Merge pull request #4 from CMU-17313Q/career-feature

Integration of ML-Based Career Feature Microservice

.eslintignore

@@ -27,4 +27,5 @@ test/files
 /public/src/modules/ace-editor.js
 /public/src/client/account/header.js
 /public/src/client/test.js
-themes/
+themes/
+career-model/

.gitignore

@@ -82,3 +82,7 @@ theme/*.sublime-workspace
 theme/.idea
 theme/.vscode
 theme/node_modules/
+
+
+# Career Model: Python Ignores
+__pycache__

career-model/Dockerfile

@@ -0,0 +1,21 @@
+FROM python:3.11
+
+WORKDIR /career-model
+
+# Install any additional dependencies
+COPY requirements.txt .
+
+RUN pip install flask
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+
+
+EXPOSE 8080
+
+ENV PORT 8080
+
+ENV HOSTNAME "0.0.0.0"
+
+CMD ["flask", "run", "--host", "0.0.0.0", "--port", "8080"]

career-model/app.py

@@ -0,0 +1,40 @@
+from flask import Flask, request
+
+from predict import predict
+
+app = Flask(__name__)
+
+@app.route("/")
+def hello_world():
+    return "<p>NodeBB!</p>"
+
+@app.route("/predict", methods=["GET"])
+def predict_student():
+    # Get parameters from the URL query string
+    student_id = request.args.get("student_id")
+    gender = request.args.get("gender")
+    age = request.args.get("age")
+    major = request.args.get("major")
+    gpa = request.args.get("gpa")
+    extra_curricular = request.args.get("extra_curricular")
+    num_programming_languages = request.args.get("num_programming_languages")
+    num_past_internships = request.args.get("num_past_internships")
+
+    # Create a dictionary with the input parameters
+    student = {
+        "student_id": student_id,
+        "gender": gender,
+        "age": age,
+        "major": major,
+        "gpa": gpa,
+        "extra_curricular": extra_curricular,
+        "num_programming_languages": num_programming_languages,
+        "num_past_internships": num_past_internships
+    }
+
+    # Call the predict function to get the prediction
+    prediction_result = predict(student)
+    # Convert 'int64' to 'int' for JSON serialization
+    prediction_result['good_employee'] = int(prediction_result['good_employee'])
+
+    return prediction_result