DOCKER : compatible docker + APY : python micro services - IA services coming...
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@ -102,9 +102,18 @@ if [[ ${QRCODE} == "station" ]]; then
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ISTATION=$(cat ~/.zen/tmp/ISTATION)
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fi
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## FIND STATION GPS CLOSEST ACTIVE KEY
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## GET SATELLITE IMAGE
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source ~/.zen/GPS
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echo "... ~/.zen/GPS ... $LAT $LON ..."
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ville=$(my_IPCity)
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echo "my_IPCity = $ville"
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api_key="ac5e65a2fd10d3788d40cdae0d4516ba" # Remplacez YOUR_API_KEY par votre clé API OpenWeatherMap
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url="http://api.openweathermap.org/data/2.5/weather?q=$ville&appid=$api_key&units=metric"
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meteo=$(curl -s $url)
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# Extraire les informations pertinentes de la réponse JSON
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temperature=$(echo $meteo | jq -r '.main.temp')
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description=$(echo $meteo | jq -r '.weather[0].description')
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echo "La météo à $ville : $description, Température: $temperature °C"
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## SHOW ZenStation FRONT
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sed "s~_STATION_~${myIPFS}${ISTATION}/~g" $MY_PATH/../templates/ZenStation/index.html > ~/.zen/tmp/${MOATS}/index.htm
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@ -0,0 +1,46 @@
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#!/bin/bash
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# Usage: bash addfile.sh <filename> <mime_type> <file_type>
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filename="$1"
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mime_type="$2"
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file_type="$3"
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echo "Processing file: $filename"
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echo "MIME type: $mime_type"
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echo "File type: $file_type"
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# Check file type and perform corresponding treatment
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case $file_type in
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"video")
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if [[ $mime_type == *"video"* ]]; then
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# Video processing logic
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echo "Video processing..."
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# Add more processing steps as needed
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else
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echo "Invalid file type for video processing"
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fi
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;;
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"audio")
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if [[ $mime_type == *"audio"* ]]; then
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# Audio processing logic
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echo "Audio processing..."
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# Add more processing steps as needed
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else
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echo "Invalid file type for audio processing"
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fi
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;;
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"text")
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if [[ $mime_type == *"text"* ]]; then
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# Text processing logic
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echo "Text processing..."
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# Add more processing steps as needed
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else
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echo "Invalid file type for text processing"
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fi
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;;
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*)
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echo "Unknown file type: $file_type"
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;;
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esac
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echo "File processing complete."
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@ -0,0 +1,170 @@
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#!/usr/bin/python3
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from fastapi import FastAPI, File, UploadFile, Form, HTTPException
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from fastapi.responses import HTMLResponse, JSONResponse
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import subprocess
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import os
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import magic
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app = FastAPI()
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# HTML form for file upload
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html_form = """
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>File Upload and Processing</title>
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<style>
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body {
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font-family: 'Arial', sans-serif;
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background-color: #f5f5f5;
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margin: 0;
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display: flex;
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align-items: center;
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justify-content: center;
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height: 100vh;
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}
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#upload-container {
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background-color: #ffffff;
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box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
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padding: 20px;
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border-radius: 8px;
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text-align: center;
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}
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h1 {
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color: #333333;
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}
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form {
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margin-top: 20px;
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display: flex;
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flex-direction: column;
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align-items: center;
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}
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input[type="file"] {
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margin-bottom: 10px;
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}
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input[type="button"] {
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background-color: #4caf50;
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color: white;
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border: none;
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padding: 10px 20px;
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text-align: center;
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text-decoration: none;
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display: inline-block;
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font-size: 16px;
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cursor: pointer;
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border-radius: 4px;
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}
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#result-container {
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margin-top: 20px;
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}
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#loading-indicator {
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display: none;
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margin-top: 20px;
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}
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</style>
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</head>
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<body>
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<div id="upload-container">
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<h1>File Upload and Processing</h1>
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<form id="upload-form" enctype="multipart/form-data" method="post">
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<input type="file" id="file" accept="video/*,audio/*,text/*" required>
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<br>
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<label for="convert_to">Choose file type:</label>
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<input type="radio" id="video" name="convert_to" value="video" checked>
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<label for="video">Video</label>
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<input type="radio" id="audio" name="convert_to" value="audio">
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<label for="audio">Audio</label>
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<input type="radio" id="text" name="convert_to" value="text">
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<label for="text">Text</label>
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<br>
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<input type="button" value="Upload" onclick="uploadFile()">
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<div id="loading-indicator">Loading...</div>
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</form>
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<div id="result-container"></div>
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</div>
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<script>
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async function uploadFile() {
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const fileInput = document.getElementById('file');
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const file = fileInput.files[0];
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const fileType = document.querySelector('input[name="convert_to"]:checked').value;
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const formData = new FormData();
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formData.append('file', file);
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formData.append('convert_to', fileType);
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// Show loading indicator
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const loadingIndicator = document.getElementById('loading-indicator');
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loadingIndicator.style.display = 'block';
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try {
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const response = await fetch('/upload', {
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method: 'POST',
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body: formData
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});
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const result = await response.json();
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document.getElementById('result-container').innerHTML = JSON.stringify(result, null, 2);
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} catch (error) {
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console.error('Error uploading file:', error);
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} finally {
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// Hide loading indicator after response or error
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loadingIndicator.style.display = 'none';
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}
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}
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</script>
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</body>
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</html>
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"""
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@app.get("/")
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async def read_root():
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return HTMLResponse(content=html_form, status_code=200)
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def get_mime_type(file: UploadFile):
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mime = magic.Magic()
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mime_type = mime.from_buffer(file.file.read(1024))
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return mime_type
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@app.post("/upload")
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async def create_upload_file(file: UploadFile = File(...), convert_to: str = Form(...)):
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# Validate file size
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max_file_size = 100 * 1024 * 1024 # 100MB
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if file.file.__sizeof__() > max_file_size:
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raise HTTPException(status_code=400, detail="File size exceeds the limit of 100MB")
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# Check the file type
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mime_type = get_mime_type(file)
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print(f"Detected MIME type: {mime_type}")
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# Save the uploaded file to a temporary location
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with open(file.filename, "wb") as f:
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f.write(file.file.read())
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# Continue with the processing logic
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# Run the post-treatment Bash script
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logs = subprocess.run(["bash", "addfile.sh", file.filename, mime_type, convert_to], capture_output=True, text=True).stdout
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# Optionally, you can remove the temporary file
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os.remove(file.filename)
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return JSONResponse(content={"filename": file.filename, "mime_type": mime_type, "convert_to": convert_to, "message": "File processed successfully.", "logs": logs})
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=10101)
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@ -57,18 +57,18 @@ mot_passe_vocal(){
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# Début du jeu
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clear
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echo "
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"
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sleep 1
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@ -0,0 +1,26 @@
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# Rémi Montagut
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# CONSIGNES
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* Connaître les commandes de base de PowerShell ou Shell pour un usage quotidien
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* Gérer les utilisateurs avec des scripts
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* Automatiser l’administration des stations de travail et des serveurs
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* Ecrire des scripts sous Windows avec PowerShell
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* Savoir programmer et debugger un shellscript
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Expériences
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--
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Alternance en tant qu'ingénieur devops, SHELL, Jenkis, Ansible
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OS
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--
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Mac OS ( ARM ) / Proxmox à disposition pour virtualiser
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Votre machine ou celle de votre boite ?
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la mienne
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Activité de votre alternance ?
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ingénieur devops
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