mirror of
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7ddb171cd9
* autogen.agent -> autogen.agentchat * bug fix in portfolio * notebook * timeout * timeout * infer lang; close #1150 * timeout * message context * context handling * add sender to generate_reply * clean up the receive function * move mathchat to contrib * contrib * last_message
1002 lines
288 KiB
Plaintext
1002 lines
288 KiB
Plaintext
{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<a href=\"https://colab.research.google.com/github/microsoft/FLAML/blob/main/notebook/autogen_agentchat_auto_feedback_from_code_execution.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"# Auto Generated Agent Chat: Task Solving with Code Generation, Execution & Debugging\n",
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"\n",
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"FLAML offers an experimental feature of interactive LLM agents, which can be used to solve various tasks with human or automatic feedback, including tasks that require using tools via code.\n",
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"Please find documentation about this feature [here](https://microsoft.github.io/FLAML/docs/Use-Cases/Auto-Generation#agents-experimental).\n",
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"\n",
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"In this notebook, we demonstrate how to use `AssistantAgent` and `UserProxyAgent` to write code and execute the code. Here `AssistantAgent` is an LLM-based agent that can write Python code (in a Python coding block) for a user to execute for a given task. `UserProxyAgent` is an agent which serves as a proxy for the human user to execute the code written by `AssistantAgent`, or automatically execute the code. Depending on the setting of `human_input_mode` and `max_consecutive_auto_reply`, the `UserProxyAgent` either solicits feedback from the human user or returns auto-feedback based on the result of code execution (success or failure and corresponding outputs) to `AssistantAgent`. `AssistantAgent` will debug the code and suggest new code if the result contains error. The two agents keep communicating to each other until the task is done.\n",
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"\n",
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"## Requirements\n",
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"\n",
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"FLAML requires `Python>=3.8`. To run this notebook example, please install flaml with the [autogen] option:\n",
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"```bash\n",
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"pip install flaml[autogen]\n",
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"```"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-02-13T23:40:52.317406Z",
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"iopub.status.busy": "2023-02-13T23:40:52.316561Z",
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"iopub.status.idle": "2023-02-13T23:40:52.321193Z",
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"shell.execute_reply": "2023-02-13T23:40:52.320628Z"
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}
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},
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"outputs": [],
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"source": [
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"# %pip install flaml[autogen]~=2.0.0rc4"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Set your API Endpoint\n",
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"\n",
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"The [`config_list_from_json`](https://microsoft.github.io/FLAML/docs/reference/autogen/oai/openai_utils#config_list_from_json) function loads a list of configurations from an environment variable or a json file.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"from flaml import oai\n",
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"\n",
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"config_list = oai.config_list_from_json(\n",
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" \"OAI_CONFIG_LIST\",\n",
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" filter_dict={\n",
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" \"model\": [\"gpt-4\", \"gpt4\", \"gpt-4-32k\", \"gpt-4-32k-0314\"],\n",
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" },\n",
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")"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"It first looks for environment variable \"OAI_CONFIG_LIST\" which needs to be a valid json string. If that variable is not found, it then looks for a json file named \"OAI_CONFIG_LIST\". It filters the configs by models (you can filter by other keys as well). Only the gpt-4 models are kept in the list based on the filter condition.\n",
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"\n",
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"The config list looks like the following:\n",
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"```python\n",
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"config_list = [\n",
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" {\n",
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" 'model': 'gpt-4',\n",
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" 'api_key': '<your OpenAI API key here>',\n",
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" },\n",
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" {\n",
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" 'model': 'gpt-4',\n",
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" 'api_key': '<your Azure OpenAI API key here>',\n",
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" 'api_base': '<your Azure OpenAI API base here>',\n",
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" 'api_type': 'azure',\n",
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" 'api_version': '2023-06-01-preview',\n",
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" },\n",
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" {\n",
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" 'model': 'gpt-4-32k',\n",
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" 'api_key': '<your Azure OpenAI API key here>',\n",
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" 'api_base': '<your Azure OpenAI API base here>',\n",
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" 'api_type': 'azure',\n",
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" 'api_version': '2023-06-01-preview',\n",
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" },\n",
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"]\n",
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"```\n",
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"\n",
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"If you open this notebook in colab, you can upload your files by clicking the file icon on the left panel and then choose \"upload file\" icon.\n",
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"\n",
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"You can set the value of config_list in other ways you prefer, e.g., loading from a YAML file."
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Example Task: Check Stock Price Change\n",
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"\n",
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"In the example below, let's see how to use the agents in FLAML to write a python script and execute the script. This process involves constructing a `AssistantAgent` to serve as the assistant, along with a `UserProxyAgent` that acts as a proxy for the human user. In this example demonstrated below, when constructing the `UserProxyAgent`, we select the `human_input_mode` to \"NEVER\". This means that the `UserProxyAgent` will not solicit feedback from the human user. It stops replying when the limit defined by `max_consecutive_auto_reply` is reached, or when `is_termination_msg()` returns true for the received message."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"user_proxy (to assistant):\n",
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"\n",
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"What date is today? Compare the year-to-date gain for META and TESLA.\n",
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"\n",
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"--------------------------------------------------------------------------------\n",
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"assistant (to user_proxy):\n",
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"\n",
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"# filename: stock_comparison.py\n",
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"```python\n",
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"import datetime\n",
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"import yfinance as yf\n",
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"\n",
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"# Get today's date\n",
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"today = datetime.date.today()\n",
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"print(\"Today's date:\", today)\n",
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"\n",
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"# Get the start of the year\n",
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"start_of_year = datetime.date(today.year, 1, 1)\n",
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"\n",
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"# Download the historical data for META and TESLA\n",
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"meta_data = yf.download('META', start=start_of_year, end=today)\n",
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"tesla_data = yf.download('TSLA', start=start_of_year, end=today)\n",
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"\n",
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"# Calculate the year-to-date gain for META and TESLA\n",
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"meta_gain = (meta_data['Close'][-1] - meta_data['Close'][0]) / meta_data['Close'][0]\n",
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"tesla_gain = (tesla_data['Close'][-1] - tesla_data['Close'][0]) / tesla_data['Close'][0]\n",
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"\n",
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"# Print the year-to-date gain for META and TESLA\n",
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"print(\"Year-to-date gain for META:\", round(meta_gain * 100, 2), \"%\")\n",
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"print(\"Year-to-date gain for TESLA:\", round(tesla_gain * 100, 2), \"%\")\n",
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"```\n",
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"Please save this code in a file named `stock_comparison.py` and run it. This script will print today's date and compare the year-to-date gain for META and TESLA. It uses the `yfinance` library to download the historical data for the stocks. If you haven't installed `yfinance`, please install it by running `pip install yfinance`.\n",
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"\n",
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"--------------------------------------------------------------------------------\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"user_proxy (to assistant):\n",
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"\n",
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"exitcode: 0 (execution succeeded)\n",
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"Code output: \n",
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"Today's date: 2023-07-26\n",
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"[*********************100%***********************] 1 of 1 completed\n",
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"[*********************100%***********************] 1 of 1 completed\n",
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"Year-to-date gain for META: 136.07 %\n",
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"Year-to-date gain for TESLA: 145.4 %\n",
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"\n",
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"\n",
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"--------------------------------------------------------------------------------\n",
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"assistant (to user_proxy):\n",
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"\n",
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"Great! The code executed successfully. Today's date is July 26, 2023. The year-to-date gain for META is 136.07%, and the year-to-date gain for TESLA is 145.4%. Please let me know if you need any further assistance.\n",
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"\n",
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"TERMINATE\n",
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"\n",
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"--------------------------------------------------------------------------------\n"
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]
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}
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],
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"source": [
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"from flaml.autogen.agentchat import AssistantAgent, UserProxyAgent\n",
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"\n",
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"# create an AssistantAgent named \"assistant\"\n",
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"assistant = AssistantAgent(\n",
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" name=\"assistant\",\n",
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" oai_config={\n",
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" \"seed\": 42, # seed for caching and reproducibility\n",
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" \"config_list\": config_list, # a list of OpenAI API configurations\n",
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" \"temperature\": 0, # temperature for sampling\n",
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" }, # configuration for flaml.oai, an enhanced inference API compatible with OpenAI API\n",
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")\n",
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"# create a UserProxyAgent instance named \"user_proxy\"\n",
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"user_proxy = UserProxyAgent(\n",
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" name=\"user_proxy\",\n",
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" human_input_mode=\"NEVER\",\n",
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" max_consecutive_auto_reply=10,\n",
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" is_termination_msg=lambda x: x.get(\"content\", \"\").rstrip().endswith(\"TERMINATE\"),\n",
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" code_execution_config={\n",
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" \"work_dir\": \"coding\",\n",
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" \"use_docker\": False, # set to True or image name like \"python:3\" to use docker\n",
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" },\n",
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")\n",
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"# the assistant receives a message from the user_proxy, which contains the task description\n",
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"user_proxy.initiate_chat(\n",
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" assistant,\n",
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" message=\"\"\"What date is today? Compare the year-to-date gain for META and TESLA.\"\"\",\n",
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")"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The example above involves code execution. In FLAML, code execution is triggered automatically by the `UserProxyAgent` when it detects an executable code block in a received message and no human user input is provided. This process occurs in a designated working directory, using a Docker container by default. Unless a specific directory is specified, FLAML defaults to the `flaml/autogen/extensions` directory. Users have the option to specify a different working directory by setting the `work_dir` argument when constructing a new instance of the `UserProxyAgent`.\n",
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"\n",
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"The whole chat is auto generated."
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Example Task: Plot Chart"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"user_proxy (to assistant):\n",
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"\n",
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"Plot a chart of their stock price change YTD and save to stock_price_ytd.png.\n",
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"\n",
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"--------------------------------------------------------------------------------\n",
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"assistant (to user_proxy):\n",
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"\n",
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"# filename: stock_price_chart.py\n",
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"```python\n",
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"import datetime\n",
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"import yfinance as yf\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"# Get today's date\n",
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"today = datetime.date.today()\n",
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"\n",
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"# Get the start of the year\n",
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"start_of_year = datetime.date(today.year, 1, 1)\n",
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"\n",
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"# Download the historical data for META and TESLA\n",
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"meta_data = yf.download('META', start=start_of_year, end=today)\n",
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"tesla_data = yf.download('TSLA', start=start_of_year, end=today)\n",
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"\n",
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"# Plot the stock price change YTD for META and TESLA\n",
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"plt.figure(figsize=(10, 6))\n",
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"plt.plot(meta_data['Close'], label='META')\n",
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"plt.plot(tesla_data['Close'], label='TSLA')\n",
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"plt.xlabel('Date')\n",
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"plt.ylabel('Stock Price')\n",
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"plt.title('Stock Price Change YTD for META and TESLA')\n",
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"plt.legend()\n",
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"\n",
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"# Save the chart to stock_price_ytd.png\n",
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"plt.savefig('stock_price_ytd.png')\n",
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"plt.show()\n",
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"```\n",
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"\n",
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"Please save this code in a file named `stock_price_chart.py` and run it. This script will plot the stock price change YTD for META and TESLA and save the chart to a file named `stock_price_ytd.png`. It uses the `matplotlib` library to create the chart. If you haven't installed `matplotlib`, please install it by running `pip install matplotlib`.\n",
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"\n",
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"--------------------------------------------------------------------------------\n",
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"user_proxy (to assistant):\n",
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"\n",
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"exitcode: 0 (execution succeeded)\n",
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"Code output: \n",
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"[*********************100%***********************] 1 of 1 completed\n",
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"[*********************100%***********************] 1 of 1 completed\n",
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"Figure(1000x600)\n",
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"\n",
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"\n",
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"--------------------------------------------------------------------------------\n",
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"assistant (to user_proxy):\n",
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"\n",
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"Great! The code executed successfully, and the chart of the stock price change YTD for META and TESLA has been saved to a file named `stock_price_ytd.png`. You can now view the chart in the saved file. If you need any further assistance, please let me know.\n",
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"\n",
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"TERMINATE\n",
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"\n",
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"--------------------------------------------------------------------------------\n"
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]
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}
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],
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"source": [
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"# followup of the previous question\n",
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"user_proxy.send(\n",
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" recipient=assistant,\n",
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" message=\"\"\"Plot a chart of their stock price change YTD and save to stock_price_ytd.png.\"\"\",\n",
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")"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Let's display the generated figure."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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",
|
||
"text/plain": [
|
||
"<IPython.core.display.Image object>"
|
||
]
|
||
},
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"from IPython.display import Image\n",
|
||
"\n",
|
||
"Image(filename='coding/stock_price_ytd.png')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Use a Different Code Execution Environment\n",
|
||
"\n",
|
||
"The code execution happened in a separate process, so the plot is not directly displayed in the notebook. Is it possible to change the code execution environment into IPython?\n",
|
||
"\n",
|
||
"Yes! In the following we demonstrate how to extend the `UserProxyAgent` to use a different code execution environment."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from typing import Dict, Union\n",
|
||
"from IPython import get_ipython\n",
|
||
"\n",
|
||
"class IPythonUserProxyAgent(UserProxyAgent):\n",
|
||
" def __init__(self, name: str, **kwargs):\n",
|
||
" super().__init__(name, **kwargs)\n",
|
||
" self._ipython = get_ipython()\n",
|
||
"\n",
|
||
" def generate_init_message(self, *args, **kwargs) -> Union[str, Dict]:\n",
|
||
" return super().generate_init_message(*args, **kwargs) + \"\"\"\n",
|
||
"If you suggest code, the code will be executed in IPython.\"\"\"\n",
|
||
"\n",
|
||
" def run_code(self, code, **kwargs):\n",
|
||
" result = self._ipython.run_cell(code)\n",
|
||
" log = str(result.result)\n",
|
||
" exitcode = 0 if result.success else 1\n",
|
||
" if result.error_before_exec is not None:\n",
|
||
" log += f\"\\n{result.error_before_exec}\"\n",
|
||
" exitcode = 1\n",
|
||
" if result.error_in_exec is not None:\n",
|
||
" log += f\"\\n{result.error_in_exec}\"\n",
|
||
" exitcode = 1\n",
|
||
" return exitcode, bytes(log, \"utf-8\"), None"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"The implementation overrides three functions in `UserProxyAgent`:\n",
|
||
"* constructor. We get the ipython instance as the code execution environment.\n",
|
||
"* `generate_init_message`. We generate a modified initial message to send to the assistant agent, by adding the info that the execution will be performed in IPython.\n",
|
||
"* `run_code`. We execute the code with the ipython instance.\n",
|
||
"\n",
|
||
"With the new `IPythonUserProxyAgent`, we are able to run the code within the current notebook environment and display plot directly."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ipython_user_proxy (to assistant):\n",
|
||
"\n",
|
||
"Plot a chart of META and TESLA stock price change YTD\n",
|
||
"If you suggest code, the code will be executed in IPython.\n",
|
||
"\n",
|
||
"--------------------------------------------------------------------------------\n",
|
||
"assistant (to ipython_user_proxy):\n",
|
||
"\n",
|
||
"Sure, we can use the `yfinance` library in Python to download the stock price data and `matplotlib` to plot the data. If you don't have `yfinance` installed, you can install it using pip:\n",
|
||
"\n",
|
||
"```python\n",
|
||
"!pip install yfinance\n",
|
||
"```\n",
|
||
"\n",
|
||
"Here is the Python code to plot the YTD stock price change for META (Facebook) and TESLA.\n",
|
||
"\n",
|
||
"```python\n",
|
||
"# Python code\n",
|
||
"import yfinance as yf\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"from datetime import datetime\n",
|
||
"\n",
|
||
"# Define the ticker symbol\n",
|
||
"tickerSymbols = ['META', 'TSLA']\n",
|
||
"\n",
|
||
"# Get data on this ticker\n",
|
||
"start_date = datetime(datetime.now().year, 1, 1)\n",
|
||
"end_date = datetime.now()\n",
|
||
"\n",
|
||
"# Fetch the data\n",
|
||
"data = yf.download(tickerSymbols, start=start_date, end=end_date)\n",
|
||
"\n",
|
||
"# Plot the close prices\n",
|
||
"plt.figure(figsize=(14,7))\n",
|
||
"plt.plot(data['Close'])\n",
|
||
"plt.title('YTD Stock Price Change for META and TESLA')\n",
|
||
"plt.xlabel('Date')\n",
|
||
"plt.ylabel('Price (USD)')\n",
|
||
"plt.legend(tickerSymbols)\n",
|
||
"plt.grid(True)\n",
|
||
"plt.show()\n",
|
||
"```\n",
|
||
"\n",
|
||
"This code will plot the closing prices of META and TESLA stocks from the start of this year to the current date. The prices are in USD.\n",
|
||
"\n",
|
||
"--------------------------------------------------------------------------------\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Defaulting to user installation because normal site-packages is not writeable\n",
|
||
"Requirement already satisfied: yfinance in /home/vscode/.local/lib/python3.9/site-packages (0.2.26)\n",
|
||
"Requirement already satisfied: pandas>=1.3.0 in /home/vscode/.local/lib/python3.9/site-packages (from yfinance) (2.0.3)\n",
|
||
"Requirement already satisfied: numpy>=1.16.5 in /home/vscode/.local/lib/python3.9/site-packages (from yfinance) (1.25.1)\n",
|
||
"Requirement already satisfied: multitasking>=0.0.7 in /home/vscode/.local/lib/python3.9/site-packages (from yfinance) (0.0.11)\n",
|
||
"Requirement already satisfied: frozendict>=2.3.4 in /home/vscode/.local/lib/python3.9/site-packages (from yfinance) (2.3.8)\n",
|
||
"Requirement already satisfied: requests>=2.31 in /usr/local/lib/python3.9/site-packages (from yfinance) (2.31.0)\n",
|
||
"Requirement already satisfied: html5lib>=1.1 in /home/vscode/.local/lib/python3.9/site-packages (from yfinance) (1.1)\n",
|
||
"Requirement already satisfied: appdirs>=1.4.4 in /home/vscode/.local/lib/python3.9/site-packages (from yfinance) (1.4.4)\n",
|
||
"Requirement already satisfied: lxml>=4.9.1 in /home/vscode/.local/lib/python3.9/site-packages (from yfinance) (4.9.3)\n",
|
||
"Requirement already satisfied: pytz>=2022.5 in /home/vscode/.local/lib/python3.9/site-packages (from yfinance) (2023.3)\n",
|
||
"Requirement already satisfied: beautifulsoup4>=4.11.1 in /home/vscode/.local/lib/python3.9/site-packages (from yfinance) (4.12.2)\n",
|
||
"Requirement already satisfied: soupsieve>1.2 in /home/vscode/.local/lib/python3.9/site-packages (from beautifulsoup4>=4.11.1->yfinance) (2.4.1)\n",
|
||
"Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.9/site-packages (from html5lib>=1.1->yfinance) (1.16.0)\n",
|
||
"Requirement already satisfied: webencodings in /home/vscode/.local/lib/python3.9/site-packages (from html5lib>=1.1->yfinance) (0.5.1)\n",
|
||
"Requirement already satisfied: python-dateutil>=2.8.2 in /home/vscode/.local/lib/python3.9/site-packages (from pandas>=1.3.0->yfinance) (2.8.2)\n",
|
||
"Requirement already satisfied: tzdata>=2022.1 in /home/vscode/.local/lib/python3.9/site-packages (from pandas>=1.3.0->yfinance) (2023.3)\n",
|
||
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.9/site-packages (from requests>=2.31->yfinance) (2023.5.7)\n",
|
||
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.9/site-packages (from requests>=2.31->yfinance) (2.0.3)\n",
|
||
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.9/site-packages (from requests>=2.31->yfinance) (3.4)\n",
|
||
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.9/site-packages (from requests>=2.31->yfinance) (3.2.0)\n",
|
||
"\n",
|
||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n",
|
||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
|
||
"[*********************100%***********************] 2 of 2 completed\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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|
||
"text/plain": [
|
||
"<Figure size 1400x700 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ipython_user_proxy (to assistant):\n",
|
||
"\n",
|
||
"exitcode: 0 (execution succeeded)\n",
|
||
"Code output: \n",
|
||
"None\n",
|
||
"None\n",
|
||
"\n",
|
||
"--------------------------------------------------------------------------------\n",
|
||
"assistant (to ipython_user_proxy):\n",
|
||
"\n",
|
||
"It seems like the code executed successfully but didn't produce any output. This could be due to the fact that the IPython environment you're using might not support matplotlib's interactive mode. \n",
|
||
"\n",
|
||
"Let's try a different approach using pandas' built-in plotting function, which should work in any environment. \n",
|
||
"\n",
|
||
"```python\n",
|
||
"# Python code\n",
|
||
"import yfinance as yf\n",
|
||
"import pandas as pd\n",
|
||
"from datetime import datetime\n",
|
||
"\n",
|
||
"# Define the ticker symbol\n",
|
||
"tickerSymbols = ['META', 'TSLA']\n",
|
||
"\n",
|
||
"# Get data on this ticker\n",
|
||
"start_date = datetime(datetime.now().year, 1, 1)\n",
|
||
"end_date = datetime.now()\n",
|
||
"\n",
|
||
"# Fetch the data\n",
|
||
"data = yf.download(tickerSymbols, start=start_date, end=end_date)\n",
|
||
"\n",
|
||
"# Plot the close prices\n",
|
||
"data['Close'].plot(title='YTD Stock Price Change for META and TESLA', figsize=(14,7), grid=True)\n",
|
||
"```\n",
|
||
"\n",
|
||
"This code does the same thing as the previous one, but uses pandas' built-in plot function instead of matplotlib. The plot should appear directly in your IPython environment.\n",
|
||
"\n",
|
||
"--------------------------------------------------------------------------------\n",
|
||
"[*********************100%***********************] 2 of 2 completed\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Axes: title={'center': 'YTD Stock Price Change for META and TESLA'}, xlabel='Date'>"
|
||
]
|
||
},
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1400x700 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ipython_user_proxy (to assistant):\n",
|
||
"\n",
|
||
"exitcode: 0 (execution succeeded)\n",
|
||
"Code output: \n",
|
||
"Axes(0.125,0.2;0.775x0.68)\n",
|
||
"\n",
|
||
"--------------------------------------------------------------------------------\n",
|
||
"assistant (to ipython_user_proxy):\n",
|
||
"\n",
|
||
"Great! The code executed successfully. The output `Axes(0.125,0.2;0.775x0.68)` is just a representation of the plot object. The actual plot should be displayed in your IPython environment. \n",
|
||
"\n",
|
||
"The plot should show the YTD stock price change for META and TESLA. The x-axis represents the date and the y-axis represents the closing price in USD. \n",
|
||
"\n",
|
||
"If you can see the plot and it meets your requirements, then we are done here. \n",
|
||
"\n",
|
||
"TERMINATE\n",
|
||
"\n",
|
||
"--------------------------------------------------------------------------------\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"ipy_user = IPythonUserProxyAgent(\n",
|
||
" \"ipython_user_proxy\",\n",
|
||
" human_input_mode=\"NEVER\",\n",
|
||
" max_consecutive_auto_reply=10,\n",
|
||
" is_termination_msg=lambda x: x.get(\"content\", \"\").rstrip().endswith(\"TERMINATE\") or x.get(\"content\", \"\").rstrip().endswith('\"TERMINATE\".'),\n",
|
||
")\n",
|
||
"assistant.reset()\n",
|
||
"# the assistant receives a message from the user, which contains the task description\n",
|
||
"ipy_user.initiate_chat(\n",
|
||
" assistant,\n",
|
||
" message=\"\"\"Plot a chart of META and TESLA stock price change YTD\"\"\",\n",
|
||
")"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"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": "3.9.17"
|
||
},
|
||
"vscode": {
|
||
"interpreter": {
|
||
"hash": "949777d72b0d2535278d3dc13498b2535136f6dfe0678499012e853ee9abcab1"
|
||
}
|
||
},
|
||
"widgets": {
|
||
"application/vnd.jupyter.widget-state+json": {
|
||
"state": {
|
||
"2d910cfd2d2a4fc49fc30fbbdc5576a7": {
|
||
"model_module": "@jupyter-widgets/base",
|
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"model_module_version": "2.0.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "2.0.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "2.0.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border_bottom": null,
|
||
"border_left": null,
|
||
"border_right": null,
|
||
"border_top": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"padding": null,
|
||
"right": null,
|
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"top": null,
|
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"visibility": null,
|
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"width": null
|
||
}
|
||
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