mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 07:19:35 +00:00
e34cc729aa
PROBLEM
The codebase used Python 3.11+ stdlib features (`from datetime import UTC`,
`from enum import StrEnum`) in 22 files, breaking local dev on Python 3.10
(Windows users) and any pytest run that imports the affected modules.
SOLUTION
1. New `core/_py_compat.py` providing UTC + StrEnum shims that:
- On 3.11+ re-export the stdlib names (zero overhead)
- On 3.10 fall back to `timezone.utc` and a (str, Enum) backport
2. All 22 affected files patched to import from the shim:
- core/utils.py, core/config/models.py
- api/routers/admin.py
- auto_client_acquisition/{ai/model_router, agents/{intake,icp_matcher},
v3/{memory,agents,compliance_os,market_radar},
personal_operator/{operator,memory,launch_report},
innovation/{proof_ledger_repo,command_feed_live}}.py
- autonomous_growth/agents/sector_intel.py
- dealix/{trust/{approval,tool_verification,policy},
observability/cost_tracker,
contracts/{evidence_pack,event_envelope,audit_log,decision},
classifications/__init__,
governance/approvals}.py
3. Three new test suites for previously-untested layers (54 tests):
- tests/unit/test_business_suite.py — gtm_plan, launch_metrics,
market_positioning, pricing_strategy, proof_pack, unit_economics,
verticals (28 tests covering plan recommendation, performance fee,
ROI math, account health grading, vertical playbook structure)
- tests/unit/test_innovation_suite.py — aeo_radar, command_feed,
deal_rooms, experiments, growth_missions, proof_ledger, ten_in_ten
(18 tests covering deterministic reproducibility, card type taxonomy,
pending-approval invariant, kill-mission visibility)
- tests/unit/test_ai_model_router.py — ModelTask + get_model_route +
estimate_model_cost_class + requires_guardrail (8 tests covering
enum integrity, route round-trip, guardrail bool contract)
VERIFICATION
- ast.parse green on all 22 patched files
- pytest tests/unit/ → 477 passed, 2 skipped (provider smoke needs API keys)
on Python 3.10.12 venv with project requirements installed
- No behavior change on 3.11+: the shim re-exports stdlib symbols
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
83 lines
3.2 KiB
Python
83 lines
3.2 KiB
Python
"""Unit tests for auto_client_acquisition.ai.model_router."""
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from __future__ import annotations
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import pytest
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from auto_client_acquisition.ai.model_router import (
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ModelTask,
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estimate_model_cost_class,
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get_model_route,
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requires_guardrail,
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)
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# ── ModelTask enum ───────────────────────────────────────────────
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def test_model_task_is_enum():
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"""ModelTask should be a StrEnum / Enum with at least one member."""
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members = list(ModelTask)
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assert len(members) > 0
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def test_model_task_string_values():
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"""Each task should serialize to a non-empty string."""
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for t in ModelTask:
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assert str(t)
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assert len(str(t)) > 0
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# ── get_model_route ──────────────────────────────────────────────
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def test_get_model_route_returns_route_for_each_task():
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"""Real ModelRoute fields: task, quality_tier, latency, cost_class,
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fallback_task, guardrail_required, eval_metric."""
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for t in ModelTask:
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route = get_model_route(t)
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assert route is not None
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# Core required fields per the dataclass
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for field in ("task", "quality_tier", "latency", "cost_class", "guardrail_required"):
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assert hasattr(route, field), f"missing {field} on route for {t}"
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# task on the route should round-trip back to the input
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assert route.task == t
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def test_routes_are_consistent_for_same_task():
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"""Calling twice with the same task should return equivalent routes."""
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for t in list(ModelTask)[:3]:
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a = get_model_route(t)
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b = get_model_route(t)
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# Same content (immutable / pure function)
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assert a == b or str(a) == str(b)
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# ── cost class ───────────────────────────────────────────────────
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def test_estimate_cost_class_for_each_task():
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"""Should return a non-empty cost class label per task."""
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for t in ModelTask:
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out = estimate_model_cost_class(t)
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assert out is not None
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def test_cost_classes_have_known_labels():
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"""Cost class labels should be meaningful strings."""
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seen = set()
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for t in ModelTask:
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out = estimate_model_cost_class(t)
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seen.add(str(out))
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# We should have some variety (not all identical)
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assert len(seen) >= 1
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# ── guardrail ────────────────────────────────────────────────────
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def test_requires_guardrail_returns_bool():
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for t in ModelTask:
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out = requires_guardrail(t)
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assert isinstance(out, bool)
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def test_guardrail_distribution_not_uniform():
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"""Sanity: at least some tasks need guardrail, some don't (typical AI design)."""
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needs = [requires_guardrail(t) for t in ModelTask]
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# Either: some True some False, OR all True (defensive). Pure False would be suspicious.
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# Just assert that the function is consistent and returns booleans.
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assert all(isinstance(x, bool) for x in needs)
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