diff --git a/update.py b/update.py
index f18f48a..9b7e5c4 100755
--- a/update.py
+++ b/update.py
@@ -1,74 +1,75 @@
-#!/usr/bin/python
+#!/usr/bin/env python
 
 import csv
-import lzma
+from backports import lzma
 import sys
 import os
 from datetime import date
 
 n_returns = 600
-sensorlist = [1,2,3,4,5,6,7,8,9,11,12,13,14,15,16,17,18,19,20]
+sensorlist = [1,2,4,8,11,12,13,14,15,16,17,18,19,20]
+
+frm_s = sys.argv[1]
+to_s  = sys.argv[2]
+#div = sys.argv[3]
+
+frm_y, frm_m, frm_d = [int(x) for x in frm_s.split('/')]
+to_y,  to_m,  to_d  = [int(x) for x in  to_s.split('/')]
 
 
-frm = sys.argv[1]
-to  = sys.argv[2]
-div = sys.argv[3]
-
-frm_y, frm_m, frm_d = [int(x) for x in frm.split('/')]
-to_y,  to_m,  to_d  = [int(x) for x in  to.split('/')]
-
-frm = date(frm_y, frm_m, frm_d)  # align for naughty input
-to  = date(to_y, to_m, to_d)     # align for naughty input
- 
-# retreive from database
-# first, calculate culling idx
+# first, calculate culling step
+frm = date(frm_y, frm_m, frm_d)
+to  = date(to_y, to_m, to_d)
+frm_s = frm.strftime("%Y/%m/%d 00:00")  # refine input
+to_s = to.strftime("%Y/%m/%d 23:59")    # refine input
 samples_per_day = 24 * 6
 ndays = (to - frm).days * samples_per_day
 step  = int(ndays / n_returns) + 1
 
+# retreive from database
 result = []
 while frm.year < to.year or frm.month <= to.month:
-	tmplist = []
-	for i in sensorlist:
-		no = str(i)
-		fname = "/home/tutimura/public_html/cgi-bin/ondotori/data/"+ no+
-		        "/"+frm.strftime("%Y%m")+".csv.xz"
-		try:
-			xz = lzma.LZMAFile(fname)
-			r1 = csv.DictReader(xz, fieldnames=["datetime", "temp-"+no, "humid-"+no])
-			frm_s = frm.strftime("%Y/%m/%d 00:00")
-			to_s  = to.strftime("%Y/%m/%d 00:00")
-			tmp=filter(lambda x: x["datetime"] >= frm.strftime("%Y/%m/%d") + " 00:00" 
-				and x["datetime"] <= to + " 23:59", r1)
-			if tmp == []: continue
-			tmplist.append(tmp[::step])
-		except IOError:
-			break
-	result += [x for s in zip(*tmplist) for x in s]
+    tmplist = []
 
-	frm_m += 1
-	if frm_m > 12:
-		frm_y += 1
-		frm_m = 1
+    for i in sensorlist:
+        no = str(i)
+        fname = "data/"+ no+ frm.strftime("/%Y%m.csv.xz")
+        try:
+            xz = lzma.LZMAFile(fname)
+            r1 = csv.DictReader(xz, fieldnames=["datetime", "temp-"+no, "humid-"+no])
+            if frm.year == to_y and frm.month == to_m:
+                r1 = filter(lambda x: x["datetime"] <= to_s, r1)
+            elif frm.year == frm_y and frm.month == frm_m:
+                r1 = filter(lambda x: x["datetime"] >= frm_s , r1)
+            if r1 == []: continue
+            tmplist.append(r1)
+        except IOError:
+            break
+
+    result += [x for s in zip(*tmplist) for x in s]
+
+    if frm.month == 12:
+        frm = date(frm.year + 1, 1, 1)
+    else:
+        frm = date(frm.year, frm.month + 1, 1)
 
 # align on 10 minite
 for i in range(len(result)):
-	result[i]["datetime"] = result[i]["datetime"][:-1]+"0"
-	
-#result.sort(key=lambda x: x["datetime"])  # maybe not needed
+    result[i]["datetime"] = result[i]["datetime"][:-1]+"0"
+
+result.sort(key=lambda x: x["datetime"])  # maybe not needed
 
 # gather all sensors
 prev=""
 fa = []
 for entry in result:
-	if entry["datetime"] == prev:
-		fa[-1] = {k: v for dic in [entry, fa[-1]]
-			for k, v in dic.items()}
-	else:
-		fa.append(entry)
-	prev = entry["datetime"]
+    if entry["datetime"] == prev:
+        fa[-1] = {k: v for dic in [entry, fa[-1]]
+                for k, v in dic.items()}
+    else:
+        fa.append(entry)
+        prev = entry["datetime"]
 
 # cull data to fit about 2000 entries
-print (fa)
-print fa
+print fa[::step]