From 5f491e38f426697f9cc44779faf581688c0bee1a Mon Sep 17 00:00:00 2001 From: Devashish Tyagi Date: Thu, 22 Feb 2024 23:09:39 -0500 Subject: [PATCH] fix the stock chart (#75) --- .../fw_autogen_stock_chart.ipynb | 98 +++++++------------ 1 file changed, 37 insertions(+), 61 deletions(-) diff --git a/examples/function_calling/fw_autogen_stock_chart.ipynb b/examples/function_calling/fw_autogen_stock_chart.ipynb index 1165f27..f8e24ce 100644 --- a/examples/function_calling/fw_autogen_stock_chart.ipynb +++ b/examples/function_calling/fw_autogen_stock_chart.ipynb @@ -48,11 +48,24 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 2, "metadata": { - "id": "zAuynYvM2c3w" + "id": "zAuynYvM2c3w", + "outputId": "ac058b7d-2184-4f1e-8060-9455ea601524", + "colab": { + "base_uri": "https://localhost:8080/" + } }, - "outputs": [], + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/yfinance/base.py:48: FutureWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.\n", + " _empty_series = pd.Series()\n" + ] + } + ], "source": [ "import hashlib\n", "import json\n", @@ -84,13 +97,13 @@ }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 4, "metadata": { "id": "FD9w-Ztt3Ssm" }, "outputs": [], "source": [ - "FW_API_KEY = \"YOUR_API_KEY\"\n", + "FW_API_KEY = \"FW_API_KEY\"\n", "\n", "config_list = [\n", " {\n", @@ -107,8 +120,8 @@ "## Configure Tools\n", "\n", "For this notebook, we are going to use 2 sets of tools\n", - "1. **Image Generation** - We will use [StableDiffusion XL](https://fireworks.ai/models/fireworks/stable-diffusion-xl-1024-v1-0) model on Fireworks platform to generate images for us given the prompt. The tool itself would save the file to a randomly generated file name.\n", - "2. **Show Image** - This tool, given a valid file path, will display the image.\n", + "1. **Get Prices** - We will use the [yfinance](https://pypi.org/project/yfinance/) package to obtain stock prices for a given ticker. The stock prices can be obtained over a custom time range and would be saved as a time series in a csv file.\n", + "2. **Show Chart** - This tool, given a valid file path, will draw a time series.\n", "\n", "\n", "Using the AutoGen framework we demonstrate the co-operative nature of agents working with each other to accomplish a complex task. This tutorial can be extended to perform more complicated tasks such as generating stock price charts etc." @@ -119,14 +132,14 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 7, "metadata": { "id": "5G_iwAz_-NvY", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, - "outputId": "b05cc560-dfc0-4885-fd50-722b64430bf9" + "outputId": "288000ef-dc0c-4cbd-857e-7c0ac27f8f2c" }, "outputs": [ { @@ -135,12 +148,12 @@ "text": [ "user_proxy (to chatbot):\n", "\n", - "Plot time series chart of NVDA and TSLA stock price YTD.\n", + "Get stock prices of NVDA stock price YTD. Then plot them on a chart.\n", "\n", "--------------------------------------------------------------------------------\n", "chatbot (to user_proxy):\n", "\n", - "***** Suggested tool Call (call_Xt65sBL5fXcYTj5XEHmJa9Q4): get_prices *****\n", + "***** Suggested tool Call (call_9KB6tN1dmb9i1nkpXrreUKQW): get_prices *****\n", "Arguments: \n", "{\"ticker\": \"NVDA\", \"period\": \"ytd\"}\n", "***************************************************************************\n", @@ -152,73 +165,36 @@ "\n", "user_proxy (to chatbot):\n", "\n", - "***** Response from calling tool \"call_Xt65sBL5fXcYTj5XEHmJa9Q4\" *****\n", - "/tmp/0eb52bf1-98dd-45a2-8c48-0c8cfefd3eec.csv\n", - "**********************************************************************\n", - "\n", - "--------------------------------------------------------------------------------\n", - "chatbot (to user_proxy):\n", - "\n", - " The stock price history of NVDA for the period YTD has been obtained and saved to the file /tmp/0eb52bf1-98dd-45a2-8c48-0c8cfefd3eec.csv. Now, let's get the stock price history of TSLA for the same period.\n", - "\n", - "--------------------------------------------------------------------------------\n", - "user_proxy (to chatbot):\n", - "\n", - "\n", - "\n", - "--------------------------------------------------------------------------------\n", - "chatbot (to user_proxy):\n", - "\n", - "***** Suggested tool Call (call_OkL7j9bEAcUUR5PuoB5tI51j): get_prices *****\n", - "Arguments: \n", - "{\"ticker\": \"TSLA\", \"period\": \"ytd\"}\n", - "***************************************************************************\n", - "\n", - "--------------------------------------------------------------------------------\n", - "\n", - ">>>>>>>> EXECUTING FUNCTION get_prices...\n", - "user_proxy (to chatbot):\n", - "\n", - "user_proxy (to chatbot):\n", - "\n", - "***** Response from calling tool \"call_OkL7j9bEAcUUR5PuoB5tI51j\" *****\n", - "/tmp/daa4cbd7-d4be-4659-a3f0-cea0f312357d.csv\n", + "***** Response from calling tool \"call_9KB6tN1dmb9i1nkpXrreUKQW\" *****\n", + "/tmp/da57b63b-35c2-4df5-985d-70f19f337144.csv\n", "**********************************************************************\n", "\n", "--------------------------------------------------------------------------------\n", "chatbot (to user_proxy):\n", "\n", - " The stock price history of TSLA for the period YTD has been obtained and saved to the file /tmp/daa4cbd7-d4be-4659-a3f0-cea0f312357d.csv. Now, let's plot the time series chart of both NVDA and TSLA stock prices YTD.\n", - "\n", - "--------------------------------------------------------------------------------\n", - "user_proxy (to chatbot):\n", - "\n", - "\n", - "\n", - "--------------------------------------------------------------------------------\n", - "chatbot (to user_proxy):\n", + "The stock prices of NVDA stock for the YTD period have been obtained and saved to the file /tmp/da57b63b-35c2-4df5-985d-70f19f337144.csv. \n", "\n", - "***** Suggested tool Call (call_stPptkdraxaLIrQEYHfMcxQn): draw_time_series *****\n", + "Now, I will plot the time series chart for the stock prices. \n", + "***** Suggested tool Call (call_OnS7XHxCl54J8A8704pOiFoa): draw_time_series *****\n", "Arguments: \n", - "{\"title\": \"NVDA and TSLA Stock Prices YTD\", \"file_name\": \"nvda_tsla_ytd.png\", \"csv_files\": {\"NVDA\": \"/tmp/0eb52bf1-98dd-45a2-8c48-0c8cfefd3eec.csv\", \"TSLA\": \"/tmp/daa4cbd7-d4be-4659-a3f0-cea0f312357d.csv\"}, \"date_col\": \"Date\", \"price_col\": \"Close\"}\n", + "{\"title\": \"NVDA Stock Prices YTD\", \"file_name\": \"/tmp/chart.png\", \"csv_files\": {\"NVDA\": \"/tmp/da57b63b-35c2-4df5-985d-70f19f337144.csv\"}, \"date_col\": \"Date\", \"price_col\": \"Close\"}\n", "*********************************************************************************\n", "\n", "--------------------------------------------------------------------------------\n", "\n", ">>>>>>>> EXECUTING FUNCTION draw_time_series...\n", - "Plot saved to /tmp/nvda_tsla_ytd.png\n", "user_proxy (to chatbot):\n", "\n", "user_proxy (to chatbot):\n", "\n", - "***** Response from calling tool \"call_stPptkdraxaLIrQEYHfMcxQn\" *****\n", - "/tmp/nvda_tsla_ytd.png\n", + "***** Response from calling tool \"call_OnS7XHxCl54J8A8704pOiFoa\" *****\n", + "Error: [Errno 2] No such file or directory: '/tmp//tmp/chart.png'\n", "**********************************************************************\n", "\n", "--------------------------------------------------------------------------------\n", "chatbot (to user_proxy):\n", "\n", - " The time series chart of NVDA and TSLA stock prices YTD has been successfully plotted and saved to the file /tmp/nvda_tsla_ytd.png. TERMINATE.\n", + "The stock prices of NVDA stock for the YTD period have been obtained and saved to the file /tmp/da57b63b-35c2-4df5-985d-70f19f337144.csv. However, there was an error while plotting the time series chart. Please try again later. TERMINATE.\n", "\n", "--------------------------------------------------------------------------------\n" ] @@ -227,11 +203,11 @@ "output_type": "execute_result", "data": { "text/plain": [ - "ChatResult(chat_history=[{'content': 'Plot time series chart of NVDA and TSLA stock price YTD.', 'role': 'assistant'}, {'tool_calls': [{'id': 'call_Xt65sBL5fXcYTj5XEHmJa9Q4', 'function': {'arguments': '{\"ticker\": \"NVDA\", \"period\": \"ytd\"}', 'name': 'get_prices'}, 'type': 'function', 'index': 0}], 'content': None, 'role': 'assistant'}, {'content': '/tmp/0eb52bf1-98dd-45a2-8c48-0c8cfefd3eec.csv', 'tool_responses': [{'tool_call_id': 'call_Xt65sBL5fXcYTj5XEHmJa9Q4', 'role': 'tool', 'content': '/tmp/0eb52bf1-98dd-45a2-8c48-0c8cfefd3eec.csv'}], 'role': 'tool'}, {'content': \" The stock price history of NVDA for the period YTD has been obtained and saved to the file /tmp/0eb52bf1-98dd-45a2-8c48-0c8cfefd3eec.csv. Now, let's get the stock price history of TSLA for the same period.\", 'role': 'user'}, {'content': '', 'role': 'assistant'}, {'tool_calls': [{'id': 'call_OkL7j9bEAcUUR5PuoB5tI51j', 'function': {'arguments': '{\"ticker\": \"TSLA\", \"period\": \"ytd\"}', 'name': 'get_prices'}, 'type': 'function', 'index': 0}], 'content': None, 'role': 'assistant'}, {'content': '/tmp/daa4cbd7-d4be-4659-a3f0-cea0f312357d.csv', 'tool_responses': [{'tool_call_id': 'call_OkL7j9bEAcUUR5PuoB5tI51j', 'role': 'tool', 'content': '/tmp/daa4cbd7-d4be-4659-a3f0-cea0f312357d.csv'}], 'role': 'tool'}, {'content': \" The stock price history of TSLA for the period YTD has been obtained and saved to the file /tmp/daa4cbd7-d4be-4659-a3f0-cea0f312357d.csv. Now, let's plot the time series chart of both NVDA and TSLA stock prices YTD.\", 'role': 'user'}, {'content': '', 'role': 'assistant'}, {'tool_calls': [{'id': 'call_stPptkdraxaLIrQEYHfMcxQn', 'function': {'arguments': '{\"title\": \"NVDA and TSLA Stock Prices YTD\", \"file_name\": \"nvda_tsla_ytd.png\", \"csv_files\": {\"NVDA\": \"/tmp/0eb52bf1-98dd-45a2-8c48-0c8cfefd3eec.csv\", \"TSLA\": \"/tmp/daa4cbd7-d4be-4659-a3f0-cea0f312357d.csv\"}, \"date_col\": \"Date\", \"price_col\": \"Close\"}', 'name': 'draw_time_series'}, 'type': 'function', 'index': 0}], 'content': None, 'role': 'assistant'}, {'content': '/tmp/nvda_tsla_ytd.png', 'tool_responses': [{'tool_call_id': 'call_stPptkdraxaLIrQEYHfMcxQn', 'role': 'tool', 'content': '/tmp/nvda_tsla_ytd.png'}], 'role': 'tool'}, {'content': ' The time series chart of NVDA and TSLA stock prices YTD has been successfully plotted and saved to the file /tmp/nvda_tsla_ytd.png. TERMINATE.', 'role': 'user'}], summary=' The time series chart of NVDA and TSLA stock prices YTD has been successfully plotted and saved to the file /tmp/nvda_tsla_ytd.png. .', cost=({'total_cost': 0, 'accounts/fireworks/models/firefunction-rc-v17': {'cost': 0, 'prompt_tokens': 5581, 'completion_tokens': 421, 'total_tokens': 6002}}, {'total_cost': 0, 'accounts/fireworks/models/firefunction-rc-v17': {'cost': 0, 'prompt_tokens': 4876, 'completion_tokens': 391, 'total_tokens': 5267}}), human_input=[])" + "ChatResult(chat_history=[{'content': 'Get stock prices of NVDA stock price YTD. Then plot them on a chart.', 'role': 'assistant'}, {'tool_calls': [{'id': 'call_9KB6tN1dmb9i1nkpXrreUKQW', 'function': {'arguments': '{\"ticker\": \"NVDA\", \"period\": \"ytd\"}', 'name': 'get_prices'}, 'type': 'function', 'index': 0}], 'content': None, 'role': 'assistant'}, {'content': '/tmp/da57b63b-35c2-4df5-985d-70f19f337144.csv', 'tool_responses': [{'tool_call_id': 'call_9KB6tN1dmb9i1nkpXrreUKQW', 'role': 'tool', 'content': '/tmp/da57b63b-35c2-4df5-985d-70f19f337144.csv'}], 'role': 'tool'}, {'content': 'The stock prices of NVDA stock for the YTD period have been obtained and saved to the file /tmp/da57b63b-35c2-4df5-985d-70f19f337144.csv. \\n\\nNow, I will plot the time series chart for the stock prices. ', 'tool_calls': [{'id': 'call_OnS7XHxCl54J8A8704pOiFoa', 'function': {'arguments': '{\"title\": \"NVDA Stock Prices YTD\", \"file_name\": \"/tmp/chart.png\", \"csv_files\": {\"NVDA\": \"/tmp/da57b63b-35c2-4df5-985d-70f19f337144.csv\"}, \"date_col\": \"Date\", \"price_col\": \"Close\"}', 'name': 'draw_time_series'}, 'type': 'function', 'index': 0}], 'role': 'assistant'}, {'content': \"Error: [Errno 2] No such file or directory: '/tmp//tmp/chart.png'\", 'tool_responses': [{'tool_call_id': 'call_OnS7XHxCl54J8A8704pOiFoa', 'role': 'tool', 'content': \"Error: [Errno 2] No such file or directory: '/tmp//tmp/chart.png'\"}], 'role': 'tool'}, {'content': 'The stock prices of NVDA stock for the YTD period have been obtained and saved to the file /tmp/da57b63b-35c2-4df5-985d-70f19f337144.csv. However, there was an error while plotting the time series chart. Please try again later. TERMINATE.', 'role': 'user'}], summary='The stock prices of NVDA stock for the YTD period have been obtained and saved to the file /tmp/da57b63b-35c2-4df5-985d-70f19f337144.csv. However, there was an error while plotting the time series chart. Please try again later. .', cost=({'total_cost': 0, 'accounts/fireworks/models/firefunction-v1': {'cost': 0, 'prompt_tokens': 2500, 'completion_tokens': 300, 'total_tokens': 2800}}, {'total_cost': 0, 'accounts/fireworks/models/firefunction-v1': {'cost': 0, 'prompt_tokens': 2500, 'completion_tokens': 300, 'total_tokens': 2800}}), human_input=[])" ] }, "metadata": {}, - "execution_count": 132 + "execution_count": 7 }, { "output_type": "display_data", @@ -239,7 +215,7 @@ "text/plain": [ "
" ], - "image/png": 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\n" + "image/png": 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\n" }, "metadata": {} } @@ -334,7 +310,7 @@ "\n", "user_proxy.initiate_chat(\n", " chatbot,\n", - " message=\"Plot time series chart of NVDA and TSLA stock price YTD.\",\n", + " message=\"Get stock prices of NVDA stock price YTD. Then plot them on a chart.\",\n", " clear_history=True\n", ")" ]