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from __future__ import annotations
import json
import os
import re
from datetime import datetime, timezone
from typing import Any
try:
from .asset_store import RunAssetStore
except ImportError: # Standalone unit tests import this module without a package.
from asset_store import RunAssetStore
try:
from .contracts_v05 import (
AUDIO_POLICY_VERSION,
CONTINUATION_POLICIES,
TRANSITION_POLICY_VERSION,
TRANSITION_PRESETS,
audio_policy,
migrate_continuation_mode,
migrate_legacy_audio_mode,
transition_policy,
)
except ImportError: # Standalone unit tests import this module without a package.
from contracts_v05 import (
AUDIO_POLICY_VERSION,
CONTINUATION_POLICIES,
TRANSITION_POLICY_VERSION,
TRANSITION_PRESETS,
audio_policy,
migrate_continuation_mode,
migrate_legacy_audio_mode,
transition_policy,
)
PLAN_NODE_TYPE = "MiniMaxH3ChainPlan"
MODERN_PLAN_NODE_TYPE = "MiniMaxH3ChainPlanModern"
PLAN_NODE_TYPES = (PLAN_NODE_TYPE, MODERN_PLAN_NODE_TYPE)
PLAN_WIDGET_NAMES = (
"plan_json",
"run_name",
"generation_fingerprint",
"width",
"height",
"context_length",
"encode_mode",
"anchor_mode",
"crop",
"audio_mode",
"audio_context_length",
"default_duration_seconds",
"default_steps",
"base_seed",
"segment_crf",
"video_blend_frames",
"continuation_mode",
)
MODERN_PLAN_WIDGET_NAMES = (
"plan_json",
"run_name",
"generation_fingerprint",
"width",
"height",
"encode_mode",
"crop",
"default_duration_seconds",
"default_steps",
"base_seed",
"segment_crf",
"video_blend_frames",
)
H3_CONTEXT_LENGTHS = (
1, 5, 22, 39, 56, 73, 90, 107, 124,
141, 158, 175, 192, 209, 226, 243,
)
CONTINUATION_MODES = tuple(CONTINUATION_POLICIES)
SCENE_LORA_ROUTES = (
"base", *(chr(ord("a") + offset) for offset in range(26)))
def _safe_name(value: Any, fallback: str = "") -> str:
text = re.sub(r"[^A-Za-z0-9._-]+", "_", str(value or "").strip())
text = text.strip("._-")
return (text or fallback)[:96]
def _read_json(path: str) -> Any:
with open(path, "r", encoding="utf-8") as handle:
return json.load(handle)
def _json_string(value: Any) -> str | None:
if isinstance(value, str):
try:
parsed = json.loads(value)
except json.JSONDecodeError:
return None
if not isinstance(parsed, (dict, list)):
return None
return json.dumps(parsed, ensure_ascii=False, indent=2)
if isinstance(value, (dict, list)):
return json.dumps(value, ensure_ascii=False, indent=2)
return None
def _restorable_widget_value(name: str, value: Any) -> Any:
if name == "plan_json":
return _json_string(value)
if name == "base_seed" and isinstance(value, int):
# aiohttp JSON would otherwise turn uint64 values above 2^53 into an
# inexact JavaScript Number before the Plan widget sees them.
return str(value)
if isinstance(value, (str, int, float, bool)) or value is None:
return value
# API-prompt links are lists such as [node_id, output_slot]. Restoring a
# widget must never replace or invent graph connections.
return None
def _api_prompt_inputs(document: Any, run_name: str) -> dict[str, Any]:
if not isinstance(document, dict):
return {}
candidates = []
exact = []
for node in document.values():
if (not isinstance(node, dict) or
node.get("class_type") not in PLAN_NODE_TYPES):
continue
inputs = node.get("inputs")
if not isinstance(inputs, dict):
continue
candidates.append(inputs)
if _safe_name(inputs.get("run_name")) == run_name:
exact.append(inputs)
selected = exact[0] if exact else (candidates[0] if len(candidates) == 1 else None)
if selected is None:
return {}
restored = {}
for name in dict.fromkeys(PLAN_WIDGET_NAMES + MODERN_PLAN_WIDGET_NAMES):
if name not in selected:
continue
value = _restorable_widget_value(name, selected[name])
if value is not None:
restored[name] = value
return restored
def _workflow_inputs(document: Any, run_name: str) -> dict[str, Any]:
if not isinstance(document, dict) or not isinstance(document.get("nodes"), list):
return {}
candidates = []
exact = []
for node in document["nodes"]:
if (not isinstance(node, dict) or
node.get("type") not in PLAN_NODE_TYPES):
continue
widgets = node.get("widgets_values")
if not isinstance(widgets, list):
continue
candidate = (node.get("type"), widgets)
candidates.append(candidate)
if len(widgets) > 1 and _safe_name(widgets[1]) == run_name:
exact.append(candidate)
selected = exact[0] if exact else (candidates[0] if len(candidates) == 1 else None)
if selected is None:
return {}
plan_type, selected = selected
if plan_type == MODERN_PLAN_NODE_TYPE:
if (len(selected) < len(MODERN_PLAN_WIDGET_NAMES)
or selected[5] not in ("video", "frames")
or selected[6] not in ("disabled", "center")):
return {}
restored = {}
for name, value in zip(MODERN_PLAN_WIDGET_NAMES, selected):
value = _restorable_widget_value(name, value)
if value is not None:
restored[name] = value
return restored
if len(selected) < 15:
return {}
# widgets_values is positional and old workflows can predate fields added
# near the front of the Plan. Refuse a shifted layout rather than applying
# plausible-looking values to the wrong widgets; plan.json still restores
# the effective scene configuration.
if (selected[5] not in H3_CONTEXT_LENGTHS
or selected[6] not in ("video", "frames")
or selected[7] not in ("head", "before")
or selected[8] not in ("disabled", "center")
or selected[9] not in (
"source_track", "generated_audio", "source_plus_timeline")):
return {}
if len(selected) > 16 and selected[16] not in CONTINUATION_MODES:
return {}
restored = {}
for name, value in zip(PLAN_WIDGET_NAMES, selected):
value = _restorable_widget_value(name, value)
if value is not None:
restored[name] = value
# 0.3 workflows end at segment_crf. New widgets are appended, so old
# positional values remain exact and receive their compatibility defaults.
restored.setdefault("video_blend_frames", 0)
restored.setdefault("continuation_mode", "guide")
return restored
def _editor_plan(archive: dict[str, Any]) -> dict[str, Any]:
existing = archive.get("editor_plan")
if isinstance(existing, dict) and isinstance(existing.get("shots"), list):
return existing
shots = []
for offset, shot in enumerate(archive.get("shots") or []):
if not isinstance(shot, dict):
continue
value = {
"id": shot.get("id", "clip_%04d" % (offset + 1)),
"prompt": shot.get("scene_prompt", shot.get("prompt", "")),
}
if shot.get("raw_frames") is not None:
value["length"] = int(shot["raw_frames"])
if shot.get("steps") is not None:
value["steps"] = int(shot["steps"])
if shot.get("seed") is not None:
value["seed"] = str(shot["seed"])
if shot.get("continuation_mode") in CONTINUATION_MODES:
value["continuation_mode"] = shot["continuation_mode"]
if (shot.get("context_length") == 0
or shot.get("context_length") in H3_CONTEXT_LENGTHS):
value["context_length"] = int(shot["context_length"])
audio_context = shot.get("audio_context_length")
if (isinstance(audio_context, int) and not isinstance(audio_context, bool)
and 0 <= audio_context <= 240):
value["audio_context_length"] = audio_context
lora_route = str(shot.get("lora_route") or "").strip().lower()
if lora_route in SCENE_LORA_ROUTES and lora_route != "base":
value["lora_route"] = lora_route
shots.append(value)
return {
"prompt_prefix": archive.get("prompt_prefix", ""),
"shots": shots,
}
def _archive_inputs(archive: Any, run_name: str) -> dict[str, Any]:
if not isinstance(archive, dict):
return {}
editor = _editor_plan(archive)
if not editor.get("shots"):
return {}
restored: dict[str, Any] = {
"plan_json": json.dumps(editor, ensure_ascii=False, indent=2),
"run_name": run_name,
}
compatibility = archive.get("compatibility")
if isinstance(compatibility, dict):
for name in (
"generation_fingerprint", "width", "height", "context_length",
"encode_mode", "anchor_mode", "crop", "audio_mode",
"audio_context_length", "segment_crf", "video_blend_frames",
"continuation_mode",
):
if name in compatibility:
restored[name] = compatibility[name]
if "segment_crf" in archive:
restored["segment_crf"] = archive["segment_crf"]
restored.setdefault("video_blend_frames", 0)
restored.setdefault("continuation_mode", "guide")
return restored
def archive_policy_inputs(archive: Any) -> dict[str, dict[str, Any]]:
"""Return exact widget values for connected 0.5 policy nodes.
Plan archives store resolved typed policies in compatibility metadata. A
restore must project those records back onto the upstream policy widgets;
writing only the Plan's hidden 0.4 fallbacks has no effect while a typed
policy input is connected.
"""
if not isinstance(archive, dict):
return {}
compatibility = archive.get("compatibility")
if not isinstance(compatibility, dict):
return {}
restored: dict[str, dict[str, Any]] = {}
saved_audio = compatibility.get("audio_policy")
try:
if (isinstance(saved_audio, dict) and
saved_audio.get("version") == AUDIO_POLICY_VERSION):
resolved_audio = audio_policy(
saved_audio.get("final_audio"),
saved_audio.get("source_reference"),
saved_audio.get("generated_continuity"),
saved_audio.get("source_audio_target", "off"))
else:
resolved_audio = migrate_legacy_audio_mode(
compatibility.get("audio_mode", "generated_audio"))
restored["audio_policy"] = {
"final_audio": resolved_audio["final_audio"],
"source_reference": resolved_audio["source_reference"],
"generated_continuity": resolved_audio["generated_continuity"],
}
if resolved_audio.get("source_audio_target") == "locked":
restored["audio_policy"]["source_audio_target"] = "locked"
except (TypeError, ValueError):
# A malformed optional policy must not prevent prompt/Plan recovery.
pass
saved_transition = compatibility.get("transition_policy")
try:
if (isinstance(saved_transition, dict) and
saved_transition.get("version") == TRANSITION_POLICY_VERSION and
saved_transition.get("preset") in TRANSITION_PRESETS):
resolved_transition = transition_policy(
saved_transition.get("preset"),
expert_override=bool(saved_transition.get(
"expert_override", False)),
continuation_mode=saved_transition.get("continuation_mode"),
context_length=saved_transition.get("context_length"))
else:
mode = migrate_continuation_mode(
compatibility.get("continuation_mode", "guide"))
context = int(compatibility.get("context_length", 22))
matching = next((
name for name, preset in TRANSITION_PRESETS.items()
if preset["continuation_mode"] == mode and
int(preset["context_length"]) == context
), None)
resolved_transition = transition_policy(
matching or "guide", expert_override=matching is None,
continuation_mode=mode, context_length=context)
restored["transition_policy"] = {
"preset": resolved_transition["preset"],
"expert_override": bool(
resolved_transition.get("expert_override", False)),
"expert_continuation_mode": resolved_transition[
"continuation_mode"],
"expert_context_length": int(
resolved_transition["context_length"]),
}
except (TypeError, ValueError):
pass
return restored
def _scene_count_from_plan(path: str) -> int | None:
if not os.path.isfile(path):
return None
try:
archive = _read_json(path)
except (OSError, json.JSONDecodeError):
return None
if not isinstance(archive, dict):
return None
editor = archive.get("editor_plan")
shots = editor.get("shots") if isinstance(editor, dict) else archive.get("shots")
return len(shots) if isinstance(shots, list) else None
def _iso_mtime(path: str) -> str:
timestamp = os.path.getmtime(path)
return datetime.fromtimestamp(timestamp, timezone.utc).isoformat(
timespec="seconds").replace("+00:00", "Z")
class RunArchiveManager:
def __init__(self, output_root: str, input_root: str | None = None):
self.output_root = os.path.realpath(os.path.abspath(output_root))
self.chains_root = os.path.join(self.output_root, "h3_chains")
self.assets = RunAssetStore(self.output_root, input_root)
def _run_dir(self, run_name: Any) -> tuple[str, str]:
run = _safe_name(run_name)
if not run:
raise ValueError("A non-empty H3 chain run_name is required.")
path = os.path.realpath(os.path.join(self.chains_root, run))
root = os.path.realpath(self.output_root)
if os.path.commonpath([root, path]) != root:
raise ValueError("H3 run path escapes the output directory.")
return path, run
def list_runs(self) -> list[dict[str, Any]]:
if not os.path.isdir(self.chains_root):
return []
runs = []
for entry in os.scandir(self.chains_root):
if not entry.is_dir(follow_symlinks=False):
continue
run_name = _safe_name(entry.name)
if not run_name or run_name != entry.name:
continue
directory = entry.path
plan_path = os.path.join(directory, "plan.json")
api_path = os.path.join(directory, "api_prompt.json")
workflow_path = os.path.join(directory, "workflow.json")
archive_paths = [path for path in (plan_path, api_path, workflow_path)
if os.path.isfile(path)]
checkpoint_dir = os.path.join(directory, "checkpoints")
asset_manifest = os.path.join(directory, "references", "manifest.json")
checkpoints = 0
if os.path.isdir(checkpoint_dir):
checkpoints = sum(
1 for name in os.listdir(checkpoint_dir)
if re.fullmatch(r"clip_\d{4}\.json", name))
modified_paths = [directory]
if os.path.isdir(checkpoint_dir):
modified_paths.append(checkpoint_dir)
if os.path.isfile(asset_manifest):
modified_paths.append(asset_manifest)
modified_paths.extend(archive_paths)
newest = max(modified_paths, key=os.path.getmtime)
try:
asset_summary = self.assets.summary(run_name)
except (OSError, ValueError, json.JSONDecodeError):
asset_summary = {"asset_count": 0, "asset_bytes": 0}
runs.append({
"run_name": run_name,
"modified_at": _iso_mtime(newest),
"scene_count": _scene_count_from_plan(plan_path),
"checkpoint_count": checkpoints,
"restorable": bool(archive_paths),
"archive_bytes": (
sum(os.path.getsize(path) for path in archive_paths)
+ int(asset_summary.get("asset_bytes") or 0)),
**asset_summary,
"sources": {
"api_prompt": os.path.isfile(api_path),
"workflow": os.path.isfile(workflow_path),
"plan": os.path.isfile(plan_path),
},
})
runs.sort(key=lambda item: item["modified_at"], reverse=True)
return runs
def load_plan(self, run_name: Any) -> dict[str, Any]:
"""Load the complete saved Plan without restoring archived assets."""
directory, run = self._run_dir(run_name)
if not os.path.isdir(directory):
raise ValueError("H3 run %r does not exist." % run)
restored: dict[str, Any] = {}
policy_inputs: dict[str, dict[str, Any]] = {}
sources = []
warnings = []
plan_path = os.path.join(directory, "plan.json")
if os.path.isfile(plan_path):
try:
archive = _read_json(plan_path)
restored.update(_archive_inputs(archive, run))
policy_inputs.update(archive_policy_inputs(archive))
if restored:
sources.append("plan.json")
except (OSError, TypeError, ValueError, json.JSONDecodeError) as exc:
warnings.append("plan.json: %s" % exc)
workflow_path = os.path.join(directory, "workflow.json")
if os.path.isfile(workflow_path):
try:
values = _workflow_inputs(_read_json(workflow_path), run)
if values:
restored.update(values)
sources.append("workflow.json")
except (OSError, json.JSONDecodeError) as exc:
warnings.append("workflow.json: %s" % exc)
api_path = os.path.join(directory, "api_prompt.json")
if os.path.isfile(api_path):
try:
values = _api_prompt_inputs(_read_json(api_path), run)
if values:
restored.update(values)
sources.append("api_prompt.json")
except (OSError, json.JSONDecodeError) as exc:
warnings.append("api_prompt.json: %s" % exc)
restored["run_name"] = run
if "plan_json" not in restored:
detail = "; ".join(warnings) if warnings else "no usable Plan archive was found"
raise ValueError("Could not restore H3 run %r: %s." % (run, detail))
parsed = json.loads(restored["plan_json"])
shots = parsed.get("shots") if isinstance(parsed, dict) else parsed
return {
"run_name": run,
"scene_count": len(shots) if isinstance(shots, list) else None,
"plan_inputs": restored,
"policy_inputs": policy_inputs,
"sources": sources,
"warnings": warnings,
}
def load_run(self, run_name: Any) -> dict[str, Any]:
payload = self.load_plan(run_name)
run = payload["run_name"]
warnings = list(payload["warnings"])
try:
assets = self.assets.prepare_restore(run)
except (OSError, ValueError, json.JSONDecodeError) as exc:
assets = {"run_name": run, "bindings": [], "warnings": [str(exc)]}
warnings.extend(assets.get("warnings") or [])
return {
**payload,
"warnings": warnings,
"assets": assets,
}
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