94 lines
2.9 KiB
Python
94 lines
2.9 KiB
Python
import pandas as pd
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import re
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def normalize_io_term(term):
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"""Handle IO term variations like IO1 vs IO01"""
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if pd.isna(term):
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return []
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term_str = str(term).upper()
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variations = [term_str]
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# Handle IO padding variations
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if term_str.startswith('IO') and len(term_str) > 2:
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num_part = term_str[2:]
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if num_part.isdigit():
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# Add both padded and unpadded versions
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unpadded = f"IO{int(num_part)}" # Remove leading zeros
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padded = f"IO{num_part.zfill(2)}" # Ensure 2-digit padding
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variations.extend([unpadded, padded])
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return list(set(variations)) # Remove duplicates
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def normalize_name(name):
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if pd.isna(name):
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return name
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return re.sub(r'\d+', lambda m: str(int(m.group(0))), str(name))
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def normalize_vfd_name(name):
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"""Only normalize VFD names, preserve others as-is"""
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if pd.isna(name):
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return name
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name_str = str(name).upper()
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if 'VFD' in name_str:
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return normalize_name(name)
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return str(name)
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def normalize_io_path(path):
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if pd.isna(path):
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return path
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path_str = str(path)
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if ':' in path_str:
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prefix, suffix = path_str.split(':', 1)
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# Only normalize VFD paths
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if 'VFD' in prefix.upper():
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normalized_prefix = normalize_name(prefix)
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return f"{normalized_prefix}:{suffix}"
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return path_str
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return path_str
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def assign_partnumber(row):
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tagname = str(row['TAGNAME']).upper()
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existing_partnumber = row['PARTNUMBER']
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# If there's already a valid part number, keep it
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if pd.notna(existing_partnumber) and existing_partnumber != '':
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return existing_partnumber
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# Only assign default part numbers if no existing part number
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# FIOH devices
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if 'FIOH' in tagname:
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return 'TBIL-M1-16DXP'
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# DPM devices (only if contains DPM but NOT FIO)
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elif 'DPM' in tagname and 'FIO' not in tagname:
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return 'OS30-002404-2S'
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# PMM devices
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elif 'PMM' in tagname:
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return '1420-V2-ENT'
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# SIO devices
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elif 'SIO' in tagname:
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return '0980SSL3131-121-007D-202'
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# IB16S devices (check before IB16 to avoid conflict)
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elif 'IB16S' in tagname:
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return '1756-IB16S'
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# IB16 devices
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elif 'IB16' in tagname:
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return '1756-IB16'
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# OB16E devices
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elif 'OB16E' in tagname:
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return '1756-OB16E'
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else:
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return ''
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def combine_desc(row):
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desca = str(row['DESCA']) if pd.notna(row['DESCA']) and row['DESCA'] != '' else ''
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descb = str(row['DESCB']) if pd.notna(row['DESCB']) and row['DESCB'] != '' else ''
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if desca and descb:
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return f"{desca} {descb}"
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elif desca:
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return desca
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elif descb:
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return descb
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else:
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return '' |