bug fix and data-enhancement

data-collector
Steve L. Nyemba 6 years ago
parent ccc52fdaea
commit 3e65591edf

@ -76,11 +76,11 @@ class Collector :
id = SYS_ARGS['id'] if 'id' in SYS_ARGS else os.environ['HOSTNAME'] id = SYS_ARGS['id'] if 'id' in SYS_ARGS else os.environ['HOSTNAME']
headers = {"key":key,"id":id,"context":args['context'],"content-type":"application/json"} headers = {"key":key,"id":id,"context":args['context'],"content-type":"application/json"}
body = args['data'].to_json(orient='records') body = args['data'].to_json(orient='records')
if args.shape[0] > 0 : if args['data'].shape[0] > 0 :
r = self.httpclient.post(url,headers=headers,data=body) r = self.httpclient.post(url,headers=headers,data=body)
Logger.log(action="post."+args['context'],value=r.status_code) Logger.log(action="post."+args['context'],value=r.status_code)
else: else:
Logger.log(action="data.error",value="no data") Logger.log(action="data.error",value="no data :: "+args['context'])
def run(self): def run(self):
""" """

@ -86,11 +86,21 @@ class Apps(SmartTop) :
r = pd.DataFrame() r = pd.DataFrame()
if 'filter' in args : if 'filter' in args :
pattern = "|".join(args['filter']) pattern = "|".join(args['filter'])
r = df[df.name.str.contains(pattern)] i = df.cmd.str.contains(pattern)
r = df[i]
ii= (1 + np.array(i)*-1) == 1
other = pd.DataFrame(df[ii].sum()).T
other.user = other.name = other.status = other.cmd = other.args = 'other'
other.started = other.pid = -1
other = other[other.columns[1:]]
for name in args['filter'] : for name in args['filter'] :
filter = "name == '"+name+"'" i = r.cmd.str.contains(str(name),case=False,na=False)
if r.query(filter).size == 0 : if i.sum() == 0:
r = r.append(self.empty(name)) r = r.append(self.empty(name),sort=False)
else :
r.loc[i,'name'] = name
r = r.append(other,sort=False)
r.index = np.arange(r.shape[0])
return r return r
except Exception,e: except Exception,e:
print (e) print (e)
@ -133,7 +143,10 @@ class Folders(SmartTop):
# #
# If the folder does NOT exists it should not be treated. # If the folder does NOT exists it should not be treated.
# #
r = pd.DataFrame(self._get(path)) rows = self._get(path)
r = pd.DataFrame([{"name":path,"files":r.shape[0],"age_in_days":r.age.mean(),"size_in_kb":r.size.sum()}]) if len(rows) > 0 :
_out = _out.append(r) print rows
r = pd.DataFrame(rows)
r = pd.DataFrame([{"name":path,"files":r.shape[0],"age_in_days":r.age.mean(),"size_in_kb":r.size.sum()}])
_out = _out.append(r)
return _out return _out

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