# Path: momo/plugins/flask/search.py
# def search_nodes_by_term(term, root, case_insensitive, sep):
#     """
#     High-level function to search nodes by search term. It does three things:
# 
#     1. Parse the search term into a list of lambda lists.
#     2. Generate a search filter function.
#     3. Search the nodes with the search filter function.
# 
#     """
#     parsed_term = parse_search_term(term, case_insensitive, sep)
#     search_filter = get_search_filter(parsed_term)
#     nodes = search_nodes(root, search_filter)
#     return nodes
# 
# def parse_q(s):
#     """Parse the value of query string q (?q=) into a search sub-term."""
#     if '=' not in s:
#         names = s.split()
#         term = '/'.join(map(lambda x: 'n.name=' + x, names))
#         return term
#     else:
#         subterms = s.split()
#         res = []
#         for subterm in subterms:
#             if '=' not in subterm:
#                 res.append('n.name=' + subterm)
#             else:
#                 res.append(subterm)
#         term = '&'.join(res)
#         return term
# 
# def join_terms(*args):
#     res = []
#     for arg in args:
#         res.append(arg.strip('/'))
#     return '/'.join(res)


from collections import OrderedDict
from flask import g
from momo.plugins.flask.search import (
    search_nodes_by_term,
    parse_q,
    join_terms
)
    Function to process requests for node view. It generates and returns a
    node.
    """
    node = node_from_path(path, root)
    return node


def post_node(path, root, request, node):
    """
    Function to post-process requests for node view. It is used to
    post-process the node.
    """
    return node


def pre_search(root, term, request):
    """
    Function to pre-process requests for search view. It is used to update g.
    """
    pass


def process_search(root, term, request):
    """
    Function to process requests for search view. It generates and returns
    nodes.
    """
    q = request.args.get('q')
    if q:
        if term:

# Path: momo/plugins/flask/search.py
# def search_nodes_by_term(term, root, case_insensitive, sep):
#     """
#     High-level function to search nodes by search term. It does three things:
# 
#     1. Parse the search term into a list of lambda lists.
#     2. Generate a search filter function.
#     3. Search the nodes with the search filter function.
# 
#     """
#     parsed_term = parse_search_term(term, case_insensitive, sep)
#     search_filter = get_search_filter(parsed_term)
#     nodes = search_nodes(root, search_filter)
#     return nodes
# 
# def parse_q(s):
#     """Parse the value of query string q (?q=) into a search sub-term."""
#     if '=' not in s:
#         names = s.split()
#         term = '/'.join(map(lambda x: 'n.name=' + x, names))
#         return term
#     else:
#         subterms = s.split()
#         res = []
#         for subterm in subterms:
#             if '=' not in subterm:
#                 res.append('n.name=' + subterm)
#             else:
#                 res.append(subterm)
#         term = '&'.join(res)
#         return term
# 
# def join_terms(*args):
#     res = []
#     for arg in args:
#         res.append(arg.strip('/'))
#     return '/'.join(res)


# Path: momo/plugins/flask/nodes.py
from collections import OrderedDict
from flask import g
from momo.plugins.flask.search import (
    search_nodes_by_term,
    parse_q,
    join_terms
)

    Function to process requests for node view. It generates and returns a
    node.
    """
    node = node_from_path(path, root)
    return node


def post_node(path, root, request, node):
    """
    Function to post-process requests for node view. It is used to
    post-process the node.
    """
    return node


def pre_search(root, term, request):
    """
    Function to pre-process requests for search view. It is used to update g.
    """
    pass


def process_search(root, term, request):
    """
    Function to process requests for search view. It generates and returns
    nodes.
    """
    q = request.args.get('q')
    if q:
        if term:

            term = join_terms(term, parse_q(q))