- Deterministic scoring.py (quant 60 / qual 40 / flags -15, profitability heaviest) - Per-company JSON ledger with forecast-target chaining deck N-1 -> N - Single-shot sandbox agent with guided-JSON fallback ladder (no tool loop) - Portfolio dashboard with sparklines, KPI hit rates, BDEF category bars - 48 unit tests green; endpoints smoke-tested; npm check+build green Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
239 lines
11 KiB
Python
239 lines
11 KiB
Python
"""Launch the grading panel (and the stage-1 extractor) on the head Spark.
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Each role agent is a ONE-SHOT, hardened, read-only container running
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sandbox/grader_agent.py: it reads the deck text mounted at /docs, runs its model
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(through the on-Spark proxy) under its persona + the BDEF rubric, writes exactly
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one output file to /out, and exits. There is no tool loop and no shared writable
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workspace — agents cannot alter the deck text or each other's reports.
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Per-deck mount contract (remote paths under {remoteWorkDir}/jobs/<job>/<company>/<deck>):
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docs/ -> /docs:ro
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BDEF.md -> /BDEF.md:ro
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schemas/<role>.schema.json -> /schema.json:ro (extractor|grades)
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personas/<rid>.md -> /persona/PERSONA.md:ro
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out/ -> /out:rw
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Sandbox (per the operator's confidentiality requirement):
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* non-root, --cap-drop ALL, --security-opt no-new-privileges
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* read-only rootfs + small writable tmpfs (/tmp, /home/rev)
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* NO docker socket, cpu/mem/pid caps
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* attached to the per-job network — in airgapped mode that network is
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--internal, so the agent can reach ONLY the model proxy, never the internet
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Agents hold no credentials beyond a dummy proxy key.
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"""
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from __future__ import annotations
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import os
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import re
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import shlex
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import shutil
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import bm_config
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import prompts
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import serving
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import spark_client as sc
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ORCH_DIR = os.path.dirname(os.path.abspath(__file__))
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SANDBOX_SRC = os.path.join(ORCH_DIR, "sandbox")
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SCHEMAS_SRC = os.path.join(ORCH_DIR, "schemas")
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SCHEMA_FILES = ("extraction.schema.json", "grades.schema.json")
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HARDEN = (
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"--user 1000:1000 --security-opt no-new-privileges --cap-drop ALL "
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"--read-only --tmpfs /tmp:size=256m --tmpfs /home/rev:size=128m "
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"--pids-limit 256 --memory 6g --cpus 4"
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)
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# ------------------------------------------------------------------ image
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def ensure_grader_image(cfg: dict, log) -> None:
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"""Build the grader image on the head Spark if missing (aarch64, native)."""
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head = sc.head(cfg)
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image = cfg["graderImage"]
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q = shlex.quote
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r = sc.run(head, f"docker image inspect {q(image)} >/dev/null 2>&1 && echo PRESENT || echo MISSING",
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timeout=30)
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if "PRESENT" in (r.stdout or ""):
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log(f"[graders] image {image} already present on {head.host}")
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return
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if not os.path.isdir(SANDBOX_SRC):
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raise RuntimeError(f"grader build context missing at {SANDBOX_SRC} (image not baked in?)")
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remote_dir = f"{cfg['remoteWorkDir']}/sandbox-build"
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log(f"[graders] building grader image {image} on {head.host} (first run; a few minutes)…")
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push = sc.push_dir(head, SANDBOX_SRC, remote_dir)
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if push.returncode != 0:
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raise RuntimeError(f"rsync grader build context to {head.host} failed: {push.stderr}")
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b = sc.run(head, f"cd {q(remote_dir)} && IMAGE={q(image)} bash build.sh", timeout=1800)
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if b.returncode != 0:
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raise RuntimeError(f"grader image build failed on {head.host}: {b.stderr or b.stdout}")
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log(f"[graders] grader image built: {image}")
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# ------------------------------------------------------------------ roster
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def slug(name: str) -> str:
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s = re.sub(r"[^A-Za-z0-9]+", "-", (name or "").strip().lower()).strip("-")
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return s or "grader"
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def roster(cfg: dict) -> list[dict]:
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"""Grader roster from config. Each: {rid, name, model alias, persona, temperature}."""
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out: list[dict] = []
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seen: dict[str, int] = {}
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for w in (cfg.get("graders") or []):
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name = (w.get("name") or "grader").strip()
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rid = slug(name)
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if rid in seen:
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seen[rid] += 1
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rid = f"{rid}-{seen[rid]}"
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else:
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seen[rid] = 1
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out.append({
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"rid": rid, "name": name, "model": (w.get("model") or "").strip(),
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"persona": (w.get("persona") or "").strip(),
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"temperature": w.get("temperature"),
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})
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return out
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# ------------------------------------------------------------------ staging
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def stage_deck_files(cfg: dict, local_deck_dir: str, panel: list[dict]) -> None:
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"""Write everything the role containers need into the LOCAL per-deck staging
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dir (jobs.py rsyncs the whole dir to the Spark afterwards): the BDEF rubric,
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both schemas, and one persona file per role agent (extractor + each grader +
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adjudicator). Also pre-creates out/ and adjudicator-out/ so the rsync creates
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them remotely with the SSH user's ownership (uid 1000 = the container user)."""
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for sub in ("personas", "schemas", "out", "adjudicator-out"):
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os.makedirs(os.path.join(local_deck_dir, sub), exist_ok=True)
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with open(os.path.join(local_deck_dir, "BDEF.md"), "w") as f:
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f.write(bm_config.bdef_text(cfg))
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for fn in SCHEMA_FILES:
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shutil.copyfile(os.path.join(SCHEMAS_SRC, fn),
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os.path.join(local_deck_dir, "schemas", fn))
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def persona(rid: str, text: str) -> None:
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with open(os.path.join(local_deck_dir, "personas", f"{rid}.md"), "w") as f:
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f.write((text or "").strip() + "\n")
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persona("extractor", prompts.extractor_persona())
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for r in panel:
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persona(r["rid"], r["persona"] or prompts.default_grader_persona(r["name"]))
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persona("adjudicator",
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(cfg.get("adjudicatorPersona") or "").strip() or prompts.adjudicator_persona())
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# ------------------------------------------------------------------ containers
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def container_suffix(deckdir: str) -> str:
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"""Short, docker-safe name suffix from the deck dir (…/<company>/<deck_id>)."""
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parts = deckdir.rstrip("/").split("/")
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tail = "-".join(parts[-2:]) if len(parts) >= 2 else parts[-1]
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return slug(tail)[:48] or "deck"
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def base_env(cfg: dict, rid: str, name: str, role: str, model: str, temperature) -> str:
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"""The env-var block shared by every role container (also used by adjudicator.py)."""
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q = shlex.quote
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base = serving.reviewer_proxy_base(cfg)
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env = (
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f"-e BM_ROLE={q(role)} -e BM_GRADER_ID={q(rid)} -e BM_GRADER_NAME={q(name)} "
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f"-e BM_MODEL={q(model)} -e BM_LLM_BASE={q(base)} -e BM_LLM_KEY=sk-local "
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f"-e BM_MAX_MODEL_LEN={q(str(int(cfg.get('maxModelLen', 32768))))} "
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f"-e HOME=/home/rev "
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)
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if role == "extractor":
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env += "-e BM_TEMPERATURE=0.0 "
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elif temperature is not None:
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env += f"-e BM_TEMPERATURE={q(str(temperature))} "
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return env
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def _container(cfg: dict, deckdir: str, rid: str, name: str, model: str,
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temperature, role: str) -> tuple[str, str]:
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"""(container name, docker run command) for one extractor/grader container."""
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q = shlex.quote
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net = serving.net_name(cfg)
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schema_file = "extraction.schema.json" if role == "extractor" else "grades.schema.json"
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env = base_env(cfg, rid, name, role, model, temperature)
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mounts = (
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f"-v {q(deckdir)}/docs:/docs:ro "
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f"-v {q(deckdir)}/BDEF.md:/BDEF.md:ro "
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f"-v {q(deckdir)}/schemas/{schema_file}:/schema.json:ro "
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f"-v {q(deckdir)}/personas/{rid}.md:/persona/PERSONA.md:ro "
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f"-v {q(deckdir)}/out:/out "
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)
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cname = f"bm-grader-{rid}-{container_suffix(deckdir)}"
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cmd = (
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f"docker rm -f {cname} >/dev/null 2>&1; "
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f"docker run -d --name {cname} --network {q(net)} {HARDEN} {env} {mounts} "
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f"{q(cfg['graderImage'])}"
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)
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return cname, cmd
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def _wait_for(cfg: dict, cname: str, out_file: str, log, wait_timeout: int) -> tuple[str, bool]:
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"""docker-wait a launched container, check its output file, remove it."""
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head = sc.head(cfg)
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q = shlex.quote
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w = sc.run(head, f"docker wait {cname}", timeout=wait_timeout)
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code = (w.stdout or "").strip()
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chk = sc.run(head, f"test -s {q(out_file)} && echo OK || echo MISSING", timeout=30)
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wrote = "OK" in (chk.stdout or "")
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sc.run(head, f"docker rm -f {cname} 2>/dev/null; true", timeout=30)
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return code, wrote
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# ------------------------------------------------------------------ runs
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def run_extractor(cfg: dict, remote_deck_dir: str, model_alias: str, log,
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wait_timeout: int = 1800) -> dict:
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"""Launch the stage-1 extractor for one deck and wait for out/extraction.json."""
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head = sc.head(cfg)
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cname, cmd = _container(cfg, remote_deck_dir, "extractor", "extractor",
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model_alias, None, role="extractor")
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r = sc.run(head, cmd, timeout=120)
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if r.returncode != 0:
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log(f"[graders] extractor launch FAILED: {r.stderr or r.stdout}")
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return {"rid": "extractor", "model": model_alias, "ok": False,
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"error": (r.stderr or r.stdout)[:300], "report": False}
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log(f"[graders] up: extractor -> {model_alias}")
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code, wrote = _wait_for(cfg, cname, f"{remote_deck_dir}/out/extraction.json",
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log, wait_timeout)
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log(f"[graders] extractor exited (code={code or '?'}), "
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f"extraction.json={'written' if wrote else 'MISSING'}")
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return {"rid": "extractor", "model": model_alias, "ok": True, "error": "",
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"exit": code, "report": wrote}
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def run_wave_graders(cfg: dict, remote_deck_dir: str, wave_panel: list[dict], log,
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wait_timeout: int = 1800) -> list[dict]:
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"""Launch every grader in `wave_panel` (already filtered to this wave's
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models) against one deck, wait for them, and report status. Grade JSONs land
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in <remote_deck_dir>/out/<rid>.json."""
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head = sc.head(cfg)
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launched = []
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for r in wave_panel:
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cname, cmd = _container(cfg, remote_deck_dir, r["rid"], r["name"], r["model"],
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r.get("temperature"), role="grader")
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res = sc.run(head, cmd, timeout=120)
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if res.returncode != 0:
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log(f"[graders] launch {r['rid']} FAILED: {res.stderr or res.stdout}")
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launched.append({**r, "ok": False, "error": (res.stderr or res.stdout)[:300],
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"cname": cname})
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continue
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log(f"[graders] up: {r['rid']} -> {r['model']}")
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launched.append({**r, "ok": True, "error": "", "cname": cname})
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# Wait for each launched container to exit (they run in parallel; waiting
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# sequentially still finishes when the slowest does).
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results = []
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for r in launched:
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if not r["ok"]:
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results.append({k: v for k, v in r.items() if k != "cname"})
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continue
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code, wrote = _wait_for(cfg, r["cname"], f"{remote_deck_dir}/out/{r['rid']}.json",
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log, wait_timeout)
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log(f"[graders] {r['rid']} exited (code={code or '?'}), "
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f"grades={'written' if wrote else 'MISSING'}")
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results.append({k: v for k, v in r.items() if k != "cname"}
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| {"exit": code, "report": wrote})
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return results
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