49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
import pandas as pd
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import json
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import os
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from pathlib import Path
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from utils.documents_to_database import documents_to_database
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from utils.convert_encoding_meta import convert_encoding_meta
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#%% In[ ]:
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# Get the current file's directory
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try:
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# This will work when running as a script
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script_dir = Path(__file__).parent.parent
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except NameError:
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# This will work in interactive environments
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script_dir = Path().absolute()
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project_root = script_dir
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instagram_data_path = os.path.join(project_root, 'import_data', 'data', 'Instagram', 'threads', 'threads_and_replies.json')
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with open(instagram_data_path, "r", encoding="raw-unicode-escape") as posts:
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post_comments_1 = json.loads(convert_encoding_meta(posts.read()))
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#%% In[ ]:
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threads_comments = []
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for post in post_comments_1['text_post_app_text_posts']:
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for element in post['media']:
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threads_comments.append({"texte": element['title'],
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'creation_timestamp': element['creation_timestamp'],
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"chemin": instagram_data_path,
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"index": "rs_instagram_threads",
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"type": "posts",
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"network": "Instagram"})
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#%% In[ ]:
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ig_comments_df = pd.DataFrame(threads_comments)
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#%% In[ ]:
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ig_comments_df.fillna(value="", inplace=True)
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#%% In[ ]:
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ig_comments_df.drop_duplicates(subset=['texte', 'creation_timestamp'], inplace=True)
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#%% In[ ]:
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# Filter empty texte
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ig_comments_df = ig_comments_df[~ig_comments_df['texte'].str.strip('\n').str.strip().eq('')]
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#%% In[ ]:
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documents_to_database(ig_comments_df)
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