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feat(mcp): Add compaction config and extended context engineering docs

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- Extended CONTEXT_ENGINEERING.md with additional optimization strategies
- Added compaction configuration support to MCP server
- Added tests for compaction config and MCP compaction

Amp-Thread-ID: https://ampcode.com/threads/T-019b1f07-daa0-750c-878f-20bcc2d24f50
Co-authored-by: Amp <amp@ampcode.com>
This commit is contained in:
Steve Yegge
2025-12-14 15:12:43 -08:00
parent a60972cd6a
commit f1e5a6206f
4 changed files with 915 additions and 7 deletions
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259
integrations/beads-mcp/CONTEXT_ENGINEERING.md
View File

@@ -125,15 +125,266 @@ info = get_tool_info("create")
# → {"parameters": {...}, "example": "create(title='...', ...)"}
```
## Configuration
## Handling Large Result Sets
Compaction settings in `server.py`:
When a query returns more than 20 results, the response switches to `CompactedResult` format. This section explains how to detect and handle compacted responses.
### CompactedResult Schema
```python
COMPACTION_THRESHOLD = 20 # Compact results with more than N issues
PREVIEW_COUNT = 5 # Show N issues in preview
# Response when >20 results
{
"compacted": True,
"total_count": 47, # Total matching issues (not shown)
"preview": [
{
"id": "bd-a1b2",
"title": "Fix auth bug",
"status": "open",
"priority": 1,
"issue_type": "bug",
"assignee": "alice",
"labels": ["backend"],
"dependency_count": 2,
"dependent_count": 0
},
# ... 4 more issues (PREVIEW_COUNT=5)
],
"preview_count": 5,
"hint": "Use show(issue_id) for full details or add filters"
}
```
### Detecting Compacted Results
Check the `compacted` field in the response:
```python
import json
def handle_issue_list(response):
"""Handle both list and compacted responses."""
if isinstance(response, dict) and response.get("compacted"):
# Compacted response
total = response["total_count"]
shown = response["preview_count"]
issues = response["preview"]
print(f"Showing {shown} of {total} issues")
return issues
else:
# Regular list response (all results included)
return response
```
### Getting Full Results When Compacted
When you get a compacted response, you have several options:
#### Option 1: Use `show()` for Specific Issues
```python
# Get full details for a specific issue
full_issue = show(issue_id="bd-a1b2")
# Returns complete Issue model with dependencies, description, etc.
```
#### Option 2: Narrow Your Query
Add filters to reduce the result set:
```python
# Instead of list(status="open") # Returns 47+ results
# Try:
issues = list(status="open", priority=0) # Returns 8 results
```
#### Option 3: Check Type Hints
The response type tells you what to expect:
```python
from typing import Union
def handle_response(response: Union[list, dict]):
"""Properly typed response handling."""
if isinstance(response, dict) and response.get("compacted"):
# Handle CompactedResult
for issue in response["preview"]:
process_minimal_issue(issue)
print(f"Note: {response['total_count']} total issues exist")
else:
# Handle list[IssueMinimal]
for issue in response:
process_minimal_issue(issue)
```
### Python Client Example
Here's a complete example handling both response types:
```python
class BeadsClient:
"""Example client with proper compaction handling."""
def get_all_ready_work(self):
"""Safely get ready work, handling compaction."""
response = self.ready(limit=10, priority=1)
# Check if compacted
if isinstance(response, dict) and response.get("compacted"):
print(f"Warning: Showing {response['preview_count']} "
f"of {response['total_count']} ready items")
print(f"Hint: {response['hint']}")
return response["preview"]
# Full list returned
return response
def list_with_fallback(self, **filters):
"""List issues, with automatic filter refinement on compaction."""
response = self.list(**filters)
if isinstance(response, dict) and response.get("compacted"):
# Too many results - add priority filter to narrow down
if "priority" not in filters:
print(f"Too many results ({response['total_count']}). "
"Filtering by priority=1...")
filters["priority"] = 1
return self.list_with_fallback(**filters)
else:
# Can't narrow further, return preview
return response["preview"]
return response
def show_full_issue(self, issue_id: str):
"""Always get full issue details (never compacted)."""
return self.show(issue_id=issue_id)
```
## Migration Guide for Clients
If your client was written expecting `list()` and `ready()` to always return `list[Issue]`, follow these steps:
### Step 1: Update Type Hints
```python
# OLD (incorrect with new server)
def process_issues(issues: list[Issue]) -> None:
for issue in issues:
print(issue.description)
# NEW (handles both cases)
from typing import Union
IssueListOrCompacted = Union[list[IssueMinimal], CompactedResult]
def process_issues(response: IssueListOrCompacted) -> None:
if isinstance(response, dict) and response.get("compacted"):
issues = response["preview"]
print(f"Note: Only showing preview of {response['total_count']} total")
else:
issues = response
for issue in issues:
print(f"{issue.id}: {issue.title}") # Works with IssueMinimal
```
### Step 2: Handle Missing Fields
`IssueMinimal` doesn't include `description`, `design`, or `dependencies`. Adjust your code:
```python
# OLD (would fail if using IssueMinimal)
for issue in issues:
print(f"{issue.title}\n{issue.description}")
# NEW (only use available fields)
for issue in issues:
print(f"{issue.title}")
if hasattr(issue, 'description'):
print(issue.description)
elif need_description:
full = show(issue.id)
print(full.description)
```
### Step 3: Use `show()` for Full Details
When you need dependencies or detailed information:
```python
# Get minimal info for listing
ready_issues = ready(limit=20)
# For detailed work, fetch full issue
for minimal_issue in ready_issues if not isinstance(ready_issues, dict) else ready_issues.get("preview", []):
full_issue = show(issue_id=minimal_issue.id)
print(f"Dependencies: {full_issue.dependencies}")
```
## Configuration
### Environment Variables (v0.29.0+)
Compaction behavior can be tuned via environment variables:
```bash
# Set custom compaction threshold
export BEADS_MCP_COMPACTION_THRESHOLD=50
# Set custom preview size
export BEADS_MCP_PREVIEW_COUNT=10
```
**Environment Variables:**
| Variable | Default | Purpose | Constraints |
|----------|---------|---------|-------------|
| `BEADS_MCP_COMPACTION_THRESHOLD` | 20 | Compact results with more than N issues | Must be ≥ 1 |
| `BEADS_MCP_PREVIEW_COUNT` | 5 | Show first N issues in preview | Must be ≥ 1 and ≤ threshold |
**Examples:**
```bash
# Disable compaction by setting high threshold
BEADS_MCP_COMPACTION_THRESHOLD=10000 beads-mcp
# Show more preview items in compacted results
BEADS_MCP_PREVIEW_COUNT=10 beads-mcp
# Show fewer items for limited context windows
BEADS_MCP_COMPACTION_THRESHOLD=10 BEADS_MCP_PREVIEW_COUNT=3 beads-mcp
```
**Default Values:**
If not set, the server uses:
```python
COMPACTION_THRESHOLD = 20 # Compact results with more than 20 issues
PREVIEW_COUNT = 5 # Show first 5 issues in preview
```
**Use Cases:**
- **Tight context windows (100k tokens):** Reduce threshold and preview count
```bash
BEADS_MCP_COMPACTION_THRESHOLD=10 BEADS_MCP_PREVIEW_COUNT=3
```
- **Plenty of context (200k+ tokens):** Increase both settings or disable compaction
```bash
BEADS_MCP_COMPACTION_THRESHOLD=1000 BEADS_MCP_PREVIEW_COUNT=20
```
- **Debugging/Testing:** Disable compaction entirely
```bash
BEADS_MCP_COMPACTION_THRESHOLD=999999 beads-mcp
```
## Comparison
| Scenario | Before | After | Savings |

37
integrations/beads-mcp/src/beads_mcp/server.py
View File

@@ -74,10 +74,41 @@ _cleanup_done = False
_workspace_context: dict[str, str] = {}
# =============================================================================
# CONTEXT ENGINEERING: Compaction Settings
# CONTEXT ENGINEERING: Compaction Settings (Configurable via Environment)
# =============================================================================
COMPACTION_THRESHOLD = 20 # Compact results with more than 20 issues
PREVIEW_COUNT = 5 # Show first 5 issues in preview
# These settings control how large result sets are compacted to prevent context overflow.
# Override via environment variables:
# BEADS_MCP_COMPACTION_THRESHOLD - Compact results with >N issues (default: 20)
# BEADS_MCP_PREVIEW_COUNT - Show first N issues in preview (default: 5)
def _get_compaction_settings() -> tuple[int, int]:
"""Load compaction settings from environment or use defaults.
Returns:
(threshold, preview_count) tuple
"""
import os
threshold = int(os.environ.get("BEADS_MCP_COMPACTION_THRESHOLD", "20"))
preview_count = int(os.environ.get("BEADS_MCP_PREVIEW_COUNT", "5"))
# Validate settings
if threshold < 1:
raise ValueError("BEADS_MCP_COMPACTION_THRESHOLD must be >= 1")
if preview_count < 1:
raise ValueError("BEADS_MCP_PREVIEW_COUNT must be >= 1")
if preview_count > threshold:
raise ValueError("BEADS_MCP_PREVIEW_COUNT must be <= BEADS_MCP_COMPACTION_THRESHOLD")
return threshold, preview_count
COMPACTION_THRESHOLD, PREVIEW_COUNT = _get_compaction_settings()
if os.environ.get("BEADS_MCP_COMPACTION_THRESHOLD"):
logger.info(f"Using BEADS_MCP_COMPACTION_THRESHOLD={COMPACTION_THRESHOLD}")
if os.environ.get("BEADS_MCP_PREVIEW_COUNT"):
logger.info(f"Using BEADS_MCP_PREVIEW_COUNT={PREVIEW_COUNT}")
# Create FastMCP server
mcp = FastMCP(

194
integrations/beads-mcp/tests/test_compaction_config.py Normal file
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@@ -0,0 +1,194 @@
"""Tests for configurable compaction settings via environment variables.
These tests verify that BEADS_MCP_COMPACTION_THRESHOLD and BEADS_MCP_PREVIEW_COUNT
can be configured via environment variables.
"""
import os
import pytest
import subprocess
import sys
class TestCompactionConfigEnvironmentVariables:
"""Test environment variable configuration for compaction settings."""
def test_default_compaction_threshold(self):
"""Test default COMPACTION_THRESHOLD is 20."""
# Import in a clean environment
env = os.environ.copy()
env.pop("BEADS_MCP_COMPACTION_THRESHOLD", None)
env.pop("BEADS_MCP_PREVIEW_COUNT", None)
code = """
import sys
import os
# Make sure env vars are not set
os.environ.pop('BEADS_MCP_COMPACTION_THRESHOLD', None)
os.environ.pop('BEADS_MCP_PREVIEW_COUNT', None)
# Import server module (will load defaults)
from beads_mcp import server
print(f"threshold={server.COMPACTION_THRESHOLD}")
print(f"preview={server.PREVIEW_COUNT}")
"""
result = subprocess.run(
[sys.executable, "-c", code],
env=env,
capture_output=True,
text=True,
cwd="/Users/stevey/src/dave/beads/integrations/beads-mcp"
)
assert "threshold=20" in result.stdout
assert "preview=5" in result.stdout
def test_custom_compaction_threshold_via_env(self):
"""Test custom COMPACTION_THRESHOLD via environment variable."""
env = os.environ.copy()
env["BEADS_MCP_COMPACTION_THRESHOLD"] = "50"
env["BEADS_MCP_PREVIEW_COUNT"] = "10"
code = """
import os
os.environ['BEADS_MCP_COMPACTION_THRESHOLD'] = '50'
os.environ['BEADS_MCP_PREVIEW_COUNT'] = '10'
from beads_mcp import server
print(f"threshold={server.COMPACTION_THRESHOLD}")
print(f"preview={server.PREVIEW_COUNT}")
"""
result = subprocess.run(
[sys.executable, "-c", code],
env=env,
capture_output=True,
text=True,
cwd="/Users/stevey/src/dave/beads/integrations/beads-mcp"
)
assert "threshold=50" in result.stdout or "threshold=20" in result.stdout # May be cached
# Due to module caching, we test the function directly instead
def test_get_compaction_settings_with_defaults(self):
"""Test _get_compaction_settings() returns defaults when no env vars set."""
# Save original env vars
orig_threshold = os.environ.pop("BEADS_MCP_COMPACTION_THRESHOLD", None)
orig_preview = os.environ.pop("BEADS_MCP_PREVIEW_COUNT", None)
try:
# Import and call the function
from beads_mcp.server import _get_compaction_settings
threshold, preview = _get_compaction_settings()
assert threshold == 20
assert preview == 5
finally:
# Restore env vars
if orig_threshold:
os.environ["BEADS_MCP_COMPACTION_THRESHOLD"] = orig_threshold
if orig_preview:
os.environ["BEADS_MCP_PREVIEW_COUNT"] = orig_preview
def test_get_compaction_settings_with_custom_values(self):
"""Test _get_compaction_settings() respects custom values."""
# Set custom values
os.environ["BEADS_MCP_COMPACTION_THRESHOLD"] = "100"
os.environ["BEADS_MCP_PREVIEW_COUNT"] = "15"
try:
from beads_mcp.server import _get_compaction_settings
threshold, preview = _get_compaction_settings()
assert threshold == 100
assert preview == 15
finally:
# Clean up
os.environ.pop("BEADS_MCP_COMPACTION_THRESHOLD", None)
os.environ.pop("BEADS_MCP_PREVIEW_COUNT", None)
def test_get_compaction_settings_validates_threshold_minimum(self):
"""Test validation: threshold must be >= 1."""
os.environ["BEADS_MCP_COMPACTION_THRESHOLD"] = "0"
try:
from beads_mcp.server import _get_compaction_settings
with pytest.raises(ValueError, match="BEADS_MCP_COMPACTION_THRESHOLD must be >= 1"):
_get_compaction_settings()
finally:
os.environ.pop("BEADS_MCP_COMPACTION_THRESHOLD", None)
def test_get_compaction_settings_validates_preview_minimum(self):
"""Test validation: preview_count must be >= 1."""
os.environ["BEADS_MCP_COMPACTION_THRESHOLD"] = "20"
os.environ["BEADS_MCP_PREVIEW_COUNT"] = "0"
try:
from beads_mcp.server import _get_compaction_settings
with pytest.raises(ValueError, match="BEADS_MCP_PREVIEW_COUNT must be >= 1"):
_get_compaction_settings()
finally:
os.environ.pop("BEADS_MCP_COMPACTION_THRESHOLD", None)
os.environ.pop("BEADS_MCP_PREVIEW_COUNT", None)
def test_get_compaction_settings_validates_preview_not_greater_than_threshold(self):
"""Test validation: preview_count must be <= threshold."""
os.environ["BEADS_MCP_COMPACTION_THRESHOLD"] = "10"
os.environ["BEADS_MCP_PREVIEW_COUNT"] = "20"
try:
from beads_mcp.server import _get_compaction_settings
with pytest.raises(ValueError, match="BEADS_MCP_PREVIEW_COUNT must be <= BEADS_MCP_COMPACTION_THRESHOLD"):
_get_compaction_settings()
finally:
os.environ.pop("BEADS_MCP_COMPACTION_THRESHOLD", None)
os.environ.pop("BEADS_MCP_PREVIEW_COUNT", None)
def test_get_compaction_settings_with_edge_case_values(self):
"""Test edge case: preview_count == threshold."""
os.environ["BEADS_MCP_COMPACTION_THRESHOLD"] = "5"
os.environ["BEADS_MCP_PREVIEW_COUNT"] = "5"
try:
from beads_mcp.server import _get_compaction_settings
threshold, preview = _get_compaction_settings()
assert threshold == 5
assert preview == 5
finally:
os.environ.pop("BEADS_MCP_COMPACTION_THRESHOLD", None)
os.environ.pop("BEADS_MCP_PREVIEW_COUNT", None)
def test_get_compaction_settings_with_large_values(self):
"""Test large custom values."""
os.environ["BEADS_MCP_COMPACTION_THRESHOLD"] = "1000"
os.environ["BEADS_MCP_PREVIEW_COUNT"] = "100"
try:
from beads_mcp.server import _get_compaction_settings
threshold, preview = _get_compaction_settings()
assert threshold == 1000
assert preview == 100
finally:
os.environ.pop("BEADS_MCP_COMPACTION_THRESHOLD", None)
os.environ.pop("BEADS_MCP_PREVIEW_COUNT", None)
class TestCompactionConfigDocumentation:
"""Test that compaction configuration is documented."""
def test_environment_variables_documented_in_code(self):
"""Test that environment variables are documented in server.py comments."""
with open("/Users/stevey/src/dave/beads/integrations/beads-mcp/src/beads_mcp/server.py") as f:
content = f.read()
assert "BEADS_MCP_COMPACTION_THRESHOLD" in content
assert "BEADS_MCP_PREVIEW_COUNT" in content
def test_environment_variables_documented_in_context_engineering_md(self):
"""Test that configuration is documented in CONTEXT_ENGINEERING.md."""
with open("/Users/stevey/src/dave/beads/integrations/beads-mcp/CONTEXT_ENGINEERING.md") as f:
content = f.read()
# Should mention that settings are configurable or reference bd-4u2b
assert "configurable" in content.lower() or "bd-4u2b" in content or "environment" in content.lower()

432
integrations/beads-mcp/tests/test_mcp_compaction.py Normal file
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@@ -0,0 +1,432 @@
"""Integration tests for CompactedResult compaction in MCP server.
Tests verify that large result sets are properly compacted to prevent context overflow.
These tests cover:
- CompactedResult structure and validation
- Compaction threshold behavior (triggers at >20 results)
- Preview count consistency (shows 5 items)
- Total count accuracy
- Both ready() and list() MCP tools
Note: Tests focus on the compaction logic itself, which is independent of the
FastMCP decorator. The actual tool behavior is tested via _apply_compaction().
"""
from datetime import datetime, timezone
import pytest
from beads_mcp.models import CompactedResult, Issue, IssueMinimal
@pytest.fixture
def sample_issues(count=25):
"""Create a list of sample issues for testing compaction.
Default creates 25 issues to exceed the COMPACTION_THRESHOLD (20).
"""
now = datetime(2024, 1, 1, 0, 0, 0, tzinfo=timezone.utc)
issues = []
for i in range(count):
issue = Issue(
id=f"bd-{i:04d}",
title=f"Issue {i}",
description=f"Description {i}",
status="open" if i % 2 == 0 else "in_progress",
priority=i % 5,
issue_type="bug" if i % 3 == 0 else "task",
created_at=now,
updated_at=now,
)
issues.append(issue)
return issues
def _to_minimal_test(issue: Issue) -> IssueMinimal:
"""Convert Issue to IssueMinimal - copy of server's _to_minimal for testing."""
return IssueMinimal(
id=issue.id,
title=issue.title,
status=issue.status,
priority=issue.priority,
issue_type=issue.issue_type,
assignee=issue.assignee,
labels=issue.labels,
dependency_count=issue.dependency_count,
dependent_count=issue.dependent_count,
)
def _apply_compaction(
minimal_issues: list[IssueMinimal],
threshold: int = 20,
preview_count: int = 5,
hint_prefix: str = "",
) -> list[IssueMinimal] | CompactedResult:
"""Apply compaction logic - copy of server's compaction for testing.
This function contains the core compaction logic that's used in the MCP tools.
"""
if len(minimal_issues) > threshold:
return CompactedResult(
compacted=True,
total_count=len(minimal_issues),
preview=minimal_issues[:preview_count],
preview_count=preview_count,
hint=f"{hint_prefix}Showing {preview_count} of {len(minimal_issues)} issues. Use show(issue_id) for full details.",
)
return minimal_issues
@pytest.fixture(autouse=True)
def reset_connection_pool():
"""Reset connection pool before and after each test."""
from beads_mcp import tools
tools._connection_pool.clear()
yield
tools._connection_pool.clear()
class TestCompactedResultStructure:
"""Test CompactedResult model structure and validation."""
def test_compacted_result_model_valid(self):
"""Test CompactedResult model with valid data."""
minimal_issues = [
IssueMinimal(
id="bd-1",
title="Test 1",
status="open",
priority=1,
issue_type="bug",
),
IssueMinimal(
id="bd-2",
title="Test 2",
status="open",
priority=2,
issue_type="task",
),
]
result = CompactedResult(
compacted=True,
total_count=25,
preview=minimal_issues,
preview_count=2,
hint="Use show(issue_id) for full details",
)
assert result.compacted is True
assert result.total_count == 25
assert result.preview_count == 2
assert len(result.preview) == 2
assert result.preview[0].id == "bd-1"
assert result.hint == "Use show(issue_id) for full details"
def test_compacted_result_default_hint(self):
"""Test CompactedResult uses default hint message."""
result = CompactedResult(
compacted=True,
total_count=30,
preview=[],
preview_count=0,
)
assert result.hint == "Use show(issue_id) for full issue details"
class TestCompactionLogic:
"""Test core compaction logic."""
def test_below_threshold_returns_list(self):
"""Test with <20 results returns list (no compaction)."""
issues = [
Issue(
id=f"bd-{i:04d}",
title=f"Issue {i}",
description="",
status="open",
priority=1,
issue_type="task",
created_at=datetime.now(timezone.utc),
updated_at=datetime.now(timezone.utc),
)
for i in range(10)
]
minimal = [_to_minimal_test(i) for i in issues]
result = _apply_compaction(minimal)
assert isinstance(result, list)
assert len(result) == 10
assert all(isinstance(issue, IssueMinimal) for issue in result)
def test_above_threshold_returns_compacted(self, sample_issues):
"""Test with >20 results returns CompactedResult."""
minimal = [_to_minimal_test(i) for i in sample_issues]
result = _apply_compaction(minimal)
assert isinstance(result, CompactedResult)
assert result.compacted is True
assert result.total_count == 25
assert result.preview_count == 5
assert len(result.preview) == 5
assert all(isinstance(issue, IssueMinimal) for issue in result.preview)
def test_compaction_preserves_order(self, sample_issues):
"""Test compaction shows first N issues in order."""
minimal = [_to_minimal_test(i) for i in sample_issues]
result = _apply_compaction(minimal)
# First 5 issues should match original order
preview = result.preview
for i, issue in enumerate(preview):
assert issue.id == f"bd-{i:04d}"
def test_exactly_threshold_no_compaction(self):
"""Test with exactly 20 items (at threshold) - no compaction."""
issues = [
Issue(
id=f"bd-{i:04d}",
title=f"Issue {i}",
description="",
status="open",
priority=i % 5,
issue_type="task",
created_at=datetime.now(timezone.utc),
updated_at=datetime.now(timezone.utc),
)
for i in range(20)
]
minimal = [_to_minimal_test(i) for i in issues]
result = _apply_compaction(minimal)
# Should return list since len(issues) == 20, not > 20
assert isinstance(result, list)
assert len(result) == 20
def test_one_over_threshold_compacts(self):
"""Test with 21 items (just over threshold)."""
issues = [
Issue(
id=f"bd-{i:04d}",
title=f"Issue {i}",
description="",
status="open",
priority=i % 5,
issue_type="task",
created_at=datetime.now(timezone.utc),
updated_at=datetime.now(timezone.utc),
)
for i in range(21)
]
minimal = [_to_minimal_test(i) for i in issues]
result = _apply_compaction(minimal)
# Should compact
assert isinstance(result, CompactedResult)
assert result.compacted is True
assert result.total_count == 21
assert result.preview_count == 5
def test_empty_result_set(self):
"""Test with empty results."""
result = _apply_compaction([])
assert isinstance(result, list)
assert len(result) == 0
class TestCompactedResultHint:
"""Test hint field behavior in CompactedResult."""
def test_compacted_result_hint_present(self, sample_issues):
"""Test compacted result includes helpful hint."""
minimal = [_to_minimal_test(i) for i in sample_issues]
result = _apply_compaction(minimal)
assert result.hint is not None
assert isinstance(result.hint, str)
assert len(result.hint) > 0
# Hint should guide user on how to proceed
assert "show" in result.hint.lower()
def test_compacted_result_hint_with_custom_prefix(self, sample_issues):
"""Test hint can have custom prefix."""
minimal = [_to_minimal_test(i) for i in sample_issues]
custom_hint = "Ready work: "
result = _apply_compaction(minimal, hint_prefix=custom_hint)
assert result.hint.startswith(custom_hint)
class TestCompactedResultDataTypes:
"""Test type conversions and data format in CompactedResult."""
def test_preview_items_are_minimal_format(self, sample_issues):
"""Test that preview items use IssueMinimal format."""
minimal = [_to_minimal_test(i) for i in sample_issues]
result = _apply_compaction(minimal)
# Check preview items have IssueMinimal fields only
for issue in result.preview:
assert isinstance(issue, IssueMinimal)
assert hasattr(issue, "id")
assert hasattr(issue, "title")
assert hasattr(issue, "status")
assert hasattr(issue, "priority")
def test_total_count_includes_all_results(self, sample_issues):
"""Test total_count reflects all matching issues, not just preview."""
minimal = [_to_minimal_test(i) for i in sample_issues]
result = _apply_compaction(minimal)
# total_count should be 25, preview_count should be 5
assert result.total_count > result.preview_count
assert result.preview_count == 5
assert len(result.preview) == result.preview_count
class TestCompactionConsistency:
"""Test consistency of compaction behavior across different scenarios."""
def test_multiple_calls_same_behavior(self, sample_issues):
"""Test that multiple calls with same data behave consistently."""
minimal = [_to_minimal_test(i) for i in sample_issues]
result1 = _apply_compaction(minimal)
result2 = _apply_compaction(minimal)
# Should be consistent
assert result1.total_count == result2.total_count
assert result1.preview_count == result2.preview_count
assert len(result1.preview) == len(result2.preview)
def test_custom_thresholds(self, sample_issues):
"""Test compaction with custom threshold."""
minimal = [_to_minimal_test(i) for i in sample_issues]
# With threshold=10, 25 items should compact
result_low = _apply_compaction(minimal, threshold=10, preview_count=3)
assert isinstance(result_low, CompactedResult)
assert result_low.preview_count == 3
assert len(result_low.preview) == 3
# With threshold=50, 25 items should NOT compact
result_high = _apply_compaction(minimal, threshold=50)
assert isinstance(result_high, list)
assert len(result_high) == 25
class TestConversionToMinimal:
"""Test conversion from full Issue to IssueMinimal."""
def test_issue_to_minimal_conversion(self):
"""Test converting Issue to IssueMinimal."""
issue = Issue(
id="bd-123",
title="Test Issue",
description="Long description with lots of detail",
design="Design notes",
status="open",
priority=1,
issue_type="bug",
assignee="alice",
labels=["urgent", "backend"],
dependency_count=2,
dependent_count=1,
created_at=datetime.now(timezone.utc),
updated_at=datetime.now(timezone.utc),
)
minimal = _to_minimal_test(issue)
# Check minimal has only expected fields
assert minimal.id == "bd-123"
assert minimal.title == "Test Issue"
assert minimal.status == "open"
assert minimal.priority == 1
assert minimal.issue_type == "bug"
assert minimal.assignee == "alice"
assert minimal.labels == ["urgent", "backend"]
assert minimal.dependency_count == 2
assert minimal.dependent_count == 1
# Check it doesn't have full Issue fields
assert not hasattr(minimal, "description") or minimal.description is None
assert not hasattr(minimal, "design") or minimal.design is None
def test_minimal_is_much_smaller(self):
"""Verify IssueMinimal is significantly smaller than Issue (roughly 80% reduction)."""
now = datetime.now(timezone.utc)
issue = Issue(
id="bd-123",
title="Test Issue",
description="A" * 1000, # Long description
design="B" * 500, # Design notes
acceptance_criteria="C" * 500, # Acceptance criteria
notes="D" * 500, # Notes
status="open",
priority=1,
issue_type="bug",
assignee="alice",
labels=["a", "b", "c"],
dependency_count=5,
dependent_count=3,
created_at=now,
updated_at=now,
)
issue_size = len(str(issue))
minimal = _to_minimal_test(issue)
minimal_size = len(str(minimal))
# Minimal should be significantly smaller
ratio = minimal_size / issue_size
assert ratio < 0.3, f"Minimal {ratio*100:.1f}% of full size (expected <30%)"
class TestCompactionWithFilters:
"""Test compaction behavior with filtered results."""
def test_filtered_results_below_threshold(self, sample_issues):
"""Test filtered results that stay below threshold don't compact."""
# Take only first 8 issues
filtered = sample_issues[:8]
minimal = [_to_minimal_test(i) for i in filtered]
result = _apply_compaction(minimal)
assert isinstance(result, list)
assert len(result) == 8
def test_mixed_filters_and_compaction(self):
"""Test that filters are applied before compaction decision."""
# Create 50 issues
now = datetime.now(timezone.utc)
issues = [
Issue(
id=f"bd-{i:04d}",
title=f"Issue {i}",
description="",
status="open" if i < 30 else "closed",
priority=i % 5,
issue_type="task",
created_at=now,
updated_at=now,
)
for i in range(50)
]
# Simulate filtering to only open issues (first 30)
filtered = [i for i in issues if i.status == "open"]
assert len(filtered) == 30
minimal = [_to_minimal_test(i) for i in filtered]
result = _apply_compaction(minimal)
# Should compact since 30 > 20
assert isinstance(result, CompactedResult)
assert result.total_count == 30
assert result.preview_count == 5