mirror of
https://github.com/harvard-edge/cs249r_book.git
synced 2026-07-23 14:31:14 -05:00
Vijay Janapa Reddi
0c833f593f
Add GitHub Actions workflow to auto-create PRs from interview question issues. Add flashcard generation script. Update issue template.
117 lines
3.3 KiB
Python
117 lines
3.3 KiB
Python
import os
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import re
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import sys
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def extract_section(body, header):
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pattern = rf"### {header}
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+(.*?)(?=
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### |$)"
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match = re.search(pattern, body, re.DOTALL)
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if not match:
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return None
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res = match.group(1).strip()
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if res == "_No response_":
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return None
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return res
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def get_badge(difficulty):
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if not difficulty:
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return ''
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if "L3" in difficulty:
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return '<img src="https://img.shields.io/badge/Level-L3_Junior-brightgreen?style=flat-square" alt="Level 3" align="center">'
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elif "L4" in difficulty:
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return '<img src="https://img.shields.io/badge/Level-L4_Mid-blue?style=flat-square" alt="Level 4" align="center">'
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elif "L5" in difficulty:
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return '<img src="https://img.shields.io/badge/Level-L5_Senior-yellow?style=flat-square" alt="Level 5" align="center">'
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elif "L6" in difficulty:
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return '<img src="https://img.shields.io/badge/Level-L6+_Principal-red?style=flat-square" alt="Level 6" align="center">'
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return ''
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def main():
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body = os.environ.get('ISSUE_BODY', '')
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if not body:
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print("Error: No issue body found in environment variables.")
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sys.exit(1)
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track_raw = extract_section(body, "Track")
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difficulty = extract_section(body, "Difficulty Level")
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topic = extract_section(body, "Topic Tag")
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title = extract_section(body, "Question Title")
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prompt = extract_section(body, "The Interviewer Prompt")
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mistake = extract_section(body, "Common Mistake")
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solution = extract_section(body, "Realistic Solution")
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math = extract_section(body, "Napkin Math")
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equation = extract_section(body, "Key Equation")
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link = extract_section(body, "Deep Dive Link")
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if not all([track_raw, difficulty, topic, title, prompt, mistake, solution]):
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print("Error: Missing required fields in the issue body.")
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sys.exit(1)
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track = track_raw.lower().replace("/", "_")
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if track == "data_ops":
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track_folder = "cloud" # Temporary home until a dedicated data/ops folder is made
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else:
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track_folder = track
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badge = get_badge(difficulty)
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flashcard = f"""
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<details>
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<summary><b>{badge} {title}</b> · <code>{topic}</code></summary>
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- **Interviewer:** "{prompt}"
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<details>
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<summary><b>🔍 Reveal Answer</b></summary>
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**Common Mistake:** "{mistake}"
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**Realistic Solution:** {solution}
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"""
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if math:
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flashcard += f"
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> **Napkin Math:** {math}
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"
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if equation:
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flashcard += f"
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> **Key Equation:** {equation}
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"
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if link:
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flashcard += f"
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📖 **Deep Dive:** [Textbook Reference]({link})
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"
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flashcard += """
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</details>
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</details>
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"""
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# We append this to a COMMUNITY.md file in the appropriate track directory
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file_path = f"interviews/{track_folder}/COMMUNITY.md"
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os.makedirs(os.path.dirname(file_path), exist_ok=True)
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if not os.path.exists(file_path):
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with open(file_path, "w") as f:
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f.write(f"# Community Contributions ({track_raw.capitalize()})
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")
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f.write("Questions submitted by the community. Maintainers will periodically migrate these into the main rounds.
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---
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")
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with open(file_path, "a") as f:
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f.write(flashcard)
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f.write("
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---
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")
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print(f"Successfully appended flashcard to {file_path}")
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if __name__ == "__main__":
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main()
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