From ed8289260a5ea72355801430813f556ec56a3e30 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 23 Oct 2024 10:17:49 +0100
Subject: [PATCH] Update metricflow-commands.md

add versionblocks and update syntax based on versions.

raised in [internal slack thread](https://dbt-labs.slack.com/archives/C02NCQ9483C/p1729633657302969)
---
 website/docs/docs/build/metricflow-commands.md | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md
index d010cd8bb17..466a61cc5bc 100644
--- a/website/docs/docs/build/metricflow-commands.md
+++ b/website/docs/docs/build/metricflow-commands.md
@@ -34,10 +34,22 @@ For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI,
 
 You can install [MetricFlow](https://github.com/dbt-labs/metricflow#getting-started) from [PyPI](https://pypi.org/project/dbt-metricflow/). You need to use `pip` to install MetricFlow on Windows or Linux operating systems:
 
+<VersionBlock lastVersion="1.7">
+ 
 1. Create or activate your virtual environment `python -m venv venv`
 2. Run `pip install dbt-metricflow`
   * You can install MetricFlow using PyPI as an extension of your dbt adapter in the command line. To install the adapter, run `python -m pip install "dbt-metricflow[your_adapter_name]"` and add the adapter name at the end of the command. For example, for a Snowflake adapter run `python -m pip install "dbt-metricflow[snowflake]"`
 
+</VersionBlock>
+
+<VersionBlock firstVersion="1.8">
+ 
+1. Create or activate your virtual environment `python -m venv venv`
+2. Run `pip install dbt-metricflow`
+  * You can install MetricFlow using PyPI as an extension of your dbt adapter in the command line. To install the adapter, run `python -m pip install "dbt-metricflow[adapter_package_name]"` and add the adapter name at the end of the command. For example, for a Snowflake adapter run `python -m pip install "dbt-metricflow[dbt-snowflake]"`
+
+</VersionBlock>
+
 **Note**, you'll need to manage versioning between dbt Core, your adapter, and MetricFlow.
 
 Something to note, MetricFlow `mf` commands return an error if you have a Metafont latex package installed. To run `mf` commands, uninstall the package.