Files
resolutionflow/backend/app/services/variable_service.py
chihlasm eac6e184ec feat: add dual-mode tree editor with Code Mode, variables, and markdown sync
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>
2026-02-10 09:45:26 -05:00

135 lines
4.2 KiB
Python

"""
Variable extraction and resolution for ResolutionFlow tree structures.
Supports three variable tokens:
- [USER_INPUT:prompt] — prompts user for input during session navigation
- [VAR:name] — references a previously saved variable value
- [SAVE_AS:name] — saves the current context as a named variable
"""
import re
from dataclasses import dataclass
from typing import Any
@dataclass
class VariableDefinition:
"""A variable found in a tree structure."""
name: str
kind: str # 'user_input', 'reference', 'save_as'
prompt: str # For user_input: the prompt text; for others: empty
node_id: str # The node where this variable appears
# Regex patterns for variable tokens
USER_INPUT_RE = re.compile(r'\[USER_INPUT:([^\]]+)\]')
VAR_REF_RE = re.compile(r'\[VAR:([^\]]+)\]')
SAVE_AS_RE = re.compile(r'\[SAVE_AS:([^\]]+)\]')
def extract_variables(tree_structure: dict[str, Any]) -> list[VariableDefinition]:
"""Extract all variable definitions from a tree structure.
Traverses the tree recursively and finds all [USER_INPUT:...],
[VAR:...], and [SAVE_AS:...] tokens.
Args:
tree_structure: The recursive tree_structure dict.
Returns:
List of VariableDefinition objects found in the tree.
"""
variables: list[VariableDefinition] = []
_scan_node(tree_structure, variables)
return variables
def _scan_node(node: dict[str, Any], variables: list[VariableDefinition]) -> None:
"""Scan a node and its children for variable tokens."""
node_id = node.get("id", "unknown")
# Collect all text fields to scan
text_fields = [
node.get("question", ""),
node.get("title", ""),
node.get("description", ""),
node.get("help_text", ""),
node.get("expected_outcome", ""),
node.get("solution", ""),
]
# Include option labels
for opt in node.get("options", []):
text_fields.append(opt.get("label", ""))
# Include resolution steps
for step in node.get("resolution_steps", []):
text_fields.append(step)
# Include commands
for cmd in node.get("commands", []):
text_fields.append(cmd)
# Scan all text fields
for text in text_fields:
if not text:
continue
for match in USER_INPUT_RE.finditer(text):
variables.append(VariableDefinition(
name=match.group(1).strip(),
kind="user_input",
prompt=match.group(1).strip(),
node_id=node_id,
))
for match in VAR_REF_RE.finditer(text):
variables.append(VariableDefinition(
name=match.group(1).strip(),
kind="reference",
prompt="",
node_id=node_id,
))
for match in SAVE_AS_RE.finditer(text):
variables.append(VariableDefinition(
name=match.group(1).strip(),
kind="save_as",
prompt="",
node_id=node_id,
))
# Recurse into children
for child in node.get("children", []):
_scan_node(child, variables)
def resolve_variables(text: str, variables: dict[str, str]) -> str:
"""Replace variable tokens in text with their resolved values.
- [VAR:name] → replaced with variables[name] if present
- [USER_INPUT:prompt] → replaced with variables[prompt] if present
- [SAVE_AS:name] → removed (save directives don't appear in output)
Args:
text: The text containing variable tokens.
variables: Dict mapping variable names to their values.
Returns:
Text with variable tokens replaced.
"""
def _replace_var(match: re.Match) -> str:
name = match.group(1).strip()
return variables.get(name, f"[VAR:{name}]")
def _replace_input(match: re.Match) -> str:
prompt = match.group(1).strip()
return variables.get(prompt, f"[USER_INPUT:{prompt}]")
def _replace_save(match: re.Match) -> str:
return "" # Save directives are removed from output
result = VAR_REF_RE.sub(_replace_var, text)
result = USER_INPUT_RE.sub(_replace_input, result)
result = SAVE_AS_RE.sub(_replace_save, result)
return result