def run(self, data):
"""Performs a scraping of a faculty members GoogleScholar page.
:param data is a faculty object
:return: list of faculty members
"""
faculty = data
if isinstance(faculty, str):
search_results = Faculty.search().query(
'match', name=faculty_name).execute()
if len(search_results) > 1:
# Shouldn't happen, but could.
raise WorkflowException(
"Professor id is ambiguous during search ... More than 1 result"
)
faculty = search_results[0]
faculty_name = faculty.name
Document.search().query('match', faculty_id=faculty.faculty_id) \
.query("match", source="GoogleScholar") \
.delete()
if faculty.google_scholar is not None and "http" in faculty.google_scholar:
scraper = ScraperFactory.create_scraper(faculty.google_scholar,
ScraperType.GOOGLESCHOLAR)
scrapps = scraper.get_scrapps()
for scrapp in scrapps:
doc = Document()
doc.source = "GoogleScholar"
doc.faculty_id = faculty.faculty_id
doc.text = scrapp.title
doc.save()
return faculty
def run(self, data):
"""Performs a scraping of a faculty members ResearchId page.
:param data is a faculty object
:return: last faculty member handled
"""
faculty = data
if isinstance(faculty, str):
search_results = Faculty.search().query('match',
name=faculty).execute()
if len(search_results) > 1:
# Shouldn't happen, but could.
raise WorkflowException(
"Professor id is ambiguous during search ... More than 1 result"
)
faculty = search_results[0]
faculty_name = faculty.name
Document.search().query('match', faculty_id=faculty.faculty_id) \
.query("match", source="ResearchId") \
.delete()
print("Running researchid scrape on {}. Research id {}.".format(
faculty_name, faculty.research_id))
if faculty.research_id is not None:
scraper = ScraperFactory.create_scraper(faculty.research_id,
ScraperType.RESEARCHID)
scrapps = scraper.get_scrapps()
keywords_and_description = scrapps[0]
titles = scrapps[1:]
doc = Document()
doc.faculty_id = faculty.faculty_id
doc.source = "ResearchId"
try:
doc.text = keywords_and_description.meta_data["description"]
except:
print("No description")
doc.text = ""
try:
doc.user_keywords = keywords_and_description.meta_data[
"keywords"]
except:
print("No keywords")
doc.save()
for scrapp in titles:
doc = Document()
doc.source = "ResearchId"
doc.faculty_id = faculty.faculty_id
doc.text = scrapp.title
doc.save()
return faculty
def run(self, data):
"""Updates a Faculty members information in Elasticsearch, based on the result of a scrape.
:param data: list of tuples of form <str, Scrapp>
:return: The updated instance of a Faculty model.
"""
faculty_name = data[0]
scrapp = data[1]
search_results = Faculty.search().query('match',
name=faculty_name).execute()
if len(search_results) > 1:
# Shouldn't happen, but could.
raise WorkflowException(
"Faculty name is ambiguous during search... More than 1 result"
)
faculty = search_results[0]
Document.search().query('match', faculty_id=faculty.faculty_id) \
.query("match", source="Profile") \
.delete()
if "orcid_link" in scrapp.meta_data:
faculty.orc_id = scrapp.meta_data["orcid_link"]
if "researchid_link" in scrapp.meta_data:
faculty.research_id = scrapp.meta_data["researchid_link"]
if "googlescholar_link" in scrapp.meta_data:
faculty.google_scholar = scrapp.meta_data["googlescholar_link"]
if "text" in scrapp.meta_data:
doc_search = Document.search().query('match', faculty_id=faculty.faculty_id) \
.query('match', source = "profile") \
.execute()
try:
doc = doc_search[0]
except IndexError:
doc = Document()
doc.faculty_id = faculty.faculty_id
doc.source = "profile"
doc.text = scrapp.meta_data["text"]
doc.date = datetime.now()
doc.save()
faculty.save()
return faculty
def run(self, data):
"""Performs a scraping of a faculty members GoogleScholar page.
:param data is a faculty object
:return: last faculty member handled
"""
no_text_count = 0
for faculty in data:
faculty_name = faculty.name
search_results = Faculty.search().query('match', name=faculty_name).execute()
if len(search_results) > 1:
# Shouldn't happen, but could.
raise WorkflowException("Professor id is ambiguous during search ... More than 1 result")
search_dup = Document.search().query('match', faculty_id=faculty.faculty_id).query("match", source="GoogleScholar")
search_dup.delete()
faculty = search_results[0]
if faculty.google_scholar is not None and "http" in faculty.google_scholar:
scraper = ScraperFactory.create_scraper(faculty.google_scholar, ScraperType.GOOGLESCHOLAR)
scrapps = scraper.get_scrapps()
for scrapp in scrapps:
doc = Document()
doc.source = "GoogleScholar"
doc.faculty_id = faculty.faculty_id
doc.text = scrapp.title
doc.save()
else:
no_text_count += 1
print("NO TEXT COUNT = ", no_text_count)
return faculty
def run(self, data):
"""Performs a scraping of a faculty members ResearchId page.
:param data is a faculty object
:return: last faculty member handled
"""
no_text_count = 0
for faculty in data:
faculty_name = faculty.name
search_results = Faculty.search().query(
'match', name=faculty_name).execute()
if len(search_results) > 1:
# Shouldn't happen, but could.
raise WorkflowException(
"Professor id is ambiguous during search ... More than 1 result"
)
search_dup = Document.search().query(
'match',
faculty_id=faculty.faculty_id).query("match",
source="ResearchId")
search_dup.delete()
faculty = search_results[0]
if faculty.research_id is not None:
scraper = ScraperFactory.create_scraper(
faculty.research_id, ScraperType.RESEARCHID)
scrapps = scraper.get_scrapps()
keywords_and_description = scrapps[0]
titles = scrapps[1:]
doc = Document()
doc.faculty_id = faculty.faculty_id
doc.source = "ResearchId"
try:
doc.text = keywords_and_description.meta_data[
"description"]
except:
print("No description")
doc.text = ""
try:
doc.user_keywords = keywords_and_description.meta_data[
"keywords"]
except:
print("No keywords")
doc.save()
for scrapp in titles:
doc = Document()
doc.source = "ResearchId"
doc.faculty_id = faculty.faculty_id
doc.text = scrapp.title
doc.save()
else:
no_text_count += 1
print("NO TEXT COUNT = ", no_text_count)
return faculty
def get(self):
"""HTTP Get for the document list resource.
Returns a list of faculty members from elasticsearch.
:param page: URL Parameter for the page to fetch. Default - 0.
:param results: URL Parameter for the number of results to return per page. Default - 20.
:param id: URL Parameter to filter the results based on a faculty id.
:param source: URL Parameter to filter the results based on the document source.
:return:
"""
page = request.args.get("page", default=0, type=int)
results = request.args.get("results", default=20, type=int)
id = request.args.get("id", type=int)
source = request.args.get("source", type=str)
# Get the slice of data to retrieve
first = page * results
last = (page * results) + results
search = Document.search()
# Apply filters based on id and source if given
if id is not None:
search = search.filter('match', faculty_id=id)
if source is not None:
search = search.filter('match', source=source)
count = search.count()
query = search[first:last]
response = query.execute()
schema = DocumentSchema()
results = [schema.dump(document) for document in response]
has_previous = True if page > 0 else False
has_next = True if last < count else False
previous = page - 1 if has_previous else None
next = page + 1 if has_next else None
return {
"pagination": {
"has_previous": has_previous,
"has_next": has_next,
"previous_page": previous,
"current_page": page,
"next_page": next,
},
"data": results
}