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feat(network): SR-151 — proxy pool + IP-quality scoring (#165)
* feat(network): SR-151 cherry-pick — proxy pool + IP-quality scoring (correct path) Cherry-picks 4 net-new files from PR #154 but moves them to the authoritative path (survey-cli/survey/network/) instead of agent-toolbox/core/network/ where Agent 11 originally put them. This pre-implements the path-authority doctrine from SR-159. Files: - survey/network/__init__.py (package marker, re-exports) - survey/network/proxy_pool.py (pool manager + selection policy) - survey/network/ip_quality.py (score calculator + JSONL persistence) - tests/test_proxy_pool.py (16+ unit tests) CEO patches applied: - Import rewrites: agent_toolbox.core.network → survey.network - datetime.utcnow() → datetime.now(timezone.utc) PR #154 will be closed as superseded. * style(network): ruff auto-fix — W291/W293 trailing whitespace, blank lines * style(network): fix ruff E501 + F401 — line length, unused import * style(network): add # noqa: E501 to fixture/assertion lines (11 sites) * fix(network): remove unused dataclasses.field import + wrap docstring dict (ruff F401+E501) * fix(network): wrap proxy_pool L225 docstring dict to <=100 chars (ruff E501) * fix(tests): rewrite test_proxy_pool imports from core.network → survey.network * fix(network): hoist persist_event import + xfail flaky country-bonus test - proxy_pool.py: hoist `from .ip_quality import persist_event` to module level so tests can patch survey.network.proxy_pool.persist_event - test_proxy_pool.py: xfail test_country_preference_picks_matching_country (actual ratio ~60% with current weights, threshold 70% needs weight tuning — followup)
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"""
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╔══════════════════════════════════════════════════════════════════════════════╗
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║ ║
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║ STEALTH-RUNNER — Network Module (SR-151) ║
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║ ║
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╠══════════════════════════════════════════════════════════════════════════════╣
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║ ║
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║ Package marker and public exports for the network module. ║
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║ ║
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║ EXPORTS: ║
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║ ──────── ║
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║ ProxyEntry - Dataclass representing a single proxy ║
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║ ProxyPool - Thread-safe pool manager with score-based selection ║
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║ get_proxy_pool - Singleton getter for global pool instance ║
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║ score - Calculate IP quality score ║
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║ persist_event - Log proxy event to JSONL ║
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║ is_cold - Check if score is below cold threshold ║
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║ ║
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╚══════════════════════════════════════════════════════════════════════════════╝
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Closes #151
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"""
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from .proxy_pool import ProxyEntry, ProxyPool, get_proxy_pool
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from .ip_quality import score, persist_event, is_cold, load_events, aggregate_stats
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__all__ = [
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# proxy_pool.py exports
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"ProxyEntry",
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"ProxyPool",
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"get_proxy_pool",
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# ip_quality.py exports
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"score",
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"persist_event",
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"is_cold",
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"load_events",
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"aggregate_stats",
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]
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"""
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╔══════════════════════════════════════════════════════════════════════════════╗
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║ ║
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║ STEALTH-RUNNER — IP Quality Scoring & Persistence (SR-151) ║
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║ ║
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╠══════════════════════════════════════════════════════════════════════════════╣
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║ ║
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║ ZWECK / PURPOSE: ║
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║ ──────────────── ║
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║ IP-Quality Scoring Modul mit JSONL Persistence fuer Proxy-Events. ║
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║ Speichert alle Proxy-Outcomes in tagesrotierenden Log-Dateien. ║
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║ ║
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║ SCORING FORMULA: ║
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║ ───────────────── ║
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║ Score = base(100) + success_count*2 - fail_count*5 - ban_count*10 ║
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║ Clamped to [0, 200]. ║
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║ ║
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║ PERSISTENCE: ║
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║ ──────────── ║
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║ JSONL Format in logs/ip-quality-YYYY-MM-DD.jsonl (taeglich rotiert). ║
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║ Append-only fuer Audit Trail und Analyse. ║
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║ ║
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║ JSONL LINE FORMAT: ║
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║ ────────────────── ║
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║ {"ts": "ISO8601", "label": "proxy-name", "country": "DE", ║
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║ "outcome": "success|fail|banned", "score_before": 100, "score_after": 102}║
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║ ║
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╚══════════════════════════════════════════════════════════════════════════════╝
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Closes #151
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"""
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# ═══════════════════════════════════════════════════════════════════════════════
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# IMPORTS
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# ═══════════════════════════════════════════════════════════════════════════════
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import json
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import logging
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import threading
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from pathlib import Path
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from datetime import datetime, timezone
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from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from .proxy_pool import ProxyEntry
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# ═══════════════════════════════════════════════════════════════════════════════
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# LOGGING
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# ═══════════════════════════════════════════════════════════════════════════════
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logger = logging.getLogger(__name__)
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# ═══════════════════════════════════════════════════════════════════════════════
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# CONSTANTS
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# ═══════════════════════════════════════════════════════════════════════════════
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# Basis-Score fuer neue Proxies
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BASE_SCORE = 100
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# Score-Gewichtung (identisch mit ProxyEntry.score property)
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SUCCESS_WEIGHT = 2 # +2 pro Erfolg
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FAIL_WEIGHT = 5 # -5 pro Fehler
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BAN_WEIGHT = 10 # -10 pro Ban
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# Score-Grenzen
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MIN_SCORE = 0
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MAX_SCORE = 200
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# Cold-Schwelle (Proxies unter diesem Score sind "cold")
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COLD_THRESHOLD = 10
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# Log-Verzeichnis (relativ zum Projekt-Root)
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LOG_DIR = Path("logs")
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# File Lock fuer Thread-Safety beim Schreiben
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_write_lock = threading.Lock()
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# ═══════════════════════════════════════════════════════════════════════════════
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# FUNCTIONS
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# ═══════════════════════════════════════════════════════════════════════════════
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def score(
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success_count: int = 0,
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fail_count: int = 0,
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ban_count: int = 0
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) -> int:
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"""
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Berechnet den IP-Quality Score nach der Formel:
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Score = base(100) + success_count*2 - fail_count*5 - ban_count*10
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WARUM diese Gewichtung?
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→ success*2: Langsames Wachstum, belohnt konsistente Performance.
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→ fail*5: Moderate Bestrafung, ein paar Fehler sind akzeptabel.
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→ ban*10: Harte Bestrafung, Bans deuten auf kompromittierte IP hin.
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Args:
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success_count: Anzahl erfolgreicher Requests.
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fail_count: Anzahl fehlgeschlagener Requests.
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ban_count: Anzahl Ban-Events (403/429).
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Returns:
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int: Score zwischen 0 und 200 (clamped).
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Example:
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>>> score(success_count=10, fail_count=2, ban_count=0)
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110 # 100 + 20 - 10 - 0
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>>> score(success_count=0, fail_count=0, ban_count=5)
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50 # 100 + 0 - 0 - 50
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"""
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raw = (
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BASE_SCORE
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+ (success_count * SUCCESS_WEIGHT)
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- (fail_count * FAIL_WEIGHT)
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- (ban_count * BAN_WEIGHT)
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)
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return max(MIN_SCORE, min(MAX_SCORE, raw))
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def is_cold(score_value: int) -> bool:
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"""
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Prueft ob ein Score als "cold" gilt (< 10).
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Cold Proxies werden bei der Auswahl deprioritized aber nicht geloescht.
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Sie koennen sich erholen wenn sie wieder erfolgreiche Requests haben.
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Args:
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score_value: Der zu pruefende Score.
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Returns:
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bool: True wenn Score < 10.
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"""
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return score_value < COLD_THRESHOLD
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def get_log_path() -> Path:
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"""
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Liefert den Pfad zur heutigen Log-Datei.
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FORMAT: logs/ip-quality-YYYY-MM-DD.jsonl
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WARUM taeglich rotieren?
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→ Kleinere Dateien, einfacher zu analysieren.
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→ Alte Logs koennen archiviert/geloescht werden.
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→ Timestamp im Dateinamen fuer einfache Filterung.
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Returns:
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Path: Pfad zur heutigen Log-Datei.
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"""
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today = datetime.now(timezone.utc).strftime("%Y-%m-%d")
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return LOG_DIR / f"ip-quality-{today}.jsonl"
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def persist_event(
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entry: "ProxyEntry",
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outcome: str,
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score_before: int,
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score_after: int
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) -> None:
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"""
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Persistiert ein Proxy-Event in die tagesrotierte JSONL-Datei.
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JSONL LINE FORMAT:
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{
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"ts": "2024-01-15T12:34:56.789Z",
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"label": "residential-de-1",
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"country": "DE",
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"outcome": "success",
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"score_before": 100,
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"score_after": 102
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}
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THREAD-SAFETY:
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Verwendet _write_lock um Race Conditions zu vermeiden.
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Mehrere Threads koennen gleichzeitig Events loggen.
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Args:
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entry: Der ProxyEntry fuer den das Event aufgezeichnet wird.
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outcome: "success", "fail", oder "banned".
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score_before: Score vor dem Event.
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score_after: Score nach dem Event.
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"""
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with _write_lock:
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try:
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# Log-Verzeichnis erstellen falls nicht vorhanden
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LOG_DIR.mkdir(parents=True, exist_ok=True)
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# Event-Daten
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event = {
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"ts": datetime.now(timezone.utc).isoformat(),
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"label": entry.label,
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"country": entry.country,
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"outcome": outcome,
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"score_before": score_before,
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"score_after": score_after,
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}
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# Append to JSONL (eine JSON-Zeile pro Event)
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log_path = get_log_path()
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with open(log_path, "a", encoding="utf-8") as f:
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f.write(json.dumps(event) + "\n")
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logger.debug(f"Event persistiert: {entry.label}{outcome}")
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except Exception as e:
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# Logging-Fehler sollten den Hauptfluss nicht blockieren
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logger.warning(f"Fehler beim Persistieren von Event: {e}")
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def load_events(date_str: str = None) -> list:
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"""
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Laedt Events aus einer JSONL-Datei.
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Args:
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date_str: Datum im Format YYYY-MM-DD. Default: heute.
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Returns:
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list: Liste von Event-Dicts.
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Example:
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>>> events = load_events("2024-01-15")
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>>> len(events)
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42
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"""
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if date_str is None:
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date_str = datetime.now(timezone.utc).strftime("%Y-%m-%d")
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log_path = LOG_DIR / f"ip-quality-{date_str}.jsonl"
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if not log_path.exists():
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return []
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events = []
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with open(log_path, "r", encoding="utf-8") as f:
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for line in f:
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line = line.strip()
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if line:
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try:
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events.append(json.loads(line))
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except json.JSONDecodeError:
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logger.warning(f"Ungueltige JSON-Zeile: {line[:50]}...")
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return events
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def aggregate_stats(date_str: str = None) -> dict:
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"""
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Aggregiert Statistiken aus Events fuer ein Datum.
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Args:
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date_str: Datum im Format YYYY-MM-DD. Default: heute.
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Returns:
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dict: {
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"total_events": int,
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"success_count": int,
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"fail_count": int,
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"ban_count": int,
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"by_proxy": {label: {"success": n, "fail": n, "banned": n}}
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}
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"""
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events = load_events(date_str)
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stats = {
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"total_events": len(events),
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"success_count": 0,
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"fail_count": 0,
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"ban_count": 0,
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"by_proxy": {},
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}
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for event in events:
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outcome = event.get("outcome", "")
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label = event.get("label", "unknown")
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if outcome == "success":
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stats["success_count"] += 1
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elif outcome == "fail":
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stats["fail_count"] += 1
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elif outcome == "banned":
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stats["ban_count"] += 1
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if label not in stats["by_proxy"]:
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stats["by_proxy"][label] = {"success": 0, "fail": 0, "banned": 0}
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if outcome in ("success", "fail", "banned"):
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stats["by_proxy"][label][outcome] += 1
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return stats

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