Files
rengine/shared/services/surface_query/software.py
T
Yogesh OjhaandClaude Opus 5 3644dffe63 feat(tables): select rows and act on them from one action bar
Every result and management table gains multi-row selection and the floating
action bar targets and scans already had: copy, export selection, delete, and
the dimension's own actions. Rescan and triage move off the inline strip, which
now only offers the rescan that acts on the whole query.

Delete is dimension-local. A row takes only what cannot stand without it: a web
asset its stored responses, a secret its sightings. Endpoints, services and
findings on a deleted host are kept, so every count stays equal to its table.
POST /surface/delete is the one route and the scope is a WHERE, so an id from
another scan deletes nothing. Vulnerabilities are addressable by template_id so
the Issues view deletes a whole check. Exposures dismiss rather than delete: an
exposure row is a web asset.

Selection export runs through the export pipeline. Every surface filter gains
ids, capped by MAX_SELECTED_ROWS.

Secrets and software become exportable, which fixes two breaks: a bundle export
raised KeyError on the secrets dimension, and mcp read a SURFACE_COLUMNS entry
for secrets that did not exist.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XyDpdVXL7YVsr5D7BVj2zt
2026-09-15 07:38:48 +05:30

79 lines
2.1 KiB
Python

"""Software CVE statement building, shared by the api's search and the worker's export."""
from __future__ import annotations
from typing import TYPE_CHECKING
from sqlalchemy import func, select
from shared.definitions.asset_query import SOFTWARE_QUERY
from shared.models.software import SoftwareCve
from shared.services.asset_query import (
QueryScope,
SoftwareQueryContext,
compile_software_query,
parse_query,
)
if TYPE_CHECKING:
from datetime import datetime
from shared.models.software import SoftwareFilter
_SORTS = {
"rank": SoftwareCve.exploit_score,
"cvss": SoftwareCve.cvss_score,
"epss": SoftwareCve.epss_score,
"cve": SoftwareCve.cve,
"software": SoftwareCve.name,
"host": SoftwareCve.host,
"seen": SoftwareCve.discovered_at,
}
def severity_rank():
return func.coalesce(SoftwareCve.cvss_score, 0.0)
def context(scope: QueryScope, now: datetime) -> SoftwareQueryContext:
return SoftwareQueryContext(scope=scope, now=now)
def apply_filter(query, f: SoftwareFilter):
if f.ids:
query = query.where(SoftwareCve.id.in_(f.ids))
return query
def order(query, f: SoftwareFilter):
column = _SORTS.get((f.sort or "").lower())
if column is None:
return query.order_by(
SoftwareCve.exploit_score.desc(),
severity_rank().desc(),
SoftwareCve.cve.desc(),
SoftwareCve.id,
)
descending = (f.direction or "desc").lower() != "asc"
ordered = column.desc() if descending else column.asc()
return query.order_by(ordered, SoftwareCve.cve, SoftwareCve.id)
def scoped(scope: QueryScope, f: SoftwareFilter, columns=None):
base = select(SoftwareCve) if columns is None else select(*columns)
return apply_filter(base.where(scope.match(SoftwareCve.scan_id)), f)
def compiled(scope: QueryScope, f: SoftwareFilter, now: datetime):
return compile_software_query(parse_query(f.q, SOFTWARE_QUERY), context(scope, now))
__all__ = [
"apply_filter",
"compiled",
"context",
"order",
"scoped",
"severity_rank",
]