Initial Fastapi setup

.gitignore

@@ -0,0 +1,29 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# Virtual environments
+venv/
+.env/
+.envs/
+.venv/
+ENV/
+env/
+
+# Distribution / packaging
+build/
+dist/
+*.egg-info/
+.eggs/
+
+# PyInstaller
+*.manifest
+*.spec
+
+# IDEs
+.vscode/
+.idea/
+
+# Logs
+*.log

Dockerfile

@@ -0,0 +1,18 @@
+# Use an official Python runtime as a parent image
+FROM python:3.10-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the current directory contents into the container at /app
+COPY . /app
+
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Make port 7860 available to the world outside this container
+EXPOSE 7860
+
+# Run the uvicorn server when the container launches
+# Hugging Face Spaces automatically maps this to your public URL
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -0,0 +1,43 @@
+# app.py
+from fastapi import FastAPI, File, UploadFile, Form
+from typing import List
+import os
+
+app = FastAPI()
+
+# A simple root endpoint to confirm the app is running
+@app.get("/")
+async def read_root():
+    return {"message": "Data Analyst Agent API is running!"}
+
+# Our main API endpoint for data analysis tasks
+@app.post("/api/")
+async def analyze_data(
+    questions_file: UploadFile = File(..., alias="questions.txt"),
+    files: List[UploadFile] = File([], alias="files"), # This will catch other files if sent
+):
+    # Read the content of questions.txt
+    questions_content = await questions_file.read()
+    questions_text = questions_content.decode("utf-8")
+
+    response_messages = [f"Received questions:\n{questions_text}"]
+
+    # Process other uploaded files
+    for file in files:
+        # You would typically save these to a temporary location
+        # For now, just acknowledge receipt
+        response_messages.append(f"Received file: {file.filename} (Content-Type: {file.content_type})")
+        # Example: Save to a temporary file
+        # with open(f"/tmp/{file.filename}", "wb") as f:
+        #     f.write(await file.read())
+        # response_messages.append(f"Saved {file.filename} to /tmp/")
+
+
+    # This is where the core logic will go. For now, it's a placeholder.
+    # The LLM will process questions_text and use other files.
+    
+    return {"status": "Processing initiated", "details": response_messages}
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860) # Hugging Face Spaces typically use port 7860

requirements.txt

@@ -0,0 +1,3 @@
+fastapi
+uvicorn
+python-multipart # Required for FastAPI to handle file uploads