Total Complexity | 46 |
Total Lines | 206 |
Duplicated Lines | 92.72 % |
Changes | 0 |
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like tariff 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 | from datetime import timedelta |
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2 | import mysql.connector |
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3 | import config |
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4 | import collections |
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5 | |||
6 | |||
7 | ######################################################################################################################## |
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8 | # Get tariffs by energy category |
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9 | ######################################################################################################################## |
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10 | View Code Duplication | def get_energy_category_tariffs(cost_center_id, energy_category_id, start_datetime_utc, end_datetime_utc): |
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11 | # todo: verify parameters |
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12 | if cost_center_id is None: |
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13 | return dict() |
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14 | |||
15 | # get timezone offset in minutes, this value will be returned to client |
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16 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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17 | if config.utc_offset[0] == '-': |
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18 | timezone_offset = -timezone_offset |
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19 | |||
20 | tariff_dict = collections.OrderedDict() |
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21 | |||
22 | cnx = None |
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23 | cursor = None |
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24 | try: |
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25 | cnx = mysql.connector.connect(**config.myems_system_db) |
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26 | cursor = cnx.cursor() |
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27 | query_tariffs = (" SELECT t.id, t.valid_from_datetime_utc, t.valid_through_datetime_utc " |
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28 | " FROM tbl_tariffs t, tbl_cost_centers_tariffs cct " |
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29 | " WHERE t.energy_category_id = %s AND " |
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30 | " t.id = cct.tariff_id AND " |
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31 | " cct.cost_center_id = %s AND " |
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32 | " t.valid_through_datetime_utc >= %s AND " |
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33 | " t.valid_from_datetime_utc <= %s " |
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34 | " ORDER BY t.valid_from_datetime_utc ") |
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35 | cursor.execute(query_tariffs, (energy_category_id, cost_center_id, start_datetime_utc, end_datetime_utc,)) |
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36 | rows_tariffs = cursor.fetchall() |
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37 | except Exception as e: |
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38 | print(str(e)) |
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39 | if cnx: |
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40 | cnx.disconnect() |
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41 | if cursor: |
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42 | cursor.close() |
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43 | return dict() |
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44 | |||
45 | if rows_tariffs is None or len(rows_tariffs) == 0: |
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46 | if cursor: |
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47 | cursor.close() |
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48 | if cnx: |
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49 | cnx.disconnect() |
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50 | return dict() |
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51 | |||
52 | for row in rows_tariffs: |
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53 | tariff_dict[row[0]] = {'valid_from_datetime_utc': row[1], |
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54 | 'valid_through_datetime_utc': row[2], |
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55 | 'rates': list()} |
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56 | |||
57 | try: |
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58 | query_timeofuse_tariffs = (" SELECT tariff_id, start_time_of_day, end_time_of_day, price " |
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59 | " FROM tbl_tariffs_timeofuses " |
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60 | " WHERE tariff_id IN ( " + ', '.join(map(str, tariff_dict.keys())) + ")" |
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61 | " ORDER BY tariff_id, start_time_of_day ") |
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62 | cursor.execute(query_timeofuse_tariffs, ) |
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63 | rows_timeofuse_tariffs = cursor.fetchall() |
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64 | except Exception as e: |
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65 | print(str(e)) |
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66 | if cnx: |
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67 | cnx.disconnect() |
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68 | if cursor: |
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69 | cursor.close() |
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70 | return dict() |
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71 | |||
72 | if cursor: |
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73 | cursor.close() |
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74 | if cnx: |
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75 | cnx.disconnect() |
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76 | |||
77 | if rows_timeofuse_tariffs is None or len(rows_timeofuse_tariffs) == 0: |
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78 | return dict() |
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79 | |||
80 | for row in rows_timeofuse_tariffs: |
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81 | tariff_dict[row[0]]['rates'].append({'start_time_of_day': row[1], |
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82 | 'end_time_of_day': row[2], |
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83 | 'price': row[3]}) |
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84 | |||
85 | result = dict() |
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86 | for tariff_id, tariff_value in tariff_dict.items(): |
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87 | current_datetime_utc = tariff_value['valid_from_datetime_utc'] |
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88 | while current_datetime_utc < tariff_value['valid_through_datetime_utc']: |
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89 | for rate in tariff_value['rates']: |
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90 | current_datetime_local = current_datetime_utc + timedelta(minutes=timezone_offset) |
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91 | seconds_since_midnight = (current_datetime_local - |
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92 | current_datetime_local.replace(hour=0, |
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93 | second=0, |
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94 | microsecond=0, |
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95 | tzinfo=None)).total_seconds() |
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96 | if rate['start_time_of_day'].total_seconds() <= \ |
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97 | seconds_since_midnight < rate['end_time_of_day'].total_seconds(): |
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98 | result[current_datetime_utc] = rate['price'] |
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99 | break |
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100 | |||
101 | # start from the next time slot |
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102 | current_datetime_utc += timedelta(minutes=config.minutes_to_count) |
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103 | |||
104 | return {k: v for k, v in result.items() if start_datetime_utc <= k <= end_datetime_utc} |
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105 | |||
106 | |||
107 | ######################################################################################################################## |
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108 | # Get tariffs by energy item |
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109 | ######################################################################################################################## |
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110 | View Code Duplication | def get_energy_item_tariffs(cost_center_id, energy_item_id, start_datetime_utc, end_datetime_utc): |
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111 | # todo: verify parameters |
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112 | if cost_center_id is None: |
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113 | return dict() |
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114 | |||
115 | # get timezone offset in minutes, this value will be returned to client |
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116 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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117 | if config.utc_offset[0] == '-': |
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118 | timezone_offset = -timezone_offset |
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119 | |||
120 | tariff_dict = collections.OrderedDict() |
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121 | |||
122 | cnx = None |
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123 | cursor = None |
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124 | try: |
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125 | cnx = mysql.connector.connect(**config.myems_system_db) |
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126 | cursor = cnx.cursor() |
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127 | query_tariffs = (" SELECT t.id, t.valid_from_datetime_utc, t.valid_through_datetime_utc " |
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128 | " FROM tbl_tariffs t, tbl_cost_centers_tariffs cct, tbl_energy_items ei " |
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129 | " WHERE ei.id = %s AND " |
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130 | " t.energy_category_id = ei.energy_category_id AND " |
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131 | " t.id = cct.tariff_id AND " |
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132 | " cct.cost_center_id = %s AND " |
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133 | " t.valid_through_datetime_utc >= %s AND " |
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134 | " t.valid_from_datetime_utc <= %s " |
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135 | " ORDER BY t.valid_from_datetime_utc ") |
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136 | cursor.execute(query_tariffs, (energy_item_id, cost_center_id, start_datetime_utc, end_datetime_utc,)) |
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137 | rows_tariffs = cursor.fetchall() |
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138 | except Exception as e: |
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139 | print(str(e)) |
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140 | if cnx: |
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141 | cnx.disconnect() |
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142 | if cursor: |
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143 | cursor.close() |
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144 | return dict() |
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145 | |||
146 | if rows_tariffs is None or len(rows_tariffs) == 0: |
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147 | if cursor: |
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148 | cursor.close() |
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149 | if cnx: |
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150 | cnx.disconnect() |
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151 | return dict() |
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152 | |||
153 | for row in rows_tariffs: |
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154 | tariff_dict[row[0]] = {'valid_from_datetime_utc': row[1], |
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155 | 'valid_through_datetime_utc': row[2], |
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156 | 'rates': list()} |
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157 | |||
158 | try: |
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159 | query_timeofuse_tariffs = (" SELECT tariff_id, start_time_of_day, end_time_of_day, price " |
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160 | " FROM tbl_tariffs_timeofuses " |
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161 | " WHERE tariff_id IN ( " + ', '.join(map(str, tariff_dict.keys())) + ")" |
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162 | " ORDER BY tariff_id, start_time_of_day ") |
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163 | cursor.execute(query_timeofuse_tariffs, ) |
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164 | rows_timeofuse_tariffs = cursor.fetchall() |
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165 | except Exception as e: |
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166 | print(str(e)) |
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167 | if cnx: |
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168 | cnx.disconnect() |
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169 | if cursor: |
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170 | cursor.close() |
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171 | return dict() |
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172 | |||
173 | if cursor: |
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174 | cursor.close() |
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175 | if cnx: |
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176 | cnx.disconnect() |
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177 | |||
178 | if rows_timeofuse_tariffs is None or len(rows_timeofuse_tariffs) == 0: |
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179 | return dict() |
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180 | |||
181 | for row in rows_timeofuse_tariffs: |
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182 | tariff_dict[row[0]]['rates'].append({'start_time_of_day': row[1], |
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183 | 'end_time_of_day': row[2], |
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184 | 'price': row[3]}) |
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185 | |||
186 | result = dict() |
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187 | for tariff_id, tariff_value in tariff_dict.items(): |
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188 | current_datetime_utc = tariff_value['valid_from_datetime_utc'] |
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189 | while current_datetime_utc < tariff_value['valid_through_datetime_utc']: |
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190 | for rate in tariff_value['rates']: |
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191 | current_datetime_local = current_datetime_utc + timedelta(minutes=timezone_offset) |
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192 | seconds_since_midnight = (current_datetime_local - |
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193 | current_datetime_local.replace(hour=0, |
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194 | second=0, |
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195 | microsecond=0, |
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196 | tzinfo=None)).total_seconds() |
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197 | if rate['start_time_of_day'].total_seconds() <= \ |
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198 | seconds_since_midnight < rate['end_time_of_day'].total_seconds(): |
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199 | result[current_datetime_utc] = rate['price'] |
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200 | break |
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201 | |||
202 | # start from the next time slot |
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203 | current_datetime_utc += timedelta(minutes=config.minutes_to_count) |
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204 | |||
205 | return {k: v for k, v in result.items() if start_datetime_utc <= k <= end_datetime_utc} |
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206 |