import million.parse.fb_exports as fb
import million.analyze.message_evaluation as msg_val
from million.analyze.count_analysis import  search_value_at


DATA_PATH = "./data/"
export = fb.parse_dirfiles(DATA_PATH)
messages = export.messages

expected = 0
idx = 0
total_len = len(messages)
total_as_percent = 100 / total_len

with open('output/analysis_breakdown.txt', 'w', encoding="utf-8") as fichier:
    while idx < total_len:
        print(f"\r{round(idx * total_as_percent, 1)}%", end="")

        # skip messages with no detected value
        if msg_val.get(messages[idx]) == None:
            idx += 1
            continue

        expected += 1

        found_index = search_value_at(messages, idx, expected)
        
        if found_index:
            fichier.write(f"{expected}\t⇒{messages[found_index]}\n")
            idx = found_index + 1
        else:
            fichier.write(f"{expected}[X]\t⇒{messages[idx]}\n")

print("\nComplete analysis in: output/analysis_breakdown.txt")