Conditions | 15 |
Total Lines | 77 |
Code Lines | 61 |
Lines | 0 |
Ratio | 0 % |
Changes | 0 |
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
Complex classes like bika.health.browser.patient.historicresults.get_historicresults() often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
1 | # -*- coding: utf-8 -*- |
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85 | def get_historicresults(patient): |
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86 | if not patient: |
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87 | return [], {} |
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88 | |||
89 | rows = {} |
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90 | dates = [] |
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91 | uid = patient.UID() |
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92 | states = ['verified', 'published'] |
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93 | |||
94 | # Retrieve the AR IDs for the current patient |
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95 | bc = getToolByName(patient, 'bika_catalog') |
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96 | ars = [ar.id for ar |
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97 | in bc(portal_type='AnalysisRequest', review_state=states) |
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98 | if 'Patient' in ar.getObject().Schema() |
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99 | and ar.getObject().Schema().getField('Patient').get(ar.getObject()) |
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100 | and ar.getObject().Schema().getField('Patient').get(ar.getObject()).UID() == uid] |
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101 | |||
102 | # Retrieve all the analyses, sorted by ResultCaptureDate DESC |
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103 | bc = getToolByName(patient, 'bika_analysis_catalog') |
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104 | analyses = [an.getObject() for an |
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105 | in bc(portal_type='Analysis', |
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106 | getRequestID=ars, |
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107 | sort_on='getResultCaptureDate', |
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108 | sort_order='reverse')] |
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109 | |||
110 | # Build the dictionary of rows |
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111 | for analysis in analyses: |
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112 | ar = analysis.aq_parent |
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113 | sampletype = ar.getSampleType() |
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114 | row = rows.get(sampletype.UID()) if sampletype.UID() in rows.keys() \ |
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115 | else {'object': sampletype, 'analyses': {}} |
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116 | anrow = row.get('analyses') |
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117 | service_uid = analysis.getServiceUID() |
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118 | asdict = anrow.get(service_uid, {'object': analysis, |
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119 | 'title': analysis.Title(), |
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120 | 'keyword': analysis.getKeyword(), |
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121 | 'units': analysis.getUnit()}) |
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122 | date = analysis.getResultCaptureDate() or analysis.created() |
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123 | date = ulocalized_time(date, 1, None, patient, 'bika') |
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124 | # If more than one analysis of the same type has been |
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125 | # performed in the same datetime, get only the last one |
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126 | if date not in asdict.keys(): |
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127 | asdict[date] = {'object': analysis, |
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128 | 'result': analysis.getResult(), |
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129 | 'formattedresult': analysis.getFormattedResult()} |
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130 | # Get the specs |
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131 | # Only the specs applied to the last analysis for that |
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132 | # sample type will be taken into consideration. |
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133 | # We assume specs from previous analyses are obsolete. |
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134 | if 'specs' not in asdict.keys(): |
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135 | spec = analysis.getAnalysisSpecs() |
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136 | spec = spec.getResultsRangeDict() if spec else {} |
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137 | specs = spec.get(analysis.getKeyword(), {}) |
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138 | if not specs.get('rangecomment', ''): |
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139 | if specs.get('min', '') and specs.get('max', ''): |
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140 | specs['rangecomment'] = '%s - %s' % \ |
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141 | (specs.get('min'), specs.get('max')) |
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142 | elif specs.get('min', ''): |
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143 | specs['rangecomment'] = '> %s' % specs.get('min') |
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144 | elif specs.get('max', ''): |
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145 | specs['rangecomment'] = '< %s' % specs.get('max') |
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146 | |||
147 | if specs.get('error', '0') != '0' \ |
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148 | and specs.get('rangecomment', ''): |
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149 | specs['rangecomment'] = ('%s (%s' % |
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150 | (specs.get('rangecomment'), |
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151 | specs.get('error'))) + '%)' |
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152 | asdict['specs'] = specs |
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153 | |||
154 | if date not in dates: |
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155 | dates.append(date) |
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156 | anrow[service_uid] = asdict |
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157 | row['analyses'] = anrow |
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158 | rows[sampletype.UID()] = row |
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159 | dates.sort(reverse=False) |
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160 | |||
161 | return dates, rows |
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162 | |||
185 |