Finish and use this
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#!/usr/bin/env python3
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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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def main():
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with open("/home/jas/downloads/outbox.json", "r") as jf:
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with open("/home/jas/downloads/mastodon-archive/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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print("#+TITLE: Mastodon posts archive from 2024-02-16 to 2025-01-31")
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print("#+DATE: 2025-02-02")
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print("#+TAGS[]: mastodon archives")
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print("#+AUTHOR: hyperreal")
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print("#+SLUG: mastodon_archive-20240216-20250131")
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print("#+LAYOUT: post")
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print()
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for item in flattened_df.iterrows():
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print(f"*** {item[1]["object.published"]}")
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if type(item[1]["object.content"]) is str:
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print("#+BEGIN_QUOTE")
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for item in sorted(
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json_data["orderedItems"], key=json_data["orderedItems"].index, reverse=True
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):
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if type(item.get("object")) is dict:
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published = item.get("object").get("published")
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content = item.get("object").get("content")
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attachment = (
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item.get("object").get("attachment")[0]
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if len(item.get("object").get("attachment")) >= 1
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else None
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)
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print(f"** {published}")
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print("#+BEGIN_EXPORT html")
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print(unescape(item[1]["object.content"]))
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if type(content) is str:
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print(unescape(content))
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print("#+END_EXPORT")
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if item[1]["object.attachment"]:
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if type(item[1]["object.attachment"]) is list:
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for i in item[1]["object.attachment"]:
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if attachment:
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if attachment.get("name"):
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print(f"#+CAPTION: {attachment.get('name')}")
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print(
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f"[[https://files.hyperreal.coffee/mastodon_20240216-20250131/{attachment.get('url')}]]"
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)
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print("-----")
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print()
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if __name__ == "__main__":
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