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Use large cluster for slippage execution #321

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Use large cluster for slippage execution #321

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60e2af7
use large cluster for slippage query execution
bh2smith Jul 25, 2023
fb363c6
had the config in the wrong place
bh2smith Jul 25, 2023
dc755b8
Update src/fetch/dune.py
bh2smith Jul 25, 2023
50e15a7
Merge branch 'main' into large-cluster
fhenneke Aug 15, 2024
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10 changes: 8 additions & 2 deletions src/fetch/dune.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,12 +49,17 @@ def _parameterized_query(
return query_data.with_params(params)

def _get_query_results(
self, query: Query, job_id: Optional[str] = None
self,
query: Query,
job_id: Optional[str] = None,
performance: str = "medium",
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In my opinion since this is business critical we should be defaulting to large. What do you think?

Suggested change
performance: str = "medium",
performance: str = "large",

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Yes I like it. In that case we can set the default performance when instantiating the client. I'll move the parameter to the appropriate place.

) -> list[dict[str, str]]:
"""Internally every dune query execution is routed through here."""
log.info(f"Fetching {query.name} from query: {query}")
if not job_id:
exec_result = self.dune.refresh(query, ping_frequency=15)
exec_result = self.dune.refresh(
query, performance=performance, ping_frequency=15
)
else:
exec_result = self.dune.get_result(job_id)

Expand Down Expand Up @@ -121,4 +126,5 @@ def get_period_slippage(self, job_id: Optional[str] = None) -> list[DuneRecord]:
],
),
job_id,
performance="large",
)
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