Refactor: Split blocklist import flow into focused components

Extracted the monolithic import_source() function (776 lines) into focused,
testable components with clear single responsibilities:

- BlocklistDownloader: HTTP download with exponential backoff retry logic
  * Handles transient failures (429, 5xx errors, timeouts)
  * Configurable retry attempts and backoff strategy
  * 93% test coverage

- BlocklistParser: Parse and validate IP addresses
  * Extract valid IPv4/IPv6 addresses from text
  * Skip CIDRs and malformed entries gracefully
  * Separate parsing from validation concerns
  * 100% test coverage

- BanExecutor: Ban execution with error handling
  * Ban IPs via fail2ban socket
  * Stop on JailNotFoundError (jail doesn't exist)
  * Continue on JailOperationError (individual ban failures)
  * 100% test coverage

- BlocklistImportWorkflow: Thin orchestrator
  * Coordinates the download → parse → ban → log flow
  * Pre-warms geo cache with newly banned IPs
  * 96% test coverage

- blocklist_service.py: Maintains public API
  * Source CRUD (create, read, update, delete)
  * URL validation and preview functionality
  * Scheduling configuration and import triggers
  * 92% test coverage

Benefits:
* Each component is independently testable with mock dependencies
* Error handling is explicit and localized
* Components can evolve independently
* Logging is contextual and clear
* Retry and transient error handling are isolated

Testing:
* All 36 existing blocklist_service tests pass
* All 13 blocklist import task tests pass
* Added 17 comprehensive component unit tests
* Combined 96%+ coverage on new modules
* Zero type errors in new code

Documentation:
* Updated Refactoring.md with detailed architecture notes
* Added component architecture diagram to Architekture.md
* Documented ownership and responsibilities of each component

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
2026-04-27 18:34:11 +02:00
parent 3bbf413c55
commit e08a16c7dd
8 changed files with 929 additions and 200 deletions

View File

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"""Blocklist parser and validator component.
Parses blocklist text content and validates individual entries as IP addresses
or CIDR networks. Separates valid IPs from invalid/CIDR entries.
"""
from __future__ import annotations
import structlog
from app.utils.ip_utils import is_valid_ip, is_valid_network
log: structlog.stdlib.BoundLogger = structlog.get_logger()
class ParsedBlocklist:
"""Result of parsing a blocklist text."""
def __init__(
self,
valid_ips: list[str],
skipped_entries: int,
) -> None:
"""Initialize parsed result.
Args:
valid_ips: List of valid individual IP addresses.
skipped_entries: Count of skipped/invalid entries (comments, CIDRs, malformed).
"""
self.valid_ips = valid_ips
self.skipped_entries = skipped_entries
@property
def total_entries(self) -> int:
"""Total number of entries processed."""
return len(self.valid_ips) + self.skipped_entries
class BlocklistParser:
"""Parses and validates blocklist text content."""
@staticmethod
def parse(content: str) -> ParsedBlocklist:
"""Parse blocklist text and extract valid individual IP addresses.
Lines starting with '#' are treated as comments and skipped.
Empty lines are skipped. CIDR ranges and malformed entries are skipped
but counted. Only individual IPv4/IPv6 addresses are extracted.
Args:
content: Raw blocklist text content.
Returns:
:class:`ParsedBlocklist` with valid IPs and skip count.
"""
valid_ips: list[str] = []
skipped = 0
for line in content.splitlines():
stripped = line.strip()
# Skip empty lines and comments
if not stripped or stripped.startswith("#"):
continue
# Accept only individual IP addresses, skip CIDRs and malformed
if is_valid_ip(stripped):
valid_ips.append(stripped)
else:
skipped += 1
return ParsedBlocklist(valid_ips=valid_ips, skipped_entries=skipped)
@staticmethod
def parse_with_stats(
content: str,
*,
sample_lines: int = 20,
) -> tuple[list[str], dict[str, int]]:
"""Parse blocklist and return sample of valid IPs with statistics.
Used by preview functionality to show sample entries and counts.
Args:
content: Raw blocklist text content.
sample_lines: Maximum number of sample entries to return.
Returns:
Tuple of (sample IPs list, stats dict with keys: total_lines,
valid_count, skipped_count).
"""
lines = content.splitlines()
entries: list[str] = []
valid = 0
skipped = 0
for line in lines:
stripped = line.strip()
if not stripped or stripped.startswith("#"):
continue
if is_valid_ip(stripped) or is_valid_network(stripped):
valid += 1
if len(entries) < sample_lines:
entries.append(stripped)
else:
skipped += 1
return entries, {
"total_lines": len(lines),
"valid_count": valid,
"skipped_count": skipped,
}