Dave67350/First_agent_template

1# tools/dsa_transparency_report.py2 3from datetime import datetime4from fpdf import FPDF5import re6import gradio as gr7from langdetect import detect8 9# === PDF Export Function ===10def export_text_to_pdf(text, metadata=None, output_path=None, language="en"):11    if output_path is None:12        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")13        output_path = f"dsa_transparency_report_{timestamp}.pdf"14 15    pdf = FPDF()16    pdf.add_page()17    pdf.set_auto_page_break(auto=True, margin=15)18 19    # Title20    pdf.set_font("Arial", 'B', 16)21    pdf.set_text_color(0, 51, 102)22    pdf.cell(0, 15, "DSA Transparency Report", ln=True, align='C')23    pdf.ln(8)24 25    # Metadata26    if metadata:27        pdf.set_font("Arial", '', 12)28        pdf.set_text_color(90, 90, 90)29        pdf.multi_cell(0, 10, f"Organization: {metadata.get('organization', 'N/A')}")30        pdf.multi_cell(0, 10, f"Completed by: {metadata.get('completed_by', 'N/A')} ({metadata.get('role', 'N/A')})")31        pdf.multi_cell(0, 10, f"Timestamp: {metadata.get('timestamp', 'N/A')}")32        pdf.ln(5)33 34    # Body35    pdf.set_font("Arial", '', 12)36    pdf.set_text_color(0, 0, 0)37    for line in text.strip().split('\n'):38        if line.startswith("## "):39            section = line.replace("## ", "").strip()40            pdf.set_font("Arial", 'B', 13)41            pdf.set_text_color(30, 30, 120)42            pdf.ln(6)43            pdf.cell(0, 10, section, ln=True)44            pdf.set_font("Arial", '', 12)45            pdf.set_text_color(0, 0, 0)46        elif line.startswith("- **"):47            match = re.match(r"- \*\*(.+?)\*\*: (.+)", line)48            if match:49                label, value = match.groups()50                pdf.set_font("Arial", 'B', 12)51                pdf.cell(0, 10, f"{label}:", ln=True)52                pdf.set_font("Arial", '', 12)53                pdf.multi_cell(0, 10, value)54        else:55            pdf.multi_cell(0, 10, line)56 57    pdf.output(output_path)58    return output_path59 60# === Questions ===61QUESTIONS = [62    ("organization", "What is the name of your organization?"),63    ("completed_by", "Who is completing this report?"),64    ("role", "What is your role?"),65    ("reporting_period", "What is the reporting period (e.g. Q1 2025)?"),66    ("platform", "Which platform/service does this report apply to?"),67    ("moderation_volume", "How many content moderation actions occurred?"),68    ("appeals_count", "How many appeals were received?"),69    ("automated_tools", "What automated tools are used for moderation?"),70    ("government_requests", "How many content removal requests were from authorities?"),71    ("transparency_measures", "What transparency measures were implemented?")72]73 74def get_questions():75    return QUESTIONS76 77# === Tool Execution ===78def run_tool():79    state = {"step": 0, "answers": {}}80 81    def step_by_step_agent(user_input, state):82        step = state["step"]83        answers = state["answers"]84 85        if step > 0:86            key, _ = QUESTIONS[step - 1]87            answers[key] = user_input88 89        if step < len(QUESTIONS):90            next_q = QUESTIONS[step][1]91            state["step"] += 192            return next_q, state, None93 94        content = "\n".join([f"- **{label}**: {answers.get(key, '')}" for key, label in QUESTIONS])95        try:96            lang = detect(content) if len(content.strip()) > 3 else "en"97        except:98            lang = "en"99 100        metadata = {101            "organization": answers.get("organization"),102            "completed_by": answers.get("completed_by"),103            "role": answers.get("role"),104            "timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S")105        }106 107        pdf_path = export_text_to_pdf(content, metadata=metadata, language=lang)108        return "✅ Transparency report completed. Download below.", {"done": True}, pdf_path109 110    with gr.Blocks(title="DSA Transparency Report Tool") as demo:111        chatbot = gr.Chatbot(label="📊 Transparency Assistant", value=[{"role": "assistant", "content": QUESTIONS[0][1]}], type="messages")112        msg = gr.Textbox(label="Your answer")113        state_var = gr.State(state)114        file_output = gr.File(label="Download PDF")115        reset_btn = gr.Button("🔁 Restart")116 117        def chat_logic(msg_in, state_in):118            reply, updated_state, file = step_by_step_agent(msg_in, state_in)119            messages = [{"role": "user", "content": msg_in}]120            if reply:121                messages.append({"role": "assistant", "content": reply})122            return messages, updated_state, file123 124        def reset():125            return [{"role": "assistant", "content": QUESTIONS[0][1]}], {"step": 0, "answers": {}}, None126 127        msg.submit(chat_logic, [msg, state_var], [chatbot, state_var, file_output])128        reset_btn.click(reset, outputs=[chatbot, state_var, file_output])129 130    demo.launch(show_api=False)131