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import re |
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from datetime import datetime, timedelta, timezone |
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from decimal import Decimal |
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import falcon |
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import mysql.connector |
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import simplejson as json |
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import config |
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import excelexporters.equipmentcomparison |
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from core import utilities |
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from core.useractivity import access_control, api_key_control |
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class Reporting: |
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def __init__(self): |
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""" "Initializes Reporting""" |
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pass |
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@staticmethod |
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def on_options(req, resp): |
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_ = req |
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resp.status = falcon.HTTP_200 |
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#################################################################################################################### |
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# PROCEDURES |
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# Step 1: valid parameters |
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# Step 2: query the equipment and energy category |
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# Step 3: query equipment input category hourly data (pre-aggregated by background service) |
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# Step 4: aggregate equipment energy consumption data by period |
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# Step 5: query equipment associated points data |
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# Step 6: construct the report |
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#################################################################################################################### |
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@staticmethod |
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def on_get(req, resp): |
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if ( |
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"API-KEY" not in req.headers |
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or not isinstance(req.headers["API-KEY"], str) |
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or len(str.strip(req.headers["API-KEY"])) == 0 |
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): |
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access_control(req) |
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else: |
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api_key_control(req) |
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print(req.params) |
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# this procedure accepts equipment id or equipment uuid to identify a equipment |
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equipment_id1 = req.params.get("equipmentid1") |
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equipment_uuid1 = req.params.get("equipmentuuid1") |
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equipment_id2 = req.params.get("equipmentid2") |
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equipment_uuid2 = req.params.get("equipmentuuid2") |
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energy_category_id = req.params.get("energycategoryid") |
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period_type = req.params.get("periodtype") |
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reporting_period_start_datetime_local = req.params.get( |
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"reportingperiodstartdatetime" |
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) |
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reporting_period_end_datetime_local = req.params.get( |
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"reportingperiodenddatetime" |
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) |
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language = req.params.get("language") |
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quick_mode = req.params.get("quickmode") |
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################################################################################################################ |
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# Step 1: valid parameters |
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################################################################################################################ |
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if equipment_id1 is None and equipment_uuid1 is None: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_EQUIPMENT_ID", |
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) |
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if equipment_id1 is not None: |
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equipment_id1 = str.strip(equipment_id1) |
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if not equipment_id1.isdigit() or int(equipment_id1) <= 0: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_EQUIPMENT_ID", |
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) |
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if equipment_uuid1 is not None: |
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regex = re.compile( |
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r"^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z", |
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re.I, |
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) |
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match = regex.match(str.strip(equipment_uuid1)) |
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if not bool(match): |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_EQUIPMENT_UUID", |
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) |
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if equipment_id2 is None and equipment_uuid2 is None: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_EQUIPMENT_ID", |
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) |
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if equipment_id2 is not None: |
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equipment_id2 = str.strip(equipment_id2) |
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if not equipment_id2.isdigit() or int(equipment_id2) <= 0: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_EQUIPMENT_ID", |
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) |
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if equipment_uuid2 is not None: |
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regex = re.compile( |
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r"^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z", |
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re.I, |
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) |
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match = regex.match(str.strip(equipment_uuid2)) |
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if not bool(match): |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_EQUIPMENT_UUID", |
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) |
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if energy_category_id is None: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_ENERGY_CATEGORY_ID", |
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) |
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else: |
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energy_category_id = str.strip(energy_category_id) |
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if not energy_category_id.isdigit() or int(energy_category_id) <= 0: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_ENERGY_CATEGORY_ID", |
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) |
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if period_type is None: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_PERIOD_TYPE", |
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) |
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else: |
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period_type = str.strip(period_type) |
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if period_type not in ["hourly", "daily", "weekly", "monthly", "yearly"]: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_PERIOD_TYPE", |
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) |
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timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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if config.utc_offset[0] == "-": |
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timezone_offset = -timezone_offset |
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if reporting_period_start_datetime_local is None: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_REPORTING_PERIOD_START_DATETIME", |
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) |
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else: |
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reporting_period_start_datetime_local = str.strip( |
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reporting_period_start_datetime_local |
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) |
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try: |
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reporting_start_datetime_utc = datetime.strptime( |
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reporting_period_start_datetime_local, "%Y-%m-%dT%H:%M:%S" |
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) |
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except ValueError: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_REPORTING_PERIOD_START_DATETIME", |
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) |
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reporting_start_datetime_utc = reporting_start_datetime_utc.replace( |
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tzinfo=timezone.utc |
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) - timedelta(minutes=timezone_offset) |
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# nomalize the start datetime |
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if ( |
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config.minutes_to_count == 30 |
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and reporting_start_datetime_utc.minute >= 30 |
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): |
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reporting_start_datetime_utc = reporting_start_datetime_utc.replace( |
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minute=30, second=0, microsecond=0 |
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) |
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else: |
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reporting_start_datetime_utc = reporting_start_datetime_utc.replace( |
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minute=0, second=0, microsecond=0 |
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) |
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if reporting_period_end_datetime_local is None: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_REPORTING_PERIOD_END_DATETIME", |
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) |
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else: |
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reporting_period_end_datetime_local = str.strip( |
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reporting_period_end_datetime_local |
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) |
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try: |
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reporting_end_datetime_utc = datetime.strptime( |
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reporting_period_end_datetime_local, "%Y-%m-%dT%H:%M:%S" |
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) |
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except ValueError: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_REPORTING_PERIOD_END_DATETIME", |
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) |
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reporting_end_datetime_utc = reporting_end_datetime_utc.replace( |
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tzinfo=timezone.utc |
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) - timedelta(minutes=timezone_offset) |
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if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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raise falcon.HTTPError( |
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status=falcon.HTTP_400, |
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title="API.BAD_REQUEST", |
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description="API.INVALID_REPORTING_PERIOD_END_DATETIME", |
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) |
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221
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# if turn quick mode on, do not return parameters data and excel file |
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is_quick_mode = False |
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if ( |
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quick_mode is not None |
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and len(str.strip(quick_mode)) > 0 |
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and str.lower(str.strip(quick_mode)) in ("true", "t", "on", "yes", "y") |
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): |
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is_quick_mode = True |
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################################################################################################################ |
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# Step 2: query the equipment and energy category |
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################################################################################################################ |
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cnx_system = mysql.connector.connect(**config.myems_system_db) |
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cursor_system = cnx_system.cursor() |
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235
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236
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cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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cursor_energy = cnx_energy.cursor() |
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238
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239
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cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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cursor_historical = cnx_historical.cursor() |
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241
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242
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# Query equipment 1 |
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if equipment_id1 is not None: |
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cursor_system.execute( |
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" SELECT id, name FROM tbl_equipments WHERE id = %s ", (equipment_id1,) |
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246
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) |
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247
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row_equipment1 = cursor_system.fetchone() |
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248
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elif equipment_uuid1 is not None: |
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249
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cursor_system.execute( |
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250
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" SELECT id, name FROM tbl_equipments WHERE uuid = %s ", |
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(equipment_uuid1,), |
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252
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) |
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253
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row_equipment1 = cursor_system.fetchone() |
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254
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255
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if row_equipment1 is None: |
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256
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if cursor_system: |
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257
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cursor_system.close() |
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258
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if cnx_system: |
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cnx_system.close() |
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260
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261
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if cursor_energy: |
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262
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cursor_energy.close() |
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263
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if cnx_energy: |
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264
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cnx_energy.close() |
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265
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266
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if cursor_historical: |
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267
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cursor_historical.close() |
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268
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if cnx_historical: |
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269
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cnx_historical.close() |
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270
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raise falcon.HTTPError( |
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271
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status=falcon.HTTP_404, |
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272
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title="API.NOT_FOUND", |
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273
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description="API.EQUIPMENT_NOT_FOUND", |
|
274
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) |
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275
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276
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equipment1 = dict() |
|
277
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equipment1["id"] = row_equipment1[0] |
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278
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equipment1["name"] = row_equipment1[1] |
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279
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280
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# Query equipment 2 |
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281
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if equipment_id2 is not None: |
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282
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cursor_system.execute( |
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283
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" SELECT id, name FROM tbl_equipments WHERE id = %s ", (equipment_id2,) |
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284
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) |
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285
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row_equipment2 = cursor_system.fetchone() |
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286
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elif equipment_uuid2 is not None: |
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287
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cursor_system.execute( |
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288
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" SELECT id, name FROM tbl_equipments WHERE uuid = %s ", |
|
289
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(equipment_uuid2,), |
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290
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) |
|
291
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row_equipment2 = cursor_system.fetchone() |
|
292
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293
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if row_equipment2 is None: |
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294
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if cursor_system: |
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295
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cursor_system.close() |
|
296
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if cnx_system: |
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297
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cnx_system.close() |
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298
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299
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if cursor_energy: |
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300
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cursor_energy.close() |
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301
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if cnx_energy: |
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302
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cnx_energy.close() |
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303
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304
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if cursor_historical: |
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305
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cursor_historical.close() |
|
306
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if cnx_historical: |
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307
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cnx_historical.close() |
|
308
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|
|
raise falcon.HTTPError( |
|
309
|
|
|
status=falcon.HTTP_404, |
|
310
|
|
|
title="API.NOT_FOUND", |
|
311
|
|
|
description="API.EQUIPMENT_NOT_FOUND", |
|
312
|
|
|
) |
|
313
|
|
|
|
|
314
|
|
|
equipment2 = dict() |
|
315
|
|
|
equipment2["id"] = row_equipment2[0] |
|
316
|
|
|
equipment2["name"] = row_equipment2[1] |
|
317
|
|
|
|
|
318
|
|
|
# Query energy category |
|
319
|
|
|
cursor_system.execute( |
|
320
|
|
|
" SELECT id, name, unit_of_measure FROM tbl_energy_categories WHERE id = %s ", |
|
321
|
|
|
(energy_category_id,), |
|
322
|
|
|
) |
|
323
|
|
|
row_energy_category = cursor_system.fetchone() |
|
324
|
|
|
|
|
325
|
|
|
if row_energy_category is None: |
|
326
|
|
|
if cursor_system: |
|
327
|
|
|
cursor_system.close() |
|
328
|
|
|
if cnx_system: |
|
329
|
|
|
cnx_system.close() |
|
330
|
|
|
|
|
331
|
|
|
if cursor_energy: |
|
332
|
|
|
cursor_energy.close() |
|
333
|
|
|
if cnx_energy: |
|
334
|
|
|
cnx_energy.close() |
|
335
|
|
|
|
|
336
|
|
|
if cursor_historical: |
|
337
|
|
|
cursor_historical.close() |
|
338
|
|
|
if cnx_historical: |
|
339
|
|
|
cnx_historical.close() |
|
340
|
|
|
raise falcon.HTTPError( |
|
341
|
|
|
status=falcon.HTTP_404, |
|
342
|
|
|
title="API.NOT_FOUND", |
|
343
|
|
|
description="API.ENERGY_CATEGORY_NOT_FOUND", |
|
344
|
|
|
) |
|
345
|
|
|
|
|
346
|
|
|
energy_category = dict() |
|
347
|
|
|
energy_category["id"] = row_energy_category[0] |
|
348
|
|
|
energy_category["name"] = row_energy_category[1] |
|
349
|
|
|
energy_category["unit_of_measure"] = row_energy_category[2] |
|
350
|
|
|
|
|
351
|
|
|
################################################################################################################ |
|
352
|
|
|
# Step 3: query equipment input category hourly data (pre-aggregated by background service) |
|
353
|
|
|
################################################################################################################ |
|
354
|
|
|
# Query equipment 1 input category hourly data |
|
355
|
|
|
cursor_energy.execute( |
|
356
|
|
|
" SELECT start_datetime_utc, actual_value " |
|
357
|
|
|
" FROM tbl_equipment_input_category_hourly " |
|
358
|
|
|
" WHERE equipment_id = %s " |
|
359
|
|
|
" AND energy_category_id = %s " |
|
360
|
|
|
" AND start_datetime_utc >= %s " |
|
361
|
|
|
" AND start_datetime_utc < %s " |
|
362
|
|
|
" ORDER BY start_datetime_utc ", |
|
363
|
|
|
( |
|
364
|
|
|
equipment1["id"], |
|
365
|
|
|
energy_category_id, |
|
366
|
|
|
reporting_start_datetime_utc, |
|
367
|
|
|
reporting_end_datetime_utc, |
|
368
|
|
|
), |
|
369
|
|
|
) |
|
370
|
|
|
rows_equipment1_hourly = cursor_energy.fetchall() |
|
371
|
|
|
|
|
372
|
|
|
# Query equipment 2 input category hourly data |
|
373
|
|
|
cursor_energy.execute( |
|
374
|
|
|
" SELECT start_datetime_utc, actual_value " |
|
375
|
|
|
" FROM tbl_equipment_input_category_hourly " |
|
376
|
|
|
" WHERE equipment_id = %s " |
|
377
|
|
|
" AND energy_category_id = %s " |
|
378
|
|
|
" AND start_datetime_utc >= %s " |
|
379
|
|
|
" AND start_datetime_utc < %s " |
|
380
|
|
|
" ORDER BY start_datetime_utc ", |
|
381
|
|
|
( |
|
382
|
|
|
equipment2["id"], |
|
383
|
|
|
energy_category_id, |
|
384
|
|
|
reporting_start_datetime_utc, |
|
385
|
|
|
reporting_end_datetime_utc, |
|
386
|
|
|
), |
|
387
|
|
|
) |
|
388
|
|
|
rows_equipment2_hourly = cursor_energy.fetchall() |
|
389
|
|
|
|
|
390
|
|
|
################################################################################################################ |
|
391
|
|
|
# Step 4: aggregate equipment energy consumption data by period |
|
392
|
|
|
################################################################################################################ |
|
393
|
|
|
# Aggregate energy consumption for equipment 1 |
|
394
|
|
|
equipment1_energy_data = dict() |
|
395
|
|
|
equipment1_energy_data["timestamps"] = list() |
|
396
|
|
|
equipment1_energy_data["values"] = list() |
|
397
|
|
|
equipment1_energy_data["total_in_category"] = Decimal(0.0) |
|
398
|
|
|
|
|
399
|
|
|
# Aggregate equipment 1 hourly data by period |
|
400
|
|
|
rows_equipment1_periodically = utilities.aggregate_hourly_data_by_period( |
|
401
|
|
|
rows_equipment1_hourly, |
|
402
|
|
|
reporting_start_datetime_utc, |
|
403
|
|
|
reporting_end_datetime_utc, |
|
404
|
|
|
period_type, |
|
405
|
|
|
) |
|
406
|
|
|
|
|
407
|
|
|
for row_equipment1_periodically in rows_equipment1_periodically: |
|
408
|
|
|
current_datetime_local = row_equipment1_periodically[0].replace( |
|
409
|
|
|
tzinfo=timezone.utc |
|
410
|
|
|
) + timedelta(minutes=timezone_offset) |
|
411
|
|
|
if period_type == "hourly": |
|
412
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
413
|
|
|
elif period_type == "daily": |
|
414
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
415
|
|
|
elif period_type == "weekly": |
|
416
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
417
|
|
|
elif period_type == "monthly": |
|
418
|
|
|
current_datetime = current_datetime_local.isoformat()[0:7] |
|
419
|
|
|
elif period_type == "yearly": |
|
420
|
|
|
current_datetime = current_datetime_local.isoformat()[0:4] |
|
421
|
|
|
|
|
422
|
|
|
actual_value = row_equipment1_periodically[1] |
|
423
|
|
|
|
|
424
|
|
|
equipment1_energy_data["timestamps"].append(current_datetime) |
|
|
|
|
|
|
425
|
|
|
equipment1_energy_data["values"].append(actual_value) |
|
426
|
|
|
if actual_value is not None: |
|
427
|
|
|
equipment1_energy_data["total_in_category"] += actual_value |
|
428
|
|
|
|
|
429
|
|
|
# Aggregate energy consumption for equipment 2 |
|
430
|
|
|
equipment2_energy_data = dict() |
|
431
|
|
|
equipment2_energy_data["timestamps"] = list() |
|
432
|
|
|
equipment2_energy_data["values"] = list() |
|
433
|
|
|
equipment2_energy_data["total_in_category"] = Decimal(0.0) |
|
434
|
|
|
|
|
435
|
|
|
# Aggregate equipment 2 hourly data by period |
|
436
|
|
|
rows_equipment2_periodically = utilities.aggregate_hourly_data_by_period( |
|
437
|
|
|
rows_equipment2_hourly, |
|
438
|
|
|
reporting_start_datetime_utc, |
|
439
|
|
|
reporting_end_datetime_utc, |
|
440
|
|
|
period_type, |
|
441
|
|
|
) |
|
442
|
|
|
|
|
443
|
|
|
for row_equipment2_periodically in rows_equipment2_periodically: |
|
444
|
|
|
current_datetime_local = row_equipment2_periodically[0].replace( |
|
445
|
|
|
tzinfo=timezone.utc |
|
446
|
|
|
) + timedelta(minutes=timezone_offset) |
|
447
|
|
|
if period_type == "hourly": |
|
448
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
449
|
|
|
elif period_type == "daily": |
|
450
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
451
|
|
|
elif period_type == "weekly": |
|
452
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
453
|
|
|
elif period_type == "monthly": |
|
454
|
|
|
current_datetime = current_datetime_local.isoformat()[0:7] |
|
455
|
|
|
elif period_type == "yearly": |
|
456
|
|
|
current_datetime = current_datetime_local.isoformat()[0:4] |
|
457
|
|
|
|
|
458
|
|
|
actual_value = row_equipment2_periodically[1] |
|
459
|
|
|
|
|
460
|
|
|
equipment2_energy_data["timestamps"].append(current_datetime) |
|
461
|
|
|
equipment2_energy_data["values"].append(actual_value) |
|
462
|
|
|
if actual_value is not None: |
|
463
|
|
|
equipment2_energy_data["total_in_category"] += actual_value |
|
464
|
|
|
|
|
465
|
|
|
# Calculate difference |
|
466
|
|
|
diff = dict() |
|
467
|
|
|
diff["values"] = list() |
|
468
|
|
|
diff["total_in_category"] = Decimal(0.0) |
|
469
|
|
|
|
|
470
|
|
|
# Ensure both equipments have the same number of data points |
|
471
|
|
|
min_length = min( |
|
472
|
|
|
len(equipment1_energy_data["values"]), len(equipment2_energy_data["values"]) |
|
473
|
|
|
) |
|
474
|
|
|
for i in range(min_length): |
|
475
|
|
|
equipment1_value = ( |
|
476
|
|
|
equipment1_energy_data["values"][i] |
|
477
|
|
|
if i < len(equipment1_energy_data["values"]) |
|
478
|
|
|
else None |
|
479
|
|
|
) |
|
480
|
|
|
equipment2_value = ( |
|
481
|
|
|
equipment2_energy_data["values"][i] |
|
482
|
|
|
if i < len(equipment2_energy_data["values"]) |
|
483
|
|
|
else None |
|
484
|
|
|
) |
|
485
|
|
|
|
|
486
|
|
|
# Calculate difference, handling None values |
|
487
|
|
|
if equipment1_value is None and equipment2_value is None: |
|
488
|
|
|
diff_value = None |
|
489
|
|
|
elif equipment1_value is None: |
|
490
|
|
|
diff_value = None # Cannot calculate difference when one value is missing |
|
491
|
|
|
elif equipment2_value is None: |
|
492
|
|
|
diff_value = None # Cannot calculate difference when one value is missing |
|
493
|
|
|
else: |
|
494
|
|
|
diff_value = equipment1_value - equipment2_value |
|
495
|
|
|
diff["total_in_category"] += diff_value |
|
496
|
|
|
|
|
497
|
|
|
diff["values"].append(diff_value) |
|
498
|
|
|
|
|
499
|
|
|
################################################################################################################ |
|
500
|
|
|
# Step 5: query equipment associated points data (for detailed parameters) |
|
501
|
|
|
################################################################################################################ |
|
502
|
|
|
parameters_data1 = dict() |
|
503
|
|
|
parameters_data1["names"] = list() |
|
504
|
|
|
parameters_data1["timestamps"] = list() |
|
505
|
|
|
parameters_data1["values"] = list() |
|
506
|
|
|
|
|
507
|
|
|
parameters_data2 = dict() |
|
508
|
|
|
parameters_data2["names"] = list() |
|
509
|
|
|
parameters_data2["timestamps"] = list() |
|
510
|
|
|
parameters_data2["values"] = list() |
|
511
|
|
|
|
|
512
|
|
|
if not is_quick_mode: |
|
513
|
|
|
# Query points for equipment 1 |
|
514
|
|
|
cursor_system.execute( |
|
515
|
|
|
" SELECT p.id, ep.name, p.units, p.object_type " |
|
516
|
|
|
" FROM tbl_equipments e, tbl_equipments_parameters ep, tbl_points p " |
|
517
|
|
|
" WHERE e.id = %s AND e.id = ep.equipment_id AND ep.parameter_type = 'point' " |
|
518
|
|
|
" AND ep.point_id = p.id " |
|
519
|
|
|
" ORDER BY p.id ", |
|
520
|
|
|
(equipment1["id"],), |
|
521
|
|
|
) |
|
522
|
|
|
rows_points1 = cursor_system.fetchall() |
|
523
|
|
|
|
|
524
|
|
View Code Duplication |
if rows_points1 is not None and len(rows_points1) > 0: |
|
|
|
|
|
|
525
|
|
|
for point_row in rows_points1: |
|
526
|
|
|
point_values = [] |
|
527
|
|
|
point_timestamps = [] |
|
528
|
|
|
|
|
529
|
|
|
if point_row[3] == "ENERGY_VALUE": |
|
530
|
|
|
query = ( |
|
531
|
|
|
" SELECT utc_date_time, actual_value " |
|
532
|
|
|
" FROM tbl_energy_value " |
|
533
|
|
|
" WHERE point_id = %s " |
|
534
|
|
|
" AND utc_date_time BETWEEN %s AND %s " |
|
535
|
|
|
" ORDER BY utc_date_time " |
|
536
|
|
|
) |
|
537
|
|
|
cursor_historical.execute( |
|
538
|
|
|
query, |
|
539
|
|
|
( |
|
540
|
|
|
point_row[0], |
|
541
|
|
|
reporting_start_datetime_utc, |
|
542
|
|
|
reporting_end_datetime_utc, |
|
543
|
|
|
), |
|
544
|
|
|
) |
|
545
|
|
|
rows = cursor_historical.fetchall() |
|
546
|
|
|
|
|
547
|
|
|
if rows is not None and len(rows) > 0: |
|
548
|
|
|
for row in rows: |
|
549
|
|
|
current_datetime_local = row[0].replace( |
|
550
|
|
|
tzinfo=timezone.utc |
|
551
|
|
|
) + timedelta(minutes=timezone_offset) |
|
552
|
|
|
current_datetime = current_datetime_local.isoformat()[ |
|
553
|
|
|
0:19 |
|
554
|
|
|
] |
|
555
|
|
|
point_timestamps.append(current_datetime) |
|
556
|
|
|
point_values.append(row[1]) |
|
557
|
|
|
elif point_row[3] == "ANALOG_VALUE": |
|
558
|
|
|
query = ( |
|
559
|
|
|
" SELECT utc_date_time, actual_value " |
|
560
|
|
|
" FROM tbl_analog_value " |
|
561
|
|
|
" WHERE point_id = %s " |
|
562
|
|
|
" AND utc_date_time BETWEEN %s AND %s " |
|
563
|
|
|
" ORDER BY utc_date_time " |
|
564
|
|
|
) |
|
565
|
|
|
cursor_historical.execute( |
|
566
|
|
|
query, |
|
567
|
|
|
( |
|
568
|
|
|
point_row[0], |
|
569
|
|
|
reporting_start_datetime_utc, |
|
570
|
|
|
reporting_end_datetime_utc, |
|
571
|
|
|
), |
|
572
|
|
|
) |
|
573
|
|
|
rows = cursor_historical.fetchall() |
|
574
|
|
|
|
|
575
|
|
|
if rows is not None and len(rows) > 0: |
|
576
|
|
|
for row in rows: |
|
577
|
|
|
current_datetime_local = row[0].replace( |
|
578
|
|
|
tzinfo=timezone.utc |
|
579
|
|
|
) + timedelta(minutes=timezone_offset) |
|
580
|
|
|
current_datetime = current_datetime_local.isoformat()[ |
|
581
|
|
|
0:19 |
|
582
|
|
|
] |
|
583
|
|
|
point_timestamps.append(current_datetime) |
|
584
|
|
|
point_values.append(row[1]) |
|
585
|
|
|
elif point_row[3] == "DIGITAL_VALUE": |
|
586
|
|
|
query = ( |
|
587
|
|
|
" SELECT utc_date_time, actual_value " |
|
588
|
|
|
" FROM tbl_digital_value " |
|
589
|
|
|
" WHERE point_id = %s " |
|
590
|
|
|
" AND utc_date_time BETWEEN %s AND %s " |
|
591
|
|
|
" ORDER BY utc_date_time " |
|
592
|
|
|
) |
|
593
|
|
|
cursor_historical.execute( |
|
594
|
|
|
query, |
|
595
|
|
|
( |
|
596
|
|
|
point_row[0], |
|
597
|
|
|
reporting_start_datetime_utc, |
|
598
|
|
|
reporting_end_datetime_utc, |
|
599
|
|
|
), |
|
600
|
|
|
) |
|
601
|
|
|
rows = cursor_historical.fetchall() |
|
602
|
|
|
|
|
603
|
|
|
if rows is not None and len(rows) > 0: |
|
604
|
|
|
for row in rows: |
|
605
|
|
|
current_datetime_local = row[0].replace( |
|
606
|
|
|
tzinfo=timezone.utc |
|
607
|
|
|
) + timedelta(minutes=timezone_offset) |
|
608
|
|
|
current_datetime = current_datetime_local.isoformat()[ |
|
609
|
|
|
0:19 |
|
610
|
|
|
] |
|
611
|
|
|
point_timestamps.append(current_datetime) |
|
612
|
|
|
point_values.append(row[1]) |
|
613
|
|
|
|
|
614
|
|
|
parameters_data1["names"].append( |
|
615
|
|
|
equipment1["name"] |
|
616
|
|
|
+ " - " |
|
617
|
|
|
+ point_row[1] |
|
618
|
|
|
+ " (" |
|
619
|
|
|
+ point_row[2] |
|
620
|
|
|
+ ")" |
|
621
|
|
|
) |
|
622
|
|
|
parameters_data1["timestamps"].append(point_timestamps) |
|
623
|
|
|
parameters_data1["values"].append(point_values) |
|
624
|
|
|
|
|
625
|
|
|
# Query points for equipment 2 |
|
626
|
|
|
cursor_system.execute( |
|
627
|
|
|
" SELECT p.id, ep.name, p.units, p.object_type " |
|
628
|
|
|
" FROM tbl_equipments e, tbl_equipments_parameters ep, tbl_points p " |
|
629
|
|
|
" WHERE e.id = %s AND e.id = ep.equipment_id AND ep.parameter_type = 'point' " |
|
630
|
|
|
" AND ep.point_id = p.id " |
|
631
|
|
|
" ORDER BY p.id ", |
|
632
|
|
|
(equipment2["id"],), |
|
633
|
|
|
) |
|
634
|
|
|
rows_points2 = cursor_system.fetchall() |
|
635
|
|
|
|
|
636
|
|
View Code Duplication |
if rows_points2 is not None and len(rows_points2) > 0: |
|
|
|
|
|
|
637
|
|
|
for point_row in rows_points2: |
|
638
|
|
|
point_values = [] |
|
639
|
|
|
point_timestamps = [] |
|
640
|
|
|
|
|
641
|
|
|
if point_row[3] == "ENERGY_VALUE": |
|
642
|
|
|
query = ( |
|
643
|
|
|
" SELECT utc_date_time, actual_value " |
|
644
|
|
|
" FROM tbl_energy_value " |
|
645
|
|
|
" WHERE point_id = %s " |
|
646
|
|
|
" AND utc_date_time BETWEEN %s AND %s " |
|
647
|
|
|
" ORDER BY utc_date_time " |
|
648
|
|
|
) |
|
649
|
|
|
cursor_historical.execute( |
|
650
|
|
|
query, |
|
651
|
|
|
( |
|
652
|
|
|
point_row[0], |
|
653
|
|
|
reporting_start_datetime_utc, |
|
654
|
|
|
reporting_end_datetime_utc, |
|
655
|
|
|
), |
|
656
|
|
|
) |
|
657
|
|
|
rows = cursor_historical.fetchall() |
|
658
|
|
|
|
|
659
|
|
|
if rows is not None and len(rows) > 0: |
|
660
|
|
|
for row in rows: |
|
661
|
|
|
current_datetime_local = row[0].replace( |
|
662
|
|
|
tzinfo=timezone.utc |
|
663
|
|
|
) + timedelta(minutes=timezone_offset) |
|
664
|
|
|
current_datetime = current_datetime_local.isoformat()[ |
|
665
|
|
|
0:19 |
|
666
|
|
|
] |
|
667
|
|
|
point_timestamps.append(current_datetime) |
|
668
|
|
|
point_values.append(row[1]) |
|
669
|
|
|
elif point_row[3] == "ANALOG_VALUE": |
|
670
|
|
|
query = ( |
|
671
|
|
|
" SELECT utc_date_time, actual_value " |
|
672
|
|
|
" FROM tbl_analog_value " |
|
673
|
|
|
" WHERE point_id = %s " |
|
674
|
|
|
" AND utc_date_time BETWEEN %s AND %s " |
|
675
|
|
|
" ORDER BY utc_date_time " |
|
676
|
|
|
) |
|
677
|
|
|
cursor_historical.execute( |
|
678
|
|
|
query, |
|
679
|
|
|
( |
|
680
|
|
|
point_row[0], |
|
681
|
|
|
reporting_start_datetime_utc, |
|
682
|
|
|
reporting_end_datetime_utc, |
|
683
|
|
|
), |
|
684
|
|
|
) |
|
685
|
|
|
rows = cursor_historical.fetchall() |
|
686
|
|
|
|
|
687
|
|
|
if rows is not None and len(rows) > 0: |
|
688
|
|
|
for row in rows: |
|
689
|
|
|
current_datetime_local = row[0].replace( |
|
690
|
|
|
tzinfo=timezone.utc |
|
691
|
|
|
) + timedelta(minutes=timezone_offset) |
|
692
|
|
|
current_datetime = current_datetime_local.isoformat()[ |
|
693
|
|
|
0:19 |
|
694
|
|
|
] |
|
695
|
|
|
point_timestamps.append(current_datetime) |
|
696
|
|
|
point_values.append(row[1]) |
|
697
|
|
|
elif point_row[3] == "DIGITAL_VALUE": |
|
698
|
|
|
query = ( |
|
699
|
|
|
" SELECT utc_date_time, actual_value " |
|
700
|
|
|
" FROM tbl_digital_value " |
|
701
|
|
|
" WHERE point_id = %s " |
|
702
|
|
|
" AND utc_date_time BETWEEN %s AND %s " |
|
703
|
|
|
" ORDER BY utc_date_time " |
|
704
|
|
|
) |
|
705
|
|
|
cursor_historical.execute( |
|
706
|
|
|
query, |
|
707
|
|
|
( |
|
708
|
|
|
point_row[0], |
|
709
|
|
|
reporting_start_datetime_utc, |
|
710
|
|
|
reporting_end_datetime_utc, |
|
711
|
|
|
), |
|
712
|
|
|
) |
|
713
|
|
|
rows = cursor_historical.fetchall() |
|
714
|
|
|
|
|
715
|
|
|
if rows is not None and len(rows) > 0: |
|
716
|
|
|
for row in rows: |
|
717
|
|
|
current_datetime_local = row[0].replace( |
|
718
|
|
|
tzinfo=timezone.utc |
|
719
|
|
|
) + timedelta(minutes=timezone_offset) |
|
720
|
|
|
current_datetime = current_datetime_local.isoformat()[ |
|
721
|
|
|
0:19 |
|
722
|
|
|
] |
|
723
|
|
|
point_timestamps.append(current_datetime) |
|
724
|
|
|
point_values.append(row[1]) |
|
725
|
|
|
|
|
726
|
|
|
parameters_data2["names"].append( |
|
727
|
|
|
equipment2["name"] |
|
728
|
|
|
+ " - " |
|
729
|
|
|
+ point_row[1] |
|
730
|
|
|
+ " (" |
|
731
|
|
|
+ point_row[2] |
|
732
|
|
|
+ ")" |
|
733
|
|
|
) |
|
734
|
|
|
parameters_data2["timestamps"].append(point_timestamps) |
|
735
|
|
|
parameters_data2["values"].append(point_values) |
|
736
|
|
|
|
|
737
|
|
|
################################################################################################################ |
|
738
|
|
|
# Step 6: construct the report |
|
739
|
|
|
################################################################################################################ |
|
740
|
|
|
if cursor_system: |
|
741
|
|
|
cursor_system.close() |
|
742
|
|
|
if cnx_system: |
|
743
|
|
|
cnx_system.close() |
|
744
|
|
|
|
|
745
|
|
|
if cursor_energy: |
|
746
|
|
|
cursor_energy.close() |
|
747
|
|
|
if cnx_energy: |
|
748
|
|
|
cnx_energy.close() |
|
749
|
|
|
|
|
750
|
|
|
if cursor_historical: |
|
751
|
|
|
cursor_historical.close() |
|
752
|
|
|
if cnx_historical: |
|
753
|
|
|
cnx_historical.close() |
|
754
|
|
|
|
|
755
|
|
|
result = { |
|
756
|
|
|
"equipment1": { |
|
757
|
|
|
"id": equipment1["id"], |
|
758
|
|
|
"name": equipment1["name"], |
|
759
|
|
|
}, |
|
760
|
|
|
"equipment2": { |
|
761
|
|
|
"id": equipment2["id"], |
|
762
|
|
|
"name": equipment2["name"], |
|
763
|
|
|
}, |
|
764
|
|
|
"energy_category": { |
|
765
|
|
|
"id": energy_category["id"], |
|
766
|
|
|
"name": energy_category["name"], |
|
767
|
|
|
"unit_of_measure": energy_category["unit_of_measure"], |
|
768
|
|
|
}, |
|
769
|
|
|
"reporting_period1": { |
|
770
|
|
|
"total_in_category": equipment1_energy_data["total_in_category"], |
|
771
|
|
|
"timestamps": equipment1_energy_data["timestamps"], |
|
772
|
|
|
"values": equipment1_energy_data["values"], |
|
773
|
|
|
}, |
|
774
|
|
|
"reporting_period2": { |
|
775
|
|
|
"total_in_category": equipment2_energy_data["total_in_category"], |
|
776
|
|
|
"timestamps": equipment2_energy_data["timestamps"], |
|
777
|
|
|
"values": equipment2_energy_data["values"], |
|
778
|
|
|
}, |
|
779
|
|
|
"parameters1": { |
|
780
|
|
|
"names": parameters_data1["names"], |
|
781
|
|
|
"timestamps": parameters_data1["timestamps"], |
|
782
|
|
|
"values": parameters_data1["values"], |
|
783
|
|
|
}, |
|
784
|
|
|
"parameters2": { |
|
785
|
|
|
"names": parameters_data2["names"], |
|
786
|
|
|
"timestamps": parameters_data2["timestamps"], |
|
787
|
|
|
"values": parameters_data2["values"], |
|
788
|
|
|
}, |
|
789
|
|
|
"diff": { |
|
790
|
|
|
"values": diff["values"], |
|
791
|
|
|
"total_in_category": diff["total_in_category"], |
|
792
|
|
|
}, |
|
793
|
|
|
} |
|
794
|
|
|
|
|
795
|
|
|
# export result to Excel file and then encode the file to base64 string |
|
796
|
|
|
if not is_quick_mode: |
|
797
|
|
|
result["excel_bytes_base64"] = excelexporters.equipmentcomparison.export( |
|
798
|
|
|
result, |
|
799
|
|
|
equipment1["name"], |
|
800
|
|
|
equipment2["name"], |
|
801
|
|
|
energy_category["name"], |
|
802
|
|
|
reporting_period_start_datetime_local, |
|
803
|
|
|
reporting_period_end_datetime_local, |
|
804
|
|
|
period_type, |
|
805
|
|
|
language, |
|
806
|
|
|
) |
|
807
|
|
|
|
|
808
|
|
|
resp.text = json.dumps(result) |
|
809
|
|
|
|
MyEMS /
myems
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