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e0f2d0e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | import requests
from schemas.fact_search_schemas import FactCheckEntry, FactCheckResult
class FactCheckService:
"""
A service wrapper around the Google Fact Check Tools API (v1alpha1).
Provides an interface to verify claims and obtain structured verdicts from
fact-checking organizations (BBC, PolitiFact, FactCheck.org, etc.).
Example:
>>> service = FactCheckService(api_key="YOUR_API_KEY")
>>> result = service.verify_claim("COVID-19 vaccines cause infertility")
>>> print(result.summary())
"""
BASE_URL = "https://factchecktools.googleapis.com/v1alpha1/claims:search"
def __init__(self, api_key: str, timeout: int = 10):
"""
Initialize the FactCheckService.
Args:
api_key (str): Google Fact Check Tools API key.
timeout (int): Optional. Request timeout in seconds.
"""
self.api_key = api_key
self.timeout = timeout
def verify_claim(self, claim_text: str) -> FactCheckResult:
"""
Verify a text claim using Google's Fact Check Tools API.
Args:
claim_text (str): The claim or post text to fact-check.
Returns:
FactCheckResult: Structured response with verification details.
"""
params = {"query": claim_text, "key": self.api_key}
try:
response = requests.get(self.BASE_URL, params=params, timeout=self.timeout)
response.raise_for_status()
data = response.json()
except requests.RequestException as e:
return FactCheckResult(verified=False, summary_verdict=f"Request failed: {e}")
if "claims" not in data or not data["claims"]:
return FactCheckResult(verified=False, summary_verdict="Unverified")
entries = []
for claim in data["claims"]:
reviews = claim.get("claimReview", [])
for review in reviews:
entries.append(
FactCheckEntry(
text=claim.get("text", ""),
claimant=claim.get("claimant"),
claim_date=claim.get("claimDate"),
rating=review.get("textualRating"),
publisher=review.get("publisher", {}).get("name"),
url=review.get("url"),
)
)
# Aggregate verdict
verdict_texts = [e.rating.lower() for e in entries if e.rating]
if any(v in verdict_texts for v in ["false", "incorrect", "pants on fire", "mostly false"]):
summary_verdict = "Likely False"
elif any(v in verdict_texts for v in ["true", "mostly true", "accurate"]):
summary_verdict = "Likely True"
else:
summary_verdict = "Mixed / Unclear"
return FactCheckResult(verified=True, summary_verdict=summary_verdict, results=entries)
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