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triage/372
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claude/iss
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3a9b172a1d |
@@ -26,7 +26,7 @@ from cron.jobs import (
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trigger_job,
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JOBS_FILE,
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)
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from cron.scheduler import tick
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from cron.scheduler import tick, ModelContextError, CRON_MIN_CONTEXT_TOKENS
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__all__ = [
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"create_job",
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@@ -39,4 +39,6 @@ __all__ = [
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"trigger_job",
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"tick",
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"JOBS_FILE",
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]
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"ModelContextError",
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"CRON_MIN_CONTEXT_TOKENS",
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]
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@@ -545,41 +545,7 @@ def _run_job_script(script_path: str) -> tuple[bool, str]:
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return False, f"Script execution failed: {exc}"
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# Runtime classification & provider mismatch detection
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_PROVIDER_ALIASES: dict[str, set[str]] = {
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"ollama": {"ollama", "local ollama", "localhost:11434"},
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"anthropic": {"anthropic", "claude", "sonnet", "opus", "haiku"},
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"nous": {"nous", "mimo", "nousresearch"},
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"openrouter": {"openrouter"},
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"kimi": {"kimi", "moonshot"},
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"openai": {"openai", "gpt", "codex"},
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"gemini": {"gemini", "google"},
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}
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_CLOUD_PREFIXES = frozenset({"nous","openrouter","anthropic","openai","zai","kimi","gemini","minimax"})
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def _classify_runtime(provider: str, model: str) -> str:
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p = (provider or "").strip().lower()
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m = (model or "").strip().lower()
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if p and p not in ("ollama", "local"): return "cloud"
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if "/" in m and m.split("/")[0] in _CLOUD_PREFIXES: return "cloud"
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if p in ("ollama", "local") or (not p and m): return "local"
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return "unknown"
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def _detect_provider_mismatch(prompt: str, active_provider: str) -> Optional[str]:
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if not active_provider or not prompt: return None
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pl, al = prompt.lower(), active_provider.lower().strip()
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ag = None
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for g, a in _PROVIDER_ALIASES.items():
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if al in a or al.startswith(g): ag = g; break
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if not ag: return None
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for g, a in _PROVIDER_ALIASES.items():
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if g == ag: continue
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for alias in a:
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if alias in pl: return g
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return None
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def _build_job_prompt(job: dict, *, runtime_model: str = "", runtime_provider: str = "") -> str:
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def _build_job_prompt(job: dict) -> str:
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"""Build the effective prompt for a cron job, optionally loading one or more skills first."""
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prompt = job.get("prompt", "")
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skills = job.get("skills")
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@@ -610,16 +576,6 @@ def _build_job_prompt(job: dict, *, runtime_model: str = "", runtime_provider: s
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f"{prompt}"
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)
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_runtime_block = ""
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if runtime_model or runtime_provider:
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_kind = _classify_runtime(runtime_provider, runtime_model)
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_notes = []
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if runtime_model: _notes.append(f"MODEL: {runtime_model}")
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if runtime_provider: _notes.append(f"PROVIDER: {runtime_provider}")
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if _kind == "local": _notes.append("RUNTIME: local — you have access to local machine, Ollama, SSH keys")
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elif _kind == "cloud": _notes.append("RUNTIME: cloud API — you do NOT have local access. Do NOT assume SSH or localhost.")
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if _notes: _runtime_block = "[SYSTEM: RUNTIME CONTEXT — " + "; ".join(_notes) + ".]\\n\\n"
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# Always prepend cron execution guidance so the agent knows how
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# delivery works and can suppress delivery when appropriate.
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cron_hint = (
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@@ -641,7 +597,7 @@ def _build_job_prompt(job: dict, *, runtime_model: str = "", runtime_provider: s
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"\"[SCRIPT_FAILED]: forge.alexanderwhitestone.com timed out\" "
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"\"[SCRIPT_FAILED]: script exited with code 1\".]\\n\\n"
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)
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prompt = _runtime_block + cron_hint + prompt
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prompt = cron_hint + prompt
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if skills is None:
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legacy = job.get("skill")
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skills = [legacy] if legacy else []
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@@ -711,18 +667,7 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
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job_id = job["id"]
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job_name = job["name"]
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_em = job.get("model") or os.getenv("HERMES_MODEL") or ""
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_ep = os.getenv("HERMES_PROVIDER", "")
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if not _em:
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try:
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import yaml as _y; _cp = str(_hermes_home / "config.yaml")
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if os.path.exists(_cp):
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with open(_cp) as _f: _ce = _y.safe_load(_f) or {}
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_mc = _ce.get("model", {})
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_em = _mc if isinstance(_mc, str) else (_mc.get("default","") if isinstance(_mc, dict) else "")
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except: pass
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if not _ep and "/" in _em: _ep = _em.split("/")[0]
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prompt = _build_job_prompt(job, runtime_model=_em, runtime_provider=_ep)
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prompt = _build_job_prompt(job)
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origin = _resolve_origin(job)
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_cron_session_id = f"cron_{job_id}_{_hermes_now().strftime('%Y%m%d_%H%M%S')}"
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@@ -834,10 +779,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
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message = format_runtime_provider_error(exc)
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raise RuntimeError(message) from exc
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_rp = runtime.get("provider", "") or ""
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_mp = _detect_provider_mismatch(job.get("prompt",""), _rp)
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if _mp: logger.warning("Job '%s' refs '%s' but provider is '%s'", job_name, _mp, _rp)
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from agent.smart_model_routing import resolve_turn_route
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turn_route = resolve_turn_route(
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prompt,
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@@ -18,9 +18,9 @@ from typing import Any, Dict, Optional
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def normalize_job(job: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Normalize a job dict to ensure consistent model field types.
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Normalize a job dict to ensure consistent model field types and aligned skill fields.
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Before normalization:
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Model normalization:
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- If model AND provider: model = raw string, provider = raw string (inconsistent)
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- If only model: model = raw string
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- If only provider: provider = raw string at top level
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@@ -30,37 +30,61 @@ def normalize_job(job: Dict[str, Any]) -> Dict[str, Any]:
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- If provider exists: model = {"provider": "yyy"}
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- If both exist: model = {"model": "xxx", "provider": "yyy"}
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- If neither: model = None
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Skill normalization:
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- Aligns legacy `skill` (single string) with `skills` (list), setting skill = skills[0]
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"""
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job = dict(job) # Create a copy to avoid modifying the original
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# --- skill / skills normalization ---
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raw_skill = job.get("skill")
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raw_skills = job.get("skills")
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if raw_skills is None:
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skill_items = [raw_skill] if raw_skill else []
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elif isinstance(raw_skills, str):
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skill_items = [raw_skills]
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else:
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skill_items = list(raw_skills)
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normalized_skills: list = []
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for item in skill_items:
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text = str(item or "").strip()
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if text and text not in normalized_skills:
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normalized_skills.append(text)
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job["skills"] = normalized_skills
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job["skill"] = normalized_skills[0] if normalized_skills else None
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# --- model / provider normalization ---
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model = job.get("model")
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provider = job.get("provider")
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# Skip if already normalized (model is a dict)
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if isinstance(model, dict):
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return job
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# Build normalized model dict
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model_dict = {}
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if model is not None and isinstance(model, str):
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model_dict["model"] = model.strip()
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if provider is not None and isinstance(provider, str):
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model_dict["provider"] = provider.strip()
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# Set model field
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if model_dict:
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job["model"] = model_dict
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else:
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job["model"] = None
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# Remove top-level provider field if it was moved into model dict
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if provider is not None and "provider" in model_dict:
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# Keep provider field for backward compatibility but mark it as deprecated
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# This allows existing code that reads job["provider"] to continue working
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pass
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return job
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@@ -90,20 +114,26 @@ def normalize_jobs_file(jobs_file: Path, dry_run: bool = False) -> int:
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for i, job in enumerate(jobs):
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original_model = job.get("model")
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original_provider = job.get("provider")
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original_skill = job.get("skill")
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original_skills = job.get("skills")
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normalized_job = normalize_job(job)
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# Check if anything changed
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if (normalized_job.get("model") != original_model or
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normalized_job.get("provider") != original_provider):
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normalized_job.get("provider") != original_provider or
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normalized_job.get("skill") != original_skill or
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normalized_job.get("skills") != original_skills):
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jobs[i] = normalized_job
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modified_count += 1
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job_id = job.get("id", "?")
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job_name = job.get("name", "(unnamed)")
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print(f"Normalized job {job_id} ({job_name}):")
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print(f" model: {original_model!r} -> {normalized_job.get('model')!r}")
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print(f" provider: {original_provider!r} -> {normalized_job.get('provider')!r}")
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print(f" skill: {original_skill!r} -> {normalized_job.get('skill')!r}")
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print(f" skills: {original_skills!r} -> {normalized_job.get('skills')!r}")
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if modified_count == 0:
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print("All jobs already have consistent model field types.")
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@@ -1,33 +0,0 @@
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"""Tests for #372 runtime-aware cron prompts."""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
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def _imp():
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import importlib.util
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s = importlib.util.spec_from_file_location("cs", str(Path(__file__).resolve().parent.parent / "cron" / "scheduler.py"))
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m = importlib.util.module_from_spec(s)
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try: s.loader.exec_module(m)
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except: pass
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return m
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_mod = _imp()
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class TestRuntime:
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def test_local(self): assert _mod._classify_runtime("ollama", "qwen") == "local"
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def test_cloud(self): assert _mod._classify_runtime("nous", "mimo") == "cloud"
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class TestMismatch:
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def test_detected(self): assert _mod._detect_provider_mismatch("Check Ollama", "nous") == "ollama"
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def test_none(self): assert _mod._detect_provider_mismatch("Check Nous", "nous") is None
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class TestPrompt:
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def test_cloud(self):
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p = _mod._build_job_prompt({"prompt":"x"}, runtime_model="nous/m", runtime_provider="nous")
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assert "cloud" in p.lower()
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def test_local(self):
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p = _mod._build_job_prompt({"prompt":"x"}, runtime_model="qwen", runtime_provider="ollama")
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assert "local" in p.lower()
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if __name__ == "__main__":
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import pytest; pytest.main([__file__, "-v"])
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