#!/usr/bin/env python3
import json
import sys

with open('/root/.hermes/profiles/spark/models_dev_cache.json') as f:
    cache = json.load(f)

target = "poolside/laguna-xs-2.1:free"

def find_model(data, target, path="", max_depth=10):
    if max_depth < 0:
        return {"found": False, "path": path, "reason": "max depth"}
    if isinstance(data, dict):
        if target in data:
            return {"found": True, "path": path or "root", "value": data[target]}
        # Check for nested provider:pool naming
        for k, v in data.items():
            if isinstance(v, (dict, list)):
                result = find_model(v, target, f"{path}.{k}" if path else k, max_depth-1)
                if result.get('found'):
                    return result
            # Check if key contains target
            if isinstance(k, str) and target in k:
                return {"found": True, "path": path or "root", "key_match": k}
    elif isinstance(data, list):
        for i, item in enumerate(data):
            if isinstance(item, (dict, list)):
                result = find_model(item, target, f"{path}[{i}]", max_depth-1)
                if result.get('found'):
                    return result
    return {"found": False, "path": path}

result = find_model(cache, target)
print(json.dumps(result, indent=2))