"""Machine-readable site discovery endpoints for crawlers and AI agents."""

from django.http import HttpResponse
from django.template.loader import render_to_string
from django.urls import reverse

# Public marketing pages included in sitemap and llms.txt.
# Tuple: (url_name, title, changefreq, priority, summary)
PUBLIC_PAGE_ENTRIES = (
    (
        "public_index",
        "Home",
        "weekly",
        "1.0",
        "Company homepage with an overview of AI ML Operations services.",
    ),
    (
        "forward_deployed",
        "Forward-Deployed AI",
        "monthly",
        "0.9",
        "Embedded AI engineering — we work inside your environment to build production systems.",
    ),
    (
        "bot",
        "AI Agents",
        "monthly",
        "0.9",
        "Custom AI agents and agentic workflows tailored to your operational bottlenecks.",
    ),
    (
        "ml_model",
        "ML Models",
        "monthly",
        "0.8",
        "Machine learning model development, training, and deployment for production use.",
    ),
    (
        "chat",
        "Secure AI Chat",
        "monthly",
        "0.8",
        "Private, hosted AI chat deployments with enterprise-grade security.",
    ),
    (
        "ai_sensor",
        "AI Sensor Algorithms",
        "monthly",
        "0.7",
        "Computer vision and sensor-fusion algorithms for real-world sensing applications.",
    ),
    (
        "ai_education",
        "AI Education",
        "monthly",
        "0.7",
        "Hands-on AI training and workshops for teams adopting agentic workflows.",
    ),
    (
        "computers",
        "Computer Builds",
        "monthly",
        "0.7",
        "Custom workstation and server builds optimized for AI and ML workloads.",
    ),
    (
        "file_hosting",
        "File Hosting",
        "monthly",
        "0.7",
        "Managed file hosting and storage for teams that need reliable data access.",
    ),
    (
        "web_design",
        "Web Design and Hosting",
        "monthly",
        "0.8",
        "Custom brand-tailored sites with interactive package pricing. You own the site and data. "
        "Public site + client portal (UTM/leads) always included; add-ons for Email/SMS, direct mail, "
        "blog, Stripe payments, social, and AI social. Every build includes three-instance hosting, "
        "SEO/accessibility/LLM readiness, and Grafana metrics and alerts.",
    ),
    (
        "contact",
        "Contact",
        "monthly",
        "0.9",
        "Contact form to inquire about forward-deployed AI engineering services.",
    ),
    (
        "terms_of_service",
        "Terms of Service and Privacy",
        "yearly",
        "0.3",
        "Terms of service and privacy policy for AI ML Operations, LLC.",
    ),
)

SERVICE_URL_NAMES = frozenset({
    "forward_deployed",
    "bot",
    "ml_model",
    "chat",
    "ai_sensor",
    "ai_education",
    "computers",
    "file_hosting",
    "web_design",
})


def get_service_entries():
    """Return service page metadata for WebMCP navigation tools."""
    return [
        {
            "slug": url_name,
            "name": title,
            "summary": summary,
        }
        for url_name, title, _changefreq, _priority, summary in PUBLIC_PAGE_ENTRIES
        if url_name in SERVICE_URL_NAMES
    ]


def _absolute_url(request, url_name):
    return request.build_absolute_uri(reverse(url_name))


def robots_txt(request):
    sitemap_url = _absolute_url(request, "sitemap_xml")
    content = render_to_string(
        "public/robots.txt",
        {
            "sitemap_url": sitemap_url,
            "llms_url": _absolute_url(request, "llms_txt"),
        },
    )
    return HttpResponse(content, content_type="text/plain; charset=utf-8")


def sitemap_xml(request):
    pages = [
        {
            "loc": _absolute_url(request, url_name),
            "changefreq": changefreq,
            "priority": priority,
        }
        for url_name, _title, changefreq, priority, _summary in PUBLIC_PAGE_ENTRIES
    ]
    content = render_to_string("public/sitemap.xml", {"pages": pages})
    return HttpResponse(content, content_type="application/xml; charset=utf-8")


def llms_txt(request):
    from .web_design_pricing import (
        WEB_DESIGN_INCLUDED,
        features_for_json,
    )

    pages = [
        {
            "title": title,
            "url": _absolute_url(request, url_name),
            "summary": summary,
        }
        for url_name, title, _changefreq, _priority, summary in PUBLIC_PAGE_ENTRIES
    ]
    content = render_to_string(
        "public/llms.txt",
        {
            "site_url": request.build_absolute_uri("/"),
            "contact_url": _absolute_url(request, "contact"),
            "web_design_url": _absolute_url(request, "web_design"),
            "web_design_features": features_for_json(),
            "web_design_included": WEB_DESIGN_INCLUDED,
            "pages": pages,
        },
    )
    return HttpResponse(content, content_type="text/plain; charset=utf-8")