Revert "feat(cli): add Kaggle dataset integration and Croissant metadata parsing"

Author: VinciGit00

tests/test_kaggle.py

@@ -23,32 +23,6 @@ def decode_to_pydantic(*args, **kwargs):
     def generate_structure_from_pydantic(*args, **kwargs):
         raise ImportError("generate_structure_from_pydantic requires pydantic to be installed. Please install pydantic to use this feature.")
 
-# Kaggle integration (optional - requires kaggle installation)
-try:
-    from .kaggle import (
-        download_dataset,
-        find_best_csv,
-        csv_to_records,
-        parse_croissant,
-        croissant_to_summary,
-        is_kaggle_slug,
-    )
-    _KAGGLE_AVAILABLE = True
-except ImportError:
-    _KAGGLE_AVAILABLE = False
-    def download_dataset(*args, **kwargs):
-        raise ImportError("download_dataset requires kaggle to be installed. Please install kaggle to use this feature.")
-    def find_best_csv(*args, **kwargs):
-        raise ImportError("find_best_csv requires kaggle to be installed. Please install kaggle to use this feature.")
-    def csv_to_records(*args, **kwargs):
-        raise ImportError("csv_to_records requires kaggle to be installed. Please install kaggle to use this feature.")
-    def parse_croissant(*args, **kwargs):
-        raise ImportError("parse_croissant requires kaggle to be installed. Please install kaggle to use this feature.")
-    def croissant_to_summary(*args, **kwargs):
-        raise ImportError("croissant_to_summary requires kaggle to be installed. Please install kaggle to use this feature.")
-    def is_kaggle_slug(*args, **kwargs):
-        raise ImportError("is_kaggle_slug requires kaggle to be installed. Please install kaggle to use this feature.")
-
 __version__ = '1.0.0'
 __all__ = [
     'encode',
@@ -57,12 +31,6 @@ def is_kaggle_slug(*args, **kwargs):
     'encode_pydantic',
     'decode_to_pydantic',
     'generate_structure_from_pydantic',
-    'download_dataset',
-    'find_best_csv',
-    'csv_to_records',
-    'parse_croissant',
-    'croissant_to_summary',
-    'is_kaggle_slug',
     'COMMA',
     'TAB',
     'PIPE',