feat(sentiment): complete pipeline overhaul with ONNX priority + LoRA retraining

- Added 30 new sources (5 RSS + 25 Telegram) for previously ZERO-coverage assets
- Fixed model loading priority: ONNX > LoRA v2 > PyTorch > Mock
- ONNX FinBERT (pre-trained on 1.2M financial docs) now PRIMARY - best for real-world text
- LoRA v2 models trained on 518 carefully labeled samples (balanced Bearish/Bullish/Neutral)
- Emotion LoRA v2 trained with weighted loss (greed/fear 2x, joy 1.5x)
- 30 new sources: STX, FET, XTZ, ENJ, ETC, TRX, ONG, DASH, LTC, ZIL, NEAR, APT, SUI, ICP
- Early stopping (patience=3) on both LoRA trainings
- Human-in-the-loop verification CLI tool created
- Disk-conscious: save_total_limit=1, adapters 6-8MB each

Pipeline now correctly classifies:
- BTC breaks 100k → +0.54 Bullish ✅
- Major hack → -0.23 Bearish ✅
- HODL → +0.91 Bullish ✅
- Rug pull → -0.30 Bearish ✅
- SEC sues → -0.30 Bearish ✅
- ETF approval → +0.32 Bullish ✅
- Whale accumulation → +0.31 Bullish ✅

Models: ONNX FinBERT (PRIORITY 1) + LoRA v2 adapters (6-8MB each)
Training data: 518 carefully labeled samples (190 real + 328 synthetic)
Early stopping (patience=3) on both FinBERT and DistilRoBERTa LoRA
Emotion LoRA v2: weighted loss (greed/fear 2x, joy 1.5x) + early stopping

sentiment_engine/pyproject.toml

@@ -0,0 +1,113 @@
+[build-system]
+requires = ["setuptools>=68.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "sentiment-engine"
+version = "2.0.0"
+description = "Real-time sentiment analysis engine for DOLPHIN NG5"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "numpy>=1.26",
+    "pandas>=2.1",
+    "pydantic>=2.7",
+    "pydantic-settings>=2.3",
+    "aiohttp>=3.9",
+    "aiokafka>=0.8",
+    "nats-py>=2.6",
+    "redis>=5.0",
+    "clickhouse-connect>=0.7",
+    "hazelcast-python-client>=5.6",
+    "prefect>=3.0",
+    "feedparser>=6.0",
+    "tweepy>=4.14",
+    "asyncpraw>=7.7",
+    "discord.py>=2.3",
+    "aiogram>=3.4",
+    "transformers>=4.40",
+    "torch>=2.3",
+    "sentence-transformers>=3.0",
+    "spacy>=3.7",
+    "rapidfuzz>=3.7",
+    "fasttext>=0.9",
+    "scikit-learn>=1.4",
+    "scipy>=1.12",
+    "pyyaml>=6.0",
+    "python-dotenv>=1.0",
+    "structlog>=24.1",
+    "opentelemetry-api>=1.24",
+    "opentelemetry-sdk>=1.24",
+    "opentelemetry-exporter-otlp>=1.24",
+    "prometheus-client>=0.19",
+    "pydantic-extra-types>=2.6",
+    "textual>=0.52",
+    "rich>=13.7",
+    "duckdb>=1.0",      # Source catalogue
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=8.0",
+    "pytest-asyncio>=0.23",
+    "pytest-cov>=5.0",
+    "ruff>=0.5",
+    "mypy>=1.10",
+    "pre-commit>=3.7",
+]
+gpu = [
+    "torch[cuda]>=2.3",
+    "sentence-transformers[cuda]>=3.0",
+]
+crawl = [
+    "scrapy>=2.11",
+    "chromedp>=0.0",
+]
+tui = [
+    "textual>=0.52",
+    "rich>=13.7",
+]
+
+[tool.setuptools.packages.find]
+where = ["src"]
+include = ["sentiment_engine*"]
+
+[tool.ruff]
+line-length = 100
+target-version = "py312"
+select = ["E", "F", "I", "UP", "W", "C90", "ANN", "T20", "PTH", "ERA", "PL", "TRY", "PD", "NPY", "PERF", "RET", "ASYNC"]
+ignore = ["ANN101", "ANN102", "ANN201", "ANN202", "ANN204", "T201", "T203"]
+
+[tool.ruff.format]
+quote-style = "double"
+indent-style = "space"
+
+[tool.mypy]
+python_version = "3.12"
+strict = true
+warn_return_any = true
+warn_unused_configs = true
+disallow_untyped_defs = true
+disallow_incomplete_defs = true
+check_untyped_defs = true
+no_implicit_optional = true
+ignore_missing_imports = false
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+testpaths = ["tests"]
+python_files = ["test_*.py"]
+python_classes = ["Test*"]
+python_functions = ["test_*"]
+
+[tool.coverage.run]
+source = ["src/sentiment_engine"]
+omit = ["*/tests/*", "*/conftest.py"]
+
+[tool.coverage.report]
+exclude_lines = [
+    "pragma: no cover",
+    "def __repr__",
+    "raise NotImplementedError",
+    "if __name__ == .__main__.:",
+]