Implements the full dual-mode tree editor (Plan Phases 1-5): Backend: - JSONB↔Markdown bidirectional serializer/parser with mistune - Markdown validator with line/column error reporting - 3 API endpoints: export-markdown, import-markdown, validate-markdown - Variable extraction/resolution service ([USER_INPUT], [VAR], [SAVE_AS]) - Session variables JSONB column (migration 028) - 39 tree markdown tests + variable service tests (403 total passing) Frontend: - Monaco-based Code Mode with custom Monarch tokenizer and dark theme - Autocomplete for @node_id refs, type values, variable names - Debounced validation (800ms) with inline Monaco error markers - Syntax help panel (absolute overlay, toggleable) - Starter template for new trees with valid cross-references - Bidirectional metadata sync (name/description/category/tags frontmatter) - Synchronous tree→markdown serializer (fixes async race condition) - Pre-save validation blocks save on broken refs or missing tree name - Mode-aware undo/redo: Monaco native in Code Mode, throttled zundo in Flow Mode - Variable prompt modal and frontend resolver for session navigation Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
135 lines
4.2 KiB
Python
135 lines
4.2 KiB
Python
"""
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Variable extraction and resolution for ResolutionFlow tree structures.
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Supports three variable tokens:
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- [USER_INPUT:prompt] — prompts user for input during session navigation
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- [VAR:name] — references a previously saved variable value
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- [SAVE_AS:name] — saves the current context as a named variable
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"""
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import re
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from dataclasses import dataclass
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from typing import Any
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@dataclass
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class VariableDefinition:
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"""A variable found in a tree structure."""
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name: str
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kind: str # 'user_input', 'reference', 'save_as'
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prompt: str # For user_input: the prompt text; for others: empty
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node_id: str # The node where this variable appears
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# Regex patterns for variable tokens
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USER_INPUT_RE = re.compile(r'\[USER_INPUT:([^\]]+)\]')
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VAR_REF_RE = re.compile(r'\[VAR:([^\]]+)\]')
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SAVE_AS_RE = re.compile(r'\[SAVE_AS:([^\]]+)\]')
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def extract_variables(tree_structure: dict[str, Any]) -> list[VariableDefinition]:
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"""Extract all variable definitions from a tree structure.
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Traverses the tree recursively and finds all [USER_INPUT:...],
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[VAR:...], and [SAVE_AS:...] tokens.
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Args:
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tree_structure: The recursive tree_structure dict.
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Returns:
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List of VariableDefinition objects found in the tree.
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"""
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variables: list[VariableDefinition] = []
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_scan_node(tree_structure, variables)
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return variables
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def _scan_node(node: dict[str, Any], variables: list[VariableDefinition]) -> None:
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"""Scan a node and its children for variable tokens."""
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node_id = node.get("id", "unknown")
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# Collect all text fields to scan
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text_fields = [
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node.get("question", ""),
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node.get("title", ""),
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node.get("description", ""),
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node.get("help_text", ""),
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node.get("expected_outcome", ""),
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node.get("solution", ""),
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]
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# Include option labels
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for opt in node.get("options", []):
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text_fields.append(opt.get("label", ""))
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# Include resolution steps
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for step in node.get("resolution_steps", []):
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text_fields.append(step)
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# Include commands
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for cmd in node.get("commands", []):
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text_fields.append(cmd)
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# Scan all text fields
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for text in text_fields:
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if not text:
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continue
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for match in USER_INPUT_RE.finditer(text):
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variables.append(VariableDefinition(
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name=match.group(1).strip(),
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kind="user_input",
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prompt=match.group(1).strip(),
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node_id=node_id,
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))
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for match in VAR_REF_RE.finditer(text):
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variables.append(VariableDefinition(
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name=match.group(1).strip(),
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kind="reference",
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prompt="",
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node_id=node_id,
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))
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for match in SAVE_AS_RE.finditer(text):
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variables.append(VariableDefinition(
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name=match.group(1).strip(),
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kind="save_as",
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prompt="",
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node_id=node_id,
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))
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# Recurse into children
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for child in node.get("children", []):
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_scan_node(child, variables)
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def resolve_variables(text: str, variables: dict[str, str]) -> str:
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"""Replace variable tokens in text with their resolved values.
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- [VAR:name] → replaced with variables[name] if present
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- [USER_INPUT:prompt] → replaced with variables[prompt] if present
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- [SAVE_AS:name] → removed (save directives don't appear in output)
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Args:
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text: The text containing variable tokens.
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variables: Dict mapping variable names to their values.
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Returns:
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Text with variable tokens replaced.
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"""
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def _replace_var(match: re.Match) -> str:
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name = match.group(1).strip()
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return variables.get(name, f"[VAR:{name}]")
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def _replace_input(match: re.Match) -> str:
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prompt = match.group(1).strip()
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return variables.get(prompt, f"[USER_INPUT:{prompt}]")
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def _replace_save(match: re.Match) -> str:
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return "" # Save directives are removed from output
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result = VAR_REF_RE.sub(_replace_var, text)
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result = USER_INPUT_RE.sub(_replace_input, result)
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result = SAVE_AS_RE.sub(_replace_save, result)
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return result
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