generated from nhcarrigan/template
feat: add multi-lang support and cohort scripts (#1)
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### Explanation _No response_ ### Issue _No response_ ### Attestations - [ ] I have read and agree to the [Code of Conduct](https://docs.nhcarrigan.com/community/coc/) - [ ] I have read and agree to the [Community Guidelines](https://docs.nhcarrigan.com/community/guide/). - [ ] My contribution complies with the [Contributor Covenant](https://docs.nhcarrigan.com/dev/covenant/). ### Dependencies - [ ] I have pinned the dependencies to a specific patch version. ### Style - [ ] I have run the linter and resolved any errors. - [ ] My pull request uses an appropriate title, matching the conventional commit standards. - [ ] My scope of feat/fix/chore/etc. correctly matches the nature of changes in my pull request. ### Tests - [ ] My contribution adds new code, and I have added tests to cover it. - [ ] My contribution modifies existing code, and I have updated the tests to reflect these changes. - [ ] All new and existing tests pass locally with my changes. - [ ] Code coverage remains at or above the configured threshold. ### Documentation _No response_ ### Versioning _No response_ Co-authored-by: Hikari <hikari@nhcarrigan.com> Reviewed-on: #1 Co-authored-by: Naomi Carrigan <commits@nhcarrigan.com> Co-committed-by: Naomi Carrigan <commits@nhcarrigan.com>
This commit was merged in pull request #1.
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import json
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BLOCK_EMOJIS = {"mornings": "🌅", "afternoons": "☀️", "evenings": "🌆", "nights": "🌙"}
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def load_all_data():
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"""Load all evaluation data files"""
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with open("discord_verification.json") as f:
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verification = json.load(f)
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with open("proficiency_evaluations.json") as f:
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proficiency = json.load(f)
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with open("availability_analysis.json") as f:
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availability = json.load(f)
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with open("leadership_candidates.json") as f:
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candidates = json.load(f)
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with open("leadership_evaluations.json") as f:
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leadership = json.load(f)
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return verification, proficiency, availability, candidates, leadership
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def build_lookup_dicts(verification, proficiency, availability, leadership):
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"""Build lookup dictionaries by discord_id"""
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verified_usernames = {v[0]: v[1] for v in verification["verified"]}
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prof_by_id = {p["discord_id"]: p for p in proficiency}
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avail_by_id = {a["discord_id"]: a for a in availability}
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lead_by_id = {l["discord_id"]: l for l in leadership}
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return verified_usernames, prof_by_id, avail_by_id, lead_by_id
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def format_availability_blocks(blocks):
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"""Format availability blocks with emojis"""
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if not blocks:
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return "No consistent availability"
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formatted = []
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for block in ["mornings", "afternoons", "evenings", "nights"]:
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if block in blocks:
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formatted.append(f"{BLOCK_EMOJIS[block]} {block.capitalize()}")
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return ", ".join(formatted)
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def format_tech_stack(tech_stack):
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"""Format tech stack list"""
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if not tech_stack:
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return "Not specified"
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return ", ".join(sorted(tech_stack))
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def generate_participants_md(
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non_leader_ids, verified_usernames, prof_by_id, avail_by_id
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):
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"""Generate participants.md for non-leaders"""
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lines = [
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"# Cohort Participants",
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"",
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f"**Total Participants**: {len(non_leader_ids)}",
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"",
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"---",
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"",
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]
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beginner_count = 0
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intermediate_count = 0
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advanced_count = 0
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for discord_id in sorted(non_leader_ids):
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if discord_id not in verified_usernames:
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continue
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username = verified_usernames.get(discord_id, "Unknown")
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prof = prof_by_id.get(discord_id, {})
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avail = avail_by_id.get(discord_id, {})
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proficiency = prof.get("final_proficiency", "unknown")
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tech_stack = prof.get("tech_stack", [])
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blocks = avail.get("available_blocks", [])
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notes = prof.get("notes", [])
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if proficiency == "beginner":
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beginner_count += 1
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elif proficiency == "intermediate":
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intermediate_count += 1
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elif proficiency == "advanced":
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advanced_count += 1
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lines.append(f"## {discord_id}")
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lines.append(f"**Username**: @{username}")
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lines.append(f"**Technical Proficiency**: {proficiency.capitalize()}")
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lines.append(f"**Tech Stack**: {format_tech_stack(tech_stack)}")
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lines.append(f"**Availability**: {format_availability_blocks(blocks)}")
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if notes:
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lines.append(f"**Notes**: {', '.join(notes)}")
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lines.append("")
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verified_count = len([d for d in non_leader_ids if d in verified_usernames])
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summary = [
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"# Cohort Participants",
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"",
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f"**Total Participants**: {verified_count}",
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"",
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"### Proficiency Breakdown",
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f"- Beginner: {beginner_count}",
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f"- Intermediate: {intermediate_count}",
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f"- Advanced: {advanced_count}",
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"",
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"---",
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"",
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]
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return "\n".join(summary + lines[6:])
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def leadership_fit_label(score):
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"""Convert leadership score to label"""
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if score >= 6:
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return "Excellent"
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elif score >= 4:
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return "Good"
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elif score >= 2:
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return "Adequate"
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else:
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return "Needs Review"
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def generate_leaders_md(
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leader_ids, verified_usernames, prof_by_id, avail_by_id, lead_by_id
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):
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"""Generate leaders.md for leadership candidates"""
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verified_leaders = [id for id in leader_ids if id in verified_usernames]
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lines = [
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"# Cohort Leaders",
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"",
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f"**Total Leaders**: {len(verified_leaders)}",
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"",
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"---",
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"",
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]
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sorted_leaders = sorted(
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verified_leaders,
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key=lambda x: lead_by_id.get(x, {}).get("leadership_score", 0),
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reverse=True,
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)
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for discord_id in sorted_leaders:
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username = verified_usernames.get(discord_id, "Unknown")
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prof = prof_by_id.get(discord_id, {})
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avail = avail_by_id.get(discord_id, {})
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lead = lead_by_id.get(discord_id, {})
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proficiency = prof.get("final_proficiency", "unknown")
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tech_stack = prof.get("tech_stack", [])
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blocks = avail.get("available_blocks", [])
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leadership_score = lead.get("leadership_score", 0)
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leadership_fit = lead.get("leadership_fit", "unknown")
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leadership_notes = lead.get("notes", [])
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prof_notes = prof.get("notes", [])
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lines.append(f"## {discord_id}")
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lines.append(f"**Username**: @{username}")
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fit = leadership_fit.capitalize()
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lines.append(f"**Leadership Fit**: {fit} (Score: {leadership_score})")
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lines.append(f"**Technical Proficiency**: {proficiency.capitalize()}")
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lines.append(f"**Tech Stack**: {format_tech_stack(tech_stack)}")
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lines.append(f"**Availability**: {format_availability_blocks(blocks)}")
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if leadership_notes:
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lines.append(f"**Leadership Notes**: {', '.join(leadership_notes)}")
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if prof_notes:
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lines.append(f"**Technical Notes**: {', '.join(prof_notes)}")
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lines.append("")
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excellent = sum(
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1
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for id in verified_leaders
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if lead_by_id.get(id, {}).get("leadership_fit") == "excellent"
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)
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good = sum(
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1
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for id in verified_leaders
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if lead_by_id.get(id, {}).get("leadership_fit") == "good"
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)
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adequate = sum(
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1
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for id in verified_leaders
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if lead_by_id.get(id, {}).get("leadership_fit") == "adequate"
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)
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summary = [
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"# Cohort Leaders",
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"",
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f"**Total Leaders**: {len(verified_leaders)}",
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"",
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"### Leadership Fit Breakdown",
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f"- Excellent: {excellent}",
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f"- Good: {good}",
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f"- Adequate: {adequate}",
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"",
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"---",
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"",
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]
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return "\n".join(summary + lines[6:])
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def main():
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verification, proficiency, availability, candidates, leadership = load_all_data()
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verified_usernames, prof_by_id, avail_by_id, lead_by_id = build_lookup_dicts(
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verification, proficiency, availability, leadership
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)
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leader_ids = set(candidates["leaders"])
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non_leader_ids = set(candidates["non_leaders"])
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verified_ids = set(verified_usernames.keys())
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leader_ids = leader_ids & verified_ids
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non_leader_ids = non_leader_ids & verified_ids
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participants_md = generate_participants_md(
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non_leader_ids, verified_usernames, prof_by_id, avail_by_id
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)
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with open("participants.md", "w") as f:
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f.write(participants_md)
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print(f"Generated participants.md with {len(non_leader_ids)} participants")
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leaders_md = generate_leaders_md(
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leader_ids, verified_usernames, prof_by_id, avail_by_id, lead_by_id
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)
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with open("leaders.md", "w") as f:
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f.write(leaders_md)
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print(f"Generated leaders.md with {len(leader_ids)} leaders")
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if __name__ == "__main__":
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main()
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