File size: 4,375 Bytes
b3b12cd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | """AgentPulse — global configuration.
All API credentials are read from environment variables. No keys are
embedded in source. Copy `.env.example` to `.env` and fill in values
to enable authenticated API paths (without auth, public-rate-limit
collection still works).
"""
import os
from pathlib import Path
# ───────────────────────────────────────────────────────────────────────────────
# Storage
# ───────────────────────────────────────────────────────────────────────────────
DB_PATH = Path(__file__).parent / "data" / "agentpulse.db"
DB_PATH.parent.mkdir(parents=True, exist_ok=True)
# ───────────────────────────────────────────────────────────────────────────────
# API credentials (all optional; collectors fall back to public endpoints)
# ───────────────────────────────────────────────────────────────────────────────
GITHUB_TOKEN = os.getenv("GITHUB_TOKEN", "")
HUGGINGFACE_TOKEN = os.getenv("HUGGINGFACE_TOKEN", "")
REDDIT_CLIENT_ID = os.getenv("REDDIT_CLIENT_ID", "")
REDDIT_CLIENT_SECRET = os.getenv("REDDIT_CLIENT_SECRET", "")
REDDIT_USER_AGENT = os.getenv("REDDIT_USER_AGENT", "agentpulse/0.1")
BLUESKY_HANDLE = os.getenv("BLUESKY_HANDLE", "")
BLUESKY_PASSWORD = os.getenv("BLUESKY_PASSWORD", "")
TWITTER_BEARER_TOKEN = os.getenv("TWITTER_BEARER_TOKEN", "")
OPENROUTER_API_KEY = os.getenv("OPENROUTER_API_KEY", "")
# ───────────────────────────────────────────────────────────────────────────────
# Collection cadence (per-collector overrides supported via env)
# ───────────────────────────────────────────────────────────────────────────────
DEFAULT_INTERVAL_MIN = int(os.getenv("AP_INTERVAL_MIN", "60"))
BENCHMARK_INTERVAL_HR = int(os.getenv("AP_BENCH_INTERVAL_HR", "24"))
GITHUB_INTERVAL_HR = int(os.getenv("AP_GH_INTERVAL_HR", "6"))
SOCIAL_INTERVAL_MIN = int(os.getenv("AP_SOCIAL_INTERVAL_MIN", "30"))
# ───────────────────────────────────────────────────────────────────────────────
# Scoring / composite weights (override the paper defaults via env)
# ───────────────────────────────────────────────────────────────────────────────
W_BENCHMARK = float(os.getenv("AP_W_BENCHMARK", "0.35"))
W_ADOPTION = float(os.getenv("AP_W_ADOPTION", "0.25"))
W_SENTIMENT = float(os.getenv("AP_W_SENTIMENT", "0.20"))
W_ECOSYSTEM = float(os.getenv("AP_W_ECOSYSTEM", "0.20"))
# ───────────────────────────────────────────────────────────────────────────────
# Data quality thresholds (Section 3 / Appendix A)
# ───────────────────────────────────────────────────────────────────────────────
DQ_THRESHOLD = float(os.getenv("AP_DQ_THRESHOLD", "0.30"))
DQ_THETA_UNIQ = 0.30
DQ_THETA_BOT = 0.20
DQ_THETA_CRED = 0.20
DQ_THETA_SPEC = 0.30
DQ_NEAR_DUP_TAU = 0.85
DQ_DUP_WINDOW_DAYS = 7
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