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Added support for .txt

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This commit is contained in:
Sheppy
2018-02-08 17:49:02 +01:00
committed by atlantispc_sheppy
parent a4a259fefc
commit ab24cb843f
2 changed files with 22 additions and 1 deletions
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2
frontend_utils.py
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@@ -246,7 +246,7 @@ def open_file():
return f return f
path=None path=None
path=tkinter.filedialog.askopenfilename(filetypes=(("DBF/XLS Files",("*.DBF","*.dbf","*.xls","*.XLS")),("All Files","*.*"))) path=tkinter.filedialog.askopenfilename(filetypes=(("DBF/XLS Files",("*.DBF","*.dbf","*.xls","*.XLS","*.txt","*.TXT")),("All Files","*.*")))
if path == None or path=="": if path == None or path=="":
print("Error: No file selected!") print("Error: No file selected!")
return None return None

21
input_backend.py
View File

@@ -103,6 +103,8 @@ def read_in_file(path,backend=None):
dbfread(path,datapoints,pt,ph,pd) dbfread(path,datapoints,pt,ph,pd)
elif path.endswith(".xls") or path.endswith(".XLS"): elif path.endswith(".xls") or path.endswith(".XLS"):
csvread(path,datapoints,pt,ph,pd) csvread(path,datapoints,pt,ph,pd)
elif path.endswith(".txt"):
csvread_txt(path,datapoints,pt,ph,pd)
else: else:
raise NotImplementedError("Cannot determine filetype, cannot continue. Exit.") raise NotImplementedError("Cannot determine filetype, cannot continue. Exit.")
@@ -131,6 +133,25 @@ def csvread(path,datapoints,pt,ph,pd):
plot_timeutils.time_from_csv,timeformat="%d-%m-%Y%H:%M:%S") plot_timeutils.time_from_csv,timeformat="%d-%m-%Y%H:%M:%S")
print("Info: Ignored %d lines at beginning of file"%count) print("Info: Ignored %d lines at beginning of file"%count)
def csvread_txt(path,datapoints,pt,ph,pd):
count = 0;
with open(path) as f:
for l in f:
if any(s in l for s in ["Logger","Datenquelle","Sensortyp","Einheit","Daten"]):
count += 1
continue
else:
row_arg = list(map(lambda s:s.replace(" ","").replace(",","."),l.split("\t")))
row = {"temp":None,"hum":None,"taupunkt":None,"datetime":None}
row["datetime"] = "%s-%s-%s_%s:%s"%(row_arg[0],row_arg[1],row_arg[2],row_arg[3],row_arg[4])
print(row["datetime"])
row["temp"] = float(row_arg[6])
row["hum"] = float(row_arg[7])
row["taupunkt"] = 0.0
parse_line(datapoints,row,'datetime',[ ('temp',pt) , ('hum',ph) , ('taupunkt',pd) ],\
plot_timeutils.time_from_csv,timeformat="%d-%m-%Y_%H:%M")
print("Info: Ignored %d lines at beginning of file"%count)
def check_read_in(datapoints): def check_read_in(datapoints):
good = False good = False
for v in datapoints.values(): for v in datapoints.values():