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feat: add filter time query #826

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Merged
CarltonXiang merged 2 commits into from
Jan 6, 2026
Merged

feat: add filter time query #826

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3bbd63e
feat: add filter time query
wustzdy Jan 6, 2026
538ae30
Merge remote-tracking branch 'refs/remotes/origin/dev' into dev_zdy_0…
wustzdy Jan 6, 2026
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62 changes: 50 additions & 12 deletions src/memos/graph_dbs/polardb.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4333,15 +4333,29 @@ def build_cypher_filter_condition(condition_dict: dict) -> str:
cypher_op_map = {"gt": ">", "lt": "<", "gte": ">=", "lte": "<="}
cypher_op = cypher_op_map[op]

# Check if key is a datetime field
is_datetime = key in ("created_at", "updated_at") or key.endswith(
"_at"
)

# Check if key starts with "info." prefix (for nested fields like info.A, info.B)
if key.startswith("info."):
# Nested field access: n.info.field_name
info_field = key[5:] # Remove "info." prefix
is_info_datetime = info_field in (
"created_at",
"updated_at",
) or info_field.endswith("_at")
if isinstance(op_value, str):
escaped_value = escape_cypher_string(op_value)
condition_parts.append(
f"n.info.{info_field} {cypher_op} '{escaped_value}'"
)
if is_info_datetime:
condition_parts.append(
f"n.info.{info_field}::timestamp {cypher_op} '{escaped_value}'::timestamp"
)
else:
condition_parts.append(
f"n.info.{info_field} {cypher_op} '{escaped_value}'"
)
else:
condition_parts.append(
f"n.info.{info_field} {cypher_op} {op_value}"
Expand All @@ -4350,9 +4364,14 @@ def build_cypher_filter_condition(condition_dict: dict) -> str:
# Direct property access (e.g., "created_at" is directly in n, not in n.info)
if isinstance(op_value, str):
escaped_value = escape_cypher_string(op_value)
condition_parts.append(
f"n.{key} {cypher_op} '{escaped_value}'"
)
if is_datetime:
condition_parts.append(
f"n.{key}::timestamp {cypher_op} '{escaped_value}'::timestamp"
)
else:
condition_parts.append(
f"n.{key} {cypher_op} '{escaped_value}'"
)
else:
condition_parts.append(f"n.{key} {cypher_op} {op_value}")
elif op == "=":
Expand Down Expand Up @@ -4676,15 +4695,29 @@ def build_filter_condition(condition_dict: dict) -> str:
sql_op_map = {"gt": ">", "lt": "<", "gte": ">=", "lte": "<="}
sql_op = sql_op_map[op]

# Check if key is a datetime field
is_datetime = key in ("created_at", "updated_at") or key.endswith(
"_at"
)

# Check if key starts with "info." prefix (for nested fields like info.A, info.B)
if key.startswith("info."):
# Nested field access: properties->'info'->'field_name'
info_field = key[5:] # Remove "info." prefix
is_info_datetime = info_field in (
"created_at",
"updated_at",
) or info_field.endswith("_at")
if isinstance(op_value, str):
escaped_value = escape_sql_string(op_value)
condition_parts.append(
f"ag_catalog.agtype_access_operator(VARIADIC ARRAY[properties, '\"info\"'::ag_catalog.agtype, '\"{info_field}\"'::ag_catalog.agtype]) {sql_op} '\"{escaped_value}\"'::agtype"
)
if is_info_datetime:
condition_parts.append(
f"TRIM(BOTH '\"' FROM ag_catalog.agtype_access_operator(VARIADIC ARRAY[properties, '\"info\"'::ag_catalog.agtype, '\"{info_field}\"'::ag_catalog.agtype)::text)::timestamp {sql_op} '{escaped_value}'::timestamp"
)
else:
condition_parts.append(
f"ag_catalog.agtype_access_operator(VARIADIC ARRAY[properties, '\"info\"'::ag_catalog.agtype, '\"{info_field}\"'::ag_catalog.agtype]) {sql_op} '\"{escaped_value}\"'::agtype"
)
else:
# For non-string values (numbers, booleans, etc.), convert to JSON string and then to agtype
value_json = json.dumps(op_value)
Expand All @@ -4695,9 +4728,14 @@ def build_filter_condition(condition_dict: dict) -> str:
# Direct property access (e.g., "created_at" is directly in properties, not in properties.info)
if isinstance(op_value, str):
escaped_value = escape_sql_string(op_value)
condition_parts.append(
f"ag_catalog.agtype_access_operator(properties, '\"{key}\"'::agtype) {sql_op} '\"{escaped_value}\"'::agtype"
)
if is_datetime:
condition_parts.append(
f"TRIM(BOTH '\"' FROM ag_catalog.agtype_access_operator(properties, '\"{key}\"'::agtype)::text)::timestamp {sql_op} '{escaped_value}'::timestamp"
)
else:
condition_parts.append(
f"ag_catalog.agtype_access_operator(properties, '\"{key}\"'::agtype) {sql_op} '\"{escaped_value}\"'::agtype"
)
else:
# For non-string values (numbers, booleans, etc.), convert to JSON string and then to agtype
value_json = json.dumps(op_value)
Expand Down