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Author SHA1 Message Date
Alexander Whitestone
6b842babcf fix: feat: source distinction - I think vs I know (#793) (closes #802)
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2026-04-17 01:51:41 -04:00
4 changed files with 203 additions and 68 deletions

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# Issue #567 Verification
## Status: ✅ ALREADY IMPLEMENTED ON MAIN
Issue #567 asked for four things:
1. an architecture doc at `evennia-mind-palace.md`
2. a mapping of the 16 tracked Evennia issues to the mind-palace layers
3. Milestone 1 proof: one room, one object, one mutable fact wired to Timmy's burn cycle
4. a comment on the issue with proof of room entry injecting context
All four are already present on `main` in a fresh clone of `timmy-home`.
## Mainline Evidence
### Repo artifacts already on main
- `evennia-mind-palace.md`
- `evennia_tools/mind_palace.py`
- `scripts/evennia/render_mind_palace_entry_proof.py`
- `tests/test_evennia_mind_palace.py`
- `tests/test_evennia_mind_palace_doc.py`
### Acceptance criteria check
- Architecture doc exists at `evennia-mind-palace.md`
- The 16 tracked Evennia issues are mapped in the issue-to-layer table inside `evennia-mind-palace.md`
- Milestone 1 is implemented in `evennia_tools/mind_palace.py` with `Hall of Knowledge`, `The Ledger`, `MutableFact`, `BurnCycleSnapshot`, and deterministic room-entry rendering
- The proof comment already exists on the issue as issue comment #56965
## Historical trail
- PR #711 attempted the issue and posted the room-entry proof comment
- PR #711 was later closed unmerged, but the requested deliverables are present on `main` today and pass targeted verification from a fresh clone
## Verification run from fresh clone
Commands executed:
- `python3 -m pytest tests/test_evennia_layout.py tests/test_evennia_telemetry.py tests/test_evennia_training.py tests/test_evennia_mind_palace.py tests/test_evennia_mind_palace_doc.py -q`
- `python3 -m py_compile evennia_tools/mind_palace.py scripts/evennia/render_mind_palace_entry_proof.py`
- `python3 scripts/evennia/render_mind_palace_entry_proof.py`
Observed result:
- all targeted Evennia mind-palace tests passed
- the Python modules compiled cleanly
- the proof script emitted the expected `ENTER Hall of Knowledge` packet with room context, ledger fact, and Timmy burn-cycle focus
## Recommendation
Close issue #567 as already implemented on `main`.
This verification PR exists only to document the evidence trail cleanly and close the stale issue without re-implementing the already-landed architecture.

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"""
Source Distinction Module — Verified vs Inferred Claims
SOUL.md compliance: "I tell the truth. When I do not know something, I say so.
I do not fabricate confidence."
This module provides explicit source annotation for claims, distinguishing between
what we've verified and what we've inferred or been told.
"""
from enum import Enum
from dataclasses import dataclass, field
from typing import List, Optional, Callable
import re
class SourceType(Enum):
"""Classification of claim sources."""
VERIFIED = "verified" # Directly confirmed by primary source
INFERRED = "inferred" # Derived from evidence, not directly stated
STATED = "stated" # Reported by another source, not independently verified
UNKNOWN = "unknown" # Source unclear or missing
# Hedging patterns that indicate uncertainty
HEDGING_PATTERNS = [
r"\bi think\b",
r"\bi believe\b",
r"\bprobably\b",
r"\bmaybe\b",
r"\bperhaps\b",
r"\bseems?\b",
r"\bappears?\b",
r"\bmight\b",
r"\bcould be\b",
r"\bsort of\b",
r"\bkind of\b",
r"\bi guess\b",
r"\bnot sure\b",
r"\bpossibly\b",
r"\blikely\b",
]
_HEDGING_RE = re.compile("|".join(HEDGING_PATTERNS), re.IGNORECASE)
@dataclass
class Claim:
"""A single claim with source annotation."""
text: str
source: SourceType = SourceType.UNKNOWN
citation: Optional[str] = None
confidence: float = 1.0
def render(self) -> str:
"""Render claim with source indicator."""
prefix = _source_prefix(self.source)
parts = [f"{prefix} {self.text}"]
if self.citation:
parts.append(f"({self.citation})")
return " ".join(parts)
@dataclass
class AnnotatedResponse:
"""A response with explicitly annotated claims."""
claims: List[Claim] = field(default_factory=list)
summary: Optional[str] = None
def add(self, claim: Claim) -> "AnnotatedResponse":
"""Add a claim, return self for chaining."""
self.claims.append(claim)
return self
def render(self) -> str:
"""Render all claims with source indicators."""
lines = []
if self.summary:
lines.append(self.summary)
lines.append("")
for claim in self.claims:
lines.append(claim.render())
return "\n".join(lines)
def _source_prefix(source: SourceType) -> str:
"""Map source type to display prefix."""
return {
SourceType.VERIFIED: "",
SourceType.INFERRED: "~",
SourceType.STATED: "",
SourceType.UNKNOWN: "?",
}[source]
def verified(text: str, citation: Optional[str] = None) -> Claim:
"""Create a verified claim."""
return Claim(text=text, source=SourceType.VERIFIED, citation=citation, confidence=1.0)
def inferred(text: str, citation: Optional[str] = None, confidence: float = 0.7) -> Claim:
"""Create an inferred claim."""
return Claim(text=text, source=SourceType.INFERRED, citation=citation, confidence=confidence)
def stated(text: str, citation: Optional[str] = None) -> Claim:
"""Create a stated (reported but unverified) claim."""
return Claim(text=text, source=SourceType.STATED, citation=citation, confidence=0.5)
def detect_hedging(text: str) -> bool:
"""Check if text contains hedging language."""
return bool(_HEDGING_RE.search(text))
def classify_claim(text: str, has_primary_source: bool = False) -> SourceType:
"""
Classify a claim's source type based on content and context.
If text contains hedging language → STATED
If primary source confirmed → VERIFIED
Otherwise → INFERRED
"""
if detect_hedging(text):
return SourceType.STATED
if has_primary_source:
return SourceType.VERIFIED
return SourceType.INFERRED

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from pathlib import Path
def test_issue_567_verification_doc_exists_with_mainline_evidence() -> None:
text = Path("docs/issue-567-verification.md").read_text(encoding="utf-8")
required_snippets = [
"# Issue #567 Verification",
"## Status: ✅ ALREADY IMPLEMENTED ON MAIN",
"evennia-mind-palace.md",
"evennia_tools/mind_palace.py",
"scripts/evennia/render_mind_palace_entry_proof.py",
"tests/test_evennia_mind_palace.py",
"tests/test_evennia_mind_palace_doc.py",
"PR #711",
"issue comment #56965",
"python3 -m pytest tests/test_evennia_layout.py tests/test_evennia_telemetry.py tests/test_evennia_training.py tests/test_evennia_mind_palace.py tests/test_evennia_mind_palace_doc.py -q",
]
missing = [snippet for snippet in required_snippets if snippet not in text]
assert not missing, missing

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"""Tests for source distinction module — 9 tests."""
import pytest
from scripts.source_distinction import (
SourceType,
Claim,
AnnotatedResponse,
verified,
inferred,
stated,
detect_hedging,
classify_claim,
)
class TestSourceType:
def test_enum_values(self):
assert SourceType.VERIFIED.value == "verified"
assert SourceType.INFERRED.value == "inferred"
assert SourceType.STATED.value == "stated"
assert SourceType.UNKNOWN.value == "unknown"
class TestClaim:
def test_verified_claim_render(self):
c = verified("Server is online", citation="ping 2025-01-15")
result = c.render()
assert "" in result
assert "Server is online" in result
assert "ping 2025-01-15" in result
def test_inferred_claim_render(self):
c = inferred("Traffic is declining", confidence=0.6)
result = c.render()
assert "~" in result
assert c.confidence == 0.6
def test_stated_claim_render(self):
c = stated("I think the build passed")
result = c.render()
assert "" in result
class TestAnnotatedResponse:
def test_render_with_claims(self):
resp = AnnotatedResponse(summary="Status Report")
resp.add(verified("DNS resolved")).add(inferred("Latency is high"))
rendered = resp.render()
assert "Status Report" in rendered
assert "" in rendered
assert "~" in rendered
def test_chaining(self):
resp = AnnotatedResponse()
result = resp.add(verified("a")).add(stated("b"))
assert result is resp
assert len(resp.claims) == 2
class TestHedgingDetection:
def test_detects_hedging(self):
assert detect_hedging("I think the server is down") is True
assert detect_hedging("Probably needs a restart") is True
assert detect_hedging("It seems like traffic spiked") is True
def test_no_hedging(self):
assert detect_hedging("The server is online") is False
assert detect_hedging("CPU at 45%") is False
class TestClassifyClaim:
def test_classifies_correctly(self):
assert classify_claim("I think it failed") == SourceType.STATED
assert classify_claim("Server is up", has_primary_source=True) == SourceType.VERIFIED
assert classify_claim("Traffic increased") == SourceType.INFERRED