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 complète image + ticket support (filtré)
role = "support_analyzer"
prompt = "Analyze the support ticket and the attached image. Summarize the problem, the likely cause and whether it is resolved."
image_path = ["images/ticket_context.png"]
json_ticket_path = "data/ticket_001.txt"  # version lisible du ticket
custom_params = {
    "temperature": 0.3,
    "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}
""",
    images=image_path,
    translate=True
)

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