def setup_class(cls):
Keywords.search().delete()
Faculty.search().delete()
sleep(3)
will = Faculty(meta={"id": 379},
name="William.Allison",
full_name="Allison, William.",
faculty_id=379,
email="*****@*****.**")
will.save()
will_keywords = Keywords(
faculty_id=379,
datasource="test",
approach_id=0,
keywords=["zebrafish", "evolutionary processes", "marine"])
will_keywords.save()
vince = Faculty(meta={"id": 356},
name="Vincent.Bouchard",
full_name="Bouchard, Vincent",
faculty_id=356,
email="*****@*****.**")
vince.save()
vince_keywords = Keywords(
faculty_id=356,
datasource="test",
approach_id=0,
keywords=["string theory", "number theory", "mathematics"])
vince_keywords.save()
sleep(3)
def get(self):
"""HTTP Get that enables boolean query processing and search."""
query = request.args.get('query')
if query is None:
abort(400)
q_parser = parser.QueryParser()
q_builder = builder.QueryBuilder()
pf_query = q_parser.parse_query(query)
elastic_query = q_builder.build(pf_query)
# response = Faculty.search().query(elastic_query).execute()
response = Keywords.search().query(elastic_query).execute()
faculty_with_keywords = set()
for keywords in response:
faculty_with_keywords.add(keywords.faculty_id)
schema = FacultySchema()
results = [
schema.dump(Faculty.safe_get(faculty_id))
for faculty_id in faculty_with_keywords
]
return {"data": results}
def test_simple_search(self):
"""Test the results of queries on actual data."""
query = "zebrafish"
elastic_query = self.build_query(query)
results = Keywords.search().query(elastic_query).execute()
assert len(results) == 1
query = "zebrafish OR mathematics"
elastic_query = self.build_query(query)
results = Keywords.search().query(elastic_query).execute()
assert len(results) == 2
query = "zebrafish AND mathematics"
elastic_query = self.build_query(query)
results = Keywords.search().query(elastic_query).execute()
assert len(results) == 0
def add_name_search_results(faculty_with_keywords, pf_query):
""" Inserts results of pf_query on faculty index into faculty_with_keywords.
If an faculty is returned from the query, but does not currently exist in
faculty_with_words, the faculty member plus their entire keyword set,
is inserted into the dictionary.
:param faculty_with_keywords: Dictionary of faculty id's to keywords.
:param pf_query: Postfix query created by the Query Builder.
:returns: faculty_with_keywords also containing faculty whose names match the
query.
"""
# Add functionality of searching names in query.
q_builder = builder.QueryBuilder()
name_elastic_query = q_builder.build(pf_query, search_field="full_name")
names_response = Faculty.search().query(name_elastic_query).execute()
for faculty in names_response:
# We already have the faculty who was searched in the results.
if faculty.faculty_id in faculty_with_keywords:
continue
faculty_keywords = Keywords.search()\
.query('match', faculty_id=faculty.faculty_id).execute()
faculty_with_keywords[faculty.faculty_id] = faculty_keywords
def get(self):
"""HTTP Get that enables boolean query processing and search."""
query = request.args.get('query')
dept = request.args.get('department')
if query is None:
abort(400)
# Take dept string and turn it into an easy to compare set.
try:
if dept is not None:
dept_filter = set([x.strip() for x in dept.split(',')])
else:
dept_filter = set()
except:
abort(400)
q_parser = parser.QueryParser()
q_builder = builder.QueryBuilder()
try:
pf_query = q_parser.parse_query(query)
except parser.QueryException:
abort(400)
keywords_elastic_query = q_builder.build(pf_query)
response = Keywords.search().query(keywords_elastic_query).execute()
faculty_with_keywords = SearchAPI.get_faculty_with_keywords(response)
SearchAPI.add_name_search_results(faculty_with_keywords, pf_query)
return {
"data": SearchAPI.create_results(faculty_with_keywords, dept_filter)
}
def get(self):
"""HTTP Get that enables boolean query processing and batch."""
response = Keywords.search().query().execute()
schema = KeywordSchema()
results = [schema.dump(s) for s in response]
return {"data": results}
def get(self):
"""HTTP Get for the keyword 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 keyword source.
:param approach: URL Parameter to filter results based on the approach_id.
:return:
"""
id = request.args.get("id", type=int)
source = request.args.get("source", type=str)
approach = request.args.get("approach", type=int)
search = Keywords.search()
search = apply_filters(search,
faculty_id=id,
datasource=source,
approach_id=approach)
query, pagination_info = paginate_query(request, search)
response = query.execute()
schema = KeywordSchema()
results = [schema.dump(keyword) for keyword in response]
return {"pagination": pagination_info, "data": results}
def get(self):
query = request.args.get('query')
approach = request.args.get('approach')
approach = int(approach)
if query is None or approach is None:
abort(400)
q_parser = parser.QueryParser()
q_builder = builder.QueryBuilder()
try:
pf_query = q_parser.parse_query(query)
except parser.QueryException:
abort(400)
keywords_elastic_query = q_builder.build(pf_query)
response = Keywords.search().query(keywords_elastic_query).execute()
faculty_with_keywords = SearchAPI.get_faculty_with_keywords(response)
empty_profs = []
for faculty_id, keywords in faculty_with_keywords.items():
filtered_keywords = []
for keyword_obj in keywords:
if keyword_obj.approach_id == approach:
filtered_keywords.append(keyword_obj)
faculty_with_keywords[faculty_id] = filtered_keywords
if len(filtered_keywords) == 0:
empty_profs.append(faculty_id)
for faculty_id in empty_profs:
del faculty_with_keywords[faculty_id]
results = SearchAPI.create_results(faculty_with_keywords,
dept_filter=[])
str_io = BytesIO()
str_io.write(json.dumps(results, indent=4).encode())
str_io.seek(0)
return send_file(str_io,
as_attachment=True,
attachment_filename="batch_results.txt")
def run(self, data):
"""Updates a Keyword object information in Elasticsearch, based on the generator results.
:param data: list of keyword objects
:return: returns True.
"""
for key_object in data:
key_search = Keywords.search().query('match', faculty_id=key_object.faculty_id) \
.query('match' , datasource = key_object.datasource) \
.query('match', approach_id = key_object.approach_id) \
.execute()
try:
keywords = key_search[0]
except IndexError:
keywords = Keywords()
keywords.faculty_id = key_object.faculty_id
keywords.datasource = key_object.datasource
keywords.approach_id = key_object.approach_id
keywords.keywords = key_object.keywords
keywords.save()
return True
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()
Keywords.search().query('match', faculty_id=faculty.faculty_id) \
.query("match", approach_id="4") \
.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)
try:
scrapps = scraper.get_scrapps()
except ScraperException:
return faculty
keywords_and_description = scrapps[0]
titles = scrapps[1:]
doc = Document()
doc.faculty_id = faculty.faculty_id
doc.source = "ResearchId"
keywords = Keywords()
keywords.faculty_id = faculty.faculty_id
keywords.datasource = "user_keywords"
keywords.approach_id = "4"
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"]
keywords.keywords = keywords_and_description.meta_data[
"keywords"]
except:
print("No keywords")
doc.date = datetime.now()
doc.save()
keywords.save()
for scrapp in titles:
doc = Document()
if scrapp.data_source == ScraperType.RESEARCHID:
doc.source = "ResearchId"
else:
doc.source = "ResearchIdAbstract"
doc.faculty_id = faculty.faculty_id
if scrapp.data_source == ScraperType.RESEARCHID:
doc.text = scrapp.title
else:
doc.text = scrapp.meta_data["text"]
doc.date = datetime.now()
doc.save()
return faculty
def teardown_class(cls):
Faculty.get(id=379).delete()
Faculty.get(id=356).delete()
Keywords.search().query('match', faculty_id=379).delete()
Keywords.search().query('match', faculty_id=356).delete()