def parse_hit(hit: AttrDict, highlighting: bool = True) -> Dict[str, Any]:
parsed = hit.to_dict() # Adds name and reference_number if available
parsed["type"] = hit.meta.index.split("-")[-1]
parsed["type_translated"] = DOCUMENT_TYPE_NAMES[parsed["type"]]
parsed["url"] = reverse(parsed["type"], args=[hit.id])
parsed["score"] = hit.meta.score
if highlighting:
highlights = get_highlights(hit, parsed)
if len(highlights) > 0:
parsed["highlight"] = html_escape_highlight(highlights[0])
parsed["highlight_extracted"] = (
highlights[0].split("<mark>")[1].split("</mark>")[0])
else:
parsed["highlight"] = None
parsed["highlight_extracted"] = None
if hit.type == "file" and hit.highlight_extracted:
parsed["url"] += "?pdfjs_search=" + quote(
parsed["highlight_extracted"])
parsed["name_escaped"] = html_escape_highlight(parsed["name"])
parsed["reference_number_escaped"] = html_escape_highlight(
parsed.get("reference_number"))
return parsed
def query(self, func_name=None, created_at=None):
must_q = []
if func_name:
must_q.append(
Q('match', tissue={
'query': func_name,
'operator': 'and'
}))
if len(must_q):
q = Q('bool', must=must_q)
else:
q = Q('match_all')
qs = self.search.sort("-created_at").query(q)
# research and FIXME
total = 0
try:
total = qs.count()
except KeyError as e:
log.warning('Count request could not be completed')
return AttrDict({
'total': total,
'scroll': qs.scan(), # FIXME: does not respects sorting ...
'search': qs,
})
def read_text_tokens_date_histogram_terms(
self,
response: Response) -> Iterator[Tuple[Bucket, Sequence[Bucket]]]:
for bucket in getattr(response.aggs,
self._date_field.replace(".", "__")).buckets:
yield bucket, getattr(
bucket,
self._text_tokens_field.replace(".", "__"),
AttrDict({"buckets": []}),
).buckets
async def delete(self):
"""delete() executes the query by delegating to delete_by_query()"""
aes = get_connection(self._using)
response = await aes.delete_by_query(
index=self._index,
body=self.to_dict(),
**self._params,
)
return AttrDict(response)
def model_has_field_path(es_model, path):
"""Checks whether a field path (e.g. company.id) exists in a model."""
path_components = path.split('.')
fields = get_model_fields(es_model)
for sub_field_name in path_components:
if sub_field_name not in fields:
return False
sub_field = fields.get(sub_field_name)
fields = getattr(sub_field, 'properties', AttrDict({})).to_dict()
if not fields:
fields = getattr(sub_field, 'fields', {})
return True
def facets(self):
"""Unlabelled facets."""
if not hasattr(self, "_facets"):
super().__setattr__("_facets", AttrDict({}))
try:
for name, facet, data, selection in self._iter_facets():
self._facets[name] = facet.get_values(data, selection)
except AttributeError:
# Attribute errors are masked by AttrDict, so we reraise as a
# different exception.
raise RuntimeError(
'Failed to created facets due to attribute error.')
return self._facets
def register_document(self, document):
django_meta = getattr(document, 'Django')
# Raise error if Django class can not be found
if not django_meta:
message = "You must declare the Django class inside {}".format(
document.__name__)
raise ImproperlyConfigured(message)
# Keep all django related attribute in a django_attr AttrDict
data = {'model': getattr(document.Django, 'model')}
django_attr = AttrDict(data)
if not django_attr.model:
raise ImproperlyConfigured("You must specify the django model")
# Add The model fields into elasticsearch mapping field
model_field_names = getattr(document.Django, "fields", [])
mapping_fields = document._doc_type.mapping.properties.properties.to_dict(
).keys()
for field_name in model_field_names:
if field_name in mapping_fields:
raise RedeclaredFieldError(
"You cannot redeclare the field named '{}' on {}".format(
field_name, document.__name__))
django_field = django_attr.model._meta.get_field(field_name)
field_instance = document.to_field(field_name, django_field)
document._doc_type.mapping.field(field_name, field_instance)
django_attr.ignore_signals = getattr(django_meta, "ignore_signals",
False)
django_attr.auto_refresh = getattr(django_meta, "auto_refresh",
DEDConfig.auto_refresh_enabled())
django_attr.related_models = getattr(django_meta, "related_models", [])
django_attr.queryset_pagination = getattr(django_meta,
"queryset_pagination", None)
# Add django attribute in the document class with all the django attribute
setattr(document, 'django', django_attr)
# Set the fields of the mappings
fields = document._doc_type.mapping.properties.properties.to_dict()
setattr(document, '_fields', fields)
# Update settings of the document index
default_index_settings = deepcopy(DEDConfig.default_index_settings())
document._index.settings(**default_index_settings)
# Register the document and index class to our registry
self.register(index=document._index, doc_class=document)
return document
def execute(self):
out = []
for position in range(
self._s.to_dict()["from"],
self._s.to_dict()["from"] + self._s.to_dict()["size"]):
result = template.copy()
result["highlight"] = {
"name": ["<mark>" + str(position) + "</mark>"]
}
result["fields"]["name"] = str(position)
result["fields"]["name_escaped"] = str(position)
result["fields"]["id"] = position
out.append(Hit(result))
hits = AttrList(out)
hits.__setattr__("total", len(out) * 2)
return AttrDict({"hits": hits, "facets": get_aggregations()})
def execute(self):
out = []
for position in range(
self._s.to_dict()["from"],
self._s.to_dict()["from"] + self._s.to_dict()["size"],
):
result = template.copy()
result["highlight"] = {"name": ["<mark>" + str(position) + "</mark>"]}
result["fields"] = {
"id": position,
"name": str(position),
"name_escaped": str(position),
"type": "file",
"type_translated": "File",
"created": "2017-11-24T09:06:05.159381+00:00",
"modified": "2017-12-01T10:56:37.297771+00:00",
}
out.append(Hit(result))
hits = AttrList(out)
hits.__setattr__("total", len(out) * 2)
return AttrDict({"hits": hits, "facets": get_aggregations()})
def mock_search_autocomplete(*args):
return AttrDict({'hits': []})
def execute(self):
hits = AttrList([Hit(template)])
hits.__setattr__("total", 1)
return AttrDict({"hits": hits, "facets": get_aggregations()})
def get_pdf(self, obj):
user = self.context["request"].user
if get_study_file_permission(user, AttrDict(obj.study)):
return obj.to_dict().get("pdf")
else:
return None
def execute(self):
hits = AttrList([Hit(template.copy())])
hits.__setattr__("total", {"value": 1, "relation": "eq"})
return AttrDict({"hits": hits, "facets": get_aggregations()})
