MyEMS /
myems
| @@ 11-951 (lines=941) @@ | ||
| 8 | from core.useractivity import access_control, api_key_control |
|
| 9 | ||
| 10 | ||
| 11 | class Reporting: |
|
| 12 | def __init__(self): |
|
| 13 | """Initializes Class""" |
|
| 14 | pass |
|
| 15 | ||
| 16 | @staticmethod |
|
| 17 | def on_options(req, resp): |
|
| 18 | _ = req |
|
| 19 | resp.status = falcon.HTTP_200 |
|
| 20 | ||
| 21 | #################################################################################################################### |
|
| 22 | # PROCEDURES |
|
| 23 | # Step 1: valid parameters |
|
| 24 | # Step 2: query the space |
|
| 25 | # Step 3: query energy categories |
|
| 26 | # Step 4: query sensor data |
|
| 27 | # Step 5: query child spaces |
|
| 28 | # Step 6: query base period energy input |
|
| 29 | # Step 7: query base period energy cost |
|
| 30 | # Step 8: query reporting period energy input |
|
| 31 | # Step 9: query reporting period energy cost |
|
| 32 | # Step 10: query child spaces energy input |
|
| 33 | # Step 10: query child spaces energy cost |
|
| 34 | # Step 12: construct the report |
|
| 35 | #################################################################################################################### |
|
| 36 | @staticmethod |
|
| 37 | def on_get(req, resp): |
|
| 38 | # todo: change this procedure from space to store |
|
| 39 | if 'API-KEY' not in req.headers or \ |
|
| 40 | not isinstance(req.headers['API-KEY'], str) or \ |
|
| 41 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
| 42 | access_control(req) |
|
| 43 | else: |
|
| 44 | api_key_control(req) |
|
| 45 | user_uuid = req.params.get('useruuid') |
|
| 46 | period_type = req.params.get('periodtype') |
|
| 47 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
| 48 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
| 49 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
| 50 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
| 51 | ||
| 52 | ################################################################################################################ |
|
| 53 | # Step 1: valid parameters |
|
| 54 | ################################################################################################################ |
|
| 55 | if user_uuid is None: |
|
| 56 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_USER_UUID') |
|
| 57 | else: |
|
| 58 | user_uuid = str.strip(user_uuid) |
|
| 59 | if len(user_uuid) != 36: |
|
| 60 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 61 | description='API.INVALID_USER_UUID') |
|
| 62 | ||
| 63 | if period_type is None: |
|
| 64 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 65 | description='API.INVALID_PERIOD_TYPE') |
|
| 66 | else: |
|
| 67 | period_type = str.strip(period_type) |
|
| 68 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
| 69 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 70 | description='API.INVALID_PERIOD_TYPE') |
|
| 71 | ||
| 72 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 73 | if config.utc_offset[0] == '-': |
|
| 74 | timezone_offset = -timezone_offset |
|
| 75 | ||
| 76 | base_start_datetime_utc = None |
|
| 77 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
| 78 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
| 79 | try: |
|
| 80 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 81 | except ValueError: |
|
| 82 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 83 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 84 | base_start_datetime_utc = \ |
|
| 85 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 86 | # nomalize the start datetime |
|
| 87 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
| 88 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 89 | else: |
|
| 90 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 91 | ||
| 92 | base_end_datetime_utc = None |
|
| 93 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
| 94 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
| 95 | try: |
|
| 96 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 97 | except ValueError: |
|
| 98 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 99 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 100 | base_end_datetime_utc = \ |
|
| 101 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 102 | ||
| 103 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 104 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 105 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 106 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 107 | ||
| 108 | if reporting_period_start_datetime_local is None: |
|
| 109 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 110 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 111 | else: |
|
| 112 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
| 113 | try: |
|
| 114 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
| 115 | '%Y-%m-%dT%H:%M:%S') |
|
| 116 | except ValueError: |
|
| 117 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 118 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 119 | reporting_start_datetime_utc = \ |
|
| 120 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 121 | # nomalize the start datetime |
|
| 122 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
| 123 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 124 | else: |
|
| 125 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 126 | ||
| 127 | if reporting_period_end_datetime_local is None: |
|
| 128 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 129 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 130 | else: |
|
| 131 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
| 132 | try: |
|
| 133 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
| 134 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 135 | timedelta(minutes=timezone_offset) |
|
| 136 | except ValueError: |
|
| 137 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 138 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 139 | ||
| 140 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 141 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 142 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 143 | ||
| 144 | ################################################################################################################ |
|
| 145 | # Step 2: query the space |
|
| 146 | ################################################################################################################ |
|
| 147 | ||
| 148 | cnx_user = mysql.connector.connect(**config.myems_user_db) |
|
| 149 | cursor_user = cnx_user.cursor() |
|
| 150 | ||
| 151 | cursor_user.execute(" SELECT id, is_admin, privilege_id " |
|
| 152 | " FROM tbl_users " |
|
| 153 | " WHERE uuid = %s ", (user_uuid,)) |
|
| 154 | row_user = cursor_user.fetchone() |
|
| 155 | if row_user is None: |
|
| 156 | if cursor_user: |
|
| 157 | cursor_user.close() |
|
| 158 | if cnx_user: |
|
| 159 | cnx_user.close() |
|
| 160 | ||
| 161 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 162 | description='API.USER_NOT_FOUND') |
|
| 163 | ||
| 164 | user = {'id': row_user[0], 'is_admin': row_user[1], 'privilege_id': row_user[2]} |
|
| 165 | if user['is_admin']: |
|
| 166 | # todo: make sure the space id is always 1 for admin |
|
| 167 | space_id = 1 |
|
| 168 | else: |
|
| 169 | cursor_user.execute(" SELECT data " |
|
| 170 | " FROM tbl_privileges " |
|
| 171 | " WHERE id = %s ", (user['privilege_id'],)) |
|
| 172 | row_privilege = cursor_user.fetchone() |
|
| 173 | if row_privilege is None: |
|
| 174 | if cursor_user: |
|
| 175 | cursor_user.close() |
|
| 176 | if cnx_user: |
|
| 177 | cnx_user.close() |
|
| 178 | ||
| 179 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 180 | description='API.USER_PRIVILEGE_NOT_FOUND') |
|
| 181 | ||
| 182 | privilege_data = json.loads(row_privilege[0]) |
|
| 183 | if 'spaces' not in privilege_data.keys() \ |
|
| 184 | or privilege_data['spaces'] is None \ |
|
| 185 | or len(privilege_data['spaces']) == 0: |
|
| 186 | if cursor_user: |
|
| 187 | cursor_user.close() |
|
| 188 | if cnx_user: |
|
| 189 | cnx_user.close() |
|
| 190 | ||
| 191 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 192 | description='API.USER_PRIVILEGE_NOT_FOUND') |
|
| 193 | # todo: how to deal with multiple spaces in privilege data |
|
| 194 | space_id = privilege_data['spaces'][0] |
|
| 195 | ||
| 196 | if cursor_user: |
|
| 197 | cursor_user.close() |
|
| 198 | if cnx_user: |
|
| 199 | cnx_user.close() |
|
| 200 | ||
| 201 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 202 | cursor_system = cnx_system.cursor() |
|
| 203 | ||
| 204 | cursor_system.execute(" SELECT id, name, area, cost_center_id " |
|
| 205 | " FROM tbl_spaces " |
|
| 206 | " WHERE id = %s ", (space_id,)) |
|
| 207 | row_space = cursor_system.fetchone() |
|
| 208 | if row_space is None: |
|
| 209 | if cursor_system: |
|
| 210 | cursor_system.close() |
|
| 211 | if cnx_system: |
|
| 212 | cnx_system.close() |
|
| 213 | ||
| 214 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', description='API.SPACE_NOT_FOUND') |
|
| 215 | ||
| 216 | space = dict() |
|
| 217 | space['id'] = row_space[0] |
|
| 218 | space['name'] = row_space[1] |
|
| 219 | space['area'] = row_space[2] |
|
| 220 | space['cost_center_id'] = row_space[3] |
|
| 221 | ||
| 222 | ################################################################################################################ |
|
| 223 | # Step 3: query energy categories |
|
| 224 | ################################################################################################################ |
|
| 225 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
| 226 | cursor_energy = cnx_energy.cursor() |
|
| 227 | ||
| 228 | cnx_billing = mysql.connector.connect(**config.myems_billing_db) |
|
| 229 | cursor_billing = cnx_billing.cursor() |
|
| 230 | ||
| 231 | energy_category_set = set() |
|
| 232 | # query energy categories in base period |
|
| 233 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 234 | " FROM tbl_space_input_category_hourly " |
|
| 235 | " WHERE space_id = %s " |
|
| 236 | " AND start_datetime_utc >= %s " |
|
| 237 | " AND start_datetime_utc < %s ", |
|
| 238 | (space['id'], base_start_datetime_utc, base_end_datetime_utc)) |
|
| 239 | rows_energy_categories = cursor_energy.fetchall() |
|
| 240 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 241 | for row_energy_category in rows_energy_categories: |
|
| 242 | energy_category_set.add(row_energy_category[0]) |
|
| 243 | ||
| 244 | # query energy categories in reporting period |
|
| 245 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 246 | " FROM tbl_space_input_category_hourly " |
|
| 247 | " WHERE space_id = %s " |
|
| 248 | " AND start_datetime_utc >= %s " |
|
| 249 | " AND start_datetime_utc < %s ", |
|
| 250 | (space['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
| 251 | rows_energy_categories = cursor_energy.fetchall() |
|
| 252 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 253 | for row_energy_category in rows_energy_categories: |
|
| 254 | energy_category_set.add(row_energy_category[0]) |
|
| 255 | ||
| 256 | # query all energy categories in base period and reporting period |
|
| 257 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 258 | " FROM tbl_energy_categories " |
|
| 259 | " ORDER BY id ", ) |
|
| 260 | rows_energy_categories = cursor_system.fetchall() |
|
| 261 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 262 | if cursor_system: |
|
| 263 | cursor_system.close() |
|
| 264 | if cnx_system: |
|
| 265 | cnx_system.close() |
|
| 266 | ||
| 267 | if cursor_energy: |
|
| 268 | cursor_energy.close() |
|
| 269 | if cnx_energy: |
|
| 270 | cnx_energy.close() |
|
| 271 | ||
| 272 | if cursor_billing: |
|
| 273 | cursor_billing.close() |
|
| 274 | if cnx_billing: |
|
| 275 | cnx_billing.close() |
|
| 276 | ||
| 277 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 278 | title='API.NOT_FOUND', |
|
| 279 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 280 | energy_category_dict = dict() |
|
| 281 | for row_energy_category in rows_energy_categories: |
|
| 282 | if row_energy_category[0] in energy_category_set: |
|
| 283 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 284 | "unit_of_measure": row_energy_category[2], |
|
| 285 | "kgce": row_energy_category[3], |
|
| 286 | "kgco2e": row_energy_category[4]} |
|
| 287 | ||
| 288 | ################################################################################################################ |
|
| 289 | # Step 4: query sensor data |
|
| 290 | ################################################################################################################ |
|
| 291 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 292 | cursor_system = cnx_system.cursor() |
|
| 293 | ||
| 294 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 295 | cursor_historical = cnx_historical.cursor() |
|
| 296 | ||
| 297 | sensor_id_list = list() |
|
| 298 | sensor_dict = dict() |
|
| 299 | cursor_system.execute(" SELECT s.id, s.name, s.uuid, s.description " |
|
| 300 | " FROM tbl_sensors s, tbl_spaces_sensors ss " |
|
| 301 | " WHERE ss.space_id = %s " |
|
| 302 | " AND s.id = ss.sensor_id " |
|
| 303 | , (space['id'],)) |
|
| 304 | rows_sensors = cursor_system.fetchall() |
|
| 305 | if rows_sensors is not None and len(rows_sensors) > 0: |
|
| 306 | for row in rows_sensors: |
|
| 307 | sensor_id_list.append(row[0]) |
|
| 308 | sensor_dict[row[0]] = dict() |
|
| 309 | sensor_dict[row[0]]['name'] = row[1] |
|
| 310 | sensor_dict[row[0]]['description'] = row[2] |
|
| 311 | sensor_dict[row[0]]['uuid'] = row[3] |
|
| 312 | sensor_dict[row[0]]['point_name_list'] = list() |
|
| 313 | sensor_dict[row[0]]['point_unit_list'] = list() |
|
| 314 | sensor_dict[row[0]]['point_id_list'] = list() |
|
| 315 | if sensor_id_list is not None and len(sensor_id_list) > 0: |
|
| 316 | cursor_system.execute(" SELECT sp.sensor_id, p.id, p.name, p.units " |
|
| 317 | " FROM tbl_sensors_points sp, tbl_points p " |
|
| 318 | " WHERE sp.sensor_id in ({}) " |
|
| 319 | " AND sp.point_id = p.id " |
|
| 320 | " ORDER BY p.id ".format(','.join("{0}".format(x) for x in sensor_id_list))) |
|
| 321 | rows_sensor_points = cursor_system.fetchall() |
|
| 322 | if rows_sensor_points is not None and len(rows_sensor_points) > 0: |
|
| 323 | for row in rows_sensor_points: |
|
| 324 | sensor_dict[row[0]]['point_id_list'].append(row[1]) |
|
| 325 | sensor_dict[row[0]]['point_name_list'].append(row[2]) |
|
| 326 | sensor_dict[row[0]]['point_unit_list'].append(row[3]) |
|
| 327 | ||
| 328 | point_data_dict = dict() |
|
| 329 | for key in sensor_dict: |
|
| 330 | if sensor_dict[key]['point_id_list'] is not None and len(sensor_dict[key]['point_id_list']) > 0: |
|
| 331 | cursor_historical.execute(" SELECT point_id, actual_value " |
|
| 332 | " FROM tbl_analog_value_latest " |
|
| 333 | " WHERE point_id in ({}) " |
|
| 334 | " ORDER BY point_id ". |
|
| 335 | format(','.join("{0}".format(x) for x in sensor_dict[key]['point_id_list']))) |
|
| 336 | rows_analog_values = cursor_historical.fetchall() |
|
| 337 | if rows_analog_values is not None and len(rows_analog_values) > 0: |
|
| 338 | for row in rows_analog_values: |
|
| 339 | point_data_dict[row[0]] = row[1] |
|
| 340 | ||
| 341 | cursor_historical.execute(" SELECT point_id, actual_value " |
|
| 342 | " FROM tbl_digital_value_latest " |
|
| 343 | " WHERE point_id in ({}) " |
|
| 344 | " ORDER BY point_id ". |
|
| 345 | format(','.join("{0}".format(x) for x in sensor_dict[key]['point_id_list']))) |
|
| 346 | rows_digital_values = cursor_historical.fetchall() |
|
| 347 | if rows_digital_values is not None and len(rows_digital_values) > 0: |
|
| 348 | for row in rows_digital_values: |
|
| 349 | point_data_dict[row[0]] = row[1] |
|
| 350 | ||
| 351 | ################################################################################################################ |
|
| 352 | # Step 5: query child spaces |
|
| 353 | ################################################################################################################ |
|
| 354 | child_space_list = list() |
|
| 355 | cursor_system.execute(" SELECT id, name " |
|
| 356 | " FROM tbl_spaces " |
|
| 357 | " WHERE parent_space_id = %s " |
|
| 358 | " ORDER BY id ", (space['id'], )) |
|
| 359 | rows_child_spaces = cursor_system.fetchall() |
|
| 360 | if rows_child_spaces is not None and len(rows_child_spaces) > 0: |
|
| 361 | for row in rows_child_spaces: |
|
| 362 | child_space_list.append({"id": row[0], "name": row[1]}) |
|
| 363 | ||
| 364 | ################################################################################################################ |
|
| 365 | # Step 6: query base period energy input |
|
| 366 | ################################################################################################################ |
|
| 367 | base_input = dict() |
|
| 368 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 369 | for energy_category_id in energy_category_set: |
|
| 370 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 371 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 372 | ||
| 373 | base_input[energy_category_id] = dict() |
|
| 374 | base_input[energy_category_id]['timestamps'] = list() |
|
| 375 | base_input[energy_category_id]['values'] = list() |
|
| 376 | base_input[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 377 | base_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
|
| 378 | base_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
|
| 379 | ||
| 380 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 381 | " FROM tbl_space_input_category_hourly " |
|
| 382 | " WHERE space_id = %s " |
|
| 383 | " AND energy_category_id = %s " |
|
| 384 | " AND start_datetime_utc >= %s " |
|
| 385 | " AND start_datetime_utc < %s " |
|
| 386 | " ORDER BY start_datetime_utc ", |
|
| 387 | (space['id'], |
|
| 388 | energy_category_id, |
|
| 389 | base_start_datetime_utc, |
|
| 390 | base_end_datetime_utc)) |
|
| 391 | rows_space_hourly = cursor_energy.fetchall() |
|
| 392 | ||
| 393 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 394 | base_start_datetime_utc, |
|
| 395 | base_end_datetime_utc, |
|
| 396 | period_type) |
|
| 397 | for row_space_periodically in rows_space_periodically: |
|
| 398 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 399 | timedelta(minutes=timezone_offset) |
|
| 400 | if period_type == 'hourly': |
|
| 401 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 402 | elif period_type == 'daily': |
|
| 403 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 404 | elif period_type == 'weekly': |
|
| 405 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 406 | elif period_type == 'monthly': |
|
| 407 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 408 | elif period_type == 'yearly': |
|
| 409 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 410 | ||
| 411 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 412 | base_input[energy_category_id]['timestamps'].append(current_datetime) |
|
| 413 | base_input[energy_category_id]['values'].append(actual_value) |
|
| 414 | base_input[energy_category_id]['subtotal'] += actual_value |
|
| 415 | base_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
|
| 416 | base_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
|
| 417 | ||
| 418 | ################################################################################################################ |
|
| 419 | # Step 7: query base period energy cost |
|
| 420 | ################################################################################################################ |
|
| 421 | base_cost = dict() |
|
| 422 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 423 | for energy_category_id in energy_category_set: |
|
| 424 | base_cost[energy_category_id] = dict() |
|
| 425 | base_cost[energy_category_id]['timestamps'] = list() |
|
| 426 | base_cost[energy_category_id]['values'] = list() |
|
| 427 | base_cost[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 428 | ||
| 429 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
| 430 | " FROM tbl_space_input_category_hourly " |
|
| 431 | " WHERE space_id = %s " |
|
| 432 | " AND energy_category_id = %s " |
|
| 433 | " AND start_datetime_utc >= %s " |
|
| 434 | " AND start_datetime_utc < %s " |
|
| 435 | " ORDER BY start_datetime_utc ", |
|
| 436 | (space['id'], |
|
| 437 | energy_category_id, |
|
| 438 | base_start_datetime_utc, |
|
| 439 | base_end_datetime_utc)) |
|
| 440 | rows_space_hourly = cursor_billing.fetchall() |
|
| 441 | ||
| 442 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 443 | base_start_datetime_utc, |
|
| 444 | base_end_datetime_utc, |
|
| 445 | period_type) |
|
| 446 | for row_space_periodically in rows_space_periodically: |
|
| 447 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 448 | timedelta(minutes=timezone_offset) |
|
| 449 | if period_type == 'hourly': |
|
| 450 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 451 | elif period_type == 'daily': |
|
| 452 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 453 | elif period_type == 'weekly': |
|
| 454 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 455 | elif period_type == 'monthly': |
|
| 456 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 457 | elif period_type == 'yearly': |
|
| 458 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 459 | ||
| 460 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 461 | base_cost[energy_category_id]['timestamps'].append(current_datetime) |
|
| 462 | base_cost[energy_category_id]['values'].append(actual_value) |
|
| 463 | base_cost[energy_category_id]['subtotal'] += actual_value |
|
| 464 | ||
| 465 | ################################################################################################################ |
|
| 466 | # Step 8: query reporting period energy input |
|
| 467 | ################################################################################################################ |
|
| 468 | reporting_input = dict() |
|
| 469 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 470 | for energy_category_id in energy_category_set: |
|
| 471 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 472 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 473 | ||
| 474 | reporting_input[energy_category_id] = dict() |
|
| 475 | reporting_input[energy_category_id]['timestamps'] = list() |
|
| 476 | reporting_input[energy_category_id]['values'] = list() |
|
| 477 | reporting_input[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 478 | reporting_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
|
| 479 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
|
| 480 | reporting_input[energy_category_id]['toppeak'] = Decimal(0.0) |
|
| 481 | reporting_input[energy_category_id]['onpeak'] = Decimal(0.0) |
|
| 482 | reporting_input[energy_category_id]['midpeak'] = Decimal(0.0) |
|
| 483 | reporting_input[energy_category_id]['offpeak'] = Decimal(0.0) |
|
| 484 | reporting_input[energy_category_id]['deep'] = Decimal(0.0) |
|
| 485 | ||
| 486 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 487 | " FROM tbl_space_input_category_hourly " |
|
| 488 | " WHERE space_id = %s " |
|
| 489 | " AND energy_category_id = %s " |
|
| 490 | " AND start_datetime_utc >= %s " |
|
| 491 | " AND start_datetime_utc < %s " |
|
| 492 | " ORDER BY start_datetime_utc ", |
|
| 493 | (space['id'], |
|
| 494 | energy_category_id, |
|
| 495 | reporting_start_datetime_utc, |
|
| 496 | reporting_end_datetime_utc)) |
|
| 497 | rows_space_hourly = cursor_energy.fetchall() |
|
| 498 | ||
| 499 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 500 | reporting_start_datetime_utc, |
|
| 501 | reporting_end_datetime_utc, |
|
| 502 | period_type) |
|
| 503 | for row_space_periodically in rows_space_periodically: |
|
| 504 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 505 | timedelta(minutes=timezone_offset) |
|
| 506 | if period_type == 'hourly': |
|
| 507 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 508 | elif period_type == 'daily': |
|
| 509 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 510 | elif period_type == 'weekly': |
|
| 511 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 512 | elif period_type == 'monthly': |
|
| 513 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 514 | elif period_type == 'yearly': |
|
| 515 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 516 | ||
| 517 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 518 | reporting_input[energy_category_id]['timestamps'].append(current_datetime) |
|
| 519 | reporting_input[energy_category_id]['values'].append(actual_value) |
|
| 520 | reporting_input[energy_category_id]['subtotal'] += actual_value |
|
| 521 | reporting_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
|
| 522 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
|
| 523 | ||
| 524 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
|
| 525 | energy_category_id, |
|
| 526 | reporting_start_datetime_utc, |
|
| 527 | reporting_end_datetime_utc) |
|
| 528 | for row in rows_space_hourly: |
|
| 529 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
| 530 | if peak_type == 'toppeak': |
|
| 531 | reporting_input[energy_category_id]['toppeak'] += row[1] |
|
| 532 | elif peak_type == 'onpeak': |
|
| 533 | reporting_input[energy_category_id]['onpeak'] += row[1] |
|
| 534 | elif peak_type == 'midpeak': |
|
| 535 | reporting_input[energy_category_id]['midpeak'] += row[1] |
|
| 536 | elif peak_type == 'offpeak': |
|
| 537 | reporting_input[energy_category_id]['offpeak'] += row[1] |
|
| 538 | elif peak_type == 'deep': |
|
| 539 | reporting_input[energy_category_id]['deep'] += row[1] |
|
| 540 | ||
| 541 | ################################################################################################################ |
|
| 542 | # Step 9: query reporting period energy cost |
|
| 543 | ################################################################################################################ |
|
| 544 | reporting_cost = dict() |
|
| 545 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 546 | for energy_category_id in energy_category_set: |
|
| 547 | ||
| 548 | reporting_cost[energy_category_id] = dict() |
|
| 549 | reporting_cost[energy_category_id]['timestamps'] = list() |
|
| 550 | reporting_cost[energy_category_id]['values'] = list() |
|
| 551 | reporting_cost[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 552 | reporting_cost[energy_category_id]['toppeak'] = Decimal(0.0) |
|
| 553 | reporting_cost[energy_category_id]['onpeak'] = Decimal(0.0) |
|
| 554 | reporting_cost[energy_category_id]['midpeak'] = Decimal(0.0) |
|
| 555 | reporting_cost[energy_category_id]['offpeak'] = Decimal(0.0) |
|
| 556 | reporting_cost[energy_category_id]['deep'] = Decimal(0.0) |
|
| 557 | ||
| 558 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
| 559 | " FROM tbl_space_input_category_hourly " |
|
| 560 | " WHERE space_id = %s " |
|
| 561 | " AND energy_category_id = %s " |
|
| 562 | " AND start_datetime_utc >= %s " |
|
| 563 | " AND start_datetime_utc < %s " |
|
| 564 | " ORDER BY start_datetime_utc ", |
|
| 565 | (space['id'], |
|
| 566 | energy_category_id, |
|
| 567 | reporting_start_datetime_utc, |
|
| 568 | reporting_end_datetime_utc)) |
|
| 569 | rows_space_hourly = cursor_billing.fetchall() |
|
| 570 | ||
| 571 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 572 | reporting_start_datetime_utc, |
|
| 573 | reporting_end_datetime_utc, |
|
| 574 | period_type) |
|
| 575 | for row_space_periodically in rows_space_periodically: |
|
| 576 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 577 | timedelta(minutes=timezone_offset) |
|
| 578 | if period_type == 'hourly': |
|
| 579 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 580 | elif period_type == 'daily': |
|
| 581 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 582 | elif period_type == 'weekly': |
|
| 583 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 584 | elif period_type == 'monthly': |
|
| 585 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 586 | elif period_type == 'yearly': |
|
| 587 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 588 | ||
| 589 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 590 | reporting_cost[energy_category_id]['timestamps'].append(current_datetime) |
|
| 591 | reporting_cost[energy_category_id]['values'].append(actual_value) |
|
| 592 | reporting_cost[energy_category_id]['subtotal'] += actual_value |
|
| 593 | ||
| 594 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
|
| 595 | energy_category_id, |
|
| 596 | reporting_start_datetime_utc, |
|
| 597 | reporting_end_datetime_utc) |
|
| 598 | for row in rows_space_hourly: |
|
| 599 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
| 600 | if peak_type == 'toppeak': |
|
| 601 | reporting_cost[energy_category_id]['toppeak'] += row[1] |
|
| 602 | elif peak_type == 'onpeak': |
|
| 603 | reporting_cost[energy_category_id]['onpeak'] += row[1] |
|
| 604 | elif peak_type == 'midpeak': |
|
| 605 | reporting_cost[energy_category_id]['midpeak'] += row[1] |
|
| 606 | elif peak_type == 'offpeak': |
|
| 607 | reporting_cost[energy_category_id]['offpeak'] += row[1] |
|
| 608 | elif peak_type == 'deep': |
|
| 609 | reporting_cost[energy_category_id]['deep'] += row[1] |
|
| 610 | ||
| 611 | ################################################################################################################ |
|
| 612 | # Step 10: query child spaces energy input |
|
| 613 | ################################################################################################################ |
|
| 614 | child_space_input = dict() |
|
| 615 | ||
| 616 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 617 | for energy_category_id in energy_category_set: |
|
| 618 | child_space_input[energy_category_id] = dict() |
|
| 619 | child_space_input[energy_category_id]['child_space_names'] = list() |
|
| 620 | child_space_input[energy_category_id]['subtotals'] = list() |
|
| 621 | child_space_input[energy_category_id]['subtotals_in_kgce'] = list() |
|
| 622 | child_space_input[energy_category_id]['subtotals_in_kgco2e'] = list() |
|
| 623 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 624 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 625 | for child_space in child_space_list: |
|
| 626 | child_space_input[energy_category_id]['child_space_names'].append(child_space['name']) |
|
| 627 | subtotal = 0 |
|
| 628 | subtotal_list = list() |
|
| 629 | ||
| 630 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value" |
|
| 631 | " FROM tbl_space_input_category_hourly " |
|
| 632 | " WHERE space_id = %s " |
|
| 633 | " AND energy_category_id = %s " |
|
| 634 | " AND start_datetime_utc >= %s " |
|
| 635 | " AND start_datetime_utc < %s " |
|
| 636 | " ORDER BY start_datetime_utc ", |
|
| 637 | (child_space['id'], |
|
| 638 | energy_category_id, |
|
| 639 | reporting_start_datetime_utc, |
|
| 640 | reporting_end_datetime_utc)) |
|
| 641 | row_subtotal = cursor_energy.fetchall() |
|
| 642 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(row_subtotal, |
|
| 643 | reporting_start_datetime_utc, |
|
| 644 | reporting_end_datetime_utc, |
|
| 645 | period_type) |
|
| 646 | ||
| 647 | for row_space_periodically in rows_space_periodically: |
|
| 648 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 649 | subtotal_list.append(actual_value) |
|
| 650 | subtotal += actual_value |
|
| 651 | ||
| 652 | child_space_input[energy_category_id]['subtotals'].append(subtotal_list) |
|
| 653 | child_space_input[energy_category_id]['subtotals_in_kgce'].append(subtotal * kgce) |
|
| 654 | child_space_input[energy_category_id]['subtotals_in_kgco2e'].append(subtotal * kgco2e) |
|
| 655 | ||
| 656 | ################################################################################################################ |
|
| 657 | # Step 10: query child spaces energy cost |
|
| 658 | ################################################################################################################ |
|
| 659 | child_space_cost = dict() |
|
| 660 | ||
| 661 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 662 | for energy_category_id in energy_category_set: |
|
| 663 | child_space_cost[energy_category_id] = dict() |
|
| 664 | child_space_cost[energy_category_id]['child_space_names'] = list() |
|
| 665 | child_space_cost[energy_category_id]['subtotals'] = list() |
|
| 666 | for child_space in child_space_list: |
|
| 667 | child_space_cost[energy_category_id]['child_space_names'].append(child_space['name']) |
|
| 668 | subtotal_list = list() |
|
| 669 | ||
| 670 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value" |
|
| 671 | " FROM tbl_space_input_category_hourly " |
|
| 672 | " WHERE space_id = %s " |
|
| 673 | " AND energy_category_id = %s " |
|
| 674 | " AND start_datetime_utc >= %s " |
|
| 675 | " AND start_datetime_utc < %s " |
|
| 676 | " ORDER BY start_datetime_utc ", |
|
| 677 | (child_space['id'], |
|
| 678 | energy_category_id, |
|
| 679 | reporting_start_datetime_utc, |
|
| 680 | reporting_end_datetime_utc)) |
|
| 681 | row_subtotal = cursor_billing.fetchall() |
|
| 682 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(row_subtotal, |
|
| 683 | reporting_start_datetime_utc, |
|
| 684 | reporting_end_datetime_utc, |
|
| 685 | period_type) |
|
| 686 | ||
| 687 | for row_space_periodically in rows_space_periodically: |
|
| 688 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 689 | subtotal_list.append(actual_value) |
|
| 690 | ||
| 691 | child_space_cost[energy_category_id]['subtotals'].append(subtotal_list) |
|
| 692 | ||
| 693 | ################################################################################################################ |
|
| 694 | # Step 12: construct the report |
|
| 695 | ################################################################################################################ |
|
| 696 | if cursor_system: |
|
| 697 | cursor_system.close() |
|
| 698 | if cnx_system: |
|
| 699 | cnx_system.close() |
|
| 700 | ||
| 701 | if cursor_energy: |
|
| 702 | cursor_energy.close() |
|
| 703 | if cnx_energy: |
|
| 704 | cnx_energy.close() |
|
| 705 | ||
| 706 | if cursor_billing: |
|
| 707 | cursor_billing.close() |
|
| 708 | if cnx_billing: |
|
| 709 | cnx_billing.close() |
|
| 710 | ||
| 711 | result = dict() |
|
| 712 | ||
| 713 | result['space'] = dict() |
|
| 714 | result['space']['name'] = space['name'] |
|
| 715 | result['space']['area'] = space['area'] |
|
| 716 | ||
| 717 | result['base_period_input'] = dict() |
|
| 718 | result['base_period_input']['names'] = list() |
|
| 719 | result['base_period_input']['units'] = list() |
|
| 720 | result['base_period_input']['timestamps'] = list() |
|
| 721 | result['base_period_input']['values'] = list() |
|
| 722 | result['base_period_input']['subtotals'] = list() |
|
| 723 | result['base_period_input']['subtotals_in_kgce'] = list() |
|
| 724 | result['base_period_input']['subtotals_in_kgco2e'] = list() |
|
| 725 | result['base_period_input']['subtotals_per_unit_area'] = list() |
|
| 726 | result['base_period_input']['total_in_kgce'] = Decimal(0.0) |
|
| 727 | result['base_period_input']['total_in_kgco2e'] = Decimal(0.0) |
|
| 728 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 729 | for energy_category_id in energy_category_set: |
|
| 730 | result['base_period_input']['names'].append( |
|
| 731 | energy_category_dict[energy_category_id]['name']) |
|
| 732 | result['base_period_input']['units'].append( |
|
| 733 | energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 734 | result['base_period_input']['timestamps'].append( |
|
| 735 | base_input[energy_category_id]['timestamps']) |
|
| 736 | result['base_period_input']['values'].append( |
|
| 737 | base_input[energy_category_id]['values']) |
|
| 738 | result['base_period_input']['subtotals'].append( |
|
| 739 | base_input[energy_category_id]['subtotal']) |
|
| 740 | result['base_period_input']['subtotals_in_kgce'].append( |
|
| 741 | base_input[energy_category_id]['subtotal_in_kgce']) |
|
| 742 | result['base_period_input']['subtotals_in_kgco2e'].append( |
|
| 743 | base_input[energy_category_id]['subtotal_in_kgco2e']) |
|
| 744 | result['base_period_input']['subtotals_per_unit_area'].append( |
|
| 745 | base_input[energy_category_id]['subtotal'] / space['area'] |
|
| 746 | if space['area'] > 0.0 else None) |
|
| 747 | result['base_period_input']['total_in_kgce'] += \ |
|
| 748 | base_input[energy_category_id]['subtotal_in_kgce'] |
|
| 749 | result['base_period_input']['total_in_kgco2e'] += \ |
|
| 750 | base_input[energy_category_id]['subtotal_in_kgco2e'] |
|
| 751 | ||
| 752 | result['sensor'] = dict() |
|
| 753 | result['point'] = dict() |
|
| 754 | result['sensor'] = sensor_dict |
|
| 755 | result['point'] = point_data_dict |
|
| 756 | ||
| 757 | result['base_period_cost'] = dict() |
|
| 758 | result['base_period_cost']['names'] = list() |
|
| 759 | result['base_period_cost']['units'] = list() |
|
| 760 | result['base_period_cost']['timestamps'] = list() |
|
| 761 | result['base_period_cost']['values'] = list() |
|
| 762 | result['base_period_cost']['subtotals'] = list() |
|
| 763 | result['base_period_cost']['subtotals_per_unit_area'] = list() |
|
| 764 | result['base_period_cost']['total'] = Decimal(0.0) |
|
| 765 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 766 | for energy_category_id in energy_category_set: |
|
| 767 | result['base_period_cost']['names'].append( |
|
| 768 | energy_category_dict[energy_category_id]['name']) |
|
| 769 | result['base_period_cost']['units'].append(config.currency_unit) |
|
| 770 | result['base_period_cost']['timestamps'].append( |
|
| 771 | base_cost[energy_category_id]['timestamps']) |
|
| 772 | result['base_period_cost']['values'].append( |
|
| 773 | base_cost[energy_category_id]['values']) |
|
| 774 | result['base_period_cost']['subtotals'].append( |
|
| 775 | base_cost[energy_category_id]['subtotal']) |
|
| 776 | result['base_period_cost']['subtotals_per_unit_area'].append( |
|
| 777 | base_cost[energy_category_id]['subtotal'] / space['area'] |
|
| 778 | if space['area'] > 0.0 else None) |
|
| 779 | result['base_period_cost']['total'] += base_cost[energy_category_id]['subtotal'] |
|
| 780 | ||
| 781 | result['reporting_period_input'] = dict() |
|
| 782 | result['reporting_period_input']['names'] = list() |
|
| 783 | result['reporting_period_input']['energy_category_ids'] = list() |
|
| 784 | result['reporting_period_input']['units'] = list() |
|
| 785 | result['reporting_period_input']['timestamps'] = list() |
|
| 786 | result['reporting_period_input']['values'] = list() |
|
| 787 | result['reporting_period_input']['subtotals'] = list() |
|
| 788 | result['reporting_period_input']['subtotals_in_kgce'] = list() |
|
| 789 | result['reporting_period_input']['subtotals_in_kgco2e'] = list() |
|
| 790 | result['reporting_period_input']['subtotals_per_unit_area'] = list() |
|
| 791 | result['reporting_period_input']['toppeaks'] = list() |
|
| 792 | result['reporting_period_input']['onpeaks'] = list() |
|
| 793 | result['reporting_period_input']['midpeaks'] = list() |
|
| 794 | result['reporting_period_input']['offpeaks'] = list() |
|
| 795 | result['reporting_period_input']['deeps'] = list() |
|
| 796 | result['reporting_period_input']['increment_rates'] = list() |
|
| 797 | result['reporting_period_input']['total_in_kgce'] = Decimal(0.0) |
|
| 798 | result['reporting_period_input']['total_in_kgco2e'] = Decimal(0.0) |
|
| 799 | result['reporting_period_input']['increment_rate_in_kgce'] = Decimal(0.0) |
|
| 800 | result['reporting_period_input']['increment_rate_in_kgco2e'] = Decimal(0.0) |
|
| 801 | ||
| 802 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 803 | for energy_category_id in energy_category_set: |
|
| 804 | result['reporting_period_input']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 805 | result['reporting_period_input']['energy_category_ids'].append(energy_category_id) |
|
| 806 | result['reporting_period_input']['units'].append( |
|
| 807 | energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 808 | result['reporting_period_input']['timestamps'].append( |
|
| 809 | reporting_input[energy_category_id]['timestamps']) |
|
| 810 | result['reporting_period_input']['values'].append( |
|
| 811 | reporting_input[energy_category_id]['values']) |
|
| 812 | result['reporting_period_input']['subtotals'].append( |
|
| 813 | reporting_input[energy_category_id]['subtotal']) |
|
| 814 | result['reporting_period_input']['subtotals_in_kgce'].append( |
|
| 815 | reporting_input[energy_category_id]['subtotal_in_kgce']) |
|
| 816 | result['reporting_period_input']['subtotals_in_kgco2e'].append( |
|
| 817 | reporting_input[energy_category_id]['subtotal_in_kgco2e']) |
|
| 818 | result['reporting_period_input']['subtotals_per_unit_area'].append( |
|
| 819 | reporting_input[energy_category_id]['subtotal'] / space['area'] |
|
| 820 | if space['area'] > 0.0 else None) |
|
| 821 | result['reporting_period_input']['toppeaks'].append( |
|
| 822 | reporting_input[energy_category_id]['toppeak']) |
|
| 823 | result['reporting_period_input']['onpeaks'].append( |
|
| 824 | reporting_input[energy_category_id]['onpeak']) |
|
| 825 | result['reporting_period_input']['midpeaks'].append( |
|
| 826 | reporting_input[energy_category_id]['midpeak']) |
|
| 827 | result['reporting_period_input']['offpeaks'].append( |
|
| 828 | reporting_input[energy_category_id]['offpeak']) |
|
| 829 | result['reporting_period_input']['deeps'].append( |
|
| 830 | reporting_input[energy_category_id]['deep']) |
|
| 831 | result['reporting_period_input']['increment_rates'].append( |
|
| 832 | (reporting_input[energy_category_id]['subtotal'] - |
|
| 833 | base_input[energy_category_id]['subtotal']) / |
|
| 834 | base_input[energy_category_id]['subtotal'] |
|
| 835 | if base_input[energy_category_id]['subtotal'] > 0.0 else None) |
|
| 836 | result['reporting_period_input']['total_in_kgce'] += \ |
|
| 837 | reporting_input[energy_category_id]['subtotal_in_kgce'] |
|
| 838 | result['reporting_period_input']['total_in_kgco2e'] += \ |
|
| 839 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] |
|
| 840 | ||
| 841 | result['reporting_period_input']['total_in_kgco2e_per_unit_area'] = \ |
|
| 842 | result['reporting_period_input']['total_in_kgce'] / space['area'] if space['area'] > 0.0 else None |
|
| 843 | ||
| 844 | result['reporting_period_input']['increment_rate_in_kgce'] = \ |
|
| 845 | (result['reporting_period_input']['total_in_kgce'] - result['base_period_input']['total_in_kgce']) / \ |
|
| 846 | result['base_period_input']['total_in_kgce'] \ |
|
| 847 | if result['base_period_input']['total_in_kgce'] > Decimal(0.0) else None |
|
| 848 | ||
| 849 | result['reporting_period_input']['total_in_kgce_per_unit_area'] = \ |
|
| 850 | result['reporting_period_input']['total_in_kgco2e'] / space['area'] if space['area'] > 0.0 else None |
|
| 851 | ||
| 852 | result['reporting_period_input']['increment_rate_in_kgco2e'] = \ |
|
| 853 | (result['reporting_period_input']['total_in_kgco2e'] - result['base_period_input']['total_in_kgco2e']) / \ |
|
| 854 | result['base_period_input']['total_in_kgco2e'] \ |
|
| 855 | if result['base_period_input']['total_in_kgco2e'] > Decimal(0.0) else None |
|
| 856 | ||
| 857 | result['reporting_period_cost'] = dict() |
|
| 858 | result['reporting_period_cost']['names'] = list() |
|
| 859 | result['reporting_period_cost']['energy_category_ids'] = list() |
|
| 860 | result['reporting_period_cost']['units'] = list() |
|
| 861 | result['reporting_period_cost']['timestamps'] = list() |
|
| 862 | result['reporting_period_cost']['values'] = list() |
|
| 863 | result['reporting_period_cost']['subtotals'] = list() |
|
| 864 | result['reporting_period_cost']['subtotals_per_unit_area'] = list() |
|
| 865 | result['reporting_period_cost']['toppeaks'] = list() |
|
| 866 | result['reporting_period_cost']['onpeaks'] = list() |
|
| 867 | result['reporting_period_cost']['midpeaks'] = list() |
|
| 868 | result['reporting_period_cost']['offpeaks'] = list() |
|
| 869 | result['reporting_period_cost']['deeps'] = list() |
|
| 870 | result['reporting_period_cost']['increment_rates'] = list() |
|
| 871 | result['reporting_period_cost']['total'] = Decimal(0.0) |
|
| 872 | result['reporting_period_cost']['total_per_unit_area'] = Decimal(0.0) |
|
| 873 | result['reporting_period_cost']['total_increment_rate'] = Decimal(0.0) |
|
| 874 | result['reporting_period_cost']['total_unit'] = config.currency_unit |
|
| 875 | ||
| 876 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 877 | for energy_category_id in energy_category_set: |
|
| 878 | result['reporting_period_cost']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 879 | result['reporting_period_cost']['energy_category_ids'].append(energy_category_id) |
|
| 880 | result['reporting_period_cost']['units'].append(config.currency_unit) |
|
| 881 | result['reporting_period_cost']['timestamps'].append( |
|
| 882 | reporting_cost[energy_category_id]['timestamps']) |
|
| 883 | result['reporting_period_cost']['values'].append( |
|
| 884 | reporting_cost[energy_category_id]['values']) |
|
| 885 | result['reporting_period_cost']['subtotals'].append( |
|
| 886 | reporting_cost[energy_category_id]['subtotal']) |
|
| 887 | result['reporting_period_cost']['subtotals_per_unit_area'].append( |
|
| 888 | reporting_cost[energy_category_id]['subtotal'] / space['area'] |
|
| 889 | if space['area'] > 0.0 else None) |
|
| 890 | result['reporting_period_cost']['toppeaks'].append( |
|
| 891 | reporting_cost[energy_category_id]['toppeak']) |
|
| 892 | result['reporting_period_cost']['onpeaks'].append( |
|
| 893 | reporting_cost[energy_category_id]['onpeak']) |
|
| 894 | result['reporting_period_cost']['midpeaks'].append( |
|
| 895 | reporting_cost[energy_category_id]['midpeak']) |
|
| 896 | result['reporting_period_cost']['offpeaks'].append( |
|
| 897 | reporting_cost[energy_category_id]['offpeak']) |
|
| 898 | result['reporting_period_cost']['deeps'].append( |
|
| 899 | reporting_cost[energy_category_id]['deep']) |
|
| 900 | result['reporting_period_cost']['increment_rates'].append( |
|
| 901 | (reporting_cost[energy_category_id]['subtotal'] - |
|
| 902 | base_cost[energy_category_id]['subtotal']) / |
|
| 903 | base_cost[energy_category_id]['subtotal'] |
|
| 904 | if base_cost[energy_category_id]['subtotal'] > 0.0 else None) |
|
| 905 | result['reporting_period_cost']['total'] += reporting_cost[energy_category_id]['subtotal'] |
|
| 906 | result['reporting_period_cost']['total_per_unit_area'] = \ |
|
| 907 | result['reporting_period_cost']['total'] / space['area'] if space['area'] > 0.0 else None |
|
| 908 | ||
| 909 | result['reporting_period_cost']['total_increment_rate'] = \ |
|
| 910 | (result['reporting_period_cost']['total'] - result['base_period_cost']['total']) / \ |
|
| 911 | result['reporting_period_cost']['total'] \ |
|
| 912 | if result['reporting_period_cost']['total'] > Decimal(0.0) else None |
|
| 913 | ||
| 914 | result['child_space_input'] = dict() |
|
| 915 | result['child_space_input']['energy_category_names'] = list() # 1D array [energy category] |
|
| 916 | result['child_space_input']['units'] = list() # 1D array [energy category] |
|
| 917 | result['child_space_input']['child_space_names_array'] = list() # 2D array [energy category][child space] |
|
| 918 | result['child_space_input']['subtotals_array'] = list() # 2D array [energy category][child space] |
|
| 919 | result['child_space_input']['subtotals_in_kgce_array'] = list() # 2D array [energy category][child space] |
|
| 920 | result['child_space_input']['subtotals_in_kgco2e_array'] = list() # 2D array [energy category][child space] |
|
| 921 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 922 | for energy_category_id in energy_category_set: |
|
| 923 | result['child_space_input']['energy_category_names'].append( |
|
| 924 | energy_category_dict[energy_category_id]['name']) |
|
| 925 | result['child_space_input']['units'].append( |
|
| 926 | energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 927 | result['child_space_input']['child_space_names_array'].append( |
|
| 928 | child_space_input[energy_category_id]['child_space_names']) |
|
| 929 | result['child_space_input']['subtotals_array'].append( |
|
| 930 | child_space_input[energy_category_id]['subtotals']) |
|
| 931 | result['child_space_input']['subtotals_in_kgce_array'].append( |
|
| 932 | child_space_input[energy_category_id]['subtotals_in_kgce']) |
|
| 933 | result['child_space_input']['subtotals_in_kgco2e_array'].append( |
|
| 934 | child_space_input[energy_category_id]['subtotals_in_kgco2e']) |
|
| 935 | ||
| 936 | result['child_space_cost'] = dict() |
|
| 937 | result['child_space_cost']['energy_category_names'] = list() # 1D array [energy category] |
|
| 938 | result['child_space_cost']['units'] = list() # 1D array [energy category] |
|
| 939 | result['child_space_cost']['child_space_names_array'] = list() # 2D array [energy category][child space] |
|
| 940 | result['child_space_cost']['subtotals_array'] = list() # 2D array [energy category][child space] |
|
| 941 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 942 | for energy_category_id in energy_category_set: |
|
| 943 | result['child_space_cost']['energy_category_names'].append( |
|
| 944 | energy_category_dict[energy_category_id]['name']) |
|
| 945 | result['child_space_cost']['units'].append(config.currency_unit) |
|
| 946 | result['child_space_cost']['child_space_names_array'].append( |
|
| 947 | child_space_cost[energy_category_id]['child_space_names']) |
|
| 948 | result['child_space_cost']['subtotals_array'].append( |
|
| 949 | child_space_cost[energy_category_id]['subtotals']) |
|
| 950 | ||
| 951 | resp.text = json.dumps(result) |
|
| 952 | ||
| @@ 11-951 (lines=941) @@ | ||
| 8 | from core.useractivity import access_control, api_key_control |
|
| 9 | ||
| 10 | ||
| 11 | class Reporting: |
|
| 12 | def __init__(self): |
|
| 13 | """Initializes Class""" |
|
| 14 | pass |
|
| 15 | ||
| 16 | @staticmethod |
|
| 17 | def on_options(req, resp): |
|
| 18 | _ = req |
|
| 19 | resp.status = falcon.HTTP_200 |
|
| 20 | ||
| 21 | #################################################################################################################### |
|
| 22 | # PROCEDURES |
|
| 23 | # Step 1: valid parameters |
|
| 24 | # Step 2: query the space |
|
| 25 | # Step 3: query energy categories |
|
| 26 | # Step 4: query sensor data |
|
| 27 | # Step 5: query child spaces |
|
| 28 | # Step 6: query base period energy input |
|
| 29 | # Step 7: query base period energy cost |
|
| 30 | # Step 8: query reporting period energy input |
|
| 31 | # Step 9: query reporting period energy cost |
|
| 32 | # Step 10: query child spaces energy input |
|
| 33 | # Step 10: query child spaces energy cost |
|
| 34 | # Step 12: construct the report |
|
| 35 | #################################################################################################################### |
|
| 36 | @staticmethod |
|
| 37 | def on_get(req, resp): |
|
| 38 | # todo: change this procedure from space to shopfloor |
|
| 39 | if 'API-KEY' not in req.headers or \ |
|
| 40 | not isinstance(req.headers['API-KEY'], str) or \ |
|
| 41 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
| 42 | access_control(req) |
|
| 43 | else: |
|
| 44 | api_key_control(req) |
|
| 45 | user_uuid = req.params.get('useruuid') |
|
| 46 | period_type = req.params.get('periodtype') |
|
| 47 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
| 48 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
| 49 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
| 50 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
| 51 | ||
| 52 | ################################################################################################################ |
|
| 53 | # Step 1: valid parameters |
|
| 54 | ################################################################################################################ |
|
| 55 | if user_uuid is None: |
|
| 56 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_USER_UUID') |
|
| 57 | else: |
|
| 58 | user_uuid = str.strip(user_uuid) |
|
| 59 | if len(user_uuid) != 36: |
|
| 60 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 61 | description='API.INVALID_USER_UUID') |
|
| 62 | ||
| 63 | if period_type is None: |
|
| 64 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 65 | description='API.INVALID_PERIOD_TYPE') |
|
| 66 | else: |
|
| 67 | period_type = str.strip(period_type) |
|
| 68 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
| 69 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 70 | description='API.INVALID_PERIOD_TYPE') |
|
| 71 | ||
| 72 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 73 | if config.utc_offset[0] == '-': |
|
| 74 | timezone_offset = -timezone_offset |
|
| 75 | ||
| 76 | base_start_datetime_utc = None |
|
| 77 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
| 78 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
| 79 | try: |
|
| 80 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 81 | except ValueError: |
|
| 82 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 83 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 84 | base_start_datetime_utc = \ |
|
| 85 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 86 | # nomalize the start datetime |
|
| 87 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
| 88 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 89 | else: |
|
| 90 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 91 | ||
| 92 | base_end_datetime_utc = None |
|
| 93 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
| 94 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
| 95 | try: |
|
| 96 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 97 | except ValueError: |
|
| 98 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 99 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 100 | base_end_datetime_utc = \ |
|
| 101 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 102 | ||
| 103 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 104 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 105 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 106 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 107 | ||
| 108 | if reporting_period_start_datetime_local is None: |
|
| 109 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 110 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 111 | else: |
|
| 112 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
| 113 | try: |
|
| 114 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
| 115 | '%Y-%m-%dT%H:%M:%S') |
|
| 116 | except ValueError: |
|
| 117 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 118 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 119 | reporting_start_datetime_utc = \ |
|
| 120 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 121 | # nomalize the start datetime |
|
| 122 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
| 123 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 124 | else: |
|
| 125 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 126 | ||
| 127 | if reporting_period_end_datetime_local is None: |
|
| 128 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 129 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 130 | else: |
|
| 131 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
| 132 | try: |
|
| 133 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
| 134 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 135 | timedelta(minutes=timezone_offset) |
|
| 136 | except ValueError: |
|
| 137 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 138 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 139 | ||
| 140 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 141 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 142 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 143 | ||
| 144 | ################################################################################################################ |
|
| 145 | # Step 2: query the space |
|
| 146 | ################################################################################################################ |
|
| 147 | ||
| 148 | cnx_user = mysql.connector.connect(**config.myems_user_db) |
|
| 149 | cursor_user = cnx_user.cursor() |
|
| 150 | ||
| 151 | cursor_user.execute(" SELECT id, is_admin, privilege_id " |
|
| 152 | " FROM tbl_users " |
|
| 153 | " WHERE uuid = %s ", (user_uuid,)) |
|
| 154 | row_user = cursor_user.fetchone() |
|
| 155 | if row_user is None: |
|
| 156 | if cursor_user: |
|
| 157 | cursor_user.close() |
|
| 158 | if cnx_user: |
|
| 159 | cnx_user.close() |
|
| 160 | ||
| 161 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 162 | description='API.USER_NOT_FOUND') |
|
| 163 | ||
| 164 | user = {'id': row_user[0], 'is_admin': row_user[1], 'privilege_id': row_user[2]} |
|
| 165 | if user['is_admin']: |
|
| 166 | # todo: make sure the space id is always 1 for admin |
|
| 167 | space_id = 1 |
|
| 168 | else: |
|
| 169 | cursor_user.execute(" SELECT data " |
|
| 170 | " FROM tbl_privileges " |
|
| 171 | " WHERE id = %s ", (user['privilege_id'],)) |
|
| 172 | row_privilege = cursor_user.fetchone() |
|
| 173 | if row_privilege is None: |
|
| 174 | if cursor_user: |
|
| 175 | cursor_user.close() |
|
| 176 | if cnx_user: |
|
| 177 | cnx_user.close() |
|
| 178 | ||
| 179 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 180 | description='API.USER_PRIVILEGE_NOT_FOUND') |
|
| 181 | ||
| 182 | privilege_data = json.loads(row_privilege[0]) |
|
| 183 | if 'spaces' not in privilege_data.keys() \ |
|
| 184 | or privilege_data['spaces'] is None \ |
|
| 185 | or len(privilege_data['spaces']) == 0: |
|
| 186 | if cursor_user: |
|
| 187 | cursor_user.close() |
|
| 188 | if cnx_user: |
|
| 189 | cnx_user.close() |
|
| 190 | ||
| 191 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 192 | description='API.USER_PRIVILEGE_NOT_FOUND') |
|
| 193 | # todo: how to deal with multiple spaces in privilege data |
|
| 194 | space_id = privilege_data['spaces'][0] |
|
| 195 | ||
| 196 | if cursor_user: |
|
| 197 | cursor_user.close() |
|
| 198 | if cnx_user: |
|
| 199 | cnx_user.close() |
|
| 200 | ||
| 201 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 202 | cursor_system = cnx_system.cursor() |
|
| 203 | ||
| 204 | cursor_system.execute(" SELECT id, name, area, cost_center_id " |
|
| 205 | " FROM tbl_spaces " |
|
| 206 | " WHERE id = %s ", (space_id,)) |
|
| 207 | row_space = cursor_system.fetchone() |
|
| 208 | if row_space is None: |
|
| 209 | if cursor_system: |
|
| 210 | cursor_system.close() |
|
| 211 | if cnx_system: |
|
| 212 | cnx_system.close() |
|
| 213 | ||
| 214 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', description='API.SPACE_NOT_FOUND') |
|
| 215 | ||
| 216 | space = dict() |
|
| 217 | space['id'] = row_space[0] |
|
| 218 | space['name'] = row_space[1] |
|
| 219 | space['area'] = row_space[2] |
|
| 220 | space['cost_center_id'] = row_space[3] |
|
| 221 | ||
| 222 | ################################################################################################################ |
|
| 223 | # Step 3: query energy categories |
|
| 224 | ################################################################################################################ |
|
| 225 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
| 226 | cursor_energy = cnx_energy.cursor() |
|
| 227 | ||
| 228 | cnx_billing = mysql.connector.connect(**config.myems_billing_db) |
|
| 229 | cursor_billing = cnx_billing.cursor() |
|
| 230 | ||
| 231 | energy_category_set = set() |
|
| 232 | # query energy categories in base period |
|
| 233 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 234 | " FROM tbl_space_input_category_hourly " |
|
| 235 | " WHERE space_id = %s " |
|
| 236 | " AND start_datetime_utc >= %s " |
|
| 237 | " AND start_datetime_utc < %s ", |
|
| 238 | (space['id'], base_start_datetime_utc, base_end_datetime_utc)) |
|
| 239 | rows_energy_categories = cursor_energy.fetchall() |
|
| 240 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 241 | for row_energy_category in rows_energy_categories: |
|
| 242 | energy_category_set.add(row_energy_category[0]) |
|
| 243 | ||
| 244 | # query energy categories in reporting period |
|
| 245 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 246 | " FROM tbl_space_input_category_hourly " |
|
| 247 | " WHERE space_id = %s " |
|
| 248 | " AND start_datetime_utc >= %s " |
|
| 249 | " AND start_datetime_utc < %s ", |
|
| 250 | (space['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
| 251 | rows_energy_categories = cursor_energy.fetchall() |
|
| 252 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 253 | for row_energy_category in rows_energy_categories: |
|
| 254 | energy_category_set.add(row_energy_category[0]) |
|
| 255 | ||
| 256 | # query all energy categories in base period and reporting period |
|
| 257 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 258 | " FROM tbl_energy_categories " |
|
| 259 | " ORDER BY id ", ) |
|
| 260 | rows_energy_categories = cursor_system.fetchall() |
|
| 261 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 262 | if cursor_system: |
|
| 263 | cursor_system.close() |
|
| 264 | if cnx_system: |
|
| 265 | cnx_system.close() |
|
| 266 | ||
| 267 | if cursor_energy: |
|
| 268 | cursor_energy.close() |
|
| 269 | if cnx_energy: |
|
| 270 | cnx_energy.close() |
|
| 271 | ||
| 272 | if cursor_billing: |
|
| 273 | cursor_billing.close() |
|
| 274 | if cnx_billing: |
|
| 275 | cnx_billing.close() |
|
| 276 | ||
| 277 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 278 | title='API.NOT_FOUND', |
|
| 279 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 280 | energy_category_dict = dict() |
|
| 281 | for row_energy_category in rows_energy_categories: |
|
| 282 | if row_energy_category[0] in energy_category_set: |
|
| 283 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 284 | "unit_of_measure": row_energy_category[2], |
|
| 285 | "kgce": row_energy_category[3], |
|
| 286 | "kgco2e": row_energy_category[4]} |
|
| 287 | ||
| 288 | ################################################################################################################ |
|
| 289 | # Step 4: query sensor data |
|
| 290 | ################################################################################################################ |
|
| 291 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 292 | cursor_system = cnx_system.cursor() |
|
| 293 | ||
| 294 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 295 | cursor_historical = cnx_historical.cursor() |
|
| 296 | ||
| 297 | sensor_id_list = list() |
|
| 298 | sensor_dict = dict() |
|
| 299 | cursor_system.execute(" SELECT s.id, s.name, s.uuid, s.description " |
|
| 300 | " FROM tbl_sensors s, tbl_spaces_sensors ss " |
|
| 301 | " WHERE ss.space_id = %s " |
|
| 302 | " AND s.id = ss.sensor_id " |
|
| 303 | , (space['id'],)) |
|
| 304 | rows_sensors = cursor_system.fetchall() |
|
| 305 | if rows_sensors is not None and len(rows_sensors) > 0: |
|
| 306 | for row in rows_sensors: |
|
| 307 | sensor_id_list.append(row[0]) |
|
| 308 | sensor_dict[row[0]] = dict() |
|
| 309 | sensor_dict[row[0]]['name'] = row[1] |
|
| 310 | sensor_dict[row[0]]['description'] = row[2] |
|
| 311 | sensor_dict[row[0]]['uuid'] = row[3] |
|
| 312 | sensor_dict[row[0]]['point_name_list'] = list() |
|
| 313 | sensor_dict[row[0]]['point_unit_list'] = list() |
|
| 314 | sensor_dict[row[0]]['point_id_list'] = list() |
|
| 315 | if sensor_id_list is not None and len(sensor_id_list) > 0: |
|
| 316 | cursor_system.execute(" SELECT sp.sensor_id, p.id, p.name, p.units " |
|
| 317 | " FROM tbl_sensors_points sp, tbl_points p " |
|
| 318 | " WHERE sp.sensor_id in ({}) " |
|
| 319 | " AND sp.point_id = p.id " |
|
| 320 | " ORDER BY p.id ".format(','.join("{0}".format(x) for x in sensor_id_list))) |
|
| 321 | rows_sensor_points = cursor_system.fetchall() |
|
| 322 | if rows_sensor_points is not None and len(rows_sensor_points) > 0: |
|
| 323 | for row in rows_sensor_points: |
|
| 324 | sensor_dict[row[0]]['point_id_list'].append(row[1]) |
|
| 325 | sensor_dict[row[0]]['point_name_list'].append(row[2]) |
|
| 326 | sensor_dict[row[0]]['point_unit_list'].append(row[3]) |
|
| 327 | ||
| 328 | point_data_dict = dict() |
|
| 329 | for key in sensor_dict: |
|
| 330 | if sensor_dict[key]['point_id_list'] is not None and len(sensor_dict[key]['point_id_list']) > 0: |
|
| 331 | cursor_historical.execute(" SELECT point_id, actual_value " |
|
| 332 | " FROM tbl_analog_value_latest " |
|
| 333 | " WHERE point_id in ({}) " |
|
| 334 | " ORDER BY point_id ". |
|
| 335 | format(','.join("{0}".format(x) for x in sensor_dict[key]['point_id_list']))) |
|
| 336 | rows_analog_values = cursor_historical.fetchall() |
|
| 337 | if rows_analog_values is not None and len(rows_analog_values) > 0: |
|
| 338 | for row in rows_analog_values: |
|
| 339 | point_data_dict[row[0]] = row[1] |
|
| 340 | ||
| 341 | cursor_historical.execute(" SELECT point_id, actual_value " |
|
| 342 | " FROM tbl_digital_value_latest " |
|
| 343 | " WHERE point_id in ({}) " |
|
| 344 | " ORDER BY point_id ". |
|
| 345 | format(','.join("{0}".format(x) for x in sensor_dict[key]['point_id_list']))) |
|
| 346 | rows_digital_values = cursor_historical.fetchall() |
|
| 347 | if rows_digital_values is not None and len(rows_digital_values) > 0: |
|
| 348 | for row in rows_digital_values: |
|
| 349 | point_data_dict[row[0]] = row[1] |
|
| 350 | ||
| 351 | ################################################################################################################ |
|
| 352 | # Step 5: query child spaces |
|
| 353 | ################################################################################################################ |
|
| 354 | child_space_list = list() |
|
| 355 | cursor_system.execute(" SELECT id, name " |
|
| 356 | " FROM tbl_spaces " |
|
| 357 | " WHERE parent_space_id = %s " |
|
| 358 | " ORDER BY id ", (space['id'], )) |
|
| 359 | rows_child_spaces = cursor_system.fetchall() |
|
| 360 | if rows_child_spaces is not None and len(rows_child_spaces) > 0: |
|
| 361 | for row in rows_child_spaces: |
|
| 362 | child_space_list.append({"id": row[0], "name": row[1]}) |
|
| 363 | ||
| 364 | ################################################################################################################ |
|
| 365 | # Step 6: query base period energy input |
|
| 366 | ################################################################################################################ |
|
| 367 | base_input = dict() |
|
| 368 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 369 | for energy_category_id in energy_category_set: |
|
| 370 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 371 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 372 | ||
| 373 | base_input[energy_category_id] = dict() |
|
| 374 | base_input[energy_category_id]['timestamps'] = list() |
|
| 375 | base_input[energy_category_id]['values'] = list() |
|
| 376 | base_input[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 377 | base_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
|
| 378 | base_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
|
| 379 | ||
| 380 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 381 | " FROM tbl_space_input_category_hourly " |
|
| 382 | " WHERE space_id = %s " |
|
| 383 | " AND energy_category_id = %s " |
|
| 384 | " AND start_datetime_utc >= %s " |
|
| 385 | " AND start_datetime_utc < %s " |
|
| 386 | " ORDER BY start_datetime_utc ", |
|
| 387 | (space['id'], |
|
| 388 | energy_category_id, |
|
| 389 | base_start_datetime_utc, |
|
| 390 | base_end_datetime_utc)) |
|
| 391 | rows_space_hourly = cursor_energy.fetchall() |
|
| 392 | ||
| 393 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 394 | base_start_datetime_utc, |
|
| 395 | base_end_datetime_utc, |
|
| 396 | period_type) |
|
| 397 | for row_space_periodically in rows_space_periodically: |
|
| 398 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 399 | timedelta(minutes=timezone_offset) |
|
| 400 | if period_type == 'hourly': |
|
| 401 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 402 | elif period_type == 'daily': |
|
| 403 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 404 | elif period_type == 'weekly': |
|
| 405 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 406 | elif period_type == 'monthly': |
|
| 407 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 408 | elif period_type == 'yearly': |
|
| 409 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 410 | ||
| 411 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 412 | base_input[energy_category_id]['timestamps'].append(current_datetime) |
|
| 413 | base_input[energy_category_id]['values'].append(actual_value) |
|
| 414 | base_input[energy_category_id]['subtotal'] += actual_value |
|
| 415 | base_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
|
| 416 | base_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
|
| 417 | ||
| 418 | ################################################################################################################ |
|
| 419 | # Step 7: query base period energy cost |
|
| 420 | ################################################################################################################ |
|
| 421 | base_cost = dict() |
|
| 422 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 423 | for energy_category_id in energy_category_set: |
|
| 424 | base_cost[energy_category_id] = dict() |
|
| 425 | base_cost[energy_category_id]['timestamps'] = list() |
|
| 426 | base_cost[energy_category_id]['values'] = list() |
|
| 427 | base_cost[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 428 | ||
| 429 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
| 430 | " FROM tbl_space_input_category_hourly " |
|
| 431 | " WHERE space_id = %s " |
|
| 432 | " AND energy_category_id = %s " |
|
| 433 | " AND start_datetime_utc >= %s " |
|
| 434 | " AND start_datetime_utc < %s " |
|
| 435 | " ORDER BY start_datetime_utc ", |
|
| 436 | (space['id'], |
|
| 437 | energy_category_id, |
|
| 438 | base_start_datetime_utc, |
|
| 439 | base_end_datetime_utc)) |
|
| 440 | rows_space_hourly = cursor_billing.fetchall() |
|
| 441 | ||
| 442 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 443 | base_start_datetime_utc, |
|
| 444 | base_end_datetime_utc, |
|
| 445 | period_type) |
|
| 446 | for row_space_periodically in rows_space_periodically: |
|
| 447 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 448 | timedelta(minutes=timezone_offset) |
|
| 449 | if period_type == 'hourly': |
|
| 450 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 451 | elif period_type == 'daily': |
|
| 452 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 453 | elif period_type == 'weekly': |
|
| 454 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 455 | elif period_type == 'monthly': |
|
| 456 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 457 | elif period_type == 'yearly': |
|
| 458 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 459 | ||
| 460 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 461 | base_cost[energy_category_id]['timestamps'].append(current_datetime) |
|
| 462 | base_cost[energy_category_id]['values'].append(actual_value) |
|
| 463 | base_cost[energy_category_id]['subtotal'] += actual_value |
|
| 464 | ||
| 465 | ################################################################################################################ |
|
| 466 | # Step 8: query reporting period energy input |
|
| 467 | ################################################################################################################ |
|
| 468 | reporting_input = dict() |
|
| 469 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 470 | for energy_category_id in energy_category_set: |
|
| 471 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 472 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 473 | ||
| 474 | reporting_input[energy_category_id] = dict() |
|
| 475 | reporting_input[energy_category_id]['timestamps'] = list() |
|
| 476 | reporting_input[energy_category_id]['values'] = list() |
|
| 477 | reporting_input[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 478 | reporting_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
|
| 479 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
|
| 480 | reporting_input[energy_category_id]['toppeak'] = Decimal(0.0) |
|
| 481 | reporting_input[energy_category_id]['onpeak'] = Decimal(0.0) |
|
| 482 | reporting_input[energy_category_id]['midpeak'] = Decimal(0.0) |
|
| 483 | reporting_input[energy_category_id]['offpeak'] = Decimal(0.0) |
|
| 484 | reporting_input[energy_category_id]['deep'] = Decimal(0.0) |
|
| 485 | ||
| 486 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 487 | " FROM tbl_space_input_category_hourly " |
|
| 488 | " WHERE space_id = %s " |
|
| 489 | " AND energy_category_id = %s " |
|
| 490 | " AND start_datetime_utc >= %s " |
|
| 491 | " AND start_datetime_utc < %s " |
|
| 492 | " ORDER BY start_datetime_utc ", |
|
| 493 | (space['id'], |
|
| 494 | energy_category_id, |
|
| 495 | reporting_start_datetime_utc, |
|
| 496 | reporting_end_datetime_utc)) |
|
| 497 | rows_space_hourly = cursor_energy.fetchall() |
|
| 498 | ||
| 499 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 500 | reporting_start_datetime_utc, |
|
| 501 | reporting_end_datetime_utc, |
|
| 502 | period_type) |
|
| 503 | for row_space_periodically in rows_space_periodically: |
|
| 504 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 505 | timedelta(minutes=timezone_offset) |
|
| 506 | if period_type == 'hourly': |
|
| 507 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 508 | elif period_type == 'daily': |
|
| 509 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 510 | elif period_type == 'weekly': |
|
| 511 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 512 | elif period_type == 'monthly': |
|
| 513 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 514 | elif period_type == 'yearly': |
|
| 515 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 516 | ||
| 517 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 518 | reporting_input[energy_category_id]['timestamps'].append(current_datetime) |
|
| 519 | reporting_input[energy_category_id]['values'].append(actual_value) |
|
| 520 | reporting_input[energy_category_id]['subtotal'] += actual_value |
|
| 521 | reporting_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
|
| 522 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
|
| 523 | ||
| 524 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
|
| 525 | energy_category_id, |
|
| 526 | reporting_start_datetime_utc, |
|
| 527 | reporting_end_datetime_utc) |
|
| 528 | for row in rows_space_hourly: |
|
| 529 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
| 530 | if peak_type == 'toppeak': |
|
| 531 | reporting_input[energy_category_id]['toppeak'] += row[1] |
|
| 532 | elif peak_type == 'onpeak': |
|
| 533 | reporting_input[energy_category_id]['onpeak'] += row[1] |
|
| 534 | elif peak_type == 'midpeak': |
|
| 535 | reporting_input[energy_category_id]['midpeak'] += row[1] |
|
| 536 | elif peak_type == 'offpeak': |
|
| 537 | reporting_input[energy_category_id]['offpeak'] += row[1] |
|
| 538 | elif peak_type == 'deep': |
|
| 539 | reporting_input[energy_category_id]['deep'] += row[1] |
|
| 540 | ||
| 541 | ################################################################################################################ |
|
| 542 | # Step 9: query reporting period energy cost |
|
| 543 | ################################################################################################################ |
|
| 544 | reporting_cost = dict() |
|
| 545 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 546 | for energy_category_id in energy_category_set: |
|
| 547 | ||
| 548 | reporting_cost[energy_category_id] = dict() |
|
| 549 | reporting_cost[energy_category_id]['timestamps'] = list() |
|
| 550 | reporting_cost[energy_category_id]['values'] = list() |
|
| 551 | reporting_cost[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 552 | reporting_cost[energy_category_id]['toppeak'] = Decimal(0.0) |
|
| 553 | reporting_cost[energy_category_id]['onpeak'] = Decimal(0.0) |
|
| 554 | reporting_cost[energy_category_id]['midpeak'] = Decimal(0.0) |
|
| 555 | reporting_cost[energy_category_id]['offpeak'] = Decimal(0.0) |
|
| 556 | reporting_cost[energy_category_id]['deep'] = Decimal(0.0) |
|
| 557 | ||
| 558 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
| 559 | " FROM tbl_space_input_category_hourly " |
|
| 560 | " WHERE space_id = %s " |
|
| 561 | " AND energy_category_id = %s " |
|
| 562 | " AND start_datetime_utc >= %s " |
|
| 563 | " AND start_datetime_utc < %s " |
|
| 564 | " ORDER BY start_datetime_utc ", |
|
| 565 | (space['id'], |
|
| 566 | energy_category_id, |
|
| 567 | reporting_start_datetime_utc, |
|
| 568 | reporting_end_datetime_utc)) |
|
| 569 | rows_space_hourly = cursor_billing.fetchall() |
|
| 570 | ||
| 571 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 572 | reporting_start_datetime_utc, |
|
| 573 | reporting_end_datetime_utc, |
|
| 574 | period_type) |
|
| 575 | for row_space_periodically in rows_space_periodically: |
|
| 576 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 577 | timedelta(minutes=timezone_offset) |
|
| 578 | if period_type == 'hourly': |
|
| 579 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 580 | elif period_type == 'daily': |
|
| 581 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 582 | elif period_type == 'weekly': |
|
| 583 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 584 | elif period_type == 'monthly': |
|
| 585 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 586 | elif period_type == 'yearly': |
|
| 587 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 588 | ||
| 589 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 590 | reporting_cost[energy_category_id]['timestamps'].append(current_datetime) |
|
| 591 | reporting_cost[energy_category_id]['values'].append(actual_value) |
|
| 592 | reporting_cost[energy_category_id]['subtotal'] += actual_value |
|
| 593 | ||
| 594 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
|
| 595 | energy_category_id, |
|
| 596 | reporting_start_datetime_utc, |
|
| 597 | reporting_end_datetime_utc) |
|
| 598 | for row in rows_space_hourly: |
|
| 599 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
| 600 | if peak_type == 'toppeak': |
|
| 601 | reporting_cost[energy_category_id]['toppeak'] += row[1] |
|
| 602 | elif peak_type == 'onpeak': |
|
| 603 | reporting_cost[energy_category_id]['onpeak'] += row[1] |
|
| 604 | elif peak_type == 'midpeak': |
|
| 605 | reporting_cost[energy_category_id]['midpeak'] += row[1] |
|
| 606 | elif peak_type == 'offpeak': |
|
| 607 | reporting_cost[energy_category_id]['offpeak'] += row[1] |
|
| 608 | elif peak_type == 'deep': |
|
| 609 | reporting_cost[energy_category_id]['deep'] += row[1] |
|
| 610 | ||
| 611 | ################################################################################################################ |
|
| 612 | # Step 10: query child spaces energy input |
|
| 613 | ################################################################################################################ |
|
| 614 | child_space_input = dict() |
|
| 615 | ||
| 616 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 617 | for energy_category_id in energy_category_set: |
|
| 618 | child_space_input[energy_category_id] = dict() |
|
| 619 | child_space_input[energy_category_id]['child_space_names'] = list() |
|
| 620 | child_space_input[energy_category_id]['subtotals'] = list() |
|
| 621 | child_space_input[energy_category_id]['subtotals_in_kgce'] = list() |
|
| 622 | child_space_input[energy_category_id]['subtotals_in_kgco2e'] = list() |
|
| 623 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 624 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 625 | for child_space in child_space_list: |
|
| 626 | child_space_input[energy_category_id]['child_space_names'].append(child_space['name']) |
|
| 627 | subtotal = 0 |
|
| 628 | subtotal_list = list() |
|
| 629 | ||
| 630 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value" |
|
| 631 | " FROM tbl_space_input_category_hourly " |
|
| 632 | " WHERE space_id = %s " |
|
| 633 | " AND energy_category_id = %s " |
|
| 634 | " AND start_datetime_utc >= %s " |
|
| 635 | " AND start_datetime_utc < %s " |
|
| 636 | " ORDER BY start_datetime_utc ", |
|
| 637 | (child_space['id'], |
|
| 638 | energy_category_id, |
|
| 639 | reporting_start_datetime_utc, |
|
| 640 | reporting_end_datetime_utc)) |
|
| 641 | row_subtotal = cursor_energy.fetchall() |
|
| 642 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(row_subtotal, |
|
| 643 | reporting_start_datetime_utc, |
|
| 644 | reporting_end_datetime_utc, |
|
| 645 | period_type) |
|
| 646 | ||
| 647 | for row_space_periodically in rows_space_periodically: |
|
| 648 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 649 | subtotal_list.append(actual_value) |
|
| 650 | subtotal += actual_value |
|
| 651 | ||
| 652 | child_space_input[energy_category_id]['subtotals'].append(subtotal_list) |
|
| 653 | child_space_input[energy_category_id]['subtotals_in_kgce'].append(subtotal * kgce) |
|
| 654 | child_space_input[energy_category_id]['subtotals_in_kgco2e'].append(subtotal * kgco2e) |
|
| 655 | ||
| 656 | ################################################################################################################ |
|
| 657 | # Step 10: query child spaces energy cost |
|
| 658 | ################################################################################################################ |
|
| 659 | child_space_cost = dict() |
|
| 660 | ||
| 661 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 662 | for energy_category_id in energy_category_set: |
|
| 663 | child_space_cost[energy_category_id] = dict() |
|
| 664 | child_space_cost[energy_category_id]['child_space_names'] = list() |
|
| 665 | child_space_cost[energy_category_id]['subtotals'] = list() |
|
| 666 | for child_space in child_space_list: |
|
| 667 | child_space_cost[energy_category_id]['child_space_names'].append(child_space['name']) |
|
| 668 | subtotal_list = list() |
|
| 669 | ||
| 670 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value" |
|
| 671 | " FROM tbl_space_input_category_hourly " |
|
| 672 | " WHERE space_id = %s " |
|
| 673 | " AND energy_category_id = %s " |
|
| 674 | " AND start_datetime_utc >= %s " |
|
| 675 | " AND start_datetime_utc < %s " |
|
| 676 | " ORDER BY start_datetime_utc ", |
|
| 677 | (child_space['id'], |
|
| 678 | energy_category_id, |
|
| 679 | reporting_start_datetime_utc, |
|
| 680 | reporting_end_datetime_utc)) |
|
| 681 | row_subtotal = cursor_billing.fetchall() |
|
| 682 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(row_subtotal, |
|
| 683 | reporting_start_datetime_utc, |
|
| 684 | reporting_end_datetime_utc, |
|
| 685 | period_type) |
|
| 686 | ||
| 687 | for row_space_periodically in rows_space_periodically: |
|
| 688 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 689 | subtotal_list.append(actual_value) |
|
| 690 | ||
| 691 | child_space_cost[energy_category_id]['subtotals'].append(subtotal_list) |
|
| 692 | ||
| 693 | ################################################################################################################ |
|
| 694 | # Step 12: construct the report |
|
| 695 | ################################################################################################################ |
|
| 696 | if cursor_system: |
|
| 697 | cursor_system.close() |
|
| 698 | if cnx_system: |
|
| 699 | cnx_system.close() |
|
| 700 | ||
| 701 | if cursor_energy: |
|
| 702 | cursor_energy.close() |
|
| 703 | if cnx_energy: |
|
| 704 | cnx_energy.close() |
|
| 705 | ||
| 706 | if cursor_billing: |
|
| 707 | cursor_billing.close() |
|
| 708 | if cnx_billing: |
|
| 709 | cnx_billing.close() |
|
| 710 | ||
| 711 | result = dict() |
|
| 712 | ||
| 713 | result['space'] = dict() |
|
| 714 | result['space']['name'] = space['name'] |
|
| 715 | result['space']['area'] = space['area'] |
|
| 716 | ||
| 717 | result['base_period_input'] = dict() |
|
| 718 | result['base_period_input']['names'] = list() |
|
| 719 | result['base_period_input']['units'] = list() |
|
| 720 | result['base_period_input']['timestamps'] = list() |
|
| 721 | result['base_period_input']['values'] = list() |
|
| 722 | result['base_period_input']['subtotals'] = list() |
|
| 723 | result['base_period_input']['subtotals_in_kgce'] = list() |
|
| 724 | result['base_period_input']['subtotals_in_kgco2e'] = list() |
|
| 725 | result['base_period_input']['subtotals_per_unit_area'] = list() |
|
| 726 | result['base_period_input']['total_in_kgce'] = Decimal(0.0) |
|
| 727 | result['base_period_input']['total_in_kgco2e'] = Decimal(0.0) |
|
| 728 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 729 | for energy_category_id in energy_category_set: |
|
| 730 | result['base_period_input']['names'].append( |
|
| 731 | energy_category_dict[energy_category_id]['name']) |
|
| 732 | result['base_period_input']['units'].append( |
|
| 733 | energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 734 | result['base_period_input']['timestamps'].append( |
|
| 735 | base_input[energy_category_id]['timestamps']) |
|
| 736 | result['base_period_input']['values'].append( |
|
| 737 | base_input[energy_category_id]['values']) |
|
| 738 | result['base_period_input']['subtotals'].append( |
|
| 739 | base_input[energy_category_id]['subtotal']) |
|
| 740 | result['base_period_input']['subtotals_in_kgce'].append( |
|
| 741 | base_input[energy_category_id]['subtotal_in_kgce']) |
|
| 742 | result['base_period_input']['subtotals_in_kgco2e'].append( |
|
| 743 | base_input[energy_category_id]['subtotal_in_kgco2e']) |
|
| 744 | result['base_period_input']['subtotals_per_unit_area'].append( |
|
| 745 | base_input[energy_category_id]['subtotal'] / space['area'] |
|
| 746 | if space['area'] > 0.0 else None) |
|
| 747 | result['base_period_input']['total_in_kgce'] += \ |
|
| 748 | base_input[energy_category_id]['subtotal_in_kgce'] |
|
| 749 | result['base_period_input']['total_in_kgco2e'] += \ |
|
| 750 | base_input[energy_category_id]['subtotal_in_kgco2e'] |
|
| 751 | ||
| 752 | result['sensor'] = dict() |
|
| 753 | result['point'] = dict() |
|
| 754 | result['sensor'] = sensor_dict |
|
| 755 | result['point'] = point_data_dict |
|
| 756 | ||
| 757 | result['base_period_cost'] = dict() |
|
| 758 | result['base_period_cost']['names'] = list() |
|
| 759 | result['base_period_cost']['units'] = list() |
|
| 760 | result['base_period_cost']['timestamps'] = list() |
|
| 761 | result['base_period_cost']['values'] = list() |
|
| 762 | result['base_period_cost']['subtotals'] = list() |
|
| 763 | result['base_period_cost']['subtotals_per_unit_area'] = list() |
|
| 764 | result['base_period_cost']['total'] = Decimal(0.0) |
|
| 765 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 766 | for energy_category_id in energy_category_set: |
|
| 767 | result['base_period_cost']['names'].append( |
|
| 768 | energy_category_dict[energy_category_id]['name']) |
|
| 769 | result['base_period_cost']['units'].append(config.currency_unit) |
|
| 770 | result['base_period_cost']['timestamps'].append( |
|
| 771 | base_cost[energy_category_id]['timestamps']) |
|
| 772 | result['base_period_cost']['values'].append( |
|
| 773 | base_cost[energy_category_id]['values']) |
|
| 774 | result['base_period_cost']['subtotals'].append( |
|
| 775 | base_cost[energy_category_id]['subtotal']) |
|
| 776 | result['base_period_cost']['subtotals_per_unit_area'].append( |
|
| 777 | base_cost[energy_category_id]['subtotal'] / space['area'] |
|
| 778 | if space['area'] > 0.0 else None) |
|
| 779 | result['base_period_cost']['total'] += base_cost[energy_category_id]['subtotal'] |
|
| 780 | ||
| 781 | result['reporting_period_input'] = dict() |
|
| 782 | result['reporting_period_input']['names'] = list() |
|
| 783 | result['reporting_period_input']['energy_category_ids'] = list() |
|
| 784 | result['reporting_period_input']['units'] = list() |
|
| 785 | result['reporting_period_input']['timestamps'] = list() |
|
| 786 | result['reporting_period_input']['values'] = list() |
|
| 787 | result['reporting_period_input']['subtotals'] = list() |
|
| 788 | result['reporting_period_input']['subtotals_in_kgce'] = list() |
|
| 789 | result['reporting_period_input']['subtotals_in_kgco2e'] = list() |
|
| 790 | result['reporting_period_input']['subtotals_per_unit_area'] = list() |
|
| 791 | result['reporting_period_input']['toppeaks'] = list() |
|
| 792 | result['reporting_period_input']['onpeaks'] = list() |
|
| 793 | result['reporting_period_input']['midpeaks'] = list() |
|
| 794 | result['reporting_period_input']['offpeaks'] = list() |
|
| 795 | result['reporting_period_input']['deeps'] = list() |
|
| 796 | result['reporting_period_input']['increment_rates'] = list() |
|
| 797 | result['reporting_period_input']['total_in_kgce'] = Decimal(0.0) |
|
| 798 | result['reporting_period_input']['total_in_kgco2e'] = Decimal(0.0) |
|
| 799 | result['reporting_period_input']['increment_rate_in_kgce'] = Decimal(0.0) |
|
| 800 | result['reporting_period_input']['increment_rate_in_kgco2e'] = Decimal(0.0) |
|
| 801 | ||
| 802 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 803 | for energy_category_id in energy_category_set: |
|
| 804 | result['reporting_period_input']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 805 | result['reporting_period_input']['energy_category_ids'].append(energy_category_id) |
|
| 806 | result['reporting_period_input']['units'].append( |
|
| 807 | energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 808 | result['reporting_period_input']['timestamps'].append( |
|
| 809 | reporting_input[energy_category_id]['timestamps']) |
|
| 810 | result['reporting_period_input']['values'].append( |
|
| 811 | reporting_input[energy_category_id]['values']) |
|
| 812 | result['reporting_period_input']['subtotals'].append( |
|
| 813 | reporting_input[energy_category_id]['subtotal']) |
|
| 814 | result['reporting_period_input']['subtotals_in_kgce'].append( |
|
| 815 | reporting_input[energy_category_id]['subtotal_in_kgce']) |
|
| 816 | result['reporting_period_input']['subtotals_in_kgco2e'].append( |
|
| 817 | reporting_input[energy_category_id]['subtotal_in_kgco2e']) |
|
| 818 | result['reporting_period_input']['subtotals_per_unit_area'].append( |
|
| 819 | reporting_input[energy_category_id]['subtotal'] / space['area'] |
|
| 820 | if space['area'] > 0.0 else None) |
|
| 821 | result['reporting_period_input']['toppeaks'].append( |
|
| 822 | reporting_input[energy_category_id]['toppeak']) |
|
| 823 | result['reporting_period_input']['onpeaks'].append( |
|
| 824 | reporting_input[energy_category_id]['onpeak']) |
|
| 825 | result['reporting_period_input']['midpeaks'].append( |
|
| 826 | reporting_input[energy_category_id]['midpeak']) |
|
| 827 | result['reporting_period_input']['offpeaks'].append( |
|
| 828 | reporting_input[energy_category_id]['offpeak']) |
|
| 829 | result['reporting_period_input']['deeps'].append( |
|
| 830 | reporting_input[energy_category_id]['deep']) |
|
| 831 | result['reporting_period_input']['increment_rates'].append( |
|
| 832 | (reporting_input[energy_category_id]['subtotal'] - |
|
| 833 | base_input[energy_category_id]['subtotal']) / |
|
| 834 | base_input[energy_category_id]['subtotal'] |
|
| 835 | if base_input[energy_category_id]['subtotal'] > 0.0 else None) |
|
| 836 | result['reporting_period_input']['total_in_kgce'] += \ |
|
| 837 | reporting_input[energy_category_id]['subtotal_in_kgce'] |
|
| 838 | result['reporting_period_input']['total_in_kgco2e'] += \ |
|
| 839 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] |
|
| 840 | ||
| 841 | result['reporting_period_input']['total_in_kgco2e_per_unit_area'] = \ |
|
| 842 | result['reporting_period_input']['total_in_kgce'] / space['area'] if space['area'] > 0.0 else None |
|
| 843 | ||
| 844 | result['reporting_period_input']['increment_rate_in_kgce'] = \ |
|
| 845 | (result['reporting_period_input']['total_in_kgce'] - result['base_period_input']['total_in_kgce']) / \ |
|
| 846 | result['base_period_input']['total_in_kgce'] \ |
|
| 847 | if result['base_period_input']['total_in_kgce'] > Decimal(0.0) else None |
|
| 848 | ||
| 849 | result['reporting_period_input']['total_in_kgce_per_unit_area'] = \ |
|
| 850 | result['reporting_period_input']['total_in_kgco2e'] / space['area'] if space['area'] > 0.0 else None |
|
| 851 | ||
| 852 | result['reporting_period_input']['increment_rate_in_kgco2e'] = \ |
|
| 853 | (result['reporting_period_input']['total_in_kgco2e'] - result['base_period_input']['total_in_kgco2e']) / \ |
|
| 854 | result['base_period_input']['total_in_kgco2e'] \ |
|
| 855 | if result['base_period_input']['total_in_kgco2e'] > Decimal(0.0) else None |
|
| 856 | ||
| 857 | result['reporting_period_cost'] = dict() |
|
| 858 | result['reporting_period_cost']['names'] = list() |
|
| 859 | result['reporting_period_cost']['energy_category_ids'] = list() |
|
| 860 | result['reporting_period_cost']['units'] = list() |
|
| 861 | result['reporting_period_cost']['timestamps'] = list() |
|
| 862 | result['reporting_period_cost']['values'] = list() |
|
| 863 | result['reporting_period_cost']['subtotals'] = list() |
|
| 864 | result['reporting_period_cost']['subtotals_per_unit_area'] = list() |
|
| 865 | result['reporting_period_cost']['toppeaks'] = list() |
|
| 866 | result['reporting_period_cost']['onpeaks'] = list() |
|
| 867 | result['reporting_period_cost']['midpeaks'] = list() |
|
| 868 | result['reporting_period_cost']['offpeaks'] = list() |
|
| 869 | result['reporting_period_cost']['deeps'] = list() |
|
| 870 | result['reporting_period_cost']['increment_rates'] = list() |
|
| 871 | result['reporting_period_cost']['total'] = Decimal(0.0) |
|
| 872 | result['reporting_period_cost']['total_per_unit_area'] = Decimal(0.0) |
|
| 873 | result['reporting_period_cost']['total_increment_rate'] = Decimal(0.0) |
|
| 874 | result['reporting_period_cost']['total_unit'] = config.currency_unit |
|
| 875 | ||
| 876 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 877 | for energy_category_id in energy_category_set: |
|
| 878 | result['reporting_period_cost']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 879 | result['reporting_period_cost']['energy_category_ids'].append(energy_category_id) |
|
| 880 | result['reporting_period_cost']['units'].append(config.currency_unit) |
|
| 881 | result['reporting_period_cost']['timestamps'].append( |
|
| 882 | reporting_cost[energy_category_id]['timestamps']) |
|
| 883 | result['reporting_period_cost']['values'].append( |
|
| 884 | reporting_cost[energy_category_id]['values']) |
|
| 885 | result['reporting_period_cost']['subtotals'].append( |
|
| 886 | reporting_cost[energy_category_id]['subtotal']) |
|
| 887 | result['reporting_period_cost']['subtotals_per_unit_area'].append( |
|
| 888 | reporting_cost[energy_category_id]['subtotal'] / space['area'] |
|
| 889 | if space['area'] > 0.0 else None) |
|
| 890 | result['reporting_period_cost']['toppeaks'].append( |
|
| 891 | reporting_cost[energy_category_id]['toppeak']) |
|
| 892 | result['reporting_period_cost']['onpeaks'].append( |
|
| 893 | reporting_cost[energy_category_id]['onpeak']) |
|
| 894 | result['reporting_period_cost']['midpeaks'].append( |
|
| 895 | reporting_cost[energy_category_id]['midpeak']) |
|
| 896 | result['reporting_period_cost']['offpeaks'].append( |
|
| 897 | reporting_cost[energy_category_id]['offpeak']) |
|
| 898 | result['reporting_period_cost']['deeps'].append( |
|
| 899 | reporting_cost[energy_category_id]['deep']) |
|
| 900 | result['reporting_period_cost']['increment_rates'].append( |
|
| 901 | (reporting_cost[energy_category_id]['subtotal'] - |
|
| 902 | base_cost[energy_category_id]['subtotal']) / |
|
| 903 | base_cost[energy_category_id]['subtotal'] |
|
| 904 | if base_cost[energy_category_id]['subtotal'] > 0.0 else None) |
|
| 905 | result['reporting_period_cost']['total'] += reporting_cost[energy_category_id]['subtotal'] |
|
| 906 | result['reporting_period_cost']['total_per_unit_area'] = \ |
|
| 907 | result['reporting_period_cost']['total'] / space['area'] if space['area'] > 0.0 else None |
|
| 908 | ||
| 909 | result['reporting_period_cost']['total_increment_rate'] = \ |
|
| 910 | (result['reporting_period_cost']['total'] - result['base_period_cost']['total']) / \ |
|
| 911 | result['reporting_period_cost']['total'] \ |
|
| 912 | if result['reporting_period_cost']['total'] > Decimal(0.0) else None |
|
| 913 | ||
| 914 | result['child_space_input'] = dict() |
|
| 915 | result['child_space_input']['energy_category_names'] = list() # 1D array [energy category] |
|
| 916 | result['child_space_input']['units'] = list() # 1D array [energy category] |
|
| 917 | result['child_space_input']['child_space_names_array'] = list() # 2D array [energy category][child space] |
|
| 918 | result['child_space_input']['subtotals_array'] = list() # 2D array [energy category][child space] |
|
| 919 | result['child_space_input']['subtotals_in_kgce_array'] = list() # 2D array [energy category][child space] |
|
| 920 | result['child_space_input']['subtotals_in_kgco2e_array'] = list() # 2D array [energy category][child space] |
|
| 921 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 922 | for energy_category_id in energy_category_set: |
|
| 923 | result['child_space_input']['energy_category_names'].append( |
|
| 924 | energy_category_dict[energy_category_id]['name']) |
|
| 925 | result['child_space_input']['units'].append( |
|
| 926 | energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 927 | result['child_space_input']['child_space_names_array'].append( |
|
| 928 | child_space_input[energy_category_id]['child_space_names']) |
|
| 929 | result['child_space_input']['subtotals_array'].append( |
|
| 930 | child_space_input[energy_category_id]['subtotals']) |
|
| 931 | result['child_space_input']['subtotals_in_kgce_array'].append( |
|
| 932 | child_space_input[energy_category_id]['subtotals_in_kgce']) |
|
| 933 | result['child_space_input']['subtotals_in_kgco2e_array'].append( |
|
| 934 | child_space_input[energy_category_id]['subtotals_in_kgco2e']) |
|
| 935 | ||
| 936 | result['child_space_cost'] = dict() |
|
| 937 | result['child_space_cost']['energy_category_names'] = list() # 1D array [energy category] |
|
| 938 | result['child_space_cost']['units'] = list() # 1D array [energy category] |
|
| 939 | result['child_space_cost']['child_space_names_array'] = list() # 2D array [energy category][child space] |
|
| 940 | result['child_space_cost']['subtotals_array'] = list() # 2D array [energy category][child space] |
|
| 941 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 942 | for energy_category_id in energy_category_set: |
|
| 943 | result['child_space_cost']['energy_category_names'].append( |
|
| 944 | energy_category_dict[energy_category_id]['name']) |
|
| 945 | result['child_space_cost']['units'].append(config.currency_unit) |
|
| 946 | result['child_space_cost']['child_space_names_array'].append( |
|
| 947 | child_space_cost[energy_category_id]['child_space_names']) |
|
| 948 | result['child_space_cost']['subtotals_array'].append( |
|
| 949 | child_space_cost[energy_category_id]['subtotals']) |
|
| 950 | ||
| 951 | resp.text = json.dumps(result) |
|
| 952 | ||
| @@ 11-951 (lines=941) @@ | ||
| 8 | from core.useractivity import access_control, api_key_control |
|
| 9 | ||
| 10 | ||
| 11 | class Reporting: |
|
| 12 | def __init__(self): |
|
| 13 | """Initializes Class""" |
|
| 14 | pass |
|
| 15 | ||
| 16 | @staticmethod |
|
| 17 | def on_options(req, resp): |
|
| 18 | _ = req |
|
| 19 | resp.status = falcon.HTTP_200 |
|
| 20 | ||
| 21 | #################################################################################################################### |
|
| 22 | # PROCEDURES |
|
| 23 | # Step 1: valid parameters |
|
| 24 | # Step 2: query the space |
|
| 25 | # Step 3: query energy categories |
|
| 26 | # Step 4: query sensor data |
|
| 27 | # Step 5: query child spaces |
|
| 28 | # Step 6: query base period energy input |
|
| 29 | # Step 7: query base period energy cost |
|
| 30 | # Step 8: query reporting period energy input |
|
| 31 | # Step 9: query reporting period energy cost |
|
| 32 | # Step 10: query child spaces energy input |
|
| 33 | # Step 10: query child spaces energy cost |
|
| 34 | # Step 12: construct the report |
|
| 35 | #################################################################################################################### |
|
| 36 | @staticmethod |
|
| 37 | def on_get(req, resp): |
|
| 38 | # todo: change this procedure from space to tenant |
|
| 39 | if 'API-KEY' not in req.headers or \ |
|
| 40 | not isinstance(req.headers['API-KEY'], str) or \ |
|
| 41 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
| 42 | access_control(req) |
|
| 43 | else: |
|
| 44 | api_key_control(req) |
|
| 45 | user_uuid = req.params.get('useruuid') |
|
| 46 | period_type = req.params.get('periodtype') |
|
| 47 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
| 48 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
| 49 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
| 50 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
| 51 | ||
| 52 | ################################################################################################################ |
|
| 53 | # Step 1: valid parameters |
|
| 54 | ################################################################################################################ |
|
| 55 | if user_uuid is None: |
|
| 56 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_USER_UUID') |
|
| 57 | else: |
|
| 58 | user_uuid = str.strip(user_uuid) |
|
| 59 | if len(user_uuid) != 36: |
|
| 60 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 61 | description='API.INVALID_USER_UUID') |
|
| 62 | ||
| 63 | if period_type is None: |
|
| 64 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 65 | description='API.INVALID_PERIOD_TYPE') |
|
| 66 | else: |
|
| 67 | period_type = str.strip(period_type) |
|
| 68 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
| 69 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 70 | description='API.INVALID_PERIOD_TYPE') |
|
| 71 | ||
| 72 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 73 | if config.utc_offset[0] == '-': |
|
| 74 | timezone_offset = -timezone_offset |
|
| 75 | ||
| 76 | base_start_datetime_utc = None |
|
| 77 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
| 78 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
| 79 | try: |
|
| 80 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 81 | except ValueError: |
|
| 82 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 83 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 84 | base_start_datetime_utc = \ |
|
| 85 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 86 | # nomalize the start datetime |
|
| 87 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
| 88 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 89 | else: |
|
| 90 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 91 | ||
| 92 | base_end_datetime_utc = None |
|
| 93 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
| 94 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
| 95 | try: |
|
| 96 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 97 | except ValueError: |
|
| 98 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 99 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 100 | base_end_datetime_utc = \ |
|
| 101 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 102 | ||
| 103 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 104 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 105 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 106 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 107 | ||
| 108 | if reporting_period_start_datetime_local is None: |
|
| 109 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 110 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 111 | else: |
|
| 112 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
| 113 | try: |
|
| 114 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
| 115 | '%Y-%m-%dT%H:%M:%S') |
|
| 116 | except ValueError: |
|
| 117 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 118 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 119 | reporting_start_datetime_utc = \ |
|
| 120 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 121 | # nomalize the start datetime |
|
| 122 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
| 123 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 124 | else: |
|
| 125 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 126 | ||
| 127 | if reporting_period_end_datetime_local is None: |
|
| 128 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 129 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 130 | else: |
|
| 131 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
| 132 | try: |
|
| 133 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
| 134 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 135 | timedelta(minutes=timezone_offset) |
|
| 136 | except ValueError: |
|
| 137 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 138 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 139 | ||
| 140 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 141 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 142 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 143 | ||
| 144 | ################################################################################################################ |
|
| 145 | # Step 2: query the space |
|
| 146 | ################################################################################################################ |
|
| 147 | ||
| 148 | cnx_user = mysql.connector.connect(**config.myems_user_db) |
|
| 149 | cursor_user = cnx_user.cursor() |
|
| 150 | ||
| 151 | cursor_user.execute(" SELECT id, is_admin, privilege_id " |
|
| 152 | " FROM tbl_users " |
|
| 153 | " WHERE uuid = %s ", (user_uuid,)) |
|
| 154 | row_user = cursor_user.fetchone() |
|
| 155 | if row_user is None: |
|
| 156 | if cursor_user: |
|
| 157 | cursor_user.close() |
|
| 158 | if cnx_user: |
|
| 159 | cnx_user.close() |
|
| 160 | ||
| 161 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 162 | description='API.USER_NOT_FOUND') |
|
| 163 | ||
| 164 | user = {'id': row_user[0], 'is_admin': row_user[1], 'privilege_id': row_user[2]} |
|
| 165 | if user['is_admin']: |
|
| 166 | # todo: make sure the space id is always 1 for admin |
|
| 167 | space_id = 1 |
|
| 168 | else: |
|
| 169 | cursor_user.execute(" SELECT data " |
|
| 170 | " FROM tbl_privileges " |
|
| 171 | " WHERE id = %s ", (user['privilege_id'],)) |
|
| 172 | row_privilege = cursor_user.fetchone() |
|
| 173 | if row_privilege is None: |
|
| 174 | if cursor_user: |
|
| 175 | cursor_user.close() |
|
| 176 | if cnx_user: |
|
| 177 | cnx_user.close() |
|
| 178 | ||
| 179 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 180 | description='API.USER_PRIVILEGE_NOT_FOUND') |
|
| 181 | ||
| 182 | privilege_data = json.loads(row_privilege[0]) |
|
| 183 | if 'spaces' not in privilege_data.keys() \ |
|
| 184 | or privilege_data['spaces'] is None \ |
|
| 185 | or len(privilege_data['spaces']) == 0: |
|
| 186 | if cursor_user: |
|
| 187 | cursor_user.close() |
|
| 188 | if cnx_user: |
|
| 189 | cnx_user.close() |
|
| 190 | ||
| 191 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 192 | description='API.USER_PRIVILEGE_NOT_FOUND') |
|
| 193 | # todo: how to deal with multiple spaces in privilege data |
|
| 194 | space_id = privilege_data['spaces'][0] |
|
| 195 | ||
| 196 | if cursor_user: |
|
| 197 | cursor_user.close() |
|
| 198 | if cnx_user: |
|
| 199 | cnx_user.close() |
|
| 200 | ||
| 201 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 202 | cursor_system = cnx_system.cursor() |
|
| 203 | ||
| 204 | cursor_system.execute(" SELECT id, name, area, cost_center_id " |
|
| 205 | " FROM tbl_spaces " |
|
| 206 | " WHERE id = %s ", (space_id,)) |
|
| 207 | row_space = cursor_system.fetchone() |
|
| 208 | if row_space is None: |
|
| 209 | if cursor_system: |
|
| 210 | cursor_system.close() |
|
| 211 | if cnx_system: |
|
| 212 | cnx_system.close() |
|
| 213 | ||
| 214 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', description='API.SPACE_NOT_FOUND') |
|
| 215 | ||
| 216 | space = dict() |
|
| 217 | space['id'] = row_space[0] |
|
| 218 | space['name'] = row_space[1] |
|
| 219 | space['area'] = row_space[2] |
|
| 220 | space['cost_center_id'] = row_space[3] |
|
| 221 | ||
| 222 | ################################################################################################################ |
|
| 223 | # Step 3: query energy categories |
|
| 224 | ################################################################################################################ |
|
| 225 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
| 226 | cursor_energy = cnx_energy.cursor() |
|
| 227 | ||
| 228 | cnx_billing = mysql.connector.connect(**config.myems_billing_db) |
|
| 229 | cursor_billing = cnx_billing.cursor() |
|
| 230 | ||
| 231 | energy_category_set = set() |
|
| 232 | # query energy categories in base period |
|
| 233 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 234 | " FROM tbl_space_input_category_hourly " |
|
| 235 | " WHERE space_id = %s " |
|
| 236 | " AND start_datetime_utc >= %s " |
|
| 237 | " AND start_datetime_utc < %s ", |
|
| 238 | (space['id'], base_start_datetime_utc, base_end_datetime_utc)) |
|
| 239 | rows_energy_categories = cursor_energy.fetchall() |
|
| 240 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 241 | for row_energy_category in rows_energy_categories: |
|
| 242 | energy_category_set.add(row_energy_category[0]) |
|
| 243 | ||
| 244 | # query energy categories in reporting period |
|
| 245 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 246 | " FROM tbl_space_input_category_hourly " |
|
| 247 | " WHERE space_id = %s " |
|
| 248 | " AND start_datetime_utc >= %s " |
|
| 249 | " AND start_datetime_utc < %s ", |
|
| 250 | (space['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
| 251 | rows_energy_categories = cursor_energy.fetchall() |
|
| 252 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 253 | for row_energy_category in rows_energy_categories: |
|
| 254 | energy_category_set.add(row_energy_category[0]) |
|
| 255 | ||
| 256 | # query all energy categories in base period and reporting period |
|
| 257 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 258 | " FROM tbl_energy_categories " |
|
| 259 | " ORDER BY id ", ) |
|
| 260 | rows_energy_categories = cursor_system.fetchall() |
|
| 261 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 262 | if cursor_system: |
|
| 263 | cursor_system.close() |
|
| 264 | if cnx_system: |
|
| 265 | cnx_system.close() |
|
| 266 | ||
| 267 | if cursor_energy: |
|
| 268 | cursor_energy.close() |
|
| 269 | if cnx_energy: |
|
| 270 | cnx_energy.close() |
|
| 271 | ||
| 272 | if cursor_billing: |
|
| 273 | cursor_billing.close() |
|
| 274 | if cnx_billing: |
|
| 275 | cnx_billing.close() |
|
| 276 | ||
| 277 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 278 | title='API.NOT_FOUND', |
|
| 279 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 280 | energy_category_dict = dict() |
|
| 281 | for row_energy_category in rows_energy_categories: |
|
| 282 | if row_energy_category[0] in energy_category_set: |
|
| 283 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 284 | "unit_of_measure": row_energy_category[2], |
|
| 285 | "kgce": row_energy_category[3], |
|
| 286 | "kgco2e": row_energy_category[4]} |
|
| 287 | ||
| 288 | ################################################################################################################ |
|
| 289 | # Step 4: query sensor data |
|
| 290 | ################################################################################################################ |
|
| 291 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 292 | cursor_system = cnx_system.cursor() |
|
| 293 | ||
| 294 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 295 | cursor_historical = cnx_historical.cursor() |
|
| 296 | ||
| 297 | sensor_id_list = list() |
|
| 298 | sensor_dict = dict() |
|
| 299 | cursor_system.execute(" SELECT s.id, s.name, s.uuid, s.description " |
|
| 300 | " FROM tbl_sensors s, tbl_spaces_sensors ss " |
|
| 301 | " WHERE ss.space_id = %s " |
|
| 302 | " AND s.id = ss.sensor_id " |
|
| 303 | , (space['id'],)) |
|
| 304 | rows_sensors = cursor_system.fetchall() |
|
| 305 | if rows_sensors is not None and len(rows_sensors) > 0: |
|
| 306 | for row in rows_sensors: |
|
| 307 | sensor_id_list.append(row[0]) |
|
| 308 | sensor_dict[row[0]] = dict() |
|
| 309 | sensor_dict[row[0]]['name'] = row[1] |
|
| 310 | sensor_dict[row[0]]['description'] = row[2] |
|
| 311 | sensor_dict[row[0]]['uuid'] = row[3] |
|
| 312 | sensor_dict[row[0]]['point_name_list'] = list() |
|
| 313 | sensor_dict[row[0]]['point_unit_list'] = list() |
|
| 314 | sensor_dict[row[0]]['point_id_list'] = list() |
|
| 315 | if sensor_id_list is not None and len(sensor_id_list) > 0: |
|
| 316 | cursor_system.execute(" SELECT sp.sensor_id, p.id, p.name, p.units " |
|
| 317 | " FROM tbl_sensors_points sp, tbl_points p " |
|
| 318 | " WHERE sp.sensor_id in ({}) " |
|
| 319 | " AND sp.point_id = p.id " |
|
| 320 | " ORDER BY p.id ".format(','.join("{0}".format(x) for x in sensor_id_list))) |
|
| 321 | rows_sensor_points = cursor_system.fetchall() |
|
| 322 | if rows_sensor_points is not None and len(rows_sensor_points) > 0: |
|
| 323 | for row in rows_sensor_points: |
|
| 324 | sensor_dict[row[0]]['point_id_list'].append(row[1]) |
|
| 325 | sensor_dict[row[0]]['point_name_list'].append(row[2]) |
|
| 326 | sensor_dict[row[0]]['point_unit_list'].append(row[3]) |
|
| 327 | ||
| 328 | point_data_dict = dict() |
|
| 329 | for key in sensor_dict: |
|
| 330 | if sensor_dict[key]['point_id_list'] is not None and len(sensor_dict[key]['point_id_list']) > 0: |
|
| 331 | cursor_historical.execute(" SELECT point_id, actual_value " |
|
| 332 | " FROM tbl_analog_value_latest " |
|
| 333 | " WHERE point_id in ({}) " |
|
| 334 | " ORDER BY point_id ". |
|
| 335 | format(','.join("{0}".format(x) for x in sensor_dict[key]['point_id_list']))) |
|
| 336 | rows_analog_values = cursor_historical.fetchall() |
|
| 337 | if rows_analog_values is not None and len(rows_analog_values) > 0: |
|
| 338 | for row in rows_analog_values: |
|
| 339 | point_data_dict[row[0]] = row[1] |
|
| 340 | ||
| 341 | cursor_historical.execute(" SELECT point_id, actual_value " |
|
| 342 | " FROM tbl_digital_value_latest " |
|
| 343 | " WHERE point_id in ({}) " |
|
| 344 | " ORDER BY point_id ". |
|
| 345 | format(','.join("{0}".format(x) for x in sensor_dict[key]['point_id_list']))) |
|
| 346 | rows_digital_values = cursor_historical.fetchall() |
|
| 347 | if rows_digital_values is not None and len(rows_digital_values) > 0: |
|
| 348 | for row in rows_digital_values: |
|
| 349 | point_data_dict[row[0]] = row[1] |
|
| 350 | ||
| 351 | ################################################################################################################ |
|
| 352 | # Step 5: query child spaces |
|
| 353 | ################################################################################################################ |
|
| 354 | child_space_list = list() |
|
| 355 | cursor_system.execute(" SELECT id, name " |
|
| 356 | " FROM tbl_spaces " |
|
| 357 | " WHERE parent_space_id = %s " |
|
| 358 | " ORDER BY id ", (space['id'], )) |
|
| 359 | rows_child_spaces = cursor_system.fetchall() |
|
| 360 | if rows_child_spaces is not None and len(rows_child_spaces) > 0: |
|
| 361 | for row in rows_child_spaces: |
|
| 362 | child_space_list.append({"id": row[0], "name": row[1]}) |
|
| 363 | ||
| 364 | ################################################################################################################ |
|
| 365 | # Step 6: query base period energy input |
|
| 366 | ################################################################################################################ |
|
| 367 | base_input = dict() |
|
| 368 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 369 | for energy_category_id in energy_category_set: |
|
| 370 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 371 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 372 | ||
| 373 | base_input[energy_category_id] = dict() |
|
| 374 | base_input[energy_category_id]['timestamps'] = list() |
|
| 375 | base_input[energy_category_id]['values'] = list() |
|
| 376 | base_input[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 377 | base_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
|
| 378 | base_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
|
| 379 | ||
| 380 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 381 | " FROM tbl_space_input_category_hourly " |
|
| 382 | " WHERE space_id = %s " |
|
| 383 | " AND energy_category_id = %s " |
|
| 384 | " AND start_datetime_utc >= %s " |
|
| 385 | " AND start_datetime_utc < %s " |
|
| 386 | " ORDER BY start_datetime_utc ", |
|
| 387 | (space['id'], |
|
| 388 | energy_category_id, |
|
| 389 | base_start_datetime_utc, |
|
| 390 | base_end_datetime_utc)) |
|
| 391 | rows_space_hourly = cursor_energy.fetchall() |
|
| 392 | ||
| 393 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 394 | base_start_datetime_utc, |
|
| 395 | base_end_datetime_utc, |
|
| 396 | period_type) |
|
| 397 | for row_space_periodically in rows_space_periodically: |
|
| 398 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 399 | timedelta(minutes=timezone_offset) |
|
| 400 | if period_type == 'hourly': |
|
| 401 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 402 | elif period_type == 'daily': |
|
| 403 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 404 | elif period_type == 'weekly': |
|
| 405 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 406 | elif period_type == 'monthly': |
|
| 407 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 408 | elif period_type == 'yearly': |
|
| 409 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 410 | ||
| 411 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 412 | base_input[energy_category_id]['timestamps'].append(current_datetime) |
|
| 413 | base_input[energy_category_id]['values'].append(actual_value) |
|
| 414 | base_input[energy_category_id]['subtotal'] += actual_value |
|
| 415 | base_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
|
| 416 | base_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
|
| 417 | ||
| 418 | ################################################################################################################ |
|
| 419 | # Step 7: query base period energy cost |
|
| 420 | ################################################################################################################ |
|
| 421 | base_cost = dict() |
|
| 422 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 423 | for energy_category_id in energy_category_set: |
|
| 424 | base_cost[energy_category_id] = dict() |
|
| 425 | base_cost[energy_category_id]['timestamps'] = list() |
|
| 426 | base_cost[energy_category_id]['values'] = list() |
|
| 427 | base_cost[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 428 | ||
| 429 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
| 430 | " FROM tbl_space_input_category_hourly " |
|
| 431 | " WHERE space_id = %s " |
|
| 432 | " AND energy_category_id = %s " |
|
| 433 | " AND start_datetime_utc >= %s " |
|
| 434 | " AND start_datetime_utc < %s " |
|
| 435 | " ORDER BY start_datetime_utc ", |
|
| 436 | (space['id'], |
|
| 437 | energy_category_id, |
|
| 438 | base_start_datetime_utc, |
|
| 439 | base_end_datetime_utc)) |
|
| 440 | rows_space_hourly = cursor_billing.fetchall() |
|
| 441 | ||
| 442 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 443 | base_start_datetime_utc, |
|
| 444 | base_end_datetime_utc, |
|
| 445 | period_type) |
|
| 446 | for row_space_periodically in rows_space_periodically: |
|
| 447 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 448 | timedelta(minutes=timezone_offset) |
|
| 449 | if period_type == 'hourly': |
|
| 450 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 451 | elif period_type == 'daily': |
|
| 452 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 453 | elif period_type == 'weekly': |
|
| 454 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 455 | elif period_type == 'monthly': |
|
| 456 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 457 | elif period_type == 'yearly': |
|
| 458 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 459 | ||
| 460 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 461 | base_cost[energy_category_id]['timestamps'].append(current_datetime) |
|
| 462 | base_cost[energy_category_id]['values'].append(actual_value) |
|
| 463 | base_cost[energy_category_id]['subtotal'] += actual_value |
|
| 464 | ||
| 465 | ################################################################################################################ |
|
| 466 | # Step 8: query reporting period energy input |
|
| 467 | ################################################################################################################ |
|
| 468 | reporting_input = dict() |
|
| 469 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 470 | for energy_category_id in energy_category_set: |
|
| 471 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 472 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 473 | ||
| 474 | reporting_input[energy_category_id] = dict() |
|
| 475 | reporting_input[energy_category_id]['timestamps'] = list() |
|
| 476 | reporting_input[energy_category_id]['values'] = list() |
|
| 477 | reporting_input[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 478 | reporting_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
|
| 479 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
|
| 480 | reporting_input[energy_category_id]['toppeak'] = Decimal(0.0) |
|
| 481 | reporting_input[energy_category_id]['onpeak'] = Decimal(0.0) |
|
| 482 | reporting_input[energy_category_id]['midpeak'] = Decimal(0.0) |
|
| 483 | reporting_input[energy_category_id]['offpeak'] = Decimal(0.0) |
|
| 484 | reporting_input[energy_category_id]['deep'] = Decimal(0.0) |
|
| 485 | ||
| 486 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 487 | " FROM tbl_space_input_category_hourly " |
|
| 488 | " WHERE space_id = %s " |
|
| 489 | " AND energy_category_id = %s " |
|
| 490 | " AND start_datetime_utc >= %s " |
|
| 491 | " AND start_datetime_utc < %s " |
|
| 492 | " ORDER BY start_datetime_utc ", |
|
| 493 | (space['id'], |
|
| 494 | energy_category_id, |
|
| 495 | reporting_start_datetime_utc, |
|
| 496 | reporting_end_datetime_utc)) |
|
| 497 | rows_space_hourly = cursor_energy.fetchall() |
|
| 498 | ||
| 499 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 500 | reporting_start_datetime_utc, |
|
| 501 | reporting_end_datetime_utc, |
|
| 502 | period_type) |
|
| 503 | for row_space_periodically in rows_space_periodically: |
|
| 504 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 505 | timedelta(minutes=timezone_offset) |
|
| 506 | if period_type == 'hourly': |
|
| 507 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 508 | elif period_type == 'daily': |
|
| 509 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 510 | elif period_type == 'weekly': |
|
| 511 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 512 | elif period_type == 'monthly': |
|
| 513 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 514 | elif period_type == 'yearly': |
|
| 515 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 516 | ||
| 517 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 518 | reporting_input[energy_category_id]['timestamps'].append(current_datetime) |
|
| 519 | reporting_input[energy_category_id]['values'].append(actual_value) |
|
| 520 | reporting_input[energy_category_id]['subtotal'] += actual_value |
|
| 521 | reporting_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
|
| 522 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
|
| 523 | ||
| 524 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
|
| 525 | energy_category_id, |
|
| 526 | reporting_start_datetime_utc, |
|
| 527 | reporting_end_datetime_utc) |
|
| 528 | for row in rows_space_hourly: |
|
| 529 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
| 530 | if peak_type == 'toppeak': |
|
| 531 | reporting_input[energy_category_id]['toppeak'] += row[1] |
|
| 532 | elif peak_type == 'onpeak': |
|
| 533 | reporting_input[energy_category_id]['onpeak'] += row[1] |
|
| 534 | elif peak_type == 'midpeak': |
|
| 535 | reporting_input[energy_category_id]['midpeak'] += row[1] |
|
| 536 | elif peak_type == 'offpeak': |
|
| 537 | reporting_input[energy_category_id]['offpeak'] += row[1] |
|
| 538 | elif peak_type == 'deep': |
|
| 539 | reporting_input[energy_category_id]['deep'] += row[1] |
|
| 540 | ||
| 541 | ################################################################################################################ |
|
| 542 | # Step 9: query reporting period energy cost |
|
| 543 | ################################################################################################################ |
|
| 544 | reporting_cost = dict() |
|
| 545 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 546 | for energy_category_id in energy_category_set: |
|
| 547 | ||
| 548 | reporting_cost[energy_category_id] = dict() |
|
| 549 | reporting_cost[energy_category_id]['timestamps'] = list() |
|
| 550 | reporting_cost[energy_category_id]['values'] = list() |
|
| 551 | reporting_cost[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 552 | reporting_cost[energy_category_id]['toppeak'] = Decimal(0.0) |
|
| 553 | reporting_cost[energy_category_id]['onpeak'] = Decimal(0.0) |
|
| 554 | reporting_cost[energy_category_id]['midpeak'] = Decimal(0.0) |
|
| 555 | reporting_cost[energy_category_id]['offpeak'] = Decimal(0.0) |
|
| 556 | reporting_cost[energy_category_id]['deep'] = Decimal(0.0) |
|
| 557 | ||
| 558 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
| 559 | " FROM tbl_space_input_category_hourly " |
|
| 560 | " WHERE space_id = %s " |
|
| 561 | " AND energy_category_id = %s " |
|
| 562 | " AND start_datetime_utc >= %s " |
|
| 563 | " AND start_datetime_utc < %s " |
|
| 564 | " ORDER BY start_datetime_utc ", |
|
| 565 | (space['id'], |
|
| 566 | energy_category_id, |
|
| 567 | reporting_start_datetime_utc, |
|
| 568 | reporting_end_datetime_utc)) |
|
| 569 | rows_space_hourly = cursor_billing.fetchall() |
|
| 570 | ||
| 571 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
| 572 | reporting_start_datetime_utc, |
|
| 573 | reporting_end_datetime_utc, |
|
| 574 | period_type) |
|
| 575 | for row_space_periodically in rows_space_periodically: |
|
| 576 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 577 | timedelta(minutes=timezone_offset) |
|
| 578 | if period_type == 'hourly': |
|
| 579 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 580 | elif period_type == 'daily': |
|
| 581 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 582 | elif period_type == 'weekly': |
|
| 583 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 584 | elif period_type == 'monthly': |
|
| 585 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 586 | elif period_type == 'yearly': |
|
| 587 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 588 | ||
| 589 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 590 | reporting_cost[energy_category_id]['timestamps'].append(current_datetime) |
|
| 591 | reporting_cost[energy_category_id]['values'].append(actual_value) |
|
| 592 | reporting_cost[energy_category_id]['subtotal'] += actual_value |
|
| 593 | ||
| 594 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
|
| 595 | energy_category_id, |
|
| 596 | reporting_start_datetime_utc, |
|
| 597 | reporting_end_datetime_utc) |
|
| 598 | for row in rows_space_hourly: |
|
| 599 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
| 600 | if peak_type == 'toppeak': |
|
| 601 | reporting_cost[energy_category_id]['toppeak'] += row[1] |
|
| 602 | elif peak_type == 'onpeak': |
|
| 603 | reporting_cost[energy_category_id]['onpeak'] += row[1] |
|
| 604 | elif peak_type == 'midpeak': |
|
| 605 | reporting_cost[energy_category_id]['midpeak'] += row[1] |
|
| 606 | elif peak_type == 'offpeak': |
|
| 607 | reporting_cost[energy_category_id]['offpeak'] += row[1] |
|
| 608 | elif peak_type == 'deep': |
|
| 609 | reporting_cost[energy_category_id]['deep'] += row[1] |
|
| 610 | ||
| 611 | ################################################################################################################ |
|
| 612 | # Step 10: query child spaces energy input |
|
| 613 | ################################################################################################################ |
|
| 614 | child_space_input = dict() |
|
| 615 | ||
| 616 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 617 | for energy_category_id in energy_category_set: |
|
| 618 | child_space_input[energy_category_id] = dict() |
|
| 619 | child_space_input[energy_category_id]['child_space_names'] = list() |
|
| 620 | child_space_input[energy_category_id]['subtotals'] = list() |
|
| 621 | child_space_input[energy_category_id]['subtotals_in_kgce'] = list() |
|
| 622 | child_space_input[energy_category_id]['subtotals_in_kgco2e'] = list() |
|
| 623 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 624 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 625 | for child_space in child_space_list: |
|
| 626 | child_space_input[energy_category_id]['child_space_names'].append(child_space['name']) |
|
| 627 | subtotal = 0 |
|
| 628 | subtotal_list = list() |
|
| 629 | ||
| 630 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value" |
|
| 631 | " FROM tbl_space_input_category_hourly " |
|
| 632 | " WHERE space_id = %s " |
|
| 633 | " AND energy_category_id = %s " |
|
| 634 | " AND start_datetime_utc >= %s " |
|
| 635 | " AND start_datetime_utc < %s " |
|
| 636 | " ORDER BY start_datetime_utc ", |
|
| 637 | (child_space['id'], |
|
| 638 | energy_category_id, |
|
| 639 | reporting_start_datetime_utc, |
|
| 640 | reporting_end_datetime_utc)) |
|
| 641 | row_subtotal = cursor_energy.fetchall() |
|
| 642 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(row_subtotal, |
|
| 643 | reporting_start_datetime_utc, |
|
| 644 | reporting_end_datetime_utc, |
|
| 645 | period_type) |
|
| 646 | ||
| 647 | for row_space_periodically in rows_space_periodically: |
|
| 648 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 649 | subtotal_list.append(actual_value) |
|
| 650 | subtotal += actual_value |
|
| 651 | ||
| 652 | child_space_input[energy_category_id]['subtotals'].append(subtotal_list) |
|
| 653 | child_space_input[energy_category_id]['subtotals_in_kgce'].append(subtotal * kgce) |
|
| 654 | child_space_input[energy_category_id]['subtotals_in_kgco2e'].append(subtotal * kgco2e) |
|
| 655 | ||
| 656 | ################################################################################################################ |
|
| 657 | # Step 10: query child spaces energy cost |
|
| 658 | ################################################################################################################ |
|
| 659 | child_space_cost = dict() |
|
| 660 | ||
| 661 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 662 | for energy_category_id in energy_category_set: |
|
| 663 | child_space_cost[energy_category_id] = dict() |
|
| 664 | child_space_cost[energy_category_id]['child_space_names'] = list() |
|
| 665 | child_space_cost[energy_category_id]['subtotals'] = list() |
|
| 666 | for child_space in child_space_list: |
|
| 667 | child_space_cost[energy_category_id]['child_space_names'].append(child_space['name']) |
|
| 668 | subtotal_list = list() |
|
| 669 | ||
| 670 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value" |
|
| 671 | " FROM tbl_space_input_category_hourly " |
|
| 672 | " WHERE space_id = %s " |
|
| 673 | " AND energy_category_id = %s " |
|
| 674 | " AND start_datetime_utc >= %s " |
|
| 675 | " AND start_datetime_utc < %s " |
|
| 676 | " ORDER BY start_datetime_utc ", |
|
| 677 | (child_space['id'], |
|
| 678 | energy_category_id, |
|
| 679 | reporting_start_datetime_utc, |
|
| 680 | reporting_end_datetime_utc)) |
|
| 681 | row_subtotal = cursor_billing.fetchall() |
|
| 682 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(row_subtotal, |
|
| 683 | reporting_start_datetime_utc, |
|
| 684 | reporting_end_datetime_utc, |
|
| 685 | period_type) |
|
| 686 | ||
| 687 | for row_space_periodically in rows_space_periodically: |
|
| 688 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
| 689 | subtotal_list.append(actual_value) |
|
| 690 | ||
| 691 | child_space_cost[energy_category_id]['subtotals'].append(subtotal_list) |
|
| 692 | ||
| 693 | ################################################################################################################ |
|
| 694 | # Step 12: construct the report |
|
| 695 | ################################################################################################################ |
|
| 696 | if cursor_system: |
|
| 697 | cursor_system.close() |
|
| 698 | if cnx_system: |
|
| 699 | cnx_system.close() |
|
| 700 | ||
| 701 | if cursor_energy: |
|
| 702 | cursor_energy.close() |
|
| 703 | if cnx_energy: |
|
| 704 | cnx_energy.close() |
|
| 705 | ||
| 706 | if cursor_billing: |
|
| 707 | cursor_billing.close() |
|
| 708 | if cnx_billing: |
|
| 709 | cnx_billing.close() |
|
| 710 | ||
| 711 | result = dict() |
|
| 712 | ||
| 713 | result['space'] = dict() |
|
| 714 | result['space']['name'] = space['name'] |
|
| 715 | result['space']['area'] = space['area'] |
|
| 716 | ||
| 717 | result['base_period_input'] = dict() |
|
| 718 | result['base_period_input']['names'] = list() |
|
| 719 | result['base_period_input']['units'] = list() |
|
| 720 | result['base_period_input']['timestamps'] = list() |
|
| 721 | result['base_period_input']['values'] = list() |
|
| 722 | result['base_period_input']['subtotals'] = list() |
|
| 723 | result['base_period_input']['subtotals_in_kgce'] = list() |
|
| 724 | result['base_period_input']['subtotals_in_kgco2e'] = list() |
|
| 725 | result['base_period_input']['subtotals_per_unit_area'] = list() |
|
| 726 | result['base_period_input']['total_in_kgce'] = Decimal(0.0) |
|
| 727 | result['base_period_input']['total_in_kgco2e'] = Decimal(0.0) |
|
| 728 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 729 | for energy_category_id in energy_category_set: |
|
| 730 | result['base_period_input']['names'].append( |
|
| 731 | energy_category_dict[energy_category_id]['name']) |
|
| 732 | result['base_period_input']['units'].append( |
|
| 733 | energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 734 | result['base_period_input']['timestamps'].append( |
|
| 735 | base_input[energy_category_id]['timestamps']) |
|
| 736 | result['base_period_input']['values'].append( |
|
| 737 | base_input[energy_category_id]['values']) |
|
| 738 | result['base_period_input']['subtotals'].append( |
|
| 739 | base_input[energy_category_id]['subtotal']) |
|
| 740 | result['base_period_input']['subtotals_in_kgce'].append( |
|
| 741 | base_input[energy_category_id]['subtotal_in_kgce']) |
|
| 742 | result['base_period_input']['subtotals_in_kgco2e'].append( |
|
| 743 | base_input[energy_category_id]['subtotal_in_kgco2e']) |
|
| 744 | result['base_period_input']['subtotals_per_unit_area'].append( |
|
| 745 | base_input[energy_category_id]['subtotal'] / space['area'] |
|
| 746 | if space['area'] > 0.0 else None) |
|
| 747 | result['base_period_input']['total_in_kgce'] += \ |
|
| 748 | base_input[energy_category_id]['subtotal_in_kgce'] |
|
| 749 | result['base_period_input']['total_in_kgco2e'] += \ |
|
| 750 | base_input[energy_category_id]['subtotal_in_kgco2e'] |
|
| 751 | ||
| 752 | result['sensor'] = dict() |
|
| 753 | result['point'] = dict() |
|
| 754 | result['sensor'] = sensor_dict |
|
| 755 | result['point'] = point_data_dict |
|
| 756 | ||
| 757 | result['base_period_cost'] = dict() |
|
| 758 | result['base_period_cost']['names'] = list() |
|
| 759 | result['base_period_cost']['units'] = list() |
|
| 760 | result['base_period_cost']['timestamps'] = list() |
|
| 761 | result['base_period_cost']['values'] = list() |
|
| 762 | result['base_period_cost']['subtotals'] = list() |
|
| 763 | result['base_period_cost']['subtotals_per_unit_area'] = list() |
|
| 764 | result['base_period_cost']['total'] = Decimal(0.0) |
|
| 765 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 766 | for energy_category_id in energy_category_set: |
|
| 767 | result['base_period_cost']['names'].append( |
|
| 768 | energy_category_dict[energy_category_id]['name']) |
|
| 769 | result['base_period_cost']['units'].append(config.currency_unit) |
|
| 770 | result['base_period_cost']['timestamps'].append( |
|
| 771 | base_cost[energy_category_id]['timestamps']) |
|
| 772 | result['base_period_cost']['values'].append( |
|
| 773 | base_cost[energy_category_id]['values']) |
|
| 774 | result['base_period_cost']['subtotals'].append( |
|
| 775 | base_cost[energy_category_id]['subtotal']) |
|
| 776 | result['base_period_cost']['subtotals_per_unit_area'].append( |
|
| 777 | base_cost[energy_category_id]['subtotal'] / space['area'] |
|
| 778 | if space['area'] > 0.0 else None) |
|
| 779 | result['base_period_cost']['total'] += base_cost[energy_category_id]['subtotal'] |
|
| 780 | ||
| 781 | result['reporting_period_input'] = dict() |
|
| 782 | result['reporting_period_input']['names'] = list() |
|
| 783 | result['reporting_period_input']['energy_category_ids'] = list() |
|
| 784 | result['reporting_period_input']['units'] = list() |
|
| 785 | result['reporting_period_input']['timestamps'] = list() |
|
| 786 | result['reporting_period_input']['values'] = list() |
|
| 787 | result['reporting_period_input']['subtotals'] = list() |
|
| 788 | result['reporting_period_input']['subtotals_in_kgce'] = list() |
|
| 789 | result['reporting_period_input']['subtotals_in_kgco2e'] = list() |
|
| 790 | result['reporting_period_input']['subtotals_per_unit_area'] = list() |
|
| 791 | result['reporting_period_input']['toppeaks'] = list() |
|
| 792 | result['reporting_period_input']['onpeaks'] = list() |
|
| 793 | result['reporting_period_input']['midpeaks'] = list() |
|
| 794 | result['reporting_period_input']['offpeaks'] = list() |
|
| 795 | result['reporting_period_input']['deeps'] = list() |
|
| 796 | result['reporting_period_input']['increment_rates'] = list() |
|
| 797 | result['reporting_period_input']['total_in_kgce'] = Decimal(0.0) |
|
| 798 | result['reporting_period_input']['total_in_kgco2e'] = Decimal(0.0) |
|
| 799 | result['reporting_period_input']['increment_rate_in_kgce'] = Decimal(0.0) |
|
| 800 | result['reporting_period_input']['increment_rate_in_kgco2e'] = Decimal(0.0) |
|
| 801 | ||
| 802 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 803 | for energy_category_id in energy_category_set: |
|
| 804 | result['reporting_period_input']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 805 | result['reporting_period_input']['energy_category_ids'].append(energy_category_id) |
|
| 806 | result['reporting_period_input']['units'].append( |
|
| 807 | energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 808 | result['reporting_period_input']['timestamps'].append( |
|
| 809 | reporting_input[energy_category_id]['timestamps']) |
|
| 810 | result['reporting_period_input']['values'].append( |
|
| 811 | reporting_input[energy_category_id]['values']) |
|
| 812 | result['reporting_period_input']['subtotals'].append( |
|
| 813 | reporting_input[energy_category_id]['subtotal']) |
|
| 814 | result['reporting_period_input']['subtotals_in_kgce'].append( |
|
| 815 | reporting_input[energy_category_id]['subtotal_in_kgce']) |
|
| 816 | result['reporting_period_input']['subtotals_in_kgco2e'].append( |
|
| 817 | reporting_input[energy_category_id]['subtotal_in_kgco2e']) |
|
| 818 | result['reporting_period_input']['subtotals_per_unit_area'].append( |
|
| 819 | reporting_input[energy_category_id]['subtotal'] / space['area'] |
|
| 820 | if space['area'] > 0.0 else None) |
|
| 821 | result['reporting_period_input']['toppeaks'].append( |
|
| 822 | reporting_input[energy_category_id]['toppeak']) |
|
| 823 | result['reporting_period_input']['onpeaks'].append( |
|
| 824 | reporting_input[energy_category_id]['onpeak']) |
|
| 825 | result['reporting_period_input']['midpeaks'].append( |
|
| 826 | reporting_input[energy_category_id]['midpeak']) |
|
| 827 | result['reporting_period_input']['offpeaks'].append( |
|
| 828 | reporting_input[energy_category_id]['offpeak']) |
|
| 829 | result['reporting_period_input']['deeps'].append( |
|
| 830 | reporting_input[energy_category_id]['deep']) |
|
| 831 | result['reporting_period_input']['increment_rates'].append( |
|
| 832 | (reporting_input[energy_category_id]['subtotal'] - |
|
| 833 | base_input[energy_category_id]['subtotal']) / |
|
| 834 | base_input[energy_category_id]['subtotal'] |
|
| 835 | if base_input[energy_category_id]['subtotal'] > 0.0 else None) |
|
| 836 | result['reporting_period_input']['total_in_kgce'] += \ |
|
| 837 | reporting_input[energy_category_id]['subtotal_in_kgce'] |
|
| 838 | result['reporting_period_input']['total_in_kgco2e'] += \ |
|
| 839 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] |
|
| 840 | ||
| 841 | result['reporting_period_input']['total_in_kgco2e_per_unit_area'] = \ |
|
| 842 | result['reporting_period_input']['total_in_kgce'] / space['area'] if space['area'] > 0.0 else None |
|
| 843 | ||
| 844 | result['reporting_period_input']['increment_rate_in_kgce'] = \ |
|
| 845 | (result['reporting_period_input']['total_in_kgce'] - result['base_period_input']['total_in_kgce']) / \ |
|
| 846 | result['base_period_input']['total_in_kgce'] \ |
|
| 847 | if result['base_period_input']['total_in_kgce'] > Decimal(0.0) else None |
|
| 848 | ||
| 849 | result['reporting_period_input']['total_in_kgce_per_unit_area'] = \ |
|
| 850 | result['reporting_period_input']['total_in_kgco2e'] / space['area'] if space['area'] > 0.0 else None |
|
| 851 | ||
| 852 | result['reporting_period_input']['increment_rate_in_kgco2e'] = \ |
|
| 853 | (result['reporting_period_input']['total_in_kgco2e'] - result['base_period_input']['total_in_kgco2e']) / \ |
|
| 854 | result['base_period_input']['total_in_kgco2e'] \ |
|
| 855 | if result['base_period_input']['total_in_kgco2e'] > Decimal(0.0) else None |
|
| 856 | ||
| 857 | result['reporting_period_cost'] = dict() |
|
| 858 | result['reporting_period_cost']['names'] = list() |
|
| 859 | result['reporting_period_cost']['energy_category_ids'] = list() |
|
| 860 | result['reporting_period_cost']['units'] = list() |
|
| 861 | result['reporting_period_cost']['timestamps'] = list() |
|
| 862 | result['reporting_period_cost']['values'] = list() |
|
| 863 | result['reporting_period_cost']['subtotals'] = list() |
|
| 864 | result['reporting_period_cost']['subtotals_per_unit_area'] = list() |
|
| 865 | result['reporting_period_cost']['toppeaks'] = list() |
|
| 866 | result['reporting_period_cost']['onpeaks'] = list() |
|
| 867 | result['reporting_period_cost']['midpeaks'] = list() |
|
| 868 | result['reporting_period_cost']['offpeaks'] = list() |
|
| 869 | result['reporting_period_cost']['deeps'] = list() |
|
| 870 | result['reporting_period_cost']['increment_rates'] = list() |
|
| 871 | result['reporting_period_cost']['total'] = Decimal(0.0) |
|
| 872 | result['reporting_period_cost']['total_per_unit_area'] = Decimal(0.0) |
|
| 873 | result['reporting_period_cost']['total_increment_rate'] = Decimal(0.0) |
|
| 874 | result['reporting_period_cost']['total_unit'] = config.currency_unit |
|
| 875 | ||
| 876 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 877 | for energy_category_id in energy_category_set: |
|
| 878 | result['reporting_period_cost']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 879 | result['reporting_period_cost']['energy_category_ids'].append(energy_category_id) |
|
| 880 | result['reporting_period_cost']['units'].append(config.currency_unit) |
|
| 881 | result['reporting_period_cost']['timestamps'].append( |
|
| 882 | reporting_cost[energy_category_id]['timestamps']) |
|
| 883 | result['reporting_period_cost']['values'].append( |
|
| 884 | reporting_cost[energy_category_id]['values']) |
|
| 885 | result['reporting_period_cost']['subtotals'].append( |
|
| 886 | reporting_cost[energy_category_id]['subtotal']) |
|
| 887 | result['reporting_period_cost']['subtotals_per_unit_area'].append( |
|
| 888 | reporting_cost[energy_category_id]['subtotal'] / space['area'] |
|
| 889 | if space['area'] > 0.0 else None) |
|
| 890 | result['reporting_period_cost']['toppeaks'].append( |
|
| 891 | reporting_cost[energy_category_id]['toppeak']) |
|
| 892 | result['reporting_period_cost']['onpeaks'].append( |
|
| 893 | reporting_cost[energy_category_id]['onpeak']) |
|
| 894 | result['reporting_period_cost']['midpeaks'].append( |
|
| 895 | reporting_cost[energy_category_id]['midpeak']) |
|
| 896 | result['reporting_period_cost']['offpeaks'].append( |
|
| 897 | reporting_cost[energy_category_id]['offpeak']) |
|
| 898 | result['reporting_period_cost']['deeps'].append( |
|
| 899 | reporting_cost[energy_category_id]['deep']) |
|
| 900 | result['reporting_period_cost']['increment_rates'].append( |
|
| 901 | (reporting_cost[energy_category_id]['subtotal'] - |
|
| 902 | base_cost[energy_category_id]['subtotal']) / |
|
| 903 | base_cost[energy_category_id]['subtotal'] |
|
| 904 | if base_cost[energy_category_id]['subtotal'] > 0.0 else None) |
|
| 905 | result['reporting_period_cost']['total'] += reporting_cost[energy_category_id]['subtotal'] |
|
| 906 | result['reporting_period_cost']['total_per_unit_area'] = \ |
|
| 907 | result['reporting_period_cost']['total'] / space['area'] if space['area'] > 0.0 else None |
|
| 908 | ||
| 909 | result['reporting_period_cost']['total_increment_rate'] = \ |
|
| 910 | (result['reporting_period_cost']['total'] - result['base_period_cost']['total']) / \ |
|
| 911 | result['reporting_period_cost']['total'] \ |
|
| 912 | if result['reporting_period_cost']['total'] > Decimal(0.0) else None |
|
| 913 | ||
| 914 | result['child_space_input'] = dict() |
|
| 915 | result['child_space_input']['energy_category_names'] = list() # 1D array [energy category] |
|
| 916 | result['child_space_input']['units'] = list() # 1D array [energy category] |
|
| 917 | result['child_space_input']['child_space_names_array'] = list() # 2D array [energy category][child space] |
|
| 918 | result['child_space_input']['subtotals_array'] = list() # 2D array [energy category][child space] |
|
| 919 | result['child_space_input']['subtotals_in_kgce_array'] = list() # 2D array [energy category][child space] |
|
| 920 | result['child_space_input']['subtotals_in_kgco2e_array'] = list() # 2D array [energy category][child space] |
|
| 921 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 922 | for energy_category_id in energy_category_set: |
|
| 923 | result['child_space_input']['energy_category_names'].append( |
|
| 924 | energy_category_dict[energy_category_id]['name']) |
|
| 925 | result['child_space_input']['units'].append( |
|
| 926 | energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 927 | result['child_space_input']['child_space_names_array'].append( |
|
| 928 | child_space_input[energy_category_id]['child_space_names']) |
|
| 929 | result['child_space_input']['subtotals_array'].append( |
|
| 930 | child_space_input[energy_category_id]['subtotals']) |
|
| 931 | result['child_space_input']['subtotals_in_kgce_array'].append( |
|
| 932 | child_space_input[energy_category_id]['subtotals_in_kgce']) |
|
| 933 | result['child_space_input']['subtotals_in_kgco2e_array'].append( |
|
| 934 | child_space_input[energy_category_id]['subtotals_in_kgco2e']) |
|
| 935 | ||
| 936 | result['child_space_cost'] = dict() |
|
| 937 | result['child_space_cost']['energy_category_names'] = list() # 1D array [energy category] |
|
| 938 | result['child_space_cost']['units'] = list() # 1D array [energy category] |
|
| 939 | result['child_space_cost']['child_space_names_array'] = list() # 2D array [energy category][child space] |
|
| 940 | result['child_space_cost']['subtotals_array'] = list() # 2D array [energy category][child space] |
|
| 941 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 942 | for energy_category_id in energy_category_set: |
|
| 943 | result['child_space_cost']['energy_category_names'].append( |
|
| 944 | energy_category_dict[energy_category_id]['name']) |
|
| 945 | result['child_space_cost']['units'].append(config.currency_unit) |
|
| 946 | result['child_space_cost']['child_space_names_array'].append( |
|
| 947 | child_space_cost[energy_category_id]['child_space_names']) |
|
| 948 | result['child_space_cost']['subtotals_array'].append( |
|
| 949 | child_space_cost[energy_category_id]['subtotals']) |
|
| 950 | ||
| 951 | resp.text = json.dumps(result) |
|
| 952 | ||
