Coverage for src/crawler/by_source/bdim_crawler.py: 8%
241 statements
« prev ^ index » next coverage.py v7.8.0, created at 2025-04-24 10:35 +0000
1import re
3import lingua
4import regex
5from bs4 import BeautifulSoup, Tag
6from lingua import LanguageDetectorBuilder
7from ptf.cmds.xml.jats.builder.citation import (
8 ContribAuthor,
9 get_all_authors_xml,
10 get_ext_link_xml,
11 get_publisher_xml,
12 get_source_xml,
13 get_volume_xml,
14 get_year_xml,
15)
16from ptf.cmds.xml.jats.builder.issue import get_title_xml
17from ptf.cmds.xml.xml_utils import escape
18from ptf.model_data import (
19 ArticleData,
20 create_abstract,
21 create_articledata,
22 create_contributor,
23 create_issuedata,
24)
26from crawler.base_crawler import BaseCollectionCrawler
27from crawler.utils import add_pdf_link_to_xarticle
30class BdimCrawler(BaseCollectionCrawler):
31 source_name = "Biblioteca Digitale Italiana di Matematica"
32 source_domain = "BDIM"
33 source_website = "http://www.bdim.eu"
34 headers = {"accept_encoding": "utf-8", "cookie": "lingua=en; matematica=tex"}
36 match_headers = ["cookie"]
37 title_corrections = {
38 "RLINA_1965_8_39_5_a17": "Eventi fasici nel midollo spinale quali prove di inibizione presinaptica durante il sonno desincronizzato",
39 "RLINA_1973_8_55_6_a0": "Complementarity between nilpotent selfmappings and periodic autohomeomorphisms.",
40 "RLINA_1973_8_55_6_a2": "Sur une extension du lemme de Green.",
41 "RLINA_1979_8_67_1-2_a6": "On the existence o f an unbounded connected set of solutions for nonlinear equations in Banach spaces.",
42 "RLINA_1972_8_52_2_a5": "Sul carattere proiettivo del rapporto plurisezionale.",
43 "RLINA_1980_8_69_1-2_a6": "A note on a variational formulation of the Einstein equations for thermo-elastic materials.",
44 }
46 issue_href = r"\?id=(?P<col>\w+)(?P<issue>_\d{1,4})"
48 language_detector = LanguageDetectorBuilder.from_languages(
49 lingua.Language.ENGLISH, lingua.Language.FRENCH, lingua.Language.ITALIAN
50 ).build()
52 def __init__(self, *args, **kwargs):
53 super().__init__(*args, **kwargs)
55 def parse_collection_content(self, content):
56 """
57 Parse the HTML page of Annals of Math and returns a list of xissue.
58 Each xissue has its pid/volume/number/year metadata + its url
59 """
60 soup = BeautifulSoup(content, "html.parser")
61 xissues = []
63 reg_issue = regex.compile(self.issue_href)
65 issue_nodes = []
66 for issue in soup.select("div.listafascicoli a"):
67 href = issue.get("href")
68 if isinstance(href, str) and reg_issue.search(href):
69 issue_nodes.append(issue)
71 for issue_node in issue_nodes:
72 # issue_text = issue_node.get_text()
74 part_issue = issue_node.get("href").split("_")
75 volume = part_issue[-2]
76 number = part_issue[-1]
77 year = part_issue[1]
78 serie = part_issue[2]
79 link = "/item" + issue_node.get("href")
80 xissue = self.create_bdim_xissue(link, serie, volume, number, year)
81 if xissue:
82 xissues.append(xissue)
84 return xissues
86 def get_year(self, year):
87 if "/" in year:
88 year = year.split("/")[0]
90 return year
92 def create_bdim_xissue(self, url, serie, volume, number, dates):
93 year = dates.replace("/", "-")
95 xissue = create_issuedata()
96 xissue.pid = f"{self.collection_id}_{year}_{serie}_{volume}_{number}"
97 xissue.year = year
98 xissue.volume = volume
99 xissue.number = number
100 xissue.vseries = serie
101 xissue.url = self.source_website + url
103 return xissue
105 def parse_issue_content(self, content, xissue):
106 soup = BeautifulSoup(content, "html.parser")
107 article_nodes = soup.find_all("div", {"class": "referenza"})
109 for index_article, article_node in enumerate(article_nodes):
110 article_link_node = article_node.find("a", text="full entry")
111 if article_link_node:
112 url = article_link_node.get("href")
113 xarticle = create_articledata()
114 xarticle.pid = "a" + str(index_article)
115 xarticle.url = self.source_website + url
117 xissue.articles.append(xarticle)
119 def parse_article_content(self, content, xissue, xarticle, url):
120 """
121 Parse the content with Beautifulsoup and returns an ArticleData
122 """
123 soup = BeautifulSoup(content, "html.parser")
124 # TITLE
125 title_node = soup.select_one("span.titolo")
126 if not title_node:
127 raise ValueError("Couldn't find article title")
128 xarticle.title_tex = title_node.get_text()
129 if xarticle.title_tex == "":
130 xarticle.title_tex = " "
132 # Lang
133 if "(Italian)" in title_node.parent.text:
134 xarticle.lang = "it"
135 elif "(English)" in title_node.parent.text:
136 xarticle.lang = "en"
137 # Authors
138 reg_author_link = regex.compile(r"\?testo=\w+")
139 text_author_bloc = soup.select_one("div.referenza p")
140 if text_author_bloc:
141 for link in text_author_bloc.select("a"):
142 href = link.get("href")
143 if isinstance(href, str) and reg_author_link.search(href):
144 contrib_node = link.select_one("span.autore")
145 if contrib_node is not None:
146 surname_node = link.select_one("span.cognome")
147 firstname_node = link.select_one("span.nome")
148 author = create_contributor(role="author")
150 if surname_node is not None:
151 surname = surname_node.get_text()
152 author["last_name"] = surname
154 if firstname_node is not None:
155 firstname = firstname_node.get_text()
156 author["first_name"] = firstname
158 if not firstname_node or not surname_node:
159 string_name = contrib_node.get_text()
160 author["string_name"] = string_name
162 xarticle.contributors.append(author)
164 # ABSTRACT
165 abstract_section_node = soup.select_one("div.sunto")
166 if abstract_section_node:
167 abstract = str(abstract_section_node.get_text())
168 xabstract = create_abstract(
169 tag="abstract", value_tex=abstract, lang=self.detect_language(abstract)
170 )
171 xarticle.abstracts.append(xabstract)
173 # PDF
174 pdf_url = soup.find_all("a", text="pdf")
175 if len(pdf_url) > 0:
176 pdf_url = self.source_website + pdf_url[0].get("href")
177 add_pdf_link_to_xarticle(xarticle, pdf_url)
179 # PAGES
180 pages = soup.select_one("span.pagine")
181 if pages:
182 pages_to = re.compile(r"(\(?\d+\)?)?-?(\(?\d+\)?)").search(pages.get_text())
183 if pages_to:
184 parts = pages_to[0].split("-")
185 first_page = parts[0].replace("(", "").replace(")", "")
186 if len(parts) > 1:
187 last_page = parts[1].replace("(", "").replace(")", "")
188 xarticle.lpage = last_page
189 xarticle.fpage = first_page
191 # Biblio
192 bibitems_tags = soup.select("div.biblio div.bibitem")
193 bibitems = [self.parse_ref(item) for item in bibitems_tags]
194 if len(bibitems) > 0:
195 xarticle.abstracts.append(self.create_bibliography(bibitems))
197 # metadata
198 reg_zbl_id = re.compile(r"Zbl \w+")
199 reg_mr_id = re.compile(r"MR \d+")
201 medata_bloc = soup.select_one("div.referenza")
202 if not medata_bloc:
203 raise ValueError("metadata_bloc cannot be found")
204 mr_id = [link for link in medata_bloc.find_all("a") if reg_mr_id.search(link.get_text())]
205 zbl_id = [link for link in medata_bloc.find_all("a") if reg_zbl_id.search(link.get_text())]
207 if len(zbl_id) > 0:
208 zblid = zbl_id[0].get("href")
209 pos = zblid.find("?q=an:")
210 if pos > 0:
211 zblid = zblid[pos + 6 :]
212 xarticle.extids.append(("zbl-item-id", zblid))
213 if len(mr_id) > 0:
214 mr_id = mr_id[0].get_text()
215 mr_id = mr_id.split("MR ")
216 mr_id = mr_id[1]
217 xarticle.extids.append(("mr-item-id", mr_id))
219 if f"{xissue.pid}_{xarticle.pid}" in self.title_corrections:
220 xarticle.title_tex = self.title_corrections[f"{xissue.pid}_{xarticle.pid}"]
222 content = self.download_file(url, headers={"cookie": "lingua=it; matematica=tex"})
223 xarticle = self.parse_article_content_bdim_it(content, xissue, xarticle, url)
224 return xarticle
226 def parse_article_content_bdim_it(self, content, xissue, xarticle: ArticleData, url):
227 soup = BeautifulSoup(content, "html.parser")
229 # Trans_title
230 trans_title_node = soup.select_one("span.titolo_trad")
231 if trans_title_node:
232 xarticle.trans_title_tex = trans_title_node.get_text()
234 # trans abstract
235 abstract_section_node = soup.select_one("div.sunto")
236 if abstract_section_node:
237 abstract = str(abstract_section_node.get_text())
238 if xarticle.abstracts[0]["value_tex"] != abstract:
239 xabstract = create_abstract(
240 tag="abstract", value_tex=abstract, lang=self.detect_language(abstract)
241 )
242 xarticle.abstracts.append(xabstract)
244 if xarticle.trans_title_tex or len(xarticle.abstracts) > 1:
245 xarticle.trans_lang = "en" if xarticle.lang == "it" else "it"
246 return xarticle
248 def parse_ref(self, item: Tag):
249 value_xml = ""
250 # First pass : we create an semi-complete XML Jats string, except for the authors
251 # that we store inside authors_list to be serialized at the end
252 authors_list: list[ContribAuthor] = []
253 for c in item.children:
254 c_text = escape(c.text)
255 if isinstance(c, str):
256 value_xml += c_text
257 continue
259 if not isinstance(c, Tag):
260 raise NotImplementedError("bibitem_tag is not a Tag or a string")
262 if c.name == "a":
263 a_xml, is_badge = self.parse_a_tag(c)
264 if is_badge:
265 value_xml = regex.sub(r" \| $", "", value_xml)
266 value_xml += a_xml
267 continue
269 child_class = c.get("class")
270 if not child_class:
271 value_xml += c_text
272 elif "bautore" in child_class:
273 # TODO : parse firstname and lastname
274 author_data, author_xml = self.parse_biblio_author_tag(c, len(authors_list))
275 authors_list.append(author_data)
276 value_xml += author_xml
278 elif "titolo" in child_class:
279 value_xml += get_title_xml(c_text)
280 elif "rivista" in child_class:
281 value_xml += get_source_xml(c_text)
282 elif "anno" in child_class:
283 value_xml += get_year_xml(c_text)
284 elif "volume" in child_class:
285 value_xml += get_volume_xml(c_text)
286 elif "publisher" in child_class:
287 value_xml += get_publisher_xml(c_text)
288 else:
289 # booktitle
290 value_xml += c_text
292 # In order to have a valid Jats xml, we have to group all authors into the person-group xml tag.
293 authors_occurence = regex.compile(r"{author_\d}").findall(value_xml)
294 if len(authors_occurence) > 0:
295 first_author = value_xml.index(authors_occurence[0])
296 last_author = value_xml.index(authors_occurence[-1]) + len(authors_occurence[-1])
297 value_xml = (
298 value_xml[:first_author]
299 + get_all_authors_xml(value_xml[first_author:last_author], authors_list)
300 + value_xml[last_author:]
301 )
303 return self.create_crawled_bibitem(value_xml)
304 # return self.create_crawled_bibitem([*bib_elements, *bib_link_elements])
306 def parse_a_tag(self, a_tag: Tag):
307 a_text = escape(a_tag.text)
308 href = a_tag.get("href")
309 if not href:
310 return a_text, False
311 elif isinstance(href, list):
312 raise ValueError("a tag has multiple href values !")
313 else:
314 a_type = "uri"
315 if a_text.startswith("MR "):
316 a_type = "mr-item-id"
317 a_text = a_text.removeprefix("MR ")
318 elif a_text.startswith("Zbl "):
319 a_type = "zbl-item-id"
320 a_text = a_text.removeprefix("Zbl ")
321 elif a_text == "fulltext (doi)":
322 a_type = "doi"
323 a_text = a_text.removeprefix("http://dx.doi.org/")
324 return get_ext_link_xml(escape(href), a_text, a_type), a_type != "uri"
326 def parse_biblio_author_tag(self, author_tag: Tag, index: int = 0):
327 value_xml = ""
328 author_data: ContribAuthor = {"template_str": ""}
329 for c in author_tag.children:
330 c_text = escape(c.text)
331 if isinstance(c, str):
332 author_data["template_str"] += c_text
333 continue
335 if not isinstance(c, Tag):
336 raise NotImplementedError("author_tag is not a Tag or a string")
337 # given name = cognome = prénom
338 # surname = nome = nom de famille
339 child_class = c.get("class")
340 if not child_class:
341 value_xml += c_text
342 elif "cognome" in child_class:
343 c.replace_with("{given_names}")
344 author_data["given_names"] = c_text
345 author_data["template_str"] += "{given_names}"
346 elif "nome" in child_class:
347 c.replace_with("{surname}")
348 author_data["surname"] = c_text
349 author_data["template_str"] += "{surname}"
350 value_xml += "{author_" + str(index) + "}"
352 return author_data, value_xml