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check_programs.py
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check_programs.py
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import os
import sys
import json
import random
import numpy as np
from glob import glob
from termcolor import colored
from tqdm import tqdm
from multiprocessing import Pool
from . import utils
from .scripts import read_script, read_script_from_string, read_script_from_list_string, ScriptParseException
from .execution import ScriptExecutor
from .environment import EnvironmentGraph
random.seed(123)
verbose = True
dump = True
multi_process = True
num_process = os.cpu_count()
max_nodes = 500
def dump_one_data(txt_file, script, graph_state_list, id_mapping, graph_path):
"""
Writes the graphs into files
"""
new_path = txt_file.replace('withoutconds', 'executable_programs')
graph_sub_dir = graph_path.split('/')[-1].replace('.json', '')
new_path = new_path.split('/')
j = new_path.index('executable_programs') + 1
new_path = new_path[:j] + [graph_sub_dir] + new_path[j:]
new_path = '/'.join(new_path)
new_dir = os.path.dirname(new_path)
if not os.path.exists(new_dir):
try:
os.makedirs(new_dir)
except FileExistsError:
pass
old_f = open(txt_file, 'r')
old_program = old_f.read()
old_f.close()
new_f = open(new_path, 'w')
prefix = old_program.split('\n\n\n')[0]
new_f.write(prefix)
new_f.write('\n\n\n')
for script_line in script:
script_line_str = '[{}]'.format(script_line.action.name)
if script_line.object():
script_line_str += ' <{}> ({})'.format(script_line.object().name, script_line.object().instance)
if script_line.subject():
script_line_str += ' <{}> ({})'.format(script_line.subject().name, script_line.subject().instance)
for k, v in id_mapping.items():
obj_name, obj_number = k
id = v
script_line_str = script_line_str.replace('<{}> ({})'.format(obj_name, id), '<{}> ({}.{})'.format(obj_name, obj_number, id))
new_f.write(script_line_str)
new_f.write('\n')
# init graph and final graph
new_path = txt_file.replace('withoutconds', 'init_and_final_graphs').replace('txt', 'json')
graph_sub_dir = graph_path.split('/')[-1].replace('.json', '')
new_path = new_path.split('/')
j = new_path.index('init_and_final_graphs') + 1
new_path = new_path[:j] + [graph_sub_dir] + new_path[j:]
new_path = '/'.join(new_path)
new_dir = os.path.dirname(new_path)
if not os.path.exists(new_dir):
try:
os.makedirs(new_dir)
except FileExistsError:
pass
new_f = open(new_path, 'w')
json.dump({"init_graph": graph_state_list[0], "final_graph": graph_state_list[-1]}, new_f)
new_f.close()
# state list
new_path = txt_file.replace('withoutconds', 'state_list').replace('txt', 'json')
graph_sub_dir = graph_path.split('/')[-1].replace('.json', '')
new_path = new_path.split('/')
j = new_path.index('state_list') + 1
new_path = new_path[:j] + [graph_sub_dir] + new_path[j:]
new_path = '/'.join(new_path)
new_dir = os.path.dirname(new_path)
if not os.path.exists(new_dir):
try:
os.makedirs(new_dir)
except FileExistsError:
pass
new_f = open(new_path, 'w')
json.dump({"graph_state_list": graph_state_list}, new_f)
new_f.close()
def translate_graph_dict_nofile(graph_dict):
abs_dir_path = os.path.dirname(os.path.abspath(__file__))
file_name = os.path.join(abs_dir_path, '../../resources/properties_data.json')
properties_data = utils.load_properties_data(file_name=file_name)
static_objects = ['bathroom', 'floor', 'wall', 'ceiling', 'rug', 'curtains', 'ceiling_lamp', 'wall_lamp',
'bathroom_counter', 'bathtub', 'towel_rack', 'wall_shelf', 'stall', 'bathroom_cabinet',
'toilet', 'shelf', 'door', 'doorjamb', 'window', 'lightswitch', 'bedroom', 'table_lamp',
'chair', 'bookshelf', 'nightstand', 'bed', 'closet', 'coatrack', 'coffee_table',
'pillow', 'hanger', 'character', 'kitchen', 'maindoor', 'tv_stand', 'kitchen_table',
'bench', 'kitchen_counter', 'sink', 'power_socket', 'tv', 'clock', 'wall_phone',
'cutting_board', 'stove', 'oventray', 'toaster', 'fridge', 'coffeemaker', 'microwave',
'livingroom', 'sofa', 'coffee_table', 'desk', 'cabinet', 'standing_mirror', 'globe',
'mouse', 'mousemat', 'cpu_screen', 'computer', 'cpu_case', 'keyboard', 'ceilingfan',
'kitchen_cabinets', 'dishwasher', 'cookingpot', 'wallpictureframe', 'vase', 'knifeblock',
'stovefan', 'orchid', 'long_board', 'garbage_can', 'photoframe', 'balance_ball', 'closet_drawer', 'faucet']
static_objects = static_objects + [x.replace('_', '') for x in static_objects]
new_nodes = [i for i in filter(lambda v: v["class_name"] in static_objects, graph_dict['nodes'])]
trimmed_nodes = [i for i in filter(lambda v: v["class_name"] not in static_objects, graph_dict['nodes'])]
available_id = [i["id"] for i in filter(lambda v: v["class_name"] in static_objects, graph_dict['nodes'])]
new_edges = [i for i in filter(lambda v: v['to_id'] in available_id and v['from_id'] in available_id, graph_dict['edges'])]
# change the object name
script_object2unity_object = utils.load_name_equivalence()
unity_object2script_object = utils.build_unity2object_script(script_object2unity_object)
new_nodes_script_object = []
for node in new_nodes:
class_name = unity_object2script_object[node["class_name"]].lower().replace(' ', '_') if node["class_name"] in unity_object2script_object else node["class_name"].lower().replace(' ', '_')
new_nodes_script_object.append({
"properties": [i.name for i in properties_data[class_name]] if class_name in properties_data else node["properties"],
"id": node["id"],
"states": node["states"],
"category": node["category"],
"class_name": class_name
})
return {"nodes": new_nodes_script_object, "edges": new_edges, 'trimmed_nodes': trimmed_nodes}
def translate_graph_dict(path):
"""
Changes the object names and properties of an environment graph so that
they match with the names in the scripts.
"""
graph_dict = utils.load_graph_dict(path)
trimmed_graph = translate_graph_dict_nofile(graph_dict)
translated_path = path.replace('TestScene', 'TrimmedTestScene')
json.dump(trimmed_graph, open(translated_path, 'w+'))
return translated_path
def check_one_program(helper, script, precond, graph_dict, w_graph_list, modify_graph=True, place_other_objects=True, id_mapping={}, **info):
helper.initialize(graph_dict)
script, precond = modify_objects_unity2script(helper, script, precond)
if modify_graph:
## add missing object from scripts (id from 1000) and set them to default setting
## id mapping can specify the objects that already specify in the graphs
helper.set_to_default_state(graph_dict, None, id_checker=lambda v: True)
id_mapping, first_room, room_mapping = helper.add_missing_object_from_script(script, precond, graph_dict, id_mapping)
info = {'room_mapping': room_mapping}
objects_id_in_script = [v for v in id_mapping.values()]
helper.set_to_default_state(graph_dict, first_room, id_checker=lambda v: v in objects_id_in_script)
## place the random objects (id from 2000)
# Don't want random objects
# TODO removes basically every small decoration object
# if place_other_objects:
# max_node_to_place = max_nodes - len(graph_dict["nodes"])
# n = random.randint(max_node_to_place - 20, max_node_to_place)
# helper.add_random_objs_graph_dict(graph_dict, n=max(n, 0))
# helper.set_to_default_state(graph_dict, None, id_checker=lambda v: v >= 2000)
# helper.random_change_object_state(id_mapping, graph_dict, id_checker=lambda v: v not in objects_id_in_script)
## set relation and state from precondition
helper.check_binary(graph_dict, id_checker=lambda v: True, verbose=False)
random_objects_id = helper.random_objects_id
helper.prepare_from_precondition(precond, id_mapping, graph_dict)
helper.open_all_doors(graph_dict)
helper.ensure_light_on(graph_dict, id_checker=lambda v: v not in objects_id_in_script)
helper.check_binary(graph_dict, id_checker=lambda v: v >= random_objects_id, verbose=False)
helper.check_binary(graph_dict, id_checker=lambda v: True, verbose=True)
assert len(graph_dict["nodes"]) <= max_nodes, 'Max nodes: {}. Current Nodes {}'.format(len(graph_dict['nodes']), max_nodes)
elif len(id_mapping) != 0:
# Assume that object mapping specify all the objects in the scripts
helper.modify_script_with_specified_id(script, id_mapping, **info)
graph = EnvironmentGraph(graph_dict)
name_equivalence = utils.load_name_equivalence()
executor = ScriptExecutor(graph, name_equivalence)
executable, final_state, graph_state_list = executor.execute(script, w_graph_list=w_graph_list)
if executable:
message = 'Script is executable'
else:
message = 'Script is not executable, since {}'.format(executor.info.get_error_string())
return message, executable, final_state, graph_state_list, id_mapping, info, script
def check_script(program_str, precond, graph_path, inp_graph_dict=None,
modify_graph=True, id_mapping={}, info={}):
helper = utils.graph_dict_helper(max_nodes=max_nodes)
try:
script = read_script_from_list_string(program_str)
except ScriptParseException:
return None, None, None, None, None, None, None, None
if inp_graph_dict is None:
graph_dict = utils.load_graph_dict(graph_path)
else:
graph_dict = inp_graph_dict
message, executable, final_state, graph_state_list, id_mapping, info, modif_script = check_one_program(
helper, script, precond, graph_dict, w_graph_list=True, modify_graph=modify_graph,
id_mapping=id_mapping, place_other_objects=True, **info)
return message, final_state, graph_state_list, graph_dict, id_mapping, info, helper, modif_script
def check_original_script(inp):
"""
Checks if a script is executable in a graph environment
Given a script and a graph. Infers script preconditions modifies the graph
and checks whether the script can be executed.
:param inp. Script path and Graph path where the script will be executed
"""
txt_file, graph_path = inp
helper = utils.graph_dict_helper(max_nodes=max_nodes)
try:
script = read_script(txt_file)
except ScriptParseException:
return None, None, None, None, None
precond_path = txt_file.replace('withoutconds', 'initstate').replace('txt', 'json')
graph_dict = utils.load_graph_dict(graph_path)
precond = json.load(open(precond_path))
message, executable, _, graph_state_list, id_mapping, _, _ = check_one_program(helper, script, precond, graph_dict, w_graph_list=True)
if executable and dump:
dump_one_data(txt_file, script, graph_state_list, id_mapping, graph_path)
return script, message, executable, graph_state_list, id_mapping
def modify_objects_unity2script(helper, script=[], precond=[]):
"""Convert the script and precond's objects to match unity programs
"""
for script_line in script:
for param in script_line.parameters:
if param.name in helper.unity_object2script_object:
param.name = helper.unity_object2script_object[param.name]
for p in precond:
for k, vs in p.items():
if isinstance(vs[0], list):
for v in vs:
v[0] = v[0].lower().replace(' ', '_')
if v[0] in helper.unity_object2script_object:
v[0] = helper.unity_object2script_object[v[0]]
else:
v = vs
v[0] = v[0].lower().replace(' ', '_')
if v[0] in helper.unity_object2script_object:
v[0] = helper.unity_object2script_object[v[0]]
return script, precond
def check_whole_set(dir_path, graph_path):
"""Use precondition to modify the environment graphs
"""
program_dir = os.path.join(dir_path, 'withoutconds')
program_txt_files = glob(os.path.join(program_dir, '*/*.txt'))
executable_programs = []
not_parsable_programs = []
executable_program_length = []
not_executable_program_length = []
if isinstance(graph_path, list):
multiple_graphs = True
executable_scene_hist = {p: 0 for p in graph_path}
else:
multiple_graphs = False
info = {}
if os.path.isfile('data/executable_info.json'):
with open('data/executable_info.json', 'r') as f:
info = json.load(f)
n = max(len(program_txt_files) // (num_process*4), 1)
program_txt_files = np.array(program_txt_files)
pool = Pool(processes=num_process)
for txt_files in tqdm(np.array_split(program_txt_files, n)):
if multiple_graphs:
# Distribute programs across different graphs. Every program is executed by 3 graphs
mp_inputs = []
for f in txt_files:
random.shuffle(graph_path)
for g in graph_path[:3]:
mp_inputs.append([f, g])
else:
mp_inputs = [[f, graph_path] for f in txt_files]
if multi_process:
results = pool.map(check_original_script, mp_inputs)
else:
results = [check_original_script(inp) for inp in mp_inputs]
for input, result in zip(mp_inputs, results):
i_txt_file, i_graph_path = input
script, message, executable, _, _ = result
if script is None:
not_parsable_programs.append(i_txt_file)
continue
if executable:
executable_programs.append(i_txt_file)
if multiple_graphs:
executable_scene_hist[i_graph_path] += 1
executable_program_length.append(len(script))
else:
not_executable_program_length.append(len(script))
if verbose and message != "Script is executable":
print(i_txt_file)
print(i_graph_path)
print(colored(message, "cyan"))
if i_txt_file not in info:
info[i_txt_file] = []
info[i_txt_file].append({"message": message, "graph_path": i_graph_path})
if multiple_graphs:
info['scene_hist'] = executable_scene_hist
print(executable_scene_hist)
print("Total programs: {}, executable programs: {} (unique: {})".format(len(program_txt_files), len(executable_programs), len(set(executable_programs))))
print("Programs that can not be parsed: {} (unique: {})".format(len(not_parsable_programs), len(set(not_parsable_programs))))
if len(executable_program_length):
executable_program_length = sum(executable_program_length) / len(executable_program_length)
else:
executable_program_length = 0.
if len(not_executable_program_length):
not_executable_program_length = sum(not_executable_program_length) / len(not_executable_program_length)
else:
not_executable_program_length = 0.
info["executable_prog_len"] = executable_program_length
info["non_executable_prog_len"] = not_executable_program_length
print("Executable program average length: {:.2f}, not executable program average length: {:.2f}".format(executable_program_length, not_executable_program_length))
json.dump(info, open("data/executable_info.json", 'w'))
def check_executability(input):
script, graph_dict = input
if len(script.split(', ')) == 1:
final_state = graph_dict
return True, True, final_state
string = modify_script(script)
able_to_be_parsed = False
able_to_be_executed = False
try:
script = read_script_from_string(string)
able_to_be_parsed = True
except ScriptParseException:
return able_to_be_parsed, able_to_be_executed, None
graph = EnvironmentGraph(graph_dict)
name_equivalence = utils.load_name_equivalence()
executor = ScriptExecutor(graph, name_equivalence)
try:
executable, final_state, _ = executor.execute(script)
except AttributeError:
print("Attribute error")
print("Program:")
programs = string.split(', ')
for p in programs:
print(p)
return able_to_be_parsed, able_to_be_executed, None
except:
print("Unexpected error:", sys.exc_info()[0])
print("Program:")
programs = string.split(', ')
for p in programs:
print(p)
return able_to_be_parsed, able_to_be_executed, None
if executable:
able_to_be_executed = True
return able_to_be_parsed, able_to_be_executed, final_state.to_dict()
else:
return able_to_be_parsed, able_to_be_executed, None
def modify_script(script):
modif_script = []
for script_line in script.split(', '):
action, object_name, object_i, subject_name, subject_i = script_line.split(' ')
if object_name in ['<<none>>', '<<eos>>']:
modif_script.append(action)
elif subject_name in ['<<none>>', '<<eos>>']:
modif_script.append('{} {} {}'.format(action, object_name, object_i))
else:
modif_script.append('{} {} {} {} {}'.format(action, object_name, object_i, subject_name, subject_i))
return ', '.join(modif_script)
if __name__ == '__main__':
cont = sys.argv[1]
if int(cont) == 0:
translated_path = translate_graph_dict(path='example_graphs/TestScene7_graph.json')
translated_path = ['example_graphs/TrimmedTestScene7_graph.json']
else:
translated_path = [translate_graph_dict(path='example_graphs/TestScene{}_graph.json'.format(i+1)) for i in range(6)]
translated_path = ['example_graphs/TrimmedTestScene{}_graph.json'.format(i+1) for i in range(6)]
programs_dir = 'data/input_scripts_preconds_release/programs_processed_precond_nograb_morepreconds'
check_whole_set(programs_dir, graph_path=translated_path)