Add ty type checker to CI and fix type errors
- Add ty (Astral's fast Python type checker) to GitHub CI workflow - Fix type annotations across all RAG apps: - Update load_data return types from list[str] to list[dict[str, Any]] - Fix base_rag_example.py to properly handle dict format from create_text_chunks - Fix type errors in leann-core: - chunking_utils.py: Add explicit type annotations - cli.py: Fix return type annotations for PDF extraction functions - interactive_utils.py: Fix readline import type handling - Fix type errors in apps: - wechat_history.py: Fix return type annotations - document_rag.py, code_rag.py: Replace **kwargs with explicit arguments - Add ty configuration to pyproject.toml This resolves the bug introduced in PR #157 where create_text_chunks() changed to return list[dict] but callers were not updated.
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@@ -11,6 +11,7 @@ Usage:
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import argparse
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import asyncio
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from typing import Any
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from apps.base_rag_example import BaseRAGExample
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from apps.twitter_data.twitter_mcp_reader import TwitterMCPReader
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@@ -116,7 +117,7 @@ class TwitterMCPRAG(BaseRAGExample):
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print("5. Try running the MCP server command directly to test it")
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return False
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async def load_data(self, args) -> list[str]:
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async def load_data(self, args) -> list[dict[str, Any]]:
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"""Load Twitter bookmarks via MCP server."""
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print(f"Connecting to Twitter MCP server: {args.mcp_server}")
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