The documented `log_base` range accepts 1.0, but the resolver silently replaces it with 2.6
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Evaluación
- Dificultad
- 3/5
- Tiempo estimado
- 1-2 días
- Aptitud para principiantes
- 76/100
Línea de trabajo
Read astrbot/core/config/default.py at the log_base hint and _resolve_log_base in astrbot/core/pipeline/respond/stage.py to compare the advertised range with the accepted values. Check for existing tests of _resolve_log_base and its use by _calc_comp_interval. Done means the documented range and resolver behavior agree, with a test covering the boundary value.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
The documented log_base range accepts 1.0, but the resolver silently replaces it with 2.6
- Repository:
AstrBotDevs/AstrBot - Target commit:
14835b5011bbc3ffb0a76829df3e272ddeacfafa - File:
astrbot/core/config/default.py:4551-4557,astrbot/core/pipeline/respond/stage.py:17-36
Summary
The UI metadata for platform_settings.segmented_reply.log_base documents the range as
1.0-10.0, so 1.0 is presented to users as a legal value. The pipeline resolver rejects
any base <= 1 and silently substitutes DEFAULT_LOG_BASE = 2.6, so a configured 1.0
never reaches the computation and the reply interval is calculated with a different base
than the user set.
Actual behavior
With interval_method = "log" and log_base = 1.0 (the lowest value the hint allows), the
real resolver logs Unusable segmented-reply log base: 1.0, using the default 2.6 instead.
and RespondStage._calc_comp_interval calls math.log(wc + 1, 2.6); the configured value
is discarded without any indication in the UI.
Observed on the target commit:
documented_hint="对数间隔的底数,默认为 2.6。取值范围为 1.0-10.0。"
configured_log_base=1.0
resolved_log_base=2.6
math_log_base=2.6
1.0 is inside the advertised range but outside the range the code accepts, so the
documented contract and the implementation disagree. A base of exactly 1 cannot be used
by math.log (it raises ZeroDivisionError), but the metadata should not advertise it as
valid, and the resolver currently substitutes a different value rather than rejecting the
input.
Expected: a value the UI documents as legal is either honoured or rejected with a
visible error; the documented range matches the resolver's accepted range.
Reproduction
- Set
platform_settings.segmented_reply.interval_methodtologand
platform_settings.segmented_reply.log_baseto1.0(a value the configuration hint
explicitly lists as in range). - Run the responder with segmented replies enabled and send a message that triggers
segmentation. - The error log shows
Unusable segmented-reply log base: 1.0, using the default 2.6 instead., and the computed interval is derived frommath.log(n, 2.6).
A unit test can call the shipped _resolve_log_base(1.0) directly and assert whether the
result should be 1.0 (honoured), an error (rejected), or 2.6 (documented substitution) —
today it returns 2.6 while the hint says 1.0 is valid.
Relevant code
# astrbot/core/config/default.py:4551-4557
"platform_settings.segmented_reply.log_base": {
"description": "对数底数",
"type": "float",
"hint": "对数间隔的底数,默认为 2.6。取值范围为 1.0-10.0。",
"condition": {
"platform_settings.segmented_reply.interval_method": "log",
},
},
# astrbot/core/pipeline/respond/stage.py:17-36
DEFAULT_LOG_BASE = 2.6
def _resolve_log_base(value: float | str | None) -> float:
"""Return a log base that math.log accepts, or the documented default."""
try:
log_base = float(value)
except (TypeError, ValueError) as e:
logger.error(f"Failed to parse the segmented-reply log base: {e}")
return DEFAULT_LOG_BASE
if not math.isfinite(log_base) or log_base <= 1:
# math.log(words, 1) raises ZeroDivisionError and a non-positive base
# raises ValueError; both escape from _calc_comp_interval before the
# first send, so the whole reply is dropped.
logger.error(
f"Unusable segmented-reply log base: {log_base}, "
f"using the default {DEFAULT_LOG_BASE} instead.",
)
return DEFAULT_LOG_BASE
return log_base
# astrbot/core/pipeline/respond/stage.py:96-97,124
self.log_base = _resolve_log_base(
ctx.astrbot_config["platform_settings"]["segmented_reply"]["log_base"],
)
...
i = math.log(wc + 1, self.log_base)
Root cause
The metadata hint in default.py was written as an inclusive 1.0-10.0 range, while the
resolver in stage.py treats log_base <= 1 as unusable and replaces it with 2.6
(adding only an error log). The two ranges are maintained in different files with no shared
constant or test, so the UI advertises a boundary value the consumer refuses; a user who
sets the documented minimum gets a different base than requested, and the substitution is
only visible in the log.
Suggested fix
- Make the documented range match the implementation: state
(1.0, 10.0](or
1.0 < log_base <= 10.0) in the hint, or accept1.0by defining the effective base
as1.0 + epsilonand documenting that behaviour. - Derive the hint from a single shared constant (e.g.
MIN_LOG_BASE/MAX_LOG_BASE) used
by bothdefault.pyand_resolve_log_base. - Add a test asserting that every value inside the advertised range is either honoured or
produces a user-visible validation error, and that out-of-range values are rejected.
- Lenguaje dominante
- Python
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