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fix/562-ci
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sprint/iss
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# CI Pipeline for Agent PRs
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Implements #562: [FLEET-009] Build CI Pipeline for Agent PRs.
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## Overview
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The agent PR gate (`.gitea/workflows/agent-pr-gate.yml`) automatically validates agent-created PRs before merge.
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## Pipeline Steps
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1. **Risk Classification** — Classifies PR risk (low/medium/high) based on files changed
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2. **Syntax Check** — Validates YAML, JSON, Python, and Bash syntax
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3. **Test Suite** — Runs pytest
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4. **Criteria Verification** — Validates PR against acceptance criteria
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5. **Report** — Posts results as PR comment
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6. **Auto-Merge** — Merges low-risk PRs automatically if all checks pass
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## Risk Levels
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- **Low**: Safe files only (docs, tests, non-critical scripts). Auto-merges on pass.
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- **Medium**: Config or infrastructure changes. Requires human review.
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- **High**: Core system files (SOUL.md, deploy scripts, security code). Always requires human.
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## Failure Handling
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If any check fails:
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- Gate job fails (PR blocked from merge)
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- Report job posts comment with failure details
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- Author sees exactly what failed and why
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## Related
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- Auto-merge script: `scripts/auto_merge.sh` (excludes the-door per #183)
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- PR safety labeler: `scripts/pr-safety-labeler.sh` (labels crisis-critical repos)
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128
scripts/source_distinction.py
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128
scripts/source_distinction.py
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"""
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Source Distinction Module — Verified vs Inferred Claims
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SOUL.md compliance: "I tell the truth. When I do not know something, I say so.
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I do not fabricate confidence."
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This module provides explicit source annotation for claims, distinguishing between
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what we've verified and what we've inferred or been told.
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"""
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from enum import Enum
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from dataclasses import dataclass, field
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from typing import List, Optional, Callable
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import re
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class SourceType(Enum):
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"""Classification of claim sources."""
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VERIFIED = "verified" # Directly confirmed by primary source
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INFERRED = "inferred" # Derived from evidence, not directly stated
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STATED = "stated" # Reported by another source, not independently verified
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UNKNOWN = "unknown" # Source unclear or missing
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# Hedging patterns that indicate uncertainty
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HEDGING_PATTERNS = [
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r"\bi think\b",
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r"\bi believe\b",
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r"\bprobably\b",
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r"\bmaybe\b",
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r"\bperhaps\b",
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r"\bseems?\b",
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r"\bappears?\b",
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r"\bmight\b",
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r"\bcould be\b",
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r"\bsort of\b",
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r"\bkind of\b",
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r"\bi guess\b",
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r"\bnot sure\b",
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r"\bpossibly\b",
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r"\blikely\b",
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]
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_HEDGING_RE = re.compile("|".join(HEDGING_PATTERNS), re.IGNORECASE)
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@dataclass
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class Claim:
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"""A single claim with source annotation."""
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text: str
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source: SourceType = SourceType.UNKNOWN
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citation: Optional[str] = None
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confidence: float = 1.0
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def render(self) -> str:
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"""Render claim with source indicator."""
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prefix = _source_prefix(self.source)
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parts = [f"{prefix} {self.text}"]
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if self.citation:
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parts.append(f"({self.citation})")
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return " ".join(parts)
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@dataclass
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class AnnotatedResponse:
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"""A response with explicitly annotated claims."""
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claims: List[Claim] = field(default_factory=list)
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summary: Optional[str] = None
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def add(self, claim: Claim) -> "AnnotatedResponse":
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"""Add a claim, return self for chaining."""
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self.claims.append(claim)
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return self
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def render(self) -> str:
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"""Render all claims with source indicators."""
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lines = []
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if self.summary:
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lines.append(self.summary)
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lines.append("")
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for claim in self.claims:
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lines.append(claim.render())
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return "\n".join(lines)
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def _source_prefix(source: SourceType) -> str:
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"""Map source type to display prefix."""
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return {
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SourceType.VERIFIED: "✓",
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SourceType.INFERRED: "~",
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SourceType.STATED: "◇",
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SourceType.UNKNOWN: "?",
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}[source]
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def verified(text: str, citation: Optional[str] = None) -> Claim:
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"""Create a verified claim."""
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return Claim(text=text, source=SourceType.VERIFIED, citation=citation, confidence=1.0)
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def inferred(text: str, citation: Optional[str] = None, confidence: float = 0.7) -> Claim:
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"""Create an inferred claim."""
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return Claim(text=text, source=SourceType.INFERRED, citation=citation, confidence=confidence)
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def stated(text: str, citation: Optional[str] = None) -> Claim:
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"""Create a stated (reported but unverified) claim."""
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return Claim(text=text, source=SourceType.STATED, citation=citation, confidence=0.5)
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def detect_hedging(text: str) -> bool:
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"""Check if text contains hedging language."""
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return bool(_HEDGING_RE.search(text))
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def classify_claim(text: str, has_primary_source: bool = False) -> SourceType:
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"""
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Classify a claim's source type based on content and context.
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If text contains hedging language → STATED
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If primary source confirmed → VERIFIED
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Otherwise → INFERRED
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"""
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if detect_hedging(text):
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return SourceType.STATED
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if has_primary_source:
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return SourceType.VERIFIED
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return SourceType.INFERRED
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75
tests/test_source_distinction.py
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tests/test_source_distinction.py
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"""Tests for source distinction module — 9 tests."""
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import pytest
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from scripts.source_distinction import (
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SourceType,
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Claim,
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AnnotatedResponse,
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verified,
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inferred,
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stated,
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detect_hedging,
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classify_claim,
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)
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class TestSourceType:
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def test_enum_values(self):
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assert SourceType.VERIFIED.value == "verified"
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assert SourceType.INFERRED.value == "inferred"
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assert SourceType.STATED.value == "stated"
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assert SourceType.UNKNOWN.value == "unknown"
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class TestClaim:
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def test_verified_claim_render(self):
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c = verified("Server is online", citation="ping 2025-01-15")
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result = c.render()
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assert "✓" in result
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assert "Server is online" in result
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assert "ping 2025-01-15" in result
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def test_inferred_claim_render(self):
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c = inferred("Traffic is declining", confidence=0.6)
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result = c.render()
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assert "~" in result
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assert c.confidence == 0.6
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def test_stated_claim_render(self):
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c = stated("I think the build passed")
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result = c.render()
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assert "◇" in result
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class TestAnnotatedResponse:
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def test_render_with_claims(self):
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resp = AnnotatedResponse(summary="Status Report")
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resp.add(verified("DNS resolved")).add(inferred("Latency is high"))
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rendered = resp.render()
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assert "Status Report" in rendered
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assert "✓" in rendered
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assert "~" in rendered
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def test_chaining(self):
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resp = AnnotatedResponse()
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result = resp.add(verified("a")).add(stated("b"))
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assert result is resp
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assert len(resp.claims) == 2
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class TestHedgingDetection:
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def test_detects_hedging(self):
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assert detect_hedging("I think the server is down") is True
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assert detect_hedging("Probably needs a restart") is True
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assert detect_hedging("It seems like traffic spiked") is True
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def test_no_hedging(self):
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assert detect_hedging("The server is online") is False
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assert detect_hedging("CPU at 45%") is False
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class TestClassifyClaim:
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def test_classifies_correctly(self):
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assert classify_claim("I think it failed") == SourceType.STATED
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assert classify_claim("Server is up", has_primary_source=True) == SourceType.VERIFIED
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assert classify_claim("Traffic increased") == SourceType.INFERRED
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