OpenBB-finance/OpenBB · warning · EmptyDataError

There was an error with the request and was returned empty.

Error message

There was an error with the request and was returned empty.

What it means

Raised in FredSurveyOfEconomicConditionsChicagoFetcher.transform_data (openbb_fred/models/survey_of_economic_conditions_chicago.py:136) when the DataFrame built from the extracted records is empty. The survey's series are fetched via FredSeriesFetcher and reshaped wide; an empty frame means the upstream series request returned no observations. An EmptyDataError, usually caused by rate limiting or date ranges outside the survey's coverage.

Solutions

1. Retry after 60 seconds (rate limiting).
2. Widen or clear the date range.
3. Verify the underlying series resolve via fred_series (e.g. the NFMFC/SA news diffusion indices).

from openbb_core.provider.utils.errors import EmptyDataError

try:
    res = obb.economy.fred.survey_of_economic_conditions_chicago(start_date=s, end_date=e)
except EmptyDataError:
    res = obb.economy.fred.survey_of_economic_conditions_chicago()  # full history

When it happens

Trigger: Calling economy/fred survey-of-economic-conditions-chicago while rate limited; start_date/end_date excluding all published observations; the Chicago Fed survey series being unavailable upstream.

Common situations: Scheduled jobs bundling many FRED calls and hitting the per-minute cap; requesting recent months before the survey publishes.

Related errors

• There was an error with the request and it was returned…
• No data found for the given query. Try adjusting the…
• No data found for the item and region combination. You may…
• No data was found for
• No results found for the provided query.

AI-assisted analysis of OpenBB-finance/OpenBB@3e071fcc2c (2026-08-14). Data as JSON: /api/errors/7a44a29a36338c5f. Report an issue: GitHub.

Appendix: source

Thrown at openbb_platform/providers/fred/openbb_fred/models/survey_of_economic_conditions_chicago.py:136

        return {
            "metadata": response.metadata,
            "data": [d.model_dump() for d in response.result],
        }

    @staticmethod
    def transform_data(
        query: FredSurveyOfEconomicConditionsChicagoQueryParams,
        data: dict,
        **kwargs: Any
    ) -> AnnotatedResult[list[FredSurveyOfEconomicConditionsChicagoData]]:
        """Transform data."""
        # pylint: disable=import-outside-toplevel
        from pandas import DataFrame

        df = DataFrame(data["data"])
        metadata = data.get("metadata", {})
        if df.empty:
            raise EmptyDataError(
                "There was an error with the request and was returned empty."
            )
        df = df.set_index("date").sort_index()
        df.columns = [ID_TO_FIELD.get(c, c) for c in df.columns]
        if query.transform in ["pch", "pc1", "pca", "cch", "cca"]:
            df = df / 100
        df = df.reset_index().fillna("N/A").replace("N/A", None)
        records = df.to_dict(orient="records")
        return AnnotatedResult(
            result=[
                FredSurveyOfEconomicConditionsChicagoData.model_validate(d)
                for d in records
            ],
            metadata=metadata,
        )

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