feat: implement tree sharing, draft trees, and session-to-tree conversion (Issues #16, #25, #17)

Backend features:
- Tree sharing via secure tokens with expiration (Issue #16)
- Draft tree status with conditional validation (Issue #25)
- Save session as custom tree with fork tracking (Issue #17)
- Tree validation system for publish requirements
- Session-to-tree conversion preserving custom steps

Database migrations:
- 024: Tree sharing (tree_shares table, visibility field)
- 025: Tree status field (draft/published)
- 25b: Merge migration for indexes

New endpoints:
- POST /api/v1/trees/{id}/share - Generate share token
- GET /api/v1/shared/{token} - Public tree access
- POST /api/v1/trees/{id}/can-publish - Validate tree
- POST /api/v1/sessions/{id}/save-as-tree - Convert session

Test coverage:
- 20 tests for draft trees functionality
- 14 tests for session-to-tree conversion
- 15 tests for tree sharing

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
Michael Chihlas
2026-02-07 23:06:13 -05:00
parent 9f92547309
commit c7b2c59ef6
16 changed files with 2141 additions and 7 deletions

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"""Helper module to convert sessions into tree structures."""
import uuid
from typing import Any
def convert_session_to_tree(
session_path: list[str],
tree_snapshot: dict[str, Any],
custom_steps: list[dict[str, Any]],
decisions: list[dict[str, Any]]
) -> dict[str, Any]:
"""Convert a session's path and custom steps into a linear tree structure.
Creates a linear decision tree that represents the path taken through the
original tree, including any custom steps inserted during the session.
Args:
session_path: List of node IDs representing the path taken
tree_snapshot: Original tree structure (for node details)
custom_steps: Custom steps inserted during session
decisions: Decision records with answers and notes
Returns:
Tree structure dict representing the linear path
"""
if not session_path:
# Return minimal valid tree if no path taken
return {
"id": str(uuid.uuid4()),
"type": "solution",
"solution": "Session had no recorded path",
"children": []
}
# Build a map of custom steps by their ID
custom_steps_map = {}
for step in custom_steps:
if "id" in step:
custom_steps_map[step["id"]] = step
# Build a map of decisions by node_id for quick lookup
decisions_map = {}
for decision in decisions:
if "node_id" in decision:
decisions_map[decision["node_id"]] = decision
# Build the linear tree structure
root_node = None
current_node = None
for i, node_id in enumerate(session_path):
# Check if this is a custom step
if node_id in custom_steps_map:
step = custom_steps_map[node_id]
new_node = _create_node_from_custom_step(step, node_id)
else:
# Find node in original tree
original_node = _find_node_in_tree(tree_snapshot, node_id)
if original_node:
new_node = _create_node_from_original(original_node, decisions_map.get(node_id))
else:
# Node not found, create a placeholder
new_node = {
"id": node_id,
"type": "action",
"action": f"Step from original tree (node {node_id})",
"children": []
}
# Add notes from decision if available
decision = decisions_map.get(node_id)
if decision and decision.get("notes"):
new_node["notes"] = decision["notes"]
# Build the chain
if root_node is None:
root_node = new_node
current_node = root_node
else:
current_node["children"] = [new_node]
current_node = new_node
return root_node
def _find_node_in_tree(tree: dict[str, Any], node_id: str) -> dict[str, Any] | None:
"""Recursively find a node in the tree structure by ID.
Args:
tree: Tree structure dict
node_id: Node ID to find
Returns:
Node dict if found, None otherwise
"""
if tree.get("id") == node_id:
return tree
for child in tree.get("children", []):
result = _find_node_in_tree(child, node_id)
if result:
return result
return None
def _create_node_from_original(
original_node: dict[str, Any],
decision: dict[str, Any] | None = None
) -> dict[str, Any]:
"""Create a new node based on an original tree node.
Args:
original_node: Original node from tree
decision: Decision record for this node (optional)
Returns:
New node dict for the linear tree
"""
node_type = original_node.get("type", "action")
new_node = {
"id": str(uuid.uuid4()), # Generate new ID for the saved tree
"type": node_type,
"children": []
}
# Copy relevant content based on node type
if node_type == "decision":
new_node["question"] = original_node.get("question", "")
if decision and decision.get("answer"):
new_node["question"] += f"\n\nAnswer: {decision['answer']}"
elif node_type == "action":
new_node["action"] = original_node.get("action", "")
if decision and decision.get("action_performed"):
new_node["action"] = decision["action_performed"]
elif node_type == "solution":
new_node["solution"] = original_node.get("solution", "")
return new_node
def _create_node_from_custom_step(
custom_step: dict[str, Any],
step_id: str
) -> dict[str, Any]:
"""Create a node from a custom step.
Args:
custom_step: Custom step dict
step_id: ID of the custom step
Returns:
Node dict for the linear tree
"""
step_type = custom_step.get("type", "action")
content = custom_step.get("content", "")
new_node = {
"id": str(uuid.uuid4()),
"type": step_type,
"children": []
}
# Map content to appropriate field based on type
if step_type == "decision":
new_node["question"] = content
elif step_type == "action":
new_node["action"] = content
elif step_type == "solution":
new_node["solution"] = content
# Add notes if present
if custom_step.get("notes"):
if step_type == "decision":
new_node["question"] += f"\n\nNotes: {custom_step['notes']}"
elif step_type == "action":
new_node["action"] += f"\n\nNotes: {custom_step['notes']}"
elif step_type == "solution":
new_node["solution"] += f"\n\nNotes: {custom_step['notes']}"
return new_node
def generate_tree_name_from_session(
original_tree_name: str,
ticket_number: str | None = None,
client_name: str | None = None
) -> str:
"""Generate a descriptive name for the saved tree.
Args:
original_tree_name: Name of the original tree
ticket_number: Optional ticket number
client_name: Optional client name
Returns:
Generated tree name
"""
parts = [original_tree_name, "Session"]
if ticket_number:
parts.append(f"(Ticket {ticket_number})")
if client_name:
parts.append(f"- {client_name}")
return " ".join(parts)

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"""Tree validation helper module for draft/published workflow."""
from typing import Any
class TreeValidationError(Exception):
"""Custom exception for tree validation errors."""
def __init__(self, field: str, message: str):
self.field = field
self.message = message
super().__init__(f"{field}: {message}")
def validate_tree_structure(tree_structure: dict[str, Any]) -> tuple[bool, list[dict[str, str]]]:
"""Validate tree structure for publishing.
A valid tree for publishing must have:
- A root node with id, type, and appropriate content fields
- All decision nodes must have a question field
- All decision nodes with children must have at least 2 children
- All action nodes must have an action field
- All solution nodes must have a solution field
- No orphaned nodes (all nodes reachable from root)
Args:
tree_structure: The tree structure dict to validate
Returns:
Tuple of (is_valid, list of errors)
Each error is a dict with 'field' and 'message' keys
"""
errors = []
# Check root node exists
if not tree_structure:
errors.append({"field": "tree_structure", "message": "Tree structure cannot be empty"})
return False, errors
if "id" not in tree_structure:
errors.append({"field": "tree_structure.id", "message": "Root node must have an id"})
if "type" not in tree_structure:
errors.append({"field": "tree_structure.type", "message": "Root node must have a type"})
return False, errors
# Validate root node based on type
_validate_node(tree_structure, "root", errors)
# Validate all child nodes recursively
if "children" in tree_structure:
_validate_children(tree_structure["children"], "root.children", errors)
return len(errors) == 0, errors
def _validate_node(node: dict[str, Any], path: str, errors: list[dict[str, str]]) -> None:
"""Validate a single node in the tree structure.
Args:
node: The node dict to validate
path: Current path in the tree (for error messages)
errors: List to append errors to
"""
node_type = node.get("type")
if node_type == "decision":
if "question" not in node or not node["question"]:
errors.append({
"field": f"{path}.question",
"message": "Decision nodes must have a non-empty question"
})
# If node has children, must have at least 2 (for decision branches)
children = node.get("children", [])
if children and len(children) < 2:
errors.append({
"field": f"{path}.children",
"message": "Decision nodes with children must have at least 2 branches"
})
elif node_type == "action":
if "action" not in node or not node["action"]:
errors.append({
"field": f"{path}.action",
"message": "Action nodes must have a non-empty action"
})
elif node_type == "solution":
if "solution" not in node or not node["solution"]:
errors.append({
"field": f"{path}.solution",
"message": "Solution nodes must have a non-empty solution"
})
else:
errors.append({
"field": f"{path}.type",
"message": f"Unknown node type: {node_type}"
})
def _validate_children(children: list[dict[str, Any]], path: str, errors: list[dict[str, str]]) -> None:
"""Recursively validate child nodes.
Args:
children: List of child nodes
path: Current path in the tree (for error messages)
errors: List to append errors to
"""
for i, child in enumerate(children):
child_path = f"{path}[{i}]"
if "id" not in child:
errors.append({"field": f"{child_path}.id", "message": "Child node must have an id"})
if "type" not in child:
errors.append({"field": f"{child_path}.type", "message": "Child node must have a type"})
continue
_validate_node(child, child_path, errors)
# Recursively validate grandchildren
if "children" in child:
_validate_children(child["children"], f"{child_path}.children", errors)
def can_publish_tree(tree_structure: dict[str, Any], name: str, description: str | None = None) -> tuple[bool, list[dict[str, str]]]:
"""Check if a tree can be published.
Validates:
- Tree has a name (non-empty)
- Tree structure is valid
Args:
tree_structure: The tree structure to validate
name: The tree name
description: Optional tree description
Returns:
Tuple of (can_publish, list of errors)
"""
errors = []
# Validate name
if not name or not name.strip():
errors.append({"field": "name", "message": "Tree must have a name to be published"})
# Validate tree structure
structure_valid, structure_errors = validate_tree_structure(tree_structure)
errors.extend(structure_errors)
return len(errors) == 0, errors