Spaces:
Paused
Paused
File size: 8,948 Bytes
ba72f62 10d2e39 ba72f62 10d2e39 ba72f62 e3fc741 9a7d4db 10d2e39 504df0f d8acd61 504df0f d8acd61 504df0f 5d095b2 2445440 5d095b2 d8acd61 671ea59 68d1258 e3fc741 671ea59 10d2e39 27994de e3fc741 3c4bd31 da815dd e3fc741 d8acd61 22b00f2 d8d1294 22b00f2 e3fc741 d8acd61 5d095b2 d8acd61 5d095b2 d8acd61 5d095b2 22b00f2 504df0f d8acd61 504df0f 2ae57cb 2445440 2ae57cb 27994de 2445440 27994de 2445440 2ae57cb 2445440 27994de 504df0f 2ae57cb 2445440 27994de 504df0f 2445440 504df0f 2445440 504df0f 2445440 2ae57cb 22b00f2 2ae57cb 504df0f d8acd61 2445440 d8acd61 2445440 d8acd61 2445440 d8acd61 2ae57cb d8acd61 504df0f 2ae57cb 22b00f2 2ae57cb 22b00f2 2ae57cb 504df0f d8acd61 22b00f2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 |
import os
import sys
# Hugging Face safe cache
os.environ["HF_HOME"] = "/tmp/huggingface"
os.environ["TRANSFORMERS_CACHE"] = "/tmp/huggingface/transformers"
os.environ["HUGGINGFACE_HUB_CACHE"] = "/tmp/huggingface/hub"
# Force Flask instance path to a writable temporary folder
safe_instance_path = "/tmp/flask_instance"
# Create the safe instance path after imports
os.makedirs(safe_instance_path, exist_ok=True)
from flask import Flask, render_template, redirect, url_for, flash, request
from flask_login import LoginManager, login_required, current_user
from werkzeug.utils import secure_filename
import sys
import json
from datetime import datetime
# Adjust sys.path for import flexibility
current_dir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(current_dir)
# Import and initialize DB
from backend.models.database import db, Job, Application, init_db
from backend.models.user import User
from backend.routes.auth import auth_bp, handle_resume_upload
from backend.routes.interview_api import interview_api
# Initialize Flask app
app = Flask(
__name__,
static_folder='backend/static',
static_url_path='/static',
template_folder='backend/templates',
instance_path=safe_instance_path # ✅ points to writable '/tmp/flask_instance'
)
app.config['SECRET_KEY'] = 'saadi'
# -----------------------------------------------------------------------------
# Cookie configuration for Hugging Face Spaces
#
# When running this app inside an iframe (as is typical on Hugging Face Spaces),
# browsers will drop cookies that have the default SameSite policy of ``Lax``.
# This prevents the Flask session cookie from being stored and means that
# ``login_user()`` will appear to have no effect – the user will be redirected
# back to the home page but remain anonymous. By explicitly setting the
# SameSite policy to ``None`` and enabling the ``Secure`` flag, we allow the
# session and remember cookies to be sent even when the app is embedded in an
# iframe. Without these settings the sign‑up and login flows work locally
# but silently fail in Spaces, causing the "redirect to home page without
# anything" behaviour reported by users.
app.config['SESSION_COOKIE_SAMESITE'] = 'None'
app.config['SESSION_COOKIE_SECURE'] = True
app.config['REMEMBER_COOKIE_SAMESITE'] = 'None'
app.config['REMEMBER_COOKIE_SECURE'] = True
# Configure the database connection
# Use /tmp directory for database in Hugging Face Spaces
# Note: Data will be lost when the space restarts
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/codingo.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
from flask_wtf.csrf import CSRFProtect
# csrf = CSRFProtect(app)
# Create necessary directories in writable locations
os.makedirs('/tmp/static/audio', exist_ok=True)
os.makedirs('/tmp/temp', exist_ok=True)
# Initialize DB with app
init_db(app)
# Flask-Login setup
login_manager = LoginManager()
login_manager.login_view = 'auth.login'
login_manager.init_app(app)
@login_manager.user_loader
def load_user(user_id):
return db.session.get(User, int(user_id))
# Register blueprints
app.register_blueprint(auth_bp)
app.register_blueprint(interview_api, url_prefix="/api")
# Routes (keep your existing routes)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/jobs')
def jobs():
all_jobs = Job.query.order_by(Job.date_posted.desc()).all()
return render_template('jobs.html', jobs=all_jobs)
@app.route('/job/<int:job_id>')
def job_detail(job_id):
job = Job.query.get_or_404(job_id)
return render_template('job_detail.html', job=job)
@app.route('/apply/<int:job_id>', methods=['GET', 'POST'])
@login_required
def apply(job_id):
job = Job.query.get_or_404(job_id)
if request.method == 'POST':
# Retrieve the uploaded resume file from the request. The ``name``
# attribute in the HTML form is ``resume``.
file = request.files.get('resume')
# Use our safe upload helper to store the resume. ``filepath``
# contains the location where the file was saved so that recruiters
# can download it later. Resume parsing has been disabled, so
# ``features`` will always be an empty dictionary.
features, error, filepath = handle_resume_upload(file)
# If there was an error saving the resume, notify the user. We no
# longer attempt to parse the resume contents, so the manual fields
# collected below will form the entire feature set.
if error:
flash("Resume upload failed. Please try again.", "danger")
return render_template('apply.html', job=job)
# Collect the manually entered fields for skills, experience and education.
# Users can separate entries with commas, semicolons or newlines; we
# normalise the input into lists of trimmed strings.
def parse_entries(raw_value: str):
import re
entries = []
if raw_value:
# Split on commas, semicolons or newlines
for item in re.split(r'[\n,;]+', raw_value):
item = item.strip()
if item:
entries.append(item)
return entries
skills_input = request.form.get('skills', '')
experience_input = request.form.get('experience', '')
education_input = request.form.get('education', '')
manual_features = {
"skills": parse_entries(skills_input),
"experience": parse_entries(experience_input),
"education": parse_entries(education_input)
}
# Prepare the application record. We ignore the empty ``features``
# returned by ``handle_resume_upload`` and instead persist the
# manually collected attributes. The extracted_features column
# expects a JSON string; json.dumps handles proper serialization.
application = Application(
job_id=job_id,
user_id=current_user.id,
name=current_user.username,
email=current_user.email,
resume_path=filepath,
extracted_features=json.dumps(manual_features)
)
db.session.add(application)
db.session.commit()
flash('Your application has been submitted successfully!', 'success')
return redirect(url_for('jobs'))
return render_template('apply.html', job=job)
@app.route('/my_applications')
@login_required
def my_applications():
applications = Application.query.filter_by(
user_id=current_user.id
).order_by(Application.date_applied.desc()).all()
return render_template('my_applications.html', applications=applications)
@app.route('/parse_resume', methods=['POST'])
def parse_resume():
file = request.files.get('resume')
features, error, filepath = handle_resume_upload(file)
# If the upload failed, return an error. Parsing is no longer
# supported, so we do not attempt to inspect the resume contents.
if error:
return {"error": "Error processing resume. Please try again."}, 400
# If no features were extracted (the normal case now), respond with
# empty fields rather than an error. This preserves the API
# contract expected by any front‑end code that might call this
# endpoint.
if not features:
return {
"name": "",
"email": "",
"mobile_number": "",
"skills": [],
"experience": [],
"education": [],
"summary": ""
}, 200
# Should features contain values (unlikely in the new implementation),
# pass them through to the client.
response = {
"name": features.get('name', ''),
"email": features.get('email', ''),
"mobile_number": features.get('mobile_number', ''),
"skills": features.get('skills', []),
"experience": features.get('experience', []),
"education": features.get('education', []),
"summary": features.get('summary', '')
}
return response, 200
@app.route("/interview/<int:job_id>")
@login_required
def interview_page(job_id):
job = Job.query.get_or_404(job_id)
application = Application.query.filter_by(
user_id=current_user.id,
job_id=job_id
).first()
if not application or not application.extracted_features:
flash("Please apply for this job and upload your resume first.", "warning")
return redirect(url_for('job_detail', job_id=job_id))
cv_data = json.loads(application.extracted_features)
return render_template("interview.html", job=job, cv=cv_data)
if __name__ == '__main__':
print("Starting Codingo application...")
with app.app_context():
db.create_all()
# Use port from environment or default to 7860
port = int(os.environ.get('PORT', 7860))
app.run(debug=True, host='0.0.0.0', port=port) |