""" Document object: the single atomic unit threading the whole pipeline. It carries: - the current (possibly masked) text - structured segments (code/math/structured) sliced out by masking, kept in LIFO order - an audit record for every change (stage number, operation, target segment, pre/post SHA-256) - rollbackable snapshots (pre-stage text snapshots that allow whole-stage undo) Design principles (paper Section 3.6): integrity, rollbackability, traceability, byte-level fidelity. """ from __future__ import annotations import enum import hashlib import time from dataclasses import dataclass, field from typing import Any, Dict, List, Optional def sha256_text(text: str) -> str: """Compute SHA-256 over the UTF-8 encoding of the text (used for integrity checks and auditing).""" return hashlib.sha256(text.encode("utf-8")).hexdigest() class SegmentType(enum.Enum): PROSE = "PROSE" CODE = "CODE" MATH = "MATH" STRUCTURED = "STRUCTURED" # tables / JSON / YAML / TOML / XML / CSV / Markdown @dataclass class Segment: """A non-prose segment sliced out by masking.""" seg_type: SegmentType placeholder: str # placeholder that replaces it in the text (includes PUA sentinels) original_content: str # original content (used for LIFO restore / SHA check) content_sha256: str # hash of content at the moment of masking repaired_content: Optional[str] = None # type-specific-repaired content repaired_validated: bool = False # whether pre-restore type-specific validation passed nesting_depth: int = 0 # inner-to-outer extraction depth (basis for LIFO restore) meta: Dict[str, Any] = field(default_factory=dict) @classmethod def make(cls, seg_type: SegmentType, placeholder: str, content: str, nesting_depth: int = 0, **meta) -> "Segment": return cls( seg_type=seg_type, placeholder=placeholder, original_content=content, content_sha256=sha256_text(content), nesting_depth=nesting_depth, meta=meta, ) @dataclass class AuditRecord: """A single-change audit record (paper Section 3.6, fourth principle).""" stage: int operation: str target: str # target object ("document" / segment placeholder, etc.) sha_before: str sha_after: str note: str = "" ts: float = field(default_factory=time.time) @dataclass class Document: # --- raw + current state --- raw_bytes: bytes = b"" original_text: str = "" # text after Stage 1 decoding (basis for rollback) text: str = "" # current (possibly masked) text # --- upstream metadata (used by the Stage 1 priority cascade) --- http_charset: Optional[str] = None # HTTP Content-Type declaration html_meta_charset: Optional[str] = None # has_dom: bool = False # upstream retains an HTML DOM dom_html: Optional[str] = None # raw HTML (used by the DOM-priority path) source_hint: Optional[str] = None # e.g. "ocr" / "rfc" / "email" # --- masked segments (LIFO) --- segments: List[Segment] = field(default_factory=list) # --- quality + state --- detected_encoding: Optional[str] = None quality_passed: Optional[bool] = None quality_score: Optional[float] = None discarded: bool = False discard_reason: str = "" # --- audit + rollback --- audit: List[AuditRecord] = field(default_factory=list) _snapshots: Dict[int, str] = field(default_factory=dict) # stage -> text snapshot meta: Dict[str, Any] = field(default_factory=dict) # ---------------------------------------------------------------- # def snapshot(self, stage: int) -> None: """Save a text snapshot before a stage starts, enabling whole-stage rollback.""" self._snapshots[stage] = self.text def rollback(self, stage: int) -> None: if stage in self._snapshots: self.text = self._snapshots[stage] def record(self, stage: int, operation: str, sha_before: str, target: str = "document", note: str = "") -> None: self.audit.append(AuditRecord( stage=stage, operation=operation, target=target, sha_before=sha_before, sha_after=sha256_text(self.text), note=note, )) def apply(self, stage: int, operation: str, new_text: str, target: str = "document", note: str = "") -> None: """Apply a text-level change and auto-record it.""" sha_before = sha256_text(self.text) self.text = new_text self.record(stage, operation, sha_before, target, note) def next_segment_index(self) -> int: return len(self.segments)