| from datetime import datetime, timezone |
|
|
| import pyarrow as pa |
|
|
| from govdata.belastingdienst import extract |
| from govdata.belastingdienst.index import Page, fetch_index |
| from govdata.common.http import Fetcher |
|
|
| S = pa.string() |
| PAGES = pa.schema( |
| [("url", S), ("title", S), ("topic", S), ("language", S), ("audience", S), ("lastmod", S), ("text", S)] |
| ) |
|
|
|
|
| class Belastingdienst: |
| name = "belastingdienst" |
| repo_id = "ethux/belastingdienst-dataset" |
| n_shards = 4 |
| key_col = "url" |
| mod_col = "lastmod" |
| shard_col = "url" |
| raw_schema = pa.schema([("url", S), ("lastmod", S), ("fetched_at", S), ("html", S)]) |
| configs = {"pages": PAGES} |
| rate = 2.0 |
| robots_exempt = frozenset() |
| legacy = ("belastingdienst.csv", "data/legacy/belastingdienst.csv") |
|
|
| def index(self, fetcher: Fetcher, limit: int | None) -> dict[str, Page]: |
| return fetch_index(fetcher, limit) |
|
|
| def modified(self, rec: Page) -> str: |
| return rec.lastmod |
|
|
| def fetch(self, fetcher: Fetcher, key: str, rec: Page) -> dict: |
| r = fetcher.get(key) |
| return { |
| "url": key, |
| "lastmod": rec.lastmod, |
| "fetched_at": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"), |
| "html": r.text, |
| } |
|
|
| def build(self, raw: pa.Table, index: dict[str, Page], run_date: str) -> dict[str, list[dict]]: |
| pages = [] |
| for row in raw.to_pylist(): |
| page = extract.extract_page(row["html"], row["url"]) |
| if page is None: |
| continue |
| topic, language, audience = extract.classify(row["url"]) |
| pages.append( |
| { |
| "url": row["url"], |
| "title": page["title"], |
| "topic": topic, |
| "language": language, |
| "audience": audience, |
| "lastmod": row["lastmod"], |
| "text": page["text"], |
| } |
| ) |
| return {"pages": pages} |
|
|
|
|
| SOURCE = Belastingdienst() |
|
|
