Use local storage for csv

This commit is contained in:
2024-10-20 14:51:15 +02:00
parent 8fe64da6e5
commit b3d8ef6f36
6 changed files with 67 additions and 91 deletions

View File

@@ -1,6 +1,7 @@
import io
import math
import os
from flask import Blueprint, jsonify, request
from flask import Blueprint, jsonify, request, session
from werkzeug.utils import secure_filename
from src.services.tmdb_service import TMDBService
from src.services.image_service import ImageService
@@ -12,10 +13,9 @@ api_bp = Blueprint('api', __name__)
tmdb_service = TMDBService()
image_service = ImageService()
UPLOAD_FOLDER = './data'
ALLOWED_EXTENSIONS = {'csv'}
csv_file = os.path.join(UPLOAD_FOLDER, 'diary.csv')
user_csvs = {}
@lru_cache(maxsize=1000)
def get_poster_url(movie_name, movie_year):
@@ -28,27 +28,36 @@ def get_poster_url(movie_name, movie_year):
@api_bp.route('/movies', methods=['GET'])
def get_movies():
user_id = session.get('user_id') # Récupérer l'ID de l'utilisateur de la session
if user_id not in user_csvs:
return jsonify({'movies': [], 'message': 'No movies found. Please upload a CSV file.'}), 200
# Lire le DataFrame à partir du cache
csv_content = user_csvs[user_id]
try:
if not os.path.exists(csv_file):
return jsonify({'movies': [], 'message': 'No movies found. Please upload a CSV file.'}), 200
# Si csv_content est une chaîne, il n'est pas nécessaire de décoder
if isinstance(csv_content, bytes):
df = pd.read_csv(io.StringIO(csv_content.decode('utf-8')))
else:
df = pd.read_csv(io.StringIO(csv_content))
# Reste de votre code pour la pagination et le traitement...
page = int(request.args.get('page', 1))
limit = int(request.args.get('limit', 10))
df = pd.read_csv(csv_file)
df = df.iloc[::-1].reset_index(drop=True)
total_movies = len(df)
total_pages = math.ceil(total_movies / limit)
start_index = (page - 1) * limit
end_index = start_index + limit
df_page = df.iloc[start_index:end_index]
movies = df_page.to_dict('records')
movies_with_posters = [
{
'id': start_index + i + 1,
@@ -59,7 +68,7 @@ def get_movies():
}
for i, movie in enumerate(movies)
]
return jsonify({
'movies': movies_with_posters,
'total': total_movies,
@@ -88,25 +97,26 @@ def allowed_file(filename):
@api_bp.route('/upload-csv', methods=['POST'])
def upload_csv():
user_id = session.get('user_id')
if 'file' not in request.files:
return jsonify({'error': 'No file part'}), 400
file = request.files['file']
if file.filename == '':
return jsonify({'error': 'No selected file'}), 400
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
file_path = os.path.join(UPLOAD_FOLDER, filename)
file.save(file_path)
content = file.read()
user_csvs[user_id] = content
try:
df = pd.read_csv(file_path)
df = pd.read_csv(io.StringIO(content.decode('utf-8')))
df = df.rename(columns={
'Date': 'Watched Date',
'Name': 'Name',
'Year': 'Year'
})
df.to_csv(csv_file, index=False)
user_csvs[user_id] = df.to_csv(index=False)
return jsonify({'success': True, 'message': 'File uploaded and processed successfully'}), 200
except Exception as e:
@@ -115,23 +125,27 @@ def upload_csv():
@api_bp.route('/check-csv', methods=['GET'])
def check_csv():
user_id = session.get('user_id')
try:
if os.path.exists(csv_file):
if user_id in user_csvs:
return jsonify({'fileExists': True}), 200
else:
return jsonify({'fileExists': False}), 200
except Exception as e:
print(f"Error in check_csv: {str(e)}")
return jsonify({'error': 'An error occurred while checking the CSV file'}), 500
@api_bp.route('/delete-csv', methods=['DELETE'])
def delete_csv():
user_id = session.get('user_id')
try:
if os.path.exists(csv_file):
os.remove(csv_file)
if user_id in user_csvs:
del user_csvs[user_id]
return jsonify({'success': True, 'message': 'CSV file deleted successfully'}), 200
else:
return jsonify({'error': 'CSV file not found'}), 404
except Exception as e:
print(f"Error in delete_csv: {str(e)}")
return jsonify({'error': 'An error occurred while deleting the CSV file'}), 500
return jsonify({'error': 'An error occurred while deleting the CSV file'}), 500