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Markdown dependency analyzer โ€” extract all dependencies, generate diagrams and charts

Project description

mdflow

AI Cost Tracking

PyPI Version Python License AI Cost Human Time Model

  • ๐Ÿค– LLM usage: $0.7500 (5 commits)
  • ๐Ÿ‘ค Human dev: ~$200 (2.0h @ $100/h, 30min dedup)

Generated on 2026-05-03 using openrouter/qwen/qwen3-coder-next


Markdown dependency analyzer โ€” extract all dependencies, generate diagrams and charts.

mdflow parses Markdown files and extracts every possible structural element: headings, links, fenced code blocks (including markpact:* embedded file references), list items, TOON/YAML quality sections, and document metadata. It then generates Mermaid diagrams, HTML reports, and Markdown summaries.


What it extracts

Element Details
Headings Full H1โ€“H6 hierarchy, anchor slugs
Links [text](href) โ€” classified as internal / external / anchor / image
Code blocks Language, content, line range, markpact:type path=... metadata
List items Depth, parent heading, clean text
TOON sections ALERTS, REFACTOR, HOTSPOTS, HEALTH, NEXT, RISKS, PIPELINESโ€ฆ
Document metadata ## Metadata key/value lists
Cross-doc dependencies Links between files, markpact embedded file paths

Generated outputs

Output Description
{stem}_report.html Self-contained HTML report with all diagrams (Mermaid.js)
{stem}_report.md Markdown summary with inline Mermaid
{stem}_heading_mindmap.mermaid Mindmap of heading hierarchy
{stem}_section_flow.mermaid Section flowchart with code/link annotations
{stem}_code_pie.mermaid Pie chart of code blocks by language
{stem}_markpact_graph.mermaid Graph of embedded file references
{stem}_alerts_graph.mermaid TOON alerts & refactor tasks flowchart
{stem}_workflow.mermaid DOQL workflow steps diagram
dependency_graph.html Cross-document dependency graph (directory scan)

Installation

# Clone or copy the mdflow/ directory, then:
pip install -e .
# No mandatory dependencies โ€” pure stdlib.

Usage

Python API

from mdflow import MdFlow

flow = MdFlow()

# โ”€โ”€ Single file โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
doc = flow.parse("SUMR.md")

print(doc.title)                        # "Ze ลบrรณdeล‚"
print(len(doc.headings))               # 24
print([ts.name for ts in doc.toon_sections])  # ['HEALTH', 'REFACTOR', ...]
print(doc.metadata)                    # {'name': 'redsl', 'version': '1.2.45', ...}

# Access markpact embedded file references
for cb in doc.markpact_blocks:
    print(f"markpact:{cb.markpact_type}  path={cb.markpact_path}")

# Get TOON quality metrics
metrics = flow.toon_metrics(doc)
print(metrics["health"])               # {'cc_mean': 20.0, 'critical': 7}
print(metrics["refactors"][:3])        # list of refactor tasks

# Get all Mermaid diagrams as strings (no files written)
diagrams = flow.diagrams(doc)
print(diagrams["section_flow"])        # flowchart TD ...

# Generate reports to disk
flow.report(doc, "output/")            # writes HTML + MD + .mermaid files

# โ”€โ”€ Directory scan โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
docs, graph = flow.scan("docs/", "output/")
print(f"{len(docs)} files, {len(graph.edges)} dependency edges")

CLI

# Analyze a single file
mdflow analyze SUMR.md --output output/

# Select formats
mdflow analyze SUMR.md --format html,md

# Scan a directory
mdflow scan docs/ --output output/

# Print a specific Mermaid diagram to stdout
mdflow diagram SUMR.md --diagram section_flow
mdflow diagram SUMR.md --diagram list        # list available diagrams

# Write diagram to file
mdflow diagram SUMR.md --diagram alerts_graph -o alerts.mermaid

Mermaid validation

Every generated .mermaid file is automatically validated before writing. Detected issues are printed inline and written as tickets to TODO.md:

[mdflow] โš  1 error(s) output/SUMR_section_flow.mermaid
  โœ— [BACKTICK_IN_LABEL] Backtick inside node label (line 5): ...
[mdflow] โ†’ 1 validation ticket(s) written to TODO.md

Validation checks: EMPTY_DIAGRAM, NO_DIAGRAM_TYPE, BACKTICK_IN_LABEL, DUPLICATE_NODE_ID, MINDMAP_ILLEGAL_CHARS.


Quality tooling

mdflow uses prefact and pyqual for automated code quality gates.

# Run full quality loop (prefact scan โ†’ ruff โ†’ pytest โ†’ LLM fix on fail)
task quality          # alias: pyqual run

# Scan for code issues (duplicate imports, wildcard imports, โ€ฆ)
task prefact          # alias: prefact scan -p .

# Auto-fix detected issues
task prefact-fix      # alias: prefact fix -p .

A git pre-commit hook (.git/hooks/pre-commit) runs all checks automatically before every commit and blocks on failures, writing tickets to TODO.md.


Testing

Unit tests

pytest tests/ -v

E2E / CLI tests (TestQL)

142 scenarios covering CLI commands, output file validation, and integration with real semcod workspace projects:

# All scenarios
task testql-run

# Smoke only (help, subcommands)
task testql-smoke

# Full E2E (analyze, scan, diagram, semcod projects, mermaid validation)
task testql-e2e

# Single scenario
testql run testql-scenarios/02_cli_analyze_e2e.testql.toon.yaml

Scenarios in testql-scenarios/:

File Tests Scope
01_cli_help_version 16 help, subcommand help
02_cli_analyze_e2e 35 analyze: HTML/MD/mermaid output
03_cli_scan_e2e 13 scan: per_file output, dependency graph
04_cli_diagram_e2e 23 diagram: list, stdout, file, unknown name
05_e2e_semcod_projects 30 prefact, pyqual, planfile, goal SUMD.md
06_e2e_mermaid_validation 22 backtick-free labels, pie title format

Architecture

mdflow/
โ”œโ”€โ”€ __init__.py         โ† MdFlow faรงade (high-level API)
โ”œโ”€โ”€ models.py           โ† Data classes: MdDocument, DependencyGraph, โ€ฆ
โ”œโ”€โ”€ parser.py           โ† Core Markdown parser (stdlib only)
โ”œโ”€โ”€ validators.py       โ† Mermaid diagram validator + TODO.md ticket writer
โ”œโ”€โ”€ analyzers/
โ”‚   โ””โ”€โ”€ __init__.py     โ† DependencyAnalyzer, StructureAnalyzer,
โ”‚                          CodeInventoryAnalyzer, ToonAnalyzer
โ”œโ”€โ”€ generators/
โ”‚   โ”œโ”€โ”€ __init__.py
โ”‚   โ”œโ”€โ”€ mermaid.py      โ† All Mermaid diagram generators
โ”‚   โ”œโ”€โ”€ html.py         โ† Self-contained HTML report (split into helpers)
โ”‚   โ””โ”€โ”€ markdown.py     โ† Markdown summary report (split into helpers)
โ””โ”€โ”€ cli.py              โ† argparse CLI entry point

Examples

Basic

  • examples/basic/01_parse_single_file.py โ€” Parse and inspect a single document
  • examples/basic/02_generate_reports.py โ€” Generate HTML, Markdown, and Mermaid reports
  • examples/basic/03_diagrams_as_strings.py โ€” Get diagrams as strings (no file I/O)
  • examples/basic/04_cli_basics.sh โ€” CLI: analyze, scan, diagram

Advanced

  • examples/advanced/01_directory_scan.py โ€” Scan a directory, build dependency graphs
  • examples/advanced/02_toon_analysis.py โ€” Extract TOON quality metrics
  • examples/advanced/03_custom_diagram_pipeline.py โ€” Custom HTML with selected diagrams

API / Extensibility

  • examples/api/01_low_level_parser.py โ€” Use MdParser directly
  • examples/api/02_custom_analyzer.py โ€” Build your own analyzer

semcod workspace

  • examples/semcod/analyze_prefact.py โ€” Parse prefact/SUMD.md, extract TOON metrics
  • examples/semcod/scan_semcod_workspace.py โ€” Scan 6 semcod projects, cross-project TOON summary
  • examples/semcod/toon_comparison.py โ€” CC/alerts/refactors comparison table across projects
  • examples/semcod/04_cli_semcod.sh โ€” CLI shell examples for the semcod workspace
python examples/semcod/toon_comparison.py
python examples/semcod/scan_semcod_workspace.py

Supported TOON sections

mdflow recognises these TOON section names inside toon / yaml code blocks and in blocks tagged markpact:analysis:

ALERTS ยท REFACTOR ยท HOTSPOTS ยท HEALTH ยท NEXT ยท RISKS ยท PIPELINES ยท DUPLICATES ยท WARNINGS ยท MODULES ยท EVOLUTION ยท COUPLING


Extension points

  • Custom extractor: subclass or monkey-patch MdParser
  • Custom diagram: call flow.diagrams(doc) and extend the mermaid module
  • Graphviz output: install graphviz Python package and use DependencyGraph data directly

License

Licensed under Apache-2.0.

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