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
This commit is contained in:
aakash
2025-10-18 01:38:16 -07:00
parent 3937e1b143
commit d411c94f21

View File

@@ -1,183 +0,0 @@
import argparse
import asyncio
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent / "apps"))
from slack_data.slack_mcp_reader import SlackMCPReader
async def fetch(
channel_id: str | None,
channel_name: str | None,
workspace_name: str | None,
query: str,
search: str | None,
):
reader = SlackMCPReader(
mcp_server_command="slack-mcp-server",
workspace_name=workspace_name,
concatenate_conversations=True,
max_messages_per_conversation=10000000000,
max_retries=5,
retry_delay=2.0,
)
async with reader:
print("Connected to Slack MCP server!")
if channel_name and not channel_id:
lst = await reader.send_mcp_request(
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {"name": "channels_list", "arguments": {}},
}
)
text = lst.get("result", {}).get("content", [{"text": ""}])[0]["text"]
for line in text.splitlines()[1:]:
if not line.strip():
continue
parts = [p.strip() for p in line.split(",")]
if len(parts) < 2:
continue
cid, name = parts[0], parts[1].lstrip("#")
if name.lower() == channel_name.lower():
channel_id = cid
print(f"Resolved channel name #{channel_name} -> {channel_id}")
break
if not channel_id:
print(f"No channel named '{channel_name}' found.")
return
if not channel_id:
print("Provide --channel-id or --channel-name.")
return
# If search is provided, try to use a search tool first
resp = None
if search:
try:
tools = await reader.list_available_tools()
search_tool = None
for t in tools:
name = t.get("name", "").lower()
if "search" in name and "message" in name:
search_tool = t["name"]
break
if search_tool:
print(f"Searching with tool '{search_tool}' for: {search}")
resp = await reader.send_mcp_request(
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": search_tool,
"arguments": {
"query": search,
"channel_id": channel_id,
"limit": 200,
},
},
}
)
else:
print("Search tool not available, falling back to full history.")
except Exception as e:
print(f"Search failed ({e}), falling back to full history.")
if resp is None:
print(f"Fetching messages from {channel_id} ...")
resp = await reader.send_mcp_request(
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "conversations_history",
"arguments": {"channel_id": channel_id, "limit": 10000000000},
},
}
)
if "error" in resp:
msg = resp["error"].get("message", "Unknown")
print("Error:", msg)
if msg in ("not_in_channel", "channel_not_found"):
print("Tip: invite the bot to the channel: /invite @YourBotName")
return
result = resp.get("result", {})
content = result.get("content")
text_blob = None
if isinstance(content, list) and content and "text" in content[0]:
text_blob = content[0]["text"]
print(text_blob[:4000])
else:
print(result)
# Simple RAG-style answer with LEANN-focused boosting
if query and text_blob:
print("\n" + "=" * 60)
print("RAG ANSWER")
print("=" * 60)
q_terms = [t.strip().lower() for t in query.split() if t.strip()]
lines = [
line
for line in (text_blob.splitlines() if text_blob else [])
if line and not line.startswith("MsgID,")
]
# Score lines by count of query terms present
scored = []
boost_terms = {
"leann": 5,
"yichuan-w/leann": 4,
"github.com/yichuan-w/leann": 4,
"x.com/yichuanm": 3,
"leann vector": 3,
}
for ln in lines:
ll = ln.lower()
score = sum(1 for t in q_terms if t in ll)
for k, b in boost_terms.items():
if k in ll:
score += b
if score > 0:
scored.append((score, ln))
scored.sort(key=lambda x: x[0], reverse=True)
top = [ln for _, ln in scored[:5]]
if top:
print(f"Query: {query}")
print("Relevant messages:")
for i, ln in enumerate(top, 1):
print(f" {i}. {ln}")
leann_hits = [ln for ln in lines if "leann" in ln.lower()][:5]
if leann_hits:
print("\nLEANN-focused highlights:")
for i, ln in enumerate(leann_hits, 1):
print(f" {i}. {ln}")
else:
print(f"Query: {query}")
print("No directly matching messages found; showing recent context:")
for i, ln in enumerate(lines[:5], 1):
print(f" {i}. {ln}")
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--channel-id", default=None)
ap.add_argument("--channel-name", default=None, help="e.g., random")
ap.add_argument("--workspace-name", default="Sky Lab Computing")
ap.add_argument("--query", default="What is LEANN about?", help="Simple RAG-style query")
ap.add_argument("--search", default=None, help="Server-side message search query")
args = ap.parse_args()
asyncio.run(
fetch(
args.channel_id,
args.channel_name,
args.workspace_name,
args.query,
args.search,
)
)
if __name__ == "__main__":
main()