def addLabel(self,
contenu,
xy_pos=(0, 0),
alr_id=-1,
vis=True,
font_name=None,
font_size=30,
group=None,
anchor=('left', 'bottom'),
color=(255, 255, 255, 255)):
if alr_id == -1:
id = utils.get_id('lbl')
self.ids.append(id)
else:
id = alr_id
if not font_name:
font_name = self.font
anchor_x, anchor_y = anchor
#group = self.groups.createGroup(['hud'])
self.labels[id] = pyglet.text.Label(contenu,font_name=font_name,font_size=font_size,group=group, \
batch=self.textManager.batch,anchor_x= anchor_x,anchor_y= anchor_y,color=color)
self.labels[id].x, self.labels[id].y = xy_pos
self.unhide(id, not vis)
#self.labels[id].visible = vis
return id
def addSpr(self, textid, x, y, name=utils.get_id('spc')):
thg = pyglet.sprite.Sprite(self.manager.textures[textid])
thg.position = x, y
self.to_draw[name] = thg
return name
def loadIm(self, name, path2):
path3 = '/item/'
id = utils.get_id('img')
img = pyglet.image.load(self.path + path3 + path2)
self.textures[id] = img
self.ids.append(id)
return id
def build_type_dict(list_dict_results):
dict_column_dataset = defaultdict(list)
for l in list_dict_results:
for k, v in l["columns"].items():
if " " in k:
continue
l["file_id"] = get_id(l["file"])
for v2 in v:
dict_column_dataset[v2].append((l["file_id"], k))
return dict_column_dataset
def columns_extractor(file_path, detective_df=None, datasets_types_dict=None):
sep = ","
encoding = "utf8"
dataset_id = get_id(file_path)
# Try to get encoding and separator
if detective_df is not None:
detected_info = detective_df[detective_df.file_id == dataset_id]
if len(detected_info):
sep = detected_info.separator.item()
if not sep:
sep = "\t"
encoding = detected_info.encoding.item()
# Try to get the columns detected by csv_detective
detected_columns = {}
if datasets_types_dict and dataset_id in datasets_types_dict:
detected_columns = datasets_types_dict[dataset_id]
# Try to open the file
try:
dataset_df = pd.read_csv(file_path, encoding=encoding, sep=sep)
except Exception as e:
logger.error(e)
logger.debug("\t" + file_path)
return 0
dataset_dict = dataset_df.apply(
lambda x: list(set(x.dropna()))[:10]).to_dict()
csv_detected_dict = {
"csv_detected": [
detected_columns[d] if d in detected_columns else ""
for d in dataset_dict.keys()
]
}
new_df = {
"columns": list(dataset_dict.keys()),
"sample": list(dataset_dict.values()),
"human_detected": [""] * len(dataset_dict)
}
new_df.update(csv_detected_dict)
new_df.update({"id": [dataset_id] * len(dataset_dict)})
return pd.DataFrame(new_df)
def addLabel(self,
text,
font_name,
font_size,
x,
y,
name=utils.get_id('spc'),
color=(0, 0, 0, 255)):
thg = pyglet.text.Label(text,
font_name=font_name,
font_size=font_size,
anchor_x='center',
color=color,
x=x,
y=y)
self.to_draw[name] = thg
return name
def loadImSeq(self, name, path2, sizex, sizey):
path3 = '/item/'
img = pyglet.image.load(self.path + path3 + path2)
textures = pyglet.image.ImageGrid(img, sizex // self.size_tile,
sizey // self.size_tile)
ids = []
for txt in textures:
id = utils.get_id('text')
self.textures[id] = txt
if name == 'ground':
self.rawdata[id] = txt.get_data('RGBA',
txt.width * len('RGBA'))
self.ids.append(id)
ids.append(id)
return ids
def addSpr(self,
textid,
xy_pos=(0, 0),
alr_id=-1,
vis=True,
static=False,
eff=False):
if alr_id == -1:
id = utils.get_id('spr')
self.ids.append(id)
else:
id = alr_id
if static:
self.static_sprites[id] = pyglet.sprite.Sprite(
self.textManager.textures[textid],
batch=self.textManager.batch)
self.static_sprites[id].position = xy_pos
self.static_sprites[id].visible = vis
elif eff:
self.eff_sprites[id] = pyglet.sprite.Sprite(
self.textManager.textures[textid],
batch=self.textManager.batch)
self.eff_sprites[id].position = xy_pos
self.eff_sprites[id].visible = vis
else:
self.sprites[id] = pyglet.sprite.Sprite(
self.textManager.textures[textid],
batch=self.textManager.batch)
self.sprites[id].position = xy_pos
self.sprites[id].visible = vis
#self.detect()
return id
def addThg(self, thg, name=utils.get_id('spc')):
self.to_draw[name] = thg
return name