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 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 analyze_terms(terms, seen=None): if seen is None: seen = set() for term in terms: for doc_id in query_doc_ids(text_query(term)): if doc_id not in seen: analyze_document.delay(doc_id) seen.add(doc_id)