From 03dc1fc5c1b9b285cb57fe264707b14efa7a74d2 Mon Sep 17 00:00:00 2001 From: Alsia Plybeah Date: Thu, 27 Jun 2024 14:07:29 -0400 Subject: [PATCH 1/4] update docs --- documentation/analytics/usage.md | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/documentation/analytics/usage.md b/documentation/analytics/usage.md index b8aa5afe1..2fbfc444d 100644 --- a/documentation/analytics/usage.md +++ b/documentation/analytics/usage.md @@ -45,6 +45,7 @@ It should also open two new browser tabs, each with a separate report: - `make sprint-burndown` - Runs the sprint burndown report - `make percent-complete` - Runs the percent complete by deliverable report - `make sprint-reports` - Runs both percent complete and sprint burndown (without exporting data first) +- `make gh-db-data-import` - Imports issue and sprint data to the analytics database ## Using the command line interface @@ -96,6 +97,19 @@ Exporting project data works almost the same way, except it expects a `--project poetry run analytics export gh_project_data --owner HHS --project 13 --output-file data/sprint-data.json ``` +### Working with the Analytics database + +#### Importing Github data + +You can use the following command to import data to the analytics database. + +```bash +poetry run analytics import db_import --sprint-file data/sprint-data.json --issue-file data/issue-data.json +``` + +Some notes about this command: +- `--sprint-file` and `--issue-file` refer to the files generated by their respective commands (e.g. `gh_issue_data `). When running the import command via `make` these flags are prepopulated with the relative paths: `data/issue-data.json` and `data/sprint-data.json` + ### Calculating metrics #### Calculating sprint burndown From 5f21e9d5847769078964d5ba8a86753e5ba612f6 Mon Sep 17 00:00:00 2001 From: Alsia Plybeah Date: Thu, 27 Jun 2024 17:14:04 -0400 Subject: [PATCH 2/4] add more information and screenshots --- analytics/static/screenshot-metabase-page.png | Bin 0 -> 146697 bytes .../static/screenshot-metabase-row-data.png | Bin 0 -> 113779 bytes documentation/analytics/usage.md | 22 +++++++++++++++++- 3 files changed, 21 insertions(+), 1 deletion(-) create mode 100644 analytics/static/screenshot-metabase-page.png create mode 100644 analytics/static/screenshot-metabase-row-data.png diff --git a/analytics/static/screenshot-metabase-page.png b/analytics/static/screenshot-metabase-page.png new file mode 100644 index 0000000000000000000000000000000000000000..32c744559e975e4c8fdf49c69eee7e05b839f5a1 GIT 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b/documentation/analytics/usage.md index 2fbfc444d..4179f9d0d 100644 --- a/documentation/analytics/usage.md +++ b/documentation/analytics/usage.md @@ -99,6 +99,8 @@ poetry run analytics export gh_project_data --owner HHS --project 13 --output-fi ### Working with the Analytics database +The following sections assume that the steps in our [development guide](development.md) have been completed first. This is especially helpful when seeding the database for local testing and development. Additionally, you will need to have [Docker Desktop](https://www.docker.com/products/docker-desktop/) installed. + #### Importing Github data You can use the following command to import data to the analytics database. @@ -108,7 +110,25 @@ poetry run analytics import db_import --sprint-file data/sprint-data.json --iss ``` Some notes about this command: -- `--sprint-file` and `--issue-file` refer to the files generated by their respective commands (e.g. `gh_issue_data `). When running the import command via `make` these flags are prepopulated with the relative paths: `data/issue-data.json` and `data/sprint-data.json` +- `--sprint-file` and `--issue-file` refer to the files generated by their respective commands (e.g. `gh_issue_data `). When running the import command via `make` these flags are prepopulated with the relative paths: `data/issue-data.json` and `data/sprint-data.json`. + +The data from this command can be found in the `github_project_data` table. + +#### Viewing the data in the Terminal + +The database can be accessed locally by running the command `docker-compose up -d`. This will start the docker containers for Metabase and the analytics database in a detatched state. + +In Docker desktop, navigate to the analytics database container and sign into the database `psql -U ,database-user>`. From here, you can run SQL queries to view data. + +When finished, run `docker-compose down` to stop and remove all containers, networks and volumes associated with the analytics application. + +#### Viewing the data in Metabase + +[Metabase](https://www.metabase.com/) is a buisness intelligence that lets you query, organize and view data with a friendly UX. In order to view data in Metabase, start the containers and then navigate to http://localhost:3100/. + +The first time you access Metabase you will be guided through a small setup process to sync the database to the platform. +![Screenshot of the landing page in Metabase](../../analytics/static/screenshot-metabase-page.png) +![Screenshot of a row of test data](../../analytics/static/screenshot-metabase-row-data.png) ### Calculating metrics From ed690b94447a15f3598efaa01ef1a96a377727c7 Mon Sep 17 00:00:00 2001 From: Alsia Plybeah Date: Thu, 27 Jun 2024 17:22:31 -0400 Subject: [PATCH 3/4] typo --- documentation/analytics/usage.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/analytics/usage.md b/documentation/analytics/usage.md index 4179f9d0d..f15d919bd 100644 --- a/documentation/analytics/usage.md +++ b/documentation/analytics/usage.md @@ -118,7 +118,7 @@ The data from this command can be found in the `github_project_data` table. The database can be accessed locally by running the command `docker-compose up -d`. This will start the docker containers for Metabase and the analytics database in a detatched state. -In Docker desktop, navigate to the analytics database container and sign into the database `psql -U ,database-user>`. From here, you can run SQL queries to view data. +In Docker desktop, navigate to the analytics database container and sign into the database `psql -U `. From here, you can run SQL queries to view data. When finished, run `docker-compose down` to stop and remove all containers, networks and volumes associated with the analytics application. From 0440bf9a0de6d0732f24b438ecefa3e266765c87 Mon Sep 17 00:00:00 2001 From: Alsia Plybeah Date: Thu, 27 Jun 2024 17:25:10 -0400 Subject: [PATCH 4/4] formatting --- documentation/analytics/usage.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/documentation/analytics/usage.md b/documentation/analytics/usage.md index f15d919bd..a03b3f734 100644 --- a/documentation/analytics/usage.md +++ b/documentation/analytics/usage.md @@ -127,7 +127,9 @@ When finished, run `docker-compose down` to stop and remove all containers, netw [Metabase](https://www.metabase.com/) is a buisness intelligence that lets you query, organize and view data with a friendly UX. In order to view data in Metabase, start the containers and then navigate to http://localhost:3100/. The first time you access Metabase you will be guided through a small setup process to sync the database to the platform. + ![Screenshot of the landing page in Metabase](../../analytics/static/screenshot-metabase-page.png) + ![Screenshot of a row of test data](../../analytics/static/screenshot-metabase-row-data.png) ### Calculating metrics