test_bench.py 1.57 KB
Newer Older
quyuan's avatar
add ci  
quyuan committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
"""
bench
"""
import os
import shutil
import json
from lib import calculate_score
import pytest
from conf import conf

code_path = os.environ.get('GITHUB_WORKSPACE')
pdf_dev_path = conf.conf["pdf_dev_path"]
pdf_res_path = conf.conf["pdf_res_path"]

class TestBench():
    """
    test bench
    """
quyuan's avatar
add ci  
quyuan committed
19
    def test_ci_ben(self):
quyuan's avatar
add ci  
quyuan committed
20
21
22
23
24
25
26
27
28
29
30
31
32
        """
        ci benchmark
        """
        try:
            fr = open(os.path.join(pdf_dev_path, "result.json"), "r", encoding="utf-8")
            lines = fr.readlines()
            last_line = lines[-1].strip()
            last_score = json.loads(last_line)
            print ("last_score:", last_score)
            last_simscore = last_score["average_sim_score"]
            last_editdistance = last_score["average_edit_distance"]
            last_bleu = last_score["average_bleu_score"]
        except IOError:
quyuan's avatar
add ci  
quyuan committed
33
            print ("result.json not exist")    
quyuan's avatar
add ci  
quyuan committed
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
        os.system(f"python lib/pre_clean.py --tool_name mineru --download_dir {pdf_dev_path}")
        now_score = get_score()
        print ("now_score:", now_score)
        now_simscore = now_score["average_sim_score"]
        now_editdistance = now_score["average_edit_distance"]
        now_bleu = now_score["average_bleu_score"]
        assert last_simscore <= now_simscore
        assert last_editdistance <= now_editdistance
        assert last_bleu <= now_bleu


def get_score():
    """
    get score
    """
quyuan's avatar
add ci  
quyuan committed
49
50
    score = calculate_score.Scoring(os.path.join(pdf_dev_path, "result.json"))
    score.calculate_similarity_total("mineru", pdf_dev_path)
quyuan's avatar
add ci  
quyuan committed
51
52
53
54
    res = score.summary_scores()
    return res