Refactor project structure: update README for local development, remove FastAPI app, and clean up dependencies in pyproject.toml

Author: sigdelsanjog

README.md

@@ -1,5 +1,34 @@
 # 🧩 Dataset Quality Scoring Engine — System Framework (Markdown)
 
+## Local Development Split
+
+The repository now separates responsibilities:
+
+- `dsqus/engine`: core Python package code (no FastAPI).
+- `backend`: FastAPI service that imports and calls the core package.
+- `ui`: browser frontend that uploads files to the backend.
+
+### Run Upload Flow End-to-End
+
+From repository root:
+
+```bash
+python -m venv .venv
+source .venv/bin/activate
+pip install -e .
+pip install -r backend/requirements.txt
+uvicorn backend.app:app --reload
+```
+
+From `ui` in another terminal:
+
+```bash
+npm install
+npm run dev
+```
+
+Then open the Vite URL (typically `http://localhost:5173`) and upload a CSV/XLS/XLSX file.
+
 #️⃣ 1. Overview
 
 The Dataset Quality Scoring Engine (DQS) evaluates the quality of any dataset using automated, model-agnostic metrics.

dsqus/engine/__init__.py

@@ -1,5 +1,5 @@
-"""Engine package for the dsqus backend service."""
+"""Core engine package for dsqus."""
 
-from .app import app
+from .file_parser import parse_uploaded_file
 
-__all__ = ["app"]
+__all__ = ["parse_uploaded_file"]

dsqus/engine/app.py

@@ -12,9 +12,6 @@ authors = [
   { name = "Sanjog Sigdel" }
 ]
 dependencies = [
-  "fastapi>=0.115",
-  "uvicorn[standard]>=0.30",
-  "python-multipart>=0.0.9",
   "pandas>=2.2",
   "openpyxl>=3.1",
 ]
@@ -23,8 +20,5 @@ dependencies = [
 Homepage = "https://github.com/sigdelsanjog/dsqus"
 Repository = "https://github.com/sigdelsanjog/dsqus"
 
-[tool.setuptools]
-package-dir = {"" = "dsqus"}
-
 [tool.setuptools.packages.find]
-where = ["dsqus"]
+include = ["dsqus*"]