agent0.chainsync.dashboard.build_leaderboard

Builds the leaderboard for the dashboard.

Functions

`build_total_leaderboard`(→ pandas.DataFrame)	Takes the position snapshot and aggregates pnl across all pools and positions,
`build_per_pool_leaderboard`(→ pandas.DataFrame)	Takes the position snapshot and aggregates pnl across positions in individual pools,

Module Contents

agent0.chainsync.dashboard.build_leaderboard.build_total_leaderboard(position_snapshot: pandas.DataFrame, user_map: pandas.DataFrame) → pandas.DataFrame

Takes the position snapshot and aggregates pnl across all pools and positions, then ranks to show the leaderboard.

Parameters:

position_snapshot (pd.DataFrame) – The dataframe resulting from get_position_snapshot that contains the latest positions.
user_map (pd.DataFrame) – A dataframe with 4 columns (address, abbr_address, username, format_name). This is the output of chainsync.dashboard.build_user_mapping().

Returns:

The user-combined and individual wallet leaderboard dataframes.

Return type:

tuple[pd.DataFrame, pd.DataFrame]

agent0.chainsync.dashboard.build_leaderboard.build_per_pool_leaderboard(position_snapshot: pandas.DataFrame, user_map: pandas.DataFrame, hyperdrive_addr_map: pandas.DataFrame) → pandas.DataFrame

Takes the position snapshot and aggregates pnl across positions in individual pools, then ranks to show the leaderboard.

Parameters:

position_snapshot (pd.DataFrame) – The dataframe resulting from get_position_snapshot that contains the latest positions.
user_map (pd.DataFrame) – A dataframe containing the wallet address to name mapping.
hyperdrive_addr_map (pd.DataFrame) – A dataframe containing the hyperdrive address to name mapping.

Returns:

The user-combined and individual wallet leaderboard dataframes.

Return type:

tuple[pd.DataFrame, pd.DataFrame]