From 1921269216cc00edebc8b7fe3d210e86c24dabdb Mon Sep 17 00:00:00 2001
From: Mitchell Shiell <59712867+MitchellShiell@users.noreply.github.com>
Date: Thu, 12 Sep 2024 13:57:45 -0400
Subject: [PATCH 01/33] docs folder setup + ported existing docs
---
docs/01-Overview.md | 86 ++++++++++
docs/{setup.md => 02-Setup.md} | 41 ++---
docs/03-Usage/01-Managing-Index-Mappings.md | 17 ++
docs/03-Usage/02-Indexing-Data.md | 173 ++++++++++++++++++++
docs/03-Usage/03-Kafka-Topics.md | 65 ++++++++
docs/03-Usage/03-Usage.md | 1 +
docs/_config.yml | 1 -
docs/assets/MaestroArchitecture.jpg | Bin 0 -> 423231 bytes
docs/assets/index-analysis.png | Bin 0 -> 170775 bytes
docs/assets/index-repo2.png | Bin 0 -> 138675 bytes
docs/assets/index-study.png | Bin 0 -> 98055 bytes
docs/assets/swagger.png | Bin 0 -> 288662 bytes
docs/features.md | 99 -----------
docs/index.md | 29 ----
docs/intro.md | 24 ---
docs/tech.md | 48 ------
docs/usage.md | 128 ---------------
17 files changed, 357 insertions(+), 355 deletions(-)
create mode 100644 docs/01-Overview.md
rename docs/{setup.md => 02-Setup.md} (94%)
create mode 100644 docs/03-Usage/01-Managing-Index-Mappings.md
create mode 100644 docs/03-Usage/02-Indexing-Data.md
create mode 100644 docs/03-Usage/03-Kafka-Topics.md
create mode 100644 docs/03-Usage/03-Usage.md
delete mode 100644 docs/_config.yml
create mode 100644 docs/assets/MaestroArchitecture.jpg
create mode 100644 docs/assets/index-analysis.png
create mode 100644 docs/assets/index-repo2.png
create mode 100644 docs/assets/index-study.png
create mode 100644 docs/assets/swagger.png
delete mode 100644 docs/features.md
delete mode 100644 docs/index.md
delete mode 100644 docs/intro.md
delete mode 100644 docs/tech.md
delete mode 100644 docs/usage.md
diff --git a/docs/01-Overview.md b/docs/01-Overview.md
new file mode 100644
index 00000000..6b5952fa
--- /dev/null
+++ b/docs/01-Overview.md
@@ -0,0 +1,86 @@
+# Overview
+
+## Introduction
+
+Maestro's primary function is to organize data from multiple Song repositories into a single Elasticsearch index. By collecting data into a single index, Maestro allows upstream services, such as Arranger, to consume the data and expose it to end users for search and exploration.
+
+# Key Features
+
+- **Multi Repo Management:** Maestro offers built-in conflict detection and resolution. For instance, if multiple Song repositories identify the same file, Maestro detects this and aggregates the data from all sources into the Elasticsearch index.
+
+- **Multiple Indexing Levels:** Song repositories have a standard hierarchy: **Repository > Study > Analysis**. Maestro can index at each level. For example, if you want to index all analyses within a specific study, you can supply Maestro with the following command:
+
+ ```bash
+ curl -X POST \
+ http://localhost:11235/index/repository/``/study/`` \
+ -H 'Content-Type: application/json' \
+ -H 'cache-control: no-cache' \
+ ```
+
+- **Song Schema Support:** Song utilizes a core data model along with a flexible, user-defined dynamic schema, allowing administrators to define their data model rules. Maestro will require the base schema fields to index data but also supports the indexing of additional fields found within the dynamic schema.
+
+- **Index Mapping Migrations:** When changes are introduced to the dynamic schema, the administrator(s) must update and migrate the new index mapping.
+
+- **Exclusion Rules:** Specific data records may need to be excluded from indexing, for example, before a major data release, where records might need omission due to data integrity or legal concerns. Maestro also supports data publication controls by providing configurable exclusion rules to omit specific analyses from being indexed based on metadata tags assigned by Song. Study, Analysis, File, Sample, Specimen and Donor IDs can be used to exclude specific analyses.
+
+- **HTTP or Kafka Indexing APIs** Maestro can process indexing requests via Apache Kafka or through a standard JSON Web API (HTTP).
+
+## System Architecture
+
+Maestro's primary function is to organize data from multiple Song repositories into a single Elasticsearch index. By collecting data into a single index, Maestro allows upstream services, such as Arranger, to consume the data and expose it to end users for search and exploration.
+
+```mermaid
+graph LR
+ SS1[Song Server 1]
+ SS2[Song Server 2]
+ SS3[Song Server 3]
+ SD1[(Song Database 1)]
+ SD2[(Song Database 2)]
+ SD3[(Song Database 3)]
+ M[Maestro]
+ ES[ElasticSeach Index]
+
+ SD1 ---> SS1
+ SD2 ---> SS2
+ SD3 ---> SS3
+ SS1 ---> M
+ SS2 ---> M
+ SS3 ---> M
+ M ---> ES
+```
+
+## Repository Structure
+
+```
+.
+├── /ci-cd
+├── /maestro-app
+├── /maestro-domain
+└── /run/docker-compose
+```
+
+### maestro-domain
+
+- This is the core features and framework independent logic that is portable and contains the main indexing, rules, notifications logic as specified by the business features. Has packages like:
+ - entities : contains POJOs and entities
+ - api: the logic that fulfills the business features
+ - ports: contains the interfaces needed by the api to communicate with anything outside the indexing context.
+
+### run/docker-compose
+
+[explaination here]
+
+### maestro-app
+
+- This is the main runnable (spring boot app) it contains the infrastructure and adapters (ports implementations) that is needed to connect the domain with the outside world like elastic search, song web clients, configuration files etc. It also has the Spring framework configurations here to keep technologies outside of the domain.
+
+## Integrations
+
+Maestro integrates with the following software services:
+
+| Service | Integration Type | Description |
+|--|--|--|
+| Song | Default | Maestro natively integrates with Song to index Song metadata into a single index. |
+| Elasticsearch | Default | Maestro is designed to integrate with and build Elasticsearch indices by default. |
+| Apache Kafka | Optional | Event-based indexing using the Kafka messaging queues. Maestro can also listen for and trigger indexing operations from specific Kafka topics |
+| Slack | Default | Slack notifications for index monitoring |
\ No newline at end of file
diff --git a/docs/setup.md b/docs/02-Setup.md
similarity index 94%
rename from docs/setup.md
rename to docs/02-Setup.md
index 57f38b30..a55f414a 100644
--- a/docs/setup.md
+++ b/docs/02-Setup.md
@@ -1,15 +1,21 @@
-# Source Code
-Source Code is hosted on [Github](https://github.com/overture-stack/maestro).
+# Setup
+
+## Run as a Standalone Server
+
+Provided that you have JDK11+ and all dependencies (see [Dependencies](#dependencies)) running and modified `application.yaml` based on your environment and needs, you can run the following command:
+
+```bash
+make run
+```
+## Run as a Container
+
+### Prerequisites
-# Dependencies
To run Maestro you need the following services running:
- [Elasticsearch](https://www.elastic.co/products/elasticsearch) version 7+ to build index in.
- [SONG](https://www.overture.bio/products/song) to use as a metadata source.
-- Optional: [Apache Kafka](https://kafka.apache.org/) (if you want event driven integration with song).
-
-
-# Configurations
+- Optional: [Apache Kafka](https://kafka.apache.org/) (if you want event driven integration with song).]
In the code repository, configurations are driven by: `config/application.yml`. Change the relevent sections to connect to Elasticsearch, SONG, Kafka based on your setup.
@@ -167,25 +173,8 @@ spring:
group: songConsumerGrp
consumer:
maxAttempts: 1
-
-
```
-
-
-# Running Locally
-
-Maestro has a `Makefile` for convenience if you can't use make you can check the make file for
-the commands.
-
-## Source Code (No Docker)
-Provided that you have JDK11+ and all dependencies (see [Dependencies](#dependencies)) running and modified `application.yaml` based on your environment and needs, you can run the following command:
-
-```bash
-make run
-```
-
-## Docker (Recommended for Local installations)
In this mode a docker-compose.yaml file will be used, it contains a dockerized version of elasticsearch and kafka see `./run/docker-compose/docker-compose.yaml`.
For SONG please check the SONG github repo here on how to run it with docker.
@@ -197,7 +186,8 @@ starts maestro from a docker image along with all needed infrastructure
make docker-start
```
-# Kuberenets (Helm)
+
+## Kuberenets (Helm)
if you want to run in a Kubernetes cluster you can use the maestro helm chart
- [Chart Repository](https://overture-stack.github.io/charts-server/)
@@ -234,4 +224,3 @@ then add overture chart repository and install the chart:
helm repo add overture https://overture-stack.github.io/charts-server/
helm install -f values-override.yaml overture/maestro
```
-
diff --git a/docs/03-Usage/01-Managing-Index-Mappings.md b/docs/03-Usage/01-Managing-Index-Mappings.md
new file mode 100644
index 00000000..32827ddd
--- /dev/null
+++ b/docs/03-Usage/01-Managing-Index-Mappings.md
@@ -0,0 +1,17 @@
+# Managing Index Mappings
+
+By default, Maestro builds the Elasticsearch index based on a pre-defined default index mapping. The name of this default mapping gets set in the `.env.maestro` environment variable file.
+
+While this mapping is not configurable in runtime, there may be cases where an administrator will need to change the mapping.
+
+For example, when updating Songs' [dynamic schemas](/documentation/song/admin/schemas/) the administrator must also update Maestros' index mapping.
+
+**Guidelines for index migration are outlined here:**
+
+1. **Update the existing index mapping** to account for the new analysis types and fields.
+
+2. **Re-index the data.** Trigger indexing by updating the `.env.maestro` environment file with the new index mapping or index via the Elasticsearch API.
+
+3. **Update your Elasticsearch aliases** to point to the new or updated index instead of the old one.
+
+Following these steps, the data will be migrated and Maestro will now index based on the new mapping.
\ No newline at end of file
diff --git a/docs/03-Usage/02-Indexing-Data.md b/docs/03-Usage/02-Indexing-Data.md
new file mode 100644
index 00000000..f9b35fde
--- /dev/null
+++ b/docs/03-Usage/02-Indexing-Data.md
@@ -0,0 +1,173 @@
+# Indexing Data
+
+The following sections will demonstrate how to index data at different entity levels using the API. Maestro can index data flexibly at either the repository, study, or individual analysis levels.
+
+**What is an analysis?** An Analysis file contains the metadata in a structured JSON format. Metadata gets submitted to Song as an Analysis File.
+
+Maestro provides a RESTful API that allows you to interact with its core functionalities. There are two methods available to interact with the Maestro API.
+
+### The Swagger UI
+
+The Swagger UI is a helpful tool for exploration and simple use cases. It provides detailed descriptions of all the available endpoints, expected inputs, and error responses.
+
+
+
+Depending on your deployment, you can access the Swagger UI from one of the following links:
+
+| Mode | URL |
+| -- | --- |
+| Local | `http://localhost:11235/maestro/api-docs` |
+| Server | `https:///maestro/api-docs` |
+
+### cURL
+
+Maestro's API can be accessed through the command line using cURLs, this also allows users to create more complex programmatic queries if desired.
+
+Examples and instructions for interacting with Maestro's API will be provided in the following pages.
+
+
+## Indexing an Analysis
+
+### Using cURL
+
+To index individual analyses with cURL, execute the following from your command line:
+
+```shell
+ curl -X POST \
+ http://localhost:11235/index/repository/``/study/``/analysis/`` \
+ -H 'Content-Type: application/json' \
+ -H 'cache-control: no-cache' \
+```
+
+Where:
+
+- `repositoryCode` is the code representing the Song repository that the study belongs to
+- `studyId` is the ID of the study that the analysis belongs to
+- `analysisId` is the ID of the analysis you want to index
+
+### Using Swagger UI
+
+To index a study using the Swagger UI:
+
+1. Go to `http://localhost:11235/maestro/api-docs`
+
+2. Under **management-controller**, select the `POST /index/repository/{repositoryCode}/study/{studyId}/analysis/{analysisId}` endpoint.
+
+3. Click **Try it out**.
+
+4. Enter your `analysisId`, `studyId`, and `repositoryCode`.
+
+7. Click **Execute**.
+
+
+
+If successful the command line or Swagger will indicate the analysis has been indexed:
+
+```shell
+[
+ {
+ "indexName": "file_centric_1",
+ "failureData": {
+ "failingIds": {}
+ },
+ "successful": true
+ }
+]
+```
+
+## Indexing a Study
+
+The most common way to index is usually by study. This operation will index all analyses in the specific study provided.
+
+### Using cURL
+
+To index a study with cURL, from your command line, execute the following:
+
+```shell
+ curl -X POST \
+ http://localhost:11235/index/repository/``/study/`` \
+ -H 'Content-Type: application/json' \
+ -H 'cache-control: no-cache' \
+```
+
+Where:
+- `repositoryCode` is the code representing the Song repository that the study belongs to
+- `studyId` is the ID of the study you want to index
+
+### Using Swagger UI
+
+To index a study using the Swagger UI:
+
+1. Go to `http://localhost:11235/maestro/api-docs`
+
+2. Under **management-controller**, click the `POST /index/repository/{repositoryCode}/study/{studyId}` endpoint.
+
+3. Click **Try it out**.
+
+4. Enter your `studyId`, and `repositoryCode`.
+
+6. Click **Execute**. For example:
+
+
+
+If successful the command line or Swagger will indicate the study has been indexed:
+
+```shell
+[
+ {
+ "indexName": "file_centric_1",
+ "failureData": {
+ "failingIds": {}
+ },
+ "successful": true
+ }
+]
+```
+
+## Indexing a Repository
+
+
+It's possible to index an entire Song repository at once. This operation will index all analyses in all studies within the specified repository.
+
+### Using cURL
+
+To index a repository with cURL, from your command line. execute the following:
+
+```shell
+ curl -X POST \
+ http://localhost:11235/index/repository/`` \
+ -H 'Content-Type: application/json' \
+ -H 'cache-control: no-cache'
+```
+
+Where `repositoryCode` is the code of the Song repository you want to index.
+
+### Using Swagger UI
+
+To index a repository using the Swagger UI:
+
+1. Go to `http://localhost:11235/maestro/api-docs`
+
+2. Under **management-controller**, click the `POST /index/repository/{repositoryCode}` endpoint.
+
+3. Click **Try it out**.
+
+4. Enter the `repositoryCode` of the Song repository you want to index.
+
+5. Click **Execute**. For example:
+
+
+
+If successful the command line or Swagger will indicate the repository has been indexed:
+
+```shell
+[
+ {
+ "indexName": "file_centric_1",
+ "failureData": {
+ "failingIds": {}
+ },
+ "successful": true
+ }
+]
+```
\ No newline at end of file
diff --git a/docs/03-Usage/03-Kafka-Topics.md b/docs/03-Usage/03-Kafka-Topics.md
new file mode 100644
index 00000000..5a735015
--- /dev/null
+++ b/docs/03-Usage/03-Kafka-Topics.md
@@ -0,0 +1,65 @@
+# Kafka topics
+
+Maestro can be configured as mentioned under the running configurations section to listen to kafka topics
+
+```yaml
+spring:
+ application:
+ name: maestro
+ output.ansi.enabled: ALWAYS
+ cloud:
+ stream:
+ # kafka integration with song (remove this key to disable kafka)
+ kafka:
+ binder:
+ brokers: localhost:9092
+ bindings:
+ songInput:
+ consumer:
+ enableDlq: true
+ dlqName: maestro_song_analysis_dlq
+ autoCommitOnError: true
+ autoCommitOffset: true
+ input:
+ consumer:
+ enableDlq: true
+ dlqName: maestro_index_requests_dlq
+ autoCommitOnError: true
+ autoCommitOffset: true
+ bindings:
+ input:
+ # we don't specify content type because @StreamListener will handle that
+ destination: maestro_index_requests
+ group: requestsConsumerGrp
+ consumer:
+ maxAttempts: 1
+ songInput:
+ destination: song-analysis
+ group: songConsumerGrp
+ consumer:
+ maxAttempts: 1
+```
+
+The `maestro_index_requests` topic is for on demand request message instead of using the web api above
+the body of the messages should be a JSON, and looks like one of the following:
+
+- Analysis:
+```json
+{"value" : { "repositoryCode" : "collab", "studyId" : "PEK-AB", "analysisId" : "EGAZ000", "remove": true } }
+```
+
+- Study:
+```json
+{"value" : { "repositoryCode" : "collab", "studyId" : "PEK-AB" } }
+```
+
+- Full repository (SONG):
+```json
+{"value" : { "repositoryCode" : "aws" } }
+```
+
+for `song-nalysis` topic messages, the message schemas are governed by SONG but they currently look like this:
+
+```json
+{"value" : { "analysisId" : "12314124", "studyId" : "PEK-AB", "songServerId": "collab", "state": "PUBLISHED" } }
+```
\ No newline at end of file
diff --git a/docs/03-Usage/03-Usage.md b/docs/03-Usage/03-Usage.md
new file mode 100644
index 00000000..fc56ab51
--- /dev/null
+++ b/docs/03-Usage/03-Usage.md
@@ -0,0 +1 @@
+# Usage
\ No newline at end of file
diff --git a/docs/_config.yml b/docs/_config.yml
deleted file mode 100644
index c4192631..00000000
--- a/docs/_config.yml
+++ /dev/null
@@ -1 +0,0 @@
-theme: jekyll-theme-cayman
\ No newline at end of file
diff --git a/docs/assets/MaestroArchitecture.jpg b/docs/assets/MaestroArchitecture.jpg
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