feat: Semaine 9

This commit is contained in:
gauvainboiche
2026-05-15 16:24:56 +02:00
parent 3315cb2336
commit ce1f0e513a
108 changed files with 3150 additions and 0 deletions
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3.12
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```
uv add aiohttp
```
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import random, asyncio, time
async def fetch_posts(user):
delay = random.uniform(0.5, 2.0)
print(f"Post coroutine : récupération des postes pour l'utilisateur {user["name"]}.")
await asyncio.sleep(delay)
posts = [f"Post {i} par l'utilisateur {user["name"]}" for i in range (1, 3)]
print(f"Post coroutine : récupération de {len(posts)} posts pour l'utilisateur {user["name"]} - delay : {delay:.2f}s.")
for post in posts:
print(f"--- {post} ---")
async def fetch_user(user_id):
delay = random.uniform(0.5, 2.0)
print(f"Utilisateur coroutine : récupération de l'utilisateur {user_id=}.") # En mettant le = à la fin, il va écrire user_id=[valeur]
await asyncio.sleep(delay)
user = {"id": user_id, "name": f"User{user_id}"}
print(f"Utilisateur coroutine : récupération de l'utilisateur {user_id=} - delay : {delay:.2f}s.")
return user
async def get_user_with_posts(user_id):
user = await fetch_user(user_id)
await fetch_posts(user)
async def main():
user_ids = [1,2,3]
start = time.perf_counter()
await asyncio.gather(
# liste de compréhension. Dans un tuple, elle donne un "Générateur".
# L'étoile fait donner l'instruction pour autant d'éléments que
# nécessaire
*(get_user_with_posts(user_id) for user_id in user_ids)
)
print(f"Temps total d'exécution : {time.perf_counter() - start:.2f}s.")
if __name__ == "__main__":
random.seed(444)
asyncio.run(main())
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import random, asyncio
COLORS = (
"\033[0m", # End of color
"\033[36m", # Cyan
"\033[91m", # Red
"\033[35m", # Magenta
)
async def makerandom(delay, threshold= 6):
color = COLORS[delay]
print(f"{color} Initiated makerandom ({delay})")
while (number := random.randint(0, 10)) <= threshold: # Walrus operator : on crée une variable à la volée
print(f"{color} makerandom ({delay}) == {number} too low ; retrying.")
await asyncio.sleep(delay)
print(f"{color} => Finished makerandom ({delay}) == {number} {COLORS[0]}")
return number
async def main():
return await asyncio.gather(
makerandom(1, 9),
makerandom(2, 8),
makerandom(3, 8),
)
if __name__ == "__main__":
random.seed(444)
r1, r2, r3 = asyncio.run(main())
print(r1, r2, r3)
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import asyncio
async def coro_a():
await asyncio.sleep(1)
raise ValueError("Error in Coro A")
async def coro_b():
await asyncio.sleep(1)
raise TypeError("Error in Coro B")
async def coro_c():
await asyncio.sleep(1)
raise IndexError("Error in Coro C")
async def main():
results = await asyncio.gather(
coro_a(),
coro_b(),
coro_c(),
return_exceptions= True # renvoie les exceptions comme des résultats
)
exceptions = [e for e in results if isinstance(e, Exception)]
if exceptions:
raise ExceptionGroup("errors", exceptions)
if __name__ == "__main__":
try:
asyncio.run(main())
except* ValueError as ve_group:
print(f"Value Error:", ve_group)
except* TypeError as te_group:
print(f"Type Error:", te_group)
except* IndexError as ie_group:
print(f"Index Error:", ie_group)
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# Exercice 1
### Appel synchrone
import time
section = "Appel Synchrone"
print(f"=" * (len(section) + 4))
print(section)
print(f"=" * (len(section) + 4))
def synchronous_fetch_users():
start = time.perf_counter()
time.sleep(2)
print(f"Users : Temps d'exécution : {time.perf_counter() - start:.2f}s")
return ["alice", "bob", "charlie"]
def synchronous_fetch_orders():
start = time.perf_counter()
time.sleep(3)
print(f"Orders : Temps d'exécution : {time.perf_counter() - start:.2f}s")
return ["order_1", "order_2"]
def synchronous_fetch_inventory():
start = time.perf_counter()
time.sleep(1)
print(f"Inventory : Temps d'exécution : {time.perf_counter() - start:.2f}s")
return ["item_A", "item_B", "item_C"]
def synchronous_main():
print(
synchronous_fetch_users(),
synchronous_fetch_orders(),
synchronous_fetch_inventory(),
)
if __name__ == "__main__":
start = time.perf_counter()
synchronous_main()
print(f"Temps total d'exécution : {time.perf_counter() - start:.2f}s")
### Appel en coroutines
import asyncio, time
section = "Appel en Co-routines"
print(f"=" * (len(section) + 4))
print(section)
print(f"=" * (len(section) + 4))
async def coro_fetch_users():
start = time.perf_counter()
await asyncio.sleep(2)
print(f"Users : Temps d'exécution : {time.perf_counter() - start:.2f}s")
return ["alice", "bob", "charlie"]
async def coro_fetch_orders():
start = time.perf_counter()
await asyncio.sleep(3)
print(f"Orders : Temps d'exécution : {time.perf_counter() - start:.2f}s")
return ["order_1", "order_2"]
async def coro_fetch_inventory():
start = time.perf_counter()
await asyncio.sleep(1)
print(f"Inventory : Temps d'exécution : {time.perf_counter() - start:.2f}s")
return ["item_A", "item_B", "item_C"]
async def coro_main():
results = await asyncio.gather(
coro_fetch_users(),
coro_fetch_orders(),
coro_fetch_inventory(),
)
return results
if __name__ == "__main__":
start = time.perf_counter()
asyncio.run(coro_main())
print(f"Temps total d'exécution : {time.perf_counter() - start:.2f}s")
conclusion = "Les tâches se sont lancées simultanément, et le temps total n'a donc pris que le temps maximal de la fonction la plus longue"
print(f"=" * len(section))
print(conclusion)
print(f"=" * len(section))
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# Exercice 2
import asyncio, random, time
section = "Téléchargement de fichiers"
print(f"=" * (len(section) + 4))
print(section)
print(f"=" * (len(section) + 4))
async def random_number():
return random.uniform(1.0, 5.0)
async def download_file(file_id: int):
download_time = await random_number()
await asyncio.sleep(download_time)
return f"fichier_{file_id}.zip", download_time
async def file_downloader(downloads: int = 5):
start_time = time.perf_counter()
tasks = []
for i in range(1, downloads + 1):
task = asyncio.create_task(download_file(i))
tasks.append(task)
slowest_file = None
slowest_time = 0
for task in asyncio.as_completed(tasks):
filename, download_time = await task
print(f"{filename}: {download_time:.2f}s")
if download_time > slowest_time:
slowest_time = download_time
slowest_file = filename
total_time = time.perf_counter() - start_time
print(f"\nTemps total: {total_time:.2f}s")
print(f"Fichier le plus lent: {slowest_file} ({slowest_time:.2f}s)")
if __name__ == "__main__":
asyncio.run(file_downloader())
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# exo 3
import asyncio
SERVEURS = {
"serveur_A": 0.5,
"serveur_B": 2.0,
"serveur_C": 5.0,
"serveur_D": 1.2,
}
async def interroger(nom, delai):
await asyncio.sleep(delai)
return f"réponse de {nom}"
async def appel_avec_timeout(nom, delai, timeout=2.0):
try:
resultat = await asyncio.wait_for(interroger(nom, delai), timeout=timeout)
print(f"{nom} : {resultat}")
return nom, True
except asyncio.TimeoutError:
print(f"{nom} : timeout après {timeout}s")
return nom, False
async def main():
taches = [appel_avec_timeout(nom, delai) for nom, delai in SERVEURS.items()]
resultats = await asyncio.gather(*taches)
ok = [n for n, success in resultats if success]
ko = [n for n, success in resultats if not success]
print("\n--- Résumé ---")
print(f"En ligne ({len(ok)}) : {', '.join(ok)}")
print(f"Timeout ({len(ko)}) : {', '.join(ko)}")
asyncio.run(main())
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URLS = [
"https://httpbin.org/get",
"https://httpbin.org/ip",
"https://httpbin.org/user-agent",
"https://httpbin.org/headers",
"https://httpbin.org/uuid",
"https://httpbin.org/base64/SWYgeW91IGNhbiByZWFkIHRoaXMsIGJyYXZvICE=",
]
import asyncio, random, time
async def producer(queue: asyncio.Queue, urls):
async def fetch_url(url):
delay = random.uniform(0.5, 2.0)
print(f"Producer : récupération de l'URL {url=}")
await asyncio.sleep(delay)
url = {"id": url, "name": f"{url}"}
print(f"Producer : récupération de l'URL avec l'ID {url=} - delay {delay:.2f}s.")
await queue.put(url)
await asyncio.gather(*(fetch_url(id) for id in urls))
for _ in range(len(urls)):
await queue.put(None)
async def consumer(queue):
while True:
url = await queue.get()
if url is None:
break
delay = random.uniform(0.5, 2.0)
print(f"Consumer : récupération des posts pour {url["name"]}")
await asyncio.sleep(delay)
posts = [f"Post {i} par l'URL : {url["name"]}" for i in range(1, 3)]
print(f"Consumer : récupération de {len(posts)} posts pour {url["name"]} - delay {delay:.2f}s.")
for post in posts:
print(f"--- {post} ---")
async def main():
queue = asyncio.Queue()
start = time.perf_counter()
await asyncio.gather(
producer(queue, URLS),
*(consumer(queue) for _ in URLS)
)
print(f"Temps total d'exécution : {time.perf_counter() - start:.2f}s")
if __name__ == "__main__":
random.seed(444)
asyncio.run(main())
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# exo 5
import asyncio
import time
SERVICES = [
{"nom": "base de données", "delai": 0.3},
{"nom": "cache Redis", "delai": 0.1},
{"nom": "API externe", "delai": 3.5},
{"nom": "serveur mail", "delai": 0.8},
{"nom": "CDN", "delai": 1.5},
]
TIMEOUT = 2.0
async def check(service):
nom, delai = service["nom"], service["delai"]
debut = time.time()
try:
await asyncio.wait_for(asyncio.sleep(delai), timeout=TIMEOUT)
return nom, True, time.time() - debut
except asyncio.TimeoutError:
return nom, False, TIMEOUT
async def main():
start = time.time()
taches = [asyncio.create_task(check(s)) for s in SERVICES]
en_ligne, hors_ligne = 0, 0
for tache in asyncio.as_completed(taches):
nom, ok, duree = await tache
if ok:
print(f"{nom:<20} EN LIGNE ({duree:.2f}s)")
en_ligne += 1
else:
print(f"{nom:<20} HORS LIGNE (timeout {duree:.1f}s)")
hors_ligne += 1
total = time.time() - start
print(f"\nRésumé : {en_ligne} en ligne, {hors_ligne} hors ligne — temps total {total:.2f}s")
if __name__ == "__main__":
asyncio.run(main())
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"""
async => transforme une fonction en coroutine
=> une fonction COROUTINE peut suspendre son exécution
en cours de route et reprendre là où elle s'est
arrêtée.
await => c'est le point de suspension
=> quand une coroutine rencontre un "await", elle doit
attendre le résultat, et signale qu'une autre
coroutine peut se lancer en parallèle.
"""
import time
# A l'ancienne
section = "Séquentiel"
print(f"{"=" * len(section)}")
print(section)
print(f"{"=" * len(section)}")
def count():
print("One")
time.sleep(1)
print("Two")
time.sleep(1)
def main():
for _ in range(3):
count()
if __name__ == "__main__":
start = time.perf_counter()
main()
print(f"{__file__} exécuté en {time.perf_counter() - start:.2f} secondes.")
# Nouvelle méthode
section = "Asynchrone avec ASYNCIO"
print(f"{"=" * len(section)}")
print(section)
print(f"{"=" * len(section)}")
import asyncio
async def async_count():
print("One")
await asyncio.sleep(1)
print("Two")
await asyncio.sleep(1)
async def async_main():
await asyncio.gather(async_count(), async_count(), async_count())
if __name__ == "__main__":
start = time.perf_counter()
asyncio.run(async_main())
print(f"{__file__} exécuté en {time.perf_counter() - start:.2f} secondes.")
async def z(x):
return x
async def f(x):
y = await z(x) # si 'z' est une coroutine
return y
async def g(x):
yield x # async fonctionne sur les générateurs
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"""
async for
async with
"""
import asyncio, aiohttp
async def check(url):
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
print(f"{url} : status => {response.status}")
async def puissance2(stop= 10):
exponent = 0
while exponent < stop:
yield 2 ** exponent
exponent += 1
await asyncio.sleep(0.2)
async def main():
liste = []
async for i in puissance2():
liste.append(i)
print(liste)
liste = [j async for j in puissance2()]
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"""
asyncio.Queue => le producteur dépose des éléments sans se soucier de qui le prend.
=> les consommateurs priochent et consomment
"""
import asyncio, random, time
async def producer(queue: asyncio.Queue, user_ids):
async def fetch_user(user_id):
delay = random.uniform(0.5, 2.0)
print(f"Producer : récupération de l'utilisateur {user_id=}")
await asyncio.sleep(delay)
user = {"id": user_id, "name": f"User{user_id}"}
print(f"Producer : récupération de l'utilisateur avec l'ID {user_id=} - delay {delay:.2f}s.")
await queue.put(user)
await asyncio.gather(*(fetch_user(id) for id in user_ids))
for _ in range(len(user_ids)):
await queue.put(None)
async def consumer(queue):
while True:
user = await queue.get()
if user is None:
break
delay = random.uniform(0.5, 2.0)
print(f"Consumer : récupération des posts pour {user["name"]}")
await asyncio.sleep(delay)
posts = [f"Post {i} par l'utilisateur : {user["name"]}" for i in range(1, 3)]
print(f"Consumer : récupération de {len(posts)} posts pour {user["name"]} - delay {delay:.2f}s.")
for post in posts:
print(f"--- {post} ---")
async def main():
queue = asyncio.Queue()
user_ids = [1,2,3]
start = time.perf_counter()
await asyncio.gather(
producer(queue, user_ids),
*(consumer(queue) for _ in user_ids)
)
print(f"Temps total d'exécution : {time.perf_counter() - start:.2f}s")
if __name__ == "__main__":
random.seed(444)
asyncio.run(main())
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[project]
name = "asyncio-examples"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"aiohttp>=3.13.5",
]
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import asyncio
async def coro(numbers):
await asyncio.sleep(min(numbers))
return list(reversed(numbers))
async def main():
task1 = asyncio.create_task(coro= coro([10, 5, 2]))
task2 = asyncio.create_task(coro= coro([3, 2, 1]))
for task in asyncio.as_completed([task1, task2]):
result = await task
print(f"{type(task)=}")
print(result)
if __name__ == "__main__":
asyncio.run(main())
"""
await coro(utine) : exécute immédiatement et attend qu'elle finisse
create_task() : planifie une coroutine en arrière-plan
"""
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version = 1
revision = 3
requires-python = ">=3.12"
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name = "aiohappyeyeballs"
version = "2.6.1"
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[[package]]
name = "aiohttp"
version = "3.13.5"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiohappyeyeballs" },
{ name = "aiosignal" },
{ name = "attrs" },
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{ name = "multidict" },
{ name = "propcache" },
{ name = "yarl" },
]
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@@ -0,0 +1 @@
3.12
@@ -0,0 +1,291 @@
# Evalutation : BOICHE Gauvain - 15/05/2026
# Basique
```
uv init --python 3.12
uv run .\main.py
.venv\Scripts\Activate
```
# Logique d'exercice
## Prémices
Niveau communication et persistence, naturellement je composerais avec une base de données de transit. Typiquement un service docker-compose avec un service dédié. PostgreSQL certainement, voire carrément REDIS si j'ai pas peur d'un reboot de REDIS et j'ai besoin d'une conso plus rapide qu'à Master Poulet (dédicace sans sympathie à Karim BOUAMRANE).
Pour l'exercice, On va considérer SQLite3. Les transactions sont sécurisées par défaut, l'indexation plus rapide qu'avec un JSON persistent et les accès concurrents sont aussi par défaut. Et mieux : on va hasher les messages avec [`hashlib`](https://docs.python.org/3/library/hashlib.html#hashlib.sha256) pour chiffrer en `SHA-256` et rendre la lecture impossible par un tiers connecté sur la DB. Mais pour envoyer les messages au broker, on va passer par JSON quand même pour structurer tout ça.
*On aurait pu prendre SHA-512 ou un autre mais pffffffffffffffffffffffffffffffffffffff*
La structure des tables doit être comprise par toutes les couches du machin :
- offset : la position / l'index
- topic : le sujet
- content : le message
- checksum : hash du message
- timestamp : bah... voilà quoi
## Architecture de base
*Toujours honnête : ce plan d'architecture a été fait avec l'IA, Gemini Pro en mode "Raisonnement" nominément. Je suis un bon technicien mais je n'ai aucune compétence de structuration d'un plan que je n'ai pas fait auparavant. Je suis comme une IA : je ne créé rien, je ne suis qu'entraîné. Et je ne pense pas que ça soit préjudiciable présentement.*
```
|___ utils.py # Gestion réseau, envoyer/recevoir, constantes
|___ broker.py # asyncio, serveur TCP en écoute continue, hache les messages reçus des producteurs, gère la persistance, diffuse aux consommateurs
|___ producer.py # asyncio, génère les messages dans la DB, envoie au broker
|___ consumer.py # envoie son offset au broker lors d'une connexion, attend les messages, stocke le dernier offset géré
|___ main.py # Pour gérer les tests (*sans pertinence métier/logicielle*)
|___ .offset # Persistance de consumer.py
|___ .env # Variables sans risque (adresse IP, port, etc)
```
## Logique métier
1. Le broker initialise la BDD SQLite3
2. Le producteur envoie `"type": "PRODUCE", "topic": "lanthanides", "content": "Erbium"`
3. Le broker l'insère dans la table `lanthanides` (en la créant si elle n'existe pas), récupère l'ID comme `offset`, confirme au producteur
4. Le consommateur demande `"type": "CONSUME", "topic": "lanthanides", "offset": 3"`
5. Le broker renvoie le résultat d'une requête `SELECT * FROM lanthanides WHERE id >= 3`
## Revue de code IA
On n'aborde pas assez un point : **tout code doit être revu**. Là on apprend, on est seul, des fois on code son truc tout seul, mais ce n'est pas une bonne méthode. En entreprise, tout morceau même infime est revu sur dans une "merge request" sur Git@@@ dans une branche dédiée avant d'être fusionné à la branche principale. **Personne, pas même le plus senior des seniors, n'est infaillable**.
J'aurais pu embêter ma femme, mais elle n'aime pas nécessairement le Python (plutôt équipe JavaScript/TypeScript) alors j'ai utilisé un bon ami : Gemini Pro en mdoe "raisonnement". Ma boîte le paye, alors autant qu'il serve :
### Prompt de demande de revue de code
> Salut ! J'ai fait ce code Python pour faire un genre de "Kafka" en local. Peux-tu me faire une revue de code exhaustive ? Merci
Avec en pièces jointes les fichiers *.py sauf main.py.
### Réponse de Gemini Pro "Pro"
> Salut ! C'est un projet super intéressant. Tu as déjà une base solide avec une communication asynchrone, une persistance via SQLite et même une vérification d'intégrité avec des hashs. C'est du propre.
> Cependant, pour que ton "Kafka local" passe de "projet sympa" à "système robuste", il y a quelques points techniques (dont un bug majeur) à corriger. Voici ma revue de code exhaustive.
> #### 1. Erreurs Critiques (Bugs)
> ##### `producer.py` : La méthode fantôme
> Dans ton fichier `producer.py`, tu as défini la méthode send à l'intérieur de __init__.
> - Problème : En Python, cela en fait une fonction locale à l'initialisation. Elle n'est pas attachée à l'instance. Ton code actuel lèvera une `AttributeError: 'Producer' object has no attribute 'send'`.
> - Correction : Sors `send` du bloc __init__.
> ##### `broker.py` : L'erreur usurpée
```python
else:
raise sqlite3.Error # Pourquoi ?
```
> Lever une erreur sqlite3.Error quand une action réseau est inconnue est déroutant pour le débogage. Utilise plutôt une exception standard comme ValueError ou crée ta propre exception.
> #### 2. Architecture & Performance
> ##### Le piège du blocage (Sync vs Async)
> C'est le point le plus important. asyncio repose sur une boucle d'événements unique. Si tu fais une opération "bloquante" (comme du SQL ou de l'écriture de fichier), tu arrêtes tout le serveur.
> - SQLite : La bibliothèque sqlite3 est synchrone. Si une requête prend du temps, ton broker ne répond plus à personne.
> - Solution : Utilise `aiosqlite` (version async de sqlite3) ou exécute tes appels SQL dans un thread séparé via asyncio.to_thread().
> ##### Gestion des connexions SQLite
> Dans `broker.py`, tu ouvres et fermes une connexion à la base de données à chaque message.
> - Problème : L'ouverture d'un fichier et l'initialisation de SQLite coûtent cher en ressources.
> - Optimisation : Ouvre une seule connexion dans le __init__ du Broker (ou un pool de connexions) et réutilise-la.
> ##### I/O excessif dans le Consumer
```python
self.current_offset = offset + 1
self._save_offset(self.current_offset)
```
> Tu écris sur le disque pour chaque message reçu. Si tu reçois 1000 messages par seconde, ton disque va souffrir.
> - Optimisation : Enregistre l'offset de manière asynchrone toutes les X secondes ou tous les X messages.
> #### 3. Amélioration du Protocole
> ##### Délimitation des messages
> Ton `utils.receive_json` utilise `readline()`.
> - Risque : Si par malheur le contenu (content) de ton message contient un caractère \n (retour à la ligne), json.loads plantera car il recevra un JSON incomplet.
> - Correction : Utilise un protocole "Length-Prefix" (envoyer la taille du message avant le message) ou assure-toi que json.dumps n'insère jamais de retours à la ligne (ce qui est le cas par défaut, mais attention aux réglages).
> #### 4. Robustesse & Environnement
> ##### Chemins de fichiers (Paths)
> Dans env_var.py, tu utilises des chemins absolus comme /_db/.
> - Problème : À moins d'être sur Linux avec des droits root ou dans un conteneur Docker spécifique, ton script va planter (Permission denied).
> - Conseil : Utilise des chemins relatifs ou basés sur le dossier utilisateur :
```python
DB_PATH = Path(__file__).parent / "data" / "kafkanien.db"
```
> ##### Gestion des erreurs réseau
> Si le broker redémarre, le Producer et le Consumer vont simplement planter avec une ConnectionRefusedError.
> - Conseil : Ajoute une logique de "Retry" (tentatives de reconnexion) avec un petit `asyncio.sleep()`.
> #### Synthèse des modifications recommandées
> Voici à quoi devrait ressembler ton **Producer** corrigé :
```python
class Producer:
def __init__(self, host, port):
self.host = host
self.port = port
async def send(self, topic, content): # Sorti du __init__
try:
reader, writer = await asyncio.open_connection(self.host, self.port)
# ... reste du code
except ConnectionError:
print("Le Broker est injoignable.")
```
> Et pour le **Broker**, pour éviter de bloquer la boucle :
```python
import asyncio
# Dans handle_produce
# Utilisation de run_in_executor ou asyncio.to_thread (Python 3.9+)
await asyncio.to_thread(self._sync_db_insert, topic, content, hash, timestamp)
```
> ##### Ce que j'ai beaucoup aimé :
> 1. La validation du Hash : Très "Kafka-esque", ça garantit que les données n'ont pas été corrompues pendant le transport.
> 2. L'offset manuel : La gestion de l'offset côté client est exactement le principe de Kafka. C'est ce qui permet de "rejouer" des messages.
> C'est un excellent début de système distribué ! Est-ce que tu prévois d'ajouter la gestion de plusieurs partitions ou de groupes de consommateurs ?
### Conclusions
J'ai implémenté les fixs. Le code était à peu près fonctionnel en soit (l'erreur d'identation je l'ai vue à temps, mais j'avais oublié de faire Ctrl+S sur le fichier corrigé avant de téléverser à Gemini pour revue).
Maintenant je me rendais compte :
- j'avais oublié le principe de "threading"
- je ne me suis pas posé la question sur l'asynchrone avec SQLite3, pour moi c'était évident qu'une DB gère ça nativement... enfin j'me comprends
J'ai fait une mini-refacto de `broker.py` en rajoutant une fonction "_sync_save_to_db" en dehors de "handle_produce" qui est devenue un produit asynchrone sur du synchrone.
Pour `consumer.py` ça a été plus facile :
```python
# A l'origine
44: local_hash = utils.compute_hash(content)
48: self._save_offset(self.current_offset)
# Transformatioooooon
44: local_hash = await asyncio.to_thread(utils.compute_hash, content)
48: await asyncio.to_thread(self._save_offset, self.current_offset)
```
## 2ème revue de code IA
### Prompt de lancement
> Voici les nouvelles versions. Refais une revue pour voir
Avec en pièces jointes les fichiers *.py sauf main.py.
### Réponse
> C'est beaucoup mieux ! Tu as corrigé l'erreur structurelle du Producer et tu as bien intégré asyncio.to_thread pour les opérations lourdes. L'architecture commence à être vraiment propre.
> Cependant, il reste quelques "angles morts" techniques qui pourraient faire planter ton système en conditions réelles. Voici ma revue de code V2.
> #### 1. Le Broker : Attention au blocage caché
> Tu as très bien géré le handle_produce avec to_thread. Par contre, tu as oublié le handle_consume.
> - Le problème : Dans handle_consume, tu appelles sqlite3.connect, cur.execute et cur.fetchall directement dans la fonction async.
> - L'impact : Si un utilisateur demande à consommer 10 000 messages d'un coup, la base de données va travailler pendant plusieurs millisecondes (ou secondes). Pendant ce temps, tout le Broker est gelé : personne d'autre ne peut produire ou consommer.
> - Correction : Crée une méthode _sync_fetch_messages et appelle-la avec asyncio.to_thread, exactement comme tu l'as fait pour l'insertion.
> #### 2. Consumer : Le piège du chemin "Root"
> Dans consumer.py, tu as défini le chemin suivant :
> `self.offset_file = Path(f"/_offset/{topic}_offset")`
> - Le problème : En commençant par un /, tu indiques à Python d'aller chercher à la racine de ton disque dur.
> - L'impact : Sauf si tu lances ton script en mode Administrateur/Root et que tu as créé manuellement un dossier _offset à la racine de ton système, le code va planter avec une erreur PermissionError ou FileNotFoundError.
> - Correction : Utilise un chemin relatif ou lie-le à ton dossier de projet, comme dans ton env_var.py.
> #### 3. Robustesse : La création des dossiers
> Ton code part du principe que les dossiers data/ et _offset/ existent déjà.
> - Amélioration : Ajoute une ligne pour créer ces dossiers s'ils n'existent pas. C'est plus "User Friendly".
```python
# Dans Broker.__init__
self.db_path.parent.mkdir(parents=True, exist_ok=True)
# Dans Consumer.__init__
self.offset_file.parent.mkdir(parents=True, exist_ok=True)
```
> #### 4. Logique Kafka : Le "Streaming" manquant
> C'est le point conceptuel le plus important.
> - Actuellement : Quand un Consumer se connecte, le Broker lit les messages en base, les envoie, puis la boucle for row in rows se termine. Le Broker retourne alors dans handle_client et attend une nouvelle instruction data = await utils.receive_json(reader).
> - Le problème : Si un Producer envoie un nouveau message juste après, le Consumer ne le recevra jamais car il attend que le Broker lui envoie quelque chose, et le Broker attend que le Consumer lui demande quelque chose.
> - La solution "Kafka" : Dans handle_consume, après avoir envoyé les messages existants, tu devrais laisser la connexion ouverte et entrer dans une boucle qui "écoute" les nouveaux messages arrivant dans la DB (ou utiliser un système d'abonnement en mémoire/Pub-Sub).
> #### 5. Détails techniques (Peaufinage)
> ##### Performance de la DB
> Dans le Broker, tu ouvres et fermes une connexion SQLite à chaque opération.
> - Conseil : SQLite supporte très bien une connexion maintenue ouverte dans l'instance de la classe. Tu gagnerais beaucoup en performance en faisant self.con = sqlite3.connect(...) dans le __init__.
> ##### Le "Magic Black" sys.argv
> Ton commentaire sur sys.argv[1] if len(sys.argv) > 1 else "default" m'a fait rire. Ce n'est pas de la magie noire, c'est juste une expression ternaire. C'est très Pythonique ! Elle évite que le script ne crashe si tu oublies de donner un nom de topic en ligne de commande.
> #### Résumé des priorités :
> 1. Passer handle_consume en to_thread (Broker).
> 2. Changer le chemin /_offset/ en ./offsets/ (Consumer).
> 3. Ajouter mkdir pour ne pas avoir à créer les dossiers à la main.
> C'est vraiment du bon boulot, la structure utils partagée est très propre. Est-ce que tu veux qu'on regarde comment implémenter le "Push" en temps réel pour que le Consumer reçoive les messages sans s'arrêter ?
### Conclusions 2
Alors le commentaire qu'il mentionne sur "la magie noire" je l'ai gardé dans la version finale évidemment (là c'était Claude Haiku 4.5 par contre, je suis pauvre).
Sinon, la partie majeure de cette seconde revue était de faire une nouvelle méthode basée sur "_sync_save_to_db", à savoir "_sync_fetch_messages".
# Lancement
Bon, les revues de code c'est bon, le code est corrigé/refactorisé, il ressemble à 70% à l'origine déjà, c'est pas trop mal.
## Ordre de lancement :
1. `uv run broker.py`
2. `uv run consumer.py <nom_du_topic>`
3. `uv run producer.py <nom_du_topic> <message>`
# Retombées
- Bogue que visiblement Gemini n'a pas vu : mon code `message_content = " ".join(sys.argv[2:])` ne fonctionne que si le message fini par un espace...
Je corrigerai plus tard, d'abord je m'assure que c'est bien fonctionnel, et pour cause :
![Terminal](image.png)
- Je remarque aussi un petit décalage avec l'offset. Pas grave, ça s'ajuste rapidos. Juste que je ne l'oublie pas...
Ensuite je Ctrl+C sur le Consumer et je relance. J'enregistre un Lanthanide, puis deux Alcalins, re un Lanthanide, et après je redémarre en demandant un accès aux Alcalins pour voir la "file d'attente" :
![File d'attente](image-1.png)
Je ferme le Consumer avec Ctrl+C et je rouvre avec `uv run consumer.pr alcalins` et...
![Rattrapage de l'offset en attente](image-2.png)
Yoplàboum.
Maintenant on tente avec trois Producers :
![2 Consumers, 3 Producers](image-3.png)
Et bah voilà.
## L'espace en trop
Impossible de trouver d'où ça vient. Cette fois je demande non pas une revue de code mais de l'aide explicite à Gemini et il me répond que tout vient de ceci :
```python
async def send_json(writer, data):
message = f"{json.dumps(data)}\n"
writer.write(message.encode())
await writer.drain()
```
Cet imbécile de code de moi attend explicitement un caractère d'échappe pour considérer un message comme complet. Meh ! Je dois refactoriser encore un peu.
Mais maintenant ça semble bon.
@@ -0,0 +1,106 @@
import asyncio, sqlite3
import utils, env_var
class Broker:
def __init__(self, db_path):
self.db_path = db_path
self.db_path.parent.mkdir(parents=True, exist_ok=True)
self.con = sqlite3.connect(self.db_path, check_same_thread=False)
self._init_db()
def _init_db(self):
cur = self.con.cursor()
cur.execute("""
CREATE TABLE IF NOT EXISTS messages(
offset INTEGER PRIMARY KEY AUTOINCREMENT,
topic TEXT,
content TEXT,
hash TEXT,
timestamp REAL
)
""")
self.con.commit()
async def handle_client(self, reader, writer):
try:
while True:
data = await utils.receive_json(reader)
if not data:
break
action = data.get("action")
if action == "produce":
await self.handle_produce(writer, data)
elif action == "consume":
await self.handle_consume(writer, data)
finally:
writer.close()
await writer.wait_closed()
def _sync_save_to_db(self, topic, content, hash, timestamp):
cur = self.con.cursor()
cur.execute("""
INSERT INTO messages(topic, content, hash, timestamp)
VALUES (?, ?, ?, ?)
""", (topic, content, hash, timestamp))
offset = cur.lastrowid - 1 # type: ignore
self.con.commit()
return offset
def _sync_fetch_messages(self, topic, start_offset):
cur = self.con.cursor()
cur.execute("""
SELECT offset, content, hash
FROM messages
WHERE topic = ? AND offset >= ?
ORDER BY offset
""", (topic, start_offset))
return cur.fetchall()
async def handle_produce(self, writer, data):
topic = data["topic"]
content = data["content"]
hash = utils.compute_hash(content)
timestamp = utils.get_timestamp()
offset = await asyncio.to_thread(
self._sync_save_to_db,
topic, content, hash, timestamp
)
await utils.send_json(writer, {"status": "OK", "offset": offset})
async def handle_consume(self, writer, data):
topic = data["topic"]
start_offset = data.get("start_offset", 0)
while True:
rows = await asyncio.to_thread(self._sync_fetch_messages, topic, start_offset)
for row in rows:
message = {
"offset": row[0],
"content": row[1],
"hash": row[2],
}
await utils.send_json(writer, message)
start_offset = row[0] + 1
await asyncio.sleep(0.5)
async def run(self, host, port):
server = await asyncio.start_server(self.handle_client, host, port)
async with server:
await server.serve_forever()
if __name__ == "__main__":
broker = Broker(env_var.DB_PATH)
try:
asyncio.run(broker.run(env_var.HOST, env_var.PORT))
except KeyboardInterrupt:
print(f"\nArrêt du Broker.")
@@ -0,0 +1,64 @@
import asyncio, os, sys
import utils, env_var
from pathlib import Path
class Consumer:
def __init__(self, topic, host, port):
self.topic = topic
self.host = host
self.port = port
self.offset_file = env_var.OFFSETS_DIR / f"{topic}_offset"
self.offset_file.parent.mkdir(parents=True, exist_ok=True)
self.current_offset = self._load_offset()
def _load_offset(self):
if self.offset_file.exists():
return int(self.offset_file.read_text().strip())
return 0
def _save_offset(self, offset):
self.offset_file.write_text(str(offset))
async def start(self):
try:
reader, writer = await asyncio.open_connection(self.host, self.port)
subscribe_msg = {
"action": "consume",
"topic": self.topic,
"start_offset": self.current_offset
}
await utils.send_json(writer, subscribe_msg)
while True:
message = await utils.receive_json(reader)
if not message:
break
content = message["content"]
hash_message = message["hash"]
offset = message["offset"]
local_hash = await asyncio.to_thread(utils.compute_hash, content)
if local_hash == hash_message:
print(f"[{offset}] {content}")
self.current_offset = offset + 1
await asyncio.to_thread(self._save_offset, self.current_offset)
else:
print(f"[ALERTE] : Corruption détectée à {offset=}")
except ConnectionRefusedError:
print(f"[ERREUR] : Connexion impossible au Broker.")
finally:
if "writer" in locals():
writer.close()
await writer.wait_closed()
if __name__ == "__main__":
topic_name = sys.argv[1] if len(sys.argv) > 1 else "default" # J'ai eu de l'aide de l'IA sur celle-là pour déboguage. Niveau magie noire
consumer = Consumer(topic_name, env_var.HOST, env_var.PORT)
try:
asyncio.run(consumer.start())
except KeyboardInterrupt:
print(f"\nDéconnexion du Consumer.")
@@ -0,0 +1,8 @@
from pathlib import Path
BASE_DIR = Path(__file__).parent
DB_PATH = BASE_DIR / "data" / "kafkaien.db"
OFFSETS_DIR = BASE_DIR / "offsets"
HOST = "127.0.0.1"
PORT = 8888
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@@ -0,0 +1,6 @@
def main():
print("Hello from boiche-gauvain-eval-15-05-2026!")
if __name__ == "__main__":
main()
@@ -0,0 +1 @@
17
@@ -0,0 +1,47 @@
import asyncio, sys
import utils, env_var
class Producer:
def __init__(self, host, port):
self.host = host
self.port = port
async def send(self, topic, content):
writer = None
try:
reader, writer = await asyncio.open_connection(self.host, self.port)
message = {
"action": "produce",
"topic": topic,
"content": content
}
await utils.send_json(writer, message)
response = await utils.receive_json(reader)
if response and response.get("status") == "OK":
print(f"[SUCCES] Message enregistré à l'offset {response.get('offset') + 1}.")
else:
print("[ERREUR] Le Broker a renvoyé uyne réponse invalide.")
except ConnectionError:
print("[ERREUR] Le Broker est injoignable.")
except Exception as error:
print(f"[ERREUR] Une erreur est survenue : {error}")
finally:
if writer:
writer.close()
await writer.wait_closed()
if __name__ == "__main__":
if len(sys.argv) < 3:
print("Usage: python producer.py <topic> <message>")
sys.exit(1)
topic_name = sys.argv[1]
message_content = " ".join(sys.argv[2:])
producer = Producer(env_var.HOST, env_var.PORT)
asyncio.run(producer.send(topic_name, message_content))
@@ -0,0 +1,7 @@
[project]
name = "boiche-gauvain-eval-15-05-2026"
version = "0.1.0"
description = "C'est une évaluation pur Rachid J sur LiveCampus"
readme = "README.md"
requires-python = ">=3.12"
dependencies = []
@@ -0,0 +1,20 @@
import json, hashlib, time
# https://docs.python.org/3/library/json.html
# https://docs.python.org/3/library/hashlib.html
def compute_hash(content):
return hashlib.sha256(content.encode()).hexdigest()
def get_timestamp():
return time.time()
async def send_json(writer, data):
message = f"{json.dumps(data)}\n"
writer.write(message.encode())
await writer.drain()
async def receive_json(reader):
data = await reader.readline()
if not data:
return None
return json.loads(data.decode())
+8
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@@ -0,0 +1,8 @@
version = 1
revision = 3
requires-python = ">=3.12"
[[package]]
name = "boiche-gauvain-eval-15-05-2026"
version = "0.1.0"
source = { virtual = "." }
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+24
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from dataclasses import dataclass
from typing import Callable
@dataclass
class User:
username: str
is_authenticated: bool = False
def authentication_required(fonction: Callable):
def internal_wrapper(user: User):
if not user.is_authenticated:
return PermissionError(f"L'utilisateur {user.username} n'est pas authentifié.")
return fonction(user)
return internal_wrapper
@authentication_required
def operation_sensible(user: User):
return f"Opération sensible faite par {user.username}."
alice = User("alice@courriel.fr", True)
bob = User("bob@courriel.fr")
print(operation_sensible(alice))
print(operation_sensible(bob))
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from typing import Callable
class Decorateur:
def __init__(self, fonction: Callable):
self.fonction = fonction
def __call__(self, *args, **kwargs):
print(f"Appel de la fonction {self.fonction.__name__}")
return self.fonction(*args, **kwargs)
@Decorateur
def addition(a, b):
return a + b
@@ -0,0 +1,37 @@
from typing import Callable
import time
def decorateur(fonction: Callable):
def internal_wrapper(*args, **kwargs):
print(f"Appel de la fonction {fonction.__name__}")
resultat = fonction(*args, **kwargs)
print(f"Fin du décorateur")
return resultat
return internal_wrapper
def addition(a, b):
return a + b
def salutations(name):
return f"Bonjour {name}."
def multiplication(a, b, c):
return a * b * c
# Décorateur qui calcule le temps d'exécution de n'importe quelle fonction
def decorateur_temps(fonction: Callable):
def internal_wrapper(*args, **kwargs):
nonlocal time_total
time_start = time.time()
result = fonction(*args, **kwargs)
time_duration = time.time() - time_start
time_total += time_duration
print(f"Temps d'exécution : {time_duration} - Total : {time_total}")
return result
time_total = 0
return internal_wrapper
@@ -0,0 +1,62 @@
"""
Classe décoratrice qui calcule le temps d'exécution
de n'importe quelle fonction et qui l'enregistre
dans une DB SQLite
=> (fonction_name, execution_time, execution_date)
=> Date : YYYY-MM-DD HH:MM:SS
1. La DB existe ? Oui, Non
2. save()
"""
import sqlite3
from typing import Callable
from time import time, strftime, gmtime, perf_counter
class Decorateur:
def __init__(self, fonction: Callable):
self.fonction = fonction
self.connection = sqlite3.connect("functions.db")
def create_table(self):
cursor = self.connection.cursor()
cursor.execute("""
CREATE TABLE IF NOT EXISTS exec_stats(
function_name TEXT,
execution_time REAL,
execution_date TEXT
)
""")
self.connection.commit()
def __call__(self, *args, **kwargs):
print(f"Appel de la fonction {self.fonction.__name__}")
start_time = time.perf_counter()
resultat = self.fonction(*args, **kwargs)
end_time = time.perf_counter()
execution_time = end_time - start_time
execution_date = time.strftime("%Y-%m-%d %H:%M:%S")
self.save_to_db(
function_name= self.fonction.__name__,
execution_time= execution_time,
execution_date= execution_date
)
return resultat
def save_to_db(self, function_name, execution_time, execution_date):
cursor = self.connection.cursor()
cursor.execute("""
INSERT INTO exec_stats(function_name, execution_time, execution_date)
VALUES (?, ?, ?)
""", (function_name, execution_time, execution_date))
self.connection.commit()
@Decorateur
def test():
return f"Bah ouais quoi."
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@@ -0,0 +1,11 @@
from typing import Callable
def decorateur(fonction: Callable):
print(f"Appel de la fonction {fonction.__name__}")
return fonction # où il retourne le résultat de la fonction
def simple_fonction():
print("Hello tout le monde !")
fonction_decoree = decorateur(simple_fonction)
fonction_decoree()
+13
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@@ -0,0 +1,13 @@
import argparse
parser = argparse.ArgumentParser(description= "Outil de salutation")
parser.add_argument("nom", help= "Le nom de la personne à saluer")
parser.add_argument("--majuscule", action= "store_true", help= "Afficher le message de salutation en majuscules")
args = parser.parse_args()
message = f"Bonjour {args.nom}"
if args.majuscule:
message = message.upper()
print(message)
+63
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import argparse
import time
### Générer adresse IP
import random
import socket
import struct
def ip_address():
return socket.inet_ntoa(struct.pack('>I', random.randint(1, 0xffffffff)))
### Fin du bloc de l'addresse IP
parser = argparse.ArgumentParser(prog="NetInfo", description= "Outil réseau")
parser.add_argument("-v", "--verbose", action="store_true", help="Mode verbeux")
subparsers = parser.add_subparsers(dest="commande", help="Commande à exécuter")
# parent_parser = argparse.ArgumentParser(add_help=False)
# parent_parser.add_argument("-v", "--verbose", action="store_true", help="Mode verbeux")
scan_parser = subparsers.add_parser("scan", help="Scan d'un hôte")
scan_parser.add_argument("host", default="192.168.1.1", help="Adresse IP de l'hôte cible")
scan_parser.add_argument("-p", "--ports", default=[80], nargs= "+", type= int)
whois_parser = subparsers.add_parser("whois", help="Ping sur un hôte")
whois_parser.add_argument("domain", help="Domaine désiré pour les informations")
args = parser.parse_args()
def net_info(fonction):
def internal_wrapper(args):
if args.verbose:
print(f"[DEBUG] Lancement de la commande...")
start_time = time.perf_counter()
result = fonction(args)
print(f"[DEBUG] Commande terminée.")
print(f"[DEBUG] Commande exécutée en {time.perf_counter() - start_time} secondes.")
return result
return fonction(args)
return internal_wrapper
@net_info
def scan(args):
print(f"Scan de l'hôte: {args.host}")
results = []
for port in args.ports:
status = "ouvert" if port % 2 == 0 else "fermé"
results.append(f"Port {port}: {status}")
print(f"Port {port}: {status}")
return results
@net_info
def whois(args):
print(f"WHOIS pour {args.domain}")
print(f"\
IP : {ip_address()}\n\
Registrar : Exemple\n\
Expirattion : Bientôt\n\
")
if args.commande == "scan":
scan(args)
elif args.commande == "whois":
whois(args)
+11
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import argparse
parser = argparse.ArgumentParser(description= "Outil réseau")
subparsers = parser.add_subparsers(dest="commande", help="Commande à exécuter")
scan_parser = subparsers.add_parser("scan", help="Scan d'un hôte")
scan_parser.add_argument("--host")
scan_parser.add_argument("--port", nargs= "+", type= int)
ping_parser = subparsers.add_parser("ping", help="Ping sur un hôte")
ping_parser.add_argument()
+9
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@@ -0,0 +1,9 @@
[project]
name = "jour-01"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"typing>=3.10.0.0",
]
+27
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@@ -0,0 +1,27 @@
from dataclasses import dataclass, field
from typing import Callable
@dataclass
class User:
username: str
is_authenticated: bool = False
roles: list[str] = field(default_factory=lambda: ["user"])
def required_roles(roles: list[str]):
def wrapper(fonction: Callable):
def internal_wrapper(user: User):
if not any(role in user.roles for role in roles): # True => [False, False, True]
raise PermissionError(f"L'utilisateur {user.username} n'a pas le rôle requis.")
return fonction(user)
return internal_wrapper
return wrapper
@required_roles(["admin", "modo"])
def operation_sensible(user: User):
return f"Opération sensible faite par {user.username}"
alice = User("alice@courriel.fr", True, ["modo"])
bob = User("bob@courriel.fr", True)
print(operation_sensible(alice))
+19
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@@ -0,0 +1,19 @@
"""
uv run scanner.py --host 192.0.0.1 --port 80 -t 2.5
-h / --host : hôte en texte
-p / --port : port en int
-t / --timeout : timeout en secondes (float)
"""
import argparse
parser = argparse.ArgumentParser(prog="Bistro", description= "Connexion à un serveur distant")
parser.add_argument("--host", type= str, help= "Défini l'emplacement du serveur")
parser.add_argument("-p", "--ports", type= int, choices= [80, 443, 3000, 8000], nargs= "+", default= 80, help= "Défini le port visé sur le serveur")
parser.add_argument("-t", "--timeout", type= float, help= "Défini (optionnellement) une durée d'exécution maximum sans retour du serveur avant échec")
args = parser.parse_args()
for port in args.ports:
print(f"Scan de {args.host} sur le port {port} (timeout= {args.timeout})")
+23
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@@ -0,0 +1,23 @@
version = 1
revision = 3
requires-python = ">=3.12"
[[package]]
name = "jour-01"
version = "0.1.0"
source = { virtual = "." }
dependencies = [
{ name = "typing" },
]
[package.metadata]
requires-dist = [{ name = "typing", specifier = ">=3.10.0.0" }]
[[package]]
name = "typing"
version = "3.10.0.0"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/b0/1b/835d4431805939d2996f8772aca1d2313a57e8860fec0e48e8e7dfe3a477/typing-3.10.0.0.tar.gz", hash = "sha256:13b4ad211f54ddbf93e5901a9967b1e07720c1d1b78d596ac6a439641aa1b130", size = 78962, upload-time = "2021-05-01T18:03:58.186Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/f2/5d/865e17349564eb1772688d8afc5e3081a5964c640d64d1d2880ebaed002d/typing-3.10.0.0-py3-none-any.whl", hash = "sha256:12fbdfbe7d6cca1a42e485229afcb0b0c8259258cfb919b8a5e2a5c953742f89", size = 26320, upload-time = "2021-05-01T18:03:56.398Z" },
]
+25
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@@ -0,0 +1,25 @@
import argparse
import time
def timer_command(fonction):
def internal_wrapper(args):
if args.verbose:
print("[DEBUG] Lancement de la commande...")
start_time = time.perf_counter()
result = fonction(args)
print(f"[DEBUG] Terminé en {time.perf_counter() - start_time}")
return result
return fonction(args)
return internal_wrapper
parser = argparse.ArgumentParser(description="Un scanneur")
parser.add_argument("-n", "--numbers", nargs= "+", type= int, help="Nombres à additioner")
parser.add_argument("-v", "--verbose", action="store_true", help="Mode verbeux")
@timer_command
def addition(args):
return sum(args.numbers)
args = parser.parse_args()
print(addition(args))
+1
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@@ -0,0 +1 @@
3.12
+3
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@@ -0,0 +1,3 @@
```
uv add pyftpdlib
```
+18
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@@ -0,0 +1,18 @@
from scapy.all import rdpcap, TCP, UDP, ICMP, ARP
packets = rdpcap("ultimate.pcapng")
protocols = {"TCP": TCP, "UDP": UDP, "ICMP": ICMP, "ARP": ARP}
stats = {name: 0 for name in [*protocols, "Others"]}
for packet in packets:
for name, layer in protocols.items():
if packet.haslayer(layer):
stats[name] += 1
break
stats["Others"] += 1
print("Répartition par protocole")
for proto, count in stats.items():
if count > 0:
print(f"{proto:6} : {count} paquets.")
+7
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@@ -0,0 +1,7 @@
from ftplib import FTP
ftp = FTP()
ftp.connect("127.0.0.1", 2121)
ftp.login("John", "P4ssword!")
print("Connecté au serveur.")
ftp.quit()
+42
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@@ -0,0 +1,42 @@
import cv2
import os
DOSSIER_IMAGES = "./images_extraites"
DOSSIER_VISAGES = "./visages_detectes"
def detecter_visages(dossier_src=DOSSIER_IMAGES, dossier_dst=DOSSIER_VISAGES):
os.makedirs(dossier_dst, exist_ok=True)
modele = cv2.data.haarcascades + "haarcascade_frontalface_default.xml"
detecteur = cv2.CascadeClassifier(modele)
compteur = 0
for nom_fichier in os.listdir(dossier_src):
if not nom_fichier.lower().endswith((".jpg", ".jpeg", ".png")):
continue
chemin = os.path.join(dossier_src, nom_fichier)
image = cv2.imread(chemin)
if image is None:
continue
gris = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
visages = detecteur.detectMultiScale(gris, scaleFactor=1.05, minNeighbors=4, minSize=(20, 20))
if len(visages) == 0:
print(f" {nom_fichier} : aucun visage")
continue
print(f" {nom_fichier} : {len(visages)} visage(s) détecté(s)")
for (x, y, largeur, hauteur) in visages:
cv2.rectangle(image, (x, y), (x + largeur, y + hauteur), (0, 255, 0), 2)
chemin_sortie = os.path.join(dossier_dst, nom_fichier)
cv2.imwrite(chemin_sortie, image)
compteur += 1
print(f"\n{compteur} images avec visages sauvegardées dans {dossier_dst}/")
if __name__ == "__main__":
detecter_visages()
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@@ -0,0 +1,3 @@
from collections import namedtuple
Response = namedtuple("Response", ["header"])
+16
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@@ -0,0 +1,16 @@
import re # RegEx
def extract_header(payload):
try:
header_brut = payload[:payload.index(b"\r\n\r\n") + 2]
except ValueError:
return None
header = dict(re.findall(
r"(?P<cle>.*?): (?P<valeur>.*?)\r\n",
header_brut.decode(errors="ignore")
))
if "Content-Type" not in header:
return None
return header
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@@ -0,0 +1,36 @@
from scapy.all import TCP
class Extracteur:
def __init__(self, fichier_pcap):
pcap = rdpcap(fichier_pcap)
self.sessions = pcap.sessions()
self.responses = []
def trouver_reponses(self):
for session in self.sessions:
payload = b""
for paquet in self.sessions[session]:
try:
if paquet[TCP].dport == 80 or paquet[TCP].sport == 80:
payload += bytes(paquet[TCP].payload)
except IndexError:
pass
if payload:
header = extract_header(payload)
if header is None:
continue
self.responses.append(Response(header=header, payload=payload))
def ecrire_images(self):
os.makedirs(DOSSIER_SORTIE, exist_ok=True)
compteur = 0
for response in self.responses:
contenu, content_type = extract_content(response)
if contenu and content_type:
nom = os.path.join(DOSSIER_SORTIE, f"image_{compteur}.{content_type}")
with open(nom, "wb") as f:
f.write(contenu)
print(f" {nom}")
compteur += 1
print(f"\n{compteur} images extraites")
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@@ -0,0 +1,10 @@
[project]
name = "scappy-test"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"pyftpdlib>=2.2.0",
"scapy>=2.7.0",
]
+14
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@@ -0,0 +1,14 @@
from pyftpdlib.handlers import FTPHandler
from pyftpdlib.authorizers import DummyAuthorizer
from pyftpdlib.servers import FTPServer
authorizer = DummyAuthorizer()
authorizer.add_user("John", "P4ssword!", ".", perm="r")
handler = FTPHandler
handler.authorizer = authorizer
server = FTPServer(("127.0.0.1", 2121), handler)
print("Serveur FTP démarré")
server.serve_forever()
+1
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@@ -0,0 +1 @@
from scapy.all import sniff, conf, DNSQR, DNS,
+28
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@@ -0,0 +1,28 @@
import platform
from scapy.all import sniff, TCP, IP, conf, get_if_list
from scapy.packet import Packet
conf.sniff_promisc = False
system = platform.system()
# Interface de déboguage (si le nom de l'adaptateur n'est pas celui renseigné plus bas)
# print("Interfaces disponibles:")
# for iface in get_if_list():
# print(f" - {iface}")
match system:
case "Darwin": # MacOS
lo = "lo0"
case "Windows":
lo = "\\Device\\NPF_Loopback"
case _: # Certainement du Linux
lo = "lo"
def detecter_credentials(paquet: Packet):
if paquet.haslayer(TCP) and paquet[TCP].payload:
payload = bytes(paquet[TCP].payload).decode(errors="ignore")
if payload.startswith("USER ") or payload.startswith("PASS "):
print(f"{paquet[IP].src} => {paquet[IP].dst}")
print(payload.strip())
sniff(filter= "tcp port 2121", iface= lo, prn= detecter_credentials, store= 0)
+35
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from scapy.all import IP, ICMP, sr1, conf, TCP, ARP, Ether, srp, UDP, DNS, DNSQR, Packet
conf.sniff_promisc = False
cible = "79.137.78.240" # datafrance.fr, le site de Rachid
ports = [22, 80, 443, 8080, 3306]
# __truediv__
for port in ports:
paquet = IP(dst= cible) / TCP(dport= port, flags= 'S')
reponse = sr1(paquet, timeout= 1, verbose= 0)
if reponse and reponse[TCP].flags == 'SA': # SYN-ACK, le serveur répond "oui" aux connexions
print(f"Port {port}: ouvert")
else:
print(f"Port {port}: fermé ou filtré")
paquet = Ether(dst="ff:ff:ff:ff:ff:ff") / ARP(pdst="192.168.1.0/24") # Ether : adresse Broadcast (tous les appareils) / ARP : "qui a cette adresse ?"
reponses, _ = srp(paquet, timeout= 2, verbose= 0)
print(f"{len(reponses)} hôtes détectés: ")
for envoi, reception in reponses:
print(f"{reception.psrc} -> {reception.hwsrc}")
requete = IP(dst= '1.1.1.1') / UDP(dport= 53) / DNS(
rd= 1, # Recursive Desired (demande une réponse)
qd= DNSQR(qname= "datafrance.fr") # Résolution de datafrance.fr
)
reponse = sr1(requete, timeout= 2, verbose= 0)
if reponse and reponse.haslayer(DNS):
for i in range(reponse[DNS].ancount):
print(reponse[DNS].an[i].rdata) # rdata : Response Data
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version = 1
revision = 3
requires-python = ">=3.12"
[[package]]
name = "pyasynchat"
version = "1.0.5"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "pyasyncore" },
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{ name = "scapy" },
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{ name = "scapy", specifier = ">=2.7.0" },
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+1
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@@ -0,0 +1 @@
3.12
View File
+14
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@@ -0,0 +1,14 @@
import socket
from env_var import SERVER_PORT, CLIENT_PORT
client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client.bind(("localhost", CLIENT_PORT))
client.connect(("localhost", SERVER_PORT))
print(f"✅ Client connecté au serveur sur port {SERVER_PORT} depuis le port {CLIENT_PORT}")
client.send("Salut tout le monde !".encode())
reponse = client.recv(1024).decode()
print(reponse)
client.close()
+16
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@@ -0,0 +1,16 @@
import socket
from env_var import SERVER_PORT, CLIENT_PORT
client = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# client.bind(("localhost", CLIENT_PORT))
# client.connect(("localhost", SERVER_PORT))
client.sendto(
"Salut depuis UDP".encode(),
("localhost", SERVER_PORT)
)
data, server_address = client.recvfrom(1024)
print(f"Réponse du serveur : {data.decode()}")
client.close()
+2
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@@ -0,0 +1,2 @@
SERVER_PORT = 9999
CLIENT_PORT = 11111
+7
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@@ -0,0 +1,7 @@
[project]
name = "socket-app"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = []
+19
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@@ -0,0 +1,19 @@
import socket
from env_var import SERVER_PORT
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.bind(("localhost", SERVER_PORT))
server.listen()
print(f"✅ Serveur en écoute sur le port {SERVER_PORT}")
client_socket, client_address = server.accept()
print(f"Connexion reçue de {client_address}")
message = client_socket.recv(1024) # nombre de bytes
print(f"Message reçu : {message.decode()}")
reponse = "Bien reçu Bien reçu."
client_socket.send(reponse.encode())
client_socket.close()
server.close()
+24
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@@ -0,0 +1,24 @@
import socket
from env_var import SERVER_PORT
server = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
server.bind(("localhost", SERVER_PORT))
# server.listen()
print(f"✅ Serveur en écoute sur le port {SERVER_PORT}")
data, client_address = server.recvfrom(1024)
print(f"Message reçu de {client_address} : {data.decode()}")
reponse = "Bien reçu Bien reçu."
server.sendto("Message bien reçu.".encode(), client_address)
server.close()
### Et si le message reçu a plus de bytes que le tampon ? On le découpe pardi !
def receive_all(sock, buffer= 1024):
data = b""
while True:
chunk = sock.recv(buffer)
if not chunk:
break
data += chunk
return data
+8
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@@ -0,0 +1,8 @@
version = 1
revision = 3
requires-python = ">=3.12"
[[package]]
name = "socket-app"
version = "0.1.0"
source = { virtual = "." }
+1
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@@ -0,0 +1 @@
3.12
+3
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@@ -0,0 +1,3 @@
```
uv add websockets
```
+30
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@@ -0,0 +1,30 @@
import socket
from env_var import SERVER_PORT, CLIENT_PORT
def main():
client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client.connect(("localhost", SERVER_PORT))
# client.bind(("localhost", CLIENT_PORT))
print("🤝 Clavardage démarré. Tapez vos messages à la suite. Tapez 'Q' pour quitter.")
while True:
# Clavardage
message = input("MESSAGE > ")
if message.upper() == "Q":
client.close()
break
# elif len(message) <= 0:
# return f"Rentrez un message non vide."
client.sendall(message.encode("utf-8"))
data = client.recv(1024)
response = data.decode("utf-8")
print(f"REPONSE SERVEUR : {response}")
if __name__ == "__main__":
main()
+36
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@@ -0,0 +1,36 @@
import socket
import threading
from env_var import SERVER_PORT, CLIENT_PORT
from utils import receive_messages, send_messages
client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client.connect(("localhost", SERVER_PORT))
client_username = input("Rentrez votre pseudonyme (min 3 et max 12 caractères) pour la session > ")
if len(client_username) < 3 \
or len(client_username) > 12:
print(f"{client_username} contient {len(client_username)} caractères et n'est donc pas valide. Recommencez.")
quit(1)
print(f"Bienvenue, {client_username}.")
print("🤝 Clavardage démarré. Tapez vos messages à la suite. Tapez 'QUIT' ou 'Q' pour quitter.")
print()
client.sendall(f"USERNAME >>> {client_username}".encode("utf-8"))
thread_recv = threading.Thread(target=receive_messages, args=(client,))
thread_send = threading.Thread(target=send_messages, args=(client, client_username))
thread_recv.daemon = False
thread_send.daemon = True
thread_recv.start()
thread_send.start()
thread_recv.join()
thread_send.join()
client.close()
print("❌ Connexion fermée.")
@@ -0,0 +1,24 @@
#client
import socket
import threading
from utils import receive_messages, send_messages
client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client_socket.connect(("localhost", 9999))
pseudo = input("Choisissez votre pseudo : ")
client_socket.send(pseudo.encode())
print(f"Connecté au chat en tant que {pseudo} !\n")
thread_recv = threading.Thread(target=receive_messages, args=(client_socket,))
thread_send = threading.Thread(target=send_messages, args=(client_socket,))
thread_recv.start()
thread_send.start()
thread_recv.join()
thread_send.join()
print("Chat terminé.")
@@ -0,0 +1,23 @@
# client
import asyncio
import websockets
async def recevoir(websocket):
async for message in websocket:
print(f"\n[Message reçu] {message}")
async def envoyer(websocket):
while True:
message = await asyncio.get_event_loop().run_in_executor(None, input, "Vous : ")
await websocket.send(message)
async def main():
uri = "ws://localhost:8765"
async with websockets.connect(uri) as websocket:
print("Connecté au chat. Tapez vos messages.")
await asyncio.gather(
recevoir(websocket),
envoyer(websocket),
)
asyncio.run(main())
+2
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@@ -0,0 +1,2 @@
SERVER_PORT = 9001
CLIENT_PORT = 9002
+16
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@@ -0,0 +1,16 @@
## Exercice : chat multi-utilisateurs avec pseudo
### Consigne
Créez un système de chat qui permet à **plusieurs clients** de se connecter en même temps à un serveur. Chaque client choisit un pseudo à la connexion, et tous les messages sont diffusés à l'ensemble des participants avec le pseudo de l'expéditeur.
**Fonctionnalités attendues :**
1. Le serveur accepte plusieurs connexions simultanées (un thread par client)
2. À la connexion, le client envoie son pseudo en premier message
3. Le serveur annonce l'arrivée du nouveau participant à tous les autres
4. Quand un client envoie un message, le serveur le redistribue à tous les autres clients (pas à l'expéditeur)
5. Quand un client se déconnecte (ou tape `quit`), le serveur prévient les autres
6. Le client utilise deux threads : un pour envoyer, un pour recevoir (comme dans la version full-duplex)
**Exemple d'échange vu par un client :**
+6
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@@ -0,0 +1,6 @@
def main():
print("Hello from socket-chat!")
if __name__ == "__main__":
main()
+9
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@@ -0,0 +1,9 @@
[project]
name = "socket-chat"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"websockets>=16.0",
]
+48
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@@ -0,0 +1,48 @@
import socket, threading
from env_var import SERVER_PORT, CLIENT_PORT
def handle_connection(client):
while True:
data = client.recv(1024)
if not data:
break
message = data.decode("utf-8")
print(f"MESSAGE RECU : {message}")
response = f"MESSAGE RECU PAR LE SERVEUR : {message}"
client.sendall(response.encode("utf-8"))
client.close()
def main():
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
server.bind(("localhost", SERVER_PORT))
server.listen(5)
print(f"🤝 Clavardage démarré sur port {SERVER_PORT}. En attente de client.")
while True:
client, client_address = server.accept()
client_thread_receive = threading.Thread(
target= handle_connection,
args=(client,)
)
client_thread_sending = threading.Thread(
target= handle_connection,
args=(client,)
)
client_thread_receive.start()
client_thread_sending.start()
client_thread_receive.join()
client_thread_sending.join()
print(f"Client connecté : {client_address}")
print(f"Serveur de clavardage prêt.")
print()
if __name__ == "__main__":
main()
+44
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@@ -0,0 +1,44 @@
import socket
import threading
from env_var import SERVER_PORT, CLIENT_PORT
from utils import receive_messages, send_messages
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
server.bind(("localhost", SERVER_PORT))
server.listen(5)
print("👥 Chat démarré, en attente de client...")
client, client_address = server.accept()
print(f"Client connecté : {client_address}")
try:
username_msg = client.recv(1024).decode("utf-8")
if username_msg.startswith("USERNAME:"):
client_username = username_msg.split(":", 1)[1]
print(f"{client_username} a rejoint le salon.")
else:
client_username = "Anonyme"
except:
client_username = "Anonyme"
print(f"⚠️ Impossible de recevoir le pseudo du client.")
print(f"🤝 Clavardage démarré sur port {SERVER_PORT}.")
thread_recv = threading.Thread(target=receive_messages, args=(client,))
thread_send = threading.Thread(target=send_messages, args=(client, "[SERVEUR]"))
thread_recv.daemon = False
thread_send.daemon = True
thread_recv.start()
thread_send.start()
thread_recv.join()
thread_send.join()
client.close()
server.close()
print(f"{client_username} s'est déconnecté. Serveur fermé.")
@@ -0,0 +1,54 @@
# server
import socket
import threading
clients = []
lock = threading.Lock()
def broadcast(message, sender_socket=None):
with lock:
for client_socket, pseudo in clients:
if client_socket != sender_socket:
try:
client_socket.send(message.encode())
except:
pass
def handle_client(client_socket, client_address):
pseudo = client_socket.recv(4096).decode().strip()
with lock:
clients.append((client_socket, pseudo))
print(f"{pseudo} ({client_address}) a rejoint le chat.")
broadcast(f"[{pseudo} a rejoint le chat]", sender_socket=client_socket)
while True:
try:
message = client_socket.recv(4096).decode()
if not message or message.lower() == "quit":
break
print(f"{pseudo} : {message}")
broadcast(f"{pseudo} : {message}", sender_socket=client_socket)
except:
break
with lock:
clients.remove((client_socket, pseudo))
client_socket.close()
print(f"{pseudo} a quitté le chat.")
broadcast(f"[{pseudo} a quitté le chat]")
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
server_socket.bind(("localhost", 9999))
server_socket.listen(5)
print("Serveur de chat multi-utilisateurs démarré sur le port 9999...")
while True:
client_socket, client_address = server_socket.accept()
thread = threading.Thread(target=handle_client, args=(client_socket, client_address))
thread.start()
@@ -0,0 +1,28 @@
# server
import asyncio
import websockets
clients_connectes : set[websockets.ServerConnection] = set()
async def handle_client(websocket: websockets.ServerConnection):
clients_connectes.add(websocket)
print(f"Connexion : {websocket.remote_address}{len(clients_connectes)} client(s) connecté(s)")
try:
async for message in websocket:
print(f"Message de {websocket.remote_address} : {message}")
destinataires = clients_connectes - {websocket}
if destinataires:
await asyncio.gather(
*[client.send(message) for client in destinataires]
)
finally:
clients_connectes.discard(websocket)
print(f"Déconnexion : {websocket.remote_address}{len(clients_connectes)} client(s) restant(s)")
async def main():
async with websockets.serve(handle_client, "localhost", 8765):
print("Serveur de chat sur ws://localhost:8765")
await asyncio.Future()
asyncio.run(main())
+32
View File
@@ -0,0 +1,32 @@
import socket
def receive_messages(sock: socket.socket):
while True:
try:
message = sock.recv(4096).decode()
if not message:
print("\nConnexion fermée.")
sock.close()
break
if message.startswith("QUIT:"):
print(f"\n{message.split(':', 1)[1]} s'est déconnecté.")
sock.close()
break
print(f"\n{message}")
print("Vous > ", end="", flush=True)
except:
break
def send_messages(sock: socket.socket, username: str):
while True:
try:
message = input("Vous > ")
if message.upper() == 'Q' \
or message.upper() == 'QUIT':
sock.sendall(f"QUIT:{username}".encode())
break
if message:
complete_message = f"{username} > {message}"
sock.sendall(complete_message.encode())
except:
break
+59
View File
@@ -0,0 +1,59 @@
version = 1
revision = 3
requires-python = ">=3.12"
[[package]]
name = "socket-chat"
version = "0.1.0"
source = { virtual = "." }
dependencies = [
{ name = "websockets" },
]
[package.metadata]
requires-dist = [{ name = "websockets", specifier = ">=16.0" }]
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name = "websockets"
version = "16.0"
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]
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### Exercice 1
"""
Pour chaque situation, indiquer si l'usage demande :
- du Threading
- du MultiProcessing
- Aucun des deux
1. Vous développez un script qui télécharge 50 fichiers PDF depuis un serveur distant
==> Threading ✅
2. Votre programme doit appliquer un filtre de flou sur 500 images HD
==> MultiProcessing ✅
3. Vous écrivez un ChatBot qui écoute les messages de 10 utilisateurs simultanés sur un serveur socket
==> Threading ✅
4. Votre script lit un fichier CSV de 20 lignes et affiche le résultat dans la console
==> MultiProcessing ⛔ (Aucun des deux)
5. Vous devez entraîner 4 modèles de Machine Learning indépendants sur des jeux de données différents
==> Threading ⛔ (Multiprocessing)
6. Votre appli web doit envoyer un courriel de confirmation et une notification Slack à chaque inscription
==> Threading asynchrone ✅
7. Vous écrivez un script qui calcule les nombres premiers jusqu'à 10 millions, en découpant la plage en 4 sous-plages
==> MultiProcessing ✅
8. Votre programme doit surveiller 3 dossiers en même temps et réagir quand un nouveau fichier apparaît
==> Threading ✅
"""
### Exercice 2
import os, time, requests
from threading import Thread, current_thread
from multiprocessing import current_process
def io_bound(sec):
pid = os.getpid()
thread_name = current_thread().name
process_name = current_process().name
print(f"{pid} - {process_name} - {thread_name} => Start sleeping...")
time.sleep(sec)
print(f"{pid} - {process_name} - {thread_name} => Stop sleeping...")
def cpu_bound(n):
pid = os.getpid()
thread_name = current_thread().name
process_name = current_process().name
print(f"{pid} - {process_name} - {thread_name} => Start counting...")
while n > 0:
n -= 1
print(f"{pid} - {process_name} - {thread_name} => Stop counting...")
###### Partie A : IO-bound
URLS = [
"https://httpbin.org/get",
"https://httpbin.org/ip",
"https://httpbin.org/user-agent",
"https://httpbin.org/headers",
"https://httpbin.org/uuid",
"https://httpbin.org/base64/SWYgeW91IGNhbiByZWFkIHRoaXMsIGJyYXZvICE=",
"https://httpbin.org/bytes/100",
"https://httpbin.org/delay/0",
]
SLEEP = 1
def get_status_sequential(urls: list[str]):
for url in urls:
time.sleep(SLEEP)
print(f"\
URL : {url}\n\
Status : {requests.get(url).status_code}")
def get_status_threading(urls: list[str]):
results = {}
threads = []
def fetch_url(url):
pid = os.getpid()
thread_name = current_thread().name
process_name = current_process().name
print(f"{pid} - {process_name} - {thread_name} => Fetching {url}...")
status = requests.get(url).status_code
results[url] = status
print(f"{pid} - {process_name} - {thread_name} => {url}: {status}")
for url in urls:
thread = Thread(target=fetch_url, args=(url,))
threads.append(thread)
thread.start()
for thread in threads:
thread.join()
return results
if __name__ == "__main__":
print("\n--- Sequential Approach ---")
start_time = time.perf_counter()
get_status_sequential(URLS)
end_time = time.perf_counter()
seq_time = end_time - start_time
print(f"Sequential time: {seq_time:.2f} seconds")
print("\n--- Threading Approach ---")
start_time = time.perf_counter()
get_status_threading(URLS)
end_time = time.perf_counter()
thread_time = end_time - start_time
print(f"Threading time: {thread_time:.2f} seconds")
###### Partie B : CPU-bound
import hashlib
from multiprocessing import Manager, Process
def calculer_hash(donnee):
for _ in range(500_000): # travail CPU intentionnellement lourd
hashlib.sha256(donnee.encode()).hexdigest()
return hashlib.sha256(donnee.encode()).hexdigest()
DONNEES = ["alpha", "beta", "gamma", "delta"]
def get_hash_sequential(data_set: list[str]):
hash_results = []
for data in data_set:
hash_result = calculer_hash(data)
print(hash_result)
hash_results.append(hash_result)
return hash_results
def get_hash_threading(data_set: list[str]):
results = {}
threads = []
def hash_calculus(data):
pid = os.getpid()
thread_name = current_thread().name
process_name = current_process().name
print(f"{pid} - {process_name} - {thread_name} => Hashing {data}...")
result = calculer_hash(data)
results[data] = result
print(f"{pid} - {process_name} - {thread_name} => {data}: {result}")
for data in data_set:
thread = Thread(target=hash_calculus, args=(data,))
threads.append(thread)
thread.start()
for thread in threads:
thread.join()
return results
def hash_calculus(data, results):
pid = os.getpid()
thread_name = current_thread().name
process_name = current_process().name
print(f"{pid} - {process_name} - {thread_name} => Hashing {data}...")
result = calculer_hash(data)
results[data] = result
print(f"{pid} - {process_name} - {thread_name} => {data}: {result}")
def get_hash_multiprocessing(data_set: list[str]):
with Manager() as manager:
results = manager.dict()
processes = []
for data in data_set:
process = Process(target=hash_calculus, args=(data, results))
processes.append(process)
process.start()
for process in processes:
process.join()
return dict(results)
if __name__ == "__main__":
print("\n--- Sequential Approach ---")
start_time = time.perf_counter()
get_hash_sequential(DONNEES)
end_time = time.perf_counter()
seq_time = end_time - start_time
print(f"Sequential time: {seq_time:.2f} seconds")
print("\n--- Threading Approach ---")
start_time = time.perf_counter()
get_hash_threading(DONNEES)
end_time = time.perf_counter()
thread_time = end_time - start_time
print(f"Threading time: {thread_time:.2f} seconds")
print("\n--- MultiProcessing Approach ---")
start_time = time.perf_counter()
get_hash_multiprocessing(DONNEES)
end_time = time.perf_counter()
thread_time = end_time - start_time
print(f"Threading time: {thread_time:.2f} seconds")

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