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The backend can now be inspected through a loopback-only gateway while the database-aware API remains on the internal data network. A governed synthetic demo proves readiness, pgvector retrieval, reranking, and citation output through real HTTP without invoking cloud models. Constraint: The previously exposed Bailian key is compromised and cannot be used for live validation Constraint: The API must be locally reachable while retaining no internet egress Rejected: Attach the API directly to the ingress network | a real socket test proved that configuration still had egress Rejected: Publish a port from the internal-only network | Docker Desktop did not expose the host port Confidence: high Scope-risk: moderate Reversibility: clean Directive: Keep model and database credentials out of the gateway; do not relax the fixed demo identity/profile filters Tested: make verify; 63 pytest tests; strict mypy; Ruff; Secret scan; Compose config; three backend image builds; API/DB/gateway healthy; migration exit 0; Swagger browser check; live/ready/meta/status/search HTTP; 20/20/20 index; API egress ENETUNREACH; empty gateway mounts and business environment Not-tested: Live Bailian calls require a newly rotated key; full generated-answer flow and React UI are not implemented
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
"""Stable identity and embedding profile for the public synthetic demo corpus."""
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from __future__ import annotations
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import hashlib
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import json
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import uuid
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DEMO_SCOPE_NAME = "synthetic-demo"
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DEMO_EXPECTED_CHUNKS = 20
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DEMO_FAKE_EMBEDDING_MODEL = "fake-feature-hash-v1"
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IDENTITY_NAMESPACE = uuid.UUID("eef85571-1f64-4a09-86d7-53fd329c3eb2")
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KNOWLEDGE_BASE_ID = uuid.uuid5(IDENTITY_NAMESPACE, "synthetic-demo-knowledge-base")
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ACCESS_SCOPE_ID = uuid.uuid5(IDENTITY_NAMESPACE, "synthetic-demo-public-scope")
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def offline_embedding_profile_hash(dimension: int) -> str:
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"""Return the exact profile bound to vectors produced by the offline embedder."""
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profile = {
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"api_mode": "deterministic-offline",
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"dimension": dimension,
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"endpoint_identity_hash": "local-fake",
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"model": DEMO_FAKE_EMBEDDING_MODEL,
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"normalization": "provider-default",
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"profile_version": 1,
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}
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serialized = json.dumps(
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profile,
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ensure_ascii=False,
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sort_keys=True,
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separators=(",", ":"),
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)
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return hashlib.sha256(serialized.encode("utf-8")).hexdigest()
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