57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
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from ldap3 import Server, Connection, ALL, SUBTREE
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import pandas as pd
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# LDAP connection details from the wiki
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server_url = 'ldap://207.246.98.219:389' # Server and port (no TLS, as per "TLS Mode: LDAP or No" – use 'ldaps://' if TLS needed)
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search_base = 'ou=people,dc=hamsoverip,dc=com'
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search_filter = '(telephoneNumber=*)' # Fetch all entries with an extension; adjust if needed, e.g., '(objectClass=person)'
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attributes = ['cn', 'sn', 'telephoneNumber'] # Key attributes; add more if you discover others like 'callsign'
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# Connect anonymously (no auth)
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server = Server(server_url, get_info=ALL)
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conn = Connection(server, auto_bind=True) # No user/password
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# Perform the search
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conn.search(
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search_base=search_base,
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search_filter=search_filter,
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search_scope=SUBTREE,
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attributes=attributes
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)
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# Extract data
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data = []
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for entry in conn.entries:
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extension = entry.telephoneNumber.value if 'telephoneNumber' in entry else ''
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cn_value = entry.cn.value if 'cn' in entry else ''
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sn_value = entry.sn.value if 'sn' in entry else ''
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# clean up data
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hoipnumber = extension.partition(' ')[0]
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callsign = cn_value.partition(' ')[0]
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hamname = sn_value.partition(' ')[0]
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if hoipnumber: # Only include entries with extensions
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data.append({
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'HOIP Extension': hoipnumber,
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'Call': callsign,
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'Name': hamname # Include raw for reference
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})
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# Save to CSV
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if data:
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df = pd.DataFrame(data)
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# CSV output for debugging...
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df.to_csv('hoip_subscribers.csv', index=False)
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print(f'Saved {len(data)} entries to hoip_subscribers.csv')
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# Excel output for production...
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df.to_excel('hoip_subscribers.xlsx', index=False)
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print(f'Saved {len(data)} entries to hoip_subscribers.xlsx')
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else:
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print('No entries found – check filter or connection.')
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# Unbind
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conn.unbind()
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