125 lines
3.9 KiB
Python
125 lines
3.9 KiB
Python
"""
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eth-labels DataBus Provider - 115K+ labeled addresses across 15+ EVM chains.
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Queries the SQLite database built from dawsbot/eth-labels.
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"""
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import os
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import sqlite3
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DB_PATH = os.environ.get(
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"ETH_LABELS_DB", os.path.join(os.path.dirname(__file__), "..", "..", "eth-labels.db")
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)
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# Fallback paths for different environments
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if not os.path.exists(DB_PATH):
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alt_paths = [
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os.path.expanduser("~/rmi/eth-labels.db"),
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"/app/eth-labels.db",
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os.path.join(os.path.dirname(__file__), "eth-labels.db"),
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]
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for p in alt_paths:
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if os.path.exists(p):
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DB_PATH = p
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break
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async def fetch_eth_labels(
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address: str | None = None,
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label: str | None = None,
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chain_id: int | None = None,
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limit: int = 20,
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) -> dict:
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"""Query eth-labels database for address labels, name tags, and entity info."""
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if not os.path.exists(DB_PATH):
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return {"error": "eth-labels database not found", "path": DB_PATH}
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conn = sqlite3.connect(DB_PATH)
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conn.row_factory = sqlite3.Row
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cur = conn.cursor()
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try:
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if address:
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# Normalize address
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addr = address.lower()
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cur.execute(
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"SELECT chain_id, address, label, name_tag FROM accounts WHERE lower(address) = ? LIMIT ?",
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(addr, limit),
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)
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rows = [dict(r) for r in cur.fetchall()]
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if not rows:
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# Try partial match
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cur.execute(
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"SELECT chain_id, address, label, name_tag FROM accounts WHERE lower(address) LIKE ? LIMIT ?",
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(f"%{addr}%", limit),
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)
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rows = [dict(r) for r in cur.fetchall()]
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return {
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"query": address,
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"matches": len(rows),
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"labels": rows,
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"source": "eth-labels (dawsbot)",
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}
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elif label:
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cur.execute(
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"SELECT chain_id, address, label, name_tag FROM accounts WHERE label LIKE ? OR name_tag LIKE ? LIMIT ?",
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(f"%{label}%", f"%{label}%", limit),
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)
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rows = [dict(r) for r in cur.fetchall()]
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return {
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"query": label,
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"matches": len(rows),
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"results": rows,
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"source": "eth-labels (dawsbot)",
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}
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elif chain_id:
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cur.execute(
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"SELECT label, COUNT(*) as cnt FROM accounts WHERE chain_id = ? GROUP BY label ORDER BY cnt DESC LIMIT ?",
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(chain_id, limit),
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)
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rows = [dict(r) for r in cur.fetchall()]
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return {
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"chain_id": chain_id,
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"label_distribution": rows,
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"source": "eth-labels (dawsbot)",
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}
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else:
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# Stats
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cur.execute("SELECT COUNT(*) as total FROM accounts")
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total = cur.fetchone()["total"]
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cur.execute("SELECT COUNT(DISTINCT label) as labels FROM accounts")
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unique_labels = cur.fetchone()["labels"]
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cur.execute("SELECT COUNT(DISTINCT chain_id) as chains FROM accounts")
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chains = cur.fetchone()["chains"]
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return {
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"total_accounts": total,
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"unique_labels": unique_labels,
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"chains_supported": chains,
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"chains": [
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1,
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10,
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56,
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137,
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250,
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1284,
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1285,
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42161,
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43114,
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42220,
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8453,
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59144,
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534352,
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7777777,
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204,
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],
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"source": "eth-labels (dawsbot)",
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"license": "MIT",
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"url": "https://github.com/dawsbot/eth-labels",
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}
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finally:
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conn.close()
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