ausaafnabi / ausaafnabi/ML-OverRPC-API

Implementing Better Solution for Template Generation

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enhancement help wanted question
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Python
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Description

# Overview :
Currently using dictionaries to create codebase that fetches code according to the required dependency. The problem is to have a **more efficient solution** that can also be **capable of adding dynamic components** to the pre-coded template and make the code not to prone to errors.
## Current Implementation :
```

def Fetch_dependency(dep , dict = CODEBASE):
dependency = []
for i in dict[dep]:
dependency.append(dict[dep][i]['code'])
return dependency
###################################################
# This is Temporary fix of the solution
# In the future there will be need of re-visit this module
# MODIFICATIONS NEEDED :
# - Parameters
# - Search Schema
# - file handling
#################################################

def Renderer(filename,extention, filetype):
dep = Fetch_dependency(filetype)
file = filename + extention
with open(file,'w') as virtualcoder:
#for i in dep:
virtualcoder.writelines(dep)
```

## Current Ideas for implementing better solution :

- Implement Using databases
- Implement Using json with logic for dynamic data implementation
- Create hyper-parameters like model to seperate out the variables and dynamic data with the code.

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