Chris Olson
39a338990f
Closed-loop account-intelligence system: harvest -> relevance filter vs. Capability Library -> synthesize -> score -> deliver -> feedback. - 40-capability Broadcom + VMware library - Live Exa.ai news connector with hard free-plan request ceilings - Provider-agnostic LLM layer (Gemini/Anthropic) with offline mock fallback - LLM confidence wired into composite scoring + low-confidence floor - 7-account pilot list Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
25 lines
878 B
Python
25 lines
878 B
Python
"""Job posting harvester (v1 placeholder -> JSearch/Adzuna in production)."""
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from __future__ import annotations
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from ..types import RawSignal
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from . import account_fixture
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def harvest(account: dict) -> list[RawSignal]:
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out: list[RawSignal] = []
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for item in account_fixture(account["accountId"]).get("jobs", []):
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count = item.get("count", 1)
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prefix = f"[{count} openings] " if count > 1 else ""
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out.append(
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RawSignal(
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account_id=account["accountId"],
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source="jobs",
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signal_type="hiring_surge" if count > 1 else "job_posting",
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content=f"{prefix}{item['title']}: {item['content']}",
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published_at=item["publishedAt"],
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url=item["url"],
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extra={"title": item["title"], "count": count},
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)
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)
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return out
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