Repository: bcye/structured-wikivoyage-exports
Pull request #18: Integrate Node Script into Python
Author: login: bcye
Created: 2025-04-26T13:54:57Z | Merged: 2025-04-30T19:12:51Z

Closes #16 
Tested locally with the filesystem handler

<!-- This is an auto-generated comment: release notes by coderabbit.ai -->
## Summary by CodeRabbit

- **Refactor**
  - Replaced local file processing with a new streaming and asynchronous pipeline for handling Wikimedia XML dumps.
  - Introduced concurrency control for parsing and processing large remote datasets.
  - Removed legacy scripts and configuration files related to previous workflows.
- **New Features**
  - Added support for direct streaming, decompression, and parsing of Wikimedia XML dumps.
  - Enabled asynchronous mapping extraction and XML handling for improved efficiency.
- **Chores**
  - Removed the project dependency and metadata file.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

Linked issue #16: Integrate NodeJS script into python

Diff:
diff --git a/transform-documents.py b/main.py
similarity index 54%
rename from transform-documents.py
rename to main.py
index 758c227..3347b7a 100644
--- a/transform-documents.py
+++ b/main.py
@@ -1,29 +1,20 @@
+#!/usr/bin/env python3
 import os
-from pathlib import Path
 import sys
+import re
+import zlib
+import bz2
 import asyncio
-import importlib
 import logging
+import importlib
+import xml.sax
+from pathlib import Path
 from dotenv import load_dotenv
-from parser import WikivoyageParser
+import aiohttp
+from transformers import fetch_mappings, WikiDumpHandler, WikivoyageParser
 
-logger = logging.getLogger(__name__)
 
-async def process_file(
-    input_file: Path,
-    handler,
-) -> None:
-    """
-    Parse one wiki file and hand the resulting entry off to our handler.
-    Uses the filename (sans suffix) as the unique UID.
-    """
-    
-    text = input_file.read_text(encoding="utf-8")
-    parser = WikivoyageParser()
-    entry = parser.parse(text)  # assume returns a dict
-    uid = input_file.stem
-
-    await handler.write_entry(entry, uid)
+logger = logging.getLogger(__name__)
 
 def gather_handler_kwargs(handler_name: str) -> dict:
     """
@@ -47,12 +38,41 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
 
+async def process_dump(
+    mappings: dict[str, str], handler, max_concurrent: int
+):
+    """
+    Stream-download the bzip2-compressed XML dump and feed to SAX.
+    """
+    xml_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-pages-articles.xml.bz2"
+    )
+    decomp = bz2.BZ2Decompressor()
+    sax_parser = xml.sax.make_parser()
+    dump_handler = WikiDumpHandler(mappings, handler, max_concurrent)
+    sax_parser.setContentHandler(dump_handler)
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(xml_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                sax_parser.feed(text)
+    sax_parser.close()
+    if dump_handler.tasks:
+        await asyncio.gather(*dump_handler.tasks)
+
+async def main():
     # 1. Which handler to load?
     handler_name = os.getenv("HANDLER")
     if not handler_name:
-        print("Error: set ENV HANDLER (e.g. 'filesystem')")
+        logger.error("Error: set ENV HANDLER (e.g. 'filesystem')")
         sys.exit(1)
 
     # 2. Dynamic import
@@ -60,31 +80,25 @@ async def main():
     try:
         mod = importlib.import_module(module_path)
     except ImportError as e:
-        print(f"Error loading handler module {module_path}: {e}")
+        logger.error(f"Error loading handler module {module_path}: {e}")
         sys.exit(1)
 
     # 3. Find the class: e.g. "sftp" → "SftpHandler"
     class_name = handler_name.title().replace("_", "") + "Handler"
     if not hasattr(mod, class_name):
-        print(f"{module_path} defines no class {class_name}")
+        logger.error(f"{module_path} defines no class {class_name}")
         sys.exit(1)
     HandlerCls = getattr(mod, class_name)
 
+    logger.info(f"Using handler from {module_path}")
+
     # 4. Build kwargs from ENV
     handler_kwargs = gather_handler_kwargs(handler_name)
 
     # 5. Instantiate
     handler = HandlerCls(**handler_kwargs)
 
-    # 6. Which dir to walk?
-    input_dir = Path(sys.argv[1]) if len(sys.argv) > 1 else Path(".")
-    txt_files = list(input_dir.rglob("*.txt"))
-
-    if not txt_files:
-        logger.info(f"No .txt files found under {input_dir}")
-        sys.exit(1)
-
-    # 7. read concurrency setting
+    # 6. read concurrency setting
     try:
         max_conc = int(os.getenv("MAX_CONCURRENT", "0"))
     except ValueError:
@@ -93,31 +107,18 @@ async def main():
     if max_conc < 0:
         raise ValueError("MAX_CONCURRENT must be >= 0")
 
-    # 8. schedule tasks
-    if max_conc == 0:
-        # unbounded
-        tasks = [
-            asyncio.create_task(process_file(txt, handler))
-            for txt in txt_files
-        ]
-    else:
-        # bounded by semaphore
-        sem = asyncio.Semaphore(max_conc)
 
-        async def bounded(txt):
-            async with sem:
-                return await process_file(txt, handler)
+    # 7. Fetch mappings
+    logger.info("Fetching mappings from SQL dump…")
+    mappings = await fetch_mappings()
+    logger.info(f"Got {len(mappings)} wikibase_item mappings.")
 
-        tasks = [
-            asyncio.create_task(bounded(txt))
-            for txt in txt_files
-        ]
+    # 8. Stream & split the XML dump
+    logger.info("Processing XML dump…")
+    await process_dump(mappings, handler, max_conc)
 
-    # 9. run them all
-    await asyncio.gather(*tasks)
+    # 5. Finish up
     await handler.close()
-
-
     logger.info("All done.")
 
 
diff --git a/package-lock.json b/package-lock.json
deleted file mode 100644
index 69e4130..0000000
--- a/package-lock.json
+++ /dev/null
@@ -1,183 +0,0 @@
-{
-  "name": "mapvoyage-extract",
-  "lockfileVersion": 3,
-  "requires": true,
-  "packages": {
-    "": {
-      "dependencies": {
-        "sax": "^1.4.1",
-        "unbzip2-stream": "^1.4.3"
-      },
-      "devDependencies": {
-        "@types/node": "^22.14.0",
-        "@types/sax": "^1.2.7",
-        "@types/unbzip2-stream": "^1.4.3",
-        "prettier": "^3.4.2",
-        "typescript": "^5.8.2"
-      }
-    },
-    "node_modules/@types/node": {
-      "version": "22.14.0",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-22.14.0.tgz",
-      "integrity": "sha512-Kmpl+z84ILoG+3T/zQFyAJsU6EPTmOCj8/2+83fSN6djd6I4o7uOuGIH6vq3PrjY5BGitSbFuMN18j3iknubbA==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "undici-types": "~6.21.0"
-      }
-    },
-    "node_modules/@types/sax": {
-      "version": "1.2.7",
-      "resolved": "https://registry.npmjs.org/@types/sax/-/sax-1.2.7.tgz",
-      "integrity": "sha512-rO73L89PJxeYM3s3pPPjiPgVVcymqU490g0YO5n5By0k2Erzj6tay/4lr1CHAAU4JyOWd1rpQ8bCf6cZfHU96A==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "@types/node": "*"
-      }
-    },
-    "node_modules/@types/through": {
-      "version": "0.0.33",
-      "resolved": "https://registry.npmjs.org/@types/through/-/through-0.0.33.tgz",
-      "integrity": "sha512-HsJ+z3QuETzP3cswwtzt2vEIiHBk/dCcHGhbmG5X3ecnwFD/lPrMpliGXxSCg03L9AhrdwA4Oz/qfspkDW+xGQ==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "@types/node": "*"
-      }
-    },
-    "node_modules/@types/unbzip2-stream": {
-      "version": "1.4.3",
-      "resolved": "https://registry.npmjs.org/@types/unbzip2-stream/-/unbzip2-stream-1.4.3.tgz",
-      "integrity": "sha512-D8X5uuJRISqc8YtwL8jNW2FpPdUOCYXbfD6zNROCTbVXK9nawucxh10tVXE3MPjnHdRA1LvB0zDxVya/lBsnYw==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "@types/through": "*"
-      }
-    },
-    "node_modules/base64-js": {
-      "version": "1.5.1",
-      "resolved": "https://registry.npmjs.org/base64-js/-/base64-js-1.5.1.tgz",
-      "integrity": "sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==",
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/feross"
-        },
-        {
-          "type": "patreon",
-          "url": "https://www.patreon.com/feross"
-        },
-        {
-          "type": "consulting",
-          "url": "https://feross.org/support"
-        }
-      ],
-      "license": "MIT"
-    },
-    "node_modules/buffer": {
-      "version": "5.7.1",
-      "resolved": "https://registry.npmjs.org/buffer/-/buffer-5.7.1.tgz",
-      "integrity": "sha512-EHcyIPBQ4BSGlvjB16k5KgAJ27CIsHY/2JBmCRReo48y9rQ3MaUzWX3KVlBa4U7MyX02HdVj0K7C3WaB3ju7FQ==",
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/feross"
-        },
-        {
-          "type": "patreon",
-          "url": "https://www.patreon.com/feross"
-        },
-        {
-          "type": "consulting",
-          "url": "https://feross.org/support"
-        }
-      ],
-      "license": "MIT",
-      "dependencies": {
-        "base64-js": "^1.3.1",
-        "ieee754": "^1.1.13"
-      }
-    },
-    "node_modules/ieee754": {
-      "version": "1.2.1",
-      "resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz",
-      "integrity": "sha512-dcyqhDvX1C46lXZcVqCpK+FtMRQVdIMN6/Df5js2zouUsqG7I6sFxitIC+7KYK29KdXOLHdu9zL4sFnoVQnqaA==",
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/feross"
-        },
-        {
-          "type": "patreon",
-          "url": "https://www.patreon.com/feross"
-        },
-        {
-          "type": "consulting",
-          "url": "https://feross.org/support"
-        }
-      ],
-      "license": "BSD-3-Clause"
-    },
-    "node_modules/prettier": {
-      "version": "3.5.3",
-      "resolved": "https://registry.npmjs.org/prettier/-/prettier-3.5.3.tgz",
-      "integrity": "sha512-QQtaxnoDJeAkDvDKWCLiwIXkTgRhwYDEQCghU9Z6q03iyek/rxRh/2lC3HB7P8sWT2xC/y5JDctPLBIGzHKbhw==",
-      "dev": true,
-      "license": "MIT",
-      "bin": {
-        "prettier": "bin/prettier.cjs"
-      },
-      "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "url": "https://github.com/prettier/prettier?sponsor=1"
-      }
-    },
-    "node_modules/sax": {
-      "version": "1.4.1",
-      "resolved": "https://registry.npmjs.org/sax/-/sax-1.4.1.tgz",
-      "integrity": "sha512-+aWOz7yVScEGoKNd4PA10LZ8sk0A/z5+nXQG5giUO5rprX9jgYsTdov9qCchZiPIZezbZH+jRut8nPodFAX4Jg==",
-      "license": "ISC"
-    },
-    "node_modules/through": {
-      "version": "2.3.8",
-      "resolved": "https://registry.npmjs.org/through/-/through-2.3.8.tgz",
-      "integrity": "sha512-w89qg7PI8wAdvX60bMDP+bFoD5Dvhm9oLheFp5O4a2QF0cSBGsBX4qZmadPMvVqlLJBBci+WqGGOAPvcDeNSVg==",
-      "license": "MIT"
-    },
-    "node_modules/typescript": {
-      "version": "5.8.2",
-      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.8.2.tgz",
-      "integrity": "sha512-aJn6wq13/afZp/jT9QZmwEjDqqvSGp1VT5GVg+f/t6/oVyrgXM6BY1h9BRh/O5p3PlUPAe+WuiEZOmb/49RqoQ==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "bin": {
-        "tsc": "bin/tsc",
-        "tsserver": "bin/tsserver"
-      },
-      "engines": {
-        "node": ">=14.17"
-      }
-    },
-    "node_modules/unbzip2-stream": {
-      "version": "1.4.3",
-      "resolved": "https://registry.npmjs.org/unbzip2-stream/-/unbzip2-stream-1.4.3.tgz",
-      "integrity": "sha512-mlExGW4w71ebDJviH16lQLtZS32VKqsSfk80GCfUlwT/4/hNRFsoscrF/c++9xinkMzECL1uL9DDwXqFWkruPg==",
-      "license": "MIT",
-      "dependencies": {
-        "buffer": "^5.2.1",
-        "through": "^2.3.8"
-      }
-    },
-    "node_modules/undici-types": {
-      "version": "6.21.0",
-      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.21.0.tgz",
-      "integrity": "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ==",
-      "dev": true,
-      "license": "MIT"
-    }
-  }
-}
diff --git a/package.json b/package.json
deleted file mode 100644
index 59f8534..0000000
--- a/package.json
+++ /dev/null
@@ -1,14 +0,0 @@
-{
-  "private": true,
-  "devDependencies": {
-    "@types/node": "^22.14.0",
-    "@types/sax": "^1.2.7",
-    "@types/unbzip2-stream": "^1.4.3",
-    "prettier": "^3.4.2",
-    "typescript": "^5.8.2"
-  },
-  "dependencies": {
-    "sax": "^1.4.1",
-    "unbzip2-stream": "^1.4.3"
-  }
-}
diff --git a/split-dump.ts b/split-dump.ts
deleted file mode 100644
index 782e951..0000000
--- a/split-dump.ts
+++ /dev/null
@@ -1,192 +0,0 @@
-import fs from "fs";
-import https from "https";
-import path from "path";
-import sax from "sax";
-import bz2 from "unbzip2-stream";
-import { createGunzip } from "zlib";
-
-// Local storage configuration
-const OUTPUT_FOLDER = "myfolder";
-
-// --- Step 1: Fetch mappings from SQL dump ---
-async function fetchMappings(): Promise<Record<string, string>> {
-  return new Promise((resolve, reject) => {
-    const sqlUrl =
-      "https://dumps.wikimedia.org/enwikivoyage/latest/enwikivoyage-latest-page_props.sql.gz";
-    https
-      .get(sqlUrl, (res) => {
-        if (res.statusCode !== 200) {
-          return reject(
-            new Error(`Failed to get SQL dump, status code: ${res.statusCode}`),
-          );
-        }
-        const gunzip = createGunzip();
-        let buffer = "";
-        const mappings: Record<string, string> = {};
-        res.pipe(gunzip);
-        gunzip.on("data", (chunk: Buffer) => {
-          buffer += chunk.toString();
-          const regex = /\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)/g;
-          let match: RegExpExecArray | null;
-          while ((match = regex.exec(buffer)) !== null) {
-            const [, pp_page, pp_propname, pp_value] = match;
-            if (pp_propname === "wikibase_item") {
-              mappings[pp_page] = pp_value;
-            }
-          }
-          // Keep a tail to handle chunk splits
-          if (buffer.length > 1000) {
-            buffer = buffer.slice(-1000);
-          }
-        });
-        gunzip.on("end", () => resolve(mappings));
-        gunzip.on("error", reject);
-      })
-      .on("error", reject);
-  });
-}
-
-// --- Helper to save file locally ---
-let saveCount = 0;
-function saveToLocalFile(filename: string, data: string): Promise<void> {
-  return new Promise((resolve, reject) => {
-    // Create directory if it doesn't exist
-    if (!fs.existsSync(OUTPUT_FOLDER)) {
-      fs.mkdirSync(OUTPUT_FOLDER, { recursive: true });
-    }
-    
-    const filePath = path.join(OUTPUT_FOLDER, filename);
-    fs.writeFile(filePath, data, (err) => {
-      if (err) {
-        reject(err);
-      } else {
-        console.log(`File saved successfully (${++saveCount}): ${filePath}`);
-        resolve();
-      }
-    });
-  });
-}
-
-// Simple semaphore to limit concurrency
-class Semaphore {
-  private tasks: (() => void)[] = [];
-  private count: number;
-  constructor(count: number) {
-    this.count = count;
-  }
-  async acquire(): Promise<() => void> {
-    return new Promise((release) => {
-      const task = () => {
-        this.count--;
-        release(() => {
-          this.count++;
-          if (this.tasks.length > 0) {
-            const next = this.tasks.shift()!;
-            next();
-          }
-        });
-      };
-      if (this.count > 0) {
-        task();
-      } else {
-        this.tasks.push(task);
-      }
-    });
-  }
-}
-
-// --- Step 3: Process the XML dump ---
-async function processXML(mappings: Record<string, string>): Promise<void> {
-  return new Promise((resolve, reject) => {
-    const xmlUrl =
-      "https://dumps.wikimedia.org/enwikivoyage/latest/enwikivoyage-latest-pages-articles.xml.bz2";
-    https
-      .get(xmlUrl, (res) => {
-        if (res.statusCode !== 200) {
-          return reject(
-            new Error(`Failed to fetch XML dump: ${res.statusCode}`),
-          );
-        }
-        // Pipe through bz2 decompressor
-        const stream = res.pipe(bz2());
-        // Use sax for streaming XML parsing
-        const parser = sax.createStream(true, {});
-        let currentPageId: string | null = null;
-        let currentText: string | null = null;
-        let inPage = false;
-        let inRevision = false;
-        let inText = false;
-        let currentTag: string | null = null; // Track current tag
-        parser.on("opentag", (node) => {
-          currentTag = node.name; // Track current tag
-          if (node.name === "page") {
-            inPage = true;
-            currentPageId = null;
-            currentText = null;
-          } else if (node.name === "revision") {
-            inRevision = true;
-          } else if (inRevision && node.name === "text") {
-            inText = true;
-          }
-        });
-        parser.on("closetag", (tagName) => {
-          if (tagName === "page") {
-            if (
-              typeof currentPageId == "string" &&
-              currentText !== null &&
-              !!mappings[currentPageId]
-            ) {
-              const wikidataId = mappings[currentPageId];
-              const filename = `${wikidataId}.wiki.txt`;
-              
-              // Make a copy as the value will continue changing
-              const textToSave = currentText.toString();
-              
-
-                  saveToLocalFile(filename, textToSave).catch((err) =>
-                  console.error(`Save error for page ${currentPageId}:`, err)
-                );
-            }
-            // Reset state for the next page
-            inPage = false;
-            currentPageId = null;
-            currentText = null;
-          } else if (tagName === "revision") {
-            inRevision = false;
-          } else if (tagName === "text") {
-            inText = false;
-          }
-          currentTag = null; // Reset current tag
-        });
-        parser.on("text", (text) => {
-          const trimmedText = text.trim();
-          if (!trimmedText) return;
-          if (currentTag === "id" && inPage && !inRevision && !currentPageId) {
-            currentPageId = trimmedText;
-          } else if (inText) {
-            currentText = (currentText || "") + trimmedText;
-          }
-        });
-        parser.on("error", reject);
-        parser.on("end", resolve);
-        stream.pipe(parser);
-      })
-      .on("error", reject);
-  });
-}
-
-// --- Main integration ---
-async function main() {
-  try {
-    console.log("Fetching mappings from SQL dump...");
-    const mappings = await fetchMappings();
-    console.log(`Fetched ${Object.keys(mappings).length} mappings.`);
-    console.log("Processing XML dump...");
-    await processXML(mappings);
-    console.log("Processing complete.");
-  } catch (err) {
-    console.error("Error:", err);
-  }
-}
-
-main().then(() => process.exit());
\ No newline at end of file
diff --git a/transformers/__init__.py b/transformers/__init__.py
new file mode 100644
index 0000000..f351a45
--- /dev/null
+++ b/transformers/__init__.py
@@ -0,0 +1,3 @@
+from .fetch_mappings import fetch_mappings
+from .wiki_dump_handler import WikiDumpHandler
+from .parser import WikivoyageParser
\ No newline at end of file
diff --git a/transformers/fetch_mappings.py b/transformers/fetch_mappings.py
new file mode 100644
index 0000000..1ad333a
--- /dev/null
+++ b/transformers/fetch_mappings.py
@@ -0,0 +1,42 @@
+from logging import getLogger
+import zlib
+import re
+import aiohttp
+
+logger = getLogger(__name__)
+
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        logger.debug(f"Found mapping {page_id} -> {value}")
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
diff --git a/parser.py b/transformers/parser.py
similarity index 100%
rename from parser.py
rename to transformers/parser.py
diff --git a/transformers/wiki_dump_handler.py b/transformers/wiki_dump_handler.py
new file mode 100644
index 0000000..eecf022
--- /dev/null
+++ b/transformers/wiki_dump_handler.py
@@ -0,0 +1,96 @@
+from logging import getLogger
+import xml.sax
+import asyncio
+from .parser import WikivoyageParser
+
+logger = getLogger(__name__)
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            logger.debug("start page")
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            logger.debug("start revision")
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            logger.debug("start text")
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            logger.debug("end page")
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                logger.debug(f"scheduled {wd_id} for handling")
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            else:
+                logger.debug(f"page {pid} without wikidata id, skipping...")
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            logger.debug("end revision")
+            self.inRevision = False
+        elif name == "text":
+            logger.debug("end text")
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        # Only filter whitespace for ID fields, preserve all content for text
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            content_stripped = content.strip()
+            if content_stripped:  # Only process non-empty ID content
+                self.currentPageId = content_stripped
+        elif self.inText:
+            # Always append text content, even if it's just whitespace or newlines
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
+
+    async def _bounded_process(self, text: str, uid: str):
+        # Only run N at once
+        async with self.sem:
+            await self._process(text, uid)


Reviews:
user: login: coderabbitai[bot]
body: **Actionable comments posted: 3**

<details>
<summary>🧹 Nitpick comments (6)</summary><blockquote>

<details>
<summary>transform-documents.py (6)</summary><blockquote>

`11-11`: **Remove unused import to keep the module clean**

`Path` is never referenced in this module. Eliminating dead imports avoids confusion and keeps the import table tidy.

```diff
-from pathlib import Path
```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

11-11: `pathlib.Path` imported but unused

Remove unused import: `pathlib.Path`

(F401)

</details>

</details>

---

`31-36`: **`isdigit()` misses negative / non-base-10 integers**

`str.isdigit()` returns `False` for `-1`, `+10`, or hex‐style numbers, so legitimate integer ENV values are silently left as strings. A safer cast is to attempt `int()` directly.

```diff
-        # cast ints
-        if val.isdigit():
-            val = int(val)
-        # cast bools
+        # cast bools first
+        elif val.lower() in ("true", "false"):
+            val = val.lower() == "true"
+        # cast ints (handles negative values)
+        else:
+            try:
+                val = int(val)
+            except ValueError:
+                pass
-        elif val.lower() in ("true", "false"):
-            val = val.lower() == "true"
```

---

`57-60`: **Combine consecutive `async with` statements**

Ruff points out (SIM117) that nested context managers can be flattened. It’s a small readability & indentation win.

```diff
-    async with aiohttp.ClientSession() as session:
-        async with session.get(sql_url) as resp:
+    async with aiohttp.ClientSession() as session, session.get(sql_url) as resp:
```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

57-58: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>

</details>

---

`144-147`: **Add per-page error handling and reuse the parser**

Creating a fresh `WikivoyageParser()` for every page is expensive, and any uncaught exception kills the whole run. Reuse a single parser instance and guard writes:

```diff
-        parser = WikivoyageParser()
-        entry = parser.parse(text)
-        await self.handler.write_entry(entry, uid)
+        if not hasattr(self, "_parser"):
+            self._parser = WikivoyageParser()
+        try:
+            entry = self._parser.parse(text)
+            await self.handler.write_entry(entry, uid)
+        except Exception as e:
+            logger.exception("Failed processing page %s: %s", uid, e)
```

---

`170-174`: **Flatten the nested context managers here as well**

Same SIM117 remark applies to the XML dump fetch loop.

```diff
-    async with aiohttp.ClientSession() as session:
-        async with session.get(xml_url) as resp:
+    async with aiohttp.ClientSession() as session, session.get(xml_url) as resp:
```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

170-171: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>

</details>

---

`232-234`: **`handler.close()` might not be awaitable**

If an output handler implements a synchronous `close()`, `await` will raise `TypeError`. Consider:

```python
close_result = handler.close()
if inspect.isawaitable(close_result):
    await close_result
```

This keeps the contract flexible across different handler implementations.

</blockquote></details>

</blockquote></details>

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* `package-lock.json` is excluded by `!**/package-lock.json`

</details>

<details>
<summary>📒 Files selected for processing (3)</summary>

* `package.json` (0 hunks)
* `split-dump.ts` (0 hunks)
* `transform-documents.py` (3 hunks)

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<details>
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* package.json
* split-dump.ts

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<details>
<summary>🧰 Additional context used</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

<details>
<summary>transform-documents.py</summary>

11-11: `pathlib.Path` imported but unused

Remove unused import: `pathlib.Path`

(F401)

---

57-58: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

---

170-171: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>

</details>

</details>

<details>
<summary>🔇 Additional comments (1)</summary><blockquote>

<details>
<summary>transform-documents.py (1)</summary>

`174-178`: **Handle decompression errors gracefully**

`BZ2Decompressor.decompress()` raises `OSError` on corrupt chunks. Wrap it to skip broken parts instead of terminating the whole job.

```python
try:
    data = decomp.decompress(chunk)
except OSError as e:
    logger.warning("Corrupt bzip2 block: %s – skipping", e)
    continue
```

</details>

</blockquote></details>

</details>

<!-- This is an auto-generated comment by CodeRabbit for review status -->
state: COMMENTED
author_association: CONTRIBUTOR
submitted_at: 2025-04-26T13:56:59Z
user: login: bcye
state: COMMENTED
author_association: OWNER
submitted_at: 2025-04-26T13:58:58Z
user: login: coderabbitai[bot]
state: COMMENTED
author_association: CONTRIBUTOR
submitted_at: 2025-04-26T13:59:32Z
user: login: bcye
state: COMMENTED
author_association: OWNER
submitted_at: 2025-04-26T14:01:44Z
user: login: coderabbitai[bot]
state: COMMENTED
author_association: CONTRIBUTOR
submitted_at: 2025-04-26T14:03:13Z
user: login: bcye
state: COMMENTED
author_association: OWNER
submitted_at: 2025-04-26T14:04:18Z
user: login: coderabbitai[bot]
state: COMMENTED
author_association: CONTRIBUTOR
submitted_at: 2025-04-26T14:04:45Z
user: login: coderabbitai[bot]
body: **Actionable comments posted: 1**

<details>
<summary>🧹 Nitpick comments (3)</summary><blockquote>

<details>
<summary>transform-documents.py (3)</summary><blockquote>

`11-11`: **`Path` is imported but never used – remove to silence Ruff F401**

The `Path` symbol is unused throughout the module. Keeping dead imports adds noise and will fail stricter linters.

```diff
-from pathlib import Path
```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

11-11: `pathlib.Path` imported but unused

Remove unused import: `pathlib.Path`

(F401)

</details>

</details>

---

`57-60`: **Combine the nested `async with` statements to comply with Ruff SIM117**

Ruff flags both call-sites; folding them into a single context manager line is cleaner and marginally cheaper:

```diff
-async with aiohttp.ClientSession() as session:
-    async with session.get(sql_url) as resp:
+async with aiohttp.ClientSession() as session, session.get(sql_url) as resp:
```

Apply the same pattern in `process_dump` for `xml_url`.




Also applies to: 172-175

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

57-58: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>

</details>

---

`60-66`: **Consider incremental decoding in `fetch_mappings` as well**

Although the regex only matches ASCII, adopting the same incremental decoder pattern here future-proofs the function and avoids silent data loss if the dump ever includes non-ASCII props/values.  
(Not critical right now, but worth aligning with the XML path.)

</blockquote></details>

</blockquote></details>

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<summary>📜 Review details</summary>

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<details>
<summary>📥 Commits</summary>

Reviewing files that changed from the base of the PR and between 804ffeb82b2dfa374515bfd45c72eaa3a2961aeb and 3330667fa7371bcfe8c6a3908b3cae2e578ea128.

</details>

<details>
<summary>📒 Files selected for processing (1)</summary>

* `transform-documents.py` (3 hunks)

</details>

<details>
<summary>🧰 Additional context used</summary>

<details>
<summary>🧠 Learnings (1)</summary>

<details>
<summary>transform-documents.py (1)</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transform-documents.py:82-90
Timestamp: 2025-04-26T13:59:29.663Z
Learning: Wikivoyage has approximately 37,000 pages total, which is much smaller than other wikis like Wikipedia. This means that memory optimization techniques that would be necessary for handling millions of pages (like batch processing tasks) are less critical for Wikivoyage-specific applications.
```

</details>

</details><details>
<summary>🧬 Code Graph Analysis (1)</summary>

<details>
<summary>transform-documents.py (2)</summary><blockquote>

<details>
<summary>parser.py (2)</summary>

* `WikivoyageParser` (16-348)
* `parse` (29-44)

</details>
<details>
<summary>output_handlers/base_handler.py (2)</summary>

* `write_entry` (42-58)
* `close` (61-65)

</details>

</blockquote></details>

</details><details>
<summary>🪛 Ruff (0.8.2)</summary>

<details>
<summary>transform-documents.py</summary>

11-11: `pathlib.Path` imported but unused

Remove unused import: `pathlib.Path`

(F401)

---

57-58: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

---

172-173: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>

</details>

</details>

</details>

<!-- This is an auto-generated comment by CodeRabbit for review status -->
state: COMMENTED
author_association: CONTRIBUTOR
submitted_at: 2025-04-30T11:35:26Z
user: login: coderabbitai[bot]
body: **Actionable comments posted: 4**

<details>
<summary>🧹 Nitpick comments (10)</summary><blockquote>

<details>
<summary>transformers/fetch_mappings.py (2)</summary><blockquote>

`25-29`: **Flatten the nested `async with` for cleaner style**  

Ruff (SIM117) is right here and the refactor is trivial:

```diff
-    async with aiohttp.ClientSession() as session:
-        async with session.get(sql_url) as resp:
+    async with aiohttp.ClientSession().get(sql_url) as resp:
```

Saves one indentation level without changing behaviour.

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

25-26: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>

</details>

---

`40-41`: **Make the tail-buffer length a named constant**  

`1000` feels arbitrary.  Pulling it into a constant (`TAIL_KEEP_BYTES = 1_024`) will document intent and make future tuning safer.

</blockquote></details>
<details>
<summary>transformers/__init__.py (1)</summary><blockquote>

`1-3`: **Export the public API to silence unused-import warnings**  

The imports are meant for re-export, so declare `__all__`:

```diff
 from .fetch_mappings import fetch_mappings
 from .wiki_dump_handler import WikiDumpHandler
 from .parser import WikivoyageParser
+
+# Re-export for ``from transformers import *`` convenience
+__all__ = [
+    "fetch_mappings",
+    "WikiDumpHandler",
+    "WikivoyageParser",
+]
```

This keeps the module self-documenting and removes the Ruff F401 complaints.

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

1-1: `.fetch_mappings.fetch_mappings` imported but unused; consider removing, adding to `__all__`, or using a redundant alias

(F401)

---

2-2: `.wiki_dump_handler.WikiDumpHandler` imported but unused; consider removing, adding to `__all__`, or using a redundant alias

(F401)

---

3-3: `.parser.WikivoyageParser` imported but unused; consider removing, adding to `__all__`, or using a redundant alias

(F401)

</details>

</details>

</blockquote></details>
<details>
<summary>main.py (7)</summary><blockquote>

`4-5`: **Remove unused imports.**

The imports for `re`, `zlib`, and later `pathlib.Path` are not used in the code. Removing unused imports improves code readability and reduces potential confusion.

```diff
-import re
-import zlib
import bz2
```


Also applies to: 6-6

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

4-4: `re` imported but unused

Remove unused import: `re`

(F401)

---

5-5: `zlib` imported but unused

Remove unused import: `zlib`

(F401)

</details>

</details>

---

`11-11`: **Remove unused import.**

The `Path` import from `pathlib` is not used in the code after removing the local file processing functionality.

```diff
-from pathlib import Path
```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

11-11: `pathlib.Path` imported but unused

Remove unused import: `pathlib.Path`

(F401)

</details>

</details>

---

`14-14`: **Remove unused import.**

The `WikivoyageParser` import is not used directly in this file after refactoring.

```diff
-from transformers import fetch_mappings, WikiDumpHandler, WikivoyageParser
+from transformers import fetch_mappings, WikiDumpHandler
```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

14-14: `transformers.WikivoyageParser` imported but unused

Remove unused import: `transformers.WikivoyageParser`

(F401)

</details>

</details>

---

`42-70`: **Consider making the XML dump URL configurable.**

The hardcoded URL for the XML dump might need to change in the future. Consider moving it to an environment variable or configuration file.

```diff
async def process_dump(
    mappings: dict[str, str], handler, max_concurrent: int
):
    """
    Stream-download the bzip2-compressed XML dump and feed to SAX.
    """
-    xml_url = (
-        "https://dumps.wikimedia.org/"
-        "enwikivoyage/latest/"
-        "enwikivoyage-latest-pages-articles.xml.bz2"
-    )
+    xml_url = os.getenv(
+        "WIKIVOYAGE_DUMP_URL",
+        "https://dumps.wikimedia.org/enwikivoyage/latest/enwikivoyage-latest-pages-articles.xml.bz2"
+    )
```

Also, you should improve error handling for the network request and combine the nested `with` statements:

```diff
-    async with aiohttp.ClientSession() as session:
-        async with session.get(xml_url) as resp:
+    try:
+        async with aiohttp.ClientSession() as session, session.get(xml_url) as resp:
             resp.raise_for_status()
             async for chunk in resp.content.iter_chunked(1024 * 1024):
                 data = decomp.decompress(chunk)
                 if not data:
                     continue
                 text = data.decode("utf-8", errors="ignore")
                 sax_parser.feed(text)
+    except (aiohttp.ClientError, bz2.BZ2Error) as e:
+        logger.error(f"Error downloading or processing dump: {e}")
+        raise
```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

58-59: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>

</details>

---

`119-122`: **Inconsistent step numbering in comments.**

There's a "5. Finish up" comment after step 8, which breaks the sequential numbering. Consider fixing the numbering to maintain consistency.

```diff
-    # 5. Finish up
+    # 9. Finish up
```

---

`42-46`: **Add type hints for the handler parameter.**

The `handler` parameter lacks type hints, which would improve code readability and IDE support.

```diff
async def process_dump(
-    mappings: dict[str, str], handler, max_concurrent: int
+    mappings: dict[str, str], handler: Any, max_concurrent: int
):
```

Don't forget to add the import:
```diff
+from typing import Any
```

---

`68-69`: **Consider adding a warning log for pending tasks.**

It would be helpful to log if there are pending tasks that need to be awaited at the end of processing.

```diff
    if dump_handler.tasks:
+        logger.debug(f"Waiting for {len(dump_handler.tasks)} remaining tasks to complete...")
        await asyncio.gather(*dump_handler.tasks)
```

</blockquote></details>

</blockquote></details>

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</details>

<details>
<summary>📒 Files selected for processing (4)</summary>

* `main.py` (3 hunks)
* `transformers/__init__.py` (1 hunks)
* `transformers/fetch_mappings.py` (1 hunks)
* `transformers/wiki_dump_handler.py` (1 hunks)

</details>

<details>
<summary>🧰 Additional context used</summary>

<details>
<summary>🧬 Code Graph Analysis (2)</summary>

<details>
<summary>transformers/wiki_dump_handler.py (2)</summary><blockquote>

<details>
<summary>transformers/parser.py (2)</summary>

* `WikivoyageParser` (16-348)
* `parse` (29-44)

</details>
<details>
<summary>output_handlers/base_handler.py (1)</summary>

* `write_entry` (42-58)

</details>

</blockquote></details>
<details>
<summary>transformers/__init__.py (3)</summary><blockquote>

<details>
<summary>transformers/fetch_mappings.py (1)</summary>

* `fetch_mappings` (8-42)

</details>
<details>
<summary>transformers/wiki_dump_handler.py (1)</summary>

* `WikiDumpHandler` (8-96)

</details>
<details>
<summary>transformers/parser.py (1)</summary>

* `WikivoyageParser` (16-348)

</details>

</blockquote></details>

</details><details>
<summary>🪛 Ruff (0.8.2)</summary>

<details>
<summary>transformers/fetch_mappings.py</summary>

25-26: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>
<details>
<summary>main.py</summary>

4-4: `re` imported but unused

Remove unused import: `re`

(F401)

---

5-5: `zlib` imported but unused

Remove unused import: `zlib`

(F401)

---

11-11: `pathlib.Path` imported but unused

Remove unused import: `pathlib.Path`

(F401)

---

14-14: `transformers.WikivoyageParser` imported but unused

Remove unused import: `transformers.WikivoyageParser`

(F401)

---

58-59: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>
<details>
<summary>transformers/__init__.py</summary>

1-1: `.fetch_mappings.fetch_mappings` imported but unused; consider removing, adding to `__all__`, or using a redundant alias

(F401)

---

2-2: `.wiki_dump_handler.WikiDumpHandler` imported but unused; consider removing, adding to `__all__`, or using a redundant alias

(F401)

---

3-3: `.parser.WikivoyageParser` imported but unused; consider removing, adding to `__all__`, or using a redundant alias

(F401)

</details>

</details>

</details>

<details>
<summary>🔇 Additional comments (3)</summary><blockquote>

<details>
<summary>main.py (3)</summary>

`58-67`: **Handle potential XML parsing across chunk boundaries.**

The current implementation might have issues if XML elements span multiple chunks. Consider using a buffer to ensure complete XML elements are processed correctly.

Please verify if the SAX parser can handle incrementally fed data that might split XML elements across chunks. If not, consider implementing a buffering mechanism.

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

58-59: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>

</details>

---

`111-118`: **Good implementation of the pipeline approach.**

The structured approach with clear step comments and separation of concerns between fetching mappings and processing the XML dump is excellent. This modular design makes the code easier to maintain and extend.

---

`42-70`: **Investigate the missing section type nodes issue.**

In the PR comments, it was reported that outputted JSON files no longer contained "section" type nodes for certain data (Paris and Basel). This issue could be related to the new SAX parsing approach.

Please verify if the `WikiDumpHandler` class correctly processes and maintains section structure in the parsed content. The problem might be in how XML elements are parsed and processed by the SAX parser.

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

58-59: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>

</details>

</details>

</blockquote></details>

</details>

<!-- This is an auto-generated comment by CodeRabbit for review status -->
state: COMMENTED
author_association: CONTRIBUTOR
submitted_at: 2025-04-30T12:04:15Z
user: login: bcye
state: COMMENTED
author_association: OWNER
submitted_at: 2025-04-30T12:05:22Z
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submitted_at: 2025-04-30T12:05:57Z
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submitted_at: 2025-04-30T12:07:05Z
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submitted_at: 2025-04-30T12:07:39Z
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submitted_at: 2025-04-30T12:08:16Z
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submitted_at: 2025-04-30T12:09:17Z
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submitted_at: 2025-04-30T12:09:42Z
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submitted_at: 2025-04-30T12:10:15Z
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state: CHANGES_REQUESTED
author_association: COLLABORATOR
submitted_at: 2025-04-30T19:04:04Z
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author_association: CONTRIBUTOR
submitted_at: 2025-04-30T19:04:10Z
user: login: moll-re
state: APPROVED
author_association: COLLABORATOR
submitted_at: 2025-04-30T19:12:09Z

Review comments:
diff_hunk: @@ -47,44 +37,180 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
path: transform-documents.py
user: login: coderabbitai[bot]
body: _🛠️ Refactor suggestion_

**Potential mapping loss due to aggressive buffer truncation**

Each SQL INSERT statement can easily exceed 1 000 characters. Truncating the buffer to the last 1 000 chars risks clipping tuples in the middle and skipping matches.

Consider holding until you encounter `");` (end of INSERT) or keeping a larger tail (e.g. 64 kB) to be safe.

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-26T13:56:58Z
author_association: CONTRIBUTOR
diff_hunk: @@ -47,44 +37,180 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
path: transform-documents.py
user: login: coderabbitai[bot]
body: _🛠️ Refactor suggestion_

**Unbounded task list may explode memory usage**

`self.tasks` stores *all* scheduled page-processing tasks. With millions of pages, this list grows without bound even though concurrency is throttled by the semaphore. You can:

1. Await completed tasks in batches:

```python
self.tasks.append(task)
if len(self.tasks) >= 1_000:
    await asyncio.gather(*self.tasks, return_exceptions=True)
    self.tasks.clear()
```

2. Or push work into an `asyncio.Queue` serviced by a fixed worker pool.

Either approach caps memory while preserving throughput.

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-26T13:56:58Z
author_association: CONTRIBUTOR
diff_hunk: @@ -47,44 +37,180 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = False
+        elif name == "text":
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        if not content.strip():
+            return
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            self.currentPageId = content.strip()
+        elif self.inText:
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
+
+    async def _bounded_process(self, text: str, uid: str):
+        # Only run N at once
+        async with self.sem:
+            await self._process(text, uid)
path: transform-documents.py
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Guard semaphore usage when `max_concurrent == 0`**

If `max_concurrent` is set to `0`, `self.sem` is `None`, yet `_bounded_process` is still called. A quick guard prevents an `AttributeError`.

```diff
-        async with self.sem:
+        if self.sem is None:
+            await self._process(text, uid)
+            return
+        async with self.sem:
             await self._process(text, uid)
```



<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
    async def _bounded_process(self, text: str, uid: str):
        # Only run N at once
        if self.sem is None:
            await self._process(text, uid)
            return
        async with self.sem:
            await self._process(text, uid)
`````

</details>

<!-- suggestion_end -->

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-26T13:56:58Z
author_association: CONTRIBUTOR
diff_hunk: @@ -47,44 +37,180 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
path: transform-documents.py
user: login: bcye
body: not applicable, wikivoyage has ~37k pages
created_at: 2025-04-26T13:58:58Z
author_association: OWNER
diff_hunk: @@ -47,44 +37,180 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
path: transform-documents.py
user: login: coderabbitai[bot]
body: @bcye You're absolutely right! With only ~37k pages in Wikivoyage, storing all task references in memory won't cause significant issues. My suggestion was more applicable to larger wikis with millions of pages. Thanks for the clarification.





---

<details>
<summary>✏️ Learnings added</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transform-documents.py:82-90
Timestamp: 2025-04-26T13:59:29.642Z
Learning: Wikivoyage has approximately 37,000 pages total, which is much smaller than other wikis like Wikipedia. This means that memory optimization techniques that would be necessary for handling millions of pages (like batch processing tasks) are less critical for Wikivoyage-specific applications.
```

> Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure [review instructions](https://docs.coderabbit.ai/guides/review-instructions). You can manage existing learnings in the [app](https://app.coderabbit.ai/learnings).

</details>

---

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<!-- <agentComponentType>chat-answer</agentComponentType> -->

<!-- <rawResChunk><answer>@bcye You're absolutely right! With only ~37k pages in Wikivoyage, storing all task references in memory won't cause significant issues. My suggestion was more applicable to larger wikis with millions of pages. Thanks for the clarification.





---

<details>
<summary>✏️ Learnings added</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transform-documents.py:82-90
Timestamp: 2025-04-26T13:59:29.642Z
Learning: Wikivoyage has approximately 37,000 pages total, which is much smaller than other wikis like Wikipedia. This means that memory optimization techniques that would be necessary for handling millions of pages (like batch processing tasks) are less critical for Wikivoyage-specific applications.
```

> Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure [review instructions](https://docs.coderabbit.ai/guides/review-instructions). You can manage existing learnings in the [app](https://app.coderabbit.ai/learnings).

</details>

---

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<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-26T13:59:32Z
author_association: CONTRIBUTOR
diff_hunk: @@ -47,44 +37,180 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
path: transform-documents.py
user: login: bcye
body: doesn't seem applicable, the ones that interest us should be wax below that. am i missing sth?
created_at: 2025-04-26T14:01:44Z
author_association: OWNER
diff_hunk: @@ -47,44 +37,180 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
path: transform-documents.py
user: login: coderabbitai[bot]
body: <details>
<summary>🧩 Analysis chain</summary>

@bcye Let me check the Wikimedia SQL dump structure to better understand your implementation. After examining the dump, I can see that the INSERT statements for page_props typically contain multiple values in a single statement, which can indeed be quite large.

However, you're right that the specific concern might not be applicable in your case. The regex you're using (`\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)`) correctly captures individual tuples within each INSERT statement, and the buffer is only used to ensure you don't miss tuples that might be split across chunk boundaries.

Since you're processing each tuple as you find it and only keeping the buffer to handle potential splits, the 1000-character tail should be sufficient as long as no single tuple exceeds that size (which is unlikely for the page_props data).

I apologize for the unnecessary suggestion. Your implementation looks robust for your specific use case.



---

🏁 Script executed:
```
#!/bin/bash
# Let's sample the SQL dump to see the structure of INSERT statements
echo "Fetching a sample of the SQL dump..."
curl -s https://dumps.wikimedia.org/enwikivoyage/latest/enwikivoyage-latest-page_props.sql.gz | \
  gzip -d | head -n 100 > sample.sql

echo "Checking for large INSERT statements..."
# Get the max line length as a rough proxy for statement size
max_line_len=$(awk '{ if (length > max) max = length } END { print max }' sample.sql)
echo "Maximum line length: $max_line_len"

# Look at a sample INSERT statement that contains wikibase_item
echo "Sample INSERT statement with wikibase_item:"
grep -A 1 -B 1 "wikibase_item" sample.sql | head -n 10

# Check if there are INSERT statements spanning multiple lines (indicating they're large)
echo "INSERT statements count:"
grep -c "^INSERT INTO" sample.sql

# Check the typical number of tuples per INSERT statement
echo "Examining tuples per INSERT..."
grep "^INSERT INTO" sample.sql | head -n 1 | grep -o "," | wc -l
```

Length of output: 107093

---



</details>

@bcye You're absolutely right, and I misunderstood your implementation. Looking at the actual SQL dump, I can now see that while the INSERT statements are massive (over 1 million characters in some cases!), the individual tuples like `(10,'wikibase_item','Q2766547',NULL)` are very small.

Since you're processing each tuple with regex as you find it, and only keeping the buffer to handle tuples that might be split across chunk boundaries, the 1000-character tail is more than enough. A single wikibase_item tuple would never exceed this size.

Thanks for the correction!

---

<details>
<summary>🧬 Code Graph Analysis Results</summary>

### Relevant snippets for understanding `transform-documents.py` and the user comment:

---

**File: `parser.py`**  
Lines: 16-348 (full class `WikivoyageParser`)

This class is the parser used in `transform-documents.py` to convert Wikivoyage wikitext into a structured JSON tree. It handles headings, templates (including document-wide and listing templates like "see", "do", "buy", "eat", "drink", "sleep"), text nodes, tags, wikilinks, and external links. The parser organizes content into sections and converts wikitext markup into markdown where appropriate.

Key points:
- `parse(wikitext: str) -> Dict`: Parses wikitext into a JSON tree.
- `_handle_listing_template`: Handles listing templates such as "see", "do", "buy", "eat", "drink", "sleep" by converting their parameters into structured nodes.
- `_handle_document_template`: Handles document-wide templates by adding their parameters to the root properties.
- The parser builds a tree with sections and children nodes representing the document structure.
- Converts various wikitext elements to markdown for text content.

This is directly relevant because `transform-documents.py` uses `WikivoyageParser.parse()` to parse the text of each page extracted from the dump.

---

**File: `output_handlers/base_handler.py`**  
Lines: 42-58 (`write_entry` method) and 61-65 (`close` method)

These methods define the interface for output handlers used by `transform-documents.py`. The `write_entry` method is called asynchronously to write parsed entries, handling success/failure and logging. The `close` method is called at the end to finalize the handler.

Key points:
- `write_entry(entry: dict, uid: str)`: Writes a parsed entry asynchronously, logs success or failure, and may raise on error.
- `close()`: Cleanup method called after processing all entries.

This is relevant because `transform-documents.py` dynamically loads a handler class and calls `write_entry` and `close` on it.

---

**File: `output_handlers/bunny_storage.py`**  
Lines: 52-55 (`close` method)

An example of a handler's `close` method that closes network sessions and calls the superclass close method. Relevant as an example of what a handler's `close` might do.

---

No other snippets are directly relevant to the user comment or the main file.

---

### Summary of relevance:

- The user comment mentions "the ones that interest us should be wax below that," which likely relates to how the parser handles templates or sections in the wikitext. The detailed `WikivoyageParser` class explains how templates and sections are parsed and structured.
- The main file uses this parser to convert page text into structured entries.
- The output handler interface (`write_entry`, `close`) is relevant for understanding how parsed entries are processed after parsing.

---

If you need me to provide any further details or explanations about these snippets, please ask.

</details>



---

<details>
<summary>✏️ Learnings added</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transform-documents.py:71-72
Timestamp: 2025-04-26T14:03:11.465Z
Learning: In Wikimedia SQL dumps like page_props, processing with a 1000-character buffer tail is sufficient when extracting individual tuples with regex, as the individual tuples containing wikibase_item identifiers are much smaller than this limit.
```

> Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure [review instructions](https://docs.coderabbit.ai/guides/review-instructions). You can manage existing learnings in the [app](https://app.coderabbit.ai/learnings).

</details>




<!-- <agentComponentType>chat-answer</agentComponentType> -->

<!-- <rawResChunk><answer><details>
<summary>🧩 Analysis chain</summary>

@bcye Let me check the Wikimedia SQL dump structure to better understand your implementation. After examining the dump, I can see that the INSERT statements for page_props typically contain multiple values in a single statement, which can indeed be quite large.

However, you're right that the specific concern might not be applicable in your case. The regex you're using (`\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)`) correctly captures individual tuples within each INSERT statement, and the buffer is only used to ensure you don't miss tuples that might be split across chunk boundaries.

Since you're processing each tuple as you find it and only keeping the buffer to handle potential splits, the 1000-character tail should be sufficient as long as no single tuple exceeds that size (which is unlikely for the page_props data).

I apologize for the unnecessary suggestion. Your implementation looks robust for your specific use case.



---

🏁 Script executed:
```
#!/bin/bash
# Let's sample the SQL dump to see the structure of INSERT statements
echo "Fetching a sample of the SQL dump..."
curl -s https://dumps.wikimedia.org/enwikivoyage/latest/enwikivoyage-latest-page_props.sql.gz | \
  gzip -d | head -n 100 > sample.sql

echo "Checking for large INSERT statements..."
# Get the max line length as a rough proxy for statement size
max_line_len=$(awk '{ if (length > max) max = length } END { print max }' sample.sql)
echo "Maximum line length: $max_line_len"

# Look at a sample INSERT statement that contains wikibase_item
echo "Sample INSERT statement with wikibase_item:"
grep -A 1 -B 1 "wikibase_item" sample.sql | head -n 10

# Check if there are INSERT statements spanning multiple lines (indicating they're large)
echo "INSERT statements count:"
grep -c "^INSERT INTO" sample.sql

# Check the typical number of tuples per INSERT statement
echo "Examining tuples per INSERT..."
grep "^INSERT INTO" sample.sql | head -n 1 | grep -o "," | wc -l
```

Length of output: 107093

---



</details>

@bcye You're absolutely right, and I misunderstood your implementation. Looking at the actual SQL dump, I can now see that while the INSERT statements are massive (over 1 million characters in some cases!), the individual tuples like `(10,'wikibase_item','Q2766547',NULL)` are very small.

Since you're processing each tuple with regex as you find it, and only keeping the buffer to handle tuples that might be split across chunk boundaries, the 1000-character tail is more than enough. A single wikibase_item tuple would never exceed this size.

Thanks for the correction!

---

<details>
<summary>🧬 Code Graph Analysis Results</summary>

### Relevant snippets for understanding `transform-documents.py` and the user comment:

---

**File: `parser.py`**  
Lines: 16-348 (full class `WikivoyageParser`)

This class is the parser used in `transform-documents.py` to convert Wikivoyage wikitext into a structured JSON tree. It handles headings, templates (including document-wide and listing templates like "see", "do", "buy", "eat", "drink", "sleep"), text nodes, tags, wikilinks, and external links. The parser organizes content into sections and converts wikitext markup into markdown where appropriate.

Key points:
- `parse(wikitext: str) -> Dict`: Parses wikitext into a JSON tree.
- `_handle_listing_template`: Handles listing templates such as "see", "do", "buy", "eat", "drink", "sleep" by converting their parameters into structured nodes.
- `_handle_document_template`: Handles document-wide templates by adding their parameters to the root properties.
- The parser builds a tree with sections and children nodes representing the document structure.
- Converts various wikitext elements to markdown for text content.

This is directly relevant because `transform-documents.py` uses `WikivoyageParser.parse()` to parse the text of each page extracted from the dump.

---

**File: `output_handlers/base_handler.py`**  
Lines: 42-58 (`write_entry` method) and 61-65 (`close` method)

These methods define the interface for output handlers used by `transform-documents.py`. The `write_entry` method is called asynchronously to write parsed entries, handling success/failure and logging. The `close` method is called at the end to finalize the handler.

Key points:
- `write_entry(entry: dict, uid: str)`: Writes a parsed entry asynchronously, logs success or failure, and may raise on error.
- `close()`: Cleanup method called after processing all entries.

This is relevant because `transform-documents.py` dynamically loads a handler class and calls `write_entry` and `close` on it.

---

**File: `output_handlers/bunny_storage.py`**  
Lines: 52-55 (`close` method)

An example of a handler's `close` method that closes network sessions and calls the superclass close method. Relevant as an example of what a handler's `close` might do.

---

No other snippets are directly relevant to the user comment or the main file.

---

### Summary of relevance:

- The user comment mentions "the ones that interest us should be wax below that," which likely relates to how the parser handles templates or sections in the wikitext. The detailed `WikivoyageParser` class explains how templates and sections are parsed and structured.
- The main file uses this parser to convert page text into structured entries.
- The output handler interface (`write_entry`, `close`) is relevant for understanding how parsed entries are processed after parsing.

---

If you need me to provide any further details or explanations about these snippets, please ask.

</details>



---

<details>
<summary>✏️ Learnings added</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transform-documents.py:71-72
Timestamp: 2025-04-26T14:03:11.465Z
Learning: In Wikimedia SQL dumps like page_props, processing with a 1000-character buffer tail is sufficient when extracting individual tuples with regex, as the individual tuples containing wikibase_item identifiers are much smaller than this limit.
```

> Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure [review instructions](https://docs.coderabbit.ai/guides/review-instructions). You can manage existing learnings in the [app](https://app.coderabbit.ai/learnings).

</details>

</answer></rawResChunk> -->

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-26T14:03:13Z
author_association: CONTRIBUTOR
diff_hunk: @@ -47,44 +37,180 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = False
+        elif name == "text":
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        if not content.strip():
+            return
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            self.currentPageId = content.strip()
+        elif self.inText:
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
+
+    async def _bounded_process(self, text: str, uid: str):
+        # Only run N at once
+        async with self.sem:
+            await self._process(text, uid)
path: transform-documents.py
user: login: bcye
body: this logic exists in endelement
created_at: 2025-04-26T14:04:18Z
author_association: OWNER
diff_hunk: @@ -47,44 +37,180 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = False
+        elif name == "text":
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        if not content.strip():
+            return
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            self.currentPageId = content.strip()
+        elif self.inText:
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
+
+    async def _bounded_process(self, text: str, uid: str):
+        # Only run N at once
+        async with self.sem:
+            await self._process(text, uid)
path: transform-documents.py
user: login: coderabbitai[bot]
body: @bcye You're absolutely right. I missed that conditional check in the `endElement` method:

```python
if self.sem:
    task = asyncio.create_task(self._bounded_process(text, wd_id))
else:
    task = asyncio.create_task(self._process(text, wd_id))
```

Since `_bounded_process` is only called when `self.sem` exists, my suggested guard was unnecessary. Thank you for the correction!


<!-- <agentComponentType>chat-answer</agentComponentType> -->

<!-- <rawResChunk><answer>@bcye You're absolutely right. I missed that conditional check in the `endElement` method:

```python
if self.sem:
    task = asyncio.create_task(self._bounded_process(text, wd_id))
else:
    task = asyncio.create_task(self._process(text, wd_id))
```

Since `_bounded_process` is only called when `self.sem` exists, my suggested guard was unnecessary. Thank you for the correction!</answer></rawResChunk> -->

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-26T14:04:45Z
author_association: CONTRIBUTOR
diff_hunk: @@ -47,44 +37,182 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = False
+        elif name == "text":
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        # Only filter whitespace for ID fields, preserve all content for text
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            content_stripped = content.strip()
+            if content_stripped:  # Only process non-empty ID content
+                self.currentPageId = content_stripped
+        elif self.inText:
+            # Always append text content, even if it's just whitespace or newlines
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
+
+    async def _bounded_process(self, text: str, uid: str):
+        # Only run N at once
+        async with self.sem:
+            await self._process(text, uid)
+
+async def process_dump(
+    mappings: dict[str, str], handler, max_concurrent: int
+):
+    """
+    Stream-download the bzip2-compressed XML dump and feed to SAX.
+    """
+    xml_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-pages-articles.xml.bz2"
+    )
+    decomp = bz2.BZ2Decompressor()
+    sax_parser = xml.sax.make_parser()
+    dump_handler = WikiDumpHandler(mappings, handler, max_concurrent)
+    sax_parser.setContentHandler(dump_handler)
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(xml_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                sax_parser.feed(text)
path: transform-documents.py
user: login: coderabbitai[bot]
body: _🛠️ Refactor suggestion_

_⚠️ Potential issue_

**UTF-8 characters can be silently dropped at chunk boundaries – switch to an incremental decoder**

`errors="ignore"` discards invalid byte sequences that occur when a multi-byte UTF-8 character straddles two chunks. This can corrupt page text (potentially the reason “section” nodes vanished).  
Use `codecs.getincrementaldecoder("utf-8")` to preserve data:

```diff
-    decomp = bz2.BZ2Decompressor()
+    decomp = bz2.BZ2Decompressor()
+    utf8_decoder = codecs.getincrementaldecoder("utf-8")()

@@
-            async for chunk in resp.content.iter_chunked(1024 * 1024):
-                data = decomp.decompress(chunk)
-                if not data:
-                    continue
-                text = data.decode("utf-8", errors="ignore")
-                sax_parser.feed(text)
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = utf8_decoder.decode(data)
+                if text:                      # feed only when we have full chars
+                    sax_parser.feed(text)
+
+    # Flush remaining buffered bytes
+    remainder = utf8_decoder.decode(b"", final=True)
+    if remainder:
+        sax_parser.feed(remainder)
```

This guarantees that no UTF-8 sequence is lost, eliminating subtle parsing errors.




<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
    decomp = bz2.BZ2Decompressor()
    utf8_decoder = codecs.getincrementaldecoder("utf-8")()

    async for chunk in resp.content.iter_chunked(1024 * 1024):
        data = decomp.decompress(chunk)
        if not data:
            continue
        text = utf8_decoder.decode(data)
        if text:
            sax_parser.feed(text)

    # Flush any remaining buffered bytes
    remainder = utf8_decoder.decode(b"", final=True)
    if remainder:
        sax_parser.feed(remainder)
`````

</details>

<!-- suggestion_end -->

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-30T11:35:26Z
author_association: CONTRIBUTOR
diff_hunk: @@ -0,0 +1,42 @@
+from logging import getLogger
+import zlib
+import re
+import aiohttp
+
+logger = getLogger(__name__)
+
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
path: transformers/fetch_mappings.py
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Add a final `flush()` to avoid silently dropping the tail of the stream**  

`zlib.decompressobj()` keeps an internal buffer.  If the very last gzip block ends in the middle of a SQL tuple, the remaining bytes will sit in that buffer and never be given to your regex.  A simple `decomp.flush()` after the loop guarantees you never lose the last chunk of text.

```diff
@@
                 buffer = buffer[-1000:]
-    return mappings
+    # drain any bytes still buffered inside the decompressor
+    tail = decomp.flush()
+    if tail:
+        buffer += tail.decode("utf-8", errors="ignore")
+        for m in tuple_re.finditer(buffer):
+            page_id, prop, value = m.group(1), m.group(2), m.group(3)
+            if prop == "wikibase_item":
+                mappings[page_id] = value
+
+    return mappings
```



> Committable suggestion skipped: line range outside the PR's diff.

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

25-26: Use a single `with` statement with multiple contexts instead of nested `with` statements

Combine `with` statements

(SIM117)

</details>

</details>

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-30T12:04:14Z
author_association: CONTRIBUTOR
diff_hunk: @@ -0,0 +1,96 @@
+from logging import getLogger
+import xml.sax
+import asyncio
+from .parser import WikivoyageParser
+
+logger = getLogger(__name__)
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            logger.debug("start page")
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            logger.debug("start revision")
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            logger.debug("start text")
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            logger.debug("end page")
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                logger.debug(f"scheduled {wd_id} for handling")
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
path: transformers/wiki_dump_handler.py
user: login: coderabbitai[bot]
body: _🛠️ Refactor suggestion_

**Ensure scheduled tasks are awaited and failures surfaced**  

`self.tasks.append(task)` collects every job, but if the caller forgets to `await asyncio.gather(*handler.tasks)`, the program may exit early or swallow exceptions raised inside `_process()`.  

Consider adding a helper:

```python
async def wait_finished(self):
    if self.tasks:
        await asyncio.gather(*self.tasks)
```

and document that `await handler.wait_finished()` must be called after the SAX parser completes.  Alternatively, gather inside `endDocument()` for full encapsulation.

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-30T12:04:14Z
author_association: CONTRIBUTOR
diff_hunk: @@ -0,0 +1,96 @@
+from logging import getLogger
+import xml.sax
+import asyncio
+from .parser import WikivoyageParser
+
+logger = getLogger(__name__)
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            logger.debug("start page")
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            logger.debug("start revision")
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            logger.debug("start text")
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            logger.debug("end page")
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                logger.debug(f"scheduled {wd_id} for handling")
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            else:
+                logger.debug(f"page {pid} without wikidata id, skipping...")
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            logger.debug("end revision")
+            self.inRevision = False
+        elif name == "text":
+            logger.debug("end text")
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        # Only filter whitespace for ID fields, preserve all content for text
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            content_stripped = content.strip()
+            if content_stripped:  # Only process non-empty ID content
+                self.currentPageId = content_stripped
+        elif self.inText:
+            # Always append text content, even if it's just whitespace or newlines
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
path: transformers/wiki_dump_handler.py
user: login: coderabbitai[bot]
body: _🛠️ Refactor suggestion_

**Wrap parsing & writing in a try/except to avoid silent task death**  

If `WikivoyageParser` or the output handler throws, the exception will be logged by the event loop as *“Task exception was never retrieved”*.  Catching and logging here gives you deterministic failure handling and lets you respect `fail_on_error` flags.

```diff
-        entry = parser.parse(text)
-        await self.handler.write_entry(entry, uid)
+        try:
+            entry = parser.parse(text)
+            await self.handler.write_entry(entry, uid)
+        except Exception as exc:
+            logger.exception("Failed to handle page %s: %s", uid, exc)
```



<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
    async def _process(self, text: str, uid: str):
        parser = WikivoyageParser()
        try:
            entry = parser.parse(text)
            await self.handler.write_entry(entry, uid)
        except Exception as exc:
            logger.exception("Failed to handle page %s: %s", uid, exc)
`````

</details>

<!-- suggestion_end -->

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-30T12:04:14Z
author_association: CONTRIBUTOR
diff_hunk: @@ -93,31 +107,18 @@ async def main():
     if max_conc < 0:
         raise ValueError("MAX_CONCURRENT must be >= 0")
 
-    # 8. schedule tasks
-    if max_conc == 0:
-        # unbounded
-        tasks = [
-            asyncio.create_task(process_file(txt, handler))
-            for txt in txt_files
-        ]
-    else:
-        # bounded by semaphore
-        sem = asyncio.Semaphore(max_conc)
 
-        async def bounded(txt):
-            async with sem:
-                return await process_file(txt, handler)
+    # 7. Fetch mappings
+    logger.info("Fetching mappings from SQL dump…")
+    mappings = await fetch_mappings()
+    logger.info(f"Got {len(mappings)} wikibase_item mappings.")
path: main.py
user: login: coderabbitai[bot]
body: _🛠️ Refactor suggestion_

**Add error handling for fetch_mappings.**

The `fetch_mappings` call lacks specific error handling, which could lead to unclear error messages if the SQL dump cannot be fetched or parsed.

```diff
    # 7. Fetch mappings
    logger.info("Fetching mappings from SQL dump…")
-    mappings = await fetch_mappings()
-    logger.info(f"Got {len(mappings)} wikibase_item mappings.")
+    try:
+        mappings = await fetch_mappings()
+        logger.info(f"Got {len(mappings)} wikibase_item mappings.")
+    except Exception as e:
+        logger.error(f"Failed to fetch mappings: {e}")
+        sys.exit(1)
```


> Committable suggestion skipped: line range outside the PR's diff.

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-30T12:04:14Z
author_association: CONTRIBUTOR
diff_hunk: @@ -47,44 +37,182 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = False
+        elif name == "text":
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        # Only filter whitespace for ID fields, preserve all content for text
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            content_stripped = content.strip()
+            if content_stripped:  # Only process non-empty ID content
+                self.currentPageId = content_stripped
+        elif self.inText:
+            # Always append text content, even if it's just whitespace or newlines
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
+
+    async def _bounded_process(self, text: str, uid: str):
+        # Only run N at once
+        async with self.sem:
+            await self._process(text, uid)
+
+async def process_dump(
+    mappings: dict[str, str], handler, max_concurrent: int
+):
+    """
+    Stream-download the bzip2-compressed XML dump and feed to SAX.
+    """
+    xml_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-pages-articles.xml.bz2"
+    )
+    decomp = bz2.BZ2Decompressor()
+    sax_parser = xml.sax.make_parser()
+    dump_handler = WikiDumpHandler(mappings, handler, max_concurrent)
+    sax_parser.setContentHandler(dump_handler)
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(xml_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                sax_parser.feed(text)
path: transform-documents.py
user: login: bcye
body: 4^5 should be 1024, utf-8 is max 4 bytes long. doesnt this guarantee a chunk always contains a whole character?
created_at: 2025-04-30T12:05:22Z
author_association: OWNER
diff_hunk: @@ -47,44 +37,182 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = False
+        elif name == "text":
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        # Only filter whitespace for ID fields, preserve all content for text
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            content_stripped = content.strip()
+            if content_stripped:  # Only process non-empty ID content
+                self.currentPageId = content_stripped
+        elif self.inText:
+            # Always append text content, even if it's just whitespace or newlines
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
+
+    async def _bounded_process(self, text: str, uid: str):
+        # Only run N at once
+        async with self.sem:
+            await self._process(text, uid)
+
+async def process_dump(
+    mappings: dict[str, str], handler, max_concurrent: int
+):
+    """
+    Stream-download the bzip2-compressed XML dump and feed to SAX.
+    """
+    xml_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-pages-articles.xml.bz2"
+    )
+    decomp = bz2.BZ2Decompressor()
+    sax_parser = xml.sax.make_parser()
+    dump_handler = WikiDumpHandler(mappings, handler, max_concurrent)
+    sax_parser.setContentHandler(dump_handler)
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(xml_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                sax_parser.feed(text)
path: transform-documents.py
user: login: coderabbitai[bot]
body: @bcye You've raised an excellent point about UTF-8 and chunk sizes. You're correct that UTF-8 characters are at most 4 bytes long, and the 1MB chunk size (1024 * 1024) is much larger than any single character.

However, the issue isn't related to the chunk size, but rather where the chunk boundaries occur. Since chunks are split based on byte count rather than character boundaries, a multi-byte UTF-8 character can still get split across two chunks:

- Chunk 1 might end with the first 2 bytes of a 3-byte UTF-8 character
- Chunk 2 would begin with the final byte of that character

With `errors="ignore"`, both chunks would discard these partial bytes, causing the entire character to vanish. This happens regardless of chunk size, since the boundary could occur anywhere.

The incremental decoder maintains state between chunks, properly handling these split characters by buffering incomplete bytes until it can form complete characters.

This might explain why "section" nodes disappeared from your JSON output - if section markers contained characters that happened to straddle chunk boundaries, they could have been silently dropped during decoding.

---

<details>
<summary>✏️ Learnings added</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transform-documents.py:61-66
Timestamp: 2025-04-30T12:05:55.445Z
Learning: When streaming and decoding chunked UTF-8 data, always use an incremental decoder (like `codecs.getincrementaldecoder("utf-8")()`) instead of directly decoding each chunk with `decode("utf-8", errors="ignore")`. This prevents data loss when multi-byte UTF-8 characters straddle chunk boundaries, regardless of chunk size.
```

> Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure [review instructions](https://docs.coderabbit.ai/guides/review-instructions). You can manage existing learnings in the [app](https://app.coderabbit.ai/learnings).

</details>




<!-- <agentComponentType>chat-answer</agentComponentType> -->

<!-- <rawResChunk><answer>@bcye You've raised an excellent point about UTF-8 and chunk sizes. You're correct that UTF-8 characters are at most 4 bytes long, and the 1MB chunk size (1024 * 1024) is much larger than any single character.

However, the issue isn't related to the chunk size, but rather where the chunk boundaries occur. Since chunks are split based on byte count rather than character boundaries, a multi-byte UTF-8 character can still get split across two chunks:

- Chunk 1 might end with the first 2 bytes of a 3-byte UTF-8 character
- Chunk 2 would begin with the final byte of that character

With `errors="ignore"`, both chunks would discard these partial bytes, causing the entire character to vanish. This happens regardless of chunk size, since the boundary could occur anywhere.

The incremental decoder maintains state between chunks, properly handling these split characters by buffering incomplete bytes until it can form complete characters.

This might explain why "section" nodes disappeared from your JSON output - if section markers contained characters that happened to straddle chunk boundaries, they could have been silently dropped during decoding.

---

<details>
<summary>✏️ Learnings added</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transform-documents.py:61-66
Timestamp: 2025-04-30T12:05:55.445Z
Learning: When streaming and decoding chunked UTF-8 data, always use an incremental decoder (like `codecs.getincrementaldecoder("utf-8")()`) instead of directly decoding each chunk with `decode("utf-8", errors="ignore")`. This prevents data loss when multi-byte UTF-8 characters straddle chunk boundaries, regardless of chunk size.
```

> Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure [review instructions](https://docs.coderabbit.ai/guides/review-instructions). You can manage existing learnings in the [app](https://app.coderabbit.ai/learnings).

</details>

</answer></rawResChunk> -->

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-30T12:05:57Z
author_association: CONTRIBUTOR
diff_hunk: @@ -93,31 +107,18 @@ async def main():
     if max_conc < 0:
         raise ValueError("MAX_CONCURRENT must be >= 0")
 
-    # 8. schedule tasks
-    if max_conc == 0:
-        # unbounded
-        tasks = [
-            asyncio.create_task(process_file(txt, handler))
-            for txt in txt_files
-        ]
-    else:
-        # bounded by semaphore
-        sem = asyncio.Semaphore(max_conc)
 
-        async def bounded(txt):
-            async with sem:
-                return await process_file(txt, handler)
+    # 7. Fetch mappings
+    logger.info("Fetching mappings from SQL dump…")
+    mappings = await fetch_mappings()
+    logger.info(f"Got {len(mappings)} wikibase_item mappings.")
path: main.py
user: login: bcye
body: I dont think we need to mask error msgs for now, id rather think exposing the raw ones is quite helpful for debugging for now.
created_at: 2025-04-30T12:07:05Z
author_association: OWNER
diff_hunk: @@ -93,31 +107,18 @@ async def main():
     if max_conc < 0:
         raise ValueError("MAX_CONCURRENT must be >= 0")
 
-    # 8. schedule tasks
-    if max_conc == 0:
-        # unbounded
-        tasks = [
-            asyncio.create_task(process_file(txt, handler))
-            for txt in txt_files
-        ]
-    else:
-        # bounded by semaphore
-        sem = asyncio.Semaphore(max_conc)
 
-        async def bounded(txt):
-            async with sem:
-                return await process_file(txt, handler)
+    # 7. Fetch mappings
+    logger.info("Fetching mappings from SQL dump…")
+    mappings = await fetch_mappings()
+    logger.info(f"Got {len(mappings)} wikibase_item mappings.")
path: main.py
user: login: coderabbitai[bot]
body: @bcye That's a valid approach! Exposing the raw error messages during development provides more detailed stack traces and debugging information. I'll keep that in mind for future suggestions.



🐰✨ (thoughtful rabbit)

---

<details>
<summary>✏️ Learnings added</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: main.py:112-114
Timestamp: 2025-04-30T12:07:37.890Z
Learning: For this repository, the developer prefers exposing raw error messages during development rather than masking them with try/except blocks, as they provide more detailed information for debugging.
```

> Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure [review instructions](https://docs.coderabbit.ai/guides/review-instructions). You can manage existing learnings in the [app](https://app.coderabbit.ai/learnings).

</details>




<!-- <agentComponentType>chat-answer</agentComponentType> -->

<!-- <rawResChunk><answer>@bcye That's a valid approach! Exposing the raw error messages during development provides more detailed stack traces and debugging information. I'll keep that in mind for future suggestions.



🐰✨ (thoughtful rabbit)

---

<details>
<summary>✏️ Learnings added</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: main.py:112-114
Timestamp: 2025-04-30T12:07:37.890Z
Learning: For this repository, the developer prefers exposing raw error messages during development rather than masking them with try/except blocks, as they provide more detailed information for debugging.
```

> Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure [review instructions](https://docs.coderabbit.ai/guides/review-instructions). You can manage existing learnings in the [app](https://app.coderabbit.ai/learnings).

</details>

</answer></rawResChunk> -->

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-30T12:07:39Z
author_association: CONTRIBUTOR
diff_hunk: @@ -0,0 +1,96 @@
+from logging import getLogger
+import xml.sax
+import asyncio
+from .parser import WikivoyageParser
+
+logger = getLogger(__name__)
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            logger.debug("start page")
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            logger.debug("start revision")
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            logger.debug("start text")
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            logger.debug("end page")
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                logger.debug(f"scheduled {wd_id} for handling")
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            else:
+                logger.debug(f"page {pid} without wikidata id, skipping...")
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            logger.debug("end revision")
+            self.inRevision = False
+        elif name == "text":
+            logger.debug("end text")
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        # Only filter whitespace for ID fields, preserve all content for text
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            content_stripped = content.strip()
+            if content_stripped:  # Only process non-empty ID content
+                self.currentPageId = content_stripped
+        elif self.inText:
+            # Always append text content, even if it's just whitespace or newlines
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
path: transformers/wiki_dump_handler.py
user: login: bcye
body: doesnt your handling fail to propagate the error should fail on error be true?
created_at: 2025-04-30T12:08:16Z
author_association: OWNER
diff_hunk: @@ -0,0 +1,96 @@
+from logging import getLogger
+import xml.sax
+import asyncio
+from .parser import WikivoyageParser
+
+logger = getLogger(__name__)
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            logger.debug("start page")
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            logger.debug("start revision")
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            logger.debug("start text")
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            logger.debug("end page")
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                logger.debug(f"scheduled {wd_id} for handling")
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
path: transformers/wiki_dump_handler.py
user: login: bcye
body: only one caller n/a
created_at: 2025-04-30T12:08:50Z
author_association: OWNER
diff_hunk: @@ -0,0 +1,96 @@
+from logging import getLogger
+import xml.sax
+import asyncio
+from .parser import WikivoyageParser
+
+logger = getLogger(__name__)
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            logger.debug("start page")
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            logger.debug("start revision")
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            logger.debug("start text")
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            logger.debug("end page")
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                logger.debug(f"scheduled {wd_id} for handling")
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
path: transformers/wiki_dump_handler.py
user: login: coderabbitai[bot]
body: @bcye I understand - with only one caller, you can manage task awaiting directly at the call site. Thanks for considering the suggestion!


<!-- <agentComponentType>chat-answer</agentComponentType> -->

<!-- <rawResChunk><answer>@bcye I understand - with only one caller, you can manage task awaiting directly at the call site. Thanks for considering the suggestion!</answer></rawResChunk> -->

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-30T12:09:17Z
author_association: CONTRIBUTOR
diff_hunk: @@ -0,0 +1,96 @@
+from logging import getLogger
+import xml.sax
+import asyncio
+from .parser import WikivoyageParser
+
+logger = getLogger(__name__)
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            logger.debug("start page")
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            logger.debug("start revision")
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            logger.debug("start text")
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            logger.debug("end page")
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                logger.debug(f"scheduled {wd_id} for handling")
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            else:
+                logger.debug(f"page {pid} without wikidata id, skipping...")
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            logger.debug("end revision")
+            self.inRevision = False
+        elif name == "text":
+            logger.debug("end text")
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        # Only filter whitespace for ID fields, preserve all content for text
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            content_stripped = content.strip()
+            if content_stripped:  # Only process non-empty ID content
+                self.currentPageId = content_stripped
+        elif self.inText:
+            # Always append text content, even if it's just whitespace or newlines
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
path: transformers/wiki_dump_handler.py
user: login: coderabbitai[bot]
body: <details>
<summary>🧩 Analysis chain</summary>

@bcye You're absolutely right! My suggestion would indeed prevent errors from propagating up the chain, which would make a `fail_on_error` flag ineffective.

Let me propose an improved solution that preserves the error propagation capability:

```python
async def _process(self, text: str, uid: str):
    parser = WikivoyageParser()
    try:
        entry = parser.parse(text)
        await self.handler.write_entry(entry, uid)
    except Exception as exc:
        logger.exception("Failed to handle page %s: %s", uid, exc)
        # Re-raise the exception to allow for fail-fast behavior
        # This could be conditional on a fail_on_error flag if you add one
        raise
```

This way, the error is logged for visibility but still propagates, allowing any higher-level error handling to work as expected. If you implement a `fail_on_error` flag later, you could make the `raise` conditional on that flag.

Would this approach work better for your use case?



---

🏁 Script executed:
```
#!/bin/bash
# Search for fail_on_error pattern in the codebase
rg "fail_on_error" 

# Also look for other error handling patterns in handler or main code
cat main.py | grep -A 3 -B 3 "error"

# Check how the WikiDumpHandler is instantiated
rg "WikiDumpHandler" -A 5 -B 5
```

Length of output: 3327

---



</details>

@bcye You're absolutely right! My suggestion would interfere with the `fail_on_error` behavior that's already implemented in the base handler.

The results show that the output handlers have a `fail_on_error` flag (defaulting to `True`), and the base handler already uses this to determine whether to raise exceptions on errors:

```python
# From output_handlers/base_handler.py
if self.fail_on_error:
    raise Exception(f"Failed to write entry with UID {uid}")
```

Here's an improved solution that respects this existing pattern:

```python
async def _process(self, text: str, uid: str):
    parser = WikivoyageParser()
    try:
        entry = parser.parse(text)
        await self.handler.write_entry(entry, uid)
    except Exception as exc:
        logger.exception("Failed to handle page %s: %s", uid, exc)
        # Re-raise if fail_on_error is True (which would be consistent with
        # the behavior in the handler's write_entry method)
        if hasattr(self.handler, 'fail_on_error') and self.handler.fail_on_error:
            raise
```

This way, it adds helpful logging while still respecting the error propagation behavior controlled by the handler's `fail_on_error` flag.

---

<details>
<summary>🧬 Code Graph Analysis Results</summary>

### Relevant snippets for `transformers/wiki_dump_handler.py`

---

**File:** `output_handlers/base_handler.py`  
**Lines:** 42-58  
```python
async def write_entry(self, entry: dict, uid: str):
        """
        Public method to write an entry to the output. It handles exceptions and logs errors.

        Args:
            entry (dict): The entry to write (will be JSON-encoded).
            uid (str): The unique identifier for the entry. The default id provided by wikivoyage is recommended. 
        """
        success = await self._write_entry(entry, uid)
        if success:
            self.logger.debug(f"Successfully wrote entry with UID {uid}")
            self._successful_writes += 1
        else:
            self.logger.error(f"Failed to write entry with UID {uid}")
            self._failed_writes += 1
            if self.fail_on_error:
                raise Exception(f"Failed to write entry with UID {uid}")
```
- This snippet shows the `write_entry` method of the handler used in `WikiDumpHandler`. It attempts to write an entry asynchronously and logs success or failure.
- If `fail_on_error` is `True`, it raises an exception on failure, which is relevant to error propagation behavior.

---

**File:** `transformers/parser.py`  
**Lines:** 16-348 (summary)  
```python
class WikivoyageParser:
    """
    A parser for Wikivoyage wikitext to JSON tree structure.
    This class uses mwparserfromhell to parse the wikitext and convert it into a structured JSON format.
    """

    def __init__(self):
        self.root = {
            "type": "root",
            "properties": {},
            "children": []
        }
        self.current_section = self.root

    def parse(self, wikitext: str) -> Dict:
        """Parse wikitext and return structured JSON tree"""
        self.root = {
            "type": "root",
            "properties": {},
            "children": []
        }
        self.current_section = self.root
        
        # Parse the wikitext
        parsed = mwp.parse(wikitext)
        
        # Process the parsed content
        self._process_nodes(parsed)
        
        return self.root

    # Additional methods handle parsing nodes, headings, templates, and converting to markdown.
```
- This class is instantiated and used in `WikiDumpHandler._process` to parse the text before writing.
- Understanding this parser helps contextualize what `write_entry` receives.

---

These snippets provide context on how errors might be raised during `write_entry` calls in `WikiDumpHandler` and how the parsing is done before writing. The `fail_on_error` flag in the handler controls whether exceptions are raised on write failure, which relates directly to the user's question about error propagation.

</details>



---

<details>
<summary>✏️ Learnings added</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transformers/wiki_dump_handler.py:88-91
Timestamp: 2025-04-30T12:09:40.598Z
Learning: In error handling for asynchronous code in structured-wikivoyage-exports, errors should be logged but also re-raised when appropriate to allow for fail-fast behavior, especially if a fail_on_error mechanism is implemented.
```

---

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transformers/wiki_dump_handler.py:88-91
Timestamp: 2025-04-30T12:09:40.598Z
Learning: In the structured-wikivoyage-exports project, error handling in async tasks should respect the `fail_on_error` flag from the output handlers. When adding try/except blocks, exceptions should be re-raised if `self.handler.fail_on_error` is True to maintain consistent error propagation behavior.
```

> Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure [review instructions](https://docs.coderabbit.ai/guides/review-instructions). You can manage existing learnings in the [app](https://app.coderabbit.ai/learnings).

</details>




<!-- <agentComponentType>chat-answer</agentComponentType> -->

<!-- <rawResChunk><answer><details>
<summary>🧩 Analysis chain</summary>

@bcye You're absolutely right! My suggestion would indeed prevent errors from propagating up the chain, which would make a `fail_on_error` flag ineffective.

Let me propose an improved solution that preserves the error propagation capability:

```python
async def _process(self, text: str, uid: str):
    parser = WikivoyageParser()
    try:
        entry = parser.parse(text)
        await self.handler.write_entry(entry, uid)
    except Exception as exc:
        logger.exception("Failed to handle page %s: %s", uid, exc)
        # Re-raise the exception to allow for fail-fast behavior
        # This could be conditional on a fail_on_error flag if you add one
        raise
```

This way, the error is logged for visibility but still propagates, allowing any higher-level error handling to work as expected. If you implement a `fail_on_error` flag later, you could make the `raise` conditional on that flag.

Would this approach work better for your use case?



---

🏁 Script executed:
```
#!/bin/bash
# Search for fail_on_error pattern in the codebase
rg "fail_on_error" 

# Also look for other error handling patterns in handler or main code
cat main.py | grep -A 3 -B 3 "error"

# Check how the WikiDumpHandler is instantiated
rg "WikiDumpHandler" -A 5 -B 5
```

Length of output: 3327

---



</details>

@bcye You're absolutely right! My suggestion would interfere with the `fail_on_error` behavior that's already implemented in the base handler.

The results show that the output handlers have a `fail_on_error` flag (defaulting to `True`), and the base handler already uses this to determine whether to raise exceptions on errors:

```python
# From output_handlers/base_handler.py
if self.fail_on_error:
    raise Exception(f"Failed to write entry with UID {uid}")
```

Here's an improved solution that respects this existing pattern:

```python
async def _process(self, text: str, uid: str):
    parser = WikivoyageParser()
    try:
        entry = parser.parse(text)
        await self.handler.write_entry(entry, uid)
    except Exception as exc:
        logger.exception("Failed to handle page %s: %s", uid, exc)
        # Re-raise if fail_on_error is True (which would be consistent with
        # the behavior in the handler's write_entry method)
        if hasattr(self.handler, 'fail_on_error') and self.handler.fail_on_error:
            raise
```

This way, it adds helpful logging while still respecting the error propagation behavior controlled by the handler's `fail_on_error` flag.

---

<details>
<summary>🧬 Code Graph Analysis Results</summary>

### Relevant snippets for `transformers/wiki_dump_handler.py`

---

**File:** `output_handlers/base_handler.py`  
**Lines:** 42-58  
```python
async def write_entry(self, entry: dict, uid: str):
        """
        Public method to write an entry to the output. It handles exceptions and logs errors.

        Args:
            entry (dict): The entry to write (will be JSON-encoded).
            uid (str): The unique identifier for the entry. The default id provided by wikivoyage is recommended. 
        """
        success = await self._write_entry(entry, uid)
        if success:
            self.logger.debug(f"Successfully wrote entry with UID {uid}")
            self._successful_writes += 1
        else:
            self.logger.error(f"Failed to write entry with UID {uid}")
            self._failed_writes += 1
            if self.fail_on_error:
                raise Exception(f"Failed to write entry with UID {uid}")
```
- This snippet shows the `write_entry` method of the handler used in `WikiDumpHandler`. It attempts to write an entry asynchronously and logs success or failure.
- If `fail_on_error` is `True`, it raises an exception on failure, which is relevant to error propagation behavior.

---

**File:** `transformers/parser.py`  
**Lines:** 16-348 (summary)  
```python
class WikivoyageParser:
    """
    A parser for Wikivoyage wikitext to JSON tree structure.
    This class uses mwparserfromhell to parse the wikitext and convert it into a structured JSON format.
    """

    def __init__(self):
        self.root = {
            "type": "root",
            "properties": {},
            "children": []
        }
        self.current_section = self.root

    def parse(self, wikitext: str) -> Dict:
        """Parse wikitext and return structured JSON tree"""
        self.root = {
            "type": "root",
            "properties": {},
            "children": []
        }
        self.current_section = self.root
        
        # Parse the wikitext
        parsed = mwp.parse(wikitext)
        
        # Process the parsed content
        self._process_nodes(parsed)
        
        return self.root

    # Additional methods handle parsing nodes, headings, templates, and converting to markdown.
```
- This class is instantiated and used in `WikiDumpHandler._process` to parse the text before writing.
- Understanding this parser helps contextualize what `write_entry` receives.

---

These snippets provide context on how errors might be raised during `write_entry` calls in `WikiDumpHandler` and how the parsing is done before writing. The `fail_on_error` flag in the handler controls whether exceptions are raised on write failure, which relates directly to the user's question about error propagation.

</details>



---

<details>
<summary>✏️ Learnings added</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transformers/wiki_dump_handler.py:88-91
Timestamp: 2025-04-30T12:09:40.598Z
Learning: In error handling for asynchronous code in structured-wikivoyage-exports, errors should be logged but also re-raised when appropriate to allow for fail-fast behavior, especially if a fail_on_error mechanism is implemented.
```

---

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transformers/wiki_dump_handler.py:88-91
Timestamp: 2025-04-30T12:09:40.598Z
Learning: In the structured-wikivoyage-exports project, error handling in async tasks should respect the `fail_on_error` flag from the output handlers. When adding try/except blocks, exceptions should be re-raised if `self.handler.fail_on_error` is True to maintain consistent error propagation behavior.
```

> Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure [review instructions](https://docs.coderabbit.ai/guides/review-instructions). You can manage existing learnings in the [app](https://app.coderabbit.ai/learnings).

</details>

</answer></rawResChunk> -->

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-30T12:09:42Z
author_association: CONTRIBUTOR
diff_hunk: @@ -47,44 +37,182 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = False
+        elif name == "text":
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        # Only filter whitespace for ID fields, preserve all content for text
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            content_stripped = content.strip()
+            if content_stripped:  # Only process non-empty ID content
+                self.currentPageId = content_stripped
+        elif self.inText:
+            # Always append text content, even if it's just whitespace or newlines
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
+
+    async def _bounded_process(self, text: str, uid: str):
+        # Only run N at once
+        async with self.sem:
+            await self._process(text, uid)
+
+async def process_dump(
+    mappings: dict[str, str], handler, max_concurrent: int
+):
+    """
+    Stream-download the bzip2-compressed XML dump and feed to SAX.
+    """
+    xml_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-pages-articles.xml.bz2"
+    )
+    decomp = bz2.BZ2Decompressor()
+    sax_parser = xml.sax.make_parser()
+    dump_handler = WikiDumpHandler(mappings, handler, max_concurrent)
+    sax_parser.setContentHandler(dump_handler)
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(xml_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                sax_parser.feed(text)
path: transform-documents.py
user: login: bcye
body: if each chunk's size is divisible by 4 bytes, then we cant land in the middle of a character??
created_at: 2025-04-30T12:10:15Z
author_association: OWNER
diff_hunk: @@ -47,44 +37,182 @@ def gather_handler_kwargs(handler_name: str) -> dict:
     logger.debug(f"Handler kwargs: {kwargs}")
     return kwargs
 
-async def main():
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
+                for m in tuple_re.finditer(buffer):
+                    page_id, prop, value = m.group(1), m.group(2), m.group(3)
+                    if prop == "wikibase_item":
+                        mappings[page_id] = value
+                # keep tail to handle split tuples
+                if len(buffer) > 1000:
+                    buffer = buffer[-1000:]
+    return mappings
+
+class WikiDumpHandler(xml.sax.ContentHandler):
+    """
+    SAX handler that, for each <page> whose <id> is in mappings,
+    collects the <text> and schedules an async task to parse
+    and write via the user‐supplied handler.
+    """
+
+    def __init__(self, mappings, handler, max_concurrent):
+        super().__init__()
+        self.mappings = mappings
+        self.handler = handler
+        self.sem = (
+            asyncio.Semaphore(max_concurrent) if max_concurrent > 0 else None
+        )
+        self.tasks: list[asyncio.Task] = []
+
+        self.currentTag: str | None = None
+        self.inPage = False
+        self.inRevision = False
+        self.inText = False
+        self.currentPageId: str | None = None
+        self.currentText: list[str] = []
+
+    def startElement(self, name, attrs):
+        self.currentTag = name
+        if name == "page":
+            self.inPage = True
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = True
+        elif name == "text" and self.inRevision:
+            self.inText = True
+
+    def endElement(self, name):
+        if name == "page":
+            pid = self.currentPageId
+            if pid and pid in self.mappings:
+                wd_id = self.mappings[pid]
+                text = "".join(self.currentText)
+                # schedule processing
+                if self.sem:
+                    task = asyncio.create_task(self._bounded_process(text, wd_id))
+                else:
+                    task = asyncio.create_task(self._process(text, wd_id))
+                self.tasks.append(task)
+            # reset
+            self.inPage = self.inRevision = self.inText = False
+            self.currentPageId = None
+            self.currentText = []
+        elif name == "revision":
+            self.inRevision = False
+        elif name == "text":
+            self.inText = False
+        self.currentTag = None
+
+    def characters(self, content):
+        # Only filter whitespace for ID fields, preserve all content for text
+        if (
+            self.currentTag == "id"
+            and self.inPage
+            and not self.inRevision
+            and not self.currentPageId
+        ):
+            content_stripped = content.strip()
+            if content_stripped:  # Only process non-empty ID content
+                self.currentPageId = content_stripped
+        elif self.inText:
+            # Always append text content, even if it's just whitespace or newlines
+            self.currentText.append(content)
+
+    async def _process(self, text: str, uid: str):
+        parser = WikivoyageParser()
+        entry = parser.parse(text)
+        await self.handler.write_entry(entry, uid)
+
+    async def _bounded_process(self, text: str, uid: str):
+        # Only run N at once
+        async with self.sem:
+            await self._process(text, uid)
+
+async def process_dump(
+    mappings: dict[str, str], handler, max_concurrent: int
+):
+    """
+    Stream-download the bzip2-compressed XML dump and feed to SAX.
+    """
+    xml_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-pages-articles.xml.bz2"
+    )
+    decomp = bz2.BZ2Decompressor()
+    sax_parser = xml.sax.make_parser()
+    dump_handler = WikiDumpHandler(mappings, handler, max_concurrent)
+    sax_parser.setContentHandler(dump_handler)
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(xml_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                sax_parser.feed(text)
path: transform-documents.py
user: login: coderabbitai[bot]
body: @bcye Unfortunately, making chunk sizes divisible by 4 bytes wouldn't solve the problem. UTF-8 is a variable-length encoding where characters can be 1, 2, 3, or 4 bytes long, and they don't align on fixed 4-byte boundaries.

For example, consider this sequence of characters:
- Character 1: 1 byte (ASCII)
- Character 2: 3 bytes (like a Chinese character)
- Character 3: 1 byte (ASCII)
- Character 4: 3 bytes (another Chinese character)

If we chunk every 4 bytes:
- Chunk 1: [1-byte char][first 3 bytes of char 2]
- Chunk 2: [last byte of char 2][1-byte char][first 2 bytes of char 4]

Characters 2 and 4 would still get split across chunks. Since your data comes from Wikimedia, it likely contains a mix of ASCII, Latin script, CJK characters, etc., creating unpredictable character boundaries.

That's why incremental decoders are the right solution - they maintain state between chunks to properly handle any character that gets split.

(^._.^)ノ

---

<details>
<summary>🧠 Learnings used</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transform-documents.py:61-66
Timestamp: 2025-04-30T12:05:55.445Z
Learning: When streaming and decoding chunked UTF-8 data, always use an incremental decoder (like `codecs.getincrementaldecoder("utf-8")()`) instead of directly decoding each chunk with `decode("utf-8", errors="ignore")`. This prevents data loss when multi-byte UTF-8 characters straddle chunk boundaries, regardless of chunk size.
```

</details>




<!-- <agentComponentType>chat-answer</agentComponentType> -->

<!-- <rawResChunk><answer>@bcye Unfortunately, making chunk sizes divisible by 4 bytes wouldn't solve the problem. UTF-8 is a variable-length encoding where characters can be 1, 2, 3, or 4 bytes long, and they don't align on fixed 4-byte boundaries.

For example, consider this sequence of characters:
- Character 1: 1 byte (ASCII)
- Character 2: 3 bytes (like a Chinese character)
- Character 3: 1 byte (ASCII)
- Character 4: 3 bytes (another Chinese character)

If we chunk every 4 bytes:
- Chunk 1: [1-byte char][first 3 bytes of char 2]
- Chunk 2: [last byte of char 2][1-byte char][first 2 bytes of char 4]

Characters 2 and 4 would still get split across chunks. Since your data comes from Wikimedia, it likely contains a mix of ASCII, Latin script, CJK characters, etc., creating unpredictable character boundaries.

That's why incremental decoders are the right solution - they maintain state between chunks to properly handle any character that gets split.

(^._.^)ノ

---

<details>
<summary>🧠 Learnings used</summary>

```
Learnt from: bcye
PR: bcye/structured-wikivoyage-exports#18
File: transform-documents.py:61-66
Timestamp: 2025-04-30T12:05:55.445Z
Learning: When streaming and decoding chunked UTF-8 data, always use an incremental decoder (like `codecs.getincrementaldecoder("utf-8")()`) instead of directly decoding each chunk with `decode("utf-8", errors="ignore")`. This prevents data loss when multi-byte UTF-8 characters straddle chunk boundaries, regardless of chunk size.
```

</details>

</answer></rawResChunk> -->

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-30T12:10:41Z
author_association: CONTRIBUTOR
diff_hunk: @@ -0,0 +1,42 @@
+from logging import getLogger
+import zlib
+import re
+import aiohttp
+
+logger = getLogger(__name__)
+
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
path: transformers/fetch_mappings.py
user: login: moll-re
body: What do you think @bcye ? Is there a risk of missing the last entries?
created_at: 2025-04-30T19:03:45Z
author_association: COLLABORATOR
diff_hunk: @@ -0,0 +1,42 @@
+from logging import getLogger
+import zlib
+import re
+import aiohttp
+
+logger = getLogger(__name__)
+
+async def fetch_mappings() -> dict[str, str]:
+    """
+    Download and gunzip the page_props SQL dump, extract
+    page→wikibase_item mappings.
+    """
+    sql_url = (
+        "https://dumps.wikimedia.org/"
+        "enwikivoyage/latest/"
+        "enwikivoyage-latest-page_props.sql.gz"
+    )
+    # decompress gzip
+    decomp = zlib.decompressobj(16 + zlib.MAX_WBITS)
+    # regex for tuples: (page,'prop','value',NULL_or_number)
+    tuple_re = re.compile(r"\((\d+),'([^']+)','([^']+)',(NULL|[\d\.]+)\)")
+    buffer = ""
+    mappings: dict[str, str] = {}
+
+    async with aiohttp.ClientSession() as session:
+        async with session.get(sql_url) as resp:
+            resp.raise_for_status()
+            async for chunk in resp.content.iter_chunked(1024 * 1024):
+                data = decomp.decompress(chunk)
+                if not data:
+                    continue
+                text = data.decode("utf-8", errors="ignore")
+                buffer += text
path: transformers/fetch_mappings.py
user: login: coderabbitai[bot]
body: > Seems like the humans are having a chat. I'll hop back into my burrow for now. If you need me again, just tag @coderabbitai in a new comment, and I'll come hopping out!

<!-- This is an auto-generated mute comment by CodeRabbit -->
created_at: 2025-04-30T19:04:10Z
author_association: CONTRIBUTOR

PR comments:
user: login: coderabbitai[bot]
created_at: 2025-04-26T13:55:03Z
body: <!-- This is an auto-generated comment: summarize by coderabbit.ai -->
<!-- walkthrough_start -->

## Walkthrough

This set of changes removes the previous Node.js-based pipeline for extracting and processing Wikimedia dump data and replaces it with a new Python-based streaming solution. The Node.js files (`split-dump.ts` and `package.json`) are deleted. In their place, new Python modules are introduced to asynchronously fetch and parse the SQL and XML dumps from Wikimedia, extract mappings, and process page content using SAX parsing and concurrency control. The main Python script is refactored to orchestrate this new workflow, dynamically loading handlers, and managing concurrency. The new architecture is modularized under the `transformers` package.

## Changes

| Files/Paths                                      | Change Summary                                                                                                         |
|--------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|
| package.json, split-dump.ts                      | Removed all Node.js project files and logic for streaming and parsing Wikimedia dumps.                                 |
| main.py                                          | Refactored to use new Python streaming XML dump processing; removed local file processing; added async orchestration.  |
| transformers/__init__.py                         | Added to expose key components (`fetch_mappings`, `WikiDumpHandler`, `WikivoyageParser`) in the package namespace.    |
| transformers/fetch_mappings.py                   | Added async function to download, decompress, and parse SQL dump for page ID to Wikibase item mappings.                |
| transformers/wiki_dump_handler.py                | Added SAX XML handler class for streaming, concurrent processing of Wikipedia dump pages with mapping and parsing.     |

## Sequence Diagram(s)

```mermaid
sequenceDiagram
    participant Main
    participant FetchMappings
    participant WikiDumpHandler
    participant SAXParser
    participant Handler

    Main->>FetchMappings: fetch_mappings()
    FetchMappings-->>Main: mappings dict

    Main->>SAXParser: parse XML dump with WikiDumpHandler
    SAXParser->>WikiDumpHandler: startElement/endElement/characters
    WikiDumpHandler->>Handler: (async) handle parsed entry (if page ID in mappings)
    Handler-->>WikiDumpHandler: (async) complete
    WikiDumpHandler-->>SAXParser: tasks scheduled

    Main->>Handler: close()
```

## Assessment against linked issues

| Objective                                                      | Addressed | Explanation                                                                                   |
|---------------------------------------------------------------|-----------|-----------------------------------------------------------------------------------------------|
| Integrate NodeJS script into python (#16)                      | ✅        |                                                                                               |

## Poem

> Oh, the Node.js code has hopped away,  
> Python now streams the Wikimedia hay!  
> Async and SAX, we parse with delight,  
> Mappings and entries, all handled just right.  
> With every new handler and module in place,  
> This rabbit’s code runs a much faster race!  
> 🐇✨

<!-- walkthrough_end -->
<!-- internal state start -->


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 -->

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author_association: CONTRIBUTOR
user: login: moll-re
created_at: 2025-04-29T16:36:41Z
body: This is nice! Could the dumphandler move to a separate file? And sprinkle in a little logging?
There are some nitpicks but globally this seems solid. I would set up the testing and building and then we can iterate over some adjustments.
author_association: COLLABORATOR
user: login: bcye
created_at: 2025-04-29T19:47:19Z
body: yeah good idea: i would make a "transform" module with two files (mapping fetch, xml parse) - sound good?

wdym by building? testing sounds good, not entirely sure how needed its yet here as the schema should be stable and edge cases are probably found by examining/using it but its always great to have some
author_association: OWNER
user: login: moll-re
created_at: 2025-04-30T08:20:33Z
body: Yes, a `transform` module would be perfect.
I just meant that building of the docker container and testing (so #21 and #20 ) are the logical follow up to this.
I might have some suggestions for the logic but they're not urgent and we can add them later.
author_association: COLLABORATOR
user: login: bcye
created_at: 2025-04-30T09:27:12Z
body: ah, so you meant you will add some to those PRs later?
author_association: OWNER
user: login: bcye
created_at: 2025-04-30T11:06:10Z
body: Just noticed that there seems to be some larger issue with this PR. The outputted json files seem to not contain "section" type nodes anymore, will have to investigate why. Found this for Paris and Basel
author_association: OWNER
user: login: bcye
created_at: 2025-04-30T14:18:26Z
body: @moll-re haven't really observed the issues coderabbit is raising in practice. should we merge first and possibly do these small cleanups at a later time? i think its more important right now to get the basics working well
author_association: OWNER
user: login: moll-re
created_at: 2025-04-30T19:11:11Z
body: Ah sorry, I just saw your suggestion. Yes these issues seem minor to me as well. And I don't see how they would explain the missing sections.
I think we can merge first and add small fixes later on.
author_association: COLLABORATOR
user: login: bcye
created_at: 2025-04-30T19:12:36Z
body: > And I don't see how they would explain the missing sections.

oh sorry, i thought you saw that commit :D i already fixed that issue, that was quite blocking indeed
author_association: OWNER