🌟 Initial project setup with backend (FastAPI), frontend (Streamlit), Milvus, and Flowise in Docker 🧱📦

* Added backend infrastructure (FastAPI, Dockerfile, requirements)
* Set up frontend (Streamlit, Dockerfile, requirements)
* Configured docker-compose with Milvus and Flowise services
* Created project structure with .env.template and .dockerignore
* Added initial gitignore and project metadata

backend/.dockerignore

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+# Python build and runtime artifacts
+__pycache__/
+*.pyc
+*.pyo
+venv/
+requirements/
+
+# Version control
+.git
+
+# OS-specific files
+.DS_Store

backend/Dockerfile

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+# Use the official Python 3.13 image as the base
+FROM python:3.13-slim
+
+# Set the working directory inside the container
+WORKDIR /app
+
+# Expose the port the app will run on
+EXPOSE 5000
+
+# Copy the current directory contents into the container
+COPY . .
+
+# Install dependencies (ensure you have a requirements.txt file)
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Command to run the app using Uvicorn
+CMD ["uvicorn", "main:app", "--reload", "--host", "0.0.0.0", "--port", "5000"]

backend/main.py

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+from fastapi import FastAPI, APIRouter, HTTPException
+import uuid
+
+app = FastAPI(title="Retro API", description="Retro content management system")
+
+# Routers
+import_router = APIRouter(prefix="/import", tags=["Import"])
+analyse_router = APIRouter(prefix="/analyse", tags=["Analyse"])
+export_router = APIRouter(prefix="/export", tags=["Export"])
+generate_router = APIRouter(prefix="/generate", tags=["Generate"])
+
+# Sample data storage (replace with Milvus/DB integration)
+data_store = {}
+
+# Import Router
+@import_router.post("/data")
+def import_data(data: dict):
+    """
+    Import data (e.g., text, files, or structured data).
+    """
+    data_id = str(uuid.uuid4())
+    data_store[data_id] = data
+    return {"message": "Data imported successfully", "data_id": data_id}
+
+# Analyse Router
+@analyse_router.get("/{data_id}")
+def analyse_data(data_id: str):
+    """
+    Analyse imported data (e.g., sentiment, keywords, or patterns).
+    """
+    if data_id not in data_store:
+        raise HTTPException(status_code=404, detail="Data not found")
+    # Placeholder for analysis logic
+    return {
+        "data_id": data_id,
+        "analysis": {"word_count": len(data_store[data_id].get("text", ""))},
+    }
+
+# Export Router
+@export_router.get("/{data_id}")
+def export_data(data_id: str):
+    """
+    Export analysed data (e.g., as JSON, CSV, or PDF).
+    """
+    if data_id not in data_store:
+        raise HTTPException(status_code=404, detail="Data not found")
+    return {
+        "data_id": data_id,
+        "content": data_store[data_id],
+        "status": "exported",
+    }
+
+# Generate Router
+@generate_router.post("/content")
+def generate_content(prompt: str):
+    """
+    Generate new content (e.g., text, images, or summaries).
+    """
+    # Placeholder for generation logic (e.g., LLM, AI model)
+    generated = {"response": f"Generated content based on: {prompt}"}
+    return {"message": "Content generated", "data": generated}
+
+# Include routers in the main app
+app.include_router(import_router)
+app.include_router(analyse_router)
+app.include_router(export_router)
+app.include_router(generate_router)

backend/requirements.txt

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+fastapi
+uvicorn
+pydantic

backend/run.sh

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+uvicorn main:app --reload --host 0.0.0.0 --port 8000