import json
import csv

with open("question_data.csv", "r") as f:
    reader = csv.reader(f)
    questions = []
    for row in reader:
        questions.append(row)

questions = questions[2:] # cut off top two (labels, passage #s)

# qid,prompt,question,a,b,c,d,answer,gold_passage,top10_colbert,,,,,,,,,,generation_colbert,top10_e5,,,,,,,,,,generation_e5,gold_passage_generation
# 0   1      2        3 4 5 6 7      8            9-18                   19                 20-29             30            31
# See example.json for how these files will be ported

full_question_dict = {} # stores all "id":q_data pairs
for entry in questions:
    # Create individual question data
    q_data = {}
    if not entry[1] == "":
        entry[2] = entry[1] + " " + entry[2]
    q_data["question"] = entry[2]
    q_data["answers"] = entry[3:7] # inclusive of (3, 6) -> A, B, C, D
    answer_map = {"A": 0, "B": 1, "C": 2, "D": 3}
    q_data["correct_answer_index"] = answer_map[entry[7]] # entry[7] = "A" -> index = 0
    q_data["top10_colbert"] = entry[9:19] # inclusive of (9-18) -> 10 retrievals
    q_data["generation_colbert"] = entry[19]
    q_data["top10_e5"] = entry[20:30] # inclusive of (20-29) -> 10 retrievals
    q_data["generation_e5"] = entry[30]
    q_data["top10_contains_gold_passage"] = False # this is always the case b/c of programming. Does not reflect reality
    q_data["gold_passage"] = entry[8]
    q_data["gold_passage_generation"] = entry[31]
    # Add to full question dictionary
    full_question_dict[entry[0]] = q_data # entry[0] is qid

with open("question_data.json", "w") as f:
    json.dump(full_question_dict, f)