myems /
myems-api
| Conditions | 113 |
| Total Lines | 554 |
| Code Lines | 403 |
| Lines | 24 |
| Ratio | 4.33 % |
| 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.spaceenergyitem.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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| 34 | @staticmethod |
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| 35 | def on_get(req, resp): |
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| 36 | print(req.params) |
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| 37 | space_id = req.params.get('spaceid') |
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| 38 | period_type = req.params.get('periodtype') |
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| 39 | base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 40 | base_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 41 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 42 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 43 | |||
| 44 | ################################################################################################################ |
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| 45 | # Step 1: valid parameters |
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| 46 | ################################################################################################################ |
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| 47 | if space_id is None: |
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| 48 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') |
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| 49 | else: |
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| 50 | space_id = str.strip(space_id) |
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| 51 | if not space_id.isdigit() or int(space_id) <= 0: |
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| 52 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') |
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| 53 | |||
| 54 | if period_type is None: |
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| 55 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 56 | else: |
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| 57 | period_type = str.strip(period_type) |
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| 58 | if period_type not in ['hourly', 'daily', 'monthly', 'yearly']: |
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| 59 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 60 | |||
| 61 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 62 | if config.utc_offset[0] == '-': |
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| 63 | timezone_offset = -timezone_offset |
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| 64 | |||
| 65 | base_start_datetime_utc = None |
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| 66 | if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
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| 67 | base_start_datetime_local = str.strip(base_start_datetime_local) |
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| 68 | try: |
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| 69 | base_start_datetime_utc = datetime.strptime(base_start_datetime_local, |
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| 70 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 71 | timedelta(minutes=timezone_offset) |
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| 72 | except ValueError: |
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| 73 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 74 | description="API.INVALID_BASE_PERIOD_BEGINS_DATETIME") |
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| 75 | |||
| 76 | base_end_datetime_utc = None |
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| 77 | if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
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| 78 | base_end_datetime_local = str.strip(base_end_datetime_local) |
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| 79 | try: |
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| 80 | base_end_datetime_utc = datetime.strptime(base_end_datetime_local, |
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| 81 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 82 | timedelta(minutes=timezone_offset) |
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| 83 | except ValueError: |
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| 84 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 85 | description="API.INVALID_BASE_PERIOD_ENDS_DATETIME") |
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| 86 | |||
| 87 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 88 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 89 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 90 | description='API.INVALID_BASE_PERIOD_ENDS_DATETIME') |
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| 91 | |||
| 92 | if reporting_start_datetime_local is None: |
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| 93 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 94 | description="API.INVALID_REPORTING_PERIOD_BEGINS_DATETIME") |
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| 95 | else: |
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| 96 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
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| 97 | try: |
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| 98 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
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| 99 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 100 | timedelta(minutes=timezone_offset) |
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| 101 | except ValueError: |
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| 102 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 103 | description="API.INVALID_REPORTING_PERIOD_BEGINS_DATETIME") |
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| 104 | |||
| 105 | if reporting_end_datetime_local is None: |
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| 106 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 107 | description="API.INVALID_REPORTING_PERIOD_ENDS_DATETIME") |
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| 108 | else: |
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| 109 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
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| 110 | try: |
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| 111 | reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, |
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| 112 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 113 | timedelta(minutes=timezone_offset) |
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| 114 | except ValueError: |
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| 115 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 116 | description="API.INVALID_REPORTING_PERIOD_ENDS_DATETIME") |
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| 117 | |||
| 118 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 119 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 120 | description='API.INVALID_REPORTING_PERIOD_ENDS_DATETIME') |
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| 121 | |||
| 122 | ################################################################################################################ |
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| 123 | # Step 2: query the space |
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| 124 | ################################################################################################################ |
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| 125 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 126 | cursor_system = cnx_system.cursor() |
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| 127 | |||
| 128 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 129 | cursor_energy = cnx_energy.cursor() |
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| 130 | |||
| 131 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 132 | cursor_historical = cnx_historical.cursor() |
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| 133 | |||
| 134 | cursor_system.execute(" SELECT id, name, area, cost_center_id " |
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| 135 | " FROM tbl_spaces " |
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| 136 | " WHERE id = %s ", (space_id,)) |
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| 137 | row_space = cursor_system.fetchone() |
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| 138 | if row_space is None: |
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| 139 | if cursor_system: |
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| 140 | cursor_system.close() |
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| 141 | if cnx_system: |
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| 142 | cnx_system.disconnect() |
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| 143 | |||
| 144 | if cursor_energy: |
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| 145 | cursor_energy.close() |
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| 146 | if cnx_energy: |
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| 147 | cnx_energy.disconnect() |
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| 148 | |||
| 149 | if cnx_historical: |
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| 150 | cnx_historical.close() |
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| 151 | if cursor_historical: |
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| 152 | cursor_historical.disconnect() |
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| 153 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.SPACE_NOT_FOUND') |
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| 154 | |||
| 155 | space = dict() |
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| 156 | space['id'] = row_space[0] |
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| 157 | space['name'] = row_space[1] |
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| 158 | space['area'] = row_space[2] |
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| 159 | space['cost_center_id'] = row_space[3] |
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| 160 | |||
| 161 | ################################################################################################################ |
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| 162 | # Step 3: query energy items |
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| 163 | ################################################################################################################ |
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| 164 | energy_item_set = set() |
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| 165 | # query energy items in base period |
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| 166 | cursor_energy.execute(" SELECT DISTINCT(energy_item_id) " |
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| 167 | " FROM tbl_space_input_item_hourly " |
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| 168 | " WHERE space_id = %s " |
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| 169 | " AND start_datetime_utc >= %s " |
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| 170 | " AND start_datetime_utc < %s ", |
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| 171 | (space['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 172 | rows_energy_items = cursor_energy.fetchall() |
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| 173 | if rows_energy_items is not None or len(rows_energy_items) > 0: |
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| 174 | for row_item in rows_energy_items: |
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| 175 | energy_item_set.add(row_item[0]) |
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| 176 | |||
| 177 | # query energy items in reporting period |
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| 178 | cursor_energy.execute(" SELECT DISTINCT(energy_item_id) " |
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| 179 | " FROM tbl_space_input_item_hourly " |
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| 180 | " WHERE space_id = %s " |
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| 181 | " AND start_datetime_utc >= %s " |
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| 182 | " AND start_datetime_utc < %s ", |
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| 183 | (space['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 184 | rows_energy_items = cursor_energy.fetchall() |
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| 185 | if rows_energy_items is not None or len(rows_energy_items) > 0: |
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| 186 | for row_item in rows_energy_items: |
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| 187 | energy_item_set.add(row_item[0]) |
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| 188 | |||
| 189 | # query all energy items in base period and reporting period |
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| 190 | cursor_system.execute(" SELECT ei.id, ei.name, ei.energy_category_id, " |
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| 191 | " ec.name AS energy_category_name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 192 | " FROM tbl_energy_items ei, tbl_energy_categories ec " |
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| 193 | " WHERE ei.energy_category_id = ec.id " |
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| 194 | " ORDER BY ei.id ", ) |
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| 195 | rows_energy_items = cursor_system.fetchall() |
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| 196 | if rows_energy_items is None or len(rows_energy_items) == 0: |
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| 197 | if cursor_system: |
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| 198 | cursor_system.close() |
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| 199 | if cnx_system: |
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| 200 | cnx_system.disconnect() |
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| 201 | |||
| 202 | if cursor_energy: |
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| 203 | cursor_energy.close() |
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| 204 | if cnx_energy: |
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| 205 | cnx_energy.disconnect() |
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| 206 | |||
| 207 | if cnx_historical: |
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| 208 | cnx_historical.close() |
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| 209 | if cursor_historical: |
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| 210 | cursor_historical.disconnect() |
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| 211 | raise falcon.HTTPError(falcon.HTTP_404, |
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| 212 | title='API.NOT_FOUND', |
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| 213 | description='API.ENERGY_ITEM_NOT_FOUND') |
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| 214 | energy_item_dict = dict() |
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| 215 | for row_energy_item in rows_energy_items: |
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| 216 | if row_energy_item[0] in energy_item_set: |
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| 217 | energy_item_dict[row_energy_item[0]] = {"name": row_energy_item[1], |
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| 218 | "energy_category_id": row_energy_item[2], |
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| 219 | "energy_category_name": row_energy_item[3], |
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| 220 | "unit_of_measure": row_energy_item[4], |
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| 221 | "kgce": row_energy_item[5], |
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| 222 | "kgco2e": row_energy_item[6]} |
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| 223 | |||
| 224 | ################################################################################################################ |
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| 225 | # Step 4: query associated sensors |
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| 226 | ################################################################################################################ |
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| 227 | point_list = list() |
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| 228 | cursor_system.execute(" SELECT po.id, po.name, po.units, po.object_type " |
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| 229 | " FROM tbl_spaces sp, tbl_sensors se, tbl_spaces_sensors spse, " |
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| 230 | " tbl_points po, tbl_sensors_points sepo " |
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| 231 | " WHERE sp.id = %s AND sp.id = spse.space_id AND spse.sensor_id = se.id " |
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| 232 | " AND se.id = sepo.sensor_id AND sepo.point_id = po.id " |
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| 233 | " ORDER BY po.id ", (space['id'], )) |
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| 234 | rows_points = cursor_system.fetchall() |
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| 235 | if rows_points is not None and len(rows_points) > 0: |
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| 236 | for row in rows_points: |
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| 237 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 238 | |||
| 239 | ################################################################################################################ |
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| 240 | # Step 5: query associated points |
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| 241 | ################################################################################################################ |
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| 242 | cursor_system.execute(" SELECT po.id, po.name, po.units, po.object_type " |
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| 243 | " FROM tbl_spaces sp, tbl_spaces_points sppo, tbl_points po " |
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| 244 | " WHERE sp.id = %s AND sp.id = sppo.space_id AND sppo.point_id = po.id " |
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| 245 | " ORDER BY po.id ", (space['id'], )) |
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| 246 | rows_points = cursor_system.fetchall() |
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| 247 | if rows_points is not None and len(rows_points) > 0: |
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| 248 | for row in rows_points: |
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| 249 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 250 | |||
| 251 | ################################################################################################################ |
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| 252 | # Step 6: query child spaces |
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| 253 | ################################################################################################################ |
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| 254 | child_space_list = list() |
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| 255 | cursor_system.execute(" SELECT id, name " |
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| 256 | " FROM tbl_spaces " |
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| 257 | " WHERE parent_space_id = %s " |
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| 258 | " ORDER BY id ", (space['id'], )) |
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| 259 | rows_child_spaces = cursor_system.fetchall() |
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| 260 | if rows_child_spaces is not None and len(rows_child_spaces) > 0: |
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| 261 | for row in rows_child_spaces: |
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| 262 | child_space_list.append({"id": row[0], "name": row[1]}) |
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| 263 | |||
| 264 | ################################################################################################################ |
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| 265 | # Step 7: query base period energy input |
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| 266 | ################################################################################################################ |
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| 267 | base = dict() |
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| 268 | if energy_item_set is not None and len(energy_item_set) > 0: |
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| 269 | for energy_item_id in energy_item_set: |
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| 270 | base[energy_item_id] = dict() |
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| 271 | base[energy_item_id]['timestamps'] = list() |
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| 272 | base[energy_item_id]['values'] = list() |
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| 273 | base[energy_item_id]['subtotal'] = Decimal(0.0) |
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| 274 | |||
| 275 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 276 | " FROM tbl_space_input_item_hourly " |
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| 277 | " WHERE space_id = %s " |
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| 278 | " AND energy_item_id = %s " |
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| 279 | " AND start_datetime_utc >= %s " |
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| 280 | " AND start_datetime_utc < %s " |
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| 281 | " ORDER BY start_datetime_utc ", |
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| 282 | (space['id'], |
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| 283 | energy_item_id, |
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| 284 | base_start_datetime_utc, |
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| 285 | base_end_datetime_utc)) |
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| 286 | rows_space_hourly = cursor_energy.fetchall() |
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| 287 | |||
| 288 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
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| 289 | base_start_datetime_utc, |
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| 290 | base_end_datetime_utc, |
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| 291 | period_type) |
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| 292 | for row_space_periodically in rows_space_periodically: |
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| 293 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 294 | timedelta(minutes=timezone_offset) |
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| 295 | if period_type == 'hourly': |
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| 296 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 297 | elif period_type == 'daily': |
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| 298 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 299 | elif period_type == 'monthly': |
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| 300 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 301 | elif period_type == 'yearly': |
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| 302 | current_datetime = current_datetime_local.strftime('%Y') |
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| 303 | |||
| 304 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
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| 305 | base[energy_item_id]['timestamps'].append(current_datetime) |
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|
introduced
by
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| 306 | base[energy_item_id]['values'].append(actual_value) |
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| 307 | base[energy_item_id]['subtotal'] += actual_value |
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| 308 | |||
| 309 | ################################################################################################################ |
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| 310 | # Step 8: query reporting period energy input |
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| 311 | ################################################################################################################ |
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| 312 | reporting = dict() |
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| 313 | if energy_item_set is not None and len(energy_item_set) > 0: |
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| 314 | for energy_item_id in energy_item_set: |
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| 315 | reporting[energy_item_id] = dict() |
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| 316 | reporting[energy_item_id]['timestamps'] = list() |
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| 317 | reporting[energy_item_id]['values'] = list() |
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| 318 | reporting[energy_item_id]['subtotal'] = Decimal(0.0) |
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| 319 | reporting[energy_item_id]['toppeak'] = Decimal(0.0) |
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| 320 | reporting[energy_item_id]['onpeak'] = Decimal(0.0) |
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| 321 | reporting[energy_item_id]['midpeak'] = Decimal(0.0) |
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| 322 | reporting[energy_item_id]['offpeak'] = Decimal(0.0) |
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| 323 | |||
| 324 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 325 | " FROM tbl_space_input_item_hourly " |
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| 326 | " WHERE space_id = %s " |
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| 327 | " AND energy_item_id = %s " |
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| 328 | " AND start_datetime_utc >= %s " |
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| 329 | " AND start_datetime_utc < %s " |
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| 330 | " ORDER BY start_datetime_utc ", |
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| 331 | (space['id'], |
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| 332 | energy_item_id, |
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| 333 | reporting_start_datetime_utc, |
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| 334 | reporting_end_datetime_utc)) |
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| 335 | rows_space_hourly = cursor_energy.fetchall() |
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| 336 | |||
| 337 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
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| 338 | reporting_start_datetime_utc, |
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| 339 | reporting_end_datetime_utc, |
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| 340 | period_type) |
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| 341 | for row_space_periodically in rows_space_periodically: |
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| 342 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 343 | timedelta(minutes=timezone_offset) |
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| 344 | if period_type == 'hourly': |
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| 345 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 346 | elif period_type == 'daily': |
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| 347 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 348 | elif period_type == 'monthly': |
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| 349 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 350 | elif period_type == 'yearly': |
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| 351 | current_datetime = current_datetime_local.strftime('%Y') |
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| 352 | |||
| 353 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
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| 354 | reporting[energy_item_id]['timestamps'].append(current_datetime) |
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| 355 | reporting[energy_item_id]['values'].append(actual_value) |
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| 356 | reporting[energy_item_id]['subtotal'] += actual_value |
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| 357 | |||
| 358 | energy_category_tariff_dict = \ |
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| 359 | utilities.get_energy_category_peak_types(space['cost_center_id'], |
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| 360 | energy_item_dict[energy_item_id]['energy_category_id'], |
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| 361 | reporting_start_datetime_utc, |
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| 362 | reporting_end_datetime_utc) |
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| 363 | for row in rows_space_hourly: |
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| 364 | peak_type = energy_category_tariff_dict.get(row[0], None) |
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| 365 | if peak_type == 'toppeak': |
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| 366 | reporting[energy_item_id]['toppeak'] += row[1] |
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| 367 | elif peak_type == 'onpeak': |
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| 368 | reporting[energy_item_id]['onpeak'] += row[1] |
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| 369 | elif peak_type == 'midpeak': |
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| 370 | reporting[energy_item_id]['midpeak'] += row[1] |
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| 371 | elif peak_type == 'offpeak': |
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| 372 | reporting[energy_item_id]['offpeak'] += row[1] |
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| 373 | |||
| 374 | ################################################################################################################ |
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| 375 | # Step 9: query tariff data |
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| 376 | ################################################################################################################ |
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| 377 | parameters_data = dict() |
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| 378 | parameters_data['names'] = list() |
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| 379 | parameters_data['timestamps'] = list() |
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| 380 | parameters_data['values'] = list() |
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| 381 | if energy_item_set is not None and len(energy_item_set) > 0: |
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| 382 | for energy_item_id in energy_item_set: |
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| 383 | energy_category_tariff_dict = \ |
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| 384 | utilities.get_energy_category_tariffs(space['cost_center_id'], |
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| 385 | energy_item_dict[energy_item_id]['energy_category_id'], |
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| 386 | reporting_start_datetime_utc, |
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| 387 | reporting_end_datetime_utc) |
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| 388 | tariff_timestamp_list = list() |
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| 389 | tariff_value_list = list() |
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| 390 | for k, v in energy_category_tariff_dict.items(): |
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| 391 | # convert k from utc to local |
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| 392 | k = k + timedelta(minutes=timezone_offset) |
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| 393 | tariff_timestamp_list.append(k.isoformat()[0:19][0:19]) |
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| 394 | tariff_value_list.append(v) |
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| 395 | |||
| 396 | parameters_data['names'].append('TARIFF-' + energy_item_dict[energy_item_id]['name']) |
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| 397 | parameters_data['timestamps'].append(tariff_timestamp_list) |
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| 398 | parameters_data['values'].append(tariff_value_list) |
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| 399 | |||
| 400 | ################################################################################################################ |
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| 401 | # Step 10: query associated sensors and points data |
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| 402 | ################################################################################################################ |
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| 403 | for point in point_list: |
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| 404 | point_values = [] |
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| 405 | point_timestamps = [] |
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| 406 | if point['object_type'] == 'ANALOG_VALUE': |
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| 407 | query = (" SELECT utc_date_time, actual_value " |
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| 408 | " FROM tbl_analog_value " |
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| 409 | " WHERE point_id = %s " |
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| 410 | " AND utc_date_time BETWEEN %s AND %s " |
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| 411 | " ORDER BY utc_date_time ") |
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| 412 | cursor_historical.execute(query, (point['id'], |
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| 413 | reporting_start_datetime_utc, |
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| 414 | reporting_end_datetime_utc)) |
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| 415 | rows = cursor_historical.fetchall() |
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| 416 | |||
| 417 | if rows is not None and len(rows) > 0: |
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| 418 | for row in rows: |
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| 419 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 420 | timedelta(minutes=timezone_offset) |
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| 421 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 422 | point_timestamps.append(current_datetime) |
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| 423 | point_values.append(row[1]) |
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| 424 | |||
| 425 | elif point['object_type'] == 'ENERGY_VALUE': |
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| 426 | query = (" SELECT utc_date_time, actual_value " |
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| 427 | " FROM tbl_energy_value " |
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| 428 | " WHERE point_id = %s " |
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| 429 | " AND utc_date_time BETWEEN %s AND %s " |
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| 430 | " ORDER BY utc_date_time ") |
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| 431 | cursor_historical.execute(query, (point['id'], |
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| 432 | reporting_start_datetime_utc, |
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| 433 | reporting_end_datetime_utc)) |
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| 434 | rows = cursor_historical.fetchall() |
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| 435 | |||
| 436 | if rows is not None and len(rows) > 0: |
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| 437 | for row in rows: |
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| 438 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 439 | timedelta(minutes=timezone_offset) |
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| 440 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 441 | point_timestamps.append(current_datetime) |
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| 442 | point_values.append(row[1]) |
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| 443 | elif point['object_type'] == 'DIGITAL_VALUE': |
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| 444 | query = (" SELECT utc_date_time, actual_value " |
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| 445 | " FROM tbl_digital_value " |
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| 446 | " WHERE point_id = %s " |
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| 447 | " AND utc_date_time BETWEEN %s AND %s ") |
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| 448 | cursor_historical.execute(query, (point['id'], |
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| 449 | reporting_start_datetime_utc, |
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| 450 | reporting_end_datetime_utc)) |
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| 451 | rows = cursor_historical.fetchall() |
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| 452 | |||
| 453 | if rows is not None and len(rows) > 0: |
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| 454 | for row in rows: |
||
| 455 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 456 | timedelta(minutes=timezone_offset) |
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| 457 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 458 | point_timestamps.append(current_datetime) |
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| 459 | point_values.append(row[1]) |
||
| 460 | |||
| 461 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
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| 462 | parameters_data['timestamps'].append(point_timestamps) |
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| 463 | parameters_data['values'].append(point_values) |
||
| 464 | |||
| 465 | ################################################################################################################ |
||
| 466 | # Step 11: query child spaces energy input |
||
| 467 | ################################################################################################################ |
||
| 468 | child_space_data = dict() |
||
| 469 | |||
| 470 | View Code Duplication | if energy_item_set is not None and len(energy_item_set) > 0: |
|
| 471 | for energy_item_id in energy_item_set: |
||
| 472 | child_space_data[energy_item_id] = dict() |
||
| 473 | child_space_data[energy_item_id]['child_space_names'] = list() |
||
| 474 | child_space_data[energy_item_id]['subtotals'] = list() |
||
| 475 | |||
| 476 | for child_space in child_space_list: |
||
| 477 | child_space_data[energy_item_id]['child_space_names'].append(child_space['name']) |
||
| 478 | |||
| 479 | cursor_energy.execute(" SELECT SUM(actual_value) " |
||
| 480 | " FROM tbl_space_input_item_hourly " |
||
| 481 | " WHERE space_id = %s " |
||
| 482 | " AND energy_item_id = %s " |
||
| 483 | " AND start_datetime_utc >= %s " |
||
| 484 | " AND start_datetime_utc < %s " |
||
| 485 | " ORDER BY start_datetime_utc ", |
||
| 486 | (child_space['id'], |
||
| 487 | energy_item_id, |
||
| 488 | reporting_start_datetime_utc, |
||
| 489 | reporting_end_datetime_utc)) |
||
| 490 | row_subtotal = cursor_energy.fetchone() |
||
| 491 | |||
| 492 | subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0] |
||
| 493 | child_space_data[energy_item_id]['subtotals'].append(subtotal) |
||
| 494 | |||
| 495 | ################################################################################################################ |
||
| 496 | # Step 12: construct the report |
||
| 497 | ################################################################################################################ |
||
| 498 | if cursor_system: |
||
| 499 | cursor_system.close() |
||
| 500 | if cnx_system: |
||
| 501 | cnx_system.disconnect() |
||
| 502 | |||
| 503 | if cursor_energy: |
||
| 504 | cursor_energy.close() |
||
| 505 | if cnx_energy: |
||
| 506 | cnx_energy.disconnect() |
||
| 507 | |||
| 508 | result = dict() |
||
| 509 | |||
| 510 | result['space'] = dict() |
||
| 511 | result['space']['name'] = space['name'] |
||
| 512 | result['space']['area'] = space['area'] |
||
| 513 | |||
| 514 | result['base_period'] = dict() |
||
| 515 | result['base_period']['names'] = list() |
||
| 516 | result['base_period']['units'] = list() |
||
| 517 | result['base_period']['timestamps'] = list() |
||
| 518 | result['base_period']['values'] = list() |
||
| 519 | result['base_period']['subtotals'] = list() |
||
| 520 | if energy_item_set is not None and len(energy_item_set) > 0: |
||
| 521 | for energy_item_id in energy_item_set: |
||
| 522 | result['base_period']['names'].append(energy_item_dict[energy_item_id]['name']) |
||
| 523 | result['base_period']['units'].append(energy_item_dict[energy_item_id]['unit_of_measure']) |
||
| 524 | result['base_period']['timestamps'].append(base[energy_item_id]['timestamps']) |
||
| 525 | result['base_period']['values'].append(base[energy_item_id]['values']) |
||
| 526 | result['base_period']['subtotals'].append(base[energy_item_id]['subtotal']) |
||
| 527 | |||
| 528 | result['reporting_period'] = dict() |
||
| 529 | result['reporting_period']['names'] = list() |
||
| 530 | result['reporting_period']['energy_item_ids'] = list() |
||
| 531 | result['reporting_period']['energy_category_names'] = list() |
||
| 532 | result['reporting_period']['energy_category_ids'] = list() |
||
| 533 | result['reporting_period']['units'] = list() |
||
| 534 | result['reporting_period']['timestamps'] = list() |
||
| 535 | result['reporting_period']['values'] = list() |
||
| 536 | result['reporting_period']['subtotals'] = list() |
||
| 537 | result['reporting_period']['subtotals_per_unit_area'] = list() |
||
| 538 | result['reporting_period']['toppeaks'] = list() |
||
| 539 | result['reporting_period']['onpeaks'] = list() |
||
| 540 | result['reporting_period']['midpeaks'] = list() |
||
| 541 | result['reporting_period']['offpeaks'] = list() |
||
| 542 | result['reporting_period']['increment_rates'] = list() |
||
| 543 | |||
| 544 | if energy_item_set is not None and len(energy_item_set) > 0: |
||
| 545 | for energy_item_id in energy_item_set: |
||
| 546 | result['reporting_period']['names'].append(energy_item_dict[energy_item_id]['name']) |
||
| 547 | result['reporting_period']['energy_item_ids'].append(energy_item_id) |
||
| 548 | result['reporting_period']['energy_category_names'].append( |
||
| 549 | energy_item_dict[energy_item_id]['energy_category_name']) |
||
| 550 | result['reporting_period']['energy_category_ids'].append( |
||
| 551 | energy_item_dict[energy_item_id]['energy_category_id']) |
||
| 552 | result['reporting_period']['units'].append(energy_item_dict[energy_item_id]['unit_of_measure']) |
||
| 553 | result['reporting_period']['timestamps'].append(reporting[energy_item_id]['timestamps']) |
||
| 554 | result['reporting_period']['values'].append(reporting[energy_item_id]['values']) |
||
| 555 | result['reporting_period']['subtotals'].append(reporting[energy_item_id]['subtotal']) |
||
| 556 | result['reporting_period']['subtotals_per_unit_area'].append( |
||
| 557 | reporting[energy_item_id]['subtotal'] / space['area'] if space['area'] > 0.0 else None) |
||
| 558 | result['reporting_period']['toppeaks'].append(reporting[energy_item_id]['toppeak']) |
||
| 559 | result['reporting_period']['onpeaks'].append(reporting[energy_item_id]['onpeak']) |
||
| 560 | result['reporting_period']['midpeaks'].append(reporting[energy_item_id]['midpeak']) |
||
| 561 | result['reporting_period']['offpeaks'].append(reporting[energy_item_id]['offpeak']) |
||
| 562 | result['reporting_period']['increment_rates'].append( |
||
| 563 | (reporting[energy_item_id]['subtotal'] - base[energy_item_id]['subtotal']) / |
||
| 564 | base[energy_item_id]['subtotal'] |
||
| 565 | if base[energy_item_id]['subtotal'] > 0.0 else None) |
||
| 566 | |||
| 567 | result['parameters'] = { |
||
| 568 | "names": parameters_data['names'], |
||
| 569 | "timestamps": parameters_data['timestamps'], |
||
| 570 | "values": parameters_data['values'] |
||
| 571 | } |
||
| 572 | |||
| 573 | result['child_space'] = dict() |
||
| 574 | result['child_space']['energy_item_names'] = list() # 1D array [energy item] |
||
| 575 | result['child_space']['units'] = list() # 1D array [energy item] |
||
| 576 | result['child_space']['child_space_names_array'] = list() # 2D array [energy item][child space] |
||
| 577 | result['child_space']['subtotals_array'] = list() # 2D array [energy item][child space] |
||
| 578 | if energy_item_set is not None and len(energy_item_set) > 0: |
||
| 579 | for energy_item_id in energy_item_set: |
||
| 580 | result['child_space']['energy_item_names'].append(energy_item_dict[energy_item_id]['name']) |
||
| 581 | result['child_space']['units'].append(energy_item_dict[energy_item_id]['unit_of_measure']) |
||
| 582 | result['child_space']['child_space_names_array'].append( |
||
| 583 | child_space_data[energy_item_id]['child_space_names']) |
||
| 584 | result['child_space']['subtotals_array'].append( |
||
| 585 | child_space_data[energy_item_id]['subtotals']) |
||
| 586 | |||
| 587 | resp.body = json.dumps(result) |
||
| 588 |
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