Magic-SSG
By Yoda-Canada
cool_ssg_generator
An SSG generator with a twist (by lmpham1)
Magic-SSG | cool_ssg_generator | |
---|---|---|
4 | 4 | |
0 | 0 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | over 2 years ago | |
Python | Python | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Magic-SSG
Posts with mentions or reviews of Magic-SSG.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-19.
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Lab10 Packaging and Releasing SSG
[metadata] name = magic-ssg version = 0.9.1 author = Tengzhen Zhao author_email = [email protected] description = A simple Static Site Generator tool, and it can help you to generate .html from .txt and .md files. long_description = file: README.md long_description_content_type = text/markdown url = https://github.com/Yoda-Canada/Magic-SSG project_urls = Bug Tracker = https://github.com/Yoda-Canada/Magic-SSG/issues classifiers = Programming Language :: Python :: 3 License :: OSI Approved :: MIT License Operating System :: OS Independent [options] package_dir = = src packages = find: python_requires = >=3.8.5 [options.packages.find] where = src
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Lab9 Continuous Integration Pipelines and Test Automation
I create a new branch named lab9, and add a new file named test_md_txt_title.py. After all function passed, I push the branch to the remote and pull a new PR. After GitHub Action passed the PR, I merged it.
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Working with Remote Branches
This week on my Open Source journey, I attempted to add support for JSON formatted configuration files for an open source Static Site Generator (SSG). The owner of the repo, Tengzhen, also contributed the same feature to my SSG, Silkie. However, I made a step forward by testing his code from a tracking branch before merging it.
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Review Lab 1
I find my partner- Le Minh Pham - through Slack and we both prefer Python. I just started learning Python, but he should be an expert. I learned some new libraries and methods after testing and reviewing Le’s code. I am surprised at the beautiful structure of his code. My partner helped me solve a big problem of finding folders, so I’m lucky to have such a partner. Reviewing and testing code is an exciting and painful thing for me. I'm excited because I can learn a lot of skills from my partner. For example, the original code only has one file, but after optimization, it has four files, and many auxiliary functions are added, and the structure is clearer. The pain is because as a new language, it takes me a long time to review and test it. Especially, my partner is very diligent. His code changes a lot every few days. Based on my level, it’s hard to find issues about his constantly improving code. Despite all this, I can still find problems and put forward what needs to be improved. For example, the issue “--input folder command line isn't working” https://github.com/lmpham1/cool_ssg_generator/issues/2 I also give some suggestion, for example, https://github.com/lmpham1/cool_ssg_generator/issues/3 There are 2 main issues about my code. https://github.com/Yoda-Canada/Magic-SSG/issues/1. https://github.com/Yoda-Canada/Magic-SSG/issues/2. Le give me lots of suggestion to fix the bugs, and I am fixing them. This lab is very important for me, because a lot of basic knowledge needs to be learned, and it also help me to recall the knowledge I learned before. I am confident to complete the future project
cool_ssg_generator
Posts with mentions or reviews of cool_ssg_generator.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-08.
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Github CI Integration
I contributed on Le Minh Pham's project which was written in Python. Unit testing in python was a lot simpler than using Java. I created two unit testings, which have test cases for horizontal rules and a combined markdown feature. First I failed on horizontal rules testing, and had to discuss with Le Minh Pham, he was able to fix the part where it breaks the
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Lab 4 - Adding config option for other student repo
After implementing my code I run some tests on my side when everything looks good. I commit, then push to remote then created a Pull Request #16. lmpham1 found a small bug in my code where I have to check correctly if it was a json file. After fixing it and pushed to the remote. lmpham1 merged my PR and the issue that was linked to it was closed automatically.
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Working With Pull Requests (Lab 2)
Changes I made
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Review Lab 1
I find my partner- Le Minh Pham - through Slack and we both prefer Python. I just started learning Python, but he should be an expert. I learned some new libraries and methods after testing and reviewing Le’s code. I am surprised at the beautiful structure of his code. My partner helped me solve a big problem of finding folders, so I’m lucky to have such a partner. Reviewing and testing code is an exciting and painful thing for me. I'm excited because I can learn a lot of skills from my partner. For example, the original code only has one file, but after optimization, it has four files, and many auxiliary functions are added, and the structure is clearer. The pain is because as a new language, it takes me a long time to review and test it. Especially, my partner is very diligent. His code changes a lot every few days. Based on my level, it’s hard to find issues about his constantly improving code. Despite all this, I can still find problems and put forward what needs to be improved. For example, the issue “--input folder command line isn't working” https://github.com/lmpham1/cool_ssg_generator/issues/2 I also give some suggestion, for example, https://github.com/lmpham1/cool_ssg_generator/issues/3 There are 2 main issues about my code. https://github.com/Yoda-Canada/Magic-SSG/issues/1. https://github.com/Yoda-Canada/Magic-SSG/issues/2. Le give me lots of suggestion to fix the bugs, and I am fixing them. This lab is very important for me, because a lot of basic knowledge needs to be learned, and it also help me to recall the knowledge I learned before. I am confident to complete the future project
What are some alternatives?
When comparing Magic-SSG and cool_ssg_generator you can also consider the following projects:
silkie - Static site generator with the smoothness of silk