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54884f3e24
Feed-health pass over KOL_FEEDS: - raoulpal: stale Substack (last 2024-05) → Real Vision podcast feed - dampedspring: paywalled (0 entries) → free "Damped Spring 101" Substack - unchained: Cloudflare 403 → canonical Megaphone podcast feed - lynalden: Cloudflare 202 → FeedBurner mirror - glassnode: recovered via httpx http2=True (was 403 on HTTP/1.1) - browser User-Agent + Accept headers on feed fetch - removed dead feeds with no active replacement: placeholder, dragonfly, niccarter, eugene - pin h2==4.3.0 (required by http2=True) All 25 remaining feeds verified fetching real body content; newest post per feed ≤88d. Bundles in-flight KOL-module work already in the working tree (kol_x ingest, migration 027, tests). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
106 lines
5.7 KiB
Python
106 lines
5.7 KiB
Python
from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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database_url: str
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frontend_url: str = "http://localhost:3001"
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truth_social_rss: str = "https://truthsocial.com/@realDonaldTrump.rss"
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truth_social_poll_seconds: int = 15
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# WS URL is now built programmatically in binance.py from ASSET_MAP so the
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# stream list and the routing table are always in sync. This setting is kept
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# for external callers that still reference it; binance.py ignores it.
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binance_ws_url: str = "wss://data-stream.binance.vision/stream" # base only
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binance_rest_url: str = "https://data-api.binance.vision"
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environment: str = "production"
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ai_api_key: str = ""
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ai_base_url: str = "https://api.deepseek.com/v1"
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ai_model: str = "deepseek-v4-pro" # batch / reanalysis (quality over speed)
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ai_live_model: str = "deepseek-v4-flash" # live post analysis (latency-sensitive, ~2s)
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# Native Anthropic API key — if set, takes priority over ai_api_key + ai_base_url.
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# Get from https://console.anthropic.com → API Keys
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anthropic_api_key: str = ""
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# Hyperliquid — API wallet private key (NOT your MetaMask key)
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# Created at https://app.hyperliquid.xyz/API and authorized by MetaMask
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hl_api_private_key: str = ""
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# Your MetaMask address — this is the actual account holding USDC/positions
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hl_account_address: str = ""
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# BTC perp leverage (1–50x isolated margin)
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hl_leverage: int = 3
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# Trade mainnet (True) or testnet (False)
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hl_mainnet: bool = True
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# KEK for envelope-encrypting HL API keys at rest.
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# Generate with: openssl rand -hex 32
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encryption_key: str = ""
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# Shared secret for /api/signals/ingest — external trading modules pass it
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# in the X-Ingest-Key header. Empty (default) = ingest endpoint is REJECTED
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# entirely until a key is configured (fail-closed).
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ingest_api_key: str = ""
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# Base URL for internal signal ingest (used by scanners). In Docker, set to
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# the service name (e.g. http://api:8000); bare-metal defaults to localhost.
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ingest_base_url: str = "http://localhost:8000"
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# Glassnode on-chain data. Used only by the BTC bottom-reversal state
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# machine (MVRV-Z + STH-SOPR). Empty = scanner logs and skips fail-closed.
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glassnode_api_key: str = ""
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# Etherscan API key — free at etherscan.io/register → My API Keys.
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# Used for KOL A-tier: fetch all ERC-20 token balances for a given ETH address.
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# Empty = skip Ethereum wallet snapshots (only HL perp positions polled).
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etherscan_api_key: str = ""
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# ── Telegram push alerts ─────────────────────────────────────────────────
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# Bot token from @BotFather (https://t.me/BotFather → /newbot). Free.
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# Empty (default) = Telegram alerts disabled completely (bot loop skipped,
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# notify_signal becomes a no-op, API endpoints return 503).
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telegram_bot_token: str = ""
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# Bot username (no @) — used by the Settings UI to render the deep link
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# t.me/<username>?start=<code>. Example: "trumpalpha_bot".
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telegram_bot_username: str = ""
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# Public broadcast channel chat_id (e.g. "-1001234567890" or "@trumpalpha").
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# When set, every actionable signal is also posted here in sanitised form
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# (no trading details, no /adopt CTA). Leave empty to disable.
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telegram_public_channel_id: str = ""
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# ── X (Twitter) auto-poster ──────────────────────────────────────────────
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# OAuth 1.0a User Context — for posting from a single fixed bot account
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# (@TrumpAlpha_signals). Get all four from developer.x.com → your App →
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# "Keys and tokens". App permissions MUST be "Read and Write", and the
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# Access Token/Secret must be regenerated AFTER setting write permission.
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# Bearer Token / Client ID / Client Secret are NOT used (those are read /
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# OAuth2 web-flow credentials). Empty = X posting disabled (no-op).
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x_api_key: str = "" # = Consumer Key
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x_api_secret: str = "" # = Consumer Secret
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x_access_token: str = ""
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x_access_secret: str = ""
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# Master switch. Even with keys set, posting stays off unless this is true.
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# Lets you load creds without going live (dry-run = logs the tweet text).
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x_enabled: bool = False
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# Only post when ai_confidence >= this (0–100). Keeps low-quality noise off
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# the public timeline. Scanner signals carry their own score.
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x_min_confidence: int = 60
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# Hard daily cap on tweets (initial + follow-ups counted together) to stay
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# under Free-tier 1,500/mo and avoid spam flags. In-memory, resets at UTC
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# midnight. Single-process by design so a plain counter is safe.
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x_daily_cap: int = 40
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# Minutes after the initial prediction tweet to post the result follow-up.
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x_followup_minutes: int = 15
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# Public site URL appended to the follow-up tweet. Falls back to frontend_url.
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x_link_url: str = ""
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# ── X (Twitter) READ — KOL tweet ingestion (separate from the poster above) ──
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# twitterapi.io managed-scraper key, sent as the `x-api-key` header. Powers
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# kol_x.py: polls each tracked KOL's recent tweets → x_analysis.analyze_x_post
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# → KolPost(source="twitter") → kol_divergence. This is READ-ONLY third-party
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# data and is UNRELATED to the OAuth 1.0a poster creds above (those write our
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# own tweets; this reads other people's). Empty = X ingestion disabled (no-op).
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# Get a pay-as-you-go key at twitterapi.io (~$0.15 / 1k tweets).
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twitterapi_io_key: str = ""
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model_config = {"env_file": ".env", "env_file_encoding": "utf-8", "extra": "ignore"}
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settings = Settings()
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