c762564d40
- Fix 71 invalid-syntax files (class-body newline-broken assignments) - Add from/None chain to 307 B904 raise-without-from sites - Add B008 ignore to ruff.toml (already in pyproject.toml) - Noqa F401 on __init__.py re-exports (137 sites) - Noqa E402 on deferred imports (63 sites) - Bulk-add stdlib/FastAPI/project imports for F821 (127 sites) - Replace ×→x, –→-, …→... in docstrings (4093 chars) - Manual refactor of 5 SIM103/SIM116 patterns Tests: 791 passed (66 deselected due to pre-existing Redis issues in test_rag.py) Co-authored-by: opencode <opencode@rugmunch.io>
100 lines
3.1 KiB
Python
100 lines
3.1 KiB
Python
"""
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BigQuery Wallet Analytics Pipeline
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====================================
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Streams wallet labels, scan results, and embedding usage to BigQuery.
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All usage counts against free tier (1TB queries/month - we'll use <1%).
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"""
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import logging
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from datetime import UTC, datetime
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from app.gcloud_manager import get_gcloud
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logger = logging.getLogger("bigquery.pipeline")
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async def stream_wallet_labels(labels: list) -> dict:
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"""Stream wallet labels to BigQuery rmi_production.wallet_labels."""
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if not labels:
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return {"streamed": 0, "errors": 0}
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gcloud = get_gcloud()
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rows = []
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for w in labels:
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rows.append(
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{
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"address": w.get("address", ""),
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"chain": w.get("chain", "ethereum"),
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"label": w.get("label", ""),
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"persona": w.get("persona", ""),
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"risk_score": float(w.get("risk_score", 0)),
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"tx_count": int(w.get("tx_count", 0)),
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"volume_usd": float(w.get("volume_usd", 0)),
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"last_updated": datetime.now(UTC).isoformat(),
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}
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)
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ok = await gcloud.bigquery_insert("rmi_production", "wallet_labels", rows)
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return {"streamed": len(rows) if ok else 0, "errors": 0 if ok else len(rows)}
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async def stream_scan_result(result: dict) -> bool:
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"""Stream a single scan result to BigQuery."""
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gcloud = get_gcloud()
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return await gcloud.bigquery_insert(
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"rmi_production",
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"scan_results",
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[
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{
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"token_address": result.get("address", ""),
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"chain": result.get("chain", "ethereum"),
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"risk_level": result.get("risk_level", "unknown"),
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"is_scam": result.get("is_scam", False),
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"score": int(result.get("score", 0)),
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"flags": result.get("flags", []),
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"scan_timestamp": datetime.now(UTC).isoformat(),
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}
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],
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)
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async def stream_embedding_usage(provider: str, task: str, dims: int, count: int = 1):
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"""Log embedding usage for analytics."""
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gcloud = get_gcloud()
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await gcloud.bigquery_insert(
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"rmi_production",
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"embedding_usage",
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[
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{
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"provider": provider,
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"task": task,
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"dims": dims,
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"call_count": count,
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"timestamp": datetime.now(UTC).isoformat(),
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}
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],
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)
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async def top_scam_wallets(limit: int = 10) -> list:
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"""Query BigQuery for top scam-flagged wallets."""
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gcloud = get_gcloud()
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return await gcloud.bigquery_query(f"""
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SELECT address, chain, label, risk_score
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FROM rmi_production.wallet_labels
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WHERE risk_score > 0.7
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ORDER BY risk_score DESC
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LIMIT {limit}
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""")
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async def daily_scan_stats() -> list:
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"""Get today's scan statistics from BigQuery."""
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gcloud = get_gcloud()
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return await gcloud.bigquery_query("""
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SELECT risk_level, COUNT(*) as count
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FROM rmi_production.scan_results
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WHERE scan_timestamp >= TIMESTAMP_TRUNC(CURRENT_TIMESTAMP(), DAY)
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GROUP BY risk_level
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ORDER BY count DESC
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""")
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