feat(ai): 建立 PixelRAG application portfolio

tests/test_pixelrag_application_portfolio_service.py

@@ -0,0 +1,86 @@
+import json
+import subprocess
+import sys
+
+
+def test_pixelrag_application_portfolio_prioritizes_commerce_and_guardrails():
+    from services.pixelrag_application_portfolio_service import (
+        POLICY,
+        build_pixelrag_application_portfolio,
+    )
+
+    payload = build_pixelrag_application_portfolio(include_forbidden=True)
+    lanes = {item["id"]: item for item in payload["lanes"]}
+
+    assert payload["policy"] == POLICY
+    assert payload["status"] == "portfolio_ready"
+    assert payload["summary"]["lane_count"] >= 10
+    assert payload["summary"]["worker_required_count"] >= 1
+    assert "commerce.marketplace_visual_offer_cards" in lanes
+    assert lanes["commerce.marketplace_visual_offer_cards"]["priority"] == "P0"
+    assert lanes["commerce.marketplace_visual_offer_cards"]["next_machine_action"] == (
+        "run_ollama_first_vlm_replay_worker"
+    )
+    assert "Google Merchant product data" in lanes[
+        "commerce.product_feed_and_structured_data_gap_check"
+    ]["integrates_with"]
+    assert lanes["commerce.platform_barrier_classifier"]["status"] == (
+        "production_contract_ready"
+    )
+    assert lanes["forbidden.personalized_or_private_state"]["status"] == "forbidden"
+    assert payload["controlled_apply"]["db_write"] is False
+    assert payload["controlled_apply"]["primary_human_gate_count"] == 0
+    assert any(item["id"] == "pixelrag_visual_rag_pattern" for item in payload["source_basis"])
+    assert payload["recommended_order"][0]["priority"] == "P0"
+
+
+def test_pixelrag_application_portfolio_filters_area_without_forbidden_by_default():
+    from services.pixelrag_application_portfolio_service import build_pixelrag_application_portfolio
+
+    payload = build_pixelrag_application_portfolio(area="governance")
+
+    assert {item["area"] for item in payload["lanes"]} == {"governance"}
+    assert all(item["status"] != "forbidden" for item in payload["lanes"])
+    assert payload["summary"]["lane_count"] == 1
+    assert payload["lanes"][0]["id"] == "commerce.platform_barrier_classifier"
+
+
+def test_pixelrag_application_portfolio_cli_outputs_machine_readable_json():
+    completed = subprocess.run(
+        [
+            sys.executable,
+            "scripts/ops/report_pixelrag_application_portfolio.py",
+            "--area",
+            "commerce",
+            "--priority",
+            "P1",
+        ],
+        capture_output=True,
+        check=False,
+        text=True,
+    )
+
+    assert completed.returncode == 0
+    payload = json.loads(completed.stdout)
+    assert payload["success"] is True
+    assert payload["filters"]["area"] == "commerce"
+    assert payload["filters"]["priority"] == "P1"
+    assert {item["priority"] for item in payload["lanes"]} == {"P1"}
+    assert payload["controlled_apply"]["network_call"] is False
+
+
+def test_pixelrag_application_portfolio_route_returns_readback():
+    from flask import Flask
+    from routes import system_public_routes as routes
+
+    app = Flask(__name__)
+    with app.test_request_context(
+        "/api/ai-automation/pixelrag-application-portfolio?area=rag"
+    ):
+        response = routes.ai_automation_pixelrag_application_portfolio_api.__wrapped__()
+    payload = response.get_json()
+
+    assert payload["policy"] == "read_only_pixelrag_application_portfolio_v1"
+    assert payload["filters"]["area"] == "rag"
+    assert {item["area"] for item in payload["lanes"]} == {"rag"}
+    assert payload["next_machine_action"] == "run_ollama_first_vlm_replay_worker"