def _extract_paragraphs(
self, configs: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
json_path = [
'singleVisual', 'objects', 'general', 0, 'properties', 'paragraphs'
]
return [
paragraph for config in configs
for paragraph in dig(config, json_path)
]
def _parse_data(self, response_json: Dict[str, List]) -> Dict[str, int]:
results = super()._parse_data(response_json)
ethnicity_labels = dig(response_json, [*self.JSON_PATH[0:-3], 'ValueDicts', 'D0'])
totals = {'Overall', 'Overall Known Race/Ethnicity'}
return {
ethnicity_label: count
for ethnicity_label_index, count in results
if (ethnicity_label := ethnicity_labels[ethnicity_label_index].strip()) not in totals
}
def _extract_meta(self, response_json: Dict[str, Any]) -> str:
visual_containers = dig(response_json, ['exploration', 'sections', 0, 'visualContainers'])
text_boxes = self._extract_text_runs(visual_containers)
return max(text_boxes, key=len)
def _parse_data(self, response_json: Dict[str, List]) -> int: # type: ignore
return cast(int, dig(response_json, self.JSON_PATH))
def most_recent_case_time(data: Dict[str, Any]) -> datetime:
most_recent_cases = cast(Dict[str, str], dig(data,
['series', 'cases', -1]))
return parse_datetime(most_recent_cases['date'])