From a9ff5921340a65c38487894448116c7f4f59ed1c Mon Sep 17 00:00:00 2001 From: Andrew Davis <1709934+Savid@users.noreply.github.com> Date: Thu, 21 Nov 2024 19:04:14 +1000 Subject: [PATCH] feat(examples): add network --- .../execution-layer/execution-layer.ipynb | 50 +++++++++++++------ 1 file changed, 34 insertions(+), 16 deletions(-) diff --git a/examples/clickhouse/execution-layer/execution-layer.ipynb b/examples/clickhouse/execution-layer/execution-layer.ipynb index 4971dcc..bedc4b0 100644 --- a/examples/clickhouse/execution-layer/execution-layer.ipynb +++ b/examples/clickhouse/execution-layer/execution-layer.ipynb @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -61,7 +61,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -83,18 +83,31 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 13, "metadata": {}, "outputs": [ { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "DatabaseException", + "evalue": "Orig exception: Code: 43. DB::Exception: Illegal types String and UInt16 of arguments of function minus: While processing ((block_number >= '20000000') AND (block_number <= ('21000000' - 10000))) AND (meta_network_name = 'mainnet'). (ILLEGAL_TYPE_OF_ARGUMENT) (version 24.2.3.70 (official build))\n", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mDatabaseException\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[13], line 37\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;66;03m# Get blocks in 1000 block intervals\u001b[39;00m\n\u001b[1;32m 6\u001b[0m query \u001b[38;5;241m=\u001b[39m text(\u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;124m WITH blocks AS (\u001b[39m\n\u001b[1;32m 8\u001b[0m \u001b[38;5;124m SELECT \u001b[39m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 34\u001b[0m \u001b[38;5;124m ORDER BY b.block_group, blocks_in_period DESC\u001b[39m\n\u001b[1;32m 35\u001b[0m \u001b[38;5;124m\"\"\"\u001b[39m)\n\u001b[0;32m---> 37\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mquery\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstart_block\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstart_block\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mend_block\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mend_block\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mresolution\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mresolution\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mnetwork\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnetwork\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 39\u001b[0m \u001b[38;5;66;03m# Convert to pandas DataFrame\u001b[39;00m\n\u001b[1;32m 40\u001b[0m df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(result\u001b[38;5;241m.\u001b[39mfetchall(), columns\u001b[38;5;241m=\u001b[39m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mblock_group\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mauthor\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mextra_data\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mblocks\u001b[39m\u001b[38;5;124m'\u001b[39m])\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/sqlalchemy/engine/base.py:1418\u001b[0m, in \u001b[0;36mConnection.execute\u001b[0;34m(self, statement, parameters, execution_options)\u001b[0m\n\u001b[1;32m 1416\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mObjectNotExecutableError(statement) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 1417\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1418\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1419\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1420\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_parameters\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1421\u001b[0m \u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mNO_OPTIONS\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1422\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/sqlalchemy/sql/elements.py:515\u001b[0m, in \u001b[0;36mClauseElement._execute_on_connection\u001b[0;34m(self, connection, distilled_params, execution_options)\u001b[0m\n\u001b[1;32m 513\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m TYPE_CHECKING:\n\u001b[1;32m 514\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m, Executable)\n\u001b[0;32m--> 515\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_clauseelement\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 516\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdistilled_params\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\n\u001b[1;32m 517\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 518\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 519\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mObjectNotExecutableError(\u001b[38;5;28mself\u001b[39m)\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/sqlalchemy/engine/base.py:1640\u001b[0m, in \u001b[0;36mConnection._execute_clauseelement\u001b[0;34m(self, elem, distilled_parameters, execution_options)\u001b[0m\n\u001b[1;32m 1628\u001b[0m compiled_cache: Optional[CompiledCacheType] \u001b[38;5;241m=\u001b[39m execution_options\u001b[38;5;241m.\u001b[39mget(\n\u001b[1;32m 1629\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcompiled_cache\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine\u001b[38;5;241m.\u001b[39m_compiled_cache\n\u001b[1;32m 1630\u001b[0m )\n\u001b[1;32m 1632\u001b[0m compiled_sql, extracted_params, cache_hit \u001b[38;5;241m=\u001b[39m elem\u001b[38;5;241m.\u001b[39m_compile_w_cache(\n\u001b[1;32m 1633\u001b[0m dialect\u001b[38;5;241m=\u001b[39mdialect,\n\u001b[1;32m 1634\u001b[0m compiled_cache\u001b[38;5;241m=\u001b[39mcompiled_cache,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1638\u001b[0m linting\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdialect\u001b[38;5;241m.\u001b[39mcompiler_linting \u001b[38;5;241m|\u001b[39m compiler\u001b[38;5;241m.\u001b[39mWARN_LINTING,\n\u001b[1;32m 1639\u001b[0m )\n\u001b[0;32m-> 1640\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_context\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1641\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1642\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecution_ctx_cls\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_init_compiled\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1643\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1644\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_parameters\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1645\u001b[0m \u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1646\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1647\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_parameters\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1648\u001b[0m \u001b[43m \u001b[49m\u001b[43melem\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1649\u001b[0m \u001b[43m \u001b[49m\u001b[43mextracted_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1650\u001b[0m \u001b[43m \u001b[49m\u001b[43mcache_hit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_hit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1651\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1652\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m has_events:\n\u001b[1;32m 1653\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdispatch\u001b[38;5;241m.\u001b[39mafter_execute(\n\u001b[1;32m 1654\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1655\u001b[0m elem,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1659\u001b[0m ret,\n\u001b[1;32m 1660\u001b[0m )\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/sqlalchemy/engine/base.py:1846\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[0;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[1;32m 1844\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exec_insertmany_context(dialect, context)\n\u001b[1;32m 1845\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1846\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_exec_single_context\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1847\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\n\u001b[1;32m 1848\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/sqlalchemy/engine/base.py:1986\u001b[0m, in \u001b[0;36mConnection._exec_single_context\u001b[0;34m(self, dialect, context, statement, parameters)\u001b[0m\n\u001b[1;32m 1983\u001b[0m result \u001b[38;5;241m=\u001b[39m context\u001b[38;5;241m.\u001b[39m_setup_result_proxy()\n\u001b[1;32m 1985\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m-> 1986\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_handle_dbapi_exception\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1987\u001b[0m \u001b[43m \u001b[49m\u001b[43me\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstr_statement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43meffective_parameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[1;32m 1988\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1990\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/sqlalchemy/engine/base.py:2358\u001b[0m, in \u001b[0;36mConnection._handle_dbapi_exception\u001b[0;34m(self, e, statement, parameters, cursor, context, is_sub_exec)\u001b[0m\n\u001b[1;32m 2356\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 2357\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m exc_info[\u001b[38;5;241m1\u001b[39m] \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 2358\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc_info[\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39mwith_traceback(exc_info[\u001b[38;5;241m2\u001b[39m])\n\u001b[1;32m 2359\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m 2360\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reentrant_error\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/sqlalchemy/engine/base.py:1967\u001b[0m, in \u001b[0;36mConnection._exec_single_context\u001b[0;34m(self, dialect, context, statement, parameters)\u001b[0m\n\u001b[1;32m 1965\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m 1966\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m evt_handled:\n\u001b[0;32m-> 1967\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_execute\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1968\u001b[0m \u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstr_statement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43meffective_parameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[1;32m 1969\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1971\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_has_events \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine\u001b[38;5;241m.\u001b[39m_has_events:\n\u001b[1;32m 1972\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdispatch\u001b[38;5;241m.\u001b[39mafter_cursor_execute(\n\u001b[1;32m 1973\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1974\u001b[0m cursor,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1978\u001b[0m context\u001b[38;5;241m.\u001b[39mexecutemany,\n\u001b[1;32m 1979\u001b[0m )\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/clickhouse_sqlalchemy/drivers/base.py:488\u001b[0m, in \u001b[0;36mClickHouseDialect.do_execute\u001b[0;34m(self, cursor, statement, parameters, context)\u001b[0m\n\u001b[1;32m 487\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo_execute\u001b[39m(\u001b[38;5;28mself\u001b[39m, cursor, statement, parameters, context\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m--> 488\u001b[0m \u001b[43mcursor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcontext\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/clickhouse_sqlalchemy/drivers/http/connector.py:133\u001b[0m, in \u001b[0;36mCursor.execute\u001b[0;34m(self, operation, parameters, context)\u001b[0m\n\u001b[1;32m 130\u001b[0m raw_sql \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_prepare(raw_sql, context)\n\u001b[1;32m 131\u001b[0m response_gen \u001b[38;5;241m=\u001b[39m transport\u001b[38;5;241m.\u001b[39mexecute(raw_sql, params\u001b[38;5;241m=\u001b[39mparams)\n\u001b[0;32m--> 133\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_process_response\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresponse_gen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 134\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_end_query()\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/clickhouse_sqlalchemy/drivers/http/connector.py:232\u001b[0m, in \u001b[0;36mCursor._process_response\u001b[0;34m(self, response)\u001b[0m\n\u001b[1;32m 229\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_process_response\u001b[39m(\u001b[38;5;28mself\u001b[39m, response):\n\u001b[1;32m 230\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28miter\u001b[39m(response)\n\u001b[0;32m--> 232\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_columns \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mresponse\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 233\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_types \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mnext\u001b[39m(response, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[1;32m 234\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_response \u001b[38;5;241m=\u001b[39m response\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/clickhouse_sqlalchemy/drivers/http/transport.py:133\u001b[0m, in \u001b[0;36mRequestsTransport.execute\u001b[0;34m(self, query, params)\u001b[0m\n\u001b[1;32m 128\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mexecute\u001b[39m(\u001b[38;5;28mself\u001b[39m, query, params\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m 129\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 130\u001b[0m \u001b[38;5;124;03m Query is returning rows and these rows should be parsed or\u001b[39;00m\n\u001b[1;32m 131\u001b[0m \u001b[38;5;124;03m there is nothing to return.\u001b[39;00m\n\u001b[1;32m 132\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 133\u001b[0m r \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_send\u001b[49m\u001b[43m(\u001b[49m\u001b[43mquery\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 134\u001b[0m lines \u001b[38;5;241m=\u001b[39m r\u001b[38;5;241m.\u001b[39miter_lines()\n\u001b[1;32m 135\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "File \u001b[0;32m~/.asdf/installs/python/3.12.1/lib/python3.12/site-packages/clickhouse_sqlalchemy/drivers/http/transport.py:179\u001b[0m, in \u001b[0;36mRequestsTransport._send\u001b[0;34m(self, data, params, stream)\u001b[0m\n\u001b[1;32m 177\u001b[0m orig \u001b[38;5;241m=\u001b[39m HTTPException(r\u001b[38;5;241m.\u001b[39mtext)\n\u001b[1;32m 178\u001b[0m orig\u001b[38;5;241m.\u001b[39mcode \u001b[38;5;241m=\u001b[39m r\u001b[38;5;241m.\u001b[39mstatus_code\n\u001b[0;32m--> 179\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m DatabaseException(orig)\n\u001b[1;32m 180\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m r\n", + "\u001b[0;31mDatabaseException\u001b[0m: Orig exception: Code: 43. DB::Exception: Illegal types String and UInt16 of arguments of function minus: While processing ((block_number >= '20000000') AND (block_number <= ('21000000' - 10000))) AND (meta_network_name = 'mainnet'). (ILLEGAL_TYPE_OF_ARGUMENT) (version 24.2.3.70 (official build))\n" + ] } ], "source": [ @@ -110,7 +123,8 @@ " extra_data_string,\n", " intDiv(block_number, :resolution) * :resolution as block_group\n", " FROM default.canonical_execution_block FINAL\n", - " WHERE block_number BETWEEN :start_block AND :end_block\n", + " WHERE block_number BETWEEN toUInt64(:start_block) AND toUInt64(:end_block) - toUInt64(:resolution)\n", + " AND meta_network_name = :network\n", " ),\n", " top_proposers AS (\n", " SELECT \n", @@ -133,13 +147,17 @@ " ORDER BY b.block_group, blocks_in_period DESC\n", "\"\"\")\n", "\n", - "result = connection.execute(query, {\"start_block\": start_block, \"end_block\": end_block, \"resolution\": resolution})\n", + "result = connection.execute(query, {\"start_block\": start_block, \"end_block\": end_block, \"resolution\": resolution, \"network\": network})\n", "\n", "# Convert to pandas DataFrame\n", "df = pd.DataFrame(result.fetchall(), columns=['block_group', 'author', 'extra_data', 'blocks'])\n", "\n", "# Create line plot\n", "plt.figure(figsize=(14,8))\n", + "\n", + "# Print unique extra_data values to debug\n", + "print(\"Unique extra_data values:\", df['extra_data'].unique())\n", + "\n", "for extra_data in df['extra_data'].unique():\n", " extra_data_blocks = df[df['extra_data'] == extra_data]\n", " plt.plot(extra_data_blocks['block_group'], extra_data_blocks['blocks'], marker='o', label=extra_data)\n", @@ -147,11 +165,11 @@ "plt.xlabel('Block Group (thousands)')\n", "plt.ylabel('Blocks Proposed')\n", "plt.title('Top 5 Block Proposers Over Time')\n", - "plt.legend()\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left') # Move legend outside to prevent overlap\n", "plt.grid(True)\n", "plt.gca().xaxis.set_major_formatter(plt.FuncFormatter(lambda x, p: format(int(x), ',')))\n", - "plt.show()\n", - "\n" + "plt.tight_layout() # Adjust layout to prevent legend cutoff\n", + "plt.show()\n" ] }, {