---
phase: 05-output-cli
verified: 2026-02-12T12:00:00Z
status: passed
score: 6/6 success criteria verified
re_verification: false
---

# Phase 5: Output & CLI Verification Report

**Phase Goal:** User-facing interface and structured tiered output
**Verified:** 2026-02-12T12:00:00Z
**Status:** passed
**Re-verification:** No - initial verification

## Goal Achievement

### Observable Truths

| # | Truth | Status | Evidence |
|---|-------|--------|----------|
| 1 | Pipeline produces tiered candidate list (high/medium/low confidence) based on composite score and evidence breadth | ✓ VERIFIED | assign_tiers() in tiers.py implements configurable thresholds (HIGH: score>=0.7 & evidence>=3, MEDIUM: score>=0.4 & evidence>=2, LOW: score>=0.2). Uses vectorized polars when/then/otherwise chains. EXCLUDED genes filtered out. |
| 2 | Each candidate includes multi-dimensional evidence summary showing which layers support it and which have gaps | ✓ VERIFIED | add_evidence_summary() in evidence_summary.py adds supporting_layers (comma-separated list of non-NULL scores) and evidence_gaps (comma-separated list of NULL scores). Uses polars concat_list + list.drop_nulls + list.join. |
| 3 | Output is available in TSV and Parquet formats compatible with downstream tools | ✓ VERIFIED | write_candidate_output() in writers.py writes both TSV (tab separator) and Parquet (snappy compression) with identical data. Includes YAML provenance sidecar with statistics, column metadata. Deterministic sorting (composite_score DESC, gene_id ASC). |
| 4 | Pipeline generates visualizations: score distribution, evidence layer contribution, tier breakdown | ✓ VERIFIED | visualizations.py implements plot_score_distribution() (histogram colored by tier), plot_layer_contributions() (bar chart of layer coverage), plot_tier_breakdown() (pie chart). All saved at 300 DPI. matplotlib Agg backend (headless-safe). Proper plt.close() to prevent memory leaks. generate_all_plots() orchestrates with error handling. |
| 5 | Unified CLI provides subcommands for running layers, integration, and reporting with progress logging | ✓ VERIFIED | report_cmd.py implements full CLI command registered in main.py. Follows established pattern: config load, store init, checkpoint check, pipeline steps with click.style output, summary, cleanup. Supports --output-dir, --force, --skip-viz, --skip-report, configurable tier thresholds. Integrates all output modules: assign_tiers, add_evidence_summary, write_candidate_output, generate_all_plots, generate_reproducibility_report. |
| 6 | Reproducibility report documents all parameters, data versions, gene counts at filtering steps, and validation metrics | ✓ VERIFIED | reproducibility.py implements ReproducibilityReport dataclass with to_json() and to_markdown() methods. generate_reproducibility_report() extracts parameters from config.scoring.model_dump(), data_versions from config.versions.model_dump(), software versions (Python, polars, duckdb), filtering steps from provenance.get_steps(), tier statistics, and optional validation metrics. |

**Score:** 6/6 truths verified

### Required Artifacts

| Artifact | Expected | Status | Details |
|----------|----------|--------|---------|
| src/usher_pipeline/output/tiers.py | Confidence tiering logic | ✓ VERIFIED | 84 lines. Exports assign_tiers, TIER_THRESHOLDS. Uses polars when/then/otherwise chains. Filters EXCLUDED genes. Deterministic sorting. |
| src/usher_pipeline/output/evidence_summary.py | Per-gene evidence summary columns | ✓ VERIFIED | 83 lines. Exports add_evidence_summary, EVIDENCE_LAYERS. Uses concat_list + list.drop_nulls + list.join for comma-separated strings. |
| src/usher_pipeline/output/writers.py | Dual-format TSV+Parquet writer | ✓ VERIFIED | 105 lines. Exports write_candidate_output. Writes TSV (tab separator), Parquet (snappy), and YAML provenance sidecar. Computes tier statistics. |
| src/usher_pipeline/output/visualizations.py | matplotlib/seaborn visualization functions | ✓ VERIFIED | 245 lines. Exports plot_score_distribution, plot_layer_contributions, plot_tier_breakdown, generate_all_plots. Uses Agg backend. 300 DPI output. Proper plt.close(). |
| src/usher_pipeline/output/reproducibility.py | Reproducibility report generation | ✓ VERIFIED | 321 lines. Exports ReproducibilityReport, FilteringStep, generate_reproducibility_report. JSON and Markdown output. Extracts config, provenance, tier stats, validation metrics. |
| src/usher_pipeline/output/__init__.py | Package exports | ✓ VERIFIED | 30 lines. Exports all functions from tiers, evidence_summary, writers, visualizations, reproducibility. |
| src/usher_pipeline/cli/report_cmd.py | CLI report command | ✓ VERIFIED | 400+ lines. Orchestrates full output pipeline. Supports --output-dir, --force, --skip-viz, --skip-report, tier threshold flags. Error handling, progress logging, checkpoint pattern. |
| tests/test_output.py | Unit tests for output module | ✓ VERIFIED | 602 lines. 9 tests covering tiering, evidence summary, writers, provenance. |
| tests/test_visualizations.py | Tests for visualization generation | ✓ VERIFIED | 112 lines. 6 tests for plot creation, empty DataFrame handling. |
| tests/test_reproducibility.py | Tests for report content | ✓ VERIFIED | 245 lines. 7 tests for report fields, JSON/Markdown output, validation metrics. |
| tests/test_report_cmd.py | CliRunner integration tests | ✓ VERIFIED | 308 lines. 9 tests for CLI command with synthetic fixtures. |

### Key Link Verification

| From | To | Via | Status | Details |
|------|----|----|--------|---------|
| tiers.py | scored_genes DataFrame | polars expressions with composite_score and evidence_count | ✓ WIRED | Lines 62-68 use pl.col("composite_score") and pl.col("evidence_count") in when/then chains. Line 81 sorts by composite_score DESC. |
| writers.py | TSV and Parquet files | polars write_csv and write_parquet | ✓ WIRED | Line 66: df.write_csv(tsv_path, separator="\t"). Line 69: df.write_parquet(parquet_path, compression="snappy"). |
| visualizations.py | matplotlib/seaborn | to_pandas() conversion | ✓ WIRED | Line 35: pdf = df.to_pandas(). Lines 38, 44, 116: sns.set_theme(), sns.histplot(), sns.barplot(). |
| reproducibility.py | config and provenance | model_dump() extraction | ✓ WIRED | Line 239: parameters = config.scoring.model_dump(). Line 242: data_versions = config.versions.model_dump(). Line 253: provenance.get_steps(). |
| report_cmd.py | output modules | imports and function calls | ✓ WIRED | Lines 19-25: imports assign_tiers, add_evidence_summary, write_candidate_output, generate_all_plots, generate_reproducibility_report. Lines 215, 246, 262, 300, 337: calls to all imported functions. |
| main.py | report_cmd.py | cli.add_command(report) | ✓ WIRED | Line 16: from usher_pipeline.cli.report_cmd import report. Line 105: cli.add_command(report). |

### Requirements Coverage

| Requirement | Status | Supporting Evidence |
|-------------|--------|---------------------|
| OUTP-01: Tiered candidate list (high/medium/low confidence) based on composite score and evidence breadth | ✓ SATISFIED | tiers.py assign_tiers() with configurable thresholds. CLI report command applies tiering. |
| OUTP-02: Multi-dimensional evidence summary showing which layers support and which have gaps | ✓ SATISFIED | evidence_summary.py add_evidence_summary() adds supporting_layers and evidence_gaps columns. |
| OUTP-03: Structured machine-readable format (TSV and Parquet) compatible with downstream tools | ✓ SATISFIED | writers.py write_candidate_output() produces TSV and Parquet with identical data. YAML provenance sidecar includes column metadata. |
| OUTP-04: Basic visualizations (score distribution, evidence layer contribution, tier breakdown) | ✓ SATISFIED | visualizations.py implements all 3 plot types at 300 DPI. generate_all_plots() orchestrates. |
| OUTP-05: Reproducibility report documenting parameters, data versions, gene counts, validation metrics | ✓ SATISFIED | reproducibility.py generate_reproducibility_report() creates JSON and Markdown with all required metadata. |

### Anti-Patterns Found

None. No TODO/FIXME/PLACEHOLDER comments, no stub implementations, no empty returns found in output modules or report_cmd.py.

### Commits Verified

All commits from SUMMARYs exist in git history:

- d2ef3a2: feat(05-01): implement tiering logic and evidence summary module
- 4e46b48: feat(05-01): add dual-format writer with provenance and tests
- 150417f: feat(05-02): implement visualization module with matplotlib/seaborn plots
- 5af63ea: feat(05-02): implement reproducibility report module with JSON and Markdown output
- 2ab25ef: feat(05-03): implement CLI report command
- c10d595: test(05-03): add CliRunner integration tests for report command

### Test Coverage

| Test File | Tests | Status |
|-----------|-------|--------|
| test_output.py | 9 | ✓ VERIFIED (test count matches SUMMARY claim) |
| test_visualizations.py | 6 | ✓ VERIFIED (test count matches SUMMARY claim) |
| test_reproducibility.py | 7 | ✓ VERIFIED (test count matches SUMMARY claim) |
| test_report_cmd.py | 9 | ✓ VERIFIED (test count matches SUMMARY claim) |

**Note:** Tests cannot run due to dependency resolution issue (cellxgene-census version conflict), but test files exist with substantive implementations matching SUMMARY descriptions.

## Overall Status

**Status: passed**

All 6 success criteria are verified. All artifacts exist and are substantive. All key links are wired correctly. No anti-patterns detected. All commits exist. Test files exist with correct test counts.

The phase goal "User-facing interface and structured tiered output" is fully achieved:

1. Tiered candidate classification (HIGH/MEDIUM/LOW) based on composite score and evidence breadth
2. Multi-dimensional evidence summary (supporting_layers and evidence_gaps)
3. Dual-format output (TSV and Parquet) with YAML provenance sidecars
4. Visualizations (score distribution, layer contributions, tier breakdown) at 300 DPI
5. Unified CLI report command integrating all output modules
6. Reproducibility reports (JSON and Markdown) with parameters, versions, filtering steps, validation metrics

---

_Verified: 2026-02-12T12:00:00Z_
_Verifier: Claude (gsd-verifier)_
