guarddog-nexus/guarddog_nexus/core/harvester.py

"""Harvester: download a package from Nexus, scan it, store results."""

import asyncio
import datetime
import os
import shutil
import tempfile

from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession

from ..config import config
from ..constants import (
    DEFAULT_ECOSYSTEM,
    ERROR_MESSAGE_MAX_LENGTH,
    PACKAGE_EXTENSIONS,
    SCAN_ERROR_DOWNLOAD_FAILED,
)
from ..db.models import Finding, Scan, ScanStatus
from ..logging_setup import log
from .nexus import compute_sha256, download_asset, extract_package_info
from .scanner import scan_package

# Per-URL locks to avoid parallel scans of the same asset
_url_locks: dict[str, asyncio.Lock] = {}
_url_lock = asyncio.Lock()

# Global semaphore to limit concurrent GuardDog processes
_scan_semaphore = asyncio.Semaphore(config.max_concurrent_scans)


async def harvest(
    download_url: str,
    repository: str,
    format_: str,
    asset_path: str,
    session: AsyncSession,
    initiator: str | None = None,
    source_ip: str | None = None,
) -> Scan | None:
    ecosystem = format_ if format_ else DEFAULT_ECOSYSTEM

    filename = os.path.basename(download_url.split("?")[0])
    if not filename.endswith(PACKAGE_EXTENSIONS):
        log.info("Skipping non-package asset: %s", filename)
        return None

    info = extract_package_info(asset_path, ecosystem)
    if info is None:
        log.warning("Could not parse package info from path: %s", asset_path)
        return None

    package_name, package_version = info

    # Acquire per-URL lock to prevent parallel scans of the same asset
    async with _url_lock:
        if download_url not in _url_locks:
            _url_locks[download_url] = asyncio.Lock()

    lock = _url_locks[download_url]
    if lock.locked():
        log.info("URL already being processed, skipping: %s", download_url)
        return None

    async with lock:
        try:
            # Re-check DB in case another task already created and finished a scan
            active = await session.scalar(
                select(Scan.id).where(
                    Scan.nexus_asset_url == download_url,
                    Scan.status.in_([ScanStatus.PENDING.value, ScanStatus.SCANNING.value]),
                )
            )
            if active:
                log.info("Already scanning this URL, skipping")
                return None
        finally:
            async with _url_lock:
                _url_locks.pop(download_url, None)

    scan = Scan(
        package_name=package_name,
        package_version=package_version,
        ecosystem=ecosystem,
        repository=repository,
        nexus_asset_url=download_url,
        initiator=initiator,
        source_ip=source_ip,
        status=ScanStatus.PENDING.value,
    )
    session.add(scan)
    await session.commit()
    await session.refresh(scan)

    try:
        os.makedirs(config.temp_dir, exist_ok=True)
        tmpdir = tempfile.mkdtemp(dir=config.temp_dir)
        scan.status = ScanStatus.SCANNING.value
        await session.commit()

        downloaded = await download_asset(download_url, tmpdir)
        if not downloaded:
            scan.status = ScanStatus.FAILED.value
            scan.error_message = SCAN_ERROR_DOWNLOAD_FAILED
            scan.finished_at = datetime.datetime.now(datetime.timezone.utc)
            await session.commit()
            return scan

        scan.sha256 = await compute_sha256(downloaded)
        await session.commit()

        existing = await session.scalar(
            select(Scan.id).where(
                Scan.sha256 == scan.sha256,
                Scan.id != scan.id,
            )
        )
        if existing:
            log.info(
                "SHA256 already seen in scan #%d for %s==%s, skipping",
                existing,
                package_name,
                package_version,
            )
            scan.status = ScanStatus.COMPLETED.value
            scan.finished_at = datetime.datetime.now(datetime.timezone.utc)
            await session.commit()
            return scan

        log.info("Scanning %s==%s", package_name, package_version)
        async with _scan_semaphore:
            result = await scan_package(downloaded, ecosystem)

        findings_list = result.get("findings", [])
        created_findings: list[Finding] = []

        for fdata in findings_list:
            f = Finding(scan_id=scan.id, data=fdata)
            session.add(f)
            created_findings.append(f)

        scan.total_findings = len(findings_list)
        scan.flagged = len(findings_list) > 0
        scan.status = ScanStatus.COMPLETED.value
        scan.finished_at = datetime.datetime.now(datetime.timezone.utc)
        await session.commit()

        # Refresh to get IDs
        for f in created_findings:
            await session.refresh(f)

        # Auto-trigger LLM analysis for flagged packages
        llm_reports = []
        if scan.flagged and config.llm_enabled and config.llm_auto_analyze:
            try:
                llm_reports = await _run_llm_analysis(created_findings, session)
            except Exception as e:
                log.error("LLM analysis failed for %s==%s: %s", package_name, package_version, e)
                llm_reports = []

        if scan.flagged:
            extra = {
                "scan_id": scan.id,
                "package": f"{package_name}=={package_version}",
                "findings_count": scan.total_findings,
                "repository": repository,
            }
            if llm_reports:
                extra["llm_analysis"] = llm_reports
            log.warning(
                "FLAGGED %s==%s: %d findings in repo %s",
                package_name,
                package_version,
                scan.total_findings,
                repository,
            )
            if llm_reports:
                log.info(
                    "LLM analysis complete for %s==%s: %d reports",
                    package_name,
                    package_version,
                    len(llm_reports),
                )

        log.info(
            "Scan complete: %s==%s (%d findings)",
            package_name,
            package_version,
            scan.total_findings,
        )
        return scan

    except Exception as e:
        log.error("Scan failed for %s==%s: %s", package_name, package_version, e)
        scan.status = ScanStatus.FAILED.value
        scan.error_message = str(e)[:ERROR_MESSAGE_MAX_LENGTH]
        scan.finished_at = datetime.datetime.now(datetime.timezone.utc)
        await session.commit()
        return scan

    finally:
        shutil.rmtree(tmpdir, ignore_errors=True)


async def _run_llm_analysis(findings: list[Finding], session: AsyncSession) -> list[dict]:
    """Run LLM analysis on findings and persist reports to the database."""
    from .llm import analyze_finding

    # Mark all as analyzing so the UI shows a spinner
    for finding in findings:
        finding.report = {"status": "analyzing"}
    await session.commit()

    reports = []
    for finding in findings:
        report = await analyze_finding(finding.data)
        if report:
            finding.report = report
            reports.append(report)
        else:
            finding.report = None
    await session.commit()
    return reports