MyEMS /
myems
| Total Complexity | 51 |
| Total Lines | 296 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
Complex classes like reports.metertrend 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 re |
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| 2 | import falcon |
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| 3 | import simplejson as json |
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| 4 | import mysql.connector |
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| 5 | import config |
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| 6 | from datetime import datetime, timedelta, timezone |
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| 7 | from core import utilities |
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| 8 | import excelexporters.metertrend |
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| 9 | |||
| 10 | |||
| 11 | class Reporting: |
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| 12 | @staticmethod |
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| 13 | def __init__(): |
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| 14 | """"Initializes Reporting""" |
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| 15 | pass |
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| 16 | |||
| 17 | @staticmethod |
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| 18 | def on_options(req, resp): |
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| 19 | resp.status = falcon.HTTP_200 |
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| 20 | |||
| 21 | #################################################################################################################### |
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| 22 | # PROCEDURES |
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| 23 | # Step 1: valid parameters |
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| 24 | # Step 2: query the meter and energy category |
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| 25 | # Step 3: query associated points |
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| 26 | # Step 4: query reporting period points trends |
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| 27 | # Step 5: query tariff data |
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| 28 | # Step 6: 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 | meter_id = req.params.get('meterid') |
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| 34 | meter_uuid = req.params.get('meteruuid') |
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| 35 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 36 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 37 | quick_mode = req.params.get('quickmode') |
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| 38 | |||
| 39 | ################################################################################################################ |
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| 40 | # Step 1: valid parameters |
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| 41 | ################################################################################################################ |
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| 42 | if meter_id is None and meter_uuid is None: |
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| 43 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID') |
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| 44 | |||
| 45 | if meter_id is not None: |
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| 46 | meter_id = str.strip(meter_id) |
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| 47 | if not meter_id.isdigit() or int(meter_id) <= 0: |
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| 48 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID') |
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| 49 | |||
| 50 | if meter_uuid is not None: |
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| 51 | regex = re.compile('^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
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| 52 | match = regex.match(str.strip(meter_uuid)) |
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| 53 | if not bool(match): |
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| 54 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_UUID') |
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| 55 | |||
| 56 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 57 | if config.utc_offset[0] == '-': |
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| 58 | timezone_offset = -timezone_offset |
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| 59 | |||
| 60 | if reporting_period_start_datetime_local is None: |
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| 61 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 62 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 63 | else: |
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| 64 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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| 65 | try: |
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| 66 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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| 67 | '%Y-%m-%dT%H:%M:%S') |
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| 68 | except ValueError: |
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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_START_DATETIME") |
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| 71 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 72 | timedelta(minutes=timezone_offset) |
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| 73 | |||
| 74 | if reporting_period_end_datetime_local is None: |
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| 75 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 76 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 77 | else: |
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| 78 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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| 79 | try: |
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| 80 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
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| 81 | '%Y-%m-%dT%H:%M:%S') |
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| 82 | except ValueError: |
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| 83 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 84 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 85 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 86 | timedelta(minutes=timezone_offset) |
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| 87 | |||
| 88 | if reporting_start_datetime_utc >= reporting_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_REPORTING_PERIOD_END_DATETIME') |
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| 91 | |||
| 92 | # if turn quick mode on, do not return parameters data and excel file |
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| 93 | is_quick_mode = False |
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| 94 | if quick_mode is not None and \ |
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| 95 | len(str.strip(quick_mode)) > 0 and \ |
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| 96 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
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| 97 | is_quick_mode = True |
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| 98 | |||
| 99 | ################################################################################################################ |
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| 100 | # Step 2: query the meter and energy category |
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| 101 | ################################################################################################################ |
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| 102 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 103 | cursor_system = cnx_system.cursor() |
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| 104 | |||
| 105 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 106 | cursor_historical = cnx_historical.cursor() |
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| 107 | if meter_id is not None: |
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| 108 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 109 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 110 | " FROM tbl_meters m, tbl_energy_categories ec " |
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| 111 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (meter_id,)) |
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| 112 | row_meter = cursor_system.fetchone() |
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| 113 | elif meter_uuid is not None: |
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| 114 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 115 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 116 | " FROM tbl_meters m, tbl_energy_categories ec " |
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| 117 | " WHERE m.uuid = %s AND m.energy_category_id = ec.id ", (meter_uuid,)) |
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| 118 | row_meter = cursor_system.fetchone() |
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| 119 | |||
| 120 | if row_meter is None: |
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| 121 | if cursor_system: |
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| 122 | cursor_system.close() |
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| 123 | if cnx_system: |
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| 124 | cnx_system.disconnect() |
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| 125 | |||
| 126 | if cursor_historical: |
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| 127 | cursor_historical.close() |
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| 128 | if cnx_historical: |
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| 129 | cnx_historical.disconnect() |
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| 130 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND') |
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| 131 | meter = dict() |
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| 132 | meter['id'] = row_meter[0] |
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| 133 | meter['name'] = row_meter[1] |
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| 134 | meter['cost_center_id'] = row_meter[2] |
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| 135 | meter['energy_category_id'] = row_meter[3] |
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| 136 | meter['energy_category_name'] = row_meter[4] |
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| 137 | meter['unit_of_measure'] = row_meter[5] |
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| 138 | meter['kgce'] = row_meter[6] |
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| 139 | meter['kgco2e'] = row_meter[7] |
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| 140 | |||
| 141 | ################################################################################################################ |
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| 142 | # Step 3: query associated points |
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| 143 | ################################################################################################################ |
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| 144 | point_list = list() |
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| 145 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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| 146 | " FROM tbl_meters m, tbl_meters_points mp, tbl_points p " |
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| 147 | " WHERE m.id = %s AND m.id = mp.meter_id AND mp.point_id = p.id " |
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| 148 | " ORDER BY p.id ", (meter['id'],)) |
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| 149 | rows_points = cursor_system.fetchall() |
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| 150 | if rows_points is not None and len(rows_points) > 0: |
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| 151 | for row in rows_points: |
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| 152 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 153 | |||
| 154 | ################################################################################################################ |
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| 155 | # Step 4: query reporting period points trends |
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| 156 | ################################################################################################################ |
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| 157 | reporting = dict() |
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| 158 | reporting['names'] = list() |
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| 159 | reporting['timestamps'] = list() |
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| 160 | reporting['values'] = list() |
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| 161 | |||
| 162 | for point in point_list: |
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| 163 | if is_quick_mode and point['object_type'] != 'ENERGY_VALUE': |
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| 164 | continue |
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| 165 | |||
| 166 | point_values = [] |
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| 167 | point_timestamps = [] |
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| 168 | if point['object_type'] == 'ANALOG_VALUE': |
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| 169 | query = (" SELECT utc_date_time, actual_value " |
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| 170 | " FROM tbl_analog_value " |
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| 171 | " WHERE point_id = %s " |
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| 172 | " AND utc_date_time BETWEEN %s AND %s " |
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| 173 | " ORDER BY utc_date_time ") |
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| 174 | cursor_historical.execute(query, (point['id'], |
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| 175 | reporting_start_datetime_utc, |
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| 176 | reporting_end_datetime_utc)) |
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| 177 | rows = cursor_historical.fetchall() |
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| 178 | |||
| 179 | if rows is not None and len(rows) > 0: |
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| 180 | for row in rows: |
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| 181 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 182 | timedelta(minutes=timezone_offset) |
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| 183 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 184 | point_timestamps.append(current_datetime) |
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| 185 | point_values.append(row[1]) |
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| 186 | |||
| 187 | elif point['object_type'] == 'ENERGY_VALUE': |
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| 188 | query = (" SELECT utc_date_time, actual_value " |
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| 189 | " FROM tbl_energy_value " |
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| 190 | " WHERE point_id = %s " |
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| 191 | " AND utc_date_time BETWEEN %s AND %s " |
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| 192 | " ORDER BY utc_date_time ") |
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| 193 | cursor_historical.execute(query, (point['id'], |
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| 194 | reporting_start_datetime_utc, |
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| 195 | reporting_end_datetime_utc)) |
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| 196 | rows = cursor_historical.fetchall() |
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| 197 | |||
| 198 | if rows is not None and len(rows) > 0: |
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| 199 | for row in rows: |
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| 200 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 201 | timedelta(minutes=timezone_offset) |
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| 202 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 203 | point_timestamps.append(current_datetime) |
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| 204 | point_values.append(row[1]) |
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| 205 | elif point['object_type'] == 'DIGITAL_VALUE': |
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| 206 | query = (" SELECT utc_date_time, actual_value " |
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| 207 | " FROM tbl_digital_value " |
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| 208 | " WHERE point_id = %s " |
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| 209 | " AND utc_date_time BETWEEN %s AND %s " |
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| 210 | " ORDER BY utc_date_time ") |
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| 211 | cursor_historical.execute(query, (point['id'], |
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| 212 | reporting_start_datetime_utc, |
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| 213 | reporting_end_datetime_utc)) |
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| 214 | rows = cursor_historical.fetchall() |
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| 215 | |||
| 216 | if rows is not None and len(rows) > 0: |
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| 217 | for row in rows: |
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| 218 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 219 | timedelta(minutes=timezone_offset) |
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| 220 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 221 | point_timestamps.append(current_datetime) |
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| 222 | point_values.append(row[1]) |
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| 223 | |||
| 224 | reporting['names'].append(point['name'] + ' (' + point['units'] + ')') |
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| 225 | reporting['timestamps'].append(point_timestamps) |
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| 226 | reporting['values'].append(point_values) |
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| 227 | |||
| 228 | ################################################################################################################ |
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| 229 | # Step 5: query tariff data |
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| 230 | ################################################################################################################ |
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| 231 | parameters_data = dict() |
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| 232 | parameters_data['names'] = list() |
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| 233 | parameters_data['timestamps'] = list() |
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| 234 | parameters_data['values'] = list() |
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| 235 | if not is_quick_mode: |
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| 236 | tariff_dict = utilities.get_energy_category_tariffs(meter['cost_center_id'], |
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| 237 | meter['energy_category_id'], |
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| 238 | reporting_start_datetime_utc, |
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| 239 | reporting_end_datetime_utc) |
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| 240 | print(tariff_dict) |
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| 241 | tariff_timestamp_list = list() |
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| 242 | tariff_value_list = list() |
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| 243 | for k, v in tariff_dict.items(): |
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| 244 | # convert k from utc to local |
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| 245 | k = k + timedelta(minutes=timezone_offset) |
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| 246 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
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| 247 | tariff_value_list.append(v) |
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| 248 | |||
| 249 | parameters_data['names'].append('TARIFF-' + meter['energy_category_name']) |
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| 250 | parameters_data['timestamps'].append(tariff_timestamp_list) |
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| 251 | parameters_data['values'].append(tariff_value_list) |
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| 252 | |||
| 253 | ################################################################################################################ |
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| 254 | # Step 6: construct the report |
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| 255 | ################################################################################################################ |
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| 256 | if cursor_system: |
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| 257 | cursor_system.close() |
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| 258 | if cnx_system: |
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| 259 | cnx_system.disconnect() |
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| 260 | |||
| 261 | if cursor_historical: |
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| 262 | cursor_historical.close() |
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| 263 | if cnx_historical: |
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| 264 | cnx_historical.disconnect() |
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| 265 | |||
| 266 | result = { |
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| 267 | "meter": { |
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| 268 | "cost_center_id": meter['cost_center_id'], |
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| 269 | "energy_category_id": meter['energy_category_id'], |
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| 270 | "energy_category_name": meter['energy_category_name'], |
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| 271 | "unit_of_measure": meter['unit_of_measure'], |
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| 272 | "kgce": meter['kgce'], |
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| 273 | "kgco2e": meter['kgco2e'], |
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| 274 | }, |
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| 275 | "reporting_period": { |
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| 276 | "names": reporting['names'], |
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| 277 | "timestamps": reporting['timestamps'], |
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| 278 | "values": reporting['values'], |
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| 279 | }, |
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| 280 | "parameters": { |
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| 281 | "names": parameters_data['names'], |
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| 282 | "timestamps": parameters_data['timestamps'], |
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| 283 | "values": parameters_data['values'] |
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| 284 | }, |
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| 285 | "excel_bytes_base64": None |
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| 286 | } |
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| 287 | # export result to Excel file and then encode the file to base64 string |
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| 288 | if not is_quick_mode: |
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| 289 | result['excel_bytes_base64'] = excelexporters.metertrend.export(result, |
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| 290 | meter['name'], |
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| 291 | reporting_period_start_datetime_local, |
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| 292 | reporting_period_end_datetime_local, |
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| 293 | None) |
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| 294 | |||
| 295 | resp.text = json.dumps(result) |
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| 296 |
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