dataretrieval.exceptions
Exception taxonomy for dataretrieval.
Every service module (nwis, wqp, nldi, waterdata,
streamstats) raises a subclass of DataRetrievalError when a request
fails, so one except dataretrieval.DataRetrievalError catches them all. That
includes connection-level failures (timeouts, DNS, refused connections), which
remain inside this taxonomy rather than leaking httpx exceptions. A
deterministic failure is NetworkError; a recoverable failure that
exhausts retries during fan-out is a resumable ServiceInterrupted.
Most failures are an HTTPError carrying the response .status_code,
of which TransientError (429 / 5xx) is the retryable subset. The rest
aren’t a plain status: RequestTooLarge (with URLTooLong /
Unchunkable), NetworkError (a failed connection, per above),
NoSitesError, and ConfigurationError for an unusable setting.
error_for_status() maps a status to its type.
This module has no third-party runtime dependencies – httpx is imported only
for type checking. Any module can therefore import it without pulling in pandas
or httpx, and without risking an import cycle.
- exception dataretrieval.exceptions.ConfigurationError[source]
Bases:
DataRetrievalError,ValueErrorA
dataretrievalsetting holds a value that can’t be used.The setting may be an environment variable or a policy field; either way, no request was issued.
It is a
DataRetrievalErrorsoexceptaround a retrieval catches it rather than letting a bareValueErrorescape a request path, and aValueErrorso code that already treats a bad setting as one keeps working.
- exception dataretrieval.exceptions.DataRetrievalError[source]
Bases:
ExceptionBase class for every failed-request error in
dataretrieval.Catch it to handle any USGS or EPA service failure uniformly, and branch on the read-anywhere fields below without needing the concrete subclass:
try: df, md = dataretrieval.waterdata.get_daily(...) except dataretrieval.DataRetrievalError as e: if e.retryable: # 429 / 5xx / connection failure time.sleep(e.retry_after or backoff) ... # re-issue the request elif e.status_code == 404: # ``None`` unless an HTTP status error ... else: raise
Connection-level failures (timeouts, DNS) remain subclasses of this base:
NetworkErrorwhen deterministic, or a resumableServiceInterruptedwhen recoverable fan-out retries are exhausted.- retry_after: float | None = None
Seconds the server asked us to wait before retrying (its
Retry-Afterheader), orNonewhen it gave no hint. Set byTransientError.
- retryable: ClassVar[bool] = False
Whether re-issuing the same request might succeed –
Truefor the transient HTTP statuses (429 / 5xx,TransientError) and for connection failures (NetworkError);Falseotherwise.
- exception dataretrieval.exceptions.HTTPError(message: str, *, status_code: int)[source]
Bases:
DataRetrievalErrorThe service returned an error HTTP status.
The numeric status is on
status_code; branch on it, e.g.except HTTPError as e: ... if e.status_code == 404.TransientError(429 / 5xx) is the retryable subset, and is itself anHTTPError. The one exception to “a status is anHTTPError” is a request the service rejects as too long: it surfaces asURLTooLong(aRequestTooLarge), not anHTTPError. CatchDataRetrievalErrorto be certain of spanning every failure. Seeerror_for_status()for the full mapping.- Parameters:
message (str) – Human-readable error message.
status_code (int) – The HTTP status the service returned.
- exception dataretrieval.exceptions.NetworkError[source]
Bases:
DataRetrievalErrorThe request never completed a round-trip to the service.
A DNS failure, refused connection, or timeout stopped it, so no HTTP response arrived to classify.
Wraps the underlying
httpxtransport exception, preserved on__cause__. Worth retrying (retryableisTrue), but carries no.status_codebecause no response came back.- retryable: ClassVar[bool] = True
Whether re-issuing the same request might succeed –
Truefor the transient HTTP statuses (429 / 5xx,TransientError) and for connection failures (NetworkError);Falseotherwise.
- exception dataretrieval.exceptions.NoSitesError(url: httpx.URL)[source]
Bases:
DataRetrievalErrorA request succeeded (HTTP 200) but matched no sites/data.
A no-data result is normally not an error: the modern getters (
waterdata,wqp,nldi) return an emptyDataFrame. Only the deprecatednwis(waterservices) path still raises this.
- exception dataretrieval.exceptions.RateLimited(message: str, *, status_code: int | None = None, retry_after: float | None = None)[source]
Bases:
TransientErrorA request was rejected with HTTP 429 (too many requests).
- _DEFAULT_STATUS: ClassVar[int] = 429
Canonical status a concrete transient stamps when built without an explicit
status_code(RateLimited= 429,ServiceUnavailable= 503).TransientErroritself is abstract and sets none, so constructing it bare requiresstatus_code.
- exception dataretrieval.exceptions.RequestTooLarge[source]
Bases:
DataRetrievalErrorThe request is too large for the service to satisfy.
Base for the two ways that happens; catch it to handle either:
URLTooLong(a single request rejected for length) andUnchunkable(a Water Data call the chunker could not split small enough to fit).
Bases:
TransientErrorA request was rejected with a server error (HTTP 5xx).
Raised by both the legacy
querypath and the Water Data path, so a 5xx surfaces as one type whichever subsystem issued the request..status_codeholds the actual 5xx; it falls back to 503 only on a bare hand-construction.Canonical status a concrete transient stamps when built without an explicit
status_code(RateLimited= 429,ServiceUnavailable= 503).TransientErroritself is abstract and sets none, so constructing it bare requiresstatus_code.
- exception dataretrieval.exceptions.TransientError(message: str, *, status_code: int | None = None, retry_after: float | None = None)[source]
Bases:
HTTPErrorA 429 or 5xx the server may serve on a later try.
RateLimitedcovers 429 andServiceUnavailablecovers 5xx.This only classifies the condition; it does not itself retry. Whether to retry is up to the calling path: a single-shot request raises it for the caller to handle (e.g. wait
retry_afterseconds, then re-issue), while the Water Data chunker retries and resumes automatically.- Parameters:
message (str) – Human-readable error message.
status_code (int, optional) – The HTTP status the service returned. Defaults to the leaf’s canonical code (429 / 503) when omitted;
error_for_status()always passes the real status.retry_after (float, optional) – Seconds to wait before retrying, parsed from the
Retry-Afterresponse header;Nonewhen the header is absent or unparseable.
- _DEFAULT_STATUS: ClassVar[int]
Canonical status a concrete transient stamps when built without an explicit
status_code(RateLimited= 429,ServiceUnavailable= 503).TransientErroritself is abstract and sets none, so constructing it bare requiresstatus_code.
- retryable: ClassVar[bool] = True
Whether re-issuing the same request might succeed –
Truefor the transient HTTP statuses (429 / 5xx,TransientError) and for connection failures (NetworkError);Falseotherwise.
- exception dataretrieval.exceptions.URLTooLong[source]
Bases:
RequestTooLargeA single request URL was too long for the service.
Raised on the legacy
querypath (which sends one un-chunked request), whether the URL is rejected client-side before sending or by the server (seeerror_for_status()). Remediation: query fewer sites, or split the call manually.
- exception dataretrieval.exceptions.Unchunkable[source]
Bases:
RequestTooLargeNo chunking plan fits the URL byte limit.
Raised by the Water Data chunker when even the smallest reducible plan (every list axis at one atom per chunk, the filter at one clause per chunk) still exceeds the server’s byte limit. Unlike
URLTooLong, then, automatic splitting has already been tried and exhausted. Shrink the input lists, simplify the filter, or split the call manually.
- dataretrieval.exceptions.error_for_status(status: int, message: str, *, retry_after: float | None = None) DataRetrievalError[source]
Return the typed
DataRetrievalErrorfor an HTTP error status.The one status-to-type mapping every request path shares (the legacy
querypath,waterdata,streamstats), so a given status becomes the same type everywhere:413, 414 ->
URLTooLong(aRequestTooLarge) – the “too long” semantic is more actionable than a bare status, and it matches the client-side over-long-URL case429 ->
RateLimited5xx ->
ServiceUnavailableanything else ->
HTTPError
messageis used verbatim;retry_afteris attached only to the transient (TransientError) types. status must be an error status (>= 400) – classifying a success or redirect is a usage error and raisesValueError.
- dataretrieval.exceptions.parse_retry_after(value: str | None) float | None[source]
Parse a
Retry-Afterheader into seconds, orNonefor no usable hint.Both header forms mean the same thing and are treated the same way: the seconds are returned as given, however large. A value past what a caller will wait out inline stops the retry and surfaces a transient carrying the hint on
.retry_after, so a long wait becomes the caller’s decision (and, for a chunked call, a resumable interruption) instead of being ignored.An over-long hint is honored rather than discarded. Dropping it would make the client retry harder against a service that just asked for a long pause, and would deny the caller the number it needs on
.retry_after. Clock skew can inflate a date-form hint, but trusting one costs a recoverable escalation while ignoring it costs hammering a service that is already asking for room.A date that has already passed yields no hint at all rather than
0.0. Read literally it says “retry now”, but the likelier reading is that our clock runs ahead of the server’s – and acting on it would re-send almost immediately against a service that just asked for a pause. Falling back to our own bounded backoff is right under either reading. (Delta-seconds is clock-independent, so a literalRetry-After: 0is still honored as the instruction it is, floored bybackoff()’s jitter.)
Resumable fan-out interruptions
These are raised when a fanned-out request is interrupted mid-stream; the
completed work is preserved and exc.call.resume() continues it. They are
defined in dataretrieval.interruptions (they carry pandas/httpx state) but
are importable from the top level, e.g.
from dataretrieval import FanOutInterrupted.
ChunkInterrupted is a permanent alias of FanOutInterrupted – the same
class object under the name it was first published as – so except
ChunkInterrupted and except FanOutInterrupted are the same handler. The
base class is named for the fan-out rather than for chunking because a Water Use
call fans out without dividing anything: the NWDC simply accepts one location
per request.
- class dataretrieval.FanOutInterrupted(*, completed_chunks: int, total_chunks: int, call: FanOut[Any] | None = None, retry_after: float | None = None, cause: BaseException | None = None)[source]
Bases:
DataRetrievalErrorBase class for mid-stream chunk failures whose completed work is preserved and resumable.
A
FanOutInterruptedsubclass means: a chunk failed, butFanOutstill owns whatever completed successfully before the failure. Callself.call.resume()to pick up where the failure stopped you — only still-pending chunks are re-issued.Subclasses describe why
FanOutstopped so callers can pick a retry policy:QuotaExhaustedfor 429 (wait for the rate-limit window),ServiceInterruptedfor 5xx (wait for the upstream to recover). The.callhandle is the same object across every interruption of a single fanned-out call — frames accumulate across retries.- call
Resumable handle into the
FanOutthat raised this exception.Noneonly on hand-constructed exceptions (test fixtures), where.call-derived accessors degrade to empty/None.- Type:
FanOut or None
- retry_after
Seconds the server suggested waiting (
Retry-Afterheader).Nonewhen the server gave no hint.- Type:
float or None
- completed_chunks
Number of chunks successfully completed before the failure.
- Type:
int
- total_chunks
Total chunks in the plan.
- Type:
int
- partial_frame
Combined frame of work completed by the moment this exception was raised. Snapshot at raise time — does NOT advance on a later
call.resume()(useexc.call.partial_framefor the live view).- Type:
pandas.DataFrame
- partial_response
Raw aggregate response covering the completed chunks at raise time;
Noneif nothing had completed yet. Same snapshot semantics aspartial_frame. (Raw, not finalized — useexc.call.resume()for the finalized(df, metadata)result.)- Type:
httpx.Response or None
Examples
Retry on any transient interruption, honoring the server’s
Retry-Afterhint when present and falling back to a fixed wait otherwise. Each new interruption keeps the already-completed work intact — only the still-pending chunks are re-issued.import time from dataretrieval import ChunkInterrupted # ``getter`` is any chunked OGC getter — e.g. # ``waterdata.get_daily`` or ``ngwmn.get_water_level``. try: df, md = getter(monitoring_location_id=long_list_of_sites) except ChunkInterrupted as exc: while True: time.sleep(exc.retry_after or 5 * 60) try: df, md = exc.call.resume() break except ChunkInterrupted as next_exc: exc = next_exc
- retryable: ClassVar[bool] = True
Whether re-issuing the same request might succeed –
Truefor the transient HTTP statuses (429 / 5xx,TransientError) and for connection failures (NetworkError);Falseotherwise.
- class dataretrieval.QuotaExhausted(*, completed_chunks: int, total_chunks: int, call: FanOut[Any] | None = None, retry_after: float | None = None, cause: BaseException | None = None)[source]
Bases:
FanOutInterruptedA chunk returned HTTP 429 — the per-key rate-limit window is exhausted. Subclass of
FanOutInterrupted.The completed chunks are preserved on
.call; once the rate-limit window resets,.call.resume()re-issues only the still-pending work.partial_frameholds what completed before the 429.
- class dataretrieval.ServiceInterrupted(*, completed_chunks: int, total_chunks: int, call: FanOut[Any] | None = None, retry_after: float | None = None, cause: BaseException | None = None)[source]
Bases:
FanOutInterruptedA chunk returned HTTP 5xx — the upstream service failed transiently. Subclass of
FanOutInterrupted.The completed chunks are preserved on
.call; once the upstream recovers,.call.resume()resumes only the still-pending work.