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run_eval.py
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run_eval.py
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#!/usr/bin/env python
"""
Name: run_eval.py
"""
import argparse
import json
import numpy as np
"""usage
python src/run_eval.py --pred_file xxx --gold_file xxx
"""
def get_token_thread(dialogue):
sentences = dialogue['sentences']
replies = dialogue['replies']
sentence_ids = [[i] * len(w.split()) for i, w in enumerate(sentences)]
sentence_ids = [w for sent in sentence_ids for w in sent]
thread_list = [[0]]
cur_thread = []
for i, r in enumerate(replies):
if i == 0: continue
if r > replies[i - 1]:
cur_thread.append(i)
else:
thread_list.append(cur_thread)
cur_thread = [i]
if len(cur_thread) > 0:
thread_list.append(cur_thread)
dis_matrix = np.zeros([len(replies), len(replies)], dtype=int)
for i in range(len(thread_list)):
first_list = thread_list[i]
for ii in range(len(first_list)):
for j in range(i, len(thread_list)):
second_list = thread_list[j]
for jj in range(len(second_list)):
if i == j:
dis_matrix[first_list[ii], second_list[jj]] = abs(ii - jj)
dis_matrix[second_list[jj], first_list[ii]] = abs(ii - jj)
elif i * j == 0:
dis_matrix[first_list[ii], second_list[jj]] = ii + jj + 1
dis_matrix[second_list[jj], first_list[ii]] = ii + jj + 1
else:
dis_matrix[first_list[ii], second_list[jj]] = ii + jj + 2
dis_matrix[second_list[jj], first_list[ii]] = ii + jj + 2
return dis_matrix, sentence_ids
def get_utterance_distance(sentence_ids, dis_matrix, index0, index1, index2):
def get_pair_distance(id0, id1):
sent0 = sentence_ids[id0]
sent1 = sentence_ids[id1]
return dis_matrix[sent0, sent1]
dis0 = get_pair_distance(index0, index1)
dis1 = get_pair_distance(index1, index2)
dis2 = get_pair_distance(index0, index2)
return max(dis0, dis1, dis2)
class Template:
def __init__(self, config):
self.pred_file = config.pred_file
self.gold_file = config.gold_file
def read_data(self, path, mode='pred'):
with open(path, 'r', encoding='utf-8') as f:
content = json.load(f)
content = {w['doc_id']: w for w in content}
if mode == 'pred': return content
new_content = {}
for k, line in content.items():
triplets = line['triplets']
ta = [tuple(w[:4]) for w in triplets if all(z != -1 for z in w[:4])]
to = [tuple(w[0:2] + w[4:6]) for w in triplets if all(z != -1 for z in w[:2] + w[4:6])]
ao = [tuple(w[2:6]) for w in triplets if all(z != -1 for z in w[2:6])]
dis_matrix, sentence_ids = get_token_thread(line)
line.update({'ta': ta, 'to': to, 'ao': ao, 'dis_matrix': dis_matrix, 'sentence_ids': sentence_ids})
new_content[k] = line
return new_content
def post_process(self, line, key='quad'):
if key in ['targets', 'aspects', 'opinions']:
return [tuple(w[:2]) for w in line[key]]
if key in ['ta', 'to', 'ao']:
return [tuple(w[:4]) for w in line[key]]
res = []
if key in ['quad', 'iden']:
for comb in line['triplets']:
if any(w == -1 for w in comb[:6]): continue
assert all(isinstance(w, int) for w in comb[:6])
assert isinstance(comb[6], str)
assert len(comb) == 10
comb[6] = comb[6] if comb[6] in ['pos', 'neg'] else 'other'
res.append(tuple(comb[:6 if key == 'iden' else 7]))
return res
if key in ['intra', 'inter']:
for comb in line['triplets']:
if any(w == -1 for w in comb[:6]): continue
comb[6] = comb[6] if comb[6] in ['pos', 'neg'] else 'other'
distance = get_utterance_distance(line['sentence_ids'], line['dis_matrix'], comb[0], comb[2], comb[4])
if key == 'intra' and distance > 0: continue
if key == 'inter' and distance == 0: continue
res.append(tuple(comb[:7]))
return res
if key in ['cross-1', 'cross-2', 'cross-3']:
for comb in line['triplets']:
if any(w == -1 for w in comb[:6]): continue
comb[6] = comb[6] if comb[6] in ['pos', 'neg'] else 'other'
distance = get_utterance_distance(line['sentence_ids'], line['dis_matrix'], comb[0], comb[2], comb[4])
if key == 'cross-1' and distance != 1: continue
if key == 'cross-2' and distance != 2: continue
if key == 'cross-3' and distance <3: continue
res.append(tuple(comb[:7]))
return res
raise ValueError('Invalid key: {}'.format(key))
def compute_score(self, mode='quad'):
tp, fp, fn = 0, 0, 0
for doc_id in self.gold_res:
pred_line = self.pred_res[doc_id]
gold_line = self.gold_res[doc_id]
pred_line['sentence_ids'] = gold_line['sentence_ids']
pred_line['dis_matrix'] = gold_line['dis_matrix']
pred_line = self.post_process(pred_line, mode)
gold_line = self.post_process(gold_line, mode)
fp += len(set(pred_line) - set(gold_line))
fn += len(set(gold_line) - set(pred_line))
tp += len(set(pred_line) & set(gold_line))
p = tp / (tp + fp) if tp + fp > 0 else 0
r = tp / (tp + fn) if tp + fn > 0 else 0
f1 = 2 * p * r / (p + r) if p + r > 0 else 0
scores = [p, r, f1]
return scores
def forward(self, print_line=False):
self.pred_res = self.read_data(self.pred_file, 'pred')
self.gold_res = self.read_data(self.gold_file, 'gold')
assert len(self.pred_res) == len(self.gold_res)
assert all(k in self.gold_res for k in self.pred_res)
scores = []
res = 'Item\tPrec.\tRec.\tF1\n'
items = ['targets', 'aspects', 'opinions', 'ta', 'to', 'ao', 'quad', 'iden', 'intra', 'inter', 'cross-1', 'cross-2', 'cross-3']
item_name = ['Target', 'Aspect', 'Opinion', 'TA', 'TO', 'AO', 'Micro', 'Iden', 'Intra', 'Inter', 'Cross-1', 'Cross-2', 'Cross-3']
num_format = lambda x: '\t' + '\t'.join([f'{w*100:.2f}' if i < 3 else str(w) for i, w in enumerate(x)]) + '\n'
line_indices = [0, 3, 6, 8]
for i, item in enumerate(items):
if i in line_indices : res += '-'*30 + '\n'
score = self.compute_score(item)
scores.append(score)
res += item_name[i] + num_format(score)
res += '-'*30
if print_line:
print(res)
micro_score, iden_score = scores[6], scores[7]
return micro_score, iden_score, res
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-p', '--pred_file', default='data/save/pred_zh_test.json', type=str, required=False, help='pred file name with directory name')
parser.add_argument('-g', '--gold_file', default='data/dataset/jsons_zh/test.json', type=str, required=False, help='gold file name with directory name')
args = parser.parse_args()
template = Template(args)
template.forward(True)