defillama_wrangler
==================

.. py:module:: defillama_wrangler


Attributes
----------

.. autoapisummary::

   defillama_wrangler.logger


Classes
-------

.. autoapisummary::

   defillama_wrangler.DefiLlamaWrangler


Module Contents
---------------

.. py:data:: logger

.. py:class:: DefiLlamaWrangler(data_req, data_resp)

   Bases: :py:obj:`cryptodatapy.transform.wranglers.base_wrangler.BaseDataWrangler`


   Handles DefiLlama API specific data wrangling for both time series data
   and metadata (info) responses. Inherits common data processing from
   BaseDataWrangler.


   .. py:method:: wrangle_chains_info(remove_missing: Optional[list] = None, as_list: bool = False) -> Union[pandas.DataFrame, list]

      Wrangles DefiLlama chains info.

      :param remove_missing: List of columns to check for missing values to remove rows.
      :type remove_missing: Optional[list]
      :param as_list: If True, returns a list of chain names instead of DataFrame.
      :type as_list: bool

      :returns: Wrangled DataFrame or list of chain names.
      :rtype: Union[pd.DataFrame, list]



   .. py:method:: wrangle_protocols_info(remove_missing: Optional[list] = None, as_list: bool = False) -> Union[pandas.DataFrame, list]

      Wrangles DefiLlama protocols info.

      :param remove_missing: List of columns to check for missing values to remove rows.
      :type remove_missing: Optional[list]
      :param as_list: If True, returns a list of chain names instead of DataFrame.
      :type as_list: bool

      :returns: Wrangled DataFrame or list of chain names.
      :rtype: Union[pd.DataFrame, list]



   .. py:method:: wrangle_fees_info(remove_missing: Optional[list] = None, as_list: bool = False) -> Union[pandas.DataFrame, list]

      Wrangles DefiLlama fees info.

      :param remove_missing: List of columns to check for missing values to remove rows.
      :type remove_missing: Optional[list]
      :param as_list: If True, returns a list of protocol names instead of DataFrame.
      :type as_list: bool

      :returns: Wrangled DataFrame or list of protocol names.
      :rtype: Union[pd.DataFrame, list]



   .. py:method:: wrangle_stablecoins_info(remove_missing: Optional[list] = None, as_list: bool = False) -> Union[pandas.DataFrame, list]

      Wrangles DefiLlama stablecoins info.

      :param remove_missing: List of columns to check for missing values to remove rows.
      :type remove_missing: Optional[list]
      :param as_list: If True, returns a list of stablecoin names instead of DataFrame.
      :type as_list: bool

      :returns: Wrangled DataFrame or list of stablecoin names.
      :rtype: Union[pd.DataFrame, list]



   .. py:method:: wrangle_yields_info() -> Union[pandas.DataFrame, list]

      Wrangle DefiLlama yields info.

      :returns: Wrangled DataFrame of yields info.
      :rtype: Union[pd.DataFrame, list]



   .. py:method:: _process_single_timeseries(raw_resp: Dict[str, Any]) -> pandas.DataFrame

      Converts a single raw API response (dict) into a clean DataFrame
      with appropriate index and metadata columns.

      :param raw_resp: Raw response dictionary containing 'metadata' and 'data' keys.
      :type raw_resp: Dict[str, Any]

      :returns: Processed DataFrame for the single time series.
      :rtype: pd.DataFrame



   .. py:method:: wrangle_time_series() -> pandas.DataFrame

      Processes the list of raw time series data responses and consolidates them
      into a single, tidy, multi-index DataFrame.

      :returns: Consolidated DataFrame of all time series data.
      :rtype: pd.DataFrame



   .. py:method:: wrangle() -> pandas.DataFrame

      Orchestrates the transformation of DefiLlama time series data.

      :returns: Wrangled dataframe into tidy data format.
      :rtype: pd.DataFrame