Files
indigo 981808b901 Extend submission config: .mxf/codec/frame-rate checks, regex naming, shot/asset tabs
- Movie spec checks now also cover codec (h264/h265/mjpeg/dnxhd/dnxhr/
  prores/uncompressed/avid/cineform) and frame rate (23.976/24/30/48/60),
  detected in-browser via mediainfo.js container parsing - works even
  for formats the native <video> element can't decode (MXF, ProRes,
  DNxHD). Added .mxf to the supported/allowed format lists.
- Naming pattern supports a raw regex mode (validated by compiling
  server-side at save time) as an alternative to the token pattern,
  and gained three more tokens: {task_name}, {project_name},
  {project_code} (fetched lazily only when referenced).
- Submission Configuration settings page now splits Shot Tasks /
  Asset Tasks into separate tabs instead of one merged list; the
  per-task-type card was extracted into SubmissionTypeConfigCard.vue
  to avoid duplicating it across both tabs.
2026-07-19 19:15:05 +08:00

115 lines
5.1 KiB
Python

"""
Pydantic schemas for per-task-type submission configuration
"""
from pydantic import BaseModel, Field, validator
from typing import Optional, Dict, List
import re
from utils.file_handler import file_handler
# Tokens supported in a token-mode naming_pattern
NAMING_PATTERN_TOKEN_RE = re.compile(r'\{(name|task_type|task_name|project_name|project_code|version)\}')
NAMING_PATTERN_ALLOWED_CHARS_RE = re.compile(r'^[A-Za-z0-9_\-\.]*$')
MOVIE_FORMATS = {ext.lstrip('.') for ext in file_handler.MOVIE_EXTENSIONS}
MOVIE_CODECS = {'h264', 'h265', 'mjpeg', 'dnxhd', 'dnxhr', 'prores', 'uncompressed', 'avid', 'cineform'}
MOVIE_FRAME_RATES = {23.976, 24, 30, 48, 60}
RESOLUTION_RE = re.compile(r'^\d+x\d+$')
class SubmissionTypeConfig(BaseModel):
"""Submission rules for a single task type.
All checking against these rules happens client-side (in TaskSubmissions.vue) when an
artist picks a file to submit - this schema only validates and stores the configuration
itself, it is never used to inspect an uploaded file server-side.
"""
allowed_extensions: List[str] = Field(default_factory=list, description="Accepted file extensions, e.g. ['.mov', '.exr']")
naming_pattern_is_regex: bool = Field(False, description="If true, naming_pattern is a raw regular expression instead of a token pattern")
naming_pattern: Optional[str] = Field(
None,
description="Either a token pattern (using {name}, {task_type}, {task_name}, {project_name}, "
"{project_code}, {version}) or, if naming_pattern_is_regex is set, a raw regular expression"
)
check_naming: bool = Field(True, description="Whether the naming pattern is actively checked")
required: bool = Field(False, description="Whether a submission is expected for this task type (informational only)")
check_movie_spec: bool = Field(False, description="Whether to check video submissions against movie_resolution/movie_format/movie_codec/movie_frame_rate")
movie_resolution: Optional[str] = Field(None, description="Required video resolution, e.g. '1920x1080'")
movie_format: Optional[str] = Field(None, description="Required video format, e.g. 'mov'")
movie_codec: Optional[str] = Field(None, description="Required video codec, e.g. 'h264'")
movie_frame_rate: Optional[float] = Field(None, description="Required video frame rate, e.g. 23.976")
@validator('allowed_extensions')
def validate_allowed_extensions(cls, v):
normalized = []
for ext in v:
ext = ext.lower()
if not ext.startswith('.'):
ext = f'.{ext}'
if ext not in file_handler.SUPPORTED_FORMATS:
raise ValueError(
f"Extension '{ext}' is not a supported file format. "
f"Supported formats: {', '.join(sorted(file_handler.SUPPORTED_FORMATS))}"
)
normalized.append(ext)
return normalized
@validator('naming_pattern')
def validate_naming_pattern(cls, v, values):
if v is None or v == '':
return None
if values.get('naming_pattern_is_regex'):
try:
re.compile(v)
except re.error as e:
raise ValueError(f'Invalid regular expression: {e}')
return v
# Token mode: strip out known tokens, then everything left must be safe literal characters
stripped = NAMING_PATTERN_TOKEN_RE.sub('', v)
if not NAMING_PATTERN_ALLOWED_CHARS_RE.match(stripped):
raise ValueError(
'Naming pattern may only contain letters, numbers, "_", "-", "." '
'and the tokens {name}, {task_type}, {task_name}, {project_name}, {project_code}, {version}'
)
return v
@validator('movie_resolution')
def validate_movie_resolution(cls, v):
if v is None or v == '':
return None
if not RESOLUTION_RE.match(v):
raise ValueError('Movie resolution must be in format "WIDTHxHEIGHT" (e.g., "1920x1080")')
return v
@validator('movie_format')
def validate_movie_format(cls, v):
if v is None or v == '':
return None
v = v.lower().lstrip('.')
if v not in MOVIE_FORMATS:
raise ValueError(f'Movie format must be one of: {", ".join(sorted(MOVIE_FORMATS))}')
return v
@validator('movie_codec')
def validate_movie_codec(cls, v):
if v is None or v == '':
return None
v = v.lower()
if v not in MOVIE_CODECS:
raise ValueError(f'Movie codec must be one of: {", ".join(sorted(MOVIE_CODECS))}')
return v
@validator('movie_frame_rate')
def validate_movie_frame_rate(cls, v):
if v is None:
return None
if not any(abs(v - rate) < 0.001 for rate in MOVIE_FRAME_RATES):
raise ValueError(f'Movie frame rate must be one of: {", ".join(str(r) for r in sorted(MOVIE_FRAME_RATES))}')
return v
class ProjectSubmissionConfig(BaseModel):
"""Submission configuration for a project, keyed by task type"""
config_by_task_type: Dict[str, SubmissionTypeConfig] = Field(default_factory=dict)