MyEMS /
myems
| Conditions | 112 |
| Total Lines | 627 |
| Code Lines | 470 |
| Lines | 45 |
| Ratio | 7.18 % |
| 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.spaceproduction.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 | from datetime import datetime, timedelta, timezone |
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| 26 | @staticmethod |
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| 27 | def on_get(req, resp): |
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| 28 | if 'API-KEY' not in req.headers or \ |
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| 29 | not isinstance(req.headers['API-KEY'], str) or \ |
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| 30 | len(str.strip(req.headers['API-KEY'])) == 0: |
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| 31 | access_control(req) |
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| 32 | else: |
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| 33 | api_key_control(req) |
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| 34 | space_id = req.params.get('spaceid') |
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| 35 | product_id = req.params.get('productid') |
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| 36 | period_type = req.params.get('periodtype') |
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| 37 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 38 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 39 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 40 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 41 | language = req.params.get('language') |
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| 42 | quick_mode = req.params.get('quickmode') |
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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(status=falcon.HTTP_400, |
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| 49 | title='API.BAD_REQUEST', |
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| 50 | description='API.INVALID_SPACE_ID') |
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| 51 | |||
| 52 | if space_id is not None: |
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| 53 | space_id = str.strip(space_id) |
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| 54 | if not space_id.isdigit() or int(space_id) <= 0: |
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| 55 | raise falcon.HTTPError(status=falcon.HTTP_400, |
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| 56 | title='API.BAD_REQUEST', |
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| 57 | description='API.INVALID_SPACE_ID') |
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| 58 | |||
| 59 | if product_id is None: |
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| 60 | raise falcon.HTTPError(status=falcon.HTTP_400, |
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| 61 | title='API.BAD_REQUEST', |
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| 62 | description='API.INVALID_PRODUCT_ID') |
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| 63 | |||
| 64 | if product_id is not None: |
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| 65 | product_id = str.strip(product_id) |
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| 66 | if not product_id.isdigit() or int(product_id) <= 0: |
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| 67 | raise falcon.HTTPError(status=falcon.HTTP_400, |
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| 68 | title='API.BAD_REQUEST', |
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| 69 | description='API.INVALID_PRODUCT_ID') |
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| 70 | |||
| 71 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 72 | if config.utc_offset[0] == '-': |
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| 73 | timezone_offset = -timezone_offset |
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| 74 | |||
| 75 | base_start_datetime_utc = None |
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| 76 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
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| 77 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
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| 78 | try: |
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| 79 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 80 | except ValueError: |
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| 81 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 82 | description='API.INVALID_BASE_PERIOD_START_DATETIME') |
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| 83 | base_start_datetime_utc = \ |
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| 84 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 85 | # nomalize the start datetime |
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| 86 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
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| 87 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 88 | else: |
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| 89 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 90 | |||
| 91 | base_end_datetime_utc = None |
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| 92 | if base_period_end_datetime_local is not None or len(str.strip(base_period_end_datetime_local)) > 0: |
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| 93 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
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| 94 | try: |
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| 95 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 96 | except ValueError: |
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| 97 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 98 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 99 | base_end_datetime_utc = \ |
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| 100 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 101 | |||
| 102 | if reporting_period_start_datetime_local is None: |
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| 103 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 104 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 105 | else: |
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| 106 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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| 107 | try: |
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| 108 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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| 109 | '%Y-%m-%dT%H:%M:%S') |
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| 110 | except ValueError: |
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| 111 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 112 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 113 | reporting_start_datetime_utc = \ |
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| 114 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 115 | # nomalize the start datetime |
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| 116 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
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| 117 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 118 | else: |
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| 119 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 120 | |||
| 121 | if reporting_period_end_datetime_local is None: |
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| 122 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 123 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 124 | else: |
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| 125 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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| 126 | try: |
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| 127 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
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| 128 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 129 | timedelta(minutes=timezone_offset) |
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| 130 | except ValueError: |
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| 131 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 132 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 133 | |||
| 134 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 135 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 136 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 137 | |||
| 138 | if period_type is None: |
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| 139 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 140 | description='API.INVALID_PERIOD_TYPE') |
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| 141 | else: |
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| 142 | period_type = str.strip(period_type) |
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| 143 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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| 144 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 145 | description='API.INVALID_PERIOD_TYPE') |
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| 146 | |||
| 147 | is_quick_mode = False |
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| 148 | if quick_mode is not None and \ |
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| 149 | len(str.strip(quick_mode)) > 0 and \ |
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| 150 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
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| 151 | is_quick_mode = True |
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| 152 | |||
| 153 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 154 | cursor_system = cnx_system.cursor() |
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| 155 | |||
| 156 | cursor_system.execute(" SELECT name, area, number_of_occupants, cost_center_id " |
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| 157 | " FROM tbl_spaces " |
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| 158 | " WHERE id = %s ", (space_id,)) |
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| 159 | row = cursor_system.fetchone() |
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| 160 | |||
| 161 | if row is None: |
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| 162 | if cursor_system: |
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| 163 | cursor_system.close() |
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| 164 | if cnx_system: |
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| 165 | cnx_system.close() |
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| 166 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
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| 167 | description='API.SPACE_NOT_FOUND') |
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| 168 | else: |
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| 169 | space_name = row[0] |
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| 170 | space_area = row[1] |
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| 171 | space_center_id = row[2] |
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| 172 | space_number_of_occupants = row[3] |
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| 173 | |||
| 174 | cnx_production = mysql.connector.connect(**config.myems_production_db) |
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| 175 | cursor_production = cnx_production.cursor() |
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| 176 | |||
| 177 | cursor_production.execute(" SELECT name " |
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| 178 | " FROM tbl_products " |
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| 179 | " WHERE id = %s ", (product_id,)) |
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| 180 | row = cursor_production.fetchone() |
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| 181 | |||
| 182 | if row is None: |
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| 183 | if cursor_production: |
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| 184 | cursor_production.close() |
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| 185 | if cnx_production: |
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| 186 | cnx_production.close() |
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| 187 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
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| 188 | description='API.PRODUCT_NOT_FOUND') |
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| 189 | else: |
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| 190 | product_name = row[0] |
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| 191 | |||
| 192 | ################################################################################################################ |
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| 193 | # Step 2: query base period production |
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| 194 | ################################################################################################################ |
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| 195 | base_date_list = list() |
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| 196 | base_daily_values = list() |
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| 197 | |||
| 198 | cnx_production = mysql.connector.connect(**config.myems_production_db) |
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| 199 | cursor_production = cnx_production.cursor() |
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| 200 | |||
| 201 | query = (" SELECT start_datetime_utc, product_count " |
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| 202 | " FROM tbl_space_hourly " |
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| 203 | " WHERE space_id = %s " |
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| 204 | " AND product_id = %s " |
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| 205 | " AND start_datetime_utc >= %s " |
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| 206 | " AND start_datetime_utc < %s " |
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| 207 | " ORDER BY start_datetime_utc ") |
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| 208 | cursor_production.execute(query, (space_id, |
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| 209 | product_id, |
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| 210 | base_start_datetime_utc, |
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| 211 | base_end_datetime_utc)) |
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| 212 | rows_space_production_hourly = cursor_production.fetchall() |
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| 213 | |||
| 214 | start_datetime_utc = base_start_datetime_utc.replace(tzinfo=None) |
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| 215 | end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=None) |
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| 216 | |||
| 217 | start_datetime_local = start_datetime_utc + timedelta(hours=int(config.utc_offset[1:3])) |
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| 218 | current_datetime_utc = start_datetime_local.replace(hour=0) - timedelta(hours=int(config.utc_offset[1:3])) |
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| 219 | |||
| 220 | View Code Duplication | while current_datetime_utc <= end_datetime_utc: |
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|
Duplication
introduced
by
|
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| 221 | flag = True |
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| 222 | subtotal = Decimal(0.0) |
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| 223 | for row in rows_space_production_hourly: |
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| 224 | if current_datetime_utc <= row[0] < current_datetime_utc + timedelta(days=1): |
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| 225 | flag = False |
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| 226 | subtotal += row[1] |
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| 227 | if flag: |
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| 228 | subtotal = None |
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| 229 | current_datetime = start_datetime_local.isoformat()[0:10] |
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| 230 | |||
| 231 | base_date_list.append(current_datetime) |
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| 232 | base_daily_values.append(subtotal) |
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| 233 | current_datetime_utc += timedelta(days=1) |
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| 234 | start_datetime_local += timedelta(days=1) |
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| 235 | |||
| 236 | ################################################################################################################ |
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| 237 | # Step 3: query energy categories |
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| 238 | ################################################################################################################ |
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| 239 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 240 | cursor_system = cnx_system.cursor() |
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| 241 | |||
| 242 | cnx_billing = mysql.connector.connect(**config.myems_billing_db) |
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| 243 | cursor_billing = cnx_billing.cursor() |
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| 244 | |||
| 245 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 246 | cursor_historical = cnx_historical.cursor() |
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| 247 | |||
| 248 | energy_category_set = set() |
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| 249 | # query energy categories in base period |
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| 250 | cursor_billing.execute(" SELECT DISTINCT(energy_category_id) " |
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| 251 | " FROM tbl_space_input_category_hourly " |
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| 252 | " WHERE space_id = %s " |
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| 253 | " AND start_datetime_utc >= %s " |
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| 254 | " AND start_datetime_utc < %s ", |
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| 255 | (space_id, base_start_datetime_utc, base_end_datetime_utc)) |
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| 256 | rows_energy_categories = cursor_billing.fetchall() |
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| 257 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
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| 258 | for row_energy_category in rows_energy_categories: |
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| 259 | energy_category_set.add(row_energy_category[0]) |
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| 260 | |||
| 261 | # query energy categories in reporting period |
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| 262 | cursor_billing.execute(" SELECT DISTINCT(energy_category_id) " |
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| 263 | " FROM tbl_space_input_category_hourly " |
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| 264 | " WHERE space_id = %s " |
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| 265 | " AND start_datetime_utc >= %s " |
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| 266 | " AND start_datetime_utc < %s ", |
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| 267 | (space_id, reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 268 | rows_energy_categories = cursor_billing.fetchall() |
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| 269 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
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| 270 | for row_energy_category in rows_energy_categories: |
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| 271 | energy_category_set.add(row_energy_category[0]) |
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| 272 | |||
| 273 | # query all energy categories in base period and reporting period |
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| 274 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
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| 275 | " FROM tbl_energy_categories " |
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| 276 | " ORDER BY id ", ) |
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| 277 | rows_energy_categories = cursor_system.fetchall() |
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| 278 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
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| 279 | if cursor_system: |
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| 280 | cursor_system.close() |
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| 281 | if cnx_system: |
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| 282 | cnx_system.close() |
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| 283 | |||
| 284 | if cursor_billing: |
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| 285 | cursor_billing.close() |
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| 286 | if cnx_billing: |
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| 287 | cnx_billing.close() |
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| 288 | |||
| 289 | if cursor_historical: |
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| 290 | cursor_historical.close() |
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| 291 | if cnx_historical: |
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| 292 | cnx_historical.close() |
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| 293 | raise falcon.HTTPError(status=falcon.HTTP_404, |
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| 294 | title='API.NOT_FOUND', |
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| 295 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
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| 296 | energy_category_dict = dict() |
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| 297 | for row_energy_category in rows_energy_categories: |
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| 298 | if row_energy_category[0] in energy_category_set: |
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| 299 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
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| 300 | "unit_of_measure": row_energy_category[2], |
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| 301 | "kgce": row_energy_category[3], |
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| 302 | "kgco2e": row_energy_category[4]} |
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| 303 | |||
| 304 | ################################################################################################################ |
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| 305 | # Step 4: query reporting period production |
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| 306 | ################################################################################################################ |
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| 307 | reporting_date_list = list() |
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| 308 | reporting_daily_values = list() |
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| 309 | |||
| 310 | cnx_production = mysql.connector.connect(**config.myems_production_db) |
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| 311 | cursor_production = cnx_production.cursor() |
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| 312 | |||
| 313 | query = (" SELECT start_datetime_utc, product_count " |
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| 314 | " FROM tbl_space_hourly " |
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| 315 | " WHERE space_id = %s " |
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| 316 | " AND product_id = %s " |
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| 317 | " AND start_datetime_utc >= %s " |
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| 318 | " AND start_datetime_utc < %s " |
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| 319 | " ORDER BY start_datetime_utc ") |
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| 320 | cursor_production.execute(query, (space_id, |
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| 321 | product_id, |
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| 322 | reporting_start_datetime_utc, |
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| 323 | reporting_end_datetime_utc)) |
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| 324 | rows_space_production_hourly = cursor_production.fetchall() |
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| 325 | |||
| 326 | start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=None) |
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| 327 | end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=None) |
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| 328 | |||
| 329 | start_datetime_local = start_datetime_utc + timedelta(hours=int(config.utc_offset[1:3])) |
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| 330 | current_datetime_utc = start_datetime_local.replace(hour=0) - timedelta(hours=int(config.utc_offset[1:3])) |
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| 331 | |||
| 332 | View Code Duplication | while current_datetime_utc <= end_datetime_utc: |
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| 333 | flag = True |
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| 334 | subtotal = Decimal(0.0) |
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| 335 | for row in rows_space_production_hourly: |
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| 336 | if current_datetime_utc <= row[0] < current_datetime_utc + timedelta(days=1): |
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| 337 | flag = False |
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| 338 | subtotal += row[1] |
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| 339 | if flag: |
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| 340 | subtotal = None |
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| 341 | current_datetime = start_datetime_local.isoformat()[0:10] |
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| 342 | |||
| 343 | reporting_date_list.append(current_datetime) |
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| 344 | reporting_daily_values.append(subtotal) |
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| 345 | current_datetime_utc += timedelta(days=1) |
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| 346 | start_datetime_local += timedelta(days=1) |
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| 347 | |||
| 348 | query = (" SELECT name, unit_of_measure, tag, standard_product_coefficient " |
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| 349 | " FROM tbl_products " |
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| 350 | " WHERE id = %s ") |
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| 351 | cursor_production.execute(query, (product_id,)) |
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| 352 | row_product = cursor_production.fetchone() |
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| 353 | product_dict = dict() |
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| 354 | product_dict['name'] = row_product[0] |
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| 355 | product_dict['unit'] = row_product[1] |
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| 356 | product_dict['tag'] = row_product[2] |
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| 357 | product_dict['coefficient'] = row_product[3] |
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| 358 | |||
| 359 | ################################################################################################################ |
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| 360 | # Step 5: query base period production |
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| 361 | ################################################################################################################ |
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| 362 | base_date_list = list() |
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| 363 | base_daily_values = list() |
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| 364 | |||
| 365 | cnx_production = mysql.connector.connect(**config.myems_production_db) |
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| 366 | cursor_production = cnx_production.cursor() |
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| 367 | |||
| 368 | query = (" SELECT start_datetime_utc, product_count " |
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| 369 | " FROM tbl_space_hourly " |
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| 370 | " WHERE space_id = %s " |
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| 371 | " AND product_id = %s " |
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| 372 | " AND start_datetime_utc >= %s " |
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| 373 | " AND start_datetime_utc < %s " |
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| 374 | " ORDER BY start_datetime_utc ") |
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| 375 | cursor_production.execute(query, (space_id, |
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| 376 | product_id, |
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| 377 | base_start_datetime_utc, |
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| 378 | base_end_datetime_utc)) |
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| 379 | rows_space_production_hourly = cursor_production.fetchall() |
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| 380 | start_datetime_utc = base_start_datetime_utc.replace(tzinfo=None) |
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| 381 | end_datetime_utc = base_end_datetime_utc.replace(tzinfo=None) |
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| 382 | |||
| 383 | start_datetime_local = start_datetime_utc + timedelta(hours=int(config.utc_offset[1:3])) |
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| 384 | current_datetime_utc = start_datetime_local.replace(hour=0) - timedelta(hours=int(config.utc_offset[1:3])) |
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| 385 | |||
| 386 | View Code Duplication | while current_datetime_utc <= end_datetime_utc: |
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| 387 | flag = True |
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| 388 | subtotal = Decimal(0.0) |
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| 389 | for row in rows_space_production_hourly: |
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| 390 | if current_datetime_utc <= row[0] < current_datetime_utc + timedelta(days=1): |
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| 391 | flag = False |
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| 392 | subtotal += row[1] |
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| 393 | if flag: |
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| 394 | subtotal = None |
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| 395 | current_datetime = start_datetime_local.isoformat()[0:10] |
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| 396 | |||
| 397 | base_date_list.append(current_datetime) |
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| 398 | base_daily_values.append(subtotal) |
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| 399 | current_datetime_utc += timedelta(days=1) |
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| 400 | start_datetime_local += timedelta(days=1) |
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| 401 | |||
| 402 | ################################################################################################################ |
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| 403 | # Step 6: query base period energy consumption |
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| 404 | ################################################################################################################ |
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| 405 | base = dict() |
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| 406 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 407 | for energy_category_id in energy_category_set: |
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| 408 | kgce = energy_category_dict[energy_category_id]['kgce'] |
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| 409 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
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| 410 | |||
| 411 | base[energy_category_id] = dict() |
||
| 412 | base[energy_category_id]['timestamps'] = list() |
||
| 413 | base[energy_category_id]['values'] = list() |
||
| 414 | base[energy_category_id]['subtotal'] = Decimal(0.0) |
||
| 415 | base[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
||
| 416 | base[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
||
| 417 | |||
| 418 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
||
| 419 | " FROM tbl_space_input_category_hourly " |
||
| 420 | " WHERE space_id = %s " |
||
| 421 | " AND energy_category_id = %s " |
||
| 422 | " AND start_datetime_utc >= %s " |
||
| 423 | " AND start_datetime_utc < %s " |
||
| 424 | " ORDER BY start_datetime_utc ", |
||
| 425 | (space_id, |
||
| 426 | energy_category_id, |
||
| 427 | base_start_datetime_utc, |
||
| 428 | base_end_datetime_utc)) |
||
| 429 | rows_space_hourly = cursor_billing.fetchall() |
||
| 430 | |||
| 431 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
||
| 432 | base_start_datetime_utc, |
||
| 433 | base_end_datetime_utc, |
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| 434 | period_type) |
||
| 435 | for row_space_periodically in rows_space_periodically: |
||
| 436 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 437 | timedelta(minutes=timezone_offset) |
||
| 438 | if period_type == 'hourly': |
||
| 439 | current_datetime = current_datetime_local.isoformat()[0:19] |
||
| 440 | elif period_type == 'daily': |
||
| 441 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 442 | elif period_type == 'weekly': |
||
| 443 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 444 | elif period_type == 'monthly': |
||
| 445 | current_datetime = current_datetime_local.isoformat()[0:7] |
||
| 446 | elif period_type == 'yearly': |
||
| 447 | current_datetime = current_datetime_local.isoformat()[0:4] |
||
| 448 | |||
| 449 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
||
| 450 | base[energy_category_id]['timestamps'].append(current_datetime) |
||
| 451 | base[energy_category_id]['values'].append(actual_value) |
||
| 452 | base[energy_category_id]['subtotal'] += actual_value |
||
| 453 | base[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
||
| 454 | base[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
||
| 455 | |||
| 456 | ################################################################################################################ |
||
| 457 | # Step 7: query reporting period energy consumption |
||
| 458 | ################################################################################################################ |
||
| 459 | reporting = dict() |
||
| 460 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 461 | for energy_category_id in energy_category_set: |
||
| 462 | kgce = energy_category_dict[energy_category_id]['kgce'] |
||
| 463 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
||
| 464 | |||
| 465 | reporting[energy_category_id] = dict() |
||
| 466 | reporting[energy_category_id]['timestamps'] = list() |
||
| 467 | reporting[energy_category_id]['values'] = list() |
||
| 468 | reporting[energy_category_id]['subtotal'] = Decimal(0.0) |
||
| 469 | reporting[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
||
| 470 | reporting[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
||
| 471 | |||
| 472 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
||
| 473 | " FROM tbl_space_input_category_hourly " |
||
| 474 | " WHERE space_id = %s " |
||
| 475 | " AND energy_category_id = %s " |
||
| 476 | " AND start_datetime_utc >= %s " |
||
| 477 | " AND start_datetime_utc < %s " |
||
| 478 | " ORDER BY start_datetime_utc ", |
||
| 479 | (space_id, |
||
| 480 | energy_category_id, |
||
| 481 | reporting_start_datetime_utc, |
||
| 482 | reporting_end_datetime_utc)) |
||
| 483 | rows_space_hourly = cursor_billing.fetchall() |
||
| 484 | |||
| 485 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
||
| 486 | reporting_start_datetime_utc, |
||
| 487 | reporting_end_datetime_utc, |
||
| 488 | period_type) |
||
| 489 | for row_space_periodically in rows_space_periodically: |
||
| 490 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 491 | timedelta(minutes=timezone_offset) |
||
| 492 | if period_type == 'hourly': |
||
| 493 | current_datetime = current_datetime_local.isoformat()[0:19] |
||
| 494 | elif period_type == 'daily': |
||
| 495 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 496 | elif period_type == 'weekly': |
||
| 497 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 498 | elif period_type == 'monthly': |
||
| 499 | current_datetime = current_datetime_local.isoformat()[0:7] |
||
| 500 | elif period_type == 'yearly': |
||
| 501 | current_datetime = current_datetime_local.isoformat()[0:4] |
||
| 502 | |||
| 503 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
||
| 504 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
||
| 505 | reporting[energy_category_id]['values'].append(actual_value) |
||
| 506 | reporting[energy_category_id]['subtotal'] += actual_value |
||
| 507 | reporting[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
||
| 508 | reporting[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
||
| 509 | |||
| 510 | ################################################################################################################ |
||
| 511 | # Step 8: construct the report |
||
| 512 | ################################################################################################################ |
||
| 513 | if cursor_system: |
||
| 514 | cursor_system.close() |
||
| 515 | if cnx_system: |
||
| 516 | cnx_system.disconnect() |
||
| 517 | |||
| 518 | if cursor_production: |
||
| 519 | cursor_production.close() |
||
| 520 | if cnx_production: |
||
| 521 | cnx_production.disconnect() |
||
| 522 | |||
| 523 | if cursor_billing: |
||
| 524 | cursor_billing.close() |
||
| 525 | if cnx_billing: |
||
| 526 | cnx_billing.close() |
||
| 527 | |||
| 528 | if cursor_historical: |
||
| 529 | cursor_historical.close() |
||
| 530 | if cnx_historical: |
||
| 531 | cnx_historical.close() |
||
| 532 | |||
| 533 | reporting_result_values = [] |
||
| 534 | base_result_values = [] |
||
| 535 | result = dict() |
||
| 536 | |||
| 537 | result['space'] = dict() |
||
| 538 | result['space']['name'] = space_name |
||
| 539 | result['space']['area'] = space_area |
||
| 540 | result['space']['number_of_occupants'] = space_number_of_occupants |
||
| 541 | |||
| 542 | result['base_period'] = dict() |
||
| 543 | result['base_period']['names'] = list() |
||
| 544 | result['base_period']['units'] = list() |
||
| 545 | result['base_period']['timestamps'] = list() |
||
| 546 | result['base_period']['values'] = list() |
||
| 547 | result['base_period']['subtotals'] = list() |
||
| 548 | result['base_period']['total'] = Decimal(0.0) |
||
| 549 | result['base_period']['subtotals_in_kgce'] = list() |
||
| 550 | result['base_period']['subtotals_in_kgco2e'] = list() |
||
| 551 | result['base_period']['total_in_kgce'] = Decimal(0.0) |
||
| 552 | result['base_period']['total_in_kgco2e'] = Decimal(0.0) |
||
| 553 | |||
| 554 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 555 | for energy_category_id in energy_category_set: |
||
| 556 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 557 | result['base_period']['units'].append(config.currency_unit) |
||
| 558 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
||
| 559 | result['base_period']['values'].append(base[energy_category_id]['values']) |
||
| 560 | result['base_period']['subtotals'].append(base[energy_category_id]['subtotal']) |
||
| 561 | result['base_period']['total'] += base[energy_category_id]['subtotal'] |
||
| 562 | result['base_period']['subtotals_in_kgce'].append(base[energy_category_id]['subtotal_in_kgce']) |
||
| 563 | result['base_period']['subtotals_in_kgco2e'].append(base[energy_category_id]['subtotal_in_kgco2e']) |
||
| 564 | result['base_period']['total_in_kgce'] += base[energy_category_id]['subtotal_in_kgce'] |
||
| 565 | result['base_period']['total_in_kgco2e'] += base[energy_category_id]['subtotal_in_kgco2e'] |
||
| 566 | |||
| 567 | result['reporting_period'] = dict() |
||
| 568 | result['reporting_period']['names'] = list() |
||
| 569 | result['reporting_period']['energy_category_ids'] = list() |
||
| 570 | result['reporting_period']['units'] = list() |
||
| 571 | result['reporting_period']['timestamps'] = list() |
||
| 572 | result['reporting_period']['values'] = list() |
||
| 573 | result['reporting_period']['subtotals'] = list() |
||
| 574 | result['reporting_period']['total'] = Decimal(0.0) |
||
| 575 | result['reporting_period']['subtotals_in_kgce'] = list() |
||
| 576 | result['reporting_period']['subtotals_in_kgco2e'] = list() |
||
| 577 | result['reporting_period']['subtotals_per_unit_area'] = list() |
||
| 578 | result['reporting_period']['subtotals_per_capita'] = list() |
||
| 579 | result['reporting_period']['total_in_kgce'] = Decimal(0.0) |
||
| 580 | result['reporting_period']['total_in_kgco2e'] = Decimal(0.0) |
||
| 581 | result['reporting_period']['total_unit'] = config.currency_unit |
||
| 582 | result['reporting_period']['rates'] = list() |
||
| 583 | result['reporting_period']['increment_rates'] = list() |
||
| 584 | result['reporting_period']['increment_rate_in_kgce'] = Decimal(0.0) |
||
| 585 | result['reporting_period']['increment_rate_in_kgco2e'] = Decimal(0.0) |
||
| 586 | |||
| 587 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 588 | for energy_category_id in energy_category_set: |
||
| 589 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 590 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
||
| 591 | result['reporting_period']['units'].append(config.currency_unit) |
||
| 592 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
||
| 593 | result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
||
| 594 | result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
||
| 595 | result['reporting_period']['total'] += reporting[energy_category_id]['subtotal'] |
||
| 596 | result['reporting_period']['subtotals_in_kgce'].append( |
||
| 597 | reporting[energy_category_id]['subtotal_in_kgce']) |
||
| 598 | result['reporting_period']['subtotals_in_kgco2e'].append( |
||
| 599 | reporting[energy_category_id]['subtotal_in_kgco2e']) |
||
| 600 | result['reporting_period']['total_in_kgce'] += reporting[energy_category_id]['subtotal_in_kgce'] |
||
| 601 | result['reporting_period']['total_in_kgco2e'] += reporting[energy_category_id]['subtotal_in_kgco2e'] |
||
| 602 | result['reporting_period']['increment_rates'].append( |
||
| 603 | (reporting[energy_category_id]['subtotal'] - base[energy_category_id]['subtotal']) / |
||
| 604 | base[energy_category_id]['subtotal'] |
||
| 605 | if base[energy_category_id]['subtotal'] > 0.0 else None) |
||
| 606 | |||
| 607 | reporting_period_total_production = 0 |
||
| 608 | for date, daily_value in zip(reporting_date_list, reporting_daily_values): |
||
| 609 | reporting_period_total_production += daily_value if daily_value is not None else 0 |
||
| 610 | |||
| 611 | base_period_total_production = 0 |
||
| 612 | for date, daily_value in zip(base_date_list, base_daily_values): |
||
| 613 | base_period_total_production += daily_value if daily_value is not None else 0 |
||
| 614 | |||
| 615 | result['reporting_period']['total_in_kgco2e_per_prodution'] = \ |
||
| 616 | result['reporting_period']['total_in_kgce'] / reporting_period_total_production \ |
||
| 617 | if reporting_period_total_production > 0.0 else None |
||
| 618 | |||
| 619 | result['reporting_period']['increment_rate_in_kgce'] = \ |
||
| 620 | (result['reporting_period']['total_in_kgce'] - result['base_period']['total_in_kgce']) / \ |
||
| 621 | result['base_period']['total_in_kgce'] \ |
||
| 622 | if result['base_period']['total_in_kgce'] > Decimal(0.0) else None |
||
| 623 | |||
| 624 | result['reporting_period']['total_in_kgce_per_prodution'] = \ |
||
| 625 | result['reporting_period']['total_in_kgco2e'] / reporting_period_total_production \ |
||
| 626 | if reporting_period_total_production > 0.0 else None |
||
| 627 | |||
| 628 | result['reporting_period']['increment_rate_in_kgco2e'] = \ |
||
| 629 | (result['reporting_period']['total_in_kgco2e'] - result['base_period']['total_in_kgco2e']) / \ |
||
| 630 | result['base_period']['total_in_kgco2e'] \ |
||
| 631 | if result['base_period']['total_in_kgco2e'] > Decimal(0.0) else None |
||
| 632 | |||
| 633 | rates = list() |
||
| 634 | result['base_production'] = dict() |
||
| 635 | result['base_production']['timestamps'] = base_date_list |
||
| 636 | result['base_production']['values'] = base_daily_values |
||
| 637 | |||
| 638 | result['reporting_production'] = dict() |
||
| 639 | result['reporting_production']['timestamps'] = reporting_date_list |
||
| 640 | result['reporting_production']['values'] = reporting_daily_values |
||
| 641 | for base, reporting in zip(base_daily_values, reporting_daily_values): |
||
| 642 | rate = (reporting - base) / base \ |
||
| 643 | if reporting is not None and base is not None and base > 0 and reporting > 0 else 0 |
||
| 644 | rates.append(rate) |
||
| 645 | result['reporting_production']['rates'] = rates |
||
| 646 | |||
| 647 | result['reporting_result_values'] = reporting_result_values |
||
| 648 | result['reporting_total_production'] = reporting_period_total_production |
||
| 649 | result['base_result_values'] = base_result_values |
||
| 650 | result['base_total_production'] = base_period_total_production |
||
| 651 | result['product'] = product_dict |
||
| 652 | resp.text = json.dumps(result) |
||
| 653 |
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