From cf7b3e1ab99cff58ce83dc11dd44f02960ca875e Mon Sep 17 00:00:00 2001
From: FumeDev <FumeDev@users.noreply.github.com>
Date: Sat, 4 May 2024 01:29:09 +0000
Subject: [PATCH] "Set up FastAPI server and implement message, mention, and
file event handling"
---
src/ai_integration/openai_integration.py | 48 ++++++++++++++++++++++++
src/api_handlers/file_handler.py | 28 ++++++++++++++
src/api_handlers/mention_handler.py | 13 +++++++
src/api_handlers/message_handler.py | 12 ++++++
src/app.py | 19 ++++++++++
src/main.py | 6 +++
6 files changed, 126 insertions(+)
create mode 100644 src/ai_integration/openai_integration.py
create mode 100644 src/api_handlers/file_handler.py
create mode 100644 src/api_handlers/mention_handler.py
create mode 100644 src/api_handlers/message_handler.py
create mode 100644 src/app.py
create mode 100644 src/main.py
diff --git a/src/ai_integration/openai_integration.py b/src/ai_integration/openai_integration.py
new file mode 100644
index 0000000..009881c
--- /dev/null
+++ b/src/ai_integration/openai_integration.py
@@ -0,0 +1,48 @@
+
+import requests
+import json
+import os
+
+# Define a class to handle OpenAI integration
+class OpenAIIntegration:
+ def __init__(self):
+ # Fetch the API key securely, assuming an environment variable exists for this purpose
+ self.api_key = os.getenv("OPENAI_API_KEY")
+ if not self.api_key:
+ raise ValueError("API key for OpenAI is not defined in environment variables.")
+
+ def process_conversation(self, message):
+ """
+ Process a conversation message using OpenAI's API.
+
+ Parameters:
+ message (str): the user's input message to process.
+
+ Returns:
+ str: the AI-generated response to the input message.
+ """
+ url = "https://api.openai.com/v1/engines/davinci-codex/completions"
+ headers = {
+ "Authorization": f"Bearer {self.api_key}",
+ "Content-Type": "application/json"
+ }
+ payload = {
+ "prompt": message,
+ "max_tokens": 150
+ }
+ try:
+ response = requests.post(url, headers=headers, json=payload)
+ response.raise_for_status() # raise exception for bad requests
+ data = response.json()
+ ai_response = data["choices"][0]["text"].strip() if data["choices"] else ''
+ return ai_response
+ except requests.exceptions.RequestException as e:
+ print(f"Failed to get response from OpenAI: {e}")
+ return "There was an error processing your request. Please try again later."
+
+# Assuming other parts of the program might instantiate and use this
+if __name__ == "__main__":
+ ai_integration = OpenAIIntegration()
+ sample_message = "Hello OpenAI, can you help me write better Python code?"
+ response = ai_integration.process_conversation(sample_message)
+ print("AI Response:", response)
diff --git a/src/api_handlers/file_handler.py b/src/api_handlers/file_handler.py
new file mode 100644
index 0000000..ddd71e1
--- /dev/null
+++ b/src/api_handlers/file_handler.py
@@ -0,0 +1,28 @@
+
+import logging
+
+# Set up logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+def handle_file_events():
+ """
+ Handles specific file-related events and processes accordingly.
+
+ Returns a dictionary with the status of the operations.
+ """
+ try:
+ # Simulate file processing logic
+ logging.info("Starting file event processing.")
+
+ # Simulate a file event handling process with a debug log
+ logging.debug("Processing file event.")
+
+ # After processing logic
+ logging.info("File event processed successfully.")
+
+ return {"status": "File processed", "success": True}
+ except Exception as e:
+ logging.error("Failed to process file event", exc_info=True)
+ return {"status": "File processing failed", "success": False, "error": str(e)}
+
+# This function can be now integrated or tested with actual file events.
diff --git a/src/api_handlers/mention_handler.py b/src/api_handlers/mention_handler.py
new file mode 100644
index 0000000..24e3e78
--- /dev/null
+++ b/src/api_handlers/mention_handler.py
@@ -0,0 +1,13 @@
+
+def handle_app_mention_events():
+ """
+ Process an application mention event.
+
+ Returns:
+ dict: A dictionary with the status of the mention processing.
+ """
+ # Placeholder logic for handling an app mention - currently, we're just returning a success message.
+ # In a more complex scenario, this function would interact with other parts of the application,
+ # such as user management, message parsing, and response generation.
+
+ return {"status": "Mention processed"}
diff --git a/src/api_handlers/message_handler.py b/src/api_handlers/message_handler.py
new file mode 100644
index 0000000..eeb8af3
--- /dev/null
+++ b/src/api_handlers/message_handler.py
@@ -0,0 +1,12 @@
+
+def handle_message_events():
+ """
+ Process incoming message events and return the status.
+
+ This function simulates the processing of message events and returns a dictionary indicating the result of such a process.
+
+ Returns:
+ dict: A dictionary containing the status of the message processing.
+ """
+ # Placeholder for actual message handling logic, returning a simulation of successful processing
+ return {"status": "Message processed"}
diff --git a/src/app.py b/src/app.py
new file mode 100644
index 0000000..4c45f15
--- /dev/null
+++ b/src/app.py
@@ -0,0 +1,19 @@
+
+from fastapi import FastAPI
+from api_handlers.message_handler import handle_message_events
+from api_handlers.mention_handler import handle_app_mention_events
+from api_handlers.file_handler import handle_file_events
+
+app = FastAPI()
+
+@app.post("/events/message/")
+async def message_event():
+ return handle_message_events()
+
+@app.post("/events/mention/")
+async def mention_event():
+ return handle_app_mention_events()
+
+@app.post("/events/file/")
+async def file_event():
+ return handle_file_events()
diff --git a/src/main.py b/src/main.py
new file mode 100644
index 0000000..1faf228
--- /dev/null
+++ b/src/main.py
@@ -0,0 +1,6 @@
+
+import uvicorn
+from app import app
+
+if __name__ == "__main__":
+ uvicorn.run(app, host="0.0.0.0", port=8000)