Coverage for src/crawler/by_source/ams_crawler.py: 52%

1import json 

2import os 

3import subprocess 

4from urllib.parse import urljoin 

5from uuid import uuid4 

6 

7from bs4 import BeautifulSoup 

8from ptf.model_data import create_abstract, create_articledata 

9from ptf.utils import execute_cmd 

10 

11from crawler.base_crawler import BaseCollectionCrawler 

12from crawler.utils import skip_generation 

13 

14 

15class AmsCrawler(BaseCollectionCrawler): 

16 source_name = "American Mathematical Society" 

17 source_domain = "AMS" 

18 source_website = "https://www.ams.org/" 

19 

20 @skip_generation 

21 def parse_collection_content(self, content): 

22 xissues = [] 

23 soup = BeautifulSoup(content, "html.parser") 

24 issues_data_tag = soup.select_one("script[language='JavaScript']:not([src])") 

25 issues = json.loads(self.get_col_issues(issues_data_tag.text)) 

26 for i in issues: 

27 xissues.append( 

28 self.create_xissue( 

29 urljoin(self.collection_url, issues[i]["url"]), 

30 issues[i]["year"], 

31 issues[i]["volume"], 

32 issues[i].get("number", None), 

33 ) 

34 ) 

35 return xissues 

36 

37 def get_col_issues(self, input: str): 

38 filename = "/tmp/crawler/puppeteer/" + str(uuid4()) 

39 filename_out = filename + "-out" 

40 os.makedirs(os.path.dirname(filename), exist_ok=True) 

41 with open(filename, "w") as file: 

42 file.write(input) 

43 

44 content = None 

45 attempt = 0 

46 while not content and attempt < 3: 

47 attempt += 1 

48 try: 

49 cmd = f"{os.path.dirname(os.path.realpath(__file__))}/ams_crawler_col.js -f {filename} -o {filename_out}" 

50 print(cmd) 

51 execute_cmd(cmd) 

52 

53 if os.path.isfile(filename_out): 

54 with open(filename_out) as file_: 

55 content = file_.read() 

56 

57 os.remove(filename) 

58 os.remove(filename_out) 

59 

60 except subprocess.CalledProcessError: 

61 pass 

62 if not content: 

63 raise ValueError("Couldn't parse collection content") 

64 return content 

65 

66 def parse_issue_content(self, content, xissue): 

67 soup = BeautifulSoup(content, "html.parser") 

68 articles = soup.select( 

69 "dd > a:-soup-contains-own('Abstract, references and article information')" 

70 ) 

71 for index, a in enumerate(articles): 

72 article_url = a.get("href") 

73 if not isinstance(article_url, str): 73 ↛ 74line 73 didn't jump to line 74 because the condition on line 73 was never true

74 raise ValueError("Couldn't parse article url") 

75 xarticle = create_articledata() 

76 xarticle.url = urljoin(self.collection_url, article_url) 

77 xarticle.pid = "a" + str(index) 

78 xissue.articles.append(xarticle) 

79 

80 def parse_article_content(self, content, xissue, xarticle, url): 

81 soup = BeautifulSoup(content, "html.parser") 

82 self.get_metadata_using_citation_meta( 

83 xarticle, xissue, soup, ["author", "page", "doi", "references", "pdf", "title"] 

84 ) 

85 if len(xarticle.bibitems) > 0: 

86 xarticle.abstracts.append(self.create_bibliography(xarticle.bibitems)) 

87 

88 abstract_subtag = soup.select_one("a#Abstract") 

89 if abstract_subtag: 89 ↛ 97line 89 didn't jump to line 97 because the condition on line 89 was always true

90 abstract_tag = abstract_subtag.parent 

91 if abstract_tag: 91 ↛ 97line 91 didn't jump to line 97 because the condition on line 91 was always true

92 abstract_subtag.decompose() 

93 xarticle.abstracts.append( 

94 create_abstract(lang="en", tag="abstract", value_tex=abstract_tag.text) 

95 ) 

96 

97 return xarticle