Add a simple python script to stream logs from google cloud.

google_cloud_logging/log_stream/log_stream/log_stream.py

@@ -0,0 +1,100 @@
+from collections import deque
+from datetime import datetime, timezone
+from logging import getLogger
+from typing import Callable, Final
+import requests
+
+BATCH_SIZE: Final[int] = 1000
+REQ_TIMEOUT: Final[int] = 60
+logger = getLogger("LogStream")
+
+
+class LogStream:
+    _query: str
+    _project: str
+    _start_date: datetime
+    _end_date: datetime
+    _buffer: deque[dict]
+    _finished: bool
+    _next_page_token: str | None
+    _session: requests.Session
+    _access_token: Callable[[], str]
+
+    def __init__(
+        self,
+        query: str,
+        project: str,
+        start_date: datetime,
+        end_date: datetime | None,
+        access_token: Callable[[], str],
+    ) -> None:
+        self._query = query
+        self._project = project
+        self._start_date = start_date
+        self._end_date = (
+            end_date if end_date is not None else datetime.now(timezone.utc)
+        )
+        self._buffer = deque(maxlen=BATCH_SIZE)
+        self._finished = False
+        self._next_page_token = None
+        self._session = requests.Session()
+        self._access_token = access_token
+
+    def __iter__(self):
+        return self
+
+    def __next__(self):
+        if len(self._buffer) == 0 and not self._finished:
+            self._populate_buffer()
+
+        if len(self._buffer) == 0:
+            self._finished = True
+            raise StopIteration()
+
+        return self._buffer.popleft()
+
+    def _populate_buffer(self):
+        data = {
+            "filter": "\n".join((self._get_timestamp_filter(), self._query)),
+            "orderBy": "timestamp desc",
+            "pageSize": BATCH_SIZE,
+            "resourceNames": [f"projects/{self._project}"],
+        }
+        if self._next_page_token is not None:
+            data["pageToken"] = self._next_page_token
+        headers = {
+            "Authorization": f"Bearer {self._access_token()}",
+            "x-goog-user-project": self._project,
+        }
+        req = requests.Request(
+            "POST",
+            "https://logging.googleapis.com/v2/entries:list",
+            data=data,
+            headers=headers,
+        )
+        prepared = self._session.prepare_request(req)
+        logger.info(f"Sending a request to {prepared.url}")
+        response = self._session.send(
+            prepared,
+            timeout=REQ_TIMEOUT,
+        )
+        response.raise_for_status()
+        response_body = response.json()
+        if (token := response_body.get("nextPageToken")) is not None:
+            self._next_page_token = token
+        else:
+            self._finished = True
+            self._next_page_token = None
+
+        self._buffer.extend(response_body.get("entries", []))
+
+    def _get_timestamp_filter(self) -> str:
+        time_format = "%Y-%m-%dT%H:%M:%S.%fZ"
+        self._start_date.isoformat()
+        # TODO: convert start/end date to UTC
+        start = self._start_date.strftime(time_format)
+        end = self._end_date.strftime(time_format)
+        return f"""
+        timestamp>="{start}"
+        timestamp<="{end}"
+        """

google_cloud_logging/log_stream/log_stream/main.py

@@ -0,0 +1,52 @@
+from datetime import datetime, timezone, timedelta
+import logging
+import logging.config
+import json
+import os
+
+from error_leaderboard.log_stream import LogStream
+
+
+def main():
+    setup_logging()
+    log_query = """
+    severity>="ERROR"
+    """
+    now = datetime.now(timezone.utc)
+    one_week_ago = now - timedelta(days=7)
+    project = os.environ.get("CLOUDSDK_CORE_PROJECT")
+    assert isinstance(project, str)
+    access_token = os.environ.get("ACCESS_TOKEN")
+    assert isinstance(access_token, str)
+    logs = LogStream(log_query, project, one_week_ago, now, lambda: access_token)
+    for log in logs:
+        print(json.dumps(log))
+
+
+def setup_logging():
+    logging_config = {
+        "version": 1,
+        "disable_existing_loggers": False,
+        "formatters": {
+            "regular": {
+                "format": "%(asctime)s %(name)-12s %(levelname)-8s %(message)s",
+            }
+        },
+        "handlers": {
+            "console": {
+                "class": "logging.StreamHandler",
+                "level": "INFO",
+                "formatter": "regular",
+            }
+        },
+        "root": {
+            "handlers": ["console"],
+            "level": "INFO",
+        },
+        "loggers": {"LogStream": {"level": "WARNING"}},
+    }
+    logging.config.dictConfig(logging_config)
+
+
+if __name__ == "__main__":
+    main()

google_cloud_logging/log_stream/poetry.lock

@@ -0,0 +1,300 @@
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+description = "Internationalized Domain Names in Applications (IDNA)"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
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+
+[[package]]
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+description = "Type system extensions for programs checked with the mypy type checker."
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+python-versions = ">=3.5"
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+optional = false
+python-versions = ">=3.7"
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+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
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+
+[[package]]
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+
+[package.extras]
+socks = ["PySocks (>=1.5.6,!=1.5.7)"]
+use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
+
+[[package]]
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+
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+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
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+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
+
+[metadata]
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google_cloud_logging/log_stream/pyproject.toml

@@ -0,0 +1,16 @@
+[tool.poetry]
+name = "log-stream"
+version = "0.0.0"
+description = "Stream logs from google cloud logging into python."
+authors = []
+
+[tool.poetry.dependencies]
+python = ">=3.11"
+requests = "^2.32.3"
+
+[tool.poetry.group.dev.dependencies]
+black = "^24.1.1"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

google_cloud_logging/queries/kubernetes/oom

@@ -0,0 +1 @@
+"OOMKilling"

google_cloud_logging/queries/vertex_ai_agent_builder/get_requests_for_engines

@@ -0,0 +1 @@
+textPayload=~"HTTP Request: POST https://us-discoveryengine.googleapis.com/[^\s/]+/projects/[^\s/]+/locations/us/collections/[^\s/]+/engines/[^\s/]+/"

metrics_explorer/over_provisioned/cloud_run_job/notes.org

@@ -0,0 +1,21 @@
+* Metrics Explorer PromQL Queries
+** Cloud Run Job Memory Utilization
+Line is a percent of memory usage.
+#+begin_src text
+  histogram_quantile(0.99,sum by (job_name,le)(increase(run_googleapis_com:container_memory_utilizations_bucket{monitored_resource="cloud_run_job"}[${__interval}])))
+#+end_src
+** Memory usage bytes
+#+begin_src text
+  histogram_quantile(0.50,sum_over_time(run_googleapis_com:container_memory_usage_bucket{monitored_resource="cloud_run_job"}[${__interval}]))
+#+end_src
+** Memory allocation
+#+begin_src text
+  sum by (job_name)(rate(run_googleapis_com:container_memory_allocation_time{monitored_resource="cloud_run_job"}[${__interval}]))
+#+end_src
+** Difference
+#+begin_src text
+  sum by (job_name)(
+      rate(run_googleapis_com:container_memory_allocation_time{monitored_resource="cloud_run_job"}[${__interval}])
+      - rate(run_googleapis_com:container_memory_usage_bucket{monitored_resource="cloud_run_job"}[${__interval}])
+      )
+#+end_src

metrics_explorer/pod_memory_limit/promql

@@ -0,0 +1 @@
+sum by (pod_name)(avg_over_time(kubernetes_io:container_memory_limit_bytes{monitored_resource="k8s_container",container_name=~".*airflow-worker.*"}[${__interval}]))