Begin implementing RTS

db.py

@@ -1,18 +1,22 @@
+import asyncio
 from math import ceil
+from os import getenv
+from time import sleep
 
+import aiomysql
 import aioredis
 import manticoresearch
+import msgpack
 import orjson
 from manticoresearch.rest import ApiException
 from numpy import array_split
 from redis import StrictRedis
-import msgpack
-import asyncio
 
 import util
 from schemas import mc_s
-from os import getenv
+
-from time import sleep
+mysql_pool = None
+
 
 configuration = manticoresearch.Configuration(host="http://127.0.0.1:9308")
 api_client = manticoresearch.ApiClient(configuration)
@@ -25,23 +29,24 @@ log = util.get_logger("db")
 r = StrictRedis(
     host="127.0.0.1",  # Replace with your Redis server's IP address
     port=1289,  # Replace with your Redis server's port
-    db=0               # Database number
+    db=0,  # Database number
 )
 # AIORedis
 # ar = aioredis.from_url("unix:///var/run/redis/redis.sock", db=0)
-ar = aioredis.from_url(
+ar = aioredis.from_url("redis://127.0.0.1:1289", db=0)
-    "redis://127.0.0.1:1289",
-    db=0
-)
 
 # /var/run/neptune-redis.sock
 # db = 10
 pr = aioredis.from_url("unix://var/run/neptune-redis.sock", db=10)
+# fr = aioredis.from_url("unix://var/run/fisk-redis.sock", db=10)
+fr = aioredis.from_url("unix://var/run/redis.sock", db=10)
 # pr = aioredis.from_url("redis://redis_neptune:6379", db=10, password=getenv("REDIS_PASSWORD"))
 
 KEYNAME = "queue"
 MESSAGE_KEY = "messages"
 
+OHLC_MESSAGE_KEY = "ohlc"
+
 
 TYPES_MAIN = [
     "msg",
@@ -60,50 +65,68 @@ TYPES_META = ["who"]
 TYPES_INT = ["conn", "highlight", "znc", "query", "self"]
 
 
-# def store_message(msg):
+async def init_mysql_pool():
-#     """
+    """
-#     Store a message into Manticore
+    Initialize the MySQL connection pool.
-#     :param msg: dict
+    """
-#     """
+    global mysql_pool
-#     # Duplicated to avoid extra function call
+    mysql_pool = await aiomysql.create_pool(
-#     if msg["type"] in TYPES_MAIN:
+        host="127.0.0.1", port=9306, db="Manticore", minsize=1, maxsize=10
-#         index = "main"
+    )
-#         schema = mc_s.schema_main
-#     elif msg["type"] in TYPES_META:
-#         index = "meta"
-#         schema = mc_s.schema_meta
-#     elif msg["type"] in TYPES_INT:
-#         index = "internal"
-#         schema = mc_s.schema_int
-#     # normalise fields
-#     for key, value in list(msg.items()):
-#         if value is None:
-#             del msg[key]
-#         if key in schema:
-#             if isinstance(value, int):
-#                 if schema[key].startswith("string") or schema[key].startswith("text"):
-#                     msg[key] = str(value)
 
-#     body = [{"insert": {"index": index, "doc": msg}}]
-#     body_post = ""
-#     for item in body:
-#         body_post += orjson.dumps(item)
-#         body_post += "\n"
 
-#     # print(body_post)
+async def rts_store_message(index, data):
-#     try:
+    """
-#         # Bulk index operations
+    Store a RTS message into MySQL using an existing connection pool.
-#         api_response = api_instance.bulk(body_post)  # , async_req=True
+    Prioritizes instant PubSub delivery, with minimal data storage overhead.
-#         # print(api_response)
+    :param index: str
-#     except ApiException as e:
+    :param data: dict
-#         print("Exception when calling IndexApi->bulk: %s\n" % e)
+    """
-#         print("ATTEMPT", body_post)
+    # Publish to Redis PubSub
+    packed_index = msgpack.packb({"index": index, "data": data}, use_bin_type=True)
+
+    try:
+        await fr.publish(OHLC_MESSAGE_KEY, packed_index)
+    except aioredis.exceptions.ConnectionError as e:
+        raise e
+        await asyncio.sleep(0.1)
+
+    # Insert data into MySQL
+    try:
+        async with mysql_pool.acquire() as conn:
+            async with conn.cursor() as cur:
+                # Insert data into the table
+                query = f"""
+                    INSERT INTO {index} (s, o, c, h, l, v, a, i, t, t2, ts)
+                    VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
+                """
+                # Bind the values directly
+                await cur.execute(
+                    query,
+                    (
+                        data["s"],  # symbol
+                        data["o"],  # open
+                        data["c"],  # close
+                        data["h"],  # high
+                        data["l"],  # low
+                        data["v"],  # volume_base
+                        data["a"],  # volume_quote
+                        data["i"],  # interval
+                        data["t"],  # start_time
+                        data["t2"],  # end_time
+                        data["ts"],  # event_time
+                    ),
+                )
+                await conn.commit()
+                log.debug(f"Stored data for {data['s']} in MySQL.")
+    except aiomysql.Error as e:
+        log.error(f"MySQL error: {e}")
 
 
 async def store_batch(data):
     """
     Store a message into Manticore
-    :param msg: dict
+    :param data: list
     """
     if not data:
         return
@@ -167,7 +190,6 @@ async def store_batch(data):
 
         # print("BODY POST INDEX", index, body_post)
 
-
         try:
             # Bulk index operations
             api_response = api_instance.bulk(body_post)  # , async_req=True
@@ -186,6 +208,7 @@ def create_index(api_client):
     util_instance = manticoresearch.UtilsApi(api_client)
     schemas = {
         "main": mc_s.schema_main,
+        "rule_storage": mc_s.schema_rule_storage,
         "meta": mc_s.schema_meta,
         "internal": mc_s.schema_int,
     }
@@ -216,14 +239,3 @@ async def queue_message_bulk(data):
         # TODO: msgpack
         message = orjson.dumps(msg)
         await ar.lpush(KEYNAME, message)
-
-
-created = False
-while not created:
-    try:
-        create_index(api_client)
-        created = True
-    except Exception as e:
-        print(f"Error creating index: {e}")
-        sleep(1) # Block the thread, just wait for the DB
-update_schema()

docker-compose.prod.yml

@@ -14,6 +14,8 @@ services:
     environment: 
       PORTAINER_GIT_DIR: "${PORTAINER_GIT_DIR}"
       MODULES_ENABLED: "${MODULES_ENABLED}"
+      MONOLITH_RTS_MEXC_API_ACCESS_KEY: "${MONOLITH_RTS_MEXC_API_ACCESS_KEY}"
+      MONOLITH_RTS_MEXC_API_SECRET_KEY: "${MONOLITH_RTS_MEXC_API_SECRET_KEY}"
     deploy:
       resources:
         limits:
@@ -83,64 +85,61 @@ services:
     network_mode: host
 
 
-  # threshold:
+  threshold:
-  #   image: xf/threshold:latest
+    image: xf/threshold:latest
-  #   container_name: threshold
+    container_name: threshold
-  #   build: legacy/docker
+    build: legacy/docker
-  #   volumes:
+    volumes:
-  #     - ${PORTAINER_GIT_DIR}:/code
+      - ${PORTAINER_GIT_DIR}:/code
-  #     - ${THRESHOLD_CONFIG_DIR}:/code/legacy/conf/live
+      - ${THRESHOLD_CONFIG_DIR}:/code/legacy/conf/live
-  #     #- ${THRESHOLD_TEMPLATE_DIR}:/code/conf/templates
+      #- ${THRESHOLD_TEMPLATE_DIR}:/code/conf/templates
-  #     - ${THRESHOLD_CERT_DIR}:/code/legacy/conf/cert
+      - ${THRESHOLD_CERT_DIR}:/code/legacy/conf/cert
-  #   volumes_from:
+    volumes_from:
-  #     - tmp
+      - tmp
-  #   ports:
+    ports:
-  #     - "${THRESHOLD_LISTENER_PORT}:${THRESHOLD_LISTENER_PORT}"
+      - "${THRESHOLD_LISTENER_PORT}:${THRESHOLD_LISTENER_PORT}"
-  #     - "${THRESHOLD_RELAY_PORT}:${THRESHOLD_RELAY_PORT}"
+      - "${THRESHOLD_RELAY_PORT}:${THRESHOLD_RELAY_PORT}"
-  #     - "${THRESHOLD_API_PORT}:${THRESHOLD_API_PORT}"
+      - "${THRESHOLD_API_PORT}:${THRESHOLD_API_PORT}"
-    # environment: 
+    environment: 
-    #   PORTAINER_GIT_DIR: "${PORTAINER_GIT_DIR}"
+      PORTAINER_GIT_DIR: "${PORTAINER_GIT_DIR}"
-    #   MODULES_ENABLED: "${MODULES_ENABLED}"
+      MODULES_ENABLED: "${MODULES_ENABLED}"
-    #   DISCORD_TOKEN: "${DISCORD_TOKEN}"
+      DISCORD_TOKEN: "${DISCORD_TOKEN}"
-    #   THRESHOLD_LISTENER_HOST: "${THRESHOLD_LISTENER_HOST}"
+      THRESHOLD_LISTENER_HOST: "${THRESHOLD_LISTENER_HOST}"
-    #   THRESHOLD_LISTENER_PORT: "${THRESHOLD_LISTENER_PORT}"
+      THRESHOLD_LISTENER_PORT: "${THRESHOLD_LISTENER_PORT}"
-    #   THRESHOLD_LISTENER_SSL: "${THRESHOLD_LISTENER_SSL}"
+      THRESHOLD_LISTENER_SSL: "${THRESHOLD_LISTENER_SSL}"
-    #   THRESHOLD_RELAY_ENABLED: "${THRESHOLD_RELAY_ENABLED}"
+      THRESHOLD_RELAY_ENABLED: "${THRESHOLD_RELAY_ENABLED}"
-    #   THRESHOLD_RELAY_HOST: "${THRESHOLD_RELAY_HOST}"
+      THRESHOLD_RELAY_HOST: "${THRESHOLD_RELAY_HOST}"
-    #   THRESHOLD_RELAY_PORT: "${THRESHOLD_RELAY_PORT}"
+      THRESHOLD_RELAY_PORT: "${THRESHOLD_RELAY_PORT}"
-    #   THRESHOLD_RELAY_SSL: "${THRESHOLD_RELAY_SSL}"
+      THRESHOLD_RELAY_SSL: "${THRESHOLD_RELAY_SSL}"
-    #   THRESHOLD_API_ENABLED: "${THRESHOLD_API_ENABLED}"
+      THRESHOLD_API_ENABLED: "${THRESHOLD_API_ENABLED}"
-    #   THRESHOLD_API_HOST: "${THRESHOLD_API_HOST}"
+      THRESHOLD_API_HOST: "${THRESHOLD_API_HOST}"
-    #   THRESHOLD_API_PORT: "${THRESHOLD_API_PORT}"
+      THRESHOLD_API_PORT: "${THRESHOLD_API_PORT}"
-    #   THRESHOLD_CONFIG_DIR: "${THRESHOLD_CONFIG_DIR}"
+      THRESHOLD_CONFIG_DIR: "${THRESHOLD_CONFIG_DIR}"
-    #   #THRESHOLD_TEMPLATE_DIR: "${#THRESHOLD_TEMPLATE_DIR}"
+      #THRESHOLD_TEMPLATE_DIR: "${#THRESHOLD_TEMPLATE_DIR}"
-    #   THRESHOLD_CERT_DIR: "${THRESHOLD_CERT_DIR}"
+      THRESHOLD_CERT_DIR: "${THRESHOLD_CERT_DIR}"
-    #   # How many messages to ingest at once from Redis
+      # How many messages to ingest at once from Redis
-    #   MONOLITH_INGEST_CHUNK_SIZE: "${MONOLITH_INGEST_CHUNK_SIZE}"
+      MONOLITH_INGEST_CHUNK_SIZE: "${MONOLITH_INGEST_CHUNK_SIZE}"
-    #   # Time to wait between polling Redis again
+      # Time to wait between polling Redis again
-    #   MONOLITH_INGEST_ITER_DELAY: "${MONOLITH_INGEST_ITER_DELAY}"
+      MONOLITH_INGEST_ITER_DELAY: "${MONOLITH_INGEST_ITER_DELAY}"
-    #   # Number of 4chan threads to request at once
+      # Number of 4chan threads to request at once
-    #   MONOLITH_CH4_THREADS_CONCURRENT: "${MONOLITH_CH4_THREADS_CONCURRENT}"
+      MONOLITH_CH4_THREADS_CONCURRENT: "${MONOLITH_CH4_THREADS_CONCURRENT}"
-    #   # Time to wait between every MONOLITH_CH4_THREADS_CONCURRENT threads
+      # Time to wait between every MONOLITH_CH4_THREADS_CONCURRENT threads
-    #   MONOLITH_CH4_THREADS_DELAY: "${MONOLITH_CH4_THREADS_DELAY}"
+      MONOLITH_CH4_THREADS_DELAY: "${MONOLITH_CH4_THREADS_DELAY}"
-    #   # Time to wait after finishing a crawl before starting again
+      # Time to wait after finishing a crawl before starting again
-    #   MONOLITH_CH4_CRAWL_DELAY: "${MONOLITH_CH4_CRAWL_DELAY}"
+      MONOLITH_CH4_CRAWL_DELAY: "${MONOLITH_CH4_CRAWL_DELAY}"
-    #   # Semaphore value
+      # Semaphore value
-    #   MONOLITH_CH4_THREADS_SEMAPHORE: "${MONOLITH_CH4_THREADS_SEMAPHORE}"
+      MONOLITH_CH4_THREADS_SEMAPHORE: "${MONOLITH_CH4_THREADS_SEMAPHORE}"
-    #   # Threads to use for data processing
+      # Threads to use for data processing
-    #   # Leave uncommented to use all available threads
+      # Leave uncommented to use all available threads
-    #   MONOLITH_PROCESS_THREADS: "${MONOLITH_PROCESS_THREADS}"
+      MONOLITH_PROCESS_THREADS: "${MONOLITH_PROCESS_THREADS}"
-    #   # Enable performance metrics after message processing
+      # Enable performance metrics after message processing
-    #   MONOLITH_PROCESS_PERFSTATS: "${MONOLITH_PROCESS_PERFSTATS}"
+      MONOLITH_PROCESS_PERFSTATS: "${MONOLITH_PROCESS_PERFSTATS}"
-    #   MONOLITH_CH4_BOARDS: "${MONOLITH_CH4_BOARDS}"
+      MONOLITH_CH4_BOARDS: "${MONOLITH_CH4_BOARDS}"
-    #   REDIS_PASSWORD: "${REDIS_PASSWORD}"
+      REDIS_PASSWORD: "${REDIS_PASSWORD}"
-  #   # for development
+    # for development
-  #   extra_hosts:
+    extra_hosts:
-  #     - "host.docker.internal:host-gateway"
+      - "host.docker.internal:host-gateway"
-  #   networks:
+    network_mode: host
-  #     - default
-  #     - xf
-  #     - db
 
   ssdb:
     image: tsl0922/ssdb

monolith.py

@@ -1,8 +1,10 @@
 import asyncio
 from os import getenv
+from time import sleep
 
 import uvloop
 
+import db
 import util
 from sources.ch4 import Chan4
 from sources.dis import DiscordClient
@@ -34,6 +36,17 @@ async def main(loop):
         loop.create_task(chan.run())
 
 
+created = False
+while not created:
+    try:
+        db.create_index(db.api_client)
+        created = True
+    except Exception as e:
+        print(f"Error creating index: {e}")
+        sleep(1)  # Block the thread, just wait for the DB
+db.update_schema()
+
+
 loop = asyncio.get_event_loop()
 loop.create_task(main(loop))
 

perf/throttle.py

@@ -1,10 +1,12 @@
-import psutil
 import asyncio
 import time
+
+import psutil
+
 import util
 
-class DynamicThrottle(object):
 
+class DynamicThrottle(object):
     def __init__(self, **kwargs):
         self.target_cpu_usage = kwargs.get("target_cpu_usage", 50)
         self.sleep_interval = 0.0
@@ -22,13 +24,14 @@ class DynamicThrottle(object):
         self.consecutive_increments = 0
         self.consecutive_decrements = 0
 
-        self.last_was_increment = False
+        self.consecutive_divisor = kwargs.get("consecutive_divisor", 1)
 
-        if kwargs.get("async"):
+        self.last_was_increment = kwargs.get("start_increment", True)
-            self.dynamic_throttle = self.dynamic_throttle_async
+
+        if kwargs.get("use_async"):
+            self.wait = self.dynamic_throttle_async
         else:
-            self.dynamic_throttle = self.dynamic_throttle
+            self.wait = self.dynamic_throttle
-
 
     async def dynamic_throttle_async(self):
         """
@@ -37,22 +40,48 @@ class DynamicThrottle(object):
         current_cpu_usage = psutil.cpu_percent(interval=self.psutil_interval)
 
         if current_cpu_usage > self.target_cpu_usage:
-            self.sleep_interval += self.sleep_increment
+            if self.last_was_increment:
+                self.consecutive_increments += 1
+                # self.log.debug(f"High CPU consecutive increments: {self.consecutive_increments}")
+            else:
+                self.consecutive_increments = 0  # ?
+                self.consecutive_decrements = 0  # ?
+                # self.log.debug(f"High CPU alert reset.")
+            self.sleep_interval += self.sleep_increment * (
+                max(1, self.consecutive_increments) / self.consecutive_divisor
+            )
+            self.last_was_increment = True
             if self.sleep_interval > self.sleep_max:
                 self.sleep_interval = self.sleep_max
-            self.log.info(
+                # self.log.debug(f"High CPU, but not increasing above {self.sleep_max:.3f}s")
-                f"CPU {current_cpu_usage}% > {self.target_cpu_usage}%, "
+            # self.log.debug(
-                f"=> sleep {self.sleep_interval:.3f}s"
+            #     f"High CPU: {current_cpu_usage}% > {self.target_cpu_usage}%, "
-            )
+            #     f"=> sleep {self.sleep_interval:.3f}s"
-        elif current_cpu_usage < self.target_cpu_usage and self.sleep_interval > self.sleep_min:
+            # )
-            self.sleep_interval -= self.sleep_decrement
+        elif current_cpu_usage < self.target_cpu_usage:
-            self.log.info(
+            if not self.last_was_increment:
-                f"CPU {current_cpu_usage}% < {self.target_cpu_usage}%, "
+                self.consecutive_decrements += 1
-                f"=> sleep {self.sleep_interval:.3f}s"
+                # self.log.debug(f"Low CPU consecutive decrements: {self.consecutive_decrements}")
+            else:
+                self.consecutive_decrements = 0  # ?
+                self.consecutive_increments = 0  # ?
+                # self.log.debug(f"Low CPU alert reset.")
+            self.sleep_interval -= self.sleep_decrement * (
+                max(1, self.consecutive_decrements) / self.consecutive_divisor
             )
+            self.last_was_increment = False
+            if self.sleep_interval < self.sleep_min:
+                self.sleep_interval = self.sleep_min
+                # self.log.debug(f"Low CPU, but not decreasing below {self.sleep_min:.3f}s")
+            # self.log.debug(
+            #     f"Low CPU: {current_cpu_usage}% < {self.target_cpu_usage}%, "
+            #     f"=> sleep {self.sleep_interval:.3f}s"
+            # )
 
         if self.sleep_interval > 0:
             await asyncio.sleep(self.sleep_interval)
+            return self.sleep_interval
+        return 0.0
 
     def dynamic_throttle(self):
         """
@@ -61,19 +90,45 @@ class DynamicThrottle(object):
         current_cpu_usage = psutil.cpu_percent(interval=self.psutil_interval)
 
         if current_cpu_usage > self.target_cpu_usage:
-            self.sleep_interval += self.sleep_increment
+            if self.last_was_increment:
+                self.consecutive_increments += 1
+                # self.log.debug(f"High CPU consecutive increments: {self.consecutive_increments}")
+            else:
+                self.consecutive_increments = 0  # ?
+                self.consecutive_decrements = 0  # ?
+                # self.log.debug(f"High CPU alert reset.")
+            self.sleep_interval += self.sleep_increment * (
+                max(1, self.consecutive_increments) / self.consecutive_divisor
+            )
+            self.last_was_increment = True
             if self.sleep_interval > self.sleep_max:
                 self.sleep_interval = self.sleep_max
-            self.log.info(
+                # self.log.debug(f"High CPU, but not increasing above {self.sleep_max:.3f}s")
-                f"CPU {current_cpu_usage}% > {self.target_cpu_usage}%, "
+            # self.log.debug(
-                f"=> sleep {self.sleep_interval:.3f}s"
+            #     f"High CPU: {current_cpu_usage}% > {self.target_cpu_usage}%, "
-            )
+            #     f"=> sleep {self.sleep_interval:.3f}s"
-        elif current_cpu_usage < self.target_cpu_usage and self.sleep_interval > self.sleep_min:
+            # )
-            self.sleep_interval -= self.sleep_decrement
+        elif current_cpu_usage < self.target_cpu_usage:
-            self.log.info(
+            if not self.last_was_increment:
-                f"CPU {current_cpu_usage}% < {self.target_cpu_usage}%, "
+                self.consecutive_decrements += 1
-                f"=> sleep {self.sleep_interval:.3f}s"
+                # self.log.debug(f"Low CPU consecutive decrements: {self.consecutive_decrements}")
+            else:
+                self.consecutive_decrements = 0  # ?
+                self.consecutive_increments = 0  # ?
+                # self.log.debug(f"Low CPU alert reset.")
+            self.sleep_interval -= self.sleep_decrement * (
+                max(1, self.consecutive_decrements) / self.consecutive_divisor
             )
+            self.last_was_increment = False
+            if self.sleep_interval < self.sleep_min:
+                self.sleep_interval = self.sleep_min
+                # self.log.debug(f"Low CPU, but not decreasing below {self.sleep_min:.3f}s")
+            # self.log.debug(
+            #     f"Low CPU: {current_cpu_usage}% < {self.target_cpu_usage}%, "
+            #     f"=> sleep {self.sleep_interval:.3f}s"
+            # )
 
         if self.sleep_interval > 0:
             time.sleep(self.sleep_interval)
+            return self.sleep_interval
+        return 0.0

processing/ohlc.py

@@ -0,0 +1 @@
+# Resample 1Min into 5Min, 15Min, 30Min, 1H, 4H, 1D, 1W, 1M, 1Y

processing/process.py

@@ -8,9 +8,6 @@ import string
 # For timing
 import time
 
-# For throttling
-import psutil
-
 # Squash errors
 import warnings
 from concurrent.futures import ProcessPoolExecutor
@@ -50,6 +47,9 @@ from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
 import db
 import util
 
+# For throttling
+from perf.throttle import DynamicThrottle
+
 # 4chan schema
 from schemas.ch4_s import ATTRMAP
 
@@ -62,8 +62,6 @@ MONOLITH_PROCESS_PERFSTATS = (
 )
 TARGET_CPU_USAGE = float(os.getenv("MONOLITH_PROCESS_TARGET_CPU_USAGE", 50.0))
 
-SLEEP_INTERVAL = 0.0
-
 CUSTOM_FILTERS = [
     lambda x: x.lower(),
     strip_tags,  #
@@ -94,6 +92,19 @@ CPU_THREADS = int(os.getenv("MONOLITH_PROCESS_THREADS", os.cpu_count()))
 
 p = ProcessPoolExecutor(CPU_THREADS)
 
+throttle = DynamicThrottle(
+    target_cpu_usage=TARGET_CPU_USAGE,
+    sleep_increment=0.02,
+    sleep_decrement=0.01,
+    sleep_max=0.5,
+    sleep_min=0,
+    psutil_interval=0.1,
+    consecutive_divisor=2,
+    log=log,
+    start_increment=True,
+    use_async=False,
+)
+
 
 def get_hash_key():
     hash_key = db.r.get("hashing_key")
@@ -136,7 +147,7 @@ async def spawn_processing_threads(chunk, length):
     # Join the results back from the split list
     flat_list = [item for sublist in results for item in sublist]
     total_messages = len(flat_list)
-    log.debug(
+    log.info(
         (
             f"[{chunk}/{index}] Results from processing of {length} messages in "
             f"{cores} threads: {len(flat_list)}"
@@ -149,7 +160,6 @@ async def spawn_processing_threads(chunk, length):
 
 
 def process_data(chunk, index, chunk_size):
-    global SLEEP_INTERVAL
     log.debug(f"[{chunk}/{index}] Processing {chunk_size} messages")
     to_store = []
 
@@ -159,7 +169,6 @@ def process_data(chunk, index, chunk_size):
     date_time = 0.0
     nlp_time = 0.0
     normalise_time = 0.0
-    hash_time = 0.0
     normal2_time = 0.0
     soup_time = 0.0
     sleep_time = 0.0
@@ -170,11 +179,28 @@ def process_data(chunk, index, chunk_size):
     analyzer = SentimentIntensityAnalyzer()
 
     for msg_index in range(chunk_size):
+        # Print percentage of msg_index relative to chunk_size
+        if msg_index % 10 == 0:
+            percentage_done = (msg_index / chunk_size) * 100
+            log.debug(
+                f"[{chunk}/{index}] {percentage_done:.2f}% done ({msg_index}/{chunk_size})"
+            )
+
         msg = db.r.rpop(KEYNAME)
         if not msg:
             return
-        # TODO: msgpack
         msg = orjson.loads(msg)
+        if msg["src"] == "4ch":
+            board = msg["net"]
+            thread = msg["channel"]
+            redis_key = (
+                f"cache.{board}.{thread}.{msg['no']}.{msg['resto']}.{msg['now']}"
+            )
+            key_content = db.r.get(redis_key)
+            if key_content is not None:
+                continue
+        db.r.set(redis_key, "1")
+
         total_start = time.process_time()
         # normalise fields
         start = time.process_time()
@@ -200,29 +226,6 @@ def process_data(chunk, index, chunk_size):
             board = msg["net"]
             thread = msg["channel"]
 
-            # Calculate hash for post
-            start = time.process_time()
-            post_normalised = orjson.dumps(msg, option=orjson.OPT_SORT_KEYS)
-            hash = siphash(hash_key, post_normalised)
-            hash = str(hash)
-            redis_key = (
-                f"cache.{board}.{thread}.{msg['no']}.{msg['resto']}.{msg['now']}"
-            )
-            key_content = db.r.get(redis_key)
-            if key_content is not None:
-                key_content = key_content.decode("ascii")
-                if key_content == hash:
-                    # This deletes the message since the append at the end won't be hit
-                    continue
-                    # pass
-                else:
-                    # msg["type"] = "update"
-                    # Fuck it, updates just brew spam
-                    continue
-            db.r.set(redis_key, hash)
-            time_took = (time.process_time() - start) * 1000
-            hash_time += time_took
-
             start = time.process_time()
             for key2, value in list(msg.items()):
                 if key2 in ATTRMAP:
@@ -240,9 +243,10 @@ def process_data(chunk, index, chunk_size):
                     old_ts = datetime.strptime(old_time, "%m/%d/%y(%a)%H:%M:%S")
                 else:
                     old_ts = datetime.strptime(old_time, "%m/%d/%y(%a)%H:%M")
-                # new_ts = old_ts.isoformat()
+                # iso_ts = old_ts.isoformat()
                 new_ts = int(old_ts.timestamp())
                 msg["ts"] = new_ts
+                # msg["iso"] = iso_ts
             else:
                 raise Exception("No TS in msg")
             time_took = (time.process_time() - start) * 1000
@@ -302,39 +306,22 @@ def process_data(chunk, index, chunk_size):
 
         # Dynamic throttling to reduce CPU usage
         if msg_index % 5 == 0:
-            current_cpu_usage = psutil.cpu_percent(interval=0.2)
+            sleep_time += throttle.wait()
-            if current_cpu_usage > TARGET_CPU_USAGE:
-                SLEEP_INTERVAL += 0.02
-                if SLEEP_INTERVAL > 0.5:
-                    SLEEP_INTERVAL = 0.5
-                log.info(
-                    f"CPU {current_cpu_usage}% > {TARGET_CPU_USAGE}%, "
-                    f"=> sleep {SLEEP_INTERVAL:.3f}s"
-                )
-            elif current_cpu_usage < TARGET_CPU_USAGE and SLEEP_INTERVAL > 0.01:
-                SLEEP_INTERVAL -= 0.01
-                log.info(
-                    f"CPU {current_cpu_usage}% < {TARGET_CPU_USAGE}%, "
-                    f"=> sleep {SLEEP_INTERVAL:.3f}s"
-                )
-            time.sleep(SLEEP_INTERVAL)
-            sleep_time += SLEEP_INTERVAL
 
     if MONOLITH_PROCESS_PERFSTATS:
-        log.debug("=====================================")
+        log.info("=====================================")
-        log.debug(f"Chunk: {chunk}")
+        log.info(f"Chunk: {chunk}")
-        log.debug(f"Index: {index}")
+        log.info(f"Index: {index}")
-        log.debug(f"Sentiment: {sentiment_time}")
+        log.info(f"Sentiment: {sentiment_time}")
-        log.debug(f"Regex: {regex_time}")
+        log.info(f"Regex: {regex_time}")
-        log.debug(f"Polyglot: {polyglot_time}")
+        log.info(f"Polyglot: {polyglot_time}")
-        log.debug(f"Date: {date_time}")
+        log.info(f"Date: {date_time}")
-        log.debug(f"NLP: {nlp_time}")
+        log.info(f"NLP: {nlp_time}")
-        log.debug(f"Normalise: {normalise_time}")
+        log.info(f"Normalise: {normalise_time}")
-        log.debug(f"Hash: {hash_time}")
+        log.info(f"Normal2: {normal2_time}")
-        log.debug(f"Normal2: {normal2_time}")
+        log.info(f"Soup: {soup_time}")
-        log.debug(f"Soup: {soup_time}")
+        log.info(f"Total: {total_time}")
-        log.debug(f"Total: {total_time}")
+        log.info(f"Throttling: {sleep_time}")
-        log.debug(f"Throttling: {sleep_time}")
+        log.info("=====================================")
-        log.debug("=====================================")
 
     return to_store

requirements.txt

@@ -24,3 +24,6 @@ elasticsearch[async]
 msgpack
 # flpc
 psutil
+pymexc
+websockets
+aiomysql

rts.py

@@ -1,31 +1,186 @@
 import asyncio
+import logging
 from os import getenv
 
-import uvloop
+import orjson
+import websockets
 
-import util
+import db
 
-# Use UVLoop
+# Logger setup
-asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
+logging.basicConfig(level=logging.INFO)
+log = logging.getLogger("RTS")
 
-log = util.get_logger("rts")
+# Environment variables
+MONOLITH_RTS_MEXC_API_ACCESS_KEY = getenv("MONOLITH_RTS_MEXC_API_ACCESS_KEY", None)
+MONOLITH_RTS_MEXC_API_SECRET_KEY = getenv("MONOLITH_RTS_MEXC_API_SECRET_KEY", None)
 
-modules_enabled = getenv("MODULES_ENABLED", False)
+# WebSocket endpoint
-if "rts" not in modules_enabled:
+MEXC_WS_URL = "wss://wbs.mexc.com/ws"
-    log.info("RTS disabled.")
+
-    exit(0)
+{
+    "d": {
+        "e": "spot@public.kline.v3.api",
+        "k": {
+            "t": 1737901140,  # TS
+            "o": "684.4",  # Open
+            "c": "684.5",  # Close
+            "h": "684.5",  # High
+            "l": "684.4",  # Low
+            "v": "0.173",  # Volume of the base
+            "a": "118.41",  # Volume of the quote (Quantity)
+            "T": 1737901200,  # ?
+            "i": "Min1",  # ?
+        },
+    },
+    "c": "spot@public.kline.v3.api@BNBUSDT@Min1",  # Channel
+    "t": 1737901159239,
+    "s": "BNBUSDT",  # Symbol
+}
+
+# Scan DB for last endtime (T)
+# Request Kline data from last endtime (T) to now
 
 
-async def main(loop):
+# Check Server Time
-    log.info("RTS started.")
+
+#     Response
+
+# {
+#     "serverTime" : 1645539742000
+# }
+
+#     GET /api/v3/time
+
+# Weight(IP): 1
+
+# Parameter:
+
+# NONE
+
+# Kline/Candlestick Data
+
+#     Response
+
+# [
+#   [
+#     1640804880000,
+#     "47482.36",
+#     "47482.36",
+#     "47416.57",
+#     "47436.1",
+#     "3.550717",
+#     1640804940000,
+#     "168387.3"
+#   ]
+# ]
+
+#     GET /api/v3/klines
+
+# Weight(IP): 1
+
+# Kline/candlestick bars for a symbol. Klines are uniquely identified by their open time.
+
+# Parameters:
+# Name 	Type 	Mandatory 	Description
+# symbol 	string 	YES
+# interval 	ENUM 	YES 	ENUM: Kline Interval
+# startTime 	long 	NO
+# endTime 	long 	NO
+# limit 	integer 	NO 	Default 500; max 1000.
+
+# Scrub function:
+# For each record, ensure there are no time gaps
+# When the 1m window goes over, the next t is always the last T.
+# Check for gaps, and request all klines between those gaps to ensure a full DB, even with restarts.
 
 
-loop = asyncio.get_event_loop()
+# Idle jitter function - compare our time with server time.
-loop.create_task(main(loop))
+# Compare ts with our time and print jitter. Add jitter warning to log and OHLC.
+# High jitter may prevent us from getting the correct data for trading.
+async def mex_handle(data):
+    message = orjson.loads(data)
+    # print(orjson.dumps(message, option=orjson.OPT_INDENT_2).decode("utf-8"))
+    if "code" in message:
+        if message["code"] == 0:
+            log.info("Control message received")
+            return
 
+    symbol = message["s"]
+    open = message["d"]["k"]["o"]
+    close = message["d"]["k"]["c"]
+    high = message["d"]["k"]["h"]
+    low = message["d"]["k"]["l"]
+    volume_base = message["d"]["k"]["v"]  # ERROR IN API DOCS
+    volume_quote = message["d"]["k"]["a"]  # > a 	bigDecimal 	volume
+
+    interval = message["d"]["k"]["i"]
+
+    start_time = message["d"]["k"]["t"]  # > t 	long 	stratTime
+    end_time = message["d"]["k"]["T"]  # > T 	long 	endTime
+    event_time = message["t"]  # t 	long 	eventTime
+
+    index = f"mex_ohlc_{symbol.lower()}"
+
+    reformatted = {
+        "s": symbol,
+        "o": float(open),
+        "c": float(close),
+        "h": float(high),
+        "l": float(low),
+        "v": float(volume_base),
+        "a": float(volume_quote),
+        "i": interval,
+        "t": int(start_time),
+        "t2": int(end_time),
+        "ts": int(event_time),
+    }
+
+    await db.rts_store_message(index, reformatted)
+    print(index)
+    print(orjson.dumps(reformatted, option=orjson.OPT_INDENT_2).decode("utf-8"))
+    print()
+
+
+# Kline WebSocket handler
+async def mex_main():
+    await db.init_mysql_pool()
+    async with websockets.connect(MEXC_WS_URL) as websocket:
+        log.info("WebSocket connected")
+
+        # Define symbols and intervals
+        symbols = ["BTCUSDT"]  # Add more symbols as needed
+        interval = "Min1"  # Kline interval
+
+        # Prepare subscription requests for Kline streams
+        # Request: spot@public.kline.v3.api@<symbol>@<interval>
+        subscriptions = [
+            f"spot@public.kline.v3.api@{symbol}@{interval}" for symbol in symbols
+        ]
+
+        # Send subscription requests
+        subscribe_request = {
+            "method": "SUBSCRIPTION",
+            "params": subscriptions,
+            # "id": 1,
+        }
+        await websocket.send(orjson.dumps(subscribe_request).decode("utf-8"))
+
+        log.info(f"Subscribed to: {subscriptions}")
+
+        # Listen for messages
+        while True:
             try:
-    loop.run_forever()
+                message = await websocket.recv()
+                await mex_handle(message)
+            except websockets.exceptions.ConnectionClosed as e:
+                log.error(f"WebSocket connection closed: {e}")
+                break
+
+
+# Entry point
+if __name__ == "__main__":
+    try:
+        asyncio.run(mex_main())
     except KeyboardInterrupt:
-    log.info("RTS process terminating")
+        log.info("RTS process terminated.")
-finally:
-    loop.close()

schemas/mc_s.py

@@ -137,9 +137,11 @@ schema_main = {
     "rule_id": "bigint",
     "index": "string indexed attribute",
     "meta": "text",
-    
+    # "iso": "string indexed attribute",
 }
 
+schema_rule_storage = schema_main
+
 schema_meta = {
     "id": "bigint",
     # 393598265, #main, Rust Programmer's Club

sources/ch4.py

@@ -8,10 +8,9 @@ from os import getenv
 import aiohttp
 from numpy import array_split
 
-import psutil
-
 import db
 import util
+from perf.throttle import DynamicThrottle
 
 # CONFIGURATION #
 
@@ -35,6 +34,7 @@ BOARDS = getenv("MONOLITH_CH4_BOARDS", "").split(",")
 
 # CONFIGURATION END #
 
+
 class Chan4(object):
     """
     4chan indexer, crawler and ingester.
@@ -44,7 +44,18 @@ class Chan4(object):
         name = self.__class__.__name__
         self.log = util.get_logger(name)
 
-        self.sleep_interval = 0.0
+        self.throttle = DynamicThrottle(
+            target_cpu_usage=TARGET_CPU_USAGE,
+            sleep_increment=0.01,
+            sleep_decrement=0.01,
+            sleep_max=0.1,
+            sleep_min=0,
+            psutil_interval=0.1,
+            log=self.log,
+            start_increment=False,
+            use_async=True,
+        )
+        self.wait = self.throttle.wait
 
         self.api_endpoint = "https://a.4cdn.org"
         # self.boards = ["out", "g", "a", "3", "pol"] #
@@ -65,33 +76,6 @@ class Chan4(object):
             self.hash_key = self.hash_key.decode("ascii")
             self.log.debug(f"Decoded hash key: {self.hash_key}")
 
-    async def dynamic_throttle(self):
-        """
-        Dynamically sleeps before a request if CPU usage is above our target.
-        Also, if CPU usage is far below the target, reduce the sleep time.
-        Caps the sleep interval at 0.2s.
-        Prints CPU usage and sleep interval like process.py.
-        """
-        current_cpu_usage = psutil.cpu_percent(interval=0.2)
-
-        if current_cpu_usage > TARGET_CPU_USAGE:
-            self.sleep_interval += 0.01
-            if self.sleep_interval > 0.1:
-                self.sleep_interval = 0.1
-            self.log.info(
-                f"CPU {current_cpu_usage}% > {TARGET_CPU_USAGE}%, "
-                f"=> sleep {self.sleep_interval:.3f}s"
-            )
-        elif current_cpu_usage < TARGET_CPU_USAGE and self.sleep_interval > 0.01:
-            self.sleep_interval -= 0.01
-            self.log.info(
-                f"CPU {current_cpu_usage}% < {TARGET_CPU_USAGE}%, "
-                f"=> sleep {self.sleep_interval:.3f}s"
-            )
-
-        if self.sleep_interval > 0:
-            await asyncio.sleep(self.sleep_interval)
-
     async def run(self):
         if "ALL" in BOARDS:
             await self.get_board_list()
@@ -204,7 +188,7 @@ class Chan4(object):
     async def bound_fetch(self, sem, url, session, mapped):
         # Getter function with semaphore.
         async with sem:
-            await self.dynamic_throttle()
+            await self.wait()
             try:
                 return await self.fetch(url, session, mapped)
             except:  # noqa

sources/ingest.py

@@ -21,6 +21,7 @@ log = util.get_logger("ingest")
 INGEST_MAX = int(getenv("MONOLITH_INGEST_MAX", "1000000"))
 INGEST_MIN = int(getenv("MONOLITH_INGEST_MIN", "100"))
 
+
 class Ingest(object):
     def __init__(self):
         name = self.__class__.__name__
@@ -51,7 +52,7 @@ class Ingest(object):
 
         if ingested < INGEST_INCREASE_BELOW:
             if CHUNK_SIZE + INGEST_INCREASE_BY < INGEST_MAX:
-                self.log.info(
+                self.log.debug(
                     (
                         f"Increasing chunk size to "
                         f"{CHUNK_SIZE + INGEST_INCREASE_BY} "
@@ -60,11 +61,13 @@ class Ingest(object):
                 )
                 CHUNK_SIZE += INGEST_INCREASE_BY
             else:
-                log.info(f"Chunk size ({CHUNK_SIZE}) at maximum, not increasing above: {INGEST_MAX}")
+                log.debug(
+                    f"Chunk size ({CHUNK_SIZE}) at maximum, not increasing above: {INGEST_MAX}"
+                )
 
         elif ingested > INGEST_DECREASE_ABOVE:
             if CHUNK_SIZE - INGEST_DECREASE_BY > INGEST_MIN:
-                self.log.info(
+                self.log.debug(
                     (
                         f"Decreasing chunk size to "
                         f"{CHUNK_SIZE - INGEST_DECREASE_BY}"
@@ -73,4 +76,6 @@ class Ingest(object):
                 )
                 CHUNK_SIZE -= INGEST_DECREASE_BY
             else:
-                log.info(f"Chunk size ({CHUNK_SIZE}) at minimum, not decreasing below: {INGEST_MIN}")
+                log.debug(
+                    f"Chunk size ({CHUNK_SIZE}) at minimum, not decreasing below: {INGEST_MIN}"
+                )