Perplexity Computer
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341 lines
11 KiB
Python
341 lines
11 KiB
Python
#!/usr/bin/env python3
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"""knowledge_base.py - GOFAI symbolic knowledge base for the Timmy Foundation fleet.
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A classical AI knowledge representation system: stores facts as ground atoms,
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supports first-order-logic-style queries, and maintains a provenance chain so
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every belief can be traced back to its source. No neural nets, no embeddings -
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just structured symbolic reasoning over a typed fact store.
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Usage:
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kb = KnowledgeBase()
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kb.assert_fact('agent', 'online', 'timmy')
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kb.assert_fact('task', 'assigned_to', 'task-42', 'timmy')
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results = kb.query('task', 'assigned_to', '?x', 'timmy')
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# results -> [{'?x': 'task-42'}]
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CLI:
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python knowledge_base.py --assert "agent online hermes"
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python knowledge_base.py --query "agent online ?who"
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python knowledge_base.py --dump
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"""
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from __future__ import annotations
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import argparse
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import json
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import os
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import sys
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import time
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Dict, Iterator, List, Optional, Tuple
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# ---------------------------------------------------------------------------
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# Data model
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# ---------------------------------------------------------------------------
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VAR_PREFIX = "?"
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def is_var(term: str) -> bool:
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"""Return True if *term* is a logic variable (starts with '?')."""
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return term.startswith(VAR_PREFIX)
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@dataclass(frozen=True)
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class Fact:
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"""An immutable ground atom: (relation, *args)."""
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relation: str
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args: Tuple[str, ...]
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source: str = "user"
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timestamp: float = field(default_factory=time.time)
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def __str__(self) -> str:
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args_str = " ".join(self.args)
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return f"({self.relation} {args_str})"
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Bindings = Dict[str, str]
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# ---------------------------------------------------------------------------
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# Unification
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# ---------------------------------------------------------------------------
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def unify_term(pattern: str, value: str, bindings: Bindings) -> Optional[Bindings]:
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"""Unify a single pattern term against a ground value.
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Returns updated bindings on success, or None on failure.
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"""
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if is_var(pattern):
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if pattern in bindings:
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return bindings if bindings[pattern] == value else None
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return {**bindings, pattern: value}
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return bindings if pattern == value else None
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def unify_fact(
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pattern: Tuple[str, ...], fact_args: Tuple[str, ...], bindings: Bindings
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) -> Optional[Bindings]:
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"""Unify a full argument tuple, returning final bindings or None."""
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if len(pattern) != len(fact_args):
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return None
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b = bindings
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for p, v in zip(pattern, fact_args):
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b = unify_term(p, v, b)
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if b is None:
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return None
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return b
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# ---------------------------------------------------------------------------
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# Knowledge Base
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# ---------------------------------------------------------------------------
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class KnowledgeBase:
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"""In-memory symbolic knowledge base with optional JSON persistence."""
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def __init__(self, persist_path: Optional[Path] = None) -> None:
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self._facts: List[Fact] = []
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self._persist_path = persist_path
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if persist_path and persist_path.exists():
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self._load(persist_path)
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# ------------------------------------------------------------------
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# Fact management
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# ------------------------------------------------------------------
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def assert_fact(
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self, relation: str, *args: str, source: str = "user"
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) -> Fact:
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"""Add a ground fact to the knowledge base.
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Idempotent: duplicate (relation, args) pairs are not added twice.
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"""
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f = Fact(relation=relation, args=tuple(args), source=source, timestamp=time.time())
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for existing in self._facts:
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if existing.relation == f.relation and existing.args == f.args:
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return existing # already known
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self._facts.append(f)
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if self._persist_path:
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self._save(self._persist_path)
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return f
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def retract_fact(self, relation: str, *args: str) -> int:
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"""Remove all facts matching (relation, *args). Returns count removed."""
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before = len(self._facts)
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self._facts = [
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f
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for f in self._facts
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if not (f.relation == relation and f.args == tuple(args))
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]
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removed = before - len(self._facts)
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if removed and self._persist_path:
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self._save(self._persist_path)
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return removed
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# ------------------------------------------------------------------
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# Query
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# ------------------------------------------------------------------
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def query(
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self, relation: str, *pattern_args: str, source_filter: Optional[str] = None
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) -> List[Bindings]:
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"""Return all binding dictionaries satisfying the query pattern.
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Variables in *pattern_args* start with '?'. Ground terms must match
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exactly. An empty binding dict means the fact matched with no
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variables to bind.
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Args:
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relation: The relation name to match.
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*pattern_args: Mixed ground/variable argument tuple.
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source_filter: Optional provenance filter (e.g. 'scheduler').
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Returns:
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List of binding dicts, one per matching fact.
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"""
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results: List[Bindings] = []
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for fact in self._facts:
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if fact.relation != relation:
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continue
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if source_filter and fact.source != source_filter:
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continue
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b = unify_fact(tuple(pattern_args), fact.args, {})
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if b is not None:
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results.append(b)
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return results
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def query_one(
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self, relation: str, *pattern_args: str
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) -> Optional[Bindings]:
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"""Return the first matching binding dict or None."""
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for b in self.query(relation, *pattern_args):
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return b
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return None
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def facts_for(self, relation: str) -> Iterator[Fact]:
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"""Iterate over all facts with the given relation."""
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for f in self._facts:
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if f.relation == relation:
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yield f
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# ------------------------------------------------------------------
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# Bulk operations
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# ------------------------------------------------------------------
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def all_facts(self) -> List[Fact]:
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"""Return a snapshot of all stored facts."""
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return list(self._facts)
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def fact_count(self) -> int:
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return len(self._facts)
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def clear(self) -> None:
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"""Remove all facts from memory (does not touch disk)."""
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self._facts.clear()
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# ------------------------------------------------------------------
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# Persistence
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# ------------------------------------------------------------------
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def _save(self, path: Path) -> None:
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records = [
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{
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"relation": f.relation,
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"args": list(f.args),
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"source": f.source,
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"timestamp": f.timestamp,
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}
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for f in self._facts
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]
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path.write_text(json.dumps(records, indent=2))
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def _load(self, path: Path) -> None:
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try:
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records = json.loads(path.read_text())
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for r in records:
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self._facts.append(
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Fact(
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relation=r["relation"],
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args=tuple(r["args"]),
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source=r.get("source", "persisted"),
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timestamp=r.get("timestamp", 0.0),
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)
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)
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except (json.JSONDecodeError, KeyError) as exc:
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print(f"[kb] Warning: could not load {path}: {exc}", file=sys.stderr)
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def save_to(self, path: Path) -> None:
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"""Explicitly save to a given path."""
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self._save(path)
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# ------------------------------------------------------------------
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# Debug / display
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# ------------------------------------------------------------------
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def dump(self, relation_filter: Optional[str] = None) -> None:
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"""Print all (or filtered) facts to stdout."""
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for f in self._facts:
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if relation_filter and f.relation != relation_filter:
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continue
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print(f" {f} [source={f.source}]")
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# ---------------------------------------------------------------------------
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# CLI
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# ---------------------------------------------------------------------------
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def _parse_terms(raw: str) -> List[str]:
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"""Split a whitespace-separated string into terms."""
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return raw.strip().split()
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def main() -> None:
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parser = argparse.ArgumentParser(
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description="GOFAI symbolic knowledge base CLI"
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)
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parser.add_argument(
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"--db",
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default="kb.json",
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help="Path to persistent JSON store (default: kb.json)",
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)
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parser.add_argument(
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"--assert",
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dest="assert_stmt",
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metavar="RELATION ARG...",
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help='Assert a fact, e.g. --assert "agent online timmy"',
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)
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parser.add_argument(
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"--retract",
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dest="retract_stmt",
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metavar="RELATION ARG...",
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help='Retract a fact, e.g. --retract "agent online timmy"',
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)
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parser.add_argument(
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"--query",
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dest="query_stmt",
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metavar="RELATION ARG...",
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help='Query the KB, e.g. --query "agent online ?who"',
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)
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parser.add_argument(
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"--dump",
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action="store_true",
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help="Dump all facts",
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)
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parser.add_argument(
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"--relation",
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help="Filter --dump to a specific relation",
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)
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args = parser.parse_args()
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db_path = Path(args.db)
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kb = KnowledgeBase(persist_path=db_path)
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if args.assert_stmt:
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terms = _parse_terms(args.assert_stmt)
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if len(terms) < 2:
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print("ERROR: --assert requires at least RELATION and one ARG", file=sys.stderr)
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sys.exit(1)
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fact = kb.assert_fact(terms[0], *terms[1:], source="cli")
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print(f"Asserted: {fact}")
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if args.retract_stmt:
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terms = _parse_terms(args.retract_stmt)
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if len(terms) < 2:
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print("ERROR: --retract requires at least RELATION and one ARG", file=sys.stderr)
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sys.exit(1)
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n = kb.retract_fact(terms[0], *terms[1:])
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print(f"Retracted {n} fact(s).")
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if args.query_stmt:
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terms = _parse_terms(args.query_stmt)
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if len(terms) < 2:
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print("ERROR: --query requires at least RELATION and one ARG", file=sys.stderr)
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sys.exit(1)
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results = kb.query(terms[0], *terms[1:])
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if not results:
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print("No results.")
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else:
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for i, b in enumerate(results, 1):
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if b:
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bindings_str = ", ".join(f"{k}={v}" for k, v in b.items())
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print(f" [{i}] {bindings_str}")
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else:
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print(f" [{i}] (ground match)")
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if args.dump:
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count = kb.fact_count()
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print(f"Knowledge Base — {count} fact(s):")
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kb.dump(relation_filter=args.relation)
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if not any([args.assert_stmt, args.retract_stmt, args.query_stmt, args.dump]):
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parser.print_help()
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if __name__ == "__main__":
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main() |