Elevate MiroFish/CrowdSight from single-container dev to a SaaS foundation: - Local memory backend (Zep-compatible): memory services/models, local graph builder + updater, AgentActivity seam, import-boundary isolation; Zep stays default, local is opt-in behind MEMORY_BACKEND. Semantic parity not yet proven. - Durable product persistence: projects/simulations/reports schema (migration 0007) + tenant/owner-scoped ProductRepository + dual-write + scoped_project read-first + ArtifactStore abstraction; durable JobQueue + worker.py. - SaaS hardening: durable RateLimiter (wired to login), UsageService (LLM accounting), redacted AuditService, idempotency, CORS allowlist, safe API errors, single-use PasswordResetService + endpoints (covers invite-pending). - Exactly 3 roles (super_admin/admin/user) with tenant authz policy. - Admin UI: GET/POST/PATCH /api/admin/users + GET/PUT /api/admin/settings (super-admin only, encrypted/masked); AdminView.vue + SettingsView.vue with admin/super-admin route guards, th/en i18n. - Production deploy topology: multi-stage Dockerfile (frontend build + gunicorn wsgi + nginx SPA-proxy + supervisord worker), backend/wsgi.py, gunicorn dep. Backend 197 passed; frontend 10 tests + build green. ruff unavailable (gap). No commit of credentials; secrets handled via env/.env.example. Deferred: Zep semantic A/B parity, object storage cutover, mobile QA, EasyPanel container build of deploy topology.
40 lines
1.6 KiB
Python
40 lines
1.6 KiB
Python
import json
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from pathlib import Path
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from sqlalchemy import create_engine
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from app.db import Base, create_session_factory
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from app.models.memory import MemoryEdge, MemoryGraph, MemoryNode
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from app.services.memory_tools import LocalMemoryTools
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FIXTURE = json.loads(
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Path(__file__).with_name("fixtures").joinpath("memory_parity", "entity_reader_fixture.json").read_text()
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)
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def test_local_memory_tools_quick_search_matches_golden_shape():
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engine = create_engine("sqlite+pysqlite:///:memory:")
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Base.metadata.create_all(engine)
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try:
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with create_session_factory(engine)() as session:
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session.add(MemoryGraph(id="graph-fixture", organization_id="org-a", project_id="project-a"))
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session.add_all([MemoryNode(graph_id="graph-fixture", **node) for node in FIXTURE["nodes"]])
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session.add_all([MemoryEdge(graph_id="graph-fixture", **edge) for edge in FIXTURE["edges"]])
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session.commit()
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tools = LocalMemoryTools(session, organization_id="org-a", graph_id="graph-fixture")
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result = tools.quick_search("Alice", limit=10)
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assert result.query == "Alice"
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assert result.total_count == 1
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assert result.facts == ["Alice works for Acme."]
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assert result.edges[0]["name"] == "WORKS_FOR"
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assert result.nodes == []
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both = tools.search_graph("Acme", limit=10, scope="both")
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assert both.total_count == 2
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assert any(node["name"] == "Acme" for node in both.nodes)
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assert any(edge["fact"] == "Alice works for Acme." for edge in both.edges)
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finally:
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engine.dispose()
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