1.errorbar(x, y, yerr=yerr, marker='D', markersize=10, linestyle=ls)
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plt.savefig(image, format='png')
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plt.close()
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@ -452,8 +457,8 @@ class Maintenance(Workflow, ModelSQL, ModelView):
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pool = Pool()
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CalibrationLineTotal = pool.get('optical_equipment.maintenance.calibration')
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dates = {}
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dates_mistake_pattern = {}
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graph_data_matrix = []
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dates_mistake_pattern = []
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#graph_data_matrix = []
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patterns = set()
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for maintenance in maintenances:
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@ -465,11 +470,10 @@ class Maintenance(Workflow, ModelSQL, ModelView):
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if line.value_patterns.pattern not in patterns:
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patterns.add(line.value_patterns.pattern)
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dates[line.value_patterns.pattern] = [line.value_equipment]
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dates_mistake_pattern[line.value_patterns.pattern] = [line.mistake]
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#dates_mistake_pattern[line.value_patterns.pattern] = [line.mistake]
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else:
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dates[line.value_patterns.pattern].append(line.value_equipment)
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dates_mistake_pattern[line.value_patterns.pattern].append(line.mistake)
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#dates_mistake_pattern[line.value_patterns.pattern].append(line.mistake)
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for pattern in patterns:
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samples = dates[pattern]
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@ -499,10 +503,10 @@ class Maintenance(Workflow, ModelSQL, ModelView):
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t_student = t.ppf(1-0.025, uncertain_eff)
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uncertain_expanded = round((t_student * uncertain_c),2)
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dates_mistake_pattern.append([mean,uncertain_expanded])
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if maintenance.equipment.product.resolution_type == "analoga":
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calibrationLineTotal = CalibrationLineTotal(
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graph_dates=str(dates_mistake_pattern[pattern]),
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diopter=pattern,
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mean=mean,
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dev_std=dev_std,
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@ -523,7 +527,6 @@ class Maintenance(Workflow, ModelSQL, ModelView):
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elif maintenance.equipment.product.resolution_type == "digital":
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calibrationLineTotal = CalibrationLineTotal(
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graph_dates=str(dates_mistake_pattern[pattern]),
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diopter=pattern,
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mean=mean,
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dev_std=dev_std,
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@ -544,10 +547,7 @@ class Maintenance(Workflow, ModelSQL, ModelView):
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maintenance.save()
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for i in dates_mistake_pattern.keys():
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graph_data_matrix.append(dates_mistake_pattern[i])
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image = cls.get_create_graph(graph_data_matrix, patterns)
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image = cls.get_create_graph(dates_mistake_pattern, patterns)
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maintenance.graph_calibration = image
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maintenance.save()
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