File size: 1,367 Bytes
ac5c2c9 | 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 | from typing import Dict, Any
from pydantic import BaseModel
class Transcript(BaseModel):
institution_name: str
graduation_year: int
gpa: float
class VisionForensicsAgent:
"""
Vision-Forensics Agent: Extracts structured data from credentials.
"""
async def analyze(self, source_path: str) -> Transcript:
print(f"[VISION] [Vision-Forensics] Extracting structured data from {source_path}")
# Deterministic simulation for demo stability
if "aclas" in source_path.lower():
return Transcript(
institution_name="Atlanta College of Liberal Arts and Sciences",
graduation_year=2025,
gpa=3.8
)
elif "graham" in source_path.lower():
return Transcript(
institution_name="Graham International University",
graduation_year=2024,
gpa=3.9
)
elif "fake" in source_path.lower() or "fraud" in source_path.lower():
return Transcript(
institution_name="Pacific Western University",
graduation_year=2024,
gpa=4.2
)
else:
return Transcript(
institution_name="Unknown Institution",
graduation_year=2024,
gpa=3.5
)
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