+ +
+ +# @inferable/pg-stat-analysis + +[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) + +## Overview + +`@inferable/pg-stat-analysis` is an analytical agent designed to evaluate and improve the performance of your PostgreSQL database through recommendations based on access patterns. The agent provides suggestions such as creating indexes or other optimization strategies to enhance query performance. It makes use of the `pg_stat_statements` extension to provide data-driven recommendations. + +## Prerequisites + +- **Node.js** - Ensure you have Node.js installed. +- **PostgreSQL** - A running PostgreSQL instance with the `pg_stat_statements` [extension enabled](https://www.postgresql.org/docs/current/pgstatstatements.html). +- **Data Connector** - This projects assumes you are runnign the [Inferable Data Connector](https://github.com/inferablehq/inferable/tree/main/data-connector) which provides the connection to your database. + +## Installation + +1. **Install Dependencies:** + + ```bash + npm install + ``` + +2. **Environment Setup:** + + Create a `.env` file in the project root with the following variable: + + ``` + INFERABLE_API_SECRET=your_inferable_api_secret + ``` + + Replace `your_inferable_api_secret` with your Cluster's [API secret](https://docs.inferable.ai/pages/auth#cluster-api-keys). + +## Usage + +Once the environment is set up, you can run the project in development mode using the following command: + +```bash +npm run dev +``` + +This will initiate the agent, which will analyze your database and provide performance-enhancing recommendations stored in `history.json`. +Multiple runs will append to the existing data in `history.json`. + +## Contributing + +Contributions are welcome! 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b/examples/pg-stat-analysis/package.json @@ -0,0 +1,19 @@ +{ + "name": "@inferable/pg-stat-analysis", + "description": "Inferable agent for analysing Postgres DB performance", + "private": true, + "author": "Inferable, Inc.", + "license": "MIT", + "scripts": { + "dev": "tsx -r dotenv/config src/index.ts" + }, + "dependencies": { + "inferable": "^0.30.58", + "tsx": "^4.19.2", + "zod": "^3.23.8" + }, + "devDependencies": { + "@types/node": "^22.10.1", + "dotenv": "^16.4.6" + } +} diff --git a/examples/pg-stat-analysis/src/index.ts b/examples/pg-stat-analysis/src/index.ts new file mode 100644 index 00000000..e30fac77 --- /dev/null +++ b/examples/pg-stat-analysis/src/index.ts @@ -0,0 +1,69 @@ +import { readFileSync, writeFileSync, existsSync } from 'fs'; +import { Inferable } from 'inferable'; +import { z } from 'zod'; + +const HISTORY_PATH = path.join(__dirname, 'history.json') + +if (!existsSync(HISTORY_PATH)) { + writeFileSync(HISTORY_PATH, JSON.stringify({ suggestions: [] })); +} + +const history = JSON.parse(readFileSync(HISTORY_PATH, 'utf-8')); + +const client = new Inferable() + +const resultSchema = z.object({ + summary: z.string(), + suggestions: z.array( + z.object({ + name: z.string(), + explanation: z.string().describe("A short explanation of the suggestion"), + impactedQueries: z.array(z.string()).describe("The SQL queries that will be impacted by the suggestion. Only include queries observed in pg_stat_statements, etc"), + remediation: z.string().describe("The SQL code to implement the suggestion"), + impact: z.number().describe("The estimated impact of the suggestion on query performance").min(0).max(10) + }) + ), +}) + +client.run({ + initialPrompt: ` +Evaluate the access patterns within this database and recomend possible suggestions to improve performance. +This could include creating indexes or other optimizations that will improve performance. + +If a query fails, evaluate the error message and try again if possible. + +Do not return without evaluating "pg_stat_statements" if the module is enabled. +Do not recomend VACUUM related suggestions if auto-vacuum is enabled. +Do not "infer" possible queries, evaluate them based on "pg_stat_statements" table. + +Only return suggestions that haven't been recomended before, it is ok to return no suggestions. +`, + systemPrompt: ` +You are a Postgres DB analysis agent. You have access to a Postgres database and your job is to answer questions about the data in the database. + +You have access to run queries against all 'pg_stat_*' tables as necessary to answer your questions. +`, + model: "claude-3-5-sonnet", + resultSchema, + input: history, +}) + .then(run => run.poll()) + .then(runData => { + const result = runData?.result + if (!result) { + console.log("No result") + return + } + + const resultData = resultSchema.parse(result) + + writeFileSync(HISTORY_PATH, JSON.stringify({ + suggestions: [ + ...history.suggestions, + ...resultData.suggestions.map(suggestion => ({ + name: suggestion.name, + remediation: suggestion.remediation + })), + ] + })); + })