File size: 10,199 Bytes
97b64b9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 | """Assembles and writes the complete per-sample metadata JSON.
The exported schema always includes every documented field -- augmentation
parameters that were not applied are still present, with a neutral value
(``0``/``null``/``false``) rather than being omitted, so downstream
consumers can rely on a stable schema across the whole dataset.
"""
from __future__ import annotations
import json
from pathlib import Path
from typing import Any
import numpy as np
from src.analysis.difficulty_analyzer import DifficultyResult
from src.analysis.geometry_analyzer import GeometryResult
from src.augmentation.augmentation_engine import AugmentationRecord
from src.config.schema import QualityConfig
from src.placement.placement_engine import PlacementResult
from src.rendering.renderer import RenderResult
from src.signatures.signature_dataset import SignatureRecord
from src.utils.logging_utils import get_logger
logger = get_logger(__name__)
def _json_default(obj: Any) -> Any:
if isinstance(obj, np.integer):
return int(obj)
if isinstance(obj, np.floating):
return float(obj)
if isinstance(obj, np.bool_):
return bool(obj)
if isinstance(obj, np.ndarray):
return obj.tolist()
if isinstance(obj, Path):
return obj.as_posix()
return str(obj)
class MetadataExporter:
"""Builds and writes the full per-sample metadata JSON document.
Example:
>>> exporter = MetadataExporter()
>>> metadata = exporter.build(...)
>>> exporter.export(metadata, "output/sample_000001.json")
"""
def build(
self,
document_id: str,
template_id: str,
document_type: "str | None",
page: int,
page_size: tuple[int, int],
dpi: int,
signer_name: str,
signer_role: str,
signature_source: "SignatureRecord | None",
placement: PlacementResult,
render: RenderResult,
signature_aug: dict[str, AugmentationRecord],
document_aug: dict[str, AugmentationRecord],
geometry: GeometryResult,
difficulty: DifficultyResult,
quality_cfg: QualityConfig,
quality_values: dict[str, float],
seed: int,
sample_index: int,
verification: "dict[str, Any] | None" = None,
) -> dict[str, Any]:
"""Assemble the complete metadata dict for one generated sample."""
degraded = self._compute_degraded(quality_cfg)
augmentation_section = self._build_augmentation_section(placement, render, signature_aug, document_aug)
metadata: dict[str, Any] = {
"document_id": document_id,
"template": template_id,
"document_type": document_type,
"page": page,
"page_size": list(page_size),
"dpi": dpi,
"signer": {
"name": signer_name,
"role": signer_role,
},
"signature_source": (
{
"signature_id": signature_source.signature_id,
"path": signature_source.path.as_posix(),
"signer_group": signature_source.signer_group,
"source_type": signature_source.source_type,
"script": signature_source.script,
}
if signature_source is not None
else {"signature_id": None, "path": None, "signer_group": None, "source_type": "none", "script": None}
),
"placement": {
"x_offset": placement.x_offset,
"y_offset": placement.y_offset,
"rotation_deg": round(placement.rotation_deg, 3),
"scale_factor": round(placement.scale_factor, 4),
"anchor_point": placement.anchor_point,
"margin_target_box": list(placement.target_box),
"misplaced": placement.misplaced,
"misplacement_dx": round(placement.misplacement_dx, 2),
"misplacement_dy": round(placement.misplacement_dy, 2),
},
"rendering": {
"blend_mode": render.blend_mode,
"ink_opacity": render.ink_opacity,
"blur_sigma": render.blur_sigma,
"feather_px": render.feather_px,
"scanner_noise": render.scanner_noise,
},
"difficulty": {
"score": difficulty.score,
"tier": difficulty.tier,
"misplacement": difficulty.misplacement,
"whitespace": difficulty.whitespace,
"faintness": difficulty.faintness,
"smallness": difficulty.smallness,
"low_texture": difficulty.low_texture,
},
"quality": {
"degraded": degraded,
"case_type": quality_cfg.case_type,
"notes": quality_cfg.notes,
"scanner_quality": quality_values["scanner_quality"],
"paper_quality": quality_values["paper_quality"],
"render_quality": quality_values["render_quality"],
},
"verification": verification or {
"case_type": None, "verdict": None, "reject_code": None,
"target_box_id": None, "expected_signer_group": None, "expected_signer_script": None,
"actual_signer_group": None, "actual_source_type": None, "actual_signer_script": None,
"companion": None,
},
"augmentation": augmentation_section,
"geometry": {
"box_px": list(geometry.target_box),
"signature_bbox_px": list(geometry.signature_bbox_px),
"target_box": list(geometry.target_box),
"actual_box": list(geometry.actual_box),
"search_box_px": list(geometry.search_box),
"signature_polygon_px": geometry.signature_polygon_px,
"convex_hull_px": geometry.convex_hull_px,
"min_rotated_rect": geometry.min_rotated_rect,
"centroid_px": list(geometry.centroid_px),
"orientation_deg": geometry.orientation_deg,
"ink_pixels": geometry.ink_pixels,
"detected": geometry.found,
},
"metrics": {
"box_coverage_pct": geometry.box_coverage_pct,
"containment_pct": geometry.containment_pct,
"ink_fill_ratio": geometry.ink_fill_ratio,
"polygon_overlap_proxy": geometry.polygon_overlap_proxy,
"distance_from_box_center_px": geometry.distance_from_box_center_px,
"margin_utilization": geometry.margin_utilization,
"mean_dark_intensity": geometry.mean_dark_intensity,
"gray_stddev": geometry.gray_stddev,
"signature_area_ratio": geometry.signature_area_ratio,
},
"provenance": {
"master_seed": seed,
"sample_index": sample_index,
},
}
return metadata
@staticmethod
def _compute_degraded(quality_cfg: QualityConfig) -> bool:
case_type_flag = quality_cfg.case_type == "1d"
notes_flag = bool(quality_cfg.notes and "low-quality" in quality_cfg.notes.lower())
return bool(case_type_flag or notes_flag)
@staticmethod
def _build_augmentation_section(
placement: PlacementResult, render: RenderResult,
signature_aug: dict[str, AugmentationRecord], document_aug: dict[str, AugmentationRecord],
) -> dict[str, Any]:
def rec(records: dict[str, AugmentationRecord], name: str) -> AugmentationRecord:
return records[name]
stroke_rec = rec(signature_aug, "stroke_dilation")
noise_rec = rec(document_aug, "scanner_noise")
stain_rec = rec(document_aug, "stain")
shadow_rec = rec(document_aug, "shadow")
coffee_rec = rec(document_aug, "coffee_stain")
crumple_rec = rec(document_aug, "crumple")
tilt_rec = rec(document_aug, "page_tilt")
discoloration_rec = rec(document_aug, "discoloration")
jpeg_rec = rec(document_aug, "jpeg_compression")
effects: dict[str, Any] = {}
for name, r in {**signature_aug, **document_aug}.items():
effects[name] = {
"enabled": r.enabled,
"applied": r.applied,
"strength": r.strength,
"probability": r.probability,
"seed": r.seed,
"params": r.params,
}
return {
"rotate_deg": round(placement.rotation_deg, 3),
"scale_factor": round(placement.scale_factor, 4),
"stroke": stroke_rec.strength if stroke_rec.applied else 0.0,
"noise_amount": noise_rec.strength if noise_rec.applied else 0.0,
"stain_type": stain_rec.params.get("resolved_type") if stain_rec.applied else None,
"stain_strength": stain_rec.strength if stain_rec.applied else 0.0,
"shadow_type": shadow_rec.params.get("resolved_type") if shadow_rec.applied else None,
"shadow_strength": shadow_rec.strength if shadow_rec.applied else 0.0,
"coffee_stain_strength": coffee_rec.strength if coffee_rec.applied else 0.0,
"crumple_strength": crumple_rec.strength if crumple_rec.applied else 0.0,
"tilt_deg": tilt_rec.params.get("tilt_deg", 0.0) if tilt_rec.applied else 0.0,
"discoloration_strength": discoloration_rec.strength if discoloration_rec.applied else 0.0,
"blur_sigma": render.blur_sigma,
"jpeg_quality": jpeg_rec.params.get("quality") if jpeg_rec.applied else None,
"scanner_noise": render.scanner_noise,
"effects": effects,
}
def export(self, metadata: dict[str, Any], path: "str | Path") -> None:
"""Write the metadata dict to disk as pretty-printed JSON."""
path = Path(path)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(metadata, indent=2, default=_json_default), encoding="utf-8")
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