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"content": "from __future__ import annotations\n\nimport asyncio\nfrom dataclasses import dataclass\nfrom urllib.parse import urlsplit\n\nfrom src.application.use_cases.start_crawl import StartCrawlInput\nfrom src.domain.value_objects.enums import CrawlMode, CrawlStatus, TriggerSource\nfrom src.infrastructure.config.constants import HTTP_CONCURRENCY\nfrom src.infrastructure.fetchers.httpx_fetcher import HttpxFetcher\nfrom src.interfaces.cli.wiring import Container\nfrom src.interfaces.cli.worker import QueueWorker, WorkerConfig\n\n\n@dataclass(frozen=True, slots=True)\nclass CrawlCliInput:\n base_url: str\n mode: CrawlMode\n trigger: TriggerSource\n concurrency: int = HTTP_CONCURRENCY\n max_urls: int | None = None\n\n\nasync def run_crawl(container: Container, command: CrawlCliInput) -> int:\n crawl = container.start_crawl().execute(\n StartCrawlInput(\n base_url=command.base_url,\n mode=command.mode,\n trigger_source=command.trigger,\n config={},\n ),\n )\n if crawl.id is None:\n raise RuntimeError(\"start_crawl did not assign id\")\n fetcher = HttpxFetcher.create()\n registered_domain = urlsplit(command.base_url).hostname or \"\"\n try:\n process_uc = container.process_url(fetcher, registered_domain=registered_domain)\n worker = QueueWorker(\n queue=container.queue,\n process_url=process_uc,\n errors=container.repos.errors,\n clock=container.clock,\n )\n processed = await worker.run(\n WorkerConfig(\n crawl_id=crawl.id,\n concurrency=command.concurrency,\n max_urls=command.max_urls,\n )\n )\n finally:\n await fetcher.close()\n container.finalize().execute(\n crawl_id=crawl.id,\n status=CrawlStatus.COMPLETED,\n total_urls=processed,\n )\n return crawl.id\n\n\ndef sync_run_crawl(container: Container, command: CrawlCliInput) -> int:\n return asyncio.run(run_crawl(container, command))\n",
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