MyEMS /
myems
| Conditions | 111 |
| Total Lines | 636 |
| Code Lines | 450 |
| Lines | 636 |
| Ratio | 100 % |
| 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.microgridreportingcarbon.Reporting.on_get() often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | import re |
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| 40 | @staticmethod |
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| 41 | def on_get(req, resp): |
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| 42 | if 'API-KEY' not in req.headers or \ |
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| 43 | not isinstance(req.headers['API-KEY'], str) or \ |
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| 44 | len(str.strip(req.headers['API-KEY'])) == 0: |
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| 45 | access_control(req) |
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| 46 | else: |
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| 47 | api_key_control(req) |
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| 48 | print(req.params) |
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| 49 | # this procedure accepts microgrid id or |
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| 50 | # microgrid uuid to identify a microgrid |
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| 51 | microgrid_id = req.params.get('id') |
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| 52 | microgrid_uuid = req.params.get('uuid') |
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| 53 | period_type = req.params.get('periodtype') |
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| 54 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 55 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 56 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 57 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 58 | language = req.params.get('language') |
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| 59 | quick_mode = req.params.get('quickmode') |
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| 60 | |||
| 61 | ################################################################################################################ |
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| 62 | # Step 1: valid parameters |
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| 63 | ################################################################################################################ |
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| 64 | if microgrid_id is None and microgrid_uuid is None: |
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| 65 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 66 | description='API.INVALID_MICROGRID_ID') |
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| 67 | |||
| 68 | if microgrid_id is not None: |
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| 69 | microgrid_id = str.strip(microgrid_id) |
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| 70 | if not microgrid_id.isdigit() or int(microgrid_id) <= 0: |
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| 71 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 72 | description='API.INVALID_MICROGRID_ID') |
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| 73 | |||
| 74 | if microgrid_uuid is not None: |
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| 75 | regex = re.compile(r'^[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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| 76 | match = regex.match(str.strip(microgrid_uuid)) |
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| 77 | if not bool(match): |
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| 78 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 79 | description='API.INVALID_MICROGRID_UUID') |
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| 80 | |||
| 81 | if period_type is None: |
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| 82 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 83 | description='API.INVALID_PERIOD_TYPE') |
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| 84 | else: |
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| 85 | period_type = str.strip(period_type) |
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| 86 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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| 87 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 88 | description='API.INVALID_PERIOD_TYPE') |
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| 89 | |||
| 90 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 91 | if config.utc_offset[0] == '-': |
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| 92 | timezone_offset = -timezone_offset |
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| 93 | |||
| 94 | base_start_datetime_utc = None |
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| 95 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
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| 96 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
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| 97 | try: |
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| 98 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 99 | except ValueError: |
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| 100 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 101 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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| 102 | base_start_datetime_utc = \ |
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| 103 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 104 | # nomalize the start datetime |
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| 105 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
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| 106 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 107 | else: |
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| 108 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 109 | |||
| 110 | base_end_datetime_utc = None |
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| 111 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
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| 112 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
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| 113 | try: |
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| 114 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 115 | except ValueError: |
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| 116 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 117 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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| 118 | base_end_datetime_utc = \ |
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| 119 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 120 | |||
| 121 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 122 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 123 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 124 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 125 | |||
| 126 | if reporting_period_start_datetime_local is None: |
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| 127 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 128 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 129 | else: |
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| 130 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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| 131 | try: |
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| 132 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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| 133 | '%Y-%m-%dT%H:%M:%S') |
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| 134 | except ValueError: |
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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_START_DATETIME") |
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| 137 | reporting_start_datetime_utc = \ |
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| 138 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 139 | # nomalize the start datetime |
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| 140 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
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| 141 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 142 | else: |
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| 143 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 144 | |||
| 145 | if reporting_period_end_datetime_local is None: |
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| 146 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 147 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 148 | else: |
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| 149 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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| 150 | try: |
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| 151 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
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| 152 | '%Y-%m-%dT%H:%M:%S') |
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| 153 | except ValueError: |
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| 154 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 155 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 156 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 157 | timedelta(minutes=timezone_offset) |
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| 158 | |||
| 159 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 160 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 161 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 162 | |||
| 163 | # if turn quick mode on, do not return parameters data and excel file |
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| 164 | is_quick_mode = False |
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| 165 | if quick_mode is not None and \ |
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| 166 | len(str.strip(quick_mode)) > 0 and \ |
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| 167 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
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| 168 | is_quick_mode = True |
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| 169 | |||
| 170 | trans = utilities.get_translation(language) |
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| 171 | trans.install() |
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| 172 | _ = trans.gettext |
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| 173 | |||
| 174 | ################################################################################################################ |
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| 175 | # Step 2: query the microgrid |
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| 176 | ################################################################################################################ |
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| 177 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 178 | cursor_system = cnx_system.cursor() |
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| 179 | |||
| 180 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 181 | cursor_historical = cnx_historical.cursor() |
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| 182 | |||
| 183 | cnx_carbon = mysql.connector.connect(**config.myems_carbon_db) |
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| 184 | cursor_carbon = cnx_carbon.cursor() |
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| 185 | |||
| 186 | # query all contacts in system |
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| 187 | query = (" SELECT id, name, uuid " |
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| 188 | " FROM tbl_contacts ") |
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| 189 | cursor_system.execute(query) |
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| 190 | rows_contacts = cursor_system.fetchall() |
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| 191 | |||
| 192 | contact_dict = dict() |
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| 193 | if rows_contacts is not None and len(rows_contacts) > 0: |
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| 194 | for row in rows_contacts: |
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| 195 | contact_dict[row[0]] = {"id": row[0], |
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| 196 | "name": row[1], |
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| 197 | "uuid": row[2]} |
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| 198 | # query all cost centers in system |
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| 199 | query = (" SELECT id, name, uuid " |
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| 200 | " FROM tbl_cost_centers ") |
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| 201 | cursor_system.execute(query) |
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| 202 | rows_cost_centers = cursor_system.fetchall() |
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| 203 | |||
| 204 | cost_center_dict = dict() |
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| 205 | if rows_cost_centers is not None and len(rows_cost_centers) > 0: |
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| 206 | for row in rows_cost_centers: |
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| 207 | cost_center_dict[row[0]] = {"id": row[0], |
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| 208 | "name": row[1], |
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| 209 | "uuid": row[2]} |
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| 210 | |||
| 211 | # query all energy categories in system |
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| 212 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
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| 213 | " FROM tbl_energy_categories " |
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| 214 | " ORDER BY id ", ) |
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| 215 | rows_energy_categories = cursor_system.fetchall() |
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| 216 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
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| 217 | if cursor_system: |
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| 218 | cursor_system.close() |
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| 219 | if cnx_system: |
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| 220 | cnx_system.close() |
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| 221 | raise falcon.HTTPError(status=falcon.HTTP_404, |
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| 222 | title='API.NOT_FOUND', |
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| 223 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
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| 224 | energy_category_dict = dict() |
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| 225 | for row_energy_category in rows_energy_categories: |
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| 226 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
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| 227 | "unit_of_measure": row_energy_category[2], |
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| 228 | "kgce": row_energy_category[3], |
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| 229 | "kgco2e": row_energy_category[4]} |
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| 230 | |||
| 231 | if microgrid_id is not None: |
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| 232 | query = (" SELECT id, name, uuid, " |
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| 233 | " address, postal_code, latitude, longitude, rated_capacity, rated_power, " |
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| 234 | " contact_id, cost_center_id " |
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| 235 | " FROM tbl_microgrids " |
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| 236 | " WHERE id = %s ") |
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| 237 | cursor_system.execute(query, (microgrid_id,)) |
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| 238 | row = cursor_system.fetchone() |
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| 239 | elif microgrid_uuid is not None: |
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| 240 | query = (" SELECT id, name, uuid, " |
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| 241 | " address, postal_code, latitude, longitude, rated_capacity, rated_power, " |
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| 242 | " contact_id, cost_center_id " |
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| 243 | " FROM tbl_microgrids " |
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| 244 | " WHERE uuid = %s ") |
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| 245 | cursor_system.execute(query, (microgrid_uuid,)) |
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| 246 | row = cursor_system.fetchone() |
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| 247 | |||
| 248 | if row is None: |
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| 249 | cursor_system.close() |
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| 250 | cnx_system.close() |
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| 251 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
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| 252 | description='API.MICROGRID_NOT_FOUND') |
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| 253 | else: |
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| 254 | microgrid_id = row[0] |
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| 255 | meta_result = {"id": row[0], |
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| 256 | "name": row[1], |
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| 257 | "uuid": row[2], |
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| 258 | "address": row[3], |
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| 259 | "postal_code": row[4], |
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| 260 | "latitude": row[5], |
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| 261 | "longitude": row[6], |
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| 262 | "rated_capacity": row[7], |
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| 263 | "rated_power": row[8], |
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| 264 | "contact": contact_dict.get(row[9], None), |
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| 265 | "cost_center": cost_center_dict.get(row[10], None), |
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| 266 | "qrcode": 'microgrid:' + row[2]} |
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| 267 | |||
| 268 | point_list = list() |
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| 269 | meter_list = list() |
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| 270 | |||
| 271 | ################################################################################################################ |
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| 272 | # Step 4: query associated batteries data |
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| 273 | ################################################################################################################ |
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| 274 | cursor_system.execute(" SELECT p.id, mb.name, p.units, p.object_type " |
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| 275 | " FROM tbl_microgrids_batteries mb, tbl_points p " |
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| 276 | " WHERE mb.microgrid_id = %s AND mb.soc_point_id = p.id ", |
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| 277 | (microgrid_id,)) |
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| 278 | row_point = cursor_system.fetchone() |
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| 279 | if row_point is not None: |
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| 280 | point_list.append({"id": row_point[0], |
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| 281 | "name": row_point[1] + '.SOC', |
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| 282 | "units": row_point[2], |
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| 283 | "object_type": row_point[3]}) |
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| 284 | |||
| 285 | cursor_system.execute(" SELECT p.id, mb.name, p.units, p.object_type " |
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| 286 | " FROM tbl_microgrids_batteries mb, tbl_points p " |
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| 287 | " WHERE mb.microgrid_id = %s AND mb.power_point_id = p.id ", |
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| 288 | (microgrid_id,)) |
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| 289 | row_point = cursor_system.fetchone() |
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| 290 | if row_point is not None: |
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| 291 | point_list.append({"id": row_point[0], |
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| 292 | "name": row_point[1]+'.P', |
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| 293 | "units": row_point[2], |
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| 294 | "object_type": row_point[3]}) |
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| 295 | |||
| 296 | cursor_system.execute(" SELECT m.id, mb.name, m.energy_category_id " |
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| 297 | " FROM tbl_microgrids_batteries mb, tbl_meters m " |
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| 298 | " WHERE mb.microgrid_id = %s AND mb.charge_meter_id = m.id ", |
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| 299 | (microgrid_id,)) |
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| 300 | row_meter = cursor_system.fetchone() |
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| 301 | if row_meter is not None: |
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| 302 | meter_list.append({"id": row_meter[0], |
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| 303 | "name": row_meter[1] + '-Charge', |
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| 304 | "energy_category_id": row_meter[2]}) |
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| 305 | |||
| 306 | cursor_system.execute(" SELECT m.id, mb.name, m.energy_category_id " |
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| 307 | " FROM tbl_microgrids_batteries mb, tbl_meters m " |
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| 308 | " WHERE mb.microgrid_id = %s AND mb.discharge_meter_id = m.id ", |
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| 309 | (microgrid_id,)) |
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| 310 | row_meter = cursor_system.fetchone() |
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| 311 | if row_meter is not None: |
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| 312 | meter_list.append({"id": row_meter[0], |
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| 313 | "name": row_meter[1] + '-Discharge', |
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| 314 | "energy_category_id": row_meter[2]}) |
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| 315 | |||
| 316 | ################################################################################################################ |
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| 317 | # Step 4: query associated ev chargers |
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| 318 | ################################################################################################################ |
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| 319 | |||
| 320 | ################################################################################################################ |
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| 321 | # Step 5: query associated generators |
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| 322 | ################################################################################################################ |
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| 323 | |||
| 324 | ################################################################################################################ |
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| 325 | # Step 6: query associated grids |
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| 326 | ################################################################################################################ |
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| 327 | cursor_system.execute(" SELECT p.id, mg.name, p.units, p.object_type " |
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| 328 | " FROM tbl_microgrids_grids mg, tbl_points p " |
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| 329 | " WHERE mg.microgrid_id = %s AND mg.power_point_id = p.id ", |
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| 330 | (microgrid_id,)) |
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| 331 | row_point = cursor_system.fetchone() |
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| 332 | if row_point is not None: |
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| 333 | point_list.append({"id": row_point[0], |
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| 334 | "name": row_point[1]+'.P', |
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| 335 | "units": row_point[2], |
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| 336 | "object_type": row_point[3]}) |
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| 337 | |||
| 338 | cursor_system.execute(" SELECT m.id, mg.name, m.energy_category_id " |
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| 339 | " FROM tbl_microgrids_grids mg, tbl_meters m " |
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| 340 | " WHERE mg.microgrid_id = %s AND mg.buy_meter_id = m.id ", |
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| 341 | (microgrid_id,)) |
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| 342 | row_meter = cursor_system.fetchone() |
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| 343 | if row_meter is not None: |
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| 344 | meter_list.append({"id": row_meter[0], |
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| 345 | "name": row_meter[1] + '-Buy', |
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| 346 | "energy_category_id": row_meter[2]}) |
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| 347 | |||
| 348 | cursor_system.execute(" SELECT m.id, mg.name, m.energy_category_id " |
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| 349 | " FROM tbl_microgrids_grids mg, tbl_meters m " |
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| 350 | " WHERE mg.microgrid_id = %s AND mg.sell_meter_id = m.id ", |
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| 351 | (microgrid_id,)) |
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| 352 | row_meter = cursor_system.fetchone() |
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| 353 | if row_meter is not None: |
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| 354 | meter_list.append({"id": row_meter[0], |
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| 355 | "name": row_meter[1] + '-Sell', |
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| 356 | "energy_category_id": row_meter[2]}) |
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| 357 | |||
| 358 | ################################################################################################################ |
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| 359 | # Step 7: query associated heat pumps |
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| 360 | ################################################################################################################ |
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| 361 | |||
| 362 | ################################################################################################################ |
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| 363 | # Step 8: query associated loads |
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| 364 | ################################################################################################################ |
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| 365 | cursor_system.execute(" SELECT p.id, ml.name, p.units, p.object_type " |
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| 366 | " FROM tbl_microgrids_loads ml, tbl_points p " |
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| 367 | " WHERE ml.microgrid_id = %s AND ml.power_point_id = p.id ", |
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| 368 | (microgrid_id,)) |
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| 369 | row_point = cursor_system.fetchone() |
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| 370 | if row_point is not None: |
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| 371 | point_list.append({"id": row_point[0], |
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| 372 | "name": row_point[1]+'.P', |
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| 373 | "units": row_point[2], |
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| 374 | "object_type": row_point[3]}) |
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| 375 | |||
| 376 | cursor_system.execute(" SELECT m.id, ml.name, m.energy_category_id " |
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| 377 | " FROM tbl_microgrids_loads ml, tbl_meters m " |
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| 378 | " WHERE ml.microgrid_id = %s AND ml.meter_id = m.id ", |
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| 379 | (microgrid_id,)) |
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| 380 | row_meter = cursor_system.fetchone() |
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| 381 | if row_meter is not None: |
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| 382 | meter_list.append({"id": row_meter[0], |
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| 383 | "name": row_meter[1], |
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| 384 | "energy_category_id": row_meter[2]}) |
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| 385 | |||
| 386 | ################################################################################################################ |
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| 387 | # Step 9: query associated photovoltaics |
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| 388 | ################################################################################################################ |
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| 389 | # todo |
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| 390 | |||
| 391 | ################################################################################################################ |
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| 392 | # Step 10: query associated power conversion systems |
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| 393 | ################################################################################################################ |
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| 394 | # todo |
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| 395 | |||
| 396 | ################################################################################################################ |
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| 397 | # Step 11: query associated sensors |
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| 398 | ################################################################################################################ |
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| 399 | # todo |
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| 400 | |||
| 401 | ################################################################################################################ |
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| 402 | # Step 12: query associated meters data |
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| 403 | ################################################################################################################ |
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| 404 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 405 | if config.utc_offset[0] == '-': |
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| 406 | timezone_offset = -timezone_offset |
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| 407 | |||
| 408 | meter_base_list = list() |
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| 409 | |||
| 410 | for meter in meter_list: |
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| 411 | cursor_carbon.execute(" SELECT start_datetime_utc, actual_value " |
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| 412 | " FROM tbl_meter_hourly " |
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| 413 | " WHERE meter_id = %s " |
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| 414 | " AND start_datetime_utc >= %s " |
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| 415 | " AND start_datetime_utc < %s " |
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| 416 | " ORDER BY start_datetime_utc ", |
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| 417 | (meter['id'], |
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| 418 | base_start_datetime_utc, |
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| 419 | base_end_datetime_utc)) |
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| 420 | rows_meter_hourly = cursor_carbon.fetchall() |
||
| 421 | |||
| 422 | if rows_meter_hourly is not None and len(rows_meter_hourly) > 0: |
||
| 423 | print('rows_meter_hourly:' + str(rows_meter_hourly)) |
||
| 424 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
||
| 425 | base_start_datetime_utc, |
||
| 426 | base_end_datetime_utc, |
||
| 427 | period_type) |
||
| 428 | print('rows_meter_periodically:' + str(rows_meter_periodically)) |
||
| 429 | meter_report = dict() |
||
| 430 | meter_report['timestamps'] = list() |
||
| 431 | meter_report['values'] = list() |
||
| 432 | meter_report['subtotal'] = Decimal(0.0) |
||
| 433 | |||
| 434 | for row_meter_periodically in rows_meter_periodically: |
||
| 435 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 436 | timedelta(minutes=timezone_offset) |
||
| 437 | if period_type == 'hourly': |
||
| 438 | current_datetime = current_datetime_local.isoformat()[0:19] |
||
| 439 | elif period_type == 'daily': |
||
| 440 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 441 | elif period_type == 'weekly': |
||
| 442 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 443 | elif period_type == 'monthly': |
||
| 444 | current_datetime = current_datetime_local.isoformat()[0:7] |
||
| 445 | elif period_type == 'yearly': |
||
| 446 | current_datetime = current_datetime_local.isoformat()[0:4] |
||
| 447 | |||
| 448 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
||
| 449 | |||
| 450 | meter_report['timestamps'].append(current_datetime) |
||
| 451 | meter_report['values'].append(actual_value) |
||
| 452 | meter_report['subtotal'] += actual_value |
||
| 453 | meter_report['name'] = meter['name'] |
||
| 454 | meter_report['unit_of_measure'] = \ |
||
| 455 | energy_category_dict[meter['energy_category_id']]['unit_of_measure'] |
||
| 456 | |||
| 457 | meter_base_list.append(meter_report) |
||
| 458 | |||
| 459 | meter_reporting_list = list() |
||
| 460 | |||
| 461 | for meter in meter_list: |
||
| 462 | cursor_carbon.execute(" SELECT start_datetime_utc, actual_value " |
||
| 463 | " FROM tbl_meter_hourly " |
||
| 464 | " WHERE meter_id = %s " |
||
| 465 | " AND start_datetime_utc >= %s " |
||
| 466 | " AND start_datetime_utc < %s " |
||
| 467 | " ORDER BY start_datetime_utc ", |
||
| 468 | (meter['id'], |
||
| 469 | reporting_start_datetime_utc, |
||
| 470 | reporting_end_datetime_utc)) |
||
| 471 | rows_meter_hourly = cursor_carbon.fetchall() |
||
| 472 | if rows_meter_hourly is not None and len(rows_meter_hourly) > 0: |
||
| 473 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
||
| 474 | reporting_start_datetime_utc, |
||
| 475 | reporting_end_datetime_utc, |
||
| 476 | period_type) |
||
| 477 | meter_report = dict() |
||
| 478 | meter_report['timestamps'] = list() |
||
| 479 | meter_report['values'] = list() |
||
| 480 | meter_report['subtotal'] = Decimal(0.0) |
||
| 481 | |||
| 482 | for row_meter_periodically in rows_meter_periodically: |
||
| 483 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 484 | timedelta(minutes=timezone_offset) |
||
| 485 | if period_type == 'hourly': |
||
| 486 | current_datetime = current_datetime_local.isoformat()[0:19] |
||
| 487 | elif period_type == 'daily': |
||
| 488 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 489 | elif period_type == 'weekly': |
||
| 490 | current_datetime = current_datetime_local.isoformat()[0:10] |
||
| 491 | elif period_type == 'monthly': |
||
| 492 | current_datetime = current_datetime_local.isoformat()[0:7] |
||
| 493 | elif period_type == 'yearly': |
||
| 494 | current_datetime = current_datetime_local.isoformat()[0:4] |
||
| 495 | |||
| 496 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
||
| 497 | |||
| 498 | meter_report['timestamps'].append(current_datetime) |
||
| 499 | meter_report['values'].append(actual_value) |
||
| 500 | meter_report['subtotal'] += actual_value |
||
| 501 | meter_report['name'] = meter['name'] |
||
| 502 | meter_report['unit_of_measure'] = \ |
||
| 503 | energy_category_dict[meter['energy_category_id']]['unit_of_measure'] |
||
| 504 | |||
| 505 | meter_reporting_list.append(meter_report) |
||
| 506 | |||
| 507 | ################################################################################################################ |
||
| 508 | # Step 13: query associated points data |
||
| 509 | ################################################################################################################ |
||
| 510 | |||
| 511 | parameters_data = dict() |
||
| 512 | parameters_data['names'] = list() |
||
| 513 | parameters_data['timestamps'] = list() |
||
| 514 | parameters_data['values'] = list() |
||
| 515 | |||
| 516 | for point in point_list: |
||
| 517 | point_values = [] |
||
| 518 | point_timestamps = [] |
||
| 519 | if point['object_type'] == 'ENERGY_VALUE': |
||
| 520 | query = (" SELECT utc_date_time, actual_value " |
||
| 521 | " FROM tbl_energy_value " |
||
| 522 | " WHERE point_id = %s " |
||
| 523 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 524 | " ORDER BY utc_date_time ") |
||
| 525 | cursor_historical.execute(query, (point['id'], |
||
| 526 | reporting_start_datetime_utc, |
||
| 527 | reporting_end_datetime_utc)) |
||
| 528 | rows = cursor_historical.fetchall() |
||
| 529 | |||
| 530 | if rows is not None and len(rows) > 0: |
||
| 531 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
||
| 532 | timedelta(minutes=timezone_offset) |
||
| 533 | current_datetime_local = reporting_start_datetime_local |
||
| 534 | |||
| 535 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
||
| 536 | timedelta(minutes=timezone_offset): |
||
| 537 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
||
| 538 | point_values.append(rows[0][1]) |
||
| 539 | current_datetime_local += timedelta(minutes=1) |
||
| 540 | |||
| 541 | for index in range(len(rows) - 1): |
||
| 542 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
||
| 543 | timedelta(minutes=timezone_offset): |
||
| 544 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
||
| 545 | point_values.append(rows[index][1]) |
||
| 546 | current_datetime_local += timedelta(minutes=1) |
||
| 547 | elif point['object_type'] == 'ANALOG_VALUE': |
||
| 548 | query = (" SELECT utc_date_time, actual_value " |
||
| 549 | " FROM tbl_analog_value " |
||
| 550 | " WHERE point_id = %s " |
||
| 551 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 552 | " ORDER BY utc_date_time ") |
||
| 553 | cursor_historical.execute(query, (point['id'], |
||
| 554 | reporting_start_datetime_utc, |
||
| 555 | reporting_end_datetime_utc)) |
||
| 556 | rows = cursor_historical.fetchall() |
||
| 557 | |||
| 558 | if rows is not None and len(rows) > 0: |
||
| 559 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
||
| 560 | timedelta(minutes=timezone_offset) |
||
| 561 | current_datetime_local = reporting_start_datetime_local |
||
| 562 | |||
| 563 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
||
| 564 | timedelta(minutes=timezone_offset): |
||
| 565 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
||
| 566 | point_values.append(rows[0][1]) |
||
| 567 | current_datetime_local += timedelta(minutes=1) |
||
| 568 | |||
| 569 | for index in range(len(rows) - 1): |
||
| 570 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
||
| 571 | timedelta(minutes=timezone_offset): |
||
| 572 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
||
| 573 | point_values.append(rows[index][1]) |
||
| 574 | current_datetime_local += timedelta(minutes=1) |
||
| 575 | elif point['object_type'] == 'DIGITAL_VALUE': |
||
| 576 | query = (" SELECT utc_date_time, actual_value " |
||
| 577 | " FROM tbl_digital_value " |
||
| 578 | " WHERE point_id = %s " |
||
| 579 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 580 | " ORDER BY utc_date_time ") |
||
| 581 | cursor_historical.execute(query, (point['id'], |
||
| 582 | reporting_start_datetime_utc, |
||
| 583 | reporting_end_datetime_utc)) |
||
| 584 | rows = cursor_historical.fetchall() |
||
| 585 | |||
| 586 | if rows is not None and len(rows) > 0: |
||
| 587 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
||
| 588 | timedelta(minutes=timezone_offset) |
||
| 589 | current_datetime_local = reporting_start_datetime_local |
||
| 590 | |||
| 591 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
||
| 592 | timedelta(minutes=timezone_offset): |
||
| 593 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
||
| 594 | point_values.append(rows[0][1]) |
||
| 595 | current_datetime_local += timedelta(minutes=1) |
||
| 596 | |||
| 597 | for index in range(len(rows) - 1): |
||
| 598 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
||
| 599 | timedelta(minutes=timezone_offset): |
||
| 600 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
||
| 601 | point_values.append(rows[index][1]) |
||
| 602 | current_datetime_local += timedelta(minutes=1) |
||
| 603 | |||
| 604 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
||
| 605 | parameters_data['timestamps'].append(point_timestamps) |
||
| 606 | parameters_data['values'].append(point_values) |
||
| 607 | |||
| 608 | if cursor_system: |
||
| 609 | cursor_system.close() |
||
| 610 | if cnx_system: |
||
| 611 | cnx_system.close() |
||
| 612 | |||
| 613 | if cursor_carbon: |
||
| 614 | cursor_carbon.close() |
||
| 615 | if cnx_carbon: |
||
| 616 | cnx_carbon.close() |
||
| 617 | |||
| 618 | if cursor_historical: |
||
| 619 | cursor_historical.close() |
||
| 620 | if cnx_historical: |
||
| 621 | cnx_historical.close() |
||
| 622 | ################################################################################################################ |
||
| 623 | # Step 14: construct the report |
||
| 624 | ################################################################################################################ |
||
| 625 | result = dict() |
||
| 626 | result['microgrid'] = meta_result |
||
| 627 | result['parameters'] = { |
||
| 628 | "names": parameters_data['names'], |
||
| 629 | "timestamps": parameters_data['timestamps'], |
||
| 630 | "values": parameters_data['values'] |
||
| 631 | } |
||
| 632 | result['base_period'] = dict() |
||
| 633 | result['base_period']['names'] = list() |
||
| 634 | result['base_period']['units'] = list() |
||
| 635 | result['base_period']['timestamps'] = list() |
||
| 636 | result['base_period']['values'] = list() |
||
| 637 | result['base_period']['subtotals'] = list() |
||
| 638 | |||
| 639 | if meter_base_list is not None and len(meter_base_list) > 0: |
||
| 640 | for meter_report in meter_base_list: |
||
| 641 | result['base_period']['names'].append(meter_report['name']) |
||
| 642 | result['base_period']['units'].append(meter_report['unit_of_measure']) |
||
| 643 | result['base_period']['timestamps'].append(meter_report['timestamps']) |
||
| 644 | result['base_period']['values'].append(meter_report['values']) |
||
| 645 | result['base_period']['subtotals'].append(meter_report['subtotal']) |
||
| 646 | |||
| 647 | result['reporting_period'] = dict() |
||
| 648 | result['reporting_period']['names'] = list() |
||
| 649 | result['reporting_period']['units'] = list() |
||
| 650 | result['reporting_period']['subtotals'] = list() |
||
| 651 | result['reporting_period']['increment_rates'] = list() |
||
| 652 | result['reporting_period']['timestamps'] = list() |
||
| 653 | result['reporting_period']['values'] = list() |
||
| 654 | |||
| 655 | if meter_reporting_list is not None and len(meter_reporting_list) > 0: |
||
| 656 | for meter_report in meter_reporting_list: |
||
| 657 | result['reporting_period']['names'].append(meter_report['name']) |
||
| 658 | result['reporting_period']['units'].append(meter_report['unit_of_measure']) |
||
| 659 | result['reporting_period']['timestamps'].append(meter_report['timestamps']) |
||
| 660 | result['reporting_period']['values'].append(meter_report['values']) |
||
| 661 | result['reporting_period']['subtotals'].append(meter_report['subtotal']) |
||
| 662 | |||
| 663 | # export result to Excel file and then encode the file to base64 string |
||
| 664 | if not is_quick_mode: |
||
| 665 | result['excel_bytes_base64'] = \ |
||
| 666 | excelexporters.microgridreportingcarbon.\ |
||
| 667 | export(result, |
||
| 668 | result['microgrid']['name'], |
||
| 669 | reporting_period_start_datetime_local, |
||
| 670 | reporting_period_end_datetime_local, |
||
| 671 | base_period_start_datetime_local, |
||
| 672 | base_period_end_datetime_local, |
||
| 673 | period_type, |
||
| 674 | language) |
||
| 675 | resp.text = json.dumps(result) |
||
| 676 |
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