Fix merge conflict
This commit is contained in:
commit
dab5e81715
GPG Key ID:
5ACFCEED46C0904F
186
db.py
186
db.py
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@ -1,18 +1,15 @@
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from math import ceil
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import random
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import aioredis
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import manticoresearch
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import ujson
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from manticoresearch.rest import ApiException
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from numpy import array_split
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import orjson
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# Kafka
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from aiokafka import AIOKafkaProducer
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from redis import StrictRedis
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import util
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from schemas import mc_s
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configuration = manticoresearch.Configuration(host="http://monolith-db-1:9308")
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api_client = manticoresearch.ApiClient(configuration)
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api_instance = manticoresearch.IndexApi(api_client)
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# KAFKA_TOPIC = "msg"
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log = util.get_logger("db")
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@ -37,120 +34,77 @@ TYPES_MAIN = [
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]
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TYPES_META = ["who"]
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TYPES_INT = ["conn", "highlight", "znc", "query", "self"]
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KEYPREFIX = "queue."
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def store_message(msg):
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async def store_kafka_batch(data):
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log.debug(f"Storing Kafka batch of {len(data)} messages")
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producer = AIOKafkaProducer(bootstrap_servers="kafka:9092")
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await producer.start()
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batch = producer.create_batch()
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for msg in data:
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if msg["type"] in TYPES_MAIN:
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index = "main"
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# schema = mc_s.schema_main
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elif msg["type"] in TYPES_META:
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index = "meta"
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# schema = mc_s.schema_meta
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elif msg["type"] in TYPES_INT:
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index = "internal"
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# schema = mc_s.schema_int
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KAFKA_TOPIC = index
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# normalise fields
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for key, value in list(msg.items()):
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if value is None:
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del msg[key]
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# if key in schema:
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# if isinstance(value, int):
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# if schema[key].startswith("string") or schema[key].startswith(
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# "text"
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# ):
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# msg[key] = str(value)
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body = orjson.dumps(msg)
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# orjson returns bytes
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# body = str.encode(message)
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if "ts" not in msg:
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raise Exception("No TS in msg")
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metadata = batch.append(key=None, value=body, timestamp=msg["ts"])
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if metadata is None:
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partitions = await producer.partitions_for(KAFKA_TOPIC)
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partition = random.choice(tuple(partitions))
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await producer.send_batch(batch, KAFKA_TOPIC, partition=partition)
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log.debug(f"{batch.record_count()} messages sent to partition {partition}")
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batch = producer.create_batch()
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continue
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partitions = await producer.partitions_for(KAFKA_TOPIC)
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partition = random.choice(tuple(partitions))
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await producer.send_batch(batch, KAFKA_TOPIC, partition=partition)
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log.debug(f"{batch.record_count()} messages sent to partition {partition}")
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await producer.stop()
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async def queue_message(msg):
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"""
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Store a message into Manticore
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:param msg: dict
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Queue a message on the Redis buffer.
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"""
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# Duplicated to avoid extra function call
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if msg["type"] in TYPES_MAIN:
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index = "main"
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schema = mc_s.schema_main
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elif msg["type"] in TYPES_META:
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index = "meta"
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schema = mc_s.schema_meta
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elif msg["type"] in TYPES_INT:
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index = "internal"
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schema = mc_s.schema_int
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# normalise fields
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for key, value in list(msg.items()):
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if value is None:
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del msg[key]
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if key in schema:
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if isinstance(value, int):
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if schema[key].startswith("string") or schema[key].startswith("text"):
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msg[key] = str(value)
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src = msg["src"]
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message = orjson.dumps(msg)
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body = [{"insert": {"index": index, "doc": msg}}]
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body_post = ""
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for item in body:
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body_post += ujson.dumps(item)
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body_post += "\n"
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# print(body_post)
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try:
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# Bulk index operations
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api_response = api_instance.bulk(body_post) # , async_req=True
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# print(api_response)
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except ApiException as e:
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print("Exception when calling IndexApi->bulk: %s\n" % e)
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print("ATTEMPT", body_post)
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key = f"{KEYPREFIX}{src}"
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# log.debug(f"Queueing single message of string length {len(message)}")
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await ar.sadd(key, message)
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def store_message_bulk(data):
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async def queue_message_bulk(data):
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"""
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Store a message into Manticore
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:param msg: dict
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Queue multiple messages on the Redis buffer.
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"""
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if not data:
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return
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# 10000: maximum inserts we can submit to
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# Manticore as of Sept 2022
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split_posts = array_split(data, ceil(len(data) / 10000))
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for messages in split_posts:
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total = []
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for msg in messages:
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# Duplicated to avoid extra function call (see above)
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if msg["type"] in TYPES_MAIN:
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index = "main"
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schema = mc_s.schema_main
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elif msg["type"] in TYPES_META:
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index = "meta"
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schema = mc_s.schema_meta
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elif msg["type"] in TYPES_INT:
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index = "internal"
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schema = mc_s.schema_int
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# normalise fields
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for key, value in list(msg.items()):
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if value is None:
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del msg[key]
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if key in schema:
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if isinstance(value, int):
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if schema[key].startswith("string") or schema[key].startswith(
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"text"
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):
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msg[key] = str(value)
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# log.debug(f"Queueing message batch of length {len(data)}")
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for msg in data:
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src = msg["src"]
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message = orjson.dumps(msg)
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body = {"insert": {"index": index, "doc": msg}}
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total.append(body)
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body_post = ""
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for item in total:
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body_post += ujson.dumps(item)
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body_post += "\n"
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# print(body_post)
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try:
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# Bulk index operations
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api_response = api_instance.bulk(body_post) # , async_req=True
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print(api_response)
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except ApiException as e:
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print("Exception when calling IndexApi->bulk: %s\n" % e)
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print("ATTEMPT", body_post)
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def update_schema():
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pass
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def create_index(api_client):
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util_instance = manticoresearch.UtilsApi(api_client)
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schemas = {
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"main": mc_s.schema_main,
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"meta": mc_s.schema_meta,
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"internal": mc_s.schema_int,
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}
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for name, schema in schemas.items():
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schema_types = ", ".join([f"{k} {v}" for k, v in schema.items()])
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create_query = (
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f"create table if not exists {name}({schema_types}) engine='columnar'"
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)
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print("Schema types", create_query)
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util_instance.sql(create_query)
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create_index(api_client)
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update_schema()
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key = f"{KEYPREFIX}{src}"
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await ar.sadd(key, message)
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@ -1,4 +1,13 @@
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version: "2"
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version: "2.2"
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volumes:
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metadata_data: {}
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middle_var: {}
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historical_var: {}
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broker_var: {}
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coordinator_var: {}
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router_var: {}
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druid_shared: {}
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services:
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app:
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@ -11,7 +20,15 @@ services:
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volumes_from:
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- tmp
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depends_on:
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- db
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broker:
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condition: service_started
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kafka:
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condition: service_healthy
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tmp:
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condition: service_started
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redis:
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condition: service_healthy
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# - db
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threshold:
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image: pathogen/threshold:latest
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@ -33,34 +50,194 @@ services:
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volumes_from:
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- tmp
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depends_on:
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- tmp
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- redis
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tmp:
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condition: service_started
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redis:
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condition: service_healthy
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db:
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# db:
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#image: pathogen/manticore:kibana
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image: manticoresearch/manticore:latest
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# image: manticoresearch/manticore:latest
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#build:
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# context: ./docker/manticore
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# args:
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# DEV: 1
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restart: always
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# restart: always
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turnilo:
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container_name: turnilo
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image: uchhatre/turnilo:latest
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ports:
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- 9308
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- 9312
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- 9306
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ulimits:
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nproc: 65535
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nofile:
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soft: 65535
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hard: 65535
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memlock:
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soft: -1
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hard: -1
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- 9093:9090
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environment:
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- MCL=1
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- DRUID_BROKER_URL=http://broker:8082
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depends_on:
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- broker
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metabase:
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container_name: metabase
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image: metabase/metabase:latest
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ports:
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- 3001:3000
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depends_on:
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- broker
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postgres:
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container_name: postgres
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image: postgres:latest
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volumes:
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- ./docker/data:/var/lib/manticore
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- ./docker/manticore.conf:/etc/manticoresearch/manticore.conf
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- metadata_data:/var/lib/postgresql/data
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environment:
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- POSTGRES_PASSWORD=FoolishPassword
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- POSTGRES_USER=druid
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- POSTGRES_DB=druid
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# Need 3.5 or later for container nodes
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zookeeper:
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container_name: zookeeper
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image: zookeeper:3.5
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ports:
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- "2181:2181"
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environment:
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- ZOO_MY_ID=1
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kafka:
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image: bitnami/kafka
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depends_on:
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- zookeeper
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- broker
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ports:
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- 29092:29092
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- 9092:9092
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environment:
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KAFKA_BROKER_ID: 1
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KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
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KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:9092
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#KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
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KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
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KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
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ALLOW_PLAINTEXT_LISTENER: yes
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# healthcheck:
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# test: ["CMD-SHELL", "kafka-topics.sh --bootstrap-server 127.0.0.1:9092 --topic main --describe"]
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# interval: 2s
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# timeout: 2s
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# retries: 15
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healthcheck:
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test: ["CMD", "kafka-topics.sh", "--list", "--bootstrap-server", "kafka:9092"]
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start_period: 15s
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interval: 2s
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timeout: 5s
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retries: 30
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coordinator:
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image: apache/druid:0.23.0
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container_name: coordinator
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volumes:
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- druid_shared:/opt/shared
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- coordinator_var:/opt/druid/var
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depends_on:
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- zookeeper
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- postgres
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ports:
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- "8081:8081"
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command:
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- coordinator
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env_file:
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- environment
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broker:
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image: apache/druid:0.23.0
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container_name: broker
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volumes:
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- broker_var:/opt/druid/var
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depends_on:
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- zookeeper
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- postgres
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- coordinator
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ports:
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- "8082:8082"
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command:
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- broker
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env_file:
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- environment
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historical:
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image: apache/druid:0.23.0
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container_name: historical
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volumes:
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- druid_shared:/opt/shared
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- historical_var:/opt/druid/var
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depends_on:
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- zookeeper
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- postgres
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- coordinator
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ports:
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- "8083:8083"
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command:
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- historical
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env_file:
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- environment
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middlemanager:
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image: apache/druid:0.23.0
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container_name: middlemanager
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volumes:
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- druid_shared:/opt/shared
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- middle_var:/opt/druid/var
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depends_on:
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- zookeeper
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- postgres
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- coordinator
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ports:
|
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- "8091:8091"
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- "8100-8105:8100-8105"
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command:
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- middleManager
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env_file:
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- environment
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router:
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image: apache/druid:0.23.0
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container_name: router
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volumes:
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- router_var:/opt/druid/var
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depends_on:
|
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- zookeeper
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- postgres
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- coordinator
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ports:
|
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- "8888:8888"
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command:
|
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- router
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env_file:
|
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- environment
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# db:
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# #image: pathogen/manticore:kibana
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# image: manticoresearch/manticore:dev
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# #build:
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# # context: ./docker/manticore
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# # args:
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# # DEV: 1
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# restart: always
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# ports:
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# - 9308
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# - 9312
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# - 9306
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# ulimits:
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# nproc: 65535
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# nofile:
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# soft: 65535
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# hard: 65535
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# memlock:
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# soft: -1
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# hard: -1
|
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# environment:
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# - MCL=1
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# volumes:
|
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# - ./docker/data:/var/lib/manticore
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# - ./docker/manticore.conf:/etc/manticoresearch/manticore.conf
|
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|
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tmp:
|
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image: busybox
|
||||
|
|
@ -80,6 +257,11 @@ services:
|
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- ${PORTAINER_GIT_DIR}/docker/redis.conf:/etc/redis.conf
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volumes_from:
|
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- tmp
|
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healthcheck:
|
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test: "redis-cli -s /var/run/redis/redis.sock ping"
|
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interval: 2s
|
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timeout: 2s
|
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retries: 15
|
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|
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networks:
|
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default:
|
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|
|
|
|||
|
|
@ -16,7 +16,7 @@ COPY requirements.txt /code/
|
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COPY discord-patched.tgz /code/
|
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|
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RUN python -m venv /venv
|
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RUN . /venv/bin/activate && pip install -r requirements.txt
|
||||
RUN . /venv/bin/activate && pip install -r requirements.txt && python -m spacy download en_core_web_sm
|
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|
||||
RUN tar xf /code/discord-patched.tgz -C /venv/lib/python3.10/site-packages
|
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|
||||
|
|
|
|||
|
|
@ -4,7 +4,18 @@ redis
|
|||
siphashc
|
||||
aiohttp[speedups]
|
||||
python-dotenv
|
||||
manticoresearch
|
||||
#manticoresearch
|
||||
numpy
|
||||
ujson
|
||||
aioredis[hiredis]
|
||||
aiokafka
|
||||
vaderSentiment
|
||||
polyglot
|
||||
pyicu
|
||||
pycld2
|
||||
morfessor
|
||||
six
|
||||
nltk
|
||||
spacy
|
||||
python-Levenshtein
|
||||
orjson
|
||||
|
|
|
|||
|
|
@ -0,0 +1,52 @@
|
|||
#
|
||||
# Licensed to the Apache Software Foundation (ASF) under one
|
||||
# or more contributor license agreements. See the NOTICE file
|
||||
# distributed with this work for additional information
|
||||
# regarding copyright ownership. The ASF licenses this file
|
||||
# to you under the Apache License, Version 2.0 (the
|
||||
# "License"); you may not use this file except in compliance
|
||||
# with the License. You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing,
|
||||
# software distributed under the License is distributed on an
|
||||
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
|
||||
# KIND, either express or implied. See the License for the
|
||||
# specific language governing permissions and limitations
|
||||
# under the License.
|
||||
#
|
||||
|
||||
# Java tuning
|
||||
DRUID_XMX=1g
|
||||
DRUID_XMS=1g
|
||||
DRUID_MAXNEWSIZE=250m
|
||||
DRUID_NEWSIZE=250m
|
||||
DRUID_MAXDIRECTMEMORYSIZE=6172m
|
||||
|
||||
druid_emitter_logging_logLevel=debug
|
||||
|
||||
druid_extensions_loadList=["druid-histogram", "druid-datasketches", "druid-lookups-cached-global", "postgresql-metadata-storage", "druid-kafka-indexing-service"]
|
||||
|
||||
druid_zk_service_host=zookeeper
|
||||
|
||||
druid_metadata_storage_host=
|
||||
druid_metadata_storage_type=postgresql
|
||||
druid_metadata_storage_connector_connectURI=jdbc:postgresql://postgres:5432/druid
|
||||
druid_metadata_storage_connector_user=druid
|
||||
druid_metadata_storage_connector_password=FoolishPassword
|
||||
|
||||
druid_coordinator_balancer_strategy=cachingCost
|
||||
|
||||
druid_indexer_runner_javaOptsArray=["-server", "-Xmx1g", "-Xms1g", "-XX:MaxDirectMemorySize=3g", "-Duser.timezone=UTC", "-Dfile.encoding=UTF-8", "-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager"]
|
||||
druid_indexer_fork_property_druid_processing_buffer_sizeBytes=256MiB
|
||||
|
||||
druid_storage_type=local
|
||||
druid_storage_storageDirectory=/opt/shared/segments
|
||||
druid_indexer_logs_type=file
|
||||
druid_indexer_logs_directory=/opt/shared/indexing-logs
|
||||
|
||||
druid_processing_numThreads=2
|
||||
druid_processing_numMergeBuffers=2
|
||||
|
||||
DRUID_LOG4J=<?xml version="1.0" encoding="UTF-8" ?><Configuration status="WARN"><Appenders><Console name="Console" target="SYSTEM_OUT"><PatternLayout pattern="%d{ISO8601} %p [%t] %c - %m%n"/></Console></Appenders><Loggers><Root level="info"><AppenderRef ref="Console"/></Root><Logger name="org.apache.druid.jetty.RequestLog" additivity="false" level="DEBUG"><AppenderRef ref="Console"/></Logger></Loggers></Configuration>
|
||||
|
|
@ -6,13 +6,6 @@ from sources.ch4 import Chan4
|
|||
from sources.dis import DiscordClient
|
||||
from sources.ingest import Ingest
|
||||
|
||||
# For development
|
||||
# if not getenv("DISCORD_TOKEN", None):
|
||||
# print("Could not get Discord token, attempting load from .env")
|
||||
# from dotenv import load_dotenv
|
||||
|
||||
# load_dotenv()
|
||||
|
||||
log = util.get_logger("monolith")
|
||||
|
||||
modules_enabled = getenv("MODULES_ENABLED", False)
|
||||
|
|
@ -26,7 +19,6 @@ async def main(loop):
|
|||
log.info("Starting Discord handler.")
|
||||
client = DiscordClient()
|
||||
loop.create_task(client.start(token))
|
||||
# client.run(token)
|
||||
|
||||
log.info("Starting 4chan handler.")
|
||||
chan = Chan4()
|
||||
|
|
|
|||
|
|
@ -0,0 +1,202 @@
|
|||
import asyncio
|
||||
import os
|
||||
import random
|
||||
|
||||
# For key generation
|
||||
import string
|
||||
|
||||
# Squash errors
|
||||
import warnings
|
||||
from concurrent.futures import ProcessPoolExecutor
|
||||
|
||||
# For timestamp processing
|
||||
from datetime import datetime
|
||||
from math import ceil
|
||||
|
||||
import orjson
|
||||
|
||||
# Tokenisation
|
||||
import spacy
|
||||
|
||||
# For 4chan message parsing
|
||||
from bs4 import BeautifulSoup
|
||||
from numpy import array_split
|
||||
from polyglot.detect.base import logger as polyglot_logger
|
||||
|
||||
# For NLP
|
||||
from polyglot.text import Text
|
||||
from pycld2 import error as cld2_error
|
||||
from siphashc import siphash
|
||||
|
||||
# For sentiment
|
||||
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
|
||||
|
||||
import db
|
||||
import util
|
||||
|
||||
# 4chan schema
|
||||
from schemas.ch4_s import ATTRMAP
|
||||
|
||||
# For tokenisation
|
||||
# from gensim.parsing.preprocessing import (
|
||||
# strip_tags,
|
||||
# strip_punctuation,
|
||||
# strip_numeric,
|
||||
# stem_text,
|
||||
# strip_multiple_whitespaces,
|
||||
# strip_non_alphanum,
|
||||
# remove_stopwords,
|
||||
# strip_short,
|
||||
# preprocess_string,
|
||||
# )
|
||||
|
||||
# CUSTOM_FILTERS = [
|
||||
# lambda x: x.lower(),
|
||||
# strip_tags, #
|
||||
# strip_punctuation, #
|
||||
# strip_multiple_whitespaces,
|
||||
# strip_numeric,
|
||||
# remove_stopwords,
|
||||
# strip_short,
|
||||
# #stem_text,
|
||||
# strip_non_alphanum, #
|
||||
# ]
|
||||
|
||||
# Squash errors
|
||||
polyglot_logger.setLevel("ERROR")
|
||||
warnings.filterwarnings("ignore", category=UserWarning, module="bs4")
|
||||
|
||||
|
||||
TAGS = ["NOUN", "ADJ", "VERB", "ADV"]
|
||||
nlp = spacy.load("en_core_web_sm", disable=["parser", "ner"])
|
||||
|
||||
|
||||
log = util.get_logger("process")
|
||||
|
||||
# Maximum number of CPU threads to use for post processing
|
||||
CPU_THREADS = os.cpu_count()
|
||||
|
||||
p = ProcessPoolExecutor(CPU_THREADS)
|
||||
|
||||
|
||||
def get_hash_key():
|
||||
hash_key = db.r.get("hashing_key")
|
||||
if not hash_key:
|
||||
letters = string.ascii_lowercase
|
||||
hash_key = "".join(random.choice(letters) for i in range(16))
|
||||
log.debug(f"Created new hash key: {hash_key}")
|
||||
db.r.set("hashing_key", hash_key)
|
||||
else:
|
||||
hash_key = hash_key.decode("ascii")
|
||||
log.debug(f"Decoded hash key: {hash_key}")
|
||||
return hash_key
|
||||
|
||||
|
||||
hash_key = get_hash_key()
|
||||
|
||||
|
||||
@asyncio.coroutine
|
||||
async def spawn_processing_threads(data):
|
||||
len_data = len(data)
|
||||
log.debug(f"Spawning processing threads for batch of {len_data} messages")
|
||||
|
||||
loop = asyncio.get_event_loop()
|
||||
tasks = []
|
||||
|
||||
if len(data) < CPU_THREADS:
|
||||
split_data = [data]
|
||||
else:
|
||||
msg_per_core = int(len(data) / CPU_THREADS)
|
||||
split_data = array_split(data, ceil(len(data) / msg_per_core))
|
||||
for index, split in enumerate(split_data):
|
||||
log.debug(f"Delegating processing of {len(split)} messages to thread {index}")
|
||||
task = loop.run_in_executor(p, process_data, data)
|
||||
tasks.append(task)
|
||||
|
||||
results = [await task for task in tasks]
|
||||
log.debug(f"Results from processing of {len_data} messages: {len(results)}")
|
||||
|
||||
# Join the results back from the split list
|
||||
flat_list = [item for sublist in results for item in sublist]
|
||||
await db.store_kafka_batch(flat_list)
|
||||
|
||||
log.debug(f"Finished processing {len_data} messages")
|
||||
|
||||
|
||||
def process_data(data):
|
||||
to_store = []
|
||||
|
||||
# Initialise sentiment analyser
|
||||
analyzer = SentimentIntensityAnalyzer()
|
||||
for msg in data:
|
||||
if msg["src"] == "4ch":
|
||||
board = msg["net"]
|
||||
thread = msg["channel"]
|
||||
|
||||
# Calculate hash for post
|
||||
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']}"
|
||||
key_content = db.r.get(redis_key)
|
||||
if key_content:
|
||||
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
|
||||
else:
|
||||
msg["type"] = "update"
|
||||
db.r.set(redis_key, hash)
|
||||
for key2, value in list(msg.items()):
|
||||
if key2 in ATTRMAP:
|
||||
msg[ATTRMAP[key2]] = msg[key2]
|
||||
del msg[key2]
|
||||
if "ts" in msg:
|
||||
old_time = msg["ts"]
|
||||
# '08/30/22(Tue)02:25:37'
|
||||
time_spl = old_time.split(":")
|
||||
if len(time_spl) == 3:
|
||||
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()
|
||||
new_ts = int(old_ts.timestamp())
|
||||
msg["ts"] = new_ts
|
||||
else:
|
||||
raise Exception("No TS in msg")
|
||||
if "msg" in msg:
|
||||
soup = BeautifulSoup(msg["msg"], "html.parser")
|
||||
msg_str = soup.get_text(separator="\n")
|
||||
msg["msg"] = msg_str
|
||||
# Annotate sentiment/NLP
|
||||
if "msg" in msg:
|
||||
# Language
|
||||
text = Text(msg["msg"])
|
||||
try:
|
||||
lang_code = text.language.code
|
||||
lang_name = text.language.name
|
||||
msg["lang_code"] = lang_code
|
||||
msg["lang_name"] = lang_name
|
||||
except cld2_error as e:
|
||||
log.error(f"Error detecting language: {e}")
|
||||
# So below block doesn't fail
|
||||
lang_code = None
|
||||
|
||||
# Blatant discrimination
|
||||
if lang_code == "en":
|
||||
|
||||
# Sentiment
|
||||
vs = analyzer.polarity_scores(str(msg["msg"]))
|
||||
addendum = vs["compound"]
|
||||
msg["sentiment"] = addendum
|
||||
|
||||
# Tokens
|
||||
n = nlp(msg["msg"])
|
||||
for tag in TAGS:
|
||||
tag_name = tag.lower()
|
||||
tags_flag = [token.lemma_ for token in n if token.pos_ == tag]
|
||||
msg[f"words_{tag_name}"] = tags_flag
|
||||
|
||||
# Add the mutated message to the return buffer
|
||||
to_store.append(msg)
|
||||
return to_store
|
||||
|
|
@ -5,7 +5,18 @@ redis
|
|||
siphashc
|
||||
aiohttp[speedups]
|
||||
python-dotenv
|
||||
manticoresearch
|
||||
#manticoresearch
|
||||
numpy
|
||||
ujson
|
||||
aioredis[hiredis]
|
||||
aiokafka
|
||||
vaderSentiment
|
||||
polyglot
|
||||
pyicu
|
||||
pycld2
|
||||
morfessor
|
||||
six
|
||||
nltk
|
||||
spacy
|
||||
python-Levenshtein
|
||||
orjson
|
||||
|
|
|
|||
|
|
@ -2,41 +2,30 @@
|
|||
import asyncio
|
||||
import random
|
||||
import string
|
||||
from concurrent.futures import ProcessPoolExecutor
|
||||
from datetime import datetime
|
||||
from math import ceil
|
||||
|
||||
import aiohttp
|
||||
import ujson
|
||||
from bs4 import BeautifulSoup
|
||||
from numpy import array_split
|
||||
from siphashc import siphash
|
||||
|
||||
import db
|
||||
import util
|
||||
from schemas.ch4_s import ATTRMAP
|
||||
|
||||
# CONFIGURATION #
|
||||
|
||||
# Number of 4chan threads to request at once
|
||||
THREADS_CONCURRENT = 100
|
||||
THREADS_CONCURRENT = 1000
|
||||
|
||||
# Seconds to wait between every THREADS_CONCURRENT requests
|
||||
THREADS_DELAY = 0.8
|
||||
THREADS_DELAY = 0.1
|
||||
|
||||
# Seconds to wait between crawls
|
||||
CRAWL_DELAY = 5
|
||||
|
||||
# Semaphore value ?
|
||||
THREADS_SEMAPHORE = 100
|
||||
|
||||
# Maximum number of CPU threads to use for post processing
|
||||
CPU_THREADS = 1
|
||||
THREADS_SEMAPHORE = 1000
|
||||
|
||||
# CONFIGURATION END #
|
||||
|
||||
p = ProcessPoolExecutor(CPU_THREADS)
|
||||
|
||||
|
||||
class Chan4(object):
|
||||
"""
|
||||
|
|
@ -83,10 +72,12 @@ class Chan4(object):
|
|||
self.log.debug(f"Got boards: {self.boards}")
|
||||
|
||||
async def get_thread_lists(self, boards):
|
||||
self.log.debug(f"Getting thread list for {boards}")
|
||||
# self.log.debug(f"Getting thread list for {boards}")
|
||||
board_urls = {board: f"{board}/catalog.json" for board in boards}
|
||||
responses = await self.api_call(board_urls)
|
||||
to_get = []
|
||||
flat_map = [board for board, thread in responses]
|
||||
self.log.debug(f"Got thread list for {flat_map}: {len(responses)}")
|
||||
for mapped, response in responses:
|
||||
if not response:
|
||||
continue
|
||||
|
|
@ -95,7 +86,6 @@ class Chan4(object):
|
|||
no = threads["no"]
|
||||
to_get.append((mapped, no))
|
||||
|
||||
self.log.info(f"Got thread list for {mapped}: {len(response)}")
|
||||
if not to_get:
|
||||
return
|
||||
split_threads = array_split(to_get, ceil(len(to_get) / THREADS_CONCURRENT))
|
||||
|
|
@ -122,96 +112,36 @@ class Chan4(object):
|
|||
(board, thread): f"{board}/thread/{thread}.json"
|
||||
for board, thread in thread_list
|
||||
}
|
||||
self.log.debug(f"Getting information for threads: {thread_urls}")
|
||||
# self.log.debug(f"Getting information for threads: {thread_urls}")
|
||||
responses = await self.api_call(thread_urls)
|
||||
self.log.debug(f"Got information for threads: {thread_urls}")
|
||||
self.log.debug(f"Got information for {len(responses)} threads")
|
||||
|
||||
all_posts = {}
|
||||
for mapped, response in responses:
|
||||
if not response:
|
||||
continue
|
||||
board, thread = mapped
|
||||
self.log.debug(f"Got thread content for thread {thread} on board {board}")
|
||||
all_posts[mapped] = response["posts"]
|
||||
|
||||
# Split into 10,000 chunks
|
||||
if not all_posts:
|
||||
return
|
||||
threads_per_core = int(len(all_posts) / CPU_THREADS)
|
||||
for i in range(CPU_THREADS):
|
||||
new_dict = {}
|
||||
pulled_posts = self.take_items(all_posts, threads_per_core)
|
||||
for k, v in pulled_posts:
|
||||
if k in new_dict:
|
||||
new_dict[k].append(v)
|
||||
else:
|
||||
new_dict[k] = [v]
|
||||
await self.handle_posts_thread(new_dict)
|
||||
# print("VAL", ceil(len(all_posts) / threads_per_core))
|
||||
# split_posts = array_split(all_posts, ceil(len(all_posts) / threads_per_core))
|
||||
# print("THREADS PER CORE SPLIT", len(split_posts))
|
||||
# # print("SPLIT CHUNK", len(split_posts))
|
||||
# for posts in split_posts:
|
||||
# print("SPAWNED THREAD TO PROCESS", len(posts), "POSTS")
|
||||
# await self.handle_posts_thread(posts)
|
||||
await self.handle_posts(all_posts)
|
||||
|
||||
# await self.handle_posts_thread(all_posts)
|
||||
|
||||
@asyncio.coroutine
|
||||
def handle_posts_thread(self, posts):
|
||||
loop = asyncio.get_event_loop()
|
||||
yield from loop.run_in_executor(p, self.handle_posts, posts)
|
||||
|
||||
def handle_posts(self, posts):
|
||||
async def handle_posts(self, posts):
|
||||
to_store = []
|
||||
for key, post_list in posts.items():
|
||||
board, thread = key
|
||||
for index, post in enumerate(post_list):
|
||||
posts[key][index]["type"] = "msg"
|
||||
|
||||
# Calculate hash for post
|
||||
post_normalised = ujson.dumps(post, sort_keys=True)
|
||||
hash = siphash(self.hash_key, post_normalised)
|
||||
hash = str(hash)
|
||||
redis_key = f"cache.{board}.{thread}.{post['no']}"
|
||||
key_content = db.r.get(redis_key)
|
||||
if key_content:
|
||||
key_content = key_content.decode("ascii")
|
||||
if key_content == hash:
|
||||
continue
|
||||
else:
|
||||
posts[key][index]["type"] = "update"
|
||||
db.r.set(redis_key, hash)
|
||||
|
||||
for key2, value in list(post.items()):
|
||||
if key2 in ATTRMAP:
|
||||
post[ATTRMAP[key2]] = posts[key][index][key2]
|
||||
del posts[key][index][key2]
|
||||
if "ts" in post:
|
||||
old_time = posts[key][index]["ts"]
|
||||
# '08/30/22(Tue)02:25:37'
|
||||
time_spl = old_time.split(":")
|
||||
if len(time_spl) == 3:
|
||||
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()
|
||||
new_ts = int(old_ts.timestamp())
|
||||
posts[key][index]["ts"] = new_ts
|
||||
if "msg" in post:
|
||||
soup = BeautifulSoup(posts[key][index]["msg"], "html.parser")
|
||||
msg = soup.get_text(separator="\n")
|
||||
posts[key][index]["msg"] = msg
|
||||
|
||||
posts[key][index]["src"] = "4ch"
|
||||
posts[key][index]["net"] = board
|
||||
posts[key][index]["channel"] = thread
|
||||
|
||||
to_store.append(posts[key][index])
|
||||
|
||||
# print({name_map[name]: val for name, val in post.items()})
|
||||
# print(f"Got posts: {len(posts)}")
|
||||
if to_store:
|
||||
db.store_message_bulk(to_store)
|
||||
await db.queue_message_bulk(to_store)
|
||||
|
||||
async def fetch(self, url, session, mapped):
|
||||
async with session.get(url) as response:
|
||||
|
|
@ -235,7 +165,7 @@ class Chan4(object):
|
|||
async with aiohttp.ClientSession(connector=connector) as session:
|
||||
for mapped, method in methods.items():
|
||||
url = f"{self.api_endpoint}/{method}"
|
||||
self.log.debug(f"GET {url}")
|
||||
# self.log.debug(f"GET {url}")
|
||||
task = asyncio.create_task(self.bound_fetch(sem, url, session, mapped))
|
||||
# task = asyncio.ensure_future(self.bound_fetch(sem, url, session))
|
||||
tasks.append(task)
|
||||
|
|
|
|||
|
|
@ -41,4 +41,4 @@ class DiscordClient(discord.Client):
|
|||
a["type"] = "msg"
|
||||
a["src"] = "dis"
|
||||
|
||||
db.store_message(a)
|
||||
await db.queue_message(a)
|
||||
|
|
|
|||
|
|
@ -1,15 +1,20 @@
|
|||
import asyncio
|
||||
|
||||
import ujson
|
||||
import orjson
|
||||
|
||||
import db
|
||||
import util
|
||||
from processing import process
|
||||
|
||||
SOURCES = ["irc"]
|
||||
SOURCES = ["4ch", "irc", "dis"]
|
||||
KEYPREFIX = "queue."
|
||||
CHUNK_SIZE = 1000
|
||||
|
||||
# Chunk size per source (divide by len(SOURCES) for total)
|
||||
CHUNK_SIZE = 9000
|
||||
ITER_DELAY = 0.5
|
||||
|
||||
log = util.get_logger("ingest")
|
||||
|
||||
|
||||
class Ingest(object):
|
||||
def __init__(self):
|
||||
|
|
@ -18,19 +23,18 @@ class Ingest(object):
|
|||
|
||||
async def run(self):
|
||||
while True:
|
||||
await self.process_chunk()
|
||||
await self.get_chunk()
|
||||
await asyncio.sleep(ITER_DELAY)
|
||||
|
||||
async def process_chunk(self):
|
||||
async def get_chunk(self):
|
||||
items = []
|
||||
for source in SOURCES:
|
||||
key = f"{KEYPREFIX}{source}"
|
||||
chunk = await db.ar.spop(key, CHUNK_SIZE)
|
||||
if not chunk:
|
||||
continue
|
||||
self.log.info(f"Got chunk: {chunk}")
|
||||
for item in chunk:
|
||||
item = ujson.loads(item)
|
||||
self.log.info(f"Got item: {item}")
|
||||
item = orjson.loads(item)
|
||||
items.append(item)
|
||||
db.store_message_bulk(items)
|
||||
if items:
|
||||
await process.spawn_processing_threads(items)
|
||||
|
|
|
|||
Loading…
Reference in New Issue