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import java.lang.ProcessBuilder.Redirect | |
import java.util.concurrent.TimeUnit | |
fun String.runCommand(workingDir: File? = null) { | |
val process = ProcessBuilder(*split(" ").toTypedArray()) | |
.directory(workingDir) | |
.redirectOutput(Redirect.INHERIT) | |
.redirectError(Redirect.INHERIT) | |
.start() | |
if (!process.waitFor(10, TimeUnit.SECONDS)) { |
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version: '2.1' | |
services: | |
grafana: | |
container_name: grafana | |
image: proxx/grafana-armv7 | |
user: "1000" | |
ports: | |
- 3000:3000 | |
volumes: | |
- /opt/grafana:/etc/grafana:rw |
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-- Redis script to implement a leaky bucket | |
-- see https://medium.com/callr-techblog/rate-limiting-for-distributed-systems-with-redis-and-lua-eeea745cb260 | |
-- (c) Florent CHAUVEAU <[email protected]> | |
local ts = tonumber(ARGV[1]) | |
local cps = tonumber(ARGV[2]) | |
local key = KEYS[1] | |
-- remove tokens < min (older than now() -1s) | |
local min = ts -1 |
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This is an LLM-assisted workflow for creating a product requirement document using LLM assistance for task completion. | |
It keeps track of inputs for the template and works with the user to acquire them, finally generating a completed PRD | |
prompt when all slots are addressed. | |
credit: Ian Nuttall - https://gist.github.com/iannuttall/f3d425ad5610923a32397a687758ebf2 | |
**System-Prompt for Facilitating Chat-Based PRD Creation** |
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