utils.py

import os
import json
import difflib
import time
from datetime import datetime
import plotly.graph_objects as go

INCIDENTS_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "incidents")
os.makedirs(INCIDENTS_DIR, exist_ok=True)

def generate_code_diff_html(original_code: str, patched_code: str) -> str:
    orig_lines = str(original_code).splitlines()
    patched_lines = str(patched_code).splitlines()
    diff = difflib.unified_diff(orig_lines, patched_lines, fromfile="broken_pipeline.py", tofile="healed_pipeline.py", lineterm="")
    diff_lines = list(diff)
    if not diff_lines:
        return "<div style='font-family: monospace; color: #a0aec0; padding: 10px;'>No code changes detected.</div>"
    html_lines = ["<div style='font-family: Consolas, Monaco, monospace; font-size: 13px; background-color: #1a202c; color: #e2e8f0; border-radius: 8px; padding: 14px; overflow-x: auto; max-height: 450px; border: 1px solid #2d3748;'>"]
    for line in diff_lines:
        safe_line = line.replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;")
        if line.startswith("+") and not line.startswith("+++"):
            html_lines.append(f"<div style='background-color: rgba(72, 187, 120, 0.2); color: #68d391; padding: 2px 6px; border-left: 3px solid #38a169;'>{safe_line}</div>")
        elif line.startswith("-") and not line.startswith("---"):
            html_lines.append(f"<div style='background-color: rgba(245, 101, 101, 0.2); color: #fc8181; padding: 2px 6px; border-left: 3px solid #e53e3e;'>{safe_line}</div>")
        elif line.startswith("@"):
            html_lines.append(f"<div style='color: #63b3ed; font-weight: bold; padding: 4px 0;'>{safe_line}</div>")
        else:
            html_lines.append(f"<div style='padding: 2px 6px; color: #cbd5e0;'>{safe_line}</div>")
    html_lines.append("</div>")
    return "\n".join(html_lines)

def save_incident_report(incident_data: dict) -> str:
    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
    incident_id = incident_data.get("id", f"INC-{timestamp}")
    filename = f"{incident_id}.json"
    filepath = os.path.join(INCIDENTS_DIR, filename)
    with open(filepath, "w", encoding="utf-8") as f:
        json.dump(incident_data, f, indent=2)
    return filepath

def get_all_incidents() -> list:
    incidents = []
    if not os.path.exists(INCIDENTS_DIR):
        return incidents
    for filename in sorted(os.listdir(INCIDENTS_DIR), reverse=True):
        if filename.endswith(".json"):
            filepath = os.path.join(INCIDENTS_DIR, filename)
            try:
                with open(filepath, "r", encoding="utf-8") as f:
                    incidents.append(json.load(f))
            except Exception as e:
                print(f"Error loading incident {filename}: {e}")
    return incidents

def create_telemetry_chart(history_metrics: list):
    steps = [m.get("step", i) for i, m in enumerate(history_metrics)]
    accuracy = [m.get("accuracy", 0) * 100 for m in history_metrics]
    loss = [m.get("loss", 0) for m in history_metrics]
    memory = [m.get("memory_mb", 0) for m in history_metrics]
    fig = go.Figure()
    fig.add_trace(go.Scatter(x=steps, y=accuracy, name="Model Accuracy (%)", line=dict(color="#48bb78", width=3), mode="lines+markers", yaxis="y1"))
    fig.add_trace(go.Scatter(x=steps, y=loss, name="Training Loss", line=dict(color="#ed8936", width=2, dash="dash"), mode="lines+markers", yaxis="y2"))
    fig.add_trace(go.Scatter(x=steps, y=memory, name="Memory (MB)", line=dict(color="#4299e1", width=2, dash="dot"), mode="lines+markers", yaxis="y3"))
    fig.update_layout(
        template="plotly_dark",
        paper_bgcolor="rgba(0,0,0,0)",
        plot_bgcolor="rgba(26,32,44,0.6)",
        font=dict(family="Inter, sans-serif", color="#e2e8f0"),
        height=320,
        margin=dict(l=40, r=40, t=40, b=40),
        legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
        xaxis=dict(title="Pipeline Step / Iteration", gridcolor="#2d3748"),
        yaxis=dict(title=dict(text="Accuracy (%)", font=dict(color="#48bb78")), tickfont=dict(color="#48bb78"), gridcolor="#2d3748"),
        yaxis2=dict(title=dict(text="Loss", font=dict(color="#ed8936")), tickfont=dict(color="#ed8936"), overlaying="y", side="right", showgrid=False),
        yaxis3=dict(title=dict(text="Memory (MB)", font=dict(color="#4299e1")), tickfont=dict(color="#4299e1"), overlaying="y", side="right", position=0.95, showgrid=False)
    )
    return fig