MyEMS /
myems
| Conditions | 87 |
| Total Lines | 488 |
| Code Lines | 373 |
| Lines | 488 |
| Ratio | 100 % |
| 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 reports.offlinemetersaving.Reporting.on_get() 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 re |
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| 34 | @staticmethod |
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| 35 | def on_get(req, resp): |
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| 36 | print(req.params) |
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| 37 | offline_meter_id = req.params.get('offlinemeterid') |
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| 38 | offline_meter_uuid = req.params.get('offlinemeteruuid') |
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| 39 | period_type = req.params.get('periodtype') |
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| 40 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 41 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 42 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 43 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 44 | language = req.params.get('language') |
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| 45 | quick_mode = req.params.get('quickmode') |
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| 46 | |||
| 47 | ################################################################################################################ |
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| 48 | # Step 1: valid parameters |
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| 49 | ################################################################################################################ |
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| 50 | if offline_meter_id is None and offline_meter_uuid is None: |
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| 51 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 52 | title='API.BAD_REQUEST', |
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| 53 | description='API.INVALID_offline_meter_id') |
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| 54 | |||
| 55 | if offline_meter_id is not None: |
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| 56 | offline_meter_id = str.strip(offline_meter_id) |
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| 57 | if not offline_meter_id.isdigit() or int(offline_meter_id) <= 0: |
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| 58 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 59 | title='API.BAD_REQUEST', |
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| 60 | description='API.INVALID_offline_meter_id') |
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| 61 | |||
| 62 | if offline_meter_uuid is not None: |
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| 63 | regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
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| 64 | match = regex.match(str.strip(offline_meter_uuid)) |
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| 65 | if not bool(match): |
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| 66 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 67 | title='API.BAD_REQUEST', |
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| 68 | description='API.INVALID_offline_meter_uuid') |
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| 69 | |||
| 70 | if period_type is None: |
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| 71 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 72 | else: |
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| 73 | period_type = str.strip(period_type) |
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| 74 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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| 75 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 76 | |||
| 77 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 78 | if config.utc_offset[0] == '-': |
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| 79 | timezone_offset = -timezone_offset |
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| 80 | |||
| 81 | base_start_datetime_utc = None |
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| 82 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
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| 83 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
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| 84 | try: |
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| 85 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 86 | except ValueError: |
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| 87 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 88 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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| 89 | base_start_datetime_utc = \ |
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| 90 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 91 | # nomalize the start datetime |
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| 92 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
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| 93 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 94 | else: |
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| 95 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 96 | |||
| 97 | base_end_datetime_utc = None |
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| 98 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
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| 99 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
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| 100 | try: |
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| 101 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 102 | except ValueError: |
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| 103 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 104 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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| 105 | base_end_datetime_utc = \ |
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| 106 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 107 | |||
| 108 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 109 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 110 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 111 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 112 | |||
| 113 | if reporting_period_start_datetime_local is None: |
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| 114 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 115 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 116 | else: |
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| 117 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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| 118 | try: |
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| 119 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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| 120 | '%Y-%m-%dT%H:%M:%S') |
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| 121 | except ValueError: |
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| 122 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 123 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 124 | reporting_start_datetime_utc = \ |
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| 125 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 126 | # nomalize the start datetime |
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| 127 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
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| 128 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 129 | else: |
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| 130 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 131 | |||
| 132 | if reporting_period_end_datetime_local is None: |
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| 133 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 134 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 135 | else: |
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| 136 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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| 137 | try: |
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| 138 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
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| 139 | '%Y-%m-%dT%H:%M:%S') |
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| 140 | except ValueError: |
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| 141 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 142 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 143 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 144 | timedelta(minutes=timezone_offset) |
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| 145 | |||
| 146 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 147 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 148 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 149 | |||
| 150 | # if turn quick mode on, do not return parameters data and excel file |
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| 151 | is_quick_mode = False |
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| 152 | if quick_mode is not None and \ |
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| 153 | len(str.strip(quick_mode)) > 0 and \ |
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| 154 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
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| 155 | is_quick_mode = True |
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| 156 | |||
| 157 | locale_path = './i18n/' |
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| 158 | if language == 'zh_CN': |
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| 159 | trans = gettext.translation('myems', locale_path, languages=['zh_CN']) |
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| 160 | elif language == 'de': |
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| 161 | trans = gettext.translation('myems', locale_path, languages=['de']) |
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| 162 | elif language == 'en': |
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| 163 | trans = gettext.translation('myems', locale_path, languages=['en']) |
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| 164 | else: |
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| 165 | trans = gettext.translation('myems', locale_path, languages=['en']) |
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| 166 | trans.install() |
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| 167 | _ = trans.gettext |
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| 168 | |||
| 169 | ################################################################################################################ |
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| 170 | # Step 2: query the offline meter and energy category |
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| 171 | ################################################################################################################ |
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| 172 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 173 | cursor_system = cnx_system.cursor() |
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| 174 | |||
| 175 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 176 | cursor_energy = cnx_energy.cursor() |
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| 177 | |||
| 178 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
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| 179 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
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| 180 | |||
| 181 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 182 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 183 | " FROM tbl_offline_meters m, tbl_energy_categories ec " |
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| 184 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (offline_meter_id,)) |
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| 185 | row_offline_meter = cursor_system.fetchone() |
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| 186 | if row_offline_meter is None: |
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| 187 | if cursor_system: |
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| 188 | cursor_system.close() |
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| 189 | if cnx_system: |
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| 190 | cnx_system.close() |
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| 191 | |||
| 192 | if cursor_energy: |
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| 193 | cursor_energy.close() |
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| 194 | if cnx_energy: |
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| 195 | cnx_energy.close() |
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| 196 | |||
| 197 | if cursor_energy_baseline: |
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| 198 | cursor_energy_baseline.close() |
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| 199 | if cnx_energy_baseline: |
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| 200 | cnx_energy_baseline.close() |
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| 201 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.OFFLINE_METER_NOT_FOUND') |
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| 202 | |||
| 203 | offline_meter = dict() |
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| 204 | offline_meter['id'] = row_offline_meter[0] |
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| 205 | offline_meter['name'] = row_offline_meter[1] |
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| 206 | offline_meter['cost_center_id'] = row_offline_meter[2] |
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| 207 | offline_meter['energy_category_id'] = row_offline_meter[3] |
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| 208 | offline_meter['energy_category_name'] = row_offline_meter[4] |
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| 209 | offline_meter['unit_of_measure'] = row_offline_meter[5] |
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| 210 | offline_meter['kgce'] = row_offline_meter[6] |
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| 211 | offline_meter['kgco2e'] = row_offline_meter[7] |
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| 212 | |||
| 213 | ################################################################################################################ |
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| 214 | # Step 3: query base period energy saving |
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| 215 | ################################################################################################################ |
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| 216 | base = dict() |
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| 217 | base['timestamps'] = list() |
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| 218 | base['values_baseline'] = list() |
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| 219 | base['values_actual'] = list() |
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| 220 | base['values_saving'] = list() |
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| 221 | base['total_in_category_baseline'] = Decimal(0.0) |
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| 222 | base['total_in_category_actual'] = Decimal(0.0) |
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| 223 | base['total_in_category_saving'] = Decimal(0.0) |
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| 224 | base['total_in_kgce_baseline'] = Decimal(0.0) |
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| 225 | base['total_in_kgce_actual'] = Decimal(0.0) |
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| 226 | base['total_in_kgce_saving'] = Decimal(0.0) |
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| 227 | base['total_in_kgco2e_baseline'] = Decimal(0.0) |
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| 228 | base['total_in_kgco2e_actual'] = Decimal(0.0) |
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| 229 | base['total_in_kgco2e_saving'] = Decimal(0.0) |
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| 230 | |||
| 231 | # query base period baseline |
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| 232 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
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| 233 | " FROM tbl_offline_meter_hourly " |
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| 234 | " WHERE offline_meter_id = %s " |
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| 235 | " AND start_datetime_utc >= %s " |
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| 236 | " AND start_datetime_utc < %s " |
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| 237 | " ORDER BY start_datetime_utc ", |
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| 238 | (offline_meter['id'], |
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| 239 | base_start_datetime_utc, |
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| 240 | base_end_datetime_utc)) |
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| 241 | rows_offline_meter_hourly = cursor_energy_baseline.fetchall() |
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| 242 | |||
| 243 | rows_offline_meter_periodically = \ |
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| 244 | utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
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| 245 | base_start_datetime_utc, |
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| 246 | base_end_datetime_utc, |
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| 247 | period_type) |
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| 248 | |||
| 249 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
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| 250 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 251 | timedelta(minutes=timezone_offset) |
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| 252 | if period_type == 'hourly': |
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| 253 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 254 | elif period_type == 'daily': |
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| 255 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 256 | elif period_type == 'weekly': |
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| 257 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 258 | elif period_type == 'monthly': |
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| 259 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 260 | elif period_type == 'yearly': |
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| 261 | current_datetime = current_datetime_local.strftime('%Y') |
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| 262 | |||
| 263 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
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| 264 | else row_offline_meter_periodically[1] |
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| 265 | base['timestamps'].append(current_datetime) |
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| 266 | base['values_baseline'].append(actual_value) |
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| 267 | base['total_in_category_baseline'] += actual_value |
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| 268 | base['total_in_kgce_baseline'] += actual_value * offline_meter['kgce'] |
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| 269 | base['total_in_kgco2e_baseline'] += actual_value * offline_meter['kgco2e'] |
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| 270 | |||
| 271 | # query base period actual |
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| 272 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 273 | " FROM tbl_offline_meter_hourly " |
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| 274 | " WHERE offline_meter_id = %s " |
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| 275 | " AND start_datetime_utc >= %s " |
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| 276 | " AND start_datetime_utc < %s " |
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| 277 | " ORDER BY start_datetime_utc ", |
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| 278 | (offline_meter['id'], |
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| 279 | base_start_datetime_utc, |
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| 280 | base_end_datetime_utc)) |
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| 281 | rows_offline_meter_hourly = cursor_energy.fetchall() |
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| 282 | |||
| 283 | rows_offline_meter_periodically = \ |
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| 284 | utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
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| 285 | base_start_datetime_utc, |
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| 286 | base_end_datetime_utc, |
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| 287 | period_type) |
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| 288 | |||
| 289 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
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| 290 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 291 | timedelta(minutes=timezone_offset) |
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| 292 | if period_type == 'hourly': |
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| 293 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 294 | elif period_type == 'daily': |
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| 295 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 296 | elif period_type == 'weekly': |
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| 297 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 298 | elif period_type == 'monthly': |
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| 299 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 300 | elif period_type == 'yearly': |
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| 301 | current_datetime = current_datetime_local.strftime('%Y') |
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| 302 | |||
| 303 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
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| 304 | else row_offline_meter_periodically[1] |
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| 305 | base['values_actual'].append(actual_value) |
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| 306 | base['total_in_category_actual'] += actual_value |
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| 307 | base['total_in_kgce_actual'] += actual_value * offline_meter['kgce'] |
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| 308 | base['total_in_kgco2e_actual'] += actual_value * offline_meter['kgco2e'] |
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| 309 | |||
| 310 | # calculate base period saving |
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| 311 | for i in range(len(base['values_baseline'])): |
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| 312 | base['values_saving'].append(base['values_baseline'][i] - base['values_actual'][i]) |
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| 313 | |||
| 314 | base['total_in_category_saving'] = base['total_in_category_baseline'] - base['total_in_category_actual'] |
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| 315 | base['total_in_kgce_saving'] = base['total_in_kgce_baseline'] - base['total_in_kgce_actual'] |
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| 316 | base['total_in_kgco2e_saving'] = base['total_in_kgco2e_baseline'] - base['total_in_kgco2e_actual'] |
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| 317 | |||
| 318 | ################################################################################################################ |
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| 319 | # Step 3: query reporting period energy saving |
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| 320 | ################################################################################################################ |
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| 321 | reporting = dict() |
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| 322 | reporting['timestamps'] = list() |
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| 323 | reporting['values_baseline'] = list() |
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| 324 | reporting['values_actual'] = list() |
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| 325 | reporting['values_saving'] = list() |
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| 326 | reporting['values_rates'] = list() |
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| 327 | reporting['total_in_category_baseline'] = Decimal(0.0) |
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| 328 | reporting['total_in_category_actual'] = Decimal(0.0) |
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| 329 | reporting['total_in_category_saving'] = Decimal(0.0) |
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| 330 | reporting['total_in_kgce_baseline'] = Decimal(0.0) |
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| 331 | reporting['total_in_kgce_actual'] = Decimal(0.0) |
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| 332 | reporting['total_in_kgce_saving'] = Decimal(0.0) |
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| 333 | reporting['total_in_kgco2e_baseline'] = Decimal(0.0) |
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| 334 | reporting['total_in_kgco2e_actual'] = Decimal(0.0) |
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| 335 | reporting['total_in_kgco2e_saving'] = Decimal(0.0) |
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| 336 | # query reporting period baseline |
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| 337 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
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| 338 | " FROM tbl_offline_meter_hourly " |
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| 339 | " WHERE offline_meter_id = %s " |
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| 340 | " AND start_datetime_utc >= %s " |
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| 341 | " AND start_datetime_utc < %s " |
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| 342 | " ORDER BY start_datetime_utc ", |
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| 343 | (offline_meter['id'], |
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| 344 | reporting_start_datetime_utc, |
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| 345 | reporting_end_datetime_utc)) |
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| 346 | rows_offline_meter_hourly = cursor_energy_baseline.fetchall() |
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| 347 | |||
| 348 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
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| 349 | reporting_start_datetime_utc, |
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| 350 | reporting_end_datetime_utc, |
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| 351 | period_type) |
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| 352 | |||
| 353 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
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| 354 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 355 | timedelta(minutes=timezone_offset) |
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| 356 | if period_type == 'hourly': |
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| 357 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 358 | elif period_type == 'daily': |
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| 359 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 360 | elif period_type == 'weekly': |
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| 361 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 362 | elif period_type == 'monthly': |
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| 363 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 364 | elif period_type == 'yearly': |
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| 365 | current_datetime = current_datetime_local.strftime('%Y') |
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| 366 | |||
| 367 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
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| 368 | else row_offline_meter_periodically[1] |
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| 369 | |||
| 370 | reporting['timestamps'].append(current_datetime) |
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| 371 | reporting['values_baseline'].append(actual_value) |
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| 372 | reporting['total_in_category_baseline'] += actual_value |
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| 373 | reporting['total_in_kgce_baseline'] += actual_value * offline_meter['kgce'] |
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| 374 | reporting['total_in_kgco2e_baseline'] += actual_value * offline_meter['kgco2e'] |
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| 375 | |||
| 376 | # query reporting period actual |
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| 377 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 378 | " FROM tbl_offline_meter_hourly " |
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| 379 | " WHERE offline_meter_id = %s " |
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| 380 | " AND start_datetime_utc >= %s " |
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| 381 | " AND start_datetime_utc < %s " |
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| 382 | " ORDER BY start_datetime_utc ", |
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| 383 | (offline_meter['id'], |
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| 384 | reporting_start_datetime_utc, |
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| 385 | reporting_end_datetime_utc)) |
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| 386 | rows_offline_meter_hourly = cursor_energy.fetchall() |
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| 387 | |||
| 388 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
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| 389 | reporting_start_datetime_utc, |
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| 390 | reporting_end_datetime_utc, |
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| 391 | period_type) |
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| 392 | |||
| 393 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
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| 394 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 395 | timedelta(minutes=timezone_offset) |
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| 396 | if period_type == 'hourly': |
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| 397 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 398 | elif period_type == 'daily': |
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| 399 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 400 | elif period_type == 'weekly': |
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| 401 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 402 | elif period_type == 'monthly': |
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| 403 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 404 | elif period_type == 'yearly': |
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| 405 | current_datetime = current_datetime_local.strftime('%Y') |
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| 406 | |||
| 407 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
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| 408 | else row_offline_meter_periodically[1] |
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| 409 | |||
| 410 | reporting['values_actual'].append(actual_value) |
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| 411 | reporting['total_in_category_actual'] += actual_value |
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| 412 | reporting['total_in_kgce_actual'] += actual_value * offline_meter['kgce'] |
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| 413 | reporting['total_in_kgco2e_actual'] += actual_value * offline_meter['kgco2e'] |
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| 414 | |||
| 415 | # calculate base period saving |
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| 416 | for i in range(len(reporting['values_baseline'])): |
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| 417 | reporting['values_saving'].append(reporting['values_baseline'][i] - reporting['values_actual'][i]) |
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| 418 | |||
| 419 | reporting['total_in_category_saving'] = \ |
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| 420 | reporting['total_in_category_baseline'] - reporting['total_in_category_actual'] |
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| 421 | reporting['total_in_kgce_saving'] = \ |
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| 422 | reporting['total_in_kgce_baseline'] - reporting['total_in_kgce_actual'] |
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| 423 | reporting['total_in_kgco2e_saving'] = \ |
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| 424 | reporting['total_in_kgco2e_baseline'] - reporting['total_in_kgco2e_actual'] |
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| 425 | |||
| 426 | for index, value in enumerate(reporting['values_saving']): |
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| 427 | if index < len(base['values_saving']) and base['values_saving'][index] != 0 and value != 0: |
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| 428 | reporting['values_rates'].append((value - base['values_saving'][index]) / base['values_saving'][index]) |
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| 429 | else: |
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| 430 | reporting['values_rates'].append(None) |
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| 431 | |||
| 432 | ################################################################################################################ |
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| 433 | # Step 5: query tariff data |
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| 434 | ################################################################################################################ |
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| 435 | parameters_data = dict() |
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| 436 | parameters_data['names'] = list() |
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| 437 | parameters_data['timestamps'] = list() |
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| 438 | parameters_data['values'] = list() |
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| 439 | if config.is_tariff_appended and not is_quick_mode: |
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| 440 | tariff_dict = utilities.get_energy_category_tariffs(offline_meter['cost_center_id'], |
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| 441 | offline_meter['energy_category_id'], |
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| 442 | reporting_start_datetime_utc, |
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| 443 | reporting_end_datetime_utc) |
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| 444 | tariff_timestamp_list = list() |
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| 445 | tariff_value_list = list() |
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| 446 | for k, v in tariff_dict.items(): |
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| 447 | # convert k from utc to local |
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| 448 | k = k + timedelta(minutes=timezone_offset) |
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| 449 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
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| 450 | tariff_value_list.append(v) |
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| 451 | |||
| 452 | parameters_data['names'].append(_('Tariff') + '-' + offline_meter['energy_category_name']) |
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| 453 | parameters_data['timestamps'].append(tariff_timestamp_list) |
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| 454 | parameters_data['values'].append(tariff_value_list) |
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| 455 | |||
| 456 | ################################################################################################################ |
||
| 457 | # Step 6: construct the report |
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| 458 | ################################################################################################################ |
||
| 459 | if cursor_system: |
||
| 460 | cursor_system.close() |
||
| 461 | if cnx_system: |
||
| 462 | cnx_system.close() |
||
| 463 | |||
| 464 | if cursor_energy: |
||
| 465 | cursor_energy.close() |
||
| 466 | if cnx_energy: |
||
| 467 | cnx_energy.close() |
||
| 468 | |||
| 469 | if cursor_energy_baseline: |
||
| 470 | cursor_energy_baseline.close() |
||
| 471 | if cnx_energy_baseline: |
||
| 472 | cnx_energy_baseline.close() |
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| 473 | |||
| 474 | result = { |
||
| 475 | "offline_meter": { |
||
| 476 | "cost_center_id": offline_meter['cost_center_id'], |
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| 477 | "energy_category_id": offline_meter['energy_category_id'], |
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| 478 | "energy_category_name": offline_meter['energy_category_name'], |
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| 479 | "unit_of_measure": offline_meter['unit_of_measure'], |
||
| 480 | "kgce": offline_meter['kgce'], |
||
| 481 | "kgco2e": offline_meter['kgco2e'], |
||
| 482 | }, |
||
| 483 | "base_period": { |
||
| 484 | "total_in_category_saving": base['total_in_category_saving'], |
||
| 485 | "total_in_kgce_saving": base['total_in_kgce_saving'], |
||
| 486 | "total_in_kgco2e_saving": base['total_in_kgco2e_saving'], |
||
| 487 | "timestamps": base['timestamps'], |
||
| 488 | "values_saving": base['values_saving'], |
||
| 489 | }, |
||
| 490 | "reporting_period": { |
||
| 491 | "increment_rate_saving": |
||
| 492 | (reporting['total_in_category_saving'] - base['total_in_category_saving']) / |
||
| 493 | base['total_in_category_saving'] |
||
| 494 | if base['total_in_category_saving'] != Decimal(0.0) else None, |
||
| 495 | "total_in_category_saving": reporting['total_in_category_saving'], |
||
| 496 | "total_in_kgce_saving": reporting['total_in_kgce_saving'], |
||
| 497 | "total_in_kgco2e_saving": reporting['total_in_kgco2e_saving'], |
||
| 498 | "timestamps": reporting['timestamps'], |
||
| 499 | "values_saving": reporting['values_saving'], |
||
| 500 | "values_rates": reporting['values_rates'], |
||
| 501 | }, |
||
| 502 | "parameters": { |
||
| 503 | "names": parameters_data['names'], |
||
| 504 | "timestamps": parameters_data['timestamps'], |
||
| 505 | "values": parameters_data['values'] |
||
| 506 | }, |
||
| 507 | } |
||
| 508 | |||
| 509 | # export result to Excel file and then encode the file to base64 string |
||
| 510 | if not is_quick_mode: |
||
| 511 | result['excel_bytes_base64'] = \ |
||
| 512 | excelexporters.offlinemetersaving.export(result, |
||
| 513 | offline_meter['name'], |
||
| 514 | base_period_start_datetime_local, |
||
| 515 | base_period_end_datetime_local, |
||
| 516 | reporting_period_start_datetime_local, |
||
| 517 | reporting_period_end_datetime_local, |
||
| 518 | period_type, |
||
| 519 | language) |
||
| 520 | |||
| 521 | resp.text = json.dumps(result) |
||
| 522 |
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