browsertrix/backend/btrixcloud/operator/baseoperator.py
Ilya Kreymer 335700e683
Additional typing cleanup (#1938)
Misc typing fixes, including in profiles and time functions

---------
Co-authored-by: Tessa Walsh <tessa@bitarchivist.net>
2024-07-17 10:49:22 -07:00

191 lines
6.6 KiB
Python

""" Base Operator class for all operators """
import asyncio
import os
from typing import TYPE_CHECKING, Any
from kubernetes.utils import parse_quantity
import yaml
from btrixcloud.k8sapi import K8sAPI
if TYPE_CHECKING:
from btrixcloud.crawlconfigs import CrawlConfigOps
from btrixcloud.crawls import CrawlOps
from btrixcloud.orgs import OrgOps
from btrixcloud.colls import CollectionOps
from btrixcloud.storages import StorageOps
from btrixcloud.webhooks import EventWebhookOps
from btrixcloud.users import UserManager
from btrixcloud.background_jobs import BackgroundJobOps
from btrixcloud.pages import PageOps
from redis.asyncio.client import Redis
else:
CrawlConfigOps = CrawlOps = OrgOps = CollectionOps = Redis = object
StorageOps = EventWebhookOps = UserManager = BackgroundJobOps = PageOps = object
# ============================================================================
class K8sOpAPI(K8sAPI):
"""Additional k8s api for operators"""
has_pod_metrics: bool
max_crawler_memory_size: int
def __init__(self):
super().__init__()
self.config_file = "/config/config.yaml"
with open(self.config_file, encoding="utf-8") as fh_config:
self.shared_params = yaml.safe_load(fh_config)
self.has_pod_metrics = False
self.max_crawler_memory_size = 0
self.compute_crawler_resources()
self.compute_profile_resources()
def compute_crawler_resources(self) -> None:
"""compute memory / cpu resources for crawlers"""
p = self.shared_params
num_workers = max(int(p["crawler_browser_instances"]), 1)
try:
qa_num_workers = max(int(p["qa_browser_instances"]), 1)
# pylint: disable=bare-except
except:
# default to 1 for now for best results (to revisit in the future)
qa_num_workers = 1
crawler_cpu: float = 0
crawler_memory: int = 0
qa_cpu: float = 0
qa_memory: int = 0
print("crawler resources")
if not p.get("crawler_cpu"):
base = parse_quantity(p["crawler_cpu_base"])
extra = parse_quantity(p["crawler_extra_cpu_per_browser"])
# cpu is a floating value of cpu cores
crawler_cpu = float(base + (num_workers - 1) * extra)
qa_cpu = float(base + (qa_num_workers - 1) * extra)
print(f"cpu = {base} + {num_workers - 1} * {extra} = {crawler_cpu}")
print(f"qa_cpu = {base} + {qa_num_workers - 1} * {extra} = {qa_cpu}")
else:
crawler_cpu = float(parse_quantity(p["crawler_cpu"]))
qa_cpu = crawler_cpu
print(f"cpu = {crawler_cpu}")
if not p.get("crawler_memory"):
base = parse_quantity(p["crawler_memory_base"])
extra = parse_quantity(p["crawler_extra_memory_per_browser"])
# memory is always an int
crawler_memory = int(base + (num_workers - 1) * extra)
qa_memory = int(base + (qa_num_workers - 1) * extra)
print(f"memory = {base} + {num_workers - 1} * {extra} = {crawler_memory}")
print(f"qa_memory = {base} + {qa_num_workers - 1} * {extra} = {qa_memory}")
else:
crawler_memory = int(parse_quantity(p["crawler_memory"]))
qa_memory = crawler_memory
print(f"memory = {crawler_memory}")
max_crawler_memory_size = 0
max_crawler_memory = os.environ.get("MAX_CRAWLER_MEMORY")
if max_crawler_memory:
max_crawler_memory_size = int(parse_quantity(max_crawler_memory))
self.max_crawler_memory_size = max_crawler_memory_size or crawler_memory
print(f"max crawler memory size: {self.max_crawler_memory_size}")
p["crawler_cpu"] = crawler_cpu
p["crawler_memory"] = crawler_memory
p["crawler_workers"] = num_workers
p["qa_cpu"] = qa_cpu
p["qa_memory"] = qa_memory
p["qa_workers"] = qa_num_workers
def compute_profile_resources(self) -> None:
"""compute memory /cpu resources for a single profile browser"""
p = self.shared_params
# if no profile specific options provided, default to crawler base for one browser
profile_cpu = parse_quantity(
p.get("profile_browser_cpu") or p["crawler_cpu_base"]
)
profile_memory = parse_quantity(
p.get("profile_browser_memory") or p["crawler_memory_base"]
)
p["profile_cpu"] = profile_cpu
p["profile_memory"] = profile_memory
print("profile browser resources")
print(f"cpu = {profile_cpu}")
print(f"memory = {profile_memory}")
async def async_init(self) -> None:
"""perform any async init here"""
self.has_pod_metrics = await self.is_pod_metrics_available()
print("Pod Metrics Available:", self.has_pod_metrics)
# pylint: disable=too-many-instance-attributes, too-many-arguments
# ============================================================================
class BaseOperator:
"""BaseOperator"""
k8s: K8sOpAPI
crawl_config_ops: CrawlConfigOps
crawl_ops: CrawlOps
orgs_ops: OrgOps
coll_ops: CollectionOps
storage_ops: StorageOps
event_webhook_ops: EventWebhookOps
background_job_ops: BackgroundJobOps
user_ops: UserManager
page_ops: PageOps
def __init__(
self,
k8s,
crawl_config_ops,
crawl_ops,
org_ops,
coll_ops,
storage_ops,
event_webhook_ops,
background_job_ops,
page_ops,
):
self.k8s = k8s
self.crawl_config_ops = crawl_config_ops
self.crawl_ops = crawl_ops
self.org_ops = org_ops
self.coll_ops = coll_ops
self.storage_ops = storage_ops
self.background_job_ops = background_job_ops
self.event_webhook_ops = event_webhook_ops
self.page_ops = page_ops
self.user_ops = crawl_config_ops.user_manager
# to avoid background tasks being garbage collected
# see: https://stackoverflow.com/a/74059981
self.bg_tasks = set()
def init_routes(self, app) -> None:
"""init routes for this operator"""
def run_task(self, func) -> None:
"""add bg tasks to set to avoid premature garbage collection"""
task = asyncio.create_task(func)
self.bg_tasks.add(task)
task.add_done_callback(self.bg_tasks.discard)
def load_from_yaml(self, filename, params) -> list[Any]:
"""load and parse k8s template from yaml file"""
return list(
yaml.safe_load_all(
self.k8s.templates.env.get_template(filename).render(params)
)
)