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mcp issues

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This commit is contained in:
larssand
2026-06-30 12:47:31 +02:00
parent 86065eca59
commit c76e260516
5 changed files with 55 additions and 30 deletions
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31
src/fgai/graylog_aggregate.py
View File

@@ -69,20 +69,23 @@ class GraylogAggregateSource:
self.stream = stream
self.query = query or "*"
def fetch_count(self, *, range_seconds: int = 300) -> dict[str, object]:
try:
status = self.client.probe()
except RuntimeError as exc:
return {
"status": "error",
"source": "graylog_mcp_aggregate",
"aggregate_status": "error",
"aggregate_events": 0,
"aggregate_records": 0,
"aggregate_error": f"probe_error: {exc}",
"aggregate_errors": [f"probe_error: {exc}"],
"aggregate_schema_properties": [],
}
def fetch_count(self, *, range_seconds: int = 300, probe_status: dict[str, object] | None = None) -> dict[str, object]:
if probe_status is not None:
status = dict(probe_status)
else:
try:
status = self.client.probe()
except RuntimeError as exc:
return {
"status": "error",
"source": "graylog_mcp_aggregate",
"aggregate_status": "error",
"aggregate_events": 0,
"aggregate_records": 0,
"aggregate_error": f"probe_error: {exc}",
"aggregate_errors": [f"probe_error: {exc}"],
"aggregate_schema_properties": [],
}
tool_schemas = status.get("tool_schemas", {}) if isinstance(status.get("tool_schemas"), dict) else {}
aggregate_schema = tool_schemas.get("aggregate_messages", {}) if isinstance(tool_schemas, dict) else {}
properties = _schema_properties(aggregate_schema)

31
src/fgai/graylog_source.py
View File

@@ -45,20 +45,23 @@ class GraylogStreamSource:
if not isinstance(self.mapping, dict):
raise RuntimeError("invalid_graylog_field_mapping")
def fetch(self, *, max_events: int = 5_000, range_seconds: int = 300) -> tuple[list[LogEvent], dict[str, object]]:
try:
status = self.client.probe()
except RuntimeError as exc:
return [], {
"status": "error",
"source": "graylog_mcp",
"events_fetched": 0,
"pages": 0,
"partial": True,
"error": f"probe_error: {exc}",
"truncated": False,
"latest_event_time": "",
}
def fetch(self, *, max_events: int = 5_000, range_seconds: int = 300, probe_status: dict[str, object] | None = None) -> tuple[list[LogEvent], dict[str, object]]:
if probe_status is not None:
status = dict(probe_status)
else:
try:
status = self.client.probe()
except RuntimeError as exc:
return [], {
"status": "error",
"source": "graylog_mcp",
"events_fetched": 0,
"pages": 0,
"partial": True,
"error": f"probe_error: {exc}",
"truncated": False,
"latest_event_time": "",
}
mapping_fields = [str(value) for value in self.mapping.values() if isinstance(value, str)]
arguments: dict[str, object] = {
"query": self.query,

6
src/fgai/monitor.py
View File

@@ -144,6 +144,8 @@ def build_status(
fetch_mode = str(runtime_values.get("graylog_fetch_mode", "auto") or "auto")
use_aggregate = fetch_mode == "aggregate" or (fetch_mode == "auto" and max_events_per_stream > raw_sample_events)
aggregate_events_total = 0
client = GraylogMcpClient(url, token, verify_tls=verify_tls)
probe_status = client.probe()
for stream_config in stream_configs:
stream_id = str(stream_config["id"])
profile = stream_profiles.get(stream_id)
@@ -157,10 +159,10 @@ def build_status(
stream_name = str(stream_config.get("title", "") or stream_titles.get(stream_id) or stream_id)
aggregate_status: dict[str, object] = {}
if use_aggregate:
aggregate_status = GraylogAggregateSource(GraylogMcpClient(url, token, verify_tls=verify_tls), stream_id, str(runtime_values.get("graylog_query", "*"))).fetch_count(range_seconds=range_seconds)
aggregate_status = GraylogAggregateSource(client, stream_id, str(runtime_values.get("graylog_query", "*"))).fetch_count(range_seconds=range_seconds, probe_status=probe_status)
aggregate_events_total += int(aggregate_status.get("aggregate_events", 0) or 0)
raw_limit = min(raw_sample_events, 10_000) if use_aggregate else max_events_per_stream
stream_events, stream_status = GraylogStreamSource(GraylogMcpClient(url, token, verify_tls=verify_tls), stream_id, str(runtime_values.get("graylog_query", "*")), str(runtime_values.get("graylog_field_mapping", "")), stream_name, profile_fields).fetch(max_events=raw_limit, range_seconds=range_seconds)
stream_events, stream_status = GraylogStreamSource(client, stream_id, str(runtime_values.get("graylog_query", "*")), str(runtime_values.get("graylog_field_mapping", "")), stream_name, profile_fields).fetch(max_events=raw_limit, range_seconds=range_seconds, probe_status=probe_status)
events.extend(stream_events)
stream_statuses.append({"stream_id": stream_id, "stream_name": stream_name, **aggregate_status, **stream_status, "raw_sample_limit": raw_limit})
sample_limited_streams = [item for item in stream_statuses if item.get("truncated") and use_aggregate]