mirror of
https://github.com/zvx-echo6/recon.git
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Matt
501004ecf1
Skip articles with MediaWiki translation suffixes (/es, /fr, /pl, etc.) before text extraction to avoid wasting Gemini enrichment on translations. Uses path-based regex matching against ISO 639 language codes. ~5,276 non-English articles already ingested from Appropedia (top: es=837, zh=765, ru=475, fr=433, ko=407). Purge decision deferred.
427 lines
15 KiB
Python
427 lines
15 KiB
Python
"""
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RECON ZIM Processor
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Batch importer for ZIM files. Opens a ZIM via python-libzim, iterates
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HTML articles, strips to clean text, creates processing directories,
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and registers each article as "extracted" for the enricher to pick up.
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This is NOT a dispatcher-style processor (no pre_flight). ZIMs contain
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thousands of articles — ingestion is triggered explicitly or by the
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ZIM monitor.
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Usage:
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python3 -m lib.processors.zim_processor --zim-source-id 1
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python3 -m lib.processors.zim_processor --zim-source-id 1 --limit 100 --batch-size 50
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"""
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import argparse
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import hashlib
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import json
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import logging
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import os
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import re
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import sys
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import time
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from lxml import html as lxml_html
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sys.path.insert(0, "/opt/recon")
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from lib.utils import setup_logging, get_config
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from lib.status import StatusDB
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from lib.web_scraper import chunk_text
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logger = logging.getLogger("recon.processors.zim")
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WORDS_PER_PAGE = 2000
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MIN_TEXT_LENGTH = 200
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# Elements to strip before text extraction
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STRIP_TAGS = {'nav', 'footer', 'script', 'style', 'header', 'aside'}
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# Non-English article path suffix pattern (MediaWiki ZIMs use /XX or /XXX suffixes)
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# Matches paths ending in /xx where xx is a 2-3 letter lowercase language code
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_LANG_SUFFIX_RE = re.compile(r'/[a-z]{2,3}$')
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# Common ISO 639-1/2 language codes to filter (excludes 'en')
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_NON_EN_LANGS = {
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'aa','ab','af','ak','am','an','ar','as','av','ay','az',
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'ba','be','bg','bh','bi','bm','bn','bo','br','bs',
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'ca','ce','ch','co','cr','cs','cu','cv','cy',
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'da','de','dv','dz',
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'ee','el','eo','es','et','eu',
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'fa','ff','fi','fj','fo','fr','fy',
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'ga','gd','gl','gn','gu','gv',
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'ha','he','hi','ho','hr','ht','hu','hy','hz',
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'ia','id','ie','ig','ii','ik','io','is','it','iu',
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'ja','jv',
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'ka','kg','ki','kj','kk','kl','km','kn','ko','kr','ks','ku','kv','kw','ky',
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'la','lb','lg','li','ln','lo','lt','lu','lv',
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'mg','mh','mi','mk','ml','mn','mo','mr','ms','mt','my',
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'na','nb','nd','ne','ng','nl','nn','no','nr','nv','ny',
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'oc','oj','om','or','os',
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'pa','pi','pl','ps','pt',
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'qu',
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'rm','rn','ro','ru','rw',
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'sa','sc','sd','se','sg','sh','si','sk','sl','sm','sn','so','sq','sr','ss','st','su','sv','sw',
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'ta','te','tg','th','ti','tk','tl','tn','to','tr','ts','tt','tw','ty',
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'ug','uk','ur','uz',
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've','vi','vo',
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'wa','wo',
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'xh',
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'yi','yo',
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'za','zh','zu',
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}
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def _text_hash(text):
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"""Compute MD5 hash of text content (matching content_hash style)."""
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return hashlib.md5(text.encode('utf-8')).hexdigest()
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def _html_to_text(html_bytes):
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"""Convert HTML bytes to clean text via lxml.
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Strips nav, footer, script, style elements. Decodes entities.
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Normalizes whitespace.
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"""
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try:
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doc = lxml_html.fromstring(html_bytes)
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except Exception:
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return ""
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# Strip unwanted elements
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for tag in STRIP_TAGS:
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for el in doc.iter(tag):
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el.drop_tree()
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# Extract text
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text = doc.text_content()
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# Normalize whitespace: collapse runs of spaces, normalize newlines
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text = re.sub(r'[ \t]+', ' ', text)
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text = re.sub(r'\n{3,}', '\n\n', text)
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text = text.strip()
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return text
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def ingest_zim(zim_source_id, db, config, stop_event=None,
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batch_size=100, batch_delay=1.0, limit=None):
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"""Process all articles from a ZIM file registered in zim_sources.
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- Reads zim_path from zim_sources table
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- Iterates articles, creates processing dirs, registers in DB
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- Checkpoints progress via zim_sources.last_checkpoint
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- Respects stop_event for graceful shutdown
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- Yields after each batch to avoid monopolizing resources
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Args:
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zim_source_id: ID in zim_sources table
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db: StatusDB instance
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config: RECON config dict
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stop_event: threading.Event for graceful shutdown (optional)
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batch_size: articles per batch before sleeping
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batch_delay: seconds to sleep between batches
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limit: max articles to process (None = all)
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Returns:
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dict with counts: processed, skipped, duplicates, errors
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"""
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from libzim.reader import Archive
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conn = db._get_conn()
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# Load ZIM source record
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row = conn.execute(
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"SELECT * FROM zim_sources WHERE id = ?", (zim_source_id,)
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).fetchone()
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if not row:
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logger.error("ZIM source ID %d not found", zim_source_id)
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return {'processed': 0, 'skipped': 0, 'duplicates': 0, 'errors': 0}
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zim_source = dict(row)
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zim_path = zim_source['zim_path']
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zim_filename = zim_source['zim_filename']
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zim_title = zim_source.get('title') or zim_filename
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if not os.path.isfile(zim_path):
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logger.error("ZIM file not found: %s", zim_path)
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return {'processed': 0, 'skipped': 0, 'duplicates': 0, 'errors': 0}
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logger.info("Opening ZIM: %s (%s)", zim_title, zim_filename)
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zim = Archive(zim_path)
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total_entries = zim.entry_count
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# Read checkpoint to resume from
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last_checkpoint = zim_source.get('last_checkpoint')
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start_idx = 0
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if last_checkpoint:
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try:
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start_idx = int(last_checkpoint)
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logger.info("Resuming from checkpoint: entry %d", start_idx)
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except ValueError:
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logger.warning("Invalid checkpoint value: %s, starting from 0", last_checkpoint)
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# Update status to ingesting
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conn.execute(
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"UPDATE zim_sources SET status = 'ingesting', started_at = CURRENT_TIMESTAMP WHERE id = ?",
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(zim_source_id,)
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)
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conn.commit()
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processing_root = config.get('pipeline', {}).get(
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'processing_root', '/opt/recon/data/processing'
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)
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# Get already-processed article paths for this ZIM source (dedup within ZIM)
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existing_paths = set()
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for r in conn.execute(
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"SELECT article_path FROM zim_articles WHERE zim_source_id = ?",
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(zim_source_id,)
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).fetchall():
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existing_paths.add(r['article_path'])
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stats = {'processed': 0, 'skipped': 0, 'duplicates': 0, 'errors': 0}
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# Track what was already flushed to DB to avoid double-counting
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flushed = {'processed': 0, 'skipped': 0, 'duplicates': 0, 'errors': 0}
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batch_count = 0
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total_processed_this_run = 0
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last_entry_idx = start_idx
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for entry_idx in range(start_idx, total_entries):
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if stop_event and stop_event.is_set():
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logger.info("Stop event set, halting ZIM ingest at entry %d", entry_idx)
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break
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if limit and total_processed_this_run >= limit:
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logger.info("Reached limit of %d articles", limit)
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break
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last_entry_idx = entry_idx
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try:
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entry = zim._get_entry_by_id(entry_idx)
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except Exception:
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continue
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# Skip redirects
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if entry.is_redirect:
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continue
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try:
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item = entry.get_item()
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except Exception:
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continue
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# Skip non-HTML
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if item.mimetype != "text/html":
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continue
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article_path = entry.path
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article_title = entry.title
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# Skip if already processed in a prior run
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if article_path in existing_paths:
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continue
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# Skip non-English articles (MediaWiki translation suffix pattern)
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lang_match = _LANG_SUFFIX_RE.search(article_path)
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if lang_match and lang_match.group(0)[1:] in _NON_EN_LANGS:
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stats['skipped'] += 1
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total_processed_this_run += 1
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continue
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# Extract and clean text
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try:
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html_bytes = bytes(item.content)
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clean_text = _html_to_text(html_bytes)
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except Exception as e:
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logger.debug("HTML extraction failed for %s: %s", article_path, e)
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stats['errors'] += 1
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continue
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# Skip stubs
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if len(clean_text) < MIN_TEXT_LENGTH:
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stats['skipped'] += 1
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continue
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# Compute content hash
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file_hash = _text_hash(clean_text)
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# Deduplicate against existing catalogue
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cat_row = conn.execute(
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"SELECT hash FROM catalogue WHERE hash = ?", (file_hash,)
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).fetchone()
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if cat_row:
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# Record in zim_articles as skipped duplicate
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conn.execute(
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"""INSERT OR IGNORE INTO zim_articles
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(zim_source_id, article_path, article_title, status, processed_at)
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VALUES (?, ?, ?, 'skipped', CURRENT_TIMESTAMP)""",
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(zim_source_id, article_path, article_title)
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)
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stats['duplicates'] += 1
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total_processed_this_run += 1
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continue
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# Create processing directory
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proc_dir = os.path.join(processing_root, file_hash)
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try:
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os.makedirs(proc_dir, exist_ok=True)
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except Exception as e:
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logger.error("Cannot create processing dir %s: %s", proc_dir, e)
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stats['errors'] += 1
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continue
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# Split into page files
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pages = chunk_text(clean_text, WORDS_PER_PAGE)
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for i, page_text in enumerate(pages, start=1):
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page_path = os.path.join(proc_dir, "page_{:04d}.txt".format(i))
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with open(page_path, 'w', encoding='utf-8') as f:
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f.write(page_text)
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# Write meta.json
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meta = {
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'hash': file_hash,
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'filename': article_title + '.html',
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'source_type': 'zim',
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'zim_file': zim_filename,
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'zim_source_id': zim_source_id,
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'article_title': article_title,
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'article_path': article_path,
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'page_count': len(pages),
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'text_length': len(clean_text),
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}
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with open(os.path.join(proc_dir, 'meta.json'), 'w', encoding='utf-8') as f:
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json.dump(meta, f, indent=2)
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# Register in catalogue
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db.add_to_catalogue(
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file_hash,
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article_title + '.html',
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zim_path, # source path is the ZIM file
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len(clean_text), # size in bytes (text)
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'kiwix', # source
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zim_title, # category = ZIM title
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)
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# Queue document
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db.queue_document(file_hash)
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# Set text_dir, page_count, book_title on documents row
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# Mark organized_at immediately (ZIM articles don't get filed to library)
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conn.execute(
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"UPDATE documents SET text_dir = ?, page_count = ?, "
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"book_title = ?, organized_at = CURRENT_TIMESTAMP "
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"WHERE hash = ?",
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(proc_dir, len(pages), article_title, file_hash)
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)
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# Update status to extracted
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db.update_status(file_hash, 'extracted', pages_extracted=len(pages))
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# Record in zim_articles
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conn.execute(
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"""INSERT OR IGNORE INTO zim_articles
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(zim_source_id, article_path, article_title, status, processed_at)
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VALUES (?, ?, ?, 'pending', CURRENT_TIMESTAMP)""",
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(zim_source_id, article_path, article_title)
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)
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conn.commit()
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stats['processed'] += 1
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total_processed_this_run += 1
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batch_count += 1
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# Progress logging
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total_done = zim_source['processed_count'] + stats['processed']
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article_count = zim_source.get('article_count', 0)
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if stats['processed'] % 500 == 0 and article_count > 0:
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pct = total_done / article_count * 100
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logger.info(
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"ZIM ingest [%s]: %s/%s (%.1f%%)",
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zim_title, f"{total_done:,}", f"{article_count:,}", pct
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)
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# Batch checkpoint — flush only the delta since last flush
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if batch_count >= batch_size:
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delta_p = stats['processed'] - flushed['processed']
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delta_s = (stats['skipped'] + stats['duplicates']) - (flushed['skipped'] + flushed['duplicates'])
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delta_e = stats['errors'] - flushed['errors']
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conn.execute(
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"UPDATE zim_sources SET processed_count = processed_count + ?, "
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"skipped_count = skipped_count + ?, error_count = error_count + ?, "
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"last_checkpoint = ? WHERE id = ?",
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(delta_p, delta_s, delta_e, str(entry_idx + 1), zim_source_id)
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)
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conn.commit()
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flushed['processed'] = stats['processed']
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flushed['skipped'] = stats['skipped']
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flushed['duplicates'] = stats['duplicates']
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flushed['errors'] = stats['errors']
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batch_count = 0
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if batch_delay > 0:
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time.sleep(batch_delay)
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# Final checkpoint — flush only the unflushed delta
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final_status = 'complete'
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if limit and total_processed_this_run >= limit:
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final_status = 'ingesting' # not done yet, just hit the limit
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delta_p = stats['processed'] - flushed['processed']
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delta_s = (stats['skipped'] + stats['duplicates']) - (flushed['skipped'] + flushed['duplicates'])
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delta_e = stats['errors'] - flushed['errors']
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conn.execute(
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"UPDATE zim_sources SET processed_count = processed_count + ?, "
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"skipped_count = skipped_count + ?, error_count = error_count + ?, "
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"last_checkpoint = ?, status = ?, completed_at = CASE WHEN ? = 'complete' THEN CURRENT_TIMESTAMP ELSE completed_at END "
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"WHERE id = ?",
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(delta_p, delta_s, delta_e, str(last_entry_idx + 1),
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final_status, final_status, zim_source_id)
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)
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conn.commit()
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logger.info(
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"ZIM ingest [%s] %s: %d processed, %d skipped, %d duplicates, %d errors",
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zim_title, final_status,
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stats['processed'], stats['skipped'], stats['duplicates'], stats['errors']
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)
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return stats
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def main():
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"""CLI entry point for standalone ZIM processing."""
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parser = argparse.ArgumentParser(description="RECON ZIM Processor")
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parser.add_argument('--zim-source-id', type=int, required=True,
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help="ID from zim_sources table")
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parser.add_argument('--batch-size', type=int, default=100,
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help="Articles per batch (default: 100)")
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parser.add_argument('--batch-delay', type=float, default=1.0,
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help="Seconds between batches (default: 1.0)")
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parser.add_argument('--limit', type=int, default=None,
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help="Max articles to process (default: all)")
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args = parser.parse_args()
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setup_logging('recon.processors.zim')
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config = get_config()
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db = StatusDB(config['paths']['db'])
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stats = ingest_zim(
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zim_source_id=args.zim_source_id,
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db=db,
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config=config,
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batch_size=args.batch_size,
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batch_delay=args.batch_delay,
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limit=args.limit,
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)
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print(f"\nResults: {stats['processed']} processed, {stats['skipped']} skipped, "
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f"{stats['duplicates']} duplicates, {stats['errors']} errors")
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if __name__ == "__main__":
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main()
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