# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "marimo",
# ]
# ///

import marimo

__generated_with = "0.17.6"
app = marimo.App()


@app.cell
def _():
    """Import everything once - shared across all cells"""
    import marimo as mo
    return (mo,)


@app.cell
def _(mo):
    """Header"""
    mo.md("# 🦀 VerdantClaw-Secure")
    mo.md("**Flow Engineering Requirements System**")
    mo.md("---")
    return


@app.cell
def _(mo):
    """Tab 1: Chat with ZeroClaw"""
    mo.md("### 💬 Chat with ZeroClaw")

    chat_message = mo.ui.text_area(
        label="Your message:",
        placeholder="Ask ZeroClaw anything about requirements...",
        full_width=True
    )

    def send_chat(msg):
        if not msg.strip():
            return mo.md("⚠️ Please enter a message")
        return mo.md(f"**You said:** {msg}\n\n*(ZeroClaw integration coming soon)*")

    chat_result = send_chat(chat_message.value)

    mo.vstack([
        chat_message,
        mo.ui.run_button(label="🚀 Send"),
        chat_result
    ])
    return


@app.cell
def _(mo):
    """Tab 2: Requirements Browser"""
    mo.md("### 📋 Requirements Browser")

    mo.md("""
    **Status:** ⚠️ Workspace not configured yet

    Once deployed, this will show requirements from:
    - `/app/workspace/Requirements/`
    - Files: `REQ-001.md`, `REQ-002.md`, etc.
    """)

    mo.md("**Sample Requirements:**")
    mo.md("""
    - 📄 `REQ-001.md` - User Authentication
    - 📄 `REQ-002.md` - Data Processing Pipeline
    - 📄 `REQ-003.md` - API Integration
    """)
    return


@app.cell
def _(mo):
    """Tab 3: Requirements Editor"""
    mo.md("### ✏️ Requirements Editor")

    req_filename = mo.ui.text(
        label="Filename:",
        value="REQ-001.md"
    )

    req_content = mo.ui.text_area(
        label="Content (Markdown):",
        value="""# REQ-001: User Authentication

    ## Description
    Users must authenticate before accessing protected resources.

    ## Acceptance Criteria
    - [ ] Login form with email/password
    - [ ] Password reset functionality
    - [ ] Session timeout after 30 minutes

    ## Status
    - [x] Draft
    - [ ] Approved
    - [ ] Implemented
    """,
        full_width=True,
        height=300
    )

    def save_req(name, text):
        return mo.md(f"✅ Would save to: `/app/workspace/Requirements/{name}`\n\n*(File writing enabled after deployment)*")

    editor_result = save_req(req_filename.value, req_content.value)

    mo.vstack([
        req_filename,
        req_content,
        mo.ui.run_button(label="💾 Save Requirement"),
        editor_result
    ])
    return


@app.cell
def _(mo):
    """Tab 4: Graph Visualization"""
    mo.md("### 📊 Requirements Graph")

    mo.md("""
    **Memgraph Status:** ⚠️ Not connected (local testing)

    Once deployed, this will visualize:
    - Requirements as nodes
    - Dependencies as edges
    - Status indicators
    """)

    # Sample visualization (placeholder)
    import plotly.graph_objects as go

    fig = go.Figure(data=[go.Scatter(
        x=[1, 2, 3, 4, 5],
        y=[1, 2, 3, 4, 5],
        mode='markers+text',
        text=['REQ-001', 'REQ-002', 'REQ-003', 'REQ-004', 'REQ-005'],
        marker=dict(size=30, color='#0066cc'),
        textposition="top center",
        textfont=dict(size=12)
    )])

    fig.update_layout(
        title="Requirements Dependency Graph (Sample)",
        xaxis=dict(showgrid=False, zeroline=False),
        yaxis=dict(showgrid=False, zeroline=False),
        plot_bgcolor='white',
        width=700,
        height=400,
        showlegend=False
    )

    graph = mo.ui.plotly(fig)
    return


@app.cell
def _(mo):
    """Tab 5: Memory Editor"""
    mo.md("### 🧠 ZeroClaw Memory")

    mo.md("""
    Persistent memory for AI context. This file is read by ZeroClaw 
    to understand your project's requirements and decisions.
    """)

    memory = mo.ui.text_area(
        label="Memory Content:",
        value="""# Project Memory

    ## Project Overview
    VerdantClaw is an AI-powered requirements management system.

    ## Key Decisions
    - Using Memgraph for requirements graph
    - ZeroClaw for AI agent gateway
    - Obsidian for local vault sync

    ## Current Focus
    - Building IDE-like interface
    - AI-assisted requirement writing
    - Graph visualization
    """,
        full_width=True,
        height=300
    )

    def save_mem():
        return mo.md("✅ Would save to: `/app/workspace/MEMORY.md`\n\n*(File writing enabled after deployment)*")

    mem_result = save_mem()

    mo.vstack([
        memory,
        mo.ui.run_button(label="💾 Save Memory"),
        mem_result
    ])
    return


@app.cell
def _(mo):
    """Tab 6: Code Executor"""
    mo.md("### 💻 Code Executor")

    mo.md("""
    Execute Python code in the server environment.
    **Warning:** Only run trusted code.
    """)

    code_editor = mo.ui.code_editor(
        language="python",
        value="""# Example: Print system info
    import sys
    import os

    print(f"Python version: {sys.version}")
    print(f"Working directory: {os.getcwd()}")
    print(f"\\nHello from VerdantClaw! 🦀")
    """
    )

    def run_code(c):
        import sys
        from io import StringIO

        old_stdout = sys.stdout
        sys.stdout = buf = StringIO()

        try:
            exec(c, {}, {})
            output = buf.getvalue()
            if output:
                return mo.md(f"**Output:**\n```\n{output}\n```")
            else:
                return mo.md("✅ Code executed (no output)")
        except Exception as e:
            return mo.md(f"❌ Error:\n```\n{str(e)}\n```")
        finally:
            sys.stdout = old_stdout

    code_result = run_code(code_editor.value)

    mo.vstack([
        code_editor,
        mo.ui.run_button(label="▶️ Run Code"),
        code_result
    ])
    return


@app.cell
def _(mo):
    """Footer"""
    mo.md("""
    ---

    **VerdantClaw-Secure** | Flow Engineering Requirements System

    Powered by: **Marimo** · **ZeroClaw** · **Memgraph** · **OmniRoute**

    *Testing locally - Deploy to Hugging Face Spaces for full functionality*
    """)
    return


if __name__ == "__main__":
    app.run()