# TinqsMDBridge smoke test -- run via:
#   python tools/md_bridge.py --file tools/md_bridge/smoke_test.py --timeout 120
#
# Defensive by design: MD's api docs are incomplete and signatures unverified,
# so every step is independently try/except'd and the whole thing returns a
# step-by-step report instead of dying on the first surprise. Nothing here
# should be treated as the "right" calling convention until this has passed
# once -- it's a probe, not a recipe.

import inspect
import os
import tempfile
import traceback

report = {"steps": []}


def step(name, fn):
    entry = {"step": name}
    try:
        entry["ok"] = True
        entry["value"] = fn()
    except Exception:
        entry["ok"] = False
        entry["error"] = traceback.format_exc().strip().splitlines()[-1]
    report["steps"].append(entry)
    return entry


def docs_of(mod, names):
    out = {}
    for n in names:
        f = getattr(mod, n, None)
        if f is None:
            out[n] = "<missing>"
            continue
        try:
            out[n] = str(inspect.signature(f))
        except (ValueError, TypeError):
            doc = (getattr(f, "__doc__", "") or "").strip()
            out[n] = doc.splitlines()[0] if doc else "<no signature/doc>"
    return out


# 1. what do the key functions actually look like?
step("signatures.pattern", lambda: docs_of(pattern_api, [
    "CreatePatternWithPoints", "AddSeamlinePairGroup", "SetArrangementPosition",
    "MovePatternPoint", "DeletePatternPiece"]))
step("signatures.utility", lambda: docs_of(utility_api, [
    "NewProject", "Simulate", "GetAvatarCount", "GetAvatarNameList"]))
step("signatures.export", lambda: docs_of(export_api, [
    "ExportSnapshot3D", "ExportCustomViewSnapshot", "ExportGLTF", "ExportFBX"]))

# 2. fresh project
step("NewProject", lambda: utility_api.NewProject())

# 3. default avatar present?
step("avatars", lambda: {
    "count": utility_api.GetAvatarCount(),
    "names": utility_api.GetAvatarNameList(),
})

# 4. create a 50cm square pattern (units unverified -- try mm first, the CLO
#    convention; the snapshot will show which interpretation MD used)
SQUARE_MM = [(0.0, 0.0), (500.0, 0.0), (500.0, 500.0), (0.0, 500.0)]


def make_square():
    return pattern_api.CreatePatternWithPoints(SQUARE_MM)


step("CreatePatternWithPoints(square)", make_square)

# 5. short drape
step("Simulate(30)", lambda: utility_api.Simulate(30))

# 6. snapshot -- the agent's eyes
SNAP = os.path.join(tempfile.gettempdir(), "tinqs_md_smoke.png")


def snap():
    export_api.ExportSnapshot3D(SNAP)
    return {"path": SNAP, "exists": os.path.exists(SNAP),
            "size": os.path.getsize(SNAP) if os.path.exists(SNAP) else 0}


step("ExportSnapshot3D", snap)

report["passed"] = sum(1 for s in report["steps"] if s["ok"])
report["failed"] = sum(1 for s in report["steps"] if not s["ok"])
result = report