agent0.chainsync.dashboard.build_ticker
=======================================

.. py:module:: agent0.chainsync.dashboard.build_ticker

.. autoapi-nested-parse::

   Builds the ticker for the dashboard.

   ..
       !! processed by numpydoc !!


Functions
---------

.. autoapisummary::

   agent0.chainsync.dashboard.build_ticker.build_ticker_for_pool_page
   agent0.chainsync.dashboard.build_ticker.build_ticker_for_wallet_page


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

.. py:function:: build_ticker_for_pool_page(trade_events: pandas.DataFrame, user_map: pandas.DataFrame, block_to_timestamp: pandas.DataFrame) -> pandas.DataFrame

   
   Builds the ticker dataframe for the pool page.

   :param trade_events: The dataframe resulting from `get_trade_events`.
   :type trade_events: pd.DataFrame
   :param user_map: A dataframe containing the mapping of wallet addresses to usernames.
   :type user_map: pd.DataFrame
   :param block_to_timestamp: A dataframe containing the mapping of block number to timestamp.
   :type block_to_timestamp: pd.DataFrame

   :returns: The filtered transaction data based on what we want to view in the ticker for a specific pool.
   :rtype: pd.DataFrame















   ..
       !! processed by numpydoc !!

.. py:function:: build_ticker_for_wallet_page(trade_events: pandas.DataFrame, user_map: pandas.DataFrame, hyperdrive_addr_map: pandas.DataFrame, block_to_timestamp: pandas.DataFrame) -> pandas.DataFrame

   
   Builds the ticker dataframe for the wallet page.

   :param trade_events: The dataframe resulting from `get_trade_events`.
   :type trade_events: pd.DataFrame
   :param user_map: A dataframe containing the mapping of wallet addresses to usernames.
   :type user_map: pd.DataFrame
   :param hyperdrive_addr_map: A dataframe containing the mapping of hyperdrive addresses to hyperdrive names.
   :type hyperdrive_addr_map: pd.DataFrame
   :param block_to_timestamp: A dataframe containing the mapping of block number to timestamp.
   :type block_to_timestamp: pd.DataFrame

   :returns: The filtered transaction data based on what we want to view in the ticker for a specific wallet.
   :rtype: pd.DataFrame















   ..
       !! processed by numpydoc !!