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65 lines
1.6 KiB
Python
65 lines
1.6 KiB
Python
import re
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from sqlalchemy import func
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from sqlalchemy.orm import joinedload
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import pokedex.db.tables as t
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def _parse_range(value):
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v = int(value)
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return lambda x: x == v
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CRITERION_RX = re.compile(r"""
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\s*
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(?: (?P<field>[-_a-zA-Z0-9]+): )?
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(?P<pattern>
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(?:
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[^\s"]+?
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)+
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)
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""", re.VERBOSE)
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def parse_search_string(string):
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"""Parses a search string!"""
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criteria = {}
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for match in CRITERION_RX.finditer(string):
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# TODO what if there are several of the same match!
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# TODO the cli needs to do append too
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field = match.group('field') or '*'
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criteria[field] = match.group('pattern')
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return criteria
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def search(session, **criteria):
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query = (
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session.query(t.Pokemon)
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.options(
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joinedload(t.Pokemon.species)
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)
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)
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stat_query = (
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session.query(t.PokemonStat.pokemon_id)
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.join(t.PokemonStat.stat)
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)
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do_stat = False
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if criteria.get('name') is not None:
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query = query.filter(t.Pokemon.species.has(func.lower(t.PokemonSpecies.name) == criteria['name'].lower()))
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for stat_ident in (u'attack', u'defense', u'special-attack', u'special-defense', u'speed', u'hp'):
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criterion = criteria.get(stat_ident)
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if criterion is None:
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continue
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do_stat = True
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stat_query = stat_query.filter(
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(t.Stat.identifier == stat_ident)
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& _parse_range(criterion)(t.PokemonStat.base_stat)
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)
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if do_stat:
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query = query.filter(t.Pokemon.id.in_(stat_query.subquery()))
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return query.all()
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