agent0.chainsync.dashboard.build_ticker
Builds the ticker for the dashboard.
Functions
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Builds the ticker dataframe for the pool page. |
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Builds the ticker dataframe for the wallet page. |
Module Contents
- agent0.chainsync.dashboard.build_ticker.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.
- Parameters:
trade_events (pd.DataFrame) – The dataframe resulting from get_trade_events.
user_map (pd.DataFrame) – A dataframe containing the mapping of wallet addresses to usernames.
block_to_timestamp (pd.DataFrame) – A dataframe containing the mapping of block number to timestamp.
- Returns:
The filtered transaction data based on what we want to view in the ticker for a specific pool.
- Return type:
pd.DataFrame
- agent0.chainsync.dashboard.build_ticker.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.
- Parameters:
trade_events (pd.DataFrame) – The dataframe resulting from get_trade_events.
user_map (pd.DataFrame) – A dataframe containing the mapping of wallet addresses to usernames.
hyperdrive_addr_map (pd.DataFrame) – A dataframe containing the mapping of hyperdrive addresses to hyperdrive names.
block_to_timestamp (pd.DataFrame) – A dataframe containing the mapping of block number to timestamp.
- Returns:
The filtered transaction data based on what we want to view in the ticker for a specific wallet.
- Return type:
pd.DataFrame