fix: extract full text from note_tweet for long tweets (fixes #20)

Twitter long tweets (>280 chars) store full text in
note_tweet.note_tweet_results.result.text rather than legacy.full_text.
The parser now prioritizes note_tweet text when available.

tests/fixtures/home_timeline.json

@@ -61,6 +61,13 @@
                             ]
                           }
                         },
+                        "note_tweet": {
+                          "note_tweet_results": {
+                            "result": {
+                              "text": "Hello\nworld\n\nThis is the full text of a long tweet that goes beyond the 280 character limit and contains additional content that would be hidden behind Show More in the Twitter UI."
+                            }
+                          }
+                        },
                         "views": {
                           "count": "1234"
                         }

tests/test_parser_fixtures.py

@@ -26,6 +26,9 @@ def test_parse_home_timeline_fixture(fixture_loader) -> None:
     assert [tweet.id for tweet in tweets] == ["1", "20"]
     assert cursor == "cursor-bottom-1"
     assert tweets[0].media[0].type == "photo"
+    # note_tweet full text should be preferred over legacy.full_text for long tweets
+    assert "Show More" in tweets[0].text
+    assert tweets[0].text.startswith("Hello\nworld\n")
     assert tweets[0].urls == ["https://example.com/post"]
     assert tweets[1].is_retweet is True
     assert tweets[1].retweeted_by == "bob"

twitter_cli/parser.py

@@ -246,9 +246,12 @@ def parse_tweet_result(result, depth=0):
     if is_retweet:
         retweeted_by = user_core.get("screen_name") or user_legacy.get("screen_name", "unknown")
 
+    # Prefer note_tweet full text for long tweets ("Show More")
+    note_text = _deep_get(actual_data, "note_tweet", "note_tweet_results", "result", "text")
+
     return Tweet(
         id=actual_data.get("rest_id", ""),
-        text=actual_legacy.get("full_text", ""),
+        text=note_text or actual_legacy.get("full_text", ""),
         author=author,
         metrics=Metrics(
             likes=_parse_int(actual_legacy.get("favorite_count"), 0),