Merge branch 'vlad' into feature-wormhole

.env.sample

@@ -0,0 +1 @@
+SENTRY_URL=<sentry_url>

app.py

@@ -4,9 +4,10 @@ or
 `python -m uvicorn app:app --reload --host localhost --port 7860`
 """
 import ast
+import json
 import mathactive.microlessons.num_one as num_one_quiz
+import os
 import sentry_sdk
-
 from fastapi import FastAPI, Request
 from fastapi.responses import JSONResponse
 from fastapi.staticfiles import StaticFiles
@@ -20,20 +21,22 @@ from mathtext_fastapi.conversation_manager import manage_conversation_response
 from mathtext_fastapi.v2_conversation_manager import manage_conversation_response
 from mathtext_fastapi.nlu import evaluate_message_with_nlu
 from mathtext_fastapi.nlu import run_intent_classification
-
-import os
 from dotenv import load_dotenv
+from sentry_sdk.utils import BadDsn
 
 load_dotenv()
 
-sentry_sdk.init(
-    dsn=os.environ.get('SENTRY_DNS'),
+try:
+    sentry_sdk.init(
+        dsn=os.environ.get('SENTRY_DNS'),
 
-    # Set traces_sample_rate to 1.0 to capture 100%
-    # of transactions for performance monitoring.
-    # We recommend adjusting this value in production,
-    traces_sample_rate=0.20,
-)
+        # Set traces_sample_rate to 1.0 to capture 100%
+        # of transactions for performance monitoring.
+        # We recommend adjusting this value in production,
+        traces_sample_rate=0.20,
+    )
+except BadDsn:
+    pass
 
 app = FastAPI()
 
@@ -183,12 +186,10 @@ async def num_one(request: Request):
         'state': 'question'
     }
     """
-    print("STEP 1")
     data_dict = await request.json()
-    message_data = ast.literal_eval(data_dict.get('message_data', '').get('message_body', ''))
+    message_data = json.loads(data_dict.get('message_data', '').get('message_body', '').replace("'", '"'))
     user_id = message_data['user_id']
     message_text = message_data['message_text']
-    print("STEP 2")
     return num_one_quiz.process_user_message(user_id, message_text)
     
 

scripts/env_loader.py

@@ -0,0 +1,9 @@
+import dotenv
+import os
+
+dotenv.load_dotenv(".env")
+envs = {}
+
+
+for var in ["SENTRY_URL"]:
+    envs[var] = os.getenv(var)

scripts/logger.py

@@ -0,0 +1,11 @@
+import sentry_sdk
+from . import env_loader
+
+sentry_sdk.init(
+    dsn=env_loader.envs.get("SENTRY_URL"),
+
+    # Set traces_sample_rate to 1.0 to capture 100%
+    # of transactions for performance monitoring.
+    # We recommend adjusting this value in production.
+    traces_sample_rate=1.0
+)