| Total Complexity | 51 |
| Total Lines | 267 |
| Duplicated Lines | 7.49 % |
| Changes | 0 | ||
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like reports.energyflowdiagram 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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| 2 | import simplejson as json |
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| 3 | import mysql.connector |
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| 4 | from datetime import datetime, timedelta, timezone |
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| 5 | from core import utilities |
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| 6 | from decimal import Decimal |
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| 7 | import config |
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| 8 | |||
| 9 | |||
| 10 | class Reporting: |
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| 11 | @staticmethod |
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| 12 | def __init__(): |
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| 13 | pass |
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| 14 | |||
| 15 | @staticmethod |
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| 16 | def on_options(req, resp): |
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| 17 | resp.status = falcon.HTTP_200 |
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| 18 | |||
| 19 | #################################################################################################################### |
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| 20 | # PROCEDURES |
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| 21 | # Step 1: valid parameters |
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| 22 | # Step 2: query the energy flor diagram |
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| 23 | # Step 3: query nodes |
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| 24 | # Step 4: query links |
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| 25 | # Step 5: query reporting period meter energy input |
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| 26 | # Step 6: query reporting period offline meter energy input |
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| 27 | # Step 7: query reporting period virtual energy input |
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| 28 | # Step 8: construct the report |
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| 29 | #################################################################################################################### |
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| 30 | @staticmethod |
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| 31 | def on_get(req, resp): |
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| 32 | print(req.params) |
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| 33 | energy_flow_diagram_id = req.params.get('energyflowdiagramid') |
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| 34 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 35 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 36 | |||
| 37 | ################################################################################################################ |
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| 38 | # Step 1: valid parameters |
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| 39 | ################################################################################################################ |
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| 40 | if energy_flow_diagram_id is None: |
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| 41 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 42 | title='API.BAD_REQUEST', |
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| 43 | description='API.INVALID_ENERGY_FLOW_DIAGRAM_ID') |
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| 44 | else: |
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| 45 | energy_flow_diagram_id = str.strip(energy_flow_diagram_id) |
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| 46 | if not energy_flow_diagram_id.isdigit() or int(energy_flow_diagram_id) <= 0: |
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| 47 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 48 | title='API.BAD_REQUEST', |
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| 49 | description='API.INVALID_ENERGY_FLOW_DIAGRAM_ID') |
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| 50 | |||
| 51 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 52 | if config.utc_offset[0] == '-': |
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| 53 | timezone_offset = -timezone_offset |
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| 54 | |||
| 55 | if reporting_start_datetime_local is None: |
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| 56 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 57 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 58 | else: |
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| 59 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
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| 60 | try: |
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| 61 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
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| 62 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 63 | timedelta(minutes=timezone_offset) |
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| 64 | except ValueError: |
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| 65 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 66 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 67 | |||
| 68 | if reporting_end_datetime_local is None: |
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| 69 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 70 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 71 | else: |
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| 72 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
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| 73 | try: |
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| 74 | reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, |
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| 75 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 76 | timedelta(minutes=timezone_offset) |
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| 77 | except ValueError: |
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| 78 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 79 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 80 | |||
| 81 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 82 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 83 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 84 | ################################################################################################################ |
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| 85 | # Step 2: query the energy flow diagram |
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| 86 | ################################################################################################################ |
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| 87 | |||
| 88 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 89 | cursor_system = cnx_system.cursor(dictionary=True) |
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| 90 | |||
| 91 | query = (" SELECT name, uuid " |
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| 92 | " FROM tbl_energy_flow_diagrams " |
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| 93 | " WHERE id = %s ") |
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| 94 | cursor_system.execute(query, (energy_flow_diagram_id,)) |
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| 95 | row = cursor_system.fetchone() |
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| 96 | |||
| 97 | if row is None: |
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| 98 | if cursor_system: |
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| 99 | cursor_system.close() |
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| 100 | if cnx_system: |
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| 101 | cnx_system.disconnect() |
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| 102 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', |
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| 103 | description='API.ENERGY_FLOW_DIAGRAM_NOT_FOUND') |
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| 104 | else: |
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| 105 | energy_flow_diagram_name = row['name'] |
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| 106 | energy_flow_diagram_uuid = row['uuid'] |
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| 107 | |||
| 108 | ################################################################################################################ |
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| 109 | # Step 3: query nodes |
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| 110 | ################################################################################################################ |
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| 111 | |||
| 112 | query = (" SELECT id, energy_flow_diagram_id, name " |
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| 113 | " FROM tbl_energy_flow_diagrams_nodes") |
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| 114 | cursor_system.execute(query) |
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| 115 | rows_nodes = cursor_system.fetchall() |
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| 116 | |||
| 117 | node_dict = dict() |
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| 118 | node_list_dict = dict() |
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| 119 | if rows_nodes is not None and len(rows_nodes) > 0: |
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| 120 | for row in rows_nodes: |
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| 121 | node_dict[row['id']] = row['name'] |
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| 122 | if node_list_dict.get(row['energy_flow_diagram_id']) is None: |
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| 123 | node_list_dict[row['energy_flow_diagram_id']] = list() |
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| 124 | node_list_dict[row['energy_flow_diagram_id']].append({"id": row['id'], "name": row['name']}) |
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| 125 | |||
| 126 | ################################################################################################################ |
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| 127 | # Step 4: query links |
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| 128 | ################################################################################################################ |
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| 129 | query = (" SELECT id, name, uuid " |
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| 130 | " FROM tbl_meters ") |
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| 131 | cursor_system.execute(query) |
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| 132 | rows_meters = cursor_system.fetchall() |
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| 133 | |||
| 134 | meter_dict = dict() |
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| 135 | if rows_meters is not None and len(rows_meters) > 0: |
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| 136 | for row in rows_meters: |
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| 137 | meter_dict[row['uuid']] = {"type": 'meter', |
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| 138 | "id": row['id'], |
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| 139 | "name": row['name'], |
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| 140 | "uuid": row['uuid']} |
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| 141 | |||
| 142 | query = (" SELECT id, name, uuid " |
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| 143 | " FROM tbl_offline_meters ") |
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| 144 | cursor_system.execute(query) |
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| 145 | rows_offline_meters = cursor_system.fetchall() |
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| 146 | |||
| 147 | offline_meter_dict = dict() |
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| 148 | if rows_offline_meters is not None and len(rows_offline_meters) > 0: |
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| 149 | for row in rows_offline_meters: |
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| 150 | offline_meter_dict[row['uuid']] = {"type": 'offline_meter', |
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| 151 | "id": row['id'], |
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| 152 | "name": row['name'], |
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| 153 | "uuid": row['uuid']} |
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| 154 | |||
| 155 | query = (" SELECT id, name, uuid " |
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| 156 | " FROM tbl_virtual_meters ") |
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| 157 | cursor_system.execute(query) |
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| 158 | rows_virtual_meters = cursor_system.fetchall() |
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| 159 | |||
| 160 | virtual_meter_dict = dict() |
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| 161 | if rows_virtual_meters is not None and len(rows_virtual_meters) > 0: |
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| 162 | for row in rows_virtual_meters: |
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| 163 | virtual_meter_dict[row['uuid']] = {"type": 'virtual_meter', |
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| 164 | "id": row['id'], |
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| 165 | "name": row['name'], |
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| 166 | "uuid": row['uuid']} |
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| 167 | |||
| 168 | query = (" SELECT id, energy_flow_diagram_id, source_node_id, target_node_id, meter_uuid " |
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| 169 | " FROM tbl_energy_flow_diagrams_links") |
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| 170 | cursor_system.execute(query) |
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| 171 | rows_links = cursor_system.fetchall() |
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| 172 | |||
| 173 | link_list_dict = dict() |
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| 174 | View Code Duplication | if rows_links is not None and len(rows_links) > 0: |
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| 175 | for row in rows_links: |
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| 176 | # find meter by uuid |
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| 177 | meter = meter_dict.get(row['meter_uuid'], None) |
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| 178 | if meter is None: |
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| 179 | meter = virtual_meter_dict.get(row['meter_uuid'], None) |
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| 180 | if meter is None: |
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| 181 | meter = offline_meter_dict.get(row['meter_uuid'], None) |
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| 182 | |||
| 183 | if link_list_dict.get(row['energy_flow_diagram_id']) is None: |
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| 184 | link_list_dict[row['energy_flow_diagram_id']] = list() |
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| 185 | link_list_dict[row['energy_flow_diagram_id']].append({"id": row['id'], |
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| 186 | "source_node": { |
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| 187 | "id": row['source_node_id'], |
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| 188 | "name": node_dict.get(row['source_node_id'])}, |
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| 189 | "target_node": { |
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| 190 | "id": row['target_node_id'], |
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| 191 | "name": node_dict.get(row['target_node_id'])}, |
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| 192 | "meter": meter, |
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| 193 | "value": None}) |
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| 194 | |||
| 195 | meta_result = {"id": energy_flow_diagram_id, |
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| 196 | "name": energy_flow_diagram_name, |
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| 197 | "uuid": energy_flow_diagram_uuid, |
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| 198 | "nodes": node_list_dict.get(int(energy_flow_diagram_id), None), |
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| 199 | "links": link_list_dict.get(int(energy_flow_diagram_id), None), |
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| 200 | } |
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| 201 | print(meta_result) |
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| 202 | if cursor_system: |
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| 203 | cursor_system.close() |
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| 204 | if cnx_system: |
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| 205 | cnx_system.disconnect() |
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| 206 | |||
| 207 | ################################################################################################################ |
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| 208 | # Step 5: query reporting period meter energy input |
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| 209 | ################################################################################################################ |
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| 210 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 211 | cursor_energy = cnx_energy.cursor() |
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| 212 | for x in range(len(meta_result['links'])): |
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| 213 | if meta_result['links'][x] is None or meta_result['links'][x]['meter'] is None: |
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| 214 | continue |
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| 215 | if meta_result['links'][x]['meter']['type'] == 'meter': |
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| 216 | query = (" SELECT SUM(actual_value) " |
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| 217 | " FROM tbl_meter_hourly " |
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| 218 | " WHERE meter_id = %s " |
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| 219 | " AND start_datetime_utc >= %s " |
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| 220 | " AND start_datetime_utc < %s ") |
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| 221 | cursor_energy.execute(query, (meta_result['links'][x]['meter']['id'], |
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| 222 | reporting_start_datetime_utc, |
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| 223 | reporting_end_datetime_utc)) |
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| 224 | row = cursor_energy.fetchone() |
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| 225 | if row is not None: |
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| 226 | meta_result['links'][x]['value'] = row[0] |
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| 227 | elif meta_result['links'][x]['meter']['type'] == 'offline_meter': |
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| 228 | query = (" SELECT SUM(actual_value) " |
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| 229 | " FROM tbl_offline_meter_hourly " |
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| 230 | " WHERE meter_id = %s " |
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| 231 | " AND start_datetime_utc >= %s " |
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| 232 | " AND start_datetime_utc < %s ") |
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| 233 | cursor_energy.execute(query, (meta_result['links'][x]['meter']['id'], |
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| 234 | reporting_start_datetime_utc, |
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| 235 | reporting_end_datetime_utc)) |
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| 236 | row = cursor_energy.fetchone() |
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| 237 | if row is not None: |
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| 238 | meta_result['links'][x]['value'] = row[0] |
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| 239 | elif meta_result['links'][x]['meter']['type'] == 'virtual_meter': |
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| 240 | query = (" SELECT SUM(actual_value) " |
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| 241 | " FROM tbl_virtual_meter_hourly " |
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| 242 | " WHERE meter_id = %s " |
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| 243 | " AND start_datetime_utc >= %s " |
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| 244 | " AND start_datetime_utc < %s ") |
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| 245 | cursor_energy.execute(query, (meta_result['links'][x]['meter']['id'], |
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| 246 | reporting_start_datetime_utc, |
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| 247 | reporting_end_datetime_utc)) |
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| 248 | row = cursor_energy.fetchone() |
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| 249 | if row is not None: |
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| 250 | meta_result['links'][x]['value'] = row[0] |
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| 251 | |||
| 252 | ################################################################################################################ |
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| 253 | # Step 8: construct the report |
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| 254 | ################################################################################################################ |
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| 255 | |||
| 256 | result = {'nodes': list(), |
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| 257 | 'links': list()} |
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| 258 | if meta_result['nodes'] is not None and len(meta_result['nodes']) > 0: |
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| 259 | for node in meta_result['nodes']: |
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| 260 | result['nodes'].append({'name': node['name']}) |
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| 261 | if meta_result['links'] is not None and len(meta_result['links']) > 0: |
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| 262 | for link in meta_result['links']: |
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| 263 | result['links'].append({'source': link['source_node']['name'], |
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| 264 | 'target': link['target_node']['name'], |
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| 265 | 'value': link['value']}) |
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| 266 | resp.body = json.dumps(result) |
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| 267 |