import pandas as pd
import os
from tqdm import tqdm
import json

directories = ['lifestyle', 'pooled', 'recreation', 'science', 'technology', 'writing'] #os.listdir()

for directory in directories:

	for file_type in ["dev", "test"]:

		if directory != 'pooled':

			with open('data/' + directory + "/" + file_type + "/metadata.jsonl", 'r', encoding="utf-8") as json_file:
				metadata = list(json_file)

			post_id_to_author = {}

			for json_str in metadata:
				current_row = json.loads(json_str)
				current_post_ids = current_row['post_ids']
				current_post_authors = current_row['post_authors']

				for post_id, author in zip(current_post_ids, current_post_authors):
					post_id_to_author[post_id] = author

		else:

			from collections import defaultdict
			def default_value():
				return ""
			post_id_to_author = defaultdict(default_value)

		#####################################################################################

		current_jsonl = []
		loaded_file = pd.read_csv('data/' + directory + "/" + file_type + "/collection.tsv", sep='\t', header=0)

		for row in tqdm(range(0, len(loaded_file))):

			current_jsonl.append({
					"doc_id": row,
					"author": post_id_to_author[row],
					"text": loaded_file.iloc[row][1]
				})

		if not os.path.isdir(directory):

			os.mkdir(directory)

		with open(directory + "/" + file_type + "_collection.jsonl", 'w', encoding="utf-8") as fout:
			json.dump(current_jsonl, fout)