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ki.py
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#!/usr/bin/python3
#*************************************************
# Description : Kubectl Pro
# Version : 5.6
#*************************************************
from collections import deque
import os,re,sys,time,readline,subprocess
#-----------------VAR-----------------------------
home = os.environ["HOME"]
history = home + "/.history"
default_config = home + "/.kube/config"
ki_all = history + "/.all"
ki_dict = history + "/.dict"
ki_last = history + "/.last"
ki_lock = history + "/.lock"
ki_line = history + "/.line"
ki_cache = history + "/.cache"
ki_unlock = history + "/.unlock"
ki_ns_dict = history + "/.ns_dict"
ki_pod_dict = history + "/.pod_dict"
ki_latest_ns_dict = history + "/.latest_ns_dict"
ki_current_ns_dict = history + "/.current_ns_dict"
KUBECTL_OPTIONS = "--insecure-skip-tls-verify"
KI_AI_URL = os.getenv("KI_AI_URL", "https://api.openai.com/v1/chat/completions")
KI_AI_KEY = os.getenv("KI_AI_KEY", "")
KI_AI_MODEL = os.getenv("KI_AI_MODEL", "gpt-4o")
#-----------------FUN-----------------------------
def cmp_file(f1, f2):
if os.path.getsize(f1) != os.path.getsize(f2):
return False
bufsize = 8192
with open(f1, 'rb') as fp1, open(f2, 'rb') as fp2:
while True:
b1 = fp1.read(bufsize)
b2 = fp2.read(bufsize)
if b1 != b2:
return False
if not b1 and not b2:
return True
def confirm_action(caution):
try:
confirm = input(caution+", Confirm execution of high-risk operation? (yes/no): ")
return confirm.lower() in ("yes","y")
except:
return False
def cmd_obj(ns, obj, res, args, iip="x"):
name = res
if obj in ("Node"):
if args[0] in ('c','u'):
action = "cordon" if args[0] == 'c' else "uncordon"
cmd = f"kubectl {KUBECTL_OPTIONS} "+action+" "+res
elif args[0] in ('d','e'):
action = "describe" if args[0] == 'd' else "edit"
cmd = f"kubectl {KUBECTL_OPTIONS} "+action+" "+obj.lower()+" "+res
elif args[0] == 'o':
action = "get"
action2 = " -o yaml > "+res+"."+obj.lower()+".yml"
cmd = f"kubectl {KUBECTL_OPTIONS} "+action+" "+obj.lower()+" "+res+action2
else:
action = "ssh"
node_ip = get_data(f"kubectl {KUBECTL_OPTIONS} get node " + res + " -o jsonpath='{.status.addresses[?(@.type==\"InternalIP\")].address}'")[0]
if find_ip(node_ip):
cmd = action +" root@"+node_ip
else:
cmd = action +" root@"+iip
elif obj in ("Event"):
action = "get"
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" "+action+" "+obj+" --sort-by=.metadata.creationTimestamp"
elif obj in ("Deployment","DaemonSet","Service","StatefulSet","Ingress","ConfigMap","Secret","PersistentVolume","PersistentVolumeClaim","CronJob","Job","VirtualService","Gateway","HTTPRoute","DestinationRule","EnvoyFilter"):
action2 = ""
if args in ("cle","delete"):
if confirm_action("This command will delete the "+obj):
action = "delete"
else:
print("Operation canceled.")
return
elif args[0] == "e":
action = "edit"
elif args[0] == "d":
action = "describe"
elif args[0] == 'o':
action = "get"
action2 = " -o yaml > "+res+"."+obj.lower()+".yml"
else:
action = "get"
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" "+action+" "+obj.lower()+" "+res+action2 if obj not in ("PersistentVolume") else f"kubectl {KUBECTL_OPTIONS} "+action+" "+obj.lower()+" "+res+action2
elif obj in ("ResourceQuota"):
action2 = ""
if args[0] == "e":
action = "edit"
elif args[0] == "d":
action = "describe"
elif args[0] == 'o':
action = "get"
action2 = " -o yaml > "+ns+"."+obj.lower()+".yml"
elif args in ("cle","delete"):
if confirm_action("This command will delete the "+obj):
action = "delete"
else:
print("Operation canceled.")
return
else:
action = "get"
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" "+action+" "+obj.lower()+" "+res+action2
else:
l = get_obj(ns,res)
obj = l[0]
name = l[1]
d = {'d':'Deployment','s':'Service','i':'Ingress','f':'StatefulSet','a':'DaemonSet','p':'Pod','g':'Gateway','h':'HTTPRoute','V':'VirtualService','D':'DestinationRule','E':'EnvoyFilter'}
if args == "p":
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" exec -it "+res+" -- sh"
elif args == "del":
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" delete pod "+res+" --wait=false"
elif args == "delf":
action = "delete"
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" delete pod "+res+" --grace-period=0 --force"
elif args in ("cle","delete"):
if confirm_action("This command will delete the deployment associated with the pod"):
action = "delete"
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" "+action+" "+obj.lower()+" "+name
else:
print("Operation canceled.")
return
elif args in ("destroy","destory"):
if confirm_action("Delete associated Deployment, Service, and Ingress resources for the Pod"):
action = "delete"
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" "+action+" "+obj.lower()+",service,ingress "+name
else:
print("Operation canceled.")
return
elif args[0] in ('l', 'c', 'g'):
search_term = args[1:].strip()
try:
result_list = get_data(f"kubectl {KUBECTL_OPTIONS} -n "+ns+" get pod "+res+" -o jsonpath='{.spec.containers[:].name}'")[0].split()
except:
sys.exit()
container = "--all-containers --max-log-requests=28"
if search_term:
if search_term.isdigit():
if 0 < int(search_term) < 10000:
os.environ['KI_LINE'] = search_term
with open(ki_line,'w') as f:
f.write(search_term)
if search_term.isdigit() and len(search_term) < 12:
cmd = f"kubectl {KUBECTL_OPTIONS} -n {ns} logs -f {res} {container} --tail {search_term}"
else:
if args[0] == 'l':
cmd = f"kubectl {KUBECTL_OPTIONS} -n {ns} logs -f --tail 1024 {res} {container} | grep -a --color=auto '{search_term}'"
else:
grep_option = "" if args[0] == 'g' else "-C 10"
cmd = f"kubectl {KUBECTL_OPTIONS} -n {ns} logs -f {res} {container} | grep -a --color=auto {grep_option} '{search_term}'"
else:
if 'KI_LINE' in os.environ:
line = os.environ['KI_LINE']
elif os.path.exists(ki_line):
with open(ki_line,'r') as f:
line_file = str(f.read())
os.environ['KI_LINE'] = line_file if line_file.isdigit() and int(line_file) < 4096 else str(200)
line = os.environ['KI_LINE']
else:
line = str(200)
cmd = f"kubectl {KUBECTL_OPTIONS} -n {ns} logs -f {res} {container} --tail {line}"
elif args[0] in ('v'):
regular = args[1:]
try:
result_list = get_data(f"kubectl {KUBECTL_OPTIONS} -n "+ns+" get pod "+res+" -o jsonpath='{.spec.containers[:].name}'")[0].split()
except:
sys.exit()
container = name if name in result_list else "--all-containers"
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" logs -f "+res+" "+container+" --previous --tail "+ ( regular if regular and regular.isdigit() and len(regular) < 12 else "4096" )
elif args[0] in ('r'):
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" rollout restart "+obj.lower()+" "+name
elif args[0] in ('u'):
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" rollout undo "+obj.lower()+"/"+name
elif args[0] in ('o'):
action = "get"
if len(args) > 1:
obj = d.get(args[1],'Pod')
if obj == 'Pod': name = res
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" "+action+" "+obj.lower()+" "+name+" -o yaml > "+name+"."+obj.lower()+".yml"
elif args[0] in ('d','e'):
action = "describe" if args[0] == 'd' else "edit"
if len(args) > 1:
obj = d.get(args[1],'Pod')
if obj == 'Pod': name = res
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" "+action+" "+obj.lower()+" "+name
elif args[0] in ('s'):
if confirm_action("This command will scale the "+obj):
regular = args.split('s')[-1]
action = "scale"
replicas = regular if regular.isdigit() and -1 < int(regular) < 30 else str(1)
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" "+action+" --replicas="+replicas+" "+obj.lower()+"/"+name
else:
print("Operation canceled.")
return
elif args[0] in ('n'):
action = "ssh"
try:
hostIP = get_data(f"kubectl {KUBECTL_OPTIONS} -n "+ns+" get pod "+res+" -o jsonpath='{.status.hostIP}'")[0]
except:
sys.exit()
cmd = action +" root@"+hostIP
else:
cmd = "kubectl {KUBECTL_OPTIONS} -n "+ns+" exec -it "+res+" -- sh"
return cmd,obj,name
def find_ip(res: str):
ip_regex = r'\b\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}\b'
ips = re.findall(ip_regex, res)
return ips[0] if ips else ""
def find_optimal(namespace_list: list, namespace: str):
namespace_list.sort()
has_namespace = [namespace in row for row in namespace_list]
index_scores = [row.index(namespace) * 0.618 if has_namespace[i] else 8192 for i, row in enumerate(namespace_list)]
contain_scores = [len(row.replace(namespace, '')) * 0.618 for row in namespace_list]
result_scores = [(index_scores[i] + container) * (1 if has_namespace[i] else 1.618) for i, container in enumerate(contain_scores)]
if result_scores:
return namespace_list[result_scores.index(min(result_scores))] if len(set(index_scores)) != 1 else ( namespace_list[has_namespace.index(True)] if True in has_namespace else None )
else:
return None
def find_config():
os.path.exists(history) or os.mkdir(history)
cmd = '''find $HOME/.kube -maxdepth 2 -type f -name 'kubeconfig*' -a ! -name 'kubeconfig-*-NULL' 2>/dev/null|egrep '.*' || ( find $HOME/.kube -maxdepth 1 -type f 2>/dev/null|egrep '.*' &>/dev/null && grep -l "current-context" `find $HOME/.kube -maxdepth 1 -type f` )'''
result_set = { e.split('\n')[0] for e in get_data(cmd) }
result_num = len(result_set)
result_lines = list(result_set)
kubeconfig = None
if result_num == 1:
if os.path.exists(default_config):
if not os.path.islink(default_config):
os.rename(default_config, home+"/.kube/config-0")
os.symlink(home+"/.kube/config-0",default_config)
kubeconfig = "config-0"
else:
kubeconfig = result_lines[0].split("/")[-1]
else:
try:
os.unlink(default_config)
except:
pass
os.symlink(result_lines[0],default_config)
kubeconfig = result_lines[0].split("/")[-1]
elif result_num > 1:
global header_config
dc = {}
if os.path.exists(ki_dict) and os.path.getsize(ki_dict) > 5:
with open(ki_dict,'r') as f:
try:
dc = eval(f.read())
for config in list(dc.keys()):
if not os.path.exists(config):
del dc[config]
except:
os.unlink(ki_dict)
if os.path.exists(ki_last) and os.path.getsize(ki_last) > 0:
with open(ki_last,'r') as f:
last_config = f.read()
if not os.path.exists(last_config):
last_config = result_lines[0]
else:
last_config = result_lines[0]
result_dict = sorted(dc.items(),key = lambda dc:(dc[1], dc[0]),reverse=True)
sort_list = deque([ i[0] for i in result_dict ])
header_config = sort_list[0] if sort_list else os.path.realpath(default_config)
last_config in sort_list and sort_list.remove(last_config)
sort_list.appendleft(last_config)
result_lines = list(sort_list) + list(result_set - set(sort_list))
if os.path.exists(default_config):
if not os.path.islink(default_config):
os.rename(default_config, home+"/.kube/config-0")
os.symlink(home+"/.kube/config-0",default_config)
kubeconfig = "config-0"
else:
for e in result_lines:
if cmp_file(e,default_config): kubeconfig = e.strip().split("/")[-1]
else:
try:
os.unlink(default_config)
except:
pass
os.symlink(result_lines[0],default_config)
kubeconfig = result_lines[0].split("/")[-1]
return [kubeconfig,result_lines,result_num]
def compress_list(l: list):
if len(l) > 3:
num = 15
i = 0
while i + 2 < len(l):
if l[i+1] - l[i] > num and l[i] > 0 and l[i+2] > 1:
l[i] -= 1
l[i+1] = min(l[i] + num, l[i+1])
l[i+2] -= 2
else:
i += 1
if l[-1] - l[-2] < num + 1:
return l
else:
l[0] = 1
l[-1] = l[-2] + 1
return compress_list(l)
else:
return l
def find_history(config,num=1):
if config != header_config:
dc = {}
if os.path.exists(ki_dict) and os.path.getsize(ki_dict) > 5:
with open(ki_dict,'r') as f:
dc = eval(f.read())
dc[config] = dc[config] + num if config in dc else 1
dc.pop(default_config,None)
for config in list(dc.keys()):
if not os.path.exists(config): del dc[config]
else:
dc[config] = 1
result_dict = sorted(dc.items(),key = lambda dc:dc[1])
for i,j in zip(result_dict,compress_list([ i[1] for i in result_dict ])):
dc[i[0]] = j
with open(ki_dict,'w') as f: f.write(str(dc))
def get_config(config_lines: list, ns: str):
history_lines = []
if os.path.exists(ki_dict):
with open(ki_dict, 'r') as f:
dc = eval(f.read())
dc.pop(os.path.realpath(default_config), None)
history_lines = [k[0] for k in sorted(dc.items(), key=lambda d: d[1], reverse=True)]
config_lines.remove(os.path.realpath(default_config))
matching_configs = [config for config in config_lines if ns in config]
if not matching_configs:
return default_config
def score_config(config):
base_score = dc.get(config, 0)
match_score = len(set(config.lower()) & set(ns.lower())) / len(set(ns.lower()))
history_score = len(history_lines) - history_lines.index(config) if config in history_lines else 0
total_score = base_score * 0.5 + match_score * 0.3 + history_score * 0.2
return total_score
scored_configs = [(config, score_config(config)) for config in matching_configs]
scored_configs.sort(key=lambda x: x[1], reverse=True)
return scored_configs[0][0]
def find_ns(config_struct: list):
ns = None
kubeconfig = None
switch = False
ns_dict = ki_ns_dict
result_num = config_struct[-1]
kn = re.split("[./]",sys.argv[2])
ns_pattern = kn[-1] if len(kn) > 1 and len(kn[-1].strip()) > 0 else kn[0]
if os.path.exists(ki_current_ns_dict) and int(time.time()-os.stat(ki_current_ns_dict).st_mtime) < 300:
with open(ki_current_ns_dict) as f:
try:
d = eval(f.read())
current_config = os.path.realpath(default_config)
if current_config in d:
ns_list = d[current_config]
if find_optimal(ns_list,ns_pattern):
ns_dict = ki_current_ns_dict
config_struct[1] = [current_config]
except:
os.path.exists(ki_cache) and os.unlink(ki_cache)
ns_list = cache_ns(config_struct)[config]
config = get_config(config_struct[1], kn[0]) or default_config if len(kn) > 1 else default_config
if len(config_struct[1]) > 1:
current_config = os.path.realpath(config)
config_struct[1] = deque(config_struct[1])
current_config in config_struct[1] and config_struct[1].remove(current_config)
config_struct[1].appendleft(current_config)
for n,config in enumerate(config_struct[1]):
if os.path.exists(ns_dict):
with open(ns_dict,'r') as f:
try:
d = eval(f.read())
ns_list = d[config]
except:
os.path.exists(ki_cache) and os.unlink(ki_cache)
ns_list = cache_ns(config_struct)[config]
else:
cmd = f"kubectl {KUBECTL_OPTIONS} get ns --no-headers --kubeconfig "+config
ns_list = [ e.split()[0] for e in get_data(cmd) ]
ns = find_optimal(ns_list,ns_pattern)
if ns:
kubeconfig = config
break
return ns,kubeconfig,switch,result_num
def cache_ns(config_struct: list):
if not os.path.exists(ki_cache) or ( os.path.exists(ki_cache) and int(time.time()-os.stat(ki_cache).st_mtime) > 1800 ):
open(ki_cache,"a").close()
d = {}
d_latest = {}
current_d = {}
current_config = os.path.realpath(default_config)
cmd = f"kubectl {KUBECTL_OPTIONS} get ns --sort-by=.metadata.creationTimestamp --no-headers --kubeconfig " + current_config
l = get_data(cmd)
ns_list = [ e.split()[0] for e in l ]
current_d[current_config] = ns_list
with open(ki_current_ns_dict,'w') as f: f.write(str(current_d))
for config in config_struct[1]:
s = []
cmd = f"kubectl {KUBECTL_OPTIONS} get ns --sort-by=.metadata.creationTimestamp --no-headers --kubeconfig " + config
retry_count = 0
max_retries = 2
while retry_count < max_retries:
l = get_data(cmd)
if l:
ns_list = [ e.split()[0] for e in l ]
if os.path.exists(ki_all):
s = ns_list
else:
for ns in ns_list:
cmd1 = f"kubectl {KUBECTL_OPTIONS} get pod --no-headers --kubeconfig "+config+" -n "+ns
cmd2 = f"kubectl {KUBECTL_OPTIONS} get cronjob --no-headers --kubeconfig "+config+" -n "+ns
if get_data(cmd1) or get_data(cmd2):
s.append(ns)
d[config] = s
d_latest[config] = l[-1].split()[0]
break
else:
retry_count += 1
if retry_count == max_retries:
os.path.exists(config) and os.rename(config, config + "-NULL")
with open(ki_ns_dict,'w') as f: f.write(str(d))
with open(ki_latest_ns_dict,'w') as f: f.write(str(d_latest))
os.path.exists(ki_cache) and os.unlink(ki_cache)
return d
def switch_config(switch_num: int,k8s: str,ns: str,time: str):
switch = False
if os.path.exists(default_config) and os.environ['KUBECONFIG'] not in {default_config,os.path.realpath(default_config)}:
if default_config != os.path.realpath(default_config):
with open(ki_last,'w') as f: f.write(os.path.realpath(default_config))
os.unlink(default_config)
os.symlink(os.environ['KUBECONFIG'],default_config)
print("\033[1;93m{}\033[0m".format("[ "+time+" "+str(switch_num+1)+"-SWITCH "+k8s+" / "+ns+" ] "))
find_history(os.environ['KUBECONFIG'],3)
switch_num > 0 and subprocess.Popen("ki --c",shell=True,stdout=subprocess.PIPE,stderr=subprocess.PIPE,universal_newlines=True)
switch = True
return switch
def get_data(cmd: str):
try:
p = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True)
return p.stdout.readlines()
except:
sys.exit()
def get_obj(ns: str,res: str,args='x'):
d = {'s':"Service",'i':"Ingress"}
cmd = f"kubectl {KUBECTL_OPTIONS} -n "+ns+" get pod "+res+" -o jsonpath='{.metadata.ownerReferences[0].kind}'"
l1 = res.split('-')
l2 = get_data(cmd)
obj = l2[0] if l2 else "Pod"
if obj in ("ReplicaSet","Deployment"):
if len(res) == 63:
del l1[-1:]
else:
del l1[-2:]
obj = "Deployment"
elif obj in ("StatefulSet","DaemonSet"):
del l1[-1:]
elif obj in ("Job"):
if '--' in res:
del l1[-3:]
else:
del l1[-1:]
name = ('-').join(l1)
if args[-1] in d.keys():
obj = d[args[-1]]
return obj,name
def get_feature(ns_list: list):
P = 177
MOD = 192073433
string_hashes = []
max_string_length = 0
for string in ns_list:
hashes = [0]
for i in range(len(string)):
hashes.append((hashes[-1] * P + ord(string[i])) % MOD)
string_hashes.append(hashes)
max_string_length = max(max_string_length, len(string))
pows = [1]
for i in range(max_string_length + 1):
pows.append(pows[-1] * P % MOD)
sorted_indices = list(range(len(ns_list)))
sorted_indices = sorted(sorted_indices, key=lambda i: len(ns_list[i]))
disabled_hashes = set()
answers = [None for _ in ns_list]
for i in sorted_indices:
string = ns_list[i]
hashes = string_hashes[i]
hash_to_be_disabled = []
min_length = len(string) + 1
for x in range(len(string)):
for y in range(x, len(string)):
substr_hash = (hashes[y + 1] - hashes[x] * pows[y + 1 - x]) % MOD
substr_hash = (substr_hash + MOD) % MOD
hash_to_be_disabled.append(substr_hash)
if substr_hash not in disabled_hashes and min_length > (y - x + 1):
min_length = y - x + 1
answers[i] = (x, y)
disabled_hashes.update(hash_to_be_disabled)
d = {}
for i, (x, y) in enumerate(answers):
d[ns_list[i]] = ns_list[i][x: y + 1]
return d
def info_w(k8s_path: str,result_lines: list):
l = k8s_path.split('/')
if 'K8S' in l:
if not os.path.exists(ki_lock) and len(l) > l.index('K8S')+1:
k8s_dir = l[l.index('K8S')+1]
if ( home+"/.kube/" + k8s_dir ) in result_lines or ( home+"/.kube/kubeconfig-" + k8s_dir ) in result_lines:
k8s_str = k8s_dir
else:
k8s_str = '-'.join(k8s_dir.split('-')[0:-1])
if result_lines:
config = find_optimal(result_lines,k8s_str) if k8s_str else None
if config and os.path.exists(default_config) and config not in {default_config,os.path.realpath(default_config)}:
os.unlink(default_config)
os.symlink(config,default_config)
print("\033[1;95m{}\033[0m".format("[ "+config.split("/")[-1]+" ]"))
else:
print("\033[1;38;5;208m{}\033[0m".format("[ "+os.path.realpath(default_config).split("/")[-1]+" ]"))
else:
print("\033[1;38;5;208m{}\033[0m".format("[ "+os.path.realpath(default_config).split("/")[-1]+(" (lock)" if os.path.exists(ki_lock) else "")+" ]"))
else:
print("\033[1;32m{}\033[0m".format("[ "+os.path.realpath(default_config).split("/")[-1]+" ]"))
os.path.exists(ki_lock) and int(time.time()-os.stat(ki_lock).st_mtime) > 3600 and os.unlink(ki_lock)
os.path.exists(ki_current_ns_dict) and int(time.time()-os.stat(ki_current_ns_dict).st_mtime) > 300 and os.unlink(ki_current_ns_dict)
def info_k():
if os.path.exists(ki_pod_dict) and os.path.exists(ki_dict):
with open(ki_pod_dict,'r') as f1, open(ki_dict,'r') as f2:
dc1 = eval(f1.read())
dc2 = eval(f2.read())
for k in sorted(dc1):
print("{:<56}{:<32}{}".format(k,dc1[k][0],dc1[k][1]))
for k in sorted(dc2.items(),key=lambda d:d[1]):
print("{:<56}{}".format(k[0].split('/')[-1],k[1]))
def record(res: str,name: str,obj: str,cmd: str,kubeconfig: str,ns: str,config_struct: list):
l = os.environ['SSH_CONNECTION'].split() if 'SSH_CONNECTION' in os.environ else ['NULL','NULL','NULL']
USER = os.environ['USER'] if 'USER' in os.environ else "NULL"
HOST = l[2]
FROM = l[0]
key = kubeconfig+"/"+ns+"/"+("Pod" if obj in ('Deployment','StatefulSet','DaemonSet','ReplicaSet') else obj)
ki_file = time.strftime("%F",time.localtime())
with open(history+"/"+ki_file,'a+') as f: f.write( time.strftime("%F %T ",time.localtime())+"[ "+USER+"@"+HOST+" from "+FROM+" ---> "+kubeconfig+" ] " + cmd + "\n" )
dc = {}
if os.path.exists(ki_pod_dict) and os.path.getsize(ki_pod_dict) > 5:
with open(ki_pod_dict,'r') as f:
try:
dc = eval(f.read())
dc_key_set = set(i.split('/')[0] for i in list(dc.keys()))
kubeconfig_set = set(i.split('/')[-1] for i in config_struct[1])
for i in dc_key_set - kubeconfig_set:
for j in dc.keys():
if i == j.split('/')[0]:
dc.pop(j,None)
name_dc = dict(dc[key][1]) if key in dc else {}
name_dc[name] = name_dc[name] + 1 if name in name_dc else 1
name_dc = sorted(name_dc.items(),key = lambda name_dc:(name_dc[1], name_dc[0]),reverse=True)
if len(name_dc) > 5: del name_dc[5:]
dc[key] = [name,name_dc]
except:
os.unlink(ki_pod_dict)
else:
dc[key] = [name,[(name,1)]]
with open(ki_pod_dict,'w') as f: f.write(str(dc))
def analyze_cluster():
"""分析集群状态并生成报告"""
import json
import requests
from datetime import datetime
print("\033[1;93m正在分析集群状态...\033[0m")
# 收集集群信息
data = {
"timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"cluster_info": {},
"node_status": [],
"pod_status": {},
"resource_usage": {},
"events": []
}
try:
# 获取集群版本信息
try:
version_output = get_data(f"kubectl {KUBECTL_OPTIONS} version -o json")
if version_output:
version_json = version_output[0].strip()
data["cluster_info"]["version"] = json.loads(version_json)
except:
data["cluster_info"]["version"] = "无法获取版本信息"
# 获取节点状态
nodes = get_data(f"kubectl {KUBECTL_OPTIONS} get nodes -o wide")
if len(nodes) > 1: # 跳过标题行
for node in nodes[1:]:
node_info = node.split()
if len(node_info) >= 5:
data["node_status"].append({
"name": node_info[0],
"status": node_info[1],
"roles": node_info[2] if len(node_info) > 2 else "unknown",
"version": node_info[3] if len(node_info) > 3 else "unknown",
"internal_ip": node_info[5] if len(node_info) > 5 else "unknown"
})
# 获取所有命名空间的 Pod 状态
ns_list = get_data(f"kubectl {KUBECTL_OPTIONS} get ns --no-headers")
for ns in ns_list:
ns_name = ns.split()[0]
pods = get_data(f"kubectl {KUBECTL_OPTIONS} get pods -n {ns_name} --no-headers")
running = 0
failed = 0
pending = 0
for pod in pods:
status = pod.split()[2]
if status == "Running":
running += 1
elif status in ["Failed", "Error", "CrashLoopBackOff"]:
failed += 1
elif status == "Pending":
pending += 1
data["pod_status"][ns_name] = {
"total": len(pods),
"running": running,
"failed": failed,
"pending": pending
}
# 获取资源使用情况
for node in data["node_status"]:
try:
usage = get_data(f"kubectl {KUBECTL_OPTIONS} top node {node['name']}")
if len(usage) > 1: # 跳过标题行
usage_info = usage[1].split()
if len(usage_info) >= 5:
data["resource_usage"][node["name"]] = {
"cpu": usage_info[2],
"memory": usage_info[4]
}
except:
continue
# 获取最近事件
events = get_data(f"kubectl {KUBECTL_OPTIONS} get events --sort-by=.metadata.creationTimestamp")
if events:
data["events"] = [event.strip() for event in events[-5:]] # 最近5个事件
# 调用 AI API 分析数据
if not KI_AI_KEY:
raise Exception("请设置 KI_AI_KEY 环境变量")
# 准备发送给 AI 的提示信息
prompt = f"""请作为 Kubernetes 专家分析以下集群数据并生成简明扼要的健康状态报告:
集群信息:
- 时间戳: {data['timestamp']}
- 节点数量: {len(data['node_status'])}
- 命名空间数量: {len(data['pod_status'])}
节点状态:
{json.dumps(data['node_status'], indent=2, ensure_ascii=False)}
Pod 状态 (按命名空间):
{json.dumps(data['pod_status'], indent=2, ensure_ascii=False)}
资源使用情况:
{json.dumps(data['resource_usage'], indent=2, ensure_ascii=False)}
最近事件:
{json.dumps(data['events'], indent=2, ensure_ascii=False)}
请提供:
1. 集群整体健康状况评估
2. 发现的潜在问题
3. 资源使用建议
4. 优化建议
"""
response = requests.post(
f"{KI_AI_URL}",
headers={
"Authorization": f"Bearer {KI_AI_KEY}",
"Content-Type": "application/json"
},
json={
"model": KI_AI_MODEL,
"messages": [{
"role": "system",
"content": "你是一个经验丰富的 Kubernetes 集群分析专家。请基于提供的数据生成专业的分析报告。"
}, {
"role": "user",
"content": prompt
}],
"temperature": 0.3
}
)
if response.status_code == 200:
result = response.json()
print("\n\033[1;32m集群健康状态报告:\033[0m")
print(result["choices"][0]["message"]["content"])
else:
print(f"\033[1;31mAI API 调用失败: {response.status_code}\033[0m")
print(response.text)
except Exception as e:
print(f"\033[1;31m分析过程中出错: {str(e)}\033[0m")
def analyze_cluster_stream():
"""分析集群状态并生成报告"""
import json
import requests
from datetime import datetime
print("\033[1;93m正在分析集群状态...\033[0m")
# 收集集群信息
data = {
"timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"cluster_info": {},
"node_status": [],
"pod_status": {},
"resource_usage": {},
"events": []
}
try:
# 获取集群版本信息
try:
version_output = get_data(f"kubectl {KUBECTL_OPTIONS} version -o json")
if version_output:
version_json = version_output[0].strip()
data["cluster_info"]["version"] = json.loads(version_json)
except:
data["cluster_info"]["version"] = "无法获取版本信息"
# 获取节点状态
nodes = get_data(f"kubectl {KUBECTL_OPTIONS} get nodes -o wide")
if len(nodes) > 1:
for node in nodes[1:]:
node_info = node.split()
if len(node_info) >= 5:
data["node_status"].append({
"name": node_info[0],
"status": node_info[1],
"roles": node_info[2] if len(node_info) > 2 else "unknown",
"version": node_info[3] if len(node_info) > 3 else "unknown",
"internal_ip": node_info[5] if len(node_info) > 5 else "unknown"
})
# 获取所有命名空间的 Pod 状态
ns_list = get_data(f"kubectl {KUBECTL_OPTIONS} get ns --no-headers")
for ns in ns_list:
ns_name = ns.split()[0]
pods = get_data(f"kubectl {KUBECTL_OPTIONS} get pods -n {ns_name} --no-headers")
running = 0
failed = 0
pending = 0
for pod in pods:
status = pod.split()[2]
if status == "Running":
running += 1
elif status in ["Failed", "Error", "CrashLoopBackOff"]:
failed += 1
elif status == "Pending":
pending += 1
data["pod_status"][ns_name] = {
"total": len(pods),
"running": running,
"failed": failed,
"pending": pending
}
# 获取资源使用情况
for node in data["node_status"]:
try:
usage = get_data(f"kubectl {KUBECTL_OPTIONS} top node {node['name']}")
if len(usage) > 1:
usage_info = usage[1].split()
if len(usage_info) >= 5:
data["resource_usage"][node["name"]] = {
"cpu": usage_info[2],
"memory": usage_info[4]
}
except:
continue
# 获取最近事件
events = get_data(f"kubectl {KUBECTL_OPTIONS} get events --sort-by=.metadata.creationTimestamp")
if events:
data["events"] = [event.strip() for event in events[-7:]]
# 调用 AI API 分析数据
if not KI_AI_KEY:
raise Exception("请设置 KI_AI_KEY 环境变量")
# 准备发送给 AI 的提示信息
prompt = f"""请作为 Kubernetes 专家分析以下集群数据并生成简明扼要的健康状态报告:
集群信息:
- 时间戳: {data['timestamp']}
- 节点数量: {len(data['node_status'])}
- 命名空间数量: {len(data['pod_status'])}
节点状态:
{json.dumps(data['node_status'], indent=2, ensure_ascii=False)}
Pod 状态 (按命名空间,不含 Completed):
{json.dumps(data['pod_status'], indent=2, ensure_ascii=False)}
资源使用情况:
{json.dumps(data['resource_usage'], indent=2, ensure_ascii=False)}
最近事件:
{json.dumps(data['events'], indent=2, ensure_ascii=False)}
请提供:
1. 集群整体健康状况评估
2. 发现的潜在问题
3. 资源使用建议
4. 优化建议
"""
print("\n\033[1;32m集群健康状态报告:\033[0m")
response = requests.post(
f"{KI_AI_URL}",
headers={
"Authorization": f"Bearer {KI_AI_KEY}",
"Content-Type": "application/json"
},
json={
"model": KI_AI_MODEL,
"messages": [{
"role": "system",
"content": "你是一个经验丰富的 Kubernetes 集群分析专家。请基于提供的数据生成专业的分析报告。(忽略 Completed 状态的容器)"
}, {
"role": "user",
"content": prompt
}],
"temperature": 0.3,
"stream": True
},
stream=True
)
if response.status_code == 200:
for line in response.iter_lines():
if line:
try:
json_response = json.loads(line.decode('utf-8').split('data: ')[1])
if 'choices' in json_response and len(json_response['choices']) > 0:
content = json_response['choices'][0].get('delta', {}).get('content', '')
if content:
print(content, end='', flush=True)
except:
continue
print()
else:
print(f"\033[1;31mAI API 调用失败: {response.status_code}\033[0m")
print(response.text)
except Exception as e:
print(f"\033[1;31m分析过程中出错: {str(e)}\033[0m")
def chat_with_ai(question):
"""与 AI 进行对话，支持各种 IT 运维、开发相关需求"""
import json
import requests
import re
import os
from datetime import datetime
if not question:
print("\033[1;31m请输入问题内容\033[0m")
return
if not KI_AI_KEY:
print("\033[1;31m错误: 请设置 KI_AI_KEY 环境变量\033[0m")
return
try:
print("\033[1;93m思考中...\033[0m")
# 让 AI 分析问题类型和是否需要生成文件
pre_check_response = requests.post(
f"{KI_AI_URL}",
headers={
"Authorization": f"Bearer {KI_AI_KEY}",
"Content-Type": "application/json"
},
json={
"model": KI_AI_MODEL,
"messages": [{
"role": "system",
"content": """你是一个 IT 专家。请分析用户的问题并返回 JSON 格式的结果：
{
"type": "配置|代码|脚本|其他",
"needs_file": true|false,
"language": "yaml|k8s|golang|python|shell|rust|...",
"description": "简短描述这个问题的类型和目的"
}"""
}, {
"role": "user",
"content": question
}],
"temperature": 0.1,
}
)
question_type = {"needs_file": False}
if pre_check_response.status_code == 200:
try:
question_type = json.loads(pre_check_response.json()['choices'][0]['message']['content'])
except:
pass
# 根据问题类型设置不同的系统提示
if question_type["needs_file"]:
system_prompt = f"""你是一个专业的 IT 专家。对于{question_type["description"]}类问题：
1. 首先用 JSON 格式提供文件元数据：
```json
{{
"files": [
{{
"name": "文件名（不含路径和时间戳）",
"type": "{question_type["language"]}",
"description": "这个文件的用途描述"
}}
]
}}
```
2. 然后解释主要实现思路和关键点
3. 提供完整的代码或配置，使用对应的代码块标记，例如：
```{question_type["language"]}
// 代码内容
```
4. 最后提供使用说明或测试方法
注意：
- 文件名应该反映代码或配置的用途
- 代码需要包含必要的注释
- 配置文件需要包含关键配置项的说明"""
else:
system_prompt = "你是一个专业的 IT 专家，请针对问题提供详细的解答和建议。"
response = requests.post(
f"{KI_AI_URL}",
headers={
"Authorization": f"Bearer {KI_AI_KEY}",
"Content-Type": "application/json"
},
json={
"model": KI_AI_MODEL,
"messages": [{
"role": "system",
"content": system_prompt
}, {
"role": "user",
"content": question
}],
"temperature": 0.3,
"stream": True
},
stream=True
)
if response.status_code == 200: