mirror of
https://github.com/webclinic017/drift.git
synced 2026-07-28 11:17:47 +00:00
Mark Aron Szulyovszky
67 lines
2.3 KiB
Python
67 lines
2.3 KiB
Python
from .utils import *
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class Protocols:
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"""
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Protocols class.
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Methods
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-------
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__init__(glassnode_client):
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Constructs a Protocols object.
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uniswap_transactions():
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Returns the total number of transactions
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that contains an interaction within Uniswap contracts.
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uniswap_liquidity():
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Returns the current liquidity on Uniswap.
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uniswap_volume():
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Returns the total volume traded on Uniswap.
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"""
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def __init__(self, glassnode_client):
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self._gc = glassnode_client
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self._endpoints = self._gc.endpoints
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def uniswap_transactions(self) -> pd.DataFrame:
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"""
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The total number of transactions that contains an interaction within Uniswap contracts.
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Includes Mint, Burn, and Swap events on the Uniswap core contracts.
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`View in Studio <https://studio.glassnode.com/metrics?a=ETH&m=protocols.UniswapTransactionCount>`_
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:return: A DataFrame containing Uniswap transactions data.
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:rtype: DataFrame
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"""
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endpoint = "/v1/metrics/protocols/uniswap_transaction_count"
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def uniswap_liquidity(self) -> pd.DataFrame:
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"""
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The current liquidity on Uniswap.
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`View in Studio <https://studio.glassnode.com/metrics?a=ETH&m=protocols.UniswapLiquidityLatest>`_
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:return: A DataFrame containing Uniswap liquidity data.
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:rtype: DataFrame
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"""
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endpoint = "/v1/metrics/protocols/uniswap_liquidity_latest"
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def uniswap_volume(self) -> pd.DataFrame:
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"""
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The total volume traded on Uniswap.
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`View in Studio <https://studio.glassnode.com/metrics?a=ETH&m=protocols.UniswapVolumeSum>`_
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:return: A DataFrame containing Uniswap volume data.
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:rtype: DataFrame
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"""
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endpoint = "/v1/metrics/protocols/uniswap_volume_sum"
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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