167 lines
5.9 KiB
Python
167 lines
5.9 KiB
Python
import csv
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import toml
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import sys
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import requests
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import pytz
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from enum import Enum, auto
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#from strnum import StrEnum
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from typing import List
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from datetime import timedelta, time, datetime
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# ----------------------
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# Classes
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# ----------------------
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#class TagDataType(StrNum):
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# BOOLEAN = auto()
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# INTEGER = auto()
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# FLOAT = auto()
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# STRING = ()
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class HistoricalTag:
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def __init__(self,
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row: int,
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tag_type: str,
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name_source: str,
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name_dest: str,
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scale_factor: float,
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interval: int,
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precision: int):
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self.row = row
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self.tag_type = tag_type
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self.name_source = name_source
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self.name_dest = name_dest
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self.scale_factor = scale_factor
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self.interval = interval
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self.precision = precision
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def __repr__(self):
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return f"({self.row}, {self.tag_type}, {self.name_source}, {self.name_dest}, {self.scale_factor}, {self.interval}, {self.precision})"
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# ----------------------
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# Functions
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# ----------------------
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# format_time_of_day()
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# ------------------
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# day - python datetime
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# timezone - pytz timezone
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# minute_offset - # of minutes to offset the
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# ------------------
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# Converts timestamps like YYYY-MM-DDTHH:MM:ss.000000Z to
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# timestamps in the form of YYYY-MM-DD HH:MM:ss
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def format_time_of_day(day, timezone, minute_offset):
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format = '%Y-%m-%dT%H:%M:%S.%fZ'
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midnight = timezone.localize(datetime.combine(
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day, time()) + timedelta(minutes=minute_offset), is_dst=None)
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midnight = midnight.astimezone(pytz.utc).strftime(
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format).replace(".000000Z", "")
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return "'" + midnight.replace("T", " ") + "'"
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def print_text(text: str):
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print(r'-------------------------------------------------------------------------------------------------------')
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print(text)
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print(r'-------------------------------------------------------------------------------------------------------')
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def map_tags():
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print("-- Mapping Tags --")
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def query_vtscada(historical_tags: List[HistoricalTag], start_time: datetime, end_time: datetime):
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ft_start_time = format_time_of_day(start_time, timezone, 0)
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ft_end_time = format_time_of_day(end_time, timezone, 0)
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for tag in historical_tags:
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query = "SELECT Timestamp, '" + tag.name_source + ":Value:Average' FROM History_" + str(tag.interval) + "s" + \
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" WHERE Timestamp BETWEEN " + ft_start_time + " AND " + ft_end_time
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url = "http://" + server + ":" + realm_port + \
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"/" + realm_name + "/REST/SQLQuery?query=" + query
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print_text(url)
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response = requests.get(url, auth=(application_user, application_pass))
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returned = response.json()
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values = returned['results']['values']
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output_file = tag.name_source.replace('\\','_') + ".csv"
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print(output_file)
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with open(output_file, mode='w', newline='', encoding='utf-8') as csvfile:
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csv_writer = csv.writer(csvfile)
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for value_pair in values:
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if value_pair[1] is not None:
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csv_writer.writerow(value_pair)
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# read_tags()
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# ----------------------
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# Read in the list of tags and set the mapping parameters for each tag and construct the groupings required for the
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# query
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def read_tags(file_path: str) -> List[HistoricalTag]:
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historical_tags = []
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with open(file_path, mode='r', encoding='utf-8-sig') as csvfile:
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csv_reader = csv.reader(csvfile, delimiter=',')
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next(csv_reader) # Skip the header row
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for row, line in enumerate(csv_reader):
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name_source, name_dest, tag_type, scale_factor, interval, precision = line
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tag = HistoricalTag(row=row+1, tag_type=tag_type, name_source=name_source, name_dest=name_dest,
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scale_factor=float(scale_factor), interval=int(interval), precision=int(precision))
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historical_tags.append(tag)
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return historical_tags
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# ----------------------
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# Main Section
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# ----------------------
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print(r' _ _ _____ _____ _______ ____ _____ _____ _____ _ _______ ____ ____ _ _____ ')
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print(r'| | | |_ _|/ ____|__ __/ __ \| __ \|_ _/ ____| /\ | | |__ __/ __ \ / __ \| | / ____|')
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print(r'| |__| | | | | (___ | | | | | | |__) | | || | / \ | | | | | | | | | | | | | (___ ')
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print(r'| __ | | | \___ \ | | | | | | _ / | || | / /\ \ | | | | | | | | | | | | \___ \ ')
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print(r'| | | |_| |_ ____) | | | | |__| | | \ \ _| || |____ / ____ \| |____ | | | |__| | |__| | |____ ____) |')
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print(r'|_| |_|_____|_____/ |_| \____/|_| \_\_____\_____/_/ \_\______| |_| \____/ \____/|______|_____/ ')
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config = toml.load("setup.toml")
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tags_path = config['system']['tags_path']
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timezone = config['system']['system_timezone']
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system_timezone = config['system']['system_timezone']
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application_user = config['user']['application_user']
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application_pass = config['user']['application_pass']
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server = config['vtscada']['server_name']
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realm_port = config['vtscada']['realm_port']
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realm_name = config['vtscada']['realm_name']
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timezone = pytz.timezone(system_timezone)
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if len(sys.argv) == 2:
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query_type = sys.argv[1]
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print("")
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historical_tags = read_tags(tags_path)
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start_time = datetime(2023, 4, 30, 0, 0, 0)
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end_time = datetime(2023, 5, 2, 23, 59, 59)
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for tag in historical_tags:
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print(tag)
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if query_type == "VTScada":
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print_text('VTScada Data Query')
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query_vtscada(historical_tags, start_time, end_time)
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elif query_type == "AVEVA":
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print_text('AVEVA Historian - Not Implemented')
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elif query_type == "ClearSCADA":
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print_text('ClearSCADA - Not Implemented')
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else:
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print("Invalid arguments!")
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