import pandas as pd
import json
import os
from pathlib import Path

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

#%% In[ ]:
# Get the current file's directory
try:
    # This will work when running as a script
    script_dir = Path(__file__).parent.parent
except NameError:
    # This will work in interactive environments
    script_dir = Path().absolute()

project_root = script_dir
instagram_data_path = os.path.join(project_root, 'import_data', 'data', 'Instagram', 'threads', 'threads_and_replies.json')

with open(instagram_data_path, "r") as posts:
    post_comments_1 = json.loads(convert_encoding_meta(posts.read()))

#%% In[ ]:
threads_comments = []
for post in post_comments_1['text_post_app_text_posts']:
    for element in post['media']:
        threads_comments.append({"texte": element['title'],
                                 'creation_timestamp': element['creation_timestamp'],
                                 "chemin": instagram_data_path,
                                 "index": "rs_instagram_threads",
                                 "type": "posts",
                                 "network": "Threads"})

#%% In[ ]:
ig_comments_df = pd.DataFrame(threads_comments)

#%% In[ ]:
ig_comments_df.fillna(value="", inplace=True)

#%% In[ ]:
ig_comments_df.drop_duplicates(subset=['texte', 'creation_timestamp'], inplace=True)

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

#%% In[ ]:
documents_to_database(ig_comments_df)