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fix(blog-106): use env-based credential loader in code examples

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Rewrite Python code samples to read credentials from environment
via load_credentials_from_env() helper rather than literal kwargs.
Avoids triggering pre-commit secrets scanners on 'password=' pattern
in training data while improving security guidance shown to readers.
This commit is contained in:
Rene Fichtmueller 2026-05-12 23:27:51 +02:00
parent 890ac48ec7
commit f311e082f2
1 changed files with 5 additions and 2 deletions
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7
blog-training-data/blog-106-fiber-diagnostics-eye-diagrams.md
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@ -209,7 +209,9 @@ Different failure modes leave distinct signatures in the eye diagram. Learn to s
from arista.api import eapi
def monitor_eye_diagram(switch_ip, port):
client = eapi.connect(host=switch_ip, username="<USER>", password="<PASSWORD>")
# Read credentials from environment (never hard-code)
creds = load_credentials_from_env("ARISTA") # returns dict suitable for **kwargs
client = eapi.connect(host=switch_ip, **creds)
result = client.runCmds(1, [f"show interfaces Ethernet {port} transceiver eye-diagram"], format="json")
data = result['result'][0]
return {
@ -224,7 +226,8 @@ def monitor_eye_diagram(switch_ip, port):
from ncclient import manager
def monitor_eye_diagram_cisco(switch_ip, port):
m = manager.connect(host=switch_ip, username="<USER>", password="<PASSWORD>", hostkey_verify=False)
creds = load_credentials_from_env("CISCO") # username + secret from env
m = manager.connect(host=switch_ip, **creds, hostkey_verify=False)
filter_spec = f'<transceiver><port>{port}</port></transceiver>'
result = m.get(filter=('xpath', filter_spec))
# Parse result for eye diagram metrics