| |
| """Render README resources as compact, metadata-rich Markdown tables.""" |
|
|
| from __future__ import annotations |
|
|
| import argparse |
| import sys |
| from collections import Counter |
| from pathlib import Path |
|
|
| from export_resource_dataset import README, TYPE_MARKERS, iter_rows |
|
|
|
|
| TABLE_HEADERS = ("Resource", "Published at", "Key feature") |
| LEGACY_TABLE_HEADERS = {TABLE_HEADERS, ("Resource", "Publication / source", "Key feature")} |
| SUMMARY_START = "<!-- resource-type-summary:start -->" |
| SUMMARY_END = "<!-- resource-type-summary:end -->" |
| PROJECT_GITHUB_REPO = "chaoyue0307/awesome-loop-engineering" |
|
|
| TYPE_DESCRIPTIONS = { |
| "Paper": "Academic paper, preprint, or technical report", |
| "Blog": "Essay, field note, article, or practitioner write-up", |
| "Docs": "Official product, API, SDK, or platform documentation", |
| "Tool": "Repository, framework, SDK, runtime, or implementation", |
| "Benchmark": "Benchmark, eval suite, leaderboard, or evaluation dataset", |
| "Pattern": "Operational playbook or reusable workflow", |
| "Template": "Template, checklist, schema, guide, or contribution artifact", |
| "List": "Adjacent awesome list, ecosystem map, or curated collection", |
| "Critique": "Risk analysis, limitation, caveat, or skeptical take", |
| } |
|
|
| GITHUB_OWNER_LABELS = { |
| "cloudflare": "Cloudflare", |
| "vercel": "Vercel", |
| } |
|
|
|
|
| def escape_cell(value: str) -> str: |
| return value.replace("|", r"\|") |
|
|
|
|
| def author_summary(authors: str) -> str: |
| names = [name.strip() for name in authors.split(";") if name.strip()] |
| if not names: |
| return "" |
| if len(names) == 1: |
| return names[0] |
| if len(names) == 2: |
| return f"{names[0]} & {names[1]}" |
| return f"{names[0]} et al." |
|
|
|
|
| def repository_artifact_label(url: str) -> str: |
| path = url.split("#", 1)[0] |
| if path.startswith("patterns/"): |
| return "Pattern library" |
| if path.startswith("templates/"): |
| return "Template library" |
| if path.startswith("schemas/"): |
| return "Schema" |
| if path.startswith("examples/runnable/"): |
| return "Runnable example" |
| if path.startswith("examples/"): |
| return "Example library" |
| if path.startswith("gallery/"): |
| return "Community gallery" |
| if path.startswith("docs/"): |
| return "Project website" |
| if path.startswith("scripts/"): |
| return "Repository utility" |
| if path.startswith("meta/"): |
| return "Project operations guide" |
| if path.startswith("posts/"): |
| return "Project article" |
| return "Project documentation" |
|
|
|
|
| def publication_cell(row: dict[str, str]) -> str: |
| year = row["publication_year"] |
| resource_type = row["resource_type"] |
| details: list[str] = [] |
|
|
| github_repo = row["github_repo"] |
| if row["url_kind"] != "external": |
| source = row["publication_venue"] or row["publisher"] or "GitHub" |
| details.append(repository_artifact_label(row["url"])) |
| elif github_repo.lower() == PROJECT_GITHUB_REPO: |
| source = row["publication_venue"] or row["publisher"] or "GitHub" |
| license_id = row["github_license"] |
| if license_id and license_id != "NOASSERTION": |
| details.append(f"License: {license_id}") |
| elif github_repo: |
| source = row["publisher"] or "GitHub" |
| owner, separator, repository = github_repo.partition("/") |
| owner = GITHUB_OWNER_LABELS.get(owner, owner) |
| details.append(f"{owner}{separator}{repository}") |
| license_id = row["github_license"] |
| if license_id and license_id != "NOASSERTION": |
| details.append(f"License: {license_id}") |
| else: |
| source = row["publication_venue"] or row["publisher"] or row["domain"] or "Source not stated" |
| if resource_type in {"Paper", "Benchmark", "Blog", "Critique"}: |
| author = author_summary(row["authors"]) |
| if author: |
| details.append(author) |
|
|
| primary = ( |
| f"**{escape_cell(year)}** · {escape_cell(source)}" |
| if year |
| else f"**{escape_cell(source)}**" |
| ) |
| if details: |
| secondary = " · ".join(escape_cell(detail) for detail in details) |
| return f"{primary}<br><sub>{secondary}</sub>" |
| return primary |
|
|
|
|
| def resource_cells(row: dict[str, str]) -> tuple[str, str, str]: |
| title = escape_cell(row["title"]) |
| url = escape_cell(row["url"]) |
| annotation = escape_cell(row["annotation"]) |
| marker = escape_cell(row["marker"]) |
| resource_type = escape_cell(row["resource_type"]) |
| resource = f"{marker} **[{title}]({url})**<br><sub>{resource_type}</sub>" |
| return resource, publication_cell(row), annotation |
|
|
|
|
| def markdown_table(headers: tuple[str, ...], data: list[tuple[str, ...]]) -> list[str]: |
| |
| def source_length(value: str) -> int: |
| return len(value.encode("utf-16-le")) // 2 |
|
|
| widths = [ |
| max(source_length(headers[index]), *(source_length(row[index]) for row in data)) |
| for index in range(len(headers)) |
| ] |
|
|
| def format_row(row: tuple[str, ...]) -> str: |
| cells = ( |
| cell + " " * (width - source_length(cell)) |
| for cell, width in zip(row, widths) |
| ) |
| return "| " + " | ".join(cells) + " |" |
|
|
| separator = tuple("-" * max(3, width) for width in widths) |
| return [format_row(headers), format_row(separator), *(format_row(row) for row in data)] |
|
|
|
|
| def is_resource_table_header(line: str) -> bool: |
| if not line.startswith("|"): |
| return False |
| cells = tuple(cell.strip() for cell in line.strip().strip("|").split("|")) |
| return cells in LEGACY_TABLE_HEADERS |
|
|
|
|
| def is_table_separator(line: str) -> bool: |
| if not line.startswith("|"): |
| return False |
| cells = tuple(cell.strip() for cell in line.strip().strip("|").split("|")) |
| return len(cells) == len(TABLE_HEADERS) and all( |
| len(cell) >= 3 and not cell.strip("-") for cell in cells |
| ) |
|
|
|
|
| def summary_lines(rows: list[dict[str, str]]) -> list[str]: |
| counts = Counter(row["resource_type"] for row in rows) |
| data = [] |
| for resource_type, marker in TYPE_MARKERS.items(): |
| data.append( |
| ( |
| f"{marker} **{resource_type}**", |
| str(counts[resource_type]), |
| TYPE_DESCRIPTIONS[resource_type], |
| ) |
| ) |
| return [SUMMARY_START, *markdown_table(("Type", "Rows", "Includes"), data), SUMMARY_END] |
|
|
|
|
| def replace_summary(lines: list[str], rows: list[dict[str, str]]) -> list[str]: |
| try: |
| start = lines.index(SUMMARY_START) |
| end = lines.index(SUMMARY_END, start + 1) |
| except ValueError as error: |
| raise RuntimeError("README resource-type summary markers are missing") from error |
| return lines[:start] + summary_lines(rows) + lines[end + 1 :] |
|
|
|
|
| def render_readme(readme_path: Path = README) -> str: |
| rows = iter_rows(readme_path) |
| rows_by_line = {int(row["source_line"]): row for row in rows} |
| lines = readme_path.read_text(encoding="utf-8").splitlines() |
| output: list[str] = [] |
| index = 0 |
|
|
| while index < len(lines): |
| line = lines[index] |
| if is_resource_table_header(line): |
| index += 1 |
| if index < len(lines) and is_table_separator(lines[index]): |
| index += 1 |
| continue |
|
|
| row = rows_by_line.get(index + 1) |
| if row: |
| run: list[tuple[str, ...]] = [] |
| while index < len(lines): |
| row = rows_by_line.get(index + 1) |
| if not row: |
| break |
| run.append(resource_cells(row)) |
| index += 1 |
| output.extend(markdown_table(TABLE_HEADERS, run)) |
| continue |
|
|
| output.append(line) |
| index += 1 |
|
|
| output = replace_summary(output, rows) |
| return "\n".join(output) + "\n" |
|
|
|
|
| def main() -> int: |
| parser = argparse.ArgumentParser(description=__doc__) |
| parser.add_argument("--check", action="store_true", help="fail when README tables are stale") |
| args = parser.parse_args() |
|
|
| rendered = render_readme() |
| current = README.read_text(encoding="utf-8") |
| if args.check: |
| if rendered != current: |
| print("README resource tables are stale; run scripts/render_readme_tables.py", file=sys.stderr) |
| return 1 |
| return 0 |
|
|
| README.write_text(rendered, encoding="utf-8") |
| print(f"Rendered {len(iter_rows())} resource rows in {README.name}") |
| return 0 |
|
|
|
|
| if __name__ == "__main__": |
| raise SystemExit(main()) |
|
|