# coding=utf8
# the above tag defines encoding for this document and is for Python 2.x compatibility
import re
regex = r"(\d{4}-\d{2}-\d{2}\s\d{2}:\d{2}:\d{2},\d{3}\sINFO\sSYSTEM:\s+Command\s+(\w+)(.*?))(?=\d{4}-\d{2}-\d{2}\s\d{2}:\d{2}:\d{2})"
test_str = ("2023-04-18 20:54:20,056 INFO Welcome back! Would you like me to return to being breast cancer targets?\n"
"2023-04-18 20:54:24,004 INFO Using memory of type: RedisMemory\n"
"2023-04-18 20:54:24,144 INFO Using Browser: chrome\n"
"2023-04-18 20:54:35,841 INFO THOUGHTS: I think the first step is to gather some background information on breast cancer and existing targets for treatment. I can do this by using a Google search.\n"
"2023-04-18 20:54:36,461 INFO REASONING: By conducting a Google search, I can quickly and easily access a wide range of information on breast cancer and existing treatments. This will help me to identify gaps in current knowledge and potential targets for research.\n"
"2023-04-18 20:54:37,032 INFO PLAN: \n"
"2023-04-18 20:54:37,077 INFO - Use a Google search to research breast cancer and existing treatment targets.\n"
"2023-04-18 20:54:37,332 INFO - Save any relevant information to files for future reference.\n"
"2023-04-18 20:54:37,596 INFO CRITICISM: I should be careful not to rely too heavily on information from a single source, and should verify any information I use with reputable sources.\n"
"2023-04-18 20:54:38,039 INFO NEXT ACTION: COMMAND = google ARGUMENTS = {'input': 'breast cancer targets'}\n"
"2023-04-18 20:55:52,585 INFO -=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-= \n"
"2023-04-18 20:55:54,039 INFO SYSTEM: Command google returned: [\n"
" {\n"
" \"title\": \"Targeted Drug Therapy | Breast Cancer Treatment\",\n"
" \"href\": \"https://www.cancer.org/cancer/breast-cancer/treatment/targeted-therapy-for-breast-cancer.html\",\n"
" \"body\": \"Targeted drug therapy uses medicines that are directed at (target) proteins on breast cancer cells that help them grow, spread, and live longer. Targeted drugs work to destroy cancer cells or slow down their growth. They have side effects different from chemotherapy.\"\n"
" },\n"
" {\n"
" \"title\": \"Breast Cancer: Current Molecular Therapeutic Targets and New Players\",\n"
" \"href\": \"https://pubmed.ncbi.nlm.nih.gov/27137076/\",\n"
" \"body\": \"Agents that target estrogen receptor (ER) and HER2 such as tamoxifen and trastuzumab have been the most extensively used therapeutics for breast cancer. Crosstalk between ER and other signalling networks as well as epigenetic mechanisms have been envisaged to contribute to endocrine therapy resistance.\"\n"
" },\n"
" {\n"
" \"title\": \"Targeted Therapies for Breast Cancer: Ibrance, Herceptin, Verzenio, and ...\",\n"
" \"href\": \"https://www.breastcancer.org/treatment/targeted-therapy\",\n"
" \"body\": \"Anti-HER2 therapies (also called HER2 inhibitors or HER2-targeted therapies) are a class of medicines used to treat all stages of HER2-positive breast cancer, from early-stage to metastatic. Metastatic breast cancer is cancer that has spread to other parts of the body away from the breast, such as the bones or liver.\"\n"
" },\n"
" {\n"
" \"title\": \"Breast Cancer Targeted Therapies - Memorial Sloan Kettering Cancer Center\",\n"
" \"href\": \"https://www.mskcc.org/cancer-care/types/breast/treatment/systemic-therapy/targeted-therapies\",\n"
" \"body\": \"A current focus of breast cancer research is to find drugs that work by targeting specific molecules involved in breast cancer development. For example, some breast cancer cells have an overactive HER2/neu gene, which causes overproduction of the HER2/neu protein and leads to more-aggressive tumors.Drugs that inactivate or otherwise target the HER2/neu protein are usually given in combination ...\"\n"
" },\n"
" {\n"
" \"title\": \"Researchers identify promising new target for drug-resistant breast and ...\",\n"
" \"href\": \"https://www.colorado.edu/today/2023/04/12/researchers-identify-promising-new-target-drug-resistant-breast-and-ovarian-cancers\",\n"
" \"body\": \"The findings, published Tuesday in the journal Molecular Cell, identify a promising new target for treating cancers fueled by certain genetic mutations, including mutations in the BRCA1 and BRCA2 genes. The research could lead to new therapies that have fewer side effects and work against cancers that have grown resistant to existing treatments.\"\n"
" },\n"
" {\n"
" \"title\": \"Breast Cancer: Targets and Therapy: Vol 13, No\",\n"
" \"href\": \"https://www.tandfonline.com/toc/dbct20/2021\",\n"
" \"body\": \"Breast Cancer: Targets and Therapy, Volume 13, Issue (2021) See all volumes and issues. Vol 15, 2023 Vol 14, 2022 Volume 13, 2021 Vol 12, 2020 Vol 11, 2019 Vol 10, 2018 Vol 9, 2017 Vol 8, 2016 Vol 7, 2015 Vol 6, 2014 Vol 5, 2013 Vol 3, 2011 Vol 2, 2010 Vol 1, 2009.\"\n"
" },\n"
" {\n"
" \"title\": \"Breast Cancer: Targets and Therapy - Dove Medical Press\",\n"
" \"href\": \"https://www.dovepress.com/breast-cancer---targets-and-therapy-journal\",\n"
" \"body\": \"Breast Cancer: Targets and Therapy is an international, peer reviewed, open access journal focusing on breast cancer, basic and translational research, clinical trials and treatment. The latter includes outcome studies that incorporate preventative and integrated treatment strategies for enhanced survival, and quality of life for cancer patients.\"\n"
" },\n"
" {\n"
" \"title\": \"Breast Cancer: Targets and Therapy | Taylor & Francis Online\",\n"
" \"href\": \"https://www.tandfonline.com/journals/dbct20\",\n"
" \"body\": \"Breast Cancer: Targets and Therapy is an international, peer reviewed, open access journal focusing on breast cancer, basic and translational research, clinical trials and treatment. The latter includes outcome studies that incorporate preventative and integrated treatment strategies for enhanced survival, and quality of life for cancer patients.\"\n"
" }\n"
"]\n"
"2023-04-18 20:56:09,651 INFO THOUGHTS: From the search results, I see that previous targets for breast cancer treatment include targeting the estrogen receptor, HER2 and other signaling networks. I also found information on new targets for drug-resistant breast and ovarian cancers. To delve deeper into potential targets, I should browse relevant websites and scientific research papers. However, sorting through research can be time-consuming, so I will start a new GPT agent to help me with this task.\n"
"2023-04-18 20:56:10,414 INFO REASONING: Browsing websites and scientific research papers will provide me with more information about potential targets for breast cancer treatment. However, sorting through multiple papers can be time-consuming, so delegating some part of the job to a GPT agent is an efficient strategy to save time.\n"
"2023-04-18 20:56:11,095 INFO PLAN: \n"
"2023-04-18 20:56:11,128 INFO - Start a new GPT agent and provide it with relevant details.\n"
"2023-04-18 20:56:11,479 INFO - Delegate browsing of websites and scientific research papers to the agent.\n"
"2023-04-18 20:56:11,768 INFO CRITICISM: I need to be specific with the agent's task and provide it with clear guidance, so it finds relevant and recent research papers.\n"
"2023-04-18 20:56:12,188 INFO NEXT ACTION: COMMAND = start_agent ARGUMENTS = {'name': 'breast cancer targets agent', 'task': 'Browsing relevant websites and scientific research papers on potential targets for breast cancer treatment', 'prompt': 'Please browse relevant scientific journals and websites to find information on novel targets for breast cancer treatment.'}\n"
"2023-04-18 20:56:28,286 INFO SYSTEM: Command start_agent returned: Agent breast cancer targets agent created with key 0. First response: As an AI language model, I do not have browsing capabilities, but I can provide you with some information on novel targets for breast cancer treatment based on scientific literature. Some of the most promising targets for breast cancer treatment include:\n\n"
"1. HER2: This protein is overexpressed in about 25% of breast cancers and has been successfully targeted with drugs such as trastuzumab, lapatinib, and pertuzumab.\n\n"
"2. CDK4/6: Cyclin-dependent kinases 4 and 6 are involved in the regulation of cell cycle progression, and inhibition of these kinases has been shown to effectively halt the growth of hormone receptor-positive breast cancer cells. Palbociclib, ribociclib, and abemaciclib are some examples of CDK4/6 inhibitors.\n\n"
"3. PI3K/AKT/mTOR pathway: This pathway is involved in cell survival and proliferation, and its dysregulation has been linked to breast cancer. Inhibitors of this pathway, such as everolimus, have shown efficacy in some breast cancer subtypes.\n\n"
"4. PARP: Poly(ADP-ribose) polymerase is involved in DNA repair, and inhibition of this enzyme has shown promise in treating breast cancers with BRCA mutations.\n\n"
"5. PD-L1: This immune checkpoint protein is overexpressed in some breast cancers, and blocking it with antibodies such as pembrolizumab has shown some activity in clinical trials.\n\n"
"6. BET proteins: These proteins are involved in gene transcription, and inhibitors of these proteins have been shown to inhibit the growth of some breast cancer cell lines.\n\n"
"These are just some examples of novel targets for breast cancer treatment, and research in this field is ongoing.\n"
"2023-04-18 20:56:42,730 INFO THOUGHTS: Based on the response from the GPT agent, I have some potential targets for breast cancer treatment. To get more information about the targets, I can search for scientific research papers or relevant websites. However, since the list of potential targets is long, I will start by narrowing down the list to a few targets based on their relevance and novelty.\n"
"2023-04-18 20:56:43,334 INFO REASONING: Narrowing down my list of potential targets before further research will save time and make my research more efficient.\n"
"2023-04-18 20:56:43,732 INFO PLAN: \n"
"2023-04-18 20:56:43,769 INFO - Use the previous scientific targets as a starting point to narrow down to the most promising ones.\n"
"2023-04-18 20:56:44,163 INFO - Use the Google search to look for more information on the narrowed-down breast cancer targets.\n"
"2023-04-18 20:56:44,472 INFO - Read relevant scientific papers to gain more information about the targets.\n"
"2023-04-18 20:56:44,817 INFO CRITICISM: I need to be more clear about how to narrow down the list of potential targets, so I can get a more refined target list.\n"
"2023-04-18 20:56:45,347 INFO NEXT ACTION: COMMAND = google ARGUMENTS = {'input': 'Novel targets for breast cancer treatment'}\n"
"2023-04-18 20:56:46,999 INFO SYSTEM: Command google returned: [\n"
" {\n"
" \"title\": \"Novel immune targets for the treatment of triple-negative breast cancer\",\n"
" \"href\": \"https://pubmed.ncbi.nlm.nih.gov/34763593/\",\n"
" \"body\": \"Novel immune targets for the treatment of triple-negative breast cancer Novel immune targets for the treatment of triple-negative breast cancer Expert Opin Ther Targets. 2021 Nov 11. doi: 10.1080/14728222.2021.2006187. Online ahead of print. Authors Chiara Corti 1 2 , Eleonora Nicolò 1 2 , Giuseppe Curigliano 1 2 Affiliations\"\n"
" },\n"
" {\n"
" \"title\": \"New and Emerging Targeted Therapies for Advanced Breast Cancer\",\n"
" \"href\": \"https://pubmed.ncbi.nlm.nih.gov/35216405/\",\n"
" \"body\": \"Primary breast cancer treatments can include surgery, radiation therapy, systemic chemotherapy, endocrine therapy, and/or targeted therapy. Endocrine therapy has been shown to be effective in hormone receptor-positive breast cancers and is a common choice for adjuvant therapy.\"\n"
" },\n"
" {\n"
" \"title\": \"Novel Therapeutic Targets Discovered for Triple-Negative Breast Cancer\",\n"
" \"href\": \"https://news.feinberg.northwestern.edu/2023/01/18/novel-therapeutic-targets-discovered-for-triple-negative-breast-cancer/\",\n"
" \"body\": \"Novel Therapeutic Targets Discovered for Triple-Negative Breast Cancer By Melissa Rohman Jan 18, 2023 Bin Zhang, MD, PhD, professor of Medicine in the Division of Hematology and Oncology and of Microbiology-Immunology, was co-senior author of the study published in Science Advances.\"\n"
" },\n"
" {\n"
" \"title\": \"PDF Current Therapies and Novel Targets in Treatment of Breast Cancer\",\n"
" \"href\": \"https://www.sysrevpharm.org/articles/current-therapies-and-novel-targets-in-treatment-of-breast-cancer.pdf\",\n"
" \"body\": \"review current drugs used in treatment of breast cancer and the novel targets which will be used safe and effective management of breast cancer. have increased survival rates, extensive efforts have been directed at improving outcomes with more targeted therapies. Treatment of breast cancer Cancer treatment is either local therapy or systemic ...\"\n"
" },\n"
" {\n"
" \"title\": \"Matching Novel Targets to Treatment Generates Excitement in TNBC - OncLive\",\n"
" \"href\": \"https://www.onclive.com/view/matching-novel-targets-to-treatment-generates-excitement-in-tnbc\",\n"
" \"body\": \"Matching Novel Targets to Treatment Generates Excitement in TNBC. Neelima Vidula, MD, discusses the current and future utility of PARP inhibitors in triple-negative breast cancer, the promise of ...\"\n"
" },\n"
" {\n"
" \"title\": \"Emerging Immunotherapies against Novel Molecular Targets in Breast Cancer\",\n"
" \"href\": \"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957700/\",\n"
" \"body\": \"Immunotherapy is a highly emerging form of breast cancer therapy that enables clinicians to target cancers with specific receptor expression profiles. Two popular immunotherapeutic approaches involve chimeric antigen receptor-T cells (CAR-T) and bispecific antibodies (BsAb).\"\n"
" },\n"
" {\n"
" \"title\": \"Novel cancer therapies: treatments driven by tumour biology\",\n"
" \"href\": \"https://pmj.bmj.com/content/89/1057/652\",\n"
" \"body\": \"Four of these hallmarks have been the main focus of drug development to date and will be explored here: inhibition of proliferative signals; targeting the vascular supply of the tumour (angiogenesis); exploiting the genomic instability of tumours; tackling immune evasion by the cancer cells and the ability of cancer cells to evade immune detection.\"\n"
" },\n"
" {\n"
" \"title\": \"Scientists pinpoint druggable target in aggressive breast cancer\",\n"
" \"href\": \"https://www.sciencedaily.com/releases/2022/10/221025153406.htm\",\n"
" \"body\": \"Researchers have set their sights on a new therapeutic target for an aggressive form of breast cancer with limited treatment options. Through a comprehensive and cutting-edge genomic screening ...\"\n"
" }\n"
"]\n"
"2023-04-18 20:57:00,510 INFO THOUGHTS: Based on the Google search results, it seems that HER2 and estrogen receptor (ER) have been the most extensively used therapeutic targets for breast cancer. These targets have known inhibitors like trastuzumab and tamoxifen respectively. I can use this information to narrow my focus on the current research that has been done on these targets in the recent years.\n"
"2023-04-18 20:57:01,296 INFO REASONING: Identifying the most extensively used therapeutic targets and their inhibitors is a good starting point for identifying gaps in current knowledge and potential targets for research. This will help me narrow my focus to current research on these targets in recent years.\n"
"2023-04-18 20:57:01,948 INFO PLAN: \n"
"2023-04-18 20:57:01,998 INFO - Narrow my focus on the current research that has been done on HER2 and ER targets in breast cancer.\\n- Save any relevant information to files for future reference.\n"
"2023-04-18 20:57:02,506 INFO CRITICISM: It is important to ensure that the information I gather is recent and from reputable sources to avoid falling behind current practices and outdated information.\n"
"2023-04-18 20:57:03,000 INFO NEXT ACTION: COMMAND = google ARGUMENTS = {'input': 'current research on HER2 and ER targets in breast cancer'}\n"
"2023-04-18 20:57:04,516 INFO SYSTEM: Command google returned: [\n"
" {\n"
" \"title\": \"Targeting HER2-positive breast cancer: advances and future directions ...\",\n"
" \"href\": \"https://www.nature.com/articles/s41573-022-00579-0\",\n"
" \"body\": \"The long-sought discovery of HER2 as an actionable and highly sensitive therapeutic target was a major breakthrough for the treatment of highly aggressive HER2-positive breast cancer,...\"\n"
" },\n"
" {\n"
" \"title\": \"Research on Current and Emerging HER2-targeted Agents Continues to ...\",\n"
" \"href\": \"https://www.onclive.com/view/research-on-current-and-emerging-her2-targeted-agents-continues-to-advance-breast-cancer-treatment\",\n"
" \"body\": \"We've shown that targeting HER2 mutations in breast cancer can be achieved by using a TKI [like] neratinib. This trial was based on laboratory results from Ron Bose, MD, PhD, of Washington...\"\n"
" },\n"
" {\n"
" \"title\": \"Perspectives on Triple-Negative Breast Cancer: Current ... - PubMed\",\n"
" \"href\": \"https://pubmed.ncbi.nlm.nih.gov/32846967/\",\n"
" \"body\": \"Abstract Triple-negative breast cancer (TNBC), characterized by the absence or low expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor (HER2), is the most aggressive subtype of breast cancer.\"\n"
" },\n"
" {\n"
" \"title\": \"Current Landscape of Targeted Therapy in Hormone Receptor-Positive and ...\",\n"
" \"href\": \"https://pubmed.ncbi.nlm.nih.gov/34064867/\",\n"
" \"body\": \"Abstract Background: Hormone receptor-positive and HER2-negative breast cancer (HR + BC) is the most prevalent breast cancer. Endocrine therapy is the mainstay of treatment, however, due to the heterogeneous nature of the disease, resistance to endocrine therapy is not uncommon.\"\n"
" },\n"
" {\n"
" \"title\": \"HER2 and Breast Cancer — A Phenomenal Success Story | NEJM\",\n"
" \"href\": \"https://www.nejm.org/doi/full/10.1056/NEJMcibr1909386\",\n"
" \"body\": \"The gene that encodes HER2 ( ERBB2, formerly known as neu) is amplified and overexpressed in approximately 20% of newly diagnosed breast cancers. 4 This observation, followed by inspired and ...\"\n"
" },\n"
" {\n"
" \"title\": \"New potential therapeutic approach for HER2-positive breast cancer ...\",\n"
" \"href\": \"https://medicalxpress.com/news/2023-03-potential-therapeutic-approach-her2-positive-breast.html\",\n"
" \"body\": \"In a recent study published in the Journal of Experimental & Clinical Cancer Research, the researchers showed that EDI3 expression is highest in ER-HER2+ breast tumors in humans and that...\"\n"
" },\n"
" {\n"
" \"title\": \"Breast Cancer Therapeutics and Biomarkers: Past, Present, and Future ...\",\n"
" \"href\": \"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100889/\",\n"
" \"body\": \"Introduction. Breast cancer (BC) is the leading cause of cancer death in women and the second-most common cancer overall, with 2 million new cases diagnosed in 2018 and more than 600 000 deaths attributed to the disease. 1 In the United States, an estimated 281 550 new cases of invasive BC will be diagnosed in women, and about 43 600 will die during 2021. 2 This scenario is prompting continual ...\"\n"
" },\n"
" {\n"
" \"title\": \"Design of SERENA-6, a phase III switching trial of camizestrant in\",\n"
" \"href\": \"https://www.futuremedicine.com/doi/full/10.2217/fon-2022-1196\",\n"
" \"body\": \"Hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) tumors account for more than two-thirds of all breast cancers [].Endocrine therapies that suppress estrogen receptor (ER) alpha signaling are the treatment backbone for HR+/HER2- advanced breast cancer (ABC) [].Aromatase inhibitors (AIs; letrozole, anastrozole and exemestane) inhibit estrogen synthesis ...\"\n"
" }\n"
"]\n"
"2023-04-18 20:57:24,366 INFO THOUGHTS: Now that I have gathered information on potential breast cancer targets, it would be beneficial to create a chart or table that compares the targets in terms of effectiveness and treatment options. I should clone a template for creating tables, fill in the relevant data, and save it to a file. Writing a Python script to parse through the information and create a table is a good option. I can use the 'clone_repository' command to clone a package that helps create tables.\n"
"2023-04-18 20:57:25,086 INFO REASONING: Organizing information in a table will help visualize the comparison of the different breast cancer targets in terms of their effectiveness and past treatments. Using a package for table creation, such as data frame libraries in Pandas, can help save time and efficiently create a table based on the extracted data.\n"
"2023-04-18 20:57:25,652 INFO PLAN: \n"
"2023-04-18 20:57:25,734 INFO - Clone a table creation package and use it to create a table based on the information I have gathered on potential breast cancer targets. \\\\n- Fill in the relevant data and save the finalized table to a file.\n"
"2023-04-18 20:57:26,376 INFO CRITICISM: Creating an efficient and informative table from the extracted information may not be a quick task and requires skill in using the script. We need to ensure that the script has no errors and the output is useful.\n"
"2023-04-18 20:57:27,034 INFO NEXT ACTION: COMMAND = clone_repository ARGUMENTS = {'repository_url': 'https://github.com/dmnfarrell/pandasgui.git', 'clone_path': './pandasgui'}\n"
"2023-04-18 20:57:28,115 INFO SYSTEM: Command clone_repository returned: Error: Cmd('git') failed due to: exit code(128)\n"
" cmdline: git clone -v -- https://*****:*****@github.com/dmnfarrell/pandasgui.git /home/appuser/auto_gpt_workspace/pandasgui\n"
" stderr: 'Cloning into '/home/appuser/auto_gpt_workspace/pandasgui'...\n"
"remote: Repository not found.\n"
"fatal: repository 'https://github.com/dmnfarrell/pandasgui.git/' not found\n"
"'\n"
"2023-04-18 20:57:56,191 INFO Apparently json was fixed. \n"
"2023-04-18 20:57:57,267 ERROR Error: The following AI output couldn't be converted to a JSON:\n"
" {\n"
" \"thoughts\": {\n"
" \"text\": \"It seems the Git repository is not working, possibly because it is a private repository. However, Python has built-in libraries to create tables, including the popular Pandas library. I can use the Pandas library to create a comparative table of potential targets for breast cancer. I can use the information from the previous search to create the table by reading the data from the PubMed database. I recommend using the 'evaluate_code' command to create Python code to extract information from the database.\",\n"
" \"reasoning\": \"Using Python libraries such as Pandas can create tables easily without the need for an external repository. Extracting information from the PubMed database via Python code is faster and more efficient than manual entry of the data into the table. The 'evaluate_code' command can create the necessary code to parse through the PubMed database and extract data to create a table.\",\n"
" \"plan\": \"- Use the built-in Pandas library in Python to create a comparative table for the potential breast cancer targets. \\\\\\\\n- Write code to extract relevant data from the PubMed database. \\\\\\\\n- Add the extracted data to the Pandas dataframe and create a table. \\\\\\\\n- Save the table to a file.\",\n"
" \"criticism\": \"While using the built-in libraries makes the script more portable, it may lack some flexibility compared to using external repositories. Therefore, it is necessary to ensure the code created correctly extracts the required information from the database.\",\n"
" \"speak\": \"It seems the Git repository is not working. However, Python has built-in libraries such as Pandas that can create tables easily. We can use the Pandas library to create a comparative table for potential breast cancer targets based on data from the PubMed database. Shall I create a Python script to extract and process the necessary data from the PubMed database using the 'evaluate_code' command?\"\n"
" },\n"
" \"command\": {\n"
" \"name\": \"evaluate_code\",\n"
" \"args\": {\n"
" \"code\": \"import pandas as pd\\nimport pymysql\\n\\nconnection = pymysql.connect(database='pubmed', user='guest', password='guest', host='eutils.ncbi.nlm.nih.gov')\\n\\ndef fetch(query):\\n with connection.cursor() as cursor:\\n cursor.execute(query)\\n data = cursor.fetchall()\\n return pd.DataFrame(data)\\n\\ndef strip_result(result):\\n return pd.DataFrame([r for r in result[0]])[[0, 7, 15]].rename(columns={0: 'title', 7: 'authors', 15: 'url'})\\n\\ndef fetch_breast_cancer_targets():\\n query = 'SELECT Title,AuthorsList,Reference FROM pubmed WHERE Title LIKE \\\\\"Breast Cancer\\\\\" ORDER BY DateCreated desc'\\n df = fetch(query)\\n return strip_result(df)\\n\\nbc_targets = fetch_breast_cancer_targets()\\nprint(bc_targets)\\n\"\n"
" }\n"
" }\n"
"}\n"
"2023-04-18 20:57:57,271 INFO NEXT ACTION: COMMAND = clone_repository ARGUMENTS = {'repository_url': 'https://github.com/dmnfarrell/pandasgui.git', 'clone_path': './pandasgui'}\n"
"2023-04-18 21:55:11,929 INFO -=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-= \n"
"2023-04-18 21:55:12,847 INFO SYSTEM: Command clone_repository returned: Error: Cmd('git') failed due to: exit code(128)\n"
" cmdline: git clone -v -- https://*****:*****@github.com/dmnfarrell/pandasgui.git /home/appuser/auto_gpt_workspace/pandasgui\n"
" stderr: 'Cloning into '/home/appuser/auto_gpt_workspace/pandasgui'...\n"
"remote: Repository not found.\n"
"fatal: repository 'https://github.com/dmnfarrell/pandasgui.git/' not found\n"
"'\n"
"2023-04-18 21:55:30,110 INFO THOUGHTS: It seems that the Git repository is not available, and I was not able to clone it on this attempt. I can use the 'execute_shell' command to install the Pandas GUI module using pip. This module allows the user to use a GUI to easily create pandas dataframes and tables, eliminating the need for hand-coding them. After installation, I can import the module into my code and create the table using the GUI tool or ```evaluate_code``` command if needed.\n"
"2023-04-18 21:55:30,728 INFO REASONING: Since we were not able to clone the repository, it may be beneficial to try an alternative method which involves installing a Pandas GUI through pip to generate tables. This approach can help eliminate the need for writing code manually, reducing any human error, and also saving some time.\n"
"2023-04-18 21:55:31,397 INFO PLAN: \n"
"2023-04-18 21:55:31,479 INFO - Install the Pandas GUI module using pip by calling the 'execute_shell' command. \\\\n- Import the module in code or use the GUI to create the table. \\\\n- Save the table to a file.\n"
"2023-04-18 21:55:31,982 INFO CRITICISM: Although using the GUI makes coding the table easier, it may not be as efficient when dealing with large amounts of data. Additionally, GUI based solutions might be harder to share if someone else wants to reproduce the solution created, without having the same exact setup in place.\n"
"2023-04-18 21:55:32,663 INFO NEXT ACTION: COMMAND = execute_shell ARGUMENTS = {'command_line': 'pip install pandasgui'}\n")
matches = re.finditer(regex, test_str, re.MULTILINE | re.DOTALL)
for matchNum, match in enumerate(matches, start=1):
print ("Match {matchNum} was found at {start}-{end}: {match}".format(matchNum = matchNum, start = match.start(), end = match.end(), match = match.group()))
for groupNum in range(0, len(match.groups())):
groupNum = groupNum + 1
print ("Group {groupNum} found at {start}-{end}: {group}".format(groupNum = groupNum, start = match.start(groupNum), end = match.end(groupNum), group = match.group(groupNum)))
# Note: for Python 2.7 compatibility, use ur"" to prefix the regex and u"" to prefix the test string and substitution.
Please keep in mind that these code samples are automatically generated and are not guaranteed to work. If you find any syntax errors, feel free to submit a bug report. For a full regex reference for Python, please visit: https://docs.python.org/3/library/re.html