| Conditions | 42 |
| Total Lines | 208 |
| Code Lines | 141 |
| Lines | 0 |
| Ratio | 0 % |
| 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.tenantbatch.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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| 28 | @staticmethod |
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| 29 | def on_get(req, resp): |
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| 30 | print(req.params) |
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| 31 | space_id = req.params.get('spaceid') |
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| 32 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 33 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 34 | |||
| 35 | ################################################################################################################ |
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| 36 | # Step 1: valid parameters |
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| 37 | ################################################################################################################ |
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| 38 | if space_id is None: |
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| 39 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') |
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| 40 | else: |
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| 41 | space_id = str.strip(space_id) |
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| 42 | if not space_id.isdigit() or int(space_id) <= 0: |
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| 43 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') |
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| 44 | else: |
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| 45 | space_id = int(space_id) |
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| 46 | |||
| 47 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 48 | if config.utc_offset[0] == '-': |
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| 49 | timezone_offset = -timezone_offset |
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| 50 | |||
| 51 | if reporting_period_start_datetime_local is None: |
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| 52 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 53 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 54 | else: |
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| 55 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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| 56 | try: |
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| 57 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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| 58 | '%Y-%m-%dT%H:%M:%S') |
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| 59 | except ValueError: |
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| 60 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 61 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 62 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 63 | timedelta(minutes=timezone_offset) |
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| 64 | |||
| 65 | if reporting_period_end_datetime_local is None: |
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| 66 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 67 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 68 | else: |
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| 69 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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| 70 | try: |
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| 71 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
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| 72 | '%Y-%m-%dT%H:%M:%S') |
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| 73 | except ValueError: |
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| 74 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 75 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 76 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 77 | timedelta(minutes=timezone_offset) |
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| 78 | |||
| 79 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 80 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 81 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 82 | |||
| 83 | if reporting_start_datetime_utc + timedelta(minutes=15) >= reporting_end_datetime_utc: |
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| 84 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 85 | description='API.THE_REPORTING_PERIOD_MUST_BE_LONGER_THAN_15_MINUTES') |
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| 86 | |||
| 87 | cnx_system_db = mysql.connector.connect(**config.myems_system_db) |
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| 88 | cursor_system_db = cnx_system_db.cursor(dictionary=True) |
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| 89 | |||
| 90 | cursor_system_db.execute(" SELECT name " |
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| 91 | " FROM tbl_spaces " |
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| 92 | " WHERE id = %s ", (space_id,)) |
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| 93 | row = cursor_system_db.fetchone() |
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| 94 | |||
| 95 | if row is None: |
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| 96 | if cursor_system_db: |
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| 97 | cursor_system_db.close() |
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| 98 | if cnx_system_db: |
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| 99 | cnx_system_db.disconnect() |
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| 100 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', |
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| 101 | description='API.SPACE_NOT_FOUND') |
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| 102 | |||
| 103 | ################################################################################################################ |
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| 104 | # Step 2: build a space tree |
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| 105 | ################################################################################################################ |
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| 106 | |||
| 107 | query = (" SELECT id, name, parent_space_id " |
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| 108 | " FROM tbl_spaces " |
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| 109 | " ORDER BY id ") |
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| 110 | cursor_system_db.execute(query) |
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| 111 | rows_spaces = cursor_system_db.fetchall() |
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| 112 | node_dict = dict() |
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| 113 | if rows_spaces is not None and len(rows_spaces) > 0: |
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| 114 | for row in rows_spaces: |
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| 115 | parent_node = node_dict[row['parent_space_id']] if row['parent_space_id'] is not None else None |
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| 116 | node_dict[row['id']] = AnyNode(id=row['id'], parent=parent_node, name=row['name']) |
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| 117 | |||
| 118 | ################################################################################################################ |
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| 119 | # Step 3: query all tenants in the space tree |
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| 120 | ################################################################################################################ |
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| 121 | tenant_dict = dict() |
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| 122 | space_dict = dict() |
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| 123 | |||
| 124 | for node in LevelOrderIter(node_dict[space_id]): |
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| 125 | space_dict[node.id] = node.name |
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| 126 | |||
| 127 | cursor_system_db.execute(" SELECT t.id, t.name AS tenant_name, s.name AS space_name, " |
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| 128 | " cc.name AS cost_center_name, t.description " |
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| 129 | " FROM tbl_spaces s, tbl_spaces_tenants st, tbl_tenants t, tbl_cost_centers cc " |
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| 130 | " WHERE s.id IN ( " + ', '.join(map(str, space_dict.keys())) + ") " |
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| 131 | " AND st.space_id = s.id AND st.tenant_id = t.id " |
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| 132 | " AND t.cost_center_id = cc.id ", ) |
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| 133 | rows_tenants = cursor_system_db.fetchall() |
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| 134 | if rows_tenants is not None and len(rows_tenants) > 0: |
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| 135 | for row in rows_tenants: |
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| 136 | tenant_dict[row['id']] = {"tenant_name": row['tenant_name'], |
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| 137 | "space_name": row['space_name'], |
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| 138 | "cost_center_name": row['cost_center_name'], |
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| 139 | "description": row['description'], |
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| 140 | "values": list()} |
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| 141 | |||
| 142 | ################################################################################################################ |
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| 143 | # Step 4: query energy categories |
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| 144 | ################################################################################################################ |
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| 145 | cnx_energy_db = mysql.connector.connect(**config.myems_energy_db) |
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| 146 | cursor_energy_db = cnx_energy_db.cursor() |
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| 147 | |||
| 148 | # query energy categories in reporting period |
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| 149 | energy_category_set = set() |
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| 150 | cursor_energy_db.execute(" SELECT DISTINCT(energy_category_id) " |
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| 151 | " FROM tbl_tenant_input_category_hourly " |
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| 152 | " WHERE start_datetime_utc >= %s AND start_datetime_utc < %s ", |
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| 153 | (reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 154 | rows_energy_categories = cursor_energy_db.fetchall() |
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| 155 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
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| 156 | for row_energy_category in rows_energy_categories: |
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| 157 | energy_category_set.add(row_energy_category[0]) |
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| 158 | |||
| 159 | # query all energy categories |
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| 160 | cursor_system_db.execute(" SELECT id, name, unit_of_measure " |
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| 161 | " FROM tbl_energy_categories " |
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| 162 | " ORDER BY id ", ) |
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| 163 | rows_energy_categories = cursor_system_db.fetchall() |
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| 164 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
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| 165 | if cursor_system_db: |
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| 166 | cursor_system_db.close() |
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| 167 | if cnx_system_db: |
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| 168 | cnx_system_db.disconnect() |
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| 169 | |||
| 170 | if cursor_energy_db: |
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| 171 | cursor_energy_db.close() |
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| 172 | if cnx_energy_db: |
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| 173 | cnx_energy_db.disconnect() |
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| 174 | |||
| 175 | raise falcon.HTTPError(falcon.HTTP_404, |
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| 176 | title='API.NOT_FOUND', |
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| 177 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
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| 178 | energy_category_list = list() |
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| 179 | for row_energy_category in rows_energy_categories: |
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| 180 | if row_energy_category['id'] in energy_category_set: |
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| 181 | energy_category_list.append({"id": row_energy_category['id'], |
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| 182 | "name": row_energy_category['name'], |
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| 183 | "unit_of_measure": row_energy_category['unit_of_measure']}) |
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| 184 | |||
| 185 | ################################################################################################################ |
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| 186 | # Step 5: query reporting period energy input |
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| 187 | ################################################################################################################ |
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| 188 | for tenant_id in tenant_dict: |
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| 189 | |||
| 190 | cursor_energy_db.execute(" SELECT energy_category_id, SUM(actual_value) " |
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| 191 | " FROM tbl_tenant_input_category_hourly " |
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| 192 | " WHERE tenant_id = %s " |
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| 193 | " AND start_datetime_utc >= %s " |
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| 194 | " AND start_datetime_utc < %s " |
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| 195 | " GROUP BY energy_category_id ", |
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| 196 | (tenant_id, |
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| 197 | reporting_start_datetime_utc, |
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| 198 | reporting_end_datetime_utc)) |
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| 199 | rows_tenant_energy = cursor_energy_db.fetchall() |
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| 200 | for energy_category in energy_category_list: |
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| 201 | subtotal = Decimal(0.0) |
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| 202 | for row_tenant_energy in rows_tenant_energy: |
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| 203 | if energy_category['id'] == row_tenant_energy[0]: |
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| 204 | subtotal = row_tenant_energy[1] |
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| 205 | break |
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| 206 | tenant_dict[tenant_id]['values'].append(subtotal) |
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| 207 | |||
| 208 | if cursor_system_db: |
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| 209 | cursor_system_db.close() |
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| 210 | if cnx_system_db: |
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| 211 | cnx_system_db.disconnect() |
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| 212 | |||
| 213 | if cursor_energy_db: |
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| 214 | cursor_energy_db.close() |
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| 215 | if cnx_energy_db: |
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| 216 | cnx_energy_db.disconnect() |
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| 217 | |||
| 218 | ################################################################################################################ |
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| 219 | # Step 6: construct the report |
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| 220 | ################################################################################################################ |
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| 221 | tenant_list = list() |
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| 222 | for tenant_id, tenant in tenant_dict.items(): |
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| 223 | tenant_list.append({ |
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| 224 | "id": tenant_id, |
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| 225 | "tenant_name": tenant['tenant_name'], |
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| 226 | "space_name": tenant['space_name'], |
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| 227 | "cost_center_name": tenant['cost_center_name'], |
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| 228 | "description": tenant['description'], |
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| 229 | "values": tenant['values'], |
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| 230 | }) |
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| 231 | |||
| 232 | result = {'tenants': tenant_list, |
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| 233 | 'energycategories': energy_category_list} |
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| 234 | |||
| 235 | resp.body = json.dumps(result) |
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| 236 |