Release prep: - Version bump to 0.3.0 (pyproject.toml, cli.py) - Rewrite README.md with current stats (475 drafts, 713 authors, 501 ideas) - Add CONTRIBUTING.md with dev setup and code conventions Blog site: - Add scripts/build-site.py (markdown → HTML with clean CSS, dark mode, nav) - Generate static site in docs/blog/ (10 pages) - Ready for GitHub Pages deployment Academic paper (paper/main.tex): - Update all counts: 474→475 drafts, 557→710 authors, 1907→462 ideas, 11→12 gaps - Add false-positive filtering methodology (113 excluded, 361 relevant) - Add cross-org convergence analysis (132 ideas, 33% rate) - Add GDPR compliance gap to gap table - Add LLM-as-judge caveats to rating methodology and limitations - Add FIPA, IEEE P3394, W3C WoT to related work with bibliography entries - Fix safety ratio to show monthly variation (1.5:1 to 21:1) Pipeline: - Fetch 1 new draft (475 total), 3 new authors (713 total) - Fix 16 ruff lint errors across test files - All 106 tests pass Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
#!/usr/bin/env python3
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"""Fetch from all 5 sources and import into DB."""
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import sys
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sys.path.insert(0, "src")
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from ietf_analyzer.config import Config
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from ietf_analyzer.sources import FETCHERS, get_fetcher
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from ietf_analyzer.db import Database
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from ietf_analyzer.models import Draft
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from rich.console import Console
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console = Console()
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cfg = Config.load()
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db = Database(cfg)
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# Only fetch from new sources (IETF and W3C already done recently)
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sources_to_fetch = ["etsi", "itu", "iso"]
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total_new = 0
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for source_name in sources_to_fetch:
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console.print(f"\n[bold blue]{'='*60}[/]")
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console.print(f"[bold blue]Fetching from {source_name.upper()}...[/]")
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console.print(f"[bold blue]{'='*60}[/]")
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fetcher = get_fetcher(source_name, cfg)
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try:
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docs = fetcher.search(cfg.search_keywords)
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console.print(f" Found {len(docs)} documents")
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new_count = 0
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for doc in docs:
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existing = db.get_draft(doc.name)
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if existing:
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continue
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new_count += 1
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# Convert to Draft
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draft = Draft(
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name=doc.name,
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rev="01",
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title=doc.title,
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abstract=doc.abstract,
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source=doc.source,
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source_id=doc.source_id,
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source_url=doc.source_url,
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time=doc.time,
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doc_status=doc.doc_status,
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full_text=doc.full_text,
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)
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db.upsert_draft(draft)
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console.print(f" [green]Imported {new_count} new documents[/]")
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total_new += new_count
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except Exception as e:
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console.print(f" [red]Error: {e}[/]")
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import traceback
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traceback.print_exc()
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finally:
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fetcher.close()
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console.print(f"\n[bold green]Total new documents: {total_new}[/]")
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# Final stats
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import sqlite3
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conn = sqlite3.connect(cfg.db_path)
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rows = conn.execute("SELECT source, COUNT(*) FROM drafts GROUP BY source ORDER BY source").fetchall()
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console.print("\n[bold]Database by source:[/]")
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for source, count in rows:
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console.print(f" {source}: {count}")
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total = conn.execute("SELECT COUNT(*) FROM drafts").fetchone()[0]
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console.print(f" [bold]Total: {total}[/]")
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conn.close()
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