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author | Sebastian Reichel <sre@ring0.de> | 2012-07-24 02:31:38 +0200 |
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committer | Sebastian Reichel <sre@ring0.de> | 2012-07-24 02:31:38 +0200 |
commit | 721b2a224469723f46e4577b9d75f92cf934fa6e (patch) | |
tree | cd485eeddba48bcdc803637a39da5b49be8484ce | |
parent | a7c0884d7418aad725b76ae83b18d281f1b324fa (diff) | |
download | serial-barcode-scanner-721b2a224469723f46e4577b9d75f92cf934fa6e.tar.bz2 |
add new purchases per day graph
-rwxr-xr-x | invoice/graph/graphs.py | 66 |
1 files changed, 60 insertions, 6 deletions
diff --git a/invoice/graph/graphs.py b/invoice/graph/graphs.py index 051a455..5fdaee3 100755 --- a/invoice/graph/graphs.py +++ b/invoice/graph/graphs.py @@ -15,7 +15,7 @@ def TortendiagramUser(): cairoplot.pie_plot("tortendiagram", data, 640, 480) -def TortendiagramUserRanking(): +def BalkendiagramUserRanking(): data = {} names = [] @@ -57,7 +57,7 @@ def Lagerbestand(category): day = 24 * 60 * 60 now = int(time.time()) - + dates = [] dt = datetime.datetime.fromtimestamp(now) dates.append("%04d-%02d-%02d" % (dt.year, dt.month, dt.day)) @@ -93,6 +93,8 @@ def Lagerbestand(category): query = "name LIKE '%Gouda%' OR name LIKE '%Chipsfrisch%' OR name LIKE '%Sesamsticks%'" elif category == "schoko": query = "name = 'Ü-Ei' OR name LIKE '%Tender%' OR name = 'Knoppers' OR name LIKE '%m&m%'" + elif category == "balisto": + query = "name LIKE '%Balisto%'" else: return @@ -101,7 +103,7 @@ def Lagerbestand(category): for row in c: data[row[0]] = [int(row[1])] translation[row[2]] = row[0] - + current = now currentid = 1 while current > (now - 21 * day): @@ -122,7 +124,7 @@ def Lagerbestand(category): current -= day currentid += 1 - + for k, v in data.iteritems(): data[k].reverse() dates.reverse() @@ -130,12 +132,64 @@ def Lagerbestand(category): c.close() cairoplot.dot_line_plot("lagerbestand_%s" % category, data, 640, 480, series_colors = colors, x_labels = dates, y_title = "Anzahl", axis=True, grid=True, series_legend = True) +def TotalPurchasesPerDay(): + day = 24 * 60 * 60 + now = int(time.time()) + + colors = [ + "black", + ] + + dates = [] + dt = datetime.datetime.fromtimestamp(now) + dates.append("%04d-%02d-%02d" % (dt.year, dt.month, dt.day)) -data = [ "getraenke", "haribo", "riegel", "other", "schoko" ] + connection = sqlite3.connect('shop.db') + c = connection.cursor() + query = "SELECT SUM(memberprice) FROM purchases purch, prices WHERE purch.product = prices.product AND purch.user > 0 AND purch.timestamp > ? AND purch.timestamp < ? AND prices.valid_from = (SELECT valid_from FROM prices WHERE product = purch.product AND valid_from < purch.timestamp ORDER BY valid_from DESC LIMIT 1)" + + current = now + data = [] + while current > (now - 42 * day): + c.execute(query, (current-day, current)) + + dt = datetime.datetime.fromtimestamp(current - day) + dates.append("%04d-%02d-%02d" % (dt.year, dt.month, dt.day)) + + for row in c: + amount = row[0] or 0 + data.append(int(amount)/100.0) + + current -= day + + data.reverse() + dates.reverse() + + c.execute(query, (0, now)) + total = c.fetchone()[0] + + dt = datetime.datetime.fromtimestamp(now) + start = dt.replace(hour = 8, minute = 0, second = 0, day = 16) + if start > dt: + start = start.replace(month = start.month - 1) + c.execute(query, (start.strftime("%s"), now)) + month = c.fetchone()[0] + + c.close() + + print "Total sales: %.2f€" % (total / 100.0) + print "Total sales this month: %.2f€" % (month / 100.0) + print "Average per day (last 42 days): %.2f€" % (sum(data)/len(data)) + + cairoplot.dot_line_plot("total_sales_per_day", data, 640, 480, series_colors = colors, x_labels = dates, y_title = "Euro", axis=True, grid=True) TortendiagramUser() +BalkendiagramUserRanking() + TortendiagramProduct() -TortendiagramUserRanking() +data = [ "getraenke", "haribo", "riegel", "other", "schoko", "balisto" ] for x in data: Lagerbestand(x) + +TotalPurchasesPerDay() |