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Ship SOFTWARE holographic second-brain Space. publication_eligible false. Lambda = Conjecture 1.
8abad49 verified | # SPDX-License-Identifier: Apache-2.0 | |
| """SZL Second Brain holographic FastAPI Space. | |
| GET / 0-CDN chamber. GET /retrieve and /plan (POST aliases under /api/v1). | |
| SOFTWARE navigator over the public 575-chunk projection. | |
| Λ = Conjecture 1. Never overwrites SZLHOLDINGS/SZL-Khipu-1.5B-BrainNavigator. | |
| """ | |
| from __future__ import annotations | |
| import json | |
| import os | |
| from pathlib import Path | |
| from typing import Any | |
| from fastapi import FastAPI, Query, Request | |
| from fastapi.responses import HTMLResponse, JSONResponse | |
| from second_brain.plan import plan_from_handles | |
| from second_brain.retrieve import index, navigator_context, rag_status, retrieve | |
| ROOT = Path(__file__).resolve().parent | |
| STATIC = ROOT / "static" | |
| CHAMBER = STATIC / "index.html" | |
| RECEIPT = ROOT / "train" / "training_receipt.json" | |
| EVAL = ROOT / "train" / "eval_report.json" | |
| app = FastAPI( | |
| title="SZL Second Brain", | |
| version="1.0.0", | |
| description="SOFTWARE retrieval hologram. Handles only. Λ = Conjecture 1.", | |
| docs_url=None, | |
| redoc_url=None, | |
| ) | |
| def _clip(text: Any, n: int = 2000) -> str: | |
| return str(text or "").strip()[:n] | |
| def _retrieve_payload(q: str, k: int) -> dict[str, Any]: | |
| hit = retrieve(q, k=k) | |
| for handle in hit.get("handles") or []: | |
| if isinstance(handle, dict): | |
| handle.pop("text", None) | |
| handle.pop("_toks", None) | |
| handle.pop("_tf", None) | |
| return hit | |
| def _plan_payload( | |
| q: str, k: int, handles: list[dict[str, Any]] | None = None | |
| ) -> tuple[dict[str, Any], dict[str, Any]]: | |
| hit = _retrieve_payload(q, k) | |
| offered = handles if handles is not None else (hit.get("handles") or []) | |
| planned = plan_from_handles(q, offered if hit.get("ready") else []) | |
| planned["schema"] = "szl.second-brain.plan/v1" | |
| planned["retrieve_ready"] = bool(hit.get("ready")) | |
| planned["corpus_n"] = hit.get("corpus_n") | |
| if not hit.get("ready"): | |
| planned["honesty"] = hit.get("honesty") or "UNAVAILABLE" | |
| planned["last"] = "UNAVAILABLE" | |
| else: | |
| planned["honesty"] = ( | |
| "SOFTWARE lexical planner over offered handles. Never LIVE weights. " | |
| "Score is overlap, never correctness. Controller resolves content." | |
| ) | |
| return planned, hit | |
| def _graph(q: str, hit: dict[str, Any], planned: dict[str, Any]) -> dict[str, Any]: | |
| cited = set(planned.get("citedNodeIds") or []) | |
| handles = hit.get("handles") or [] | |
| scores = hit.get("scores") or [] | |
| return { | |
| "nodes": [{"id": "query", "kind": "QUERY", "label": (q or "")[:80]}] | |
| + [ | |
| { | |
| "id": h["nodeId"], | |
| "kind": "HANDLE", | |
| "label": h.get("note") or h["nodeId"], | |
| "cited": h["nodeId"] in cited, | |
| } | |
| for h in handles | |
| if isinstance(h, dict) and h.get("nodeId") | |
| ], | |
| "edges": [ | |
| { | |
| "from": "query", | |
| "to": h["nodeId"], | |
| "score": scores[i] if i < len(scores) else 0, | |
| } | |
| for i, h in enumerate(handles) | |
| if isinstance(h, dict) and h.get("nodeId") | |
| ], | |
| } | |
| def home() -> HTMLResponse: | |
| page = CHAMBER if CHAMBER.is_file() else STATIC / "chamber.html" | |
| return HTMLResponse(page.read_text(encoding="utf-8")) | |
| def health() -> dict[str, Any]: | |
| st = rag_status() | |
| return { | |
| "ok": bool(st.get("built")), | |
| "product": "SZL Second Brain", | |
| "kind": "SOFTWARE", | |
| "lambda": "CONJECTURE_1", | |
| "chunk_count": st.get("chunk_count", 0), | |
| "corpus_n": st.get("chunk_count", 0), | |
| "index_is_model_weights": False, | |
| "raw_graph_nodes_admitted_to_gradients": 0, | |
| "sku": "SZLHOLDINGS/brain-navigator-r2", | |
| "does_not_overwrite": "SZLHOLDINGS/SZL-Khipu-1.5B-BrainNavigator", | |
| "publication_eligible": False, | |
| "honesty": st.get("honesty"), | |
| } | |
| def readyz() -> dict[str, Any]: | |
| st = rag_status() | |
| return { | |
| "ready": bool(st.get("built")), | |
| "lambda": "CONJECTURE_1", | |
| "kind": "SOFTWARE", | |
| "chunk_count": st.get("chunk_count", 0), | |
| } | |
| def index_stats() -> dict[str, Any]: | |
| return index().stats() | |
| def status_route() -> dict[str, Any]: | |
| return rag_status() | |
| def manifest() -> dict[str, Any]: | |
| return { | |
| "schema": "szl.second-brain.manifest/v1", | |
| "product": "SZL Second Brain", | |
| "space": "https://huggingface.co/spaces/SZLHOLDINGS/second-brain", | |
| "github": "https://github.com/szl-holdings/szl-second-brain", | |
| "sku": "SZLHOLDINGS/brain-navigator-r2", | |
| "kind": "SOFTWARE", | |
| "canvas": "0-CDN", | |
| "lambda": "Conjecture 1", | |
| "contentAccess": "HANDLES_ONLY", | |
| "brainBinding": "NOT_RESOLVED", | |
| "publication_eligible": False, | |
| "routes": ["/retrieve", "/plan", "/api/v1/retrieve", "/api/v1/plan"], | |
| } | |
| def retrieve_get( | |
| q: str = Query("", alias="q", max_length=2000), | |
| k: int = Query(6, ge=1, le=12), | |
| ) -> JSONResponse: | |
| return JSONResponse(_retrieve_payload(q, k)) | |
| async def retrieve_post(request: Request) -> JSONResponse: | |
| try: | |
| body = await request.json() | |
| except Exception: | |
| body = {} | |
| q = _clip(body.get("query") or body.get("q") or "") | |
| k = int(body.get("k") or 6) | |
| if not q: | |
| return JSONResponse({"error": "query is required", "label": "UNAVAILABLE"}, status_code=400) | |
| return JSONResponse(_retrieve_payload(q, max(1, min(k, 12)))) | |
| def plan_get( | |
| q: str = Query("", alias="q", max_length=2000), | |
| k: int = Query(6, ge=1, le=12), | |
| ) -> JSONResponse: | |
| planned, _hit = _plan_payload(q, k) | |
| return JSONResponse(planned) | |
| async def plan_post(request: Request) -> JSONResponse: | |
| try: | |
| body = await request.json() | |
| except Exception: | |
| body = {} | |
| q = _clip(body.get("query") or body.get("q") or "") | |
| k = int(body.get("k") or 6) | |
| if not q: | |
| return JSONResponse({"error": "query is required", "label": "UNAVAILABLE"}, status_code=400) | |
| handles = body.get("handles") | |
| if handles is not None and not isinstance(handles, list): | |
| handles = None | |
| planned, hit = _plan_payload(q, max(1, min(k, 12)), handles) | |
| return JSONResponse( | |
| { | |
| "schema": "szl.second-brain.plan/v1", | |
| "retrieve": hit, | |
| "plan": planned, | |
| "graph": _graph(q, hit, planned), | |
| } | |
| ) | |
| def navigator_route( | |
| q: str = Query("", alias="q", max_length=2000), | |
| k: int = Query(6, ge=1, le=12), | |
| ) -> JSONResponse: | |
| return JSONResponse(navigator_context(q, k=k)) | |
| def receipt() -> JSONResponse: | |
| if not RECEIPT.is_file(): | |
| return JSONResponse( | |
| {"label": "UNAVAILABLE", "reason": "training_receipt.json not present"}, | |
| status_code=200, | |
| ) | |
| return JSONResponse(json.loads(RECEIPT.read_text(encoding="utf-8"))) | |
| def eval_report() -> JSONResponse: | |
| if not EVAL.is_file(): | |
| return JSONResponse( | |
| {"label": "UNAVAILABLE", "reason": "eval_report.json not present"}, | |
| status_code=200, | |
| ) | |
| return JSONResponse(json.loads(EVAL.read_text(encoding="utf-8"))) | |
| if __name__ == "__main__": | |
| import uvicorn | |
| port = int(os.environ.get("PORT", os.environ.get("SECOND_BRAIN_PORT", "8101"))) | |
| uvicorn.run("app:app", host="0.0.0.0", port=port, reload=False) | |