mvanryn/VTScada-HistoricalTools
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Proper implementation of year folders and a CSV file for each day of the query for VTScada tags to help keep within the 10 second interval limit.

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This commit is contained in:
Michael Van Ryn 2023-05-02 09:32:00 -06:00
parent a010ddd844
commit 8dbb030dd9
7 changed files with 76 additions and 2207 deletions
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12
input/tags.csv
View File

@ -3,3 +3,15 @@ temp\old_value1,temp\new_value1,real,1,20,2,0
temp\old_value2,temp\new_value2,integer,10,100,0,0 temp\old_value2,temp\new_value2,integer,10,100,0,0
temp\old_value3,temp\new_value3,real,1.5,100,2,0 temp\old_value3,temp\new_value3,real,1.5,100,2,0
temp\old_value4,temp\new_value4,boolean,1,9,0,0 temp\old_value4,temp\new_value4,boolean,1,9,0,0
temp\old_value5,temp\new_value5,real,1,20,2,0
temp\old_value6,temp\new_value6,integer,10,100,0,0
temp\old_value7,temp\new_value7,real,1.5,100,2,0
temp\old_value8,temp\new_value8,boolean,1,9,0,0
temp\old_value9,temp\new_value9,real,1,10,2,0
temp\old_value10,temp\new_value10,integer,1,10,0,0
temp\old_value11,temp\new_value11,real,1,10,4,0
temp\old_value12,temp\new_value12,boolean,1,10,0,0
temp\old_value13,temp\new_value13,real,1,12,4,0
temp\old_value14,temp\new_value14,integer,1,13,0,0
temp\old_value15,temp\new_value15,real,1,14,4,0
temp\old_value16,temp\new_value16,boolean,1,15,0,0

1 Source Name Destination Name Data Type Scale Factor Interval (s) Precision Deadband
3 temp\old_value2 temp\new_value2 integer 10 100 0 0
4 temp\old_value3 temp\new_value3 real 1.5 100 2 0
5 temp\old_value4 temp\new_value4 boolean 1 9 0 0
6 temp\old_value5 temp\new_value5 real 1 20 2 0
7 temp\old_value6 temp\new_value6 integer 10 100 0 0
8 temp\old_value7 temp\new_value7 real 1.5 100 2 0
9 temp\old_value8 temp\new_value8 boolean 1 9 0 0
10 temp\old_value9 temp\new_value9 real 1 10 2 0
11 temp\old_value10 temp\new_value10 integer 1 10 0 0
12 temp\old_value11 temp\new_value11 real 1 10 4 0
13 temp\old_value12 temp\new_value12 boolean 1 10 0 0
14 temp\old_value13 temp\new_value13 real 1 12 4 0
15 temp\old_value14 temp\new_value14 integer 1 13 0 0
16 temp\old_value15 temp\new_value15 real 1 14 4 0
17 temp\old_value16 temp\new_value16 boolean 1 15 0 0

91
main.py
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@ -1,6 +1,7 @@
import csv import csv
import toml import toml
import sys import sys
import os
import requests import requests
from typing import List, Union from typing import List, Union
from datetime import datetime, timezone, timedelta from datetime import datetime, timezone, timedelta
@ -11,6 +12,9 @@ from datetime import datetime, timezone, timedelta
# Classes # Classes
# ---------------------- # ----------------------
# HistoricalTag
# ----------------------
class HistoricalTag: class HistoricalTag:
def __init__(self, def __init__(self,
@ -39,6 +43,8 @@ class HistoricalTag:
# Functions # Functions
# ---------------------- # ----------------------
# compress_and_scale_real()
# ----------------------
def compress_and_scale_real(values: List[Union[int, float, None]], deadband: float, scale_factor: float, precision: int) -> List[Union[int, float, None]]: def compress_and_scale_real(values: List[Union[int, float, None]], deadband: float, scale_factor: float, precision: int) -> List[Union[int, float, None]]:
compressed_values = [] compressed_values = []
working_value = None working_value = None
@ -56,6 +62,9 @@ def compress_and_scale_real(values: List[Union[int, float, None]], deadband: flo
return compressed_values return compressed_values
# compress_boolean()
# ----------------------
def compress_boolean(values: List[Union[int, float, None]]) -> List[Union[int, float, None]]: def compress_boolean(values: List[Union[int, float, None]]) -> List[Union[int, float, None]]:
compressed_values = [] compressed_values = []
@ -73,20 +82,25 @@ def compress_boolean(values: List[Union[int, float, None]]) -> List[Union[int, f
return compressed_values return compressed_values
# create_directory()
# ----------------------
def create_directory(path): def create_directory(path):
if not os.path.exists(path): if not os.path.exists(path):
os.makedirs(path) os.makedirs(path)
# print_text()
# ----------------------
def print_text(text: str): def print_text(text: str):
print(r'-------------------------------------------------------------------------------------------------------') print(r'-------------------------------------------------------------------------------------------------------')
print(text) print(text)
print(r'-------------------------------------------------------------------------------------------------------') print(r'-------------------------------------------------------------------------------------------------------')
# query_vtscada_tag()
def map_tags(): # ----------------------
print("-- Mapping Tags --")
def query_vtscada_tag(historical_tag: HistoricalTag, ft_start_time: datetime, ft_end_time: datetime) -> List[Union[int, float, None]]: def query_vtscada_tag(historical_tag: HistoricalTag, ft_start_time: datetime, ft_end_time: datetime) -> List[Union[int, float, None]]:
@ -104,22 +118,25 @@ def query_vtscada_tag(historical_tag: HistoricalTag, ft_start_time: datetime, ft
url = "http://" + server + ":" + realm_port + \ url = "http://" + server + ":" + realm_port + \
"/" + realm_name + "/REST/SQLQuery?query=" + query "/" + realm_name + "/REST/SQLQuery?query=" + query
print_text(url) # print_text(url)
response = requests.get(url, auth=(application_user, application_pass)) response = requests.get(url, auth=(application_user, application_pass))
returned = response.json() returned = response.json()
return returned['results']['values'] return returned['results']['values']
# query_vtscada()
# ----------------------
def query_vtscada(historical_tags: List[HistoricalTag], start_time: datetime, end_time: datetime): def query_vtscada(historical_tags: List[HistoricalTag], start_time: datetime, end_time: datetime):
current_start_time = start_time current_start_time = start_time
current_end_time = start_time + timedelta(days=1) current_end_time = start_time + timedelta(days=1)
while current_start_time < end_time: while current_start_time < end_time:
dir_path = output_path + start_time.year + \ print("Querying data for: " + str(current_start_time.year) + " " +
"_" + start_time.month + start_time.day str(current_start_time.month) + " " + str(current_start_time.day))
dir_path = output_path + str(start_time.year) + "\\"
create_directory(dir_path) create_directory(dir_path)
ft_start_time = "'" + \ ft_start_time = "'" + \
@ -130,25 +147,46 @@ def query_vtscada(historical_tags: List[HistoricalTag], start_time: datetime, en
tag_mappings = [] tag_mappings = []
for tag in historical_tags: for tag in historical_tags:
print(tag.name_source)
values = query_vtscada_tag(tag, ft_start_time, ft_end_time) values = query_vtscada_tag(tag, ft_start_time, ft_end_time)
output_file = prepare_file_for_tag(
tag, values, dir_path, current_end_time)
if values is None: if output_file != "":
print("No values found")
else:
if tag.tag_type == "real" or tag.tag_type == "integer":
compressed_values = compress_and_scale_real(
values, tag.deadband, tag.scale_factor, tag.precision)
else:
compressed_values = compress_boolean(values)
output_file = tag.name_source.replace('\\', '_') + ".csv"
full_output_file = output_path + output_file
write_values_to_file(full_output_file, compressed_values)
tag_mappings.append((output_file, tag.name_dest)) tag_mappings.append((output_file, tag.name_dest))
write_tagmapping_to_file(output_path + "TagMapping.csv", tag_mappings) write_tagmapping_to_file(
dir_path + "TagMapping.csv", tag_mappings)
current_start_time += timedelta(days=1)
current_end_time += timedelta(days=1)
# prepare_file_for_tag()
# ----------------------
def prepare_file_for_tag(tag: HistoricalTag, values: List[Union[int, float, None]], dir_path: str, current_end_time: datetime) -> str:
if values is None:
print("No values found")
return ""
else:
output_file = ""
if tag.tag_type == "real" or tag.tag_type == "integer":
compressed_values = compress_and_scale_real(
values, tag.deadband, tag.scale_factor, tag.precision)
else:
compressed_values = compress_boolean(values)
if len(compressed_values) != 0:
output_file = tag.name_source.replace('\\', '_') + "_" + str(current_end_time.year) + str(
current_end_time.month) + str(current_end_time.day) + ".csv"
full_output_file = dir_path + output_file
write_values_to_file(full_output_file, compressed_values)
return output_file
# write_values_to_file()
# ----------------------
def write_values_to_file(output_file: str, values: List[Union[int, float, None]]): def write_values_to_file(output_file: str, values: List[Union[int, float, None]]):
@ -163,9 +201,12 @@ def write_values_to_file(output_file: str, values: List[Union[int, float, None]]
'%Y-%m-%d %H:%M:%S.%f')[:-3] '%Y-%m-%d %H:%M:%S.%f')[:-3]
csv_writer.writerow([formatted_timestamp, value]) csv_writer.writerow([formatted_timestamp, value])
# write_tagmappings_to_file()
# ----------------------
def write_tagmapping_to_file(output_file: str, tag_mappings: List[str]): def write_tagmapping_to_file(output_file: str, tag_mappings: List[str]):
with open(output_file, mode='w', newline='', encoding='utf-8') as csvfile: with open(output_file, mode='a', newline='', encoding='utf-8') as csvfile:
csv_writer = csv.writer(csvfile) csv_writer = csv.writer(csvfile)
for mapping in tag_mappings: for mapping in tag_mappings:
@ -176,8 +217,6 @@ def write_tagmapping_to_file(output_file: str, tag_mappings: List[str]):
# ---------------------- # ----------------------
# Read in the list of tags and set the mapping parameters for each tag and construct the groupings required for the # Read in the list of tags and set the mapping parameters for each tag and construct the groupings required for the
# query # query
def read_tags(file_path: str) -> List[HistoricalTag]: def read_tags(file_path: str) -> List[HistoricalTag]:
historical_tags = [] historical_tags = []
@ -217,8 +256,6 @@ server = config['vtscada']['server_name']
realm_port = config['vtscada']['realm_port'] realm_port = config['vtscada']['realm_port']
realm_name = config['vtscada']['realm_name'] realm_name = config['vtscada']['realm_name']
# timezone = pytz.timezone(system_timezone)
if len(sys.argv) == 4: if len(sys.argv) == 4:
query_type = sys.argv[1] query_type = sys.argv[1]

4
output/TagMapping.csv
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@ -1,4 +0,0 @@
temp_old_value1.csv,temp\new_value1
temp_old_value2.csv,temp\new_value2
temp_old_value3.csv,temp\new_value3
temp_old_value4.csv,temp\new_value4
1 temp_old_value1.csv temp\new_value1
2 temp_old_value2.csv temp\new_value2
3 temp_old_value3.csv temp\new_value3
4 temp_old_value4.csv temp\new_value4

603
output/temp_old_value1.csv
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@ -1,603 +0,0 @@
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output/temp_old_value2.csv
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