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style: apply ruff-format to core.py #133

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Merged
mplatzer merged 1 commit into from
Apr 30, 2026
Merged

style: apply ruff-format to core.py #133

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18 changes: 8 additions & 10 deletions mostlyai/mock/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -251,7 +251,7 @@ async def _sample_table(
llm_config: LLMConfig,
config: MockConfig,
progress_callback: Callable[..., Awaitable[None]] | None = None,
batch_size = None,
batch_size=None,
) -> pd.DataFrame:
# provide a default progress callback if none is provided
if progress_callback is None:
Expand Down Expand Up @@ -446,7 +446,6 @@ def _create_table_prompt(
if n_rows is not None:
prompt += f"Number of data rows to {verb}: `{n_rows}`.\n\n"


if target_primary_key is not None:
prompt += f"Add prefix to all values of Target Table Primary Key. The prefix is 'B{batch_idx}-'."
prompt += " There is one exception: if primary keys are in existing data, don't add prefix to them."
Expand Down Expand Up @@ -828,9 +827,8 @@ async def _create_table_rows_generator(
n_workers: int,
llm_config: LLMConfig,
progress_callback: Callable[..., Awaitable[None]] | None = None,
batch_size: int | None = 20, # generate 20 root table rows at a time
batch_size: int | None = 20, # generate 20 root table rows at a time
) -> AsyncGenerator[dict]:

def supports_structured_outputs(model: str) -> bool:
model = model.removeprefix("litellm_proxy/")
supported_params = litellm.get_supported_openai_params(model=model) or []
Expand Down Expand Up @@ -1266,7 +1264,7 @@ async def _sample_common(
n_workers: int = 10,
return_type: Literal["auto", "dict"] = "auto",
progress_callback: Callable[..., Awaitable[None]] | None = None,
batch_size: int | None = None
batch_size: int | None = None,
):
tables: dict[str, TableConfig] = _harmonize_tables(tables, existing_data)
config = MockConfig(tables)
Expand Down Expand Up @@ -1302,7 +1300,7 @@ async def _sample_common(
llm_config=llm_config,
config=config,
progress_callback=progress_callback,
batch_size=batch_size
batch_size=batch_size,
)
data[table_name] = df

Expand All @@ -1327,7 +1325,7 @@ def sample(
n_workers: int = 10,
return_type: Literal["auto", "dict"] = "auto",
progress_callback: Callable[..., Awaitable[None]] | None = None,
batch_size: int | None = None
batch_size: int | None = None,
) -> pd.DataFrame | dict[str, pd.DataFrame]:
"""
Generate synthetic data from scratch or enrich existing data with new columns.
Expand Down Expand Up @@ -1617,7 +1615,7 @@ def sample_common_sync(*args, **kwargs) -> pd.DataFrame | dict[str, pd.DataFrame
n_workers=n_workers,
return_type=return_type,
progress_callback=progress_callback,
batch_size=batch_size
batch_size=batch_size,
)
return future.result()

Expand All @@ -1635,7 +1633,7 @@ async def _asample(
n_workers: int = 10,
return_type: Literal["auto", "dict"] = "auto",
progress_callback: Callable[..., Awaitable[None]] | None = None,
batch_size: int | None = None
batch_size: int | None = None,
) -> pd.DataFrame | dict[str, pd.DataFrame]:
return await _sample_common(
tables=tables,
Expand All @@ -1649,7 +1647,7 @@ async def _asample(
n_workers=n_workers,
return_type=return_type,
progress_callback=progress_callback,
batch_size=batch_size
batch_size=batch_size,
)


Expand Down
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