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import time | |
from aworld.replay_buffer.base import DataRow, ExpMeta, Experience | |
from aworld.replay_buffer.storage.redis import RedisStorage | |
from aworld.replay_buffer.query_filter import QueryBuilder | |
from aworld.core.common import Observation, ActionModel | |
from aworld.logs.util import logger | |
storage = RedisStorage(host="localhost", port=6379, | |
recreate_idx_if_exists=False) | |
def generate_data_row() -> list[DataRow]: | |
rows: list[DataRow] = [] | |
for id in range(5): | |
task_id = f"task_{id+1}" | |
for i in range(5): | |
agent_id = f"agent_{i+1}" | |
for j in range(5): | |
step = j + 1 | |
execute_time = time.time() + j | |
row = DataRow( | |
exp_meta=ExpMeta( | |
task_id=task_id, | |
task_name="default_task_name", | |
agent_id=agent_id, | |
step=step, | |
execute_time=execute_time, | |
pre_agent="pre_agent_id" | |
), | |
exp_data=Experience(state=Observation(), | |
actions=[ActionModel()]) | |
) | |
rows.append(row) | |
return rows | |
def wriete_data(): | |
storage.clear() | |
rows = generate_data_row() | |
storage.add_batch(rows) | |
logger.info(f"Add {len(rows)} rows to storage.") | |
def read_data(): | |
query_condition = (QueryBuilder() | |
.eq("exp_meta.task_id", "task_1") | |
.and_() | |
.eq("exp_meta.agent_id", "agent_1") | |
.or_() | |
.nested(QueryBuilder() | |
.eq("exp_meta.task_id", "task_4") | |
.and_() | |
.eq("exp_meta.agent_id", "agent_3") | |
.and_() | |
.gt("exp_meta.step", 4)).build()) | |
rows = storage.get_all(query_condition) | |
for row in rows: | |
logger.info(row) | |
rows = storage.get_paginated( | |
page=2, page_size=2, query_condition=query_condition) | |
for row in rows: | |
logger.info(f"get_paginated: {row}") | |
if __name__ == "__main__": | |
# wriete_data() | |
read_data() | |