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GUI-Lasagne-L1 / scripts /make_dom.py
huangzhiyuan's picture
update scripts for parsing the data
e41d92c verified
import os
import os.path as osp
import json
import random
import transformers
from tqdm import tqdm
from multiprocessing import Pool
from functools import partial
from data_class import domNode, nodeBbox
MAX_TOKEN_LEN = 800
MIN_TOKEN_LEN = 200
MAX_IoU = 0
HTML2BBOX_TEMPLATE = [
"Where is the given dom tree?",
# Other template questions here...
]
BBOX2HTML_TEMPLATE = [
"Can you give me a description of the region <objs> in image?",
# Other template questions here...
]
class NodewithHtml(domNode):
def __init__(self, id, info=None, children=None, father=None, tokenizer=None, img_w=None, img_h=None, task=""):
super().__init__(id, info, children, father, tokenizer, img_w=img_w, img_h=img_h, task="")
self.dom_xml = self.get_dom_xml(mode="dom_xml")
self.dom_xml_with_bbox = self.get_dom_xml(mode="dom_xml_with_bbox")
def bbox2str(self) -> str:
x1_rel = round(max(0, (self.info.bbox.x1 / IMG_W)) * 1000)
y1_rel = round(max(0, (self.info.bbox.y1 / IMG_H)) * 1000)
x2_rel = round(min(0.999, (self.info.bbox.x2 / IMG_W)) * 1000)
y2_rel = round(min(0.999, (self.info.bbox.y2 / IMG_H)) * 1000)
coords = [x1_rel, y1_rel, x2_rel, y2_rel]
bbox_str = ["{:03}".format(coord) for coord in coords]
bbox_str = "[" + ", ".join(bbox_str) + "]"
return bbox_str
def center2str(self) -> str:
cx = round(max(0, min(0.999, self.info.bbox.cx / IMG_W)) * 1000)
cy = round(max(0, min(0.999, self.info.bbox.cy / IMG_H)) * 1000)
point = [cx, cy]
point_str = ["{:03}".format(p) for p in point]
point_str = "[" + ", ".join(point_str) + "]"
return point_str
def node2xml_withbbox(self) -> str:
text = self.info.text
bbox_str = self.bbox2str()
if self.is_text() or self.has_single_text_child():
pseudo_html_line = f"<text box={bbox_str} content=\"{text}\">"
elif self.is_img():
if self.class_for_caption == 'img':
pseudo_html_line = f"<img box={bbox_str} alt={text}>"
elif self.class_for_caption == 'svg':
pseudo_html_line = f"<svg box={bbox_str} alt={text}>"
else:
return ""
elif self.info.func == 'type':
pseudo_html_line = f"<input box={bbox_str}, content=\"{text}\">"
else:
if self.is_leaf():
return ""
else:
pseudo_html_line = f"<plain box={bbox_str}>"
return pseudo_html_line
def node2xml(self) -> str:
text = self.info.text
bbox_str = self.bbox2str()
center_str = self.center2str()
if self.is_text() or self.has_single_text_child():
pseudo_html_line = f"<text content=\"{text}\">"
elif self.is_img():
if self.class_for_caption == 'img':
pseudo_html_line = f"<img alt={text}>"
elif self.class_for_caption == 'svg':
pseudo_html_line = f"<svg alt={text}>"
else:
return ""
elif self.info.func == 'type':
pseudo_html_line = f"<input center={center_str}, content=\"{text}\">"
else:
if self.is_leaf():
return ""
else:
pseudo_html_line = f"<plain>"
return pseudo_html_line
def get_dom_xml(self, mode: str):
xml_func = self.node2xml if mode == 'dom_xml' else self.node2xml_withbbox
self_dom_xml = xml_func()
if not self_dom_xml:
return ""
dom_xml_list = [self_dom_xml]
if not self.is_func_leaf():
for child in self.children:
child_xml = getattr(child, mode)
if not child_xml:
return ""
child_xml_list = child_xml.strip().split('\n')
child_xml_list = ['\t' + line for line in child_xml_list]
child_xml_fmt = '\n'.join(child_xml_list)
dom_xml_list.append(child_xml_fmt)
dom_xml = '\n'.join(dom_xml_list)
return dom_xml
tokenizer = transformers.AutoTokenizer.from_pretrained(
"path/to/your/tokenizer",
trust_remote_code=True,
)
def get_str_token_len(str_: str) -> int:
return len(tokenizer.encode(str_))
def collect_nodes(dom: NodewithHtml, node_list: list[NodewithHtml]) -> list:
if dom.is_valid:
node_list.append(dom)
for child in dom.children:
collect_nodes(child, node_list)
return node_list
def selece_node(xml: str, bbox: nodeBbox, selected_dom_list: list[nodeBbox]) -> bool:
if not xml:
return False
try:
token_len = get_str_token_len(xml)
except:
return False
if token_len > MAX_TOKEN_LEN or token_len < MIN_TOKEN_LEN:
return False
if selected_dom_list:
max_IoUs = bbox.get_max_IoU(selected_dom_list)
if max_IoUs > MAX_IoU:
return False
return True
def make_qa(node_list: list[NodewithHtml], img_path: str):
random.shuffle(node_list)
dom_xml_list = []
dom_xml_with_bbox_list = []
ann_list = []
for node in node_list:
if selece_node(node.dom_xml_with_bbox, node.info.bbox, dom_xml_with_bbox_list):
bbox2html_prompt = random.choice(BBOX2HTML_TEMPLATE)
prompt = bbox2html_prompt.replace("<objs>", node.bbox2str())
caption = node.dom_xml_with_bbox
ann = {
"image": img_path,
"conversations": [
{
"from": "human",
"value": f"<image>\n{prompt}"
},
{
"from": "gpt",
"value": caption
}
]
}
ann_list.append(ann)
dom_xml_with_bbox_list.append(node.info.bbox)
return ann_list
def write_ann(ann_list, ann_path):
ann_dir = osp.dirname(ann_path)
if not osp.exists(ann_dir):
os.mkdir(ann_dir)
with open(ann_path, 'a', encoding='utf-8') as f:
for i in range(len(ann_list)):
ann_list[i]['id'] = i
ann_str = json.dumps(ann_list[i], ensure_ascii=False)
f.write(ann_str + '\n')
def single_proc(data_dir, language, sub_dir):
sub_path = osp.join(data_dir, sub_dir)
screen_shot_dir = osp.join(sub_path, 'screenshot')
dom_sub_dir = 'dom_svg' if language == 'zh' else 'dom_svg_en'
dom_dir = osp.join(sub_path, dom_sub_dir)
html_dir = osp.join(sub_path, 'html')
html_path = osp.join(html_dir, 'html_0.html')
if not osp.exists(html_path):
return []
html_content = open(html_path).readline().strip()
if html_content in ['https://www.qq.com/', 'https://music.163.com/']:
return []
all_annotations = []
for img_file in os.listdir(screen_shot_dir):
if 'tmp' in img_file:
continue
file_ids = img_file.split('.')[0].split('_')[1]
json_path = osp.join(dom_dir, f'dom_{file_ids}.json')
img_path = osp.join(screen_shot_dir, img_file)
if not osp.exists(json_path):
continue
dom_data = json.load(open(json_path))
try:
dom_node = NodewithHtml(tokenizer=tokenizer, img_w=IMG_W, img_h=IMG_H, task='dom', **dom_data)
except ValueError as e:
print(f"Json data error: {e}\n{json_path}")
continue
node_list = collect_nodes(dom_node, [])
annotations = make_qa(node_list, img_path)
all_annotations.extend(annotations)
return all_annotations
def main_multi(data_dir, dst_path, language):
pool = Pool(processes=16)
sub_dir_list = os.listdir(data_dir)
single_proc_partial = partial(single_proc, data_dir, language)
num = 0
for res in tqdm(pool.imap_unordered(single_proc_partial, sub_dir_list), total=len(sub_dir_list)):
write_ann(res, dst_path)
num += len(res)
IMG_W = 1920
IMG_H = 1080
data_dir = 'data_20240624'
dst_path = 'xxx.jsonl'
if __name__ == '__main__':
main_multi(data_dir, dst_path, 'en')