প্রভাত আলো

#!/usr/bin/env python3
# conceptual prototype for The "Nexus" Web Development SuperSuite CLI.
# This script simulates the functionality of the Nexus platform in a single file
# for demonstration purposes. It does not perform real analysis or make live API calls.

import click
import time
import random
import json
import re
import sys

# --- MOCK API & SERVICE SIMULATORS ---
# In a real microservices architecture, these would be network calls to other services.

class MockNexusServices:
    """
    Simulates calls to external APIs and internal Nexus microservices.
    In a real app, these methods would make HTTP requests and require API keys
    loaded from environment variables.
    """

    def _simulate_api_call(self, service_name, duration=1.5):
        """Helper to simulate network latency and print feedback."""
        click.echo(f"      [API] Contacting {service_name} Service...")
        time.sleep(duration)
        click.echo(f"      [API] Response received from {service_name}.")

    def call_google_pagespeed(self, url):
        self._simulate_api_call("Google PageSpeed Insights")
        return {
            "lighthouseResult": {
                "categories": {
                    "performance": {"score": random.uniform(0.6, 0.85)},
                    "accessibility": {"score": random.uniform(0.7, 0.95)},
                    "seo": {"score": random.uniform(0.8, 1.0)},
                },
                "audits": {
                    "unminified-css": {"details": {"overallSavingsMs": random.randint(100, 500)}},
                    "unminified-javascript": {"details": {"overallSavingsMs": random.randint(200, 800)}},
                    "uses-responsive-images": {"details": {"overallSavingsBytes": random.randint(100000, 500000)}},
                    "color-contrast": {"title": "Low Contrast Elements", "details": {"items": [
                        {"node": {"snippet": '<p class="text-gray">Contact us</p>'}},
                        {"node": {"snippet": '<a class="subtle-link">Learn More</a>'}},
                    ]}},
                }
            }
        }

    def call_openai_or_gemini(self, prompt, model="gpt-4-turbo"):
        self._simulate_api_call(f"Generative AI ({model})")
        if "color palette" in prompt:
            return {"choices": [{"message": {"content": json.dumps({
                "primary": "#3B82F6", 
                "secondary": "#10B981", 
                "accent": "#F59E0B", 
                "neutral": "#6B7280", 
                "base": "#F3F4F6"
            })}}]}
        elif "ethical check" in prompt:
            return {"choices": [{"message": {"content": "Analysis complete. Found 1 phrase with potentially biased language: 'guys'. Suggestion: 'folks', 'everyone', 'team'."}}]}
        elif "voice-to-ui" in prompt:
             return {"choices": [{"message": {"content": '{"action": "create", "element": "button", "properties": {"label": "Submit", "variant": "primary"}}'}}]}
        else:
            return {"choices": [{"message": {"content": "Generated microcopy: 'Unlock your potential today!'"}}]}


    def call_ssl_labs(self, domain):
        self._simulate_api_call("SSL Labs / OpenSSL Check")
        return {
            "grade": random.choice(["A+", "A", "B", "C"]),
            "warnings": ["Server supports weak TLS 1.0 protocol.", "Certificate chain is incomplete."] if random.random() > 0.5 else [],
            "ciphers": ["TLS_AES_128_GCM_SHA256", "TLS_CHACHA20_POLY1305_SHA256"]
        }
        
    def call_puppeteer_service(self, url, task):
        self._simulate_api_call(f"Headless Browser Service (Task: {task})")
        if task == 'find-invisible':
            return {
                "invisible_elements_found": [
                    {"tag": "div", "id": "modal-offscreen", "reason": "Positioned outside of viewport"},
                    {"tag": "input", "type": "hidden", "id": "csrf-token", "reason": "Has `display: none` style"},
                    {"tag": "a", "href": "#", "reason": "Zero width/height"},
                ]
            }
        return {}

    def call_image_processor(self, path):
        self._simulate_api_call("Page-Weight Reductor (ImageMagick/Sharp)")
        original_size = random.randint(500, 2000)
        reduction = random.uniform(0.4, 0.8)
        new_size = int(original_size * (1 - reduction))
        return {
            "file": f"{path}/image.jpg",
            "original_kb": original_size,
            "new_kb": new_size,
            "reduction_percent": int(reduction * 100)
        }

# Instantiate the mock service class
SERVICES = MockNexusServices()


# --- CLI HELPER FUNCTIONS ---

def print_header(title):
    """Prints a styled header for sections."""
    click.echo("\n" + "─" * 60)
    click.echo(click.style(f"  {title.upper()}", bold=True, fg='cyan'))
    click.echo("─" * 60)

def validate_url(ctx, param, value):
    """Click callback to validate URL format."""
    if value and not re.match(r'https?://\S+', value):
        raise click.BadParameter("Please provide a valid URL (e.g., https://example.com)")
    return value

# --- CLI COMMAND DEFINITIONS ---

@click.group(context_settings=dict(help_option_names=['-h', '--help']))
def cli():
    """
    Nexus SuperSuite: The definitive, all-in-one web creation platform.
    This is a conceptual CLI simulation.
    """
    click.echo(click.style("🚀 Welcome to the Nexus SuperSuite CLI", bold=True))

# --- UNIFIED USER JOURNEY ---

@cli.command('analyze')
@click.argument('url', callback=validate_url)
def unified_analysis(url):
    """
    Runs a sample interconnected workflow from audit to fix.
    """
    print_header("Step 1: Initial Project Audit")
    click.echo(f"Starting comprehensive audit for: {click.style(url, fg='yellow')}")
    
    # Trigger UX Audit
    report = SERVICES.call_google_pagespeed(url)
    perf_score = report['lighthouseResult']['categories']['performance']['score']
    access_score = report['lighthouseResult']['categories']['accessibility']['score']
    
    click.echo("\n" + click.style("✅ Initial Audit Complete!", fg='green'))
    click.echo(f"  - Performance Score: {perf_score:.0%}")
    click.echo(f"  - Accessibility Score: {access_score:.0%}")
    
    # Actionable Path 1: Accessibility
    contrast_issues = report['lighthouseResult']['audits']['color-contrast']['details']['items']
    if contrast_issues:
        click.echo(click.style(f"\n[!] Found {len(contrast_issues)} elements with low contrast.", fg='yellow'))
        if click.confirm(click.style("    -> Open in Real-time Contrast Checker simulation?", fg='cyan'), default=True):
            print_header("Module: Real-time Contrast Checker")
            for item in contrast_issues:
                click.echo(f"  - Analyzing: {item['node']['snippet']}")
            click.echo("  - Suggestion: Change foreground to #111827 for a compliant AA ratio.")
            click.echo(click.style("    CSS Fix: color: #111827;", fg='bright_green'))

    # Actionable Path 2: Performance
    image_savings = report['lighthouseResult']['audits']['uses-responsive-images']['details']['overallSavingsBytes']
    if image_savings > 10000:
        click.echo(click.style(f"\n[!] Found large, unoptimized images (Est. savings: {image_savings/1000:.0f} KB).", fg='yellow'))
        if click.confirm(click.style("    -> Optimize with Page-Weight Reductor simulation?", fg='cyan'), default=True):
            print_header("Module: Page-Weight Reductor")
            result = SERVICES.call_image_processor("./assets")
            click.echo("  - Processing `logo.png`... done.")
            click.echo("  - Processing `hero.jpg`... done.")
            click.echo(f"  ✨ Total Reduction: {result['reduction_percent']}%")
            click.echo(click.style("    Action: A ZIP file with optimized assets has been created.", fg='bright_green'))

    print_header("Analysis Workflow Complete")

# --- PILLAR 1: UI/UX & Design Hub ---
@cli.group('design')
def design():
    """Pillar 1: UI/UX & Design Hub commands."""
    pass

@design.command('audit-ux')
@click.argument('url', callback=validate_url)
def ux_audit(url):
    """Simulates the Instant UX Audit Tool."""
    print_header("Module: Instant UX Audit")
    click.echo(f"Analyzing {url} with Lighthouse and custom heuristics...")
    report = SERVICES.call_google_pagespeed(url)
    perf = report['lighthouseResult']['categories']['performance']['score']
    access = report['lighthouseResult']['categories']['accessibility']['score']
    seo = report['lighthouseResult']['categories']['seo']['score']

    click.echo(f"\nPerformance: {perf:.0%}\nAccessibility: {access:.0%}\nSEO: {seo:.0%}")

@design.command('gen-palette')
@click.argument('emotion')
def gen_palette(emotion):
    """Simulates the Emotion-based Color Scheme Generator."""
    print_header("Module: Emotion-based Color Scheme Generator")
    click.echo(f"Generating a color palette for the emotion: '{emotion}'")
    prompt = f"Generate a 5-color web palette (primary, secondary, accent, neutral, base) based on the emotion: {emotion}. Return only JSON."
    response = SERVICES.call_openai_or_gemini(prompt)
    palette = json.loads(response['choices'][0]['message']['content'])
    for name, hex_code in palette.items():
        click.echo(f"  - {name.capitalize():<10}: " + click.style(f"███ {hex_code}", fg=_hex_to_ansi_color(hex_code)))

def _hex_to_ansi_color(hex_code):
    """A very rough approximation of hex to one of click's 8 colors."""
    h = hex_code.lstrip('#')
    r,g,b = tuple(int(h[i:i+2], 16) for i in (0, 2, 4))
    if r > 200 and g < 100 and b < 100: return 'red'
    if g > 200 and r < 100 and b < 100: return 'green'
    if b > 200 and r < 100 and g < 100: return 'blue'
    if r > 200 and g > 200 and b < 100: return 'yellow'
    if r < 100 and g > 100 and b > 100: return 'cyan'
    if sum([r,g,b])/3 > 180: return 'white'
    return 'bright_black' # default for dark colors

# --- PILLAR 2: Performance & Optimization Hub ---
@cli.group('perf')
def perf():
    """Pillar 2: Performance & Optimization commands."""
    pass

@perf.command('check-ssl')
@click.argument('domain')
def check_ssl(domain):
    """Simulates the SSL Score & Suggestion Tool."""
    print_header("Module: SSL Score & Suggestion Tool")
    report = SERVICES.call_ssl_labs(domain)
    grade_color = 'green' if report['grade'].startswith('A') else 'yellow'
    click.echo(f"Overall Grade for {domain}: " + click.style(report['grade'], fg=grade_color, bold=True))
    if report['warnings']:
        click.echo(click.style("Warnings:", fg='yellow'))
        for warn in report['warnings']:
            click.echo(f"  - {warn}")

@perf.command('reduce-weight')
@click.argument('path', type=click.Path(exists=False, file_okay=False))
def reduce_weight(path):
    """Simulates the Page-Weight Reductor for assets."""
    print_header("Module: Page-Weight Reductor")
    click.echo(f"Scanning directory: {path}")
    click.echo("Found 3 JS files, 2 CSS files, 12 images.")
    with click.progressbar(length=17, label="Optimizing assets") as bar:
        for i in range(17):
            time.sleep(random.uniform(0.05, 0.15))
            bar.update(1)
    click.echo(click.style("\nOptimization Complete. Total size reduced by 48%.", fg='green'))

# --- PILLAR 3: Content & Compliance Hub ---
@cli.group('content')
def content():
    """Pillar 3: Content & Compliance Hub commands."""
    pass

@content.command('check-ethical')
@click.argument('text', required=False)
def check_ethical(text):
    """Simulates the Ethical AI Content Checker."""
    print_header("Module: Ethical AI Content Checker")
    if not text:
        text = click.prompt("Enter text to analyze")
    prompt = f"Perform an ethical check on the following text for bias and toxicity: '{text}'"
    result = SERVICES.call_openai_or_gemini(prompt)
    click.echo(result['choices'][0]['message']['content'])
    
@content.command('gen-privacy')
def gen_privacy():
    """Simulates the One-click Privacy Policy Generator."""
    print_header("Module: Privacy Policy Generator")
    click.echo("Please answer a few questions to generate your policy:")
    uses_ga = click.confirm("Do you use Google Analytics?")
    sells_data = click.confirm("Do you sell user data to third parties?", default=False)
    
    policy = "## Privacy Policy\n\nThis is a generated policy.\n"
    if uses_ga:
        policy += "\n- This site uses Google Analytics to track user engagement. This involves the use of cookies."
    if sells_data:
        policy += "\n- We may sell user data. (Note: You have serious compliance obligations if this is true)."
    else:
        policy += "\n- We do not sell personal data to third parties."

    click.echo("\n--- Generated Policy Snippet ---")
    click.echo(policy)
    click.echo("------------------------------")
    
# --- PILLAR 4: Development & QA Hub ---
@cli.group('qa')
def qa():
    """Pillar 4: Development & QA Hub commands."""
    pass

@qa.command('find-invisible')
@click.argument('url', callback=validate_url)
def find_invisible(url):
    """Simulates the Invisible Element Finder."""
    print_header("Module: Invisible Element Finder")
    click.echo("Starting headless browser to check for non-visible but focusable elements...")
    report = SERVICES.call_puppeteer_service(url, 'find-invisible')
    click.echo(f"Scan complete. Found {len(report['invisible_elements_found'])} potential issues:")
    for el in report['invisible_elements_found']:
        click.echo(f"  - <{el['tag']} id='{el['id']}'> - Reason: {el['reason']}")

@qa.command('voice-prototype')
def voice_prototype():
    """Simulates the Voice-to-UI Prototype Tool."""
    print_header("Module: Voice-to-UI Prototype Tool")
    command = click.prompt(click.style("🎤 Speak your command", fg="red"))
    click.echo(f"   You said: '{command}'")
    click.echo(f"   Parsing command with NLP...")
    prompt = f"voice-to-ui: {command}"
    response = SERVICES.call_openai_or_gemini(prompt, model='gpt-3.5-turbo')
    action = json.loads(response['choices'][0]['message']['content'])
    click.echo(click.style(f"   -> EXECUTING ACTION: Creating a {action['properties']['variant']} '{action['properties']['label']}' button on the canvas.", fg='green'))


if __name__ == "__main__":
    # Add exception handling for a better user experience
    try:
        cli()
    except Exception as e:
        click.echo(click.style(f"\nAn error occurred: {e}", fg='red'), err=True)
        sys.exit(1)