hackernews: add initial dogsheep database importer
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3 changed files with 71 additions and 0 deletions
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@ -112,3 +112,8 @@ class instagram:
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export_path: Paths
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class gdpr:
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export_path: Paths
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class hackernews:
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class dogsheep:
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export_path: Paths
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2
my/hackernews/common.py
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2
my/hackernews/common.py
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@ -0,0 +1,2 @@
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def hackernews_link(id: str) -> str:
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return f'https://news.ycombinator.com/item?id={id}'
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64
my/hackernews/dogsheep.py
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64
my/hackernews/dogsheep.py
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"""
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Hackernews data via Dogsheep [[hacker-news-to-sqlite][https://github.com/dogsheep/hacker-news-to-sqlite]]
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from datetime import datetime
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from typing import Iterator, Sequence, Optional, Dict
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from my.config import hackernews as user_config
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from ..core import Paths
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@dataclass
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class config(user_config.dogsheep):
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# paths[s]/glob to the dogsheep database
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export_path: Paths
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# todo so much boilerplate... really need some common wildcard imports?...
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# at least for stuff which realistically is used in each module like get_files/Sequence/Paths/dataclass/Iterator/Optional
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from ..core import get_files
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from pathlib import Path
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def inputs() -> Sequence[Path]:
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return get_files(config.export_path)
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from .common import hackernews_link
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# TODO not sure if worth splitting into Comment and Story?
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@dataclass(unsafe_hash=True)
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class Item:
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id: str
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type: str
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# TODO is it urc??
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created: datetime
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title: Optional[str] # only present for Story
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text_html: Optional[str] # should be present for Comment and might for Story
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url: Optional[str] # might be present for Story
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# todo process 'deleted'? fields?
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# todo process 'parent'?
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@property
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def permalink(self) -> str:
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return hackernews_link(self.id)
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from ..core.error import Res
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from ..core.dataset import connect_readonly
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def items() -> Iterator[Res[Item]]:
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f = max(inputs())
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with connect_readonly(f) as db:
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items = db['items']
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for r in items.all(order_by='time'):
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yield Item(
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id=r['id'],
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type=r['type'],
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created=datetime.fromtimestamp(r['time']),
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title=r['title'],
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# todo hmm maybe a method to stip off html tags would be nice
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text_html=r['text'],
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url=r['url'],
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)
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