CoolFace
Apppublic

Dave67350/First_agent_template

sourceHugging Faceupdated 1y agoView on Hugging Face
0likes
dora_third_party_dependency_map.py124 linesDownload Raw Back to tools
1# dora_third_party_dependency_map.py2import datetime3import re4from fpdf import FPDF5from langdetect import detect6import gradio as gr7from tools.common import prepend_metadata_questions8 9# === PDF Export ===10def export_text_to_pdf(text, metadata=None, output_path=None, language="en"):11    if output_path is None:12        timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")13        output_path = f"third_party_dependency_map_{timestamp}.pdf"14 15    pdf = FPDF()16    pdf.add_page()17    pdf.set_auto_page_break(auto=True, margin=15)18 19    pdf.set_font("Arial", 'B', 16)20    pdf.set_text_color(0, 51, 102)21    title = "Third-Party Dependency Map - DORA (Optional)" if language == "en" else "Cartographie des dépendances tierces - DORA"22    pdf.cell(0, 15, title, ln=True, align='C')23    pdf.ln(10)24 25    if metadata:26        pdf.set_font("Arial", '', 12)27        pdf.set_text_color(90, 90, 90)28        pdf.multi_cell(0, 10, f"Organization: {metadata.get('organization_name', 'N/A')}")29        pdf.multi_cell(0, 10, f"Completed by: {metadata.get('user_name', 'N/A')} ({metadata.get('user_role', 'N/A')})")30        pdf.multi_cell(0, 10, f"Timestamp: {metadata.get('timestamp', 'N/A')}")31        pdf.ln(5)32 33    pdf.set_font("Arial", '', 12)34    pdf.set_text_color(0, 0, 0)35    for line in text.strip().split('\n'):36        line = line.strip()37        if line.startswith("## "):38            section = line.replace("## ", "").strip()39            pdf.set_font("Arial", 'B', 13)40            pdf.set_text_color(30, 30, 120)41            pdf.ln(8)42            pdf.cell(0, 10, section, ln=True)43            pdf.set_font("Arial", '', 12)44            pdf.set_text_color(0, 0, 0)45        elif line.startswith("- **"):46            match = re.match(r"- \*\*(.+?)\*\*: (.+)", line)47            if match:48                label, value = match.groups()49                pdf.set_font("Arial", 'B', 12)50                pdf.cell(0, 10, f"{label}:", ln=True)51                pdf.set_font("Arial", '', 12)52                pdf.multi_cell(0, 10, value)53        elif line == "---":54            pdf.line(10, pdf.get_y(), 200, pdf.get_y())55            pdf.ln(5)56        else:57            pdf.multi_cell(0, 10, line)58    pdf.output(output_path)59    return output_path60 61# === Questions ===62QUESTIONS = prepend_metadata_questions([63    ("third_party_services", "List all third-party services used by your organization."),64    ("dependency_criticality", "Which dependencies are considered critical and why?"),65    ("risk_assessment", "Describe any risk assessments conducted for these dependencies."),66    ("alternatives", "Are there contingency plans or alternative providers available?"),67    ("monitoring_strategy", "How are third-party dependencies monitored over time?")68])69 70 71def get_questions():72    return QUESTIONS73 74 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_question = QUESTIONS[step][1]88            state["step"] += 189            return next_question, state, None90 91        metadata = {92            "user_name": answers.get("user_name", "N/A"),93            "user_role": answers.get("user_role", "N/A"),94            "organization_name": answers.get("organization_name", "N/A"),95            "timestamp": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")96        }97 98        content = "\n".join([f"- **{label}**: {answers.get(key, '')}" for key, label in QUESTIONS])99        lang = detect(content if len(content.strip()) > 3 else "Placeholder")100        pdf_path = export_text_to_pdf(content, metadata=metadata, language=lang)101        return "✅ Dependency map created. Download below.", {"done": True}, pdf_path102 103    with gr.Blocks(title="DORA Third-Party Dependency Map") as demo:104        chatbot = gr.Chatbot(label="🌐 Third-Party Dependency Assistant", value=[{"role": "assistant", "content": QUESTIONS[0][1]}], type="messages")105        msg = gr.Textbox(label="Your answer")106        state_var = gr.State(state)107        file_output = gr.File(label="Download PDF")108        reset_btn = gr.Button("🔁 Restart")109 110        def chat_logic(msg_in, state_in):111            reply, updated_state, file = step_by_step_agent(msg_in, state_in)112            messages = [{"role": "user", "content": msg_in}]113            if reply:114                messages.append({"role": "assistant", "content": reply})115            return messages, updated_state, file116 117        def reset():118            return [{"role": "assistant", "content": QUESTIONS[0][1]}], {"step": 0, "answers": {}}, None119 120        msg.submit(chat_logic, [msg, state_var], [chatbot, state_var, file_output])121        reset_btn.click(reset, outputs=[chatbot, state_var, file_output])122 123    demo.launch(show_api=False)124