diff --git a/examples/tape_improver/tape_improver.py b/examples/tape_improver/tape_improver.py index d385ca6c..e9cf8017 100644 --- a/examples/tape_improver/tape_improver.py +++ b/examples/tape_improver/tape_improver.py @@ -145,7 +145,7 @@ def improver_tape_view(tape: Tape) -> str: data[-1]["index"] = index if isinstance(step, AgentStep): data[-1]["metadata"] = {"agent": step.metadata.agent} - return json.dumps(data, indent=2) + return json.dumps(data, indent=2, sort_keys=True) ### Agents ### diff --git a/requirements.txt b/requirements.txt index cf1080de..e8508c81 100644 --- a/requirements.txt +++ b/requirements.txt @@ -10,7 +10,7 @@ fastapi==0.112.4 langchain-community==0.0.38 langchain-core==0.1.52 Levenshtein==0.25.1 -litellm==1.37.9 +litellm==1.51.2 matplotlib==3.9.0 pathvalidate==3.2.0 podman==5.0 diff --git a/tapeagents/llms.py b/tapeagents/llms.py index 50800625..bdfba157 100644 --- a/tapeagents/llms.py +++ b/tapeagents/llms.py @@ -7,6 +7,7 @@ import os import time from abc import ABC, abstractmethod +from itertools import zip_longest from typing import Any, Callable, Generator import litellm @@ -496,7 +497,9 @@ def _implementation(): known_prompts = list(self.outputs.keys()) closest, score = closest_prompt(prompt_key, known_prompts) if score >= 0.7: - logger.warning(f"Closest prompt score {score:.3f}:\n{diff_strings(closest, prompt_key)}") + logger.warning(f"Closest prompt score {score:.3f}") + for i, (a, b) in enumerate(zip_longest(prompt.messages, json.loads(closest), fillvalue={})): + logger.warning(f"STEP{i}: {diff_strings(a.get('content', str(a)), b.get('content', str(b)))}\n") raise FatalError("prompt not found") yield LLMEvent(output=LLMOutput(content=output)) diff --git a/tests/make_test_data.py b/tests/make_test_data.py index 0773c5b9..c652c7e3 100644 --- a/tests/make_test_data.py +++ b/tests/make_test_data.py @@ -9,8 +9,8 @@ import tapeagents.observe from examples import delegate_stack -from examples.tape_improver import tape_improver from examples.data_science import data_science +from examples.tape_improver import tape_improver @contextlib.contextmanager @@ -80,6 +80,4 @@ def run_in_tmp_dir_to_make_test_data(test_name: str, keep_llm_cache=False): with run_in_tmp_dir_to_make_test_data("data_science"): data_science.main(studio=False) case _: - raise Exception( - "Usage: python -m examples.make_test_data [delegate_stack | intro_notebook | tape_improver]" - ) + raise Exception("Usage: python -m tests.make_test_data [delegate_stack | intro_notebook | tape_improver]") diff --git a/tests/res/tape_improver/final_tape.json b/tests/res/tape_improver/final_tape.json index aaf80454..42ad1e61 100644 --- a/tests/res/tape_improver/final_tape.json +++ b/tests/res/tape_improver/final_tape.json @@ -1,12 +1,12 @@ { "metadata": { - "id": "6daf0eb3-409d-44d8-8030-167f554ffebf", - "parent_id": "f9bb15d9-dc22-4e76-b8dc-b1b5afaeb717", - "author": "", + "id": "5ddc9850-cc21-46ad-8c4b-2357931b775e", + "parent_id": "dc35b158-756f-46c6-950a-e469fe4869d8", + "author": "CodeImprover", "author_tape_id": null, "n_added_steps": 11, "error": null, - "result": null + "result": {} }, "context": { "metadata": { @@ -22,7 +22,7 @@ "steps": [ { "metadata": { - "id": "a86026d2-40fd-48c7-96fa-2e053697dd87", + "id": "2e431e52-bfca-42bb-832c-90d52a36402b", "prompt_id": "30164d41-6407-4aac-b3af-e3ebc45427ae", "node": "call", "agent": "UserProxy", @@ -34,23 +34,23 @@ }, { "metadata": { - "id": "3857c2e5-537b-4c5d-a7f0-63c5788a6f02", + "id": "d864f95e-9270-4ed6-a232-6f4ccc7dbd3e", "prompt_id": "83aa57dd-cdc2-43fc-8123-203be504b2a1", "node": "broadcast_last_message", "agent": "UserProxy/GroupChatManager", "other": {} }, + "kind": "broadcast", "content": "Make a plot comparing the stocks of ServiceNow and Salesforce since beginning of 2024. Save it to a PNG file.", "from_": "UserProxy", "to": [ "CodeExecutor", "SoftwareEngineer" - ], - "kind": "broadcast" + ] }, { "metadata": { - "id": "3bb41d79-5f34-4a9f-a824-ac6de43e198a", + "id": "4420ff82-3754-4ae6-b03c-e5127b4c484b", "prompt_id": "84422e22-2a3b-49a4-8e18-80cb78cdc9c4", "node": "select_and_call", "agent": "UserProxy/GroupChatManager", @@ -62,19 +62,19 @@ }, { "metadata": { - "id": "a37138fc-016f-4941-9560-813db0202612", + "id": "4db0ad3d-90cf-4b65-b7ed-54dc89e6b93b", "prompt_id": "fb6beb08-5239-4f89-a15c-18815b0dadc2", "node": "respond", "agent": "UserProxy/GroupChatManager/SoftwareEngineer", "other": {} }, - "content": "To make a plot comparing the stocks of ServiceNow (NOW) and Salesforce (CRM) since the beginning of 2024, we'll follow these steps:\n\n1. Import the necessary libraries.\n2. Fetch the stock data for both ServiceNow and Salesforce from a financial data provider.\n3. Process the data to ensure it's in the correct format.\n4. Create a plot comparing both stocks.\n5. Save the plot to a PNG file.\n\nWe'll use the `yfinance` library to fetch the stock data, `pandas` for data manipulation, and `matplotlib` for plotting.\n\nHere's the complete code:\n\n```python\n# filename: compare_stocks.py\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2023-10-11' # Adjust the date as necessary\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\nTo execute the script:\n\n1. Make sure you have Python installed along with the required libraries. Install any missing libraries using `pip install yfinance matplotlib pandas`.\n2. Save the above code to a file named `compare_stocks.py`.\n3. Run the script using `python compare_stocks.py`.\n\nThis will fetch the stock data for ServiceNow and Salesforce starting from January 1, 2024, create a plot comparing their prices, and save the plot as `service_now_vs_salesforce.png`.", "kind": "respond", + "content": "To make a plot comparing the stocks of ServiceNow (NOW) and Salesforce (CRM) since the beginning of 2024, we'll follow these steps:\n\n1. Import the necessary libraries.\n2. Fetch the stock data for both ServiceNow and Salesforce from a financial data provider.\n3. Process the data to ensure it's in the correct format.\n4. Create a plot comparing both stocks.\n5. Save the plot to a PNG file.\n\nWe'll use the `yfinance` library to fetch the stock data, `pandas` for data manipulation, and `matplotlib` for plotting.\n\nHere's the complete code:\n\n```python\n# filename: compare_stocks.py\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2023-10-11' # Adjust the date as necessary\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\nTo execute the script:\n\n1. Make sure you have Python installed along with the required libraries. Install any missing libraries using `pip install yfinance matplotlib pandas`.\n2. Save the above code to a file named `compare_stocks.py`.\n3. Run the script using `python compare_stocks.py`.\n\nThis will fetch the stock data for ServiceNow and Salesforce starting from January 1, 2024, create a plot comparing their prices, and save the plot as `service_now_vs_salesforce.png`.", "copy_output": false }, { "metadata": { - "id": "e9b55686-22be-4cf3-b3c4-9e57ddf85aef", + "id": "e869d4c0-e96d-479d-90b4-6ebc4de451c2", "prompt_id": "d541e24c-b3d6-4331-b42e-432a57a62c31", "node": "respond_or_repeat", "agent": "UserProxy/GroupChatManager", @@ -85,22 +85,22 @@ }, { "metadata": { - "id": "2ca2805f-c422-4762-8c9b-53639394b05f", + "id": "6e0d6299-342f-42c9-bacb-95acd149d9ed", "prompt_id": "9aa87a79-c6f6-433e-9aa9-acfa541a77c0", "node": "broadcast_last_message", "agent": "UserProxy/GroupChatManager", "other": {} }, + "kind": "broadcast", "content": "To make a plot comparing the stocks of ServiceNow (NOW) and Salesforce (CRM) since the beginning of 2024, we'll follow these steps:\n\n1. Import the necessary libraries.\n2. Fetch the stock data for both ServiceNow and Salesforce from a financial data provider.\n3. Process the data to ensure it's in the correct format.\n4. Create a plot comparing both stocks.\n5. Save the plot to a PNG file.\n\nWe'll use the `yfinance` library to fetch the stock data, `pandas` for data manipulation, and `matplotlib` for plotting.\n\nHere's the complete code:\n\n```python\n# filename: compare_stocks.py\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2023-10-11' # Adjust the date as necessary\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\nTo execute the script:\n\n1. Make sure you have Python installed along with the required libraries. Install any missing libraries using `pip install yfinance matplotlib pandas`.\n2. Save the above code to a file named `compare_stocks.py`.\n3. Run the script using `python compare_stocks.py`.\n\nThis will fetch the stock data for ServiceNow and Salesforce starting from January 1, 2024, create a plot comparing their prices, and save the plot as `service_now_vs_salesforce.png`.", "from_": "SoftwareEngineer", "to": [ "CodeExecutor" - ], - "kind": "broadcast" + ] }, { "metadata": { - "id": "6d5e3b17-898f-485a-ac44-50cebdd0c8c4", + "id": "8007d14a-6e99-4ec9-af5e-62fd262fa73e", "prompt_id": "cc63bc04-b8fb-449d-9532-158685b9beb2", "node": "select_and_call", "agent": "UserProxy/GroupChatManager", @@ -112,7 +112,7 @@ }, { "metadata": { - "id": "baa81560-ad41-45c8-ab58-fbeb6c99ab7b", + "id": "ac0d0c15-cdea-4ff8-97dd-871ca0754578", "prompt_id": "1cc57275-8cb7-4c1c-80ea-00cb44d18d65", "node": "execute_code", "agent": "UserProxy/GroupChatManager/CodeExecutor", @@ -128,7 +128,7 @@ }, { "metadata": { - "id": "284efd77-9bde-405b-8177-da6c87a8a11b", + "id": "8db92bf7-5b0c-4fb8-93b7-9cd65e5e755b", "prompt_id": "", "node": "", "agent": "", @@ -145,19 +145,19 @@ }, { "metadata": { - "id": "e16f946c-83ac-4ab2-ae6c-4c7244f0b5f5", + "id": "a0f69b4f-d38b-4222-8f26-a6a49b1c63a0", "prompt_id": "f5c426f7-8b55-4420-8af7-4f38d6ef9aa0", "node": "respond", "agent": "UserProxy/GroupChatManager/CodeExecutor", "other": {} }, - "content": "I ran the code and got the following output:\n\nTraceback (most recent call last):\r\n File \"/workspace/compare_stocks.py\", line 3, in \r\n import yfinance as yf\r\nModuleNotFoundError: No module named 'yfinance'", "kind": "respond", + "content": "I ran the code and got the following output:\n\nTraceback (most recent call last):\r\n File \"/workspace/compare_stocks.py\", line 3, in \r\n import yfinance as yf\r\nModuleNotFoundError: No module named 'yfinance'", "copy_output": false }, { "metadata": { - "id": "7bde2bd1-e27d-4c6f-8cd1-6addc59df2d0", + "id": "86f60945-46fa-46c8-a07b-81dd797c6701", "prompt_id": "5636b6b4-e5bf-46f4-870c-2ab8abb31e52", "node": "respond_or_repeat", "agent": "UserProxy/GroupChatManager", @@ -168,22 +168,22 @@ }, { "metadata": { - "id": "c512c338-8dc6-4fd1-8a61-8bba62aef9f1", + "id": "5c054900-f111-4155-983e-6e14e7db618a", "prompt_id": "373342cf-4c4c-4419-8295-a5a4152aa02b", "node": "broadcast_last_message", "agent": "UserProxy/GroupChatManager", "other": {} }, + "kind": "broadcast", "content": "I ran the code and got the following output:\n\nTraceback (most recent call last):\r\n File \"/workspace/compare_stocks.py\", line 3, in \r\n import yfinance as yf\r\nModuleNotFoundError: No module named 'yfinance'", "from_": "CodeExecutor", "to": [ "SoftwareEngineer" - ], - "kind": "broadcast" + ] }, { "metadata": { - "id": "83b596d9-2892-4c6b-8917-6b8c9a809395", + "id": "ab482e39-c510-4eed-8764-bbf37d5964af", "prompt_id": "501d7612-de14-4d38-9253-e598b7a96e35", "node": "select_and_call", "agent": "UserProxy/GroupChatManager", @@ -195,19 +195,19 @@ }, { "metadata": { - "id": "35302481-b37f-4fab-809b-639252aad54c", + "id": "831546db-1b53-43c9-90db-2416039b28e5", "prompt_id": "ef45277b-f0cf-4543-821d-57996ea0ba18", "node": "respond", "agent": "UserProxy/GroupChatManager/SoftwareEngineer", "other": {} }, - "content": "It appears that the `yfinance` library is not installed on your system.\n\nYou can install the `yfinance` library using pip. Here is the command to install it:\n\n```sh\npip install yfinance\n```\n\nFor completeness, I'll modify the script to include comments about module installation for users unfamiliar with missing dependencies:\n\n```python\n# filename: compare_stocks.py\n\n# Make sure to install required libraries using these commands:\n# pip install yfinance\n# pip install matplotlib\n# pip install pandas\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2023-10-11' # Adjust the date as necessary\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\n1. Run the command `pip install yfinance` in your shell to install the missing module.\n2. After the installation completes successfully, rerun the `compare_stocks.py` script with `python compare_stocks.py`.\n\nThis should resolve the `ModuleNotFoundError` and allow the script to execute correctly. If you encounter any additional issues, please let me know, and I'll assist you further.", "kind": "respond", + "content": "It appears that the `yfinance` library is not installed on your system.\n\nYou can install the `yfinance` library using pip. Here is the command to install it:\n\n```sh\npip install yfinance\n```\n\nFor completeness, I'll modify the script to include comments about module installation for users unfamiliar with missing dependencies:\n\n```python\n# filename: compare_stocks.py\n\n# Make sure to install required libraries using these commands:\n# pip install yfinance\n# pip install matplotlib\n# pip install pandas\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2023-10-11' # Adjust the date as necessary\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\n1. Run the command `pip install yfinance` in your shell to install the missing module.\n2. After the installation completes successfully, rerun the `compare_stocks.py` script with `python compare_stocks.py`.\n\nThis should resolve the `ModuleNotFoundError` and allow the script to execute correctly. If you encounter any additional issues, please let me know, and I'll assist you further.", "copy_output": false }, { "metadata": { - "id": "2f116d65-2293-4c4a-a31e-6112debe2c44", + "id": "2a58e683-1c63-434d-a5a0-f8ed8198078a", "prompt_id": "2b794469-923c-41e3-a69e-3d6302740157", "node": "respond_or_repeat", "agent": "UserProxy/GroupChatManager", @@ -218,22 +218,22 @@ }, { "metadata": { - "id": "eb6024cb-78fc-45be-866a-33364f21bf25", + "id": "ef8016d8-618a-4049-95b9-b888e32be164", "prompt_id": "732f4ad1-9aa5-4947-b246-e7b671fac6e2", "node": "broadcast_last_message", "agent": "UserProxy/GroupChatManager", "other": {} }, + "kind": "broadcast", "content": "It appears that the `yfinance` library is not installed on your system.\n\nYou can install the `yfinance` library using pip. Here is the command to install it:\n\n```sh\npip install yfinance\n```\n\nFor completeness, I'll modify the script to include comments about module installation for users unfamiliar with missing dependencies:\n\n```python\n# filename: compare_stocks.py\n\n# Make sure to install required libraries using these commands:\n# pip install yfinance\n# pip install matplotlib\n# pip install pandas\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2023-10-11' # Adjust the date as necessary\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\n1. Run the command `pip install yfinance` in your shell to install the missing module.\n2. After the installation completes successfully, rerun the `compare_stocks.py` script with `python compare_stocks.py`.\n\nThis should resolve the `ModuleNotFoundError` and allow the script to execute correctly. If you encounter any additional issues, please let me know, and I'll assist you further.", "from_": "SoftwareEngineer", "to": [ "CodeExecutor" - ], - "kind": "broadcast" + ] }, { "metadata": { - "id": "228b1548-28a9-4fda-8dc2-120d9b030e5b", + "id": "6ef11c1a-a419-46a6-9cd7-3970efe7f752", "prompt_id": "5f5da750-1efd-49bd-b767-15843784e189", "node": "select_and_call", "agent": "UserProxy/GroupChatManager", @@ -245,7 +245,7 @@ }, { "metadata": { - "id": "0b042968-f77e-4b58-b6de-57e3833ee8c3", + "id": "d79eed99-5b0f-411a-a162-f74abcb431af", "prompt_id": "e57b751e-957e-4155-b074-53fb637fd3b7", "node": "execute_code", "agent": "UserProxy/GroupChatManager/CodeExecutor", @@ -265,7 +265,7 @@ }, { "metadata": { - "id": "cd2bed54-db53-451a-a9b4-43c48e853e15", + "id": "6130bdbd-3826-4188-8500-332e9c8280f9", "prompt_id": "", "node": "", "agent": "", @@ -283,19 +283,19 @@ }, { "metadata": { - "id": "598594a1-1976-4ada-bf51-2bc4f94a57a7", + "id": "baefed76-39a6-4a50-bf96-57c1e3da2c8e", "prompt_id": "006a328f-230c-4868-9370-621c2b38b80e", "node": "respond", "agent": "UserProxy/GroupChatManager/CodeExecutor", "other": {} }, - "content": "I ran the code and got the following output:\n\nTraceback (most recent call last):\r\n File \"/workspace/compare_stocks.py\", line 9, in \r\n import matplotlib.pyplot as plt\r\nModuleNotFoundError: No module named 'matplotlib'", "kind": "respond", + "content": "I ran the code and got the following output:\n\nTraceback (most recent call last):\r\n File \"/workspace/compare_stocks.py\", line 9, in \r\n import matplotlib.pyplot as plt\r\nModuleNotFoundError: No module named 'matplotlib'", "copy_output": false }, { "metadata": { - "id": "7816df5b-66de-4261-905d-c95f2887be3f", + "id": "abd4bc5b-0882-45cf-9907-8b9bef1557e2", "prompt_id": "c8a6848a-f0db-4d83-b8bd-c961f2ab2f8d", "node": "respond_or_repeat", "agent": "UserProxy/GroupChatManager", @@ -306,22 +306,22 @@ }, { "metadata": { - "id": "0d595fb2-f5ea-430b-8438-174c1e906b4d", + "id": "d2432f11-1b38-4291-a34e-ed85214ac2df", "prompt_id": "d0e1a4d0-21d3-4f8a-af0c-475dd52b3b5f", "node": "broadcast_last_message", "agent": "UserProxy/GroupChatManager", "other": {} }, + "kind": "broadcast", "content": "I ran the code and got the following output:\n\nTraceback (most recent call last):\r\n File \"/workspace/compare_stocks.py\", line 9, in \r\n import matplotlib.pyplot as plt\r\nModuleNotFoundError: No module named 'matplotlib'", "from_": "CodeExecutor", "to": [ "SoftwareEngineer" - ], - "kind": "broadcast" + ] }, { "metadata": { - "id": "950e971d-4db0-4000-befa-7a832046e6a0", + "id": "b1efc909-bd28-44d1-a0d5-b1f75fe9e01f", "prompt_id": "fa6dc951-f07d-408c-a31a-f4042e740426", "node": "select_and_call", "agent": "UserProxy/GroupChatManager", @@ -333,19 +333,19 @@ }, { "metadata": { - "id": "fb8b0ec8-2453-4743-bfa1-2c170d0cafae", + "id": "f73a36f4-2b89-440e-84b2-64c50e456670", "prompt_id": "f1eba8b2-01a4-44ea-b6ea-d6a55d350f08", "node": "respond", "agent": "UserProxy/GroupChatManager/SoftwareEngineer", "other": {} }, - "content": "It seems that the `matplotlib` library is not installed on your system.\n\nYou can install the `matplotlib` library using pip. Here is the command to install it:\n\n```sh\npip install matplotlib\n```\n\nFor completeness, I'll provide the script again with the updated comments about module installation:\n\n```python\n# filename: compare_stocks.py\n\n# Make sure to install required libraries using these commands:\n# pip install yfinance\n# pip install matplotlib\n# pip install pandas\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2023-10-11' # Adjust the date as necessary\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\n1. Run the command `pip install matplotlib` in your shell to install the missing module.\n2. After the installation completes successfully, rerun the `compare_stocks.py` script with `python compare_stocks.py`.\n\nThis should resolve the `ModuleNotFoundError` for `matplotlib` and allow the script to execute correctly. If you encounter any additional issues, please let me know, and I'll assist you further.", "kind": "respond", + "content": "It seems that the `matplotlib` library is not installed on your system.\n\nYou can install the `matplotlib` library using pip. Here is the command to install it:\n\n```sh\npip install matplotlib\n```\n\nFor completeness, I'll provide the script again with the updated comments about module installation:\n\n```python\n# filename: compare_stocks.py\n\n# Make sure to install required libraries using these commands:\n# pip install yfinance\n# pip install matplotlib\n# pip install pandas\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2023-10-11' # Adjust the date as necessary\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\n1. Run the command `pip install matplotlib` in your shell to install the missing module.\n2. After the installation completes successfully, rerun the `compare_stocks.py` script with `python compare_stocks.py`.\n\nThis should resolve the `ModuleNotFoundError` for `matplotlib` and allow the script to execute correctly. If you encounter any additional issues, please let me know, and I'll assist you further.", "copy_output": false }, { "metadata": { - "id": "aa278699-ce8e-457f-8402-99def959f115", + "id": "4eb8eddf-e6c7-4797-b2e7-706859200a82", "prompt_id": "0b7b093c-fc49-4de5-a7f3-465d4cddbea7", "node": "respond_or_repeat", "agent": "UserProxy/GroupChatManager", @@ -356,22 +356,22 @@ }, { "metadata": { - "id": "af9bbec9-47bd-478b-be6b-72c5b87353c1", + "id": "a5832e1c-f9c2-4a71-89f2-eecbaeebc2d6", "prompt_id": "79db707a-a5a8-4baf-a88b-ae285b9d5684", "node": "broadcast_last_message", "agent": "UserProxy/GroupChatManager", "other": {} }, + "kind": "broadcast", "content": "It seems that the `matplotlib` library is not installed on your system.\n\nYou can install the `matplotlib` library using pip. Here is the command to install it:\n\n```sh\npip install matplotlib\n```\n\nFor completeness, I'll provide the script again with the updated comments about module installation:\n\n```python\n# filename: compare_stocks.py\n\n# Make sure to install required libraries using these commands:\n# pip install yfinance\n# pip install matplotlib\n# pip install pandas\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2023-10-11' # Adjust the date as necessary\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\n1. Run the command `pip install matplotlib` in your shell to install the missing module.\n2. After the installation completes successfully, rerun the `compare_stocks.py` script with `python compare_stocks.py`.\n\nThis should resolve the `ModuleNotFoundError` for `matplotlib` and allow the script to execute correctly. If you encounter any additional issues, please let me know, and I'll assist you further.", "from_": "SoftwareEngineer", "to": [ "CodeExecutor" - ], - "kind": "broadcast" + ] }, { "metadata": { - "id": "3e9d6928-d31c-4b0c-a2c6-8385483bff15", + "id": "ffdff71e-1269-41c0-80b1-ad891cdcd616", "prompt_id": "8595b7ed-12f6-4676-8be4-6525570dada5", "node": "select_and_call", "agent": "UserProxy/GroupChatManager", @@ -383,7 +383,7 @@ }, { "metadata": { - "id": "f0d766f4-d608-47d9-ab2c-0aeb7dcdd305", + "id": "f71fb411-1360-4e8d-bd45-bacb599d3a2d", "prompt_id": "384f0e18-9b02-48cc-b642-a83324b580a1", "node": "execute_code", "agent": "UserProxy/GroupChatManager/CodeExecutor", @@ -403,7 +403,7 @@ }, { "metadata": { - "id": "460a18a6-62fe-45b4-95cf-f827f278a263", + "id": "a541dc9f-92ea-4070-bb86-a4f32ce81a5b", "prompt_id": "", "node": "", "agent": "", @@ -421,19 +421,19 @@ }, { "metadata": { - "id": "4034ec1e-bd85-48d6-968e-e5aa11d429c7", + "id": "9f0e2cd2-b6dc-4f9d-b051-8906cc4612c6", "prompt_id": "d8436643-3cf5-48fc-8c57-1538337e924e", "node": "respond", "agent": "UserProxy/GroupChatManager/CodeExecutor", "other": {} }, - "content": "I ran the code and got the following output:\n\n[ 0%% ]\r[*********************100%%**********************] 2 of 2 completed\r\n\r\n2 Failed downloads:\r\n['NOW']: OperationalError('database is locked')\r\n['CRM']: YFChartError('%ticker%: Invalid input - start date cannot be after end date. startDate = 1704085200, endDate = 1696996800')", "kind": "respond", + "content": "I ran the code and got the following output:\n\n[ 0%% ]\r[*********************100%%**********************] 2 of 2 completed\r\n\r\n2 Failed downloads:\r\n['NOW']: OperationalError('database is locked')\r\n['CRM']: YFChartError('%ticker%: Invalid input - start date cannot be after end date. startDate = 1704085200, endDate = 1696996800')", "copy_output": false }, { "metadata": { - "id": "6bf429d7-9fdc-4f9a-ae6c-e40033901a5b", + "id": "01a1cbd9-9d42-4645-8e39-37e9fe6d6c3d", "prompt_id": "cb59b2f4-8a22-4673-8e47-1ab94199b700", "node": "respond_or_repeat", "agent": "UserProxy/GroupChatManager", @@ -444,22 +444,22 @@ }, { "metadata": { - "id": "392fe49e-aac8-4bdc-a110-d54936a85d94", + "id": "d82370a6-fc93-478e-86e6-a5cc7fc5c4da", "prompt_id": "abb078df-8476-41f3-a1ae-2f4bfce8112e", "node": "broadcast_last_message", "agent": "UserProxy/GroupChatManager", "other": {} }, + "kind": "broadcast", "content": "I ran the code and got the following output:\n\n[ 0%% ]\r[*********************100%%**********************] 2 of 2 completed\r\n\r\n2 Failed downloads:\r\n['NOW']: OperationalError('database is locked')\r\n['CRM']: YFChartError('%ticker%: Invalid input - start date cannot be after end date. startDate = 1704085200, endDate = 1696996800')", "from_": "CodeExecutor", "to": [ "SoftwareEngineer" - ], - "kind": "broadcast" + ] }, { "metadata": { - "id": "296d1c44-a3ed-4a65-83bf-ef5ead0d8194", + "id": "c59dc431-4681-42ee-8caa-bcddac302266", "prompt_id": "7568410b-74bc-464a-b3fb-c037f4cdeb46", "node": "select_and_call", "agent": "UserProxy/GroupChatManager", @@ -471,19 +471,19 @@ }, { "metadata": { - "id": "a59ea09c-c688-4578-a0d8-406a9e6c17be", + "id": "9cb10912-2ad1-44c2-ade9-4fa85a81c715", "prompt_id": "93166745-bd60-4fae-a984-f03f56f5b8d7", "node": "respond", "agent": "UserProxy/GroupChatManager/SoftwareEngineer", "other": {} }, - "content": "The error you are encountering is due to the incorrect end date specified earlier. The end date '2023-10-11' is actually before the start date '2024-01-01', which is causing the issue.\n\nAdditionally, we should adjust the end date to something in 2024 to correctly fetch data since the beginning of 2024.\n\nLet's fix the dates and try again. I'll revise the code for the correct dates:\n\n```python\n# filename: compare_stocks.py\n\n# Make sure to install required libraries using these commands:\n# pip install yfinance\n# pip install matplotlib\n# pip install pandas\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2024-10-11' # Adjust the date to a future or reasonable date\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\n1. Save the above code to the `compare_stocks.py` file.\n2. Rerun the script using `python compare_stocks.py`.\n\nThis should fetch data from January 1, 2024 to October 11, 2024, and the plot should be generated correctly.\n\nPlease execute the script again and let me know the outcome.", "kind": "respond", + "content": "The error you are encountering is due to the incorrect end date specified earlier. The end date '2023-10-11' is actually before the start date '2024-01-01', which is causing the issue.\n\nAdditionally, we should adjust the end date to something in 2024 to correctly fetch data since the beginning of 2024.\n\nLet's fix the dates and try again. I'll revise the code for the correct dates:\n\n```python\n# filename: compare_stocks.py\n\n# Make sure to install required libraries using these commands:\n# pip install yfinance\n# pip install matplotlib\n# pip install pandas\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2024-10-11' # Adjust the date to a future or reasonable date\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\n1. Save the above code to the `compare_stocks.py` file.\n2. Rerun the script using `python compare_stocks.py`.\n\nThis should fetch data from January 1, 2024 to October 11, 2024, and the plot should be generated correctly.\n\nPlease execute the script again and let me know the outcome.", "copy_output": false }, { "metadata": { - "id": "07e3fad7-4f96-4a5f-b1ac-86d18d86f953", + "id": "a9439dd7-21fc-47e1-b8dc-080eb86199f7", "prompt_id": "7405a02b-d8ea-499d-aac9-9c8921002516", "node": "respond_or_repeat", "agent": "UserProxy/GroupChatManager", @@ -494,22 +494,22 @@ }, { "metadata": { - "id": "252f9fbd-9c9d-4bf6-b3f8-4516684336df", + "id": "0c8a3ccf-dc02-47b5-bba0-12c9ed50e972", "prompt_id": "a545b562-12f1-49d2-8377-ef326b04de05", "node": "broadcast_last_message", "agent": "UserProxy/GroupChatManager", "other": {} }, + "kind": "broadcast", "content": "The error you are encountering is due to the incorrect end date specified earlier. The end date '2023-10-11' is actually before the start date '2024-01-01', which is causing the issue.\n\nAdditionally, we should adjust the end date to something in 2024 to correctly fetch data since the beginning of 2024.\n\nLet's fix the dates and try again. I'll revise the code for the correct dates:\n\n```python\n# filename: compare_stocks.py\n\n# Make sure to install required libraries using these commands:\n# pip install yfinance\n# pip install matplotlib\n# pip install pandas\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2024-10-11' # Adjust the date to a future or reasonable date\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\n1. Save the above code to the `compare_stocks.py` file.\n2. Rerun the script using `python compare_stocks.py`.\n\nThis should fetch data from January 1, 2024 to October 11, 2024, and the plot should be generated correctly.\n\nPlease execute the script again and let me know the outcome.", "from_": "SoftwareEngineer", "to": [ "CodeExecutor" - ], - "kind": "broadcast" + ] }, { "metadata": { - "id": "a112b125-4b98-4b20-88f9-f957e3afc219", + "id": "dc437e33-f1e7-4c23-b69e-b7f596f2f6f1", "prompt_id": "3f1c8f48-0ae5-484f-8a7b-9ef14f4b5419", "node": "select_and_call", "agent": "UserProxy/GroupChatManager", @@ -521,7 +521,7 @@ }, { "metadata": { - "id": "ff7c3cee-54a1-4773-8d8f-8d3610eb139d", + "id": "228cde23-fa57-410f-a273-e1bdd77020fa", "prompt_id": "a4701e2a-0c8a-43e5-ad86-9e589e3b371e", "node": "execute_code", "agent": "UserProxy/GroupChatManager/CodeExecutor", @@ -537,7 +537,7 @@ }, { "metadata": { - "id": "06c85708-5c60-4052-83f9-992c95abcad8", + "id": "53340270-2c70-4426-a35d-aaf35e0b4137", "prompt_id": "", "node": "", "agent": "", @@ -554,19 +554,19 @@ }, { "metadata": { - "id": "b9213516-a235-4a25-b249-92245382298c", + "id": "9c93031b-6fd1-4ed8-b230-5534d36442b9", "prompt_id": "80dbaae3-abe4-44b4-8a91-46939f57909c", "node": "respond", "agent": "UserProxy/GroupChatManager/CodeExecutor", "other": {} }, - "content": "I ran the code and got the following output:\n\n[ 0%% ]\r[*********************100%%**********************] 2 of 2 completed", "kind": "respond", + "content": "I ran the code and got the following output:\n\n[ 0%% ]\r[*********************100%%**********************] 2 of 2 completed", "copy_output": false }, { "metadata": { - "id": "c105fd03-e265-497a-8e1d-8c1ac3d26396", + "id": "535291e1-f0b0-4d16-ad5a-61eb4bc91f7f", "prompt_id": "67699d16-4c61-46fb-806d-1f8b7c5e1a09", "node": "respond_or_repeat", "agent": "UserProxy/GroupChatManager", @@ -577,22 +577,22 @@ }, { "metadata": { - "id": "3aada246-15ad-4177-bfeb-61ecd4585bf9", + "id": "cb57a885-97e5-4a5f-96bc-37928e07d3d7", "prompt_id": "680a3aab-80c9-4e8b-b75b-cdd4e88efcbc", "node": "broadcast_last_message", "agent": "UserProxy/GroupChatManager", "other": {} }, + "kind": "broadcast", "content": "I ran the code and got the following output:\n\n[ 0%% ]\r[*********************100%%**********************] 2 of 2 completed", "from_": "CodeExecutor", "to": [ "SoftwareEngineer" - ], - "kind": "broadcast" + ] }, { "metadata": { - "id": "c8a16942-09ae-4a7b-91d6-02c3df2ad068", + "id": "be9877a8-c212-4fd6-afc3-9ddae93b5d65", "prompt_id": "05712eb7-1de9-434b-b3e8-0fdafde4b05a", "node": "select_and_call", "agent": "UserProxy/GroupChatManager", @@ -604,31 +604,31 @@ }, { "metadata": { - "id": "9e547181-b8a6-496a-add8-8eceae7b1224", + "id": "cf0ab139-ff29-4001-af60-6bb428be473d", "prompt_id": "6ee85147-5f51-450c-aedd-c6f7d3e33168", "node": "respond", "agent": "UserProxy/GroupChatManager/SoftwareEngineer", "other": {} }, - "content": "The code has executed successfully, which indicates that the stock data was fetched correctly and the plot was generated.\n\nThe output should have created and saved a file named `service_now_vs_salesforce.png` in your working directory. You can open this PNG file to view the plot comparing the stock prices of ServiceNow (NOW) and Salesforce (CRM) from January 1, 2024, to October 11, 2024.\n\nIf you need further assistance or there are any additional issues, please let me know. Otherwise, the task is completed successfully.\n\nTERMINATE", "kind": "respond", + "content": "The code has executed successfully, which indicates that the stock data was fetched correctly and the plot was generated.\n\nThe output should have created and saved a file named `service_now_vs_salesforce.png` in your working directory. You can open this PNG file to view the plot comparing the stock prices of ServiceNow (NOW) and Salesforce (CRM) from January 1, 2024, to October 11, 2024.\n\nIf you need further assistance or there are any additional issues, please let me know. Otherwise, the task is completed successfully.\n\nTERMINATE", "copy_output": false }, { "metadata": { - "id": "25fd8b62-046b-49c9-9834-39d96e942881", + "id": "b34a746c-83d7-4215-9a6c-f22957c13c4d", "prompt_id": "d54f4664-6a13-41d2-8522-50f43e71614b", "node": "respond_or_repeat", "agent": "UserProxy/GroupChatManager", "other": {} }, - "content": "", "kind": "respond", + "content": "", "copy_output": false }, { "metadata": { - "id": "56f49edf-0d98-4421-8e37-908312f7a96b", + "id": "a141bc2d-d4a7-416e-8b00-c30f9cfb5f8f", "prompt_id": "04d09126-221a-4733-9fba-08568c7eaa0f", "node": "terminate_or_repeat", "agent": "UserProxy", @@ -642,9 +642,9 @@ "steps": [ { "metadata": { - "id": "4c32a8b5-6b75-42ff-b9c6-2d48e447ec0e", - "prompt_id": "531ad3e7-7f7b-47e8-8d90-d337be32c70a", - "node": "", + "id": "314150f0-910d-41da-a3e0-5498495fe860", + "prompt_id": "597726c0-3e4a-4a65-92f9-b1b55f928fbe", + "node": "AgentSelectorNode", "agent": "CodeImprover", "other": {} }, @@ -654,8 +654,8 @@ }, { "metadata": { - "id": "4c32a8b5-6b75-42ff-b9c6-2d48e447ec0e", - "prompt_id": "dd08e68e-af37-4d0e-9040-8ffa0da08972", + "id": "314150f0-910d-41da-a3e0-5498495fe860", + "prompt_id": "00dc7047-d111-4d58-a573-58d0508097fa", "node": "", "agent": "CodeImprover/AgentSelector", "other": {} @@ -666,21 +666,21 @@ }, { "metadata": { - "id": "4c32a8b5-6b75-42ff-b9c6-2d48e447ec0e", - "prompt_id": "dd08e68e-af37-4d0e-9040-8ffa0da08972", + "id": "314150f0-910d-41da-a3e0-5498495fe860", + "prompt_id": "00dc7047-d111-4d58-a573-58d0508097fa", "node": "", "agent": "CodeImprover/AgentSelector", "other": {} }, - "content": "", "kind": "respond", + "content": "", "copy_output": true }, { "metadata": { - "id": "4c32a8b5-6b75-42ff-b9c6-2d48e447ec0e", - "prompt_id": "38e25f6a-5718-488f-a685-2f0da5b1bf4a", - "node": "", + "id": "314150f0-910d-41da-a3e0-5498495fe860", + "prompt_id": "2205353c-cab5-49ed-857a-2d360e8c82ee", + "node": "StepSelectorNode", "agent": "CodeImprover", "other": {} }, @@ -690,9 +690,9 @@ }, { "metadata": { - "id": "4c32a8b5-6b75-42ff-b9c6-2d48e447ec0e", - "prompt_id": "38e25f6a-5718-488f-a685-2f0da5b1bf4a", - "node": "", + "id": "314150f0-910d-41da-a3e0-5498495fe860", + "prompt_id": "2205353c-cab5-49ed-857a-2d360e8c82ee", + "node": "StepSelectorNode", "agent": "CodeImprover", "other": {} }, @@ -702,33 +702,33 @@ }, { "metadata": { - "id": "4c32a8b5-6b75-42ff-b9c6-2d48e447ec0e", - "prompt_id": "0611878d-40e2-45dd-a2fd-c0269f9194dc", + "id": "314150f0-910d-41da-a3e0-5498495fe860", + "prompt_id": "408d468b-2a07-4456-8be2-22517f61f9f3", "node": "", "agent": "CodeImprover/StepSelector", "other": {} }, "kind": "select_step", - "reasoning": "At step 3, the SoftwareEngineer agent wrote the initial code. This code did not include commands to install missing dependencies. Also, the code included a logical error with the end date being before the start date.", + "reasoning": "In step 3, SoftwareEngineer provides a code snippet that aims to compare the stocks of ServiceNow and Salesforce. However, the code snippet lacks installation commands for the necessary Python packages, which leads to errors during code execution by CodeExecutor due to missing libraries like 'yfinance' and 'matplotlib'. The logical error with incorrect date ranges (start_date set after end_date) is another issue in the same code block. Thus, improvements are needed in step 3 to add dependency installation instructions and fix the logical date error.", "step_index": 3 }, { "metadata": { - "id": "4c32a8b5-6b75-42ff-b9c6-2d48e447ec0e", - "prompt_id": "0611878d-40e2-45dd-a2fd-c0269f9194dc", + "id": "314150f0-910d-41da-a3e0-5498495fe860", + "prompt_id": "408d468b-2a07-4456-8be2-22517f61f9f3", "node": "", "agent": "CodeImprover/StepSelector", "other": {} }, - "content": "", "kind": "respond", + "content": "", "copy_output": true }, { "metadata": { - "id": "4c32a8b5-6b75-42ff-b9c6-2d48e447ec0e", - "prompt_id": "e05d01ac-8ae8-4bb0-8387-6d9fc65f6595", - "node": "", + "id": "314150f0-910d-41da-a3e0-5498495fe860", + "prompt_id": "dee21046-6cc4-4ddb-8004-0f84e560b685", + "node": "StepRewriterNode", "agent": "CodeImprover", "other": {} }, @@ -738,9 +738,9 @@ }, { "metadata": { - "id": "4c32a8b5-6b75-42ff-b9c6-2d48e447ec0e", - "prompt_id": "e05d01ac-8ae8-4bb0-8387-6d9fc65f6595", - "node": "", + "id": "314150f0-910d-41da-a3e0-5498495fe860", + "prompt_id": "dee21046-6cc4-4ddb-8004-0f84e560b685", + "node": "StepRewriterNode", "agent": "CodeImprover", "other": {} }, @@ -750,20 +750,20 @@ }, { "metadata": { - "id": "4c32a8b5-6b75-42ff-b9c6-2d48e447ec0e", - "prompt_id": "e05d01ac-8ae8-4bb0-8387-6d9fc65f6595", - "node": "", + "id": "314150f0-910d-41da-a3e0-5498495fe860", + "prompt_id": "dee21046-6cc4-4ddb-8004-0f84e560b685", + "node": "StepRewriterNode", "agent": "CodeImprover", "other": {} }, "kind": "select_step", - "reasoning": "At step 3, the SoftwareEngineer agent wrote the initial code. This code did not include commands to install missing dependencies. Also, the code included a logical error with the end date being before the start date.", + "reasoning": "In step 3, SoftwareEngineer provides a code snippet that aims to compare the stocks of ServiceNow and Salesforce. However, the code snippet lacks installation commands for the necessary Python packages, which leads to errors during code execution by CodeExecutor due to missing libraries like 'yfinance' and 'matplotlib'. The logical error with incorrect date ranges (start_date set after end_date) is another issue in the same code block. Thus, improvements are needed in step 3 to add dependency installation instructions and fix the logical date error.", "step_index": 3 }, { "metadata": { - "id": "4c32a8b5-6b75-42ff-b9c6-2d48e447ec0e", - "prompt_id": "df7a68ea-e80d-408a-83e5-9ba830e00f53", + "id": "314150f0-910d-41da-a3e0-5498495fe860", + "prompt_id": "61e39239-3244-41d5-b490-d5a84c24d7ab", "node": "", "agent": "CodeImprover/StepRewriter", "other": {} @@ -778,8 +778,8 @@ "agent": "UserProxy/GroupChatManager/SoftwareEngineer", "other": {} }, - "content": "To make a plot comparing the stocks of ServiceNow (NOW) and Salesforce (CRM) since the beginning of 2024, we'll follow these steps:\n\n1. Import the necessary libraries.\n Make sure to install them using these commands before running your script:\n ```sh\n pip install yfinance matplotlib pandas\n ```\n2. Fetch the stock data for both ServiceNow and Salesforce from a financial data provider.\n3. Process the data to ensure it's in the correct format.\n4. Create a plot comparing both stocks.\n5. Save the plot to a PNG file.\n\nWe'll use the `yfinance` library to fetch the stock data, `pandas` for data manipulation, and `matplotlib` for plotting.\n\nHere's the complete code:\n\n```python\n# filename: compare_stocks.py\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2024-10-11' # Adjust the date to a future or reasonable date\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\nTo execute the script:\n\n1. Make sure you have Python installed along with the required libraries. Install any missing libraries using the command mentioned at the beginning of the script.\n2. Save the above code to a file named `compare_stocks.py`.\n3. Run the script using `python compare_stocks.py`.\n\nThis will fetch the stock data for ServiceNow and Salesforce starting from January 1, 2024, create a plot comparing their prices, and save the plot as `service_now_vs_salesforce.png`.", "kind": "respond", + "content": "To make a plot comparing the stocks of ServiceNow (NOW) and Salesforce (CRM) since the beginning of 2024, we'll follow these steps:\n\n1. Import the necessary libraries.\n2. Fetch the stock data for both ServiceNow and Salesforce from a financial data provider.\n3. Process the data to ensure it's in the correct format.\n4. Create a plot comparing both stocks.\n5. Save the plot to a PNG file.\n\nWe'll use the `yfinance` library to fetch the stock data, `pandas` for data manipulation, and `matplotlib` for plotting.\n\nHere are the necessary steps and the complete code:\n\nFirst, install the required libraries using pip:\n\n```sh\npip install yfinance matplotlib pandas\n```\n\nThen, use the following Python script:\n\n```python\n# filename: compare_stocks.py\n\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Step 1: Define stock tickers and time frame\nstock_symbols = ['NOW', 'CRM']\nstart_date = '2024-01-01'\nend_date = '2024-10-11' # Correct the date to a future or reasonable date\n\n# Step 2: Fetch the stock data\nstock_data = yf.download(stock_symbols, start=start_date, end=end_date)\n\n# Step 3: Process the data\n# Here we assume the 'Adj Close' prices to compare adjusted closing prices\nadj_close_data = stock_data['Adj Close']\n\n# Step 4: Create the plot\nplt.figure(figsize=(10, 6))\nfor symbol in stock_symbols:\n plt.plot(adj_close_data.index, adj_close_data[symbol], label=symbol)\n\n# Customize the plot\nplt.title('ServiceNow (NOW) vs Salesforce (CRM) Stock Prices')\nplt.xlabel('Date')\nplt.ylabel('Adjusted Closing Price (USD)')\nplt.legend()\nplt.grid(True)\nplt.tight_layout()\n\n# Step 5: Save the plot to a PNG file\nplt.savefig('service_now_vs_salesforce.png')\n\n# Show plot for verification\nplt.show()\n```\n\nTo execute the script:\n1. Run the command to install requirements: `pip install yfinance matplotlib pandas`.\n2. Save the script to a file named `compare_stocks.py`.\n3. Run the script using `python compare_stocks.py`.\n\nThis will fetch the stock data for ServiceNow and Salesforce starting from January 1, 2024, create a plot comparing their prices, and save the plot as `service_now_vs_salesforce.png`.", "copy_output": false } } diff --git a/tests/res/tape_improver/tapedata.sqlite b/tests/res/tape_improver/tapedata.sqlite index 35c9282b..1d2ee38b 100644 Binary files a/tests/res/tape_improver/tapedata.sqlite and b/tests/res/tape_improver/tapedata.sqlite differ