qaws - Query AWS Logs

Command line utility for search in AWS CloudWatch Logs with Insights queries and flexible time ranges.

1. Install latest via pip: https://pypi.org/project/qaws.
2. You need Python 3.8 (you can try lower version - not tested)
3. Ensure you have you Python's Bin directory in $PATH
4. Execute "qaws" in your command line.

Status

Improvement proposals

1. Wildcard should guarantee case insesitive name for group.
2. Default walue for -t set to 1 day.
3. Default value for -q set to "fields @timestamp, @message | limit 9999"
4. Add switch to display group names in output.
5. Default value for -g set to all groups?
6. Workaround group amount limit?
7. Workaround "limit 9999" limit?
8. Set License to beer license?
9. Validate users input.
10. Print qaws output during querying with prefix "qaws>" so it can be greped-out
11. Print how query looks like to output.

Manual

NAME
    qaws -- Query AWS CloudWatch logs
SYNOPSIS
    qaws    [-g groups...]
            [-t starttime | starttime endtime]
            [-q query]
DESCRIPTION
    -h --help
        Get this manual.
    -g --groups groups ...
        Specify 1 to N logging groups like "/ecs/someservice1". Wildcard * can be used like "*ecs*some*1".
        If you specify only -g flag then it will print all groups in CloudWatch
    -t --time starttime | starttime endtime
        Specify starttime in history to more recent endtime in present.
        Possible formats for time specification is:
            ISO time:           "2000-01-01T00:00:00"
            Epoch in seconds:   "1590314700"
            Time relative to Now:
                "1h"                    1 hour ago
                "1h 60m"                2 hours ago
                "1h 60m 3600s"          3 hours ago
                "3600s 60m 1h"          3 hours ago as well (order doesn't matter)
                "3600s 3600s 3600s"     3 hours ago as well (items are repeatable)
                "1y 1mo 1w 1d 1h 1m 1s" is possible as well
    -g --query query
        Query exactly as it is usually written in AWS CloudWatch Insights in Web Console:
            fields @timestamp, @message
            | filter @message like 'event'
            | limit 10"

    - It can take few minutes (~2 minutes) until logs appears in CloudWatch and therefore fetching logs
        with '-t "1m"' may not return any results
    - Even if you set '|limit 1' in --query then CloudWatch will anyway search over entire specified e.g. '-t "10d"'
        history which can take lot of time
    - When you use wildcard * in group names then it will take longer to finish query as all the log group names has to be fetched from AWS
EXAMPLES
    - Prints all log groups in CloudWatch:
        qaws \\
            --groups
    - Prints all log groups in CloudWatch matching wildcard:
        qaws \\
            --groups "*service*"
    - Basic querying:
        qaws \\
            --groups      "/ecs/myservice0" \\
            --time        "1h" \\
            --query       "fields @message"
    - Multiple groups specified with one containing wildcard:
        qaws \\
            --groups      "*ecs*service0" "/ecs/myservice1" "/ecs/myservice2" \\
            --time        "1d 1h 30m" \\
            --query       "fields @message"
    - Query logs in between past 5 and 1 hour with wildcard:
        qaws \\
            --groups      "/ecs/*" \\
            --time        "5h" "1h" \\
            --query       "fields @timestamp @message | filter @message like 'event' | limit 9000"
    - Query logs in between two ISO dates:
        qaws \\
            --groups      "/ecs/*" \\
            --time        "2020-05-24T00:00:00" "2020-05-24T12:00:00" \\
            --query       "fields @message | filter @message like 'event' | limit 9000"
    - Combine relative time with ISO date:
        qaws \\
            --groups      "/ecs/*" \\
            --time        "1y" "2020-05-24T00:00:00" \\
            --query       "fields @message | filter @message like 'event' | limit 9000"
AUTHORS
    Jiri Kacirek (kacirek.j@gmail.com) 2020
IMPLEMENTATION
    Python 3.8