import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))

from core.factory import LLMFactory
from agents.roles import AGENTS

# Cas d'utilisation : analyse du texte de ticket uniquement
role = "resolution_checker"
prompt = "Based on the support conversation below, has the issue been resolved? Explain your reasoning."
json_ticket_path = "data/ticket_001.txt"  # version déjà filtrée et lisible
custom_params = {
    "temperature": 0.2,
    "top_p": 1.0,
    "format": "json"
}

with open(json_ticket_path, "r", encoding="utf-8") as f:
    ticket_text = f.read()

model = LLMFactory.create("llama3.2-vision:90b")
model.set_role(role, AGENTS[role])
model.params.update(custom_params)

response_en, response_fr = model.generate(
    user_prompt=f"""{prompt}

{ticket_text}
""",
    translate=True
)

print("[EN]", response_en)
print("[FR]", response_fr)