300 lines
9.9 KiB
Python
300 lines
9.9 KiB
Python
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"""
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Generic query builder for fluent, chainable access to tarot data.
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Provides Query and QueryResult classes for building filters and accessing data
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in a dynamic, expressive way.
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Usage:
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# By name
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result = letter.iching().name('peace')
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result = letter.alphabet().name('english')
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# By filter expressions
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result = letter.iching().filter('number:1')
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result = letter.alphabet().filter('name:hebrew')
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result = number.number().filter('value:5')
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# Get all results
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results = letter.iching().all() # Dict[int, Hexagram]
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results = letter.iching().list() # List[Hexagram]
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"""
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from typing import Any, Callable, Dict, Generic, List, Optional, TypeVar, Union
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from utils.object_formatting import format_value, get_object_attributes, is_nested_object
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T = TypeVar('T')
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class QueryResult:
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"""Single result from a query."""
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def __init__(self, data: Any) -> None:
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self.data = data
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def __repr__(self) -> str:
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if hasattr(self.data, '__repr__'):
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return repr(self.data)
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return f"{self.__class__.__name__}({self.data})"
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def __str__(self) -> str:
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if hasattr(self.data, '__str__'):
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return str(self.data)
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return repr(self)
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def __getattr__(self, name: str) -> Any:
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"""Pass through attribute access to the wrapped data."""
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if name.startswith('_'):
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raise AttributeError(f"'{self.__class__.__name__}' object has no attribute '{name}'")
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return getattr(self.data, name)
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class Query:
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"""
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Fluent query builder for accessing and filtering tarot data.
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Supports chaining: .filter() → .name() → .get()
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"""
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def __init__(self, data: Union[Dict[Any, T], List[T]]) -> None:
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"""Initialize with data source (dict or list)."""
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self._original_data = data
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self._data = data if isinstance(data, list) else list(data.values())
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self._filters: List[Callable[[T], bool]] = []
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def filter(self, expression: str) -> 'Query':
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"""
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Filter by key:value expression.
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Examples:
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.filter('name:peace')
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.filter('number:1')
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.filter('sephera:gevurah')
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.filter('value:5')
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Supports multiple filters by chaining:
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.filter('number:1').filter('name:creative')
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"""
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key, value = expression.split(':', 1) if ':' in expression else (expression, '')
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def filter_func(item: T) -> bool:
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# Special handling for 'name' key
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if key == 'name':
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if hasattr(item, 'name'):
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value_lower = value.lower()
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item_name = str(item.name).lower()
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return value_lower == item_name or value_lower in item_name
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return False
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if not hasattr(item, key):
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return False
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item_value = getattr(item, key)
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# Flexible comparison
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if isinstance(item_value, str):
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return value.lower() in str(item_value).lower()
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else:
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return str(value) in str(item_value)
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self._filters.append(filter_func)
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return self
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def name(self, value: str) -> Optional['QueryResult']:
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"""
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Deprecated: Use .filter('name:value') instead.
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Find item by name (exact or partial match, case-insensitive).
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Returns QueryResult wrapping the found item, or None if not found.
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"""
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return self.filter(f'name:{value}').first()
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def get(self) -> Optional['QueryResult']:
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"""
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Get first result matching all applied filters.
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Returns QueryResult or None if no match.
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"""
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for item in self._data:
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if all(f(item) for f in self._filters):
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return QueryResult(item)
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return None
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def all(self) -> Dict[Any, T]:
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"""
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Get all results matching filters as dict.
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Returns original dict structure (if input was dict) with filtered values.
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"""
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filtered = {}
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if isinstance(self._original_data, dict):
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for key, item in self._original_data.items():
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if all(f(item) for f in self._filters):
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filtered[key] = item
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else:
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for i, item in enumerate(self._data):
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if all(f(item) for f in self._filters):
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filtered[i] = item
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return filtered
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def list(self) -> List[T]:
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"""
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Get all results matching filters as list.
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Returns list of filtered items.
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"""
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return [item for item in self._data if all(f(item) for f in self._filters)]
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def first(self) -> Optional['QueryResult']:
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"""Alias for get() - returns first matching item."""
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return self.get()
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def count(self) -> int:
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"""Count items matching all filters."""
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return len(self.list())
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def __repr__(self) -> str:
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return f"Query({self.count()} items)"
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def __str__(self) -> str:
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items = self.list()
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if not items:
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return "Query(0 items)"
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return f"Query({self.count()} items): {items[0]}"
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class CollectionAccessor(Generic[T]):
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"""Context-aware accessor that provides a scoped .query() interface."""
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def __init__(self, data_provider: Callable[[], Union[Dict[Any, T], List[T]]]) -> None:
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self._data_provider = data_provider
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def _new_query(self) -> Query:
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data = self._data_provider()
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return Query(data)
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def query(self) -> Query:
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"""Return a new Query scoped to this collection."""
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return self._new_query()
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def filter(self, expression: str) -> Query:
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"""Shortcut to run a filtered query."""
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return self.query().filter(expression)
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def name(self, value: str) -> Optional[QueryResult]:
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"""Shortcut to look up by name."""
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return self.query().name(value)
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def all(self) -> Dict[Any, T]:
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"""Return all entries (optionally filtered)."""
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return self.query().all()
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def list(self) -> List[T]:
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"""Return all entries as a list."""
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return self.query().list()
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def first(self) -> Optional[QueryResult]:
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"""Return first matching entry."""
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return self.query().first()
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def count(self) -> int:
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"""Count entries for this collection."""
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return self.query().count()
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def display(self) -> str:
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"""
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Format all entries for user-friendly display with proper indentation.
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Returns a formatted string with each item separated by blank lines.
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Nested objects are indented and separated with their own sections.
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"""
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from utils.object_formatting import is_nested_object, get_object_attributes
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data = self.all()
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if not data:
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return "(empty collection)"
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lines = []
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for key, item in data.items():
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lines.append(f"--- {key} ---")
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# Format all attributes with proper nesting
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for attr_name, attr_value in get_object_attributes(item):
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if is_nested_object(attr_value):
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lines.append(f" {attr_name}:")
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lines.append(f" --- {attr_name.replace('_', ' ').title()} ---")
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nested = format_value(attr_value, indent=4)
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lines.append(nested)
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else:
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lines.append(f" {attr_name}: {attr_value}")
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lines.append("") # Blank line between items
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return "\n".join(lines)
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def __repr__(self) -> str:
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"""Full detailed representation."""
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return self.display()
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def __str__(self) -> str:
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"""Full detailed string representation."""
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return self.display()
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class FilterableDict(dict):
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"""Dict subclass that provides .filter() method for dynamic querying."""
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def filter(self, expression: str = '') -> Query:
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"""
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Filter dict values by attribute:value expression.
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Examples:
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data.filter('name:peace')
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data.filter('number:1')
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data.filter('') # Returns query of all items
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"""
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return Query(self).filter(expression) if expression else Query(self)
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def display(self) -> str:
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"""
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Format all items in the dict for user-friendly display.
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Returns a formatted string with each item separated by blank lines.
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Nested objects are indented and separated with their own sections.
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"""
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from utils.object_formatting import is_nested_object, get_object_attributes, format_value
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if not self:
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return "(empty collection)"
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lines = []
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for key, item in self.items():
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lines.append(f"--- {key} ---")
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# Format all attributes with proper nesting
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for attr_name, attr_value in get_object_attributes(item):
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if is_nested_object(attr_value):
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lines.append(f" {attr_name}:")
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lines.append(f" --- {attr_name.replace('_', ' ').title()} ---")
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nested = format_value(attr_value, indent=4)
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lines.append(nested)
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else:
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lines.append(f" {attr_name}: {attr_value}")
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lines.append("") # Blank line between items
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return "\n".join(lines)
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def make_filterable(data: Union[Dict[Any, T], List[T]]) -> Union['FilterableDict', Query]:
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"""
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Convert dict or list to a filterable object with .filter() support.
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Examples:
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walls = make_filterable(Cube.wall())
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peace = walls.filter('name:North').first()
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"""
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if isinstance(data, dict):
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# Create a FilterableDict from the regular dict
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filterable = FilterableDict(data)
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return filterable
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else:
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# For lists, wrap in a Query
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return Query(data)
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