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supermemory/data-generator/test_planner.py
Dhravya cba994be3f feat: add eval corpus data generator 
7-phase pipeline for generating synthetic multi-file corpora:
1. Scenario Brief (SCENARIO.md) - world-building
2. Fact Registry (facts.json) - consistency source of truth
3. File Manifest (manifest.json) - per-file briefs
4. Clustering - topological sort + fact registry sharding
5. Parallel File Generation - concurrent workers
6. Validation - cross-reference & consistency audit
7. Question Generation - 10 eval questions per corpus

Supports all 13 data points (dp_001 through dp_013, 5 to 10,000 files).
Uses Gemini 2.5 Pro by default. Includes resume support, validation,
and 219 unit tests.
2026-04-28 23:24:42 +00:00

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"""Tests for planner.py — the planning module for the eval corpus data generator."""
from __future__ import annotations
import asyncio
import json
from pathlib import Path
from typing import Any
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
# Import the module under test
import planner
# ---------------------------------------------------------------------------
# Fixtures
# ---------------------------------------------------------------------------
SAMPLE_SCENARIO_BLOCK = """\
dp_001: A small tech startup "Acme Labs" with 5 employees planning a product launch.
The CEO (Alice Smith), CTO (Bob Jones), and designer (Carol Lee) exchange emails,
Slack messages, and meeting notes over 3 weeks. Key decisions include pricing ($49/mo),
launch date (2025-03-15), and venue (Hilton Downtown, Room 301).
"""
SAMPLE_BRIEF = """\
# SCENARIO.md — dp_001
## 1. Overview
Scenario ID: dp_001
File count: 10
Time span: 2025-02-20 to 2025-03-15
Setting: Acme Labs, San Francisco
## 2. Cast of Characters
- alice_smith: Alice Smith, CEO, alice@acmelabs.com
- bob_jones: Bob Jones, CTO, bob@acmelabs.com
- carol_lee: Carol Lee, Designer, carol@acmelabs.com
## 3. Organizations
- Acme Labs: Tech startup, San Francisco
## 4. Timeline
- 2025-02-20: Kickoff meeting
- 2025-03-01: Pricing decision ($49/mo)
- 2025-03-15: Launch event at Hilton Downtown
## 5. Locked Facts Registry
- price_monthly: $49.00/mo
- launch_date: 2025-03-15
- venue: Hilton Downtown, Room 301
"""
SAMPLE_FACT_REGISTRY = {
"scenario_id": "dp_001",
"people": [
{
"id": "alice_smith",
"full_name": "Alice Smith",
"role": "CEO, Acme Labs",
"email": "alice@acmelabs.com",
"timezone": "America/Los_Angeles",
"location": "San Francisco, CA",
"traits": ["decisive", "formal writer"],
"writing_style": "Concise, professional emails",
"relationships": {"bob_jones": "direct report"},
},
{
"id": "bob_jones",
"full_name": "Bob Jones",
"role": "CTO, Acme Labs",
"email": "bob@acmelabs.com",
"timezone": "America/Los_Angeles",
"location": "San Francisco, CA",
"traits": ["technical", "uses jargon"],
"writing_style": "Detailed technical prose",
"relationships": {"alice_smith": "reports to"},
},
],
"organizations": [
{
"id": "acme_labs",
"name": "Acme Labs",
"type": "company",
"location": "San Francisco, CA",
"details": {"industry": "tech"},
}
],
"dates": [
{
"id": "kickoff_meeting",
"date": "2025-02-20",
"event": "Kickoff meeting",
"participants": ["alice_smith", "bob_jones"],
"files": ["f001", "f002"],
}
],
"financial": [
{
"id": "price_monthly",
"value": "$49.00",
"description": "Monthly subscription price",
"files": ["f003", "f005"],
}
],
"references": [],
"locations": [
{
"id": "hilton_downtown",
"name": "Hilton Downtown",
"address": "123 Market St, San Francisco, CA",
"type": "hotel",
"details": {"room": "301"},
"files": ["f004"],
}
],
"domain_facts": [],
"cross_references": [
{
"source_file": "f001",
"target_file": "f002",
"fact_ids": ["kickoff_meeting"],
"description": "Meeting notes reference email thread",
}
],
}
SAMPLE_MANIFEST_ENTRY = {
"file_id": "f001",
"path": "data/emails/kickoff_thread.eml",
"format": "email_thread",
"authors": ["alice_smith", "bob_jones"],
"date": "2025-02-20",
"target_tokens": [6000, 8000],
"locked_facts": ["kickoff_meeting", "price_monthly"],
"cross_references": ["f002", "f003"],
"cluster_hint": "communications",
"brief": "Email thread between Alice and Bob discussing the kickoff meeting. Contains pricing decisions.",
"tone": "formal",
"format_notes": "Standard email headers, threaded replies",
}
def _make_manifest(count: int) -> list[dict]:
"""Create a list of sample manifest entries."""
entries = []
for i in range(count):
entry = dict(SAMPLE_MANIFEST_ENTRY)
entry["file_id"] = f"f{i + 1:03d}"
entry["path"] = f"data/files/file_{i + 1:03d}.md"
entry["cross_references"] = []
entries.append(entry)
return entries
# ---------------------------------------------------------------------------
# Validation helpers tests
# ---------------------------------------------------------------------------
class TestValidateFactRegistry:
def test_valid_registry(self):
result = planner._validate_fact_registry(SAMPLE_FACT_REGISTRY)
assert result is SAMPLE_FACT_REGISTRY
def test_missing_people_key(self):
bad = {"organizations": [], "dates": []}
with pytest.raises(ValueError, match="missing required keys"):
planner._validate_fact_registry(bad)
def test_missing_organizations_key(self):
bad = {"people": [], "dates": []}
with pytest.raises(ValueError, match="missing required keys"):
planner._validate_fact_registry(bad)
def test_missing_dates_key(self):
bad = {"people": [], "organizations": []}
with pytest.raises(ValueError, match="missing required keys"):
planner._validate_fact_registry(bad)
def test_person_missing_id(self):
bad = {
"people": [{"full_name": "No ID"}],
"organizations": [],
"dates": [],
}
with pytest.raises(ValueError, match="missing 'id'"):
planner._validate_fact_registry(bad)
class TestValidateManifestEntry:
def test_valid_entry(self):
warnings = planner._validate_manifest_entry(SAMPLE_MANIFEST_ENTRY, 0)
assert warnings == []
def test_missing_fields(self):
warnings = planner._validate_manifest_entry({"file_id": "f001"}, 0)
assert any("missing fields" in w for w in warnings)
def test_tokens_out_of_range(self):
entry = dict(SAMPLE_MANIFEST_ENTRY)
entry["target_tokens"] = [1000, 20000]
warnings = planner._validate_manifest_entry(entry, 0)
assert any("outside [5000, 10000]" in w for w in warnings)
def test_tokens_min_gt_max(self):
entry = dict(SAMPLE_MANIFEST_ENTRY)
entry["target_tokens"] = [9000, 6000]
warnings = planner._validate_manifest_entry(entry, 0)
assert any("min > max" in w for w in warnings)
def test_tokens_valid_boundary(self):
entry = dict(SAMPLE_MANIFEST_ENTRY)
entry["target_tokens"] = [5000, 10000]
warnings = planner._validate_manifest_entry(entry, 0)
assert warnings == []
def test_tokens_malformed(self):
entry = dict(SAMPLE_MANIFEST_ENTRY)
entry["target_tokens"] = "not a list"
warnings = planner._validate_manifest_entry(entry, 0)
assert any("malformed" in w for w in warnings)
class TestRenumberManifest:
def test_sequential_renumbering(self):
entries = [
{"file_id": "f010", "cross_references": ["f020"]},
{"file_id": "f020", "cross_references": ["f010"]},
{"file_id": "f030", "cross_references": []},
]
result = planner._renumber_manifest(entries)
assert result[0]["file_id"] == "f001"
assert result[1]["file_id"] == "f002"
assert result[2]["file_id"] == "f003"
def test_cross_references_updated(self):
entries = [
{"file_id": "f010", "cross_references": ["f020", "f030"]},
{"file_id": "f020", "cross_references": ["f010"]},
{"file_id": "f030", "cross_references": ["f010"]},
]
result = planner._renumber_manifest(entries)
assert result[0]["cross_references"] == ["f002", "f003"]
assert result[1]["cross_references"] == ["f001"]
assert result[2]["cross_references"] == ["f001"]
def test_unknown_references_preserved(self):
entries = [
{"file_id": "f001", "cross_references": ["f999"]},
]
result = planner._renumber_manifest(entries)
# f999 is not in the manifest, so it stays as-is
assert result[0]["cross_references"] == ["f999"]
def test_empty_manifest(self):
result = planner._renumber_manifest([])
assert result == []
class TestValidateManifest:
def test_valid_manifest(self):
manifest = _make_manifest(3)
result = planner._validate_manifest(manifest)
assert len(result) == 3
def test_warnings_logged(self, caplog):
bad_entry = {"file_id": "f001"} # missing most fields
with caplog.at_level("WARNING"):
planner._validate_manifest([bad_entry])
assert "missing fields" in caplog.text
# ---------------------------------------------------------------------------
# Phase 1 tests
# ---------------------------------------------------------------------------
class TestGenerateScenarioBrief:
@pytest.mark.asyncio
async def test_generates_and_writes_file(self, tmp_path):
with patch("planner.llm_call", new_callable=AsyncMock) as mock_llm:
mock_llm.return_value = SAMPLE_BRIEF
result = await planner.generate_scenario_brief(
SAMPLE_SCENARIO_BLOCK, 10, tmp_path
)
assert result == SAMPLE_BRIEF
assert (tmp_path / "SCENARIO.md").exists()
assert (tmp_path / "SCENARIO.md").read_text() == SAMPLE_BRIEF
mock_llm.assert_called_once()
@pytest.mark.asyncio
async def test_resume_skips_existing(self, tmp_path):
# Pre-create SCENARIO.md
(tmp_path / "SCENARIO.md").write_text("existing brief")
with patch("planner.llm_call", new_callable=AsyncMock) as mock_llm:
result = await planner.generate_scenario_brief(
SAMPLE_SCENARIO_BLOCK, 10, tmp_path
)
assert result == "existing brief"
mock_llm.assert_not_called()
@pytest.mark.asyncio
async def test_passes_correct_model(self, tmp_path):
with patch("planner.llm_call", new_callable=AsyncMock) as mock_llm:
mock_llm.return_value = "brief"
await planner.generate_scenario_brief(
SAMPLE_SCENARIO_BLOCK, 10, tmp_path, model="custom/model"
)
call_kwargs = mock_llm.call_args
assert call_kwargs.kwargs["model"] == "custom/model"
@pytest.mark.asyncio
async def test_uses_scenario_brief_system_prompt(self, tmp_path):
with patch("planner.llm_call", new_callable=AsyncMock) as mock_llm:
mock_llm.return_value = "brief"
await planner.generate_scenario_brief(
SAMPLE_SCENARIO_BLOCK, 10, tmp_path
)
call_kwargs = mock_llm.call_args
assert call_kwargs.kwargs["system"] == planner.SCENARIO_BRIEF_SYSTEM
# ---------------------------------------------------------------------------
# Phase 2 tests
# ---------------------------------------------------------------------------
class TestExtractFactRegistry:
@pytest.mark.asyncio
async def test_extracts_and_writes_file(self, tmp_path):
with patch("planner.llm_call_json", new_callable=AsyncMock) as mock_llm:
mock_llm.return_value = SAMPLE_FACT_REGISTRY
result = await planner.extract_fact_registry(SAMPLE_BRIEF, tmp_path)
assert result == SAMPLE_FACT_REGISTRY
assert (tmp_path / "facts.json").exists()
saved = json.loads((tmp_path / "facts.json").read_text())
assert saved["scenario_id"] == "dp_001"
mock_llm.assert_called_once()
@pytest.mark.asyncio
async def test_resume_skips_existing(self, tmp_path):
(tmp_path / "facts.json").write_text(json.dumps(SAMPLE_FACT_REGISTRY))
with patch("planner.llm_call_json", new_callable=AsyncMock) as mock_llm:
result = await planner.extract_fact_registry(SAMPLE_BRIEF, tmp_path)
assert result["scenario_id"] == "dp_001"
mock_llm.assert_not_called()
@pytest.mark.asyncio
async def test_unwraps_nested_response(self, tmp_path):
"""LLM might return {"result": {actual registry}}."""
wrapped = {"result": SAMPLE_FACT_REGISTRY}
with patch("planner.llm_call_json", new_callable=AsyncMock) as mock_llm:
mock_llm.return_value = wrapped
result = await planner.extract_fact_registry(SAMPLE_BRIEF, tmp_path)
assert result["scenario_id"] == "dp_001"
@pytest.mark.asyncio
async def test_validation_fails_on_bad_registry(self, tmp_path):
bad_registry = {"not_valid": True}
with patch("planner.llm_call_json", new_callable=AsyncMock) as mock_llm:
mock_llm.return_value = bad_registry
with pytest.raises(ValueError, match="missing required keys"):
await planner.extract_fact_registry(SAMPLE_BRIEF, tmp_path)
@pytest.mark.asyncio
async def test_uses_fact_registry_system_prompt(self, tmp_path):
with patch("planner.llm_call_json", new_callable=AsyncMock) as mock_llm:
mock_llm.return_value = SAMPLE_FACT_REGISTRY
await planner.extract_fact_registry(SAMPLE_BRIEF, tmp_path)
call_kwargs = mock_llm.call_args
assert call_kwargs.kwargs["system"] == planner.FACT_REGISTRY_SYSTEM
# ---------------------------------------------------------------------------
# Phase 3 tests
# ---------------------------------------------------------------------------
class TestGenerateManifest:
@pytest.mark.asyncio
async def test_small_manifest_single_call(self, tmp_path):
manifest = _make_manifest(10)
with patch("planner.llm_call_json", new_callable=AsyncMock) as mock_llm:
mock_llm.return_value = manifest
result = await planner.generate_manifest(
SAMPLE_BRIEF, SAMPLE_FACT_REGISTRY, 10, tmp_path
)
assert len(result) == 10
assert result[0]["file_id"] == "f001"
assert (tmp_path / "manifest.json").exists()
mock_llm.assert_called_once()
@pytest.mark.asyncio
async def test_small_manifest_unwraps_dict(self, tmp_path):
"""LLM might return {"files": [...]} instead of bare array."""
manifest = _make_manifest(5)
wrapped = {"files": manifest}
with patch("planner.llm_call_json", new_callable=AsyncMock) as mock_llm:
mock_llm.return_value = wrapped
result = await planner.generate_manifest(
SAMPLE_BRIEF, SAMPLE_FACT_REGISTRY, 5, tmp_path
)
assert len(result) == 5
@pytest.mark.asyncio
async def test_resume_skips_existing(self, tmp_path):
manifest = _make_manifest(10)
(tmp_path / "manifest.json").write_text(json.dumps(manifest))
with patch("planner.llm_call_json", new_callable=AsyncMock) as mock_llm:
result = await planner.generate_manifest(
SAMPLE_BRIEF, SAMPLE_FACT_REGISTRY, 10, tmp_path
)
assert len(result) == 10
mock_llm.assert_not_called()
@pytest.mark.asyncio
async def test_resume_unwraps_files_key(self, tmp_path):
manifest = _make_manifest(5)
(tmp_path / "manifest.json").write_text(json.dumps({"files": manifest}))
with patch("planner.llm_call_json", new_callable=AsyncMock) as mock_llm:
result = await planner.generate_manifest(
SAMPLE_BRIEF, SAMPLE_FACT_REGISTRY, 5, tmp_path
)
assert len(result) == 5
mock_llm.assert_not_called()
@pytest.mark.asyncio
async def test_large_manifest_chunked(self, tmp_path):
"""Corpora > 50 files should use chunked generation."""
outline = {
"sections": [
{
"name": "Section A",
"cluster_hint": "section_a",
"file_count": 30,
"description": "First section",
},
{
"name": "Section B",
"cluster_hint": "section_b",
"file_count": 30,
"description": "Second section",
},
]
}
section_a_entries = _make_manifest(30)
section_b_entries = _make_manifest(30)
with patch("planner.llm_call_json", new_callable=AsyncMock) as mock_llm:
# First call returns outline, next two return section entries
mock_llm.side_effect = [outline, section_a_entries, section_b_entries]
result = await planner.generate_manifest(
SAMPLE_BRIEF, SAMPLE_FACT_REGISTRY, 60, tmp_path
)
assert len(result) == 60
# Should have been called 3 times: outline + 2 sections
assert mock_llm.call_count == 3
# Verify sequential numbering
assert result[0]["file_id"] == "f001"
assert result[29]["file_id"] == "f030"
assert result[30]["file_id"] == "f031"
assert result[59]["file_id"] == "f060"
@pytest.mark.asyncio
async def test_large_manifest_adjusts_file_count(self, tmp_path):
"""If outline section counts don't add up, the last section is adjusted."""
outline = {
"sections": [
{
"name": "Section A",
"cluster_hint": "section_a",
"file_count": 25,
"description": "First section",
},
{
"name": "Section B",
"cluster_hint": "section_b",
"file_count": 24, # total=49, should be 55
"description": "Second section",
},
]
}
section_a_entries = _make_manifest(25)
section_b_entries = _make_manifest(30) # adjusted to 30
with patch("planner.llm_call_json", new_callable=AsyncMock) as mock_llm:
mock_llm.side_effect = [outline, section_a_entries, section_b_entries]
result = await planner.generate_manifest(
SAMPLE_BRIEF, SAMPLE_FACT_REGISTRY, 55, tmp_path
)
# Outline call should have adjusted Section B to 30
assert mock_llm.call_count == 3
# ---------------------------------------------------------------------------
# Orchestrator tests
# ---------------------------------------------------------------------------
class TestRunPlanning:
@pytest.mark.asyncio
async def test_runs_all_three_phases(self, tmp_path):
manifest = _make_manifest(10)
with patch("planner.llm_call", new_callable=AsyncMock) as mock_text, \
patch("planner.llm_call_json", new_callable=AsyncMock) as mock_json:
mock_text.return_value = SAMPLE_BRIEF
mock_json.side_effect = [SAMPLE_FACT_REGISTRY, manifest]
brief, facts, result_manifest = await planner.run_planning(
SAMPLE_SCENARIO_BLOCK, 10, tmp_path
)
assert brief == SAMPLE_BRIEF
assert facts == SAMPLE_FACT_REGISTRY
assert len(result_manifest) == 10
assert (tmp_path / "SCENARIO.md").exists()
assert (tmp_path / "facts.json").exists()
assert (tmp_path / "manifest.json").exists()
@pytest.mark.asyncio
async def test_creates_output_dir(self, tmp_path):
out = tmp_path / "nested" / "output"
manifest = _make_manifest(5)
with patch("planner.llm_call", new_callable=AsyncMock) as mock_text, \
patch("planner.llm_call_json", new_callable=AsyncMock) as mock_json:
mock_text.return_value = SAMPLE_BRIEF
mock_json.side_effect = [SAMPLE_FACT_REGISTRY, manifest]
await planner.run_planning(SAMPLE_SCENARIO_BLOCK, 5, out)
assert out.exists()
assert (out / "SCENARIO.md").exists()
@pytest.mark.asyncio
async def test_resumes_from_phase2(self, tmp_path):
"""If SCENARIO.md exists, skip Phase 1 and continue."""
(tmp_path / "SCENARIO.md").write_text(SAMPLE_BRIEF)
manifest = _make_manifest(10)
with patch("planner.llm_call", new_callable=AsyncMock) as mock_text, \
patch("planner.llm_call_json", new_callable=AsyncMock) as mock_json:
mock_json.side_effect = [SAMPLE_FACT_REGISTRY, manifest]
brief, facts, result_manifest = await planner.run_planning(
SAMPLE_SCENARIO_BLOCK, 10, tmp_path
)
# Phase 1 LLM call should NOT have been made
mock_text.assert_not_called()
assert brief == SAMPLE_BRIEF
@pytest.mark.asyncio
async def test_resumes_from_phase3(self, tmp_path):
"""If SCENARIO.md and facts.json exist, skip Phases 1 and 2."""
(tmp_path / "SCENARIO.md").write_text(SAMPLE_BRIEF)
(tmp_path / "facts.json").write_text(json.dumps(SAMPLE_FACT_REGISTRY))
manifest = _make_manifest(10)
with patch("planner.llm_call", new_callable=AsyncMock) as mock_text, \
patch("planner.llm_call_json", new_callable=AsyncMock) as mock_json:
mock_json.side_effect = [manifest]
brief, facts, result_manifest = await planner.run_planning(
SAMPLE_SCENARIO_BLOCK, 10, tmp_path
)
mock_text.assert_not_called()
# Only one json call (manifest), not two
assert mock_json.call_count == 1
@pytest.mark.asyncio
async def test_full_resume(self, tmp_path):
"""If all artifacts exist, no LLM calls made at all."""
(tmp_path / "SCENARIO.md").write_text(SAMPLE_BRIEF)
(tmp_path / "facts.json").write_text(json.dumps(SAMPLE_FACT_REGISTRY))
manifest = _make_manifest(10)
(tmp_path / "manifest.json").write_text(json.dumps(manifest))
with patch("planner.llm_call", new_callable=AsyncMock) as mock_text, \
patch("planner.llm_call_json", new_callable=AsyncMock) as mock_json:
brief, facts, result_manifest = await planner.run_planning(
SAMPLE_SCENARIO_BLOCK, 10, tmp_path
)
mock_text.assert_not_called()
mock_json.assert_not_called()
assert brief == SAMPLE_BRIEF
assert len(result_manifest) == 10
# ---------------------------------------------------------------------------
# Constants tests
# ---------------------------------------------------------------------------
class TestConstants:
def test_large_corpus_threshold(self):
assert planner.LARGE_CORPUS_THRESHOLD == 50
def test_chunk_size(self):
assert planner.CHUNK_SIZE == 30
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