🌟 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

.env.template

@@ -0,0 +1,4 @@
+MILVUS_HOST=
+MILVUS_PORT=
+BACKEND_URL=
+FLOWISE_PORT=

.gitignore

@@ -162,3 +162,4 @@ cython_debug/
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
 
+/.idea/

000-create-directories.sh

@@ -0,0 +1,16 @@
+#!/bin/bash
+
+# Create core directories
+mkdir -p backend frontend
+
+# Create Dockerfiles for each service
+touch backend/Dockerfile frontend/Dockerfile
+
+# Create placeholder for environment files
+touch .env
+
+# Create directory for Milvus data persistence
+mkdir -p ./volumes/milvus
+
+# Create directory for Flowise data persistence
+mkdir -p ./volumes/flowise

README.md

@@ -1,3 +1,14 @@
 # systeme-retro-contenu
 
-Système de création de contenu rétrospectif
+Système de création de contenu rétrospectif
+
+## Frontend
+
+## Backend
+
+| Route              | Method | Description          | 
+|--------------------|--------|----------------------| 
+| /import/data       | POST   | Import raw data      | 
+| /analyse/{data_id} | GET    | Analyse stored data  | 
+| /export/{data_id}  | GET    | Export analysed data | 
+| /generate/content  | POST   | Generate new content |

backend/.dockerignore

@@ -0,0 +1,12 @@
+# Python build and runtime artifacts
+__pycache__/
+*.pyc
+*.pyo
+venv/
+requirements/
+
+# Version control
+.git
+
+# OS-specific files
+.DS_Store

backend/Dockerfile

@@ -0,0 +1,17 @@
+# 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

@@ -0,0 +1,67 @@
+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

@@ -0,0 +1,3 @@
+fastapi
+uvicorn
+pydantic

backend/run.sh

@@ -0,0 +1 @@
+uvicorn main:app --reload --host 0.0.0.0 --port 8000

docker-compose.yml

@@ -0,0 +1,44 @@
+version: '3.8'
+
+services:
+  backend:
+    build:
+      context: ./backend
+      dockerfile: Dockerfile
+    ports:
+      - "5000:5000"
+    environment:
+      - MILVUS_HOST=${MILVUS_HOST}
+      - MILVUS_PORT=${MILVUS_PORT}
+    depends_on:
+      - milvus
+
+  frontend:
+    build:
+      context: ./frontend
+      dockerfile: Dockerfile
+    ports:
+      - "8501:8501"
+    environment:
+      - BACKEND_URL=${BACKEND_URL}
+    depends_on:
+      - backend
+
+  milvus:
+    image: milvusdb/milvus:latest
+    ports:
+      - "19530:19530"
+    volumes:
+      - milvus_data:/var/lib/milvus
+
+  flowise:
+    image: flowiseai/flowise:latest
+    ports:
+      - "3000:3000"
+    environment:
+      - PORT=3000
+    depends_on:
+      - backend
+
+volumes:
+  milvus_data:

frontend/.dockerignore

@@ -0,0 +1,12 @@
+# Python build and runtime artifacts
+__pycache__/
+*.pyc
+*.pyo
+venv/
+requirements/
+
+# Version control
+.git
+
+# OS-specific files
+.DS_Store

frontend/Dockerfile

@@ -0,0 +1,20 @@
+# Use an official Python runtime as a parent image
+FROM python:3.13-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy requirements file first to leverage Docker layer caching
+COPY requirements.txt .
+
+# Install any needed packages (e.g., streamlit and dependencies)
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the current directory contents into the container at /app
+COPY . .
+
+# Make port 8501 available (Streamlit default port)
+EXPOSE 8501
+
+# Run the Streamlit app
+CMD ["streamlit", "run", "app.py"]

frontend/requirements.txt

@@ -0,0 +1,2 @@
+streamlit
+

pyproject.toml

@@ -0,0 +1,6 @@
+[project]
+name = "systeme-retro-contenu"
+version = "0.1.0"
+description = "Système de création de contenu rétrospectif - Backend"
+requires-python = ">=3.13"
+dependencies = []