OpenBB-finance/OpenBB · error · OpenBBError

No data found for {query.symbol} for year {query.year} and p

Error message

No data found for {query.symbol} for year {query.year} and period {query.quarter}.

What it means

Raised as OpenBBError (wrapping ValueError) by FMPEarningsCallTranscript.transform_data when the dict passed from a_url is falsy. This is a defensive backstop: normally a_url already fails at error 407, so hitting 408 means the fetch returned something empty/None that slipped through.

Source

Thrown at openbb_platform/providers/fmp/openbb_fmp/models/earnings_call_transcript.py:150

            "https://financialmodelingprep.com/stable/earning-call-transcript?symbol="
            + f"{query.symbol.upper()}&year={year}&quarter={quarter}&apikey={api_key}"
        )

        try:
            return await get_data_one(url, **kwargs)
        except ValueError as e:
            raise OpenBBError(
                f"No transcript found for {query.symbol} in {year} Q{quarter}"
                f". \n Latest available transcript is {df_dates.iloc[0].fiscalYear} Q{df_dates.iloc[0].quarter}."
            ) from e

    @staticmethod
    def transform_data(
        query: FMPEarningsCallTranscriptQueryParams, data: dict, **kwargs: Any
    ) -> FMPEarningsCallTranscriptData:
        """Return the transformed data."""
        if not data:
            raise OpenBBError(
                ValueError(
                    f"No data found for {query.symbol} for year {query.year} and period {query.quarter}."
                )
            )
        transcript = data.get("content", "")

        output_lines: list = []
        intro_lines = f"""
## {data.get("symbol")} - {data.get("year")} {data.get("period")} Earnings Call Transcript - {data.get("date")}
\n\n
"""
        output_lines.append(intro_lines + "\n\n")
        for line in transcript.splitlines():
            section_title = line.split(":", 1)[0] if ":" in line else ""
            section_line = line.split(":", 1)[1] if ":" in line else ""
            if section_title and section_line:
                output_lines.append(f"### **{section_title.strip()}**:" + "\n\n")
                output_lines.append(section_line.strip() + "\n\n")

View on GitHub (pinned to 3e071fcc2c)

Solutions

Re-run the exact call - if reproducible, inspect the raw FMP URL for that symbol/year/quarter to see the payload shape
Update the openbb_fmp package (pip install -U openbb-fmp) in case FMP changed its response contract and the provider was patched
If writing tests/mocks, ensure the stubbed response includes a non-empty dict with 'content'
Catch OpenBBError and surface the symbol/year/quarter context to the user

Example fix

# before (mock returns empty)
mock_fetch.return_value = {}

# after
mock_fetch.return_value = {"symbol": "AAPL", "year": 2025, "period": "Q2", "date": "2025-05-01", "content": "..."}

Defensive patterns

Strategy: try-catch

Validate before calling

null

Type guard

def is_transcript_payload(d: dict) -> bool:
    return bool(d) and isinstance(d.get('content'), str) and len(d['content']) > 0

Try / catch

from openbb_core.provider.utils.errors import OpenBBError
try:
    t = await obb.equity.earnings_transcript.async_(symbol=sym, provider='fmp')
except OpenBBError as e:
    if 'No data found for' in str(e):
        log.warning('Empty transcript payload for %s; upstream shape change?', sym)
    raise

Prevention

Pin and update the openbb-fmp package when FMP revises response shapes
In tests, stub transcript fetches with realistic non-empty dicts
Retry once on empty-payload errors; usually transient

When it happens

Trigger: Calling earnings_transcript and receiving an empty dict from the fetch layer - e.g. FMP returned a 200 with an empty object, or a pipeline/mocking layer injected empty data between fetch and transform.

Common situations: Edge-case upstream payloads (200 with empty body), unit tests stubbing the fetch with {}, or changes in FMP response shape after an API revision.

Related errors

AI-assisted analysis of OpenBB-finance/OpenBB@3e071fcc2c (2026-08-14). Data as JSON: /api/errors/e2031603139b0140. Report an issue: GitHub.