AI Meeting Summarizer

# meeting_summarizer.py — Vol. 23 capstone (educational) # Consent first. Cite utterances. Do not invent owners or decisions. import re from fastapi import FastAPI, HTTPException from pydantic import BaseModel, Field app = FastAPI(title="Vol23 Meeting Summarizer") PII_RE = re.compile(r"[\w.+-]+@[\w-]+\.[\w.]+|\+?\d[\d\-\s()]{8,}\d") class Utterance(BaseModel): speaker: str = Field(min_length=1, max_length=80) ts_sec: float | None = None text: str = Field(min_length=1, max_length=4000) class MeetingIn(BaseModel): meeting_id: str tenant_id: str consent_recorded: bool utterances: list[Utterance] = Field(min_length=1, max_length=2000) class ActionItem(BaseModel): owner: str task: str due: str | None = None evidence_speaker: str evidence_span: str class Decision(BaseModel): text: str speakers: list[str] evidence_span: str class RecapOut(BaseModel): summary: str decisions: list[Decision] action_items: list[ActionItem] pii_flags: int status: str def transcript_blob(uts: list[Utterance]) -> str: return "\n".join(f"{u.speaker}: {u.text}" for u in uts) def evidence_in_transcript(span: str, blob: str) -> bool: s = " ".join(span.lower().split()) b = " ".join(blob.lower().split()) return len(s) >= 12 and s in b def llm_extract(blob: str) -> dict: # Replace with structured-output chat (Vol. 13). Return JSON dict. return {"summary": "Replace with model summary.", "decisions": [], "action_items": []} @app.post("/v1/meetings/summarize", response_model=RecapOut) def summarize(body: MeetingIn): if not body.consent_recorded: raise HTTPException(status_code=403, detail="Consent required before transcription or summarization.") blob = transcript_blob(body.utterances) pii_flags = len(PII_RE.findall(blob)) raw = llm_extract(blob) decisions = [Decision.model_validate(d) for d in raw.get("decisions", [])] items = [ActionItem.model_validate(a) for a in raw.get("action_items", [])] speakers = {u.speaker for u in body.utterances} for d in decisions: if not evidence_in_transcript(d.evidence_span, blob): raise HTTPException(status_code=422, detail="Decision evidence span not found in transcript.") for a in items: if a.owner not in speakers: raise HTTPException(status_code=422, detail=f"Invented owner: {a.owner}") if not evidence_in_transcript(a.evidence_span, blob): raise HTTPException(status_code=422, detail="Action evidence span not found in transcript.") return RecapOut( summary=str(raw.get("summary", "")), decisions=decisions, action_items=items, pii_flags=pii_flags, status="needs_hitl_share", )