import datetime

import pandas as pd
import json

from utils.documents_to_database import documents_to_database
from utils.convert_encoding_meta import convert_encoding_meta

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instagram_data_path = 'data/Instagram/threads/threads_and_replies.json'
with open(instagram_data_path, "r", encoding="raw-unicode-escape") as posts:
    post_comments_1 = json.loads(convert_encoding_meta(posts.read()))

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threads_comments = []
for post in post_comments_1['text_post_app_text_posts']:
    for element in post['media']:
        threads_comments.append({"texte": element['title'],
                                 'datepublication': datetime.datetime.fromtimestamp(
                                     timestamp=element['creation_timestamp']).isoformat(),
                                 "chemin": instagram_data_path,
                                 "index": "rs_instagram_threads",
                                 "type": "posts",
                                 "network": "Instagram"})

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ig_comments_df = pd.DataFrame(threads_comments)

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ig_comments_df.fillna(value="", inplace=True)

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ig_comments_df.drop_duplicates(subset=['texte', 'datepublication'], inplace=True)

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# Filter empty texte
ig_comments_df = ig_comments_df[~ig_comments_df['texte'].str.strip('\n').str.strip().eq('')]

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documents_to_database(ig_comments_df)