{"id":7266,"date":"2023-08-21T09:35:42","date_gmt":"2023-08-21T17:35:42","guid":{"rendered":"https:\/\/live-cometml.pantheonsite.io\/?p=7266"},"modified":"2025-04-24T17:14:37","modified_gmt":"2025-04-24T17:14:37","slug":"sslcertificate_verify_failed-error-in-comet-fixed","status":"publish","type":"post","link":"https:\/\/www.comet.com\/site\/blog\/sslcertificate_verify_failed-error-in-comet-fixed\/","title":{"rendered":"\u201cSSL:CERTIFICATE_VERIFY_FAILED\u201d Error in Comet\u2014 Fixed"},"content":{"rendered":"\n\n\n\n\n
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image by author<\/figcaption><\/figure>\n\n\n\n

The funny thing about programming is that bugs can often be a real headache. For example, a code running today may be broken tomorrow if poorly managed by the developers. Whenever a bug is found, the debugging process has to take place in order to solve the issue at hand.<\/p>\n\n\n\n

Recently I was working with Comet<\/a>, and I was trying to log my visualizations to the platform after I have created my account, copied my API keys, and also written my code in my Jupyter notebook.<\/p>\n\n\n\n

I was getting the \u201cSSL:CERTIFICATE_VERIFY_FAILED<\/strong>\u201d error repeatedly anytime I try to deploy my code to the platform.<\/p>\n\n\n\n

Here is what the error looks like:<\/p>\n\n\n\n

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error image<\/figcaption><\/figure>\n\n\n\n

If you are experiencing this, then let us walk through the issue together and solve this error.<\/p>\n\n\n\n

Comet<\/h1>\n\n\n\n

Comet is an experimentation platform that allows you to track, monitor, and compare your Machine Learning experiments. You can write your code in your preferred language, and then compare the results of your experiments in the Comet interface. I personally use Comet with python, but you can also use Comet with R and Java.<\/p>\n\n\n\n

Let\u2019s have a look at the code I wrote.<\/p>\n\n\n\n

# importing the required libarary\nimport pandas as pd\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n\ndf = pd.read_excel(\"online_retail_II.xlsx\")\n\ndf.head()\n\n#Bar chart visualisation\nmask_df = df[\"Country\"].value_counts().head(10)\nfig1 = plt.figure(figsize=(12, 10))\nplt.bar(x = mask_df.index, height=mask_df, color=\"sienna\")\nplt.xlabel(\"Country\")\nplt.ylabel(\"Counts\")\nplt.title(\"Numbers of Orders from Countries Over the Years\")\nplt.xticks(rotation=45);\n\n#Histogram visualization\nfig2 = plt.figure(figsize=(12, 10))\nsns.histplot(df[\"InvoiceDate\"], color=\"darkslategrey\", bins=50)\nplt.title(\"Distribution of the Invoice Date\");\n\n# import comet_ml at the top of your file\nfrom comet_ml import Experiment\n\n# Create an experiment with your api key\nexperiment = Experiment(\n    api_key = \"your API key\",\n    project_name = \"viz\",\n    workspace=\"zenunicorn\",\n)\n\n#logging the viz to comet\nexperiment.log_figure(figure_name=\"Matplotlib Viz\", figure=fig1)\nexperiment.log_figure(figure_name= \"Seaborn Viz\", figure=fig2)\n\n#always end your experiment\nexperiment.end()\n\n@zenUnicorn<\/pre>\n\n\n\n
From the code above,<\/p>\n\n\n\n
    \n
  • We imported the necessary libraries needed to perform this experiment, such as pandas, seaborn, and matplotlib.<\/li>\n\n\n\n
  • In the next two code segments, we visualized the dataset using a bar chart and a histogram.<\/li>\n\n\n\n
  • Finally, we imported Comet into our project and logged the visualizations to the Comet platform.<\/li>\n<\/ul>\n\n\n\n
    It is at this stage that you will notice the error popping up everywhere on your screen.<\/p>\n\n\n\n
    \n
    Note<\/strong>: It is important that you have a stable internet connection when deploying to Comet, in order to avoid running into errors.<\/p>\n<\/blockquote>\n\n\n\n
    Fixing the error<\/h1>\n\n\n\n
    Often time the people that run into these errors are users on macOS or OSX, and this is because python 3.6 or higher has no certificates installed at all, therefore it can\u2019t validate any SSL connections. This means we will get errors whenever we try to connect to an HTTPS:\/\/ <\/strong>website.<\/p>\n\n\n\n
    This is a change in new versions of python 3 and requires a post-install step, in which we have to install the certifi <\/code>package of certificates. We can check out the documentation which is available in the ReadME.rtf<\/strong> file in our python applications directory, accessible via: \/Applications\/Python\/3.9\/ReadeMe.rtf<\/code> .<\/p>\n\n\n\n
    Let\u2019s copy and paste this code into our IDE (I am using Jupyter notebook).<\/p>\n\n\n\n
    # install_certifi.py\n#\n# sample script to install or update a set of default Root Certificates\n# for the ssl module.  Uses the certificates provided by the certifi package:\n# https:\/\/pypi.python.org\/pypi\/certifi\nimport os\nimport os.path\nimport ssl\nimport stat\nimport subprocess\nimport sys\nSTAT_0o775 = ( stat.S_IRUSR | stat.S_IWUSR | stat.S_IXUSR\n             | stat.S_IRGRP | stat.S_IWGRP | stat.S_IXGRP\n             | stat.S_IROTH |                stat.S_IXOTH )\ndef main():\n    openssl_dir, openssl_cafile = os.path.split(\n        ssl.get_default_verify_paths().openssl_cafile)\n    print(\" -- pip install --upgrade certifi\")\n    subprocess.check_call([sys.executable,\n        \"-E\", \"-s\", \"-m\", \"pip\", \"install\", \"--upgrade\", \"certifi\"])\n    import certifi\n    # change working directory to the default SSL directory\n    os.chdir(openssl_dir)\n    relpath_to_certifi_cafile = os.path.relpath(certifi.where())\n    print(\" -- removing any existing file or link\")\n    try:\n        os.remove(openssl_cafile)\n    except FileNotFoundError:\n        pass\n    print(\" -- creating symlink to certifi certificate bundle\")\n    os.symlink(relpath_to_certifi_cafile, openssl_cafile)\n    print(\" -- setting permissions\")\n    os.chmod(openssl_cafile, STAT_0o775)\n    print(\" -- update complete\")\nif __name__ == '__main__':\n    main()<\/pre>\n\n\n\n
    \"\"\/
    certifi certificate installation\/configuration<\/figcaption><\/figure>\n\n\n\n
      \n
    • The code runs and first installs the certifi<\/code> python package.<\/li>\n\n\n\n
    • It also creates a symbolic link from the OpenSSL<\/strong> certificates file to the certificates file installed by the package certifi<\/code>.<\/li>\n<\/ul>\n\n\n\n
      The Certificates.command<\/strong> file is installed into our python app directory, it is basically a terminal script so we just click on it and allow it to run. Close it after it is done running.<\/p>\n\n\n\n
      We have to head back to our terminal and restart the Jupyter notebook. After that is done we can now try to deploy to Comet agai346806n, we will notice that it works perfectly without the SSL Certificate Errors, <\/strong>and all our visualizations are logged into our project.<\/p>\n\n\n\n
      \"\"\/<\/figure>\n\n\n\n
      We will also get an email notification that our experiment has been logged.<\/p>\n\n\n\n
      \"\"\/<\/figure>\n\n\n\n
      \n
      \n