Exemplo n.º 1
0
 async def get(self, token: PipelineToken, session=None) -> Any:
     timeout = self._manager.get_timeout(token.method)
     if timeout == 0:
         raise NotFound
     item = await sync_to_async(self._cache.get)(token.stringify)
     if item is None:
         raise NotFound
     LOGGER.log(
         self._log_level,
         f"[Trace: {self._game.upper()} > RedisCache > {self._alias}] GET: {self._log_template(token)}"
     )
     return pytify(item)
Exemplo n.º 2
0
 async def get_limits(self, server: str, method: str):
     limits = []
     limits.append(f"{self._api_key}_application_rates_{server}")
     limits.append(f"{self._api_key}_application_times_{server}")
     limits.append(f"{self._api_key}_methods_rates_{method}")
     limits.append(f"{self._api_key}_methods_times_{method}")
     responses = enumerate(self._redis.mget(limits))
     # responses = enumerate(await thread_run(partial(self._redis.mget, limits)))
     return [
         pytify(item) if item is not None else fast_copy(self.defaults[ind])
         for (ind, item) in responses
     ]
Exemplo n.º 3
0
 async def get(self, token: PipelineToken, session=None) -> Any:
     timeout = self._manager.get_timeout(token.method)
     if timeout == 0:
         raise NotFound
     await self.connect()
     item = await self._cache[token.method
                              ].find_one({'token': token.stringify})
     if item is None:
         raise NotFound
     LOGGER.log(
         self._log_level,
         f"[Trace: {self._game.upper()} > MongoDB > {self._alias}] GET: {self._log_template(token)}"
     )
     return pytify(item["data"])
Exemplo n.º 4
0
async def migrate_all_to_bson(model: str):
    model = model.lower()
    pipeline = pipelines[model]
    stores: List[MongoDB] = []
    for store in pipeline:
        if isinstance(store, MongoDB):
            stores.append(store)
    for store in stores:
        await store.connect()
        for method in store._manager:
            col = store._cache[method]
            cursor = col.find({})
            docs = await cursor.to_list(length=10)
            while docs:
                for doc in docs:
                    data_type = doc.get("dataType", "pickle")
                    if data_type == "pickle":
                        await col.update_one({"_id": doc["_id"]}, {
                            "$set": {
                                "data": pytify(doc["data"]),
                                "dataType": "bson"
                            }
                        })
                docs = await cursor.to_list(length=10)