mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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b13cb389cc
- API routers, ACA modules, integrations (draft operators) - Docs, landing pages, scripts (launch readiness, scorecard) - Tests and CI workflow updates for Dealix Co-authored-by: Cursor <cursoragent@cursor.com>
36 lines
1.4 KiB
Python
36 lines
1.4 KiB
Python
"""Deterministic action graph: signal → policy → approval → outcome → proof (demo)."""
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from __future__ import annotations
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from typing import Any
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def build_action_graph_trace(payload: dict[str, Any] | None = None) -> dict[str, Any]:
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"""
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Returns nodes/edges for UI or docs — no execution.
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"""
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p = payload or {}
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signal = str(p.get("signal_type") or "lead_received")
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nodes = [
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{"id": "n1", "kind": "signal", "label_ar": f"إشارة: {signal}"},
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{"id": "n2", "kind": "context", "label_ar": "بناء سياق (شركة، قناة، مصدر)"},
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{"id": "n3", "kind": "policy", "label_ar": "تقييم سياسة القناة"},
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{"id": "n4", "kind": "approval", "label_ar": "موافقة بشرية"},
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{"id": "n5", "kind": "draft_or_block", "label_ar": "مسودة أو منع"},
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{"id": "n6", "kind": "proof", "label_ar": "تسجيل في Proof Ledger"},
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]
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edges = [
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{"from": "n1", "to": "n2", "label": "enrich"},
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{"from": "n2", "to": "n3", "label": "evaluate"},
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{"from": "n3", "to": "n4", "label": "if_external"},
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{"from": "n4", "to": "n5", "label": "on_approve"},
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{"from": "n5", "to": "n6", "label": "record"},
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]
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return {
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"signal_type": signal,
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"nodes": nodes,
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"edges": edges,
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"note_ar": "عرض منطقي فقط — لا ينفّذ أدوات خارجية.",
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"demo": True,
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}
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