# Example: Build your own sovereign model with Summon
# pip install summon
# python examples/build_my_model.py

from summon import Summon

# ── Option A: Full pipeline ───────────────────────────────────
model = (
    Summon.begin("AhmadMeta-v1")           # name it whatever you want
    .base("nemotron-mini-4b")              # pick your base model
    .corpus(layers=[                        # point at your training data
        "data/the_book.jsonl",
        "data/enoch.jsonl",
        "data/circle7.jsonl",
    ])
    .constitutional([                       # your model's principles
        "truth",
        "sovereignty",
        "evidence",
        "no_deception",
    ])
    .license("sovereign-source-v1")        # how you release it
    .train(device="cuda", epochs=3)        # train on your GPU
    .push("my-org/AhmadMeta-v1")          # push to HuggingFace
)

model.manifest()


# ── Option B: Corpus builder + model separately ───────────────
from summon import Summon

corpus = (
    Summon.corpus()
    .layer(0, "data/the_book.jsonl",   name="genesis")
    .layer(1, "data/enoch.jsonl",      name="enochian")
    .layer(2, "data/gospels.jsonl",    name="hidden_gospels")
    .layer(3, "data/circle7.jsonl",    name="sovereign_lineage")
    .layer(4, "data/book_of_dead.jsonl", name="world_wisdom")
    .layer(5, "data/masters.jsonl",    name="masters_of_art")
    .seal()
)

model = (
    Summon.begin("JessicaLM-v1")
    .base("llama3-8b")
    .corpus(corpus_obj=corpus)
    .constitutional(["truth", "care", "sovereignty"])
    .license("apache-2.0")
    .train(device="cuda", epochs=5, batch_size=8)
    .push("jessica-org/JessicaLM-v1")
)


# ── Option C: Dry run (validate config, no GPU needed) ────────
model = (
    Summon.begin("TestModel-v1")
    .base("phi3-mini")
    .corpus(layers=["data/sample.jsonl"])
    .constitutional(["truth"])
    .train(dry_run=True)     # just validates config
)

model.manifest()