MyEMS /
myems
| @@ 13-754 (lines=742) @@ | ||
| 10 | from core.useractivity import access_control, api_key_control |
|
| 11 | ||
| 12 | ||
| 13 | class Reporting: |
|
| 14 | def __init__(self): |
|
| 15 | """"Initializes Reporting""" |
|
| 16 | pass |
|
| 17 | ||
| 18 | @staticmethod |
|
| 19 | def on_options(req, resp): |
|
| 20 | _ = req |
|
| 21 | resp.status = falcon.HTTP_200 |
|
| 22 | ||
| 23 | #################################################################################################################### |
|
| 24 | # PROCEDURES |
|
| 25 | # Step 1: valid parameters |
|
| 26 | # Step 2: query the equipment |
|
| 27 | # Step 3: query energy categories |
|
| 28 | # Step 4: query associated points |
|
| 29 | # Step 5: query base period energy saving |
|
| 30 | # Step 6: query reporting period energy saving |
|
| 31 | # Step 7: query tariff data |
|
| 32 | # Step 8: query associated points data |
|
| 33 | # Step 10: construct the report |
|
| 34 | #################################################################################################################### |
|
| 35 | @staticmethod |
|
| 36 | def on_get(req, resp): |
|
| 37 | if 'API-KEY' not in req.headers or \ |
|
| 38 | not isinstance(req.headers['API-KEY'], str) or \ |
|
| 39 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
| 40 | access_control(req) |
|
| 41 | else: |
|
| 42 | api_key_control(req) |
|
| 43 | print(req.params) |
|
| 44 | equipment_id = req.params.get('equipmentid') |
|
| 45 | equipment_uuid = req.params.get('equipmentuuid') |
|
| 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 | language = req.params.get('language') |
|
| 52 | quick_mode = req.params.get('quickmode') |
|
| 53 | ||
| 54 | ################################################################################################################ |
|
| 55 | # Step 1: valid parameters |
|
| 56 | ################################################################################################################ |
|
| 57 | if equipment_id is None and equipment_uuid is None: |
|
| 58 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 59 | title='API.BAD_REQUEST', |
|
| 60 | description='API.INVALID_EQUIPMENT_ID') |
|
| 61 | ||
| 62 | if equipment_id is not None: |
|
| 63 | equipment_id = str.strip(equipment_id) |
|
| 64 | if not equipment_id.isdigit() or int(equipment_id) <= 0: |
|
| 65 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 66 | title='API.BAD_REQUEST', |
|
| 67 | description='API.INVALID_EQUIPMENT_ID') |
|
| 68 | ||
| 69 | if equipment_uuid is not None: |
|
| 70 | regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
|
| 71 | match = regex.match(str.strip(equipment_uuid)) |
|
| 72 | if not bool(match): |
|
| 73 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 74 | title='API.BAD_REQUEST', |
|
| 75 | description='API.INVALID_EQUIPMENT_UUID') |
|
| 76 | ||
| 77 | if period_type is None: |
|
| 78 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 79 | description='API.INVALID_PERIOD_TYPE') |
|
| 80 | else: |
|
| 81 | period_type = str.strip(period_type) |
|
| 82 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
| 83 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 84 | description='API.INVALID_PERIOD_TYPE') |
|
| 85 | ||
| 86 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 87 | if config.utc_offset[0] == '-': |
|
| 88 | timezone_offset = -timezone_offset |
|
| 89 | ||
| 90 | base_start_datetime_utc = None |
|
| 91 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
| 92 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
| 93 | try: |
|
| 94 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 95 | except ValueError: |
|
| 96 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 97 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 98 | base_start_datetime_utc = \ |
|
| 99 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 100 | # nomalize the start datetime |
|
| 101 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
| 102 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 103 | else: |
|
| 104 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 105 | ||
| 106 | base_end_datetime_utc = None |
|
| 107 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
| 108 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
| 109 | try: |
|
| 110 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 111 | except ValueError: |
|
| 112 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 113 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 114 | base_end_datetime_utc = \ |
|
| 115 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 116 | ||
| 117 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 118 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 119 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 120 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 121 | ||
| 122 | if reporting_period_start_datetime_local is None: |
|
| 123 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 124 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 125 | else: |
|
| 126 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
| 127 | try: |
|
| 128 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
| 129 | '%Y-%m-%dT%H:%M:%S') |
|
| 130 | except ValueError: |
|
| 131 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 132 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 133 | reporting_start_datetime_utc = \ |
|
| 134 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 135 | # nomalize the start datetime |
|
| 136 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
| 137 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 138 | else: |
|
| 139 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 140 | ||
| 141 | if reporting_period_end_datetime_local is None: |
|
| 142 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 143 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 144 | else: |
|
| 145 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
| 146 | try: |
|
| 147 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
| 148 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 149 | timedelta(minutes=timezone_offset) |
|
| 150 | except ValueError: |
|
| 151 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 152 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 153 | ||
| 154 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 155 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 156 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 157 | ||
| 158 | # if turn quick mode on, do not return parameters data and excel file |
|
| 159 | is_quick_mode = False |
|
| 160 | if quick_mode is not None and \ |
|
| 161 | len(str.strip(quick_mode)) > 0 and \ |
|
| 162 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
|
| 163 | is_quick_mode = True |
|
| 164 | ||
| 165 | trans = utilities.get_translation(language) |
|
| 166 | trans.install() |
|
| 167 | _ = trans.gettext |
|
| 168 | ||
| 169 | ################################################################################################################ |
|
| 170 | # Step 2: query the equipment |
|
| 171 | ################################################################################################################ |
|
| 172 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 173 | cursor_system = cnx_system.cursor() |
|
| 174 | ||
| 175 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
| 176 | cursor_energy = cnx_energy.cursor() |
|
| 177 | ||
| 178 | cnx_energy_plan = mysql.connector.connect(**config.myems_energy_plan_db) |
|
| 179 | cursor_energy_plan = cnx_energy_plan.cursor() |
|
| 180 | ||
| 181 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 182 | cursor_historical = cnx_historical.cursor() |
|
| 183 | ||
| 184 | if equipment_id is not None: |
|
| 185 | cursor_system.execute(" SELECT id, name, cost_center_id " |
|
| 186 | " FROM tbl_equipments " |
|
| 187 | " WHERE id = %s ", (equipment_id,)) |
|
| 188 | row_equipment = cursor_system.fetchone() |
|
| 189 | elif equipment_uuid is not None: |
|
| 190 | cursor_system.execute(" SELECT id, name, cost_center_id " |
|
| 191 | " FROM tbl_equipments " |
|
| 192 | " WHERE uuid = %s ", (equipment_uuid,)) |
|
| 193 | row_equipment = cursor_system.fetchone() |
|
| 194 | ||
| 195 | if row_equipment is None: |
|
| 196 | if cursor_system: |
|
| 197 | cursor_system.close() |
|
| 198 | if cnx_system: |
|
| 199 | cnx_system.close() |
|
| 200 | ||
| 201 | if cursor_energy: |
|
| 202 | cursor_energy.close() |
|
| 203 | if cnx_energy: |
|
| 204 | cnx_energy.close() |
|
| 205 | ||
| 206 | if cursor_energy_plan: |
|
| 207 | cursor_energy_plan.close() |
|
| 208 | if cnx_energy_plan: |
|
| 209 | cnx_energy_plan.close() |
|
| 210 | ||
| 211 | if cursor_historical: |
|
| 212 | cursor_historical.close() |
|
| 213 | if cnx_historical: |
|
| 214 | cnx_historical.close() |
|
| 215 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', description='API.EQUIPMENT_NOT_FOUND') |
|
| 216 | ||
| 217 | equipment = dict() |
|
| 218 | equipment['id'] = row_equipment[0] |
|
| 219 | equipment['name'] = row_equipment[1] |
|
| 220 | equipment['cost_center_id'] = row_equipment[2] |
|
| 221 | ||
| 222 | ################################################################################################################ |
|
| 223 | # Step 3: query energy categories |
|
| 224 | ################################################################################################################ |
|
| 225 | energy_category_set = set() |
|
| 226 | # query energy categories in base period |
|
| 227 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 228 | " FROM tbl_equipment_input_category_hourly " |
|
| 229 | " WHERE equipment_id = %s " |
|
| 230 | " AND start_datetime_utc >= %s " |
|
| 231 | " AND start_datetime_utc < %s ", |
|
| 232 | (equipment['id'], base_start_datetime_utc, base_end_datetime_utc)) |
|
| 233 | rows_energy_categories = cursor_energy.fetchall() |
|
| 234 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 235 | for row_energy_category in rows_energy_categories: |
|
| 236 | energy_category_set.add(row_energy_category[0]) |
|
| 237 | ||
| 238 | # query energy categories in reporting period |
|
| 239 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 240 | " FROM tbl_equipment_input_category_hourly " |
|
| 241 | " WHERE equipment_id = %s " |
|
| 242 | " AND start_datetime_utc >= %s " |
|
| 243 | " AND start_datetime_utc < %s ", |
|
| 244 | (equipment['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
| 245 | rows_energy_categories = cursor_energy.fetchall() |
|
| 246 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 247 | for row_energy_category in rows_energy_categories: |
|
| 248 | energy_category_set.add(row_energy_category[0]) |
|
| 249 | ||
| 250 | # query all energy categories in base period and reporting period |
|
| 251 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 252 | " FROM tbl_energy_categories " |
|
| 253 | " ORDER BY id ", ) |
|
| 254 | rows_energy_categories = cursor_system.fetchall() |
|
| 255 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 256 | if cursor_system: |
|
| 257 | cursor_system.close() |
|
| 258 | if cnx_system: |
|
| 259 | cnx_system.close() |
|
| 260 | ||
| 261 | if cursor_energy: |
|
| 262 | cursor_energy.close() |
|
| 263 | if cnx_energy: |
|
| 264 | cnx_energy.close() |
|
| 265 | ||
| 266 | if cursor_energy_plan: |
|
| 267 | cursor_energy_plan.close() |
|
| 268 | if cnx_energy_plan: |
|
| 269 | cnx_energy_plan.close() |
|
| 270 | ||
| 271 | if cursor_historical: |
|
| 272 | cursor_historical.close() |
|
| 273 | if cnx_historical: |
|
| 274 | cnx_historical.close() |
|
| 275 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 276 | title='API.NOT_FOUND', |
|
| 277 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 278 | energy_category_dict = dict() |
|
| 279 | for row_energy_category in rows_energy_categories: |
|
| 280 | if row_energy_category[0] in energy_category_set: |
|
| 281 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 282 | "unit_of_measure": row_energy_category[2], |
|
| 283 | "kgce": row_energy_category[3], |
|
| 284 | "kgco2e": row_energy_category[4]} |
|
| 285 | ||
| 286 | ################################################################################################################ |
|
| 287 | # Step 4: query associated points |
|
| 288 | ################################################################################################################ |
|
| 289 | point_list = list() |
|
| 290 | cursor_system.execute(" SELECT p.id, ep.name, p.units, p.object_type " |
|
| 291 | " FROM tbl_equipments e, tbl_equipments_parameters ep, tbl_points p " |
|
| 292 | " WHERE e.id = %s AND e.id = ep.equipment_id AND ep.parameter_type = 'point' " |
|
| 293 | " AND ep.point_id = p.id " |
|
| 294 | " ORDER BY p.id ", (equipment['id'],)) |
|
| 295 | rows_points = cursor_system.fetchall() |
|
| 296 | if rows_points is not None and len(rows_points) > 0: |
|
| 297 | for row in rows_points: |
|
| 298 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
|
| 299 | ||
| 300 | ################################################################################################################ |
|
| 301 | # Step 5: query base period energy saving |
|
| 302 | ################################################################################################################ |
|
| 303 | base = dict() |
|
| 304 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 305 | for energy_category_id in energy_category_set: |
|
| 306 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 307 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 308 | ||
| 309 | base[energy_category_id] = dict() |
|
| 310 | base[energy_category_id]['timestamps'] = list() |
|
| 311 | base[energy_category_id]['values_plan'] = list() |
|
| 312 | base[energy_category_id]['values_actual'] = list() |
|
| 313 | base[energy_category_id]['values_saving'] = list() |
|
| 314 | base[energy_category_id]['subtotal_plan'] = Decimal(0.0) |
|
| 315 | base[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
|
| 316 | base[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
|
| 317 | base[energy_category_id]['subtotal_in_kgce_plan'] = Decimal(0.0) |
|
| 318 | base[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
|
| 319 | base[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
|
| 320 | base[energy_category_id]['subtotal_in_kgco2e_plan'] = Decimal(0.0) |
|
| 321 | base[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
|
| 322 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
|
| 323 | # query base period's energy plan |
|
| 324 | cursor_energy_plan.execute(" SELECT start_datetime_utc, actual_value " |
|
| 325 | " FROM tbl_equipment_input_category_hourly " |
|
| 326 | " WHERE equipment_id = %s " |
|
| 327 | " AND energy_category_id = %s " |
|
| 328 | " AND start_datetime_utc >= %s " |
|
| 329 | " AND start_datetime_utc < %s " |
|
| 330 | " ORDER BY start_datetime_utc ", |
|
| 331 | (equipment['id'], |
|
| 332 | energy_category_id, |
|
| 333 | base_start_datetime_utc, |
|
| 334 | base_end_datetime_utc)) |
|
| 335 | rows_equipment_hourly = cursor_energy_plan.fetchall() |
|
| 336 | ||
| 337 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 338 | base_start_datetime_utc, |
|
| 339 | base_end_datetime_utc, |
|
| 340 | period_type) |
|
| 341 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 342 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 343 | timedelta(minutes=timezone_offset) |
|
| 344 | if period_type == 'hourly': |
|
| 345 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 346 | elif period_type == 'daily': |
|
| 347 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 348 | elif period_type == 'weekly': |
|
| 349 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 350 | elif period_type == 'monthly': |
|
| 351 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 352 | elif period_type == 'yearly': |
|
| 353 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 354 | ||
| 355 | plan_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 356 | else row_equipment_periodically[1] |
|
| 357 | base[energy_category_id]['timestamps'].append(current_datetime) |
|
| 358 | base[energy_category_id]['values_plan'].append(plan_value) |
|
| 359 | base[energy_category_id]['subtotal_plan'] += plan_value |
|
| 360 | base[energy_category_id]['subtotal_in_kgce_plan'] += plan_value * kgce |
|
| 361 | base[energy_category_id]['subtotal_in_kgco2e_plan'] += plan_value * kgco2e |
|
| 362 | ||
| 363 | # query base period's energy actual |
|
| 364 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 365 | " FROM tbl_equipment_input_category_hourly " |
|
| 366 | " WHERE equipment_id = %s " |
|
| 367 | " AND energy_category_id = %s " |
|
| 368 | " AND start_datetime_utc >= %s " |
|
| 369 | " AND start_datetime_utc < %s " |
|
| 370 | " ORDER BY start_datetime_utc ", |
|
| 371 | (equipment['id'], |
|
| 372 | energy_category_id, |
|
| 373 | base_start_datetime_utc, |
|
| 374 | base_end_datetime_utc)) |
|
| 375 | rows_equipment_hourly = cursor_energy.fetchall() |
|
| 376 | ||
| 377 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 378 | base_start_datetime_utc, |
|
| 379 | base_end_datetime_utc, |
|
| 380 | period_type) |
|
| 381 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 382 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 383 | timedelta(minutes=timezone_offset) |
|
| 384 | if period_type == 'hourly': |
|
| 385 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 386 | elif period_type == 'daily': |
|
| 387 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 388 | elif period_type == 'weekly': |
|
| 389 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 390 | elif period_type == 'monthly': |
|
| 391 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 392 | elif period_type == 'yearly': |
|
| 393 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 394 | ||
| 395 | actual_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 396 | else row_equipment_periodically[1] |
|
| 397 | base[energy_category_id]['values_actual'].append(actual_value) |
|
| 398 | base[energy_category_id]['subtotal_actual'] += actual_value |
|
| 399 | base[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
|
| 400 | base[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
|
| 401 | ||
| 402 | # calculate base period's energy savings |
|
| 403 | for i in range(len(base[energy_category_id]['values_plan'])): |
|
| 404 | base[energy_category_id]['values_saving'].append( |
|
| 405 | base[energy_category_id]['values_plan'][i] - |
|
| 406 | base[energy_category_id]['values_actual'][i]) |
|
| 407 | ||
| 408 | base[energy_category_id]['subtotal_saving'] = \ |
|
| 409 | base[energy_category_id]['subtotal_plan'] - \ |
|
| 410 | base[energy_category_id]['subtotal_actual'] |
|
| 411 | base[energy_category_id]['subtotal_in_kgce_saving'] = \ |
|
| 412 | base[energy_category_id]['subtotal_in_kgce_plan'] - \ |
|
| 413 | base[energy_category_id]['subtotal_in_kgce_actual'] |
|
| 414 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
|
| 415 | base[energy_category_id]['subtotal_in_kgco2e_plan'] - \ |
|
| 416 | base[energy_category_id]['subtotal_in_kgco2e_actual'] |
|
| 417 | ################################################################################################################ |
|
| 418 | # Step 5: query reporting period energy saving |
|
| 419 | ################################################################################################################ |
|
| 420 | reporting = dict() |
|
| 421 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 422 | for energy_category_id in energy_category_set: |
|
| 423 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 424 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 425 | ||
| 426 | reporting[energy_category_id] = dict() |
|
| 427 | reporting[energy_category_id]['timestamps'] = list() |
|
| 428 | reporting[energy_category_id]['values_plan'] = list() |
|
| 429 | reporting[energy_category_id]['values_actual'] = list() |
|
| 430 | reporting[energy_category_id]['values_saving'] = list() |
|
| 431 | reporting[energy_category_id]['subtotal_plan'] = Decimal(0.0) |
|
| 432 | reporting[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
|
| 433 | reporting[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
|
| 434 | reporting[energy_category_id]['subtotal_in_kgce_plan'] = Decimal(0.0) |
|
| 435 | reporting[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
|
| 436 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
|
| 437 | reporting[energy_category_id]['subtotal_in_kgco2e_plan'] = Decimal(0.0) |
|
| 438 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
|
| 439 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
|
| 440 | # query reporting period's energy plan |
|
| 441 | cursor_energy_plan.execute(" SELECT start_datetime_utc, actual_value " |
|
| 442 | " FROM tbl_equipment_input_category_hourly " |
|
| 443 | " WHERE equipment_id = %s " |
|
| 444 | " AND energy_category_id = %s " |
|
| 445 | " AND start_datetime_utc >= %s " |
|
| 446 | " AND start_datetime_utc < %s " |
|
| 447 | " ORDER BY start_datetime_utc ", |
|
| 448 | (equipment['id'], |
|
| 449 | energy_category_id, |
|
| 450 | reporting_start_datetime_utc, |
|
| 451 | reporting_end_datetime_utc)) |
|
| 452 | rows_equipment_hourly = cursor_energy_plan.fetchall() |
|
| 453 | ||
| 454 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 455 | reporting_start_datetime_utc, |
|
| 456 | reporting_end_datetime_utc, |
|
| 457 | period_type) |
|
| 458 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 459 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 460 | timedelta(minutes=timezone_offset) |
|
| 461 | if period_type == 'hourly': |
|
| 462 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 463 | elif period_type == 'daily': |
|
| 464 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 465 | elif period_type == 'weekly': |
|
| 466 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 467 | elif period_type == 'monthly': |
|
| 468 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 469 | elif period_type == 'yearly': |
|
| 470 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 471 | ||
| 472 | plan_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 473 | else row_equipment_periodically[1] |
|
| 474 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
|
| 475 | reporting[energy_category_id]['values_plan'].append(plan_value) |
|
| 476 | reporting[energy_category_id]['subtotal_plan'] += plan_value |
|
| 477 | reporting[energy_category_id]['subtotal_in_kgce_plan'] += plan_value * kgce |
|
| 478 | reporting[energy_category_id]['subtotal_in_kgco2e_plan'] += plan_value * kgco2e |
|
| 479 | ||
| 480 | # query reporting period's energy actual |
|
| 481 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 482 | " FROM tbl_equipment_input_category_hourly " |
|
| 483 | " WHERE equipment_id = %s " |
|
| 484 | " AND energy_category_id = %s " |
|
| 485 | " AND start_datetime_utc >= %s " |
|
| 486 | " AND start_datetime_utc < %s " |
|
| 487 | " ORDER BY start_datetime_utc ", |
|
| 488 | (equipment['id'], |
|
| 489 | energy_category_id, |
|
| 490 | reporting_start_datetime_utc, |
|
| 491 | reporting_end_datetime_utc)) |
|
| 492 | rows_equipment_hourly = cursor_energy.fetchall() |
|
| 493 | ||
| 494 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 495 | reporting_start_datetime_utc, |
|
| 496 | reporting_end_datetime_utc, |
|
| 497 | period_type) |
|
| 498 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 499 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 500 | timedelta(minutes=timezone_offset) |
|
| 501 | if period_type == 'hourly': |
|
| 502 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 503 | elif period_type == 'daily': |
|
| 504 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 505 | elif period_type == 'weekly': |
|
| 506 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 507 | elif period_type == 'monthly': |
|
| 508 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 509 | elif period_type == 'yearly': |
|
| 510 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 511 | ||
| 512 | actual_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 513 | else row_equipment_periodically[1] |
|
| 514 | reporting[energy_category_id]['values_actual'].append(actual_value) |
|
| 515 | reporting[energy_category_id]['subtotal_actual'] += actual_value |
|
| 516 | reporting[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
|
| 517 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
|
| 518 | ||
| 519 | # calculate reporting period's energy savings |
|
| 520 | for i in range(len(reporting[energy_category_id]['values_plan'])): |
|
| 521 | reporting[energy_category_id]['values_saving'].append( |
|
| 522 | reporting[energy_category_id]['values_plan'][i] - |
|
| 523 | reporting[energy_category_id]['values_actual'][i]) |
|
| 524 | ||
| 525 | reporting[energy_category_id]['subtotal_saving'] = \ |
|
| 526 | reporting[energy_category_id]['subtotal_plan'] - \ |
|
| 527 | reporting[energy_category_id]['subtotal_actual'] |
|
| 528 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = \ |
|
| 529 | reporting[energy_category_id]['subtotal_in_kgce_plan'] - \ |
|
| 530 | reporting[energy_category_id]['subtotal_in_kgce_actual'] |
|
| 531 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
|
| 532 | reporting[energy_category_id]['subtotal_in_kgco2e_plan'] - \ |
|
| 533 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] |
|
| 534 | ################################################################################################################ |
|
| 535 | # Step 6: query tariff data |
|
| 536 | ################################################################################################################ |
|
| 537 | parameters_data = dict() |
|
| 538 | parameters_data['names'] = list() |
|
| 539 | parameters_data['timestamps'] = list() |
|
| 540 | parameters_data['values'] = list() |
|
| 541 | if not is_quick_mode: |
|
| 542 | if config.is_tariff_appended and energy_category_set is not None and len(energy_category_set) > 0: |
|
| 543 | for energy_category_id in energy_category_set: |
|
| 544 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(equipment['cost_center_id'], |
|
| 545 | energy_category_id, |
|
| 546 | reporting_start_datetime_utc, |
|
| 547 | reporting_end_datetime_utc) |
|
| 548 | tariff_timestamp_list = list() |
|
| 549 | tariff_value_list = list() |
|
| 550 | for k, v in energy_category_tariff_dict.items(): |
|
| 551 | # convert k from utc to local |
|
| 552 | k = k + timedelta(minutes=timezone_offset) |
|
| 553 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
|
| 554 | tariff_value_list.append(v) |
|
| 555 | ||
| 556 | parameters_data['names'].append(_('Tariff') + '-' |
|
| 557 | + energy_category_dict[energy_category_id]['name']) |
|
| 558 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
| 559 | parameters_data['values'].append(tariff_value_list) |
|
| 560 | ||
| 561 | ################################################################################################################ |
|
| 562 | # Step 7: query associated points data |
|
| 563 | ################################################################################################################ |
|
| 564 | if not is_quick_mode: |
|
| 565 | for point in point_list: |
|
| 566 | point_values = [] |
|
| 567 | point_timestamps = [] |
|
| 568 | if point['object_type'] == 'ENERGY_VALUE': |
|
| 569 | query = (" SELECT utc_date_time, actual_value " |
|
| 570 | " FROM tbl_energy_value " |
|
| 571 | " WHERE point_id = %s " |
|
| 572 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 573 | " ORDER BY utc_date_time ") |
|
| 574 | cursor_historical.execute(query, (point['id'], |
|
| 575 | reporting_start_datetime_utc, |
|
| 576 | reporting_end_datetime_utc)) |
|
| 577 | rows = cursor_historical.fetchall() |
|
| 578 | ||
| 579 | if rows is not None and len(rows) > 0: |
|
| 580 | for row in rows: |
|
| 581 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 582 | timedelta(minutes=timezone_offset) |
|
| 583 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 584 | point_timestamps.append(current_datetime) |
|
| 585 | point_values.append(row[1]) |
|
| 586 | elif point['object_type'] == 'ANALOG_VALUE': |
|
| 587 | query = (" SELECT utc_date_time, actual_value " |
|
| 588 | " FROM tbl_analog_value " |
|
| 589 | " WHERE point_id = %s " |
|
| 590 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 591 | " ORDER BY utc_date_time ") |
|
| 592 | cursor_historical.execute(query, (point['id'], |
|
| 593 | reporting_start_datetime_utc, |
|
| 594 | reporting_end_datetime_utc)) |
|
| 595 | rows = cursor_historical.fetchall() |
|
| 596 | ||
| 597 | if rows is not None and len(rows) > 0: |
|
| 598 | for row in rows: |
|
| 599 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 600 | timedelta(minutes=timezone_offset) |
|
| 601 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 602 | point_timestamps.append(current_datetime) |
|
| 603 | point_values.append(row[1]) |
|
| 604 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
| 605 | query = (" SELECT utc_date_time, actual_value " |
|
| 606 | " FROM tbl_digital_value " |
|
| 607 | " WHERE point_id = %s " |
|
| 608 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 609 | " ORDER BY utc_date_time ") |
|
| 610 | cursor_historical.execute(query, (point['id'], |
|
| 611 | reporting_start_datetime_utc, |
|
| 612 | reporting_end_datetime_utc)) |
|
| 613 | rows = cursor_historical.fetchall() |
|
| 614 | ||
| 615 | if rows is not None and len(rows) > 0: |
|
| 616 | for row in rows: |
|
| 617 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 618 | timedelta(minutes=timezone_offset) |
|
| 619 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 620 | point_timestamps.append(current_datetime) |
|
| 621 | point_values.append(row[1]) |
|
| 622 | ||
| 623 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
| 624 | parameters_data['timestamps'].append(point_timestamps) |
|
| 625 | parameters_data['values'].append(point_values) |
|
| 626 | ||
| 627 | ################################################################################################################ |
|
| 628 | # Step 8: construct the report |
|
| 629 | ################################################################################################################ |
|
| 630 | if cursor_system: |
|
| 631 | cursor_system.close() |
|
| 632 | if cnx_system: |
|
| 633 | cnx_system.close() |
|
| 634 | ||
| 635 | if cursor_energy: |
|
| 636 | cursor_energy.close() |
|
| 637 | if cnx_energy: |
|
| 638 | cnx_energy.close() |
|
| 639 | ||
| 640 | if cursor_energy_plan: |
|
| 641 | cursor_energy_plan.close() |
|
| 642 | if cnx_energy_plan: |
|
| 643 | cnx_energy_plan.close() |
|
| 644 | ||
| 645 | if cursor_historical: |
|
| 646 | cursor_historical.close() |
|
| 647 | if cnx_historical: |
|
| 648 | cnx_historical.close() |
|
| 649 | ||
| 650 | result = dict() |
|
| 651 | ||
| 652 | result['equipment'] = dict() |
|
| 653 | result['equipment']['name'] = equipment['name'] |
|
| 654 | ||
| 655 | result['base_period'] = dict() |
|
| 656 | result['base_period']['names'] = list() |
|
| 657 | result['base_period']['units'] = list() |
|
| 658 | result['base_period']['timestamps'] = list() |
|
| 659 | result['base_period']['values_saving'] = list() |
|
| 660 | result['base_period']['subtotals_saving'] = list() |
|
| 661 | result['base_period']['subtotals_in_kgce_saving'] = list() |
|
| 662 | result['base_period']['subtotals_in_kgco2e_saving'] = list() |
|
| 663 | result['base_period']['total_in_kgce_saving'] = Decimal(0.0) |
|
| 664 | result['base_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
|
| 665 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 666 | for energy_category_id in energy_category_set: |
|
| 667 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 668 | result['base_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 669 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
|
| 670 | result['base_period']['values_saving'].append(base[energy_category_id]['values_saving']) |
|
| 671 | result['base_period']['subtotals_saving'].append(base[energy_category_id]['subtotal_saving']) |
|
| 672 | result['base_period']['subtotals_in_kgce_saving'].append( |
|
| 673 | base[energy_category_id]['subtotal_in_kgce_saving']) |
|
| 674 | result['base_period']['subtotals_in_kgco2e_saving'].append( |
|
| 675 | base[energy_category_id]['subtotal_in_kgco2e_saving']) |
|
| 676 | result['base_period']['total_in_kgce_saving'] += base[energy_category_id]['subtotal_in_kgce_saving'] |
|
| 677 | result['base_period']['total_in_kgco2e_saving'] += base[energy_category_id]['subtotal_in_kgco2e_saving'] |
|
| 678 | ||
| 679 | result['reporting_period'] = dict() |
|
| 680 | result['reporting_period']['names'] = list() |
|
| 681 | result['reporting_period']['energy_category_ids'] = list() |
|
| 682 | result['reporting_period']['units'] = list() |
|
| 683 | result['reporting_period']['timestamps'] = list() |
|
| 684 | result['reporting_period']['values_saving'] = list() |
|
| 685 | result['reporting_period']['rates_saving'] = list() |
|
| 686 | result['reporting_period']['subtotals_saving'] = list() |
|
| 687 | result['reporting_period']['subtotals_in_kgce_saving'] = list() |
|
| 688 | result['reporting_period']['subtotals_in_kgco2e_saving'] = list() |
|
| 689 | result['reporting_period']['increment_rates_saving'] = list() |
|
| 690 | result['reporting_period']['total_in_kgce_saving'] = Decimal(0.0) |
|
| 691 | result['reporting_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
|
| 692 | result['reporting_period']['increment_rate_in_kgce_saving'] = Decimal(0.0) |
|
| 693 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = Decimal(0.0) |
|
| 694 | ||
| 695 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 696 | for energy_category_id in energy_category_set: |
|
| 697 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 698 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
| 699 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 700 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
| 701 | result['reporting_period']['values_saving'].append(reporting[energy_category_id]['values_saving']) |
|
| 702 | result['reporting_period']['subtotals_saving'].append(reporting[energy_category_id]['subtotal_saving']) |
|
| 703 | result['reporting_period']['subtotals_in_kgce_saving'].append( |
|
| 704 | reporting[energy_category_id]['subtotal_in_kgce_saving']) |
|
| 705 | result['reporting_period']['subtotals_in_kgco2e_saving'].append( |
|
| 706 | reporting[energy_category_id]['subtotal_in_kgco2e_saving']) |
|
| 707 | result['reporting_period']['increment_rates_saving'].append( |
|
| 708 | (reporting[energy_category_id]['subtotal_saving'] - base[energy_category_id]['subtotal_saving']) / |
|
| 709 | base[energy_category_id]['subtotal_saving'] |
|
| 710 | if base[energy_category_id]['subtotal_saving'] != Decimal(0.0) else None) |
|
| 711 | result['reporting_period']['total_in_kgce_saving'] += \ |
|
| 712 | reporting[energy_category_id]['subtotal_in_kgce_saving'] |
|
| 713 | result['reporting_period']['total_in_kgco2e_saving'] += \ |
|
| 714 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] |
|
| 715 | ||
| 716 | rate = list() |
|
| 717 | for index, value in enumerate(reporting[energy_category_id]['values_saving']): |
|
| 718 | if index < len(base[energy_category_id]['values_saving']) \ |
|
| 719 | and base[energy_category_id]['values_saving'][index] != 0 and value != 0: |
|
| 720 | rate.append((value - base[energy_category_id]['values_saving'][index]) |
|
| 721 | / base[energy_category_id]['values_saving'][index]) |
|
| 722 | else: |
|
| 723 | rate.append(None) |
|
| 724 | result['reporting_period']['rates_saving'].append(rate) |
|
| 725 | ||
| 726 | result['reporting_period']['increment_rate_in_kgce_saving'] = \ |
|
| 727 | (result['reporting_period']['total_in_kgce_saving'] - result['base_period']['total_in_kgce_saving']) / \ |
|
| 728 | result['base_period']['total_in_kgce_saving'] \ |
|
| 729 | if result['base_period']['total_in_kgce_saving'] != Decimal(0.0) else None |
|
| 730 | ||
| 731 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = \ |
|
| 732 | (result['reporting_period']['total_in_kgco2e_saving'] - result['base_period']['total_in_kgco2e_saving']) / \ |
|
| 733 | result['base_period']['total_in_kgco2e_saving'] \ |
|
| 734 | if result['base_period']['total_in_kgco2e_saving'] != Decimal(0.0) else None |
|
| 735 | ||
| 736 | result['parameters'] = { |
|
| 737 | "names": parameters_data['names'], |
|
| 738 | "timestamps": parameters_data['timestamps'], |
|
| 739 | "values": parameters_data['values'] |
|
| 740 | } |
|
| 741 | ||
| 742 | # export result to Excel file and then encode the file to base64 string |
|
| 743 | result['excel_bytes_base64'] = None |
|
| 744 | if not is_quick_mode: |
|
| 745 | result['excel_bytes_base64'] = excelexporters.equipmentplan.export(result, |
|
| 746 | equipment['name'], |
|
| 747 | base_period_start_datetime_local, |
|
| 748 | base_period_end_datetime_local, |
|
| 749 | reporting_period_start_datetime_local, |
|
| 750 | reporting_period_end_datetime_local, |
|
| 751 | period_type, |
|
| 752 | language) |
|
| 753 | ||
| 754 | resp.text = json.dumps(result) |
|
| 755 | ||
| @@ 13-754 (lines=742) @@ | ||
| 10 | from core.useractivity import access_control, api_key_control |
|
| 11 | ||
| 12 | ||
| 13 | class Reporting: |
|
| 14 | def __init__(self): |
|
| 15 | """"Initializes Reporting""" |
|
| 16 | pass |
|
| 17 | ||
| 18 | @staticmethod |
|
| 19 | def on_options(req, resp): |
|
| 20 | _ = req |
|
| 21 | resp.status = falcon.HTTP_200 |
|
| 22 | ||
| 23 | #################################################################################################################### |
|
| 24 | # PROCEDURES |
|
| 25 | # Step 1: valid parameters |
|
| 26 | # Step 2: query the equipment |
|
| 27 | # Step 3: query energy categories |
|
| 28 | # Step 4: query associated points |
|
| 29 | # Step 5: query base period energy saving |
|
| 30 | # Step 6: query reporting period energy saving |
|
| 31 | # Step 7: query tariff data |
|
| 32 | # Step 8: query associated points data |
|
| 33 | # Step 10: construct the report |
|
| 34 | #################################################################################################################### |
|
| 35 | @staticmethod |
|
| 36 | def on_get(req, resp): |
|
| 37 | if 'API-KEY' not in req.headers or \ |
|
| 38 | not isinstance(req.headers['API-KEY'], str) or \ |
|
| 39 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
| 40 | access_control(req) |
|
| 41 | else: |
|
| 42 | api_key_control(req) |
|
| 43 | print(req.params) |
|
| 44 | equipment_id = req.params.get('equipmentid') |
|
| 45 | equipment_uuid = req.params.get('equipmentuuid') |
|
| 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 | language = req.params.get('language') |
|
| 52 | quick_mode = req.params.get('quickmode') |
|
| 53 | ||
| 54 | ################################################################################################################ |
|
| 55 | # Step 1: valid parameters |
|
| 56 | ################################################################################################################ |
|
| 57 | if equipment_id is None and equipment_uuid is None: |
|
| 58 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 59 | title='API.BAD_REQUEST', |
|
| 60 | description='API.INVALID_EQUIPMENT_ID') |
|
| 61 | ||
| 62 | if equipment_id is not None: |
|
| 63 | equipment_id = str.strip(equipment_id) |
|
| 64 | if not equipment_id.isdigit() or int(equipment_id) <= 0: |
|
| 65 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 66 | title='API.BAD_REQUEST', |
|
| 67 | description='API.INVALID_EQUIPMENT_ID') |
|
| 68 | ||
| 69 | if equipment_uuid is not None: |
|
| 70 | regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
|
| 71 | match = regex.match(str.strip(equipment_uuid)) |
|
| 72 | if not bool(match): |
|
| 73 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 74 | title='API.BAD_REQUEST', |
|
| 75 | description='API.INVALID_EQUIPMENT_UUID') |
|
| 76 | ||
| 77 | if period_type is None: |
|
| 78 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 79 | description='API.INVALID_PERIOD_TYPE') |
|
| 80 | else: |
|
| 81 | period_type = str.strip(period_type) |
|
| 82 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
| 83 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 84 | description='API.INVALID_PERIOD_TYPE') |
|
| 85 | ||
| 86 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 87 | if config.utc_offset[0] == '-': |
|
| 88 | timezone_offset = -timezone_offset |
|
| 89 | ||
| 90 | base_start_datetime_utc = None |
|
| 91 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
| 92 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
| 93 | try: |
|
| 94 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 95 | except ValueError: |
|
| 96 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 97 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 98 | base_start_datetime_utc = \ |
|
| 99 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 100 | # nomalize the start datetime |
|
| 101 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
| 102 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 103 | else: |
|
| 104 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 105 | ||
| 106 | base_end_datetime_utc = None |
|
| 107 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
| 108 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
| 109 | try: |
|
| 110 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 111 | except ValueError: |
|
| 112 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 113 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 114 | base_end_datetime_utc = \ |
|
| 115 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 116 | ||
| 117 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 118 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 119 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 120 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 121 | ||
| 122 | if reporting_period_start_datetime_local is None: |
|
| 123 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 124 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 125 | else: |
|
| 126 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
| 127 | try: |
|
| 128 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
| 129 | '%Y-%m-%dT%H:%M:%S') |
|
| 130 | except ValueError: |
|
| 131 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 132 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 133 | reporting_start_datetime_utc = \ |
|
| 134 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 135 | # nomalize the start datetime |
|
| 136 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
| 137 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 138 | else: |
|
| 139 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 140 | ||
| 141 | if reporting_period_end_datetime_local is None: |
|
| 142 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 143 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 144 | else: |
|
| 145 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
| 146 | try: |
|
| 147 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
| 148 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 149 | timedelta(minutes=timezone_offset) |
|
| 150 | except ValueError: |
|
| 151 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 152 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 153 | ||
| 154 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 155 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 156 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 157 | ||
| 158 | # if turn quick mode on, do not return parameters data and excel file |
|
| 159 | is_quick_mode = False |
|
| 160 | if quick_mode is not None and \ |
|
| 161 | len(str.strip(quick_mode)) > 0 and \ |
|
| 162 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
|
| 163 | is_quick_mode = True |
|
| 164 | ||
| 165 | trans = utilities.get_translation(language) |
|
| 166 | trans.install() |
|
| 167 | _ = trans.gettext |
|
| 168 | ||
| 169 | ################################################################################################################ |
|
| 170 | # Step 2: query the equipment |
|
| 171 | ################################################################################################################ |
|
| 172 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 173 | cursor_system = cnx_system.cursor() |
|
| 174 | ||
| 175 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
| 176 | cursor_energy = cnx_energy.cursor() |
|
| 177 | ||
| 178 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
|
| 179 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
|
| 180 | ||
| 181 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 182 | cursor_historical = cnx_historical.cursor() |
|
| 183 | ||
| 184 | if equipment_id is not None: |
|
| 185 | cursor_system.execute(" SELECT id, name, cost_center_id " |
|
| 186 | " FROM tbl_equipments " |
|
| 187 | " WHERE id = %s ", (equipment_id,)) |
|
| 188 | row_equipment = cursor_system.fetchone() |
|
| 189 | elif equipment_uuid is not None: |
|
| 190 | cursor_system.execute(" SELECT id, name, cost_center_id " |
|
| 191 | " FROM tbl_equipments " |
|
| 192 | " WHERE uuid = %s ", (equipment_uuid,)) |
|
| 193 | row_equipment = cursor_system.fetchone() |
|
| 194 | ||
| 195 | if row_equipment is None: |
|
| 196 | if cursor_system: |
|
| 197 | cursor_system.close() |
|
| 198 | if cnx_system: |
|
| 199 | cnx_system.close() |
|
| 200 | ||
| 201 | if cursor_energy: |
|
| 202 | cursor_energy.close() |
|
| 203 | if cnx_energy: |
|
| 204 | cnx_energy.close() |
|
| 205 | ||
| 206 | if cursor_energy_baseline: |
|
| 207 | cursor_energy_baseline.close() |
|
| 208 | if cnx_energy_baseline: |
|
| 209 | cnx_energy_baseline.close() |
|
| 210 | ||
| 211 | if cursor_historical: |
|
| 212 | cursor_historical.close() |
|
| 213 | if cnx_historical: |
|
| 214 | cnx_historical.close() |
|
| 215 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', description='API.EQUIPMENT_NOT_FOUND') |
|
| 216 | ||
| 217 | equipment = dict() |
|
| 218 | equipment['id'] = row_equipment[0] |
|
| 219 | equipment['name'] = row_equipment[1] |
|
| 220 | equipment['cost_center_id'] = row_equipment[2] |
|
| 221 | ||
| 222 | ################################################################################################################ |
|
| 223 | # Step 3: query energy categories |
|
| 224 | ################################################################################################################ |
|
| 225 | energy_category_set = set() |
|
| 226 | # query energy categories in base period |
|
| 227 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 228 | " FROM tbl_equipment_input_category_hourly " |
|
| 229 | " WHERE equipment_id = %s " |
|
| 230 | " AND start_datetime_utc >= %s " |
|
| 231 | " AND start_datetime_utc < %s ", |
|
| 232 | (equipment['id'], base_start_datetime_utc, base_end_datetime_utc)) |
|
| 233 | rows_energy_categories = cursor_energy.fetchall() |
|
| 234 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 235 | for row_energy_category in rows_energy_categories: |
|
| 236 | energy_category_set.add(row_energy_category[0]) |
|
| 237 | ||
| 238 | # query energy categories in reporting period |
|
| 239 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 240 | " FROM tbl_equipment_input_category_hourly " |
|
| 241 | " WHERE equipment_id = %s " |
|
| 242 | " AND start_datetime_utc >= %s " |
|
| 243 | " AND start_datetime_utc < %s ", |
|
| 244 | (equipment['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
| 245 | rows_energy_categories = cursor_energy.fetchall() |
|
| 246 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 247 | for row_energy_category in rows_energy_categories: |
|
| 248 | energy_category_set.add(row_energy_category[0]) |
|
| 249 | ||
| 250 | # query all energy categories in base period and reporting period |
|
| 251 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 252 | " FROM tbl_energy_categories " |
|
| 253 | " ORDER BY id ", ) |
|
| 254 | rows_energy_categories = cursor_system.fetchall() |
|
| 255 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 256 | if cursor_system: |
|
| 257 | cursor_system.close() |
|
| 258 | if cnx_system: |
|
| 259 | cnx_system.close() |
|
| 260 | ||
| 261 | if cursor_energy: |
|
| 262 | cursor_energy.close() |
|
| 263 | if cnx_energy: |
|
| 264 | cnx_energy.close() |
|
| 265 | ||
| 266 | if cursor_energy_baseline: |
|
| 267 | cursor_energy_baseline.close() |
|
| 268 | if cnx_energy_baseline: |
|
| 269 | cnx_energy_baseline.close() |
|
| 270 | ||
| 271 | if cursor_historical: |
|
| 272 | cursor_historical.close() |
|
| 273 | if cnx_historical: |
|
| 274 | cnx_historical.close() |
|
| 275 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 276 | title='API.NOT_FOUND', |
|
| 277 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 278 | energy_category_dict = dict() |
|
| 279 | for row_energy_category in rows_energy_categories: |
|
| 280 | if row_energy_category[0] in energy_category_set: |
|
| 281 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 282 | "unit_of_measure": row_energy_category[2], |
|
| 283 | "kgce": row_energy_category[3], |
|
| 284 | "kgco2e": row_energy_category[4]} |
|
| 285 | ||
| 286 | ################################################################################################################ |
|
| 287 | # Step 4: query associated points |
|
| 288 | ################################################################################################################ |
|
| 289 | point_list = list() |
|
| 290 | cursor_system.execute(" SELECT p.id, ep.name, p.units, p.object_type " |
|
| 291 | " FROM tbl_equipments e, tbl_equipments_parameters ep, tbl_points p " |
|
| 292 | " WHERE e.id = %s AND e.id = ep.equipment_id AND ep.parameter_type = 'point' " |
|
| 293 | " AND ep.point_id = p.id " |
|
| 294 | " ORDER BY p.id ", (equipment['id'],)) |
|
| 295 | rows_points = cursor_system.fetchall() |
|
| 296 | if rows_points is not None and len(rows_points) > 0: |
|
| 297 | for row in rows_points: |
|
| 298 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
|
| 299 | ||
| 300 | ################################################################################################################ |
|
| 301 | # Step 5: query base period energy saving |
|
| 302 | ################################################################################################################ |
|
| 303 | base = dict() |
|
| 304 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 305 | for energy_category_id in energy_category_set: |
|
| 306 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 307 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 308 | ||
| 309 | base[energy_category_id] = dict() |
|
| 310 | base[energy_category_id]['timestamps'] = list() |
|
| 311 | base[energy_category_id]['values_baseline'] = list() |
|
| 312 | base[energy_category_id]['values_actual'] = list() |
|
| 313 | base[energy_category_id]['values_saving'] = list() |
|
| 314 | base[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
|
| 315 | base[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
|
| 316 | base[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
|
| 317 | base[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
|
| 318 | base[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
|
| 319 | base[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
|
| 320 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
|
| 321 | base[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
|
| 322 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
|
| 323 | # query base period's energy baseline |
|
| 324 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
|
| 325 | " FROM tbl_equipment_input_category_hourly " |
|
| 326 | " WHERE equipment_id = %s " |
|
| 327 | " AND energy_category_id = %s " |
|
| 328 | " AND start_datetime_utc >= %s " |
|
| 329 | " AND start_datetime_utc < %s " |
|
| 330 | " ORDER BY start_datetime_utc ", |
|
| 331 | (equipment['id'], |
|
| 332 | energy_category_id, |
|
| 333 | base_start_datetime_utc, |
|
| 334 | base_end_datetime_utc)) |
|
| 335 | rows_equipment_hourly = cursor_energy_baseline.fetchall() |
|
| 336 | ||
| 337 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 338 | base_start_datetime_utc, |
|
| 339 | base_end_datetime_utc, |
|
| 340 | period_type) |
|
| 341 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 342 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 343 | timedelta(minutes=timezone_offset) |
|
| 344 | if period_type == 'hourly': |
|
| 345 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 346 | elif period_type == 'daily': |
|
| 347 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 348 | elif period_type == 'weekly': |
|
| 349 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 350 | elif period_type == 'monthly': |
|
| 351 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 352 | elif period_type == 'yearly': |
|
| 353 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 354 | ||
| 355 | baseline_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 356 | else row_equipment_periodically[1] |
|
| 357 | base[energy_category_id]['timestamps'].append(current_datetime) |
|
| 358 | base[energy_category_id]['values_baseline'].append(baseline_value) |
|
| 359 | base[energy_category_id]['subtotal_baseline'] += baseline_value |
|
| 360 | base[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
|
| 361 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
|
| 362 | ||
| 363 | # query base period's energy actual |
|
| 364 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 365 | " FROM tbl_equipment_input_category_hourly " |
|
| 366 | " WHERE equipment_id = %s " |
|
| 367 | " AND energy_category_id = %s " |
|
| 368 | " AND start_datetime_utc >= %s " |
|
| 369 | " AND start_datetime_utc < %s " |
|
| 370 | " ORDER BY start_datetime_utc ", |
|
| 371 | (equipment['id'], |
|
| 372 | energy_category_id, |
|
| 373 | base_start_datetime_utc, |
|
| 374 | base_end_datetime_utc)) |
|
| 375 | rows_equipment_hourly = cursor_energy.fetchall() |
|
| 376 | ||
| 377 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 378 | base_start_datetime_utc, |
|
| 379 | base_end_datetime_utc, |
|
| 380 | period_type) |
|
| 381 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 382 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 383 | timedelta(minutes=timezone_offset) |
|
| 384 | if period_type == 'hourly': |
|
| 385 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 386 | elif period_type == 'daily': |
|
| 387 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 388 | elif period_type == 'weekly': |
|
| 389 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 390 | elif period_type == 'monthly': |
|
| 391 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 392 | elif period_type == 'yearly': |
|
| 393 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 394 | ||
| 395 | actual_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 396 | else row_equipment_periodically[1] |
|
| 397 | base[energy_category_id]['values_actual'].append(actual_value) |
|
| 398 | base[energy_category_id]['subtotal_actual'] += actual_value |
|
| 399 | base[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
|
| 400 | base[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
|
| 401 | ||
| 402 | # calculate base period's energy savings |
|
| 403 | for i in range(len(base[energy_category_id]['values_baseline'])): |
|
| 404 | base[energy_category_id]['values_saving'].append( |
|
| 405 | base[energy_category_id]['values_baseline'][i] - |
|
| 406 | base[energy_category_id]['values_actual'][i]) |
|
| 407 | ||
| 408 | base[energy_category_id]['subtotal_saving'] = \ |
|
| 409 | base[energy_category_id]['subtotal_baseline'] - \ |
|
| 410 | base[energy_category_id]['subtotal_actual'] |
|
| 411 | base[energy_category_id]['subtotal_in_kgce_saving'] = \ |
|
| 412 | base[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
|
| 413 | base[energy_category_id]['subtotal_in_kgce_actual'] |
|
| 414 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
|
| 415 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
|
| 416 | base[energy_category_id]['subtotal_in_kgco2e_actual'] |
|
| 417 | ################################################################################################################ |
|
| 418 | # Step 5: query reporting period energy saving |
|
| 419 | ################################################################################################################ |
|
| 420 | reporting = dict() |
|
| 421 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 422 | for energy_category_id in energy_category_set: |
|
| 423 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 424 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 425 | ||
| 426 | reporting[energy_category_id] = dict() |
|
| 427 | reporting[energy_category_id]['timestamps'] = list() |
|
| 428 | reporting[energy_category_id]['values_baseline'] = list() |
|
| 429 | reporting[energy_category_id]['values_actual'] = list() |
|
| 430 | reporting[energy_category_id]['values_saving'] = list() |
|
| 431 | reporting[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
|
| 432 | reporting[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
|
| 433 | reporting[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
|
| 434 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
|
| 435 | reporting[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
|
| 436 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
|
| 437 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
|
| 438 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
|
| 439 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
|
| 440 | # query reporting period's energy baseline |
|
| 441 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
|
| 442 | " FROM tbl_equipment_input_category_hourly " |
|
| 443 | " WHERE equipment_id = %s " |
|
| 444 | " AND energy_category_id = %s " |
|
| 445 | " AND start_datetime_utc >= %s " |
|
| 446 | " AND start_datetime_utc < %s " |
|
| 447 | " ORDER BY start_datetime_utc ", |
|
| 448 | (equipment['id'], |
|
| 449 | energy_category_id, |
|
| 450 | reporting_start_datetime_utc, |
|
| 451 | reporting_end_datetime_utc)) |
|
| 452 | rows_equipment_hourly = cursor_energy_baseline.fetchall() |
|
| 453 | ||
| 454 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 455 | reporting_start_datetime_utc, |
|
| 456 | reporting_end_datetime_utc, |
|
| 457 | period_type) |
|
| 458 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 459 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 460 | timedelta(minutes=timezone_offset) |
|
| 461 | if period_type == 'hourly': |
|
| 462 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 463 | elif period_type == 'daily': |
|
| 464 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 465 | elif period_type == 'weekly': |
|
| 466 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 467 | elif period_type == 'monthly': |
|
| 468 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 469 | elif period_type == 'yearly': |
|
| 470 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 471 | ||
| 472 | baseline_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 473 | else row_equipment_periodically[1] |
|
| 474 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
|
| 475 | reporting[energy_category_id]['values_baseline'].append(baseline_value) |
|
| 476 | reporting[energy_category_id]['subtotal_baseline'] += baseline_value |
|
| 477 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
|
| 478 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
|
| 479 | ||
| 480 | # query reporting period's energy actual |
|
| 481 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 482 | " FROM tbl_equipment_input_category_hourly " |
|
| 483 | " WHERE equipment_id = %s " |
|
| 484 | " AND energy_category_id = %s " |
|
| 485 | " AND start_datetime_utc >= %s " |
|
| 486 | " AND start_datetime_utc < %s " |
|
| 487 | " ORDER BY start_datetime_utc ", |
|
| 488 | (equipment['id'], |
|
| 489 | energy_category_id, |
|
| 490 | reporting_start_datetime_utc, |
|
| 491 | reporting_end_datetime_utc)) |
|
| 492 | rows_equipment_hourly = cursor_energy.fetchall() |
|
| 493 | ||
| 494 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 495 | reporting_start_datetime_utc, |
|
| 496 | reporting_end_datetime_utc, |
|
| 497 | period_type) |
|
| 498 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 499 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 500 | timedelta(minutes=timezone_offset) |
|
| 501 | if period_type == 'hourly': |
|
| 502 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 503 | elif period_type == 'daily': |
|
| 504 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 505 | elif period_type == 'weekly': |
|
| 506 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 507 | elif period_type == 'monthly': |
|
| 508 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 509 | elif period_type == 'yearly': |
|
| 510 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 511 | ||
| 512 | actual_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 513 | else row_equipment_periodically[1] |
|
| 514 | reporting[energy_category_id]['values_actual'].append(actual_value) |
|
| 515 | reporting[energy_category_id]['subtotal_actual'] += actual_value |
|
| 516 | reporting[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
|
| 517 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
|
| 518 | ||
| 519 | # calculate reporting period's energy savings |
|
| 520 | for i in range(len(reporting[energy_category_id]['values_baseline'])): |
|
| 521 | reporting[energy_category_id]['values_saving'].append( |
|
| 522 | reporting[energy_category_id]['values_baseline'][i] - |
|
| 523 | reporting[energy_category_id]['values_actual'][i]) |
|
| 524 | ||
| 525 | reporting[energy_category_id]['subtotal_saving'] = \ |
|
| 526 | reporting[energy_category_id]['subtotal_baseline'] - \ |
|
| 527 | reporting[energy_category_id]['subtotal_actual'] |
|
| 528 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = \ |
|
| 529 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
|
| 530 | reporting[energy_category_id]['subtotal_in_kgce_actual'] |
|
| 531 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
|
| 532 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
|
| 533 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] |
|
| 534 | ################################################################################################################ |
|
| 535 | # Step 6: query tariff data |
|
| 536 | ################################################################################################################ |
|
| 537 | parameters_data = dict() |
|
| 538 | parameters_data['names'] = list() |
|
| 539 | parameters_data['timestamps'] = list() |
|
| 540 | parameters_data['values'] = list() |
|
| 541 | if not is_quick_mode: |
|
| 542 | if config.is_tariff_appended and energy_category_set is not None and len(energy_category_set) > 0: |
|
| 543 | for energy_category_id in energy_category_set: |
|
| 544 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(equipment['cost_center_id'], |
|
| 545 | energy_category_id, |
|
| 546 | reporting_start_datetime_utc, |
|
| 547 | reporting_end_datetime_utc) |
|
| 548 | tariff_timestamp_list = list() |
|
| 549 | tariff_value_list = list() |
|
| 550 | for k, v in energy_category_tariff_dict.items(): |
|
| 551 | # convert k from utc to local |
|
| 552 | k = k + timedelta(minutes=timezone_offset) |
|
| 553 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
|
| 554 | tariff_value_list.append(v) |
|
| 555 | ||
| 556 | parameters_data['names'].append(_('Tariff') + '-' |
|
| 557 | + energy_category_dict[energy_category_id]['name']) |
|
| 558 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
| 559 | parameters_data['values'].append(tariff_value_list) |
|
| 560 | ||
| 561 | ################################################################################################################ |
|
| 562 | # Step 7: query associated points data |
|
| 563 | ################################################################################################################ |
|
| 564 | if not is_quick_mode: |
|
| 565 | for point in point_list: |
|
| 566 | point_values = [] |
|
| 567 | point_timestamps = [] |
|
| 568 | if point['object_type'] == 'ENERGY_VALUE': |
|
| 569 | query = (" SELECT utc_date_time, actual_value " |
|
| 570 | " FROM tbl_energy_value " |
|
| 571 | " WHERE point_id = %s " |
|
| 572 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 573 | " ORDER BY utc_date_time ") |
|
| 574 | cursor_historical.execute(query, (point['id'], |
|
| 575 | reporting_start_datetime_utc, |
|
| 576 | reporting_end_datetime_utc)) |
|
| 577 | rows = cursor_historical.fetchall() |
|
| 578 | ||
| 579 | if rows is not None and len(rows) > 0: |
|
| 580 | for row in rows: |
|
| 581 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 582 | timedelta(minutes=timezone_offset) |
|
| 583 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 584 | point_timestamps.append(current_datetime) |
|
| 585 | point_values.append(row[1]) |
|
| 586 | elif point['object_type'] == 'ANALOG_VALUE': |
|
| 587 | query = (" SELECT utc_date_time, actual_value " |
|
| 588 | " FROM tbl_analog_value " |
|
| 589 | " WHERE point_id = %s " |
|
| 590 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 591 | " ORDER BY utc_date_time ") |
|
| 592 | cursor_historical.execute(query, (point['id'], |
|
| 593 | reporting_start_datetime_utc, |
|
| 594 | reporting_end_datetime_utc)) |
|
| 595 | rows = cursor_historical.fetchall() |
|
| 596 | ||
| 597 | if rows is not None and len(rows) > 0: |
|
| 598 | for row in rows: |
|
| 599 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 600 | timedelta(minutes=timezone_offset) |
|
| 601 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 602 | point_timestamps.append(current_datetime) |
|
| 603 | point_values.append(row[1]) |
|
| 604 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
| 605 | query = (" SELECT utc_date_time, actual_value " |
|
| 606 | " FROM tbl_digital_value " |
|
| 607 | " WHERE point_id = %s " |
|
| 608 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 609 | " ORDER BY utc_date_time ") |
|
| 610 | cursor_historical.execute(query, (point['id'], |
|
| 611 | reporting_start_datetime_utc, |
|
| 612 | reporting_end_datetime_utc)) |
|
| 613 | rows = cursor_historical.fetchall() |
|
| 614 | ||
| 615 | if rows is not None and len(rows) > 0: |
|
| 616 | for row in rows: |
|
| 617 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 618 | timedelta(minutes=timezone_offset) |
|
| 619 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 620 | point_timestamps.append(current_datetime) |
|
| 621 | point_values.append(row[1]) |
|
| 622 | ||
| 623 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
| 624 | parameters_data['timestamps'].append(point_timestamps) |
|
| 625 | parameters_data['values'].append(point_values) |
|
| 626 | ||
| 627 | ################################################################################################################ |
|
| 628 | # Step 8: construct the report |
|
| 629 | ################################################################################################################ |
|
| 630 | if cursor_system: |
|
| 631 | cursor_system.close() |
|
| 632 | if cnx_system: |
|
| 633 | cnx_system.close() |
|
| 634 | ||
| 635 | if cursor_energy: |
|
| 636 | cursor_energy.close() |
|
| 637 | if cnx_energy: |
|
| 638 | cnx_energy.close() |
|
| 639 | ||
| 640 | if cursor_energy_baseline: |
|
| 641 | cursor_energy_baseline.close() |
|
| 642 | if cnx_energy_baseline: |
|
| 643 | cnx_energy_baseline.close() |
|
| 644 | ||
| 645 | if cursor_historical: |
|
| 646 | cursor_historical.close() |
|
| 647 | if cnx_historical: |
|
| 648 | cnx_historical.close() |
|
| 649 | ||
| 650 | result = dict() |
|
| 651 | ||
| 652 | result['equipment'] = dict() |
|
| 653 | result['equipment']['name'] = equipment['name'] |
|
| 654 | ||
| 655 | result['base_period'] = dict() |
|
| 656 | result['base_period']['names'] = list() |
|
| 657 | result['base_period']['units'] = list() |
|
| 658 | result['base_period']['timestamps'] = list() |
|
| 659 | result['base_period']['values_saving'] = list() |
|
| 660 | result['base_period']['subtotals_saving'] = list() |
|
| 661 | result['base_period']['subtotals_in_kgce_saving'] = list() |
|
| 662 | result['base_period']['subtotals_in_kgco2e_saving'] = list() |
|
| 663 | result['base_period']['total_in_kgce_saving'] = Decimal(0.0) |
|
| 664 | result['base_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
|
| 665 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 666 | for energy_category_id in energy_category_set: |
|
| 667 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 668 | result['base_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 669 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
|
| 670 | result['base_period']['values_saving'].append(base[energy_category_id]['values_saving']) |
|
| 671 | result['base_period']['subtotals_saving'].append(base[energy_category_id]['subtotal_saving']) |
|
| 672 | result['base_period']['subtotals_in_kgce_saving'].append( |
|
| 673 | base[energy_category_id]['subtotal_in_kgce_saving']) |
|
| 674 | result['base_period']['subtotals_in_kgco2e_saving'].append( |
|
| 675 | base[energy_category_id]['subtotal_in_kgco2e_saving']) |
|
| 676 | result['base_period']['total_in_kgce_saving'] += base[energy_category_id]['subtotal_in_kgce_saving'] |
|
| 677 | result['base_period']['total_in_kgco2e_saving'] += base[energy_category_id]['subtotal_in_kgco2e_saving'] |
|
| 678 | ||
| 679 | result['reporting_period'] = dict() |
|
| 680 | result['reporting_period']['names'] = list() |
|
| 681 | result['reporting_period']['energy_category_ids'] = list() |
|
| 682 | result['reporting_period']['units'] = list() |
|
| 683 | result['reporting_period']['timestamps'] = list() |
|
| 684 | result['reporting_period']['values_saving'] = list() |
|
| 685 | result['reporting_period']['rates_saving'] = list() |
|
| 686 | result['reporting_period']['subtotals_saving'] = list() |
|
| 687 | result['reporting_period']['subtotals_in_kgce_saving'] = list() |
|
| 688 | result['reporting_period']['subtotals_in_kgco2e_saving'] = list() |
|
| 689 | result['reporting_period']['increment_rates_saving'] = list() |
|
| 690 | result['reporting_period']['total_in_kgce_saving'] = Decimal(0.0) |
|
| 691 | result['reporting_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
|
| 692 | result['reporting_period']['increment_rate_in_kgce_saving'] = Decimal(0.0) |
|
| 693 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = Decimal(0.0) |
|
| 694 | ||
| 695 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 696 | for energy_category_id in energy_category_set: |
|
| 697 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 698 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
| 699 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 700 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
| 701 | result['reporting_period']['values_saving'].append(reporting[energy_category_id]['values_saving']) |
|
| 702 | result['reporting_period']['subtotals_saving'].append(reporting[energy_category_id]['subtotal_saving']) |
|
| 703 | result['reporting_period']['subtotals_in_kgce_saving'].append( |
|
| 704 | reporting[energy_category_id]['subtotal_in_kgce_saving']) |
|
| 705 | result['reporting_period']['subtotals_in_kgco2e_saving'].append( |
|
| 706 | reporting[energy_category_id]['subtotal_in_kgco2e_saving']) |
|
| 707 | result['reporting_period']['increment_rates_saving'].append( |
|
| 708 | (reporting[energy_category_id]['subtotal_saving'] - base[energy_category_id]['subtotal_saving']) / |
|
| 709 | base[energy_category_id]['subtotal_saving'] |
|
| 710 | if base[energy_category_id]['subtotal_saving'] != Decimal(0.0) else None) |
|
| 711 | result['reporting_period']['total_in_kgce_saving'] += \ |
|
| 712 | reporting[energy_category_id]['subtotal_in_kgce_saving'] |
|
| 713 | result['reporting_period']['total_in_kgco2e_saving'] += \ |
|
| 714 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] |
|
| 715 | ||
| 716 | rate = list() |
|
| 717 | for index, value in enumerate(reporting[energy_category_id]['values_saving']): |
|
| 718 | if index < len(base[energy_category_id]['values_saving']) \ |
|
| 719 | and base[energy_category_id]['values_saving'][index] != 0 and value != 0: |
|
| 720 | rate.append((value - base[energy_category_id]['values_saving'][index]) |
|
| 721 | / base[energy_category_id]['values_saving'][index]) |
|
| 722 | else: |
|
| 723 | rate.append(None) |
|
| 724 | result['reporting_period']['rates_saving'].append(rate) |
|
| 725 | ||
| 726 | result['reporting_period']['increment_rate_in_kgce_saving'] = \ |
|
| 727 | (result['reporting_period']['total_in_kgce_saving'] - result['base_period']['total_in_kgce_saving']) / \ |
|
| 728 | result['base_period']['total_in_kgce_saving'] \ |
|
| 729 | if result['base_period']['total_in_kgce_saving'] != Decimal(0.0) else None |
|
| 730 | ||
| 731 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = \ |
|
| 732 | (result['reporting_period']['total_in_kgco2e_saving'] - result['base_period']['total_in_kgco2e_saving']) / \ |
|
| 733 | result['base_period']['total_in_kgco2e_saving'] \ |
|
| 734 | if result['base_period']['total_in_kgco2e_saving'] != Decimal(0.0) else None |
|
| 735 | ||
| 736 | result['parameters'] = { |
|
| 737 | "names": parameters_data['names'], |
|
| 738 | "timestamps": parameters_data['timestamps'], |
|
| 739 | "values": parameters_data['values'] |
|
| 740 | } |
|
| 741 | ||
| 742 | # export result to Excel file and then encode the file to base64 string |
|
| 743 | result['excel_bytes_base64'] = None |
|
| 744 | if not is_quick_mode: |
|
| 745 | result['excel_bytes_base64'] = excelexporters.equipmentsaving.export(result, |
|
| 746 | equipment['name'], |
|
| 747 | base_period_start_datetime_local, |
|
| 748 | base_period_end_datetime_local, |
|
| 749 | reporting_period_start_datetime_local, |
|
| 750 | reporting_period_end_datetime_local, |
|
| 751 | period_type, |
|
| 752 | language) |
|
| 753 | ||
| 754 | resp.text = json.dumps(result) |
|
| 755 | ||
