Percept-V / grid_path /utils.py
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def output_from_text(output_text):
try:
output_text = output_text.split(':')
# print(output_text)
# if len(output_text) < 2:
out_line = output_text[-1].strip()
# else:
# out_line = output_text[-2].strip()
try:
path = [word.strip() for word in out_line.split(",")]
if len(path) >= 2:
return {
"OUTPUT": path,
"ERROR": None
}
else:
path = [word.strip() for word in out_line.split(",")]
if len(path) >= 2:
return {
"OUTPUT": path,
"ERROR": None
}
else:
return {
"OUTPUT": None,
"ERROR": "Output file should have last line as path in correct format"
}
except Exception as e:
return {
"OUTPUT": None,
"ERROR": f"Unexpected error while parsing {str(e)}\n"
}
except Exception as e:
return {
"OUTPUT": None,
"ERROR": f"Unexpected error while parsing {str(e)}\n"
}
import os
import json
def gold_to_output(i):
gold_output = None
try:
#get directory of this file
dir_of_file = os.path.dirname(os.path.realpath(__file__))
#open the data file
with open(dir_of_file + "\data.json") as f:
data = json.load(f)
row = data[i]
path = row['gold_output']
output_prompt = "SHAPES: " + " , ".join(path)
# output_prompt = ",".join(path)
except Exception as e:
return {
"OUTPUT": None,
"ERROR": str(e)
}
return {
"OUTPUT": output_prompt,
"ERROR": None
}
# import json
# with open("./answer.json", "r") as f:
# data = json.load(f)
# # print(data[1])
# for i in data:
# output_text = i["gpt_response"]
# i["Output"] = output_from_text(output_text)["OUTPUT"]
# i["ERROR"] = output_from_text(output_text)["ERROR"]
# #remove OUTPUT key
# # i.pop("OUTPUT")
# with open("./answer.json", "w") as f:
# json.dump(data, f, indent=4)
# print("Output saved to answer.json")