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zh_cosearch_agent_app.py
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import time
import ast
from slack_bolt import App
from slack_bolt.adapter.socket_mode import SocketModeHandler
from agents.cosearch_agent import CoSearchAgent
from agents.search_engine import SearchEngine
from memory.cosearch_agent_memory import Memory
from memory.rag_results_memory import SearchMemory
from memory.click_memory import ClickMemory
from utils import (
get_conversation_history,
replace_utterance_ids,
get_user_info,
get_channel_info,
send_rag_answer,
send_clarify_question,
update_rag_answer,
SERPAPI_KEY,
OPENAI_KEY,
SQL_PASSWORD,
)
# Slack API tokens
SLACK_BOT_TOKEN = "bot_token"
SLACK_APP_TOKEN = "app_token"
BOT_ID = "bot_id"
app = App(token=SLACK_BOT_TOKEN)
search_engine = SearchEngine(api_key=SERPAPI_KEY)
agent = CoSearchAgent(search_engine=search_engine, api_key=OPENAI_KEY)
memory = Memory(sql_password=SQL_PASSWORD)
search_memory = SearchMemory(sql_password=SQL_PASSWORD)
click_memory = ClickMemory(sql_password=SQL_PASSWORD)
channel_id2names = get_channel_info(table_name="channel_info")
user_id2names = get_user_info(table_name="user_info")
user_id2names["bot_id"] = "CoSearchAgent"
@app.action("click")
def click_link(ack, body):
channel_name, user_name = body["channel"]["name"], body["user"]["username"]
event_ts = body["container"]["message_ts"]
search_info = search_memory.load_search_results_from_timestamp(table_name=f"{channel_name}_search",
timestamp=str(event_ts))
action = body["actions"][0]
link, ts = action["value"], action["action_ts"]
click_memory.create_table_if_not_exists(f"{channel_name}_click")
click_memory.write_into_memory(table_name=f"{channel_name}_click",
click_info={
"user_name": user_name,
"query": search_info["query"],
"link": link,
"timestamp": ts
})
ack()
@app.action("next")
def return_next_page(ack, body, client):
channel_id, user_id = body['channel']['id'], body['user']['id']
channel_name, user_name = channel_id2names[channel_id], user_id2names[user_id]
event_ts = body["container"]["message_ts"]
search_info = search_memory.load_search_results_from_timestamp(table_name=f"{channel_name}_search",
timestamp=str(event_ts))
search_results = ast.literal_eval(search_info["search_results"])
start, end = search_info["start"], search_info["end"]
if start + 2 < len(search_results):
start = start + 2
end = end + 2
ts = update_rag_answer(client=client, query=search_info["query"], channel_id=channel_id, user_id=user_id,
answer=search_info["answer"], references=search_results, start=start, end=end,
ts=event_ts)["ts"]
search_memory.write_into_memory(table_name=f"{channel_name}_search", search_info={
"user_name": user_name,
"query": search_info["query"],
"answer": search_info["answer"],
"search_results": str(search_results),
"start": start,
"end": end,
"click_time": time.time(),
"timestamp": ts
})
ack()
@app.action("previous")
def return_previous_page(ack, body, client):
channel_id, user_id = body['channel']['id'], body['user']['id']
channel_name, user_name = channel_id2names[channel_id], user_id2names[user_id]
event_ts = body["container"]["message_ts"]
search_info = search_memory.load_search_results_from_timestamp(table_name=f"{channel_name}_search",
timestamp=str(event_ts))
search_results = ast.literal_eval(search_info["search_results"])
start, end = search_info["start"], search_info["end"]
if start - 2 >= 0:
start = start - 2
end = end - 2
ts = update_rag_answer(client=client, query=search_info["query"], channel_id=channel_id, user_id=user_id,
answer=search_info["answer"], references=search_results, start=start, end=end,
ts=event_ts)["ts"]
search_memory.write_into_memory(table_name=f"{channel_name}_search", search_info={
"user_name": user_name,
"query": search_info["query"],
"answer": search_info["answer"],
"search_results": str(search_results),
"start": start,
"end": end,
"click_time": time.time(),
"timestamp": ts
})
ack()
@app.event("message")
def handle_message_event(ack, event, client):
channel_id, user_id, ts = event["channel"], event["user"], event["ts"]
channel_name, user_name = channel_id2names[channel_id], user_id2names[user_id]
if user_id == BOT_ID:
return
user_utterance = replace_utterance_ids(event["text"].strip("\n").strip(), id2names=user_id2names)
memory.create_table_if_not_exists(table_name=channel_name)
memory.write_into_memory(
table_name=channel_name,
utterance_info={"speaker": user_name, "utterance": user_utterance, "convs": "",
"query": "", "rewrite_query": "", "rewrite_thought": "",
"clarify": "", "clarify_thought": "", "clarify_cnt": 0, "search_results": "",
"infer_time": "", "reply_timestamp": "", "reply_user": "", "timestamp": ts}
)
pattern = "@CoSearchAgent"
if user_utterance.startswith(pattern):
convs = get_conversation_history(client=client, channel_id=channel_id, bot_id=BOT_ID,
user_id2names=user_id2names, ts=ts)
query = user_utterance.lstrip(pattern).strip()
rewrite_output, rewrite_time = agent.rewrite_query(user=user_name, query=query, convs=convs)
rewrite_output = rewrite_output.split("\n")
rewrite_thought = rewrite_output[0].lstrip("判断思路：").strip()
rewrite_query = rewrite_output[1].lstrip("重写查询：").strip()
clarify_cnt = memory.get_clarify_cnt_for_speaker(table_name=channel_name, reply_user=user_name)
if clarify_cnt > 0:
clarify_thought, clarify_question = "", ""
clarify_time = 0
else:
clarify_output, clarify_time = agent.ask_clarify_query(user=user_name, query=rewrite_query, convs=convs)
clarify_output = clarify_output.split("\n")
clarify_thought = clarify_output[0].lstrip("判断思路：").strip()
clarify_question = clarify_output[1].lstrip("澄清性问题：").strip()
if "不需要提出澄清性问题" not in clarify_question:
response_ts = send_clarify_question(client=client, channel_id=channel_id, user_id=user_id,
clarify_question=clarify_question)["ts"]
memory.write_into_memory(
table_name=channel_name,
utterance_info={"speaker": "CoSearchAgent", "utterance": clarify_question, "convs": convs,
"query": query, "rewrite_query": rewrite_query, "rewrite_thought": rewrite_thought,
"clarify": clarify_question, "clarify_thought": clarify_thought,
"clarify_cnt": clarify_cnt+1, "search_results": "",
"infer_time": str({"rewrite": rewrite_time, "clarify": clarify_time}),
"reply_user": user_name, "reply_timestamp": ts, "timestamp": response_ts}
)
return
answer, search_results, extract_time, answer_time = agent.generate_answer(rewrite_query)
response_ts = send_rag_answer(client=client, channel_id=channel_id, query=rewrite_query, user_id=user_id,
answer=answer, references=search_results)["ts"]
memory.write_into_memory(
table_name=channel_name,
utterance_info={"speaker": "CoSearchAgent", "utterance": answer, "convs": convs,
"query": query, "rewrite_query": rewrite_query, "rewrite_thought": rewrite_thought,
"clarify": clarify_question, "clarify_thought": clarify_thought, "clarify_cnt": 0,
"search_results": str(search_results),
"infer_time": str({"rewrite": rewrite_time, "clarify": clarify_time,
"extract": extract_time, "answer": answer_time}),
"reply_timestamp": ts, "reply_user": user_name, "timestamp": response_ts}
)
search_memory.create_table_if_not_exists(table_name=f"{channel_name}_search")
search_memory.write_into_memory(
table_name=f"{channel_name}_search",
search_info={"user_name": user_name, "query": rewrite_query, "answer": answer,
"search_results": str(search_results), "start": 0, "end": 2,
"click_time": time.time(), "timestamp": response_ts}
)
ack()
if __name__ == "__main__":
SocketModeHandler(app, SLACK_APP_TOKEN).start()