def new_batch():
batchID = request.args.get('batchID', '')
date = request.args.get('date', '')
outpressure = request.args.get('outpressure', '')
optional_records = request.args.get('optional_records', '')
new_model = request.args.get('new_model', '')
new_ele_str = ' '.join([date, batchID, outpressure, optional_records])
donels = clean_line(new_ele_str, datesep = '-')
# 处理模具名问题
if new_model == 'n':
modelname = 'm' + donels[1]
donels.insert(3, modelname)
donels.insert(4, 1)
batch = Batch(donels)
else:
print donels
batch = Batch(donels)
batchtype = batch.get_batchtype()
modelname, modeltimes = sql.query_modelinfo(batchtype)
batch.update_modelinfo(modelname, modeltimes)
print 'batchtype is ', batch.get_batchtype()
if spc_list.new_batch(batch, batch.get_batchtype()):
flash(u'成功创建新批次！')
else:
flash(u'无法创建新批次！')
return redirect('/process_control?batchtype=%s'%batch.get_batchtype())
def batch_analysis():
#create Batch class
batchinfo = request.args['batchinfo']
donels = clean_line(batchinfo)
batch = Batch(donels)
# plot production process records
records_plot = batch.process_plot()
test_hist = batch.history_test_hist()
scatter_plot = batch.history_scatter_subplot()
hist_plot = batch.history_hist_subplot()
# make the stat summary table
col1 = [u'生产日期', u'机床压力', u'平均爆破压力（Mpa）', u'标准偏差值', u'波动范围', u'平均移动极差', u'工序能力指数Cp', u'上限不合格率（>3.6）', u'下限不合格率(<3.0)', u'批次不合格率']
stat_data = batch.stat_info()
return render_template('show_batch.html', hist_plot = hist_plot, scatter_plot = scatter_plot, test_hist = test_hist, stat_data = stat_data, records_plot = records_plot, col1 = col1, donels = donels, batch = batch, info = info, nav_list = nav_list, nav_url = nav_url)
