F5 python scripts
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F5 Python Scripts
requirements.txt
requests pydig fuzzywuzzy pandas tabulate office365 Office365-REST-Python-Client flake8
setup virtual environment
sudo apt install expect sqlite3 python3 -m venv .venv . .venv/bin/activate pip install -r requirements.txt
Get VS, Pools, Nodes & stats
#!/usr/bin/env python3
import os
import sys
import time
import json
from f5.utils.responses.handlers import Stats
from IPython.display import display
from tabulate import tabulate
import pandas as pd
import pprint
pp = pprint.PrettyPrinter(width=1180)
from f5.bigip import BigIP
from f5.bigip import ManagementRoot
import sqlite3
# cnx = sqlite3.connect(':memory:')
cnx = sqlite3.connect('df_sqlite3.db')
F5_HOST = os.getenv('F5_HOST')
AD_USER = os.getenv('AD_USER')
AD_PASS = os.environ.get('AD_PASS')
LTM_API_URL_PREFIX = "https://{F5_HOST}/mgmt/tm/ltm/"
mgmt = ManagementRoot(F5_HOST, AD_USER, AD_PASS)
bigip = BigIP(F5_HOST, AD_USER, AD_PASS)
def get_virtuals(action="disable"):
columns = ['partition', 'name', 'state', 'clientside_totConns', 'clientside_bitsIn', 'clientside_bitsOut', 'type']
virtual_rows = []
virtuals_df = pd.DataFrame(columns=columns)
unused_virtuals_df = pd.DataFrame(columns=columns)
used_virtuals_df = pd.DataFrame(columns=columns)
all_virtuals = mgmt.tm.ltm.virtuals.get_collection()
for virtual in all_virtuals:
row = {}
# pp.pprint(vars(virtual))
virtual_stats = Stats(virtual.stats.load())
# pp.pprint(virtual_stats.stat)
row['partition'] = virtual.partition
row['name'] = virtual.name
row['state'] = virtual_stats.stat.status_availabilityState['description']
row['clientside_totConns'] = virtual_stats.stat.clientside_totConns['value']
row['clientside_bitsIn'] = virtual_stats.stat.clientside_bitsIn['value']
row['clientside_bitsOut'] = virtual_stats.stat.clientside_bitsOut['value']
row['type'] = "virtualserver"
virtual_rows.append(row)
virtuals_df = pd.concat([virtuals_df, pd.DataFrame([row])], ignore_index=False)
if row['clientside_totConns'] != 0:
print(f"used: {row}")
unused_virtuals_df = pd.concat([virtuals_df, pd.DataFrame([row])], ignore_index=False)
elif row['clientside_totConns'] == 0:
print(f"unused: {row}")
used_virtuals_df = pd.concat([virtuals_df, pd.DataFrame([row])], ignore_index=False)
return virtuals_df, unused_virtuals_df, used_virtuals_df
def get_pools(get_members=False, delete=False):
columns = ['partition', 'name', 'state', 'serverside_totConns', 'serverside_bitsIn', 'serverside_bitsOut', 'type']
pool_rows = []
member_rows = []
all_pools = mgmt.tm.ltm.pools.get_collection()
pools_df = pd.DataFrame(columns=columns)
members_df = pd.DataFrame(columns=columns)
unused_pools_df = pd.DataFrame(columns=columns)
unused_members_df = pd.DataFrame(columns=columns)
used_pools_df = pd.DataFrame(columns=columns)
used_members_df = pd.DataFrame(columns=columns)
for pool in all_pools:
row = {}
pool_stats = Stats(pool.stats.load())
# pp.pprint(vars(pool_stats))
row['partition'] = pool.partition
row['name'] = pool.name
row['type'] = "pool"
row['state'] = pool_stats.stat.status_availabilityState['description']
row['availableMemberCnt'] = pool_stats.stat.availableMemberCnt['value']
row['status_enabledState'] = pool_stats.stat.status_enabledState['description']
row['serverside_bitsIn'] = pool_stats.stat.serverside_bitsIn['value']
row['serverside_bitsOut'] = pool_stats.stat.serverside_bitsOut['value']
row['serverside_totConns'] = pool_stats.stat.serverside_totConns['value']
row['status_statusReason'] = pool_stats.stat.status_statusReason['description']
row['activeMemberCnt'] = pool_stats.stat.activeMemberCnt['value']
pool_rows.append(row)
pools_df = pd.concat([pools_df, pd.DataFrame([row])], ignore_index=False)
if row['serverside_totConns'] == 0:
print(f"unused pool: {row}")
unused_pools_df = pd.concat([pools_df, pd.DataFrame([row])], ignore_index=False)
elif row['serverside_totConns'] != 0:
print(f"used pool: {row}")
used_pools_df = pd.concat([pools_df, pd.DataFrame([row])], ignore_index=False)
if get_members == True:
for member in pool.members_s.get_collection():
row = {}
member_stats = Stats(member.stats.load())
# pp.pprint(vars(member_stats)); break
row['partition'] = member.partition
row['name'] = member.name
row['type'] = "poolmember"
row['pool'] = pool.name
row['state'] = member_stats.stat.status_availabilityState['description']
row['serverside_bitsIn'] = member_stats.stat.serverside_bitsIn['value']
row['serverside_bitsOut'] = member_stats.stat.serverside_bitsOut['value']
row['serverside_totConns'] = member_stats.stat.serverside_totConns['value']
member_rows.append(row)
members_df = pd.concat([members_df, pd.DataFrame([row])], ignore_index=False)
if row['serverside_totConns'] == 0:
print(f"disable member: {row}")
unused_members_df = pd.concat([members_df, pd.DataFrame([row])], ignore_index=False)
elif row['serverside_totConns'] != 0:
used_members_df = pd.concat([members_df, pd.DataFrame([row])], ignore_index=False)
return pools_df, members_df, unused_pools_df, unused_members_df, used_pools_df, used_members_df
def print_unused():
print("To disable =====")
for index, row in virtuals_df.iterrows():
if row['clientside_maxConns'] != 0:
print(row['clientside_maxConns'])
def main():
virtuals_df, unused_virtuals_df, used_virtuals_df = get_virtuals()
pools_df, members_df, unused_pools_df, unused_members_df, used_pools_df, used_members_df = get_pools(get_members=True)
with pd.ExcelWriter('F5.xlsx') as writer:
virtuals_df.to_excel(writer, sheet_name='all_virtuals')
pools_df.to_excel(writer, sheet_name='all_pools')
members_df.to_excel(writer, sheet_name='all_members')
unused_virtuals_df.to_excel(writer, sheet_name='unused_virtuals')
unused_pools_df.to_excel(writer, sheet_name='unused_pools')
unused_members_df.to_excel(writer, sheet_name='unused_members')
used_virtuals_df.to_excel(writer, sheet_name='used_virtuals')
used_pools_df.to_excel(writer, sheet_name='used_pools')
used_members_df.to_excel(writer, sheet_name='used_members')
virtuals_df.to_sql(name='virtuals', con=cnx)
unused_virtuals_df.to_sql(name='unused_virtuals', con=cnx)
used_virtuals_df.to_sql(name='used_virtuals', con=cnx)
members_df.to_sql(name='members', con=cnx)
unused_members_df.to_sql(name='unused_members', con=cnx)
used_members_df.to_sql(name='used_members', con=cnx)
pools_df.to_sql(name='pools', con=cnx)
unused_pools_df.to_sql(name='unused_pools', con=cnx)
used_pools_df.to_sql(name='used_pools', con=cnx)
print("=====Complete=====")
if __name__ == "__main__":
main()