"""AstrAI promo: Full architecture overview — layer by layer introduction."""

from manim import *


class Architecture(Scene):
    """Reveals AstrAI's 5-layer inference stack, introducing each layer."""

    def construct(self):
        title = Text("AstrAI Architecture", font_size=44, color=BLUE)
        self.play(Write(title))
        self.play(title.animate.to_edge(UP, buff=0.3))

        W = 8.0

        def box(h=1.05, color=GRAY, fill=0.08):
            return Rectangle(width=W, height=h, color=color, fill_opacity=fill, stroke_width=1.5)

        def layer_header(text, color):
            return Text(text, font_size=20, color=color, weight=BOLD)

        def sub(text):
            return Text(text, font_size=12, color=WHITE)

        def intro(title, detail, color, oneline=None):
            """Animate a layer: box + title → details → brief pause."""
            b = box(color=color, fill=0.1)
            content = VGroup(title)
            if oneline:
                content.add(oneline)
            if detail:
                items = [title]
                if oneline:
                    items.append(oneline)
                items.extend(detail)
                content = VGroup(*items)
            else:
                content = VGroup(title) if not oneline else VGroup(title, oneline)
            content.arrange(DOWN, buff=0.15)
            content.move_to(b.get_center())
            grp = VGroup(b, content)
            return grp

        layers = []

        # ── Layer 1: API Server ──
        l1_t = layer_header("HTTP API Server", GREEN)
        l1_d = [sub("FastAPI  •  OpenAI-Compatible  /v1/chat/completions"),
                sub("Streaming SSE  •  Async  •  Health/Stats Endpoints")]
        l1 = intro(l1_t, l1_d, GREEN, sub("astrai/inference/server.py"))
        l1.next_to(title, DOWN, buff=0.35)
        layers.append(l1)

        # ── Layer 2: Inference Engine ──
        l2_t = layer_header("InferenceEngine", BLUE)
        l2_d = [sub("generate()  ·  generate_async()  ·  generate_with_request()"),
                sub("Batch mode  ·  Streaming (Generator)  ·  Thread-safe accumulator")]
        l2 = intro(l2_t, l2_d, BLUE, sub("astrai/inference/engine.py"))
        l2.next_to(l1, DOWN, buff=0.12)
        layers.append(l2)

        # ── Layer 3: Continuous Batching Scheduler ──
        l3_t = layer_header("InferenceScheduler  (Background Daemon)", YELLOW)
        l3_d = [sub("Cleanup → Refill → Prefill → Decode  ·  4-phase loop"),
                sub("Position-Grouped Decode  ·  Bitmask O(1) Slot Allocation")]
        l3 = intro(l3_t, l3_d, YELLOW, sub("astrai/inference/scheduler.py"))
        l3.next_to(l2, DOWN, buff=0.12)
        layers.append(l3)

        # ── Layer 4: Prefix Cache + KV Cache ──
        l4_t = layer_header("PrefixCacheManager  +  KV Cache", ORANGE)
        l4_d = [sub("Radix Tree prefix matching  ·  LRU eviction  ·  Slot versioning"),
                sub("GPU copy_() → Zero-Copy Reuse  ·  k_cache / v_cache tensors")]
        l4 = intro(l4_t, l4_d, ORANGE, sub("astrai/inference/scheduler.py"))
        l4.next_to(l3, DOWN, buff=0.12)
        layers.append(l4)

        # ── Layer 5: Transformer Model ──
        l5_t = layer_header("Transformer  (1B params)", PURPLE)
        l5_d = [sub("24× DecoderBlock  ·  GQA 6:1  ·  RoPE  ·  SwiGLU MLP"),
                sub("Dim 1536  ·  Max Length 2048  ·  bfloat16  ·  100K vocab")]
        l5 = intro(l5_t, l5_d, PURPLE, sub("astrai/model/transformer.py"))
        l5.next_to(l4, DOWN, buff=0.12)
        layers.append(l5)

        # ── Animate layer by layer ──
        arrows = VGroup()
        for i, layer in enumerate(layers):
            self.play(Create(layer), run_time=0.4)
            self.wait(1.0 if i < 2 else 0.8)
            if i > 0:
                prev = layers[i - 1][0]
                curr = layer[0]
                arrow = Arrow(
                    prev.get_bottom(), curr.get_top(),
                    color=GRAY, buff=0.06,
                    max_tip_length_to_length_ratio=0.18,
                )
                self.play(Create(arrow), run_time=0.15)
                arrows.add(arrow)

        self.wait(0.6)

        # ── Highlight: the innovation layers ──
        hl3 = SurroundingRectangle(layers[2], color=YELLOW, buff=0.1, stroke_width=2)
        hl4 = SurroundingRectangle(layers[3], color=ORANGE, buff=0.1, stroke_width=2)
        hl_note = Text("Key Innovations: Continuous Batching  +  Prefix Cache",
                       font_size=18, color=GOLD)
        hl_note.next_to(VGroup(hl3, hl4), LEFT, buff=0.5)
        self.play(Create(hl3), Create(hl4), Write(hl_note))
        self.wait(2.0)
        self.play(FadeOut(hl3), FadeOut(hl4), FadeOut(hl_note))

        # ── Fade to CTA ──
        self.play(FadeOut(VGroup(*layers)), FadeOut(arrows))

        cta = VGroup(
            Text("AstrAI", font_size=52, color=BLUE),
            Text("Single GPU  ·  Open Source  ·  1B params", font_size=22, color=GRAY),
            Text("github.com/ViperEkura/AstrAI", font_size=18, color=YELLOW),
        ).arrange(DOWN, buff=0.35)
        cta.move_to(ORIGIN)
        self.play(Write(cta))
        self.wait(2.5)
        self.play(FadeOut(cta), FadeOut(title))