- bin/facts/crm: prove person<->company/company<->project against ooCRM x corpus SoT (knowledge-mesh-seed.yaml), write 78 facts (root=facts) - tools/crmfacts.py + test_crm_facts.py: parser under unit tests (26 pass) - docs/crm-associations-proof.md: provable graph, mistakes, fixes - oo merge 759->763 resolves duplicate GoldenRatio.Exchange legal entity - bin/db/ssh-tunnel: "$0" self-check + accept-new/BatchMode ssh flags - AGENTS.md: document bin/facts/crm
29 lines
979 B
Python
29 lines
979 B
Python
"""crmfacts - pure helpers for bin/facts/crm (association proofing).
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Shared with tools/ unit tests so the corpus-org parser is covered in CI.
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"""
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import re
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def corpus_orgs(raw: str) -> dict[str, dict]:
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"""Parse the orgs block of the CV knowledge-mesh YAML into id -> fields.
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Fields kept: label, kind, period, website. Stops at the first sibling
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top-level key (clients, timeline, ...).
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"""
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m = re.search(r"^orgs:\n(.*?)\n^(?:clients|timeline|tech_weights|nodes|edges):", raw, re.S | re.M)
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if not m:
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return {}
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orgs: dict[str, dict] = {}
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cur = None
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for line in m.group(1).splitlines():
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lm = re.match(r"^\s*- id:\s*(\S+)", line)
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if lm:
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cur = lm.group(1)
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orgs[cur] = {}
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continue
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fm = re.match(r"^\s+(\w+):\s*(.*)$", line)
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if fm and cur and fm.group(1) in ("label", "kind", "period", "website"):
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orgs[cur][fm.group(1)] = fm.group(2).strip()
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return orgs |