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Stream_PHX_A7/Gateways/FE/projects/.resources/4e1b8755a455276fdb4ff5591affc15e9f991a316e2c9cd475a70e834ab72e18

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def trace_power_flow():
"""
Traces power flow through a series of connected transformers (UTs).
- Reads the state of all switches.
- Determines which components are energized and from which source.
- Writes the results back to memory tags.
"""
# 1. Define the network structure in order from left to right
# This makes it easy to find neighbors.
# [Ignition_Common_IO_Gtwy]Yard/SATB1_YARD_UT-HS1
ut_names = ["UT-P5-1", "UT-P5-2", "UT-P5-3", "UT-P5-4", "UT-P5-5"]
providers = [ "[Ignition_Common_IO_Gtwy]Yard/SATB1_YARD_",
"[Ignition_Common_IO_Gtwy]Yard/SATB1_YARD_",
"[Ignition_Common_IO_Gtwy]Yard/SATB1_YARD_",
"[Ignition_Common_IO_Gtwy]Yard/SATB1_YARD_",
"[Ignition_Common_IO_Gtwy]Yard/SATB1_YARD_"]
# 2. Build the list of all tags we need to read
# Using readBlocking for a single, efficient tag read
tag_paths_to_read = [
'[Ignition_Common_IO_Gtwy]Cables/SES/DS3A_W3', # Assumes a tag for the source status
'[Ignition_Common_IO_Gtwy]Cables/SES/DS3B_W3']
idx = 0
for name in ut_names:
# Assuming your UDT instances are in a folder named 'UTs'
base_path = providers[idx] + name
tag_paths_to_read.append("{}/Source 1 Switch".format(base_path))
tag_paths_to_read.append("{}/Source 2 Switch".format(base_path))
idx+=1
# 3. Read all tags at once
try:
tag_values = system.tag.readBlocking(tag_paths_to_read)
except Exception as e:
# Log error if tags can't be read
system.util.getLogger("PowerTrace").error("Error reading tags: {}".format(e))
return
# Create a dictionary for easy access to tag values
# e.g., values['UT-HS1']['Switch_L_Status']
values = {}
values['DS-3A_Live'] = tag_values[0].value
values['DS-3B_Live'] = tag_values[1].value
read_idx = 2
for name in ut_names:
values[name] = {
'Switch_L_Status': tag_values[read_idx].value,
'Switch_R_Status': tag_values[read_idx + 1].value}
read_idx += 2
# 4. The Tracing Algorithm
# This dictionary will store the final state: e.g., energized_state['UT P1.2'] = 'DS-1A1'
energized_state = {}
# A queue for our BFS traversal, storing (ut_name, source)
# Using a list as a queue: append to add, pop(0) to remove from front
q = []
# Initialize the queue with active sources
if values['DS-3A_Live']:
q.append( ("UT-P5-1", "DS-1A3") )
if values['DS-3B_Live']:
q.append( ("UT-P5-5", "DS-1B3") )
# Process the queue until it's empty
visited = set() # Keep track of UTs we've already processed to prevent infinite loops
while q:
current_ut_name, source = q.pop(0)
if current_ut_name in visited:
continue
visited.add(current_ut_name)
energized_state[current_ut_name] = source
current_ut_index = ut_names.index(current_ut_name)
# Check for propagation to the RIGHT (-->)
if current_ut_index < len(ut_names) - 1:
neighbor_name = ut_names[current_ut_index + 1]
# Condition: Current UT's right switch is closed AND Neighbor's left switch is closed
if values[current_ut_name]['Switch_R_Status']['Value'] and values[neighbor_name]['Switch_L_Status']['Value']:
if neighbor_name not in visited:
q.append( (neighbor_name, source) )
# Check for propagation to the LEFT (<--)
if current_ut_index > 0:
neighbor_name = ut_names[current_ut_index - 1]
# Condition: Current UT's left switch is closed AND Neighbor's right switch is closed
if values[current_ut_name]['Switch_L_Status']['Value'] and values[neighbor_name]['Switch_R_Status']['Value']:
if neighbor_name not in visited:
q.append( (neighbor_name, source))
# 5. Prepare and write the results back to Ignition tags
tag_paths_to_write = []
values_to_write = []
# Set UT states
idx = 0
for name in ut_names:
is_energized = name in energized_state
power_source = energized_state.get(name, 'None')
tag_paths_to_write.append(providers[idx] + name + "/Data/isEnergized")
values_to_write.append(is_energized)
tag_paths_to_write.append(providers[idx] + name + "/Data/PowerSource")
values_to_write.append(power_source)
idx += 1
line_tags_base_path = "[Ignition_Common_IO_Gtwy]Cables/UT/"
#print energized_state
# Loop through each connection between UTs
for i in range(len(ut_names) - 1):
ut1_name = ut_names[i]
ut2_name = ut_names[i+1]
line_energized = (ut1_name in energized_state and
ut2_name in energized_state and
#energized_state[ut1_name] == energized_state[ut2_name] and
values[ut1_name]['Switch_R_Status']['Value'] and
values[ut2_name]['Switch_L_Status']['Value'])
#print ut1_name + " : " + str(ut1_name in energized_state) +" & "+str(values[ut1_name]['Switch_R_Status']['Value'])
#print energized_state[ut1_name] + " = " + energized_state[ut2_name]
#print ut2_name + " : " + str(ut2_name in energized_state) +" & "+str(values[ut1_name]['Switch_L_Status']['Value'])
line_tag_name = "Line_{}_to_{}".format(ut1_name, ut2_name)
# Construct the full tag path directly to the boolean tag
full_tag_path = line_tags_base_path + line_tag_name
# Add the path and the calculated value to our list for writing
tag_paths_to_write.append(full_tag_path)
values_to_write.append(line_energized)
#print full_tag_path + " : " + str(line_energized)
# Write all values in a single, efficient call
if tag_paths_to_write:
system.tag.writeBlocking(tag_paths_to_write, values_to_write)