def query(s,content=u'',title=None,type="query",colour=0x888888):
if not title:title=s.TitleName
s.super=2
s.__imgOld.blit(s.__img)
s.__img.clear(0)
s.__img.blit(s.__imgOld,mask=s.__mask)
s.title,s.content,s.type,s.colour=title,content,type,colour
s.choice,s.field=0,None
if s.type=="query":
s.list=akntextutils.wrap_text_to_array(s.content,"dense",200)
if len(s.list)<=1:
list=s.list+(u'',)
elif len(s.list)>5:
list=s.list[:5]
else:
list=s.list
else:
list,s.list=[0]*4,[0]*4
s.__drawQuery(list)
s.__lock.wait()
s.__img.blit(s.__imgOld)
s.__redraw()
s.super=0
del title,s.title,s.list,content,s.content,s.type,type,s.field
return s.choice
def start(s,
resource,
callback=lambda: None,
func_delete=lambda: None,
stop_callback=lambda: None,
func_vector=lambda: None):
s.y, s.z = 0, 0
y = 0
s.resource = resource
s.callback = callback
s.func_delete = func_delete
s.stop_callback = stop_callback
s.func_vector = func_vector
if not s.resource:
return None
s.list = akntextutils.wrap_text_to_array(s.resource, 'annotation',
s.size[0] - 25)
s.lenlist = len(s.list)
s.max_str_display = s.size[1] / 20
s.imgsize = (s.size[0] - 10, min(s.max_str_display * 20,
s.lenlist * 20))
try:
del s.img
except AttributeError:
pass
s.img = Image.new(s.imgsize)
s.capture.keys = [
63495, 63496, 63497, 63498, 63557, 63554, 63555, 35, 42, 63586, 8
] + range(48, 58)
s.capture.forwarding = 0
aw.app.focus = s.focus
s.capture.start()
s.picture()
def note(s, content, title=None, waitTime=1):
if not title: title = s.TitleName
s.super = 1
s.__imgOld.blit(s.__img)
s.__img.clear(0)
s.__img.blit(s.__imgOld, mask=s.__mask)
list = akntextutils.wrap_text_to_array(content, "dense", 200)
if len(list) <= 1: list += (u'', )
elif len(list) > 6: list = list[:6]
s.__img.polygon(s.rim((13, 130, 227, 160 + len(list) * 25)),
fill=0xa6f9f8)
s.__img.polygon(s.rim((13, 130, 227, 160)), fill=0x2ad8ea)
s.__img.line((14, 158, 225, 158), 0xffffff, width=2)
s.__img.text(
(120 - s.__img.measure_text(title,
("dense", 20))[0][2] / 2.0, 155),
title, 0x0, ("dense", 20, FONT_BOLD | FONT_ANTIALIAS))
for i in range(len(list)):
s.__img.text((20, 180 + i * 25), list[i], 0x0,
("dense", 18, FONT_ANTIALIAS))
s.__redraw()
e32.ao_sleep(waitTime)
s.__img.blit(s.__imgOld)
s.__redraw()
s.super = 0
def start(s, resousce):
try:
y = aw.app.body.pos2xy(aw.app.body.get_pos())[1]
except AttributeError:
return None
s.y, s.z = 0, 0
s.resousce = resousce
if not s.resousce:
return None
elif type(s.resousce) == type([]) or type(s.resousce) == type(()):
s.mode = 'list'
s.list = []
for t in s.resousce:
a = s.imgnone.measure_text(t[0],
'dense',
maxwidth=s.size[0] - 25)[2]
if a < len(t[0]):
t[0] = '%s%s' % (t[0][:a - 1], u'...')
s.list.append(t[0])
elif type(s.resousce) == type(u''):
s.list = akntextutils.wrap_text_to_array(s.resousce, 'dense',
s.size[0] - 25)
s.mode = 'text'
else:
return None
s.lenlist = len(s.list)
center = s.size[1] / 2
if aw.app.screen == 'normal':
y += s.layout[1][1]
if y > center + 8:
s.max_str_display = (y - 17) / 16
s.imgsize = (s.size[0] - 10,
min(s.max_str_display * 16, s.lenlist * 16))
s.window_position = 5, 5
else:
s.max_str_display = (s.size[1] - y - 8) / 16
s.imgsize = (s.size[0] - 10,
min(s.max_str_display * 16, s.lenlist * 16))
s.window_position = 5, max(y + 2, s.size[1] - s.imgsize[1] - 5)
try:
del s.img
except AttributeError:
pass
s.img = Image.new(s.imgsize)
if s.mode == 'list':
s.capture.keys = [63497, 63498, 63557, 63554, 63555]
elif s.mode == 'text':
s.capture.keys = [
63495, 63496, 63497, 63498, 63557, 63554, 63555, 35, 42, 63586
] + range(48, 58)
s.capture.forwarding = 0
aw.app.focus = s.focus
s.capture.start()
s.picture()
def splitLines(s,content,width=200): return akntextutils.wrap_text_to_array(content,"dense",width)
from akntextutils import wrap_text_to_array
import appuifw, e32
def cn(x):
return x.decode("utf-8")
appuifw.app.body = canvas = appuifw.Canvas()
lines = wrap_text_to_array(cn("这是使用了帖子中介绍的方法后的效果。文字自动分句显示了。"), "dense", 220)
#其中220表示每句话的长度，达到该值后即换行
x, y = 10, 10
#设定文字开始的坐标为(10,10)
for line in lines:
y += 15
#这里是换行时改变的距离，数值过小会导致文字重叠，你也可以改变x或者同时改变x,y以实现不同效果
canvas.text((x, y), line, font="dense")
canvas.text((10, 100), cn("这是未使用帖子中介绍的方法的效果。"), font="dense")
e32.Ao_lock().wait()
def to_array(content, dense, width):
return akntextutils.wrap_text_to_array(content, dense, width)