MyEMS /
myems
| Conditions | 151 |
| Total Lines | 741 |
| Code Lines | 564 |
| Lines | 741 |
| 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.tenantsaving.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 | """ |
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| 69 | @staticmethod |
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| 70 | def on_get(req, resp): |
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| 71 | if 'API-KEY' not in req.headers or \ |
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| 72 | not isinstance(req.headers['API-KEY'], str) or \ |
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| 73 | len(str.strip(req.headers['API-KEY'])) == 0: |
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| 74 | access_control(req) |
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| 75 | else: |
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| 76 | api_key_control(req) |
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| 77 | print(req.params) |
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| 78 | tenant_id = req.params.get('tenantid') |
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| 79 | tenant_uuid = req.params.get('tenantuuid') |
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| 80 | period_type = req.params.get('periodtype') |
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| 81 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 82 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 83 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 84 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 85 | language = req.params.get('language') |
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| 86 | quick_mode = req.params.get('quickmode') |
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| 87 | |||
| 88 | ################################################################################################################ |
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| 89 | # Step 1: valid parameters |
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| 90 | ################################################################################################################ |
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| 91 | if tenant_id is None and tenant_uuid is None: |
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| 92 | raise falcon.HTTPError(status=falcon.HTTP_400, |
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| 93 | title='API.BAD_REQUEST', |
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| 94 | description='API.INVALID_TENANT_ID') |
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| 95 | |||
| 96 | if tenant_id is not None: |
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| 97 | tenant_id = str.strip(tenant_id) |
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| 98 | if not tenant_id.isdigit() or int(tenant_id) <= 0: |
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| 99 | raise falcon.HTTPError(status=falcon.HTTP_400, |
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| 100 | title='API.BAD_REQUEST', |
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| 101 | description='API.INVALID_TENANT_ID') |
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| 102 | |||
| 103 | if tenant_uuid is not None: |
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| 104 | 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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| 105 | match = regex.match(str.strip(tenant_uuid)) |
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| 106 | if not bool(match): |
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| 107 | raise falcon.HTTPError(status=falcon.HTTP_400, |
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| 108 | title='API.BAD_REQUEST', |
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| 109 | description='API.INVALID_TENANT_UUID') |
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| 110 | |||
| 111 | if period_type is None: |
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| 112 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 113 | description='API.INVALID_PERIOD_TYPE') |
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| 114 | else: |
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| 115 | period_type = str.strip(period_type) |
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| 116 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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| 117 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 118 | description='API.INVALID_PERIOD_TYPE') |
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| 119 | |||
| 120 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 121 | if config.utc_offset[0] == '-': |
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| 122 | timezone_offset = -timezone_offset |
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| 123 | |||
| 124 | base_start_datetime_utc = None |
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| 125 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
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| 126 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
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| 127 | try: |
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| 128 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 129 | except ValueError: |
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| 130 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 131 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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| 132 | base_start_datetime_utc = \ |
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| 133 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 134 | # nomalize the start datetime |
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| 135 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
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| 136 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 137 | else: |
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| 138 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 139 | |||
| 140 | base_end_datetime_utc = None |
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| 141 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
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| 142 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
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| 143 | try: |
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| 144 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 145 | except ValueError: |
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| 146 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 147 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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| 148 | base_end_datetime_utc = \ |
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| 149 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 150 | |||
| 151 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 152 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 153 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 154 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 155 | |||
| 156 | if reporting_period_start_datetime_local is None: |
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| 157 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 158 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 159 | else: |
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| 160 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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| 161 | try: |
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| 162 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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| 163 | '%Y-%m-%dT%H:%M:%S') |
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| 164 | except ValueError: |
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| 165 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 166 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 167 | reporting_start_datetime_utc = \ |
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| 168 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 169 | # nomalize the start datetime |
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| 170 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
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| 171 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 172 | else: |
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| 173 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 174 | |||
| 175 | if reporting_period_end_datetime_local is None: |
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| 176 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 177 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 178 | else: |
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| 179 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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| 180 | try: |
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| 181 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
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| 182 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 183 | timedelta(minutes=timezone_offset) |
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| 184 | except ValueError: |
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| 185 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 186 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 187 | |||
| 188 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 189 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 190 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 191 | |||
| 192 | # if turn quick mode on, do not return parameters data and excel file |
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| 193 | is_quick_mode = False |
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| 194 | if quick_mode is not None and \ |
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| 195 | len(str.strip(quick_mode)) > 0 and \ |
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| 196 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
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| 197 | is_quick_mode = True |
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| 198 | |||
| 199 | trans = utilities.get_translation(language) |
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| 200 | trans.install() |
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| 201 | _ = trans.gettext |
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| 202 | |||
| 203 | ################################################################################################################ |
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| 204 | # Step 2: query the tenant |
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| 205 | ################################################################################################################ |
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| 206 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 207 | cursor_system = cnx_system.cursor() |
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| 208 | |||
| 209 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 210 | cursor_energy = cnx_energy.cursor() |
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| 211 | |||
| 212 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
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| 213 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
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| 214 | |||
| 215 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 216 | cursor_historical = cnx_historical.cursor() |
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| 217 | |||
| 218 | if tenant_id is not None: |
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| 219 | cursor_system.execute(" SELECT id, name, area, cost_center_id " |
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| 220 | " FROM tbl_tenants " |
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| 221 | " WHERE id = %s ", (tenant_id,)) |
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| 222 | row_tenant = cursor_system.fetchone() |
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| 223 | elif tenant_uuid is not None: |
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| 224 | cursor_system.execute(" SELECT id, name, area, cost_center_id " |
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| 225 | " FROM tbl_tenants " |
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| 226 | " WHERE uuid = %s ", (tenant_uuid,)) |
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| 227 | row_tenant = cursor_system.fetchone() |
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| 228 | |||
| 229 | if row_tenant is None: |
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| 230 | if cursor_system: |
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| 231 | cursor_system.close() |
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| 232 | if cnx_system: |
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| 233 | cnx_system.close() |
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| 234 | |||
| 235 | if cursor_energy: |
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| 236 | cursor_energy.close() |
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| 237 | if cnx_energy: |
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| 238 | cnx_energy.close() |
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| 239 | |||
| 240 | if cursor_energy_baseline: |
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| 241 | cursor_energy_baseline.close() |
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| 242 | if cnx_energy_baseline: |
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| 243 | cnx_energy_baseline.close() |
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| 244 | |||
| 245 | if cursor_historical: |
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| 246 | cursor_historical.close() |
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| 247 | if cnx_historical: |
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| 248 | cnx_historical.close() |
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| 249 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', description='API.TENANT_NOT_FOUND') |
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| 250 | |||
| 251 | tenant = dict() |
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| 252 | tenant['id'] = row_tenant[0] |
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| 253 | tenant['name'] = row_tenant[1] |
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| 254 | tenant['area'] = row_tenant[2] |
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| 255 | tenant['cost_center_id'] = row_tenant[3] |
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| 256 | |||
| 257 | ################################################################################################################ |
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| 258 | # Step 3: query energy categories |
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| 259 | ################################################################################################################ |
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| 260 | energy_category_set = set() |
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| 261 | # query energy categories in base period |
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| 262 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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| 263 | " FROM tbl_tenant_input_category_hourly " |
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| 264 | " WHERE tenant_id = %s " |
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| 265 | " AND start_datetime_utc >= %s " |
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| 266 | " AND start_datetime_utc < %s ", |
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| 267 | (tenant['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 268 | rows_energy_categories = cursor_energy.fetchall() |
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| 269 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
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| 270 | for row_energy_category in rows_energy_categories: |
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| 271 | energy_category_set.add(row_energy_category[0]) |
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| 272 | |||
| 273 | # query energy categories in reporting period |
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| 274 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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| 275 | " FROM tbl_tenant_input_category_hourly " |
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| 276 | " WHERE tenant_id = %s " |
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| 277 | " AND start_datetime_utc >= %s " |
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| 278 | " AND start_datetime_utc < %s ", |
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| 279 | (tenant['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 280 | rows_energy_categories = cursor_energy.fetchall() |
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| 281 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
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| 282 | for row_energy_category in rows_energy_categories: |
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| 283 | energy_category_set.add(row_energy_category[0]) |
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| 284 | |||
| 285 | # query all energy categories in base period and reporting period |
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| 286 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
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| 287 | " FROM tbl_energy_categories " |
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| 288 | " ORDER BY id ", ) |
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| 289 | rows_energy_categories = cursor_system.fetchall() |
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| 290 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
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| 291 | if cursor_system: |
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| 292 | cursor_system.close() |
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| 293 | if cnx_system: |
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| 294 | cnx_system.close() |
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| 295 | |||
| 296 | if cursor_energy: |
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| 297 | cursor_energy.close() |
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| 298 | if cnx_energy: |
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| 299 | cnx_energy.close() |
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| 300 | |||
| 301 | if cursor_energy_baseline: |
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| 302 | cursor_energy_baseline.close() |
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| 303 | if cnx_energy_baseline: |
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| 304 | cnx_energy_baseline.close() |
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| 305 | |||
| 306 | if cursor_historical: |
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| 307 | cursor_historical.close() |
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| 308 | if cnx_historical: |
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| 309 | cnx_historical.close() |
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| 310 | raise falcon.HTTPError(status=falcon.HTTP_404, |
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| 311 | title='API.NOT_FOUND', |
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| 312 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
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| 313 | energy_category_dict = dict() |
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| 314 | for row_energy_category in rows_energy_categories: |
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| 315 | if row_energy_category[0] in energy_category_set: |
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| 316 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
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| 317 | "unit_of_measure": row_energy_category[2], |
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| 318 | "kgce": row_energy_category[3], |
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| 319 | "kgco2e": row_energy_category[4]} |
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| 320 | |||
| 321 | ################################################################################################################ |
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| 322 | # Step 4: query associated sensors |
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| 323 | ################################################################################################################ |
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| 324 | point_list = list() |
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| 325 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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| 326 | " FROM tbl_tenants t, tbl_sensors s, tbl_tenants_sensors ts, " |
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| 327 | " tbl_points p, tbl_sensors_points sp " |
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| 328 | " WHERE t.id = %s AND t.id = ts.tenant_id AND ts.sensor_id = s.id " |
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| 329 | " AND s.id = sp.sensor_id AND sp.point_id = p.id " |
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| 330 | " ORDER BY p.id ", (tenant['id'],)) |
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| 331 | rows_points = cursor_system.fetchall() |
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| 332 | if rows_points is not None and len(rows_points) > 0: |
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| 333 | for row in rows_points: |
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| 334 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 335 | |||
| 336 | ################################################################################################################ |
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| 337 | # Step 5: query associated points |
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| 338 | ################################################################################################################ |
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| 339 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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| 340 | " FROM tbl_tenants t, tbl_tenants_points tp, tbl_points p " |
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| 341 | " WHERE t.id = %s AND t.id = tp.tenant_id AND tp.point_id = p.id " |
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| 342 | " ORDER BY p.id ", (tenant['id'],)) |
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| 343 | rows_points = cursor_system.fetchall() |
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| 344 | if rows_points is not None and len(rows_points) > 0: |
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| 345 | for row in rows_points: |
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| 346 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 347 | |||
| 348 | ################################################################################################################ |
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| 349 | # Step 6: query base period energy saving |
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| 350 | ################################################################################################################ |
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| 351 | base = dict() |
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| 352 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 353 | for energy_category_id in energy_category_set: |
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| 354 | kgce = energy_category_dict[energy_category_id]['kgce'] |
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| 355 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
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| 356 | |||
| 357 | base[energy_category_id] = dict() |
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| 358 | base[energy_category_id]['timestamps'] = list() |
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| 359 | base[energy_category_id]['values_baseline'] = list() |
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| 360 | base[energy_category_id]['values_actual'] = list() |
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| 361 | base[energy_category_id]['values_saving'] = list() |
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| 362 | base[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
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| 363 | base[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
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| 364 | base[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
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| 365 | base[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
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| 366 | base[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
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| 367 | base[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
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| 368 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
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| 369 | base[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
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| 370 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
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| 371 | # query base period's energy baseline |
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| 372 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
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| 373 | " FROM tbl_tenant_input_category_hourly " |
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| 374 | " WHERE tenant_id = %s " |
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| 375 | " AND energy_category_id = %s " |
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| 376 | " AND start_datetime_utc >= %s " |
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| 377 | " AND start_datetime_utc < %s " |
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| 378 | " ORDER BY start_datetime_utc ", |
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| 379 | (tenant['id'], |
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| 380 | energy_category_id, |
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| 381 | base_start_datetime_utc, |
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| 382 | base_end_datetime_utc)) |
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| 383 | rows_tenant_hourly = cursor_energy_baseline.fetchall() |
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| 384 | |||
| 385 | rows_tenant_periodically = utilities.aggregate_hourly_data_by_period(rows_tenant_hourly, |
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| 386 | base_start_datetime_utc, |
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| 387 | base_end_datetime_utc, |
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| 388 | period_type) |
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| 389 | for row_tenant_periodically in rows_tenant_periodically: |
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| 390 | current_datetime_local = row_tenant_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 391 | timedelta(minutes=timezone_offset) |
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| 392 | if period_type == 'hourly': |
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| 393 | current_datetime = current_datetime_local.isoformat()[0:19] |
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| 394 | elif period_type == 'daily': |
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| 395 | current_datetime = current_datetime_local.isoformat()[0:10] |
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| 396 | elif period_type == 'weekly': |
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| 397 | current_datetime = current_datetime_local.isoformat()[0:10] |
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| 398 | elif period_type == 'monthly': |
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| 399 | current_datetime = current_datetime_local.isoformat()[0:7] |
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| 400 | elif period_type == 'yearly': |
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| 401 | current_datetime = current_datetime_local.isoformat()[0:4] |
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| 402 | |||
| 403 | baseline_value = Decimal(0.0) if row_tenant_periodically[1] is None else row_tenant_periodically[1] |
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| 404 | base[energy_category_id]['timestamps'].append(current_datetime) |
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| 405 | base[energy_category_id]['values_baseline'].append(baseline_value) |
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| 406 | base[energy_category_id]['subtotal_baseline'] += baseline_value |
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| 407 | base[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
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| 408 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
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| 409 | |||
| 410 | # query base period's energy actual |
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| 411 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 412 | " FROM tbl_tenant_input_category_hourly " |
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| 413 | " WHERE tenant_id = %s " |
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| 414 | " AND energy_category_id = %s " |
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| 415 | " AND start_datetime_utc >= %s " |
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| 416 | " AND start_datetime_utc < %s " |
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| 417 | " ORDER BY start_datetime_utc ", |
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| 418 | (tenant['id'], |
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| 419 | energy_category_id, |
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| 420 | base_start_datetime_utc, |
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| 421 | base_end_datetime_utc)) |
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| 422 | rows_tenant_hourly = cursor_energy.fetchall() |
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| 423 | |||
| 424 | rows_tenant_periodically = utilities.aggregate_hourly_data_by_period(rows_tenant_hourly, |
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| 425 | base_start_datetime_utc, |
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| 426 | base_end_datetime_utc, |
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| 427 | period_type) |
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| 428 | for row_tenant_periodically in rows_tenant_periodically: |
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| 429 | current_datetime_local = row_tenant_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 430 | timedelta(minutes=timezone_offset) |
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| 431 | if period_type == 'hourly': |
||
| 432 | current_datetime = current_datetime_local.isoformat()[0:19] |
||
| 433 | elif period_type == 'daily': |
||
| 434 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 435 | elif period_type == 'weekly': |
||
| 436 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 437 | elif period_type == 'monthly': |
||
| 438 | current_datetime = current_datetime_local.isoformat()[0:7] |
||
| 439 | elif period_type == 'yearly': |
||
| 440 | current_datetime = current_datetime_local.isoformat()[0:4] |
||
| 441 | |||
| 442 | actual_value = Decimal(0.0) if row_tenant_periodically[1] is None else row_tenant_periodically[1] |
||
| 443 | base[energy_category_id]['values_actual'].append(actual_value) |
||
| 444 | base[energy_category_id]['subtotal_actual'] += actual_value |
||
| 445 | base[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
||
| 446 | base[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
||
| 447 | |||
| 448 | # calculate base period's energy saving |
||
| 449 | for i in range(len(base[energy_category_id]['values_baseline'])): |
||
| 450 | base[energy_category_id]['values_saving'].append( |
||
| 451 | base[energy_category_id]['values_baseline'][i] - |
||
| 452 | base[energy_category_id]['values_actual'][i]) |
||
| 453 | |||
| 454 | base[energy_category_id]['subtotal_saving'] = \ |
||
| 455 | base[energy_category_id]['subtotal_baseline'] - \ |
||
| 456 | base[energy_category_id]['subtotal_actual'] |
||
| 457 | base[energy_category_id]['subtotal_in_kgce_saving'] = \ |
||
| 458 | base[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
||
| 459 | base[energy_category_id]['subtotal_in_kgce_actual'] |
||
| 460 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
||
| 461 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
||
| 462 | base[energy_category_id]['subtotal_in_kgco2e_actual'] |
||
| 463 | ################################################################################################################ |
||
| 464 | # Step 7: query reporting period energy saving |
||
| 465 | ################################################################################################################ |
||
| 466 | reporting = dict() |
||
| 467 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 468 | for energy_category_id in energy_category_set: |
||
| 469 | kgce = energy_category_dict[energy_category_id]['kgce'] |
||
| 470 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
||
| 471 | |||
| 472 | reporting[energy_category_id] = dict() |
||
| 473 | reporting[energy_category_id]['timestamps'] = list() |
||
| 474 | reporting[energy_category_id]['values_baseline'] = list() |
||
| 475 | reporting[energy_category_id]['values_actual'] = list() |
||
| 476 | reporting[energy_category_id]['values_saving'] = list() |
||
| 477 | reporting[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
||
| 478 | reporting[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
||
| 479 | reporting[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
||
| 480 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
||
| 481 | reporting[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
||
| 482 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
||
| 483 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
||
| 484 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
||
| 485 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
||
| 486 | # query reporting period's energy baseline |
||
| 487 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
||
| 488 | " FROM tbl_tenant_input_category_hourly " |
||
| 489 | " WHERE tenant_id = %s " |
||
| 490 | " AND energy_category_id = %s " |
||
| 491 | " AND start_datetime_utc >= %s " |
||
| 492 | " AND start_datetime_utc < %s " |
||
| 493 | " ORDER BY start_datetime_utc ", |
||
| 494 | (tenant['id'], |
||
| 495 | energy_category_id, |
||
| 496 | reporting_start_datetime_utc, |
||
| 497 | reporting_end_datetime_utc)) |
||
| 498 | rows_tenant_hourly = cursor_energy_baseline.fetchall() |
||
| 499 | |||
| 500 | rows_tenant_periodically = utilities.aggregate_hourly_data_by_period(rows_tenant_hourly, |
||
| 501 | reporting_start_datetime_utc, |
||
| 502 | reporting_end_datetime_utc, |
||
| 503 | period_type) |
||
| 504 | for row_tenant_periodically in rows_tenant_periodically: |
||
| 505 | current_datetime_local = row_tenant_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 506 | timedelta(minutes=timezone_offset) |
||
| 507 | if period_type == 'hourly': |
||
| 508 | current_datetime = current_datetime_local.isoformat()[0:19] |
||
| 509 | elif period_type == 'daily': |
||
| 510 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 511 | elif period_type == 'weekly': |
||
| 512 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 513 | elif period_type == 'monthly': |
||
| 514 | current_datetime = current_datetime_local.isoformat()[0:7] |
||
| 515 | elif period_type == 'yearly': |
||
| 516 | current_datetime = current_datetime_local.isoformat()[0:4] |
||
| 517 | |||
| 518 | baseline_value = Decimal(0.0) if row_tenant_periodically[1] is None else row_tenant_periodically[1] |
||
| 519 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
||
| 520 | reporting[energy_category_id]['values_baseline'].append(baseline_value) |
||
| 521 | reporting[energy_category_id]['subtotal_baseline'] += baseline_value |
||
| 522 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
||
| 523 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
||
| 524 | |||
| 525 | # query reporting period's energy actual |
||
| 526 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
||
| 527 | " FROM tbl_tenant_input_category_hourly " |
||
| 528 | " WHERE tenant_id = %s " |
||
| 529 | " AND energy_category_id = %s " |
||
| 530 | " AND start_datetime_utc >= %s " |
||
| 531 | " AND start_datetime_utc < %s " |
||
| 532 | " ORDER BY start_datetime_utc ", |
||
| 533 | (tenant['id'], |
||
| 534 | energy_category_id, |
||
| 535 | reporting_start_datetime_utc, |
||
| 536 | reporting_end_datetime_utc)) |
||
| 537 | rows_tenant_hourly = cursor_energy.fetchall() |
||
| 538 | |||
| 539 | rows_tenant_periodically = utilities.aggregate_hourly_data_by_period(rows_tenant_hourly, |
||
| 540 | reporting_start_datetime_utc, |
||
| 541 | reporting_end_datetime_utc, |
||
| 542 | period_type) |
||
| 543 | for row_tenant_periodically in rows_tenant_periodically: |
||
| 544 | current_datetime_local = row_tenant_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 545 | timedelta(minutes=timezone_offset) |
||
| 546 | if period_type == 'hourly': |
||
| 547 | current_datetime = current_datetime_local.isoformat()[0:19] |
||
| 548 | elif period_type == 'daily': |
||
| 549 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 550 | elif period_type == 'weekly': |
||
| 551 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 552 | elif period_type == 'monthly': |
||
| 553 | current_datetime = current_datetime_local.isoformat()[0:7] |
||
| 554 | elif period_type == 'yearly': |
||
| 555 | current_datetime = current_datetime_local.isoformat()[0:4] |
||
| 556 | |||
| 557 | actual_value = Decimal(0.0) if row_tenant_periodically[1] is None else row_tenant_periodically[1] |
||
| 558 | reporting[energy_category_id]['values_actual'].append(actual_value) |
||
| 559 | reporting[energy_category_id]['subtotal_actual'] += actual_value |
||
| 560 | reporting[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
||
| 561 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
||
| 562 | |||
| 563 | # calculate reporting period's energy savings |
||
| 564 | for i in range(len(reporting[energy_category_id]['values_baseline'])): |
||
| 565 | reporting[energy_category_id]['values_saving'].append( |
||
| 566 | reporting[energy_category_id]['values_baseline'][i] - |
||
| 567 | reporting[energy_category_id]['values_actual'][i]) |
||
| 568 | |||
| 569 | reporting[energy_category_id]['subtotal_saving'] = \ |
||
| 570 | reporting[energy_category_id]['subtotal_baseline'] - \ |
||
| 571 | reporting[energy_category_id]['subtotal_actual'] |
||
| 572 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = \ |
||
| 573 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
||
| 574 | reporting[energy_category_id]['subtotal_in_kgce_actual'] |
||
| 575 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
||
| 576 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
||
| 577 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] |
||
| 578 | ################################################################################################################ |
||
| 579 | # Step 8: query tariff data |
||
| 580 | ################################################################################################################ |
||
| 581 | parameters_data = dict() |
||
| 582 | parameters_data['names'] = list() |
||
| 583 | parameters_data['timestamps'] = list() |
||
| 584 | parameters_data['values'] = list() |
||
| 585 | if config.is_tariff_appended and energy_category_set is not None and len(energy_category_set) > 0 \ |
||
| 586 | and not is_quick_mode: |
||
| 587 | for energy_category_id in energy_category_set: |
||
| 588 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(tenant['cost_center_id'], |
||
| 589 | energy_category_id, |
||
| 590 | reporting_start_datetime_utc, |
||
| 591 | reporting_end_datetime_utc) |
||
| 592 | tariff_timestamp_list = list() |
||
| 593 | tariff_value_list = list() |
||
| 594 | for k, v in energy_category_tariff_dict.items(): |
||
| 595 | # convert k from utc to local |
||
| 596 | k = k + timedelta(minutes=timezone_offset) |
||
| 597 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
||
| 598 | tariff_value_list.append(v) |
||
| 599 | |||
| 600 | parameters_data['names'].append(_('Tariff') + '-' + energy_category_dict[energy_category_id]['name']) |
||
| 601 | parameters_data['timestamps'].append(tariff_timestamp_list) |
||
| 602 | parameters_data['values'].append(tariff_value_list) |
||
| 603 | |||
| 604 | ################################################################################################################ |
||
| 605 | # Step 9: query associated sensors and points data |
||
| 606 | ################################################################################################################ |
||
| 607 | if not is_quick_mode: |
||
| 608 | for point in point_list: |
||
| 609 | point_values = [] |
||
| 610 | point_timestamps = [] |
||
| 611 | if point['object_type'] == 'ENERGY_VALUE': |
||
| 612 | query = (" SELECT utc_date_time, actual_value " |
||
| 613 | " FROM tbl_energy_value " |
||
| 614 | " WHERE point_id = %s " |
||
| 615 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 616 | " ORDER BY utc_date_time ") |
||
| 617 | cursor_historical.execute(query, (point['id'], |
||
| 618 | reporting_start_datetime_utc, |
||
| 619 | reporting_end_datetime_utc)) |
||
| 620 | rows = cursor_historical.fetchall() |
||
| 621 | |||
| 622 | if rows is not None and len(rows) > 0: |
||
| 623 | for row in rows: |
||
| 624 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 625 | timedelta(minutes=timezone_offset) |
||
| 626 | current_datetime = current_datetime_local.isoformat()[0:19] |
||
| 627 | point_timestamps.append(current_datetime) |
||
| 628 | point_values.append(row[1]) |
||
| 629 | elif point['object_type'] == 'ANALOG_VALUE': |
||
| 630 | query = (" SELECT utc_date_time, actual_value " |
||
| 631 | " FROM tbl_analog_value " |
||
| 632 | " WHERE point_id = %s " |
||
| 633 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 634 | " ORDER BY utc_date_time ") |
||
| 635 | cursor_historical.execute(query, (point['id'], |
||
| 636 | reporting_start_datetime_utc, |
||
| 637 | reporting_end_datetime_utc)) |
||
| 638 | rows = cursor_historical.fetchall() |
||
| 639 | |||
| 640 | if rows is not None and len(rows) > 0: |
||
| 641 | for row in rows: |
||
| 642 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 643 | timedelta(minutes=timezone_offset) |
||
| 644 | current_datetime = current_datetime_local.isoformat()[0:19] |
||
| 645 | point_timestamps.append(current_datetime) |
||
| 646 | point_values.append(row[1]) |
||
| 647 | elif point['object_type'] == 'DIGITAL_VALUE': |
||
| 648 | query = (" SELECT utc_date_time, actual_value " |
||
| 649 | " FROM tbl_digital_value " |
||
| 650 | " WHERE point_id = %s " |
||
| 651 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 652 | " ORDER BY utc_date_time ") |
||
| 653 | cursor_historical.execute(query, (point['id'], |
||
| 654 | reporting_start_datetime_utc, |
||
| 655 | reporting_end_datetime_utc)) |
||
| 656 | rows = cursor_historical.fetchall() |
||
| 657 | |||
| 658 | if rows is not None and len(rows) > 0: |
||
| 659 | for row in rows: |
||
| 660 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 661 | timedelta(minutes=timezone_offset) |
||
| 662 | current_datetime = current_datetime_local.isoformat()[0:19] |
||
| 663 | point_timestamps.append(current_datetime) |
||
| 664 | point_values.append(row[1]) |
||
| 665 | |||
| 666 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
||
| 667 | parameters_data['timestamps'].append(point_timestamps) |
||
| 668 | parameters_data['values'].append(point_values) |
||
| 669 | |||
| 670 | ################################################################################################################ |
||
| 671 | # Step 10: construct the report |
||
| 672 | ################################################################################################################ |
||
| 673 | if cursor_system: |
||
| 674 | cursor_system.close() |
||
| 675 | if cnx_system: |
||
| 676 | cnx_system.close() |
||
| 677 | |||
| 678 | if cursor_energy: |
||
| 679 | cursor_energy.close() |
||
| 680 | if cnx_energy: |
||
| 681 | cnx_energy.close() |
||
| 682 | |||
| 683 | if cursor_energy_baseline: |
||
| 684 | cursor_energy_baseline.close() |
||
| 685 | if cnx_energy_baseline: |
||
| 686 | cnx_energy_baseline.close() |
||
| 687 | |||
| 688 | if cursor_historical: |
||
| 689 | cursor_historical.close() |
||
| 690 | if cnx_historical: |
||
| 691 | cnx_historical.close() |
||
| 692 | |||
| 693 | result = dict() |
||
| 694 | |||
| 695 | result['tenant'] = dict() |
||
| 696 | result['tenant']['name'] = tenant['name'] |
||
| 697 | result['tenant']['area'] = tenant['area'] |
||
| 698 | |||
| 699 | result['base_period'] = dict() |
||
| 700 | result['base_period']['names'] = list() |
||
| 701 | result['base_period']['units'] = list() |
||
| 702 | result['base_period']['timestamps'] = list() |
||
| 703 | result['base_period']['values_saving'] = list() |
||
| 704 | result['base_period']['subtotals_saving'] = list() |
||
| 705 | result['base_period']['subtotals_in_kgce_saving'] = list() |
||
| 706 | result['base_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 707 | result['base_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 708 | result['base_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 709 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 710 | for energy_category_id in energy_category_set: |
||
| 711 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 712 | result['base_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 713 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
||
| 714 | result['base_period']['values_saving'].append(base[energy_category_id]['values_saving']) |
||
| 715 | result['base_period']['subtotals_saving'].append(base[energy_category_id]['subtotal_saving']) |
||
| 716 | result['base_period']['subtotals_in_kgce_saving'].append( |
||
| 717 | base[energy_category_id]['subtotal_in_kgce_saving']) |
||
| 718 | result['base_period']['subtotals_in_kgco2e_saving'].append( |
||
| 719 | base[energy_category_id]['subtotal_in_kgco2e_saving']) |
||
| 720 | result['base_period']['total_in_kgce_saving'] += base[energy_category_id]['subtotal_in_kgce_saving'] |
||
| 721 | result['base_period']['total_in_kgco2e_saving'] += base[energy_category_id]['subtotal_in_kgco2e_saving'] |
||
| 722 | |||
| 723 | result['reporting_period'] = dict() |
||
| 724 | result['reporting_period']['names'] = list() |
||
| 725 | result['reporting_period']['energy_category_ids'] = list() |
||
| 726 | result['reporting_period']['units'] = list() |
||
| 727 | result['reporting_period']['timestamps'] = list() |
||
| 728 | result['reporting_period']['values_saving'] = list() |
||
| 729 | result['reporting_period']['rates_saving'] = list() |
||
| 730 | result['reporting_period']['subtotals_saving'] = list() |
||
| 731 | result['reporting_period']['subtotals_in_kgce_saving'] = list() |
||
| 732 | result['reporting_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 733 | result['reporting_period']['subtotals_per_unit_area_saving'] = list() |
||
| 734 | result['reporting_period']['increment_rates_saving'] = list() |
||
| 735 | result['reporting_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 736 | result['reporting_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 737 | result['reporting_period']['increment_rate_in_kgce_saving'] = Decimal(0.0) |
||
| 738 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = Decimal(0.0) |
||
| 739 | |||
| 740 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 741 | for energy_category_id in energy_category_set: |
||
| 742 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 743 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
||
| 744 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 745 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
||
| 746 | result['reporting_period']['values_saving'].append(reporting[energy_category_id]['values_saving']) |
||
| 747 | result['reporting_period']['subtotals_saving'].append(reporting[energy_category_id]['subtotal_saving']) |
||
| 748 | result['reporting_period']['subtotals_in_kgce_saving'].append( |
||
| 749 | reporting[energy_category_id]['subtotal_in_kgce_saving']) |
||
| 750 | result['reporting_period']['subtotals_in_kgco2e_saving'].append( |
||
| 751 | reporting[energy_category_id]['subtotal_in_kgco2e_saving']) |
||
| 752 | result['reporting_period']['subtotals_per_unit_area_saving'].append( |
||
| 753 | reporting[energy_category_id]['subtotal_saving'] / tenant['area'] |
||
| 754 | if tenant['area'] != Decimal(0.0) else None) |
||
| 755 | result['reporting_period']['increment_rates_saving'].append( |
||
| 756 | (reporting[energy_category_id]['subtotal_saving'] - base[energy_category_id]['subtotal_saving']) / |
||
| 757 | base[energy_category_id]['subtotal_saving'] |
||
| 758 | if base[energy_category_id]['subtotal_saving'] != Decimal(0.0) else None) |
||
| 759 | result['reporting_period']['total_in_kgce_saving'] += \ |
||
| 760 | reporting[energy_category_id]['subtotal_in_kgce_saving'] |
||
| 761 | result['reporting_period']['total_in_kgco2e_saving'] += \ |
||
| 762 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] |
||
| 763 | |||
| 764 | rate = list() |
||
| 765 | for index, value in enumerate(reporting[energy_category_id]['values_saving']): |
||
| 766 | if index < len(base[energy_category_id]['values_saving']) \ |
||
| 767 | and base[energy_category_id]['values_saving'][index] != Decimal(0.0) \ |
||
| 768 | and value != Decimal(0.0): |
||
| 769 | rate.append((value - base[energy_category_id]['values_saving'][index]) |
||
| 770 | / base[energy_category_id]['values_saving'][index]) |
||
| 771 | else: |
||
| 772 | rate.append(None) |
||
| 773 | result['reporting_period']['rates_saving'].append(rate) |
||
| 774 | |||
| 775 | result['reporting_period']['total_in_kgco2e_per_unit_area_saving'] = \ |
||
| 776 | result['reporting_period']['total_in_kgce_saving'] / tenant['area'] \ |
||
| 777 | if tenant['area'] != Decimal(0.0) else None |
||
| 778 | |||
| 779 | result['reporting_period']['increment_rate_in_kgce_saving'] = \ |
||
| 780 | (result['reporting_period']['total_in_kgce_saving'] - result['base_period']['total_in_kgce_saving']) / \ |
||
| 781 | result['base_period']['total_in_kgce_saving'] \ |
||
| 782 | if result['base_period']['total_in_kgce_saving'] != Decimal(0.0) else None |
||
| 783 | |||
| 784 | result['reporting_period']['total_in_kgce_per_unit_area_saving'] = \ |
||
| 785 | result['reporting_period']['total_in_kgco2e_saving'] / tenant['area'] if tenant['area'] > 0.0 else None |
||
| 786 | |||
| 787 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = \ |
||
| 788 | (result['reporting_period']['total_in_kgco2e_saving'] - result['base_period']['total_in_kgco2e_saving']) / \ |
||
| 789 | result['base_period']['total_in_kgco2e_saving'] \ |
||
| 790 | if result['base_period']['total_in_kgco2e_saving'] != Decimal(0.0) else None |
||
| 791 | |||
| 792 | result['parameters'] = { |
||
| 793 | "names": parameters_data['names'], |
||
| 794 | "timestamps": parameters_data['timestamps'], |
||
| 795 | "values": parameters_data['values'] |
||
| 796 | } |
||
| 797 | |||
| 798 | # export result to Excel file and then encode the file to base64 string |
||
| 799 | if not is_quick_mode: |
||
| 800 | result['excel_bytes_base64'] = excelexporters.tenantsaving.export(result, |
||
| 801 | tenant['name'], |
||
| 802 | base_period_start_datetime_local, |
||
| 803 | base_period_end_datetime_local, |
||
| 804 | reporting_period_start_datetime_local, |
||
| 805 | reporting_period_end_datetime_local, |
||
| 806 | period_type, |
||
| 807 | language) |
||
| 808 | |||
| 809 | resp.text = json.dumps(result) |
||
| 810 |
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