def test_query_by_query_graph_2():
query = {
"message": {
"query_graph": {
"edges": {
"qg2": {
"subject": "qg1",
"object": "qg0",
"predicates": ["biolink:physically_interacts_with"]
}
},
"nodes": {
"qg0": {
"name": "acetaminophen",
"ids": ["CHEMBL.COMPOUND:CHEMBL112"],
"categories": ["biolink:ChemicalEntity"]
},
"qg1": {
"name": None,
"ids": None,
"categories": ["biolink:Protein"]
}
}
}
}
}
araxq = ARAXQuery()
araxq.query(query)
response = araxq.response
print(response.show())
assert response.status == 'OK'
message = response.envelope.message
assert len(message.results) >= 32
assert response.envelope.schema_version == '1.2.0'
def _do_arax_query(query: dict) -> List[Union[ARAXResponse, Message]]:
araxq = ARAXQuery()
response = araxq.query(query)
if response.status != 'OK':
print(response.show(level=response.DEBUG))
#return [response, araxq.message]
return [response, response.envelope.message]
def _do_arax_query(
query: dict,
print_response: bool = True) -> List[Union[Response, Message]]:
araxq = ARAXQuery()
response = araxq.query(query)
if response.status != 'OK' and print_response:
print(response.show(level=response.DEBUG))
return [response, araxq.message]
def _answer_query_force_local(self, request_body: dict) -> dict:
self.log.debug(
f"{self.kp_name}: Pretending to send query to KG2 API (really it will be run locally)"
)
arax_query = ARAXQuery()
kg2_araxquery_response = arax_query.query(request_body, mode='RTXKG2')
json_response = kg2_araxquery_response.envelope.to_dict()
return json_response
def _run_arax_query(request_body: dict,
log: ARAXResponse) -> Tuple[ARAXResponse, Message]:
araxq = ARAXQuery()
sub_query_response = araxq.query(request_body, mode="RTXKG2")
if sub_query_response.status != 'OK':
log.error(
f"Encountered an error running ARAXQuery within Expand: {sub_query_response.show(level=sub_query_response.DEBUG)}"
)
return sub_query_response, araxq.message
def test_query_by_canned_query_Q0():
query = { 'message': { 'query_type_id': 'Q0', 'terms': { 'term': 'lovastatin' } } }
araxq = ARAXQuery()
result = araxq.query(query)
print(result.show())
assert result.status == 'OK'
message = araxq.message
assert message.n_results == 1
assert message.type == 'translator_reasoner_message'
assert message.schema_version == '0.9.2' # FIXME
def _do_arax_query(
query: dict,
timeout: Optional[int] = None) -> List[Union[ARAXResponse, Message]]:
araxq = ARAXQuery()
if timeout:
query["query_options"] = {"kp_timeout": timeout}
response = araxq.query(query)
if response.status != 'OK':
print(response.show(level=response.DEBUG))
return [response, response.envelope.message]
def _run_arax_query(actions_list: List[str],
log: ARAXResponse) -> Tuple[ARAXResponse, Message]:
araxq = ARAXQuery()
sub_query_response = araxq.query(
{"operations": {
"actions": actions_list
}})
if sub_query_response.status != 'OK':
log.error(
f"Encountered an error running ARAXQuery within Expand: {sub_query_response.show(level=sub_query_response.DEBUG)}"
)
return sub_query_response, araxq.message
def _run_query_and_do_standard_testing(
actions: Optional[List[str]] = None,
json_query: Optional[dict] = None,
kg_should_be_incomplete=False,
debug=False,
should_throw_error=False,
error_code: Optional[str] = None,
timeout: Optional[int] = None
) -> Tuple[Dict[str, Dict[str, Node]], Dict[str, Dict[str, Edge]]]:
# Run the query
araxq = ARAXQuery()
assert actions or json_query # Must provide some sort of query to run
query_object = {
"operations": {
"actions": actions
}
} if actions else {
"message": {
"query_graph": json_query
}
}
if timeout:
query_object["query_options"] = {"kp_timeout": timeout}
response = araxq.query(query_object)
message = araxq.message
if response.status != 'OK':
print(response.show(level=ARAXResponse.DEBUG))
assert response.status == 'OK' or should_throw_error
if should_throw_error and error_code:
assert response.error_code == error_code
# Convert output knowledge graph to a dictionary format for faster processing (organized by QG IDs)
dict_kg = eu.convert_standard_kg_to_qg_organized_kg(
message.knowledge_graph)
nodes_by_qg_id = dict_kg.nodes_by_qg_id
edges_by_qg_id = dict_kg.edges_by_qg_id
# Optionally print more detail
if debug:
_print_nodes(nodes_by_qg_id)
_print_edges(edges_by_qg_id)
_print_counts_by_qgid(nodes_by_qg_id, edges_by_qg_id)
print(response.show(level=ARAXResponse.DEBUG))
# Run standard testing (applies to every test case)
assert eu.qg_is_fulfilled(
message.query_graph, dict_kg, enforce_required_only=True
) or kg_should_be_incomplete or should_throw_error
_check_for_orphans(nodes_by_qg_id, edges_by_qg_id)
_check_property_format(nodes_by_qg_id, edges_by_qg_id)
_check_node_categories(message.knowledge_graph.nodes, message.query_graph)
return nodes_by_qg_id, edges_by_qg_id
def test_query_by_query_graph_2():
query = { "message": { "query_graph": { "edges": [
{ "id": "qg2", "source_id": "qg1", "target_id": "qg0", "type": "physically_interacts_with" }
],
"nodes": [
{ "id": "qg0", "name": "acetaminophen", "curie": "CHEMBL.COMPOUND:CHEMBL112", "type": "chemical_substance" },
{ "id": "qg1", "name": None, "desc": "Generic protein", "curie": None, "type": "protein" }
] } } }
araxq = ARAXQuery()
result = araxq.query(query)
print(result.show())
assert result.status == 'OK'
message = araxq.message
assert message.n_results == 32
assert message.schema_version == '0.9.3'
def _run_arax_query(actions_list: List[str],
log: Response) -> DictKnowledgeGraph:
araxq = ARAXQuery()
sub_query_response = araxq.query({
"previous_message_processing_plan": {
"processing_actions": actions_list
}
})
if sub_query_response.status != 'OK':
log.error(
f"Encountered an error running ARAXQuery within Expand: {sub_query_response.show(level=sub_query_response.DEBUG)}"
)
return dict()
sub_query_message = araxq.message
return sub_query_message.knowledge_graph
def _run_query_and_do_standard_testing(
actions_list: List[str],
kg_should_be_incomplete=False,
debug=False,
should_throw_error=False
) -> Tuple[Dict[str, Dict[str, Node]], Dict[str, Dict[str, Edge]]]:
# Run the query
araxq = ARAXQuery()
response = araxq.query({
"previous_message_processing_plan": {
"processing_actions": actions_list
}
})
message = araxq.message
if response.status != 'OK':
print(response.show(level=Response.DEBUG))
assert response.status == 'OK' or should_throw_error
# Convert output knowledge graph to a dictionary format for faster processing (organized by QG IDs)
dict_kg = eu.convert_standard_kg_to_dict_kg(message.knowledge_graph)
nodes_by_qg_id = dict_kg.nodes_by_qg_id
edges_by_qg_id = dict_kg.edges_by_qg_id
# Optionally print more detail
if debug:
_print_nodes(nodes_by_qg_id)
_print_edges(edges_by_qg_id)
_print_counts_by_qgid(nodes_by_qg_id, edges_by_qg_id)
print(response.show(level=Response.DEBUG))
# Run standard testing (applies to every test case)
assert eu.qg_is_fulfilled(
message.query_graph,
dict_kg) or kg_should_be_incomplete or should_throw_error
_check_for_orphans(nodes_by_qg_id, edges_by_qg_id)
_check_property_format(nodes_by_qg_id, edges_by_qg_id)
_check_node_types(message.knowledge_graph.nodes, message.query_graph)
if not any(action for action in actions_list
if "synonym_handling=add_all" in action):
_check_counts_of_curie_qnodes(nodes_by_qg_id, message.query_graph)
return nodes_by_qg_id, edges_by_qg_id
def query_size_of_adjacent_nodes(self, node_curie, source_type, adjacent_type, kp="infores:rtx-kg2", rel_type=None):
"""
Query adjacent nodes of a given source node based on adjacent node type.
:param node_curie: (required) the curie id of query node. It accepts both single curie id or curie id list eg. "UniProtKB:P14136" or ['UniProtKB:P02675', 'UniProtKB:P01903', 'UniProtKB:P09601', 'UniProtKB:Q02878']
:param source_type: (required) the type of source node, eg. "gene"
:param adjacent_type: (required) the type of adjacent node, eg. "biological_process"
:param kp: (optional) the knowledge provider to use, eg. "infores:rtx-kg2"(default)
:param rel_type: (optional) edge type to consider, eg. "involved_in"
:return a tuple with a dict containing the number of adjacent nodes for the query node and a list of removed nodes
"""
res = None
source_type = ComputeFTEST.convert_string_to_snake_case(source_type.replace('biolink:',''))
source_type = ComputeFTEST.convert_string_biolinkformat(source_type)
adjacent_type = ComputeFTEST.convert_string_to_snake_case(adjacent_type.replace('biolink:',''))
adjacent_type = ComputeFTEST.convert_string_biolinkformat(adjacent_type)
if rel_type is None:
nodesynonymizer = NodeSynonymizer()
normalized_nodes = nodesynonymizer.get_canonical_curies(node_curie)
failure_nodes = list()
mapping = {node:normalized_nodes[node]['preferred_curie'] for node in normalized_nodes if normalized_nodes[node] is not None}
failure_nodes += list(normalized_nodes.keys() - mapping.keys())
query_nodes = list(set(mapping.values()))
query_nodes = [curie_id.replace("'", "''") if "'" in curie_id else curie_id for curie_id in query_nodes]
# special_curie_ids = [curie_id for curie_id in query_nodes if "'" in curie_id]
# Get connected to kg2c sqlite
connection = sqlite3.connect(self.sqlite_file_path)
cursor = connection.cursor()
# Extract the neighbor count data
node_keys_str = "','".join(query_nodes) # SQL wants ('node1', 'node2') format for string lists
sql_query = f"SELECT N.id, N.neighbor_counts " \
f"FROM neighbors AS N " \
f"WHERE N.id IN ('{node_keys_str}')"
cursor.execute(sql_query)
rows = cursor.fetchall()
rows = [curie_id.replace("\'","'").replace("''", "'") if "'" in curie_id else curie_id for curie_id in rows]
connection.close()
# Load the counts into a dictionary
neighbor_counts_dict = {row[0]:eval(row[1]) for row in rows}
res_dict = {node:neighbor_counts_dict[mapping[node]].get(adjacent_type) for node in mapping if mapping[node] in neighbor_counts_dict and neighbor_counts_dict[mapping[node]].get(adjacent_type) is not None}
failure_nodes += list(mapping.keys() - res_dict.keys())
if len(failure_nodes) != 0:
return (res_dict, failure_nodes)
else:
return (res_dict, [])
else:
if kp == 'ARAX/KG1':
self.response.warning(f"Since the edge type '{rel_type}' is from KG1, we still use the DSL expand(kg=ARAX/KG1) to query neighbor count. However, the total node count is based on KG2c from 'nodesynonymizer.get_total_entity_count'. So the FET result might not be accurate.")
# construct the instance of ARAXQuery class
araxq = ARAXQuery()
# check if node_curie is a str or a list
if type(node_curie) is str:
query_node_curie = node_curie
elif type(node_curie) is list:
node_id_list_str = "["
for index in range(len(node_curie)):
node = node_curie[index]
if index + 1 == len(node_curie):
node_id_list_str = node_id_list_str + str(node) + "]"
else:
node_id_list_str = node_id_list_str + str(node) + ","
query_node_curie = node_id_list_str
else:
self.response.error("The 'node_curie' argument of 'query_size_of_adjacent_nodes' method within FET only accepts str or list")
return res
# call the method of ARAXQuery class to query adjacent node
query = {"operations": {"actions": [
"create_message",
f"add_qnode(ids={query_node_curie}, categories={source_type}, key=FET_n00)",
f"add_qnode(categories={adjacent_type}, key=FET_n01)",
f"add_qedge(subject=FET_n00, object=FET_n01, key=FET_e00, predicates={rel_type})",
f"expand(edge_key=FET_e00,kp={kp})",
#"resultify()",
"return(message=true, store=false)"
]}}
try:
result = araxq.query(query)
if result.status != 'OK':
self.response.error(f"Fail to query adjacent nodes from infores:rtx-kg2 for {node_curie}")
return res
else:
res_dict = dict()
message = araxq.response.envelope.message
if type(node_curie) is str:
tmplist = set([edge_key for edge_key in message.knowledge_graph.edges if message.knowledge_graph.edges[edge_key].subject == node_curie or message.knowledge_graph.edges[edge_key].object == node_curie]) ## edge has no direction
if len(tmplist) == 0:
self.response.warning(f"Fail to query adjacent nodes from {kp} for {node_curie} in FET probably because expander ignores node type. For more details, please see issue897.")
return (res_dict,[node_curie])
res_dict[node_curie] = len(tmplist)
return (res_dict,[])
else:
check_empty = False
failure_nodes = list()
for node in node_curie:
tmplist = set([edge_key for edge_key in message.knowledge_graph.edges if message.knowledge_graph.edges[edge_key].subject == node or message.knowledge_graph.edges[edge_key].object == node]) ## edge has no direction
if len(tmplist) == 0:
self.response.warning(f"Fail to query adjacent nodes from {kp} for {node} in FET probably because expander ignores node type. For more details, please see issue897.")
failure_nodes.append(node)
check_empty = True
continue
res_dict[node] = len(tmplist)
if check_empty is True:
return (res_dict,failure_nodes)
else:
return (res_dict,[])
except:
tb = traceback.format_exc()
error_type, error, _ = sys.exc_info()
self.response.error(tb, error_code=error_type.__name__)
self.response.error(f"Something went wrong with querying adjacent nodes from {kp} for {node_curie}")
return res
def _do_arax_query(query: dict):
araxq = ARAXQuery()
response = araxq.query(query)
if response.status != 'OK':
print(response.show(level=response.DEBUG))
return [response, response.envelope.message]
def _query_size_of_adjacent_nodes_parallel(self, this):
# This method is expected to be run within this class
"""
Query the size of adjacent nodes of a given source node based on adjacent node type in parallel.
:param this is a list containing five sub-arguments below since this function is exectued in parallel.
:return the number of adjacent nodes for the query node
"""
#:sub-argument node_curie: (required) the curie id of query node, eg. "UniProtKB:P14136"
#:sub-argument source_type: (required) the type of source node, eg. "gene"
#:sub-argument adjacent_type: (required) the type of adjacent node, eg. "biological_process"
#:sub-argument kp: (optional) the knowledge provider to use, eg. "ARAX/KG1"(default)
#:sub-argument rel_type: (optional) edge type to consider, eg. "involved_in"
error_message = []
if len(this) == 5:
# this contains four arguments and assign them to different variables
node_curie, source_type, adjacent_type, kp, rel_type = this
elif len(this) == 4:
node_curie, source_type, adjacent_type, kp = this
rel_type = None
elif len(this) == 3:
node_curie, source_type, adjacent_type = this
kp = "ARAX/KG1"
rel_type = None
else:
error_message.append("The '_query_size_of_adjacent_nodes_parallel' method within FET only accepts four arguments: node_curie, adjacent_type, kp, rel_type")
return error_message
if kp=='ARAX/KG2' or kp == 'ARAX/KG2c':
kp="ARAX/KG2"
# construct the instance of ARAXQuery class
araxq = ARAXQuery()
# check if node_curie is a str
if type(node_curie) is str:
pass
else:
error_message.append("The 'node_curie' argument of '_query_size_of_adjacent_nodes_parallel' method within FET only accepts str")
return error_message
# call the method of ARAXQuery class to query adjacent node
if rel_type:
query = {"operations": {"actions": [
"create_message",
f"add_qnode(id={node_curie}, category={source_type}, key=FET_n00)",
f"add_qnode(category={adjacent_type}, key=FET_n01)",
f"add_qedge(subject=FET_n00, object=FET_n01, key=FET_e00, predicate={rel_type})",
f"expand(edge_key=FET_e00,kp={kp})",
#"resultify()",
"return(message=true, store=false)"
]}}
else:
query = {"operations": {"actions": [
"create_message",
f"add_qnode(id={node_curie}, category={source_type}, key=FET_n00)",
f"add_qnode(category={adjacent_type}, key=FET_n01)",
f"add_qedge(subject=FET_n00, object=FET_n01, key=FET_e00)",
f"expand(edge_key=FET_e00,kp={kp})",
#"resultify()",
"return(message=true, store=false)"
]}}
try:
result = araxq.query(query)
if result.status != 'OK':
error_message.append(f"Fail to query adjacent nodes from {kp} for {node_curie}")
return error_message
else:
message = araxq.response.envelope.message
tmplist = set([edge_key for edge_key in message.knowledge_graph.edges if message.knowledge_graph[edge_key].subject == node_curie or message.knowledge_graph[edge_key].object == node_curie]) ## edge has no direction
if len(tmplist) == 0:
error_message.append(f"Fail to query adjacent nodes from {kp} for {node_curie}")
return error_message
res = len(tmplist)
return res
except:
tb = traceback.format_exc()
error_type, error, _ = sys.exc_info()
error_message.append((tb, error_type.__name__))
error_message.append(f"Something went wrong with querying adjacent nodes from {kp} for {node_curie}")
return error_message
def query_size_of_adjacent_nodes(self, node_curie, source_type, adjacent_type, kp="ARAX/KG1", rel_type=None, use_cypher_command=False):
"""
Query adjacent nodes of a given source node based on adjacent node type.
:param node_curie: (required) the curie id of query node. It accepts both single curie id or curie id list eg. "UniProtKB:P14136" or ['UniProtKB:P02675', 'UniProtKB:P01903', 'UniProtKB:P09601', 'UniProtKB:Q02878']
:param source_type: (required) the type of source node, eg. "gene"
:param adjacent_type: (required) the type of adjacent node, eg. "biological_process"
:param kp: (optional) the knowledge provider to use, eg. "ARAX/KG1"(default)
:param rel_type: (optional) edge type to consider, eg. "involved_in"
:param use_cypher_command: Boolean (True or False). If True, it used cypher command to the size of query adjacent nodes(default:True)
:return a tuple with a dict containing the number of adjacent nodes for the query node and a list of removed nodes
"""
res = None
if kp=='ARAX/KG2' or kp == 'ARAX/KG2c':
kp="ARAX/KG2"
if use_cypher_command is True:
#create the RTXConfiguration object
rtxConfig = RTXConfiguration()
# Connection information for the neo4j server, populated with orangeboard
if kp=="ARAX/KG1":
driver = GraphDatabase.driver(rtxConfig.neo4j_bolt, auth=basic_auth(rtxConfig.neo4j_username, rtxConfig.neo4j_password))
elif kp=="ARAX/KG2":
rtxConfig.live = "KG2"
driver = GraphDatabase.driver(rtxConfig.neo4j_bolt, auth=basic_auth(rtxConfig.neo4j_username, rtxConfig.neo4j_password))
else:
self.response.error(f"The 'kp' argument of 'query_size_of_adjacent_nodes' method within FET only accepts 'ARAX/KG1' or 'ARAX/KG2' for cypher query right now")
return res
session = driver.session()
# check if node_curie is a str or a list
if type(node_curie) is str:
if not rel_type:
query = f"match (n00:{adjacent_type})-[]-(n01) where n01.id='{node_curie}' with collect(distinct n00.id) as nodes_n00, n01 as node_n01 return node_n01.id as curie, size(nodes_n00) as count"
else:
query = f"match (n00:{adjacent_type})-[:{rel_type}]-(n01) where n01.id='{node_curie}' with collect(distinct n00.id) as nodes_n00, n01 as node_n01 return node_n01.id as curie, size(nodes_n00) as count"
elif type(node_curie) is list:
if not rel_type:
query = f"match (n00:{adjacent_type})-[]-(n01) where n01.id in {node_curie} with collect(distinct n00.id) as nodes_n00, n01 as node_n01 return node_n01.id as curie, size(nodes_n00) as count"
else:
query = f"match (n00:{adjacent_type})-[:{rel_type}]-(n01) where n01.id in {node_curie} with collect(distinct n00.id) as nodes_n00, n01 as node_n01 return node_n01.id as curie, size(nodes_n00) as count"
else:
self.response.error("The 'node_curie' argument of 'query_size_of_adjacent_nodes' method within FET only accepts str or list")
return res
try:
cypher_res = session.run(query)
result = pd.DataFrame(cypher_res.data())
if result.shape[0] == 0:
self.response.error(f"Fail to query adjacent nodes from {kp} for {node_curie}")
return res
else:
res_dict = dict()
has_error = False
if type(node_curie) is str:
res_dict[node_curie] = result['count'][0]
return res_dict
else:
for node in node_curie:
if node in list(result['curie']):
row_ind = list(result['curie']).index(node)
res_dict[node] = result.iloc[row_ind, 1]
else:
self.response.error(f"Fail to query adjacent nodes from {kp} for {node}")
has_error = True
if len(res_dict)==0:
return res
elif has_error is True:
return res
else:
return res_dict
except:
tb = traceback.format_exc()
error_type, error, _ = sys.exc_info()
self.response.error(tb, error_code=error_type.__name__)
self.response.error(f"Something went wrong with querying adjacent nodes from {kp} for {node_curie}")
return res
else:
# construct the instance of ARAXQuery class
araxq = ARAXQuery()
# check if node_curie is a str or a list
if type(node_curie) is str:
query_node_curie = node_curie
elif type(node_curie) is list:
node_id_list_str = "["
for index in range(len(node_curie)):
node = node_curie[index]
if index + 1 == len(node_curie):
node_id_list_str = node_id_list_str + str(node) + "]"
else:
node_id_list_str = node_id_list_str + str(node) + ","
query_node_curie = node_id_list_str
else:
self.response.error(
"The 'node_curie' argument of 'query_size_of_adjacent_nodes' method within FET only accepts str or list")
return res
# call the method of ARAXQuery class to query adjacent node
if rel_type:
query = {"operations": {"actions": [
"create_message",
f"add_qnode(id={query_node_curie}, category={source_type}, key=FET_n00)",
f"add_qnode(category={adjacent_type}, key=FET_n01)",
f"add_qedge(subject=FET_n00, object=FET_n01, key=FET_e00, predicate={rel_type})",
f"expand(edge_key=FET_e00,kp={kp})",
#"resultify()",
"return(message=true, store=false)"
]}}
else:
query = {"operations": {"actions": [
"create_message",
f"add_qnode(id={query_node_curie}, category={source_type}, key=FET_n00)",
f"add_qnode(category={adjacent_type}, key=FET_n01)",
f"add_qedge(subject=FET_n00, object=FET_n01, key=FET_e00)",
f"expand(edge_key=FET_e00,kp={kp})",
#"resultify()",
"return(message=true, store=false)"
]}}
try:
result = araxq.query(query)
if result.status != 'OK':
self.response.error(f"Fail to query adjacent nodes from {kp} for {node_curie}")
return res
else:
res_dict = dict()
message = araxq.response.envelope.message
if type(node_curie) is str:
tmplist = set([edge_key for edge_key in message.knowledge_graph.edges if message.knowledge_graph.edges[edge_key].subject == node_curie or message.knowledge_graph.edges[edge_key].object == node_curie]) ## edge has no direction
if len(tmplist) == 0:
self.response.warning(f"Fail to query adjacent nodes from {kp} for {node_curie} in FET probably because expander ignores node type. For more details, please see issue897.")
return (res_dict,[node_curie])
res_dict[node_curie] = len(tmplist)
return (res_dict,[])
else:
check_empty = False
failure_node = list()
for node in node_curie:
tmplist = set([edge_key for edge_key in message.knowledge_graph.edges if message.knowledge_graph.edges[edge_key].subject == node or message.knowledge_graph.edges[edge_key].object == node]) ## edge has no direction
if len(tmplist) == 0:
self.response.warning(f"Fail to query adjacent nodes from {kp} for {node} in FET probably because expander ignores node type. For more details, please see issue897.")
failure_node.append(node)
check_empty = True
continue
res_dict[node] = len(tmplist)
if check_empty is True:
return (res_dict,failure_node)
else:
return (res_dict,failure_node)
except:
tb = traceback.format_exc()
error_type, error, _ = sys.exc_info()
self.response.error(tb, error_code=error_type.__name__)
self.response.error(f"Something went wrong with querying adjacent nodes from {kp} for {node_curie}")
return res
def _do_arax_query(query: dict) -> List[Union[Response, Message]]:
araxq = ARAXQuery()
response = araxq.query(query)
return [response, araxq.message]
if database == 'COHD':
DSL_queries = cohd_DSL_queries
elif database == 'DTD':
DSL_queries = dtd_DSL_queries
########### Below is the main code to run script ##################
araxq = ARAXQuery()
response = ARAXResponse()
synonymizer = NodeSynonymizer()
target_curie_list = []
check_wrong_queries = []
for index, query in enumerate(DSL_queries):
# print(query)
result = araxq.query(query)
response = araxq.response
if result.status != 'OK':
# print(response.show(level=ARAXResponse.DEBUG))
check_wrong_queries += [index + 1]
else:
message = response.envelope.message
target_curie_list += [
node_key for node_key, _ in message.knowledge_graph.nodes.items()
]
if database == 'DTD':
if len(check_wrong_queries) != 0:
print(
f'Something wrong occurred in these DSL queries {check_wrong_queries}'
)
def QGI_test7():
# This is to test a three hop query with one end pinned (should result in FET ARAXi commands), and actually run the query
input_query_graph = {
"message": {
"query_graph": {
"edges": {
"e00": {
"object": "n01",
"subject": "n00"
},
"e01": {
"object": "n02",
"subject": "n01"
},
"e02": {
"object": "n03",
"subject": "n02"
}
},
"nodes": {
"n00": {
"categories": [
"biolink:ChemicalEntity"
],
"ids": [
"DRUGBANK:DB00150"
]
},
"n01": {
"categories": [
"biolink:Protein"
]
},
"n02": {
"categories": [
"biolink:MolecularActivity"
]
},
"n03": {
"categories": [
"biolink:ChemicalEntity"
]
}
}
}
}
}
#### Create a template Message
response = ARAXResponse()
messenger = ARAXMessenger()
messenger.create_envelope(response)
message = ARAXMessenger().from_dict(input_query_graph['message'])
response.envelope.message.query_graph = message.query_graph
interpreter = ARAXQueryGraphInterpreter()
interpreter.translate_to_araxi(response)
if response.status != 'OK':
print(response.show(level=ARAXResponse.DEBUG))
return response
araxi_commands = response.data['araxi_commands']
for cmd in araxi_commands:
print(f" - {cmd}")
#### Show the final result
# print('-------------------------')
# print(response.show(level=ARAXResponse.DEBUG))
# print(json.dumps(message.to_dict(),sort_keys=True,indent=2))
#### Actually run the query
from ARAX_query import ARAXQuery
import ast
araxq = ARAXQuery()
# Run the query
araxq.query({**input_query_graph, "operations": {"actions": araxi_commands}})
# unpack the response
response = araxq.response
envelope = response.envelope
message = envelope.message # overrides the current message
envelope.status = response.error_code
envelope.description = response.message
# return the message ID
print(f"Returned response id: {envelope.id}")
print('-------------------------')
# print the whole message
# print(json.dumps(ast.literal_eval(repr(envelope)), sort_keys=True, indent=2))
# save message to file (since I can't get the UI working locally for some reason)
with open('QGI_test7.json', 'w', encoding='utf-8') as f:
json.dump(ast.literal_eval(repr(envelope)), f, ensure_ascii=False, indent=4)
