VasanthandClaude Opus 5.5
d89dce3c33
ai_sections.html pastes into the no-AI dashboard.html; ai_bridge.py adds one ai_request slot that hands every AI contract request (incl. GET /roi) to the review backend's dispatch(). Desktop page check reruns the web review and cost cases plus a tampered-page gate case. Eval fixture e-pyqt-ai added. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
32 lines
996 B
Python
32 lines
996 B
Python
"""Invoice intake bot: picks up scanned invoices and extracts their fields with an LLM.
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Start it with: python -m bot"""
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import time
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from pathlib import Path
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INBOX = Path(__file__).with_name("inbox")
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def say(line):
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print(line, flush=True)
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time.sleep(0.2)
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def main():
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say("[step 1] Initializing")
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docs = sorted(INBOX.glob("*.pdf"))
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say(f"[inbox] {len(docs)} invoices waiting")
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say("[step 2] Extracting fields")
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for i, doc in enumerate(docs, 1):
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try:
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from extractor import extract_invoice # the LLM call
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rows = extract_invoice(doc.read_bytes(), "application/pdf")
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say(f"[extract] {doc.name}: {len(rows)} fields ({i}/{len(docs)})")
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except Exception as e: # one bad document must not stop the batch
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say(f"ERROR: extraction failed for {doc.name}: {type(e).__name__}")
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say("[step 3] Queueing for review")
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say(f"[all done] {len(docs)} invoices processed")
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if __name__ == "__main__":
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main()
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