from dash import Dash, html, dcc, Input, Output
import plotly.graph_objects as go
from radon.complexity import cc_visit
import dash_bootstrap_components as dbc

app = Dash(__name__, external_stylesheets=[dbc.themes.CYBORG])
server = app.server

def analyze_code(code):

    if not code:
        return 0,"Paste code to analyze",0

    try:
        results = cc_visit(code)
        complexity = sum([r.complexity for r in results])
    except:
        complexity = 1

    if complexity == 0:
        complexity = 1

    quality = max(100-(complexity*4),40)

    if complexity > 15:
        suggestion = "Code is highly complex. Reduce nested loops and split functions."
    elif complexity > 8:
        suggestion = "Moderate complexity. Try simplifying logic."
    else:
        suggestion = "Code quality looks good."

    return quality, suggestion, complexity


def create_gauge(score):

    fig = go.Figure(go.Indicator(

        mode="gauge+number",

        value=score,

        title={'text':"Quality Score"},

        gauge={
            'axis':{'range':[0,100]},
            'bar':{'color':"lime"},
            'steps':[
                {'range':[0,50],'color':"red"},
                {'range':[50,75],'color':"orange"},
                {'range':[75,100],'color':"green"}
            ]
        }

    ))

    fig.update_layout(template="plotly_dark")

    return fig


app.layout = dbc.Container([

html.H1("AI Code Quality Analyzer Dashboard",
style={'textAlign':'center','marginBottom':'30px'}),

dbc.Row([

dbc.Col([

html.H4("Enter Python Code"),

dcc.Textarea(

id="code_input",

placeholder="Paste your Python code here...",

style={
'width':'100%',
'height':'350px',
'backgroundColor':'#111',
'color':'white',
'border':'1px solid gray'
}

),

html.Br(),

dbc.Button(
"Analyze Code",
id="analyze_btn",
color="primary",
style={'width':'100%'}
)

], width=6),

dbc.Col([

html.H4("Analysis Results"),

dbc.Card([

dbc.CardBody([

html.H5(id="suggestion"),

html.Br(),

dcc.Graph(id="quality_graph"),

html.H5(id="complexity_score")

])

])

], width=6)

])

], fluid=True)


@app.callback(

Output("suggestion","children"),
Output("quality_graph","figure"),
Output("complexity_score","children"),

Input("analyze_btn","n_clicks"),
Input("code_input","value")

)

def update_output(n_clicks, code):

    quality, suggestion, complexity = analyze_code(code)

    fig = create_gauge(quality)

    return (

"AI Suggestion: " + suggestion,

fig,

"Code Complexity Score: " + str(complexity)

)


if __name__ == "__main__":
    app.run(host="0.0.0.0", port=7860)