def random_one(self, metadata: Dict,
payload: Dict) -> Tuple[bool, Union[Dict, str]]:
logger.debug(
f"Calling random_one metadata={metadata}, payload={payload}")
status, message = validate_schema_or_not(
payload, SCHEMAS["random_one"]["payload"])
if not status:
return False, message
# todo: failure
return True, self.content_store.random_one(
q=payload["q"], projection=payload["projection"])
def append(self, metadata: Dict, payload: Dict) -> Tuple[bool, str]:
logger.debug(f"Calling append metadata={metadata}, payload={payload}")
status, message = validate_schema_or_not(payload,
SCHEMAS["append"]["payload"])
if not status:
logger.info(
f"Fails to validate query payload={payload}, message {message}"
)
return False, message
# todo: failure
self.content_store.append(payload["doc"], payload["idempotency_key"])
return True, ''
def count(self, metadata: Dict,
payload: Dict) -> Tuple[bool, Union[int, str]]:
logger.debug(f"Calling count metadata={metadata} payload={payload}")
status, message = validate_schema_or_not(payload,
SCHEMAS['count']['payload'])
if not status:
logger.info(
f"Fails to validate count metadata={metadata} payload={payload}"
)
return False, message
# todo: failure
return True, self.content_store.count(payload['q'])
def update_one_binary_string(self, metadata: Dict,
payload: Dict) -> Tuple[bool, str]:
logger.debug(
f"Calling update_one_binary_string metadata={metadata}, payload={payload}"
)
status, message = validate_schema_or_not(
payload, SCHEMAS["update_one_binary_string"]["payload"])
if not status:
return False, message
# todo: failure
self.content_store.update_one_binary_string(payload["filter_q"],
payload["key"],
payload["binary_string"])
return True, ''
def query_nearest_hamming_neighbors(
self, metadata: Dict, payload: Dict) -> Tuple[bool, List[Dict]]:
logger.debug(
f"Calling query_nearest_hamming_neighbors metadata={metadata}, payload={payload}"
)
status, message = validate_schema_or_not(
payload, SCHEMAS["query_nearest_hamming_neighbors"]["payload"])
if not status:
logger.info(
f"Fails to validate query_nearest_hamming_neighbors payload={payload}, message {message}"
)
return False, []
# todo: failure
return True, self.content_store.query_nearest_hamming_neighbors(
q=payload["q"],
binary_string_key=payload["binary_string_key"],
from_binary_string=payload["from_binary_string"],
max_distance=payload["max_distance"])
def _add_worker():
body = request.json
success, message = validate_schema_or_not(instance=body,
schema=ADD_WORKER_BODY_SCHEMA)
if not success:
return jsonify({"status": "error", "message": message})
status, message_or_worker_id = worker_config_store.add(
module=body["module"],
class_name=body["class_name"],
args=body["args"],
interval_seconds=body["interval_seconds"])
if not status:
return jsonify({
"status": "error",
"message": message_or_worker_id
}), 400
else:
return jsonify({
"status": "ok",
"worker_id": message_or_worker_id
}), 200
def query(self, metadata: Dict, payload: Dict) -> Tuple[bool, List[Dict]]:
logger.debug(f"Calling query metadata={metadata}, payload={payload}")
status, message = validate_schema_or_not(payload,
SCHEMAS["query"]["payload"])
if not status:
logger.info(
f"Fails to validate query payload={payload}, message {message}"
)
return False, []
limit = payload["limit"] if "limit" in payload else None
projection = payload["projection"] if "projection" in payload else None
sort = payload["sort"] if "sort" in payload else None
datetime_q = payload["datetime_q"] if "datetime_q" in payload else None
# todo: query failure
return True, self.content_store.query(payload["q"],
limit=limit,
projection=projection,
sort=sort,
datetime_q=datetime_q)