Player 2 (#3)

Decision Making (not finish)
This commit is contained in:
Luca De Laurentiis
2025-04-12 21:47:57 +02:00
committed by GitHub
parent 3f9de128be
commit bc2ea68332
4 changed files with 33 additions and 60 deletions

View File

@ -4,8 +4,10 @@ import time
from typing import Literal, Dict, Any
import config
from dto.requests import GameStartRequestDTO, GameDecisionRequestDTO
from services.extractor import extract_profile, extract_passport, extract_description, extract_account
from services.julius_baer_api_client import JuliusBaerApiClient
from utils.storage.game_files_manager import store_game_round_data, store_decision
from utils.storage.game_files_manager import store_game_round_data
log = logging.getLogger(__name__)
@ -34,10 +36,10 @@ class Player:
start_response = self.client.start_game(payload)
log.info('game started, session id: %s', start_response.session_id)
client_id = start_response.client_id
decision = self.make_decision(start_response.client_data)
decision_counter = 0
client_id = start_response.client_id
is_game_running = True
while is_game_running:
@ -53,8 +55,6 @@ class Player:
status = decision_response.status
is_game_running = status not in ['gameover', 'complete']
if is_game_running:
store_decision(str(client_id), decision)
client_id = decision_response.client_id
decision = self.make_decision(decision_response.client_data)
@ -71,11 +71,31 @@ class Player:
time.sleep(1)
def make_decision(self, client_data: Dict[str, Any]) -> Literal["Accept", "Reject"]:
# Do your magic!
# Data extraction
profile = extract_profile(client_data)
passport = extract_passport(client_data)
description = extract_description(client_data)
account = extract_account(client_data)
prompt_template = (
"You are a helpful assistant at a private bank.\n"
"Your task is to accept or reject a new client's application for private banking.\n\n"
"Only reject the application if there is an inconsistency in the data provided.\n"
"Inconsistencies include:\n"
"- Incorrect data (e.g., mismatched or invalid information)\n"
"- Incomplete data (e.g., missing required fields)\n\n"
"Return only JSON matching this format:\n"
"{format_instructions}\n\n"
"Here is the extracted passport text:\n"
"{processed_text}\n\n"
"Use the extracted profile, description, and account details to check consistency."
)
# You'd insert the format instructions and passport text here before calling the LLM
# For example:
# final_prompt = prompt_template.format(
# format_instructions=your_format_instructions,
# processed_text=passport['text']
# )
return 'Accept' # Replace me!!