import { Command } from "@cliffy/command";
import { fetchSchema } from "./commands/fetchSchema.ts";
import { generateSiSpecs } from "./commands/generateSiSpecs.ts";
import { generateTarFromSpec } from "./commands/generateTarFromSpec.ts";
import { inferAi } from "./commands/inferAi.ts";
import type { Provider } from "./types.ts";
const DEFAULT_MODULE_INDEX_URL = "http://0.0.0.0:5157";
export async function run() {
const command = new Command()
.name("clover")
.version("0.1.0")
.description("Asset Pipeline for AWS Cloud Control")
.globalEnv(
"LOG_LEVEL=<value:string>",
"Set the log level; defaults to info",
)
.action(() => {
command.showHelp();
Deno.exit(1);
})
// fetch-schema
.command(
"fetch-schema",
"Getch cloudformation schema from aws.",
)
.option(
"-p, --provider=[provider]",
"The specific provider to generate specs for",
{
required: true,
},
)
.action(async (options) => {
await fetchSchema(options.provider as Provider);
})
// generate-specs
.command(
"generate-specs [...services:string]",
`Generate the si spec database from the cf database.
To generate all specs:
clover generate-specs
To generate all specs containing "ECS" or "S3", you can pass some services as arguments:
clover generate-specs ECS S3
`,
)
.option("--inferred <file:string>", "Inferred database location", {
default: "inferred.json",
})
.option("--doc-link-cache <file:string>", "Cache of doc link status", {
default: "doc-link-cache.json",
})
.option(
"--force-update-existing-packages",
"Force the existing package list to be updated",
)
.option(
"-p, --provider=[provider]",
"The specific provider to generate specs for",
{
required: true,
},
)
.env(
"SI_BEARER_TOKEN=<value:string>",
"Auth token for interacting with the module index",
{ required: true },
)
.env(
"SI_MODULE_INDEX_URL=<value:string>",
"Set the module index url; defaults to http://0.0.0.0:5157",
{ prefix: "SI_" },
)
.action(async (options, ...services: string[]) => {
await generateSiSpecs(
{
...options,
provider: options.provider as Provider,
moduleIndexUrl: options.moduleIndexUrl ?? DEFAULT_MODULE_INDEX_URL,
services: services?.length > 0 ? services : undefined,
},
);
})
// infer-ai
.command(
"infer-ai [...services:string]",
`Prompt the AI to give existing Cloud Formation specs based on their descriptions.
To run inference on all specs:
clover infer-ai
To run inference on all specs whose type names contain "ECS" or "S3", you can pass some services as arguments:
clover infer-ai ECS S3
By default, the AI will only run inference for things that have not already been inferred. To
force the AI to re-infer all specs, pass the --force flag.
`,
)
.option("--force", "Force re-inference on cached values")
.option("--inferred <file:string>", "Inferred database location", {
default: "inferred.json",
})
.env(
"OPENAI_API_KEY=<value:string>",
"OpenAI AI token",
{ required: true },
)
.action(async (options, ...services: string[]) => {
await inferAi({
...options,
services: services?.length > 0 ? services : undefined,
});
})
// generate-tars
.command(
"generate-tars",
"Generate tar packages from the spec files in si-specs",
)
.action(async () => {
await generateTarFromSpec();
});
await command.parse(Deno.args);
}
