Remove test_channel_by_id_or_name.py
- Clean up temporary test file that was used for debugging - Keep only the main slack_rag.py application for production use
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import argparse
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import asyncio
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent / "apps"))
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from slack_data.slack_mcp_reader import SlackMCPReader
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async def fetch(
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channel_id: str | None,
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channel_name: str | None,
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workspace_name: str | None,
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query: str,
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search: str | None,
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):
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reader = SlackMCPReader(
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mcp_server_command="slack-mcp-server",
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workspace_name=workspace_name,
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concatenate_conversations=True,
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max_messages_per_conversation=10000000000,
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max_retries=5,
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retry_delay=2.0,
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)
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async with reader:
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print("Connected to Slack MCP server!")
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if channel_name and not channel_id:
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lst = await reader.send_mcp_request(
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{
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"jsonrpc": "2.0",
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"id": 1,
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"method": "tools/call",
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"params": {"name": "channels_list", "arguments": {}},
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}
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)
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text = lst.get("result", {}).get("content", [{"text": ""}])[0]["text"]
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for line in text.splitlines()[1:]:
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if not line.strip():
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continue
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parts = [p.strip() for p in line.split(",")]
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if len(parts) < 2:
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continue
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cid, name = parts[0], parts[1].lstrip("#")
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if name.lower() == channel_name.lower():
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channel_id = cid
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print(f"Resolved channel name #{channel_name} -> {channel_id}")
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break
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if not channel_id:
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print(f"No channel named '{channel_name}' found.")
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return
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if not channel_id:
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print("Provide --channel-id or --channel-name.")
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return
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# If search is provided, try to use a search tool first
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resp = None
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if search:
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try:
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tools = await reader.list_available_tools()
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search_tool = None
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for t in tools:
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name = t.get("name", "").lower()
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if "search" in name and "message" in name:
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search_tool = t["name"]
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break
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if search_tool:
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print(f"Searching with tool '{search_tool}' for: {search}")
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resp = await reader.send_mcp_request(
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{
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"jsonrpc": "2.0",
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"id": 2,
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"method": "tools/call",
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"params": {
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"name": search_tool,
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"arguments": {
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"query": search,
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"channel_id": channel_id,
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"limit": 200,
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},
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},
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}
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)
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else:
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print("Search tool not available, falling back to full history.")
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except Exception as e:
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print(f"Search failed ({e}), falling back to full history.")
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if resp is None:
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print(f"Fetching messages from {channel_id} ...")
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resp = await reader.send_mcp_request(
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{
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"jsonrpc": "2.0",
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"id": 2,
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"method": "tools/call",
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"params": {
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"name": "conversations_history",
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"arguments": {"channel_id": channel_id, "limit": 10000000000},
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},
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}
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)
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if "error" in resp:
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msg = resp["error"].get("message", "Unknown")
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print("Error:", msg)
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if msg in ("not_in_channel", "channel_not_found"):
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print("Tip: invite the bot to the channel: /invite @YourBotName")
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return
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result = resp.get("result", {})
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content = result.get("content")
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text_blob = None
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if isinstance(content, list) and content and "text" in content[0]:
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text_blob = content[0]["text"]
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print(text_blob[:4000])
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else:
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print(result)
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# Simple RAG-style answer with LEANN-focused boosting
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if query and text_blob:
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print("\n" + "=" * 60)
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print("RAG ANSWER")
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print("=" * 60)
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q_terms = [t.strip().lower() for t in query.split() if t.strip()]
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lines = [
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line
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for line in (text_blob.splitlines() if text_blob else [])
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if line and not line.startswith("MsgID,")
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]
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# Score lines by count of query terms present
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scored = []
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boost_terms = {
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"leann": 5,
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"yichuan-w/leann": 4,
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"github.com/yichuan-w/leann": 4,
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"x.com/yichuanm": 3,
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"leann vector": 3,
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}
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for ln in lines:
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ll = ln.lower()
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score = sum(1 for t in q_terms if t in ll)
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for k, b in boost_terms.items():
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if k in ll:
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score += b
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if score > 0:
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scored.append((score, ln))
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scored.sort(key=lambda x: x[0], reverse=True)
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top = [ln for _, ln in scored[:5]]
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if top:
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print(f"Query: {query}")
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print("Relevant messages:")
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for i, ln in enumerate(top, 1):
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print(f" {i}. {ln}")
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leann_hits = [ln for ln in lines if "leann" in ln.lower()][:5]
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if leann_hits:
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print("\nLEANN-focused highlights:")
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for i, ln in enumerate(leann_hits, 1):
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print(f" {i}. {ln}")
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else:
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print(f"Query: {query}")
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print("No directly matching messages found; showing recent context:")
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for i, ln in enumerate(lines[:5], 1):
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print(f" {i}. {ln}")
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--channel-id", default=None)
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ap.add_argument("--channel-name", default=None, help="e.g., random")
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ap.add_argument("--workspace-name", default="Sky Lab Computing")
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ap.add_argument("--query", default="What is LEANN about?", help="Simple RAG-style query")
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ap.add_argument("--search", default=None, help="Server-side message search query")
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args = ap.parse_args()
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asyncio.run(
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fetch(
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args.channel_id,
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args.channel_name,
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args.workspace_name,
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args.query,
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args.search,
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)
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)
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if __name__ == "__main__":
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main()
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