myems /
myems-api
| Conditions | 171 |
| Total Lines | 911 |
| Code Lines | 694 |
| Lines | 73 |
| Ratio | 8.01 % |
| 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.dashboard.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 falcon |
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| 37 | @staticmethod |
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| 38 | def on_get(req, resp): |
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| 39 | print(req.params) |
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| 40 | user_uuid = req.params.get('useruuid') |
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| 41 | period_type = req.params.get('periodtype') |
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| 42 | base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 43 | base_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 44 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 45 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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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 user_uuid is None: |
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| 51 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_USER_UUID') |
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| 52 | else: |
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| 53 | user_uuid = str.strip(user_uuid) |
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| 54 | if len(user_uuid) != 36: |
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| 55 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_USER_UUID') |
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| 56 | |||
| 57 | if period_type is None: |
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| 58 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 59 | else: |
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| 60 | period_type = str.strip(period_type) |
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| 61 | if period_type not in ['hourly', 'daily', 'monthly', 'yearly']: |
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| 62 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 63 | |||
| 64 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 65 | if config.utc_offset[0] == '-': |
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| 66 | timezone_offset = -timezone_offset |
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| 67 | |||
| 68 | base_start_datetime_utc = None |
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| 69 | if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
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| 70 | base_start_datetime_local = str.strip(base_start_datetime_local) |
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| 71 | try: |
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| 72 | base_start_datetime_utc = datetime.strptime(base_start_datetime_local, |
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| 73 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 74 | timedelta(minutes=timezone_offset) |
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| 75 | except ValueError: |
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| 76 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 77 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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| 78 | |||
| 79 | base_end_datetime_utc = None |
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| 80 | if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
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| 81 | base_end_datetime_local = str.strip(base_end_datetime_local) |
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| 82 | try: |
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| 83 | base_end_datetime_utc = datetime.strptime(base_end_datetime_local, |
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| 84 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 85 | timedelta(minutes=timezone_offset) |
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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_END_DATETIME") |
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| 89 | |||
| 90 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 91 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 92 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 93 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 94 | |||
| 95 | if reporting_start_datetime_local is None: |
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| 96 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 97 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 98 | else: |
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| 99 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
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| 100 | try: |
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| 101 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
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| 102 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 103 | timedelta(minutes=timezone_offset) |
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| 104 | except ValueError: |
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| 105 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 106 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 107 | |||
| 108 | if reporting_end_datetime_local is None: |
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| 109 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 110 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 111 | else: |
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| 112 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
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| 113 | try: |
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| 114 | reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, |
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| 115 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 116 | timedelta(minutes=timezone_offset) |
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| 117 | except ValueError: |
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| 118 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 119 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 120 | |||
| 121 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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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_END_DATETIME') |
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| 124 | |||
| 125 | ################################################################################################################ |
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| 126 | # Step 2: query the space |
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| 127 | ################################################################################################################ |
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| 128 | |||
| 129 | cnx_user = mysql.connector.connect(**config.myems_user_db) |
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| 130 | cursor_user = cnx_user.cursor() |
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| 131 | |||
| 132 | cursor_user.execute(" SELECT id, is_admin, privilege_id " |
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| 133 | " FROM tbl_users " |
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| 134 | " WHERE uuid = %s ", (user_uuid,)) |
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| 135 | row_user = cursor_user.fetchone() |
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| 136 | if row_user is None: |
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| 137 | if cursor_user: |
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| 138 | cursor_user.close() |
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| 139 | if cnx_user: |
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| 140 | cnx_user.disconnect() |
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| 141 | |||
| 142 | raise falcon.HTTPError(falcon.HTTP_404, 'API.NOT_FOUND', 'API.USER_NOT_FOUND') |
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| 143 | |||
| 144 | user = {'id': row_user[0], 'is_admin': row_user[1], 'privilege_id': row_user[2]} |
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| 145 | if user['is_admin']: |
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| 146 | # todo: make sure the space id is always 1 for admin |
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| 147 | space_id = 1 |
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| 148 | else: |
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| 149 | cursor_user.execute(" SELECT data " |
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| 150 | " FROM tbl_privileges " |
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| 151 | " WHERE id = %s ", (user['privilege_id'],)) |
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| 152 | row_privilege = cursor_user.fetchone() |
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| 153 | if row_privilege is None: |
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| 154 | if cursor_user: |
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| 155 | cursor_user.close() |
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| 156 | if cnx_user: |
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| 157 | cnx_user.disconnect() |
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| 158 | |||
| 159 | raise falcon.HTTPError(falcon.HTTP_404, 'API.NOT_FOUND', 'API.USER_PRIVILEGE_NOT_FOUND') |
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| 160 | |||
| 161 | privilege_data = json.loads(row_privilege[0]) |
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| 162 | if 'spaces' not in privilege_data.keys() \ |
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| 163 | or privilege_data['spaces'] is None \ |
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| 164 | or len(privilege_data['spaces']) == 0: |
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| 165 | if cursor_user: |
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| 166 | cursor_user.close() |
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| 167 | if cnx_user: |
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| 168 | cnx_user.disconnect() |
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| 169 | |||
| 170 | raise falcon.HTTPError(falcon.HTTP_404, 'API.NOT_FOUND', 'API.USER_PRIVILEGE_NOT_FOUND') |
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| 171 | # todo: how to deal with multiple spaces in privilege data |
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| 172 | space_id = privilege_data['spaces'][0] |
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| 173 | |||
| 174 | if cursor_user: |
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| 175 | cursor_user.close() |
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| 176 | if cnx_user: |
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| 177 | cnx_user.disconnect() |
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| 178 | |||
| 179 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 180 | cursor_system = cnx_system.cursor() |
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| 181 | |||
| 182 | cursor_system.execute(" SELECT id, name, area, cost_center_id " |
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| 183 | " FROM tbl_spaces " |
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| 184 | " WHERE id = %s ", (space_id,)) |
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| 185 | row_space = cursor_system.fetchone() |
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| 186 | if row_space 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.disconnect() |
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| 191 | |||
| 192 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.SPACE_NOT_FOUND') |
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| 193 | |||
| 194 | space = dict() |
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| 195 | space['id'] = row_space[0] |
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| 196 | space['name'] = row_space[1] |
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| 197 | space['area'] = row_space[2] |
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| 198 | space['cost_center_id'] = row_space[3] |
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| 199 | |||
| 200 | ################################################################################################################ |
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| 201 | # Step 3: query energy categories |
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| 202 | ################################################################################################################ |
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| 203 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 204 | cursor_energy = cnx_energy.cursor() |
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| 205 | |||
| 206 | cnx_billing = mysql.connector.connect(**config.myems_billing_db) |
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| 207 | cursor_billing = cnx_billing.cursor() |
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| 208 | |||
| 209 | energy_category_set = set() |
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| 210 | # query energy categories in base period |
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| 211 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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| 212 | " FROM tbl_space_input_category_hourly " |
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| 213 | " WHERE space_id = %s " |
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| 214 | " AND start_datetime_utc >= %s " |
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| 215 | " AND start_datetime_utc < %s ", |
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| 216 | (space['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 217 | rows_energy_categories = cursor_energy.fetchall() |
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| 218 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
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| 219 | for row_energy_category in rows_energy_categories: |
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| 220 | energy_category_set.add(row_energy_category[0]) |
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| 221 | |||
| 222 | # query energy categories in reporting period |
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| 223 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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| 224 | " FROM tbl_space_input_category_hourly " |
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| 225 | " WHERE space_id = %s " |
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| 226 | " AND start_datetime_utc >= %s " |
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| 227 | " AND start_datetime_utc < %s ", |
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| 228 | (space['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 229 | rows_energy_categories = cursor_energy.fetchall() |
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| 230 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
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| 231 | for row_energy_category in rows_energy_categories: |
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| 232 | energy_category_set.add(row_energy_category[0]) |
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| 233 | |||
| 234 | # query all energy categories in base period and reporting period |
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| 235 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
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| 236 | " FROM tbl_energy_categories " |
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| 237 | " ORDER BY id ", ) |
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| 238 | rows_energy_categories = cursor_system.fetchall() |
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| 239 | View Code Duplication | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
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|
Duplication
introduced
by
|
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| 240 | if cursor_system: |
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| 241 | cursor_system.close() |
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| 242 | if cnx_system: |
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| 243 | cnx_system.disconnect() |
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| 244 | |||
| 245 | if cursor_energy: |
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| 246 | cursor_energy.close() |
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| 247 | if cnx_energy: |
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| 248 | cnx_energy.disconnect() |
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| 249 | |||
| 250 | if cursor_billing: |
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| 251 | cursor_billing.close() |
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| 252 | if cnx_billing: |
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| 253 | cnx_billing.disconnect() |
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| 254 | |||
| 255 | raise falcon.HTTPError(falcon.HTTP_404, |
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| 256 | title='API.NOT_FOUND', |
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| 257 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
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| 258 | energy_category_dict = dict() |
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| 259 | for row_energy_category in rows_energy_categories: |
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| 260 | if row_energy_category[0] in energy_category_set: |
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| 261 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
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| 262 | "unit_of_measure": row_energy_category[2], |
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| 263 | "kgce": row_energy_category[3], |
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| 264 | "kgco2e": row_energy_category[4]} |
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| 265 | |||
| 266 | ################################################################################################################ |
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| 267 | # Step 4: query associated sensors |
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| 268 | ################################################################################################################ |
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| 269 | point_list = list() |
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| 270 | cursor_system.execute(" SELECT po.id, po.name, po.units, po.object_type " |
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| 271 | " FROM tbl_spaces sp, tbl_sensors se, tbl_spaces_sensors spse, " |
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| 272 | " tbl_points po, tbl_sensors_points sepo " |
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| 273 | " WHERE sp.id = %s AND sp.id = spse.space_id AND spse.sensor_id = se.id " |
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| 274 | " AND se.id = sepo.sensor_id AND sepo.point_id = po.id " |
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| 275 | " ORDER BY po.id ", (space['id'], )) |
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| 276 | rows_points = cursor_system.fetchall() |
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| 277 | if rows_points is not None and len(rows_points) > 0: |
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| 278 | for row in rows_points: |
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| 279 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 280 | |||
| 281 | ################################################################################################################ |
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| 282 | # Step 5: query associated points |
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| 283 | ################################################################################################################ |
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| 284 | cursor_system.execute(" SELECT po.id, po.name, po.units, po.object_type " |
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| 285 | " FROM tbl_spaces sp, tbl_spaces_points sppo, tbl_points po " |
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| 286 | " WHERE sp.id = %s AND sp.id = sppo.space_id AND sppo.point_id = po.id " |
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| 287 | " ORDER BY po.id ", (space['id'], )) |
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| 288 | rows_points = cursor_system.fetchall() |
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| 289 | if rows_points is not None and len(rows_points) > 0: |
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| 290 | for row in rows_points: |
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| 291 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 292 | |||
| 293 | ################################################################################################################ |
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| 294 | # Step 6: query child spaces |
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| 295 | ################################################################################################################ |
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| 296 | child_space_list = list() |
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| 297 | cursor_system.execute(" SELECT id, name " |
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| 298 | " FROM tbl_spaces " |
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| 299 | " WHERE parent_space_id = %s " |
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| 300 | " ORDER BY id ", (space['id'], )) |
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| 301 | rows_child_spaces = cursor_system.fetchall() |
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| 302 | if rows_child_spaces is not None and len(rows_child_spaces) > 0: |
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| 303 | for row in rows_child_spaces: |
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| 304 | child_space_list.append({"id": row[0], "name": row[1]}) |
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| 305 | |||
| 306 | ################################################################################################################ |
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| 307 | # Step 7: query base period energy input |
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| 308 | ################################################################################################################ |
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| 309 | base_input = dict() |
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| 310 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 311 | for energy_category_id in energy_category_set: |
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| 312 | kgce = energy_category_dict[energy_category_id]['kgce'] |
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| 313 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
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| 314 | |||
| 315 | base_input[energy_category_id] = dict() |
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| 316 | base_input[energy_category_id]['timestamps'] = list() |
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| 317 | base_input[energy_category_id]['values'] = list() |
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| 318 | base_input[energy_category_id]['subtotal'] = Decimal(0.0) |
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| 319 | base_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
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| 320 | base_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
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| 321 | |||
| 322 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 323 | " FROM tbl_space_input_category_hourly " |
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| 324 | " WHERE space_id = %s " |
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| 325 | " AND energy_category_id = %s " |
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| 326 | " AND start_datetime_utc >= %s " |
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| 327 | " AND start_datetime_utc < %s " |
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| 328 | " ORDER BY start_datetime_utc ", |
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| 329 | (space['id'], |
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| 330 | energy_category_id, |
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| 331 | base_start_datetime_utc, |
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| 332 | base_end_datetime_utc)) |
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| 333 | rows_space_hourly = cursor_energy.fetchall() |
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| 334 | |||
| 335 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
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| 336 | base_start_datetime_utc, |
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| 337 | base_end_datetime_utc, |
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| 338 | period_type) |
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| 339 | for row_space_periodically in rows_space_periodically: |
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| 340 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 341 | timedelta(minutes=timezone_offset) |
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| 342 | if period_type == 'hourly': |
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| 343 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 344 | elif period_type == 'daily': |
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| 345 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 346 | elif period_type == 'monthly': |
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| 347 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 348 | elif period_type == 'yearly': |
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| 349 | current_datetime = current_datetime_local.strftime('%Y') |
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| 350 | |||
| 351 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
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| 352 | base_input[energy_category_id]['timestamps'].append(current_datetime) |
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| 353 | base_input[energy_category_id]['values'].append(actual_value) |
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| 354 | base_input[energy_category_id]['subtotal'] += actual_value |
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| 355 | base_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
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| 356 | base_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
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| 357 | |||
| 358 | ################################################################################################################ |
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| 359 | # Step 8: query base period energy cost |
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| 360 | ################################################################################################################ |
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| 361 | base_cost = dict() |
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| 362 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 363 | for energy_category_id in energy_category_set: |
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| 364 | base_cost[energy_category_id] = dict() |
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| 365 | base_cost[energy_category_id]['timestamps'] = list() |
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| 366 | base_cost[energy_category_id]['values'] = list() |
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| 367 | base_cost[energy_category_id]['subtotal'] = Decimal(0.0) |
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| 368 | |||
| 369 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
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| 370 | " FROM tbl_space_input_category_hourly " |
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| 371 | " WHERE space_id = %s " |
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| 372 | " AND energy_category_id = %s " |
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| 373 | " AND start_datetime_utc >= %s " |
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| 374 | " AND start_datetime_utc < %s " |
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| 375 | " ORDER BY start_datetime_utc ", |
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| 376 | (space['id'], |
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| 377 | energy_category_id, |
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| 378 | base_start_datetime_utc, |
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| 379 | base_end_datetime_utc)) |
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| 380 | rows_space_hourly = cursor_billing.fetchall() |
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| 381 | |||
| 382 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
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| 383 | base_start_datetime_utc, |
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| 384 | base_end_datetime_utc, |
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| 385 | period_type) |
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| 386 | for row_space_periodically in rows_space_periodically: |
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| 387 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 388 | timedelta(minutes=timezone_offset) |
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| 389 | if period_type == 'hourly': |
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| 390 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 391 | elif period_type == 'daily': |
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| 392 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 393 | elif period_type == 'monthly': |
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| 394 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 395 | elif period_type == 'yearly': |
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| 396 | current_datetime = current_datetime_local.strftime('%Y') |
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| 397 | |||
| 398 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
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| 399 | base_cost[energy_category_id]['timestamps'].append(current_datetime) |
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| 400 | base_cost[energy_category_id]['values'].append(actual_value) |
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| 401 | base_cost[energy_category_id]['subtotal'] += actual_value |
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| 402 | |||
| 403 | ################################################################################################################ |
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| 404 | # Step 9: query reporting period energy input |
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| 405 | ################################################################################################################ |
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| 406 | reporting_input = dict() |
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| 407 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 408 | for energy_category_id in energy_category_set: |
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| 409 | kgce = energy_category_dict[energy_category_id]['kgce'] |
||
| 410 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
||
| 411 | |||
| 412 | reporting_input[energy_category_id] = dict() |
||
| 413 | reporting_input[energy_category_id]['timestamps'] = list() |
||
| 414 | reporting_input[energy_category_id]['values'] = list() |
||
| 415 | reporting_input[energy_category_id]['subtotal'] = Decimal(0.0) |
||
| 416 | reporting_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
||
| 417 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
||
| 418 | reporting_input[energy_category_id]['toppeak'] = Decimal(0.0) |
||
| 419 | reporting_input[energy_category_id]['onpeak'] = Decimal(0.0) |
||
| 420 | reporting_input[energy_category_id]['midpeak'] = Decimal(0.0) |
||
| 421 | reporting_input[energy_category_id]['offpeak'] = Decimal(0.0) |
||
| 422 | |||
| 423 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
||
| 424 | " FROM tbl_space_input_category_hourly " |
||
| 425 | " WHERE space_id = %s " |
||
| 426 | " AND energy_category_id = %s " |
||
| 427 | " AND start_datetime_utc >= %s " |
||
| 428 | " AND start_datetime_utc < %s " |
||
| 429 | " ORDER BY start_datetime_utc ", |
||
| 430 | (space['id'], |
||
| 431 | energy_category_id, |
||
| 432 | reporting_start_datetime_utc, |
||
| 433 | reporting_end_datetime_utc)) |
||
| 434 | rows_space_hourly = cursor_energy.fetchall() |
||
| 435 | |||
| 436 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
||
| 437 | reporting_start_datetime_utc, |
||
| 438 | reporting_end_datetime_utc, |
||
| 439 | period_type) |
||
| 440 | for row_space_periodically in rows_space_periodically: |
||
| 441 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 442 | timedelta(minutes=timezone_offset) |
||
| 443 | if period_type == 'hourly': |
||
| 444 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 445 | elif period_type == 'daily': |
||
| 446 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 447 | elif period_type == 'monthly': |
||
| 448 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 449 | elif period_type == 'yearly': |
||
| 450 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 451 | |||
| 452 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
||
| 453 | reporting_input[energy_category_id]['timestamps'].append(current_datetime) |
||
| 454 | reporting_input[energy_category_id]['values'].append(actual_value) |
||
| 455 | reporting_input[energy_category_id]['subtotal'] += actual_value |
||
| 456 | reporting_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
||
| 457 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
||
| 458 | |||
| 459 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
||
| 460 | energy_category_id, |
||
| 461 | reporting_start_datetime_utc, |
||
| 462 | reporting_end_datetime_utc) |
||
| 463 | for row in rows_space_hourly: |
||
| 464 | peak_type = energy_category_tariff_dict.get(row[0], None) |
||
| 465 | if peak_type == 'toppeak': |
||
| 466 | reporting_input[energy_category_id]['toppeak'] += row[1] |
||
| 467 | elif peak_type == 'onpeak': |
||
| 468 | reporting_input[energy_category_id]['onpeak'] += row[1] |
||
| 469 | elif peak_type == 'midpeak': |
||
| 470 | reporting_input[energy_category_id]['midpeak'] += row[1] |
||
| 471 | elif peak_type == 'offpeak': |
||
| 472 | reporting_input[energy_category_id]['offpeak'] += row[1] |
||
| 473 | |||
| 474 | ################################################################################################################ |
||
| 475 | # Step 10: query reporting period energy cost |
||
| 476 | ################################################################################################################ |
||
| 477 | reporting_cost = dict() |
||
| 478 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 479 | for energy_category_id in energy_category_set: |
||
| 480 | |||
| 481 | reporting_cost[energy_category_id] = dict() |
||
| 482 | reporting_cost[energy_category_id]['timestamps'] = list() |
||
| 483 | reporting_cost[energy_category_id]['values'] = list() |
||
| 484 | reporting_cost[energy_category_id]['subtotal'] = Decimal(0.0) |
||
| 485 | reporting_cost[energy_category_id]['toppeak'] = Decimal(0.0) |
||
| 486 | reporting_cost[energy_category_id]['onpeak'] = Decimal(0.0) |
||
| 487 | reporting_cost[energy_category_id]['midpeak'] = Decimal(0.0) |
||
| 488 | reporting_cost[energy_category_id]['offpeak'] = Decimal(0.0) |
||
| 489 | |||
| 490 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
||
| 491 | " FROM tbl_space_input_category_hourly " |
||
| 492 | " WHERE space_id = %s " |
||
| 493 | " AND energy_category_id = %s " |
||
| 494 | " AND start_datetime_utc >= %s " |
||
| 495 | " AND start_datetime_utc < %s " |
||
| 496 | " ORDER BY start_datetime_utc ", |
||
| 497 | (space['id'], |
||
| 498 | energy_category_id, |
||
| 499 | reporting_start_datetime_utc, |
||
| 500 | reporting_end_datetime_utc)) |
||
| 501 | rows_space_hourly = cursor_billing.fetchall() |
||
| 502 | |||
| 503 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
||
| 504 | reporting_start_datetime_utc, |
||
| 505 | reporting_end_datetime_utc, |
||
| 506 | period_type) |
||
| 507 | for row_space_periodically in rows_space_periodically: |
||
| 508 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 509 | timedelta(minutes=timezone_offset) |
||
| 510 | if period_type == 'hourly': |
||
| 511 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 512 | elif period_type == 'daily': |
||
| 513 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 514 | elif period_type == 'monthly': |
||
| 515 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 516 | elif period_type == 'yearly': |
||
| 517 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 518 | |||
| 519 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
||
| 520 | reporting_cost[energy_category_id]['timestamps'].append(current_datetime) |
||
| 521 | reporting_cost[energy_category_id]['values'].append(actual_value) |
||
| 522 | reporting_cost[energy_category_id]['subtotal'] += actual_value |
||
| 523 | |||
| 524 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
||
| 525 | energy_category_id, |
||
| 526 | reporting_start_datetime_utc, |
||
| 527 | reporting_end_datetime_utc) |
||
| 528 | for row in rows_space_hourly: |
||
| 529 | peak_type = energy_category_tariff_dict.get(row[0], None) |
||
| 530 | if peak_type == 'toppeak': |
||
| 531 | reporting_cost[energy_category_id]['toppeak'] += row[1] |
||
| 532 | elif peak_type == 'onpeak': |
||
| 533 | reporting_cost[energy_category_id]['onpeak'] += row[1] |
||
| 534 | elif peak_type == 'midpeak': |
||
| 535 | reporting_cost[energy_category_id]['midpeak'] += row[1] |
||
| 536 | elif peak_type == 'offpeak': |
||
| 537 | reporting_cost[energy_category_id]['offpeak'] += row[1] |
||
| 538 | ################################################################################################################ |
||
| 539 | # Step 11: query tariff data |
||
| 540 | ################################################################################################################ |
||
| 541 | parameters_data = dict() |
||
| 542 | parameters_data['names'] = list() |
||
| 543 | parameters_data['timestamps'] = list() |
||
| 544 | parameters_data['values'] = list() |
||
| 545 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 546 | for energy_category_id in energy_category_set: |
||
| 547 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(space['cost_center_id'], |
||
| 548 | energy_category_id, |
||
| 549 | reporting_start_datetime_utc, |
||
| 550 | reporting_end_datetime_utc) |
||
| 551 | tariff_timestamp_list = list() |
||
| 552 | tariff_value_list = list() |
||
| 553 | for k, v in energy_category_tariff_dict.items(): |
||
| 554 | # convert k from utc to local |
||
| 555 | k = k + timedelta(minutes=timezone_offset) |
||
| 556 | tariff_timestamp_list.append(k.isoformat()[0:19][0:19]) |
||
| 557 | tariff_value_list.append(v) |
||
| 558 | |||
| 559 | parameters_data['names'].append('TARIFF-' + energy_category_dict[energy_category_id]['name']) |
||
| 560 | parameters_data['timestamps'].append(tariff_timestamp_list) |
||
| 561 | parameters_data['values'].append(tariff_value_list) |
||
| 562 | |||
| 563 | ################################################################################################################ |
||
| 564 | # Step 12: query associated sensors and points data |
||
| 565 | ################################################################################################################ |
||
| 566 | |||
| 567 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
||
| 568 | cursor_historical = cnx_historical.cursor() |
||
| 569 | |||
| 570 | for point in point_list: |
||
| 571 | point_values = [] |
||
| 572 | point_timestamps = [] |
||
| 573 | if point['object_type'] == 'ANALOG_VALUE': |
||
| 574 | query = (" SELECT utc_date_time, actual_value " |
||
| 575 | " FROM tbl_analog_value " |
||
| 576 | " WHERE point_id = %s " |
||
| 577 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 578 | " ORDER BY utc_date_time ") |
||
| 579 | cursor_historical.execute(query, (point['id'], |
||
| 580 | reporting_start_datetime_utc, |
||
| 581 | reporting_end_datetime_utc)) |
||
| 582 | rows = cursor_historical.fetchall() |
||
| 583 | |||
| 584 | if rows is not None and len(rows) > 0: |
||
| 585 | for row in rows: |
||
| 586 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 587 | timedelta(minutes=timezone_offset) |
||
| 588 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 589 | point_timestamps.append(current_datetime) |
||
| 590 | point_values.append(row[1]) |
||
| 591 | |||
| 592 | elif point['object_type'] == 'ENERGY_VALUE': |
||
| 593 | query = (" SELECT utc_date_time, actual_value " |
||
| 594 | " FROM tbl_energy_value " |
||
| 595 | " WHERE point_id = %s " |
||
| 596 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 597 | " ORDER BY utc_date_time ") |
||
| 598 | cursor_historical.execute(query, (point['id'], |
||
| 599 | reporting_start_datetime_utc, |
||
| 600 | reporting_end_datetime_utc)) |
||
| 601 | rows = cursor_historical.fetchall() |
||
| 602 | |||
| 603 | if rows is not None and len(rows) > 0: |
||
| 604 | for row in rows: |
||
| 605 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 606 | timedelta(minutes=timezone_offset) |
||
| 607 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 608 | point_timestamps.append(current_datetime) |
||
| 609 | point_values.append(row[1]) |
||
| 610 | elif point['object_type'] == 'DIGITAL_VALUE': |
||
| 611 | query = (" SELECT utc_date_time, actual_value " |
||
| 612 | " FROM tbl_digital_value " |
||
| 613 | " WHERE point_id = %s " |
||
| 614 | " AND utc_date_time BETWEEN %s AND %s ") |
||
| 615 | cursor_historical.execute(query, (point['id'], |
||
| 616 | reporting_start_datetime_utc, |
||
| 617 | reporting_end_datetime_utc)) |
||
| 618 | rows = cursor_historical.fetchall() |
||
| 619 | |||
| 620 | if rows is not None and len(rows) > 0: |
||
| 621 | for row in rows: |
||
| 622 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 623 | timedelta(minutes=timezone_offset) |
||
| 624 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 625 | point_timestamps.append(current_datetime) |
||
| 626 | point_values.append(row[1]) |
||
| 627 | |||
| 628 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
||
| 629 | parameters_data['timestamps'].append(point_timestamps) |
||
| 630 | parameters_data['values'].append(point_values) |
||
| 631 | |||
| 632 | ################################################################################################################ |
||
| 633 | # Step 13: query child spaces energy input |
||
| 634 | ################################################################################################################ |
||
| 635 | child_space_input = dict() |
||
| 636 | |||
| 637 | View Code Duplication | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 638 | for energy_category_id in energy_category_set: |
||
| 639 | child_space_input[energy_category_id] = dict() |
||
| 640 | child_space_input[energy_category_id]['child_space_names'] = list() |
||
| 641 | child_space_input[energy_category_id]['subtotals'] = list() |
||
| 642 | child_space_input[energy_category_id]['subtotals_in_kgce'] = list() |
||
| 643 | child_space_input[energy_category_id]['subtotals_in_kgco2e'] = list() |
||
| 644 | kgce = energy_category_dict[energy_category_id]['kgce'] |
||
| 645 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
||
| 646 | for child_space in child_space_list: |
||
| 647 | child_space_input[energy_category_id]['child_space_names'].append(child_space['name']) |
||
| 648 | |||
| 649 | cursor_energy.execute(" SELECT SUM(actual_value) " |
||
| 650 | " FROM tbl_space_input_category_hourly " |
||
| 651 | " WHERE space_id = %s " |
||
| 652 | " AND energy_category_id = %s " |
||
| 653 | " AND start_datetime_utc >= %s " |
||
| 654 | " AND start_datetime_utc < %s " |
||
| 655 | " ORDER BY start_datetime_utc ", |
||
| 656 | (child_space['id'], |
||
| 657 | energy_category_id, |
||
| 658 | reporting_start_datetime_utc, |
||
| 659 | reporting_end_datetime_utc)) |
||
| 660 | row_subtotal = cursor_energy.fetchone() |
||
| 661 | |||
| 662 | subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0] |
||
| 663 | child_space_input[energy_category_id]['subtotals'].append(subtotal) |
||
| 664 | child_space_input[energy_category_id]['subtotals_in_kgce'].append(subtotal * kgce) |
||
| 665 | child_space_input[energy_category_id]['subtotals_in_kgco2e'].append(subtotal * kgco2e) |
||
| 666 | |||
| 667 | ################################################################################################################ |
||
| 668 | # Step 14: query child spaces energy cost |
||
| 669 | ################################################################################################################ |
||
| 670 | child_space_cost = dict() |
||
| 671 | |||
| 672 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 673 | for energy_category_id in energy_category_set: |
||
| 674 | child_space_cost[energy_category_id] = dict() |
||
| 675 | child_space_cost[energy_category_id]['child_space_names'] = list() |
||
| 676 | child_space_cost[energy_category_id]['subtotals'] = list() |
||
| 677 | for child_space in child_space_list: |
||
| 678 | child_space_cost[energy_category_id]['child_space_names'].append(child_space['name']) |
||
| 679 | |||
| 680 | cursor_billing.execute(" SELECT SUM(actual_value) " |
||
| 681 | " FROM tbl_space_input_category_hourly " |
||
| 682 | " WHERE space_id = %s " |
||
| 683 | " AND energy_category_id = %s " |
||
| 684 | " AND start_datetime_utc >= %s " |
||
| 685 | " AND start_datetime_utc < %s " |
||
| 686 | " ORDER BY start_datetime_utc ", |
||
| 687 | (child_space['id'], |
||
| 688 | energy_category_id, |
||
| 689 | reporting_start_datetime_utc, |
||
| 690 | reporting_end_datetime_utc)) |
||
| 691 | row_subtotal = cursor_billing.fetchone() |
||
| 692 | |||
| 693 | subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0] |
||
| 694 | child_space_cost[energy_category_id]['subtotals'].append(subtotal) |
||
| 695 | |||
| 696 | ################################################################################################################ |
||
| 697 | # Step 15: construct the report |
||
| 698 | ################################################################################################################ |
||
| 699 | if cursor_system: |
||
| 700 | cursor_system.close() |
||
| 701 | if cnx_system: |
||
| 702 | cnx_system.disconnect() |
||
| 703 | |||
| 704 | if cursor_energy: |
||
| 705 | cursor_energy.close() |
||
| 706 | if cnx_energy: |
||
| 707 | cnx_energy.disconnect() |
||
| 708 | |||
| 709 | if cursor_billing: |
||
| 710 | cursor_billing.close() |
||
| 711 | if cnx_billing: |
||
| 712 | cnx_billing.disconnect() |
||
| 713 | |||
| 714 | if cursor_historical: |
||
| 715 | cursor_historical.close() |
||
| 716 | if cnx_historical: |
||
| 717 | cnx_historical.disconnect() |
||
| 718 | |||
| 719 | result = dict() |
||
| 720 | |||
| 721 | result['space'] = dict() |
||
| 722 | result['space']['name'] = space['name'] |
||
| 723 | result['space']['area'] = space['area'] |
||
| 724 | |||
| 725 | result['base_period_input'] = dict() |
||
| 726 | result['base_period_input']['names'] = list() |
||
| 727 | result['base_period_input']['units'] = list() |
||
| 728 | result['base_period_input']['timestamps'] = list() |
||
| 729 | result['base_period_input']['values'] = list() |
||
| 730 | result['base_period_input']['subtotals'] = list() |
||
| 731 | result['base_period_input']['subtotals_in_kgce'] = list() |
||
| 732 | result['base_period_input']['subtotals_in_kgco2e'] = list() |
||
| 733 | result['base_period_input']['total_in_kgce'] = Decimal(0.0) |
||
| 734 | result['base_period_input']['total_in_kgco2e'] = Decimal(0.0) |
||
| 735 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 736 | for energy_category_id in energy_category_set: |
||
| 737 | result['base_period_input']['names'].append( |
||
| 738 | energy_category_dict[energy_category_id]['name']) |
||
| 739 | result['base_period_input']['units'].append( |
||
| 740 | energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 741 | result['base_period_input']['timestamps'].append( |
||
| 742 | base_input[energy_category_id]['timestamps']) |
||
| 743 | result['base_period_input']['values'].append( |
||
| 744 | base_input[energy_category_id]['values']) |
||
| 745 | result['base_period_input']['subtotals'].append( |
||
| 746 | base_input[energy_category_id]['subtotal']) |
||
| 747 | result['base_period_input']['subtotals_in_kgce'].append( |
||
| 748 | base_input[energy_category_id]['subtotal_in_kgce']) |
||
| 749 | result['base_period_input']['subtotals_in_kgco2e'].append( |
||
| 750 | base_input[energy_category_id]['subtotal_in_kgco2e']) |
||
| 751 | result['base_period_input']['total_in_kgce'] += \ |
||
| 752 | base_input[energy_category_id]['subtotal_in_kgce'] |
||
| 753 | result['base_period_input']['total_in_kgco2e'] += \ |
||
| 754 | base_input[energy_category_id]['subtotal_in_kgco2e'] |
||
| 755 | |||
| 756 | result['base_period_cost'] = dict() |
||
| 757 | result['base_period_cost']['names'] = list() |
||
| 758 | result['base_period_cost']['units'] = list() |
||
| 759 | result['base_period_cost']['timestamps'] = list() |
||
| 760 | result['base_period_cost']['values'] = list() |
||
| 761 | result['base_period_cost']['subtotals'] = list() |
||
| 762 | result['base_period_cost']['total'] = Decimal(0.0) |
||
| 763 | View Code Duplication | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 764 | for energy_category_id in energy_category_set: |
||
| 765 | result['base_period_cost']['names'].append( |
||
| 766 | energy_category_dict[energy_category_id]['name']) |
||
| 767 | result['base_period_cost']['units'].append( |
||
| 768 | energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 769 | result['base_period_cost']['timestamps'].append( |
||
| 770 | base_cost[energy_category_id]['timestamps']) |
||
| 771 | result['base_period_cost']['values'].append( |
||
| 772 | base_cost[energy_category_id]['values']) |
||
| 773 | result['base_period_cost']['subtotals'].append( |
||
| 774 | base_cost[energy_category_id]['subtotal']) |
||
| 775 | result['base_period_cost']['total'] += base_cost[energy_category_id]['subtotal'] |
||
| 776 | |||
| 777 | result['reporting_period_input'] = dict() |
||
| 778 | result['reporting_period_input']['names'] = list() |
||
| 779 | result['reporting_period_input']['energy_category_ids'] = list() |
||
| 780 | result['reporting_period_input']['units'] = list() |
||
| 781 | result['reporting_period_input']['timestamps'] = list() |
||
| 782 | result['reporting_period_input']['values'] = list() |
||
| 783 | result['reporting_period_input']['subtotals'] = list() |
||
| 784 | result['reporting_period_input']['subtotals_in_kgce'] = list() |
||
| 785 | result['reporting_period_input']['subtotals_in_kgco2e'] = list() |
||
| 786 | result['reporting_period_input']['subtotals_per_unit_area'] = list() |
||
| 787 | result['reporting_period_input']['toppeaks'] = list() |
||
| 788 | result['reporting_period_input']['onpeaks'] = list() |
||
| 789 | result['reporting_period_input']['midpeaks'] = list() |
||
| 790 | result['reporting_period_input']['offpeaks'] = list() |
||
| 791 | result['reporting_period_input']['increment_rates'] = list() |
||
| 792 | result['reporting_period_input']['total_in_kgce'] = Decimal(0.0) |
||
| 793 | result['reporting_period_input']['total_in_kgco2e'] = Decimal(0.0) |
||
| 794 | result['reporting_period_input']['increment_rate_in_kgce'] = Decimal(0.0) |
||
| 795 | result['reporting_period_input']['increment_rate_in_kgco2e'] = Decimal(0.0) |
||
| 796 | |||
| 797 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 798 | for energy_category_id in energy_category_set: |
||
| 799 | result['reporting_period_input']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 800 | result['reporting_period_input']['energy_category_ids'].append(energy_category_id) |
||
| 801 | result['reporting_period_input']['units'].append( |
||
| 802 | energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 803 | result['reporting_period_input']['timestamps'].append( |
||
| 804 | reporting_input[energy_category_id]['timestamps']) |
||
| 805 | result['reporting_period_input']['values'].append( |
||
| 806 | reporting_input[energy_category_id]['values']) |
||
| 807 | result['reporting_period_input']['subtotals'].append( |
||
| 808 | reporting_input[energy_category_id]['subtotal']) |
||
| 809 | result['reporting_period_input']['subtotals_in_kgce'].append( |
||
| 810 | reporting_input[energy_category_id]['subtotal_in_kgce']) |
||
| 811 | result['reporting_period_input']['subtotals_in_kgco2e'].append( |
||
| 812 | reporting_input[energy_category_id]['subtotal_in_kgco2e']) |
||
| 813 | result['reporting_period_input']['subtotals_per_unit_area'].append( |
||
| 814 | reporting_input[energy_category_id]['subtotal'] / space['area'] |
||
| 815 | if space['area'] > 0.0 else None) |
||
| 816 | result['reporting_period_input']['toppeaks'].append( |
||
| 817 | reporting_input[energy_category_id]['toppeak']) |
||
| 818 | result['reporting_period_input']['onpeaks'].append( |
||
| 819 | reporting_input[energy_category_id]['onpeak']) |
||
| 820 | result['reporting_period_input']['midpeaks'].append( |
||
| 821 | reporting_input[energy_category_id]['midpeak']) |
||
| 822 | result['reporting_period_input']['offpeaks'].append( |
||
| 823 | reporting_input[energy_category_id]['offpeak']) |
||
| 824 | result['reporting_period_input']['increment_rates'].append( |
||
| 825 | (reporting_input[energy_category_id]['subtotal'] - |
||
| 826 | base_input[energy_category_id]['subtotal']) / |
||
| 827 | base_input[energy_category_id]['subtotal'] |
||
| 828 | if base_input[energy_category_id]['subtotal'] > 0.0 else None) |
||
| 829 | result['reporting_period_input']['total_in_kgce'] += \ |
||
| 830 | reporting_input[energy_category_id]['subtotal_in_kgce'] |
||
| 831 | result['reporting_period_input']['total_in_kgco2e'] += \ |
||
| 832 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] |
||
| 833 | |||
| 834 | result['reporting_period_input']['total_in_kgco2e_per_unit_area'] = \ |
||
| 835 | result['reporting_period_input']['total_in_kgce'] / space['area'] if space['area'] > 0.0 else None |
||
| 836 | |||
| 837 | result['reporting_period_input']['increment_rate_in_kgce'] = \ |
||
| 838 | (result['reporting_period_input']['total_in_kgce'] - result['base_period_input']['total_in_kgce']) / \ |
||
| 839 | result['base_period_input']['total_in_kgce'] \ |
||
| 840 | if result['base_period_input']['total_in_kgce'] > Decimal(0.0) else None |
||
| 841 | |||
| 842 | result['reporting_period_input']['total_in_kgce_per_unit_area'] = \ |
||
| 843 | result['reporting_period_input']['total_in_kgco2e'] / space['area'] if space['area'] > 0.0 else None |
||
| 844 | |||
| 845 | result['reporting_period_input']['increment_rate_in_kgco2e'] = \ |
||
| 846 | (result['reporting_period_input']['total_in_kgco2e'] - result['base_period_input']['total_in_kgco2e']) / \ |
||
| 847 | result['base_period_input']['total_in_kgco2e'] \ |
||
| 848 | if result['base_period_input']['total_in_kgco2e'] > Decimal(0.0) else None |
||
| 849 | |||
| 850 | result['reporting_period_cost'] = dict() |
||
| 851 | result['reporting_period_cost']['names'] = list() |
||
| 852 | result['reporting_period_cost']['energy_category_ids'] = list() |
||
| 853 | result['reporting_period_cost']['units'] = list() |
||
| 854 | result['reporting_period_cost']['timestamps'] = list() |
||
| 855 | result['reporting_period_cost']['values'] = list() |
||
| 856 | result['reporting_period_cost']['subtotals'] = list() |
||
| 857 | result['reporting_period_cost']['subtotals_per_unit_area'] = list() |
||
| 858 | result['reporting_period_cost']['toppeaks'] = list() |
||
| 859 | result['reporting_period_cost']['onpeaks'] = list() |
||
| 860 | result['reporting_period_cost']['midpeaks'] = list() |
||
| 861 | result['reporting_period_cost']['offpeaks'] = list() |
||
| 862 | result['reporting_period_cost']['increment_rates'] = list() |
||
| 863 | result['reporting_period_cost']['total'] = Decimal(0.0) |
||
| 864 | result['reporting_period_cost']['total_per_unit_area'] = Decimal(0.0) |
||
| 865 | result['reporting_period_cost']['total_increment_rate'] = Decimal(0.0) |
||
| 866 | result['reporting_period_cost']['total_unit'] = config.currency_unit |
||
| 867 | |||
| 868 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 869 | for energy_category_id in energy_category_set: |
||
| 870 | result['reporting_period_cost']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 871 | result['reporting_period_cost']['energy_category_ids'].append(energy_category_id) |
||
| 872 | result['reporting_period_cost']['units'].append(config.currency_unit) |
||
| 873 | result['reporting_period_cost']['timestamps'].append( |
||
| 874 | reporting_cost[energy_category_id]['timestamps']) |
||
| 875 | result['reporting_period_cost']['values'].append( |
||
| 876 | reporting_cost[energy_category_id]['values']) |
||
| 877 | result['reporting_period_cost']['subtotals'].append( |
||
| 878 | reporting_cost[energy_category_id]['subtotal']) |
||
| 879 | result['reporting_period_cost']['subtotals_per_unit_area'].append( |
||
| 880 | reporting_cost[energy_category_id]['subtotal'] / space['area'] |
||
| 881 | if space['area'] > 0.0 else None) |
||
| 882 | result['reporting_period_cost']['toppeaks'].append( |
||
| 883 | reporting_cost[energy_category_id]['toppeak']) |
||
| 884 | result['reporting_period_cost']['onpeaks'].append( |
||
| 885 | reporting_cost[energy_category_id]['onpeak']) |
||
| 886 | result['reporting_period_cost']['midpeaks'].append( |
||
| 887 | reporting_cost[energy_category_id]['midpeak']) |
||
| 888 | result['reporting_period_cost']['offpeaks'].append( |
||
| 889 | reporting_cost[energy_category_id]['offpeak']) |
||
| 890 | result['reporting_period_cost']['increment_rates'].append( |
||
| 891 | (reporting_cost[energy_category_id]['subtotal'] - |
||
| 892 | base_cost[energy_category_id]['subtotal']) / |
||
| 893 | base_cost[energy_category_id]['subtotal'] |
||
| 894 | if base_cost[energy_category_id]['subtotal'] > 0.0 else None) |
||
| 895 | result['reporting_period_cost']['total'] += reporting_cost[energy_category_id]['subtotal'] |
||
| 896 | result['reporting_period_cost']['total_per_unit_area'] = \ |
||
| 897 | result['reporting_period_cost']['total'] / space['area'] if space['area'] > 0.0 else None |
||
| 898 | |||
| 899 | result['reporting_period_cost']['total_increment_rate'] = \ |
||
| 900 | (result['reporting_period_cost']['total'] - result['base_period_cost']['total']) / \ |
||
| 901 | result['reporting_period_cost']['total'] \ |
||
| 902 | if result['reporting_period_cost']['total'] > Decimal(0.0) else None |
||
| 903 | |||
| 904 | result['parameters'] = { |
||
| 905 | "names": parameters_data['names'], |
||
| 906 | "timestamps": parameters_data['timestamps'], |
||
| 907 | "values": parameters_data['values'] |
||
| 908 | } |
||
| 909 | |||
| 910 | result['child_space_input'] = dict() |
||
| 911 | result['child_space_input']['energy_category_names'] = list() # 1D array [energy category] |
||
| 912 | result['child_space_input']['units'] = list() # 1D array [energy category] |
||
| 913 | result['child_space_input']['child_space_names_array'] = list() # 2D array [energy category][child space] |
||
| 914 | result['child_space_input']['subtotals_array'] = list() # 2D array [energy category][child space] |
||
| 915 | result['child_space_input']['subtotals_in_kgce_array'] = list() # 2D array [energy category][child space] |
||
| 916 | result['child_space_input']['subtotals_in_kgco2e_array'] = list() # 2D array [energy category][child space] |
||
| 917 | View Code Duplication | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 918 | for energy_category_id in energy_category_set: |
||
| 919 | result['child_space_input']['energy_category_names'].append( |
||
| 920 | energy_category_dict[energy_category_id]['name']) |
||
| 921 | result['child_space_input']['units'].append( |
||
| 922 | energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 923 | result['child_space_input']['child_space_names_array'].append( |
||
| 924 | child_space_input[energy_category_id]['child_space_names']) |
||
| 925 | result['child_space_input']['subtotals_array'].append( |
||
| 926 | child_space_input[energy_category_id]['subtotals']) |
||
| 927 | result['child_space_input']['subtotals_in_kgce_array'].append( |
||
| 928 | child_space_input[energy_category_id]['subtotals_in_kgce']) |
||
| 929 | result['child_space_input']['subtotals_in_kgco2e_array'].append( |
||
| 930 | child_space_input[energy_category_id]['subtotals_in_kgco2e']) |
||
| 931 | |||
| 932 | result['child_space_cost'] = dict() |
||
| 933 | result['child_space_cost']['energy_category_names'] = list() # 1D array [energy category] |
||
| 934 | result['child_space_cost']['units'] = list() # 1D array [energy category] |
||
| 935 | result['child_space_cost']['child_space_names_array'] = list() # 2D array [energy category][child space] |
||
| 936 | result['child_space_cost']['subtotals_array'] = list() # 2D array [energy category][child space] |
||
| 937 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 938 | for energy_category_id in energy_category_set: |
||
| 939 | result['child_space_cost']['energy_category_names'].append( |
||
| 940 | energy_category_dict[energy_category_id]['name']) |
||
| 941 | result['child_space_cost']['units'].append(config.currency_unit) |
||
| 942 | result['child_space_cost']['child_space_names_array'].append( |
||
| 943 | child_space_cost[energy_category_id]['child_space_names']) |
||
| 944 | result['child_space_cost']['subtotals_array'].append( |
||
| 945 | child_space_cost[energy_category_id]['subtotals']) |
||
| 946 | |||
| 947 | resp.body = json.dumps(result) |
||
| 948 |
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