distro-tools/apollo/db/advisory.py

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import datetime
from typing import Optional
from tortoise import connections
from apollo.db import Advisory
async def fetch_advisories(
size: int,
page_offset: int,
keyword: Optional[str],
product: Optional[str],
before: Optional[datetime.datetime],
after: Optional[datetime.datetime],
cve: Optional[str],
synopsis: Optional[str],
severity: Optional[str],
kind: Optional[str],
fetch_related: bool = False,
) -> tuple[int, list[Advisory]]:
a = """
with vars (search, size, page_offset, product, before, after, cve, synopsis, severity, kind) as (
values ($1 :: text, $2 :: bigint, $3 :: bigint, $4 :: text, $5 :: timestamp, $6 :: timestamp, $7 :: text, $8 :: text, $9 :: text, $10 :: text)
)
select
a.id,
a.created_at,
a.updated_at,
a.published_at,
a.name,
a.synopsis,
a.description,
a.kind,
a.severity,
a.topic,
a.red_hat_advisory_id,
count(a.*) over () as total
from
advisories a
left outer join advisory_affected_products ap on ap.advisory_id = a.id
left outer join advisory_cves c on c.advisory_id = a.id
left outer join advisory_fixes f on f.advisory_id = a.id
where
a.published_at is not null
"""
where_stmt = ""
if product:
where_stmt += """
and exists (select name from advisory_affected_products where advisory_id = a.id and name like '%' || (select product from vars) || '%')
"""
if before:
where_stmt += """
and a.published_at < (select before from vars)
"""
if after:
where_stmt += """
and a.published_at > (select after from vars)
"""
if cve:
where_stmt += """
and exists (select cve from advisory_cves where advisory_id = a.id and cve ilike '%' || (select cve from vars) || '%')
"""
if synopsis:
where_stmt += """
and a.synopsis ilike '%' || (select synopsis from vars) || '%'
"""
if severity:
where_stmt += """
and a.severity = (select severity from vars)
"""
if kind:
where_stmt += """
and a.kind = (select kind from vars)
"""
if keyword:
where_stmt += """
and (ap.name like '%' || (select search from vars) || '%' or
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a.synopsis ilike '%' || (select search from vars) || '%' or
a.description ilike '%' || (select search from vars) || '%' or
exists (select cve from advisory_cves where advisory_id = a.id and cve ilike '%' || (select search from vars) || '%') or
exists (select ticket_id from advisory_fixes where advisory_id = a.id and ticket_id ilike '%' || (select search from vars) || '%') or
a.name ilike '%' || (select search from vars) || '%')
"""
a += where_stmt
a += """
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group by a.id
order by a.published_at desc
limit (select size from vars) offset (select page_offset from vars)
"""
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connection = connections.get("default")
results = await connection.execute_query(
a, [
keyword,
size,
page_offset,
product,
before,
after,
cve,
synopsis,
severity,
kind,
]
)
count = 0
if results:
if results[1]:
count = results[1][0]["total"]
advisories = [Advisory(**x) for x in results[1]]
if fetch_related:
for advisory in advisories:
await advisory.fetch_related(
"packages",
"cves",
"fixes",
"affected_products",
"packages",
"packages__supported_product",
"packages__supported_products_rh_mirror",
)
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return (
count,
advisories,
)