Z User
e45b68bb8b
Real IMAP connection via imapflow library: - Connects to IMAP server (IMAPFlow, TLS on port 993) - Fetches recent messages (configurable limit, default 20) - Extracts: from, fromEmail, subject, date, snippet (200 chars) - Thread-to-contact matching (PRD §6.1): 1. Match sender email against persons table 2. If no person match, extract domain and match against company.website 3. Returns matchedCompany + matchedPerson for each email - Audit-logged (action: crm.mailsync:imap) - Zod validated (host, port, user, password, folder, limit) - 502 on IMAP connection failure with detail - 400 on validation failure Tested: invalid creds → 502 'IMAP connection failed', missing host → 400
48 lines
1.4 KiB
Python
Executable File
48 lines
1.4 KiB
Python
Executable File
#!/usr/bin/env python3
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"""从学习资料生成知识点提取 prompt。
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用法：python3 generate_from_material.py <file_path> <document_id>
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输出：JSON 格式的 prompt（system_prompt + user_prompt），由 agent 发给 LLM 执行。
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LLM 返回知识点 JSON 后，agent 应调用 service.save_knowledge_points() 保存。
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"""
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from pathlib import Path
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import json
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import sys
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sys.path.append(str(Path(__file__).resolve().parents[1] / "src"))
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from quiz_mastery.file_parser import parse_file, build_extraction_prompt
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def main() -> None:
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if len(sys.argv) < 3:
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print("Usage: generate_from_material.py <file_path> <document_id>")
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print(" file_path: Path to study material (.md, .txt, .text)")
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print(" document_id: Identifier for this document")
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sys.exit(1)
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file_path = sys.argv[1]
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document_id = sys.argv[2]
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content = parse_file(file_path)
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prompts = build_extraction_prompt(content)
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output = {
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"action": "extract_knowledge_points",
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"document_id": document_id,
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"file_path": file_path,
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"prompts": prompts,
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"instructions": (
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"Send the system_prompt and user_prompt to an LLM. "
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"The LLM should return a JSON array of knowledge points. "
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"Then call save_knowledge_points(document_id, knowledge_points) to save."
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),
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}
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print(json.dumps(output, ensure_ascii=False, indent=2))
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if __name__ == "__main__":
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main()
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