"""
Copy only the "remove all distractors" samples from eval_outputs_removeonly_old
into eval_outputs_removeall_old for each model.

A sample qualifies if:
  - command_type is "remove_only"
  - target_sources is ["speech"]
  - ALL distractors listed in metadata are named in the user_input command
"""

import json
import os
import shutil

BASE = "/home/kthakka2/scratchmelhila1/karan/EMMA2_text_conditioning_contextual/experiments"

MODELS = [
    "TSDL_old_mixtures",
    "no_TSDL_old_mixtures",
    "combined_v1",
    "frequencyweighted_v1",
    "multiscale_v1",
]

for model in MODELS:
    src_dir = os.path.join(BASE, model, "eval_outputs_removeonly_old", "outputs")
    dst_dir = os.path.join(BASE, model, "eval_outputs_removeall_old", "outputs")

    if not os.path.exists(src_dir):
        print(f"SKIP {model}: {src_dir} not found")
        continue

    os.makedirs(dst_dir, exist_ok=True)

    total = 0
    copied = 0

    for sample_dir in sorted(os.listdir(src_dir)):
        sample_path = os.path.join(src_dir, sample_dir)
        meta_path = os.path.join(sample_path, "metadata.json")
        if not os.path.isdir(sample_path) or not os.path.exists(meta_path):
            continue

        total += 1

        with open(meta_path) as f:
            meta = json.load(f)

        cmd = meta.get("command_variant", {})
        user_input = cmd.get("user_input", "") or ""
        target_sources = cmd.get("target_sources", [])
        distractors = meta.get("distractors", [])

        if target_sources != ["speech"]:
            continue
        if not distractors:
            continue

        # Check all distractors are named in the command
        all_removed = all(
            dist.replace("_", " ") in user_input for dist in distractors
        )
        if not all_removed:
            continue

        # Copy the sample directory
        dst_sample = os.path.join(dst_dir, sample_dir)
        if os.path.exists(dst_sample):
            shutil.rmtree(dst_sample)
        shutil.copytree(sample_path, dst_sample)
        copied += 1

    # Also copy the summary JSON if it exists
    for summary_file in ["results_summary.json", "eval_results.json"]:
        src_summary = os.path.join(BASE, model, "eval_outputs_removeonly_old", summary_file)
        if os.path.exists(src_summary):
            shutil.copy2(src_summary, os.path.join(BASE, model, "eval_outputs_removeall_old", summary_file))

    print(f"{model}: copied {copied}/{total} samples to eval_outputs_removeall_old")