Add Paseo (#239)

* Add Paseo

* progress

* fix api connect

* chaindata

* lint

.env.example

@@ -1,21 +1,26 @@
 WS_POLKADOT_CORETIME_CHAIN="WSS endpoint of the coretime chain on Polkadot"
 WS_KUSAMA_CORETIME_CHAIN="WSS endpoint of the coretime chain on Kusama"
+WS_PASEO_CORETIME_CHAIN="WSS endpoint of the coretime chain on Paseo"
 WS_ROCOCO_CORETIME_CHAIN="WSS endpoint of the coretime chain on Rococo"
 WS_WESTEND_CORETIME_CHAIN="WSS endpiont of the coretime chain on Westend"
 
 WS_POLKADOT_RELAY_CHAIN="WSS endpoint of the coretime relay chain - Polkadot"
 WS_KUSAMA_RELAY_CHAIN="WSS endpoint of the coretime relay chain - Kusama"
+WS_PASEO_RELAY_CHAIN="WSS endpoint of the coretime relay chain - Paseo"
 WS_ROCOCO_RELAY_CHAIN="WSS endpoint of the coretime relay chain - Rococo"
 WS_WESTEND_RELAY_CHAIN="WSS endpoint of the coretime relay chain - Westend"
 
 WS_REGIONX_COCOS_CHAIN="WSS endpoint of the regionx chain"
 
 POLKADOT_CORETIME_INDEXER="Subquery indexer for Polkadot Coretime"
+KUSAMA_CORETIME_INDEXER="Subquery indexer for Kusama Coretime"
+PASEO_CORETIME_INDEXER="Subquery indexer for Paseo Coretime"
 ROCOCO_CORETIME_INDEXER="Subquery indexer for Rococo Coretime"
 COCOS_INDEXER="Subquery indexer for RegionX Cocos"
 
 POLKADOT_CORETIME_DICT="Subquery dictionary for Polkadot Coretime"
 KUSAMA_CORETIME_DICT="Subquery dictionary for Kusama Coretime"
+PASEO_CORETIME_DICT="Subquery dictionary for Paseo Coretime"
 ROCOCO_CORETIME_DICT="Subquery dictionary for Rococo Coretime"
 
 EXPERIMENTAL=false

next.config.js

@@ -7,25 +7,29 @@ const nextConfig = {
   env: {
     WS_POLKADOT_CORETIME_CHAIN: process.env.WS_POLKADOT_CORETIME_CHAIN || '',
     WS_KUSAMA_CORETIME_CHAIN: process.env.WS_KUSAMA_CORETIME_CHAIN || '',
+    WS_PASEO_CORETIME_CHAIN: process.env.WS_PASEO_CORETIME_CHAIN || '',
     WS_ROCOCO_CORETIME_CHAIN: process.env.WS_ROCOCO_CORETIME_CHAIN || '',
     WS_WESTEND_CORETIME_CHAIN: process.env.WS_WESTEND_CORETIME_CHAIN || '',
 
     COCOS_INDEXER: process.env.COCOS_INDEXER || '',
 
     POLKADOT_CORETIME_INDEXER: process.env.POLKADOT_CORETIME_INDEXER || '',
     KUSAMA_CORETIME_INDEXER: process.env.KUSAMA_CORETIME_INDEXER || '',
+    PASEO_CORETIME_INDEXER: process.env.PASEO_CORETIME_INDEXER || '',
     ROCOCO_CORETIME_INDEXER: process.env.ROCOCO_CORETIME_INDEXER || '',
     SUBSCAN_CORETIME_WESTEND_INDEXER: process.env.SUBSCAN_CORETIME_WESTEND_INDEXER || '',
 
     POLKADOT_CORETIME_DICT: process.env.POLKADOT_CORETIME_DICT || '',
     KUSAMA_CORETIME_DICT: process.env.KUSAMA_CORETIME_DICT || '',
+    PASEO_CORETIME_DICT: process.env.PASEO_CORETIME_DICT || '',
     ROCOCO_CORETIME_DICT: process.env.ROCOCO_CORETIME_DICT || '',
     SUBSCAN_CORETIME_WESTEND_DICT: process.env.SUBSCAN_CORETIME_WESTEND_DICT || '',
 
     WS_REGIONX_COCOS_CHAIN: process.env.WS_REGIONX_COCOS_CHAIN || '',
 
     WS_POLKADOT_RELAY_CHAIN: process.env.WS_POLKADOT_RELAY_CHAIN,
     WS_KUSAMA_RELAY_CHAIN: process.env.WS_KUSAMA_RELAY_CHAIN,
+    WS_PASEO_RELAY_CHAIN: process.env.WS_PASEO_RELAY_CHAIN,
     WS_ROCOCO_RELAY_CHAIN: process.env.WS_ROCOCO_RELAY_CHAIN,
     WS_WESTEND_RELAY_CHAIN: process.env.WS_WESTEND_RELAY_CHAIN,
 

src/assets/logos/chains/index.ts

@@ -46,6 +46,7 @@ export { chainsMangataPNG } from './mangataPNG';
 export { chainsMangataxPNG } from './mangataxPNG';
 export { chainsMoonsamaPNG } from './moonsamaPNG';
 export { chainsMyriadPNG } from './myriadPNG';
+export { chainsMyxcavPNG } from './myxcavPNG';
 export { chainsNeurowebTestnetPNG } from './neuroweb-testnetPNG';
 export { chainsNeurowebPNG } from './neurowebPNG';
 export { chainsOakPNG } from './oakPNG';

src/assets/logos/chains/myxcavPNG.ts

@@ -0,0 +1,7 @@
+// Copyright 2017-2024 @polkadot/apps authors & contributors
+// SPDX-License-Identifier: Apache-2.0
+
+// Do not edit. Auto-generated via node scripts/imgConvert.mjs
+
+export const chainsMyxcavPNG =
+  'data:image/png;base64,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';