Time Resource
Implements a resource that reports new versions on a configured interval. The
interval can be arbitrarily long.
This resource is built to satisfy "trigger this build at least once every 5
minutes," not "trigger this build on the 10th hour of every Sunday." That
level of precision is better left to other tools.
Source Configuration
-
interval: Optional. The interval on which to report new versions. Valid
units are: “ns”, “us” (or “µs”), “ms”, “s”, “m”, “h”. Examples: 60s, 90m,
1h30m. If not specified, this resource will generate exactly 1 new version
per calendar day on each of the valid days.
-
location: Optional. Default UTC. The
location in
which to interpret start, stop, and days.
e.g.
location: Africa/Abidjan
-
start and stop: Optional. Limit the creation of new versions to times
on/after start and before stop. The supported formats for the times are:
3:04 PM, 3PM, 3PM, 15:04, and 1504. If a start is specified, a
stop must also be specified, and vice versa. If neither value is specified,
both values will default to 00:00 and this resource can generate a new
version (based on interval) at any time of day.
e.g.
start: 8:00 PM
stop: 9:00 PM
Deprecation: an offset may be appended, e.g. +0700 or -0400, but you
should use location instead.
To explicitly represent a full calendar day, set start and stop to
the same value.
e.g.
start: 6:00 AM
stop: 6:00 AM
Note: YAML parsers like PyYAML may parse time values in the 24h format as integers, not strings (e.g. 19:00 is parsed as 1140). If you pre-process your pipeline configuration with such a parser this might trigger a marshaling error. In that case you can quote your start and stop values, so they will be correctly treated as string.
-
days: Optional. Limit the creation of new time versions to the specified
day(s). Supported days are: Sunday, Monday, Tuesday, Wednesday,
Thursday, Friday and Saturday.
e.g.
days: [Monday, Wednesday]
These can be combined to emit a new version on an interval during a particular
time period.
-
initial_version: Optional. When using start and stop as a trigger for
a job, you will be unable to run the job manually until it goes into the
configured time range for the first time (manual runs will work once the time
resource has produced it's first version).
To get around this issue, there are two approaches:
-
Use initial_version: true, which will produce a new version that is
set to the current time, if check runs and there isn't already a version
specified. NOTE: This has a downside that if used with trigger: true, it will
kick off the correlating job when the pipeline is first created, even
outside of the specified window.
-
Alternatively, once you push a pipeline that utilizes start and stop, run the
following fly command to run the resource check from a previous point
in time (see this issue
for 6.x.x+ or this issue
for older Concourse versions).
fly -t <your target> \
check-resource --resource <pipeline>/<your resource>
--from "time:2000-01-01T00:00:00Z" # the important part
This has the benefit that it shouldn't trigger that initial job run, but
will still allow you to manually run the job if needed.
e.g.
initial_version: true
-
start_after: Optional. Specifies the earliest datetime from which new time-based versions can be created.
Supported formats are 2006-01-02 15:04:05, 2006-01-02T15:04:05, 2006-01-02T15:04, 2006-01-02T15, 2006-01-02.
Behavior:
- If the
start_after datetime is specified and is in the future, it will determine when the first version is created.
- If the
start_after datetime is in the past, the resource will continue to generate versions based on the other configuration parameters.
- When
initial_version is set to true, the first version will be created based on the current time. Subsequent versions will only be generated if they fall after the start_after datetime.
- If a
location is provided, the start_after datetime will be interpreted in the context of the specified timezone, rather than in UTC.
e.g.
start_after: 2023-10-01T00:00:00
Behavior
check: Produce timestamps satisfying the interval.
Returns current version and new version only if it has been longer than interval since the
given version, or if there is no version given.
in: Report the given time.
Fetches the given timestamp. Creates three files:
input which contains the request provided by Concourse
timestamp which contains the fetched version in the following format: 2006-01-02 15:04:05.999999999 -0700 MST
epoch which contains the fetched version as a Unix epoch Timestamp (integer only)
Parameters
None.
out: Produce the current time.
Returns a version for the current timestamp. This can be used to record the
time within a build plan, e.g. after running some long-running task.
Parameters
None.
Examples
Periodic trigger
resources:
- name: 5m
type: time
source: {interval: 5m}
jobs:
- name: something-every-5m
plan:
- get: 5m
trigger: true
- task: something
config: # ...
Trigger once within time range
resources:
- name: after-midnight
type: time
source:
start: 12:00 AM
stop: 1:00 AM
location: Asia/Sakhalin
jobs:
- name: something-after-midnight
plan:
- get: after-midnight
trigger: true
- task: something
config: # ...
Trigger on an interval within time range
resources:
- name: 5m-during-midnight-hour
type: time
source:
interval: 5m
start: 12:00 AM
stop: 1:00 AM
location: America/Bahia_Banderas
jobs:
- name: something-every-5m-during-midnight-hour
plan:
- get: 5m-during-midnight-hour
trigger: true
- task: something
config: # ...
Trigger on/after specific datetime set
resources:
- name: time-based-resource
type: time
source:
start_after: 2023-12-01T09:00:00
location: America/New_York
jobs:
- name: process-time-based-resource
plan:
- get: time-based-resource
trigger: true
- task: process-data
config: # ...
Development
Prerequisites
- golang is required - version 1.9.x is tested; earlier versions may also
work.
- docker is required - version 17.06.x is tested; earlier versions may also
work.
- go mod is used for dependency management of the golang packages.
Running the tests
The tests have been embedded with the Dockerfile; ensuring that the testing
environment is consistent across any docker enabled platform. When the docker
image builds, the test are run inside the docker container, on failure they
will stop the build.
Run the tests with the following command:
docker build -t time-resource --target tests .
Contributing
Please make all pull requests to the master branch and ensure tests pass
locally.