headroom/tests/test_learn/test_integration.py

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"""Integration tests for headroom learn — using real session data.
These tests run against actual conversation data on the machine.
They verify the full pipeline: scan analyze recommend write.
Tests are skipped if the required data directories don't exist.
The LLM-based analyzer tests require ANTHROPIC_API_KEY.
Key behaviors tested:
- Empty recommendations don't create files
- Real Codex/Claude Code sessions can be scanned
- Skip logic: no file writes when nothing meaningful is found
- Idempotency: running twice produces same output
"""
from __future__ import annotations
import os
from pathlib import Path
from unittest.mock import patch
import pytest
from headroom.learn.analyzer import SessionAnalyzer
from headroom.learn.models import (
ProjectInfo,
Recommendation,
RecommendationTarget,
)
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from headroom.learn.scanner import _greedy_path_decode
from headroom.learn.writer import ClaudeCodeWriter, CodexWriter
# =============================================================================
# Writer Tests (no LLM needed)
# =============================================================================
class TestSkipWriteLogic:
"""Verify files are NOT written when there's nothing to write."""
def test_empty_recommendations_no_write(self, tmp_path):
"""Zero recommendations = zero files written."""
proj = ProjectInfo(
name="clean-project",
project_path=tmp_path / "proj",
data_path=tmp_path / "data",
)
(tmp_path / "proj").mkdir()
(tmp_path / "data" / "memory").mkdir(parents=True)
writer = ClaudeCodeWriter()
result = writer.write([], proj, dry_run=False)
assert result.files_written == []
assert not (tmp_path / "proj" / "CLAUDE.md").exists()
assert not (tmp_path / "data" / "memory" / "MEMORY.md").exists()
def test_codex_empty_no_write(self, tmp_path):
"""Codex writer also skips on empty recommendations."""
proj = ProjectInfo(name="clean", project_path=tmp_path, data_path=tmp_path)
writer = CodexWriter()
result = writer.write([], proj, dry_run=False)
assert result.files_written == []
assert not (tmp_path / "AGENTS.md").exists()
class TestIdempotency:
"""Running learn twice should produce the same output, not duplicate."""
def test_double_write_replaces_not_appends(self, tmp_path):
proj = ProjectInfo(name="test", project_path=tmp_path, data_path=tmp_path / "data")
(tmp_path / "data" / "memory").mkdir(parents=True)
recs = [
Recommendation(
target=RecommendationTarget.CONTEXT_FILE,
section="Environment",
content="- Use `uv run python`",
confidence=0.9,
evidence_count=10,
)
]
writer = ClaudeCodeWriter()
# First write
writer.write(recs, proj, dry_run=False)
feat(learn): write per-project learnings to CLAUDE.local.md by default (#1115) ## Description `headroom learn` wrote per-project learnings into the project's `CLAUDE.md`, which Claude Code treats as team-shared and git-tracked. That meant machine-specific absolute paths and tool-discovery byproducts polluted the shared file for every teammate. This switches the default to the personal, gitignored `CLAUDE.local.md`, adds a `--target` override, and migrates any stale block out of `CLAUDE.md`. Closes #1072. ## Type of Change - [ ] Bug fix (non-breaking change that fixes an issue) - [x] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - `ClaudeCodeWriter` now writes CONTEXT_FILE recommendations to `CLAUDE.local.md` by default instead of `CLAUDE.md` (the home-directory case still uses `~/.claude/CLAUDE.md`, which is personal global memory). - Added a `--target` flag (Claude Code only) and `set_context_target()` to override the destination — e.g. `--target CLAUDE.md` to opt back into the shared file, or any relative/absolute path. - On first run after upgrade, a stale Headroom block left in `CLAUDE.md` is moved into `CLAUDE.local.md` and stripped from `CLAUDE.md`, with a warning surfaced by the CLI. If `CLAUDE.md` held nothing but the block, the empty file is removed. - `WriteResult` carries `warnings`; the `learn` CLI prints them. - Updated docs (`failure-learning.mdx`) and `CHANGELOG.md`. This implements the maintainer's stated preference order from the issue (default → `CLAUDE.local.md`, plus a `--target` flag), scoped to the Claude writer only — `AGENTS.md`/`GEMINI.md` have no `.local` convention and are untouched. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [x] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ pytest tests/test_learn/ tests/test_cli_learn.py -q 196 passed, 2 skipped in 17.80s $ ruff check headroom/learn/writer.py headroom/cli/learn.py All checks passed! $ mypy headroom/learn/writer.py headroom/cli/learn.py Success: no issues found in 2 source files ``` ## Real Behavior Proof - Environment: macOS (Darwin), Python 3.11, headroom on rebased upstream/main - Exact command / steps: ran ClaudeCodeWriter against a temp project whose `CLAUDE.md` held hand-written content plus a legacy Headroom block, then `writer.write([...], dry_run=False)` - Observed result: `CLAUDE.md` kept its hand-written content with the block removed; `CLAUDE.local.md` gained both the migrated `### Old` section and the new `### Env` section; `result.warnings` contained the "Moved Headroom learnings out of …" notice. A block-only `CLAUDE.md` was deleted and a "Removed …" warning emitted. - Not tested: live end-to-end `headroom learn --apply` against real LLM analysis (writer + CLI plumbing covered by unit/CLI tests with mocked analysis) ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] I have updated CHANGELOG.md if applicable ## Additional Notes Scoped to the Claude Code writer per the issue. After migration, `discover_projects` may briefly re-surface a section the LLM re-derives, but the write-side merge dedups by section name so the file stays correct.
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first_content = (tmp_path / "CLAUDE.local.md").read_text()
# Second write (same recs)
writer.write(recs, proj, dry_run=False)
feat(learn): write per-project learnings to CLAUDE.local.md by default (#1115) ## Description `headroom learn` wrote per-project learnings into the project's `CLAUDE.md`, which Claude Code treats as team-shared and git-tracked. That meant machine-specific absolute paths and tool-discovery byproducts polluted the shared file for every teammate. This switches the default to the personal, gitignored `CLAUDE.local.md`, adds a `--target` override, and migrates any stale block out of `CLAUDE.md`. Closes #1072. ## Type of Change - [ ] Bug fix (non-breaking change that fixes an issue) - [x] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - `ClaudeCodeWriter` now writes CONTEXT_FILE recommendations to `CLAUDE.local.md` by default instead of `CLAUDE.md` (the home-directory case still uses `~/.claude/CLAUDE.md`, which is personal global memory). - Added a `--target` flag (Claude Code only) and `set_context_target()` to override the destination — e.g. `--target CLAUDE.md` to opt back into the shared file, or any relative/absolute path. - On first run after upgrade, a stale Headroom block left in `CLAUDE.md` is moved into `CLAUDE.local.md` and stripped from `CLAUDE.md`, with a warning surfaced by the CLI. If `CLAUDE.md` held nothing but the block, the empty file is removed. - `WriteResult` carries `warnings`; the `learn` CLI prints them. - Updated docs (`failure-learning.mdx`) and `CHANGELOG.md`. This implements the maintainer's stated preference order from the issue (default → `CLAUDE.local.md`, plus a `--target` flag), scoped to the Claude writer only — `AGENTS.md`/`GEMINI.md` have no `.local` convention and are untouched. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [x] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ pytest tests/test_learn/ tests/test_cli_learn.py -q 196 passed, 2 skipped in 17.80s $ ruff check headroom/learn/writer.py headroom/cli/learn.py All checks passed! $ mypy headroom/learn/writer.py headroom/cli/learn.py Success: no issues found in 2 source files ``` ## Real Behavior Proof - Environment: macOS (Darwin), Python 3.11, headroom on rebased upstream/main - Exact command / steps: ran ClaudeCodeWriter against a temp project whose `CLAUDE.md` held hand-written content plus a legacy Headroom block, then `writer.write([...], dry_run=False)` - Observed result: `CLAUDE.md` kept its hand-written content with the block removed; `CLAUDE.local.md` gained both the migrated `### Old` section and the new `### Env` section; `result.warnings` contained the "Moved Headroom learnings out of …" notice. A block-only `CLAUDE.md` was deleted and a "Removed …" warning emitted. - Not tested: live end-to-end `headroom learn --apply` against real LLM analysis (writer + CLI plumbing covered by unit/CLI tests with mocked analysis) ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] I have updated CHANGELOG.md if applicable ## Additional Notes Scoped to the Claude Code writer per the issue. After migration, `discover_projects` may briefly re-surface a section the LLM re-derives, but the write-side merge dedups by section name so the file stays correct.
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second_content = (tmp_path / "CLAUDE.local.md").read_text()
# Content should be identical (replaced, not appended)
assert first_content == second_content
assert second_content.count("uv run python") == 1
class TestFalsePositiveFiltering:
"""Verify that common false positives don't generate recommendations."""
def test_sed_output_not_error(self):
"""sed printing file content with 'Error:' in it isn't a real error."""
from headroom.learn.scanner import is_error_content
# Normal code output that happens to contain "error" in identifiers
assert not is_error_content("def handle_error(e):\n print('ok')")
def test_real_error_detected(self):
"""Actual errors should be detected."""
from headroom.learn.scanner import is_error_content
assert is_error_content("ModuleNotFoundError: No module named 'flask'")
assert is_error_content(
"FileNotFoundError: [Errno 2] No such file or directory: '/bad/path'"
)
assert is_error_content("bash: unknown_cmd: command not found")
# =============================================================================
# Real-World Integration Tests (skipped if data not present)
# =============================================================================
CLAUDE_DIR = Path.home() / ".claude" / "projects"
CODEX_DIR = Path.home() / ".codex" / "sessions"
HAS_API_KEY = bool(os.environ.get("ANTHROPIC_API_KEY"))
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HAS_CODEX_DATA = CODEX_DIR.exists() and (
any(CODEX_DIR.rglob("*.json")) or any(CODEX_DIR.rglob("*.jsonl"))
)
@pytest.mark.skipif(not CLAUDE_DIR.exists(), reason="No Claude Code data")
class TestClaudeCodeIntegration:
"""Integration tests against real Claude Code session data."""
def test_scanner_discovers_projects(self):
from headroom.learn.scanner import ClaudeCodeScanner
scanner = ClaudeCodeScanner()
projects = scanner.discover_projects()
if not projects:
pytest.skip("No Claude Code projects found")
assert len(projects) > 0
for p in projects:
assert p.name
assert p.data_path.exists()
def test_scanner_extracts_events(self):
"""Scanner should extract events including user messages."""
from headroom.learn.scanner import ClaudeCodeScanner
scanner = ClaudeCodeScanner()
projects = scanner.discover_projects()
if not projects:
pytest.skip("No Claude Code projects found")
best = max(projects, key=lambda p: len(list(p.data_path.glob("*.jsonl"))))
sessions = scanner.scan_project(best)
if not sessions:
pytest.skip("No Claude Code sessions found")
assert len(sessions) > 0
# At least some sessions should have events
sessions_with_events = [s for s in sessions if s.events]
assert len(sessions_with_events) > 0
@pytest.mark.skipif(not HAS_API_KEY, reason="No ANTHROPIC_API_KEY")
def test_full_pipeline_produces_output(self):
"""Scan → analyze on real data produces valid output."""
from headroom.learn.scanner import ClaudeCodeScanner
scanner = ClaudeCodeScanner()
projects = scanner.discover_projects()
if not projects:
pytest.skip("No Claude Code projects found")
best = max(projects, key=lambda p: len(list(p.data_path.glob("*.jsonl"))))
sessions = scanner.scan_project(best)
if not sessions:
pytest.skip("No Claude Code sessions found")
assert len(sessions) > 0
analyzer = SessionAnalyzer()
result = analyzer.analyze(best, sessions)
assert result.total_calls > 0
assert result.total_sessions > 0
assert 0 <= result.failure_rate <= 0.5
def test_dry_run_writes_nothing(self):
"""Dry run should never create files."""
from headroom.learn.scanner import ClaudeCodeScanner
scanner = ClaudeCodeScanner()
projects = scanner.discover_projects()
if not projects:
pytest.skip("No Claude Code projects found")
best = max(projects, key=lambda p: len(list(p.data_path.glob("*.jsonl"))))
# Use mock LLM to avoid needing API key
mock_response = {
"context_file_rules": [
{
"section": "Test",
"content": "- test rule",
"estimated_tokens_saved": 100,
"evidence_count": 2,
}
],
"memory_file_rules": [],
}
with patch("headroom.learn.analyzer._call_llm", return_value=mock_response):
sessions = scanner.scan_project(best)
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result = SessionAnalyzer(model="gpt-4o").analyze(best, sessions)
recs = result.recommendations
writer = ClaudeCodeWriter()
write_result = writer.write(recs, best, dry_run=True)
assert write_result.dry_run is True
for fp in write_result.files_written:
feat(learn): write per-project learnings to CLAUDE.local.md by default (#1115) ## Description `headroom learn` wrote per-project learnings into the project's `CLAUDE.md`, which Claude Code treats as team-shared and git-tracked. That meant machine-specific absolute paths and tool-discovery byproducts polluted the shared file for every teammate. This switches the default to the personal, gitignored `CLAUDE.local.md`, adds a `--target` override, and migrates any stale block out of `CLAUDE.md`. Closes #1072. ## Type of Change - [ ] Bug fix (non-breaking change that fixes an issue) - [x] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - `ClaudeCodeWriter` now writes CONTEXT_FILE recommendations to `CLAUDE.local.md` by default instead of `CLAUDE.md` (the home-directory case still uses `~/.claude/CLAUDE.md`, which is personal global memory). - Added a `--target` flag (Claude Code only) and `set_context_target()` to override the destination — e.g. `--target CLAUDE.md` to opt back into the shared file, or any relative/absolute path. - On first run after upgrade, a stale Headroom block left in `CLAUDE.md` is moved into `CLAUDE.local.md` and stripped from `CLAUDE.md`, with a warning surfaced by the CLI. If `CLAUDE.md` held nothing but the block, the empty file is removed. - `WriteResult` carries `warnings`; the `learn` CLI prints them. - Updated docs (`failure-learning.mdx`) and `CHANGELOG.md`. This implements the maintainer's stated preference order from the issue (default → `CLAUDE.local.md`, plus a `--target` flag), scoped to the Claude writer only — `AGENTS.md`/`GEMINI.md` have no `.local` convention and are untouched. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [x] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ pytest tests/test_learn/ tests/test_cli_learn.py -q 196 passed, 2 skipped in 17.80s $ ruff check headroom/learn/writer.py headroom/cli/learn.py All checks passed! $ mypy headroom/learn/writer.py headroom/cli/learn.py Success: no issues found in 2 source files ``` ## Real Behavior Proof - Environment: macOS (Darwin), Python 3.11, headroom on rebased upstream/main - Exact command / steps: ran ClaudeCodeWriter against a temp project whose `CLAUDE.md` held hand-written content plus a legacy Headroom block, then `writer.write([...], dry_run=False)` - Observed result: `CLAUDE.md` kept its hand-written content with the block removed; `CLAUDE.local.md` gained both the migrated `### Old` section and the new `### Env` section; `result.warnings` contained the "Moved Headroom learnings out of …" notice. A block-only `CLAUDE.md` was deleted and a "Removed …" warning emitted. - Not tested: live end-to-end `headroom learn --apply` against real LLM analysis (writer + CLI plumbing covered by unit/CLI tests with mocked analysis) ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] I have updated CHANGELOG.md if applicable ## Additional Notes Scoped to the Claude Code writer per the issue. After migration, `discover_projects` may briefly re-surface a section the LLM re-derives, but the write-side merge dedups by section name so the file stays correct.
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assert "CLAUDE" in fp.name or "MEMORY" in fp.name
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class TestDecodeProjectPath:
"""Unit tests for _greedy_path_decode — covers dot-in-path bug (GitHub.nosync)."""
def test_dot_in_directory_name(self, tmp_path):
"""Paths with dots (e.g. GitHub.nosync) must decode correctly.
Claude Code encodes '/' and '.' both as '-', so 'GitHub.nosync'
becomes 'GitHub-nosync' in the directory name.
_greedy_path_decode must reconstruct it by trying '.' as a join.
"""
# base = tmp_path, remaining parts = ["GitHub", "nosync", "myproject"]
# which came from encoding "GitHub.nosync/myproject" as "GitHub-nosync-myproject"
(tmp_path / "GitHub.nosync" / "myproject").mkdir(parents=True)
result = _greedy_path_decode(tmp_path, ["GitHub", "nosync", "myproject"])
assert result == tmp_path / "GitHub.nosync" / "myproject"
def test_hyphen_in_directory_name(self, tmp_path):
"""Paths with literal hyphens decode correctly (existing behavior preserved)."""
(tmp_path / "my-project").mkdir()
result = _greedy_path_decode(tmp_path, ["my", "project"])
assert result == tmp_path / "my-project"
def test_simple_path_no_ambiguity(self, tmp_path):
"""Plain paths with no special chars still decode correctly."""
(tmp_path / "myproject").mkdir()
result = _greedy_path_decode(tmp_path, ["myproject"])
assert result == tmp_path / "myproject"
def test_dot_preferred_over_slash_when_slash_missing(self, tmp_path):
"""When GitHub/nosync doesn't exist but GitHub.nosync does, use dot."""
# Only create the dot version, not the slash version
(tmp_path / "GitHub.nosync").mkdir()
result = _greedy_path_decode(tmp_path, ["GitHub", "nosync"])
assert result == tmp_path / "GitHub.nosync"
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@pytest.mark.skipif(not HAS_CODEX_DATA, reason="No Codex data")
class TestCodexIntegration:
"""Integration tests against real Codex session data."""
def test_scanner_discovers_sessions(self):
from headroom.learn.scanner import CodexScanner
scanner = CodexScanner()
projects = scanner.discover_projects()
if not projects:
pytest.skip("No Codex projects found")
assert len(projects) == 1 # Codex returns one "project"
def test_full_pipeline(self):
"""Full pipeline on real Codex data."""
from headroom.learn.scanner import CodexScanner
scanner = CodexScanner()
projects = scanner.discover_projects()
if not projects:
pytest.skip("No Codex projects found")
sessions = scanner.scan_project(projects[0])
assert len(sessions) > 0
# Codex has only Bash tool (shell)
all_tools = {tc.name for s in sessions for tc in s.tool_calls}
assert "Bash" in all_tools
def test_codex_writer_targets_agents_md(self, tmp_path):
"""Codex writer should target AGENTS.md, not CLAUDE.md."""
proj = ProjectInfo(name="codex-test", project_path=tmp_path, data_path=tmp_path)
recs = [
Recommendation(
target=RecommendationTarget.CONTEXT_FILE,
section="Commands",
content="- Use npm run test",
confidence=0.9,
evidence_count=5,
)
]
writer = CodexWriter()
result = writer.write(recs, proj, dry_run=True)
for fp in result.files_written:
assert fp.name in ("AGENTS.md", "instructions.md")
assert "CLAUDE.md" not in fp.name