Zakaria
91 lines
2.8 KiB
Python
91 lines
2.8 KiB
Python
import asyncio
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from hermes_cli import web_server
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class _FakeSessionDB:
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"""Fake backing the /api/sessions/search endpoint.
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The endpoint surfaces direct session-id matches first, then FTS message
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matches, deduping both by compression lineage root. This fake has no
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compression chains (get_session returns no parent), so each session is its
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own lineage root.
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"""
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closed = False
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def search_sessions_by_id(self, query, limit=20, include_archived=True):
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assert query == "20260603"
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assert include_archived is True
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return [
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{
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"id": "20260603_090200_exact",
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"preview": "ID match preview",
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"source": "cli",
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"model": "claude",
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"started_at": 100,
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}
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]
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def search_messages(self, query, limit=20):
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assert query == "20260603*"
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return [
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{
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"session_id": "20260603_090200_exact",
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"snippet": "duplicate content hit should not replace ID hit",
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"role": "user",
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"source": "cli",
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"model": "claude",
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"session_started": 100,
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},
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{
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"session_id": "content_session",
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"snippet": "content hit",
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"role": "assistant",
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"source": "desktop",
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"model": "gpt",
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"session_started": 200,
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},
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]
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def get_session(self, session_id):
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# No compression chains in this fixture — every session is its own root.
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return {"id": session_id, "parent_session_id": None}
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def get_compression_tip(self, session_id):
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return session_id
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def close(self):
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self.closed = True
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def test_desktop_session_search_merges_id_matches_before_content_matches(monkeypatch):
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monkeypatch.setattr("hermes_state.SessionDB", _FakeSessionDB)
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response = asyncio.run(web_server.search_sessions(q="20260603", limit=2))
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# ID match surfaces first; the content hit on the SAME session is deduped
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# by lineage root (not double-listed); the unrelated content hit follows.
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assert response == {
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"results": [
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{
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"session_id": "20260603_090200_exact",
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"lineage_root": "20260603_090200_exact",
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"snippet": "ID match preview",
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"role": None,
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"source": "cli",
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"model": "claude",
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"session_started": 100,
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},
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{
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"session_id": "content_session",
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"lineage_root": "content_session",
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"snippet": "content hit",
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"role": "assistant",
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"source": "desktop",
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"model": "gpt",
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"session_started": 200,
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},
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]
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}
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