conf changes

deployment/api/.dockerignore

@@ -17,4 +17,6 @@ tests/
 *aws*
 .elasticbeanstalk
 
-sentiment-api-465411-ccfc3af56be7.json
+sentiment-api-*.json
+
+docker-compose.yml.example

deployment/api/.gitignore

@@ -9,4 +9,4 @@
 
 *aws*
 
-sentiment-api-465411-ccfc3af56be7.json
+sentiment-api-*.json

deployment/api/Dockerfile

@@ -15,6 +15,14 @@ RUN apt-get update && \
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
+# Install nltk resources at build time
+RUN python3 -m nltk.downloader punkt \
+    && python3 -m nltk.downloader punkt_tab \
+    && python3 -m nltk.downloader stopwords \
+    && python3 -m nltk.downloader wordnet \
+    && python3 -m nltk.downloader omw-1.4
+
+
 # Copy app code and configs
 COPY . .
 

deployment/api/Dockerrun.aws.json

@@ -1,13 +0,0 @@
-{
-  "AWSEBDockerrunVersion": "1",
-  "Image": {
-    "Name": "grgmdmn/sentiment_api:latest",
-    "Update": "true"
-  },
-  "Ports": [
-    {
-      "ContainerPort": "8000"
-    }
-  ],
-  "Logging": "/var/log/nginx"
-}

deployment/api/docker-compose.yml.example

@@ -20,6 +20,8 @@ services:
       SMTP_FROM_ALIAS: "${SMTP_FROM_ALIAS}"                 # alias (optionnel)
       ADMIN_EMAIL: "${ADMIN_EMAIL}"                         # email admin destinataire
 
+      SENTIMENT_API_BASE_URL: "${SENTIMENT_API_BASE_URL}"   # public api url (used to redirect Streamlit requests to FastAPI)
+
 # only if you have a reverse proxy server
 #    networks:
 #      - swag

deployment/api/preprocessing.py

@@ -5,17 +5,17 @@ from nltk.corpus import stopwords
 from nltk.tokenize import word_tokenize
 from nltk.stem import WordNetLemmatizer
 
-# Assurer que les ressources nécessaires sont disponibles
-try:
-    stopwords.words('english')
-    word_tokenize("test")
-    WordNetLemmatizer().lemmatize("testing")
-except LookupError:
-    nltk.download('punkt')
-    nltk.download('punkt_tab')
-    nltk.download('stopwords')
-    nltk.download('wordnet')
-    nltk.download('omw-1.4')
+# # Assurer que les ressources nécessaires sont disponibles
+# try:
+#     stopwords.words('english')
+#     word_tokenize("test")
+#     WordNetLemmatizer().lemmatize("testing")
+# except LookupError:
+#     nltk.download('punkt')
+#     nltk.download('punkt_tab')
+#     nltk.download('stopwords')
+#     nltk.download('wordnet')
+#     nltk.download('omw-1.4')
 
 def preprocess_tweet(tweet):
     """