import argparse
import logging
import sys
import traceback
import operator
import numpy as np

from .model      import load_model
from .encode     import encode_contract, load_and_encode, parse_target
from .cache      import save_cache
from .similarity import similarity

logger = logging.getLogger("Slither-simil")

def test(args):

    try:
        model = args.model
        model = load_model(model)
        filename = args.filename
        contract, fname = parse_target(args.fname) 
        infile = args.input
        ntop = args.ntop

        if filename is None or contract is None or fname is None or infile is None:
            logger.error('The test mode requires filename, contract, fname and input parameters.')
            sys.exit(-1)

        irs = encode_contract(filename, **vars(args))
        if len(irs) == 0:
            sys.exit(-1)

        y = " ".join(irs[(filename,contract,fname)])
        
        fvector = model.get_sentence_vector(y)
        cache = load_and_encode(infile, **vars(args))
        #save_cache("cache.npz", cache)

        r = dict()
        for x,y in cache.items():
            r[x] = similarity(fvector, y)

        r = sorted(r.items(), key=operator.itemgetter(1), reverse=True)
        logger.info("Reviewed %d functions, listing the %d most similar ones:", len(r), ntop)
        format_table = "{: <65} {: <20} {: <20} {: <10}"
        logger.info(format_table.format(*["filename", "contract", "function", "score"]))
        for x,score in r[:ntop]:
            score = str(round(score, 3))
            logger.info(format_table.format(*(list(x)+[score])))

    except Exception:
        logger.error('Error in %s' % args.filename)
        logger.error(traceback.format_exc())
        sys.exit(-1)