remove dashboard service

.env.example

@@ -21,8 +21,5 @@ DASHBOARD_PORT=8502
 AIRFLOW_PORT=8080
 AIRFLOW_BASE_URL=
 
-# dashboard
-LEGACY_DB_LOCATION=
-
 # snaxchain api key
 CONDUIT_API_KEY=

README.md

@@ -9,11 +9,11 @@ A collection of services to index, store, and transform data related to Syntheti
 At a high level, the data stack contains a set of services to listen to onchain events, store that event data in a Postgres database, then transform and aggregate that data into a format that is useful for analytics.
 
 Read more about each service:
-* [**Database**](./postgres/) - A Postgres database used to store raw and transformed data.
-* [**Indexers**](./indexers/) - Blockchain indexers using Subsquid archives to index Synthetix smart contracts. These indexers are used to populate a Postgres database with raw event log data.
-* [**Extractors**](./extractors/) - Scripts that extract blockchain data using `eth_call` RPC calls and [cryo](https://github.com/paradigmxyz/cryo). Data is stored in the a `parquet-data` directory, and will be imported into the Postgres database using the Transformers service.
-* [**Transformers**](./transformers/) - Services that transform raw event log data into a format that is more useful for querying. These services are used to populate a Postgres database with transformed data using [dbt](https://www.getdbt.com/).
-* [**Dashboard**](./dashboard/) - A collection of dashboards built using [streamlit](https://streamlit.io/) and connected directly to the Postgres database.
+
+- [**Database**](./postgres/) - A Postgres database used to store raw and transformed data.
+- [**Indexers**](./indexers/) - Blockchain indexers using Subsquid archives to index Synthetix smart contracts. These indexers are used to populate a Postgres database with raw event log data.
+- [**Extractors**](./extractors/) - Scripts that extract blockchain data using `eth_call` RPC calls and [cryo](https://github.com/paradigmxyz/cryo). Data is stored in the a `parquet-data` directory, and will be imported into the Postgres database using the Transformers service.
+- [**Transformers**](./transformers/) - Services that transform raw event log data into a format that is more useful for querying. These services are used to populate a Postgres database with transformed data using [dbt](https://www.getdbt.com/).
 
 ## Usage
 
@@ -25,16 +25,14 @@ The services are all managed using [docker compose](https://docs.docker.com/comp
 - `PG_PASSWORD`: The password for the admin user of the Postgres database.
 - `READONLY_PASSWORD`: The password for a configured read-only user, used for dashboards. Change this password and run `make reset-pw` to update the user's password.
 - `DB_PORT`: The port that will be used to expose the Postgres database. If left blank, the database will only be exposed to the docker network.
-- `DASHBOARD_PORT`: The port used to expose the streamlit dashboards.
-- `LEGACY_DB_LOCATION`: The location of a legacy SQLite database. This database is used in Optimism Mainnet dashboards summarizing activity on the legacy perps V2 contracts.
 
 ### Start Indexers
 
-Once you have configured your environment, run `docker compose up -d --build` to build and run the services in detached mode. By default, the service will start a Postgres database, indexers for each network, and a streamlit dashboard on startup. Each indexer will write data to a database corresponding with the network name (ex. `base_mainnet`). You can view the logs for each service using `docker compose logs -f <service-name>`.
+Once you have configured your environment, run `docker compose up -d --build` to build and run the services in detached mode. By default, the service will start a Postgres database, indexers for each network, and an instance of Airflow. Each indexer will write data to a database corresponding with the network name (ex. `base_mainnet`). You can view the logs for each service using `docker compose logs -f <service-name>`.
 
-The dashboard service relies on transformed data in the `analytics` database. To populate this database, you must run the transformers.
+See the [data tools](https://github.com/Synthetixio/data-tools) for dashboards that consume this data.
 
-### Run Extractors
+## Run Extractors
 
 To populate the `parquet-data` directory with data, you must run the extractors. These scripts will run the `eth_call` RPC method for each of the specified calls in the `extractors/main.py` file. To run the extractors, use the following command:
 
@@ -55,4 +53,4 @@ make import # import the data from the parquet files into the database
 make dbt    # run dbt for each network
 ```
 
-You should see output confirming that dbt has run for each network, and created a set of tables and views in the `analytics` database. The running dashboard service will automatically detect these tables and views and populate the dashboards with data. To view the dashboards, visit `http://localhost:<DASHBOARD_PORT>` in your browser.
+You should see output confirming that dbt has run for each network, and created a set of tables and views in the `analytics` database.