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https://github.com/Sea-Haven-Industries/workorder-ingest.git
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df65d34eb0
Serverless AWS pipeline that receives Amazon APM work order emails via SES, parses them with Claude AI, and stores structured data in DynamoDB. Includes a web UI dashboard for viewing work orders and event history. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
48 lines
1.2 KiB
Python
48 lines
1.2 KiB
Python
#!/usr/bin/env python3
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"""
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Local test script - parses sample emails through Claude without AWS.
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Usage:
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export ANTHROPIC_API_KEY=sk-ant-...
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python test_local.py
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"""
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import json
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import sys
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from pathlib import Path
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# Add project root to path so we can import the handler's parsing logic
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sys.path.insert(0, str(Path(__file__).parent / "lambdas" / "email_processor"))
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from handler import parse_raw_email, extract_with_claude
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def main():
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samples_dir = Path(__file__).parent / "samples"
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eml_files = list(samples_dir.glob("*.eml"))
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if not eml_files:
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print("No .eml files found in samples/")
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return
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for eml_path in eml_files:
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print(f"\n{'='*80}")
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print(f"FILE: {eml_path.name}")
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print(f"{'='*80}")
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raw = eml_path.read_bytes()
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email_data = parse_raw_email(raw)
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print(f"Subject: {email_data['subject']}")
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print(f"From: {email_data['sender']}")
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print(f"Date: {email_data['date']}")
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print(f"Body preview: {email_data['body'][:200]}...")
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print()
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print("Sending to Claude for extraction...")
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parsed = extract_with_claude(email_data)
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print(json.dumps(parsed, indent=2))
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if __name__ == "__main__":
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main()
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