msarahan

from argparse import ArgumentParser
import os
import subprocess
import tempfile
from fnmatch import fnmatch

from six import string_types
import yaml

msarahan

@REM Store existing GDAL env vars and set to this conda env
@REM so other GDAL installs don't pollute the environment

@if defined GDAL_DATA (
    set "_CONDA_SET_GDAL_DATA=%GDAL_DATA%"
)
@set "GDAL_DATA=%CONDA_PREFIX%\Library\share\gdal"

@if defined GDAL_DRIVER_PATH (
    set "_CONDA_SET_GDAL_DRIVER_PATH=%GDAL_DRIVER_PATH%"

msarahan

CONDA_RESTORE_FREE_CHANNEL: command not found
(base) msarahan@ubuntu:~$ CONDA_RESTORE_FREE_CHANNEL=1 conda create -n old_python python=3.5.1
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/msarahan/miniconda3/envs/old_python

  added / updated specs:

msarahan

diff --git a/conda/core/subdir_data.py b/conda/core/subdir_data.py
index ec4a60958..cde9b5b75 100644
--- a/conda/core/subdir_data.py
+++ b/conda/core/subdir_data.py
@@ -7,6 +7,7 @@ import bz2
 from collections import defaultdict
 from contextlib import closing
 from errno import EACCES, ENODEV, EPERM, EROFS
+from functools import partial
 from genericpath import getmtime, isfile

msarahan

msarahan

This is an attempt at reproducing behavior in Grafana Tempo where traces are delayed for hours after being submitted.

The files included here are:

• docker-compose.yaml: Runs a tempo, grafana, and jaeger instance to send data to
• .vscode/launch.json: VS Code launch file with configurations for running the parser script to send data to Tempo and to Jaeger
• telemetry-tools-env-vars/telemetry-env-vars: This is where traceparent gets set. We compute it ourselves instead of randomly generating it, so that we can reproduce it in different places rather than carry it around.
• bump_time.py: Used to update timestamps in all_jobs.json so that data is new enough for Tempo to consider it
• all_jobs.json: Job timing information obtained from the GitHub Actions API. The input to the parser.

To run this example: