{ "cells": [ { "cell_type": "code", "execution_count": 15, "id": "087245eb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collecting langchain==0.0.284\n", " Using cached langchain-0.0.284-py3-none-any.whl.metadata (14 kB)\n", "Requirement already satisfied: PyYAML>=5.3 in /opt/anaconda3/lib/python3.11/site-packages (from langchain==0.0.284) (6.0.1)\n", "Requirement already satisfied: SQLAlchemy<3,>=1.4 in /opt/anaconda3/lib/python3.11/site-packages (from langchain==0.0.284) (2.0.25)\n", "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /opt/anaconda3/lib/python3.11/site-packages (from langchain==0.0.284) (3.9.3)\n", "Requirement already satisfied: dataclasses-json<0.6.0,>=0.5.7 in /opt/anaconda3/lib/python3.11/site-packages (from langchain==0.0.284) (0.5.14)\n", "Collecting langsmith<0.1.0,>=0.0.21 (from langchain==0.0.284)\n", " Using cached langsmith-0.0.92-py3-none-any.whl.metadata (9.9 kB)\n", "Requirement already satisfied: numexpr<3.0.0,>=2.8.4 in /opt/anaconda3/lib/python3.11/site-packages (from langchain==0.0.284) (2.8.7)\n", "Requirement already satisfied: numpy<2,>=1 in /opt/anaconda3/lib/python3.11/site-packages (from langchain==0.0.284) (1.26.4)\n", "Requirement already satisfied: pydantic<3,>=1 in /opt/anaconda3/lib/python3.11/site-packages (from langchain==0.0.284) (1.10.12)\n", "Requirement already satisfied: requests<3,>=2 in /opt/anaconda3/lib/python3.11/site-packages (from langchain==0.0.284) (2.31.0)\n", "Requirement already satisfied: tenacity<9.0.0,>=8.1.0 in /opt/anaconda3/lib/python3.11/site-packages (from langchain==0.0.284) (8.2.3)\n", "Requirement already satisfied: aiosignal>=1.1.2 in /opt/anaconda3/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain==0.0.284) (1.2.0)\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/anaconda3/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain==0.0.284) (23.1.0)\n", "Requirement already satisfied: frozenlist>=1.1.1 in /opt/anaconda3/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain==0.0.284) (1.4.0)\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/anaconda3/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain==0.0.284) (6.0.4)\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/anaconda3/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain==0.0.284) (1.9.3)\n", "Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /opt/anaconda3/lib/python3.11/site-packages (from dataclasses-json<0.6.0,>=0.5.7->langchain==0.0.284) (3.21.1)\n", "Requirement already satisfied: typing-inspect<1,>=0.4.0 in /opt/anaconda3/lib/python3.11/site-packages (from dataclasses-json<0.6.0,>=0.5.7->langchain==0.0.284) (0.9.0)\n", "Requirement already satisfied: typing-extensions>=4.2.0 in /opt/anaconda3/lib/python3.11/site-packages (from pydantic<3,>=1->langchain==0.0.284) (4.9.0)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /opt/anaconda3/lib/python3.11/site-packages (from requests<3,>=2->langchain==0.0.284) (2.0.4)\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/anaconda3/lib/python3.11/site-packages (from requests<3,>=2->langchain==0.0.284) (3.4)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/anaconda3/lib/python3.11/site-packages (from requests<3,>=2->langchain==0.0.284) (2.0.7)\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/anaconda3/lib/python3.11/site-packages (from requests<3,>=2->langchain==0.0.284) (2024.2.2)\n", "Requirement already satisfied: packaging>=17.0 in /opt/anaconda3/lib/python3.11/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses-json<0.6.0,>=0.5.7->langchain==0.0.284) (23.2)\n", "Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/anaconda3/lib/python3.11/site-packages (from typing-inspect<1,>=0.4.0->dataclasses-json<0.6.0,>=0.5.7->langchain==0.0.284) (1.0.0)\n", "Using cached langchain-0.0.284-py3-none-any.whl (1.7 MB)\n", "Using cached langsmith-0.0.92-py3-none-any.whl (56 kB)\n", "Installing collected packages: langsmith, langchain\n", " Attempting uninstall: langsmith\n", " Found existing installation: langsmith 0.1.42\n", " Uninstalling langsmith-0.1.42:\n", " Successfully uninstalled langsmith-0.1.42\n", " Attempting uninstall: langchain\n", " Found existing installation: langchain 0.1.15\n", " Uninstalling langchain-0.1.15:\n", " Successfully uninstalled langchain-0.1.15\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "langchain-community 0.0.32 requires langsmith<0.2.0,>=0.1.0, but you have langsmith 0.0.92 which is incompatible.\n", "langchain-core 0.1.41 requires langsmith<0.2.0,>=0.1.0, but you have langsmith 0.0.92 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed langchain-0.0.284 langsmith-0.0.92\n", "Requirement already satisfied: python-dotenv==1.0.0 in /opt/anaconda3/lib/python3.11/site-packages (1.0.0)\n", "Requirement already satisfied: streamlit==1.22.0 in /opt/anaconda3/lib/python3.11/site-packages (1.22.0)\n", "Requirement already satisfied: altair<5,>=3.2.0 in /opt/anaconda3/lib/python3.11/site-packages (from streamlit==1.22.0) (4.2.2)\n", "Requirement already satisfied: blinker>=1.0.0 in /opt/anaconda3/lib/python3.11/site-packages (from streamlit==1.22.0) (1.6.2)\n", "Requirement already satisfied: cachetools>=4.0 in /opt/anaconda3/lib/python3.11/site-packages (from 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"outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: langchain-experimental in /opt/homebrew/lib/python3.11/site-packages (0.0.57)\n", "Requirement already satisfied: langchain<0.2.0,>=0.1.15 in /opt/homebrew/lib/python3.11/site-packages (from langchain-experimental) (0.1.15)\n", "Requirement already satisfied: langchain-core<0.2.0,>=0.1.41 in /opt/homebrew/lib/python3.11/site-packages (from langchain-experimental) (0.1.41)\n", "Requirement already satisfied: PyYAML>=5.3 in /opt/homebrew/lib/python3.11/site-packages (from langchain<0.2.0,>=0.1.15->langchain-experimental) (6.0.1)\n", "Requirement already satisfied: SQLAlchemy<3,>=1.4 in /opt/homebrew/lib/python3.11/site-packages (from langchain<0.2.0,>=0.1.15->langchain-experimental) (2.0.29)\n", "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /opt/homebrew/lib/python3.11/site-packages (from langchain<0.2.0,>=0.1.15->langchain-experimental) (3.9.3)\n", "Requirement already 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typing-inspect<1,>=0.4.0->dataclasses-json<0.7,>=0.5.7->langchain<0.2.0,>=0.1.15->langchain-experimental) (1.0.0)\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install langchain-experimental" ] }, { "cell_type": "code", "execution_count": 19, "id": "d62b1b2a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: langchain in /opt/anaconda3/lib/python3.11/site-packages (0.0.284)\n", "Collecting langchain\n", " Using cached langchain-0.1.15-py3-none-any.whl.metadata (13 kB)\n", "Requirement already satisfied: PyYAML>=5.3 in /opt/anaconda3/lib/python3.11/site-packages (from langchain) (6.0.1)\n", "Requirement already satisfied: SQLAlchemy<3,>=1.4 in /opt/anaconda3/lib/python3.11/site-packages (from langchain) (2.0.25)\n", "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /opt/anaconda3/lib/python3.11/site-packages (from langchain) (3.9.3)\n", "Requirement already 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uninstall: langsmith\n", " Found existing installation: langsmith 0.0.92\n", " Uninstalling langsmith-0.0.92:\n", " Successfully uninstalled langsmith-0.0.92\n", " Attempting uninstall: langchain\n", " Found existing installation: langchain 0.0.284\n", " Uninstalling langchain-0.0.284:\n", " Successfully uninstalled langchain-0.0.284\n", "Successfully installed langchain-0.1.15 langsmith-0.1.42\n" ] } ], "source": [ "!pip install --upgrade langchain\n" ] }, { "cell_type": "code", "execution_count": 20, "id": "9646f79d", "metadata": {}, "outputs": [], "source": [ "from langchain.llms import GooglePalm\n", "\n", "api_key = 'AIzaSyBQq3ZOcO9IbL0AoxntEFplGlFn2wkwErs'\n", "\n", "llm = GooglePalm(google_api_key=api_key, temperature=0.2)" ] }, { "cell_type": "code", "execution_count": 21, "id": "7935edb8", "metadata": {}, "outputs": [], "source": [ "from langchain.utilities import SQLDatabase\n", "from langchain_experimental.sql import SQLDatabaseChain" ] }, { "cell_type": "code", "execution_count": 22, "id": "d6082e20", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: cryptography in /opt/anaconda3/lib/python3.11/site-packages (42.0.2)\r\n", "Requirement already satisfied: cffi>=1.12 in /opt/anaconda3/lib/python3.11/site-packages (from cryptography) (1.16.0)\r\n", "Requirement already satisfied: pycparser in /opt/anaconda3/lib/python3.11/site-packages (from cffi>=1.12->cryptography) (2.21)\r\n" ] } ], "source": [ "!pip install cryptography" ] }, { "cell_type": "code", "execution_count": 23, "id": "fe65c86f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: pymysql in /opt/anaconda3/lib/python3.11/site-packages (1.1.0)\r\n" ] } ], "source": [ "!pip install pymysql\n" ] }, { "cell_type": "code", "execution_count": 24, "id": "208f64ef", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "CREATE TABLE discounts (\n", "\tdiscount_id INTEGER NOT NULL AUTO_INCREMENT, \n", "\tt_shirt_id INTEGER NOT NULL, \n", "\tpct_discount DECIMAL(5, 2), \n", "\tPRIMARY KEY (discount_id), \n", "\tCONSTRAINT discounts_ibfk_1 FOREIGN KEY(t_shirt_id) REFERENCES t_shirts (t_shirt_id), \n", "\tCONSTRAINT discounts_chk_1 CHECK ((`pct_discount` between 0 and 100))\n", ")DEFAULT CHARSET=utf8mb4 ENGINE=InnoDB COLLATE utf8mb4_0900_ai_ci\n", "\n", "/*\n", "3 rows from discounts table:\n", "discount_id\tt_shirt_id\tpct_discount\n", "\n", "*/\n", "\n", "\n", "CREATE TABLE t_shirts (\n", "\tt_shirt_id INTEGER NOT NULL AUTO_INCREMENT, \n", "\tbrand ENUM('Van Huesen','Levi','Nike','Adidas') NOT NULL, \n", "\tcolor ENUM('Red','Blue','Black','White') NOT NULL, \n", "\tsize ENUM('XS','S','M','L','XL') NOT NULL, \n", "\tprice INTEGER, \n", "\tstock_quantity INTEGER NOT NULL, \n", "\tPRIMARY KEY (t_shirt_id), \n", "\tCONSTRAINT t_shirts_chk_1 CHECK ((`price` between 10 and 50))\n", ")DEFAULT CHARSET=utf8mb4 ENGINE=InnoDB COLLATE utf8mb4_0900_ai_ci\n", "\n", "/*\n", "3 rows from t_shirts table:\n", "t_shirt_id\tbrand\tcolor\tsize\tprice\tstock_quantity\n", "1\tLevi\tWhite\tL\t33\t85\n", "2\tLevi\tBlack\tL\t30\t64\n", "4\tNike\tWhite\tL\t45\t33\n", "*/\n" ] } ], "source": [ "from langchain.utilities import SQLDatabase\n", "db_user = \"root\"\n", "db_password = \"root\"\n", "db_host = \"localhost\"\n", "db_name = \"atliq_tshirts\"\n", "\n", "db = SQLDatabase.from_uri(f\"mysql+pymysql://{db_user}:{db_password}@{db_host}/{db_name}\",sample_rows_in_table_info=3)\n", "\n", "print(db.table_info)" ] }, { "cell_type": "code", "execution_count": 25, "id": "a03ced77", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: langchain in /opt/homebrew/lib/python3.11/site-packages (0.1.15)\n", "Requirement already satisfied: PyYAML>=5.3 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (6.0.1)\n", "Requirement already satisfied: SQLAlchemy<3,>=1.4 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (2.0.29)\n", "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (3.9.3)\n", "Requirement already satisfied: dataclasses-json<0.7,>=0.5.7 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (0.6.4)\n", "Requirement already satisfied: jsonpatch<2.0,>=1.33 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (1.33)\n", "Requirement already satisfied: langchain-community<0.1,>=0.0.32 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (0.0.32)\n", "Requirement already satisfied: langchain-core<0.2.0,>=0.1.41 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (0.1.41)\n", "Requirement already satisfied: langchain-text-splitters<0.1,>=0.0.1 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (0.0.1)\n", "Requirement already satisfied: langsmith<0.2.0,>=0.1.17 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (0.1.33)\n", "Requirement already satisfied: numpy<2,>=1 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (1.24.2)\n", "Requirement already satisfied: pydantic<3,>=1 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (2.6.4)\n", "Requirement already satisfied: requests<3,>=2 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (2.31.0)\n", "Requirement already satisfied: tenacity<9.0.0,>=8.1.0 in /opt/homebrew/lib/python3.11/site-packages (from langchain) (8.2.3)\n", "Requirement already satisfied: aiosignal>=1.1.2 in /opt/homebrew/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (1.3.1)\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/homebrew/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (23.2.0)\n", "Requirement already satisfied: frozenlist>=1.1.1 in /opt/homebrew/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (1.4.1)\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/homebrew/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (6.0.5)\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/homebrew/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (1.9.4)\n", "Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /opt/homebrew/lib/python3.11/site-packages (from dataclasses-json<0.7,>=0.5.7->langchain) (3.21.1)\n", "Requirement already satisfied: typing-inspect<1,>=0.4.0 in /opt/homebrew/lib/python3.11/site-packages (from dataclasses-json<0.7,>=0.5.7->langchain) (0.9.0)\n", "Requirement already satisfied: jsonpointer>=1.9 in /opt/homebrew/lib/python3.11/site-packages (from jsonpatch<2.0,>=1.33->langchain) (2.4)\n", "Requirement already satisfied: packaging<24.0,>=23.2 in /opt/homebrew/lib/python3.11/site-packages (from langchain-core<0.2.0,>=0.1.41->langchain) (23.2)\n", "Requirement already satisfied: orjson<4.0.0,>=3.9.14 in /opt/homebrew/lib/python3.11/site-packages (from langsmith<0.2.0,>=0.1.17->langchain) (3.9.15)\n", "Requirement already satisfied: annotated-types>=0.4.0 in /opt/homebrew/lib/python3.11/site-packages (from pydantic<3,>=1->langchain) (0.6.0)\n", "Requirement already satisfied: pydantic-core==2.16.3 in /opt/homebrew/lib/python3.11/site-packages (from pydantic<3,>=1->langchain) (2.16.3)\n", "Requirement already satisfied: typing-extensions>=4.6.1 in /opt/homebrew/lib/python3.11/site-packages (from pydantic<3,>=1->langchain) (4.10.0)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /opt/homebrew/lib/python3.11/site-packages (from requests<3,>=2->langchain) (3.3.2)\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/homebrew/lib/python3.11/site-packages (from requests<3,>=2->langchain) (3.6)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/homebrew/lib/python3.11/site-packages (from requests<3,>=2->langchain) (2.2.1)\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/homebrew/lib/python3.11/site-packages (from requests<3,>=2->langchain) (2024.2.2)\n", "Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/homebrew/lib/python3.11/site-packages (from typing-inspect<1,>=0.4.0->dataclasses-json<0.7,>=0.5.7->langchain) (1.0.0)\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install --upgrade langchain" ] }, { "cell_type": "code", "execution_count": 26, "id": "33282c4d", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/homebrew/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The function `__call__` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead.\n", " warn_deprecated(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new SQLDatabaseChain chain...\u001b[0m\n", "How many t-shirts do we have left for nike in extra small size and white color?\n", "SQLQuery:\u001b[32;1m\u001b[1;3mSELECT stock_quantity FROM t_shirts WHERE brand = 'Nike' AND color = 'White' AND size = 'XS'\u001b[0m\n", "SQLResult: \u001b[33;1m\u001b[1;3m\u001b[0m\n", "Answer:\u001b[32;1m\u001b[1;3m33\u001b[0m\n", "\u001b[1m> Finished chain.\u001b[0m\n" ] } ], "source": [ "from langchain_experimental.sql import SQLDatabaseChain\n", "db_chain = SQLDatabaseChain.from_llm(llm, db, verbose=True)\n", "qns1 = db_chain(\"How many t-shirts do we have left for nike in extra small size and white color?\")" ] }, { "cell_type": "code", "execution_count": 27, "id": "5657cded", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/homebrew/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The function `run` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead.\n", " warn_deprecated(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new SQLDatabaseChain chain...\u001b[0m\n", "How much is the price of the inventory for all small size t-shirts?\n", "SQLQuery:\u001b[32;1m\u001b[1;3mSELECT SUM(price) FROM t_shirts WHERE size = 'S'\u001b[0m\n", "SQLResult: \u001b[33;1m\u001b[1;3m[(Decimal('371'),)]\u001b[0m\n", "Answer:\u001b[32;1m\u001b[1;3m371\u001b[0m\n", "\u001b[1m> Finished chain.\u001b[0m\n" ] } ], "source": [ "qns2 = db_chain.run(\"How much is the price of the inventory for all small size t-shirts?\")" ] }, { "cell_type": "code", "execution_count": 28, "id": "d62f5642", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new SQLDatabaseChain chain...\u001b[0m\n", "SELECT SUM(price*stock_quantity) FROM t_shirts WHERE size = 'S'\n", "SQLQuery:\u001b[32;1m\u001b[1;3mSELECT SUM(price*stock_quantity) FROM t_shirts WHERE size = 'S'\u001b[0m\n", "SQLResult: \u001b[33;1m\u001b[1;3m[(Decimal('20416'),)]\u001b[0m\n", "Answer:\u001b[32;1m\u001b[1;3m20416\u001b[0m\n", "\u001b[1m> Finished chain.\u001b[0m\n" ] } ], "source": [ "qns2 = db_chain.run(\"SELECT SUM(price*stock_quantity) FROM t_shirts WHERE size = 'S'\")" ] }, { "cell_type": "code", "execution_count": 29, "id": "fdee16b1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new SQLDatabaseChain chain...\u001b[0m\n", "If we have to sell all the Levi’s T-shirts today with discounts applied. How much revenue our store will generate (post discounts)?\n", "SQLQuery:\u001b[32;1m\u001b[1;3mSELECT SUM(price - price * pct_discount) FROM t_shirts AS t JOIN discounts AS d ON t.t_shirt_id = d.t_shirt_id WHERE brand = 'Levi' AND CURDATE() BETWEEN d.start_date AND d.end_date\u001b[0m" ] }, { "ename": "OperationalError", "evalue": "(pymysql.err.OperationalError) (1054, \"Unknown column 'd.start_date' in 'where clause'\")\n[SQL: SELECT SUM(price - price * pct_discount) FROM t_shirts AS t JOIN discounts AS d ON t.t_shirt_id = d.t_shirt_id WHERE brand = 'Levi' AND CURDATE() BETWEEN d.start_date AND d.end_date]\n(Background on this error at: https://sqlalche.me/e/20/e3q8)", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mOperationalError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/sqlalchemy/engine/base.py:1971\u001b[0m, in \u001b[0;36mConnection._exec_single_context\u001b[0;34m(self, dialect, context, statement, parameters)\u001b[0m\n\u001b[1;32m 1970\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m evt_handled:\n\u001b[0;32m-> 1971\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 1972\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 1973\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1975\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", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/sqlalchemy/engine/default.py:919\u001b[0m, in \u001b[0;36mDefaultDialect.do_execute\u001b[0;34m(self, cursor, statement, parameters, context)\u001b[0m\n\u001b[1;32m 918\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--> 919\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\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/cursors.py:153\u001b[0m, in \u001b[0;36mCursor.execute\u001b[0;34m(self, query, args)\u001b[0m\n\u001b[1;32m 151\u001b[0m query \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmogrify(query, args)\n\u001b[0;32m--> 153\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_query\u001b[49m\u001b[43m(\u001b[49m\u001b[43mquery\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 154\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_executed \u001b[38;5;241m=\u001b[39m query\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/cursors.py:322\u001b[0m, in \u001b[0;36mCursor._query\u001b[0;34m(self, q)\u001b[0m\n\u001b[1;32m 321\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_clear_result()\n\u001b[0;32m--> 322\u001b[0m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mquery\u001b[49m\u001b[43m(\u001b[49m\u001b[43mq\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 323\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_do_get_result()\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/connections.py:558\u001b[0m, in \u001b[0;36mConnection.query\u001b[0;34m(self, sql, unbuffered)\u001b[0m\n\u001b[1;32m 557\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_execute_command(COMMAND\u001b[38;5;241m.\u001b[39mCOM_QUERY, sql)\n\u001b[0;32m--> 558\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_affected_rows \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_read_query_result\u001b[49m\u001b[43m(\u001b[49m\u001b[43munbuffered\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43munbuffered\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 559\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_affected_rows\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/connections.py:822\u001b[0m, in \u001b[0;36mConnection._read_query_result\u001b[0;34m(self, unbuffered)\u001b[0m\n\u001b[1;32m 821\u001b[0m result \u001b[38;5;241m=\u001b[39m MySQLResult(\u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m--> 822\u001b[0m \u001b[43mresult\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 823\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result \u001b[38;5;241m=\u001b[39m result\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/connections.py:1200\u001b[0m, in \u001b[0;36mMySQLResult.read\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1199\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1200\u001b[0m first_packet \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_read_packet\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1202\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m first_packet\u001b[38;5;241m.\u001b[39mis_ok_packet():\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/connections.py:772\u001b[0m, in \u001b[0;36mConnection._read_packet\u001b[0;34m(self, packet_type)\u001b[0m\n\u001b[1;32m 771\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result\u001b[38;5;241m.\u001b[39munbuffered_active \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m--> 772\u001b[0m \u001b[43mpacket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_for_error\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 773\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m packet\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/protocol.py:221\u001b[0m, in \u001b[0;36mMysqlPacket.raise_for_error\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 220\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124merrno =\u001b[39m\u001b[38;5;124m\"\u001b[39m, errno)\n\u001b[0;32m--> 221\u001b[0m \u001b[43merr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_mysql_exception\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_data\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/err.py:143\u001b[0m, in \u001b[0;36mraise_mysql_exception\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m 142\u001b[0m errorclass \u001b[38;5;241m=\u001b[39m InternalError \u001b[38;5;28;01mif\u001b[39;00m errno \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m1000\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m OperationalError\n\u001b[0;32m--> 143\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m errorclass(errno, errval)\n", "\u001b[0;31mOperationalError\u001b[0m: (1054, \"Unknown column 'd.start_date' in 'where clause'\")", "\nThe above exception was the direct cause of the following exception:\n", "\u001b[0;31mOperationalError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[29], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m qns3 \u001b[38;5;241m=\u001b[39m \u001b[43mdb_chain\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mIf we have to sell all the Levi’s T-shirts today with discounts applied. How much revenue our store will generate (post discounts)?\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:145\u001b[0m, in \u001b[0;36mdeprecated..deprecate..warning_emitting_wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 143\u001b[0m warned \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 144\u001b[0m emit_warning()\n\u001b[0;32m--> 145\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mwrapped\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain/chains/base.py:569\u001b[0m, in \u001b[0;36mChain.run\u001b[0;34m(self, callbacks, tags, metadata, *args, **kwargs)\u001b[0m\n\u001b[1;32m 567\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 568\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m`run` supports only one positional argument.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 569\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallbacks\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtags\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtags\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetadata\u001b[49m\u001b[43m)\u001b[49m[\n\u001b[1;32m 570\u001b[0m _output_key\n\u001b[1;32m 571\u001b[0m ]\n\u001b[1;32m 573\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m kwargs \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m args:\n\u001b[1;32m 574\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m(kwargs, callbacks\u001b[38;5;241m=\u001b[39mcallbacks, tags\u001b[38;5;241m=\u001b[39mtags, metadata\u001b[38;5;241m=\u001b[39mmetadata)[\n\u001b[1;32m 575\u001b[0m _output_key\n\u001b[1;32m 576\u001b[0m ]\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:145\u001b[0m, in \u001b[0;36mdeprecated..deprecate..warning_emitting_wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 143\u001b[0m warned \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 144\u001b[0m emit_warning()\n\u001b[0;32m--> 145\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mwrapped\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain/chains/base.py:378\u001b[0m, in \u001b[0;36mChain.__call__\u001b[0;34m(self, inputs, return_only_outputs, callbacks, tags, metadata, run_name, include_run_info)\u001b[0m\n\u001b[1;32m 346\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Execute the chain.\u001b[39;00m\n\u001b[1;32m 347\u001b[0m \n\u001b[1;32m 348\u001b[0m \u001b[38;5;124;03mArgs:\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 369\u001b[0m \u001b[38;5;124;03m `Chain.output_keys`.\u001b[39;00m\n\u001b[1;32m 370\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 371\u001b[0m config \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 372\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcallbacks\u001b[39m\u001b[38;5;124m\"\u001b[39m: callbacks,\n\u001b[1;32m 373\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtags\u001b[39m\u001b[38;5;124m\"\u001b[39m: tags,\n\u001b[1;32m 374\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmetadata\u001b[39m\u001b[38;5;124m\"\u001b[39m: metadata,\n\u001b[1;32m 375\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrun_name\u001b[39m\u001b[38;5;124m\"\u001b[39m: run_name,\n\u001b[1;32m 376\u001b[0m }\n\u001b[0;32m--> 378\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[43minvoke\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 379\u001b[0m \u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 380\u001b[0m \u001b[43m \u001b[49m\u001b[43mcast\u001b[49m\u001b[43m(\u001b[49m\u001b[43mRunnableConfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[43mk\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitems\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 381\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_only_outputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_only_outputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 382\u001b[0m \u001b[43m \u001b[49m\u001b[43minclude_run_info\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minclude_run_info\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 383\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain/chains/base.py:163\u001b[0m, in \u001b[0;36mChain.invoke\u001b[0;34m(self, input, config, **kwargs)\u001b[0m\n\u001b[1;32m 161\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[1;32m 162\u001b[0m run_manager\u001b[38;5;241m.\u001b[39mon_chain_error(e)\n\u001b[0;32m--> 163\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m 164\u001b[0m run_manager\u001b[38;5;241m.\u001b[39mon_chain_end(outputs)\n\u001b[1;32m 166\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m include_run_info:\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain/chains/base.py:153\u001b[0m, in \u001b[0;36mChain.invoke\u001b[0;34m(self, input, config, **kwargs)\u001b[0m\n\u001b[1;32m 150\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 151\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_validate_inputs(inputs)\n\u001b[1;32m 152\u001b[0m outputs \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m--> 153\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_manager\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 154\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m new_arg_supported\n\u001b[1;32m 155\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call(inputs)\n\u001b[1;32m 156\u001b[0m )\n\u001b[1;32m 158\u001b[0m final_outputs: Dict[\u001b[38;5;28mstr\u001b[39m, Any] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprep_outputs(\n\u001b[1;32m 159\u001b[0m inputs, outputs, return_only_outputs\n\u001b[1;32m 160\u001b[0m )\n\u001b[1;32m 161\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", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain_experimental/sql/base.py:204\u001b[0m, in \u001b[0;36mSQLDatabaseChain._call\u001b[0;34m(self, inputs, run_manager)\u001b[0m\n\u001b[1;32m 200\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[1;32m 201\u001b[0m \u001b[38;5;66;03m# Append intermediate steps to exception, to aid in logging and later\u001b[39;00m\n\u001b[1;32m 202\u001b[0m \u001b[38;5;66;03m# improvement of few shot prompt seeds\u001b[39;00m\n\u001b[1;32m 203\u001b[0m exc\u001b[38;5;241m.\u001b[39mintermediate_steps \u001b[38;5;241m=\u001b[39m intermediate_steps \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[0;32m--> 204\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain_experimental/sql/base.py:149\u001b[0m, in \u001b[0;36mSQLDatabaseChain._call\u001b[0;34m(self, inputs, run_manager)\u001b[0m\n\u001b[1;32m 147\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m SQL_RESULT \u001b[38;5;129;01min\u001b[39;00m sql_cmd:\n\u001b[1;32m 148\u001b[0m sql_cmd \u001b[38;5;241m=\u001b[39m sql_cmd\u001b[38;5;241m.\u001b[39msplit(SQL_RESULT)[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mstrip()\n\u001b[0;32m--> 149\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdatabase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43msql_cmd\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 150\u001b[0m intermediate_steps\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;28mstr\u001b[39m(result)) \u001b[38;5;66;03m# output: sql exec\u001b[39;00m\n\u001b[1;32m 151\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain_community/utilities/sql_database.py:498\u001b[0m, in \u001b[0;36mSQLDatabase.run\u001b[0;34m(self, command, fetch, include_columns, parameters, execution_options)\u001b[0m\n\u001b[1;32m 484\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrun\u001b[39m(\n\u001b[1;32m 485\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 486\u001b[0m command: Union[\u001b[38;5;28mstr\u001b[39m, Executable],\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 491\u001b[0m execution_options: Optional[Dict[\u001b[38;5;28mstr\u001b[39m, Any]] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 492\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Union[\u001b[38;5;28mstr\u001b[39m, Sequence[Dict[\u001b[38;5;28mstr\u001b[39m, Any]], Result[Any]]:\n\u001b[1;32m 493\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Execute a SQL command and return a string representing the results.\u001b[39;00m\n\u001b[1;32m 494\u001b[0m \n\u001b[1;32m 495\u001b[0m \u001b[38;5;124;03m If the statement returns rows, a string of the results is returned.\u001b[39;00m\n\u001b[1;32m 496\u001b[0m \u001b[38;5;124;03m If the statement returns no rows, an empty string is returned.\u001b[39;00m\n\u001b[1;32m 497\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 498\u001b[0m result \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\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 499\u001b[0m \u001b[43m \u001b[49m\u001b[43mcommand\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfetch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexecution_options\u001b[49m\n\u001b[1;32m 500\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 502\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m fetch \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcursor\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 503\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain_community/utilities/sql_database.py:463\u001b[0m, in \u001b[0;36mSQLDatabase._execute\u001b[0;34m(self, command, fetch, parameters, execution_options)\u001b[0m\n\u001b[1;32m 461\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 462\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQuery expression has unknown type: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(command)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 463\u001b[0m cursor \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\n\u001b[1;32m 464\u001b[0m \u001b[43m \u001b[49m\u001b[43mcommand\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 465\u001b[0m \u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 466\u001b[0m \u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexecution_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 467\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 469\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cursor\u001b[38;5;241m.\u001b[39mreturns_rows:\n\u001b[1;32m 470\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m fetch \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/sqlalchemy/engine/base.py:1422\u001b[0m, in \u001b[0;36mConnection.execute\u001b[0;34m(self, statement, parameters, execution_options)\u001b[0m\n\u001b[1;32m 1420\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 1421\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1422\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1423\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1424\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_parameters\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1425\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 1426\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/sqlalchemy/sql/elements.py:514\u001b[0m, in \u001b[0;36mClauseElement._execute_on_connection\u001b[0;34m(self, connection, distilled_params, execution_options)\u001b[0m\n\u001b[1;32m 512\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m TYPE_CHECKING:\n\u001b[1;32m 513\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--> 514\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 515\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 516\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 517\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 518\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/opt/homebrew/lib/python3.11/site-packages/sqlalchemy/engine/base.py:1644\u001b[0m, in \u001b[0;36mConnection._execute_clauseelement\u001b[0;34m(self, elem, distilled_parameters, execution_options)\u001b[0m\n\u001b[1;32m 1632\u001b[0m compiled_cache: Optional[CompiledCacheType] \u001b[38;5;241m=\u001b[39m execution_options\u001b[38;5;241m.\u001b[39mget(\n\u001b[1;32m 1633\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 1634\u001b[0m )\n\u001b[1;32m 1636\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 1637\u001b[0m dialect\u001b[38;5;241m=\u001b[39mdialect,\n\u001b[1;32m 1638\u001b[0m compiled_cache\u001b[38;5;241m=\u001b[39mcompiled_cache,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1642\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 1643\u001b[0m )\n\u001b[0;32m-> 1644\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 1645\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1646\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 1647\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1648\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_parameters\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1649\u001b[0m \u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1650\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1651\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_parameters\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1652\u001b[0m \u001b[43m \u001b[49m\u001b[43melem\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1653\u001b[0m \u001b[43m \u001b[49m\u001b[43mextracted_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1654\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 1655\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1656\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m has_events:\n\u001b[1;32m 1657\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 1658\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1659\u001b[0m elem,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1663\u001b[0m ret,\n\u001b[1;32m 1664\u001b[0m )\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/sqlalchemy/engine/base.py:1850\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 1848\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 1849\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1850\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 1851\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 1852\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/sqlalchemy/engine/base.py:1990\u001b[0m, in \u001b[0;36mConnection._exec_single_context\u001b[0;34m(self, dialect, context, statement, parameters)\u001b[0m\n\u001b[1;32m 1987\u001b[0m result \u001b[38;5;241m=\u001b[39m context\u001b[38;5;241m.\u001b[39m_setup_result_proxy()\n\u001b[1;32m 1989\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-> 1990\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 1991\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 1992\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1994\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/sqlalchemy/engine/base.py:2357\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 2355\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m should_wrap:\n\u001b[1;32m 2356\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m sqlalchemy_exception \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-> 2357\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m sqlalchemy_exception\u001b[38;5;241m.\u001b[39mwith_traceback(exc_info[\u001b[38;5;241m2\u001b[39m]) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[1;32m 2358\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 2359\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", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/sqlalchemy/engine/base.py:1971\u001b[0m, in \u001b[0;36mConnection._exec_single_context\u001b[0;34m(self, dialect, context, statement, parameters)\u001b[0m\n\u001b[1;32m 1969\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m 1970\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m evt_handled:\n\u001b[0;32m-> 1971\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 1972\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 1973\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1975\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 1976\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 1977\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1978\u001b[0m cursor,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1982\u001b[0m context\u001b[38;5;241m.\u001b[39mexecutemany,\n\u001b[1;32m 1983\u001b[0m )\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/sqlalchemy/engine/default.py:919\u001b[0m, in \u001b[0;36mDefaultDialect.do_execute\u001b[0;34m(self, cursor, statement, parameters, context)\u001b[0m\n\u001b[1;32m 918\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--> 919\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\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/cursors.py:153\u001b[0m, in \u001b[0;36mCursor.execute\u001b[0;34m(self, query, args)\u001b[0m\n\u001b[1;32m 149\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[1;32m 151\u001b[0m query \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmogrify(query, args)\n\u001b[0;32m--> 153\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_query\u001b[49m\u001b[43m(\u001b[49m\u001b[43mquery\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 154\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_executed \u001b[38;5;241m=\u001b[39m query\n\u001b[1;32m 155\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/cursors.py:322\u001b[0m, in \u001b[0;36mCursor._query\u001b[0;34m(self, q)\u001b[0m\n\u001b[1;32m 320\u001b[0m conn \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_db()\n\u001b[1;32m 321\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_clear_result()\n\u001b[0;32m--> 322\u001b[0m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mquery\u001b[49m\u001b[43m(\u001b[49m\u001b[43mq\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 323\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_do_get_result()\n\u001b[1;32m 324\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/connections.py:558\u001b[0m, in \u001b[0;36mConnection.query\u001b[0;34m(self, sql, unbuffered)\u001b[0m\n\u001b[1;32m 556\u001b[0m sql \u001b[38;5;241m=\u001b[39m sql\u001b[38;5;241m.\u001b[39mencode(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mencoding, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msurrogateescape\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 557\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_execute_command(COMMAND\u001b[38;5;241m.\u001b[39mCOM_QUERY, sql)\n\u001b[0;32m--> 558\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_affected_rows \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_read_query_result\u001b[49m\u001b[43m(\u001b[49m\u001b[43munbuffered\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43munbuffered\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 559\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_affected_rows\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/connections.py:822\u001b[0m, in \u001b[0;36mConnection._read_query_result\u001b[0;34m(self, unbuffered)\u001b[0m\n\u001b[1;32m 820\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 821\u001b[0m result \u001b[38;5;241m=\u001b[39m MySQLResult(\u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m--> 822\u001b[0m \u001b[43mresult\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 823\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result \u001b[38;5;241m=\u001b[39m result\n\u001b[1;32m 824\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m result\u001b[38;5;241m.\u001b[39mserver_status \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", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/connections.py:1200\u001b[0m, in \u001b[0;36mMySQLResult.read\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1198\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mread\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 1199\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1200\u001b[0m first_packet \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_read_packet\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1202\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m first_packet\u001b[38;5;241m.\u001b[39mis_ok_packet():\n\u001b[1;32m 1203\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_read_ok_packet(first_packet)\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/connections.py:772\u001b[0m, in \u001b[0;36mConnection._read_packet\u001b[0;34m(self, packet_type)\u001b[0m\n\u001b[1;32m 770\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result\u001b[38;5;241m.\u001b[39munbuffered_active \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m 771\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result\u001b[38;5;241m.\u001b[39munbuffered_active \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m--> 772\u001b[0m \u001b[43mpacket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_for_error\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 773\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m packet\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/protocol.py:221\u001b[0m, in \u001b[0;36mMysqlPacket.raise_for_error\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 219\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEBUG:\n\u001b[1;32m 220\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124merrno =\u001b[39m\u001b[38;5;124m\"\u001b[39m, errno)\n\u001b[0;32m--> 221\u001b[0m \u001b[43merr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_mysql_exception\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_data\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/pymysql/err.py:143\u001b[0m, in \u001b[0;36mraise_mysql_exception\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m errorclass \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 142\u001b[0m errorclass \u001b[38;5;241m=\u001b[39m InternalError \u001b[38;5;28;01mif\u001b[39;00m errno \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m1000\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m OperationalError\n\u001b[0;32m--> 143\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m errorclass(errno, errval)\n", "\u001b[0;31mOperationalError\u001b[0m: (pymysql.err.OperationalError) (1054, \"Unknown column 'd.start_date' in 'where clause'\")\n[SQL: SELECT SUM(price - price * pct_discount) FROM t_shirts AS t JOIN discounts AS d ON t.t_shirt_id = d.t_shirt_id WHERE brand = 'Levi' AND CURDATE() BETWEEN d.start_date AND d.end_date]\n(Background on this error at: https://sqlalche.me/e/20/e3q8)" ] } ], "source": [ "qns3 = db_chain.run(\"If we have to sell all the Levi’s T-shirts today with discounts applied. How much revenue our store will generate (post discounts)?\")" ] }, { "cell_type": "code", "execution_count": 30, "id": "0b83af50", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new SQLDatabaseChain chain...\u001b[0m\n", "\n", "select sum(a.total_amount * ((100-COALESCE(discounts.pct_discount,0))/100)) as total_revenue from\n", "(select sum(price*stock_quantity) as total_amount, t_shirt_id from t_shirts where brand = 'Levi'\n", "group by t_shirt_id) a left join discounts on a.t_shirt_id = discounts.t_shirt_id\n", " \n", "SQLQuery:\u001b[32;1m\u001b[1;3mselect sum(a.total_amount * ((100-COALESCE(discounts.pct_discount,0))/100)) as total_revenue from\n", "(select sum(price*stock_quantity) as total_amount, t_shirt_id from t_shirts where brand = 'Levi'\n", "group by t_shirt_id) a left join discounts on a.t_shirt_id = discounts.t_shirt_id\u001b[0m\n", "SQLResult: \u001b[33;1m\u001b[1;3m[(Decimal('26011.000000'),)]\u001b[0m\n", "Answer:\u001b[32;1m\u001b[1;3m26011\u001b[0m\n", "\u001b[1m> Finished chain.\u001b[0m\n" ] } ], "source": [ "sql_code = \"\"\"\n", "select sum(a.total_amount * ((100-COALESCE(discounts.pct_discount,0))/100)) as total_revenue from\n", "(select sum(price*stock_quantity) as total_amount, t_shirt_id from t_shirts where brand = 'Levi'\n", "group by t_shirt_id) a left join discounts on a.t_shirt_id = discounts.t_shirt_id\n", " \"\"\"\n", "\n", "qns3 = db_chain.run(sql_code)" ] }, { "cell_type": "code", "execution_count": 31, "id": "ff44165a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new SQLDatabaseChain chain...\u001b[0m\n", "SELECT SUM(price * stock_quantity) FROM t_shirts WHERE brand = 'Levi'\n", "SQLQuery:\u001b[32;1m\u001b[1;3mSELECT SUM(price * stock_quantity) FROM t_shirts WHERE brand = 'Levi'\u001b[0m\n", "SQLResult: \u001b[33;1m\u001b[1;3m[(Decimal('26011'),)]\u001b[0m\n", "Answer:\u001b[32;1m\u001b[1;3m26011\u001b[0m\n", "\u001b[1m> Finished chain.\u001b[0m\n" ] } ], "source": [ "qns4 = db_chain.run(\"SELECT SUM(price * stock_quantity) FROM t_shirts WHERE brand = 'Levi'\")" ] }, { "cell_type": "code", "execution_count": 32, "id": "c5342de7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new SQLDatabaseChain chain...\u001b[0m\n", "How many white color Levi's t shirts we have available?\n", "SQLQuery:\u001b[32;1m\u001b[1;3mSELECT stock_quantity FROM t_shirts WHERE brand = 'Levi' AND color = 'White'\u001b[0m\n", "SQLResult: \u001b[33;1m\u001b[1;3m[(40,), (85,), (36,)]\u001b[0m\n", "Answer:\u001b[32;1m\u001b[1;3m85\u001b[0m\n", "\u001b[1m> Finished chain.\u001b[0m\n" ] } ], "source": [ "qns5 = db_chain.run(\"How many white color Levi's t shirts we have available?\")" ] }, { "cell_type": "code", "execution_count": 33, "id": "e90098cc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new SQLDatabaseChain chain...\u001b[0m\n", "SELECT sum(stock_quantity) FROM t_shirts WHERE brand = 'Levi' AND color = 'White'\n", "SQLQuery:\u001b[32;1m\u001b[1;3mSELECT sum(stock_quantity) FROM t_shirts WHERE brand = 'Levi' AND color = 'White'\u001b[0m\n", "SQLResult: \u001b[33;1m\u001b[1;3m[(Decimal('161'),)]\u001b[0m\n", "Answer:\u001b[32;1m\u001b[1;3m161\u001b[0m\n", "\u001b[1m> Finished chain.\u001b[0m\n" ] } ], "source": [ "qns5 = db_chain.run(\"SELECT sum(stock_quantity) FROM t_shirts WHERE brand = 'Levi' AND color = 'White'\")" ] }, { "cell_type": "code", "execution_count": 34, "id": "dd3c1435", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new SQLDatabaseChain chain...\u001b[0m\n", "How many white color Adidias's t shirts we have available?\n", "SQLQuery:\u001b[32;1m\u001b[1;3mSELECT stock_quantity FROM t_shirts WHERE brand = 'Adidas' AND color = 'White'\u001b[0m\n", "SQLResult: \u001b[33;1m\u001b[1;3m[(78,), (41,), (48,), (28,)]\u001b[0m\n", "Answer:\u001b[32;1m\u001b[1;3m78\u001b[0m\n", "\u001b[1m> Finished chain.\u001b[0m\n" ] } ], "source": [ "qns6 = db_chain.run(\"How many white color Adidias's t shirts we have available?\")" ] }, { "cell_type": "code", "execution_count": 92, "id": "586bdc9e", "metadata": {}, "outputs": [], "source": [ "few_shots = [\n", " {'Question': \"How many t-shirts do we have left for levis in extra small size and white color?\",\n", " 'SQLQuery': \"SELECT sum(stock_quantity) FROM t_shirts WHERE brand = 'Nike' AND color = 'White' AND size = 'XS'\",\n", " 'SQLResult': \"Result of the SQL query\",\n", " 'Answer': qns1},\n", " {'Question': \"How much is the total price of the inventory for all S-size t-shirts?\",\n", " 'SQLQuery': \"SELECT SUM(price*stock_quantity) FROM t_shirts WHERE size = 'S'\",\n", " 'SQLResult': \"Result of the SQL query\",\n", " 'Answer': qns2},\n", " {'Question': \"If we have to sell all the Levi’s T-shirts today with discounts applied. How much revenue our \"\n", " \"store will generate (post discounts)?\",\n", " 'SQLQuery': \"SELECT sum(a.total_amount * ((100-COALESCE(discounts.pct_discount,0))/100)) as total_revenue from \"\n", " \"(select sum(price*stock_quantity) as total_amount, t_shirt_id from t_shirts where brand = 'Levi' group by \"\n", " \"t_shirt_id) a left join discounts on a.t_shirt_id = discounts.t_shirt_id\",\n", " 'SQLResult': \"Result of the SQL query\",\n", " 'Answer': qns3},\n", " {'Question': \"If we have to sell all the Levi’s T-shirts today. How much revenue our store will generate \"\n", " \"without discount?\",\n", " 'SQLQuery': \"SELECT SUM(price * stock_quantity) FROM t_shirts WHERE brand = 'Levi'\",\n", " 'SQLResult': \"Result of the SQL query\",\n", " 'Answer': qns4},\n", " {'Question': \"How many white color Levi's t-shirts we have available?\",\n", " 'SQLQuery': \"SELECT sum(stock_quantity) FROM t_shirts WHERE brand = 'Levi' AND color = 'White'\",\n", " 'SQLResult': \"Result of the SQL query\",\n", " 'Answer': qns5\n", " }\n", " ]" ] }, { "cell_type": "code", "execution_count": 93, "id": "866153aa", "metadata": {}, "outputs": [], "source": [ "from langchain.embeddings import HuggingFaceEmbeddings\n", "\n", "embeddings = HuggingFaceEmbeddings(model_name=\"sentence-transformers/all-mpnet-base-v2\")\n", "\n" ] }, { "cell_type": "code", "execution_count": 94, "id": "90d93642", "metadata": {}, "outputs": [], "source": [ "e = embeddings.embed_query(\"How many white color Levis shirt I have\")" ] }, { "cell_type": "code", "execution_count": 95, "id": "deae52a1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[-0.018134407699108124, 0.04963986575603485]" ] }, "execution_count": 95, "metadata": {}, "output_type": "execute_result" } ], "source": [ "e[:2]" ] }, { "cell_type": "code", "execution_count": 100, "id": "8103cdc8", "metadata": {}, "outputs": [], "source": [ "\n", "from langchain.llms import GooglePalm\n", "from langchain.utilities import SQLDatabase\n", "# from langchain_community.llms import GooglePalm\n", "# from langchain_community.utilities import SQLDatabase\n", "from langchain_experimental.sql import SQLDatabaseChain\n", "from langchain.prompts import SemanticSimilarityExampleSelector\n", "from langchain.embeddings import HuggingFaceEmbeddings\n", "from langchain.vectorstores import Chroma" ] }, { "cell_type": "code", "execution_count": 101, "id": "6edb79a5", "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "sequence item 3: expected str instance, dict found", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[101], line 8\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvectorstores\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Chroma\n\u001b[1;32m 6\u001b[0m embeddings \u001b[38;5;241m=\u001b[39m HuggingFaceEmbeddings(model_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msentence-transformers/all-MiniLM-L6-v2\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 8\u001b[0m to_vectorize \u001b[38;5;241m=\u001b[39m \u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m \u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexample\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mexample\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mfew_shots\u001b[49m\u001b[43m]\u001b[49m\n", "Cell \u001b[0;32mIn[101], line 8\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvectorstores\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Chroma\n\u001b[1;32m 6\u001b[0m embeddings \u001b[38;5;241m=\u001b[39m HuggingFaceEmbeddings(model_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msentence-transformers/all-MiniLM-L6-v2\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 8\u001b[0m to_vectorize \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m \u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexample\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m example \u001b[38;5;129;01min\u001b[39;00m few_shots]\n", "\u001b[0;31mTypeError\u001b[0m: sequence item 3: expected str instance, dict found" ] } ], "source": [ "from langchain.prompts import SemanticSimilarityExampleSelector\n", "from langchain.embeddings import HuggingFaceEmbeddings\n", "from langchain.vectorstores import Chroma\n", "\n", "\n", "embeddings = HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L6-v2')\n", "\n", "to_vectorize = [\" \".join(example.values()) for example in few_shots]" ] }, { "cell_type": "code", "execution_count": 98, "id": "a0dd3321", "metadata": {}, "outputs": [ { "ename": "ValueError", "evalue": "Expected metadata value to be a str, int, float or bool, got {'query': 'How many t-shirts do we have left for nike in extra small size and white color?', 'result': '33'} which is a \n\nTry filtering complex metadata from the document using langchain_community.vectorstores.utils.filter_complex_metadata.", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain_community/vectorstores/chroma.py:297\u001b[0m, in \u001b[0;36mChroma.add_texts\u001b[0;34m(self, texts, metadatas, ids, **kwargs)\u001b[0m\n\u001b[1;32m 296\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 297\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_collection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupsert\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 298\u001b[0m \u001b[43m \u001b[49m\u001b[43mmetadatas\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetadatas\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 299\u001b[0m \u001b[43m \u001b[49m\u001b[43membeddings\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43membeddings_with_metadatas\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 300\u001b[0m \u001b[43m \u001b[49m\u001b[43mdocuments\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtexts_with_metadatas\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 301\u001b[0m \u001b[43m \u001b[49m\u001b[43mids\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mids_with_metadata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 302\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 303\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/chromadb/api/models/Collection.py:295\u001b[0m, in \u001b[0;36mCollection.upsert\u001b[0;34m(self, ids, embeddings, metadatas, documents)\u001b[0m\n\u001b[1;32m 283\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Update the embeddings, metadatas or documents for provided ids, or create them if they don't exist.\u001b[39;00m\n\u001b[1;32m 284\u001b[0m \n\u001b[1;32m 285\u001b[0m \u001b[38;5;124;03mArgs:\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 292\u001b[0m \u001b[38;5;124;03m None\u001b[39;00m\n\u001b[1;32m 293\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m--> 295\u001b[0m ids, embeddings, metadatas, documents \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_embedding_set\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 296\u001b[0m \u001b[43m \u001b[49m\u001b[43mids\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43membeddings\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadatas\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdocuments\u001b[49m\n\u001b[1;32m 297\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 299\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_client\u001b[38;5;241m.\u001b[39m_upsert(\n\u001b[1;32m 300\u001b[0m collection_id\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mid,\n\u001b[1;32m 301\u001b[0m ids\u001b[38;5;241m=\u001b[39mids,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 304\u001b[0m documents\u001b[38;5;241m=\u001b[39mdocuments,\n\u001b[1;32m 305\u001b[0m )\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/chromadb/api/models/Collection.py:354\u001b[0m, in \u001b[0;36mCollection._validate_embedding_set\u001b[0;34m(self, ids, embeddings, metadatas, documents, require_embeddings_or_documents)\u001b[0m\n\u001b[1;32m 348\u001b[0m embeddings \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 349\u001b[0m validate_embeddings(maybe_cast_one_to_many(embeddings))\n\u001b[1;32m 350\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m embeddings \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[1;32m 351\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 352\u001b[0m )\n\u001b[1;32m 353\u001b[0m metadatas \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m--> 354\u001b[0m \u001b[43mvalidate_metadatas\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmaybe_cast_one_to_many\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmetadatas\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 355\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m metadatas \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[1;32m 356\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 357\u001b[0m )\n\u001b[1;32m 358\u001b[0m documents \u001b[38;5;241m=\u001b[39m maybe_cast_one_to_many(documents) \u001b[38;5;28;01mif\u001b[39;00m documents \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/chromadb/api/types.py:191\u001b[0m, in \u001b[0;36mvalidate_metadatas\u001b[0;34m(metadatas)\u001b[0m\n\u001b[1;32m 190\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m metadata \u001b[38;5;129;01min\u001b[39;00m metadatas:\n\u001b[0;32m--> 191\u001b[0m \u001b[43mvalidate_metadata\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 192\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m metadatas\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/chromadb/api/types.py:159\u001b[0m, in \u001b[0;36mvalidate_metadata\u001b[0;34m(metadata)\u001b[0m\n\u001b[1;32m 158\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(value, \u001b[38;5;28mbool\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(value, (\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;28mint\u001b[39m, \u001b[38;5;28mfloat\u001b[39m)):\n\u001b[0;32m--> 159\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 160\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mExpected metadata value to be a str, int, float or bool, got \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mvalue\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m which is a \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(value)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 161\u001b[0m )\n\u001b[1;32m 162\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m metadata\n", "\u001b[0;31mValueError\u001b[0m: Expected metadata value to be a str, int, float or bool, got {'query': 'How many t-shirts do we have left for nike in extra small size and white color?', 'result': '33'} which is a ", "\nDuring handling of the above exception, another exception occurred:\n", "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[98], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvectorstores\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Chroma\n\u001b[0;32m----> 3\u001b[0m vectorstore \u001b[38;5;241m=\u001b[39m \u001b[43mChroma\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_texts\u001b[49m\u001b[43m(\u001b[49m\u001b[43mto_vectorize\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43membeddings\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadatas\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfew_shots\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain_community/vectorstores/chroma.py:736\u001b[0m, in \u001b[0;36mChroma.from_texts\u001b[0;34m(cls, texts, embedding, metadatas, ids, collection_name, persist_directory, client_settings, client, collection_metadata, **kwargs)\u001b[0m\n\u001b[1;32m 728\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mchromadb\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbatch_utils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m create_batches\n\u001b[1;32m 730\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m batch \u001b[38;5;129;01min\u001b[39;00m create_batches(\n\u001b[1;32m 731\u001b[0m api\u001b[38;5;241m=\u001b[39mchroma_collection\u001b[38;5;241m.\u001b[39m_client,\n\u001b[1;32m 732\u001b[0m ids\u001b[38;5;241m=\u001b[39mids,\n\u001b[1;32m 733\u001b[0m metadatas\u001b[38;5;241m=\u001b[39mmetadatas,\n\u001b[1;32m 734\u001b[0m documents\u001b[38;5;241m=\u001b[39mtexts,\n\u001b[1;32m 735\u001b[0m ):\n\u001b[0;32m--> 736\u001b[0m \u001b[43mchroma_collection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_texts\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 737\u001b[0m \u001b[43m \u001b[49m\u001b[43mtexts\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbatch\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 738\u001b[0m \u001b[43m \u001b[49m\u001b[43mmetadatas\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbatch\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 739\u001b[0m \u001b[43m \u001b[49m\u001b[43mids\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbatch\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 740\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 741\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 742\u001b[0m chroma_collection\u001b[38;5;241m.\u001b[39madd_texts(texts\u001b[38;5;241m=\u001b[39mtexts, metadatas\u001b[38;5;241m=\u001b[39mmetadatas, ids\u001b[38;5;241m=\u001b[39mids)\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain_community/vectorstores/chroma.py:309\u001b[0m, in \u001b[0;36mChroma.add_texts\u001b[0;34m(self, texts, metadatas, ids, **kwargs)\u001b[0m\n\u001b[1;32m 304\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mExpected metadata value to be\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mstr\u001b[39m(e):\n\u001b[1;32m 305\u001b[0m msg \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 306\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTry filtering complex metadata from the document using \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 307\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlangchain_community.vectorstores.utils.filter_complex_metadata.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 308\u001b[0m )\n\u001b[0;32m--> 309\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(e\u001b[38;5;241m.\u001b[39margs[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m msg)\n\u001b[1;32m 310\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 311\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\n", "\u001b[0;31mValueError\u001b[0m: Expected metadata value to be a str, int, float or bool, got {'query': 'How many t-shirts do we have left for nike in extra small size and white color?', 'result': '33'} which is a \n\nTry filtering complex metadata from the document using langchain_community.vectorstores.utils.filter_complex_metadata." ] } ], "source": [ "from langchain.vectorstores import Chroma\n", "\n", "vectorstore = Chroma.from_texts(to_vectorize, embeddings, metadatas=few_shots)" ] }, { "cell_type": "code", "execution_count": 85, "id": "9f879ed3", "metadata": {}, "outputs": [ { "ename": "AttributeError", "evalue": "'dict' object has no attribute 'metadata'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[85], line 5\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain_community\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvectorstores\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m filter_complex_metadata\n\u001b[1;32m 4\u001b[0m \u001b[38;5;66;03m# Filter out complex metadata\u001b[39;00m\n\u001b[0;32m----> 5\u001b[0m filtered_metadata \u001b[38;5;241m=\u001b[39m \u001b[43mfilter_complex_metadata\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfew_shots\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m# Use the filtered metadata in the Chroma.from_texts() method\u001b[39;00m\n\u001b[1;32m 8\u001b[0m vectorstore \u001b[38;5;241m=\u001b[39m Chroma\u001b[38;5;241m.\u001b[39mfrom_texts(to_vectorize, embeddings, metadatas\u001b[38;5;241m=\u001b[39mfiltered_metadata)\n", "File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/langchain_community/vectorstores/utils.py:66\u001b[0m, in \u001b[0;36mfilter_complex_metadata\u001b[0;34m(documents, allowed_types)\u001b[0m\n\u001b[1;32m 64\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m document \u001b[38;5;129;01min\u001b[39;00m documents:\n\u001b[1;32m 65\u001b[0m filtered_metadata \u001b[38;5;241m=\u001b[39m {}\n\u001b[0;32m---> 66\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m key, value \u001b[38;5;129;01min\u001b[39;00m \u001b[43mdocument\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241m.\u001b[39mitems():\n\u001b[1;32m 67\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(value, allowed_types):\n\u001b[1;32m 68\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n", "\u001b[0;31mAttributeError\u001b[0m: 'dict' object has no attribute 'metadata'" ] } ], "source": [ "from langchain.vectorstores import Chroma\n", "from langchain_community.vectorstores.utils import filter_complex_metadata\n", "\n", "# Filter out complex metadata\n", "filtered_metadata = filter_complex_metadata(few_shots)\n", "\n", "# Use the filtered metadata in the Chroma.from_texts() method\n", "vectorstore = Chroma.from_texts(to_vectorize, embeddings, metadatas=filtered_metadata)\n" ] }, { "cell_type": "code", "execution_count": 79, "id": "d69c7174", "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'vectorstore' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[79], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mprompts\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m SemanticSimilarityExampleSelector\n\u001b[1;32m 2\u001b[0m example_selector \u001b[38;5;241m=\u001b[39m SemanticSimilarityExampleSelector(\n\u001b[0;32m----> 3\u001b[0m vectorstore\u001b[38;5;241m=\u001b[39m\u001b[43mvectorstore\u001b[49m,\n\u001b[1;32m 4\u001b[0m k\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m,\n\u001b[1;32m 5\u001b[0m )\n\u001b[1;32m 7\u001b[0m example_selector\u001b[38;5;241m.\u001b[39mselect_examples({\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQuestion\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mHow many Adidas T shirts I have left in my store?\u001b[39m\u001b[38;5;124m\"\u001b[39m})\n", "\u001b[0;31mNameError\u001b[0m: name 'vectorstore' is not defined" ] } ], "source": [ "from langchain.prompts import SemanticSimilarityExampleSelector\n", "example_selector = SemanticSimilarityExampleSelector(\n", " vectorstore=vectorstore,\n", " k=2,\n", ")\n", "\n", "example_selector.select_examples({\"Question\": \"How many Adidas T shirts I have left in my store?\"})" ] }, { "cell_type": "code", "execution_count": 57, "id": "ada6d748", "metadata": {}, "outputs": [], "source": [ "mysql_prompt = \"\"\"You are a MySQL expert. Given an input question, first create a syntactically correct MySQL query to run, then look at the results of the query and return the answer to the input question.\n", "Unless the user specifies in the question a specific number of examples to obtain, query for at most {top_k} results using the LIMIT clause as per MySQL. You can order the results to return the most informative data in the database.\n", "Never query for all columns from a table. You must query only the columns that are needed to answer the question. Wrap each column name in backticks (`) to denote them as delimited identifiers.\n", "Pay attention to use only the column names you can see in the tables below. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which table.\n", "Pay attention to use CURDATE() function to get the current date, if the question involves \"today\".\n", "\n", "Use the following format:\n", "\n", "Question: Question here\n", "SQLQuery: Query to run with no pre-amble\n", "SQLResult: Result of the SQLQuery\n", "Answer: Final answer here\n", "\n", "No pre-amble.\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": 58, "id": "c445a4e3", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Only use the following tables:\n", "{table_info}\n", "\n", "Question: {input}\n" ] } ], "source": [ "from langchain.prompts import FewShotPromptTemplate\n", "from langchain.chains.sql_database.prompt import PROMPT_SUFFIX, _mysql_prompt\n", "\n", "print(PROMPT_SUFFIX)" ] }, { "cell_type": "code", "execution_count": 59, "id": "7a2cf6fc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "You are a MySQL expert. Given an input question, first create a syntactically correct MySQL query to run, then look at the results of the query and return the answer to the input question.\n", "Unless the user specifies in the question a specific number of examples to obtain, query for at most {top_k} results using the LIMIT clause as per MySQL. You can order the results to return the most informative data in the database.\n", "Never query for all columns from a table. You must query only the columns that are needed to answer the question. Wrap each column name in backticks (`) to denote them as delimited identifiers.\n", "Pay attention to use only the column names you can see in the tables below. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which table.\n", "Pay attention to use CURDATE() function to get the current date, if the question involves \"today\".\n", "\n", "Use the following format:\n", "\n", "Question: Question here\n", "SQLQuery: Query to run with no pre-amble\n", "SQLResult: Result of the SQLQuery\n", "Answer: Final answer here\n", "\n", "No pre-amble.\n", "\n" ] } ], "source": [ "print(mysql_prompt)" ] }, { "cell_type": "code", "execution_count": 60, "id": "b72574a5", "metadata": {}, "outputs": [], "source": [ "from langchain.prompts.prompt import PromptTemplate\n", "\n", "example_prompt = PromptTemplate(\n", " input_variables=[\"Question\", \"SQLQuery\", \"SQLResult\",\"Answer\",],\n", " template=\"\\nQuestion: {Question}\\nSQLQuery: {SQLQuery}\\nSQLResult: {SQLResult}\\nAnswer: {Answer}\",\n", ")" ] }, { "cell_type": "code", "execution_count": 61, "id": "851c9eda", "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'example_selector' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[61], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m few_shot_prompt \u001b[38;5;241m=\u001b[39m FewShotPromptTemplate(\n\u001b[0;32m----> 2\u001b[0m example_selector\u001b[38;5;241m=\u001b[39m\u001b[43mexample_selector\u001b[49m,\n\u001b[1;32m 3\u001b[0m example_prompt\u001b[38;5;241m=\u001b[39mexample_prompt,\n\u001b[1;32m 4\u001b[0m prefix\u001b[38;5;241m=\u001b[39mmysql_prompt,\n\u001b[1;32m 5\u001b[0m suffix\u001b[38;5;241m=\u001b[39mPROMPT_SUFFIX,\n\u001b[1;32m 6\u001b[0m input_variables\u001b[38;5;241m=\u001b[39m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minput\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtable_info\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtop_k\u001b[39m\u001b[38;5;124m\"\u001b[39m], \u001b[38;5;66;03m#These variables are used in the prefix and suffix\u001b[39;00m\n\u001b[1;32m 7\u001b[0m )\n", "\u001b[0;31mNameError\u001b[0m: name 'example_selector' is not defined" ] } ], "source": [ "few_shot_prompt = FewShotPromptTemplate(\n", " example_selector=example_selector,\n", " example_prompt=example_prompt,\n", " prefix=mysql_prompt,\n", " suffix=PROMPT_SUFFIX,\n", " input_variables=[\"input\", \"table_info\", \"top_k\"], #These variables are used in the prefix and suffix\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "5760cbf1", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.8" } }, "nbformat": 4, "nbformat_minor": 5 }