def work(self):
"""
Look for Documents in the given session Return for which no Analysis exists and
creates one with Status.New. Returns True iff some Analyses were created
"""
# start a new session for each job
session = Session()
try:
# Get a Document
# ... for which no Analysis exists
# ... and lock it for updates
# ... sort by created date
# ... pick the first (oldest)
gkgs = session.query(Gkg) \
.filter(~session.query(Analysis).filter(Gkg.id == Analysis.gkg_id).exists()) \
.with_for_update() \
.order_by(Gkg.date) \
.limit(1000).all()
if len(gkgs) == 0:
return False # no work to be done
for gkg in gkgs:
analysis = Analysis(gkg=gkg, status=Status.NEW)
session.add(analysis)
session.commit()
logger.info(
"Worker {} created Analysis {} in status {}".format(
os.getpid(), analysis.gkg_id, analysis.status))
finally:
# make sure to release a FOR UPDATE lock, if we got one
if session is not None:
session.rollback()
session.close()
return True
def work(self):
"""
Look for analyses in the given session and run function on them
if any are found, managing status appropriately. Return True iff some Analyses were processed (successfully or not)
"""
# start a new session for each job
session = Session()
try:
# Get an analysis
# ... and lock it for updates
# ... that meets the conditions specified in the filter function
# ... sort by updated date
# ... pick the first (oldest)
analysis = self.filter_function(session.query(Analysis)) \
.with_for_update() \
.order_by(Analysis.updated) \
.first()
if analysis is None:
return False # no work to be done
analysis_status = analysis.status
analysis.create_new_version(self.working_status)
logger.info("Worker {} claimed Analysis {} in status {}".format(
os.getpid(), analysis.gkg_id, analysis_status))
finally:
# make sure to release a FOR UPDATE lock, if we got one
session.rollback()
start = time.time()
try:
# set a timeout so if this worker stalls, we recover
signal.alarm(self.timeout_seconds)
# actually run the work function on this analysis
self.function(analysis)
delta = time.time() - start
logger.info("Worker {} processed Analysis {} {} -> {} {}s".format(
os.getpid(), analysis.gkg_id, analysis_status,
self.success_status, delta))
analysis.error_msg = None
analysis.processing_time = delta
analysis.create_new_version(self.success_status)
except Exception as e:
delta = time.time() - start
logger.warning(
"Worker {} failed to process Analysis {} {} -> {}".format(
os.getpid(), analysis.gkg_id, analysis_status,
self.failure_status),
exc_info=e)
analysis.error_msg = str(e)
analysis.processing_time = delta
analysis.create_new_version(self.failure_status)
session.commit()
finally:
# clear the timeout
signal.alarm(0)
if session is not None:
session.rollback()
session.close()
return True
def map_week_mview():
session = Session()
try:
entries = get_map_week(session)
resp = jsonify(entries)
resp.status_code = 200
return resp
finally:
session.close()
def wordcloud():
session = Session()
try:
data = request.get_json(silent=True) or request.form
filters = filter_params(data)
result = get_wordcloud(session, engine, **filters)
resp = jsonify(result)
resp.status_code = 200
return resp
finally:
session.close()
def histogram():
session = Session()
try:
data = request.get_json(silent=True) or request.form
filters = filter_params(data)
result = get_histogram_counts(session, **filters)
resp = jsonify(result)
resp.status_code = 200
return resp
finally:
session.close()
def homepage():
session = Session()
try:
articles = session.query(Analysis).order_by(desc(
Analysis.updated)).limit(10).all()
counts = Analysis.status_counts(session)
cat_counts = Analysis.category_counts(session)
return render_template('index.html',
articles=articles,
counts=counts,
cat_counts=cat_counts)
finally:
session.close()
def urllist():
session = Session()
try:
data = request.get_json(silent=True) or request.form
filters = filter_params(data)
limit = data.get('limit', 32)
offset = data.get('offset', 0)
entries = get_urllist(session, limit=limit, offset=offset, **filters)
count = get_count(session, **filters)
resp = jsonify({'entries': entries, 'nentries': count})
resp.status_code = 200
return resp
finally:
session.close()
def article(doc_id):
session = Session()
try:
analysis = session.query(Analysis) \
.filter(Analysis.gkg_id == doc_id).one()
coords = {
tuple(l.latlong.split(","))
for f in analysis.facts for l in f.locations
if l.latlong is not None
}
return render_template('article.html',
article=analysis,
coords=list(coords))
finally:
session.close()
def add_url():
url = request.form['url']
logger.info("Scraping by url: {url}".format(url=url))
if url is None:
flash(u'Something went wrong. Please try again.', 'danger')
return redirect(url_for('/'))
article = Gkg(document_identifier=url)
session = Session()
try:
session.add(article)
session.commit()
flash(u"{} was successfully added".format(url), 'success')
return redirect('/')
finally:
session.close()
def search_url():
url = request.args.get('url')
if url is None:
return json.dumps({'success': False}), 422, {
'ContentType': 'application/json'
}
session = Session()
try:
gkg = session.query(Gkg).filter(
Gkg.document_identifier.like("%" + url + "%")).order_by(
Gkg.date.desc()).first()
if gkg:
resp = jsonify({'doc_id': gkg.id})
resp.status_code = 200
return resp
else:
return json.dumps({'success': False}), 422, {
'ContentType': 'application/json'
}
finally:
session.close()
def urllist_grouped():
session = Session()
try:
data = request.get_json(silent=True) or request.form
filters = filter_params(data)
limit = data.get('limit', 32)
offset = data.get('offset', 0)
entries = get_urllist_grouped(session,
limit=limit,
offset=offset,
**filters)
# TODO for url_list grouped count should be the number of groups rather than the number of entries
factcount = get_count(session, **filters)
groupcount = get_group_count(session, **filters)
resp = jsonify({
'groups': entries,
'ngroups': groupcount,
'tot_nfacts': factcount
})
resp.status_code = 200
return resp
finally:
session.close()
import string
import numpy as np
import pandas as pd
from idetect.nlp_models.category import *
from idetect.nlp_models.relevance import *
from idetect.nlp_models.base_model import CustomSklLsiModel
if __name__ == "__main__":
# Create the Database
engine = create_engine(db_url())
Session.configure(bind=engine)
Base.metadata.create_all(engine)
session = Session()
# Load the Countries data if necessary
countries = session.query(Country).all()
if len(countries) == 0:
load_countries(session)
# Load the Keywords if neccessary
keywords = session.query(FactKeyword).all()
if len(keywords) == 0:
load_terms(session)
session.close()
# Load the Classifier models once to ensure they are downloaded
CategoryModel()
RelevanceModel()
def analyse_url():
session = Session()
status = None
gkg_id = None
try:
url = request.get_json(silent=True)['url'] or request.form['url']
except Exception as e:
return json.dumps({
'success': False,
'Exception': str(e),
'status': 'missing or null url parameter'
}), 422, {
'ContentType': 'application/json'
}
if url is None:
return json.dumps({
'success': False,
'status': 'null url parameter'
}), 422, {
'ContentType': 'application/json'
}
gkg = session.query(Gkg.id).filter(
Gkg.document_identifier.like("%" + url + "%")).order_by(
Gkg.date.asc()).first()
if gkg:
gkg_id = gkg.id
status = 'url already in IDETECT DB'
else:
analysis = create_new_analysis_from_url(session, url)
gkg_id = analysis.gkg_id
status = 'url added to IDETECT DB'
try:
work(session, analysis, Status.SCRAPING, Status.SCRAPED,
Status.SCRAPING_FAILED, scrape)
# TODO add classification, missing modules
# work(session,analysis,Status.CLASSIFYING,Status.CLASSIFIED,Status.CLASSIFYING_FAILED,lambda article: classify(article, get_c_m(), get_r_m()))
work(session, analysis, Status.EXTRACTING, Status.EXTRACTED,
Status.EXTRACTING_FAILED, extract_facts)
work(session, analysis, Status.GEOTAGGING, Status.GEOTAGGED,
Status.GEOTAGGING_FAILED, process_locations)
except Exception as e:
return json.dumps({
'success': False,
'Exception': str(e)
}), 422, {
'ContentType': 'application/json'
}
finally:
session.close()
try:
document = get_document(session, gkg_id)
entries = get_facts_for_document(session, gkg_id)
resp = jsonify({
'document': document,
'facts': entries,
'status': status
})
resp.status_code = 200
return resp
finally:
session.close()
