Based on manvalan/pinscope main. Default LLM is DeepSeek with local skills and PDF ingest. Datasheets are fetched from LCSC/TI, stored in the component library, and review extracts abs-max with a deeper checklist. Adds scripts/update-pinscope.sh for the production host.
135 lines
5.3 KiB
Python
135 lines
5.3 KiB
Python
"""Verify the cost estimator + credit gate auto-update when model
|
||
routing env vars change.
|
||
|
||
Before this refactor, ``cost_estimator`` exposed flat ``DEFAULT_*_USD``
|
||
constants that had to be hand-bumped every time someone changed a
|
||
``MODEL_*`` / ``PROVIDER_*`` env var. Now ``estimate_stage_cost_usd``
|
||
resolves the runtime provider+model from settings and prices against
|
||
``services.llm.pricing.PRICING`` — the same table that real billing
|
||
reads.
|
||
|
||
These tests pin that contract: same stage, two different models, two
|
||
different costs (in the direction the rate table predicts).
|
||
"""
|
||
|
||
from __future__ import annotations
|
||
|
||
import importlib
|
||
|
||
import pytest
|
||
|
||
from backend.config import settings
|
||
from backend.services.cost_estimator import (
|
||
STAGE_TOKEN_BASELINES,
|
||
estimate_stage_cost_usd,
|
||
)
|
||
from backend.services.llm.pricing import PRICING
|
||
|
||
|
||
@pytest.fixture
|
||
def restore_settings():
|
||
"""Snapshot every per-stage routing field; restore after the test."""
|
||
fields = [
|
||
"anthropic_model", "gemini_model", "deepseek_model",
|
||
"provider_default", "provider_validation",
|
||
"provider_pintable", "provider_pattern", "provider_specs",
|
||
"provider_auto_resolve",
|
||
"model_validation", "model_validation_gemini", "model_validation_deepseek",
|
||
"model_pintable", "model_pintable_gemini", "model_pintable_deepseek",
|
||
"model_pattern", "model_pattern_gemini", "model_pattern_deepseek",
|
||
"model_specs", "model_specs_gemini", "model_specs_deepseek",
|
||
"model_auto_resolve", "model_auto_resolve_gemini", "model_auto_resolve_deepseek",
|
||
]
|
||
snapshot = {f: getattr(settings, f) for f in fields if hasattr(settings, f)}
|
||
yield
|
||
for f, v in snapshot.items():
|
||
setattr(settings, f, v)
|
||
|
||
|
||
def test_review_cost_changes_with_validation_model(restore_settings):
|
||
"""Routing validation to Sonnet vs Haiku should produce different
|
||
per-IC review costs — and Haiku should be cheaper than Sonnet."""
|
||
settings.provider_validation = "anthropic"
|
||
|
||
settings.model_validation = "claude-sonnet-4-6"
|
||
sonnet_cost = estimate_stage_cost_usd("review")
|
||
|
||
settings.model_validation = "claude-haiku-4-5"
|
||
haiku_cost = estimate_stage_cost_usd("review")
|
||
|
||
assert sonnet_cost > 0
|
||
assert haiku_cost > 0
|
||
# Haiku is ~3× cheaper than Sonnet on input ($1 vs $3) and 3× on
|
||
# output ($5 vs $15). The blended ratio with cache_read should
|
||
# land Haiku at <50% of Sonnet's cost — wide enough margin to be
|
||
# robust to baseline tweaks.
|
||
assert haiku_cost < sonnet_cost * 0.6
|
||
|
||
|
||
def test_review_cost_changes_with_validation_provider(restore_settings):
|
||
"""Flipping PROVIDER_VALIDATION between deepseek and anthropic must
|
||
swap the rate table the estimator pulls from."""
|
||
settings.provider_validation = "deepseek"
|
||
settings.model_validation_deepseek = "deepseek-v4-pro"
|
||
deepseek_cost = estimate_stage_cost_usd("review")
|
||
|
||
settings.provider_validation = "anthropic"
|
||
settings.model_validation = "claude-sonnet-4-6"
|
||
anthropic_cost = estimate_stage_cost_usd("review")
|
||
|
||
assert deepseek_cost > 0
|
||
assert anthropic_cost > 0
|
||
assert abs(deepseek_cost - anthropic_cost) > 0.01, (
|
||
f"expected materially different costs, got "
|
||
f"deepseek={deepseek_cost!r} anthropic={anthropic_cost!r}"
|
||
)
|
||
|
||
|
||
def test_unknown_model_falls_back_to_default_rate(restore_settings):
|
||
"""A model not in PRICING[provider] should price against
|
||
PRICING[provider]['default'], not crash."""
|
||
settings.provider_validation = "anthropic"
|
||
settings.model_validation = "claude-totally-made-up-2099"
|
||
cost = estimate_stage_cost_usd("review")
|
||
|
||
# Same baseline against PRICING['anthropic']['default']
|
||
settings.model_validation = "" # forces anthropic_model fallback
|
||
settings.anthropic_model = "claude-totally-made-up-2099"
|
||
cost_via_global_default = estimate_stage_cost_usd("review")
|
||
|
||
assert cost > 0
|
||
assert cost == pytest.approx(cost_via_global_default, rel=1e-9)
|
||
|
||
|
||
def test_baselines_cover_every_estimator_stage_kind():
|
||
"""STAGE_TOKEN_BASELINES must have an entry for every CostItem.kind
|
||
the estimator emits — otherwise estimate_stage_cost_usd crashes
|
||
with a KeyError mid-estimate."""
|
||
expected = {
|
||
"ic_extraction", "simple_extraction", "passive_pattern",
|
||
"digikey_resolve", "review",
|
||
}
|
||
assert expected.issubset(STAGE_TOKEN_BASELINES.keys()), (
|
||
f"missing baselines: {expected - set(STAGE_TOKEN_BASELINES.keys())}"
|
||
)
|
||
|
||
|
||
def test_settings_stages_are_known_to_config(restore_settings):
|
||
"""The 'settings_stage' field of every baseline must be a key
|
||
accepted by Settings.model_for_stage / provider_for_stage."""
|
||
for stage, base in STAGE_TOKEN_BASELINES.items():
|
||
s = str(base["settings_stage"])
|
||
# Should not raise; should return non-empty strings for
|
||
# provider+model.
|
||
provider = settings.provider_for_stage(s)
|
||
model = settings.model_for_stage(s)
|
||
assert provider, f"empty provider for stage {stage!r} -> {s!r}"
|
||
assert model, f"empty model for stage {stage!r} -> {s!r}"
|
||
|
||
|
||
def test_pricing_table_has_all_default_entries():
|
||
"""estimate_stage_cost_usd's safety-net fall-through assumes every
|
||
provider has a 'default' row. Pin that contract."""
|
||
for provider, table in PRICING.items():
|
||
assert "default" in table, f"PRICING[{provider!r}] missing 'default'"
|