import requests
import json
import gradio as gr

def calculate(course_input, course_profile, course_hour):
    url = "https://rd-ai-knowledge-navigator.onrender.com/process"

    headers = {
        "Content-Type": "application/json"
    }

    data = {
        "title": course_input,
        "content": course_profile,
        "hour": course_hour
    }

    try:
        response = requests.post(url, json=data, headers=headers, timeout=50)

        if response.status_code == 200:
            try:
                response_json = response.json()
                success = response_json.get("success", False)
                title = response_json.get("title", "未知課程")
                top_competencies = response_json.get("top_competencies", [])
                competencies = response_json.get("competencies", [])

                if success:
                    competencies_list = [f"{item['item']} ({item['score']})" for item in competencies]
                    return (f"課程 '{title}' 職能匹配成功！", top_competencies, "\n".join(competencies_list))
                else:
                    return "匹配失敗，請稍後再試", "無職能項目", "無職能項目"

            except json.JSONDecodeError:
                return "錯誤: 伺服器回應非 JSON 格式", "無職能項目", "無職能項目"

        else:
            return f"錯誤: 伺服器返回 HTTP {response.status_code}", "無職能項目", "無職能項目"

    except requests.exceptions.Timeout:
        return "錯誤: 伺服器回應超時", "無職能項目", "無職能項目"
    except requests.exceptions.RequestException as e:
        return f"請求失敗: {str(e)}", "無職能項目", "無職能項目"

# 驗證輸入欄位是否為空
def validate_input(course_input, course_profile, course_hour):
    errors = []
    if not course_input.strip():
        errors.append("課程名稱為必填項目")
    if not course_profile.strip():
        errors.append("課程簡介為必填項目")
    if not course_hour.strip():
        errors.append("課程時數為必填項目")

    if errors:
        return "\n".join(errors), "", ""  # 直接回傳錯誤訊息，阻止請求
    return None  # 表示輸入有效，允許繼續執行

def setup_gradio_interface():
    with gr.Blocks() as demo:
        with gr.Row():
            course_input = gr.Textbox(label="課程名稱", placeholder="請輸入課程名稱")
            course_hour = gr.Textbox(label="課程時數", placeholder="請輸入課程時數")
        with gr.Row():
            course_profile = gr.Textbox(label="課程簡介", placeholder="請輸入課程簡介")
        with gr.Row():
            submit_button = gr.Button("計算職能項目")
        with gr.Row():
            txt_response = gr.Textbox(label="計算狀態", placeholder="計算結果", interactive=False)
            course_competencies = gr.Textbox(label="職能項目", placeholder="職能項目", interactive=False)
        with gr.Row():
            json_competencies = gr.Textbox(label="JSON內容", placeholder="職能項目", interactive=False)

        # 先驗證輸入，再進行計算
        def validate_and_calculate(course_input, course_profile, course_hour):
            validation_result = validate_input(course_input, course_profile, course_hour)
            if validation_result:
                return validation_result  # 若輸入無效，回傳錯誤訊息
            return calculate(course_input, course_profile, course_hour)  # 若有效則繼續計算

        submit_button.click(
            validate_and_calculate,
            inputs=[course_input, course_profile, course_hour],
            outputs=[txt_response, course_competencies, json_competencies]
        )

    return demo

# 運行 Gradio 介面
if __name__ == "__main__":
    demo = setup_gradio_interface()
    demo.launch()