MyEMS /
myems
| @@ 13-675 (lines=663) @@ | ||
| 10 | from core.useractivity import access_control, api_key_control |
|
| 11 | ||
| 12 | ||
| 13 | class Reporting: |
|
| 14 | def __init__(self): |
|
| 15 | """Initializes Class""" |
|
| 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 microgrid |
|
| 27 | # Step 3: query associated batteries |
|
| 28 | # Step 4: query associated ev chargers |
|
| 29 | # Step 5: query associated generators |
|
| 30 | # Step 6: query associated grids |
|
| 31 | # Step 7: query associated heat pumps |
|
| 32 | # Step 8: query associated loads |
|
| 33 | # Step 9: query associated photovoltaics |
|
| 34 | # Step 10: query associated power conversion systems |
|
| 35 | # Step 11: query associated sensors |
|
| 36 | # Step 12: query associated meters data |
|
| 37 | # Step 13: query associated points data |
|
| 38 | # Step 14: construct the report |
|
| 39 | #################################################################################################################### |
|
| 40 | @staticmethod |
|
| 41 | def on_get(req, resp): |
|
| 42 | if 'API-KEY' not in req.headers or \ |
|
| 43 | not isinstance(req.headers['API-KEY'], str) or \ |
|
| 44 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
| 45 | access_control(req) |
|
| 46 | else: |
|
| 47 | api_key_control(req) |
|
| 48 | print(req.params) |
|
| 49 | # this procedure accepts microgrid id or |
|
| 50 | # microgrid uuid to identify a microgrid |
|
| 51 | microgrid_id = req.params.get('id') |
|
| 52 | microgrid_uuid = req.params.get('uuid') |
|
| 53 | period_type = req.params.get('periodtype') |
|
| 54 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
| 55 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
| 56 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
| 57 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
| 58 | language = req.params.get('language') |
|
| 59 | quick_mode = req.params.get('quickmode') |
|
| 60 | ||
| 61 | ################################################################################################################ |
|
| 62 | # Step 1: valid parameters |
|
| 63 | ################################################################################################################ |
|
| 64 | if microgrid_id is None and microgrid_uuid is None: |
|
| 65 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 66 | description='API.INVALID_MICROGRID_ID') |
|
| 67 | ||
| 68 | if microgrid_id is not None: |
|
| 69 | microgrid_id = str.strip(microgrid_id) |
|
| 70 | if not microgrid_id.isdigit() or int(microgrid_id) <= 0: |
|
| 71 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 72 | description='API.INVALID_MICROGRID_ID') |
|
| 73 | ||
| 74 | if microgrid_uuid is not None: |
|
| 75 | regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
|
| 76 | match = regex.match(str.strip(microgrid_uuid)) |
|
| 77 | if not bool(match): |
|
| 78 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 79 | description='API.INVALID_MICROGRID_UUID') |
|
| 80 | ||
| 81 | if period_type is None: |
|
| 82 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 83 | description='API.INVALID_PERIOD_TYPE') |
|
| 84 | else: |
|
| 85 | period_type = str.strip(period_type) |
|
| 86 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
| 87 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 88 | description='API.INVALID_PERIOD_TYPE') |
|
| 89 | ||
| 90 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 91 | if config.utc_offset[0] == '-': |
|
| 92 | timezone_offset = -timezone_offset |
|
| 93 | ||
| 94 | base_start_datetime_utc = None |
|
| 95 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
| 96 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
| 97 | try: |
|
| 98 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 99 | except ValueError: |
|
| 100 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 101 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 102 | base_start_datetime_utc = \ |
|
| 103 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 104 | # nomalize the start datetime |
|
| 105 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
| 106 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 107 | else: |
|
| 108 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 109 | ||
| 110 | base_end_datetime_utc = None |
|
| 111 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
| 112 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
| 113 | try: |
|
| 114 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 115 | except ValueError: |
|
| 116 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 117 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 118 | base_end_datetime_utc = \ |
|
| 119 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 120 | ||
| 121 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 122 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 123 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 124 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 125 | ||
| 126 | if reporting_period_start_datetime_local is None: |
|
| 127 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 128 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 129 | else: |
|
| 130 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
| 131 | try: |
|
| 132 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
| 133 | '%Y-%m-%dT%H:%M:%S') |
|
| 134 | except ValueError: |
|
| 135 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 136 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 137 | reporting_start_datetime_utc = \ |
|
| 138 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 139 | # nomalize the start datetime |
|
| 140 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
| 141 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 142 | else: |
|
| 143 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 144 | ||
| 145 | if reporting_period_end_datetime_local is None: |
|
| 146 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 147 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 148 | else: |
|
| 149 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
| 150 | try: |
|
| 151 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
| 152 | '%Y-%m-%dT%H:%M:%S') |
|
| 153 | except ValueError: |
|
| 154 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 155 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 156 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
|
| 157 | timedelta(minutes=timezone_offset) |
|
| 158 | ||
| 159 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 160 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 161 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 162 | ||
| 163 | # if turn quick mode on, do not return parameters data and excel file |
|
| 164 | is_quick_mode = False |
|
| 165 | if quick_mode is not None and \ |
|
| 166 | len(str.strip(quick_mode)) > 0 and \ |
|
| 167 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
|
| 168 | is_quick_mode = True |
|
| 169 | ||
| 170 | trans = utilities.get_translation(language) |
|
| 171 | trans.install() |
|
| 172 | _ = trans.gettext |
|
| 173 | ||
| 174 | ################################################################################################################ |
|
| 175 | # Step 2: query the microgrid |
|
| 176 | ################################################################################################################ |
|
| 177 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 178 | cursor_system = cnx_system.cursor() |
|
| 179 | ||
| 180 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 181 | cursor_historical = cnx_historical.cursor() |
|
| 182 | ||
| 183 | cnx_billing = mysql.connector.connect(**config.myems_billing_db) |
|
| 184 | cursor_billing = cnx_billing.cursor() |
|
| 185 | ||
| 186 | # query all contacts in system |
|
| 187 | query = (" SELECT id, name, uuid " |
|
| 188 | " FROM tbl_contacts ") |
|
| 189 | cursor_system.execute(query) |
|
| 190 | rows_contacts = cursor_system.fetchall() |
|
| 191 | ||
| 192 | contact_dict = dict() |
|
| 193 | if rows_contacts is not None and len(rows_contacts) > 0: |
|
| 194 | for row in rows_contacts: |
|
| 195 | contact_dict[row[0]] = {"id": row[0], |
|
| 196 | "name": row[1], |
|
| 197 | "uuid": row[2]} |
|
| 198 | # query all cost centers in system |
|
| 199 | query = (" SELECT id, name, uuid " |
|
| 200 | " FROM tbl_cost_centers ") |
|
| 201 | cursor_system.execute(query) |
|
| 202 | rows_cost_centers = cursor_system.fetchall() |
|
| 203 | ||
| 204 | cost_center_dict = dict() |
|
| 205 | if rows_cost_centers is not None and len(rows_cost_centers) > 0: |
|
| 206 | for row in rows_cost_centers: |
|
| 207 | cost_center_dict[row[0]] = {"id": row[0], |
|
| 208 | "name": row[1], |
|
| 209 | "uuid": row[2]} |
|
| 210 | ||
| 211 | # query all energy categories in system |
|
| 212 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 213 | " FROM tbl_energy_categories " |
|
| 214 | " ORDER BY id ", ) |
|
| 215 | rows_energy_categories = cursor_system.fetchall() |
|
| 216 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 217 | if cursor_system: |
|
| 218 | cursor_system.close() |
|
| 219 | if cnx_system: |
|
| 220 | cnx_system.close() |
|
| 221 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 222 | title='API.NOT_FOUND', |
|
| 223 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 224 | energy_category_dict = dict() |
|
| 225 | for row_energy_category in rows_energy_categories: |
|
| 226 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 227 | "unit_of_measure": row_energy_category[2], |
|
| 228 | "kgce": row_energy_category[3], |
|
| 229 | "kgco2e": row_energy_category[4]} |
|
| 230 | ||
| 231 | if microgrid_id is not None: |
|
| 232 | query = (" SELECT id, name, uuid, " |
|
| 233 | " address, postal_code, latitude, longitude, rated_capacity, rated_power, " |
|
| 234 | " contact_id, cost_center_id " |
|
| 235 | " FROM tbl_microgrids " |
|
| 236 | " WHERE id = %s ") |
|
| 237 | cursor_system.execute(query, (microgrid_id,)) |
|
| 238 | row = cursor_system.fetchone() |
|
| 239 | elif microgrid_uuid is not None: |
|
| 240 | query = (" SELECT id, name, uuid, " |
|
| 241 | " address, postal_code, latitude, longitude, rated_capacity, rated_power, " |
|
| 242 | " contact_id, cost_center_id " |
|
| 243 | " FROM tbl_microgrids " |
|
| 244 | " WHERE uuid = %s ") |
|
| 245 | cursor_system.execute(query, (microgrid_uuid,)) |
|
| 246 | row = cursor_system.fetchone() |
|
| 247 | ||
| 248 | if row is None: |
|
| 249 | cursor_system.close() |
|
| 250 | cnx_system.close() |
|
| 251 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 252 | description='API.MICROGRID_NOT_FOUND') |
|
| 253 | else: |
|
| 254 | microgrid_id = row[0] |
|
| 255 | meta_result = {"id": row[0], |
|
| 256 | "name": row[1], |
|
| 257 | "uuid": row[2], |
|
| 258 | "address": row[3], |
|
| 259 | "postal_code": row[4], |
|
| 260 | "latitude": row[5], |
|
| 261 | "longitude": row[6], |
|
| 262 | "rated_capacity": row[7], |
|
| 263 | "rated_power": row[8], |
|
| 264 | "contact": contact_dict.get(row[9], None), |
|
| 265 | "cost_center": cost_center_dict.get(row[10], None), |
|
| 266 | "qrcode": 'microgrid:' + row[2]} |
|
| 267 | ||
| 268 | point_list = list() |
|
| 269 | meter_list = list() |
|
| 270 | ||
| 271 | ################################################################################################################ |
|
| 272 | # Step 4: query associated batteries data |
|
| 273 | ################################################################################################################ |
|
| 274 | cursor_system.execute(" SELECT p.id, mb.name, p.units, p.object_type " |
|
| 275 | " FROM tbl_microgrids_batteries mb, tbl_points p " |
|
| 276 | " WHERE mb.microgrid_id = %s AND mb.soc_point_id = p.id ", |
|
| 277 | (microgrid_id,)) |
|
| 278 | row_point = cursor_system.fetchone() |
|
| 279 | if row_point is not None: |
|
| 280 | point_list.append({"id": row_point[0], |
|
| 281 | "name": row_point[1] + '.SOC', |
|
| 282 | "units": row_point[2], |
|
| 283 | "object_type": row_point[3]}) |
|
| 284 | ||
| 285 | cursor_system.execute(" SELECT p.id, mb.name, p.units, p.object_type " |
|
| 286 | " FROM tbl_microgrids_batteries mb, tbl_points p " |
|
| 287 | " WHERE mb.microgrid_id = %s AND mb.power_point_id = p.id ", |
|
| 288 | (microgrid_id,)) |
|
| 289 | row_point = cursor_system.fetchone() |
|
| 290 | if row_point is not None: |
|
| 291 | point_list.append({"id": row_point[0], |
|
| 292 | "name": row_point[1]+'.P', |
|
| 293 | "units": row_point[2], |
|
| 294 | "object_type": row_point[3]}) |
|
| 295 | ||
| 296 | cursor_system.execute(" SELECT m.id, mb.name, m.energy_category_id " |
|
| 297 | " FROM tbl_microgrids_batteries mb, tbl_meters m " |
|
| 298 | " WHERE mb.microgrid_id = %s AND mb.charge_meter_id = m.id ", |
|
| 299 | (microgrid_id,)) |
|
| 300 | row_meter = cursor_system.fetchone() |
|
| 301 | if row_meter is not None: |
|
| 302 | meter_list.append({"id": row_meter[0], |
|
| 303 | "name": row_meter[1] + '-Charge', |
|
| 304 | "energy_category_id": row_meter[2]}) |
|
| 305 | ||
| 306 | cursor_system.execute(" SELECT m.id, mb.name, m.energy_category_id " |
|
| 307 | " FROM tbl_microgrids_batteries mb, tbl_meters m " |
|
| 308 | " WHERE mb.microgrid_id = %s AND mb.discharge_meter_id = m.id ", |
|
| 309 | (microgrid_id,)) |
|
| 310 | row_meter = cursor_system.fetchone() |
|
| 311 | if row_meter is not None: |
|
| 312 | meter_list.append({"id": row_meter[0], |
|
| 313 | "name": row_meter[1] + '-Discharge', |
|
| 314 | "energy_category_id": row_meter[2]}) |
|
| 315 | ||
| 316 | ################################################################################################################ |
|
| 317 | # Step 4: query associated ev chargers |
|
| 318 | ################################################################################################################ |
|
| 319 | ||
| 320 | ################################################################################################################ |
|
| 321 | # Step 5: query associated generators |
|
| 322 | ################################################################################################################ |
|
| 323 | ||
| 324 | ################################################################################################################ |
|
| 325 | # Step 6: query associated grids |
|
| 326 | ################################################################################################################ |
|
| 327 | cursor_system.execute(" SELECT p.id, mg.name, p.units, p.object_type " |
|
| 328 | " FROM tbl_microgrids_grids mg, tbl_points p " |
|
| 329 | " WHERE mg.microgrid_id = %s AND mg.power_point_id = p.id ", |
|
| 330 | (microgrid_id,)) |
|
| 331 | row_point = cursor_system.fetchone() |
|
| 332 | if row_point is not None: |
|
| 333 | point_list.append({"id": row_point[0], |
|
| 334 | "name": row_point[1]+'.P', |
|
| 335 | "units": row_point[2], |
|
| 336 | "object_type": row_point[3]}) |
|
| 337 | ||
| 338 | cursor_system.execute(" SELECT m.id, mg.name, m.energy_category_id " |
|
| 339 | " FROM tbl_microgrids_grids mg, tbl_meters m " |
|
| 340 | " WHERE mg.microgrid_id = %s AND mg.buy_meter_id = m.id ", |
|
| 341 | (microgrid_id,)) |
|
| 342 | row_meter = cursor_system.fetchone() |
|
| 343 | if row_meter is not None: |
|
| 344 | meter_list.append({"id": row_meter[0], |
|
| 345 | "name": row_meter[1] + '-Buy', |
|
| 346 | "energy_category_id": row_meter[2]}) |
|
| 347 | ||
| 348 | cursor_system.execute(" SELECT m.id, mg.name, m.energy_category_id " |
|
| 349 | " FROM tbl_microgrids_grids mg, tbl_meters m " |
|
| 350 | " WHERE mg.microgrid_id = %s AND mg.sell_meter_id = m.id ", |
|
| 351 | (microgrid_id,)) |
|
| 352 | row_meter = cursor_system.fetchone() |
|
| 353 | if row_meter is not None: |
|
| 354 | meter_list.append({"id": row_meter[0], |
|
| 355 | "name": row_meter[1] + '-Sell', |
|
| 356 | "energy_category_id": row_meter[2]}) |
|
| 357 | ||
| 358 | ################################################################################################################ |
|
| 359 | # Step 7: query associated heat pumps |
|
| 360 | ################################################################################################################ |
|
| 361 | ||
| 362 | ################################################################################################################ |
|
| 363 | # Step 8: query associated loads |
|
| 364 | ################################################################################################################ |
|
| 365 | cursor_system.execute(" SELECT p.id, ml.name, p.units, p.object_type " |
|
| 366 | " FROM tbl_microgrids_loads ml, tbl_points p " |
|
| 367 | " WHERE ml.microgrid_id = %s AND ml.power_point_id = p.id ", |
|
| 368 | (microgrid_id,)) |
|
| 369 | row_point = cursor_system.fetchone() |
|
| 370 | if row_point is not None: |
|
| 371 | point_list.append({"id": row_point[0], |
|
| 372 | "name": row_point[1]+'.P', |
|
| 373 | "units": row_point[2], |
|
| 374 | "object_type": row_point[3]}) |
|
| 375 | ||
| 376 | cursor_system.execute(" SELECT m.id, ml.name, m.energy_category_id " |
|
| 377 | " FROM tbl_microgrids_loads ml, tbl_meters m " |
|
| 378 | " WHERE ml.microgrid_id = %s AND ml.meter_id = m.id ", |
|
| 379 | (microgrid_id,)) |
|
| 380 | row_meter = cursor_system.fetchone() |
|
| 381 | if row_meter is not None: |
|
| 382 | meter_list.append({"id": row_meter[0], |
|
| 383 | "name": row_meter[1], |
|
| 384 | "energy_category_id": row_meter[2]}) |
|
| 385 | ||
| 386 | ################################################################################################################ |
|
| 387 | # Step 9: query associated photovoltaics |
|
| 388 | ################################################################################################################ |
|
| 389 | # todo |
|
| 390 | ||
| 391 | ################################################################################################################ |
|
| 392 | # Step 10: query associated power conversion systems |
|
| 393 | ################################################################################################################ |
|
| 394 | # todo |
|
| 395 | ||
| 396 | ################################################################################################################ |
|
| 397 | # Step 11: query associated sensors |
|
| 398 | ################################################################################################################ |
|
| 399 | # todo |
|
| 400 | ||
| 401 | ################################################################################################################ |
|
| 402 | # Step 12: query associated meters data |
|
| 403 | ################################################################################################################ |
|
| 404 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 405 | if config.utc_offset[0] == '-': |
|
| 406 | timezone_offset = -timezone_offset |
|
| 407 | ||
| 408 | meter_base_list = list() |
|
| 409 | ||
| 410 | for meter in meter_list: |
|
| 411 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
| 412 | " FROM tbl_meter_hourly " |
|
| 413 | " WHERE meter_id = %s " |
|
| 414 | " AND start_datetime_utc >= %s " |
|
| 415 | " AND start_datetime_utc < %s " |
|
| 416 | " ORDER BY start_datetime_utc ", |
|
| 417 | (meter['id'], |
|
| 418 | base_start_datetime_utc, |
|
| 419 | base_end_datetime_utc)) |
|
| 420 | rows_meter_hourly = cursor_billing.fetchall() |
|
| 421 | ||
| 422 | if rows_meter_hourly is not None and len(rows_meter_hourly) > 0: |
|
| 423 | print('rows_meter_hourly:' + str(rows_meter_hourly)) |
|
| 424 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
|
| 425 | base_start_datetime_utc, |
|
| 426 | base_end_datetime_utc, |
|
| 427 | period_type) |
|
| 428 | print('rows_meter_periodically:' + str(rows_meter_periodically)) |
|
| 429 | meter_report = dict() |
|
| 430 | meter_report['timestamps'] = list() |
|
| 431 | meter_report['values'] = list() |
|
| 432 | meter_report['subtotal'] = Decimal(0.0) |
|
| 433 | ||
| 434 | for row_meter_periodically in rows_meter_periodically: |
|
| 435 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 436 | timedelta(minutes=timezone_offset) |
|
| 437 | if period_type == 'hourly': |
|
| 438 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 439 | elif period_type == 'daily': |
|
| 440 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 441 | elif period_type == 'weekly': |
|
| 442 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 443 | elif period_type == 'monthly': |
|
| 444 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 445 | elif period_type == 'yearly': |
|
| 446 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 447 | ||
| 448 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
|
| 449 | ||
| 450 | meter_report['timestamps'].append(current_datetime) |
|
| 451 | meter_report['values'].append(actual_value) |
|
| 452 | meter_report['subtotal'] += actual_value |
|
| 453 | meter_report['name'] = meter['name'] |
|
| 454 | meter_report['unit_of_measure'] = \ |
|
| 455 | energy_category_dict[meter['energy_category_id']]['unit_of_measure'] |
|
| 456 | ||
| 457 | meter_base_list.append(meter_report) |
|
| 458 | ||
| 459 | meter_reporting_list = list() |
|
| 460 | ||
| 461 | for meter in meter_list: |
|
| 462 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
| 463 | " FROM tbl_meter_hourly " |
|
| 464 | " WHERE meter_id = %s " |
|
| 465 | " AND start_datetime_utc >= %s " |
|
| 466 | " AND start_datetime_utc < %s " |
|
| 467 | " ORDER BY start_datetime_utc ", |
|
| 468 | (meter['id'], |
|
| 469 | reporting_start_datetime_utc, |
|
| 470 | reporting_end_datetime_utc)) |
|
| 471 | rows_meter_hourly = cursor_billing.fetchall() |
|
| 472 | if rows_meter_hourly is not None and len(rows_meter_hourly) > 0: |
|
| 473 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
|
| 474 | reporting_start_datetime_utc, |
|
| 475 | reporting_end_datetime_utc, |
|
| 476 | period_type) |
|
| 477 | meter_report = dict() |
|
| 478 | meter_report['timestamps'] = list() |
|
| 479 | meter_report['values'] = list() |
|
| 480 | meter_report['subtotal'] = Decimal(0.0) |
|
| 481 | ||
| 482 | for row_meter_periodically in rows_meter_periodically: |
|
| 483 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 484 | timedelta(minutes=timezone_offset) |
|
| 485 | if period_type == 'hourly': |
|
| 486 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 487 | elif period_type == 'daily': |
|
| 488 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 489 | elif period_type == 'weekly': |
|
| 490 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 491 | elif period_type == 'monthly': |
|
| 492 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 493 | elif period_type == 'yearly': |
|
| 494 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 495 | ||
| 496 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
|
| 497 | ||
| 498 | meter_report['timestamps'].append(current_datetime) |
|
| 499 | meter_report['values'].append(actual_value) |
|
| 500 | meter_report['subtotal'] += actual_value |
|
| 501 | meter_report['name'] = meter['name'] |
|
| 502 | meter_report['unit_of_measure'] = \ |
|
| 503 | energy_category_dict[meter['energy_category_id']]['unit_of_measure'] |
|
| 504 | ||
| 505 | meter_reporting_list.append(meter_report) |
|
| 506 | ||
| 507 | ################################################################################################################ |
|
| 508 | # Step 13: query associated points data |
|
| 509 | ################################################################################################################ |
|
| 510 | ||
| 511 | parameters_data = dict() |
|
| 512 | parameters_data['names'] = list() |
|
| 513 | parameters_data['timestamps'] = list() |
|
| 514 | parameters_data['values'] = list() |
|
| 515 | ||
| 516 | for point in point_list: |
|
| 517 | point_values = [] |
|
| 518 | point_timestamps = [] |
|
| 519 | if point['object_type'] == 'ENERGY_VALUE': |
|
| 520 | query = (" SELECT utc_date_time, actual_value " |
|
| 521 | " FROM tbl_energy_value " |
|
| 522 | " WHERE point_id = %s " |
|
| 523 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 524 | " ORDER BY utc_date_time ") |
|
| 525 | cursor_historical.execute(query, (point['id'], |
|
| 526 | reporting_start_datetime_utc, |
|
| 527 | reporting_end_datetime_utc)) |
|
| 528 | rows = cursor_historical.fetchall() |
|
| 529 | ||
| 530 | if rows is not None and len(rows) > 0: |
|
| 531 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
|
| 532 | timedelta(minutes=timezone_offset) |
|
| 533 | current_datetime_local = reporting_start_datetime_local |
|
| 534 | ||
| 535 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
|
| 536 | timedelta(minutes=timezone_offset): |
|
| 537 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 538 | point_values.append(rows[0][1]) |
|
| 539 | current_datetime_local += timedelta(minutes=1) |
|
| 540 | ||
| 541 | for index in range(len(rows) - 1): |
|
| 542 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
|
| 543 | timedelta(minutes=timezone_offset): |
|
| 544 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 545 | point_values.append(rows[index][1]) |
|
| 546 | current_datetime_local += timedelta(minutes=1) |
|
| 547 | elif point['object_type'] == 'ANALOG_VALUE': |
|
| 548 | query = (" SELECT utc_date_time, actual_value " |
|
| 549 | " FROM tbl_analog_value " |
|
| 550 | " WHERE point_id = %s " |
|
| 551 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 552 | " ORDER BY utc_date_time ") |
|
| 553 | cursor_historical.execute(query, (point['id'], |
|
| 554 | reporting_start_datetime_utc, |
|
| 555 | reporting_end_datetime_utc)) |
|
| 556 | rows = cursor_historical.fetchall() |
|
| 557 | ||
| 558 | if rows is not None and len(rows) > 0: |
|
| 559 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
|
| 560 | timedelta(minutes=timezone_offset) |
|
| 561 | current_datetime_local = reporting_start_datetime_local |
|
| 562 | ||
| 563 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
|
| 564 | timedelta(minutes=timezone_offset): |
|
| 565 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 566 | point_values.append(rows[0][1]) |
|
| 567 | current_datetime_local += timedelta(minutes=1) |
|
| 568 | ||
| 569 | for index in range(len(rows) - 1): |
|
| 570 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
|
| 571 | timedelta(minutes=timezone_offset): |
|
| 572 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 573 | point_values.append(rows[index][1]) |
|
| 574 | current_datetime_local += timedelta(minutes=1) |
|
| 575 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
| 576 | query = (" SELECT utc_date_time, actual_value " |
|
| 577 | " FROM tbl_digital_value " |
|
| 578 | " WHERE point_id = %s " |
|
| 579 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 580 | " ORDER BY utc_date_time ") |
|
| 581 | cursor_historical.execute(query, (point['id'], |
|
| 582 | reporting_start_datetime_utc, |
|
| 583 | reporting_end_datetime_utc)) |
|
| 584 | rows = cursor_historical.fetchall() |
|
| 585 | ||
| 586 | if rows is not None and len(rows) > 0: |
|
| 587 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
|
| 588 | timedelta(minutes=timezone_offset) |
|
| 589 | current_datetime_local = reporting_start_datetime_local |
|
| 590 | ||
| 591 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
|
| 592 | timedelta(minutes=timezone_offset): |
|
| 593 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 594 | point_values.append(rows[0][1]) |
|
| 595 | current_datetime_local += timedelta(minutes=1) |
|
| 596 | ||
| 597 | for index in range(len(rows) - 1): |
|
| 598 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
|
| 599 | timedelta(minutes=timezone_offset): |
|
| 600 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 601 | point_values.append(rows[index][1]) |
|
| 602 | current_datetime_local += timedelta(minutes=1) |
|
| 603 | ||
| 604 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
| 605 | parameters_data['timestamps'].append(point_timestamps) |
|
| 606 | parameters_data['values'].append(point_values) |
|
| 607 | ||
| 608 | if cursor_system: |
|
| 609 | cursor_system.close() |
|
| 610 | if cnx_system: |
|
| 611 | cnx_system.close() |
|
| 612 | ||
| 613 | if cursor_billing: |
|
| 614 | cursor_billing.close() |
|
| 615 | if cnx_billing: |
|
| 616 | cnx_billing.close() |
|
| 617 | ||
| 618 | if cursor_historical: |
|
| 619 | cursor_historical.close() |
|
| 620 | if cnx_historical: |
|
| 621 | cnx_historical.close() |
|
| 622 | ################################################################################################################ |
|
| 623 | # Step 14: construct the report |
|
| 624 | ################################################################################################################ |
|
| 625 | result = dict() |
|
| 626 | result['microgrid'] = meta_result |
|
| 627 | result['parameters'] = { |
|
| 628 | "names": parameters_data['names'], |
|
| 629 | "timestamps": parameters_data['timestamps'], |
|
| 630 | "values": parameters_data['values'] |
|
| 631 | } |
|
| 632 | result['base_period'] = dict() |
|
| 633 | result['base_period']['names'] = list() |
|
| 634 | result['base_period']['units'] = list() |
|
| 635 | result['base_period']['timestamps'] = list() |
|
| 636 | result['base_period']['values'] = list() |
|
| 637 | result['base_period']['subtotals'] = list() |
|
| 638 | ||
| 639 | if meter_base_list is not None and len(meter_base_list) > 0: |
|
| 640 | for meter_report in meter_base_list: |
|
| 641 | result['base_period']['names'].append(meter_report['name']) |
|
| 642 | result['base_period']['units'].append(meter_report['unit_of_measure']) |
|
| 643 | result['base_period']['timestamps'].append(meter_report['timestamps']) |
|
| 644 | result['base_period']['values'].append(meter_report['values']) |
|
| 645 | result['base_period']['subtotals'].append(meter_report['subtotal']) |
|
| 646 | ||
| 647 | result['reporting_period'] = dict() |
|
| 648 | result['reporting_period']['names'] = list() |
|
| 649 | result['reporting_period']['units'] = list() |
|
| 650 | result['reporting_period']['subtotals'] = list() |
|
| 651 | result['reporting_period']['increment_rates'] = list() |
|
| 652 | result['reporting_period']['timestamps'] = list() |
|
| 653 | result['reporting_period']['values'] = list() |
|
| 654 | ||
| 655 | if meter_reporting_list is not None and len(meter_reporting_list) > 0: |
|
| 656 | for meter_report in meter_reporting_list: |
|
| 657 | result['reporting_period']['names'].append(meter_report['name']) |
|
| 658 | result['reporting_period']['units'].append(meter_report['unit_of_measure']) |
|
| 659 | result['reporting_period']['timestamps'].append(meter_report['timestamps']) |
|
| 660 | result['reporting_period']['values'].append(meter_report['values']) |
|
| 661 | result['reporting_period']['subtotals'].append(meter_report['subtotal']) |
|
| 662 | ||
| 663 | # export result to Excel file and then encode the file to base64 string |
|
| 664 | if not is_quick_mode: |
|
| 665 | result['excel_bytes_base64'] = \ |
|
| 666 | excelexporters.microgridreportingrevenue.\ |
|
| 667 | export(result, |
|
| 668 | result['microgrid']['name'], |
|
| 669 | reporting_period_start_datetime_local, |
|
| 670 | reporting_period_end_datetime_local, |
|
| 671 | base_period_start_datetime_local, |
|
| 672 | base_period_end_datetime_local, |
|
| 673 | period_type, |
|
| 674 | language) |
|
| 675 | resp.text = json.dumps(result) |
|
| 676 | ||
| @@ 13-675 (lines=663) @@ | ||
| 10 | from core.useractivity import access_control, api_key_control |
|
| 11 | ||
| 12 | ||
| 13 | class Reporting: |
|
| 14 | def __init__(self): |
|
| 15 | """Initializes Class""" |
|
| 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 microgrid |
|
| 27 | # Step 3: query associated batteries |
|
| 28 | # Step 4: query associated ev chargers |
|
| 29 | # Step 5: query associated generators |
|
| 30 | # Step 6: query associated grids |
|
| 31 | # Step 7: query associated heat pumps |
|
| 32 | # Step 8: query associated loads |
|
| 33 | # Step 9: query associated photovoltaics |
|
| 34 | # Step 10: query associated power conversion systems |
|
| 35 | # Step 11: query associated sensors |
|
| 36 | # Step 12: query associated meters data |
|
| 37 | # Step 13: query associated points data |
|
| 38 | # Step 14: construct the report |
|
| 39 | #################################################################################################################### |
|
| 40 | @staticmethod |
|
| 41 | def on_get(req, resp): |
|
| 42 | if 'API-KEY' not in req.headers or \ |
|
| 43 | not isinstance(req.headers['API-KEY'], str) or \ |
|
| 44 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
| 45 | access_control(req) |
|
| 46 | else: |
|
| 47 | api_key_control(req) |
|
| 48 | print(req.params) |
|
| 49 | # this procedure accepts microgrid id or |
|
| 50 | # microgrid uuid to identify a microgrid |
|
| 51 | microgrid_id = req.params.get('id') |
|
| 52 | microgrid_uuid = req.params.get('uuid') |
|
| 53 | period_type = req.params.get('periodtype') |
|
| 54 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
| 55 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
| 56 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
| 57 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
| 58 | language = req.params.get('language') |
|
| 59 | quick_mode = req.params.get('quickmode') |
|
| 60 | ||
| 61 | ################################################################################################################ |
|
| 62 | # Step 1: valid parameters |
|
| 63 | ################################################################################################################ |
|
| 64 | if microgrid_id is None and microgrid_uuid is None: |
|
| 65 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 66 | description='API.INVALID_MICROGRID_ID') |
|
| 67 | ||
| 68 | if microgrid_id is not None: |
|
| 69 | microgrid_id = str.strip(microgrid_id) |
|
| 70 | if not microgrid_id.isdigit() or int(microgrid_id) <= 0: |
|
| 71 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 72 | description='API.INVALID_MICROGRID_ID') |
|
| 73 | ||
| 74 | if microgrid_uuid is not None: |
|
| 75 | regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
|
| 76 | match = regex.match(str.strip(microgrid_uuid)) |
|
| 77 | if not bool(match): |
|
| 78 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 79 | description='API.INVALID_MICROGRID_UUID') |
|
| 80 | ||
| 81 | if period_type is None: |
|
| 82 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 83 | description='API.INVALID_PERIOD_TYPE') |
|
| 84 | else: |
|
| 85 | period_type = str.strip(period_type) |
|
| 86 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
| 87 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 88 | description='API.INVALID_PERIOD_TYPE') |
|
| 89 | ||
| 90 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 91 | if config.utc_offset[0] == '-': |
|
| 92 | timezone_offset = -timezone_offset |
|
| 93 | ||
| 94 | base_start_datetime_utc = None |
|
| 95 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
| 96 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
| 97 | try: |
|
| 98 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 99 | except ValueError: |
|
| 100 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 101 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 102 | base_start_datetime_utc = \ |
|
| 103 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 104 | # nomalize the start datetime |
|
| 105 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
| 106 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 107 | else: |
|
| 108 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 109 | ||
| 110 | base_end_datetime_utc = None |
|
| 111 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
| 112 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
| 113 | try: |
|
| 114 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 115 | except ValueError: |
|
| 116 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 117 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 118 | base_end_datetime_utc = \ |
|
| 119 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 120 | ||
| 121 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 122 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 123 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 124 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 125 | ||
| 126 | if reporting_period_start_datetime_local is None: |
|
| 127 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 128 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 129 | else: |
|
| 130 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
| 131 | try: |
|
| 132 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
| 133 | '%Y-%m-%dT%H:%M:%S') |
|
| 134 | except ValueError: |
|
| 135 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 136 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 137 | reporting_start_datetime_utc = \ |
|
| 138 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 139 | # nomalize the start datetime |
|
| 140 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
| 141 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 142 | else: |
|
| 143 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 144 | ||
| 145 | if reporting_period_end_datetime_local is None: |
|
| 146 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 147 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 148 | else: |
|
| 149 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
| 150 | try: |
|
| 151 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
| 152 | '%Y-%m-%dT%H:%M:%S') |
|
| 153 | except ValueError: |
|
| 154 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 155 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 156 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
|
| 157 | timedelta(minutes=timezone_offset) |
|
| 158 | ||
| 159 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 160 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 161 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 162 | ||
| 163 | # if turn quick mode on, do not return parameters data and excel file |
|
| 164 | is_quick_mode = False |
|
| 165 | if quick_mode is not None and \ |
|
| 166 | len(str.strip(quick_mode)) > 0 and \ |
|
| 167 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
|
| 168 | is_quick_mode = True |
|
| 169 | ||
| 170 | trans = utilities.get_translation(language) |
|
| 171 | trans.install() |
|
| 172 | _ = trans.gettext |
|
| 173 | ||
| 174 | ################################################################################################################ |
|
| 175 | # Step 2: query the microgrid |
|
| 176 | ################################################################################################################ |
|
| 177 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 178 | cursor_system = cnx_system.cursor() |
|
| 179 | ||
| 180 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 181 | cursor_historical = cnx_historical.cursor() |
|
| 182 | ||
| 183 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
| 184 | cursor_energy = cnx_energy.cursor() |
|
| 185 | ||
| 186 | # query all contacts in system |
|
| 187 | query = (" SELECT id, name, uuid " |
|
| 188 | " FROM tbl_contacts ") |
|
| 189 | cursor_system.execute(query) |
|
| 190 | rows_contacts = cursor_system.fetchall() |
|
| 191 | ||
| 192 | contact_dict = dict() |
|
| 193 | if rows_contacts is not None and len(rows_contacts) > 0: |
|
| 194 | for row in rows_contacts: |
|
| 195 | contact_dict[row[0]] = {"id": row[0], |
|
| 196 | "name": row[1], |
|
| 197 | "uuid": row[2]} |
|
| 198 | # query all cost centers in system |
|
| 199 | query = (" SELECT id, name, uuid " |
|
| 200 | " FROM tbl_cost_centers ") |
|
| 201 | cursor_system.execute(query) |
|
| 202 | rows_cost_centers = cursor_system.fetchall() |
|
| 203 | ||
| 204 | cost_center_dict = dict() |
|
| 205 | if rows_cost_centers is not None and len(rows_cost_centers) > 0: |
|
| 206 | for row in rows_cost_centers: |
|
| 207 | cost_center_dict[row[0]] = {"id": row[0], |
|
| 208 | "name": row[1], |
|
| 209 | "uuid": row[2]} |
|
| 210 | ||
| 211 | # query all energy categories in system |
|
| 212 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 213 | " FROM tbl_energy_categories " |
|
| 214 | " ORDER BY id ", ) |
|
| 215 | rows_energy_categories = cursor_system.fetchall() |
|
| 216 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 217 | if cursor_system: |
|
| 218 | cursor_system.close() |
|
| 219 | if cnx_system: |
|
| 220 | cnx_system.close() |
|
| 221 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 222 | title='API.NOT_FOUND', |
|
| 223 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 224 | energy_category_dict = dict() |
|
| 225 | for row_energy_category in rows_energy_categories: |
|
| 226 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 227 | "unit_of_measure": row_energy_category[2], |
|
| 228 | "kgce": row_energy_category[3], |
|
| 229 | "kgco2e": row_energy_category[4]} |
|
| 230 | ||
| 231 | if microgrid_id is not None: |
|
| 232 | query = (" SELECT id, name, uuid, " |
|
| 233 | " address, postal_code, latitude, longitude, rated_capacity, rated_power, " |
|
| 234 | " contact_id, cost_center_id " |
|
| 235 | " FROM tbl_microgrids " |
|
| 236 | " WHERE id = %s ") |
|
| 237 | cursor_system.execute(query, (microgrid_id,)) |
|
| 238 | row = cursor_system.fetchone() |
|
| 239 | elif microgrid_uuid is not None: |
|
| 240 | query = (" SELECT id, name, uuid, " |
|
| 241 | " address, postal_code, latitude, longitude, rated_capacity, rated_power, " |
|
| 242 | " contact_id, cost_center_id " |
|
| 243 | " FROM tbl_microgrids " |
|
| 244 | " WHERE uuid = %s ") |
|
| 245 | cursor_system.execute(query, (microgrid_uuid,)) |
|
| 246 | row = cursor_system.fetchone() |
|
| 247 | ||
| 248 | if row is None: |
|
| 249 | cursor_system.close() |
|
| 250 | cnx_system.close() |
|
| 251 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 252 | description='API.MICROGRID_NOT_FOUND') |
|
| 253 | else: |
|
| 254 | microgrid_id = row[0] |
|
| 255 | meta_result = {"id": row[0], |
|
| 256 | "name": row[1], |
|
| 257 | "uuid": row[2], |
|
| 258 | "address": row[3], |
|
| 259 | "postal_code": row[4], |
|
| 260 | "latitude": row[5], |
|
| 261 | "longitude": row[6], |
|
| 262 | "rated_capacity": row[7], |
|
| 263 | "rated_power": row[8], |
|
| 264 | "contact": contact_dict.get(row[9], None), |
|
| 265 | "cost_center": cost_center_dict.get(row[10], None), |
|
| 266 | "qrcode": 'microgrid:' + row[2]} |
|
| 267 | ||
| 268 | point_list = list() |
|
| 269 | meter_list = list() |
|
| 270 | ||
| 271 | ################################################################################################################ |
|
| 272 | # Step 4: query associated batteries data |
|
| 273 | ################################################################################################################ |
|
| 274 | cursor_system.execute(" SELECT p.id, mb.name, p.units, p.object_type " |
|
| 275 | " FROM tbl_microgrids_batteries mb, tbl_points p " |
|
| 276 | " WHERE mb.microgrid_id = %s AND mb.soc_point_id = p.id ", |
|
| 277 | (microgrid_id,)) |
|
| 278 | row_point = cursor_system.fetchone() |
|
| 279 | if row_point is not None: |
|
| 280 | point_list.append({"id": row_point[0], |
|
| 281 | "name": row_point[1] + '.SOC', |
|
| 282 | "units": row_point[2], |
|
| 283 | "object_type": row_point[3]}) |
|
| 284 | ||
| 285 | cursor_system.execute(" SELECT p.id, mb.name, p.units, p.object_type " |
|
| 286 | " FROM tbl_microgrids_batteries mb, tbl_points p " |
|
| 287 | " WHERE mb.microgrid_id = %s AND mb.power_point_id = p.id ", |
|
| 288 | (microgrid_id,)) |
|
| 289 | row_point = cursor_system.fetchone() |
|
| 290 | if row_point is not None: |
|
| 291 | point_list.append({"id": row_point[0], |
|
| 292 | "name": row_point[1]+'.P', |
|
| 293 | "units": row_point[2], |
|
| 294 | "object_type": row_point[3]}) |
|
| 295 | ||
| 296 | cursor_system.execute(" SELECT m.id, mb.name, m.energy_category_id " |
|
| 297 | " FROM tbl_microgrids_batteries mb, tbl_meters m " |
|
| 298 | " WHERE mb.microgrid_id = %s AND mb.charge_meter_id = m.id ", |
|
| 299 | (microgrid_id,)) |
|
| 300 | row_meter = cursor_system.fetchone() |
|
| 301 | if row_meter is not None: |
|
| 302 | meter_list.append({"id": row_meter[0], |
|
| 303 | "name": row_meter[1] + '-Charge', |
|
| 304 | "energy_category_id": row_meter[2]}) |
|
| 305 | ||
| 306 | cursor_system.execute(" SELECT m.id, mb.name, m.energy_category_id " |
|
| 307 | " FROM tbl_microgrids_batteries mb, tbl_meters m " |
|
| 308 | " WHERE mb.microgrid_id = %s AND mb.discharge_meter_id = m.id ", |
|
| 309 | (microgrid_id,)) |
|
| 310 | row_meter = cursor_system.fetchone() |
|
| 311 | if row_meter is not None: |
|
| 312 | meter_list.append({"id": row_meter[0], |
|
| 313 | "name": row_meter[1] + '-Discharge', |
|
| 314 | "energy_category_id": row_meter[2]}) |
|
| 315 | ||
| 316 | ################################################################################################################ |
|
| 317 | # Step 4: query associated ev chargers |
|
| 318 | ################################################################################################################ |
|
| 319 | ||
| 320 | ################################################################################################################ |
|
| 321 | # Step 5: query associated generators |
|
| 322 | ################################################################################################################ |
|
| 323 | ||
| 324 | ################################################################################################################ |
|
| 325 | # Step 6: query associated grids |
|
| 326 | ################################################################################################################ |
|
| 327 | cursor_system.execute(" SELECT p.id, mg.name, p.units, p.object_type " |
|
| 328 | " FROM tbl_microgrids_grids mg, tbl_points p " |
|
| 329 | " WHERE mg.microgrid_id = %s AND mg.power_point_id = p.id ", |
|
| 330 | (microgrid_id,)) |
|
| 331 | row_point = cursor_system.fetchone() |
|
| 332 | if row_point is not None: |
|
| 333 | point_list.append({"id": row_point[0], |
|
| 334 | "name": row_point[1]+'.P', |
|
| 335 | "units": row_point[2], |
|
| 336 | "object_type": row_point[3]}) |
|
| 337 | ||
| 338 | cursor_system.execute(" SELECT m.id, mg.name, m.energy_category_id " |
|
| 339 | " FROM tbl_microgrids_grids mg, tbl_meters m " |
|
| 340 | " WHERE mg.microgrid_id = %s AND mg.buy_meter_id = m.id ", |
|
| 341 | (microgrid_id,)) |
|
| 342 | row_meter = cursor_system.fetchone() |
|
| 343 | if row_meter is not None: |
|
| 344 | meter_list.append({"id": row_meter[0], |
|
| 345 | "name": row_meter[1] + '-Buy', |
|
| 346 | "energy_category_id": row_meter[2]}) |
|
| 347 | ||
| 348 | cursor_system.execute(" SELECT m.id, mg.name, m.energy_category_id " |
|
| 349 | " FROM tbl_microgrids_grids mg, tbl_meters m " |
|
| 350 | " WHERE mg.microgrid_id = %s AND mg.sell_meter_id = m.id ", |
|
| 351 | (microgrid_id,)) |
|
| 352 | row_meter = cursor_system.fetchone() |
|
| 353 | if row_meter is not None: |
|
| 354 | meter_list.append({"id": row_meter[0], |
|
| 355 | "name": row_meter[1] + '-Sell', |
|
| 356 | "energy_category_id": row_meter[2]}) |
|
| 357 | ||
| 358 | ################################################################################################################ |
|
| 359 | # Step 7: query associated heat pumps |
|
| 360 | ################################################################################################################ |
|
| 361 | ||
| 362 | ################################################################################################################ |
|
| 363 | # Step 8: query associated loads |
|
| 364 | ################################################################################################################ |
|
| 365 | cursor_system.execute(" SELECT p.id, ml.name, p.units, p.object_type " |
|
| 366 | " FROM tbl_microgrids_loads ml, tbl_points p " |
|
| 367 | " WHERE ml.microgrid_id = %s AND ml.power_point_id = p.id ", |
|
| 368 | (microgrid_id,)) |
|
| 369 | row_point = cursor_system.fetchone() |
|
| 370 | if row_point is not None: |
|
| 371 | point_list.append({"id": row_point[0], |
|
| 372 | "name": row_point[1]+'.P', |
|
| 373 | "units": row_point[2], |
|
| 374 | "object_type": row_point[3]}) |
|
| 375 | ||
| 376 | cursor_system.execute(" SELECT m.id, ml.name, m.energy_category_id " |
|
| 377 | " FROM tbl_microgrids_loads ml, tbl_meters m " |
|
| 378 | " WHERE ml.microgrid_id = %s AND ml.meter_id = m.id ", |
|
| 379 | (microgrid_id,)) |
|
| 380 | row_meter = cursor_system.fetchone() |
|
| 381 | if row_meter is not None: |
|
| 382 | meter_list.append({"id": row_meter[0], |
|
| 383 | "name": row_meter[1], |
|
| 384 | "energy_category_id": row_meter[2]}) |
|
| 385 | ||
| 386 | ################################################################################################################ |
|
| 387 | # Step 9: query associated photovoltaics |
|
| 388 | ################################################################################################################ |
|
| 389 | # todo |
|
| 390 | ||
| 391 | ################################################################################################################ |
|
| 392 | # Step 10: query associated power conversion systems |
|
| 393 | ################################################################################################################ |
|
| 394 | # todo |
|
| 395 | ||
| 396 | ################################################################################################################ |
|
| 397 | # Step 11: query associated sensors |
|
| 398 | ################################################################################################################ |
|
| 399 | # todo |
|
| 400 | ||
| 401 | ################################################################################################################ |
|
| 402 | # Step 12: query associated meters data |
|
| 403 | ################################################################################################################ |
|
| 404 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 405 | if config.utc_offset[0] == '-': |
|
| 406 | timezone_offset = -timezone_offset |
|
| 407 | ||
| 408 | meter_base_list = list() |
|
| 409 | ||
| 410 | for meter in meter_list: |
|
| 411 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 412 | " FROM tbl_meter_hourly " |
|
| 413 | " WHERE meter_id = %s " |
|
| 414 | " AND start_datetime_utc >= %s " |
|
| 415 | " AND start_datetime_utc < %s " |
|
| 416 | " ORDER BY start_datetime_utc ", |
|
| 417 | (meter['id'], |
|
| 418 | base_start_datetime_utc, |
|
| 419 | base_end_datetime_utc)) |
|
| 420 | rows_meter_hourly = cursor_energy.fetchall() |
|
| 421 | ||
| 422 | if rows_meter_hourly is not None and len(rows_meter_hourly) > 0: |
|
| 423 | print('rows_meter_hourly:' + str(rows_meter_hourly)) |
|
| 424 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
|
| 425 | base_start_datetime_utc, |
|
| 426 | base_end_datetime_utc, |
|
| 427 | period_type) |
|
| 428 | print('rows_meter_periodically:' + str(rows_meter_periodically)) |
|
| 429 | meter_report = dict() |
|
| 430 | meter_report['timestamps'] = list() |
|
| 431 | meter_report['values'] = list() |
|
| 432 | meter_report['subtotal'] = Decimal(0.0) |
|
| 433 | ||
| 434 | for row_meter_periodically in rows_meter_periodically: |
|
| 435 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 436 | timedelta(minutes=timezone_offset) |
|
| 437 | if period_type == 'hourly': |
|
| 438 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 439 | elif period_type == 'daily': |
|
| 440 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 441 | elif period_type == 'weekly': |
|
| 442 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 443 | elif period_type == 'monthly': |
|
| 444 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 445 | elif period_type == 'yearly': |
|
| 446 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 447 | ||
| 448 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
|
| 449 | ||
| 450 | meter_report['timestamps'].append(current_datetime) |
|
| 451 | meter_report['values'].append(actual_value) |
|
| 452 | meter_report['subtotal'] += actual_value |
|
| 453 | meter_report['name'] = meter['name'] |
|
| 454 | meter_report['unit_of_measure'] = \ |
|
| 455 | energy_category_dict[meter['energy_category_id']]['unit_of_measure'] |
|
| 456 | ||
| 457 | meter_base_list.append(meter_report) |
|
| 458 | ||
| 459 | meter_reporting_list = list() |
|
| 460 | ||
| 461 | for meter in meter_list: |
|
| 462 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 463 | " FROM tbl_meter_hourly " |
|
| 464 | " WHERE meter_id = %s " |
|
| 465 | " AND start_datetime_utc >= %s " |
|
| 466 | " AND start_datetime_utc < %s " |
|
| 467 | " ORDER BY start_datetime_utc ", |
|
| 468 | (meter['id'], |
|
| 469 | reporting_start_datetime_utc, |
|
| 470 | reporting_end_datetime_utc)) |
|
| 471 | rows_meter_hourly = cursor_energy.fetchall() |
|
| 472 | if rows_meter_hourly is not None and len(rows_meter_hourly) > 0: |
|
| 473 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
|
| 474 | reporting_start_datetime_utc, |
|
| 475 | reporting_end_datetime_utc, |
|
| 476 | period_type) |
|
| 477 | meter_report = dict() |
|
| 478 | meter_report['timestamps'] = list() |
|
| 479 | meter_report['values'] = list() |
|
| 480 | meter_report['subtotal'] = Decimal(0.0) |
|
| 481 | ||
| 482 | for row_meter_periodically in rows_meter_periodically: |
|
| 483 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 484 | timedelta(minutes=timezone_offset) |
|
| 485 | if period_type == 'hourly': |
|
| 486 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 487 | elif period_type == 'daily': |
|
| 488 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 489 | elif period_type == 'weekly': |
|
| 490 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 491 | elif period_type == 'monthly': |
|
| 492 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 493 | elif period_type == 'yearly': |
|
| 494 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 495 | ||
| 496 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
|
| 497 | ||
| 498 | meter_report['timestamps'].append(current_datetime) |
|
| 499 | meter_report['values'].append(actual_value) |
|
| 500 | meter_report['subtotal'] += actual_value |
|
| 501 | meter_report['name'] = meter['name'] |
|
| 502 | meter_report['unit_of_measure'] = \ |
|
| 503 | energy_category_dict[meter['energy_category_id']]['unit_of_measure'] |
|
| 504 | ||
| 505 | meter_reporting_list.append(meter_report) |
|
| 506 | ||
| 507 | ################################################################################################################ |
|
| 508 | # Step 13: query associated points data |
|
| 509 | ################################################################################################################ |
|
| 510 | ||
| 511 | parameters_data = dict() |
|
| 512 | parameters_data['names'] = list() |
|
| 513 | parameters_data['timestamps'] = list() |
|
| 514 | parameters_data['values'] = list() |
|
| 515 | ||
| 516 | for point in point_list: |
|
| 517 | point_values = [] |
|
| 518 | point_timestamps = [] |
|
| 519 | if point['object_type'] == 'ENERGY_VALUE': |
|
| 520 | query = (" SELECT utc_date_time, actual_value " |
|
| 521 | " FROM tbl_energy_value " |
|
| 522 | " WHERE point_id = %s " |
|
| 523 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 524 | " ORDER BY utc_date_time ") |
|
| 525 | cursor_historical.execute(query, (point['id'], |
|
| 526 | reporting_start_datetime_utc, |
|
| 527 | reporting_end_datetime_utc)) |
|
| 528 | rows = cursor_historical.fetchall() |
|
| 529 | ||
| 530 | if rows is not None and len(rows) > 0: |
|
| 531 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
|
| 532 | timedelta(minutes=timezone_offset) |
|
| 533 | current_datetime_local = reporting_start_datetime_local |
|
| 534 | ||
| 535 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
|
| 536 | timedelta(minutes=timezone_offset): |
|
| 537 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 538 | point_values.append(rows[0][1]) |
|
| 539 | current_datetime_local += timedelta(minutes=1) |
|
| 540 | ||
| 541 | for index in range(len(rows) - 1): |
|
| 542 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
|
| 543 | timedelta(minutes=timezone_offset): |
|
| 544 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 545 | point_values.append(rows[index][1]) |
|
| 546 | current_datetime_local += timedelta(minutes=1) |
|
| 547 | elif point['object_type'] == 'ANALOG_VALUE': |
|
| 548 | query = (" SELECT utc_date_time, actual_value " |
|
| 549 | " FROM tbl_analog_value " |
|
| 550 | " WHERE point_id = %s " |
|
| 551 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 552 | " ORDER BY utc_date_time ") |
|
| 553 | cursor_historical.execute(query, (point['id'], |
|
| 554 | reporting_start_datetime_utc, |
|
| 555 | reporting_end_datetime_utc)) |
|
| 556 | rows = cursor_historical.fetchall() |
|
| 557 | ||
| 558 | if rows is not None and len(rows) > 0: |
|
| 559 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
|
| 560 | timedelta(minutes=timezone_offset) |
|
| 561 | current_datetime_local = reporting_start_datetime_local |
|
| 562 | ||
| 563 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
|
| 564 | timedelta(minutes=timezone_offset): |
|
| 565 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 566 | point_values.append(rows[0][1]) |
|
| 567 | current_datetime_local += timedelta(minutes=1) |
|
| 568 | ||
| 569 | for index in range(len(rows) - 1): |
|
| 570 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
|
| 571 | timedelta(minutes=timezone_offset): |
|
| 572 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 573 | point_values.append(rows[index][1]) |
|
| 574 | current_datetime_local += timedelta(minutes=1) |
|
| 575 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
| 576 | query = (" SELECT utc_date_time, actual_value " |
|
| 577 | " FROM tbl_digital_value " |
|
| 578 | " WHERE point_id = %s " |
|
| 579 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 580 | " ORDER BY utc_date_time ") |
|
| 581 | cursor_historical.execute(query, (point['id'], |
|
| 582 | reporting_start_datetime_utc, |
|
| 583 | reporting_end_datetime_utc)) |
|
| 584 | rows = cursor_historical.fetchall() |
|
| 585 | ||
| 586 | if rows is not None and len(rows) > 0: |
|
| 587 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
|
| 588 | timedelta(minutes=timezone_offset) |
|
| 589 | current_datetime_local = reporting_start_datetime_local |
|
| 590 | ||
| 591 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
|
| 592 | timedelta(minutes=timezone_offset): |
|
| 593 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 594 | point_values.append(rows[0][1]) |
|
| 595 | current_datetime_local += timedelta(minutes=1) |
|
| 596 | ||
| 597 | for index in range(len(rows) - 1): |
|
| 598 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
|
| 599 | timedelta(minutes=timezone_offset): |
|
| 600 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 601 | point_values.append(rows[index][1]) |
|
| 602 | current_datetime_local += timedelta(minutes=1) |
|
| 603 | ||
| 604 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
| 605 | parameters_data['timestamps'].append(point_timestamps) |
|
| 606 | parameters_data['values'].append(point_values) |
|
| 607 | ||
| 608 | if cursor_system: |
|
| 609 | cursor_system.close() |
|
| 610 | if cnx_system: |
|
| 611 | cnx_system.close() |
|
| 612 | ||
| 613 | if cursor_energy: |
|
| 614 | cursor_energy.close() |
|
| 615 | if cnx_energy: |
|
| 616 | cnx_energy.close() |
|
| 617 | ||
| 618 | if cursor_historical: |
|
| 619 | cursor_historical.close() |
|
| 620 | if cnx_historical: |
|
| 621 | cnx_historical.close() |
|
| 622 | ################################################################################################################ |
|
| 623 | # Step 14: construct the report |
|
| 624 | ################################################################################################################ |
|
| 625 | result = dict() |
|
| 626 | result['microgrid'] = meta_result |
|
| 627 | result['parameters'] = { |
|
| 628 | "names": parameters_data['names'], |
|
| 629 | "timestamps": parameters_data['timestamps'], |
|
| 630 | "values": parameters_data['values'] |
|
| 631 | } |
|
| 632 | result['base_period'] = dict() |
|
| 633 | result['base_period']['names'] = list() |
|
| 634 | result['base_period']['units'] = list() |
|
| 635 | result['base_period']['timestamps'] = list() |
|
| 636 | result['base_period']['values'] = list() |
|
| 637 | result['base_period']['subtotals'] = list() |
|
| 638 | ||
| 639 | if meter_base_list is not None and len(meter_base_list) > 0: |
|
| 640 | for meter_report in meter_base_list: |
|
| 641 | result['base_period']['names'].append(meter_report['name']) |
|
| 642 | result['base_period']['units'].append(meter_report['unit_of_measure']) |
|
| 643 | result['base_period']['timestamps'].append(meter_report['timestamps']) |
|
| 644 | result['base_period']['values'].append(meter_report['values']) |
|
| 645 | result['base_period']['subtotals'].append(meter_report['subtotal']) |
|
| 646 | ||
| 647 | result['reporting_period'] = dict() |
|
| 648 | result['reporting_period']['names'] = list() |
|
| 649 | result['reporting_period']['units'] = list() |
|
| 650 | result['reporting_period']['subtotals'] = list() |
|
| 651 | result['reporting_period']['increment_rates'] = list() |
|
| 652 | result['reporting_period']['timestamps'] = list() |
|
| 653 | result['reporting_period']['values'] = list() |
|
| 654 | ||
| 655 | if meter_reporting_list is not None and len(meter_reporting_list) > 0: |
|
| 656 | for meter_report in meter_reporting_list: |
|
| 657 | result['reporting_period']['names'].append(meter_report['name']) |
|
| 658 | result['reporting_period']['units'].append(meter_report['unit_of_measure']) |
|
| 659 | result['reporting_period']['timestamps'].append(meter_report['timestamps']) |
|
| 660 | result['reporting_period']['values'].append(meter_report['values']) |
|
| 661 | result['reporting_period']['subtotals'].append(meter_report['subtotal']) |
|
| 662 | ||
| 663 | # export result to Excel file and then encode the file to base64 string |
|
| 664 | if not is_quick_mode: |
|
| 665 | result['excel_bytes_base64'] = \ |
|
| 666 | excelexporters.microgridreportingenergy.\ |
|
| 667 | export(result, |
|
| 668 | result['microgrid']['name'], |
|
| 669 | reporting_period_start_datetime_local, |
|
| 670 | reporting_period_end_datetime_local, |
|
| 671 | base_period_start_datetime_local, |
|
| 672 | base_period_end_datetime_local, |
|
| 673 | period_type, |
|
| 674 | language) |
|
| 675 | resp.text = json.dumps(result) |
|
| 676 | ||
| @@ 13-675 (lines=663) @@ | ||
| 10 | from core.useractivity import access_control, api_key_control |
|
| 11 | ||
| 12 | ||
| 13 | class Reporting: |
|
| 14 | def __init__(self): |
|
| 15 | """Initializes Class""" |
|
| 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 microgrid |
|
| 27 | # Step 3: query associated batteries |
|
| 28 | # Step 4: query associated ev chargers |
|
| 29 | # Step 5: query associated generators |
|
| 30 | # Step 6: query associated grids |
|
| 31 | # Step 7: query associated heat pumps |
|
| 32 | # Step 8: query associated loads |
|
| 33 | # Step 9: query associated photovoltaics |
|
| 34 | # Step 10: query associated power conversion systems |
|
| 35 | # Step 11: query associated sensors |
|
| 36 | # Step 12: query associated meters data |
|
| 37 | # Step 13: query associated points data |
|
| 38 | # Step 14: construct the report |
|
| 39 | #################################################################################################################### |
|
| 40 | @staticmethod |
|
| 41 | def on_get(req, resp): |
|
| 42 | if 'API-KEY' not in req.headers or \ |
|
| 43 | not isinstance(req.headers['API-KEY'], str) or \ |
|
| 44 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
| 45 | access_control(req) |
|
| 46 | else: |
|
| 47 | api_key_control(req) |
|
| 48 | print(req.params) |
|
| 49 | # this procedure accepts microgrid id or |
|
| 50 | # microgrid uuid to identify a microgrid |
|
| 51 | microgrid_id = req.params.get('id') |
|
| 52 | microgrid_uuid = req.params.get('uuid') |
|
| 53 | period_type = req.params.get('periodtype') |
|
| 54 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
| 55 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
| 56 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
| 57 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
| 58 | language = req.params.get('language') |
|
| 59 | quick_mode = req.params.get('quickmode') |
|
| 60 | ||
| 61 | ################################################################################################################ |
|
| 62 | # Step 1: valid parameters |
|
| 63 | ################################################################################################################ |
|
| 64 | if microgrid_id is None and microgrid_uuid is None: |
|
| 65 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 66 | description='API.INVALID_MICROGRID_ID') |
|
| 67 | ||
| 68 | if microgrid_id is not None: |
|
| 69 | microgrid_id = str.strip(microgrid_id) |
|
| 70 | if not microgrid_id.isdigit() or int(microgrid_id) <= 0: |
|
| 71 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 72 | description='API.INVALID_MICROGRID_ID') |
|
| 73 | ||
| 74 | if microgrid_uuid is not None: |
|
| 75 | regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
|
| 76 | match = regex.match(str.strip(microgrid_uuid)) |
|
| 77 | if not bool(match): |
|
| 78 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 79 | description='API.INVALID_MICROGRID_UUID') |
|
| 80 | ||
| 81 | if period_type is None: |
|
| 82 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 83 | description='API.INVALID_PERIOD_TYPE') |
|
| 84 | else: |
|
| 85 | period_type = str.strip(period_type) |
|
| 86 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
| 87 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 88 | description='API.INVALID_PERIOD_TYPE') |
|
| 89 | ||
| 90 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 91 | if config.utc_offset[0] == '-': |
|
| 92 | timezone_offset = -timezone_offset |
|
| 93 | ||
| 94 | base_start_datetime_utc = None |
|
| 95 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
| 96 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
| 97 | try: |
|
| 98 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 99 | except ValueError: |
|
| 100 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 101 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 102 | base_start_datetime_utc = \ |
|
| 103 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 104 | # nomalize the start datetime |
|
| 105 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
| 106 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 107 | else: |
|
| 108 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 109 | ||
| 110 | base_end_datetime_utc = None |
|
| 111 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
| 112 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
| 113 | try: |
|
| 114 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 115 | except ValueError: |
|
| 116 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 117 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 118 | base_end_datetime_utc = \ |
|
| 119 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 120 | ||
| 121 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 122 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 123 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 124 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 125 | ||
| 126 | if reporting_period_start_datetime_local is None: |
|
| 127 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 128 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 129 | else: |
|
| 130 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
| 131 | try: |
|
| 132 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
| 133 | '%Y-%m-%dT%H:%M:%S') |
|
| 134 | except ValueError: |
|
| 135 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 136 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 137 | reporting_start_datetime_utc = \ |
|
| 138 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 139 | # nomalize the start datetime |
|
| 140 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
| 141 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 142 | else: |
|
| 143 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 144 | ||
| 145 | if reporting_period_end_datetime_local is None: |
|
| 146 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 147 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 148 | else: |
|
| 149 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
| 150 | try: |
|
| 151 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
| 152 | '%Y-%m-%dT%H:%M:%S') |
|
| 153 | except ValueError: |
|
| 154 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 155 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 156 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
|
| 157 | timedelta(minutes=timezone_offset) |
|
| 158 | ||
| 159 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 160 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 161 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 162 | ||
| 163 | # if turn quick mode on, do not return parameters data and excel file |
|
| 164 | is_quick_mode = False |
|
| 165 | if quick_mode is not None and \ |
|
| 166 | len(str.strip(quick_mode)) > 0 and \ |
|
| 167 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
|
| 168 | is_quick_mode = True |
|
| 169 | ||
| 170 | trans = utilities.get_translation(language) |
|
| 171 | trans.install() |
|
| 172 | _ = trans.gettext |
|
| 173 | ||
| 174 | ################################################################################################################ |
|
| 175 | # Step 2: query the microgrid |
|
| 176 | ################################################################################################################ |
|
| 177 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 178 | cursor_system = cnx_system.cursor() |
|
| 179 | ||
| 180 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 181 | cursor_historical = cnx_historical.cursor() |
|
| 182 | ||
| 183 | cnx_carbon = mysql.connector.connect(**config.myems_carbon_db) |
|
| 184 | cursor_carbon = cnx_carbon.cursor() |
|
| 185 | ||
| 186 | # query all contacts in system |
|
| 187 | query = (" SELECT id, name, uuid " |
|
| 188 | " FROM tbl_contacts ") |
|
| 189 | cursor_system.execute(query) |
|
| 190 | rows_contacts = cursor_system.fetchall() |
|
| 191 | ||
| 192 | contact_dict = dict() |
|
| 193 | if rows_contacts is not None and len(rows_contacts) > 0: |
|
| 194 | for row in rows_contacts: |
|
| 195 | contact_dict[row[0]] = {"id": row[0], |
|
| 196 | "name": row[1], |
|
| 197 | "uuid": row[2]} |
|
| 198 | # query all cost centers in system |
|
| 199 | query = (" SELECT id, name, uuid " |
|
| 200 | " FROM tbl_cost_centers ") |
|
| 201 | cursor_system.execute(query) |
|
| 202 | rows_cost_centers = cursor_system.fetchall() |
|
| 203 | ||
| 204 | cost_center_dict = dict() |
|
| 205 | if rows_cost_centers is not None and len(rows_cost_centers) > 0: |
|
| 206 | for row in rows_cost_centers: |
|
| 207 | cost_center_dict[row[0]] = {"id": row[0], |
|
| 208 | "name": row[1], |
|
| 209 | "uuid": row[2]} |
|
| 210 | ||
| 211 | # query all energy categories in system |
|
| 212 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 213 | " FROM tbl_energy_categories " |
|
| 214 | " ORDER BY id ", ) |
|
| 215 | rows_energy_categories = cursor_system.fetchall() |
|
| 216 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 217 | if cursor_system: |
|
| 218 | cursor_system.close() |
|
| 219 | if cnx_system: |
|
| 220 | cnx_system.close() |
|
| 221 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 222 | title='API.NOT_FOUND', |
|
| 223 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 224 | energy_category_dict = dict() |
|
| 225 | for row_energy_category in rows_energy_categories: |
|
| 226 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 227 | "unit_of_measure": row_energy_category[2], |
|
| 228 | "kgce": row_energy_category[3], |
|
| 229 | "kgco2e": row_energy_category[4]} |
|
| 230 | ||
| 231 | if microgrid_id is not None: |
|
| 232 | query = (" SELECT id, name, uuid, " |
|
| 233 | " address, postal_code, latitude, longitude, rated_capacity, rated_power, " |
|
| 234 | " contact_id, cost_center_id " |
|
| 235 | " FROM tbl_microgrids " |
|
| 236 | " WHERE id = %s ") |
|
| 237 | cursor_system.execute(query, (microgrid_id,)) |
|
| 238 | row = cursor_system.fetchone() |
|
| 239 | elif microgrid_uuid is not None: |
|
| 240 | query = (" SELECT id, name, uuid, " |
|
| 241 | " address, postal_code, latitude, longitude, rated_capacity, rated_power, " |
|
| 242 | " contact_id, cost_center_id " |
|
| 243 | " FROM tbl_microgrids " |
|
| 244 | " WHERE uuid = %s ") |
|
| 245 | cursor_system.execute(query, (microgrid_uuid,)) |
|
| 246 | row = cursor_system.fetchone() |
|
| 247 | ||
| 248 | if row is None: |
|
| 249 | cursor_system.close() |
|
| 250 | cnx_system.close() |
|
| 251 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
|
| 252 | description='API.MICROGRID_NOT_FOUND') |
|
| 253 | else: |
|
| 254 | microgrid_id = row[0] |
|
| 255 | meta_result = {"id": row[0], |
|
| 256 | "name": row[1], |
|
| 257 | "uuid": row[2], |
|
| 258 | "address": row[3], |
|
| 259 | "postal_code": row[4], |
|
| 260 | "latitude": row[5], |
|
| 261 | "longitude": row[6], |
|
| 262 | "rated_capacity": row[7], |
|
| 263 | "rated_power": row[8], |
|
| 264 | "contact": contact_dict.get(row[9], None), |
|
| 265 | "cost_center": cost_center_dict.get(row[10], None), |
|
| 266 | "qrcode": 'microgrid:' + row[2]} |
|
| 267 | ||
| 268 | point_list = list() |
|
| 269 | meter_list = list() |
|
| 270 | ||
| 271 | ################################################################################################################ |
|
| 272 | # Step 4: query associated batteries data |
|
| 273 | ################################################################################################################ |
|
| 274 | cursor_system.execute(" SELECT p.id, mb.name, p.units, p.object_type " |
|
| 275 | " FROM tbl_microgrids_batteries mb, tbl_points p " |
|
| 276 | " WHERE mb.microgrid_id = %s AND mb.soc_point_id = p.id ", |
|
| 277 | (microgrid_id,)) |
|
| 278 | row_point = cursor_system.fetchone() |
|
| 279 | if row_point is not None: |
|
| 280 | point_list.append({"id": row_point[0], |
|
| 281 | "name": row_point[1] + '.SOC', |
|
| 282 | "units": row_point[2], |
|
| 283 | "object_type": row_point[3]}) |
|
| 284 | ||
| 285 | cursor_system.execute(" SELECT p.id, mb.name, p.units, p.object_type " |
|
| 286 | " FROM tbl_microgrids_batteries mb, tbl_points p " |
|
| 287 | " WHERE mb.microgrid_id = %s AND mb.power_point_id = p.id ", |
|
| 288 | (microgrid_id,)) |
|
| 289 | row_point = cursor_system.fetchone() |
|
| 290 | if row_point is not None: |
|
| 291 | point_list.append({"id": row_point[0], |
|
| 292 | "name": row_point[1]+'.P', |
|
| 293 | "units": row_point[2], |
|
| 294 | "object_type": row_point[3]}) |
|
| 295 | ||
| 296 | cursor_system.execute(" SELECT m.id, mb.name, m.energy_category_id " |
|
| 297 | " FROM tbl_microgrids_batteries mb, tbl_meters m " |
|
| 298 | " WHERE mb.microgrid_id = %s AND mb.charge_meter_id = m.id ", |
|
| 299 | (microgrid_id,)) |
|
| 300 | row_meter = cursor_system.fetchone() |
|
| 301 | if row_meter is not None: |
|
| 302 | meter_list.append({"id": row_meter[0], |
|
| 303 | "name": row_meter[1] + '-Charge', |
|
| 304 | "energy_category_id": row_meter[2]}) |
|
| 305 | ||
| 306 | cursor_system.execute(" SELECT m.id, mb.name, m.energy_category_id " |
|
| 307 | " FROM tbl_microgrids_batteries mb, tbl_meters m " |
|
| 308 | " WHERE mb.microgrid_id = %s AND mb.discharge_meter_id = m.id ", |
|
| 309 | (microgrid_id,)) |
|
| 310 | row_meter = cursor_system.fetchone() |
|
| 311 | if row_meter is not None: |
|
| 312 | meter_list.append({"id": row_meter[0], |
|
| 313 | "name": row_meter[1] + '-Discharge', |
|
| 314 | "energy_category_id": row_meter[2]}) |
|
| 315 | ||
| 316 | ################################################################################################################ |
|
| 317 | # Step 4: query associated ev chargers |
|
| 318 | ################################################################################################################ |
|
| 319 | ||
| 320 | ################################################################################################################ |
|
| 321 | # Step 5: query associated generators |
|
| 322 | ################################################################################################################ |
|
| 323 | ||
| 324 | ################################################################################################################ |
|
| 325 | # Step 6: query associated grids |
|
| 326 | ################################################################################################################ |
|
| 327 | cursor_system.execute(" SELECT p.id, mg.name, p.units, p.object_type " |
|
| 328 | " FROM tbl_microgrids_grids mg, tbl_points p " |
|
| 329 | " WHERE mg.microgrid_id = %s AND mg.power_point_id = p.id ", |
|
| 330 | (microgrid_id,)) |
|
| 331 | row_point = cursor_system.fetchone() |
|
| 332 | if row_point is not None: |
|
| 333 | point_list.append({"id": row_point[0], |
|
| 334 | "name": row_point[1]+'.P', |
|
| 335 | "units": row_point[2], |
|
| 336 | "object_type": row_point[3]}) |
|
| 337 | ||
| 338 | cursor_system.execute(" SELECT m.id, mg.name, m.energy_category_id " |
|
| 339 | " FROM tbl_microgrids_grids mg, tbl_meters m " |
|
| 340 | " WHERE mg.microgrid_id = %s AND mg.buy_meter_id = m.id ", |
|
| 341 | (microgrid_id,)) |
|
| 342 | row_meter = cursor_system.fetchone() |
|
| 343 | if row_meter is not None: |
|
| 344 | meter_list.append({"id": row_meter[0], |
|
| 345 | "name": row_meter[1] + '-Buy', |
|
| 346 | "energy_category_id": row_meter[2]}) |
|
| 347 | ||
| 348 | cursor_system.execute(" SELECT m.id, mg.name, m.energy_category_id " |
|
| 349 | " FROM tbl_microgrids_grids mg, tbl_meters m " |
|
| 350 | " WHERE mg.microgrid_id = %s AND mg.sell_meter_id = m.id ", |
|
| 351 | (microgrid_id,)) |
|
| 352 | row_meter = cursor_system.fetchone() |
|
| 353 | if row_meter is not None: |
|
| 354 | meter_list.append({"id": row_meter[0], |
|
| 355 | "name": row_meter[1] + '-Sell', |
|
| 356 | "energy_category_id": row_meter[2]}) |
|
| 357 | ||
| 358 | ################################################################################################################ |
|
| 359 | # Step 7: query associated heat pumps |
|
| 360 | ################################################################################################################ |
|
| 361 | ||
| 362 | ################################################################################################################ |
|
| 363 | # Step 8: query associated loads |
|
| 364 | ################################################################################################################ |
|
| 365 | cursor_system.execute(" SELECT p.id, ml.name, p.units, p.object_type " |
|
| 366 | " FROM tbl_microgrids_loads ml, tbl_points p " |
|
| 367 | " WHERE ml.microgrid_id = %s AND ml.power_point_id = p.id ", |
|
| 368 | (microgrid_id,)) |
|
| 369 | row_point = cursor_system.fetchone() |
|
| 370 | if row_point is not None: |
|
| 371 | point_list.append({"id": row_point[0], |
|
| 372 | "name": row_point[1]+'.P', |
|
| 373 | "units": row_point[2], |
|
| 374 | "object_type": row_point[3]}) |
|
| 375 | ||
| 376 | cursor_system.execute(" SELECT m.id, ml.name, m.energy_category_id " |
|
| 377 | " FROM tbl_microgrids_loads ml, tbl_meters m " |
|
| 378 | " WHERE ml.microgrid_id = %s AND ml.meter_id = m.id ", |
|
| 379 | (microgrid_id,)) |
|
| 380 | row_meter = cursor_system.fetchone() |
|
| 381 | if row_meter is not None: |
|
| 382 | meter_list.append({"id": row_meter[0], |
|
| 383 | "name": row_meter[1], |
|
| 384 | "energy_category_id": row_meter[2]}) |
|
| 385 | ||
| 386 | ################################################################################################################ |
|
| 387 | # Step 9: query associated photovoltaics |
|
| 388 | ################################################################################################################ |
|
| 389 | # todo |
|
| 390 | ||
| 391 | ################################################################################################################ |
|
| 392 | # Step 10: query associated power conversion systems |
|
| 393 | ################################################################################################################ |
|
| 394 | # todo |
|
| 395 | ||
| 396 | ################################################################################################################ |
|
| 397 | # Step 11: query associated sensors |
|
| 398 | ################################################################################################################ |
|
| 399 | # todo |
|
| 400 | ||
| 401 | ################################################################################################################ |
|
| 402 | # Step 12: query associated meters data |
|
| 403 | ################################################################################################################ |
|
| 404 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 405 | if config.utc_offset[0] == '-': |
|
| 406 | timezone_offset = -timezone_offset |
|
| 407 | ||
| 408 | meter_base_list = list() |
|
| 409 | ||
| 410 | for meter in meter_list: |
|
| 411 | cursor_carbon.execute(" SELECT start_datetime_utc, actual_value " |
|
| 412 | " FROM tbl_meter_hourly " |
|
| 413 | " WHERE meter_id = %s " |
|
| 414 | " AND start_datetime_utc >= %s " |
|
| 415 | " AND start_datetime_utc < %s " |
|
| 416 | " ORDER BY start_datetime_utc ", |
|
| 417 | (meter['id'], |
|
| 418 | base_start_datetime_utc, |
|
| 419 | base_end_datetime_utc)) |
|
| 420 | rows_meter_hourly = cursor_carbon.fetchall() |
|
| 421 | ||
| 422 | if rows_meter_hourly is not None and len(rows_meter_hourly) > 0: |
|
| 423 | print('rows_meter_hourly:' + str(rows_meter_hourly)) |
|
| 424 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
|
| 425 | base_start_datetime_utc, |
|
| 426 | base_end_datetime_utc, |
|
| 427 | period_type) |
|
| 428 | print('rows_meter_periodically:' + str(rows_meter_periodically)) |
|
| 429 | meter_report = dict() |
|
| 430 | meter_report['timestamps'] = list() |
|
| 431 | meter_report['values'] = list() |
|
| 432 | meter_report['subtotal'] = Decimal(0.0) |
|
| 433 | ||
| 434 | for row_meter_periodically in rows_meter_periodically: |
|
| 435 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 436 | timedelta(minutes=timezone_offset) |
|
| 437 | if period_type == 'hourly': |
|
| 438 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 439 | elif period_type == 'daily': |
|
| 440 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 441 | elif period_type == 'weekly': |
|
| 442 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 443 | elif period_type == 'monthly': |
|
| 444 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 445 | elif period_type == 'yearly': |
|
| 446 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 447 | ||
| 448 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
|
| 449 | ||
| 450 | meter_report['timestamps'].append(current_datetime) |
|
| 451 | meter_report['values'].append(actual_value) |
|
| 452 | meter_report['subtotal'] += actual_value |
|
| 453 | meter_report['name'] = meter['name'] |
|
| 454 | meter_report['unit_of_measure'] = \ |
|
| 455 | energy_category_dict[meter['energy_category_id']]['unit_of_measure'] |
|
| 456 | ||
| 457 | meter_base_list.append(meter_report) |
|
| 458 | ||
| 459 | meter_reporting_list = list() |
|
| 460 | ||
| 461 | for meter in meter_list: |
|
| 462 | cursor_carbon.execute(" SELECT start_datetime_utc, actual_value " |
|
| 463 | " FROM tbl_meter_hourly " |
|
| 464 | " WHERE meter_id = %s " |
|
| 465 | " AND start_datetime_utc >= %s " |
|
| 466 | " AND start_datetime_utc < %s " |
|
| 467 | " ORDER BY start_datetime_utc ", |
|
| 468 | (meter['id'], |
|
| 469 | reporting_start_datetime_utc, |
|
| 470 | reporting_end_datetime_utc)) |
|
| 471 | rows_meter_hourly = cursor_carbon.fetchall() |
|
| 472 | if rows_meter_hourly is not None and len(rows_meter_hourly) > 0: |
|
| 473 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
|
| 474 | reporting_start_datetime_utc, |
|
| 475 | reporting_end_datetime_utc, |
|
| 476 | period_type) |
|
| 477 | meter_report = dict() |
|
| 478 | meter_report['timestamps'] = list() |
|
| 479 | meter_report['values'] = list() |
|
| 480 | meter_report['subtotal'] = Decimal(0.0) |
|
| 481 | ||
| 482 | for row_meter_periodically in rows_meter_periodically: |
|
| 483 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 484 | timedelta(minutes=timezone_offset) |
|
| 485 | if period_type == 'hourly': |
|
| 486 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 487 | elif period_type == 'daily': |
|
| 488 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 489 | elif period_type == 'weekly': |
|
| 490 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 491 | elif period_type == 'monthly': |
|
| 492 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 493 | elif period_type == 'yearly': |
|
| 494 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 495 | ||
| 496 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
|
| 497 | ||
| 498 | meter_report['timestamps'].append(current_datetime) |
|
| 499 | meter_report['values'].append(actual_value) |
|
| 500 | meter_report['subtotal'] += actual_value |
|
| 501 | meter_report['name'] = meter['name'] |
|
| 502 | meter_report['unit_of_measure'] = \ |
|
| 503 | energy_category_dict[meter['energy_category_id']]['unit_of_measure'] |
|
| 504 | ||
| 505 | meter_reporting_list.append(meter_report) |
|
| 506 | ||
| 507 | ################################################################################################################ |
|
| 508 | # Step 13: query associated points data |
|
| 509 | ################################################################################################################ |
|
| 510 | ||
| 511 | parameters_data = dict() |
|
| 512 | parameters_data['names'] = list() |
|
| 513 | parameters_data['timestamps'] = list() |
|
| 514 | parameters_data['values'] = list() |
|
| 515 | ||
| 516 | for point in point_list: |
|
| 517 | point_values = [] |
|
| 518 | point_timestamps = [] |
|
| 519 | if point['object_type'] == 'ENERGY_VALUE': |
|
| 520 | query = (" SELECT utc_date_time, actual_value " |
|
| 521 | " FROM tbl_energy_value " |
|
| 522 | " WHERE point_id = %s " |
|
| 523 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 524 | " ORDER BY utc_date_time ") |
|
| 525 | cursor_historical.execute(query, (point['id'], |
|
| 526 | reporting_start_datetime_utc, |
|
| 527 | reporting_end_datetime_utc)) |
|
| 528 | rows = cursor_historical.fetchall() |
|
| 529 | ||
| 530 | if rows is not None and len(rows) > 0: |
|
| 531 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
|
| 532 | timedelta(minutes=timezone_offset) |
|
| 533 | current_datetime_local = reporting_start_datetime_local |
|
| 534 | ||
| 535 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
|
| 536 | timedelta(minutes=timezone_offset): |
|
| 537 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 538 | point_values.append(rows[0][1]) |
|
| 539 | current_datetime_local += timedelta(minutes=1) |
|
| 540 | ||
| 541 | for index in range(len(rows) - 1): |
|
| 542 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
|
| 543 | timedelta(minutes=timezone_offset): |
|
| 544 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 545 | point_values.append(rows[index][1]) |
|
| 546 | current_datetime_local += timedelta(minutes=1) |
|
| 547 | elif point['object_type'] == 'ANALOG_VALUE': |
|
| 548 | query = (" SELECT utc_date_time, actual_value " |
|
| 549 | " FROM tbl_analog_value " |
|
| 550 | " WHERE point_id = %s " |
|
| 551 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 552 | " ORDER BY utc_date_time ") |
|
| 553 | cursor_historical.execute(query, (point['id'], |
|
| 554 | reporting_start_datetime_utc, |
|
| 555 | reporting_end_datetime_utc)) |
|
| 556 | rows = cursor_historical.fetchall() |
|
| 557 | ||
| 558 | if rows is not None and len(rows) > 0: |
|
| 559 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
|
| 560 | timedelta(minutes=timezone_offset) |
|
| 561 | current_datetime_local = reporting_start_datetime_local |
|
| 562 | ||
| 563 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
|
| 564 | timedelta(minutes=timezone_offset): |
|
| 565 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 566 | point_values.append(rows[0][1]) |
|
| 567 | current_datetime_local += timedelta(minutes=1) |
|
| 568 | ||
| 569 | for index in range(len(rows) - 1): |
|
| 570 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
|
| 571 | timedelta(minutes=timezone_offset): |
|
| 572 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 573 | point_values.append(rows[index][1]) |
|
| 574 | current_datetime_local += timedelta(minutes=1) |
|
| 575 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
| 576 | query = (" SELECT utc_date_time, actual_value " |
|
| 577 | " FROM tbl_digital_value " |
|
| 578 | " WHERE point_id = %s " |
|
| 579 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 580 | " ORDER BY utc_date_time ") |
|
| 581 | cursor_historical.execute(query, (point['id'], |
|
| 582 | reporting_start_datetime_utc, |
|
| 583 | reporting_end_datetime_utc)) |
|
| 584 | rows = cursor_historical.fetchall() |
|
| 585 | ||
| 586 | if rows is not None and len(rows) > 0: |
|
| 587 | reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \ |
|
| 588 | timedelta(minutes=timezone_offset) |
|
| 589 | current_datetime_local = reporting_start_datetime_local |
|
| 590 | ||
| 591 | while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \ |
|
| 592 | timedelta(minutes=timezone_offset): |
|
| 593 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 594 | point_values.append(rows[0][1]) |
|
| 595 | current_datetime_local += timedelta(minutes=1) |
|
| 596 | ||
| 597 | for index in range(len(rows) - 1): |
|
| 598 | while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \ |
|
| 599 | timedelta(minutes=timezone_offset): |
|
| 600 | point_timestamps.append(current_datetime_local.isoformat()[5:16]) |
|
| 601 | point_values.append(rows[index][1]) |
|
| 602 | current_datetime_local += timedelta(minutes=1) |
|
| 603 | ||
| 604 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
| 605 | parameters_data['timestamps'].append(point_timestamps) |
|
| 606 | parameters_data['values'].append(point_values) |
|
| 607 | ||
| 608 | if cursor_system: |
|
| 609 | cursor_system.close() |
|
| 610 | if cnx_system: |
|
| 611 | cnx_system.close() |
|
| 612 | ||
| 613 | if cursor_carbon: |
|
| 614 | cursor_carbon.close() |
|
| 615 | if cnx_carbon: |
|
| 616 | cnx_carbon.close() |
|
| 617 | ||
| 618 | if cursor_historical: |
|
| 619 | cursor_historical.close() |
|
| 620 | if cnx_historical: |
|
| 621 | cnx_historical.close() |
|
| 622 | ################################################################################################################ |
|
| 623 | # Step 14: construct the report |
|
| 624 | ################################################################################################################ |
|
| 625 | result = dict() |
|
| 626 | result['microgrid'] = meta_result |
|
| 627 | result['parameters'] = { |
|
| 628 | "names": parameters_data['names'], |
|
| 629 | "timestamps": parameters_data['timestamps'], |
|
| 630 | "values": parameters_data['values'] |
|
| 631 | } |
|
| 632 | result['base_period'] = dict() |
|
| 633 | result['base_period']['names'] = list() |
|
| 634 | result['base_period']['units'] = list() |
|
| 635 | result['base_period']['timestamps'] = list() |
|
| 636 | result['base_period']['values'] = list() |
|
| 637 | result['base_period']['subtotals'] = list() |
|
| 638 | ||
| 639 | if meter_base_list is not None and len(meter_base_list) > 0: |
|
| 640 | for meter_report in meter_base_list: |
|
| 641 | result['base_period']['names'].append(meter_report['name']) |
|
| 642 | result['base_period']['units'].append(meter_report['unit_of_measure']) |
|
| 643 | result['base_period']['timestamps'].append(meter_report['timestamps']) |
|
| 644 | result['base_period']['values'].append(meter_report['values']) |
|
| 645 | result['base_period']['subtotals'].append(meter_report['subtotal']) |
|
| 646 | ||
| 647 | result['reporting_period'] = dict() |
|
| 648 | result['reporting_period']['names'] = list() |
|
| 649 | result['reporting_period']['units'] = list() |
|
| 650 | result['reporting_period']['subtotals'] = list() |
|
| 651 | result['reporting_period']['increment_rates'] = list() |
|
| 652 | result['reporting_period']['timestamps'] = list() |
|
| 653 | result['reporting_period']['values'] = list() |
|
| 654 | ||
| 655 | if meter_reporting_list is not None and len(meter_reporting_list) > 0: |
|
| 656 | for meter_report in meter_reporting_list: |
|
| 657 | result['reporting_period']['names'].append(meter_report['name']) |
|
| 658 | result['reporting_period']['units'].append(meter_report['unit_of_measure']) |
|
| 659 | result['reporting_period']['timestamps'].append(meter_report['timestamps']) |
|
| 660 | result['reporting_period']['values'].append(meter_report['values']) |
|
| 661 | result['reporting_period']['subtotals'].append(meter_report['subtotal']) |
|
| 662 | ||
| 663 | # export result to Excel file and then encode the file to base64 string |
|
| 664 | if not is_quick_mode: |
|
| 665 | result['excel_bytes_base64'] = \ |
|
| 666 | excelexporters.microgridreportingcarbon.\ |
|
| 667 | export(result, |
|
| 668 | result['microgrid']['name'], |
|
| 669 | reporting_period_start_datetime_local, |
|
| 670 | reporting_period_end_datetime_local, |
|
| 671 | base_period_start_datetime_local, |
|
| 672 | base_period_end_datetime_local, |
|
| 673 | period_type, |
|
| 674 | language) |
|
| 675 | resp.text = json.dumps(result) |
|
| 676 | ||
