frist commit

app.py

@@ -1,20 +1,15 @@
 from typing import Union
 
 from fastapi import FastAPI
-from pydantic import BaseModel
+from fastapi import Request
 
 app = FastAPI()
 
 
-class Item(BaseModel):
-    name: str
-    price: float
-    is_offer: Union[bool, None] = None
-
-
 @app.get("/")
 def read_root():
-    return {"Status": "Running"}
+    return {"Hello": "World!!!"}
+    # return "This is string"
 
 
 @app.get("/items/{item_id}")
@@ -22,6 +17,63 @@ def read_item(item_id: int, q: Union[str, None] = None):
     return {"item_id": item_id, "q": q}
 
 
-@app.put("/items/{item_id}")
-def update_item(item_id: int, item: Item):
-    return {"item_name": item.name, "item_id": item_id}
+@app.get("/get_sentiment/{text}")
+def get_sentiment(text: str, user_id: Union[str, None] = None):
+    return {"text": text, 
+            "sentiment": "positive", 
+            "user_id": user_id}
+
+@app.get("/get_sentiment_v2/{text}/{ip}")
+def get_sentiment_v2(text: str, ip: str, user_id: Union[str, None] = None):
+    return {"ip": ip,
+            "text": text, 
+            "sentiment": "positive", 
+            "user_id": user_id}
+
+
+@app.post("/get_twitter_sentiment")
+def get_twitter_sentiment(text: str, ip: str, user_id: Union[str, None] = None):
+    """
+    Analyze the sentiment of a given text from Twitter.
+
+    Parameters:
+    - text (str): The text to analyze.
+    - ip (str): The IP address of the user.
+    - user_id (Union[str, None]): Optional user ID for tracking.
+
+    Returns:
+    - A JSON object containing the IP, text, sentiment analysis result, and user ID.
+    """
+    return {
+        "ip": ip,
+        "text": text,
+        "sentiment": "normal",  # Placeholder for sentiment analysis
+        "user_id": user_id
+    }
+
+@app.post("/get_twitter_sentiment_v2")
+async def get_twitter_sentiment_v2(request: Request):
+    """
+    Analyze the sentiment of a given text from Twitter asynchronously.
+
+    This endpoint accepts a JSON body with the following fields:
+    - text (str): The text to analyze.
+    - ip (str): The IP address of the user.
+    - user_id (Union[str, None]): Optional user ID for tracking.
+
+    Returns:
+    - A JSON object containing the IP, text, sentiment analysis result, and user ID.
+    """
+    data = await request.json()
+
+    text: str = data.get('text')
+    ip = data.get('ip')
+    user_id = data.get('user_id')
+
+    return {
+        "ip": ip,
+        "text": text,
+        "sentiment": "normal",  # Placeholder for sentiment analysis
+        "user_id": user_id
+    }
+