Dave67350/First_agent_template

1# tools/dsa_content_moderation_log.py2 3from datetime import datetime4from fpdf import FPDF5import re6import gradio as gr7from langdetect import detect8 9def export_text_to_pdf(text, metadata=None, output_path=None, language="en"):10    if output_path is None:11        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")12        output_path = f"dsa_content_moderation_log_{timestamp}.pdf"13 14    pdf = FPDF()15    pdf.add_page()16    pdf.set_auto_page_break(auto=True, margin=15)17 18    pdf.set_font("Arial", 'B', 16)19    pdf.set_text_color(0, 51, 102)20    title = "Content Moderation Log (DSA)"21    pdf.cell(0, 15, title, ln=True, align='C')22    pdf.ln(8)23 24    if metadata:25        pdf.set_font("Arial", '', 12)26        pdf.set_text_color(90, 90, 90)27        pdf.multi_cell(0, 10, f"Organization: {metadata.get('organization', 'N/A')}")28        pdf.multi_cell(0, 10, f"Completed by: {metadata.get('completed_by', 'N/A')} ({metadata.get('role', 'N/A')})")29        pdf.multi_cell(0, 10, f"Timestamp: {metadata.get('timestamp', 'N/A')}")30        pdf.ln(5)31 32    pdf.set_font("Arial", '', 12)33    pdf.set_text_color(0, 0, 0)34    for line in text.strip().split('\n'):35        if line.startswith("## "):36            section = line.replace("## ", "").strip()37            pdf.set_font("Arial", 'B', 13)38            pdf.set_text_color(30, 30, 120)39            pdf.ln(6)40            pdf.cell(0, 10, section, ln=True)41            pdf.set_font("Arial", '', 12)42            pdf.set_text_color(0, 0, 0)43        elif line.startswith("- **"):44            match = re.match(r"- \*\*(.+?)\*\*: (.+)", line)45            if match:46                label, value = match.groups()47                pdf.set_font("Arial", 'B', 12)48                pdf.cell(0, 10, f"{label}:", ln=True)49                pdf.set_font("Arial", '', 12)50                pdf.multi_cell(0, 10, value)51        elif line == "---":52            pdf.line(10, pdf.get_y(), 200, pdf.get_y())53            pdf.ln(5)54        else:55            pdf.multi_cell(0, 10, line)56    pdf.output(output_path)57    return output_path58 59QUESTIONS = [60    ("organization", "What is the name of your organization?"),61    ("completed_by", "Who is completing this log?"),62    ("role", "What is your role?"),63    ("platform", "What platform or service does this apply to?"),64    ("date", "What is the date of moderation?"),65    ("type_of_content", "What type of content was moderated?"),66    ("moderation_action", "What moderation action was taken (e.g. removal, warning)?"),67    ("reason", "What was the reason for moderation?"),68    ("notified_user", "Was the user notified? If yes, how?"),69    ("appeal_possibility", "Was the possibility of appeal offered?")70]71 72def get_questions():73    return QUESTIONS74 75def run_tool():76    state = {"step": 0, "answers": {}}77 78    def step_by_step_agent(user_input, state):79        step = state["step"]80        answers = state["answers"]81 82        if step > 0:83            key, _ = QUESTIONS[step - 1]84            answers[key] = user_input85 86        if step < len(QUESTIONS):87            next_q = QUESTIONS[step][1]88            state["step"] += 189            return next_q, state, None90 91        content = "\n".join([f"- **{label}**: {answers.get(key, '')}" for key, label in QUESTIONS])92        lang = "en"93        try:94            if len(content.strip()) > 3:95                lang = detect(content)96        except:97            lang = "en"98 99        metadata = {100            "organization": answers.get("organization"),101            "completed_by": answers.get("completed_by"),102            "role": answers.get("role"),103            "timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S")104        }105 106        pdf_path = export_text_to_pdf(content, metadata=metadata, language=lang)107        return "✅ Log completed. Download below.", {"done": True}, pdf_path108 109    with gr.Blocks(title="DSA Content Moderation Log") as demo:110        chatbot = gr.Chatbot(label="🛡️ DSA Assistant", value=[{"role": "assistant", "content": QUESTIONS[0][1]}], type="messages")111        msg = gr.Textbox(label="Your answer")112        state_var = gr.State(state)113        file_output = gr.File(label="Download PDF")114        reset_btn = gr.Button("🔁 Restart")115 116        def chat_logic(msg_in, state_in):117            reply, updated_state, file = step_by_step_agent(msg_in, state_in)118            messages = [{"role": "user", "content": msg_in}]119            if reply:120                messages.append({"role": "assistant", "content": reply})121            return messages, updated_state, file122 123        def reset():124            return [{"role": "assistant", "content": QUESTIONS[0][1]}], {"step": 0, "answers": {}}, None125 126        msg.submit(chat_logic, [msg, state_var], [chatbot, state_var, file_output])127        reset_btn.click(reset, outputs=[chatbot, state_var, file_output])128 129    demo.launch(show_api=False)130