espin086 / GPT-Jobhunter

AI-powered job analysis and resume coaching tool using GPT. Analyzes job postings and provides personalized recommendations to job seekers for improving their resumes.
MIT License
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Refactoring Request for transform.py #113

Closed espin086 closed 8 months ago

espin086 commented 8 months ago

I would like to request a refactoring of the code in transform.py. I believe that converting the code into a class would greatly simplify its architecture and improve its maintainability. Currently, the code consists of multiple functions that operate on a single data type, a list of JSON files. By creating a class that operates on a list of JSON objects, each of these functions can be transformed into methods, resulting in a more organized and cohesive codebase.

The proposed class structure would allow for better encapsulation and reusability of code. It would also make it easier to manage the state of the data being processed, as the class can maintain the data as an instance variable. Additionally, the class can provide a clear interface for interacting with the data and performing various transformations on it.

I suggest naming the class "DataTransformer" and placing it in a separate file called "data_transformer.py". The class can have the following methods:

  1. __init__(self, data: List[dict]): Initializes the DataTransformer object with the input data.

  2. delete_json_keys(self, *keys): Deletes the specified keys from each JSON object in the data.

  3. drop_variables(self): Drops the variables that are not needed for the analysis from each JSON object in the data.

  4. remove_duplicates(self): Removes duplicate dictionaries from the data.

  5. rename_keys(self, key_map: dict): Renames keys in each JSON object based on a key map.

  6. convert_keys_to_lowercase(self, *keys): Converts the values of the specified keys to lowercase in each JSON object.

  7. add_description_to_json_list(self): Gathers job descriptions from the web and adds them to each JSON object in the data.

  8. extract_salaries(self): Extracts salaries from the job descriptions in each JSON object.

  9. compute_resume_similarity(self, resume_text: str): Computes the similarity between the resume text and the job descriptions in each JSON object.

  10. transform(self): Executes all the transformation methods in the desired order and saves the processed data.

By refactoring the code into a class, it will be easier to manage and extend the functionality in the future. I believe this change will greatly improve the overall structure and readability of the code.

espin086 commented 8 months ago

Note the add_primary_key function in load.py should also be added to the transform class, it needs to be removed from load.py and added into the new class in transform.py

AtharvaJadhav7 commented 8 months ago

i will do this

espin086 commented 8 months ago

Closed