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37 lines
894 B
Python
37 lines
894 B
Python
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#!/usr/bin/env python3
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import pandas as pd
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from pandas import json_normalize
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import json
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from html import unescape
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with open("/home/jas/downloads/outbox.json", "r") as jf:
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json_data = json.load(jf)
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flattened_df = json_normalize(json_data, record_path=["orderedItems"])
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published = []
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for item in flattened_df["object.published"]:
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published.append(item)
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content = []
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for item in flattened_df["object.content"]:
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content.append(item)
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x = zip(published, content)
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print("#+TITLE: Mastodon posts, 2024-02-16T15:48:46Z - 2024-10-11T20:15:03Z")
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print("#+SETUPFILE: ../org-templates/page.org")
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print()
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for item in x:
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if type(item[0]) is str:
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print(f"*** {item[0]}")
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if type(item[1]) is str:
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print("#+BEGIN_QUOTE")
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print("#+BEGIN_EXPORT html")
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print(unescape(item[1]))
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print("#+END_EXPORT")
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print("#+END_QUOTE")
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print()
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