# Ten31 Signal Engine — pilot dependencies, grouped by pipeline layer.
# Foundation (init-db, seed, spark client) needs only: requests, PyYAML, numpy.

# --- core / foundation ---
requests>=2.31
PyYAML>=6.0
numpy>=1.26

# --- ingestion (§4.1) ---
feedparser>=6.0          # podcast RSS (conditional GET via etag/modified)
yt-dlp>=2025.1           # YouTube audio (needs a PO-token provider sidecar; see README)
edgartools>=3.0          # SEC EDGAR filings (sets UA, throttles ≤10 rps)
# FMP earnings transcripts are plain REST via `requests` (no SDK)

# --- scheduling + queue (§13.4) ---
APScheduler>=3.10

# --- embeddings/vectors (§4.3) — vectors live in Qdrant behind Spark Control ---
qdrant-client>=1.12
fastembed>=0.4           # client-side BM25 sparse vectors (Qdrant/bm25, modifier: idf)

# --- frontier (§4.6), bounded final step ---
anthropic>=0.40

# --- eval UI (§4.7 / human eval) ---
fastapi>=0.110
uvicorn>=0.29