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106 lines
3.3 KiB
Python
106 lines
3.3 KiB
Python
2 years ago
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from concurrent.futures import ProcessPoolExecutor
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import asyncio
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import os
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import ujson
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from siphashc import siphash
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import db
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import util
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# 4chan schema
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from schemas.ch4_s import ATTRMAP
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# For key generation
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import string
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import random
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# For timestamp processing
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import datetime
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# For 4chan message parsing
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from bs4 import BeautifulSoup
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from numpy import array_split
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from math import ceil
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log = util.get_logger("process")
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# Maximum number of CPU threads to use for post processing
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CPU_THREADS = os.cpu_count()
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p = ProcessPoolExecutor(CPU_THREADS)
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def get_hash_key():
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hash_key = db.r.get("hashing_key")
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if not hash_key:
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letters = string.ascii_lowercase
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hash_key = "".join(random.choice(letters) for i in range(16))
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log.debug(f"Created new hash key: {hash_key}")
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db.r.set("hashing_key", hash_key)
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else:
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hash_key = hash_key.decode("ascii")
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log.debug(f"Decoded hash key: {hash_key}")
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return hash_key
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hash_key = get_hash_key()
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async def spawn_processing_threads(data):
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print("SPAWN", data)
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if len(data) < CPU_THREADS:
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split_data = [data]
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else:
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msg_per_core = int(len(data) / CPU_THREADS)
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print("MSG PER CORE", msg_per_core)
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split_data = array_split(data, ceil(len(data) / msg_per_core))
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print("SPLIT DATA", split_data)
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for split in split_data:
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print("DELEGATING TO THREAD", len(split))
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await process_data_thread(split)
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@asyncio.coroutine
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def process_data_thread(data):
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"""
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Helper to spawn threads to process a list of data.
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"""
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loop = asyncio.get_event_loop()
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yield from loop.run_in_executor(p, process_data, data)
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def process_data(data):
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print("PROCESSING DATA", data)
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for index, msg in enumerate(data):
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#print("PROCESSING", msg)
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if msg["src"] == "4ch":
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board = msg["net"]
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thread = msg["channel"]
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# Calculate hash for post
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post_normalised = ujson.dumps(msg, sort_keys=True)
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hash = siphash(hash_key, post_normalised)
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hash = str(hash)
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redis_key = f"cache.{board}.{thread}.{msg['no']}"
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key_content = db.r.get(redis_key)
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if key_content:
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key_content = key_content.decode("ascii")
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if key_content == hash:
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continue
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else:
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data[index][index]["type"] = "update"
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db.r.set(redis_key, hash)
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for key2, value in list(msg.items()):
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if key2 in ATTRMAP:
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msg[ATTRMAP[key2]] = data[index][key2]
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del data[index][key2]
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if "ts" in msg:
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old_time = data[index]["ts"]
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# '08/30/22(Tue)02:25:37'
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time_spl = old_time.split(":")
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if len(time_spl) == 3:
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old_ts = datetime.strptime(old_time, "%m/%d/%y(%a)%H:%M:%S")
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else:
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old_ts = datetime.strptime(old_time, "%m/%d/%y(%a)%H:%M")
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# new_ts = old_ts.isoformat()
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new_ts = int(old_ts.timestamp())
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data[index]["ts"] = new_ts
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if "msg" in msg:
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soup = BeautifulSoup(data[index]["msg"], "html.parser")
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msg = soup.get_text(separator="\n")
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data[index]["msg"] = msg
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