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‎.github/workflows/prompts-docker.yml‎

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name: Build and Push Prompts Docker Image
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on:
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push:
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branches:
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- main
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up QEMU
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uses: docker/setup-qemu-action@v3
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Login to Docker Hub
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uses: docker/login-action@v3
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with:
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username: ${{ secrets.TEMP_DOCKER_USERNAME }}
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password: ${{ secrets.TEMP_DOCKER_PAT }}
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- name: Build and push
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uses: docker/build-push-action@v5
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with:
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platforms: linux/amd64,linux/arm64
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push: true
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tags: vonwig/prompts:latest

‎.gitignore‎

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**/.direnv/
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**/result
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.clj-kondo
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.lsp

‎Dockerfile‎

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FROM babashka/babashka:latest@sha256:4bc4beea38406782845ae8effaa9bd2f45345d46a4290ea4c96037970a0ca430 AS bb
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FROM bb AS base
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RUN <<EOF
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apt-get update
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apt-get install -y git
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EOF
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FROM eclipse-temurin:latest@sha256:ac1545309de7e27001a80d91df2d42865c0bacaec75e016cb4482255d7691187 AS build
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WORKDIR /app
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COPY --from=bb /usr/local/bin/bb /usr/local/bin/bb
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COPY bb.edn bb.edn
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COPY ./src ./src
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RUN bb uberjar prompts.jar -m prompts
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FROM base
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WORKDIR /app
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COPY --from=build /app/prompts.jar /app/prompts.jar
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COPY prompts/docker docker
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COPY prompts/npm_setup npm_setup
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COPY prompts/lazy_docker lazy_docker
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# Can't be shell form because we need to pass JSON as an arg
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ENTRYPOINT [ "bb", "/app/prompts.jar" ]

‎README.md‎

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## Running Prompts
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To generate prompts for a project, clone a repo into `$PWD` and run the
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following command.
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```sh
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docker run --rm \
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-v /var/run/docker.sock:/var/run/docker.sock \
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--mount type=volume,source=docker-prompts,target=/prompts \
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vonwig/prompts:latest $PWD \
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jimclark106 \
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darwin \
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"github:docker/labs-make-runbook?ref=main&path=prompts/lazy_docker"
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```
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The four arguments are
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* `project root dir on host`,
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* `docker login username`,
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* `platform`,
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* `github ref` for prompt files.
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If you need to test prompts before you push, you can bind a local prompt directory instead of using
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a GitHub ref. For example, to test some local prompts in a directory named `my_prompts`, run:
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```sh
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docker run --rm \
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-v /var/run/docker.sock:/var/run/docker.sock \
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--mount type=bind,source=$PWD,target=/app/my_prompts \
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--workdir /app
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vonwig/prompts:latest $PWD \
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jimclark106 \
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darwin \
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my_prompts
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```
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## Running a Conversation Loop
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```sh
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docker run --rm \
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-it \
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-v /var/run/docker.sock:/var/run/docker.sock \
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--mount type=volume,source=docker-prompts,target=/prompts \
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--mount type=bind,source=$HOME/.openai-api-key,target=/root/.openai-api-key \
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vonwig/prompts:latest \
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run \
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$PWD \
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$USER \
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"$(uname -o)" \
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"github:docker/labs-githooks?ref=main&path=prompts/git_hooks"
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```
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### Running a Conversation Loop with Local Prompts
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If you want to run a conversation loop with local prompts then you need to think about two different directories, the one that the root of your project ($PWD above),
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and the one that contains your prompts (let's call that $PROMPTS_DIR). Here's a command line for running the prompts when our $PWD is the project root and we've set the environment variable
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$PROMPTS_DIR to point at the directory containing our prompts.
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```sh
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docker run --rm \
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-it \
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-v /var/run/docker.sock:/var/run/docker.sock \
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--mount type=bind,source=$PROMPTS_DIR,target=/app/my_prompts \
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--workdir /app
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--mount type=volume,source=docker-prompts,target=/prompts \
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--mount type=bind,source=$HOME/.openai-api-key,target=/root/.openai-api-key \
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vonwig/prompts:latest \
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run \
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$PWD \
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$USER \
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"$(uname -o)" \
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my_prompts
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```
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## GitHub refs
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Prompts are fetched from a GitHub repository. The mandatory parts of the ref are `github:{owner}/{repo}`
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but optional `path` and `ref` can be added to pull prompts from branches, and to specify a subdirectory
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where the prompt files are located in the repo.
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### Prompt file layout
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Each prompt directory should contain a README.md describing the prompts and their purpose. Each prompt file
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is a markdown document that supports moustache templates for subsituting context extracted from the project.
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```
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prompt_dir/
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├── 010_system_prompt.md
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├── 020_user_prompt.md
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└── README.md
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```
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* ordering of messages is determined by filename sorting
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* the role is encoded in the name of the file
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### Moustache Templates
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The prompt templates can contain expressions like {{dockerfiles}} to add information
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extracted from the current project. Examples of facts that can be added to the
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prompts are:
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* `{{platform}}` - the platform of the current development environment.
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* `{{username}}` - the DockerHub username (and default namespace for image pushes)
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* `{{languages}}` - names of languages discovered in the project.
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* `{{project.dockerfiles}}` - the relative paths to local DockerFiles
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* `{{project.composefiles}}` - the relative paths to local Docker Compose files.
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The entire `project-facts` map is also available using dot-syntax
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forms like `{{project-facts.project-root-uri}}`. All moustache template
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expressions documented [here](https://github.com/yogthos/Selmer) are supported.
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## Building
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```sh
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#docker:command=build
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docker build -t vonwig/prompts:local -f Dockerfile .
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```
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‎bb.edn‎

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{:paths ["src" "dev"]
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:deps {markdown-clj/markdown-clj {:mvn/version "1.12.1"}
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pogonos/pogonos {:mvn/version "0.2.1"}
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dev.weavejester/medley {:mvn/version "1.8.0"}
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io.replikativ/hasch {:mvn/version "0.3.94"}}}

‎dev/clean_local_images.clj‎

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(ns clean-local-images
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(:require [docker]
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[clojure.pprint :refer [pprint]]))
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(def images
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#{"vonwig/prompts:latest"
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"vonwig/github-cli"
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"vonwig/function_write_file"
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"vonwig/docker_scout_tag_recommendation"
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"vonwig/extractor-node"
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"vonwig/go-linguist"
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"vonwig/codescope"
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"vonwig/pre-commit"
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"markdownlint/markdownlint"
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"hadolint/hadolint"})
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(comment
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(docker/delete-image {:image "vonwig/function_write_files"}))
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(defn repo? [images]
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(fn [tag-or-digest]
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(some (fn [image] (.startsWith tag-or-digest image)) images)))
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(defn -main []
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(println
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(->> (docker/images {})
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#_(map #(concat (:RepoTags %) (:RepoDigests %)))
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(filter #(some (repo? images) (concat (:RepoTags %) (:RepoDigests %))))
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(map :Id)
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(map #(docker/delete-image {:image %})))))
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(comment
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(pprint (docker/images {}))
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)
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‎dev/ollama.clj‎

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(ns dev.ollama
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(:require
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[prompts]
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[babashka.curl :as curl]
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[babashka.process :as p]
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[cheshire.core :as json]
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[clojure.pprint :as pprint]
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[selmer.parser :as selmer.parser]
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[clojure.string :as string]))
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(def x (p/process
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{:out :string :err :string}
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"docker"
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"run"
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"--rm"
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"vonwig/prompts"
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"{}" "jimclark106" "darwin"))
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(def f "/Users/slim/docker/genai-stack/")
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(def x (p/process
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{:out :string :err :string}
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"docker"
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"run"
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"--rm"
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"--interactive"
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"--init"
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"--mount" "type=volume,source=docker-lsp,target=/docker"
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"--mount" (format "type=bind,source=%s,target=/project" f)
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"--entrypoint" "/app/result/bin/docker-lsp"
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"docker/lsp:staging"
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"project-facts"
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"--workspace" "/docker"
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"--vs-machine-id" "none"))
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(def y (p/process
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{:out :string :err :string :extra-env {"DOCKER_LSP" "nix"}}
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"nix"
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"run"
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"/Users/slim/docker/lsp#clj"
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"project-facts"
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"--"
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"--pod-exe-path" "/Users/slim/docker/babashka-pod-docker/result/bin/entrypoint"
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"--workspace" "/Users/slim/.docker"
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"--project-root" f
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"--vs-machine-id" "none"))
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(def project-facts
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(-> y
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(deref)
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:out
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(json/parse-string keyword)))
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(pprint/pprint project-facts)
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(prompts/prompts (json/generate-string (dissoc project-facts :project/dockerfiles)) "jimclark106" "darwin")
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(defn ollama [messages]
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(->
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(curl/post "http://localhost:11434/v1/chat/completions"
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{:body (json/generate-string
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{:model "llama3"
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:temperature 0.1
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:messages messages})})
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:body
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(json/parse-string keyword)))
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(def api-key "")
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(defn openai [messages]
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(->
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(curl/post "https://api.openai.com/v1/chat/completions"
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{:headers {"Authorization" (format "Bearer %s" api-key)
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"Content-Type" "application/json"}
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:throw false
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:body (json/generate-string
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{:model "gpt-4"
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:temperature 0.1
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:messages messages})})
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:body
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(json/parse-string keyword)))
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(-> (with-out-str (prompts/prompts
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(json/generate-string project-facts)
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"jimclark106"
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"darwin"))
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(json/parse-string keyword)
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(openai)
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;:choices
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;first
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;:message
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;:content
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;println
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)
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‎functions/codescope/.direnv/flake-profile‎

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flake-profile-1-link

‎functions/codescope/.direnv/flake-profile-1-link‎

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/nix/store/aq253zh53pswib3bf6xcr6fzjbk45kb5-python-env

‎functions/codescope/.envrc‎

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use flake

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