import os
import json
import time
import random
from pathlib import Path
from google import genai
from google.genai import types

GEMINI_API_KEY = os.environ["GEMINI_API_KEY"]
client = genai.Client(api_key=GEMINI_API_KEY)

# ─────────────────────────────────────────────────────────────────────────────
# ORDRE CRITIQUE : personnages EN PREMIER (Images 0, 1, 2).
# Cette histoire se passe dans un seul décor (chambre) — pas de décor référence.
# ─────────────────────────────────────────────────────────────────────────────
REFS = {
    # --- PERSONNAGES (Images 0, 1, 2) ---
    "enfant":  "boy.png",     # Image 0 -> {prenom} child character
    "etoile":  "etoile.png",  # Image 1 -> L'Etoile des Souvenirs
    "parent":  "father.png",  # Image 2 -> Le Parent
}

CHARACTER_MAPPING = (
    "STRICT IDENTITY MAPPING — follow exactly: "
    "Character 1 (CHILD {prenom}) = Image 0. "
    "Character 2 (L'ETOILE DES SOUVENIRS) = Image 1. "
    "Character 3 (LE PARENT) = Image 2. "
)

LOCK_PHRASES = (
    "Maintain strict facial likeness of every character as shown in their reference image. "
    "Ensure character structure, skin tone, clothing colors, and hair style remain 100% identical "
    "to the reference sheet. Do not alter character proportions or anatomy. "
)

IMAGE_DESCRIPTIONS = (
    "Image 0 = CHILD {prenom}: 5 years old, soft round face, warm medium brown skin, big round dark "
    "brown expressive eyes with long lashes, short wavy dark hair, wearing a beige pajama top with "
    "a small star pocket detail and soft green pajama pants with star print, bare feet, rosy cheeks. "
    "Same face and outfit every scene. "
    "Image 1 = L'ETOILE DES SOUVENIRS: chubby rounded five-pointed star shape, warm golden-amber matte "
    "exterior with inner glow, large gentle warm brown eyes, small nose, gentle smile, golden sparkles "
    "and dust motes floating around it, slightly translucent glowing edges. Expression MIRRORS the "
    "child's emotion exactly in every scene — sad when child is sad, joyful when joyful, etc. "
    "Same design every scene. "
    "Image 2 = LE PARENT: adult man, short wavy dark hair with light stubble, warm kind brown eyes, "
    "sage green knitted crewneck sweater, beige pants, loving and proud expression. "
    "Appears only on pages 15-16. Same design every scene. "
)

PRENOM = "Noa"


def load_references():
    loaded = {}
    for name, path in REFS.items():
        if Path(path).exists():
            loaded[name] = Path(path).read_bytes()
            print(f"Reference chargee : {path}")
        else:
            loaded[name] = None
            print(f"Pas de reference : {path}")
    return loaded


def call_with_retry(parts, max_retries=5):
    for attempt in range(max_retries):
        try:
            return client.models.generate_content(
                model="gemini-3-pro-image-preview",
                contents=parts,
                config=types.GenerateContentConfig(
                    response_modalities=["IMAGE", "TEXT"]
                )
            )
        except Exception as e:
            wait = (2 ** attempt) + random.uniform(0, 2)
            print(f"Tentative {attempt + 1}/{max_retries} echouee : {e}")
            if attempt < max_retries - 1:
                print(f"Attente {wait:.1f}s avant retry...")
                time.sleep(wait)
            else:
                raise


def generate_page(page_data, style_master, refs, output_dir="pages_etoile"):
    Path(output_dir).mkdir(exist_ok=True)
    page_num = page_data["page"]
    page_type = page_data["type"]
    prompt = page_data["prompt"].replace("{prenom}", PRENOM)
    output_path = f"{output_dir}/page_{page_num:02d}.png"

    format_instruction = (
        "IMPORTANT: single full square illustration 2362x2362 pixels, no spread, no border, fills entire frame."
        if page_type == "simple"
        else "IMPORTANT: double page spread 4724x2362 pixels, 2:1 ratio, safe center fold, no spine line, fills entire frame."
    )

    full_prompt = style_master + " " + format_instruction + " Scene: " + prompt
    print(f"Page {page_num:02d}...")

    mapping = CHARACTER_MAPPING.replace("{prenom}", PRENOM)
    descriptions = IMAGE_DESCRIPTIONS.replace("{prenom}", PRENOM)

    text = (
        mapping
        + LOCK_PHRASES
        + descriptions
        + "BEDROOM SETTING: cozy child bedroom at night, wooden furniture, soft colorful quilt on bed, "
          "toys and stuffed animals on shelves, drawings pinned on walls, large window showing starry "
          "night sky, blue moonlight and warm amber lamp glow, magical intimate atmosphere. "
        + "Now generate: " + full_prompt
    )

    # Personnages en premier (0 → 1 → 2)
    parts = [types.Part(text=text)]
    for key in ["enfant", "etoile", "parent"]:
        if refs.get(key):
            parts.append(types.Part(
                inline_data=types.Blob(data=refs[key], mime_type="image/png")
            ))

    response = call_with_retry(parts)

    for part in response.candidates[0].content.parts:
        if part.inline_data:
            with open(output_path, "wb") as f:
                f.write(part.inline_data.data)
            print(f"OK : {output_path}")
            return output_path

    print(f"ERREUR page {page_num} : aucune image dans la reponse")
    return None


def generate_book(prompts_file="prompts_etoile.json", start_page=1, end_page=None):
    with open(prompts_file, "r", encoding="utf-8") as f:
        data = json.load(f)

    style_master = data["style_master"]
    pages = data["pages"]

    if end_page:
        pages = [p for p in pages if start_page <= p["page"] <= end_page]
    else:
        pages = [p for p in pages if p["page"] >= start_page]

    refs = load_references()

    print(f"Generation : {len(pages)} pages — prenom : {PRENOM}")
    results = []

    for page_data in pages:
        path = generate_page(page_data, style_master, refs)
        results.append({
            "page": page_data["page"],
            "path": path,
            "success": path is not None
        })
        time.sleep(5)

    success = sum(1 for r in results if r["success"])
    print(f"\nTermine : {success}/{len(pages)} pages generees")

    with open("book_etoile_results.json", "w") as f:
        json.dump(results, f, indent=2)

    return results


if __name__ == "__main__":
    import sys
    prompts_file = sys.argv[1] if len(sys.argv) > 1 else "prompts_etoile.json"
    start = int(sys.argv[2]) if len(sys.argv) > 2 else 1
    end = int(sys.argv[3]) if len(sys.argv) > 3 else None
    generate_book(prompts_file, start, end)