浅念
73 lines
3.3 KiB
Python
73 lines
3.3 KiB
Python
from functools import lru_cache
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from pathlib import Path
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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"""Application settings sourced from environment / .env file."""
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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extra="ignore",
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)
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yunke_base_url: str = "https://crm2.yunkecn.com"
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yunke_username: str = ""
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yunke_password: str = ""
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db_url: str = "mysql+asyncmy://user:pass@localhost:3306/yunke"
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redis_url: str = "redis://localhost:6379/0"
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media_dir: Path = Path("./media")
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# Fernet key for encrypting stored credentials. Required for real runs;
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# empty default lets tests construct Settings without a key.
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encryption_key: str = ""
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# Existing-session creds (optional; bypasses programmatic login — e.g. for
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# validation with a live browser session). Read from .env / environment.
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yk_userid: str = ""
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yk_company: str = ""
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yk_cookie: str = ""
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# Shared bearer token for the viewing API. Empty (default) -> auth DISABLED
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# (we trust the network boundary; this is a local/intranet tool). When set,
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# every API request must present this value via ``Authorization: Bearer
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# <token>`` or ``?token=<token>``. See app/api/auth.py.
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api_token: str = ""
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# --- Anti-risk-control / stealth tuning ---------------------------------
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# Tuned 2026-08-11 after triggering 风控 during a heavy session (~500+
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# consecutive requests across groups/WA/voice-clips/SMS in ~1 hour).
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# The previous defaults (1.0s + 0.8s jitter = ~1.0..1.8s cadence) were
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# fast enough to trigger 云客's volume-based risk control when many
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# entities are synced back-to-back. New strategy: slower base cadence +
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# larger jitter (human-like irregularity) + hard per-run cap + longer
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# backoff with more retries (patience over aggression).
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# See app.session.yunke_client for the implementation.
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# Lower bound on seconds between successive upstream requests.
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# 2.0s base — roughly mimics a human clicking through pages (not a bot
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# hammering at 1 req/s). Combined with jitter this gives ~2.0..4.5s cadence.
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request_min_interval: float = 2.0
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# Random extra 0..jitter seconds. Large jitter (2.5s) ensures the cadence
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# is highly irregular — no periodic signature for 云客 to fingerprint.
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request_jitter: float = 2.5
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# Hard cap: 300 requests per run (~10 minutes at 2s avg). Prevents a
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# runaway sync from hammering 云客 for hours. 0 = unlimited (only for
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# manual debugging). A daily `sync --entity all` will likely need multiple
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# runs (or increase this cap) — by design, to stay under 风控 radar.
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max_requests_per_run: int = 300
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# Exponential backoff: start at 5s, double each retry, cap at 120s.
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# More patient than the old 2s/60s/4 — gives 云客 time to cool down.
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risk_backoff_base: float = 5.0
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risk_backoff_max: float = 120.0
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# 6 retries (was 4) — more chances to recover before giving up.
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# Total worst-case backoff: 5+10+20+40+80+120 = 275s (~4.6 min) before
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# the final attempt; generous recovery window.
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risk_backoff_attempts: int = 6
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@lru_cache
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def get_settings() -> Settings:
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"""Return the process-wide Settings singleton."""
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return Settings()
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