def filter_query(q, filters):
"""Apply a list of filters to the given query."""
for field, values in filters.items():
if field == 'collection_id' and len(values):
q = add_filter(q, {'terms': {field: list(values)}})
elif field == 'dataset' and len(values):
q = add_filter(q, {'terms': {field: list(values)}})
elif field == 'publication_date':
# XXX handle multiple values
date_from = list(values)[0]
# YYYY-MM
date_from = date_from + "-01"
date_from = datetime.datetime.strptime(date_from, "%Y-%m-%d")
date_to = date_from + datetime.timedelta(days=32)
date_to = date_to.replace(day=1)
q = add_filter(
q, {
'range': {
field: {
'gte': date_from.strftime("%Y-%m-%d"),
'lt': date_to.strftime("%Y-%m-%d")
}
}
})
else:
for value in values:
if value is not None:
q = add_filter(q, {'term': {field: value}})
return q
def filter_query(q, filters):
"""Apply a list of filters to the given query."""
for field, values in filters.items():
if field == 'collection_id' and len(values):
q = add_filter(q, {'terms': {field: list(values)}})
elif field == 'dataset' and len(values):
q = add_filter(q, {'terms': {field: list(values)}})
else:
for value in values:
if value is not None:
q = add_filter(q, {'term': {field: value}})
return q
def filter_query(q, filters, skip=None):
"""Apply a list of filters to the given query."""
or_filters = defaultdict(list)
for field, value in filters:
if field == skip:
continue
if field in OR_FIELDS:
or_filters[field].append(value)
else:
q = add_filter(q, {'term': {field: value}})
for field, value in or_filters.items():
q = add_filter(q, {'terms': {field: value}})
return q
def alert_query(alert):
"""Execute the query and return a set of results."""
q = text_query(alert.query_text)
q = authz_sources_filter(q)
if alert.entity_id:
q = filter_query(q, [('entities.uuid', alert.entity_id)], OR_FIELDS)
if alert.notified_at:
q = add_filter(q, {"range": {"created_at": {"gt": alert.notified_at}}})
q = {'query': q, 'size': 150}
result, hits, output = execute_basic(TYPE_DOCUMENT, q)
sub_queries = []
sources = {}
for doc in hits.get('hits', []):
document = doc.get('_source')
document['id'] = int(doc.get('_id'))
source_id = document['source_id']
if source_id not in sources:
sources[source_id] = Source.by_id(source_id)
if sources[source_id] is None:
continue
document['source'] = sources[source_id]
document['records'] = {'results': [], 'total': 0}
sq = records_query(document['id'], alert.to_query(), size=1)
if sq is not None:
sub_queries.append(json.dumps({}))
sub_queries.append(json.dumps(sq))
output['results'].append(document)
run_sub_queries(output, sub_queries)
return output
def peek_query(args):
if not isinstance(args, MultiDict):
args = MultiDict(args)
text = args.get('q', '').strip()
q = text_query(text)
filters = parse_filters(args)
for entity in args.getlist('entity'):
filters.append(('entities.id', entity))
q = filter_query(q, filters, [])
q = add_filter(
q,
{'not': {
'terms': {
'collection_id': authz.collections(authz.READ)
}
}})
q = {
'query': q,
'size': 0,
'aggregations': {
'collections': {
'terms': {
'field': 'collection_id',
'size': 30
}
}
},
'_source': False
}
# import json
# print json.dumps(q, indent=2)
result = get_es().search(index=get_es_index(),
body=q,
doc_type=TYPE_DOCUMENT)
aggs = result.get('aggregations', {}).get('collections', {})
buckets = aggs.get('buckets', [])
q = Collection.all_by_ids([b['key'] for b in buckets])
q = q.filter(Collection.creator_id != None) # noqa
objs = {o.id: o for o in q.all()}
roles = {}
for bucket in buckets:
collection = objs.get(bucket.get('key'))
if collection is None or collection.private:
continue
if collection.creator_id in roles:
roles[collection.creator_id]['total'] += bucket.get('doc_count')
else:
roles[collection.creator_id] = {
'name': collection.creator.name,
'email': collection.creator.email,
'total': bucket.get('doc_count')
}
roles = sorted(roles.values(), key=lambda r: r['total'], reverse=True)
roles = [format_total(r) for r in roles]
total = result.get('hits', {}).get('total')
return format_total({'roles': roles, 'active': total > 0, 'total': total})
def alert_query(alert):
"""Execute the query and return a set of results."""
q = text_query(alert.query_text)
q = authz_filter(q)
if alert.entity_id:
q = filter_query(q, [('entities.id', alert.entity_id)], OR_FIELDS)
if alert.notified_at:
q = add_filter(q, {"range": {"created_at": {"gt": alert.notified_at}}})
q = {'query': q, 'size': 150}
result, hits, output = execute_basic(TYPE_DOCUMENT, q)
collections = {}
for doc in hits.get('hits', []):
document = doc.get('_source')
document['id'] = int(doc.get('_id'))
document['collections'] = []
for coll in document['collection_id']:
if coll not in authz.collections(authz.READ):
continue
if coll not in collections:
collections[coll] = Collection.by_id(coll)
if collections[coll] is None:
continue
document['collections'].append(collections[coll])
document['records'] = {'results': [], 'total': 0}
output['results'].append(document)
return output
def peek_query(args):
if not isinstance(args, MultiDict):
args = MultiDict(args)
text = args.get('q', '').strip()
q = text_query(text)
filters = parse_filters(args)
for entity in args.getlist('entity'):
filters.append(('entities.id', entity))
q = filter_query(q, filters, [])
q = add_filter(q, {
'not': {
'terms': {
'collection_id': authz.collections(authz.READ)
}
}
})
q = {
'query': q,
'size': 0,
'aggregations': {
'collections': {
'terms': {'field': 'collection_id', 'size': 30}
}
},
'_source': False
}
# import json
# print json.dumps(q, indent=2)
result = get_es().search(index=get_es_index(), body=q,
doc_type=TYPE_DOCUMENT)
aggs = result.get('aggregations', {}).get('collections', {})
buckets = aggs.get('buckets', [])
q = Collection.all_by_ids([b['key'] for b in buckets])
q = q.filter(Collection.creator_id != None) # noqa
objs = {o.id: o for o in q.all()}
roles = {}
for bucket in buckets:
collection = objs.get(bucket.get('key'))
if collection is None or collection.private:
continue
if collection.creator_id in roles:
roles[collection.creator_id]['total'] += bucket.get('doc_count')
else:
roles[collection.creator_id] = {
'name': collection.creator.name,
'email': collection.creator.email,
'total': bucket.get('doc_count')
}
roles = sorted(roles.values(), key=lambda r: r['total'], reverse=True)
roles = [format_total(r) for r in roles]
total = result.get('hits', {}).get('total')
return format_total({
'roles': roles,
'active': total > 0,
'total': total
})
def tabular_query(document_id, sheet, args):
scored = False
q = match_all()
text = args.get('q', '').strip()
if len(text):
scored = True
q = text_query_string(text)
try:
rows = [int(r) for r in args.getlist('row')]
except Exception:
rows = []
if len(rows):
scored = True
q = {
"bool": {
"must": [q],
"should": [{
"constant_score": {
"filter": {
'terms': {
'row_id': rows
}
},
"boost": 1000
}
}]
}
}
q = add_filter(q, {'term': {'document_id': document_id}})
q = add_filter(q, {'term': {'sheet': sheet}})
# pprint(q)
sort = [{'row_id': 'asc'}]
if scored:
sort.insert(0, '_score')
return {
'from': 0,
'size': 100,
'query': q,
'sort': sort,
'_source': ['document_id', 'sheet', 'row_id', 'raw']
}
def authz_filter(q, authz, roles=False):
if authz.is_admin:
return q
fq = {'terms': {'collection_id': list(authz.collections_read)}}
if roles:
fq = {"or": [{'terms': {'roles': list(authz.roles)}}, fq]}
return add_filter(q, fq)
def authz_filter(q, authz, roles=False):
if authz.is_admin:
return q
fq = {'terms': {'collection_id': list(authz.collections_read)}}
if roles:
iq = {'terms': {'roles': list(authz.roles)}}
fq = {'bool': {'should': [iq, fq], 'minimum_should_match': 1}}
return add_filter(q, fq)
def tabular_query(document_id, sheet, args):
scored = False
q = match_all()
text = args.get('q', '').strip()
if len(text):
scored = True
q = text_query_string(text)
try:
rows = [int(r) for r in args.getlist('row')]
except Exception:
rows = []
if len(rows):
scored = True
q = {
"bool": {
"must": q,
"should": {
"constant_score": {
"filter": {'terms': {'row_id': rows}},
"boost": 1000
}
}
}
}
q = add_filter(q, {'term': {'document_id': document_id}})
q = add_filter(q, {'term': {'sheet': sheet}})
# pprint(q)
sort = [{'row_id': 'asc'}]
if scored:
sort.insert(0, '_score')
return {
'from': 0,
'size': 100,
'query': q,
'sort': sort,
'_source': ['document_id', 'sheet', 'row_id', 'raw']
}
def documents_query(args, fields=None, facets=True, newer_than=None):
"""Parse a user query string, compose and execute a query."""
if not isinstance(args, MultiDict):
args = MultiDict(args)
text = args.get('q', '').strip()
q = text_query(text)
q = authz_filter(q)
if newer_than is not None:
q = add_filter(q, {
"range": {
"created_at": {
"gt": newer_than
}
}
})
# Sorting -- should this be passed into search directly, instead of
# these aliases?
sort_mode = args.get('sort', '').strip().lower()
if text or sort_mode == 'score':
sort = ['_score']
elif sort_mode == 'newest':
sort = [{'dates': 'desc'}, {'created_at': 'desc'}, '_score']
elif sort_mode == 'oldest':
sort = [{'dates': 'asc'}, {'created_at': 'asc'}, '_score']
else:
sort = [{'updated_at': 'desc'}, {'created_at': 'desc'}, '_score']
# Extract filters, given in the form: &filter:foo_field=bla_value
filters = []
for key in args.keys():
for value in args.getlist(key):
if not key.startswith('filter:'):
continue
_, field = key.split(':', 1)
filters.append((field, value))
for entity in args.getlist('entity'):
filters.append(('entities.uuid', entity))
aggs = {}
if facets:
aggs = aggregate(q, args, filters)
aggs = facet_source(q, aggs, filters)
q = entity_collections(q, aggs, args, filters)
return {
'sort': sort,
'query': filter_query(q, filters),
'aggregations': aggs,
'_source': fields or DEFAULT_FIELDS
}
def alert_query(alert):
"""Execute the query and return a set of results."""
q = text_query(alert.query_text)
q = authz_filter(q)
if alert.entity_id:
q = filter_query(q, [('entities.id', alert.entity_id)], OR_FIELDS)
if alert.notified_at:
q = add_filter(q, {
"range": {
"created_at": {
"gt": alert.notified_at
}
}
})
q = {
'query': q,
'size': 150
}
result, hits, output = execute_basic(TYPE_DOCUMENT, q)
sub_queries = []
collections = {}
for doc in hits.get('hits', []):
document = doc.get('_source')
document['id'] = int(doc.get('_id'))
document['collections'] = []
for coll in document['collection_id']:
if coll not in authz.collections(authz.READ):
continue
if coll not in collections:
collections[coll] = Collection.by_id(coll)
if collections[coll] is None:
continue
document['collections'].append(collections[coll])
document['records'] = {'results': [], 'total': 0}
sq = records_query(document['id'], alert.to_query(), size=1)
if sq is not None:
sub_queries.append(json.dumps({}))
sub_queries.append(json.dumps(sq))
output['results'].append(document)
run_sub_queries(output, sub_queries)
return output
def alert_query(alert):
"""Execute the query and return a set of results."""
q = text_query(alert.query_text)
q = authz_sources_filter(q)
if alert.entity_id:
q = filter_query(q, [('entities.uuid', alert.entity_id)], OR_FIELDS)
if alert.notified_at:
q = add_filter(q, {
"range": {
"created_at": {
"gt": alert.notified_at
}
}
})
q = {
'query': q,
'size': 150
}
result, hits, output = execute_basic(TYPE_DOCUMENT, q)
sub_queries = []
sources = {}
for doc in hits.get('hits', []):
document = doc.get('_source')
document['id'] = int(doc.get('_id'))
source_id = document['source_id']
if source_id not in sources:
sources[source_id] = Source.by_id(source_id)
if sources[source_id] is None:
continue
document['source'] = sources[source_id]
document['records'] = {'results': [], 'total': 0}
sq = records_query(document['id'], alert.to_query(), size=1)
if sq is not None:
sub_queries.append(json.dumps({}))
sub_queries.append(json.dumps(sq))
output['results'].append(document)
run_sub_queries(output, sub_queries)
return output
def documents_query(state, fields=None, facets=True, since=None):
"""Parse a user query string, compose and execute a query."""
# This used to be several functions, but it's actually incredibly
# procedural and so it's been linearised into one function. To really
# clean this up, I think it should be based around an object model of
# some sort.
q = text_query(state.text)
if state.raw_query:
q = {"bool": {"must": [q, state.raw_query]}}
q = authz_filter(q, state.authz, roles=False)
# Used by alerting to find only updated results:
if since is not None:
q = add_filter(q, {"range": {"created_at": {"gt": since}}})
# Sorting
if state.sort == 'newest':
sort = [{'dates': 'desc'}, {'created_at': 'desc'}, '_score']
if state.sort == 'oldest':
sort = [{'dates': 'asc'}, {'created_at': 'asc'}, '_score']
else:
sort = ['_score']
# TODO: find a better way to handle "slightly special" aggregations like
# entities and collections.
aggs = {'scoped': {'global': {}, 'aggs': {}}}
if facets:
facets = list(state.facet_names)
if 'collections' in facets:
aggs = facet_collections(state, q, aggs)
facets.remove('collections')
if 'entities' in facets:
aggs = facet_entities(state, aggs)
facets.remove('entities')
aggs = aggregate(state, q, aggs, facets)
# allow plug-ins to post-process the query.
signals.document_query_process.send(q=q, state=state)
q = {
'sort': sort,
'size': state.limit,
'from': state.offset,
'query': filter_query(q, state.filters),
'aggregations': aggs,
'_source': fields or DEFAULT_FIELDS
}
result, hits, output = execute_basic(TYPE_DOCUMENT, q)
# This will add labels and other contextual information.
output['facets'] = parse_facet_result(state, result)
# After the main query has run, a sub-query will be run for each returned
# result in order to find relevant records for result highlighting.
sub_shoulds = records_query_shoulds(state)
sub_queries = []
for doc in hits.get('hits', []):
document = doc.get('_source')
document['id'] = int(doc.get('_id'))
document['score'] = doc.get('_score')
document['records'] = {'results': [], 'total': 0}
collection_id = document.get('collection_id')
try:
# FIXME: there's got to be a nicer way of doing this....
document['public'] = state.authz.collection_public(collection_id)
except:
document['public'] = None
sq = records_query_internal(document['id'], sub_shoulds)
if sq is not None:
sub_queries.append(json.dumps({}))
sub_queries.append(json.dumps(sq))
output['results'].append(document)
if not len(sub_queries):
return output
body = '\n'.join(sub_queries)
res = es.msearch(index=es_index, doc_type=TYPE_RECORD, body=body)
for doc in output['results']:
for sq in res.get('responses', []):
sqhits = sq.get('hits', {})
doc['records']['total'] = sqhits.get('total', 0)
for hit in sqhits.get('hits', {}):
record = hit.get('_source')
if doc['id'] != record['document_id']:
continue
hlt = hit.get('highlight', {})
texts = hlt.get('text', []) or hlt.get('text_latin', [])
texts = [clean_highlight(t) for t in texts]
texts = [t for t in texts if len(t)]
if len(texts):
record['text'] = texts[0]
doc['records']['results'].append(record)
return output