def showTable(self, frame, model, label=''):
"""Show model in table"""
tf = LabelFrame(frame, text=label)
tf.pack(fill=BOTH, expand=1)
mtable = TableCanvas(tf, model=model, cellwidth=70, editable=False)
mtable.createTableFrame()
return mtable
def loadTable(self, dictdata=None, model=None):
if model != None:
self.model = model
else:
self.model = DictModel(dictdata)
self.model.setSortOrder(0)
self.table = TableCanvas(self.tframe, self.model)
self.table.createTableFrame()
return
def viewAll(self, parent=None):
"""Display all meta data in a table"""
from PEATDB.Tables import TableCanvas
from PEATDB.TableModels import TableModel
tp = Toplevel(master=parent)
tframe = Frame(tp)
tframe.pack()
m = TableModel()
m.importDict(self.data)
table = TableCanvas(tframe, model=m)
table.createTableFrame()
return
def updateJobsTable(self):
"""Show table for current jobs list"""
self.checkJobsDict()
jobdict = self.DB.meta.peatsa_jobs
M = TableModel()
#open job log from file
f = open('jobstates.log', 'r')
jl = pickle.load(f)
for j in jobdict:
jobid = jobdict[j]
try:
M.addRecord(j,
state=jl[jobid]['State'],
date=jl[jobid]['Date'])
except:
M.addRecord(j, state='Not in DB')
self.jobstable = TableCanvas(self.tf,
model=M,
height=100,
editable=False)
self.jobstable.createTableFrame()
self.log.yview('moveto', 1)
f.close()
return
