73 lines
2.3 KiB
Python
73 lines
2.3 KiB
Python
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"""Build the fund-flow graph from deduplicated transactions."""
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from uuid import UUID
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from collections import defaultdict
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.repositories.transaction_repo import TransactionRepository
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from app.schemas.transaction import FlowGraphOut, FlowNodeOut, FlowEdgeOut
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async def build_flow_graph(case_id: UUID, db: AsyncSession) -> FlowGraphOut:
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repo = TransactionRepository(db)
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transactions = await repo.get_all_by_case(case_id)
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valid = [tx for tx in transactions if not tx.is_duplicate]
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nodes_map: dict[str, str] = {} # label -> type
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edge_agg: dict[tuple[str, str], dict] = defaultdict(
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lambda: {"amount": 0.0, "count": 0, "trade_time": ""}
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)
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for tx in valid:
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self_label = _self_label(tx)
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counter_label = tx.counterparty_name or "未知对手方"
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if self_label not in nodes_map:
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nodes_map[self_label] = "self"
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if counter_label not in nodes_map:
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nodes_map[counter_label] = "suspect" if not tx.is_transit else "transit"
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if tx.direction.value == "out":
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key = (self_label, counter_label)
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else:
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key = (counter_label, self_label)
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edge_agg[key]["amount"] += float(tx.amount)
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edge_agg[key]["count"] += 1
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time_str = tx.trade_time.strftime("%Y-%m-%d %H:%M") if tx.trade_time else ""
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if not edge_agg[key]["trade_time"]:
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edge_agg[key]["trade_time"] = time_str
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nodes = [
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FlowNodeOut(id=f"n-{i}", label=label, type=ntype)
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for i, (label, ntype) in enumerate(nodes_map.items())
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]
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label_to_id = {n.label: n.id for n in nodes}
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edges = [
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FlowEdgeOut(
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source=label_to_id[src],
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target=label_to_id[tgt],
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amount=info["amount"],
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count=info["count"],
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trade_time=info["trade_time"],
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)
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for (src, tgt), info in edge_agg.items()
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]
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return FlowGraphOut(nodes=nodes, edges=edges)
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def _self_label(tx) -> str:
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app_names = {
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"wechat": "微信支付",
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"alipay": "支付宝",
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"bank": f"银行卡({tx.self_account_tail_no})" if tx.self_account_tail_no else "银行卡",
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"digital_wallet": "数字钱包",
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"other": "其他账户",
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}
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return app_names.get(tx.source_app.value, "未知账户")
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