From 339e7af410548b92750bb44dba8423a246ff00a7 Mon Sep 17 00:00:00 2001 From: Maxwell Brown Date: Fri, 29 Mar 2024 17:44:01 -0400 Subject: [PATCH] add openai cli example --- .vscode/settings.json | 46 +- cli-openai/.envrc | 1 + cli-openai/.eslintrc.cjs | 79 + cli-openai/.gitignore | 12 + cli-openai/.gitpod.yml | 3 + cli-openai/LICENSE | 21 + cli-openai/README.md | 15 + cli-openai/docker-compose.yml | 49 + cli-openai/effect.md | 514 ++ cli-openai/fixtures/effect.md | 514 ++ cli-openai/flake.lock | 61 + cli-openai/flake.nix | 38 + cli-openai/infra/grafana/dashboards.yaml | 11 + .../infra/grafana/dashboards/dashboard.json | 351 + cli-openai/infra/grafana/datasources.yaml | 38 + cli-openai/infra/grafana/grafana.ini | 2 + cli-openai/infra/prometheus/prometheus.yaml | 15 + cli-openai/infra/tempo/tempo.yaml | 76 + cli-openai/package.json | 78 + cli-openai/pnpm-lock.yaml | 6526 +++++++++++++++++ cli-openai/scripts/version.mjs | 9 + cli-openai/scripts/version.template.txt | 1 + cli-openai/src/AIContext.ts | 92 + cli-openai/src/Cli.ts | 194 + cli-openai/src/Completions.ts | 102 + cli-openai/src/DocumentChunker.ts | 113 + cli-openai/src/Embeddings.ts | 88 + cli-openai/src/OpenAI.ts | 97 + cli-openai/src/RateLimiter.ts | 84 + cli-openai/src/bin.ts | 33 + cli-openai/src/domain/AbsolutePath.ts | 19 + cli-openai/src/domain/CompletionRequest.ts | 49 + cli-openai/src/domain/Document.ts | 11 + cli-openai/src/domain/DocumentChunk.ts | 43 + .../src/domain/DocumentChunkRepository.ts | 176 + cli-openai/src/internal/version.ts | 1 + .../00001_create_document_chunks.ts | 17 + .../00002_document_chunk_unique_index.ts | 8 + .../src/migrations/00003_create_vss_chunks.ts | 8 + cli-openai/src/migrations/_schema.sql | 27 + cli-openai/tsconfig.base.json | 47 + cli-openai/tsconfig.build.json | 12 + cli-openai/tsconfig.json | 11 + cli-openai/tsconfig.test.json | 13 + cli-openai/tsup.config.ts | 8 + cli-openai/vitest.config.ts | 14 + {cli => cli-wttr}/package.json | 0 {cli => cli-wttr}/src/wttr.ts | 0 {cli => cli-wttr}/tsconfig.json | 0 flake.lock | 12 +- flake.nix | 28 +- 51 files changed, 9746 insertions(+), 21 deletions(-) create mode 100644 cli-openai/.envrc create mode 100644 cli-openai/.eslintrc.cjs create mode 100644 cli-openai/.gitignore create mode 100644 cli-openai/.gitpod.yml create mode 100644 cli-openai/LICENSE create mode 100644 cli-openai/README.md create mode 100644 cli-openai/docker-compose.yml create mode 100644 cli-openai/effect.md create mode 100644 cli-openai/fixtures/effect.md create mode 100644 cli-openai/flake.lock create mode 100644 cli-openai/flake.nix create mode 100644 cli-openai/infra/grafana/dashboards.yaml create mode 100644 cli-openai/infra/grafana/dashboards/dashboard.json create mode 100644 cli-openai/infra/grafana/datasources.yaml create mode 100644 cli-openai/infra/grafana/grafana.ini create mode 100644 cli-openai/infra/prometheus/prometheus.yaml create mode 100644 cli-openai/infra/tempo/tempo.yaml create mode 100644 cli-openai/package.json create mode 100644 cli-openai/pnpm-lock.yaml create mode 100644 cli-openai/scripts/version.mjs create mode 100644 cli-openai/scripts/version.template.txt create mode 100644 cli-openai/src/AIContext.ts create mode 100644 cli-openai/src/Cli.ts create mode 100644 cli-openai/src/Completions.ts create mode 100644 cli-openai/src/DocumentChunker.ts create mode 100644 cli-openai/src/Embeddings.ts create mode 100644 cli-openai/src/OpenAI.ts create mode 100644 cli-openai/src/RateLimiter.ts create mode 100644 cli-openai/src/bin.ts create mode 100644 cli-openai/src/domain/AbsolutePath.ts create mode 100644 cli-openai/src/domain/CompletionRequest.ts create mode 100644 cli-openai/src/domain/Document.ts create mode 100644 cli-openai/src/domain/DocumentChunk.ts create mode 100644 cli-openai/src/domain/DocumentChunkRepository.ts create mode 100644 cli-openai/src/internal/version.ts create mode 100644 cli-openai/src/migrations/00001_create_document_chunks.ts create mode 100644 cli-openai/src/migrations/00002_document_chunk_unique_index.ts create mode 100644 cli-openai/src/migrations/00003_create_vss_chunks.ts create mode 100644 cli-openai/src/migrations/_schema.sql create mode 100644 cli-openai/tsconfig.base.json create mode 100644 cli-openai/tsconfig.build.json create mode 100644 cli-openai/tsconfig.json create mode 100644 cli-openai/tsconfig.test.json create mode 100644 cli-openai/tsup.config.ts create mode 100644 cli-openai/vitest.config.ts rename {cli => cli-wttr}/package.json (100%) rename {cli => cli-wttr}/src/wttr.ts (100%) rename {cli => cli-wttr}/tsconfig.json (100%) diff --git a/.vscode/settings.json b/.vscode/settings.json index 59f05cb..60fd0ab 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,5 +1,47 @@ { "typescript.tsdk": "node_modules/typescript/lib", - "editor.defaultFormatter": "esbenp.prettier-vscode", + "typescript.preferences.importModuleSpecifier": "non-relative", + "typescript.enablePromptUseWorkspaceTsdk": true, "editor.formatOnSave": true, -} + "eslint.format.enable": true, + "[json]": { + "editor.defaultFormatter": "esbenp.prettier-vscode" + }, + "[markdown]": { + "editor.defaultFormatter": "esbenp.prettier-vscode" + }, + "[javascript]": { + "editor.defaultFormatter": "dbaeumer.vscode-eslint" + }, + "[javascriptreact]": { + "editor.defaultFormatter": "dbaeumer.vscode-eslint" + }, + "[typescript]": { + "editor.defaultFormatter": "dbaeumer.vscode-eslint" + }, + "[typescriptreact]": { + "editor.defaultFormatter": "dbaeumer.vscode-eslint" + }, + "eslint.validate": ["markdown", "javascript", "typescript"], + "editor.codeActionsOnSave": { + "source.fixAll.eslint": "explicit" + }, + "editor.quickSuggestions": { + "other": true, + "comments": false, + "strings": false + }, + "editor.acceptSuggestionOnCommitCharacter": true, + "editor.acceptSuggestionOnEnter": "on", + "editor.quickSuggestionsDelay": 10, + "editor.suggestOnTriggerCharacters": true, + "editor.tabCompletion": "off", + "editor.suggest.localityBonus": true, + "editor.suggestSelection": "recentlyUsed", + "editor.wordBasedSuggestions": "matchingDocuments", + "editor.parameterHints.enabled": true, + "files.watcherExclude": { + "**/target": true + }, + "files.insertFinalNewline": true + } diff --git a/cli-openai/.envrc b/cli-openai/.envrc new file mode 100644 index 0000000..3550a30 --- /dev/null +++ b/cli-openai/.envrc @@ -0,0 +1 @@ +use flake diff --git a/cli-openai/.eslintrc.cjs b/cli-openai/.eslintrc.cjs new file mode 100644 index 0000000..ded2e2c --- /dev/null +++ b/cli-openai/.eslintrc.cjs @@ -0,0 +1,79 @@ +/* eslint-disable no-undef */ +module.exports = { + ignorePatterns: ["dist", "*.mjs", "docs", "*.md"], + parser: "@typescript-eslint/parser", + parserOptions: { + ecmaVersion: 2018, + sourceType: "module" + }, + settings: { + "import/parsers": { + "@typescript-eslint/parser": [".ts", ".tsx"] + }, + "import/resolver": { + typescript: { + alwaysTryTypes: true + } + } + }, + extends: [ + "eslint:recommended", + "plugin:@typescript-eslint/eslint-recommended", + "plugin:@typescript-eslint/recommended", + "plugin:@effect/recommended" + ], + plugins: ["deprecation", "import", "sort-destructure-keys", "simple-import-sort", "codegen"], + rules: { + "codegen/codegen": "error", + "no-fallthrough": "off", + "no-irregular-whitespace": "off", + "object-shorthand": "error", + "prefer-destructuring": "off", + "sort-imports": "off", + "no-unused-vars": "off", + "prefer-rest-params": "off", + "prefer-spread": "off", + "import/first": "error", + "import/no-cycle": "error", + "import/newline-after-import": "error", + "import/no-duplicates": "error", + "import/no-unresolved": "off", + "import/order": "off", + "simple-import-sort/imports": "off", + "sort-destructure-keys/sort-destructure-keys": "error", + "deprecation/deprecation": "off", + "@typescript-eslint/array-type": ["warn", { "default": "generic", "readonly": "generic" }], + "@typescript-eslint/member-delimiter-style": 0, + "@typescript-eslint/no-non-null-assertion": "off", + "@typescript-eslint/ban-types": "off", + "@typescript-eslint/no-explicit-any": "off", + "@typescript-eslint/no-empty-interface": "off", + "@typescript-eslint/consistent-type-imports": "warn", + "@typescript-eslint/no-unused-vars": ["error", { + "argsIgnorePattern": "^_", + "varsIgnorePattern": "^_" + }], + "@typescript-eslint/ban-ts-comment": "off", + "@typescript-eslint/camelcase": "off", + "@typescript-eslint/explicit-function-return-type": "off", + "@typescript-eslint/explicit-module-boundary-types": "off", + "@typescript-eslint/interface-name-prefix": "off", + "@typescript-eslint/no-array-constructor": "off", + "@typescript-eslint/no-use-before-define": "off", + "@typescript-eslint/no-namespace": "off", + "@effect/dprint": [ + "error", + { + config: { + "indentWidth": 2, + "lineWidth": 100, + "semiColons": "asi", + "quoteStyle": "alwaysDouble", + "trailingCommas": "never", + "operatorPosition": "maintain", + "arrowFunction.useParentheses": "force" + } + } + ] + } +} diff --git a/cli-openai/.gitignore b/cli-openai/.gitignore new file mode 100644 index 0000000..b6b4f58 --- /dev/null +++ b/cli-openai/.gitignore @@ -0,0 +1,12 @@ +coverage/ +*.tsbuildinfo +node_modules/ +.DS_Store +tmp/ +dist/ +.direnv/ +.env +*.sqlite +*.sqlite-shm +*.sqlite-wal +tempo-data/ diff --git a/cli-openai/.gitpod.yml b/cli-openai/.gitpod.yml new file mode 100644 index 0000000..2bf8b80 --- /dev/null +++ b/cli-openai/.gitpod.yml @@ -0,0 +1,3 @@ +tasks: + - name: Install Packages + init: pnpm install diff --git a/cli-openai/LICENSE b/cli-openai/LICENSE new file mode 100644 index 0000000..f8f4392 --- /dev/null +++ b/cli-openai/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2020-present The Contributors + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/cli-openai/README.md b/cli-openai/README.md new file mode 100644 index 0000000..6b4a9e2 --- /dev/null +++ b/cli-openai/README.md @@ -0,0 +1,15 @@ +[![Open in Gitpod](https://img.shields.io/badge/Gitpod-ready--to--code-908a85?logo=gitpod)](https://gitpod.io/#https://github.com/Effect-TS/effect-openai) + +# Effect OpenAI + +An OpenAI client written with Effect which demonstrates many of the concepts that will be reviewed during the Advanced Effect Workshop and Effect Days Vienna 2024. + +## Get the Code + +There are three primary methods which you can use to get access to this project: + +| Method | Description | +| :------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------- | +| Clone Locally | Clone the project locally (optionally use Nix to install dependencies) | +| [![Open in Gitpod](https://img.shields.io/badge/Gitpod-ready--to--code-908a85?logo=gitpod)](https://gitpod.io/#https://github.com/IMax153/effect-openai) | Open the project in [Gitpod](https://gitpod.io/) | +| [![Open in StackBlitz](https://developer.stackblitz.com/img/open_in_stackblitz.svg)](https://stackblitz.com/fork/github/IMax153/effect-openai) | Open the project in [Stackblitz](https://stackblitz.com/) | diff --git a/cli-openai/docker-compose.yml b/cli-openai/docker-compose.yml new file mode 100644 index 0000000..938b40a --- /dev/null +++ b/cli-openai/docker-compose.yml @@ -0,0 +1,49 @@ +version: "3.9" + +services: + # Grafana + grafana: + image: grafana/grafana:10.2.3 + container_name: grafana + deploy: + resources: + limits: + memory: 100M + environment: + - GF_AUTH_ANONYMOUS_ENABLED=true + - GF_AUTH_ANONYMOUS_ORG_ROLE=Admin + - GF_AUTH_DISABLE_LOGIN_FORM=true + volumes: + - ./infra/grafana/grafana.ini:/etc/grafana/grafana.ini + - ./infra/grafana/datasources.yaml:/etc/grafana/provisioning/datasources/datasources.yml + - ./infra/grafana/dashboards.yaml:/etc/grafana/provisioning/dashboards/dashboards.yml + - ./infra/grafana/dashboards:/etc/dashboards + ports: + - 30001:3000 + + # Prometheus + prometheus: + image: prom/prometheus:latest + container_name: prometheus + command: + - --config.file=/etc/prometheus.yaml + - --web.enable-remote-write-receiver + - --enable-feature=exemplar-storage + volumes: + - ./infra/prometheus/prometheus.yaml:/etc/prometheus.yaml + ports: + - 9090:9090 + + tempo: + image: grafana/tempo:latest + command: ["-config.file=/etc/tempo.yml"] + volumes: + - ./infra/tempo/tempo.yaml:/etc/tempo.yml + - ./tempo-data:/tmp/tempo + ports: + - "14268:14268" # jaeger ingest + - "3200:3200" # tempo + - "9095:9095" # tempo grpc + - "4317:4317" # otlp grpc + - "4318:4318" # otlp http + - "9411:9411" # zipkin diff --git a/cli-openai/effect.md b/cli-openai/effect.md new file mode 100644 index 0000000..39ae8c0 --- /dev/null +++ b/cli-openai/effect.md @@ -0,0 +1,514 @@ +--- +title: Introduction to Effect's Control Flow Operators +navTitle: Control Flow +excerpt: Effect is a powerful TypeScript library designed to help developers easily create complex, synchronous, and asynchronous programs. +bottomNavigation: pagination +--- + +Even though JavaScript provides built-in control flow structures, Effect offers additional control flow functions that are useful in Effect applications. In this section, we will introduce different ways to control the flow of execution. + +## if Expression + +When working with Effect values, we can use the standard JavaScript if-then-else expressions: + +```ts twoslash +import { Effect, Option } from "effect"; + +const validateWeightOption = ( + weight: number +): Effect.Effect> => { + if (weight >= 0) { + return Effect.succeed(Option.some(weight)); + } else { + return Effect.succeed(Option.none()); + } +}; +``` + +Here we are using the [`Option`](./data-types/option.mdx) data type to represent the absence of a valid value. + +We can also handle invalid inputs by using the error channel: + +```ts twoslash +import { Effect } from "effect"; + +const validateWeightOrFail = ( + weight: number +): Effect.Effect => { + if (weight >= 0) { + return Effect.succeed(weight); + } else { + return Effect.fail(`negative input: ${weight}`); + } +}; +``` + +## Conditional Operators + +### when + +Instead of using `if (condition) expression`, we can use the `Effect.when` function: + +```ts twoslash +import { Effect, Option } from "effect"; + +const validateWeightOption = ( + weight: number +): Effect.Effect> => + Effect.succeed(weight).pipe(Effect.when(() => weight >= 0)); +``` + +Here we are using the [`Option`](./data-types/option.mdx) data type to represent the absence of a valid value. + +If the condition evaluates to `true`, the effect inside the `Effect.when` will be executed and the result will be wrapped in a `Some`, otherwise it returns `None`: + +```ts twoslash +import { Effect, Option } from "effect"; + +const validateWeightOption = ( + weight: number +): Effect.Effect> => + Effect.succeed(weight).pipe(Effect.when(() => weight >= 0)); + +// ---cut--- +Effect.runPromise(validateWeightOption(100)).then(console.log); +/* +Output: +{ + _id: "Option", + _tag: "Some", + value: 100 +} +*/ + +Effect.runPromise(validateWeightOption(-5)).then(console.log); +/* +Output: +{ + _id: "Option", + _tag: "None" +} +*/ +``` + +If the condition itself involves an effect, we can use `Effect.whenEffect`. + +For example, the following function creates a random option of an integer value: + +```ts twoslash +import { Effect, Random } from "effect"; + +const randomIntOption = Random.nextInt.pipe( + Effect.whenEffect(Random.nextBoolean) +); +``` + +### unless + +The `Effect.unless` and `Effect.unlessEffect` functions are similar to the `when*` functions, but they are equivalent to the `if (!condition) expression` construct. + +### if + +The `Effect.if` function allows you to provide an effectful predicate. If the predicate evaluates to `true`, the `onTrue` effect will be executed. Otherwise, the `onFalse` effect will be executed. + +Let's use this function to create a simple virtual coin flip function: + +```ts twoslash +import { Effect, Random, Console } from "effect"; + +const flipTheCoin = Effect.if(Random.nextBoolean, { + onTrue: Console.log("Head"), + onFalse: Console.log("Tail"), +}); + +Effect.runPromise(flipTheCoin); +``` + +In this example, we generate a random boolean value using `Random.nextBoolean`. If the value is `true`, the effect `onTrue` will be executed, which logs "Head". Otherwise, if the value is `false`, the effect `onFalse` will be executed, logging "Tail". + +## Loop Operators + +### loop + +The `Effect.loop` function allows you to repeatedly change the state based on an `step` function until a condition given by the `while` function is evaluated to `true`: + +```ts +Effect.loop(initial, options: { while, step, body }) +``` + +It collects all intermediate states in an array and returns it as the final result. + +We can think of `Effect.loop` as equivalent to a `while` loop in JavaScript: + +```ts +let state = initial; +const result = []; + +while (options.while(state)) { + result.push(options.body(state)); + state = options.step(state); +} + +return result; +``` + +**Example** + +```ts twoslash +import { Effect } from "effect"; + +const result = Effect.loop( + 1, // Initial state + { + while: (state) => state <= 5, // Condition to continue looping + step: (state) => state + 1, // State update function + body: (state) => Effect.succeed(state), // Effect to be performed on each iteration + } +); + +Effect.runPromise(result).then(console.log); // Output: [1, 2, 3, 4, 5] +``` + +In this example, the loop starts with an initial state of `1`. The loop continues as long as the condition `n <= 5` is `true`, and in each iteration, the state `n` is incremented by `1`. The effect `Effect.succeed(n)` is performed on each iteration, collecting all intermediate states in an array. + +You can also use the `discard` option if you're not interested in collecting the intermediate results. It discards all intermediate states and returns `undefined` as the final result. + +**Example** (`discard: true`) + +```ts twoslash +import { Effect, Console } from "effect"; + +const result = Effect.loop( + 1, // Initial state + { + while: (state) => state <= 5, // Condition to continue looping, + step: (state) => state + 1, // State update function, + body: (state) => Console.log(`Currently at state ${state}`), // Effect to be performed on each iteration, + discard: true, + } +); + +Effect.runPromise(result).then(console.log); +/* +Output: +Currently at state 1 +Currently at state 2 +Currently at state 3 +Currently at state 4 +Currently at state 5 +undefined +*/ +``` + +In this example, the loop performs a side effect of logging the current index on each iteration, but it discards all intermediate results. The final result is `undefined`. + +### iterate + +The `Effect.iterate` function allows you to iterate with an effectful operation. It uses an effectful `body` operation to change the state during each iteration and continues the iteration as long as the `while` function evaluates to `true`: + +```ts +Effect.iterate(initial, options: { while, body }) +``` + +We can think of `Effect.iterate` as equivalent to a `while` loop in JavaScript: + +```ts +let result = initial; + +while (options.while(result)) { + result = options.body(result); +} + +return result; +``` + +Here's an example of how it works: + +```ts twoslash +import { Effect } from "effect"; + +const result = Effect.iterate( + 1, // Initial result + { + while: (result) => result <= 5, // Condition to continue iterating + body: (result) => Effect.succeed(result + 1), // Operation to change the result + } +); + +Effect.runPromise(result).then(console.log); // Output: 6 +``` + +### forEach + +The `Effect.forEach` function allows you to iterate over an `Iterable` and perform an effectful operation for each element. + +The syntax for `forEach` is as follows: + +```ts +import { Effect } from "effect"; + +const combinedEffect = Effect.forEach(iterable, operation, options); +``` + +It applies the given effectful operation to each element of the `Iterable`. By default, it executes each effect in **sequence** (to explore options for managing concurrency and controlling how these effects are executed, you can refer to the [Concurrency Options](./concurrency/concurrency-options.mdx) documentation). + +This function returns a new effect that produces an array containing the results of each individual effect. + +Let's take a look at an example: + +```ts twoslash +import { Effect, Console } from "effect"; + +const result = Effect.forEach([1, 2, 3, 4, 5], (n, index) => + Console.log(`Currently at index ${index}`).pipe(Effect.as(n * 2)) +); + +Effect.runPromise(result).then(console.log); +/* +Output: +Currently at index 0 +Currently at index 1 +Currently at index 2 +Currently at index 3 +Currently at index 4 +[ 2, 4, 6, 8, 10 ] +*/ +``` + +In this example, we have an array `[1, 2, 3, 4, 5]`, and for each element we perform an effectful operation. The output shows that the operation is executed for each element in the array, displaying the current index. + +The `Effect.forEach` combinator collects the results of each effectful operation in an array, which is why the final output is `[ 2, 4, 6, 8, 10 ]`. + +We also have the `discard` option, which when set to `true` discards the results of each effectful operation: + +```ts twoslash +import { Effect, Console } from "effect"; + +const result = Effect.forEach( + [1, 2, 3, 4, 5], + (n, index) => + Console.log(`Currently at index ${index}`).pipe(Effect.as(n * 2)), + { discard: true } +); + +Effect.runPromise(result).then(console.log); +/* +Output: +Currently at index 0 +Currently at index 1 +Currently at index 2 +Currently at index 3 +Currently at index 4 +undefined +*/ +``` + +In this case, the output is the same, but the final result is `undefined` since the results of each effectful operation are discarded. + +### all + +The `Effect.all` function in the Effect library is a powerful tool that allows you to merge multiple effects into a single effect, offering flexibility by working with various structured formats such as tuples, iterables, structs, and records. + +The syntax for `all` is as follows: + +```ts +import { Effect } from "effect"; + +const combinedEffect = Effect.all(effects, options); +``` + +where `effects` is a collection of individual effects that you wish to merge. + +By default, the `all` function will execute each effect in **sequence** (to explore options for managing concurrency and controlling how these effects are executed, you can refer to the [Concurrency Options](./concurrency/concurrency-options.mdx) documentation). + +It will return a new effect that produces a result with a shape that depends on the shape of the `effects` argument. + +Let's explore examples for each supported shape: tuples, iterables, structs, and records. + +#### Tuples + +```ts twoslash +import { Effect, Console } from "effect"; + +const tuple = [ + Effect.succeed(42).pipe(Effect.tap(Console.log)), + Effect.succeed("Hello").pipe(Effect.tap(Console.log)), +] as const; + +const combinedEffect = Effect.all(tuple); + +Effect.runPromise(combinedEffect).then(console.log); +/* +Output: +42 +Hello +[ 42, 'Hello' ] +*/ +``` + +#### Iterables + +```ts twoslash +import { Effect, Console } from "effect"; + +const iterable: Iterable> = [1, 2, 3].map((n) => + Effect.succeed(n).pipe(Effect.tap(Console.log)) +); + +const combinedEffect = Effect.all(iterable); + +Effect.runPromise(combinedEffect).then(console.log); +/* +Output: +1 +2 +3 +[ 1, 2, 3 ] +*/ +``` + +#### Structs + +```ts twoslash +import { Effect, Console } from "effect"; + +const struct = { + a: Effect.succeed(42).pipe(Effect.tap(Console.log)), + b: Effect.succeed("Hello").pipe(Effect.tap(Console.log)), +}; + +const combinedEffect = Effect.all(struct); + +Effect.runPromise(combinedEffect).then(console.log); +/* +Output: +42 +Hello +{ a: 42, b: 'Hello' } +*/ +``` + +#### Records + +```ts twoslash +import { Effect, Console } from "effect"; + +const record: Record> = { + key1: Effect.succeed(1).pipe(Effect.tap(Console.log)), + key2: Effect.succeed(2).pipe(Effect.tap(Console.log)), +}; + +const combinedEffect = Effect.all(record); + +Effect.runPromise(combinedEffect).then(console.log); +/* +Output: +1 +2 +{ key1: 1, key2: 2 } +*/ +``` + +#### The Role of Short-Circuiting + +When working with the `Effect.all` API, it's important to understand how it manages errors. +This API is designed to **short-circuit the execution** upon encountering the **first error**. + +What does this mean for you as a developer? Well, let's say you have a collection of effects to be executed in sequence. If any error occurs during the execution of one of these effects, the remaining computations will be skipped, and the error will be propagated to the final result. + +In simpler terms, the short-circuiting behavior ensures that if something goes wrong at any step of your program it will immediately stop and return the error to let you know that something went wrong. + +```ts twoslash +import { Effect, Console } from "effect"; + +const effects = [ + Effect.succeed("Task1").pipe(Effect.tap(Console.log)), + Effect.fail("Task2: Oh no!").pipe(Effect.tap(Console.log)), + Effect.succeed("Task3").pipe(Effect.tap(Console.log)), // this task won't be executed +]; + +const program = Effect.all(effects); + +Effect.runPromiseExit(program).then(console.log); +/* +Output: +Task1 +{ + _id: 'Exit', + _tag: 'Failure', + cause: { _id: 'Cause', _tag: 'Fail', failure: 'Task2: Oh no!' } +} +*/ +``` + +You can override this behavior by using the `mode` option. + +#### The mode option + +When you use the `{ mode: "either" }` option with `Effect.all`, it modifies the behavior of the API to handle errors differently. Instead of short-circuiting the entire computation on the first error, it continues to execute all effects, collecting both successes and failures. The result is an array of `Either` instances, representing either a successful outcome (`Right`) or a failure (`Left`) for each individual effect. + +Here's a breakdown: + +```ts twoslash +import { Effect, Console } from "effect"; + +const effects = [ + Effect.succeed("Task1").pipe(Effect.tap(Console.log)), + Effect.fail("Task2: Oh no!").pipe(Effect.tap(Console.log)), + Effect.succeed("Task3").pipe(Effect.tap(Console.log)), +]; + +const program = Effect.all(effects, { mode: "either" }); + +Effect.runPromiseExit(program).then(console.log); +/* +Output: +Task1 +Task3 +{ + _id: 'Exit', + _tag: 'Success', + value: [ + { _id: 'Either', _tag: 'Right', right: 'Task1' }, + { _id: 'Either', _tag: 'Left', left: 'Task2: Oh no!' }, + { _id: 'Either', _tag: 'Right', right: 'Task3' } + ] +} +*/ +``` + +On the other hand, when you use the `{ mode: "validate" }` option with `Effect.all`, it takes a similar approach to `{ mode: "either" }` but uses the `Option` type to represent the success or failure of each effect. The resulting array will contain `None` for successful effects and `Some` with the associated error message for failed effects. + +Here's an illustration: + +```ts twoslash +import { Effect, Console } from "effect"; + +const effects = [ + Effect.succeed("Task1").pipe(Effect.tap(Console.log)), + Effect.fail("Task2: Oh no!").pipe(Effect.tap(Console.log)), + Effect.succeed("Task3").pipe(Effect.tap(Console.log)), +]; + +const program = Effect.all(effects, { mode: "validate" }); + +Effect.runPromiseExit(program).then((result) => console.log("%o", result)); +/* +Output: +Task1 +Task3 +{ + _id: 'Exit', + _tag: 'Failure', + cause: { + _id: 'Cause', + _tag: 'Fail', + failure: [ + { _id: 'Option', _tag: 'None' }, + { _id: 'Option', _tag: 'Some', value: 'Task2: Oh no!' }, + { _id: 'Option', _tag: 'None' } + ] + } +} +*/ +``` diff --git a/cli-openai/fixtures/effect.md b/cli-openai/fixtures/effect.md new file mode 100644 index 0000000..022fe1b --- /dev/null +++ b/cli-openai/fixtures/effect.md @@ -0,0 +1,514 @@ +--- +title: Introduction to Effect's Control Flow Operators +navTitle: Control Flow +excerpt: Effect is a powerful TypeScript library designed to help developers easily create complex, synchronous, and asynchronous programs. +bottomNavigation: pagination +--- + +Even though JavaScript provides built-in control flow structures, Effect offers additional control flow functions that are useful in Effect applications. In this section, we will introduce different ways to control the flow of execution. + +## if Expression + +When working with Effect values, we can use the standard JavaScript if-then-else expressions: + +```ts twoslash +import { Effect, Option } from "effect" + +const validateWeightOption = ( + weight: number +): Effect.Effect> => { + if (weight >= 0) { + return Effect.succeed(Option.some(weight)) + } else { + return Effect.succeed(Option.none()) + } +} +``` + +Here we are using the [`Option`](./data-types/option.mdx) data type to represent the absence of a valid value. + +We can also handle invalid inputs by using the error channel: + +```ts twoslash +import { Effect } from "effect" + +const validateWeightOrFail = ( + weight: number +): Effect.Effect => { + if (weight >= 0) { + return Effect.succeed(weight) + } else { + return Effect.fail(`negative input: ${weight}`) + } +} +``` + +## Conditional Operators + +### when + +Instead of using `if (condition) expression`, we can use the `Effect.when` function: + +```ts twoslash +import { Effect, Option } from "effect" + +const validateWeightOption = ( + weight: number +): Effect.Effect> => + Effect.succeed(weight).pipe(Effect.when(() => weight >= 0)) +``` + +Here we are using the [`Option`](./data-types/option.mdx) data type to represent the absence of a valid value. + +If the condition evaluates to `true`, the effect inside the `Effect.when` will be executed and the result will be wrapped in a `Some`, otherwise it returns `None`: + +```ts twoslash +import { Effect, Option } from "effect" + +const validateWeightOption = ( + weight: number +): Effect.Effect> => + Effect.succeed(weight).pipe(Effect.when(() => weight >= 0)) + +// ---cut--- +Effect.runPromise(validateWeightOption(100)).then(console.log) +/* +Output: +{ + _id: "Option", + _tag: "Some", + value: 100 +} +*/ + +Effect.runPromise(validateWeightOption(-5)).then(console.log) +/* +Output: +{ + _id: "Option", + _tag: "None" +} +*/ +``` + +If the condition itself involves an effect, we can use `Effect.whenEffect`. + +For example, the following function creates a random option of an integer value: + +```ts twoslash +import { Effect, Random } from "effect" + +const randomIntOption = Random.nextInt.pipe( + Effect.whenEffect(Random.nextBoolean) +) +``` + +### unless + +The `Effect.unless` and `Effect.unlessEffect` functions are similar to the `when*` functions, but they are equivalent to the `if (!condition) expression` construct. + +### if + +The `Effect.if` function allows you to provide an effectful predicate. If the predicate evaluates to `true`, the `onTrue` effect will be executed. Otherwise, the `onFalse` effect will be executed. + +Let's use this function to create a simple virtual coin flip function: + +```ts twoslash +import { Effect, Random, Console } from "effect" + +const flipTheCoin = Effect.if(Random.nextBoolean, { + onTrue: Console.log("Head"), + onFalse: Console.log("Tail") +}) + +Effect.runPromise(flipTheCoin) +``` + +In this example, we generate a random boolean value using `Random.nextBoolean`. If the value is `true`, the effect `onTrue` will be executed, which logs "Head". Otherwise, if the value is `false`, the effect `onFalse` will be executed, logging "Tail". + +## Loop Operators + +### loop + +The `Effect.loop` function allows you to repeatedly change the state based on an `step` function until a condition given by the `while` function is evaluated to `true`: + +```ts +Effect.loop(initial, options: { while, step, body }) +``` + +It collects all intermediate states in an array and returns it as the final result. + +We can think of `Effect.loop` as equivalent to a `while` loop in JavaScript: + +```ts +let state = initial +const result = [] + +while (options.while(state)) { + result.push(options.body(state)) + state = options.step(state) +} + +return result +``` + +**Example** + +```ts twoslash +import { Effect } from "effect" + +const result = Effect.loop( + 1, // Initial state + { + while: (state) => state <= 5, // Condition to continue looping + step: (state) => state + 1, // State update function + body: (state) => Effect.succeed(state) // Effect to be performed on each iteration + } +) + +Effect.runPromise(result).then(console.log) // Output: [1, 2, 3, 4, 5] +``` + +In this example, the loop starts with an initial state of `1`. The loop continues as long as the condition `n <= 5` is `true`, and in each iteration, the state `n` is incremented by `1`. The effect `Effect.succeed(n)` is performed on each iteration, collecting all intermediate states in an array. + +You can also use the `discard` option if you're not interested in collecting the intermediate results. It discards all intermediate states and returns `undefined` as the final result. + +**Example** (`discard: true`) + +```ts twoslash +import { Effect, Console } from "effect" + +const result = Effect.loop( + 1, // Initial state + { + while: (state) => state <= 5, // Condition to continue looping, + step: (state) => state + 1, // State update function, + body: (state) => Console.log(`Currently at state ${state}`), // Effect to be performed on each iteration, + discard: true + } +) + +Effect.runPromise(result).then(console.log) +/* +Output: +Currently at state 1 +Currently at state 2 +Currently at state 3 +Currently at state 4 +Currently at state 5 +undefined +*/ +``` + +In this example, the loop performs a side effect of logging the current index on each iteration, but it discards all intermediate results. The final result is `undefined`. + +### iterate + +The `Effect.iterate` function allows you to iterate with an effectful operation. It uses an effectful `body` operation to change the state during each iteration and continues the iteration as long as the `while` function evaluates to `true`: + +```ts +Effect.iterate(initial, options: { while, body }) +``` + +We can think of `Effect.iterate` as equivalent to a `while` loop in JavaScript: + +```ts +let result = initial + +while (options.while(result)) { + result = options.body(result) +} + +return result +``` + +Here's an example of how it works: + +```ts twoslash +import { Effect } from "effect" + +const result = Effect.iterate( + 1, // Initial result + { + while: (result) => result <= 5, // Condition to continue iterating + body: (result) => Effect.succeed(result + 1) // Operation to change the result + } +) + +Effect.runPromise(result).then(console.log) // Output: 6 +``` + +### forEach + +The `Effect.forEach` function allows you to iterate over an `Iterable` and perform an effectful operation for each element. + +The syntax for `forEach` is as follows: + +```ts +import { Effect } from "effect" + +const combinedEffect = Effect.forEach(iterable, operation, options) +``` + +It applies the given effectful operation to each element of the `Iterable`. By default, it executes each effect in **sequence** (to explore options for managing concurrency and controlling how these effects are executed, you can refer to the [Concurrency Options](./concurrency/concurrency-options.mdx) documentation). + +This function returns a new effect that produces an array containing the results of each individual effect. + +Let's take a look at an example: + +```ts twoslash +import { Effect, Console } from "effect" + +const result = Effect.forEach([1, 2, 3, 4, 5], (n, index) => + Console.log(`Currently at index ${index}`).pipe(Effect.as(n * 2)) +) + +Effect.runPromise(result).then(console.log) +/* +Output: +Currently at index 0 +Currently at index 1 +Currently at index 2 +Currently at index 3 +Currently at index 4 +[ 2, 4, 6, 8, 10 ] +*/ +``` + +In this example, we have an array `[1, 2, 3, 4, 5]`, and for each element we perform an effectful operation. The output shows that the operation is executed for each element in the array, displaying the current index. + +The `Effect.forEach` combinator collects the results of each effectful operation in an array, which is why the final output is `[ 2, 4, 6, 8, 10 ]`. + +We also have the `discard` option, which when set to `true` discards the results of each effectful operation: + +```ts twoslash +import { Effect, Console } from "effect" + +const result = Effect.forEach( + [1, 2, 3, 4, 5], + (n, index) => + Console.log(`Currently at index ${index}`).pipe(Effect.as(n * 2)), + { discard: true } +) + +Effect.runPromise(result).then(console.log) +/* +Output: +Currently at index 0 +Currently at index 1 +Currently at index 2 +Currently at index 3 +Currently at index 4 +undefined +*/ +``` + +In this case, the output is the same, but the final result is `undefined` since the results of each effectful operation are discarded. + +### all + +The `Effect.all` function in the Effect library is a powerful tool that allows you to merge multiple effects into a single effect, offering flexibility by working with various structured formats such as tuples, iterables, structs, and records. + +The syntax for `all` is as follows: + +```ts +import { Effect } from "effect" + +const combinedEffect = Effect.all(effects, options) +``` + +where `effects` is a collection of individual effects that you wish to merge. + +By default, the `all` function will execute each effect in **sequence** (to explore options for managing concurrency and controlling how these effects are executed, you can refer to the [Concurrency Options](./concurrency/concurrency-options.mdx) documentation). + +It will return a new effect that produces a result with a shape that depends on the shape of the `effects` argument. + +Let's explore examples for each supported shape: tuples, iterables, structs, and records. + +#### Tuples + +```ts twoslash +import { Effect, Console } from "effect" + +const tuple = [ + Effect.succeed(42).pipe(Effect.tap(Console.log)), + Effect.succeed("Hello").pipe(Effect.tap(Console.log)) +] as const + +const combinedEffect = Effect.all(tuple) + +Effect.runPromise(combinedEffect).then(console.log) +/* +Output: +42 +Hello +[ 42, 'Hello' ] +*/ +``` + +#### Iterables + +```ts twoslash +import { Effect, Console } from "effect" + +const iterable: Iterable> = [1, 2, 3].map((n) => + Effect.succeed(n).pipe(Effect.tap(Console.log)) +) + +const combinedEffect = Effect.all(iterable) + +Effect.runPromise(combinedEffect).then(console.log) +/* +Output: +1 +2 +3 +[ 1, 2, 3 ] +*/ +``` + +#### Structs + +```ts twoslash +import { Effect, Console } from "effect" + +const struct = { + a: Effect.succeed(42).pipe(Effect.tap(Console.log)), + b: Effect.succeed("Hello").pipe(Effect.tap(Console.log)) +} + +const combinedEffect = Effect.all(struct) + +Effect.runPromise(combinedEffect).then(console.log) +/* +Output: +42 +Hello +{ a: 42, b: 'Hello' } +*/ +``` + +#### Records + +```ts twoslash +import { Effect, Console } from "effect" + +const record: Record> = { + key1: Effect.succeed(1).pipe(Effect.tap(Console.log)), + key2: Effect.succeed(2).pipe(Effect.tap(Console.log)) +} + +const combinedEffect = Effect.all(record) + +Effect.runPromise(combinedEffect).then(console.log) +/* +Output: +1 +2 +{ key1: 1, key2: 2 } +*/ +``` + +#### The Role of Short-Circuiting + +When working with the `Effect.all` API, it's important to understand how it manages errors. +This API is designed to **short-circuit the execution** upon encountering the **first error**. + +What does this mean for you as a developer? Well, let's say you have a collection of effects to be executed in sequence. If any error occurs during the execution of one of these effects, the remaining computations will be skipped, and the error will be propagated to the final result. + +In simpler terms, the short-circuiting behavior ensures that if something goes wrong at any step of your program it will immediately stop and return the error to let you know that something went wrong. + +```ts twoslash +import { Effect, Console } from "effect" + +const effects = [ + Effect.succeed("Task1").pipe(Effect.tap(Console.log)), + Effect.fail("Task2: Oh no!").pipe(Effect.tap(Console.log)), + Effect.succeed("Task3").pipe(Effect.tap(Console.log)) // this task won't be executed +] + +const program = Effect.all(effects) + +Effect.runPromiseExit(program).then(console.log) +/* +Output: +Task1 +{ + _id: 'Exit', + _tag: 'Failure', + cause: { _id: 'Cause', _tag: 'Fail', failure: 'Task2: Oh no!' } +} +*/ +``` + +You can override this behavior by using the `mode` option. + +#### The mode option + +When you use the `{ mode: "either" }` option with `Effect.all`, it modifies the behavior of the API to handle errors differently. Instead of short-circuiting the entire computation on the first error, it continues to execute all effects, collecting both successes and failures. The result is an array of `Either` instances, representing either a successful outcome (`Right`) or a failure (`Left`) for each individual effect. + +Here's a breakdown: + +```ts twoslash +import { Effect, Console } from "effect" + +const effects = [ + Effect.succeed("Task1").pipe(Effect.tap(Console.log)), + Effect.fail("Task2: Oh no!").pipe(Effect.tap(Console.log)), + Effect.succeed("Task3").pipe(Effect.tap(Console.log)) +] + +const program = Effect.all(effects, { mode: "either" }) + +Effect.runPromiseExit(program).then(console.log) +/* +Output: +Task1 +Task3 +{ + _id: 'Exit', + _tag: 'Success', + value: [ + { _id: 'Either', _tag: 'Right', right: 'Task1' }, + { _id: 'Either', _tag: 'Left', left: 'Task2: Oh no!' }, + { _id: 'Either', _tag: 'Right', right: 'Task3' } + ] +} +*/ +``` + +On the other hand, when you use the `{ mode: "validate" }` option with `Effect.all`, it takes a similar approach to `{ mode: "either" }` but uses the `Option` type to represent the success or failure of each effect. The resulting array will contain `None` for successful effects and `Some` with the associated error message for failed effects. + +Here's an illustration: + +```ts twoslash +import { Effect, Console } from "effect" + +const effects = [ + Effect.succeed("Task1").pipe(Effect.tap(Console.log)), + Effect.fail("Task2: Oh no!").pipe(Effect.tap(Console.log)), + Effect.succeed("Task3").pipe(Effect.tap(Console.log)) +] + +const program = Effect.all(effects, { mode: "validate" }) + +Effect.runPromiseExit(program).then((result) => console.log("%o", result)) +/* +Output: +Task1 +Task3 +{ + _id: 'Exit', + _tag: 'Failure', + cause: { + _id: 'Cause', + _tag: 'Fail', + failure: [ + { _id: 'Option', _tag: 'None' }, + { _id: 'Option', _tag: 'Some', value: 'Task2: Oh no!' }, + { _id: 'Option', _tag: 'None' } + ] + } +} +*/ +``` diff --git a/cli-openai/flake.lock b/cli-openai/flake.lock new file mode 100644 index 0000000..e4f1195 --- /dev/null +++ b/cli-openai/flake.lock @@ -0,0 +1,61 @@ +{ + "nodes": { + 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"default", + "rev": "da67096a3b9bf56a91d16901293e51ba5b49a27e", + "type": "github" + }, + "original": { + "owner": "nix-systems", + "repo": "default", + "type": "github" + } + } + }, + "root": "root", + "version": 7 +} diff --git a/cli-openai/flake.nix b/cli-openai/flake.nix new file mode 100644 index 0000000..358341e --- /dev/null +++ b/cli-openai/flake.nix @@ -0,0 +1,38 @@ +{ + inputs = { + nixpkgs = { + url = "github:nixos/nixpkgs/nixpkgs-unstable"; + }; + + flake-utils = { + url = "github:numtide/flake-utils"; + }; + }; + + outputs = { + self, + nixpkgs, + flake-utils, + ... + }: + flake-utils.lib.eachDefaultSystem (system: let + pkgs = nixpkgs.legacyPackages.${system}; + corepackEnable = pkgs.runCommand "corepack-enable" {} '' + mkdir -p $out/bin + ${pkgs.nodejs_20}/bin/corepack enable --install-directory $out/bin + ''; + in { + formatter = pkgs.alejandra; + + devShells = { + default = pkgs.mkShell { + buildInputs = with pkgs; [ + sqlite-vss + podman + nodejs_20 + corepackEnable + ]; + }; + }; + }); +} diff --git a/cli-openai/infra/grafana/dashboards.yaml b/cli-openai/infra/grafana/dashboards.yaml new file mode 100644 index 0000000..568bd66 --- /dev/null +++ b/cli-openai/infra/grafana/dashboards.yaml @@ -0,0 +1,11 @@ +# https://grafana.com/docs/grafana/latest/administration/provisioning/#provision-folders-structure-from-filesystem-to-grafana +apiVersion: 1 + +providers: + - name: dashboards + type: file + updateIntervalSeconds: 5 + allowUiUpdates: true + options: + path: /etc/dashboards + foldersFromFilesStructure: true diff --git a/cli-openai/infra/grafana/dashboards/dashboard.json b/cli-openai/infra/grafana/dashboards/dashboard.json new file mode 100644 index 0000000..7efe746 --- /dev/null +++ b/cli-openai/infra/grafana/dashboards/dashboard.json @@ -0,0 +1,351 @@ +{ + "annotations": { + "list": [ + { + "builtIn": 1, + "datasource": { + "type": "grafana", + "uid": "-- Grafana --" + }, + "enable": true, + "hide": true, + "iconColor": "rgba(0, 211, 255, 1)", + "name": "Annotations & Alerts", + "type": "dashboard" + } + ] + }, + "editable": true, + "fiscalYearStartMonth": 0, + "graphTooltip": 0, + "id": 1, + "links": [], + "liveNow": false, + "panels": [ + { + "datasource": { + "type": "prometheus", + "uid": "prometheus" + }, + "fieldConfig": { + "defaults": { + "color": { + "mode": "thresholds" + }, + "mappings": [], + "thresholds": { + "mode": "absolute", + "steps": [ + { + "color": "green", + "value": null + }, + { + "color": "red", + "value": 80 + } + ] + }, + "unit": "s" + }, + "overrides": [] + }, + "gridPos": { + "h": 9, + "w": 7, + "x": 0, + "y": 0 + }, + "id": 4, + "options": { + "colorMode": "value", + "graphMode": "area", + "justifyMode": "auto", + "orientation": "auto", + "reduceOptions": { + "calcs": [ + "lastNotNull" + ], + "fields": "", + "values": false + }, + "textMode": "auto", + "wideLayout": true + }, + "pluginVersion": "10.2.3", + "targets": [ + { + "datasource": { + "type": "prometheus", + "uid": "prometheus" + }, + "disableTextWrap": false, + "editorMode": "code", + "expr": "traces_spanmetrics_latency_sum{source=\"tempo\", span_name=\"$rootspan\"} / traces_spanmetrics_latency_count{source=\"tempo\", span_name=\"$rootspan\"}", + "fullMetaSearch": false, + "includeNullMetadata": false, + "instant": false, + "legendFormat": "Average", + "range": true, + "refId": "A", + "useBackend": false + }, + { + "datasource": { + "type": "prometheus", + "uid": "prometheus" + }, + "disableTextWrap": false, + "editorMode": "builder", + "expr": "histogram_quantile(0.99, sum by(le) (rate(traces_spanmetrics_latency_bucket{source=\"tempo\", span_name=\"$rootspan\"}[$__rate_interval])))", + "fullMetaSearch": false, + "hide": false, + "includeNullMetadata": false, + "instant": false, + "legendFormat": "p99", + "range": true, + "refId": "C", + "useBackend": false + } + ], + "title": "Latency of $rootspan", + "type": "stat" + }, + { + "datasource": { + "type": "prometheus", + "uid": "prometheus" + }, + "fieldConfig": { + "defaults": { + "color": { + "mode": "thresholds" + }, + "mappings": [], + "thresholds": { + "mode": "absolute", + "steps": [ + { + "color": "green", + "value": null + }, + { + "color": "#EAB839", + "value": 1 + }, + { + "color": "red", + "value": 2 + } + ] + }, + "unit": "s" + }, + "overrides": [] + }, + "gridPos": { + "h": 9, + "w": 17, + "x": 7, + "y": 0 + }, + "id": 2, + "options": { + "colorMode": "value", + "graphMode": "area", + "justifyMode": "auto", + "orientation": "auto", + "reduceOptions": { + "calcs": [ + "last" + ], + "fields": "", + "values": false + }, + "textMode": "auto", + "wideLayout": true + }, + "pluginVersion": "10.2.3", + "targets": [ + { + "datasource": { + "type": "prometheus", + "uid": "prometheus" + }, + "disableTextWrap": false, + "editorMode": "code", + "expr": "traces_spanmetrics_latency_sum{source=\"tempo\"} / traces_spanmetrics_latency_count", + "fullMetaSearch": false, + "includeNullMetadata": true, + "instant": false, + "legendFormat": "{{span_name}}", + "range": true, + "refId": "A", + "useBackend": false + } + ], + "title": "Average Duration of all spans", + "type": "stat" + }, + { + "datasource": { + "type": "prometheus", + "uid": "prometheus" + }, + "fieldConfig": { + "defaults": { + "color": { + "mode": "palette-classic" + }, + "custom": { + "axisBorderShow": false, + "axisCenteredZero": false, + "axisColorMode": "text", + "axisLabel": "", + "axisPlacement": "auto", + "barAlignment": 0, + "drawStyle": "line", + "fillOpacity": 0, + "gradientMode": "none", + "hideFrom": { + "legend": false, + "tooltip": false, + "viz": false + }, + "insertNulls": false, + "lineInterpolation": "linear", + "lineWidth": 1, + "pointSize": 5, + "scaleDistribution": { + "type": "linear" + }, + "showPoints": "auto", + "spanNulls": true, + "stacking": { + "group": "A", + "mode": "none" + }, + "thresholdsStyle": { + "mode": "off" + } + }, + "mappings": [], + "thresholds": { + "mode": "absolute", + "steps": [ + { + "color": "green", + "value": null + }, + { + "color": "red", + "value": 80 + } + ] + }, + "unit": "s" + }, + "overrides": [] + }, + "gridPos": { + "h": 20, + "w": 24, + "x": 0, + "y": 9 + }, + "id": 3, + "options": { + "legend": { + "calcs": [], + "displayMode": "list", + "placement": "bottom", + "showLegend": true + }, + "tooltip": { + "mode": "single", + "sort": "none" + } + }, + "pluginVersion": "10.2.3", + "targets": [ + { + "datasource": { + "type": "prometheus", + "uid": "prometheus" + }, + "disableTextWrap": false, + "editorMode": "builder", + "expr": "histogram_quantile(0.99, sum by(le, span_name) (rate(traces_spanmetrics_latency_bucket[$__rate_interval])))", + "fullMetaSearch": false, + "hide": false, + "includeNullMetadata": false, + "instant": false, + "legendFormat": "{{span_name}} p99", + "range": true, + "refId": "B", + "useBackend": false + }, + { + "datasource": { + "type": "prometheus", + "uid": "prometheus" + }, + "editorMode": "code", + "expr": "traces_spanmetrics_latency_sum{source=\"tempo\"} / traces_spanmetrics_latency_count", + "hide": false, + "instant": false, + "legendFormat": "{{span_name}} avg", + "range": true, + "refId": "C" + } + ], + "title": "Percentiles", + "type": "timeseries" + } + ], + "refresh": "10s", + "schemaVersion": 39, + "tags": [], + "templating": { + "list": [ + { + "current": { + "selected": false, + "text": "DocumentChunkRepository.removeExtraneous", + "value": "DocumentChunkRepository.removeExtraneous" + }, + "datasource": { + "type": "prometheus", + "uid": "prometheus" + }, + "definition": "label_values(traces_spanmetrics_latency_bucket,span_name)", + "hide": 0, + "includeAll": false, + "label": "Root Span", + "multi": false, + "name": "rootspan", + "options": [], + "query": { + "qryType": 1, + "query": "label_values(traces_spanmetrics_latency_bucket,span_name)", + "refId": "PrometheusVariableQueryEditor-VariableQuery" + }, + "refresh": 1, + "regex": "", + "skipUrlSync": false, + "sort": 0, + "type": "query" + } + ] + }, + "time": { + "from": "now-1h", + "to": "now" + }, + "timepicker": {}, + "timezone": "", + "title": "OpenAI trace metrics", + "uid": "a9cc61d5-719d-4310-a5fb-3d22fbd491fe", + "version": 5, + "weekStart": "" +} \ No newline at end of file diff --git a/cli-openai/infra/grafana/datasources.yaml b/cli-openai/infra/grafana/datasources.yaml new file mode 100644 index 0000000..3727008 --- /dev/null +++ b/cli-openai/infra/grafana/datasources.yaml @@ -0,0 +1,38 @@ +--- +apiVersion: 1 + +datasources: + - name: Prometheus + type: prometheus + uid: prometheus + access: proxy + orgId: 1 + url: http://prometheus:9090 + basicAuth: false + isDefault: false + version: 1 + editable: false + jsonData: + httpMethod: GET + exemplarTraceIdDestinations: + - datasourceUid: tempo + name: 'traceID' + + - name: Tempo + type: tempo + access: proxy + orgId: 1 + url: http://tempo:3200 + basicAuth: false + isDefault: true + version: 1 + editable: false + apiVersion: 1 + uid: tempo + jsonData: + httpMethod: GET + serviceMap: + datasourceUid: prometheus + spanBar: + type: Tag + tag: span.label diff --git a/cli-openai/infra/grafana/grafana.ini b/cli-openai/infra/grafana/grafana.ini new file mode 100644 index 0000000..007cafb --- /dev/null +++ b/cli-openai/infra/grafana/grafana.ini @@ -0,0 +1,2 @@ +[feature_toggles] +enable = tempoSearch tempoBackendSearch newTraceView newTraceViewHeader diff --git a/cli-openai/infra/prometheus/prometheus.yaml b/cli-openai/infra/prometheus/prometheus.yaml new file mode 100644 index 0000000..557e345 --- /dev/null +++ b/cli-openai/infra/prometheus/prometheus.yaml @@ -0,0 +1,15 @@ +--- +global: + scrape_interval: 15s + evaluation_interval: 15s + +scrape_configs: + - job_name: prometheus + static_configs: + - targets: + - localhost:9090 + + - job_name: tempo + static_configs: + - targets: + - tempo:3200 diff --git a/cli-openai/infra/tempo/tempo.yaml b/cli-openai/infra/tempo/tempo.yaml new file mode 100644 index 0000000..9f4c09b --- /dev/null +++ b/cli-openai/infra/tempo/tempo.yaml @@ -0,0 +1,76 @@ +--- +server: + http_listen_port: 3200 + grpc_server_max_recv_msg_size: 67108864 # 64mb + grpc_server_max_send_msg_size: 67108864 # 64mb + +querier: + frontend_worker: + grpc_client_config: + max_send_msg_size: 67108864 # 64mb + +distributor: + log_received_spans: + enabled: true + include_all_attributes: true + + receivers: # this configuration will listen on all ports and protocols that tempo is capable of. + jaeger: # the receives all come from the OpenTelemetry collector. more configuration information can + protocols: # be found there: https://github.com/open-telemetry/opentelemetry-collector/tree/main/receiver + thrift_http: # + grpc: # for a production deployment you should only enable the receivers you need! + thrift_binary: + thrift_compact: + zipkin: + otlp: + protocols: + http: + grpc: + max_recv_msg_size_mib: 20 + opencensus: + +ingester: + trace_idle_period: 10s # the length of time after a trace has not received spans to consider it complete and flush it + max_block_bytes: 1_000_000 # cut the head block when it hits this size or ... + max_block_duration: 5m # this much time passes + +compactor: + compaction: + compaction_window: 1h # blocks in this time window will be compacted together + max_block_bytes: 100_000_000 # maximum size of compacted blocks + block_retention: 1h + compacted_block_retention: 10m + +# https://grafana.com/docs/tempo/latest/configuration/#metrics-generator +metrics_generator: + registry: + external_labels: + source: tempo + cluster: docker-compose + + storage: + path: /tmp/tempo/wal + remote_write: + - url: http://prometheus:9090/api/v1/write + send_exemplars: true + +overrides: + defaults: + metrics_generator: + processors: [service-graphs, span-metrics] # enables metrics generator + +storage: + trace: + backend: local # backend configuration to use + block: + bloom_filter_false_positive: .05 # bloom filter false positive rate. lower values create larger filters but fewer false positives + v2_index_downsample_bytes: 1000 # number of bytes per index record + v2_encoding: zstd # block encoding/compression. options: none, gzip, lz4-64k, lz4-256k, lz4-1M, lz4, snappy, zstd, s2 + wal: + path: /tmp/tempo/wal # where to store the the wal locally + v2_encoding: snappy # wal encoding/compression. options: none, gzip, lz4-64k, lz4-256k, lz4-1M, lz4, snappy, zstd, s2 + local: + path: /tmp/tempo/blocks + pool: + max_workers: 100 # worker pool determines the number of parallel requests to the object store backend + queue_depth: 10000 diff --git a/cli-openai/package.json b/cli-openai/package.json new file mode 100644 index 0000000..a71e93d --- /dev/null +++ b/cli-openai/package.json @@ -0,0 +1,78 @@ +{ + "name": "@effect/openai", + "version": "0.0.0", + "type": "module", + "packageManager": "pnpm@8.12.1", + "publishConfig": { + "access": "public", + "directory": "dist" + }, + "description": "An OpenAI client written with Effect", + "engines": { + 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0000000..f23a62c --- /dev/null +++ b/cli-openai/scripts/version.mjs @@ -0,0 +1,9 @@ +import * as Fs from "node:fs" +import Package from "../package.json" assert { type: "json" } + +const tpl = Fs.readFileSync("./scripts/version.template.txt").toString("utf8") + +Fs.writeFileSync( + "src/internal/version.ts", + tpl.replace("VERSION", Package.version) +) diff --git a/cli-openai/scripts/version.template.txt b/cli-openai/scripts/version.template.txt new file mode 100644 index 0000000..a7b3fa4 --- /dev/null +++ b/cli-openai/scripts/version.template.txt @@ -0,0 +1 @@ +export const moduleVersion = "VERSION" diff --git a/cli-openai/src/AIContext.ts b/cli-openai/src/AIContext.ts new file mode 100644 index 0000000..b7fec66 --- /dev/null +++ b/cli-openai/src/AIContext.ts @@ -0,0 +1,92 @@ +import * as Context from "effect/Context" +import * as Data from "effect/Data" +import * as Effect from "effect/Effect" +import { pipe } from "effect/Function" +import * as Layer from "effect/Layer" +import * as ReadonlyArray from "effect/ReadonlyArray" +import * as String from "effect/String" +import TikToken from "tiktoken-node" +import type * as DocumentChunk from "./domain/DocumentChunk.js" +import * as DocumentChunkRepository from "./domain/DocumentChunkRepository.js" + +const tokenizer = TikToken.encodingForModel("gpt-3.5-turbo") + +const defaultPrefix = + `Answer any questions in Markdown format, from the following document sections: +---` + +export interface GenerateOptions { + readonly prompt: string + readonly targetTokens: number + readonly maxTokens: number + readonly prefix?: string +} + +export class ContextTooLargeError extends Data.TaggedError("ContextTooLargeError")<{ + readonly requiredTokenCount: number + readonly maxTokenCount: number + readonly tokensToGenerate: number +}> {} + +const make = Effect.gen(function*(_) { + const repository = yield* _(DocumentChunkRepository.DocumentChunkRepository) + + const generate = ({ + maxTokens, + prefix = defaultPrefix, + prompt, + targetTokens + }: GenerateOptions) => { + const requiredTokenCount = tokenizer.encode(`${prefix}\n\n${prompt}`).length + const diffOrZero = Math.max(0, requiredTokenCount - (maxTokens - targetTokens)) + const tokensToGenerate = targetTokens - diffOrZero + return repository.search(prompt).pipe( + Effect.map((results) => { + let tokens = 0 + const chunks: Array = [] + + for (const result of results) { + const tokenCount = result.tokenCount + + if (tokens + tokenCount > tokensToGenerate) { + break + } + + tokens += tokenCount + chunks.push(result) + } + + const chunkContent = pipe( + ReadonlyArray.map(chunks, (chunk) => String.trim(chunk.fullContent)), + ReadonlyArray.join("\n\n--\n\n") + ) + + return { + chunks, + content: `${prefix}\n\n${chunkContent}` + } + }), + Effect.filterOrFail( + () => tokensToGenerate >= 1000, + () => + new ContextTooLargeError({ + requiredTokenCount, + maxTokenCount: maxTokens, + tokensToGenerate + }) + ), + Effect.withSpan("AiContext.generate", { attributes: { prompt } }) + ) + } + + return { generate } as const +}) + +export class AIContext extends Context.Tag("@services/AIContext")< + AIContext, + Effect.Effect.Success +>() { + static readonly Live = Layer.effect(this, make).pipe( + Layer.provide(DocumentChunkRepository.DocumentChunkRepository.Live) + ) +} diff --git a/cli-openai/src/Cli.ts b/cli-openai/src/Cli.ts new file mode 100644 index 0000000..d5ac3f8 --- /dev/null +++ b/cli-openai/src/Cli.ts @@ -0,0 +1,194 @@ +import * as Args from "@effect/cli/Args" +import * as Command from "@effect/cli/Command" +import * as Options from "@effect/cli/Options" +import * as NodeSdk from "@effect/opentelemetry/NodeSdk" +import * as Path from "@effect/platform/Path" +import { PrometheusExporter } from "@opentelemetry/exporter-prometheus" +import { OTLPTraceExporter } from "@opentelemetry/exporter-trace-otlp-http" +import { BatchSpanProcessor } from "@opentelemetry/sdk-trace-base" +import * as Migrator from "@sqlfx/sqlite/Migrator/Node" +import * as SQLite from "@sqlfx/sqlite/node" +import * as Config from "effect/Config" +import * as Context from "effect/Context" +import * as Effect from "effect/Effect" +import * as Layer from "effect/Layer" +import * as Stream from "effect/Stream" +import * as NodePath from "node:path" +// Comment in if not running in Gitpod +// import * as Vss from "sqlite-vss" +import { fileURLToPath } from "url" +import * as Completions from "./Completions.js" +import * as DocumentChunker from "./DocumentChunker.js" +import { AbsolutePath } from "./domain/AbsolutePath.js" +import { CompletionModels, CompletionRequest } from "./domain/CompletionRequest.js" +import { Document } from "./domain/Document.js" +import { moduleVersion } from "./internal/version.js" + +const __filename = fileURLToPath(import.meta.url) +const __dirname = NodePath.dirname(__filename) + +// ============================================================================= +// Command Environment +// ============================================================================= + +export class EmbeddingsDbPath extends Context.Tag("@services/EmbeddingsDbPath")< + EmbeddingsDbPath, + AbsolutePath +>() { + static readonly Live = (embeddings: AbsolutePath) => Layer.succeed(this, embeddings) +} + +const VSSLive = Layer.effectDiscard(Effect.gen(function*(_) { + const sql = yield* _(SQLite.tag) + // Comment in if not running in Gitpod + // yield* _(sql.loadExtension((Vss as any).getVectorLoadablePath())) + // yield* _(sql.loadExtension((Vss as any).getVssLoadablePath())) + const vectorPath = "/nix/store/h1qfi9pc6f1kjigb876flp95qyfxgmzn-sqlite-vss-0.1.2/lib/vector0.so" + const vssPath = "/nix/store/h1qfi9pc6f1kjigb876flp95qyfxgmzn-sqlite-vss-0.1.2/lib/vss0.so" + yield* _(sql.loadExtension(vectorPath)) + yield* _(sql.loadExtension(vssPath)) +})) + +const SQLiteLive = Effect.gen(function*(_) { + const embeddingsDbPath = yield* _(EmbeddingsDbPath) + return Layer.provideMerge( + VSSLive, + SQLite.makeLayer({ + filename: Config.succeed(embeddingsDbPath), + transformQueryNames: Config.succeed(SQLite.transform.camelToSnake), + transformResultNames: Config.succeed(SQLite.transform.snakeToCamel) + }) + ) +}).pipe(Layer.unwrapEffect) + +const MigratorLive = Migrator.makeLayer({ + loader: Migrator.fromDisk(`${__dirname}/migrations`), + schemaDirectory: "src/migrations" +}) + +const TelemetryLive = NodeSdk.layer(() => ({ + resource: { serviceName: "openai-effect" }, + spanProcessor: new BatchSpanProcessor(new OTLPTraceExporter()), + metricReader: new PrometheusExporter() +})) + +const CommandEnvLive = (embeddings: AbsolutePath) => + Layer.mergeAll( + Completions.Completions.Live, + DocumentChunker.DocumentChunker.Live, + MigratorLive, + TelemetryLive + ).pipe( + Layer.provide(SQLiteLive), + Layer.provideMerge(EmbeddingsDbPath.Live(embeddings)) + ) + +// ============================================================================= +// Common Options & Arguments +// ============================================================================= + +const embeddingsDatabase = Options.file("db").pipe( + Options.mapEffect((databasePath) => resolvePath(databasePath)), + Options.withSchema(AbsolutePath) +) + +// ============================================================================= +// Train Command +// ============================================================================= + +const documents = Args.fileText({ name: "document" }).pipe( + Args.mapEffect(([documentPath, content]) => + Effect.all({ + path: resolvePath(documentPath), + content: Effect.succeed(content) + }) + ), + Args.withDescription("A list of documents to use to generate text embeddings"), + Args.withSchema(Document), + Args.repeated +) + +const trainCommand = Command.make("train", { + documents, + embeddings: embeddingsDatabase.pipe( + Options.withDescription( + "The path to a SQLite database which will be used to store the generated " + + "document embeddings" + ) + ) +}).pipe( + Command.withHandler(({ documents }) => + Effect.gen(function*(_) { + const chunker = yield* _(DocumentChunker.DocumentChunker) + yield* _(Effect.forEach( + documents, + (document) => chunker.chunkDocument(document), + { concurrency: 20, discard: true } + )) + }) + ), + Command.provide(({ embeddings }) => CommandEnvLive(embeddings)) +) + +// ============================================================================= +// Prompt Command +// ============================================================================= + +const prompt = Args.text({ name: "prompt" }).pipe( + Args.withDescription("The text prompt to send to OpenAI") +) + +const model = Options.choice("model", CompletionModels).pipe( + Options.withDefault("gpt-4-1106-preview"), + Options.withDescription("The OpenAI model to use to generate the completion") +) + +const promptCommand = Command.make("prompt", { + prompt, + model, + embeddings: embeddingsDatabase.pipe( + Options.withDescription( + "The path to a SQLite database which contains document embeddings " + + "generated using the `train` command" + ) + ) +}).pipe( + Command.withHandler(({ model, prompt }) => + Effect.gen(function*(_) { + const completions = yield* _(Completions.Completions) + const stream = completions.create( + new CompletionRequest({ + input: [{ role: "user", content: prompt }], + model + }) + ) + yield* _( + stream, + Stream.runForEach((output) => Effect.sync(() => process.stdout.write(output))), + Effect.zipRight(Effect.sync(() => process.stdout.write("\n"))) + ) + }) + ), + Command.provide(({ embeddings }) => CommandEnvLive(embeddings)) +) + +const command = Command.make("openai").pipe(Command.withSubcommands([ + trainCommand, + promptCommand +])) + +// ============================================================================= +// CLI Application +// ============================================================================= + +export const run = Command.run(command, { + name: "openai", + version: moduleVersion +}) + +// ============================================================================= +// Utilities +// ============================================================================= + +const resolvePath = (documentPath: string) => + Path.Path.pipe(Effect.map((path) => path.resolve(documentPath))) diff --git a/cli-openai/src/Completions.ts b/cli-openai/src/Completions.ts new file mode 100644 index 0000000..f72189c --- /dev/null +++ b/cli-openai/src/Completions.ts @@ -0,0 +1,102 @@ +import * as Cache from "effect/Cache" +import * as Context from "effect/Context" +import * as Effect from "effect/Effect" +import { pipe } from "effect/Function" +import * as Layer from "effect/Layer" +import * as Option from "effect/Option" +import * as ReadonlyArray from "effect/ReadonlyArray" +import * as Stream from "effect/Stream" +import * as AIContext from "./AIContext.js" +import type * as CompletionRequest from "./domain/CompletionRequest.js" +import * as OpenAI from "./OpenAI.js" + +export const make = Effect.gen(function*(_) { + const aiContext = yield* _(AIContext.AIContext) + const openai = yield* _(OpenAI.OpenAI) + + const cache = yield* _(Cache.make({ + lookup: (_query: string) => Effect.succeedNone as Effect.Effect>, + capacity: 10000, + timeToLive: "3 days" + })) + + const create = (request: CompletionRequest.CompletionRequest) => + Effect.gen(function*(_) { + if (request.input.length === 1) { + const cached = yield* _(cache.get(request.input[0].content)) + if (Option.isSome(cached)) { + return Stream.make(cached.value) + } + } + + const { content } = yield* _( + aiContext.generate({ + prompt: request.userMessages.join("\n\n"), + targetTokens: request.contextTokens.target, + maxTokens: request.contextTokens.max + }) + ) + + const chunks: Array = [] + + let stream = openai.completion({ + system: content, + messages: request.input, + model: request.model, + maxTokens: request.responseTokens + }) + + if (request.input.length === 1) { + stream = stream.pipe( + Stream.tap((_) => Effect.sync(() => chunks.push(_))), + Stream.onDone(() => cache.set(request.input[0].content, Option.some(chunks.join("")))) + ) + } + + return stream + }).pipe( + Stream.unwrap, + Stream.withSpan("Completions.create", { + attributes: { + input: pipe( + ReadonlyArray.last(request.input), + Option.map((_) => _.content), + Option.getOrElse(() => "") + ) + } + }) + ) + + const context = (request: CompletionRequest.CompletionRequest) => + pipe( + aiContext.generate({ + prompt: request.userMessages.join("\n\n"), + targetTokens: request.contextTokens.target, + maxTokens: request.contextTokens.max + }), + Effect.map(({ content }) => content), + Effect.withSpan("Completions.context", { + attributes: { + input: pipe( + ReadonlyArray.last(request.input), + Option.map((_) => _.content), + Option.getOrElse(() => "") + ) + } + }) + ) + + return { + create, + context + } +}) + +export class Completions extends Context.Tag("@services/Completions")< + Completions, + Effect.Effect.Success +>() { + static readonly Live = Layer.effect(this, make).pipe( + Layer.provide(AIContext.AIContext.Live) + ) +} diff --git a/cli-openai/src/DocumentChunker.ts b/cli-openai/src/DocumentChunker.ts new file mode 100644 index 0000000..026a2ea --- /dev/null +++ b/cli-openai/src/DocumentChunker.ts @@ -0,0 +1,113 @@ +import * as Context from "effect/Context" +import * as Effect from "effect/Effect" +import { flow, pipe } from "effect/Function" +import * as Layer from "effect/Layer" +import * as Option from "effect/Option" +import * as ReadonlyArray from "effect/ReadonlyArray" +import * as String from "effect/String" +import type * as Document from "./domain/Document.js" +import * as DocumentChunk from "./domain/DocumentChunk.js" +import * as DocumentChunkRepository from "./domain/DocumentChunkRepository.js" + +export const make = Effect.gen(function*(_) { + const repository = yield* _(DocumentChunkRepository.DocumentChunkRepository) + + const chunkDocument = (document: Document.Document) => + pipe( + splitTitle(document.content), + ReadonlyArray.map((parsed) => + new DocumentChunk.ParsedDocumentChunk({ + path: document.path, + ...parsed + }) + ), + Effect.forEach( + (parsedChunk) => repository.upsert(parsedChunk.forInsert), + { concurrency: "unbounded", batching: true } + ), + Effect.tap((chunks) => + repository.removeExtraneous( + document.path, + ReadonlyArray.map(chunks, (chunk) => chunk.contentHash) + ) + ), + Effect.annotateLogs("service", "DocumentChunker"), + Effect.annotateLogs("method", "chunkDocument"), + Effect.annotateLogs("path", document.path), + Effect.withSpan("DocumentChunker.chunkDocument", { attributes: { path: document.path } }) + ) + + return { + chunkDocument + } as const +}) + +export class DocumentChunker extends Context.Tag("@services/DocumentChunker")< + DocumentChunker, + Effect.Effect.Success +>() { + static readonly Live = Layer.effect(DocumentChunker, make).pipe( + Layer.provide(DocumentChunkRepository.DocumentChunkRepository.Live) + ) +} + +const splitTitle = (content: string) => { + const chunks = content.split(/^#+\s+/m) + + if (chunks.length === 1) { + return [ + { + title: Option.none(), + subtitle: Option.none(), + content: chunks[0] + } + ] + } + + return pipe( + ReadonlyArray.drop(chunks, 1), + ReadonlyArray.filterMap(nonEmptyString), + ReadonlyArray.flatMap((content) => { + const [title, ...rest] = String.split(content, "\n") + content = String.trimStart(ReadonlyArray.join(rest, "\n")) + return ReadonlyArray.map(splitSubtitle(content), (section) => ({ + title: Option.some(title), + ...section + })) + }) + ) +} + +const splitSubtitle = (content: string) => { + const chunks = content.split(/^##\s+/m) + + if (chunks.length === 1) { + return [{ + subtitle: Option.none(), + content: chunks[0] + }] + } + + return pipe( + ReadonlyArray.filterMap(chunks, nonEmptyString), + ReadonlyArray.map((content) => { + const [subtitle, ...rest] = String.split(content, "\n") + content = String.trimStart(ReadonlyArray.join(rest, "\n")) + if (content === "") { + return { + subtitle: Option.none(), + content: subtitle + } + } + return { + subtitle: nonEmptyString(subtitle), + content + } as const + }) + ) +} + +const nonEmptyString = flow( + String.trim, + Option.liftPredicate(String.isNonEmpty) +) diff --git a/cli-openai/src/Embeddings.ts b/cli-openai/src/Embeddings.ts new file mode 100644 index 0000000..56eae94 --- /dev/null +++ b/cli-openai/src/Embeddings.ts @@ -0,0 +1,88 @@ +import * as ExperimentalRequestResolver from "@effect/experimental/RequestResolver" +import * as Schema from "@effect/schema/Schema" +import * as Context from "effect/Context" +import * as Duration from "effect/Duration" +import * as Effect from "effect/Effect" +import * as Layer from "effect/Layer" +import * as Request from "effect/Request" +import * as RequestResolver from "effect/RequestResolver" +import * as Schedule from "effect/Schedule" +import * as OpenAI from "./OpenAI.js" + +export const FromSql = Schema.Uint8ArrayFromSelf.pipe( + Schema.transform( + Schema.instanceOf(Float32Array), + (_) => new Float32Array(_.buffer, _.byteOffset, _.byteLength / 4), + (_) => new Uint8Array(_.buffer, _.byteOffset, _.byteLength) + ) +) + +const retryPolicy = Schedule.fixed(Duration.millis(100)).pipe( + Schedule.compose(Schedule.recurs(3)) +) + +const make = Effect.gen(function*(_) { + const openai = yield* _(OpenAI.OpenAI) + const cache = yield* _(Request.makeCache({ capacity: 5000, timeToLive: "1 days" })) + + interface EmbeddingRequest extends Request.Request { + readonly _tag: "EmbeddingRequest" + readonly input: string + } + const EmbeddingRequest = Request.tagged("EmbeddingRequest") + + const createEmbedding = (input: ReadonlyArray) => + openai.call((_) => + _.embeddings.create({ + model: "text-embedding-ada-002", + input: input.map((request) => request.input) + }) + ).pipe( + Effect.map((response) => response.data), + Effect.retry(retryPolicy), + Effect.withSpan("Embeddings.createEmbedding") + ) + + const resolver = RequestResolver.makeBatched((requests: Array) => + createEmbedding(requests).pipe( + Effect.flatMap((results) => + Effect.forEach( + results, + ({ embedding, index }) => Request.succeed(requests[index], new Float32Array(embedding)), + { discard: true } + ) + ), + Effect.catchAll((error) => + Effect.forEach(requests, (request) => Request.fail(request, error), { + discard: true + }) + ) + ) + ) + + const resolverDelayed = yield* _(ExperimentalRequestResolver.dataLoader( + resolver, + { window: Duration.millis(500) } + )) + + const single = (input: string) => + Effect.request(EmbeddingRequest({ input }), resolver).pipe( + Effect.withRequestCache(cache), + Effect.withRequestCaching(true), + Effect.withSpan("Embeddings.single") + ) + + const batched = (input: string) => + Effect.request(EmbeddingRequest({ input }), resolverDelayed).pipe( + Effect.withSpan("Embeddings.batched") + ) + + return { single, batched } as const +}) + +export class Embeddings extends Context.Tag("@services/Embeddings")< + Embeddings, + Effect.Effect.Success +>() { + static readonly Live = Layer.scoped(this, make) +} diff --git a/cli-openai/src/OpenAI.ts b/cli-openai/src/OpenAI.ts new file mode 100644 index 0000000..e552420 --- /dev/null +++ b/cli-openai/src/OpenAI.ts @@ -0,0 +1,97 @@ +import * as Config from "effect/Config" +import * as Context from "effect/Context" +import * as Data from "effect/Data" +import * as Effect from "effect/Effect" +import * as Layer from "effect/Layer" +import * as Option from "effect/Option" +import * as Secret from "effect/Secret" +import * as Stream from "effect/Stream" +import { OpenAI as OpenAIApi } from "openai" +import * as RateLimiter from "./RateLimiter.js" + +export class OpenAIError extends Data.TaggedError("OpenAIError")<{ + readonly error: unknown +}> {} + +export interface OpenAIOptions { + readonly apiKey: Secret.Secret + readonly organization: Option.Option +} + +const handleError = (error: unknown) => + new OpenAIError({ + error: (error as any).error?.message ?? error + }) + +const make = (options: OpenAIOptions) => + Effect.gen(function*(_) { + // For now, we just create a simple rate limiter to enforce the 5000 request + // per minute rate limit we have with OpenAI. However, the rate limiter + // factory is flexible enough to allow us to create separate rate limiters + // for different use cases. + const rateLimiter = yield* _(RateLimiter.make(5000, "1 minutes")) + + const client = yield* _(Effect.sync(() => + new OpenAIApi({ + apiKey: Secret.value(options.apiKey), + organization: options.organization.pipe( + Option.map(Secret.value), + Option.getOrNull + ) + }) + )) + + const call = (f: (api: OpenAIApi, signal: AbortSignal) => Promise) => + rateLimiter.take.pipe( + Effect.zipRight(Effect.tryPromise({ + try: (signal) => f(client, signal), + catch: handleError + })), + Effect.withSpan("OpenAI.call") + ) + + const completion = (options: { + readonly model: string + readonly system: string + readonly maxTokens: number + readonly messages: ReadonlyArray + }) => + call((_, signal) => + _.chat.completions.create( + { + model: options.model, + temperature: 0.1, + max_tokens: options.maxTokens, + messages: [ + { + role: "system", + content: options.system + }, + ...options.messages + ], + stream: true + }, + { signal } + ) + ).pipe( + Effect.map((stream) => Stream.fromAsyncIterable(stream, handleError)), + Stream.unwrap, + Stream.filterMap((chunk) => Option.fromNullable(chunk.choices[0].delta.content)) + ) + + return { + client, + call, + completion + } + }) + +export class OpenAI extends Context.Tag("@services/OpenAI")< + OpenAI, + Effect.Effect.Success> +>() { + static readonly Live = (config: Config.Config.Wrap) => + Layer.scoped(OpenAI, Config.unwrap(config).pipe(Effect.flatMap(make))).pipe( + Layer.provide(RateLimiter.FactoryLive) + ) +} diff --git a/cli-openai/src/RateLimiter.ts b/cli-openai/src/RateLimiter.ts new file mode 100644 index 0000000..124680a --- /dev/null +++ b/cli-openai/src/RateLimiter.ts @@ -0,0 +1,84 @@ +import type { Duration, Scope } from "effect" +import { Context, Deferred, Effect, Fiber, Layer, Option, Queue, Ref } from "effect" + +export interface RateLimiter { + readonly take: Effect.Effect +} + +export declare namespace RateLimiter { + export interface Factory { + readonly make: ( + limit: number, + window: Duration.DurationInput + ) => Effect.Effect + } +} + +export const Factory = Context.GenericTag("@services/Factory") + +export const FactoryLive = Layer.sync(Factory, () => factory) + +export const make = Effect.serviceFunctionEffect(Factory, (factory) => factory.make) + +const factory = Factory.of({ + make: (limit, window) => + Effect.gen(function*(_) { + const counter = yield* _(Ref.make(limit)) + const scope = yield* _(Effect.scope) + + const queue = yield* _(Effect.acquireRelease( + Queue.unbounded>(), + (queue) => Queue.shutdown(queue) + )) + + const reset = Effect.delay(Ref.set(counter, limit), window) + const resetRef = yield* _(Ref.make(Option.none>())) + const maybeReset = Ref.get(resetRef).pipe( + Effect.tap(Option.match({ + onNone: () => + reset.pipe( + Effect.zipRight(Ref.set(resetRef, Option.none())), + Effect.forkIn(scope), + Effect.flatMap((fiber) => Ref.set(resetRef, Option.some(fiber))) + ), + onSome: () => Effect.unit + })) + ) + + const worker = Ref.get(counter).pipe( + Effect.flatMap((count) => { + if (count <= 0) { + return Ref.get(resetRef).pipe( + Effect.map(Option.match({ + onNone: () => Effect.unit, + onSome: (fiber) => Effect.asUnit(Fiber.await(fiber)) + })), + Effect.zipRight(Queue.takeBetween(queue, 1, limit)) + ) + } + return Queue.takeBetween(queue, 1, count) + }), + Effect.flatMap(Effect.filter(Deferred.isDone, { negate: true })), + Effect.tap((chunk) => Ref.update(counter, (count) => count - chunk.length)), + Effect.zipLeft(maybeReset), + Effect.flatMap(Effect.forEach( + (deferred) => Deferred.complete(deferred, Effect.unit), + { discard: true } + )), + Effect.forever + ) + + yield* _(Effect.forkIn(worker, scope)) + + return { + take: Deferred.make().pipe( + Effect.tap((deferred) => Queue.offer(queue, deferred)), + Effect.flatMap((deferred) => + Deferred.await(deferred).pipe( + Effect.onInterrupt(() => Deferred.interrupt(deferred)) + ) + ) + ) + } + }) +}) diff --git a/cli-openai/src/bin.ts b/cli-openai/src/bin.ts new file mode 100644 index 0000000..e8a2b96 --- /dev/null +++ b/cli-openai/src/bin.ts @@ -0,0 +1,33 @@ +#!/usr/bin/env node + +import * as DevTools from "@effect/experimental/DevTools" +import * as NodeContext from "@effect/platform-node/NodeContext" +import * as NodeRuntime from "@effect/platform-node/NodeRuntime" +import * as Config from "effect/Config" +import * as ConfigProvider from "effect/ConfigProvider" +import * as Effect from "effect/Effect" +import * as Layer from "effect/Layer" +import * as Cli from "./Cli.js" +import * as OpenAI from "./OpenAI.js" + +const OpenAILive = OpenAI.OpenAI.Live({ + apiKey: Config.secret("apiKey"), + organization: Config.option(Config.secret("organization")) +}) + +const ConfigProviderLive = Layer.setConfigProvider( + ConfigProvider.fromEnv({ pathDelim: "_", seqDelim: "," }).pipe( + ConfigProvider.nested("openai"), + ConfigProvider.constantCase + ) +) + +const MainLive = Layer.mergeAll(NodeContext.layer, OpenAILive).pipe( + Layer.provide(DevTools.layer()), + Layer.provide(ConfigProviderLive) +) + +Cli.run(process.argv).pipe( + Effect.provide(MainLive), + NodeRuntime.runMain +) diff --git a/cli-openai/src/domain/AbsolutePath.ts b/cli-openai/src/domain/AbsolutePath.ts new file mode 100644 index 0000000..f24389b --- /dev/null +++ b/cli-openai/src/domain/AbsolutePath.ts @@ -0,0 +1,19 @@ +import * as Schema from "@effect/schema/Schema" +import * as Brand from "effect/Brand" + +/** + * Represents the character code for the forward slash character (i.e. `/`). + */ +const CHAR_FORWARD_SLASH = 47 + +/** + * Represents an absolute file system path. + */ +export type AbsolutePath = string & Brand.Brand<"AbsolutePath"> + +export const AbsolutePath = Schema.string.pipe(Schema.fromBrand( + Brand.refined( + (path) => path.charCodeAt(0) === CHAR_FORWARD_SLASH, + (path) => Brand.error(`The provided path "${path}" is not an absolute path`) + ) +)) diff --git a/cli-openai/src/domain/CompletionRequest.ts b/cli-openai/src/domain/CompletionRequest.ts new file mode 100644 index 0000000..1bcaf35 --- /dev/null +++ b/cli-openai/src/domain/CompletionRequest.ts @@ -0,0 +1,49 @@ +import * as Schema from "@effect/schema/Schema" +import { pipe } from "effect/Function" +import * as Match from "effect/Match" +import * as ReadonlyArray from "effect/ReadonlyArray" + +const Message = Schema.struct({ + role: Schema.literal("user", "assistant"), + name: Schema.optional(Schema.string, { exact: true }), + content: Schema.string +}) + +export const CompletionModels = [ + "gpt-3.5-turbo-0613", + "gpt-3.5-turbo-16k", + "gpt-4-1106-preview" +] as const + +export const CompletionModel = Schema.literal(...CompletionModels) + +export class CompletionRequest extends Schema.Class()({ + input: Schema.array(Message), + model: CompletionModel +}) { + get contextTokens(): { readonly target: number; readonly max: number } { + return pipe( + Match.value(this.model), + Match.when("gpt-3.5-turbo-16k", () => ({ target: 5000, max: 15000 })), + Match.when("gpt-4-1106-preview", () => ({ target: 5000, max: 32000 })), + Match.orElse(() => ({ target: 3500, max: 3500 })) + ) + } + + get responseTokens(): number { + return pipe( + Match.value(this.model), + Match.when("gpt-3.5-turbo-16k", () => 1028), + Match.when("gpt-4-1106-preview", () => 1028), + Match.orElse(() => 500) + ) + } + + get userMessages(): ReadonlyArray { + return pipe( + this.input, + ReadonlyArray.filter((_) => _.role === "user"), + ReadonlyArray.map((_) => _.content) + ) + } +} diff --git a/cli-openai/src/domain/Document.ts b/cli-openai/src/domain/Document.ts new file mode 100644 index 0000000..744edc8 --- /dev/null +++ b/cli-openai/src/domain/Document.ts @@ -0,0 +1,11 @@ +import * as Schema from "@effect/schema/Schema" +import * as AbsolutePath from "./AbsolutePath.js" + +/** + * Represents a document whose content can be chunked and used to create an + * embedding. + */ +export class Document extends Schema.Class()({ + path: AbsolutePath.AbsolutePath, + content: Schema.string +}) {} diff --git a/cli-openai/src/domain/DocumentChunk.ts b/cli-openai/src/domain/DocumentChunk.ts new file mode 100644 index 0000000..6416a7b --- /dev/null +++ b/cli-openai/src/domain/DocumentChunk.ts @@ -0,0 +1,43 @@ +import * as Schema from "@effect/schema/Schema" +import * as Hash from "effect/Hash" +import * as Option from "effect/Option" +import TikToken from "tiktoken-node" +import * as AbsolutePath from "./AbsolutePath.js" + +const tokenizer = TikToken.encodingForModel("gpt-3.5-turbo") + +export class ParsedDocumentChunk extends Schema.Class()({ + path: AbsolutePath.AbsolutePath, + title: Schema.optionFromNullable(Schema.string), + subtitle: Schema.optionFromNullable(Schema.string), + content: Schema.string +}) { + get forInsert() { + return { + ...this, + contentHash: Hash.hash(this), + embeddings: Option.none(), + tokenCount: tokenizer.encode(this.fullContent).length + } + } + + get fullContent(): string { + const titleMd = Option.match(this.title, { + onNone: () => "", + onSome: (_) => `# ${_}\n\n` + }) + const subtitleMd = Option.match(this.subtitle, { + onNone: () => "", + onSome: (_) => `## ${_}\n\n` + }) + return `${titleMd}${subtitleMd}${this.content}` + } +} + +export class DocumentChunk extends ParsedDocumentChunk.extend()({ + id: Schema.number, + contentHash: Schema.number, + tokenCount: Schema.number, + createdAt: Schema.Date, + updatedAt: Schema.Date +}) {} diff --git a/cli-openai/src/domain/DocumentChunkRepository.ts b/cli-openai/src/domain/DocumentChunkRepository.ts new file mode 100644 index 0000000..1fd3d40 --- /dev/null +++ b/cli-openai/src/domain/DocumentChunkRepository.ts @@ -0,0 +1,176 @@ +import * as ExperimentalRequestResolver from "@effect/experimental/RequestResolver" +import { TreeFormatter } from "@effect/schema" +import * as Schema from "@effect/schema/Schema" +import * as SQLite from "@sqlfx/sqlite/Client" +import type * as SqlError from "@sqlfx/sqlite/Error" +import * as Context from "effect/Context" +import * as Data from "effect/Data" +import * as Effect from "effect/Effect" +import { flow } from "effect/Function" +import * as Inspectable from "effect/Inspectable" +import * as Layer from "effect/Layer" +import * as Option from "effect/Option" +import * as Predicate from "effect/Predicate" +import * as ReadonlyArray from "effect/ReadonlyArray" +import * as Embedding from "../Embeddings.js" +import type * as OpenAI from "../OpenAI.js" +import * as DocumentChunk from "./DocumentChunk.js" + +export class DocumentChunkRepositoryError extends Data.TaggedError("DocumentChunkRepositoryError")<{ + readonly method: string + readonly error: + | SqlError.SqlError + | SqlError.SchemaError + | OpenAI.OpenAIError + | SqlError.ResultLengthMismatch +}> { + get message() { + const message = Predicate.isTagged(this.error, "SchemaError") + ? TreeFormatter.formatIssue(this.error.error) + : Predicate.isTagged(this.error, "OpenAIError") + ? Inspectable.format(this.error.error) + : "message" in this.error + ? this.error.message + : Inspectable.format(this.error) + return `${this.method} failed: ${message}` + } +} + +export const DocumentChunkForInsert = DocumentChunk.DocumentChunk.struct.pipe( + Schema.omit("id", "createdAt", "updatedAt") +) +export type ChunkForInsert = Schema.Schema.To + +const make = Effect.gen(function*(_) { + const embedding = yield* _(Embedding.Embeddings) + const sql = yield* _(SQLite.tag) + + const getEmbeddings = flow( + sql.schemaSingleOption( + Schema.number, + Embedding.FromSql, + (id) => + sql<{ embedding: Uint8Array }>` + SELECT rowid, embedding + FROM vss_chunks + WHERE rowid = ${id} + `.pipe(Effect.map(ReadonlyArray.map(({ embedding }) => embedding))) + ), + Effect.withSpan("DocumentChunkRepository.getEmbeddings") + ) + + const setEmbeddings = flow( + sql.schemaVoid( + Schema.struct({ + id: Schema.number, + embeddings: Embedding.FromSql + }), + ({ embeddings, id }) => + sql`INSERT INTO vss_chunks(rowid, embedding) + VALUES (${id}, ${embeddings})` + ), + Effect.withSpan("DocumentChunkRepository.setEmbeddings") + ) + + const Upsert = sql.resolver("UpsertDocumentChunk", { + request: DocumentChunkForInsert, + result: DocumentChunk.DocumentChunk, + run: (chunk) => + sql`INSERT INTO document_chunks ${sql.insert(chunk)} + ON CONFLICT (content_hash) DO UPDATE + SET content_hash = EXCLUDED.content_hash + RETURNING *` + }) + + const upsertResolver = yield* _(ExperimentalRequestResolver.dataLoader( + Upsert.Resolver, + { window: "500 millis" } + )) + + const upsertDebounced = Upsert.makeExecute(upsertResolver) + + const upsert = (chunk: ChunkForInsert) => + upsertDebounced(chunk).pipe( + Effect.bindTo("chunk"), + Effect.bind("embeddings", ({ chunk }) => getEmbeddings(chunk.id)), + Effect.flatMap(({ chunk, embeddings }) => { + return Option.match(embeddings, { + onNone: () => + Effect.log("Generating embeddings").pipe( + Effect.zipRight(embedding.batched(chunk.fullContent)), + Effect.flatMap((embeddings) => setEmbeddings({ id: chunk.id, embeddings })), + Effect.as(chunk), + Effect.annotateLogs("chunkId", chunk.id.toString()) + ), + onSome: () => Effect.succeed(chunk) + }) + }), + Effect.mapError((error) => new DocumentChunkRepositoryError({ method: "upsert", error })), + Effect.withSpan("DocumentChunkRepository.upsert", { + attributes: { + path: chunk.path, + title: Option.getOrElse(chunk.title, () => "") + } + }) + ) + + const removeExtraneous = (path: string, hashes: ReadonlyArray) => + sql` + DELETE FROM document_chunks + WHERE path = ${path} AND content_hash NOT IN ${sql(hashes)} + `.pipe( + Effect.mapError( + (error) => new DocumentChunkRepositoryError({ method: "removeExtranous", error }) + ), + Effect.asUnit, + Effect.withSpan("DocumentChunkRepository.removeExtraneous") + ) + + const searchByEmbedding = flow( + sql.schema( + Schema.struct({ + embedding: Embedding.FromSql, + limit: Schema.optional(Schema.number) + }), + DocumentChunk.DocumentChunk, + ({ embedding, limit = 35 }) => + sql` + WITH matches AS ( + SELECT rowid, distance + FROM vss_chunks + WHERE vss_search(embedding, ${embedding}) + ORDER BY distance ASC + LIMIT ${limit} + ) + SELECT document_chunks.*, matches.distance + FROM matches + LEFT join document_chunks on document_chunks.id = matches.rowid + ` + ), + Effect.withSpan("DocumentChunkRepository.searchByEmbedding") + ) + + const search = (query: string, limit?: number) => + embedding.single(query).pipe( + Effect.flatMap((embedding) => searchByEmbedding({ embedding, limit })), + Effect.withSpan("DocumentChunkRepository.search", { attributes: { query, limit } }) + ) + + return { + removeExtraneous, + getEmbeddings, + setEmbeddings, + upsert, + search + } as const +}) + +export class DocumentChunkRepository extends Context.Tag("@services/DocumentChunkRepository")< + DocumentChunkRepository, + Effect.Effect.Success +>() { + static readonly Live = Layer.provide( + Layer.scoped(this, make), + Embedding.Embeddings.Live + ) +} diff --git a/cli-openai/src/internal/version.ts b/cli-openai/src/internal/version.ts new file mode 100644 index 0000000..260a350 --- /dev/null +++ b/cli-openai/src/internal/version.ts @@ -0,0 +1 @@ +export const moduleVersion = "0.0.0" diff --git a/cli-openai/src/migrations/00001_create_document_chunks.ts b/cli-openai/src/migrations/00001_create_document_chunks.ts new file mode 100644 index 0000000..958cd57 --- /dev/null +++ b/cli-openai/src/migrations/00001_create_document_chunks.ts @@ -0,0 +1,17 @@ +import * as SQLite from "@sqlfx/sqlite/Client" +import * as Effect from "effect/Effect" + +export default Effect.flatMap(SQLite.tag, (sql) => + sql` + CREATE TABLE document_chunks ( + id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL, + path TEXT NOT NULL, + title TEXT, + subtitle TEXT, + content TEXT NOT NULL, + content_hash INTEGER NOT NULL, + token_count INTEGER NOT NULL, + created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP + ) + `) diff --git a/cli-openai/src/migrations/00002_document_chunk_unique_index.ts b/cli-openai/src/migrations/00002_document_chunk_unique_index.ts new file mode 100644 index 0000000..50046b7 --- /dev/null +++ b/cli-openai/src/migrations/00002_document_chunk_unique_index.ts @@ -0,0 +1,8 @@ +import * as SQLite from "@sqlfx/sqlite/Client" +import * as Effect from "effect/Effect" + +export default Effect.flatMap(SQLite.tag, (sql) => + sql` + CREATE UNIQUE INDEX document_chunks_content_hash_idx + ON document_chunks (content_hash) + `) diff --git a/cli-openai/src/migrations/00003_create_vss_chunks.ts b/cli-openai/src/migrations/00003_create_vss_chunks.ts new file mode 100644 index 0000000..3032833 --- /dev/null +++ b/cli-openai/src/migrations/00003_create_vss_chunks.ts @@ -0,0 +1,8 @@ +import * as SQLite from "@sqlfx/sqlite/Client" +import * as Effect from "effect/Effect" + +export default Effect.flatMap(SQLite.tag, (sql) => + sql` + CREATE VIRTUAL TABLE vss_chunks + USING vss0(embedding(1536)) + `) diff --git a/cli-openai/src/migrations/_schema.sql b/cli-openai/src/migrations/_schema.sql new file mode 100644 index 0000000..27d1b7e --- /dev/null +++ b/cli-openai/src/migrations/_schema.sql @@ -0,0 +1,27 @@ +CREATE TABLE IF NOT EXISTS "sqlfx_migrations" ( + migration_id integer PRIMARY KEY NOT NULL, + created_at datetime NOT NULL DEFAULT current_timestamp, + name VARCHAR(255) NOT NULL + ); +CREATE TABLE document_chunks ( + id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL, + path TEXT NOT NULL, + title TEXT, + subtitle TEXT, + content TEXT NOT NULL, + content_hash INTEGER NOT NULL, + token_count INTEGER NOT NULL, + created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP + ); + +CREATE UNIQUE INDEX document_chunks_content_hash_idx + ON document_chunks (content_hash); +CREATE VIRTUAL TABLE vss_chunks + USING vss0(embedding(1536)); +CREATE TABLE IF NOT EXISTS "vss_chunks_index"(rowid integer primary key autoincrement, idx); +CREATE TABLE IF NOT EXISTS "vss_chunks_data"(rowid integer primary key autoincrement, _); + +INSERT INTO sqlfx_migrations VALUES(1,'2024-02-22 07:42:38','create_document_chunks'); +INSERT INTO sqlfx_migrations VALUES(2,'2024-02-22 07:42:38','document_chunk_unique_index'); +INSERT INTO sqlfx_migrations VALUES(3,'2024-02-22 07:42:38','create_vss_chunks'); \ No newline at end of file diff --git a/cli-openai/tsconfig.base.json b/cli-openai/tsconfig.base.json new file mode 100644 index 0000000..adbf25a --- /dev/null +++ b/cli-openai/tsconfig.base.json @@ -0,0 +1,47 @@ +{ + "include": [], + "compilerOptions": { + "strict": true, + "moduleDetection": "force", + "downlevelIteration": true, + "resolveJsonModule": true, + "esModuleInterop": false, + "skipLibCheck": true, + "exactOptionalPropertyTypes": true, + "emitDecoratorMetadata": false, + "experimentalDecorators": true, + "moduleResolution": "NodeNext", + "lib": ["ES2022", "DOM"], + "isolatedModules": true, + "sourceMap": true, + "noImplicitReturns": false, + "noUnusedLocals": true, + "noUnusedParameters": false, + "noFallthroughCasesInSwitch": true, + "noEmitOnError": false, + "noErrorTruncation": false, + "allowJs": false, + "checkJs": false, + "forceConsistentCasingInFileNames": true, + "stripInternal": true, + "noImplicitAny": true, + "noImplicitThis": true, + "noUncheckedIndexedAccess": false, + "strictNullChecks": true, + "baseUrl": ".", + "target": "ES2022", + "module": "NodeNext", + "incremental": true, + "removeComments": false, + "paths": { + "@effect/openai": ["./src/index.js"], + "@effect/openai/*": ["./src/*.js"] + }, + "types": ["node"], + "plugins": [ + { + "name": "@effect/language-service" + } + ] + } +} diff --git a/cli-openai/tsconfig.build.json b/cli-openai/tsconfig.build.json new file mode 100644 index 0000000..ce2d860 --- /dev/null +++ b/cli-openai/tsconfig.build.json @@ -0,0 +1,12 @@ +{ + "extends": "./tsconfig.base.json", + "include": [ + "src" + ], + "compilerOptions": { + "outDir": "dist", + "declarationDir": "dist", + "tsBuildInfoFile": ".tsbuildinfo/build.tsbuildinfo", + "rootDir": "src" + } +} diff --git a/cli-openai/tsconfig.json b/cli-openai/tsconfig.json new file mode 100644 index 0000000..7e1f498 --- /dev/null +++ b/cli-openai/tsconfig.json @@ -0,0 +1,11 @@ +{ + "extends": "./tsconfig.base.json", + "references": [ + { + "path": "./tsconfig.build.json" + }, + { + "path": "./tsconfig.test.json" + } + ] +} diff --git a/cli-openai/tsconfig.test.json b/cli-openai/tsconfig.test.json new file mode 100644 index 0000000..3a300eb --- /dev/null +++ b/cli-openai/tsconfig.test.json @@ -0,0 +1,13 @@ +{ + "extends": "./tsconfig.base.json", + "include": [ + "src", + "test" + ], + "compilerOptions": { + "tsBuildInfoFile": ".tsbuildinfo/test.tsbuildinfo", + "rootDir": ".", + "noEmit": true, + "noUnusedLocals": false + } +} diff --git a/cli-openai/tsup.config.ts b/cli-openai/tsup.config.ts new file mode 100644 index 0000000..afedf95 --- /dev/null +++ b/cli-openai/tsup.config.ts @@ -0,0 +1,8 @@ +import { defineConfig } from "tsup" + +export default defineConfig({ + entry: ["src/bin.ts"], + clean: true, + publicDir: true, + noExternal: [/(effect|@effect)/] +}) diff --git a/cli-openai/vitest.config.ts b/cli-openai/vitest.config.ts new file mode 100644 index 0000000..ac64b17 --- /dev/null +++ b/cli-openai/vitest.config.ts @@ -0,0 +1,14 @@ +/// +import path from "path" +import { defineConfig } from "vite" + +export default defineConfig({ + test: { + include: ["./test/**/*.ts"] + }, + resolve: { + alias: { + "@effect/docgen": path.resolve(__dirname, "src") + } + } +}) diff --git a/cli/package.json b/cli-wttr/package.json similarity index 100% rename from cli/package.json rename to cli-wttr/package.json diff --git a/cli/src/wttr.ts b/cli-wttr/src/wttr.ts similarity index 100% rename from cli/src/wttr.ts rename to cli-wttr/src/wttr.ts diff --git a/cli/tsconfig.json b/cli-wttr/tsconfig.json similarity index 100% rename from cli/tsconfig.json rename to cli-wttr/tsconfig.json diff --git a/flake.lock b/flake.lock index 6d104eb..26e0cbb 100644 --- a/flake.lock +++ b/flake.lock @@ -5,11 +5,11 @@ "systems": "systems" }, "locked": { - "lastModified": 1694529238, - "narHash": "sha256-zsNZZGTGnMOf9YpHKJqMSsa0dXbfmxeoJ7xHlrt+xmY=", + "lastModified": 1710146030, + "narHash": "sha256-SZ5L6eA7HJ/nmkzGG7/ISclqe6oZdOZTNoesiInkXPQ=", "owner": "numtide", "repo": "flake-utils", - "rev": "ff7b65b44d01cf9ba6a71320833626af21126384", + "rev": "b1d9ab70662946ef0850d488da1c9019f3a9752a", "type": "github" }, "original": { @@ -20,11 +20,11 @@ }, "nixpkgs": { "locked": { - "lastModified": 1695389217, - "narHash": "sha256-0aLDi/kg9TKn7RZZ3yXBpyGu1wUrD2d7RdQrFTGWK8Q=", + "lastModified": 1705957679, + "narHash": "sha256-Q8LJaVZGJ9wo33wBafvZSzapYsjOaNjP/pOnSiKVGHY=", "owner": "NixOS", "repo": "nixpkgs", - "rev": "ba429b3a64f02b7539cfb0caa70b1303356aeb54", + "rev": "9a333eaa80901efe01df07eade2c16d183761fa3", "type": "github" }, "original": { diff --git a/flake.nix b/flake.nix index b317b14..b1b6e89 100644 --- a/flake.nix +++ b/flake.nix @@ -4,23 +4,25 @@ flake-utils.url = "github:numtide/flake-utils"; }; - outputs = { self, nixpkgs, flake-utils }: - flake-utils.lib.eachDefaultSystem (system: - let - pkgs = nixpkgs.legacyPackages.${system}; - corepack = pkgs.runCommand "corepack-enable" {} '' - mkdir -p $out/bin - ${pkgs.nodejs_20}/bin/corepack enable --install-directory $out/bin - ''; - in - { - devShell = with pkgs; pkgs.mkShell { + outputs = { + self, + nixpkgs, + flake-utils, + }: + flake-utils.lib.eachDefaultSystem (system: let + pkgs = nixpkgs.legacyPackages.${system}; + corepack = pkgs.runCommand "corepack-enable" {} '' + mkdir -p $out/bin + ${pkgs.nodejs_20}/bin/corepack enable --install-directory $out/bin + ''; + in { + devShell = with pkgs; + pkgs.mkShell { buildInputs = [ act nodejs_20 corepack ]; }; - - }); + }); }