Semgrep
A fast, open-source, static analysis tool for profoundly improving software security and reliability.
Integrate the Semgrep API with the Snowflake API
Setup the Semgrep API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Semgrep and Snowflake remarkably fast. Free for developers.
Popular Semgrep and Snowflake Triggers#
Popular Semgrep and Snowflake Actions#
Returns a list of findings for a specified deployment. See the documentation
Returns a list of projects for a given deployment slug. See the documentation
Overview of Semgrep#
The Semgrep API enables developers to integrate powerful static code analysis within their workflows on Pipedream. Semgrep scans codebases for bugs, security issues, and code standards, making it a vital tool for maintaining code quality. On Pipedream, you can automate code reviews, enforce coding standards, and trigger alerts or actions based on scan results. By connecting Semgrep to Pipedream, you can streamline your CI/CD pipelines, notify teams of critical issues, and even auto-fix problems under certain conditions.
Connect Semgrep#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
semgrep: {
type: "app",
app: "semgrep",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://semgrep.dev/api/v1/deployments`,
headers: {
Authorization: `Bearer ${this.semgrep.$auth.api_token}`,
},
})
},
})
Overview of Snowflake#
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Getting Started
1. Create a user, role and warehouse in Snowflake
Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.
We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.
2. Enter those details in Pipedream
Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.
You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.
3. Build your first workflow
Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.
Learn more at Pipedream University.
Connect Snowflake#
import { promisify } from 'util'
import snowflake from 'snowflake-sdk'
export default defineComponent({
props: {
snowflake: {
type: "app",
app: "snowflake",
}
},
async run({steps, $}) {
const connection = snowflake.createConnection({
...this.snowflake.$auth,
application: "PIPEDREAM_PIPEDREAM",
})
const connectAsync = promisify(connection.connect)
await connectAsync()
async function connExecuteAsync(options) {
return new Promise((resolve, reject) => {
connection.execute({
...options,
complete: function(err, stmt, rows) {
if (err) {
reject(err)
} else {
resolve({stmt, rows})
}
}
})
})
}
// See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
const { rows } = await connExecuteAsync({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
})
return rows
},
})