OpenBB-finance/OpenBB · warning · EmptyDataError

No data was found for, {query.country}.

Error message

No data was found for, {query.country}.

What it means

Raised by FredBalanceOfPaymentsFetch.transform_data when the fetched dict is empty for the requested country. The BOP fetcher maps query.country through BOP_COUNTRIES to a set of FRED series IDs; an empty payload means FRED returned no observations for any series of that country.

Source

Thrown at openbb_platform/providers/fred/openbb_fred/models/balance_of_payments.py:109

        country = BOP_COUNTRIES.get(query.country) if query.country else "USA"
        query_dict = query.model_dump(exclude_none=True)
        query_dict["symbol"] = ",".join(list(get_bop_series(country).values()))
        fred_query = FredSeriesQueryParams(**query_dict)
        data = await fred_fetcher.aextract_data(fred_query, credentials)
        return data

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

        if not data:
            raise EmptyDataError(f"No data was found for, {query.country}.")
        fred_fetcher = FredSeriesFetcher()
        country = BOP_COUNTRIES.get(query.country) if query.country else "USA"
        query_dict = query.model_dump(exclude_none=True)
        query_dict["symbol"] = ",".join(list(get_bop_series(country).values()))
        fred_query = FredSeriesQueryParams(**query_dict)
        data = fred_fetcher.transform_data(fred_query, data)
        series_ids = get_bop_series(country)
        col_map = {v: k for k, v in series_ids.items()}
        result = data.result  # type: ignore
        df = (
            DataFrame([d.model_dump() for d in result])
            .set_index("date")
            .sort_index(ascending=False)
        )
        df = df.rename(columns=col_map)
        records = df.reset_index().fillna("N/A").replace("N/A", None).to_dict("records")

        return AnnotatedResult(

View on GitHub (pinned to 3e071fcc2c)

Solutions

1. Use a country present in the BOP_COUNTRIES mapping of the module (e.g. 'united_states' or its listed peers) - read the module's constant if unsure
2. Widen the date range to span several quarters - the data is quarterly with long publication lags
3. Check the underlying FRED series pages for that country to confirm coverage
4. Fall back to another provider for balance-of-payments data

from openbb_fred.models.balance_of_payments import BOP_COUNTRIES
assert not query.country or query.country in BOP_COUNTRIES, f'use one of {list(BOP_COUNTRIES)}'

def is_supported_bop_country(country: str | None, supported: dict) -> bool:
    return country is None or country in supported

from openbb_core.provider.utils.errors import EmptyDataError
try:
    rows = await obb.economy.balance_of_payments(provider='fred', country=c).await_to_list()
except EmptyDataError:
    rows = []

When it happens

Trigger: Passing a country whose BOP series FRED does not carry (the valid set is limited to entries in BOP_COUNTRIES, defaulting to USA), or a date range where that country's quarterly BOP series has no observations.

Common situations: Requesting countries outside the supported list; querying very recent quarters before FRED publishes BOP data (multi-quarter lag); date windows falling entirely between quarterly observations.

Related errors

• The request was returned with no data.
• The request was returned empty.
• No data found for the given query. Try adjusting the paramet
• The request was returned empty.
• No tables were found for the release, {query.release_id}. Us

AI-assisted analysis of OpenBB-finance/OpenBB@3e071fcc2c (2026-08-14). Data as JSON: /api/errors/2a15cd267b0c15af. Report an issue: GitHub.