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from glob import glob
import os
import json
import random
train_cnt = 0
test_cnt = 0
val_cnt = 0
combined_cnt = 0
train_final = {}
test_final = {}
val_final = {}
combined_final = {}
for fn in glob("data/tasks/*/*"):
print(fn)
app_name = fn.split('/')[3]
app_type = fn.split('/')[2]
for i in range(1,10):
image = f"data/data/{app_type}/{app_name}/screen_{i}.png"
if os.path.exists(image) == False:
if i == 1:
print(image)
continue
ocr = f"ocr/{app_type}/{app_name}/screen_{i}.json"
assert os.path.exists(ocr), ocr
color = f"detact_color/{app_type}/{app_name}/screen_{i}.json"
assert os.path.exists(color), color
icon = f"detact_icon/{app_type}/{app_name}/screen_{i}.json"
assert os.path.exists(icon), icon
box = f"data/metadata/{app_type}/boxes/{app_name}/screen_{i}.json"
assert os.path.exists(box), box
script_to_task_fn = {}
cnt = 0
for task_fn in glob(f"{fn}/task_{i}.*.txt"):
txt = '\n'.join(open(task_fn).read().strip().split('\n')[1:])
if txt not in script_to_task_fn:
script_to_task_fn[txt] = []
script_to_task_fn[txt].append(task_fn)
cnt += 1
for k in script_to_task_fn:
c_tasks = script_to_task_fn[k]
rand = random.randint(1,10)
if rand <= 7:
for c in c_tasks:
train_final[train_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box}
train_cnt += 1
combined_final[combined_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box}
combined_cnt += 1
elif rand == 8:
for c in c_tasks:
val_final[val_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box}
val_cnt += 1
combined_final[combined_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box}
combined_cnt += 1
elif rand > 8:
for c in c_tasks:
test_final[test_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box}
test_cnt += 1
combined_final[combined_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box}
combined_cnt += 1
print(train_cnt)
print(val_cnt)
print(test_cnt)
print(combined_cnt)
json.dump(train_final, open('train.json', "w"), indent=4)
json.dump(val_final, open("val.json","w"), indent=4)
json.dump(test_final, open("test.json","w"), indent=4)
json.dump(combined_final, open('combined.json','w'), indent=4) |