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.
This commit is contained in:
parent
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@ -3,3 +3,15 @@ temp\old_value1,temp\new_value1,real,1,20,2,0
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temp\old_value2,temp\new_value2,integer,10,100,0,0
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temp\old_value3,temp\new_value3,real,1.5,100,2,0
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temp\old_value4,temp\new_value4,boolean,1,9,0,0
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temp\old_value5,temp\new_value5,real,1,20,2,0
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temp\old_value6,temp\new_value6,integer,10,100,0,0
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temp\old_value7,temp\new_value7,real,1.5,100,2,0
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temp\old_value8,temp\new_value8,boolean,1,9,0,0
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temp\old_value9,temp\new_value9,real,1,10,2,0
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temp\old_value11,temp\new_value11,real,1,10,4,0
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temp\old_value12,temp\new_value12,boolean,1,10,0,0
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temp\old_value13,temp\new_value13,real,1,12,4,0
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temp\old_value14,temp\new_value14,integer,1,13,0,0
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temp\old_value15,temp\new_value15,real,1,14,4,0
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temp\old_value16,temp\new_value16,boolean,1,15,0,0
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main.py
73
main.py
@ -1,6 +1,7 @@
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import csv
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import toml
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import sys
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import os
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import requests
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from typing import List, Union
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from datetime import datetime, timezone, timedelta
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@ -11,6 +12,9 @@ from datetime import datetime, timezone, timedelta
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# Classes
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# ----------------------
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# HistoricalTag
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# ----------------------
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class HistoricalTag:
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def __init__(self,
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@ -39,6 +43,8 @@ class HistoricalTag:
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# Functions
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# ----------------------
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# compress_and_scale_real()
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# ----------------------
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def compress_and_scale_real(values: List[Union[int, float, None]], deadband: float, scale_factor: float, precision: int) -> List[Union[int, float, None]]:
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compressed_values = []
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working_value = None
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@ -56,6 +62,9 @@ def compress_and_scale_real(values: List[Union[int, float, None]], deadband: flo
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return compressed_values
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# compress_boolean()
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# ----------------------
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def compress_boolean(values: List[Union[int, float, None]]) -> List[Union[int, float, None]]:
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compressed_values = []
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@ -73,20 +82,25 @@ def compress_boolean(values: List[Union[int, float, None]]) -> List[Union[int, f
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return compressed_values
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# create_directory()
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# ----------------------
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def create_directory(path):
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if not os.path.exists(path):
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os.makedirs(path)
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# print_text()
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# ----------------------
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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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# query_vtscada_tag()
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# ----------------------
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def query_vtscada_tag(historical_tag: HistoricalTag, ft_start_time: datetime, ft_end_time: datetime) -> List[Union[int, float, None]]:
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@ -104,22 +118,25 @@ def query_vtscada_tag(historical_tag: HistoricalTag, ft_start_time: datetime, ft
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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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# 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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return returned['results']['values']
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# query_vtscada()
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# ----------------------
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def query_vtscada(historical_tags: List[HistoricalTag], start_time: datetime, end_time: datetime):
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current_start_time = start_time
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current_end_time = start_time + timedelta(days=1)
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while current_start_time < end_time:
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dir_path = output_path + start_time.year + \
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"_" + start_time.month + start_time.day
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print("Querying data for: " + str(current_start_time.year) + " " +
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str(current_start_time.month) + " " + str(current_start_time.day))
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dir_path = output_path + str(start_time.year) + "\\"
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create_directory(dir_path)
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ft_start_time = "'" + \
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@ -130,25 +147,46 @@ def query_vtscada(historical_tags: List[HistoricalTag], start_time: datetime, en
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tag_mappings = []
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for tag in historical_tags:
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print(tag.name_source)
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values = query_vtscada_tag(tag, ft_start_time, ft_end_time)
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output_file = prepare_file_for_tag(
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tag, values, dir_path, current_end_time)
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if output_file != "":
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tag_mappings.append((output_file, tag.name_dest))
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write_tagmapping_to_file(
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dir_path + "TagMapping.csv", tag_mappings)
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current_start_time += timedelta(days=1)
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current_end_time += timedelta(days=1)
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# prepare_file_for_tag()
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# ----------------------
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def prepare_file_for_tag(tag: HistoricalTag, values: List[Union[int, float, None]], dir_path: str, current_end_time: datetime) -> str:
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if values is None:
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print("No values found")
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return ""
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else:
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output_file = ""
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if tag.tag_type == "real" or tag.tag_type == "integer":
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compressed_values = compress_and_scale_real(
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values, tag.deadband, tag.scale_factor, tag.precision)
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else:
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compressed_values = compress_boolean(values)
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output_file = tag.name_source.replace('\\', '_') + ".csv"
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full_output_file = output_path + output_file
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if len(compressed_values) != 0:
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output_file = tag.name_source.replace('\\', '_') + "_" + str(current_end_time.year) + str(
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current_end_time.month) + str(current_end_time.day) + ".csv"
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full_output_file = dir_path + output_file
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write_values_to_file(full_output_file, compressed_values)
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tag_mappings.append((output_file, tag.name_dest))
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write_tagmapping_to_file(output_path + "TagMapping.csv", tag_mappings)
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return output_file
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# write_values_to_file()
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# ----------------------
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def write_values_to_file(output_file: str, values: List[Union[int, float, None]]):
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@ -163,9 +201,12 @@ def write_values_to_file(output_file: str, values: List[Union[int, float, None]]
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'%Y-%m-%d %H:%M:%S.%f')[:-3]
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csv_writer.writerow([formatted_timestamp, value])
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# write_tagmappings_to_file()
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# ----------------------
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def write_tagmapping_to_file(output_file: str, tag_mappings: List[str]):
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with open(output_file, mode='w', newline='', encoding='utf-8') as csvfile:
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with open(output_file, mode='a', newline='', encoding='utf-8') as csvfile:
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csv_writer = csv.writer(csvfile)
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for mapping in tag_mappings:
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@ -176,8 +217,6 @@ def write_tagmapping_to_file(output_file: str, tag_mappings: List[str]):
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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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@ -217,8 +256,6 @@ 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) == 4:
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query_type = sys.argv[1]
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temp_old_value1.csv,temp\new_value1
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temp_old_value2.csv,temp\new_value2
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temp_old_value3.csv,temp\new_value3
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temp_old_value4.csv,temp\new_value4
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@ -1,121 +0,0 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
@ -1,122 +0,0 @@
|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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2023-05-01 19:05:00.000,7143.21
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2023-05-01 19:06:40.000,7158.36
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2023-05-01 19:08:20.000,7173.51
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2023-05-01 19:10:00.000,7188.66
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2023-05-01 19:11:40.000,7203.81
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2023-05-01 19:13:20.000,7218.96
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2023-05-01 19:15:00.000,7234.11
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2023-05-01 19:16:40.000,7249.26
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2023-05-01 19:18:20.000,7264.41
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2023-05-01 19:20:00.000,7279.56
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2023-05-01 19:23:20.000,7309.86
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2023-05-01 19:26:40.000,7340.16
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2023-05-01 19:28:20.000,7355.31
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2023-05-01 19:30:00.000,7370.46
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2023-05-01 19:31:40.000,7385.61
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2023-05-01 19:33:20.000,7400.76
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2023-05-01 19:35:00.000,7415.91
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2023-05-01 19:36:40.000,7431.06
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2023-05-01 19:38:20.000,7446.21
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2023-05-01 19:40:00.000,7461.36
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2023-05-01 19:41:40.000,7476.51
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2023-05-01 19:43:20.000,7491.66
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2023-05-01 19:45:00.000,7506.81
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2023-05-01 19:46:40.000,7521.96
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2023-05-01 19:48:20.000,7537.11
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2023-05-01 19:50:00.000,7552.26
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2023-05-01 19:51:40.000,7567.41
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2023-05-01 20:00:00.000,7643.16
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2023-05-01 20:01:40.000,7658.31
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2023-05-01 20:10:00.000,7734.06
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2023-05-01 20:11:40.000,7749.21
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2023-05-01 20:13:20.000,7764.36
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2023-05-01 20:15:00.000,7779.51
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2023-05-01 20:16:40.000,7794.66
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2023-05-01 20:18:20.000,7809.81
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2023-05-01 20:20:00.000,7824.96
|
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2023-05-01 20:21:40.000,7840.11
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2023-05-01 20:23:20.000,7855.26
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2023-05-01 20:25:00.000,7870.41
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2023-05-01 20:26:40.000,7885.56
|
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2023-05-01 20:28:20.000,7900.71
|
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2023-05-01 20:30:00.000,7915.86
|
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2023-05-01 20:31:40.000,7931.01
|
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2023-05-01 20:33:20.000,7946.16
|
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2023-05-01 20:35:00.000,7961.31
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2023-05-01 20:36:40.000,7976.46
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2023-05-01 20:38:20.000,7991.61
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2023-05-01 20:40:00.000,8006.76
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2023-05-01 20:41:40.000,8021.91
|
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2023-05-01 20:43:20.000,8037.06
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2023-05-01 20:45:00.000,8052.21
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2023-05-01 20:46:40.000,8067.36
|
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2023-05-01 20:48:20.000,8082.51
|
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2023-05-01 20:50:00.000,8097.66
|
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|
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2023-05-01 20:53:20.000,8127.96
|
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2023-05-01 20:55:00.000,8143.11
|
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2023-05-01 20:56:40.000,8158.26
|
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2023-05-01 20:58:20.000,8173.41
|
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2023-05-01 21:00:00.000,8188.56
|
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|
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2023-05-01 21:03:20.000,8218.86
|
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2023-05-01 21:05:00.000,8234.01
|
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2023-05-01 21:06:40.000,8249.16
|
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2023-05-01 21:08:20.000,8264.31
|
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2023-05-01 21:10:00.000,8279.46
|
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2023-05-01 21:11:40.000,8294.61
|
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2023-05-01 21:13:20.000,8309.76
|
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2023-05-01 21:15:00.000,8324.91
|
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2023-05-01 21:16:40.000,8340.06
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2023-05-01 21:18:20.000,8355.21
|
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2023-05-01 21:20:00.000,8365.03
|
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2023-05-01 21:21:40.000,8365.22
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Reference in New Issue
Block a user