43 lines
1.5 KiB
Python
43 lines
1.5 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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fb_data_path = [os.path.join(project_root, 'import_data', 'data', 'Facebook', 'comments_and_reactions', 'comments.json')]
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with open(fb_data_path[0], "r", encoding="raw-unicode-escape") as posts:
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comments_json = json.loads(convert_encoding_meta(posts.read()))
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#%% In[ ]:
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facebook_comments = []
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for comment in comments_json['comments_v2']:
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if comment.get('data'):
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for data_item in comment['data']:
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if data_item.get('comment'):
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comment = data_item['comment']
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facebook_comments.append({"network": "Facebook",
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"type": "comments",
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"index": "rs_facebook_comments_and_reactions",
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"chemin": fb_data_path[0],
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"texte": comment["comment"],
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"creation_timestamp": comment["timestamp"]})
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#%% In[ ]:
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facebook_comments_df = pd.DataFrame(facebook_comments)
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#%% In[ ]:
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documents_to_database(facebook_comments_df)
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