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https://github.com/ltcptgeneral/cs239-caching.git
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Merge branch 'main' of https://github.com/ltcptgeneral/cs239-caching
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commit
31ffbc18ec
@ -8,7 +8,7 @@ class Node:
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self.next = None
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self.prev = None
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class SeiveCache(Cache):
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class SieveCache(Cache):
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def __init__(self, limit: int):
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super().__init__(limit)
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self.limit = limit # Fix: Store limit properly
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@ -1,4 +1,4 @@
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cache_strategy: "Seive"
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cache_strategy: "Sieve"
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cache_limit: 50
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l2_cache_limit: 100 # unused
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db_file: "llmData_sns.json" # Change this to the name of any json file within the "database/datastore" folder
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@ -1,12 +1,16 @@
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from tinydb import TinyDB, Query
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from config import DB_FILE
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import shutil
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import random
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DB_LOCATION = "database/datastore/" + DB_FILE
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# Initialize TinyDB as a NoSQL key-value store
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db = TinyDB(DB_LOCATION)
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# We don't want to change our main DB file, so we will make a temp DB file and use that as our DB file
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shutil.copyfile( DB_LOCATION, "temp_DB.json" )
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db = TinyDB("temp_DB.json")
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User = Query()
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def get_user_ids():
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@ -34,9 +38,16 @@ def get_user_profile(user_id):
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result = db.search(User.user_id == user_id)
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return result[0] if result else None
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def update_user_profile(user_id, name, followers, bio, posts, friends):
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def update_user_profile( data ):
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"""Update user profile in TinyDB"""
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db.upsert({"user_id": user_id, "name": name, "followers": followers, "bio": bio, "posts": posts, "friends": friends}, User.user_id == user_id)
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user_id = str( data["user_id"] )
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# Basically make sure friends stay the same (for prefetching). Not great implementation, but it works
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curr_user = db.search(User.user_id == user_id)
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if( curr_user and data["friends"] == None ):
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data["friends"] = curr_user[0]["friends"]
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db.upsert( data, User.user_id == user_id )
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def init_db():
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"""Ensure TinyDB is initialized before FastAPI starts and prepopulate some data"""
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16
app/main.py
16
app/main.py
@ -3,11 +3,12 @@ from database import get_user_ids, get_user_profile, update_user_profile, get_us
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from cache.cache import BaselineCache
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from cache.prefetch_cache import PrefetchCache
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from cache.tiered_cache import TieredCache
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from cache.eviction_seive import SeiveCache
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from cache.eviction_sieve import SieveCache
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from cache.nocache import NoCache
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from cache.idealcache import IdealCache
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from cache.read_after_write_cache import ReadAfterWriteCache
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from config import CACHE_STRATEGY, CACHE_LIMIT, L2_CACHE_LIMIT
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from models.models import User
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import time
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app = FastAPI()
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@ -22,9 +23,9 @@ elif CACHE_STRATEGY == "Prefetch":
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elif CACHE_STRATEGY == "Tiered":
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print("Using tiered cache strategy")
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cache = TieredCache(limit=CACHE_LIMIT, l2_limit=L2_CACHE_LIMIT)
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elif CACHE_STRATEGY == "Seive":
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print("Using seive cache strategy")
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cache = SeiveCache(limit=CACHE_LIMIT)
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elif CACHE_STRATEGY == "Sieve":
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print("Using sieve cache strategy")
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cache = SieveCache(limit=CACHE_LIMIT)
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elif CACHE_STRATEGY == "None":
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print("Using no cache strategy")
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cache = NoCache(limit=CACHE_LIMIT)
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@ -62,8 +63,11 @@ def fetch_user_profile(user_id: str):
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return {"user_id": user_id, "profile": profile, "source": "database", "time_ms": (time.time() - start) * 1000}
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@app.post("/update_user/")
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def modify_user_profile(user_id: str, name: str, followers: int, bio: str, posts: str, friends: list[str]):
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async def modify_user_profile(user_data : User):
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"""Update user profile and refresh cache"""
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update_user_profile(user_id, name, followers, bio, posts, friends)
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user_id=user_data.user_id
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user_dict = user_data.dict()
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update_user_profile(user_dict)
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cache.invalidate(user_id) # Invalidate old cache
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return {"message": "User profile updated successfully"}
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9
app/models/models.py
Normal file
9
app/models/models.py
Normal file
@ -0,0 +1,9 @@
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from pydantic import BaseModel
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class User(BaseModel):
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user_id: str
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name: str | None = None
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followers: int | None = None
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bio: str | None = None
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posts: str | None = None
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friends: list | None = None
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@ -15,9 +15,9 @@ random.seed(0)
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# Workload Configurations
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workloads = {
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"random_read": {"read": 1.0, "write": 0.0},
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"read_heavy": {"read": 0.8, "write": 0.2},
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"write_heavy": {"read": 0.2, "write": 0.8},
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"random_read": {"read": 1.0, "write": 0.0},
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"frequent_users": {"read": 1.0, "write": 0.0, "frequent_percent": 0.7},
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"frequent_after_write": {"read": 0.7, "write": 0.3},
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"friend_based": {"read": 1.0, "write": 0.0, "friend_access": 0.7},
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@ -30,12 +30,13 @@ def generate_request(workload, last_updated=None):
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"""Generate read or write requests based on workload type"""
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if random.random() < workload["read"]:
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user_id = select_user(workload, last_updated)
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return baseurl + f"/user/{user_id}", "GET"
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return baseurl + f"/user/{user_id}", None, "GET"
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# Write operation (updates user profile)
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user_id = select_user(workload, last_updated)
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url = baseurl + f"/update_user/?user_id={user_id}&name=UpdatedUser&followers=500&bio=Updated&posts=UpdatedPost"
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return url, "POST"
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write_obj = { "user_id":user_id,"name": "UpdatedUser", "followers":"500","bio":"Updated","posts":"UpdatedPost"}
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url = baseurl + f"/update_user/"
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return url, write_obj, "POST"
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def select_user(workload, last_updated):
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"""Selects a user based on workload type"""
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@ -55,8 +56,12 @@ def run_workload(name, workload):
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last_updated = None
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for _ in tqdm(range(10000), desc=f"Running {name}"):
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url, method = generate_request(workload, last_updated)
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response = requests.request(method, url)
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url, data, method = generate_request(workload, last_updated)
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if( method == "GET" ):
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response = requests.request(method, url)
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else:
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response = requests.post(url, json = data)
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try:
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content = json.loads(response.content)
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