def getting_data():
files_names = get_files()
assuntos = {}
for file_name in files_names:
print(file_name)
with codecs.open(file_name, "r", "utf-8") as handle:
text = handle.read()
x = json.loads(
text, object_hook=lambda d: create_process(d.keys(), d.values()))
for p in x:
#print(p.assunto)
assunto = p.assunto.strip()
if assunto in assuntos:
assuntos[assunto]['valor'] += 1
assuntos[assunto]['list_docs'].append(p.abstract)
assuntos[assunto]['list_target'].append(assunto)
else:
assuntos[assunto] = {}
assuntos[assunto]['valor'] = 1
assuntos[assunto]['list_docs'] = [p.abstract]
assuntos[assunto]['list_target'] = [assunto]
l_docs = []
l_target = []
i = 0
cut = 500
for k, v in sorted(assuntos.items(), key=lambda x: x[0][0], reverse=True):
if v['valor'] > cut:
i += 1
l_docs = l_docs + v['list_docs'][0:cut]
l_target = l_target + v['list_target'][0:cut]
print(i)
print(len(l_docs), len(l_target))
return l_docs, l_target
def get_processes(file_name):
dir_ = os.path.dirname(os.path.abspath(__file__))
processes = []
print(file_name)
with codecs.open(os.path.join(dir_, file_name), "r", "utf-8") as handle:
text = handle.read()
x = json.loads(
text, object_hook=lambda d: create_process(d.keys(), d.values()))
for p in x:
processes.append(p)
return processes
def count_data():
dir_ = os.path.dirname(os.path.abspath(__file__))
files_names = get_files()
total = 0
for file_name in files_names:
print(file_name)
with codecs.open(os.path.join(dir_, file_name), "r",
"utf-8") as handle:
text = handle.read()
x = json.loads(
text, object_hook=lambda d: create_process(d.keys(), d.values()))
total = total + len(x)
return total
def getting_data_all(cut=300, attr='assunto', del_keys=True):
files_names = get_files()
agrouped = {}
for file_name in files_names:
print(file_name)
with codecs.open(file_name, "r", "utf-8") as handle:
try:
processes = json.loads(
handle.read(),
object_hook=lambda d: create_process(d.keys(), d.values()))
except:
print('file name cannot be read: ', file_name)
continue
for p in processes:
if hasattr(p, attr):
group = getattr(p, attr)
if group in agrouped:
agrouped[group]['valor'] += 1
agrouped[group]['list_docs'].append(p.abstract)
agrouped[group]['list_target'].append(group)
else:
agrouped[group] = {}
agrouped[group]['valor'] = 1
agrouped[group]['list_docs'] = [p.abstract]
agrouped[group]['list_target'] = [group]
l_class = []
keys_to_delete = []
for k, v in agrouped.items():
if 'valor' not in v:
print('nao tem valor', k)
keys_to_delete.append(k)
elif len(k) < 3:
keys_to_delete.append(k)
else:
if v['valor'] >= cut:
l_class.append(k)
else:
keys_to_delete.append(k)
if del_keys:
for key in keys_to_delete:
del agrouped[key]
return l_class, agrouped
def getting_data_subject(attr='assunto'):
files_names = get_files()
agrouped = {}
for file_name in files_names:
print(file_name)
with codecs.open(file_name, "r", "utf-8") as handle:
try:
processes = json.loads(
handle.read(),
object_hook=lambda d: create_process(d.keys(), d.values()))
except:
print('file name cannot be read: ', file_name)
continue
for p in processes:
if hasattr(p, attr):
group = getattr(p, attr)
if group in agrouped:
agrouped[group]['valor'] += 1
agrouped[group]['list_docs'].append(p.abstract)
agrouped[group]['list_target'].append(group)
else:
agrouped[group] = {}
agrouped[group]['valor'] = 1
agrouped[group]['list_docs'] = [p.abstract]
agrouped[group]['list_target'] = [group]
keys_to_delete = []
for k, v in agrouped.items():
try:
if v is None:
print(k)
keys_to_delete.append(k)
if 'valor' not in v:
print(k)
keys_to_delete.append(k)
except:
keys_to_delete.append(k)
for key in keys_to_delete:
del agrouped[key]
return agrouped
def jdefault(o):
return o.__dict__
if __name__ == "__main__":
dir_ = os.path.dirname(os.path.abspath(__file__))
files_names = os.listdir(dir_)
files_names = [f for f in files_names if f.endswith(".json")]
l_docs = []
l_files = []
for file_name in files_names:
with codecs.open(os.path.join(dir_, file_name), "r",
"utf-8") as handle:
text = handle.read()
x = json.loads(
text, object_hook=lambda d: create_process(d.keys(), d.values()))
for p in x:
#print(p.assunto)
if p.assunto == " Cheque":
l_docs.append(p.abstract)
l_files.append(p.npu_process)
print(len(l_docs), len(l_files))
result = tdm(l_docs, l_files)
print(result.shape)
word_count = result.sum(1)
total_words = word_count.sum(0)
word_count2 = word_count / total_words
wc = WordCloud(background_color="white", max_words=2000)
wc.generate_from_frequencies(word_count2.to_dict())
wc.to_file(os.path.join(dir_, "teste.jpg"))
