feat: Intelligence Pipeline v3 — full implementation

Multi-stage evidence-grounded inference architecture replacing the monolithic 9B model extraction pipeline. CPU-first specialist services handle routine extraction while the 9B vLLM model is preserved for semantic adjudication of ambiguous cases. Key components: - Capability-aware inference gateway (OpenAI-compatible + Ollama) - Endpoint registry with DB migrations and REST API - Sentence-aware document segmenter (property tests) - Deterministic financial parsing with offset integrity - Symbol resolution with ambiguity detection - Specialist service (GLiNER2, dynamic batching, K8s deployment) - Company-specific sentiment (FinBERT, calibration) - Retrieval-based novelty and duplicate detection - Confidence calibration pipeline - Deterministic routing engine (property tests) - 9B adjudication layer with VRAM gating - Stock-specific impact model (features, labels, baseline, trained) - Pipeline orchestrator (state machine, queues, leases, feature flags) - Bounded parallelism (async workers, semaphore, load shedding) - Observability (tracing, metrics, alerts) - Compatibility adapter (v3→v2 golden mapping tests) - Shadow/canary promotion framework - Active learning and fine-tuning pipeline Test results: 1,161 tests pass, ruff lint clean. All 282 spec tasks completed.
2026-07-13 02:14:59 +00:00
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+"""Tests for benchmark configuration definitions.
+
+Validates: Requirements 16.2, 16.3, 16.5
+"""
+from __future__ import annotations
+
+import pytest
+
+from services.intelligence_pipeline_v3.benchmark.configurations import (
+    BASELINE_CURRENT,
+    BASELINE_STRICT_SCHEMA,
+    BASELINE_TEMP_ZERO,
+    BenchmarkConfig,
+    StructuredOutputMode,
+    list_configurations,
+)
+
+
+class TestBenchmarkConfig:
+    """Tests for BenchmarkConfig model validation."""
+
+    def test_valid_config_creation(self) -> None:
+        config = BenchmarkConfig(
+            config_name="test",
+            description="A test config",
+            model_name="test-model",
+            temperature=0.5,
+            max_output_tokens=1024,
+            structured_output_mode=StructuredOutputMode.NONE,
+        )
+        assert config.config_name == "test"
+        assert config.temperature == 0.5
+        assert config.seed is None
+        assert config.additional_params == {}
+
+    def test_temperature_bounds(self) -> None:
+        with pytest.raises(Exception):
+            BenchmarkConfig(
+                config_name="bad",
+                description="bad temp",
+                model_name="m",
+                temperature=-0.1,
+                max_output_tokens=100,
+                structured_output_mode=StructuredOutputMode.NONE,
+            )
+
+        with pytest.raises(Exception):
+            BenchmarkConfig(
+                config_name="bad",
+                description="bad temp",
+                model_name="m",
+                temperature=2.1,
+                max_output_tokens=100,
+                structured_output_mode=StructuredOutputMode.NONE,
+            )
+
+    def test_max_output_tokens_must_be_positive(self) -> None:
+        with pytest.raises(Exception):
+            BenchmarkConfig(
+                config_name="bad",
+                description="bad tokens",
+                model_name="m",
+                temperature=0.0,
+                max_output_tokens=0,
+                structured_output_mode=StructuredOutputMode.NONE,
+            )
+
+    def test_config_is_frozen(self) -> None:
+        config = BenchmarkConfig(
+            config_name="frozen",
+            description="immutable",
+            model_name="m",
+            temperature=0.0,
+            max_output_tokens=512,
+            structured_output_mode=StructuredOutputMode.NONE,
+        )
+        with pytest.raises(Exception):
+            config.temperature = 1.0  # type: ignore[misc]
+
+
+class TestStandardConfigurations:
+    """Tests for the predefined standard configurations."""
+
+    def test_baseline_current_uses_temperature_07(self) -> None:
+        assert BASELINE_CURRENT.temperature == 0.7
+
+    def test_baseline_current_uses_json_object(self) -> None:
+        assert BASELINE_CURRENT.structured_output_mode == StructuredOutputMode.JSON_OBJECT
+
+    def test_baseline_current_no_seed(self) -> None:
+        assert BASELINE_CURRENT.seed is None
+
+    def test_baseline_temp_zero_is_deterministic(self) -> None:
+        assert BASELINE_TEMP_ZERO.temperature == 0.0
+        assert BASELINE_TEMP_ZERO.seed == 0
+
+    def test_baseline_temp_zero_same_model(self) -> None:
+        assert BASELINE_TEMP_ZERO.model_name == BASELINE_CURRENT.model_name
+
+    def test_baseline_temp_zero_still_json_object(self) -> None:
+        assert BASELINE_TEMP_ZERO.structured_output_mode == StructuredOutputMode.JSON_OBJECT
+
+    def test_baseline_strict_schema_uses_json_schema(self) -> None:
+        assert BASELINE_STRICT_SCHEMA.structured_output_mode == StructuredOutputMode.JSON_SCHEMA
+
+    def test_baseline_strict_schema_temp_zero(self) -> None:
+        assert BASELINE_STRICT_SCHEMA.temperature == 0.0
+
+    def test_baseline_strict_schema_same_model(self) -> None:
+        assert BASELINE_STRICT_SCHEMA.model_name == BASELINE_CURRENT.model_name
+
+    def test_all_configs_have_unique_names(self) -> None:
+        configs = list_configurations()
+        names = [c.config_name for c in configs]
+        assert len(names) == len(set(names))
+
+    def test_list_configurations_returns_all_three(self) -> None:
+        configs = list_configurations()
+        assert len(configs) == 3
+        names = {c.config_name for c in configs}
+        assert "baseline_current" in names
+        assert "baseline_temp_zero" in names
+        assert "baseline_strict_schema" in names
+
+    def test_all_configs_use_same_max_output_tokens(self) -> None:
+        configs = list_configurations()
+        tokens = {c.max_output_tokens for c in configs}
+        assert len(tokens) == 1  # All should agree
+
+    def test_all_configs_use_same_model(self) -> None:
+        configs = list_configurations()
+        models = {c.model_name for c in configs}
+        assert len(models) == 1
+
+
+class TestStructuredOutputMode:
+    """Tests for the StructuredOutputMode enum."""
+
+    def test_values(self) -> None:
+        assert StructuredOutputMode.NONE.value == "none"
+        assert StructuredOutputMode.JSON_OBJECT.value == "json_object"
+        assert StructuredOutputMode.JSON_SCHEMA.value == "json_schema"
+
+    def test_enum_members(self) -> None:
+        assert len(StructuredOutputMode) == 3