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import typing as t
from collections import defaultdict
from functools import reduce
from itertools import chain
from operator import and_, or_
from pathlib import Path
import yaml
from django.conf import settings
def _transform_name(resource_name: str) -> str:
return resource_name.title().replace('And', 'and', -1)
Resource = dict[str, t.Union[str, list[dict[str, str]], dict[str, list[str]]]]
RESOURCES_PATH = Path(settings.BASE_DIR, "pydis_site", "apps", "resources", "resources")
RESOURCES: dict[str, Resource] = {path.stem: yaml.safe_load(path.read_text()) for path
in RESOURCES_PATH.rglob("*.yaml")}
RESOURCE_TABLE = {category: defaultdict(set) for category in (
"topics",
"payment_tiers",
"complexity",
"type"
)}
for name, resource in RESOURCES.items():
for category, tags in resource['tags'].items():
for tag in tags:
RESOURCE_TABLE[category][_transform_name(tag)].add(name)
def yaml_file_matches_search(yaml_data: dict, search_terms: list[str]) -> bool:
"""Checks which resources contain tags for every search term passed."""
search_terms = [x.lower() for x in search_terms]
matching_tags = [x for x in chain(*yaml_data["tags"].values()) if x in search_terms]
return len(matching_tags) >= len(search_terms)
def get_resources_from_search(search_categories: dict[str, set[str]]) -> list[Resource]:
"""Returns a list of all resources that match the given search terms."""
resource_names_that_match = reduce(
and_,
(
reduce(
or_,
(RESOURCE_TABLE[category][label] for label in labels)
)
for category, labels in search_categories.items()
)
)
return [RESOURCES[name_] for name_ in resource_names_that_match]
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