#!/usr/bin/env python3
"""Multi-tool set, step 2 (after grounding every backend variant):
draw backend combinations per design ONLY from calls that succeeded on it.
80% two-backend, 20% three-backend; PER distinct combinations per design.
Parameters: graph type CDFG/AIG/DFG 50/25/25, optimisation target area/delay/power 50/25/25,
restricted to variants that succeeded.
    python3 mt_plan.py   -> splits/mt/{train,val,test}.plan.jsonl
"""
import json, random, hashlib, itertools, collections
OK = {"success", "estimated"}
PER = {"train": 2, "val": 2, "test": 2}
W = {"CDFG": .5, "AIG": .25, "DFG": .25, "area": .5, "delay": .25, "power": .25}
rnd = random.Random(2026)
designs = {json.loads(l)["design_id"]: json.loads(l) for l in open("splits/mt/designs_full.jsonl")}
good = collections.defaultdict(lambda: collections.defaultdict(list))   # did -> tool -> [call]
for l in open("splits/mt/results_full.jsonl"):
    r = json.loads(l)
    if r["result"].get("status") in OK:
        good[r["design_id"]][r["tool"]].append({"tool": r["tool"], "parameters": r["parameters"], "key": r["key"]})
stats = collections.Counter()
for split in ("train", "val", "test"):
    out = []
    ids = sorted(d for d in designs if designs[d]["split"] == split)
    for did in ids:
        tools = sorted(good[did])
        if len(tools) < 2: stats[(split, "fewer_than_2_tools")] += 1; continue
        combos = list(itertools.combinations(tools, 2)); tri = list(itertools.combinations(tools, 3))
        chosen = set(); tries = 0
        while len(chosen) < min(PER[split], len(combos) + len(tri)) and tries < 50:
            tries += 1
            pool = tri if (tri and rnd.random() < 0.2) else combos
            combo = rnd.choice(pool)
            if combo in chosen: continue
            chosen.add(combo)
            calls = []
            for t in combo:
                vs = good[did][t]
                v = rnd.choices(vs, [W.get(next(iter(c["parameters"].values()), ""), 1) if c["parameters"] else 1 for c in vs])[0] \
                    if t in ("graph_extractor", "optimization_advisor") else vs[0]
                calls.append(v)
            d = designs[did]
            out.append({"plan_id": hashlib.sha256(json.dumps([did, combo]).encode()).hexdigest()[:12], "design_id": did,
                        "split": split, "module_name": d["module_name"], "source_file": d["source_file"], "calls": calls})
            stats[(split, f"{len(combo)}-tool")] += 1
    with open(f"splits/mt/{split}.plan.jsonl", "w") as f:
        for o in out: f.write(json.dumps(o) + "\n")
    stats[(split, "designs")] = len({o["design_id"] for o in out}); stats[(split, "plans")] = len(out)
for k, v in sorted(stats.items()): print(k, v)