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# Compounding Intelligence — Scripts API Reference
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*Generated: 2026-04-26 11:02 UTC*
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This document auto-documents the public API surface of all scripts
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in `scripts/`. Each section covers one script: module purpose,
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public functions, and their signatures.
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---
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## `scripts/api_doc_generator.py`
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API Doc Generator — Issue #98
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `extract_functions_from_ast` | `extract_functions_from_ast(tree, file_rel)` | Extract public function names, signatures, and first-line doc summaries. |
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| `parse_module` | `parse_module(filepath)` | Parse a Python file and return its module-level docstring and public functions. |
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| `scan_scripts_dir` | `scan_scripts_dir(scripts_dir)` | Scan all .py files in scripts/ and extract API info. |
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| `render_markdown` | `render_markdown(modules)` | Generate full docs/API.md content from the scanned modules. |
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| `render_json` | `render_json(modules)` | Emit machine-readable JSON version of the API reference. |
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| `main` | `main()` | - |
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## `scripts/automation_opportunity_finder.py`
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Automation Opportunity Finder — Scan fleet for manual processes that could be automated.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `analyze_cron_jobs` | `analyze_cron_jobs(hermes_home)` | Analyze cron job definitions for automation gaps. |
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| `analyze_documents` | `analyze_documents(root_dirs)` | Scan documentation for manual step patterns. |
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| `analyze_scripts` | `analyze_scripts(root_dirs)` | Detect repeated command sequences in scripts. |
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| `analyze_session_transcripts` | `analyze_session_transcripts(session_dirs)` | Find repeated tool-call patterns in session transcripts. |
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| `analyze_shell_history` | `analyze_shell_history(root_dirs)` | Find repeated shell commands from history files. |
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| `deduplicate_proposals` | `deduplicate_proposals(proposals)` | Remove duplicate proposals based on title similarity. |
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| `rank_proposals` | `rank_proposals(proposals)` | Sort proposals by impact * confidence (highest first). |
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| `format_text_report` | `format_text_report(proposals)` | Format proposals as human-readable text. |
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| `main` | `main()` | - |
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## `scripts/bootstrapper.py`
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Bootstrapper — assemble pre-session context from knowledge store.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `load_index` | `load_index(index_path)` | Load and validate the knowledge index. |
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| `filter_facts` | `filter_facts(facts, repo, agent, include_global)` | Filter facts by repo, agent, and global scope. |
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| `sort_facts` | `sort_facts(facts)` | Sort facts by: confidence (desc), then category priority, then fact text. |
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| `load_repo_knowledge` | `load_repo_knowledge(repo)` | Load per-repo knowledge markdown if it exists. |
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| `load_agent_knowledge` | `load_agent_knowledge(agent)` | Load per-agent knowledge markdown if it exists. |
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| `load_global_knowledge` | `load_global_knowledge()` | Load all global knowledge markdown files. |
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| `render_facts_section` | `render_facts_section(facts, category, label)` | Render a section of facts for a single category. |
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| `estimate_tokens` | `estimate_tokens(text)` | Rough token estimate. |
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| `truncate_to_tokens` | `truncate_to_tokens(text, max_tokens)` | Truncate text to approximately max_tokens, cutting at line boundaries. |
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| `build_bootstrap_context` | `build_bootstrap_context(repo, agent, include_global, max_tokens, index_path)` | Build the full bootstrap context block. |
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| `main` | `main()` | - |
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## `scripts/dead_code_detector.py`
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Dead Code Detector for Python Codebases
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `is_safe_unused` | `is_safe_unused(name, filepath)` | Check if an unused name is expected to be unused. |
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| `get_git_blame` | `get_git_blame(filepath, lineno)` | Get last author of a line via git blame. |
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| `analyze_file` | `analyze_file(filepath)` | Analyze a single Python file for dead code. |
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| `scan_repo` | `scan_repo(repo_path, exclude_patterns)` | Scan an entire repo for dead code. |
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| `main` | `main()` | - |
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## `scripts/dedup.py`
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dedup.py — Knowledge deduplication: content hash + semantic similarity.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `normalize_text` | `normalize_text(text)` | Normalize text for hashing: lowercase, collapse whitespace, strip. |
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| `content_hash` | `content_hash(text)` | SHA256 hash of normalized text for exact dedup. |
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| `tokenize` | `tokenize(text)` | Simple tokenizer: lowercase words, 3+ chars. |
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| `token_similarity` | `token_similarity(a, b)` | Token-based Jaccard similarity (0.0-1.0). |
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| `quality_score` | `quality_score(fact)` | Compute quality score for merge ranking. |
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| `merge_facts` | `merge_facts(keep, drop)` | Merge two near-duplicate facts, keeping higher-quality fields. |
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| `dedup_facts` | `dedup_facts(facts, exact_threshold, near_threshold, dry_run)` | Deduplicate a list of knowledge facts. |
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| `dedup_index_file` | `dedup_index_file(input_path, output_path, near_threshold, dry_run)` | Deduplicate an index.json file. |
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| `generate_test_duplicates` | `generate_test_duplicates(n)` | Generate test facts with intentional duplicates for testing. |
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| `main` | `main()` | - |
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## `scripts/dependency_graph.py`
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Cross-Repo Dependency Graph Builder
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `normalize_repo_name` | `normalize_repo_name(name)` | Normalize a repo name for comparison. |
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| `scan_file_for_deps` | `scan_file_for_deps(filepath, content, own_repo)` | Scan a file's content for references to other repos. |
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| `scan_repo` | `scan_repo(repo_path, repo_name)` | Scan a repo directory for dependencies. |
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| `detect_cycles` | `detect_cycles(graph)` | Detect circular dependencies using DFS. |
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| `to_dot` | `to_dot(graph)` | Generate DOT format output. |
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| `to_mermaid` | `to_mermaid(graph)` | Generate Mermaid format output. |
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| `main` | `main()` | - |
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## `scripts/diff_analyzer.py`
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Diff Analyzer — Parse unified diffs and categorize every change.
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*(no public functions — script runs as `main()` only)*
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## `scripts/freshness.py`
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Knowledge Freshness Cron — Detect stale entries from code changes (Issue #200)
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `compute_file_hash` | `compute_file_hash(filepath)` | Compute SHA-256 hash of a file. Returns None if file doesn't exist. |
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| `get_git_file_changes` | `get_git_file_changes(repo_path, days)` | Get files changed in git in the last N days. |
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| `load_knowledge_entries` | `load_knowledge_entries(knowledge_dir)` | Load knowledge entries from YAML files in the knowledge directory. |
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| `check_freshness` | `check_freshness(knowledge_dir, repo_root, days)` | Check freshness of knowledge entries against recent code changes. |
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| `update_stale_hashes` | `update_stale_hashes(knowledge_dir, repo_root)` | Update hashes for stale entries. Returns count of updated entries. |
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| `format_report` | `format_report(result, max_items)` | Format freshness check results as a human-readable report. |
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| `main` | `main()` | - |
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## `scripts/gitea_issue_parser.py`
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Gitea Issue Body Parser — Extract structured data from markdown issue bodies.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `parse_issue_body` | `parse_issue_body(body, title, labels)` | Parse a Gitea issue markdown body into structured JSON. |
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| `fetch_issue_from_url` | `fetch_issue_from_url(url)` | Fetch an issue from a Gitea API URL and parse it. |
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| `main` | `main()` | - |
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## `scripts/harvester.py`
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harvester.py — Extract durable knowledge from Hermes session transcripts.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `find_api_key` | `find_api_key()` | Find API key from common locations. |
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| `load_extraction_prompt` | `load_extraction_prompt()` | Load the extraction prompt template. |
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| `call_llm` | `call_llm(prompt, transcript, api_base, api_key, model)` | Call the LLM API to extract knowledge from a transcript. |
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| `parse_extraction_response` | `parse_extraction_response(content)` | Parse the LLM response to extract knowledge items. |
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| `load_existing_knowledge` | `load_existing_knowledge(knowledge_dir)` | Load the existing knowledge index. |
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| `fact_fingerprint` | `fact_fingerprint(fact)` | Generate a deduplication fingerprint for a fact. |
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| `deduplicate` | `deduplicate(new_facts, existing, similarity_threshold)` | Remove duplicate facts from new_facts that already exist in the knowledge store. |
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| `validate_fact` | `validate_fact(fact)` | Validate a single knowledge item has required fields. |
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| `write_knowledge` | `write_knowledge(index, new_facts, knowledge_dir, source_session)` | Write new facts to the knowledge store. |
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| `harvest_session` | `harvest_session(session_path, knowledge_dir, api_base, api_key, model, dry_run, min_confidence)` | Harvest knowledge from a single session. |
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| `batch_harvest` | `batch_harvest(sessions_dir, knowledge_dir, api_base, api_key, model, since, limit, dry_run)` | Harvest knowledge from multiple sessions in batch. |
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| `main` | `main()` | - |
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## `scripts/improvement_proposals.py`
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Improvement Proposal Generator for compounding-intelligence.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `analyze_sessions` | `analyze_sessions(sessions)` | Analyze session data to find waste patterns. |
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| `generate_proposals` | `generate_proposals(patterns, hourly_rate, implementation_overhead)` | Generate improvement proposals from waste patterns. |
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| `format_proposals_markdown` | `format_proposals_markdown(proposals, patterns, generated_at)` | Format proposals as a markdown document. |
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| `format_proposals_json` | `format_proposals_json(proposals)` | Format proposals as JSON. |
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| `main` | `main()` | - |
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## `scripts/knowledge_gap_identifier.py`
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Knowledge Gap Identifier — Pipeline 10.7
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*(no public functions — script runs as `main()` only)*
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## `scripts/knowledge_staleness_check.py`
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Knowledge Store Staleness Detector — Detect stale knowledge entries by comparing source file hashes.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `compute_file_hash` | `compute_file_hash(filepath)` | Compute SHA-256 hash of a file. Returns None if file doesn't exist. |
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| `check_staleness` | `check_staleness(index_path, repo_root)` | Check all entries in knowledge index for staleness. |
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| `fix_hashes` | `fix_hashes(index_path, repo_root)` | Add hashes to entries missing them. Returns count of fixed entries. |
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| `main` | `main()` | - |
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## `scripts/perf_bottleneck_finder.py`
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Performance Bottleneck Finder — Identify slow tests, builds, and CI steps.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `find_slow_tests_pytest` | `find_slow_tests_pytest(repo_path)` | Run pytest --durations and parse slow tests. |
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| `find_slow_tests_by_scan` | `find_slow_tests_by_scan(repo_path)` | Scan test files for patterns that indicate slow tests. |
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| `analyze_build_artifacts` | `analyze_build_artifacts(repo_path)` | Find large build artifacts that slow down builds. |
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| `analyze_makefile_targets` | `analyze_makefile_targets(repo_path)` | Analyze Makefile for potentially slow targets. |
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| `analyze_github_actions` | `analyze_github_actions(repo_path)` | Analyze GitHub Actions workflow files for inefficiencies. |
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| `analyze_gitea_ci` | `analyze_gitea_ci(repo_path)` | Analyze Gitea/Drone CI config files. |
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| `find_slow_imports` | `find_slow_imports(repo_path)` | Find Python files with heavy import chains. |
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| `severity_sort_key` | `severity_sort_key(b)` | Sort by severity then duration. |
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| `generate_report` | `generate_report(repo_path)` | Run all analyses and generate a performance report. |
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| `format_markdown` | `format_markdown(report)` | Format report as markdown. |
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| `main` | `main()` | - |
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## `scripts/priority_rebalancer.py`
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Priority Rebalancer — Re-evaluate issue priorities based on accumulated data.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `collect_knowledge_signals` | `collect_knowledge_signals(knowledge_dir)` | Analyze knowledge store for coverage gaps and staleness. |
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| `collect_staleness_signals` | `collect_staleness_signals(scripts_dir, knowledge_dir)` | Run staleness checker if available. |
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| `collect_metrics_signals` | `collect_metrics_signals(metrics_dir)` | Analyze metrics directory for pipeline health. |
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| `extract_priority` | `extract_priority(labels)` | Extract priority level from issue labels. |
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| `compute_issue_score` | `compute_issue_score(issue, repo, signals, now)` | Compute priority score for a single issue. |
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| `generate_report` | `generate_report(scores, signals, org, repos_scanned)` | Generate the full priority report. |
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| `generate_markdown_report` | `generate_markdown_report(report)` | Generate human-readable markdown report. |
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| `main` | `main()` | - |
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## `scripts/refactoring_opportunity_finder.py`
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Finds refactoring opportunities in codebases
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `compute_file_complexity` | `compute_file_complexity(filepath)` | Compute cyclomatic complexity for a Python file. |
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| `calculate_refactoring_score` | `calculate_refactoring_score(metrics)` | Calculate a refactoring priority score (0-100) based on file metrics. |
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| `scan_directory` | `scan_directory(directory, extensions)` | Scan directory for source files. |
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| `generate_proposals` | `generate_proposals(directory, min_score)` | Generate refactoring proposals by analyzing source files. |
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| `main` | `main()` | - |
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## `scripts/sampler.py`
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sampler.py — Score and rank sessions by harvest value.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `scan_session_fast` | `scan_session_fast(path)` | Extract scoring metadata from a session without parsing the full JSONL. |
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| `parse_session_timestamp` | `parse_session_timestamp(filename)` | Parse timestamp from session filename. |
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| `score_session` | `score_session(meta, now, seen_repos)` | Score a session for harvest value. Returns (score, breakdown). |
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| `main` | `main()` | - |
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## `scripts/session_metadata.py`
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session_metadata.py - Extract structured metadata from Hermes session transcripts.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `extract_session_metadata` | `extract_session_metadata(file_path)` | Extract structured metadata from a Hermes session JSONL transcript. |
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| `process_session_directory` | `process_session_directory(directory_path, output_file)` | Process all JSONL files in a directory. |
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| `main` | `main()` | CLI entry point. |
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## `scripts/session_pair_harvester.py`
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Session Transcript → Training Pair Harvester
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `compute_hash` | `compute_hash(text)` | Content hash for deduplication. |
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| `extract_pairs_from_session` | `extract_pairs_from_session(session_data, min_ratio, min_response_words)` | Extract terse→rich pairs from a single session object. |
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| `extract_from_jsonl_file` | `extract_from_jsonl_file(filepath, **kwargs)` | Extract pairs from a session JSONL file. |
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| `deduplicate_pairs` | `deduplicate_pairs(pairs)` | Remove duplicate pairs across files. |
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| `main` | `main()` | - |
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## `scripts/session_reader.py`
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session_reader.py — Parse Hermes session JSONL transcripts.
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `read_session` | `read_session(path)` | Read a session JSONL file and return all messages as a list. |
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| `read_session_iter` | `read_session_iter(path)` | Iterate over session messages without loading all into memory. |
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| `extract_conversation` | `extract_conversation(messages)` | Extract user/assistant conversation turns, skipping tool-only messages. |
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| `truncate_for_context` | `truncate_for_context(messages, head, tail)` | Truncate long sessions: keep first N + last N messages. |
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| `messages_to_text` | `messages_to_text(messages)` | Convert message list to plain text for LLM consumption. |
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| `get_session_metadata` | `get_session_metadata(path)` | Extract metadata from a session file (first message often has config info). |
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## `scripts/test_automation_opportunity_finder.py`
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Tests for scripts/automation_opportunity_finder.py — 8 tests.
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| Function | Signature | Description |
|
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|----------|-----------|-------------|
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| `test_analyze_cron_jobs_no_file` | `test_analyze_cron_jobs_no_file()` | Returns empty list when no cron jobs file exists. |
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| `test_analyze_cron_jobs_disabled` | `test_analyze_cron_jobs_disabled()` | Detects disabled cron jobs. |
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| `test_analyze_cron_jobs_errors` | `test_analyze_cron_jobs_errors()` | Detects cron jobs with error status. |
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| `test_analyze_documents_finds_todos` | `test_analyze_documents_finds_todos()` | Detects TODO markers in documents. |
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| `test_analyze_scripts_repeated_commands` | `test_analyze_scripts_repeated_commands()` | Detects repeated shell commands across scripts. |
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| `test_analyze_session_transcripts` | `test_analyze_session_transcripts()` | Detects repeated tool-call sequences. |
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| `test_deduplicate_proposals` | `test_deduplicate_proposals()` | Deduplicates proposals with similar titles. |
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| `test_rank_proposals` | `test_rank_proposals()` | Ranks proposals by impact * confidence. |
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## `scripts/test_bootstrapper.py`
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||||
Tests for bootstrapper.py — context assembly from knowledge store.
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||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `make_index` | `make_index(facts, tmp_dir)` | Create a temporary index.json with given facts. |
|
||||
| `test_empty_index` | `test_empty_index()` | Empty knowledge store produces graceful output. |
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||||
| `test_filter_by_repo` | `test_filter_by_repo()` | Filter facts by repository. |
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||||
| `test_filter_by_agent` | `test_filter_by_agent()` | Filter facts by agent type. |
|
||||
| `test_no_global_flag` | `test_no_global_flag()` | Excluding global facts works. |
|
||||
| `test_sort_by_confidence` | `test_sort_by_confidence()` | Facts sort by confidence descending. |
|
||||
| `test_sort_pitfalls_first` | `test_sort_pitfalls_first()` | Pitfalls sort before facts at same confidence. |
|
||||
| `test_truncate_to_tokens` | `test_truncate_to_tokens()` | Truncation cuts at line boundary. |
|
||||
| `test_estimate_tokens` | `test_estimate_tokens()` | Token estimation is reasonable. |
|
||||
| `test_build_full_context` | `test_build_full_context()` | Full context with facts renders correctly. |
|
||||
| `test_max_tokens_respected` | `test_max_tokens_respected()` | Output respects max_tokens limit. |
|
||||
| `test_missing_index_graceful` | `test_missing_index_graceful()` | Missing index.json doesn't crash. |
|
||||
|
||||
## `scripts/test_diff_analyzer.py`
|
||||
|
||||
Tests for scripts/diff_analyzer.py — 10 tests.
|
||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `test_empty` | `test_empty()` | - |
|
||||
| `test_addition` | `test_addition()` | - |
|
||||
| `test_deletion` | `test_deletion()` | - |
|
||||
| `test_modification` | `test_modification()` | - |
|
||||
| `test_rename` | `test_rename()` | - |
|
||||
| `test_multiple_files` | `test_multiple_files()` | - |
|
||||
| `test_binary` | `test_binary()` | - |
|
||||
| `test_to_dict` | `test_to_dict()` | - |
|
||||
| `test_context_only` | `test_context_only()` | - |
|
||||
| `test_multi_hunk` | `test_multi_hunk()` | - |
|
||||
| `run_all` | `run_all()` | - |
|
||||
|
||||
## `scripts/test_gitea_issue_parser.py`
|
||||
|
||||
Tests for scripts/gitea_issue_parser.py
|
||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `test_basic_parsing` | `test_basic_parsing()` | - |
|
||||
| `test_numbered_criteria` | `test_numbered_criteria()` | - |
|
||||
| `test_epic_ref_from_body` | `test_epic_ref_from_body()` | - |
|
||||
| `test_empty_body` | `test_empty_body()` | - |
|
||||
| `test_no_sections` | `test_no_sections()` | - |
|
||||
| `test_multiple_sections` | `test_multiple_sections()` | - |
|
||||
| `run_all` | `run_all()` | - |
|
||||
|
||||
## `scripts/test_harvest_prompt.py`
|
||||
|
||||
Test harness for knowledge extraction prompt.
|
||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `validate_knowledge_item` | `validate_knowledge_item(item, idx)` | Validate a single knowledge item. Returns list of errors. |
|
||||
| `validate_extraction` | `validate_extraction(data)` | Validate a full extraction result. Returns (is_valid, errors, warnings). |
|
||||
| `validate_transcript_coverage` | `validate_transcript_coverage(data, transcript)` | Check that extracted facts are actually supported by the transcript. |
|
||||
| `run_tests` | `run_tests()` | Run the built-in test suite. |
|
||||
| `validate_file` | `validate_file(filepath)` | Validate an existing extraction JSON file. |
|
||||
|
||||
## `scripts/test_harvest_prompt_comprehensive.py`
|
||||
|
||||
Comprehensive tests for knowledge extraction prompt.
|
||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `check_prompt_structure` | `check_prompt_structure()` | - |
|
||||
| `check_confidence_scoring` | `check_confidence_scoring()` | - |
|
||||
| `check_example_quality` | `check_example_quality()` | - |
|
||||
| `check_constraint_coverage` | `check_constraint_coverage()` | - |
|
||||
| `check_test_sessions` | `check_test_sessions()` | - |
|
||||
| `test_prompt_structure` | `test_prompt_structure()` | - |
|
||||
| `test_confidence_scoring` | `test_confidence_scoring()` | - |
|
||||
| `test_example_quality` | `test_example_quality()` | - |
|
||||
| `test_constraint_coverage` | `test_constraint_coverage()` | - |
|
||||
| `test_test_sessions` | `test_test_sessions()` | - |
|
||||
|
||||
## `scripts/test_harvester_pipeline.py`
|
||||
|
||||
Smoke test for harvester pipeline — verifies the full chain:
|
||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `test_session_reader` | `test_session_reader()` | Test that session_reader parses JSONL correctly. |
|
||||
| `test_validate_fact` | `test_validate_fact()` | Test fact validation. |
|
||||
| `test_deduplicate` | `test_deduplicate()` | Test deduplication. |
|
||||
| `test_knowledge_store_roundtrip` | `test_knowledge_store_roundtrip()` | Test loading and writing knowledge index. |
|
||||
| `test_full_chain_no_llm` | `test_full_chain_no_llm()` | Test the full pipeline minus the LLM call. |
|
||||
|
||||
## `scripts/test_improvement_proposals.py`
|
||||
|
||||
Tests for scripts/improvement_proposals.py — 15 tests.
|
||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `test_empty_sessions` | `test_empty_sessions()` | - |
|
||||
| `test_no_patterns_on_clean_sessions` | `test_no_patterns_on_clean_sessions()` | - |
|
||||
| `test_repeated_error_detection` | `test_repeated_error_detection()` | Same error across 3+ sessions triggers pattern. |
|
||||
| `test_repeated_error_threshold` | `test_repeated_error_threshold()` | 2 occurrences should NOT trigger (threshold is 3). |
|
||||
| `test_slow_tool_detection` | `test_slow_tool_detection()` | Tool with avg latency > 5000ms across 5+ calls. |
|
||||
| `test_fast_tool_not_flagged` | `test_fast_tool_not_flagged()` | Tool under 5000ms avg should not trigger. |
|
||||
| `test_failed_retry_detection` | `test_failed_retry_detection()` | 3+ consecutive calls to same tool triggers retry pattern. |
|
||||
| `test_manual_process_detection` | `test_manual_process_detection()` | 10+ tool calls with <= 3 unique tools. |
|
||||
| `test_generate_proposals_from_patterns` | `test_generate_proposals_from_patterns()` | Proposals generated from waste patterns. |
|
||||
| `test_proposal_roi_positive` | `test_proposal_roi_positive()` | ROI weeks should be a positive number for recoverable time. |
|
||||
| `test_proposals_sorted_by_impact` | `test_proposals_sorted_by_impact()` | Proposals should be sorted by monthly hours saved (descending). |
|
||||
| `test_format_markdown` | `test_format_markdown()` | Markdown output should contain expected sections. |
|
||||
| `test_format_json` | `test_format_json()` | JSON output should be valid and parseable. |
|
||||
| `test_normalize_error` | `test_normalize_error()` | Error normalization should remove paths and hashes. |
|
||||
| `test_cli_integration` | `test_cli_integration()` | End-to-end test: write input JSON, run script, check output. |
|
||||
| `run_all` | `run_all()` | - |
|
||||
|
||||
## `scripts/test_knowledge_staleness.py`
|
||||
|
||||
Tests for scripts/knowledge_staleness_check.py — 8 tests.
|
||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `test_fresh_entry` | `test_fresh_entry()` | - |
|
||||
| `test_stale_entry` | `test_stale_entry()` | - |
|
||||
| `test_missing_source` | `test_missing_source()` | - |
|
||||
| `test_no_hash` | `test_no_hash()` | - |
|
||||
| `test_no_source_field` | `test_no_source_field()` | - |
|
||||
| `test_fix_hashes` | `test_fix_hashes()` | - |
|
||||
| `test_empty_index` | `test_empty_index()` | - |
|
||||
| `test_compute_hash_nonexistent` | `test_compute_hash_nonexistent()` | - |
|
||||
| `run_all` | `run_all()` | - |
|
||||
|
||||
## `scripts/test_priority_rebalancer.py`
|
||||
|
||||
Tests for Priority Rebalancer
|
||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `test` | `test(name)` | - |
|
||||
| `assert_eq` | `assert_eq(a, b, msg)` | - |
|
||||
| `assert_true` | `assert_true(v, msg)` | - |
|
||||
| `assert_false` | `assert_false(v, msg)` | - |
|
||||
| `make_issue` | `make_issue(**kwargs)` | - |
|
||||
|
||||
## `scripts/test_refactoring_opportunity_finder.py`
|
||||
|
||||
Tests for scripts/refactoring_opportunity_finder.py — 10 tests.
|
||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `test_complexity_simple_function` | `test_complexity_simple_function()` | Simple function should have low complexity. |
|
||||
| `test_complexity_with_conditionals` | `test_complexity_with_conditionals()` | Function with if/else should have higher complexity. |
|
||||
| `test_complexity_with_loops` | `test_complexity_with_loops()` | Function with loops should increase complexity. |
|
||||
| `test_complexity_with_class` | `test_complexity_with_class()` | Class with methods should count both. |
|
||||
| `test_complexity_syntax_error` | `test_complexity_syntax_error()` | File with syntax error should return zeros. |
|
||||
| `test_refactoring_score_high_complexity` | `test_refactoring_score_high_complexity()` | High complexity should give high score. |
|
||||
| `test_refactoring_score_low_complexity` | `test_refactoring_score_low_complexity()` | Low complexity should give lower score. |
|
||||
| `test_refactoring_score_high_churn` | `test_refactoring_score_high_churn()` | High churn should increase score. |
|
||||
| `test_refactoring_score_no_coverage` | `test_refactoring_score_no_coverage()` | No coverage data should assume medium risk. |
|
||||
| `test_refactoring_score_large_file` | `test_refactoring_score_large_file()` | Large files should score higher. |
|
||||
| `run_all` | `run_all()` | - |
|
||||
|
||||
## `scripts/test_session_pair_harvester.py`
|
||||
|
||||
Tests for session_pair_harvester.
|
||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `test_basic_extraction` | `test_basic_extraction()` | - |
|
||||
| `test_filters_short_responses` | `test_filters_short_responses()` | - |
|
||||
| `test_skips_tool_results` | `test_skips_tool_results()` | - |
|
||||
| `test_deduplication` | `test_deduplication()` | - |
|
||||
| `test_ratio_filter` | `test_ratio_filter()` | - |
|
||||
|
||||
## `scripts/validate_knowledge.py`
|
||||
|
||||
Validate knowledge files and index.json against the schema.
|
||||
|
||||
| Function | Signature | Description |
|
||||
|----------|-----------|-------------|
|
||||
| `validate_fact` | `validate_fact(fact, src)` | - |
|
||||
| `main` | `main()` | - |
|
||||
|
||||
|
||||
---
|
||||
|
||||
**Total scripts documented:** 33
|
||||
|
||||
*Generated by `scripts/api_doc_generator.py` (Issue #98)*
|
||||
@@ -1,219 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
API Doc Generator — Issue #98
|
||||
|
||||
Scans all Python modules in `scripts/`, extracts their public API surface
|
||||
(module docstring + public function signatures + first-line doc summaries),
|
||||
and produces a single markdown reference document at `docs/API.md`.
|
||||
|
||||
Usage:
|
||||
python3 scripts/api_doc_generator.py # Write docs/API.md
|
||||
python3 scripts/api_doc_generator.py --check # Verify docs/API.md is up-to-date
|
||||
python3 scripts/api_doc_generator.py --json # Emit JSON for downstream tooling
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import ast
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
from typing import TypedDict, List, Optional
|
||||
|
||||
|
||||
# ─── Paths ────────────────────────────────────────────────────────────────────
|
||||
SCRIPT_DIR = Path(__file__).resolve().parent
|
||||
REPO_ROOT = SCRIPT_DIR.parent
|
||||
SCRIPTS_DIR = REPO_ROOT / "scripts"
|
||||
DOCS_DIR = REPO_ROOT / "docs"
|
||||
OUTPUT_PATH = DOCS_DIR / "API.md"
|
||||
|
||||
|
||||
# ─── Data structures ───────────────────────────────────────────────────────────
|
||||
class FunctionInfo(TypedDict):
|
||||
name: str
|
||||
signature: str
|
||||
summary: str
|
||||
|
||||
|
||||
class ModuleInfo(TypedDict):
|
||||
path: str # relative to repo root, e.g. "scripts/harvester.py"
|
||||
docstring: str
|
||||
functions: List[FunctionInfo]
|
||||
|
||||
|
||||
# ─── AST extraction ────────────────────────────────────────────────────────────
|
||||
def extract_functions_from_ast(tree: ast.AST, file_rel: str) -> List[FunctionInfo]:
|
||||
"""Extract public function names, signatures, and first-line doc summaries."""
|
||||
funcs: list[FunctionInfo] = []
|
||||
|
||||
for node in ast.iter_child_nodes(tree):
|
||||
if not isinstance(node, ast.FunctionDef):
|
||||
continue
|
||||
# Skip private functions
|
||||
if node.name.startswith("_"):
|
||||
continue
|
||||
|
||||
# Build signature: arg1, arg2=default, *args, **kwargs
|
||||
args = []
|
||||
for arg in node.args.args:
|
||||
args.append(arg.arg)
|
||||
if node.args.vararg:
|
||||
args.append(f"*{node.args.vararg.arg}")
|
||||
if node.args.kwarg:
|
||||
args.append(f"**{node.args.kwarg.arg}")
|
||||
|
||||
# Get first line of docstring
|
||||
summary = ""
|
||||
if (node.body and isinstance(node.body[0], ast.Expr) and
|
||||
isinstance(node.body[0].value, ast.Constant) and
|
||||
isinstance(node.body[0].value.value, str)):
|
||||
raw = node.body[0].value.value.strip()
|
||||
summary = raw.split("\n")[0].strip()
|
||||
if len(summary) > 100:
|
||||
summary = summary[:97] + "..."
|
||||
|
||||
funcs.append({
|
||||
"name": node.name,
|
||||
"signature": ", ".join(args),
|
||||
"summary": summary,
|
||||
})
|
||||
|
||||
return funcs
|
||||
|
||||
|
||||
def parse_module(filepath: Path) -> Optional[ModuleInfo]:
|
||||
"""Parse a Python file and return its module-level docstring and public functions."""
|
||||
try:
|
||||
with open(filepath, "r", encoding="utf-8") as f:
|
||||
source = f.read()
|
||||
tree = ast.parse(source, filename=str(filepath))
|
||||
except Exception as e:
|
||||
print(f"WARNING: Could not parse {filepath}: {e}", file=sys.stderr)
|
||||
return None
|
||||
|
||||
# Module docstring
|
||||
module_doc = ast.get_docstring(tree) or ""
|
||||
module_doc = module_doc.strip().split("\n")[0] # first line only
|
||||
|
||||
# Public functions
|
||||
functions = extract_functions_from_ast(tree, filepath.name)
|
||||
|
||||
rel = filepath.relative_to(REPO_ROOT)
|
||||
return {
|
||||
"path": str(rel),
|
||||
"docstring": module_doc,
|
||||
"functions": functions,
|
||||
}
|
||||
|
||||
|
||||
# ─── Scanning ──────────────────────────────────────────────────────────────────
|
||||
def scan_scripts_dir(scripts_dir: Path) -> List[ModuleInfo]:
|
||||
"""Scan all .py files in scripts/ and extract API info."""
|
||||
modules: list[ModuleInfo] = []
|
||||
for pyfile in sorted(scripts_dir.glob("*.py")):
|
||||
info = parse_module(pyfile)
|
||||
if info is not None:
|
||||
modules.append(info)
|
||||
return modules
|
||||
|
||||
|
||||
# ─── Markdown rendering ─────────────────────────────────────────────────────────
|
||||
def render_markdown(modules: List[ModuleInfo]) -> str:
|
||||
"""Generate full docs/API.md content from the scanned modules."""
|
||||
lines = [
|
||||
"# Compounding Intelligence — Scripts API Reference",
|
||||
"",
|
||||
f"*Generated: {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')}*",
|
||||
"",
|
||||
"This document auto-documents the public API surface of all scripts",
|
||||
"in `scripts/`. Each section covers one script: module purpose,",
|
||||
"public functions, and their signatures.",
|
||||
"",
|
||||
"---",
|
||||
"",
|
||||
]
|
||||
|
||||
for mod in modules:
|
||||
rel = mod["path"]
|
||||
name = Path(rel).stem # e.g. harvester
|
||||
lines.append(f"## `{rel}`")
|
||||
lines.append("")
|
||||
if mod["docstring"]:
|
||||
lines.append(mod["docstring"])
|
||||
lines.append("")
|
||||
|
||||
if mod["functions"]:
|
||||
lines.append("| Function | Signature | Description |")
|
||||
lines.append("|----------|-----------|-------------|")
|
||||
for fn in mod["functions"]:
|
||||
sig = fn["name"] + "(" + fn["signature"] + ")"
|
||||
desc = fn["summary"] or "-"
|
||||
lines.append(f"| `{fn['name']}` | `{sig}` | {desc} |")
|
||||
lines.append("")
|
||||
else:
|
||||
lines.append("*(no public functions — script runs as `main()` only)*")
|
||||
lines.append("")
|
||||
|
||||
lines.extend([
|
||||
"",
|
||||
"---",
|
||||
"",
|
||||
f"**Total scripts documented:** {len(modules)}",
|
||||
"",
|
||||
"*Generated by `scripts/api_doc_generator.py` (Issue #98)*",
|
||||
])
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
# ─── JSON output (optional, for automation) ───────────────────────────────────
|
||||
def render_json(modules: List[ModuleInfo]) -> str:
|
||||
"""Emit machine-readable JSON version of the API reference."""
|
||||
import json
|
||||
payload = {
|
||||
"generated_at": datetime.now(timezone.utc).isoformat(),
|
||||
"generator": "scripts/api_doc_generator.py",
|
||||
"repo": "Timmy_Foundation/compounding-intelligence",
|
||||
"modules": modules,
|
||||
}
|
||||
return json.dumps(payload, indent=2)
|
||||
|
||||
|
||||
# ─── Main ──────────────────────────────────────────────────────────────────────
|
||||
def main() -> int:
|
||||
import argparse
|
||||
parser = argparse.ArgumentParser(description="Generate API docs for scripts/")
|
||||
parser.add_argument("--check", action="store_true",
|
||||
help="Exit 1 if docs/API.md is out-of-date")
|
||||
parser.add_argument("--json", action="store_true",
|
||||
help="Emit JSON to stdout instead of writing markdown")
|
||||
args = parser.parse_args()
|
||||
|
||||
modules = scan_scripts_dir(SCRIPTS_DIR)
|
||||
modules.sort(key=lambda m: m["path"])
|
||||
|
||||
if args.json:
|
||||
print(render_json(modules))
|
||||
return 0
|
||||
|
||||
md = render_markdown(modules)
|
||||
|
||||
if args.check:
|
||||
if OUTPUT_PATH.exists():
|
||||
existing = OUTPUT_PATH.read_text(encoding="utf-8")
|
||||
if existing == md:
|
||||
print("✅ docs/API.md is up-to-date")
|
||||
return 0
|
||||
print("❌ docs/API.md is missing or out-of-date — regenerate with "
|
||||
"`python3 scripts/api_doc_generator.py`", file=sys.stderr)
|
||||
return 1
|
||||
|
||||
DOCS_DIR.mkdir(parents=True, exist_ok=True)
|
||||
OUTPUT_PATH.write_text(md, encoding="utf-8")
|
||||
print(f"✅ Wrote {OUTPUT_PATH} ({len(modules)} modules documented)")
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main())
|
||||
477
scripts/progress_tracker.py
Normal file
477
scripts/progress_tracker.py
Normal file
@@ -0,0 +1,477 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Progress Tracker — Pipeline 10.8
|
||||
Track improvement metrics over time. Are we getting better?
|
||||
|
||||
Metrics tracked:
|
||||
1. Test coverage — % of Python functions with associated tests (test:source file ratio + line coverage if available)
|
||||
2. Doc coverage — % of Python callables with docstrings (AST-based)
|
||||
3. Issue close rate — closed / (opened + closed) per week (Gitea API)
|
||||
4. Dep freshness — % of requirements pinned vs outdated (pip list --outdated)
|
||||
|
||||
Output:
|
||||
- metrics/snapshots/YYYY-MM-DD.json — one snapshot per run
|
||||
- metrics/TRENDS.md — cumulative markdown table
|
||||
- stdout summary
|
||||
|
||||
Usage:
|
||||
python3 scripts/progress_tracker.py
|
||||
python3 scripts/progress_tracker.py --json
|
||||
python3 scripts/progress_tracker.py --output metrics/TRENDS.md
|
||||
|
||||
Weekly cron:
|
||||
0 9 * * 1 cd /path/to/compounding-intelligence && python3 scripts/progress_tracker.py
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import subprocess
|
||||
import sys
|
||||
from collections import defaultdict
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, List, Optional, Tuple
|
||||
|
||||
# ── Configuration ──────────────────────────────────────────────────────────
|
||||
|
||||
SCRIPT_DIR = Path(__file__).resolve().parent
|
||||
REPO_ROOT = SCRIPT_DIR.parent
|
||||
METRICS_DIR = REPO_ROOT / "metrics"
|
||||
SNAPSHOTS_DIR = METRICS_DIR / "snapshots"
|
||||
TOKEN_PATH = Path.home() / ".config" / "gitea" / "token"
|
||||
GITEA_API_BASE = "https://forge.alexanderwhitestone.com/api/v1"
|
||||
ORG = "Timmy_Foundation"
|
||||
|
||||
# Ensure paths exist
|
||||
SNAPSHOTS_DIR.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
|
||||
# ── Helpers ─────────────────────────────────────────────────────────────────
|
||||
|
||||
def run_cmd(cmd: List[str], cwd: Path = REPO_ROOT) -> str:
|
||||
"""Run a shell command and return stdout (stderr merged)."""
|
||||
result = subprocess.run(
|
||||
cmd, capture_output=True, text=True, cwd=cwd, timeout=30
|
||||
)
|
||||
if result.returncode != 0:
|
||||
return ""
|
||||
return result.stdout.strip()
|
||||
|
||||
|
||||
def slugify_date(dt: datetime) -> str:
|
||||
return dt.strftime("%Y-%m-%d")
|
||||
|
||||
|
||||
def snapshot_path(dt: datetime) -> Path:
|
||||
return SNAPSHOTS_DIR / f"{slugify_date(dt)}.json"
|
||||
|
||||
|
||||
def load_snapshots() -> List[Dict[str, Any]]:
|
||||
"""Load all existing snapshots sorted by date."""
|
||||
snapshots = []
|
||||
for f in sorted(SNAPSHOTS_DIR.glob("*.json")):
|
||||
try:
|
||||
with open(f) as fp:
|
||||
snapshots.append(json.load(fp))
|
||||
except Exception:
|
||||
continue
|
||||
return snapshots
|
||||
|
||||
|
||||
# ── Metric 1: Test Coverage ─────────────────────────────────────────────────
|
||||
|
||||
def collect_test_coverage() -> Dict[str, Any]:
|
||||
"""
|
||||
Compute test coverage metrics.
|
||||
Counts test_*.py and *_test.py files vs non-test .py source files.
|
||||
Also attempts to read .coverage if present.
|
||||
"""
|
||||
all_py = list(REPO_ROOT.rglob("*.py"))
|
||||
|
||||
source_files = []
|
||||
test_files = []
|
||||
|
||||
for p in all_py:
|
||||
try:
|
||||
rel_parts = p.relative_to(REPO_ROOT).parts
|
||||
except ValueError:
|
||||
continue
|
||||
|
||||
# Skip hidden/cache/temp dirs (check only relative parts)
|
||||
if any(part.startswith('.') or part.startswith('__') for part in rel_parts):
|
||||
continue
|
||||
if any(part in ('node_modules', 'venv', '.venv', 'env', '.pytest_cache') for part in rel_parts):
|
||||
continue
|
||||
|
||||
if p.name.startswith("test_") or p.name.endswith("_test.py"):
|
||||
test_files.append(p)
|
||||
else:
|
||||
source_files.append(p)
|
||||
|
||||
# Try to get line coverage from .coverage
|
||||
coverage_percent = None
|
||||
coverage_tool = None
|
||||
coverage_file = REPO_ROOT / ".coverage"
|
||||
if coverage_file.exists():
|
||||
try:
|
||||
import coverage # type: ignore
|
||||
# Use coverage API if available
|
||||
cov = coverage.Coverage(data_file=str(coverage_file))
|
||||
cov.load()
|
||||
total = cov.report()
|
||||
coverage_percent = total if isinstance(total, float) else None
|
||||
coverage_tool = "coverage"
|
||||
except Exception:
|
||||
# Fallback: parse `coverage report` output
|
||||
out = run_cmd(["coverage", "report", "--skip-empty"])
|
||||
if out:
|
||||
for line in out.splitlines():
|
||||
if "TOTAL" in line:
|
||||
parts = line.split()
|
||||
if len(parts) >= 2:
|
||||
try:
|
||||
coverage_percent = float(parts[-1].rstrip('%'))
|
||||
coverage_tool = "coverage"
|
||||
break
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
return {
|
||||
"test_files": len(test_files),
|
||||
"source_files": len(source_files),
|
||||
"test_to_source_ratio": round(len(test_files) / len(source_files), 4) if source_files else 0.0,
|
||||
"coverage_tool": coverage_tool,
|
||||
"coverage_percent": coverage_percent,
|
||||
}
|
||||
|
||||
|
||||
# ── Metric 2: Doc Coverage ──────────────────────────────────────────────────
|
||||
|
||||
def collect_doc_coverage() -> Dict[str, Any]:
|
||||
"""
|
||||
Check AST of Python files for docstrings.
|
||||
Returns: callables_total, callables_with_doc, doc_coverage_percent
|
||||
"""
|
||||
import ast
|
||||
|
||||
all_py = list(REPO_ROOT.rglob("*.py"))
|
||||
|
||||
source_files = []
|
||||
test_files = []
|
||||
|
||||
for p in all_py:
|
||||
try:
|
||||
rel_parts = p.relative_to(REPO_ROOT).parts
|
||||
except ValueError:
|
||||
continue
|
||||
|
||||
if any(part.startswith('.') or part.startswith('__') for part in rel_parts):
|
||||
continue
|
||||
if any(part in ('node_modules', 'venv', '.venv', 'env', '.pytest_cache') for part in rel_parts):
|
||||
continue
|
||||
|
||||
if p.name.startswith("test_") or p.name.endswith("_test.py"):
|
||||
test_files.append(p)
|
||||
else:
|
||||
source_files.append(p)
|
||||
|
||||
total_callables = 0
|
||||
with_doc = 0
|
||||
|
||||
for p in source_files + test_files:
|
||||
try:
|
||||
with open(p) as f:
|
||||
tree = ast.parse(f.read(), filename=str(p))
|
||||
for node in ast.walk(tree):
|
||||
if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef, ast.ClassDef)):
|
||||
total_callables += 1
|
||||
doc = ast.get_docstring(node)
|
||||
if doc and doc.strip():
|
||||
with_doc += 1
|
||||
except Exception:
|
||||
continue
|
||||
|
||||
return {
|
||||
"callables_total": total_callables,
|
||||
"callables_with_doc": with_doc,
|
||||
"doc_coverage_percent": round((with_doc / total_callables * 100) if total_callables else 0.0, 2),
|
||||
}
|
||||
|
||||
|
||||
# ── Metric 3: Issue Close Rate ──────────────────────────────────────────────
|
||||
|
||||
def collect_issue_metrics() -> Dict[str, Any]:
|
||||
"""
|
||||
Use Gitea API to get issue open/close stats for the last 7 days.
|
||||
Returns counts and close rate.
|
||||
"""
|
||||
token = ""
|
||||
if TOKEN_PATH.exists():
|
||||
token = TOKEN_PATH.read_text().strip()
|
||||
|
||||
if not token:
|
||||
return {
|
||||
"opened_last_7d": None,
|
||||
"closed_last_7d": None,
|
||||
"close_rate": None,
|
||||
"total_open": None,
|
||||
"note": "Gitea token not available"
|
||||
}
|
||||
|
||||
try:
|
||||
from urllib.request import Request, urlopen
|
||||
from urllib.error import HTTPError, URLError
|
||||
except ImportError:
|
||||
return {"error": "urllib not available"}
|
||||
|
||||
now = datetime.now(timezone.utc)
|
||||
week_ago = now - timedelta(days=7)
|
||||
since = week_ago.strftime("%Y-%m-%d")
|
||||
|
||||
headers = {"Authorization": f"token {token}"}
|
||||
base_url = f"{GITEA_API_BASE}/repos/{ORG}/compounding-intelligence/issues"
|
||||
|
||||
try:
|
||||
# Get issues from last 7 days
|
||||
url = f"{base_url}?state=all&since={since}&per_page=100"
|
||||
req = Request(url, headers=headers)
|
||||
with urlopen(req, timeout=15) as resp:
|
||||
issues = json.loads(resp.read())
|
||||
|
||||
opened = 0
|
||||
closed = 0
|
||||
for issue in issues:
|
||||
created = datetime.fromisoformat(issue["created_at"].replace("Z", "+00:00"))
|
||||
if created >= week_ago:
|
||||
opened += 1
|
||||
if issue.get("state") == "closed":
|
||||
closed_at_str = issue.get("closed_at")
|
||||
if closed_at_str:
|
||||
closed_at = datetime.fromisoformat(closed_at_str.replace("Z", "+00:00"))
|
||||
if closed_at >= week_ago:
|
||||
closed += 1
|
||||
|
||||
# Total open issues
|
||||
req2 = Request(f"{base_url}?state=open&per_page=1", headers=headers)
|
||||
with urlopen(req2, timeout=15) as resp:
|
||||
total_open = int(resp.headers.get("X-Total-Count", "0"))
|
||||
|
||||
total = opened + closed
|
||||
close_rate = closed / total if total > 0 else 0.0
|
||||
|
||||
return {
|
||||
"opened_last_7d": opened,
|
||||
"closed_last_7d": closed,
|
||||
"close_rate": round(close_rate, 4),
|
||||
"total_open": total_open,
|
||||
}
|
||||
except Exception as e:
|
||||
return {
|
||||
"opened_last_7d": None,
|
||||
"closed_last_7d": None,
|
||||
"close_rate": None,
|
||||
"total_open": None,
|
||||
"error": str(e)[:100],
|
||||
"note": "Gitea API unavailable"
|
||||
}
|
||||
|
||||
|
||||
# ── Metric 4: Dependency Freshness ─────────────────────────────────────────
|
||||
|
||||
def collect_dep_freshness() -> Dict[str, Any]:
|
||||
"""
|
||||
Check requirements.txt for outdated dependencies using pip list --outdated.
|
||||
Returns freshness percentage and outdated list.
|
||||
"""
|
||||
req_file = REPO_ROOT / "requirements.txt"
|
||||
if not req_file.exists():
|
||||
return {
|
||||
"total_deps": 0,
|
||||
"outdated_deps": 0,
|
||||
"freshness_percent": 100.0,
|
||||
"outdated_list": [],
|
||||
"note": "requirements.txt not found"
|
||||
}
|
||||
|
||||
# Parse requirements (very simple: take name before comparison op)
|
||||
reqs = []
|
||||
with open(req_file) as f:
|
||||
for line in f:
|
||||
line = line.strip()
|
||||
if not line or line.startswith("#"):
|
||||
continue
|
||||
m = re.match(r"^([a-zA-Z0-9_.-]+)", line)
|
||||
if m:
|
||||
reqs.append(m.group(1))
|
||||
|
||||
if not reqs:
|
||||
return {"total_deps": 0, "outdated_deps": 0, "freshness_percent": 100.0, "outdated_list": []}
|
||||
|
||||
# Query pip for outdated packages (may fail if pip not available)
|
||||
outdated_names = set()
|
||||
try:
|
||||
out = run_cmd(["pip", "list", "--outdated", "--format=json"])
|
||||
if out:
|
||||
data = json.loads(out)
|
||||
outdated_names = {item["name"].lower() for item in data}
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
outdated = [p for p in reqs if p.lower() in outdated_names]
|
||||
total = len(reqs)
|
||||
outdated_count = len(outdated)
|
||||
freshness = round(((total - outdated_count) / total * 100) if total else 100.0, 1)
|
||||
|
||||
return {
|
||||
"total_deps": total,
|
||||
"outdated_deps": outdated_count,
|
||||
"freshness_percent": freshness,
|
||||
"outdated_list": outdated,
|
||||
}
|
||||
|
||||
|
||||
# ── Snapshot & Trends ───────────────────────────────────────────────────────
|
||||
|
||||
def take_snapshot() -> Dict[str, Any]:
|
||||
"""Collect all metrics and return a snapshot dict."""
|
||||
now = datetime.now(timezone.utc)
|
||||
test_cov = collect_test_coverage()
|
||||
doc_cov = collect_doc_coverage()
|
||||
issues = collect_issue_metrics()
|
||||
deps = collect_dep_freshness()
|
||||
|
||||
return {
|
||||
"timestamp": now.isoformat(),
|
||||
"date": slugify_date(now),
|
||||
"metrics": {
|
||||
"test_coverage": test_cov,
|
||||
"doc_coverage": doc_cov,
|
||||
"issues": issues,
|
||||
"dependencies": deps,
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
def save_snapshot(snapshot: Dict[str, Any]) -> Path:
|
||||
path = snapshot_path(datetime.fromisoformat(snapshot["timestamp"]))
|
||||
with open(path, "w") as f:
|
||||
json.dump(snapshot, f, indent=2)
|
||||
return path
|
||||
|
||||
|
||||
def generate_trends(snapshots: List[Dict[str, Any]], output_path: Optional[Path] = None) -> str:
|
||||
"""Generate markdown trends table; optionally write to file."""
|
||||
if not snapshots:
|
||||
msg = "# Progress Tracker — Trends\n\nNo snapshots yet. Run `progress_tracker.py` to create the first snapshot."
|
||||
if output_path:
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
output_path.write_text(msg)
|
||||
return msg
|
||||
|
||||
lines = [
|
||||
"# Progress Tracker — Trends",
|
||||
f"\nLast updated: {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')}",
|
||||
f"\nSnapshots: {len(snapshots)}\n",
|
||||
"| Date | Test Files → Source | Doc Coverage | Issues Closed/Opened (7d) | Dep Freshness |",
|
||||
"|------|---------------------|--------------|---------------------------|---------------|",
|
||||
]
|
||||
|
||||
for snap in reversed(snapshots): # chronological
|
||||
date = snap["date"]
|
||||
m = snap["metrics"]
|
||||
tc = m["test_coverage"]
|
||||
test_str = f"{tc['test_files']}/{tc['source_files']} ({tc['test_to_source_ratio']:.2f})"
|
||||
doc_str = f"{m['doc_coverage']['doc_coverage_percent']:.1f}%"
|
||||
issues_str = f"{m['issues'].get('closed_last_7d','-')}/{m['issues'].get('opened_last_7d','-')}"
|
||||
dep_str = f"{m['dependencies'].get('freshness_percent','?')}%"
|
||||
lines.append(f"| {date} | {test_str} | {doc_str} | {issues_str} | {dep_str} |")
|
||||
|
||||
# Current snapshot summary
|
||||
cur = snapshots[-1]
|
||||
cm = cur["metrics"]
|
||||
lines.append(f"\n## Current Snapshot ({cur['date']})\n")
|
||||
|
||||
tc = cm["test_coverage"]
|
||||
cov_line = f"- Test coverage: {tc['coverage_percent']:.1f}% (via {tc['coverage_tool']})\n" if tc["coverage_percent"] else "- Test coverage: (pytest-cov not configured)\n"
|
||||
lines.append(cov_line)
|
||||
lines.append(f"- Doc coverage: {cm['doc_coverage']['doc_coverage_percent']:.1f}%")
|
||||
|
||||
im = cm["issues"]
|
||||
if im.get("close_rate") is not None:
|
||||
lines.append(f"- Issue close rate (7d): {im['close_rate']*100:.1f}% ({im['closed_last_7d']} closed, {im['opened_last_7d']} opened)")
|
||||
else:
|
||||
lines.append(f"- Issue metrics: {im.get('note','unavailable')}")
|
||||
|
||||
dd = cm["dependencies"]
|
||||
lines.append(f"- Dep freshness: {dd.get('freshness_percent','?')}% outdated ({dd.get('outdated_deps',0)}/{dd.get('total_deps',0)} deps)")
|
||||
if dd.get('outdated_list'):
|
||||
lines.append(f" Outdated: {', '.join(dd['outdated_list'][:5])}")
|
||||
|
||||
content = "\n".join(lines) + "\n"
|
||||
|
||||
if output_path:
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
output_path.write_text(content)
|
||||
|
||||
return content
|
||||
|
||||
|
||||
# ── Main ─────────────────────────────────────────────────────────────────────
|
||||
|
||||
def main() -> int:
|
||||
parser = argparse.ArgumentParser(description="Progress Tracker — 10.8")
|
||||
parser.add_argument("--json", action="store_true", help="Emit snapshot as JSON only")
|
||||
parser.add_argument("--output", type=Path, default=METRICS_DIR / "TRENDS.md",
|
||||
help="Write trends markdown to this file")
|
||||
args = parser.parse_args()
|
||||
|
||||
snapshot = take_snapshot()
|
||||
all_snapshots = load_snapshots()
|
||||
path_written = save_snapshot(snapshot)
|
||||
|
||||
if args.json:
|
||||
print(json.dumps(snapshot, indent=2))
|
||||
return 0
|
||||
|
||||
trends = generate_trends(all_snapshots + [snapshot], output_path=args.output)
|
||||
|
||||
# Print current snapshot summary
|
||||
print(f"Snapshot saved: {path_written}\n")
|
||||
print(f"Progress Tracker — {snapshot['date']}")
|
||||
print("=" * 50)
|
||||
|
||||
m = snapshot["metrics"]
|
||||
tc = m["test_coverage"]
|
||||
print(f"Test files: {tc['test_files']} | Source files: {tc['source_files']} | Ratio: {tc['test_to_source_ratio']:.3f}")
|
||||
if tc["coverage_percent"] is not None:
|
||||
print(f"Line coverage: {tc['coverage_percent']:.1f}% (via {tc['coverage_tool']})")
|
||||
else:
|
||||
print("Line coverage: (not available — run `pytest --cov`)")
|
||||
|
||||
print()
|
||||
dc = m["doc_coverage"]
|
||||
print(f"Callables with docstrings: {dc['callables_with_doc']}/{dc['callables_total']} ({dc['doc_coverage_percent']:.1f}%)")
|
||||
|
||||
print()
|
||||
im = m["issues"]
|
||||
if im.get("close_rate") is not None:
|
||||
print(f"Issues (7d): {im['closed_last_7d']} closed / {im['opened_last_7d']} opened → close rate: {im['close_rate']*100:.1f}%")
|
||||
print(f"Total open: {im['total_open']}")
|
||||
else:
|
||||
print(f"Issues: {im.get('note','unavailable')}")
|
||||
|
||||
print()
|
||||
dd = m["dependencies"]
|
||||
print(f"Dependencies: {dd.get('total_deps',0)} total, {dd.get('outdated_deps',0)} outdated")
|
||||
if dd.get('outdated_list'):
|
||||
shown = dd['outdated_list'][:5]
|
||||
print(f"Outdated: {', '.join(shown)}" + ("..." if len(dd['outdated_list']) > 5 else ""))
|
||||
|
||||
print(f"\nTrends written to: {args.output}")
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main())
|
||||
@@ -1,148 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Smoke tests for API Doc Generator — Issue #98
|
||||
|
||||
Validates that the generator runs, produces docs/API.md, and that
|
||||
the generated markdown contains expected sections for the known scripts.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import subprocess
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
# Resolve repo root
|
||||
REPO_ROOT = Path(__file__).resolve().parents[1]
|
||||
SCRIPTS_DIR = REPO_ROOT / "scripts"
|
||||
DOCS_DIR = REPO_ROOT / "docs"
|
||||
API_MD = DOCS_DIR / "API.md"
|
||||
GENERATOR = SCRIPTS_DIR / "api_doc_generator.py"
|
||||
|
||||
|
||||
# ─── Generator presence ─────────────────────────────────────────────────────────
|
||||
class TestGeneratorPresence:
|
||||
def test_generator_script_exists(self):
|
||||
assert GENERATOR.exists(), f"Missing: {GENERATOR}"
|
||||
|
||||
def test_generator_is_executable(self):
|
||||
with open(GENERATOR) as f:
|
||||
first = f.readline().strip()
|
||||
assert first.startswith("#!"), "Missing shebang"
|
||||
assert "python" in first.lower()
|
||||
|
||||
|
||||
# ─── API.md generation ──────────────────────────────────────────────────────────
|
||||
class TestAPIDocGeneration:
|
||||
def test_generator_runs_successfully(self):
|
||||
"""Run the generator and verify exit code 0."""
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR)],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=30
|
||||
)
|
||||
assert result.returncode == 0, (
|
||||
f"Generator failed (code {{result.returncode}})\n"
|
||||
f"STDERR: {{result.stderr[:500]}}"
|
||||
)
|
||||
|
||||
def test_api_md_is_created(self):
|
||||
"""docs/API.md must exist after generation."""
|
||||
assert API_MD.exists(), f"Missing output: {API_MD}"
|
||||
|
||||
def test_api_md_is_not_empty(self):
|
||||
"""Generate markdown must have substantial content."""
|
||||
content = API_MD.read_text(encoding="utf-8")
|
||||
assert len(content) > 1000, "API.md is suspiciously small"
|
||||
|
||||
def test_api_md_has_expected_structure(self):
|
||||
"""Top-level headings and table markers must be present."""
|
||||
content = API_MD.read_text(encoding="utf-8")
|
||||
assert "# Compounding Intelligence — Scripts API Reference" in content
|
||||
assert "## `scripts/" in content
|
||||
assert "| Function | Signature | Description |" in content
|
||||
|
||||
def test_api_md_covers_expected_scripts(self):
|
||||
"""At minimum the core scripts should be documented."""
|
||||
content = API_MD.read_text(encoding="utf-8")
|
||||
# Core scripts that must appear
|
||||
core = ["scripts/harvester.py", "scripts/bootstrapper.py",
|
||||
"scripts/session_reader.py", "scripts/dedup.py"]
|
||||
for rel in core:
|
||||
assert f"## `{rel}`" in content, f"Missing section for {rel}"
|
||||
|
||||
def test_api_md_contains_function_names(self):
|
||||
"""Spot-check: known public functions from key modules must appear."""
|
||||
content = API_MD.read_text(encoding="utf-8")
|
||||
checks = [
|
||||
("harvester", "read_session"),
|
||||
("bootstrapper", "load_index"),
|
||||
("session_reader", "extract_conversation"),
|
||||
("dedup", "normalize_text"),
|
||||
]
|
||||
for module_stem, func_name in checks:
|
||||
assert f"| `{func_name}` |" in content, f"Missing function {func_name} from {module_stem}"
|
||||
|
||||
|
||||
# ─── Idempotence / --check ─────────────────────────────────────────────────────
|
||||
class TestIdempotence:
|
||||
def test_check_flag_passes_when_current(self):
|
||||
"""`--check` should exit 0 immediately after generation."""
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR), "--check"],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=30
|
||||
)
|
||||
assert result.returncode == 0, (
|
||||
f"--check failed\nSTDOUT: {{result.stdout}}\nSTDERR: {{result.stderr[:200]}}"
|
||||
)
|
||||
|
||||
def test_check_fails_when_api_md_stale(self):
|
||||
"""If docs/API.md is manually altered, --check should detect staleness."""
|
||||
# Generate fresh baseline first
|
||||
subprocess.run([sys.executable, str(GENERATOR)], capture_output=True, cwd=REPO_ROOT, timeout=30)
|
||||
|
||||
# Corrupt API.md slightly (append a line at the end)
|
||||
original = API_MD.read_text(encoding="utf-8")
|
||||
corrupted = original + "\n<!-- corrupted -->\n"
|
||||
API_MD.write_text(corrupted, encoding="utf-8")
|
||||
|
||||
# --check should now fail
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR), "--check"],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=30
|
||||
)
|
||||
assert result.returncode != 0, "--check should detect stale API.md"
|
||||
assert "out-of-date" in result.stderr.lower() or "out-of-date" in result.stdout.lower()
|
||||
|
||||
# Restore clean state
|
||||
subprocess.run([sys.executable, str(GENERATOR)], capture_output=True, cwd=REPO_ROOT, timeout=30)
|
||||
assert API_MD.read_text(encoding="utf-8") == original
|
||||
|
||||
# ─── JSON output ────────────────────────────────────────────────────────────────
|
||||
class TestJSONOutput:
|
||||
def test_json_flag_emits_valid_json(self):
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR), "--json"],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=30
|
||||
)
|
||||
assert result.returncode == 0
|
||||
import json
|
||||
payload = json.loads(result.stdout)
|
||||
assert "modules" in payload
|
||||
assert len(payload["modules"]) >= 30
|
||||
|
||||
def test_json_has_expected_fields(self):
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR), "--json"],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=30
|
||||
)
|
||||
import json
|
||||
payload = json.loads(result.stdout)
|
||||
mod = payload["modules"][0]
|
||||
for key in ("path", "docstring", "functions"):
|
||||
assert key in mod, f"Missing key {{key}} in module payload"
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
pytest.main([__file__, "-v"])
|
||||
Reference in New Issue
Block a user