MyEMS /
myems
| Total Complexity | 46 |
| Total Lines | 208 |
| Duplicated Lines | 91.83 % |
| 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 | import collections |
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| 2 | from datetime import timedelta |
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| 3 | |||
| 4 | import mysql.connector |
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| 5 | |||
| 6 | import config |
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| 7 | |||
| 8 | |||
| 9 | ######################################################################################################################## |
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| 10 | # Get tariffs by energy category |
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| 11 | ######################################################################################################################## |
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| 12 | View Code Duplication | def get_energy_category_tariffs(cost_center_id, energy_category_id, start_datetime_utc, end_datetime_utc): |
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Duplication
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| 13 | # todo: verify parameters |
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| 14 | if cost_center_id is None: |
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| 15 | return dict() |
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| 16 | |||
| 17 | # get timezone offset in minutes, this value will be returned to client |
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| 18 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 19 | if config.utc_offset[0] == '-': |
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| 20 | timezone_offset = -timezone_offset |
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| 21 | |||
| 22 | tariff_dict = collections.OrderedDict() |
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| 23 | |||
| 24 | cnx = None |
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| 25 | cursor = None |
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| 26 | try: |
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| 27 | cnx = mysql.connector.connect(**config.myems_system_db) |
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| 28 | cursor = cnx.cursor() |
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| 29 | query_tariffs = (" SELECT t.id, t.valid_from_datetime_utc, t.valid_through_datetime_utc " |
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| 30 | " FROM tbl_tariffs t, tbl_cost_centers_tariffs cct " |
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| 31 | " WHERE t.energy_category_id = %s AND " |
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| 32 | " t.id = cct.tariff_id AND " |
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| 33 | " cct.cost_center_id = %s AND " |
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| 34 | " t.valid_through_datetime_utc >= %s AND " |
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| 35 | " t.valid_from_datetime_utc <= %s " |
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| 36 | " ORDER BY t.valid_from_datetime_utc ") |
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| 37 | cursor.execute(query_tariffs, (energy_category_id, cost_center_id, start_datetime_utc, end_datetime_utc,)) |
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| 38 | rows_tariffs = cursor.fetchall() |
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| 39 | except Exception as e: |
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| 40 | print(str(e)) |
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| 41 | if cursor: |
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| 42 | cursor.close() |
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| 43 | if cnx: |
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| 44 | cnx.close() |
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| 45 | return dict() |
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| 46 | |||
| 47 | if rows_tariffs is None or len(rows_tariffs) == 0: |
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| 48 | if cursor: |
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| 49 | cursor.close() |
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| 50 | if cnx: |
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| 51 | cnx.close() |
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| 52 | return dict() |
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| 53 | |||
| 54 | for row in rows_tariffs: |
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| 55 | tariff_dict[row[0]] = {'valid_from_datetime_utc': row[1], |
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| 56 | 'valid_through_datetime_utc': row[2], |
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| 57 | 'rates': list()} |
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| 58 | |||
| 59 | try: |
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| 60 | query_timeofuse_tariffs = (" SELECT tariff_id, start_time_of_day, end_time_of_day, price " |
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| 61 | " FROM tbl_tariffs_timeofuses " |
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| 62 | " WHERE tariff_id IN ( " + ', '.join(map(str, tariff_dict.keys())) + ")" |
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| 63 | " ORDER BY tariff_id, start_time_of_day ") |
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| 64 | cursor.execute(query_timeofuse_tariffs, ) |
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| 65 | rows_timeofuse_tariffs = cursor.fetchall() |
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| 66 | except Exception as e: |
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| 67 | print(str(e)) |
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| 68 | if cursor: |
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| 69 | cursor.close() |
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| 70 | if cnx: |
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| 71 | cnx.close() |
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| 72 | return dict() |
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| 73 | |||
| 74 | if cursor: |
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| 75 | cursor.close() |
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| 76 | if cnx: |
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| 77 | cnx.close() |
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| 78 | |||
| 79 | if rows_timeofuse_tariffs is None or len(rows_timeofuse_tariffs) == 0: |
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| 80 | return dict() |
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| 81 | |||
| 82 | for row in rows_timeofuse_tariffs: |
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| 83 | tariff_dict[row[0]]['rates'].append({'start_time_of_day': row[1], |
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| 84 | 'end_time_of_day': row[2], |
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| 85 | 'price': row[3]}) |
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| 86 | |||
| 87 | result = dict() |
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| 88 | for tariff_id, tariff_value in tariff_dict.items(): |
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| 89 | current_datetime_utc = tariff_value['valid_from_datetime_utc'] |
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| 90 | while current_datetime_utc < tariff_value['valid_through_datetime_utc']: |
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| 91 | for rate in tariff_value['rates']: |
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| 92 | current_datetime_local = current_datetime_utc + timedelta(minutes=timezone_offset) |
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| 93 | seconds_since_midnight = (current_datetime_local - |
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| 94 | current_datetime_local.replace(hour=0, |
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| 95 | second=0, |
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| 96 | microsecond=0, |
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| 97 | tzinfo=None)).total_seconds() |
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| 98 | if rate['start_time_of_day'].total_seconds() <= \ |
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| 99 | seconds_since_midnight < rate['end_time_of_day'].total_seconds(): |
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| 100 | result[current_datetime_utc] = rate['price'] |
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| 101 | break |
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| 102 | |||
| 103 | # start from the next time slot |
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| 104 | current_datetime_utc += timedelta(minutes=config.minutes_to_count) |
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| 105 | |||
| 106 | return {k: v for k, v in result.items() if start_datetime_utc <= k <= end_datetime_utc} |
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| 107 | |||
| 108 | |||
| 109 | ######################################################################################################################## |
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| 110 | # Get tariffs by energy item |
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| 111 | ######################################################################################################################## |
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| 112 | View Code Duplication | def get_energy_item_tariffs(cost_center_id, energy_item_id, start_datetime_utc, end_datetime_utc): |
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| 113 | # todo: verify parameters |
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| 114 | if cost_center_id is None: |
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| 115 | return dict() |
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| 116 | |||
| 117 | # get timezone offset in minutes, this value will be returned to client |
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| 118 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 119 | if config.utc_offset[0] == '-': |
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| 120 | timezone_offset = -timezone_offset |
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| 121 | |||
| 122 | tariff_dict = collections.OrderedDict() |
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| 123 | |||
| 124 | cnx = None |
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| 125 | cursor = None |
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| 126 | try: |
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| 127 | cnx = mysql.connector.connect(**config.myems_system_db) |
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| 128 | cursor = cnx.cursor() |
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| 129 | query_tariffs = (" SELECT t.id, t.valid_from_datetime_utc, t.valid_through_datetime_utc " |
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| 130 | " FROM tbl_tariffs t, tbl_cost_centers_tariffs cct, tbl_energy_items ei " |
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| 131 | " WHERE ei.id = %s AND " |
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| 132 | " t.energy_category_id = ei.energy_category_id AND " |
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| 133 | " t.id = cct.tariff_id AND " |
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| 134 | " cct.cost_center_id = %s AND " |
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| 135 | " t.valid_through_datetime_utc >= %s AND " |
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| 136 | " t.valid_from_datetime_utc <= %s " |
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| 137 | " ORDER BY t.valid_from_datetime_utc ") |
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| 138 | cursor.execute(query_tariffs, (energy_item_id, cost_center_id, start_datetime_utc, end_datetime_utc,)) |
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| 139 | rows_tariffs = cursor.fetchall() |
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| 140 | except Exception as e: |
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| 141 | print(str(e)) |
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| 142 | if cursor: |
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| 143 | cursor.close() |
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| 144 | if cnx: |
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| 145 | cnx.close() |
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| 146 | return dict() |
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| 147 | |||
| 148 | if rows_tariffs is None or len(rows_tariffs) == 0: |
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| 149 | if cursor: |
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| 150 | cursor.close() |
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| 151 | if cnx: |
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| 152 | cnx.close() |
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| 153 | return dict() |
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| 154 | |||
| 155 | for row in rows_tariffs: |
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| 156 | tariff_dict[row[0]] = {'valid_from_datetime_utc': row[1], |
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| 157 | 'valid_through_datetime_utc': row[2], |
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| 158 | 'rates': list()} |
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| 159 | |||
| 160 | try: |
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| 161 | query_timeofuse_tariffs = (" SELECT tariff_id, start_time_of_day, end_time_of_day, price " |
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| 162 | " FROM tbl_tariffs_timeofuses " |
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| 163 | " WHERE tariff_id IN ( " + ', '.join(map(str, tariff_dict.keys())) + ")" |
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| 164 | " ORDER BY tariff_id, start_time_of_day ") |
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| 165 | cursor.execute(query_timeofuse_tariffs, ) |
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| 166 | rows_timeofuse_tariffs = cursor.fetchall() |
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| 167 | except Exception as e: |
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| 168 | print(str(e)) |
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| 169 | if cursor: |
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| 170 | cursor.close() |
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| 171 | if cnx: |
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| 172 | cnx.close() |
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| 173 | return dict() |
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| 174 | |||
| 175 | if cursor: |
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| 176 | cursor.close() |
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| 177 | if cnx: |
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| 178 | cnx.close() |
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| 179 | |||
| 180 | if rows_timeofuse_tariffs is None or len(rows_timeofuse_tariffs) == 0: |
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| 181 | return dict() |
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| 182 | |||
| 183 | for row in rows_timeofuse_tariffs: |
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| 184 | tariff_dict[row[0]]['rates'].append({'start_time_of_day': row[1], |
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| 185 | 'end_time_of_day': row[2], |
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| 186 | 'price': row[3]}) |
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| 187 | |||
| 188 | result = dict() |
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| 189 | for tariff_id, tariff_value in tariff_dict.items(): |
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| 190 | current_datetime_utc = tariff_value['valid_from_datetime_utc'] |
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| 191 | while current_datetime_utc < tariff_value['valid_through_datetime_utc']: |
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| 192 | for rate in tariff_value['rates']: |
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| 193 | current_datetime_local = current_datetime_utc + timedelta(minutes=timezone_offset) |
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| 194 | seconds_since_midnight = (current_datetime_local - |
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| 195 | current_datetime_local.replace(hour=0, |
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| 196 | second=0, |
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| 197 | microsecond=0, |
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| 198 | tzinfo=None)).total_seconds() |
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| 199 | if rate['start_time_of_day'].total_seconds() <= \ |
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| 200 | seconds_since_midnight < rate['end_time_of_day'].total_seconds(): |
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| 201 | result[current_datetime_utc] = rate['price'] |
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| 202 | break |
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| 203 | |||
| 204 | # start from the next time slot |
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| 205 | current_datetime_utc += timedelta(minutes=config.minutes_to_count) |
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| 206 | |||
| 207 | return {k: v for k, v in result.items() if start_datetime_utc <= k <= end_datetime_utc} |
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| 208 |
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