mirror of
https://github.com/allaunthefox/Research-Stack.git
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allaun
779f4fe413
Add concept extraction/orchestration scripts under scripts/ and infra metadata in infra.json. Generated extraction outputs live under extraction/ and are regenerated from scripts; add extraction/ to .gitignore.
741 lines
24 KiB
Python
741 lines
24 KiB
Python
#!/usr/bin/env -S uv run
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# /// script
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# requires-python = ">=3.11"
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# dependencies = ["gremlinpython>=3.7"]
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# ///
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# INFRA:LIVE gremlin
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# INFRA:LIVE postgres
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"""
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inventory_everything.py
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Build a unified map of every data point / concept in the project:
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- Live PostgreSQL databases on neon-64gb (schemas, tables, row counts)
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- Live Gremlin graph on Azure Cosmos DB (vertex/edge label counts)
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- Local repository source files (Lean, Rust, Python, JS/TS, Markdown, configs, etc.)
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- Curated extraction/ideas.json and extraction/math.json
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Outputs:
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extraction/data_inventory.json - database + repo file summary
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extraction/all_concepts_merged.json - unified concept list (one row per concept)
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Usage:
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uv run scripts/inventory_everything.py [--skip-db]
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"""
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import argparse
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import hashlib
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import json
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import os
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import re
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import subprocess
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import sys
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from datetime import datetime, timezone
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from pathlib import Path
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ROOT = Path(__file__).resolve().parent.parent
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OUT = ROOT / "extraction"
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OUT.mkdir(exist_ok=True)
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SKIP_DIRS = {
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".git", "node_modules", "__pycache__", "venv", ".venv",
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".lake", "target", "lean_binned", "scratch", "shared-data",
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"archive", "result", "result-devcontainer", "extraction",
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".agents", ".claude", ".consolidation-manifests", ".contextstream",
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".cursor", ".devcontainer", ".devin", ".github", ".headroom",
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".hermes", ".kilo", ".kilocode", ".opencode", ".roo", ".vscode",
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".windsurf",
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}
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# Files we know how to turn into named concepts
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SCAN_SUFFIXES = {
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".lean", ".rs", ".py", ".js", ".ts", ".mjs", ".cjs",
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".md", ".json", ".yaml", ".yml", ".toml", ".agda",
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".v", ".sv", ".c", ".h", ".sh", ".tid", ".txt",
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".cff", ".bib", ".tex",
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}
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MAX_FILE_BYTES = 5 * 1024 * 1024
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LAYER_MAP = {
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"0-Core-Formalism": "core",
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"1-Distributed-Systems": "distributed",
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"2-Search-Space": "search",
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"3-Mathematical-Models": "models",
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"4-Infrastructure": "infrastructure",
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"5-Applications": "applications",
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"6-Documentation": "documentation",
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"scripts": "scripts",
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}
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MATH_TYPES = {
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"theorem", "definition", "structure", "type", "predicate",
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"operator", "invariant", "constant", "equation", "algorithm",
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"dataset", "model",
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}
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def short_hash(s: str, n: int = 10) -> str:
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return hashlib.sha1(s.encode()).hexdigest()[:n]
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def layer_tag(rel: Path) -> str:
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if len(rel.parts) <= 1:
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return "root"
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top = rel.parts[0]
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return LAYER_MAP.get(top, top)
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def safe_id(prefix: str, *parts: str) -> str:
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base = "_".join(str(p) for p in parts)
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base = re.sub(r"[^a-zA-Z0-9_]+", "_", base).strip("_").lower()
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return f"{prefix}_{base}"[:120]
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def read_text_limited(path: Path) -> str:
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try:
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size = path.stat().st_size
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if size > MAX_FILE_BYTES:
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return ""
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return path.read_text(errors="replace")
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except Exception:
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return ""
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# ── Scanners ─────────────────────────────────────────────────────────────────
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LEAN_TOP_RE = re.compile(
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r"^(?:@\[.*?\]\s*)*(?:noncomputable\s+|partial\s+|private\s+|protected\s+)*"
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r"(theorem|lemma|def|structure|inductive|class|abbrev|instance|opaque|axiom)"
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r"\s+(\w+)",
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re.MULTILINE,
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)
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LEAN_DOC_RE = re.compile(r"/-(.*?)-/", re.DOTALL)
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LEAN_LINE_DOC_RE = re.compile(r"--\s*(.*)")
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def nearest_doc(text: str, pos: int) -> str:
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"""Return the nearest preceding doc comment (block or line) summary."""
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best = ""
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for m in LEAN_DOC_RE.finditer(text):
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if m.end() <= pos:
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lines = [l.strip() for l in m.group(1).strip().splitlines() if l.strip()]
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best = next((l for l in lines if not l.startswith("-") and len(l) > 5), best)
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if not best:
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# fall back to contiguous line comments immediately above
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lines = []
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prev = text.rfind("\n", 0, pos)
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while prev > 0:
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line_start = text.rfind("\n", 0, prev) + 1
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line = text[line_start:prev].strip()
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m = LEAN_LINE_DOC_RE.match(line)
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if m:
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lines.insert(0, m.group(1).strip())
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elif not line:
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break
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else:
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break
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prev = line_start - 1
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best = " ".join(lines)
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return best[:200]
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def scan_lean(path: Path, rel: Path) -> list:
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text = read_text_limited(path)
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if not text:
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return []
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ns = str(rel.with_suffix("")).replace("/", ".")
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results = []
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for m in LEAN_TOP_RE.finditer(text):
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kind, name = m.group(1), m.group(2)
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ctx = text[max(0, m.start() - 80) : m.start() + 200].lower()
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status = "SORRY" if kind == "theorem" and "sorry" in ctx else "DEFINED"
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if kind in ("theorem", "lemma") and status != "SORRY":
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status = "DEFINED"
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desc = nearest_doc(text, m.start()) or f"{kind} {name} in {rel}"
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h = short_hash(f"{rel}:{name}")
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results.append({
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"id": safe_id("math", name, h),
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"type": kind if kind != "abbrev" else "type",
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"name": name,
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"expression": name,
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"latex": name,
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"description": desc,
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"source_file": str(rel),
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"lean_name": f"{ns}.{name}",
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"lean_status": status,
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"tags": [layer_tag(rel), "lean", ns.split(".")[0] if ns else "lean"],
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"related": [],
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})
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return results
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RUST_TOP_RE = re.compile(
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r"^(?:pub\s+|crate\s+|async\s+)*"
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r"(fn|struct|enum|trait|impl|type|const|static|mod)\s+(?:<[^>]+>\s*)?(\w+)",
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re.MULTILINE,
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)
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def scan_rust(path: Path, rel: Path) -> list:
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text = read_text_limited(path)
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if not text:
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return []
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results = []
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for m in RUST_TOP_RE.finditer(text):
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kind, name = m.group(1), m.group(2)
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h = short_hash(f"{rel}:{name}")
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results.append({
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"id": safe_id("rust", name, h),
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"type": "function" if kind == "fn" else ("structure" if kind in ("struct", "enum") else "definition"),
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"name": name,
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"expression": name,
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"latex": name,
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"description": f"{kind} {name} in {rel}",
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"source_file": str(rel),
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"lean_name": "",
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"lean_status": "NOT_IN_LEAN",
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"tags": [layer_tag(rel), "rust", kind],
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"related": [],
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})
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return results
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PY_TOP_RE = re.compile(r"^(?:async\s+)?(def|class)\s+(\w+)", re.MULTILINE)
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def scan_python(path: Path, rel: Path) -> list:
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text = read_text_limited(path)
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if not text:
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return []
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first = text.lstrip()
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file_comment = ""
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if first.startswith("#"):
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file_comment = first.split("\n", 1)[0][:160]
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results = []
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for m in PY_TOP_RE.finditer(text):
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kind, name = m.group(1), m.group(2)
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h = short_hash(f"{rel}:{name}")
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results.append({
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"id": safe_id("py", name, h),
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"type": "function" if kind == "def" else "structure",
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"name": name,
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"expression": name,
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"latex": name,
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"description": file_comment or f"{kind} {name} in {rel}",
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"source_file": str(rel),
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"lean_name": "",
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"lean_status": "NOT_IN_LEAN",
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"tags": [layer_tag(rel), "python", kind],
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"related": [],
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})
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return results
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JS_TOP_RE = re.compile(
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r"^(?:export\s+(?:default\s+)?)?(?:async\s+)?(?:function\s+|class\s+|interface\s+|type\s+|enum\s+)(\w+)",
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re.MULTILINE,
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)
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JS_CONST_RE = re.compile(r"^(?:export\s+)?(?:const|let|var)\s+(\w+)\s*[:=]", re.MULTILINE)
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def scan_jsts(path: Path, rel: Path) -> list:
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text = read_text_limited(path)
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if not text:
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return []
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results = []
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for m in JS_TOP_RE.finditer(text):
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name = m.group(1)
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h = short_hash(f"{rel}:{name}")
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results.append({
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"id": safe_id("js", name, h),
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"type": "function",
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"name": name,
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"expression": name,
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"latex": name,
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"description": f"{m.group(0).strip()} in {rel}",
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"source_file": str(rel),
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"lean_name": "",
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"lean_status": "NOT_IN_LEAN",
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"tags": [layer_tag(rel), "js_ts"],
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"related": [],
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})
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return results[:200]
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MD_HEADER_RE = re.compile(r"^(#{1,6})\s+(.+)$", re.MULTILINE)
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def scan_markdown(path: Path, rel: Path) -> list:
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text = read_text_limited(path)
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if not text:
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return []
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stem = path.stem.replace("-", "_")
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results = [{
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"id": safe_id("doc", stem, short_hash(str(rel))),
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"type": "concept",
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"name": f"Doc: {path.name}",
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"expression": "",
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"latex": "",
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"description": text[:300].replace("\n", " "),
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"source_file": str(rel),
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"lean_name": "",
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"lean_status": "IDEA",
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"tags": [layer_tag(rel), "markdown", "doc"],
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"related": [],
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}]
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for m in MD_HEADER_RE.finditer(text):
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title = m.group(2).strip()
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if len(title) > 4:
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h = short_hash(f"{rel}:{title}")
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results.append({
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"id": safe_id("doc", re.sub(r"[^a-zA-Z0-9_]", "_", title.lower())[:40], h),
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"type": "concept",
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"name": title,
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"expression": "",
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"latex": "",
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"description": text[m.end():m.end()+250].replace("\n", " "),
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"source_file": str(rel),
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"lean_name": "",
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"lean_status": "IDEA",
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"tags": [layer_tag(rel), "markdown", "section"],
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"related": [],
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})
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return results[:80]
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def scan_json(path: Path, rel: Path) -> list:
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text = read_text_limited(path)
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if not text or len(text) > 500_000:
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return []
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try:
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data = json.loads(text)
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except Exception:
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return []
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keys = []
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if isinstance(data, dict):
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keys = list(data.keys())[:30]
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h = short_hash(str(rel))
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return [{
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"id": safe_id("json", path.stem, h),
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"type": "concept",
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"name": f"JSON: {path.name}",
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"expression": "",
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"latex": "",
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"description": f"Keys: {', '.join(keys[:10])}{'...' if len(keys) > 10 else ''}",
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"source_file": str(rel),
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"lean_name": "",
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"lean_status": "IDEA",
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"tags": [layer_tag(rel), "json"],
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"related": [],
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}]
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YAML_TOP_RE = re.compile(r"^(\w+):", re.MULTILINE)
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def scan_yaml(path: Path, rel: Path) -> list:
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text = read_text_limited(path)
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if not text:
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return []
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keys = YAML_TOP_RE.findall(text)[:20]
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h = short_hash(str(rel))
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return [{
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"id": safe_id("yaml", path.stem, h),
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"type": "concept",
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"name": f"YAML: {path.name}",
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"expression": "",
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"latex": "",
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"description": f"Top keys: {', '.join(keys[:10])}{'...' if len(keys) > 10 else ''}",
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"source_file": str(rel),
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"lean_name": "",
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"lean_status": "IDEA",
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"tags": [layer_tag(rel), "yaml"],
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"related": [],
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}]
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def scan_toml(path: Path, rel: Path) -> list:
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text = read_text_limited(path)
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if not text:
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return []
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sections = re.findall(r"^\[(.+?)\]", text, re.MULTILINE)[:20]
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h = short_hash(str(rel))
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return [{
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"id": safe_id("toml", path.stem, h),
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"type": "concept",
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"name": f"TOML: {path.name}",
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"expression": "",
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"latex": "",
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"description": f"Sections: {', '.join(sections[:10])}{'...' if len(sections) > 10 else ''}",
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"source_file": str(rel),
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"lean_name": "",
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"lean_status": "IDEA",
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"tags": [layer_tag(rel), "toml"],
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"related": [],
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}]
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VERILOG_MOD_RE = re.compile(r"^\s*module\s+(\w+)", re.MULTILINE)
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def scan_verilog(path: Path, rel: Path) -> list:
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text = read_text_limited(path)
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if not text:
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return []
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results = []
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for m in VERILOG_MOD_RE.finditer(text):
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name = m.group(1)
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h = short_hash(f"{rel}:{name}")
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results.append({
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"id": safe_id("verilog", name, h),
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"type": "structure",
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"name": name,
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"expression": name,
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"latex": name,
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"description": f"Verilog module {name} in {rel}",
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"source_file": str(rel),
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"lean_name": "",
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"lean_status": "NOT_IN_LEAN",
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"tags": [layer_tag(rel), "verilog"],
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"related": [],
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})
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return results
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AGDA_TOP_RE = re.compile(r"^(\w+)\s*:", re.MULTILINE)
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def scan_agda(path: Path, rel: Path) -> list:
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text = read_text_limited(path)
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if not text:
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return []
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names = []
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for m in AGDA_TOP_RE.finditer(text):
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name = m.group(1)
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if name[0].islower():
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continue
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names.append(name)
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if len(names) >= 50:
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break
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h = short_hash(str(rel))
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return [{
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"id": safe_id("agda", path.stem, h),
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"type": "definition",
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"name": path.stem,
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"expression": ", ".join(names[:10]),
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"latex": "",
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"description": f"Agda definitions: {', '.join(names[:10])}{'...' if len(names) > 10 else ''}",
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"source_file": str(rel),
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"lean_name": "",
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"lean_status": "NOT_IN_LEAN",
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"tags": [layer_tag(rel), "agda"],
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"related": [],
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}]
|
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|
|
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def scan_shell(path: Path, rel: Path) -> list:
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text = read_text_limited(path)
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|
if not text:
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return []
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funcs = re.findall(r"^\s*(\w+)\s*\(\)", text, re.MULTILINE)[:20]
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h = short_hash(str(rel))
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desc = text.split("\n")[0][:160] if text else ""
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return [{
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"id": safe_id("sh", path.stem, h),
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"type": "concept",
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"name": f"Shell: {path.name}",
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"expression": "",
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"latex": "",
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|
"description": f"{desc} Functions: {', '.join(funcs[:10])}",
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"source_file": str(rel),
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|
"lean_name": "",
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|
"lean_status": "IDEA",
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"tags": [layer_tag(rel), "shell"],
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|
"related": [],
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}]
|
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|
|
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def scan_text(path: Path, rel: Path) -> list:
|
|
text = read_text_limited(path)
|
|
if not text:
|
|
return []
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|
h = short_hash(str(rel))
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title = ""
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|
if path.suffix == ".tid":
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m = re.search(r"^title:\s*(.+)$", text, re.MULTILINE)
|
|
if m:
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title = m.group(1).strip()
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|
return [{
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"id": safe_id("file", path.stem, h),
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|
"type": "concept",
|
|
"name": title or f"File: {path.name}",
|
|
"expression": "",
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|
"latex": "",
|
|
"description": text[:250].replace("\n", " "),
|
|
"source_file": str(rel),
|
|
"lean_name": "",
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|
"lean_status": "IDEA",
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|
"tags": [layer_tag(rel), path.suffix.lstrip(".")],
|
|
"related": [],
|
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}]
|
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|
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|
|
SCANNERS = {
|
|
".lean": scan_lean,
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|
".rs": scan_rust,
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".py": scan_python,
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".js": scan_jsts,
|
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".ts": scan_jsts,
|
|
".mjs": scan_jsts,
|
|
".cjs": scan_jsts,
|
|
".md": scan_markdown,
|
|
".json": scan_json,
|
|
".yaml": scan_yaml,
|
|
".yml": scan_yaml,
|
|
".toml": scan_toml,
|
|
".v": scan_verilog,
|
|
".sv": scan_verilog,
|
|
".agda": scan_agda,
|
|
".sh": scan_shell,
|
|
".tid": scan_text,
|
|
".txt": scan_text,
|
|
".cff": scan_text,
|
|
".bib": scan_text,
|
|
".tex": scan_text,
|
|
".c": scan_text,
|
|
".h": scan_text,
|
|
}
|
|
|
|
|
|
def should_skip_dir(p: Path) -> bool:
|
|
if p.name in SKIP_DIRS:
|
|
return True
|
|
if p.name.startswith(".") and p.name != ".github":
|
|
return True
|
|
return False
|
|
|
|
|
|
def walk_sources(base: Path):
|
|
stack = [base]
|
|
while stack:
|
|
p = stack.pop()
|
|
if p.is_dir():
|
|
if should_skip_dir(p):
|
|
continue
|
|
try:
|
|
for c in sorted(p.iterdir(), key=lambda x: x.name):
|
|
stack.append(c)
|
|
except PermissionError:
|
|
continue
|
|
elif p.is_file() and p.suffix.lower() in SCAN_SUFFIXES:
|
|
yield p
|
|
|
|
|
|
# ── Database inventory ───────────────────────────────────────────────────────
|
|
|
|
def psql_json(db: str, sql: str) -> list:
|
|
cmd = [
|
|
"ssh", "neon-64gb",
|
|
f"podman exec -i arxiv-pg psql -U postgres -d {db} -t -A -F '|' -c \"{sql}\""
|
|
]
|
|
proc = subprocess.run(cmd, capture_output=True, text=True)
|
|
if proc.returncode != 0:
|
|
print(f" [db {db}] error: {proc.stderr.strip()}", file=sys.stderr)
|
|
return []
|
|
out = []
|
|
for line in proc.stdout.splitlines():
|
|
if not line.strip():
|
|
continue
|
|
out.append(line.split("|"))
|
|
return out
|
|
|
|
|
|
def inventory_postgres() -> dict:
|
|
result = {"host": "neon-64gb", "databases": {}}
|
|
dbs = psql_json(
|
|
"postgres",
|
|
"SELECT datname, pg_size_pretty(pg_database_size(datname)) "
|
|
"FROM pg_database WHERE datname NOT IN ('template0','template1','postgres') "
|
|
"ORDER BY pg_database_size(datname) DESC"
|
|
)
|
|
for row in dbs:
|
|
db_name, size = row[0], row[1]
|
|
tables = psql_json(
|
|
db_name,
|
|
"SELECT schemaname, relname, n_live_tup, "
|
|
"pg_size_pretty(pg_total_relation_size(schemaname||'.'||relname)) "
|
|
"FROM pg_stat_user_tables "
|
|
"WHERE schemaname NOT IN ('pg_catalog','information_schema') "
|
|
"ORDER BY n_live_tup DESC"
|
|
)
|
|
result["databases"][db_name] = {
|
|
"size": size,
|
|
"tables": [
|
|
{
|
|
"schema": t[0],
|
|
"table": t[1],
|
|
"rows": int(t[2]) if t[2].isdigit() else 0,
|
|
"size": t[3],
|
|
}
|
|
for t in tables
|
|
],
|
|
}
|
|
return result
|
|
|
|
|
|
def load_gremlin_creds() -> dict:
|
|
env = {}
|
|
creds = ROOT / ".env.gremlin"
|
|
if creds.exists():
|
|
for line in creds.read_text().splitlines():
|
|
if "=" in line and not line.startswith("#"):
|
|
k, _, v = line.partition("=")
|
|
env[k.strip()] = v.strip().strip('"')
|
|
infra = json.loads((ROOT / "infra.json").read_text())
|
|
return {
|
|
"endpoint": env.get("GREMLIN_ENDPOINT") or infra["services"]["gremlin"]["endpoint"],
|
|
"key": env.get("GREMLIN_PASSWORD") or env.get("GREMLIN_KEY", ""),
|
|
"database": infra["services"]["gremlin"].get("database", "research"),
|
|
"graph": infra["services"]["gremlin"].get("graph", "concepts"),
|
|
}
|
|
|
|
|
|
def inventory_gremlin() -> dict:
|
|
try:
|
|
from gremlin_python.driver import client as gremlin_client
|
|
from gremlin_python.driver.serializer import GraphSONSerializersV2d0
|
|
except ImportError as e:
|
|
return {"error": f"gremlinpython not installed: {e}"}
|
|
creds = load_gremlin_creds()
|
|
gc = gremlin_client.Client(
|
|
creds["endpoint"], "g",
|
|
username=f"/dbs/{creds['database']}/colls/{creds['graph']}",
|
|
password=creds["key"],
|
|
message_serializer=GraphSONSerializersV2d0(),
|
|
)
|
|
try:
|
|
v_total = len(gc.submit("g.V().limit(100000).id()").all().result())
|
|
e_total = len(gc.submit("g.E().limit(100000).id()").all().result())
|
|
v_labels = gc.submit("g.V().groupCount().by(label)").all().result()
|
|
e_labels = gc.submit("g.E().groupCount().by(label)").all().result()
|
|
return {
|
|
"endpoint": creds["endpoint"],
|
|
"graph": creds["graph"],
|
|
"vertices": v_total,
|
|
"edges": e_total,
|
|
"vertex_labels": v_labels[0] if v_labels else {},
|
|
"edge_labels": e_labels[0] if e_labels else {},
|
|
}
|
|
except Exception as e:
|
|
return {"error": str(e)}
|
|
finally:
|
|
gc.close()
|
|
|
|
|
|
# ── Curated files ────────────────────────────────────────────────────────────
|
|
|
|
def load_curated() -> tuple[list, list]:
|
|
ideas, math = [], []
|
|
ideas_file = ROOT / "extraction" / "ideas.json"
|
|
math_file = ROOT / "extraction" / "math.json"
|
|
if ideas_file.exists():
|
|
ideas = json.loads(ideas_file.read_text()).get("ideas", [])
|
|
if math_file.exists():
|
|
math = json.loads(math_file.read_text()).get("math", [])
|
|
return ideas, math
|
|
|
|
|
|
# ── Main ─────────────────────────────────────────────────────────────────────
|
|
|
|
def main():
|
|
ap = argparse.ArgumentParser(description="Inventory every data point in the project")
|
|
ap.add_argument("--skip-db", action="store_true", help="Skip live database inventory")
|
|
ap.add_argument("--skip-repo", action="store_true", help="Skip local repo scan")
|
|
args = ap.parse_args()
|
|
|
|
generated_at = datetime.now(timezone.utc).isoformat()
|
|
data_inventory = {
|
|
"schema": "research_stack_data_inventory_v1",
|
|
"generated_at": generated_at,
|
|
"postgres": None,
|
|
"gremlin": None,
|
|
}
|
|
|
|
if not args.skip_db:
|
|
print("[1/3] Inventorying PostgreSQL...", flush=True)
|
|
data_inventory["postgres"] = inventory_postgres()
|
|
print(" PostgreSQL done.", flush=True)
|
|
|
|
print("[2/3] Inventorying Gremlin...", flush=True)
|
|
data_inventory["gremlin"] = inventory_gremlin()
|
|
print(" Gremlin done.", flush=True)
|
|
else:
|
|
print("[1-2/3] Skipping database inventory.", flush=True)
|
|
|
|
all_concepts = []
|
|
file_summary = {"total_files": 0, "by_extension": {}, "by_layer": {}}
|
|
|
|
if not args.skip_repo:
|
|
print("[3/3] Scanning local repository...", flush=True)
|
|
curated_ideas, curated_math = load_curated()
|
|
all_concepts.extend(curated_math)
|
|
all_concepts.extend({
|
|
**idea,
|
|
"type": "concept",
|
|
"tags": list(set(idea.get("tags", []) + ["curated", "idea"])),
|
|
} for idea in curated_ideas)
|
|
|
|
for path in walk_sources(ROOT):
|
|
rel = path.relative_to(ROOT)
|
|
file_summary["total_files"] += 1
|
|
ext = path.suffix.lower() or "(none)"
|
|
file_summary["by_extension"][ext] = file_summary["by_extension"].get(ext, 0) + 1
|
|
layer = layer_tag(rel)
|
|
file_summary["by_layer"][layer] = file_summary["by_layer"].get(layer, 0) + 1
|
|
|
|
scanner = SCANNERS.get(ext)
|
|
if not scanner:
|
|
continue
|
|
try:
|
|
concepts = scanner(path, rel)
|
|
except Exception as exc:
|
|
print(f" [skip] {rel}: {exc}", file=sys.stderr)
|
|
continue
|
|
all_concepts.extend(concepts)
|
|
|
|
print(f" Scanned {file_summary['total_files']} files, {len(all_concepts)} concepts.", flush=True)
|
|
else:
|
|
print("[3/3] Skipping local repo scan.", flush=True)
|
|
|
|
# Deduplicate by id, keeping first occurrence
|
|
seen = set()
|
|
deduped = []
|
|
for c in all_concepts:
|
|
cid = c.get("id")
|
|
if not cid or cid in seen:
|
|
continue
|
|
seen.add(cid)
|
|
deduped.append(c)
|
|
|
|
by_type = {}
|
|
by_layer = {}
|
|
for c in deduped:
|
|
by_type[c.get("type", "unknown")] = by_type.get(c.get("type", "unknown"), 0) + 1
|
|
layer = layer_tag(Path(c.get("source_file", "")))
|
|
by_layer[layer] = by_layer.get(layer, 0) + 1
|
|
|
|
data_inventory["repo_files"] = file_summary
|
|
data_inventory["concept_count"] = len(deduped)
|
|
data_inventory["concept_summary"] = {"by_type": by_type, "by_layer": by_layer}
|
|
|
|
(OUT / "data_inventory.json").write_text(json.dumps(data_inventory, indent=2))
|
|
(OUT / "all_concepts_merged.json").write_text(json.dumps({"math": deduped}, indent=2))
|
|
|
|
print("\nWrote:")
|
|
print(f" extraction/data_inventory.json")
|
|
print(f" extraction/all_concepts_merged.json ({len(deduped)} concepts)")
|
|
print("Done.")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|