def results(self):
'''Returns results as a JSON encodable Python value.
This calls :meth:`SearchEngine.recommendations` and converts
the results returned into JSON encodable values. Namely,
feature collections are slimmed down to only features that
are useful to an end-user.
'''
results = self.recommendations()
transformed = []
for t in results['results']:
if len(t) == 2:
cid, fc = t
info = {}
elif len(t) == 3:
cid, fc, info = t
else:
bottle.abort(500, 'Invalid search result: "%r"' % t)
result = info
result['content_id'] = cid
if not self.params['omit_fc']:
result['fc'] = util.fc_to_json(fc)
transformed.append(result)
results['results'] = transformed
return results
def results(self):
'''Returns results as a JSON encodable Python value.
This calls :meth:`SearchEngine.recommendations` and converts
the results returned into JSON encodable values. Namely,
feature collections are slimmed down to only features that
are useful to an end-user.
'''
results = self.recommendations()
transformed = []
for t in results['results']:
if len(t) == 2:
cid, fc = t
info = {}
elif len(t) == 3:
cid, fc, info = t
else:
bottle.abort(500, 'Invalid search result: "%r"' % t)
result = info
result['content_id'] = cid
if not self.params['omit_fc']:
result['fc'] = util.fc_to_json(fc)
transformed.append(result)
results['results'] = transformed
return results
def v1_fc_get(visid_to_dbid, store, cid):
"""Retrieve a single feature collection.
The route for this endpoint is:
``/dossier/v1/feature-collections/<content_id>``.
This endpoint returns a JSON serialization of the feature collection
identified by ``content_id``.
"""
fc = store.get(visid_to_dbid(cid))
if fc is None:
bottle.abort(404, 'Feature collection "%s" does not exist.' % cid)
return util.fc_to_json(fc)
def v1_fc_get(visid_to_dbid, store, cid):
'''Retrieve a single feature collection.
The route for this endpoint is:
``/dossier/v1/feature-collections/<content_id>``.
This endpoint returns a JSON serialization of the feature collection
identified by ``content_id``.
'''
fc = store.get(visid_to_dbid(cid))
if fc is None:
bottle.abort(404, 'Feature collection "%s" does not exist.' % cid)
return util.fc_to_json(fc)
def v1_fc_put(request, response, store, kvlclient, tfidf, cid):
'''Store a single feature collection.
The route for this endpoint is:
``PUT /dossier/v1/feature-collections/<content_id>``.
``content_id`` is the id to associate with the given feature
collection. The feature collection should be in the request
body serialized as JSON.
Alternatively, if the request's ``Content-type`` is
``text/html``, then a feature collection is generated from the
HTML. The generated feature collection is then returned as a
JSON payload.
This endpoint returns status ``201`` upon successful
storage otherwise. An existing feature collection with id
``content_id`` is overwritten.
'''
tfidf = tfidf or None
if request.headers.get('content-type', '').startswith('text/html'):
url = urllib.unquote(cid.split('|', 1)[1])
fc = etl.create_fc_from_html(url, request.body.read(), tfidf=tfidf)
logger.info('created FC for %r', cid)
store.put([(cid, fc)])
return fc_to_json(fc)
else:
fc = FeatureCollection.from_dict(json.load(request.body))
keywords = set()
for subid in fc:
if subid.startswith('subtopic'):
ty = subtopic_type(subid)
if ty in ('text', 'manual'):
# get the user selected string
data = typed_subtopic_data(fc, subid)
map(keywords.add, cleanse(data).split())
keywords.add(cleanse(data))
folders = Folders(kvlclient)
for fid, sid in folders.parent_subfolders(cid):
if not isinstance(fid, unicode):
fid = fid.decode('utf8')
if not isinstance(sid, unicode):
sid = sid.decode('utf8')
keywords.add(cleanse(fid))
keywords.add(cleanse(sid))
fc[u'keywords'] = StringCounter(keywords)
store.put([(cid, fc)])
response.status = 201
def v1_fc_put(request, response, store, kvlclient, tfidf, cid):
'''Store a single feature collection.
The route for this endpoint is:
``PUT /dossier/v1/feature-collections/<content_id>``.
``content_id`` is the id to associate with the given feature
collection. The feature collection should be in the request
body serialized as JSON.
Alternatively, if the request's ``Content-type`` is
``text/html``, then a feature collection is generated from the
HTML. The generated feature collection is then returned as a
JSON payload.
This endpoint returns status ``201`` upon successful
storage otherwise. An existing feature collection with id
``content_id`` is overwritten.
'''
tfidf = tfidf or None
if request.headers.get('content-type', '').startswith('text/html'):
url = urllib.unquote(cid.split('|', 1)[1])
fc = etl.create_fc_from_html(url, request.body.read(), tfidf=tfidf)
logger.info('created FC for %r', cid)
store.put([(cid, fc)])
return fc_to_json(fc)
else:
fc = FeatureCollection.from_dict(json.load(request.body))
keywords = set()
for subid in fc:
if subid.startswith('subtopic'):
ty = subtopic_type(subid)
if ty in ('text', 'manual'):
# get the user selected string
data = typed_subtopic_data(fc, subid)
map(keywords.add, cleanse(data).split())
keywords.add(cleanse(data))
folders = Folders(kvlclient)
for fid, sid in folders.parent_subfolders(cid):
if not isinstance(fid, unicode):
fid = fid.decode('utf8')
if not isinstance(sid, unicode):
sid = sid.decode('utf8')
keywords.add(cleanse(fid))
keywords.add(cleanse(sid))
fc[u'keywords'] = StringCounter(keywords)
store.put([(cid, fc)])
response.status = 201
def v1_random_fc_get(response, dbid_to_visid, store):
"""Retrieves a random feature collection from the database.
The route for this endpoint is:
``GET /dossier/v1/random/feature-collection``.
Assuming the database has at least one feature collection,
this end point returns an array of two elements. The first
element is the content id and the second element is a
feature collection (in the same format returned by
:func:`dossier.web.routes.v1_fc_get`).
If the database is empty, then a 404 error is returned.
Note that currently, this may not be a uniformly random sample.
"""
# Careful, `store.scan()` would be obscenely slow here...
sample = streaming_sample(store.scan_ids(), 1, 1000)
if len(sample) == 0:
bottle.abort(404, "The feature collection store is empty.")
return [dbid_to_visid(sample[0]), util.fc_to_json(store.get(sample[0]))]
def v1_random_fc_get(response, dbid_to_visid, store):
'''Retrieves a random feature collection from the database.
The route for this endpoint is:
``GET /dossier/v1/random/feature-collection``.
Assuming the database has at least one feature collection,
this end point returns an array of two elements. The first
element is the content id and the second element is a
feature collection (in the same format returned by
:func:`dossier.web.routes.v1_fc_get`).
If the database is empty, then a 404 error is returned.
Note that currently, this may not be a uniformly random sample.
'''
# Careful, `store.scan()` would be obscenely slow here...
sample = streaming_sample(store.scan_ids(), 1, 1000)
if len(sample) == 0:
bottle.abort(404, 'The feature collection store is empty.')
return [dbid_to_visid(sample[0]), util.fc_to_json(store.get(sample[0]))]
