Repository: feagi/feagi (language: python)

Issue:
Scroll bar
add scroll bar support (duplicate coming)


Discussion / hints:

Fix patch:
diff --git a/.github/workflows/PRIVATE_deploy_feagi_dev_to_nrs.yml b/.github/workflows/PRIVATE_deploy_feagi_dev_to_nrs.yml
deleted file mode 100644
index 0cc449c2a..000000000
--- a/.github/workflows/PRIVATE_deploy_feagi_dev_to_nrs.yml
+++ /dev/null
@@ -1,77 +0,0 @@
-name: Contribute to NRS FEAGI
-
-on:
-  workflow_dispatch:
-  push:
-    paths-ignore:
-      - '.github/workflows/**'
-    branches:
-      - pre-nrs
-
-jobs:
-  sync:
-    runs-on: ubuntu-latest
-
-    steps:
-    - name: Check out Neuraville code
-      uses: actions/checkout@v4
-      with:
-        sparse-checkout: .
-        fetch-depth: 0
-        path: neuraville-feagi
-
-    - name: Generate branch name
-      run: echo "BRANCH_NAME=neuraville-$(date +'%Y-%m-%d-%H-%M-%S')" >> $GITHUB_ENV
-
-    - name: Check out NRS code
-      uses: actions/checkout@v4
-      with:
-        sparse-checkout: .
-        fetch-depth: 0
-        repository: Neuraville/nrs-feagi
-        path: nrs-feagi
-        token: ${{ secrets.NRS_PAT }}
-
-    - name: Setup Git Identity for Merge
-      run: |
-        cd nrs-feagi
-        git config user.email "dev@neuraville.com"
-        git config user.name "NeuravilleDeveloper"
-
-
-    - name: Merge Neuraville code into NRS code
-      run: |
-        cd nrs-feagi
-        git remote add neuraville ../neuraville-feagi
-        git fetch neuraville
-        git merge neuraville/pre-nrs --allow-unrelated-histories
-
-    - name: Check for merge conflicts
-      run: |
-        if git diff --name-only --diff-filter=U | grep -q .; then
-          echo "Merge conflicts detected!"
-          exit 1
-        fi
-
-    - name: Setup Git with PAT and commit changes
-      run: |
-        cd nrs-feagi
-        git config user.email "dev@neuraville.com"
-        git config user.name "NeuravilleDeveloper"
-        git remote | grep public && git remote remove public
-        git remote add nrs https://NeuravilleDeveloper:${{ secrets.NRS_PAT }}@github.com/Neuraville/nrs-feagi.git
-        git checkout $BRANCH_NAME || git checkout -b $BRANCH_NAME
-        git diff --exit-code || git commit -m "Sync with pre-nrs excluding .env and .github directory changes"
-        git push nrs ${{ env.BRANCH_NAME }}
-
-    - name: Create PR using GitHub CLI
-      run: |
-        gh auth login --with-token <<< "${{ secrets.NRS_PAT }}"
-        gh pr create \
-          --repo Neuraville/nrs-feagi \
-          --base staging \
-          --head ${{ env.BRANCH_NAME }} \
-          --title "Updates from Neuraville Inc." \
-          --body "This PR syncs with latest Neuraville Inc. development code."
-      env:
-        GH_CLI_TOKEN: ${{ secrets.NRS_PAT }}
diff --git a/.github/workflows/deploy_feagi_dev_to_nrs___PRIVATE.yml b/.github/workflows/deploy_feagi_dev_to_nrs___PRIVATE.yml
deleted file mode 100644
index 0cc449c2a..000000000
--- a/.github/workflows/deploy_feagi_dev_to_nrs___PRIVATE.yml
+++ /dev/null
@@ -1,77 +0,0 @@
-name: Contribute to NRS FEAGI
-
-on:
-  workflow_dispatch:
-  push:
-    paths-ignore:
-      - '.github/workflows/**'
-    branches:
-      - pre-nrs
-
-jobs:
-  sync:
-    runs-on: ubuntu-latest
-
-    steps:
-    - name: Check out Neuraville code
-      uses: actions/checkout@v4
-      with:
-        sparse-checkout: .
-        fetch-depth: 0
-        path: neuraville-feagi
-
-    - name: Generate branch name
-      run: echo "BRANCH_NAME=neuraville-$(date +'%Y-%m-%d-%H-%M-%S')" >> $GITHUB_ENV
-
-    - name: Check out NRS code
-      uses: actions/checkout@v4
-      with:
-        sparse-checkout: .
-        fetch-depth: 0
-        repository: Neuraville/nrs-feagi
-        path: nrs-feagi
-        token: ${{ secrets.NRS_PAT }}
-
-    - name: Setup Git Identity for Merge
-      run: |
-        cd nrs-feagi
-        git config user.email "dev@neuraville.com"
-        git config user.name "NeuravilleDeveloper"
-
-
-    - name: Merge Neuraville code into NRS code
-      run: |
-        cd nrs-feagi
-        git remote add neuraville ../neuraville-feagi
-        git fetch neuraville
-        git merge neuraville/pre-nrs --allow-unrelated-histories
-
-    - name: Check for merge conflicts
-      run: |
-        if git diff --name-only --diff-filter=U | grep -q .; then
-          echo "Merge conflicts detected!"
-          exit 1
-        fi
-
-    - name: Setup Git with PAT and commit changes
-      run: |
-        cd nrs-feagi
-        git config user.email "dev@neuraville.com"
-        git config user.name "NeuravilleDeveloper"
-        git remote | grep public && git remote remove public
-        git remote add nrs https://NeuravilleDeveloper:${{ secrets.NRS_PAT }}@github.com/Neuraville/nrs-feagi.git
-        git checkout $BRANCH_NAME || git checkout -b $BRANCH_NAME
-        git diff --exit-code || git commit -m "Sync with pre-nrs excluding .env and .github directory changes"
-        git push nrs ${{ env.BRANCH_NAME }}
-
-    - name: Create PR using GitHub CLI
-      run: |
-        gh auth login --with-token <<< "${{ secrets.NRS_PAT }}"
-        gh pr create \
-          --repo Neuraville/nrs-feagi \
-          --base staging \
-          --head ${{ env.BRANCH_NAME }} \
-          --title "Updates from Neuraville Inc." \
-          --body "This PR syncs with latest Neuraville Inc. development code."
-      env:
-        GH_CLI_TOKEN: ${{ secrets.NRS_PAT }}
diff --git a/.github/workflows/update_dev_feagi.yml b/.github/workflows/update_dev_feagi.yml
deleted file mode 100644
index 4c2128728..000000000
--- a/.github/workflows/update_dev_feagi.yml
+++ /dev/null
@@ -1,18 +0,0 @@
-name: Update dev gcr FEAGI
-on:
-  push:
-    branches:
-      - staging
-    paths:
-      - 'src/**'
-      - 'generate_version.sh'
-  workflow_dispatch:
-
-jobs:
-  Build:
-    runs-on: ubuntu-latest
-
-    steps:
-    - name: testing
-      run: |
-        ls
diff --git a/DEVELOP.md b/DEVELOP.md
deleted file mode 100644
index e69de29bb..000000000
diff --git a/README.md b/README.md
index 5f9127e6c..20395083e 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 * For the most up to date information about our platform and approach, please reference our [Wiki](https://github.com/feagi/feagi/wiki).
 * To get started using our platform please follow our [**Deployment Guide**](https://github.com/feagi/feagi/wiki/Deployment-(for-the-public)) and start by following our [**tutorials**](https://github.com/feagi/feagi/wiki/Tutorials)
-* To learn more and get involved in the community, join our the FEAGI [LinkedIn group](https://www.linkedin.com/groups/12777894/).
+* To learn more and get involved in the community, join our the FEAGI [Linkedin group](https://www.linkedin.com/groups/12777894/).
 
 # About FEAGI
 The Framework for Evolutionary Artificial General Intelligence (FEAGI) is an open-source framework designed from the 
diff --git a/docker/Dockerfile.private b/docker/archive/Dockerfile.private
similarity index 100%
rename from docker/Dockerfile.private
rename to docker/archive/Dockerfile.private
diff --git a/docker/README.md b/docker/archive/README.md
similarity index 100%
rename from docker/README.md
rename to docker/archive/README.md
diff --git a/docker/_static/docker_setting.png b/docker/archive/_static/docker_setting.png
similarity index 100%
rename from docker/_static/docker_setting.png
rename to docker/archive/_static/docker_setting.png
diff --git a/docker/apple_silicon_feagi.yml b/docker/archive/apple_silicon_feagi.yml
similarity index 100%
rename from docker/apple_silicon_feagi.yml
rename to docker/archive/apple_silicon_feagi.yml
diff --git a/docker/check_playground_images.py b/docker/archive/check_playground_images.py
similarity index 100%
rename from docker/check_playground_images.py
rename to docker/archive/check_playground_images.py
diff --git a/docker/feagi.private.yml b/docker/archive/feagi.private.yml
similarity index 100%
rename from docker/feagi.private.yml
rename to docker/archive/feagi.private.yml
diff --git a/docker/feagi.yml b/docker/archive/feagi.yml
similarity index 100%
rename from docker/feagi.yml
rename to docker/archive/feagi.yml
diff --git a/docker/templates/full_template.yml b/docker/archive/templates/full_template.yml
similarity index 100%
rename from docker/templates/full_template.yml
rename to docker/archive/templates/full_template.yml
diff --git a/generate_version.sh b/generate_version.sh
index fec5f0915..dff87776f 100755
--- a/generate_version.sh
+++ b/generate_version.sh
@@ -4,8 +4,12 @@
 file_path="version.py"
 line_number="1"
 
-# Get current UNIX timestamp
-timestamp=$(date +%s)
-full_line="__version__ = '0$timestamp'"
+# Get current git tag from release in the repo
+git fetch
+current_tag_version=$(git tag | sort -V | tail -n 1)
+if [ -z "$current_tag_version" ]; then
+    current_tag_version="---"
+fi
+full_line="__version__ = '$current_tag_version'"
 
 sed -i "${line_number}s/.*/$full_line/" "$file_path"
diff --git a/src/api/message_processor.py b/src/api/message_processor.py
index e958d91a3..5255aca45 100644
--- a/src/api/message_processor.py
+++ b/src/api/message_processor.py
@@ -39,7 +39,7 @@ def api_message_processor(api_message):
         if 'burst_duration' in api_message['burst_management']:
             if api_message['burst_management']['burst_duration'] is not None:
                 runtime_data.burst_timer = api_message['burst_management']['burst_duration']
-                runtime_data.genome['burst_delay'] = runtime_data.burst_timer
+                runtime_data.genome['physiology']['burst_delay'] = runtime_data.burst_timer
 
     if 'stimulation_script' in api_message:
         runtime_data.stimulation_script = api_message['stimulation_script']['stimulation_script']
diff --git a/src/api/routers/v1/cortical_area.py b/src/api/routers/v1/cortical_area.py
index a04447ae4..d008b8163 100644
--- a/src/api/routers/v1/cortical_area.py
+++ b/src/api/routers/v1/cortical_area.py
@@ -61,12 +61,12 @@ async def fetch_cortical_properties(cortical_id: CorticalId):
                 "cortical_neuron_per_vox_count": cortical_data['per_voxel_neuron_cnt'],
                 "cortical_visibility": cortical_data['visualization'],
                 "cortical_synaptic_attractivity": cortical_data['synapse_attractivity'],
-                "cortical_coordinates": [
+                "coordinates_3d": [
                     cortical_data["relative_coordinate"][0],
                     cortical_data["relative_coordinate"][1],
                     cortical_data["relative_coordinate"][2]
                 ],
-                "cortical_coordinates_2d": [
+                "coordinates_2d": [
                     cortical_data["2d_coordinate"][0],
                     cortical_data["2d_coordinate"][1]
                 ],
diff --git a/src/api/routers/v1/feagi_agent.py b/src/api/routers/v1/feagi_agent.py
index d3401010c..7f25fcc6c 100644
--- a/src/api/routers/v1/feagi_agent.py
+++ b/src/api/routers/v1/feagi_agent.py
@@ -99,6 +99,7 @@ async def agent_registration(request: Request, agent_type: str, agent_id: str, a
 
     print(f"AGENT Details -- {agent_info}")
     runtime_data.agent_registry[agent_id] = agent_info
+    runtime_data.host_info[agent_id] = agent_info
 
     print("New agent has been successfully registered:", runtime_data.agent_registry[agent_id])
     agent_info = runtime_data.agent_registry[agent_id].copy()
diff --git a/src/api/routers/v1/genome.py b/src/api/routers/v1/genome.py
index 989f44f54..01e352966 100644
--- a/src/api/routers/v1/genome.py
+++ b/src/api/routers/v1/genome.py
@@ -17,15 +17,18 @@
 import os
 import json
 
-from fastapi import APIRouter, UploadFile, File, HTTPException
+from fastapi import APIRouter, UploadFile, File, HTTPException, Depends
 from starlette.responses import FileResponse
 
 from ...schemas import *
 from ...commons import *
+from ...dependencies import check_active_genome
 
 from src.inf import runtime_data
-from src.evo.genome_processor import genome_2_1_convertor
+from src.evo.genome_editor import save_genome
+from src.evo.genome_processor import genome_2_1_convertor, genome_v1_v2_converter
 from src.evo.stats import circuit_size
+from src.inf.initialize import generate_cortical_dimensions_by_id
 
 
 router = APIRouter()
@@ -92,12 +95,15 @@ async def genome_string_upload(genome: dict):
 
 
 @router.get("/download")
-async def genome_download():
+async def genome_download(_: str = Depends(check_active_genome)):
     print("Downloading Genome...")
-
+    print("==========================>>>>\n", runtime_data.genome)
+    save_genome(genome=genome_v1_v2_converter(runtime_data.genome),
+                file_name=runtime_data.connectome_path + "genome.json")
     file_name = "genome_" + datetime.now().strftime("%Y_%m_%d-%I:%M:%S_%p") + ".json"
     print(file_name)
     if runtime_data.genome:
+        runtime_data.changes_saved_externally = True
         return FileResponse(path=runtime_data.connectome_path + "genome.json", filename=file_name)
     else:
         raise HTTPException(status_code=400, detail="No running genome found!")
diff --git a/src/api/routers/v1/neuroplasticity.py b/src/api/routers/v1/neuroplasticity.py
index 41f4c176c..4c61e81c6 100644
--- a/src/api/routers/v1/neuroplasticity.py
+++ b/src/api/routers/v1/neuroplasticity.py
@@ -27,7 +27,7 @@ async def show_plasticity_queue_depth():
     """
     Returns the current plasticity queue depth value
     """
-    return runtime_data.genome["plasticity_queue_depth"]
+    return runtime_data.genome["physiology"]["plasticity_queue_depth"]
 
 
 @router.put("/plasticity_queue_depth")
@@ -35,4 +35,4 @@ async def update_plasticity_queue_depth(queue_depth: int):
     """
     Enables changes against various Burst Engine parameters.
     """
-    runtime_data.genome["plasticity_queue_depth"] = queue_depth
+    runtime_data.genome["physiology"]["plasticity_queue_depth"] = queue_depth
diff --git a/src/api/routers/v1/system.py b/src/api/routers/v1/system.py
index 21e790f98..f4d078110 100644
--- a/src/api/routers/v1/system.py
+++ b/src/api/routers/v1/system.py
@@ -49,18 +49,21 @@ def get_versions():
 async def feagi_health_check():
     health = dict()
     health["burst_engine"] = not runtime_data.exit_condition
+    health["connected_agents"] = runtime_data.connected_agents
     if runtime_data.influxdb:
         health["influxdb_availability"] = True
     else:
         health["influxdb_availability"] = False
     health["neuron_count_max"] = runtime_data.parameters["Limits"]["max_neuron_count"]
     health["synapse_count_max"] = runtime_data.parameters["Limits"]["max_synapse_count"]
+    health["latest_changes_saved_externally"] = runtime_data.changes_saved_externally
 
     if runtime_data.genome:
         health["genome_availability"] = True
         connectome_neuron_count = runtime_data.brain_stats["neuron_count"]
         connectome_synapse_count = runtime_data.brain_stats["synapse_count"]
         connectome_size = 3E-08 * connectome_neuron_count ** 2 + 0.0011 * connectome_neuron_count + 2.9073
+        health["cortical_area_count"] = len(runtime_data.cortical_list)
         health["neuron_count"] = connectome_neuron_count
         health["synapse_count"] = connectome_synapse_count
         health["estimated_brain_size_in_MB"] = connectome_size
diff --git a/src/api/schemas.py b/src/api/schemas.py
index 539243e65..fa316f802 100644
--- a/src/api/schemas.py
+++ b/src/api/schemas.py
@@ -78,8 +78,8 @@ class UpdateCorticalProperties(BaseModel):
     cortical_name: Optional[str]
     cortical_neuron_per_vox_count: Optional[int]
     cortical_visibility: Optional[bool]
-    cortical_coordinates: Optional[list]
-    cortical_coordinates_2d: Optional[list]
+    coordinates_3d: Optional[list]
+    coordinates_2d: Optional[list]
     cortical_dimensions: Optional[list]
     cortical_synaptic_attractivity: Optional[int]
     neuron_post_synaptic_potential: Optional[float]
diff --git a/src/evo/death.py b/src/evo/death.py
index 6b8abd2e5..a71218f7f 100644
--- a/src/evo/death.py
+++ b/src/evo/death.py
@@ -65,8 +65,8 @@ def death_eligibility():
     # Conditions triggering the brain death
 
     # --- Age related ---
-    if 'max_age' in runtime_data.genome:
-        if runtime_data.current_age > runtime_data.genome['max_age']:
+    if 'max_age' in runtime_data.genome["physiology"]:
+        if runtime_data.current_age > runtime_data.genome["physiology"]['max_age']:
             death_condition = True
             print('\n\n\nAge related death has been triggered!\n\n\n')
 
diff --git a/src/evo/defaults/genome/barebones_genome.json b/src/evo/defaults/genome/barebones_genome.json
index ab585068b..48bc6b613 100644
--- a/src/evo/defaults/genome/barebones_genome.json
+++ b/src/evo/defaults/genome/barebones_genome.json
@@ -1,211 +1,1633 @@
 {
-   "genome_id": "2022-07-10_21:53:10_961677_111111_G",
-   "version": "2.0",
-   "max_burst_count": 3,
-   "burst_delay": 1,
-   "max_age": 10000000,
-   "evolution_burst_count": 50,
-   "ipu_idle_threshold": 1000,
-   "physiology": {
-      "plasticity_queue_depth": 3
-   },
-   "neuron_morphologies": {
-      "block_to_block": {
-         "parameters": {
-            "vectors": [
-               [
-                  0,
-                  0,
-                  0
-               ]
-            ]
-         },
-         "type": "vectors"
-      },
-      "decrease_filter_diagonal": {
-         "parameters": {
-            "vectors": [
-               [
-                  0,
-                  1,
-                  1
-               ]
-            ]
-         },
-         "type": "vectors"
-      },
-      "decrease_filter_diagonal2": {
-         "parameters": {
-            "vectors": [
-               [
-                  0,
-                  2,
-                  1
-               ]
-            ]
-         },
-         "type": "vectors"
-      },
-      "increase_filter_diagonal": {
-         "parameters": {
-            "vectors": [
-               [
-                  0,
-                  1,
-                  -1
-               ]
-            ]
-         },
-         "type": "vectors"
-      },
-      "lateral_+x": {
-         "parameters": {
-            "vectors": [
-               [
-                  1,
-                  0,
-                  0
-               ]
-            ]
-         },
-         "type": "vectors"
-      },
-      "lateral_-x": {
-         "parameters": {
-            "vectors": [
-               [
-                  -1,
-                  0,
-                  0
-               ]
-            ]
-         },
-         "type": "vectors"
-      },
-      "lateral_+y": {
-         "parameters": {
-            "vectors": [
-               [
-                  0,
-                  1,
-                  0
-               ]
-            ]
-         },
-         "type": "vectors"
-      },
-      "lateral_-y": {
-         "parameters": {
-            "vectors": [
-               [
-                  0,
-                  -1,
-                  0
-               ]
-            ]
-         },
-         "type": "vectors"
-      },
-      "lateral_+z": {
-         "parameters": {
-            "vectors": [
-               [
-                  0,
-                  0,
-                  1
-               ]
-            ]
-         },
-         "type": "vectors"
-      },
-      "lateral_-z": {
-         "parameters": {
-            "vectors": [
-               [
-                  0,
-                  0,
-                  -1
-               ]
-            ]
-         },
-         "type": "vectors"
-      },
-      "expander_x": {
-         "parameters": {},
-         "type": "functions"
-      },
-      "reducer_x": {
-         "parameters": {},
-         "type": "functions"
-      },
-      "randomizer": {
-         "parameters": {},
-         "type": "functions"
-      }
-   },
-   "species": {
-      "parents": {},
-      "species_id": "",
-      "class": "toy",
-      "brand": "gazebo",
-      "model": "smart_car"
-   },
-   "blueprint": {
-      "_____10c-___pwr-cx-_n_cnt-i": 1,
-      "_____10c-___pwr-cx-synatt-i": 100,
-      "_____10c-___pwr-cx-de_gen-f": 0.0,
-      "_____10c-___pwr-cx-pspuni-b": false,
-      "_____10c-___pwr-nx-pstcrm-f": 35.0,
-      "_____10c-___pwr-cx-dstmap-d": {},
-      "_____10c-___pwr-cx-___bbx-i": 1,
-      "_____10c-___pwr-cx-___bby-i": 1,
-      "_____10c-___pwr-cx-___bbz-i": 1,
-      "_____10c-___pwr-cx-rcordx-i": 10,
-      "_____10c-___pwr-cx-rcordy-i": 0,
-      "_____10c-___pwr-cx-rcordz-i": -20,
-      "_____10c-___pwr-cx-2dcorx-i": null,
-      "_____10c-___pwr-cx-2dcory-i": null,
-      "_____10c-___pwr-cx-gd_vis-b": true,
-      "_____10c-___pwr-nx-pstcr_-f": 500.0,
-      "_____10c-___pwr-nx-plst_c-f": 0.0,
-      "_____10c-___pwr-nx-fire_t-f": 1.0,
-      "_____10c-___pwr-nx-refrac-i": 0,
-      "_____10c-___pwr-nx-leak_c-f": 10.0,
-      "_____10c-___pwr-nx-leak_v-f": 0,
-      "_____10c-___pwr-nx-c_fr_c-i": 3,
-      "_____10c-___pwr-nx-snooze-f": 0,
-      "_____10c-___pwr-nx-fthinc-f": 0,
-      "_____10c-___pwr-nx-fthlim-i": 0,
-      "_____10c-___pwr-nx-mp_acc-b": true,
-      "_____10c-___pwr-cx-__name-t": "Brain_Power",
-      "_____10c-___pwr-cx-_group-t": "IPU",
-      "_____10c-_death-cx-_n_cnt-i": 1,
-      "_____10c-_death-cx-synatt-i": 100,
-      "_____10c-_death-cx-de_gen-f": 0.01,
-      "_____10c-_death-cx-pspuni-b": false,
-      "_____10c-_death-nx-pstcrm-f": 35,
-      "_____10c-_death-cx-dstmap-d": {},
-      "_____10c-_death-cx-___bbx-i": 1,
-      "_____10c-_death-cx-___bby-i": 1,
-      "_____10c-_death-cx-___bbz-i": 1,
-      "_____10c-_death-cx-rcordx-i": 10,
-      "_____10c-_death-cx-rcordy-i": 0,
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+      "parameters": {},
+      "type": "functions",
+      "class": "core"
+    },
+    "expander_x": {
+      "parameters": {},
+      "type": "functions",
+      "class": "core"
+    },
+    "reducer_x": {
+      "parameters": {},
+      "type": "functions",
+      "class": "core"
+    },
+    "lateral_pairs_x": {
+      "parameters": {},
+      "type": "functions",
+      "class": "core"
+    },
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+          16,
+          1
+        ],
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+            0
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+          [
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+            0
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+      "type": "patterns",
+      "parameters": {
+        "patterns": [
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+              0,
+              0,
+              0
+            ],
+            [
+              0,
+              0,
+              0
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+    },
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+      "parameters": {
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+        ]
+      },
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+    },
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+      "parameters": {
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+              0,
+              0
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+              0,
+              0
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+        ]
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+      "parameters": {
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+              0,
+              0
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+      "parameters": {
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+    },
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+      "parameters": {
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+              0,
+              0
+            ],
+            [
+              5,
+              0,
+              0
+            ]
+          ]
+        ]
+      },
+      "morphology_name": "0_0_0-5_0_0",
+      "class": "custom"
+    },
+    "0_0_0-6_0_0": {
+      "type": "patterns",
+      "parameters": {
+        "patterns": [
+          [
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+              0,
+              0
+            ],
+            [
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+              0,
+              0
+            ]
+          ]
+        ]
+      },
+      "morphology_name": "0_0_0-6_0_0",
+      "class": "custom"
+    },
+    "0_0_0-7_0_0": {
+      "type": "patterns",
+      "parameters": {
+        "patterns": [
+          [
+            [
+              0,
+              0,
+              0
+            ],
+            [
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+              0,
+              0
+            ]
+          ]
+        ]
+      },
+      "morphology_name": "0_0_0-7_0_0",
+      "class": "custom"
+    }
+  },
+  "hosts": {},
+  "physiology": {
+    "burst_delay": 0.025,
+    "max_age": 10000000,
+    "evolution_burst_count": 50,
+    "ipu_idle_threshold": 1000,
+    "plasticity_queue_depth": 3,
+    "lifespan_mgmt_interval": 10
+  },
+  "stats": {
+    "innate_cortical_area_count": 2,
+    "innate_neuron_count": 2,
+    "innate_synapse_count": 0
+  },
+  "signatures": {
+    "genome": "d56d9bbc7a5e236d",
+    "blueprint": "f5dacb3e0fd9b7d2",
+    "physiology": "5f1e7f587e1af2c8"
+  },
+  "timestamp": 1712971071.904253,
+  "blueprint": {
+    "_____10c-___pwr-cx-subgrp-t": "",
+    "_____10c-___pwr-cx-_n_cnt-i": 1,
+    "_____10c-___pwr-cx-synatt-i": 100,
+    "_____10c-___pwr-cx-de_gen-f": 0,
+    "_____10c-___pwr-cx-pspuni-b": false,
+    "_____10c-___pwr-nx-pstcrm-f": 35,
+    "_____10c-___pwr-cx-dstmap-d": {},
+    "_____10c-___pwr-cx-___bbx-i": 1,
+    "_____10c-___pwr-cx-___bby-i": 1,
+    "_____10c-___pwr-cx-___bbz-i": 1,
+    "_____10c-___pwr-cx-rcordx-i": 10,
+    "_____10c-___pwr-cx-rcordy-i": 0,
+    "_____10c-___pwr-cx-rcordz-i": -20,
+    "_____10c-___pwr-cx-2dcorx-i": null,
+    "_____10c-___pwr-cx-2dcory-i": null,
+    "_____10c-___pwr-cx-gd_vis-b": true,
+    "_____10c-___pwr-nx-pstcr_-f": 500,
+    "_____10c-___pwr-nx-fire_t-f": 1,
+    "_____10c-___pwr-nx-refrac-i": 0,
+    "_____10c-___pwr-nx-leak_c-f": 10,
+    "_____10c-___pwr-nx-leak_v-f": 0,
+    "_____10c-___pwr-nx-c_fr_c-i": 3,
+    "_____10c-___pwr-nx-snooze-f": 0,
+    "_____10c-___pwr-nx-ftincx-f": 0,
+    "_____10c-___pwr-nx-ftincy-f": 0,
+    "_____10c-___pwr-nx-ftincz-f": 0,
+    "_____10c-___pwr-nx-fthlim-i": 0,
+    "_____10c-___pwr-nx-mp_acc-b": true,
+    "_____10c-___pwr-nx-mp_psp-b": false,
+    "_____10c-___pwr-cx-memory-b": false,
+    "_____10c-___pwr-cx-mem__t-i": 100,
+    "_____10c-___pwr-cx-mem_gr-i": 1,
+    "_____10c-___pwr-cx-mem_ls-i": 9,
+    "_____10c-___pwr-nx-excite-i": 100,
+    "_____10c-___pwr-cx-__name-t": "Brain_Power",
+    "_____10c-___pwr-cx-_group-t": "CORE",
+    "_____10c-_death-cx-subgrp-t": "",
+    "_____10c-_death-cx-_n_cnt-i": 1,
+    "_____10c-_death-cx-synatt-i": 100,
+    "_____10c-_death-cx-de_gen-f": 0.01,
+    "_____10c-_death-cx-pspuni-b": false,
+    "_____10c-_death-nx-pstcrm-f": 35,
+    "_____10c-_death-cx-dstmap-d": {},
+    "_____10c-_death-cx-___bbx-i": 1,
+    "_____10c-_death-cx-___bby-i": 1,
+    "_____10c-_death-cx-___bbz-i": 1,
+    "_____10c-_death-cx-rcordx-i": 10,
+    "_____10c-_death-cx-rcordy-i": 0,
+    "_____10c-_death-cx-rcordz-i": -30,
+    "_____10c-_death-cx-2dcorx-i": null,
+    "_____10c-_death-cx-2dcory-i": null,
+    "_____10c-_death-cx-gd_vis-b": true,
+    "_____10c-_death-nx-pstcr_-f": 5,
+    "_____10c-_death-nx-fire_t-f": 1,
+    "_____10c-_death-nx-refrac-i": 0,
+    "_____10c-_death-nx-leak_c-f": 10,
+    "_____10c-_death-nx-leak_v-f": 0,
+    "_____10c-_death-nx-c_fr_c-i": 3,
+    "_____10c-_death-nx-snooze-f": 0,
+    "_____10c-_death-nx-ftincx-f": 0,
+    "_____10c-_death-nx-ftincy-f": 0,
+    "_____10c-_death-nx-ftincz-f": 0,
+    "_____10c-_death-nx-fthlim-i": 0,
+    "_____10c-_death-nx-mp_acc-b": false,
+    "_____10c-_death-nx-mp_psp-b": false,
+    "_____10c-_death-cx-memory-b": false,
+    "_____10c-_death-cx-mem__t-i": 100,
+    "_____10c-_death-cx-mem_gr-i": 1,
+    "_____10c-_death-cx-mem_ls-i": 9,
+    "_____10c-_death-nx-excite-i": 100,
+    "_____10c-_death-cx-__name-t": "Brain_Death",
+    "_____10c-_death-cx-_group-t": "CORE"
+  }
 }
\ No newline at end of file
diff --git a/src/evo/defaults/genome/essential_genome.json b/src/evo/defaults/genome/essential_genome.json
index d12064078..f456d6377 100644
--- a/src/evo/defaults/genome/essential_genome.json
+++ b/src/evo/defaults/genome/essential_genome.json
@@ -1,2586 +1,2671 @@
 {
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+    },
+    "_____10c-CTGM4_-cx-___bbx-i": 1,
+    "_____10c-CTGM4_-cx-___bby-i": 1,
+    "_____10c-CTGM4_-cx-___bbz-i": 1,
+    "_____10c-CTGM4_-cx-rcordx-i": -20,
+    "_____10c-CTGM4_-cx-rcordy-i": 0,
+    "_____10c-CTGM4_-cx-rcordz-i": -14,
+    "_____10c-CTGM4_-cx-2dcorx-i": 1516,
+    "_____10c-CTGM4_-cx-2dcory-i": 670,
+    "_____10c-CTGM4_-cx-gd_vis-b": true,
+    "_____10c-CTGM4_-nx-pstcr_-f": 1,
+    "_____10c-CTGM4_-nx-fire_t-f": 1,
+    "_____10c-CTGM4_-nx-refrac-i": 0,
+    "_____10c-CTGM4_-nx-leak_c-f": 0,
+    "_____10c-CTGM4_-nx-leak_v-f": 0,
+    "_____10c-CTGM4_-nx-c_fr_c-i": 0,
+    "_____10c-CTGM4_-nx-snooze-f": 0,
+    "_____10c-CTGM4_-nx-ftincx-f": 0,
+    "_____10c-CTGM4_-nx-ftincy-f": 0,
+    "_____10c-CTGM4_-nx-ftincz-f": 0,
+    "_____10c-CTGM4_-nx-fthlim-i": 0,
+    "_____10c-CTGM4_-nx-mp_acc-b": false,
+    "_____10c-CTGM4_-nx-mp_psp-b": false,
+    "_____10c-CTGM4_-cx-memory-b": false,
+    "_____10c-CTGM4_-cx-mem__t-i": 100,
+    "_____10c-CTGM4_-cx-mem_gr-i": 1,
+    "_____10c-CTGM4_-cx-mem_ls-i": 9,
+    "_____10c-CTGM4_-nx-excite-i": 100,
+    "_____10c-CTGM4_-cx-__name-t": "M4_FW",
+    "_____10c-CTGM4_-cx-_group-t": "CUSTOM",
+    "_____10c-CLWM4_-cx-subgrp-t": "",
+    "_____10c-CLWM4_-cx-_n_cnt-i": 1,
+    "_____10c-CLWM4_-cx-synatt-i": 100,
+    "_____10c-CLWM4_-cx-de_gen-f": 0,
+    "_____10c-CLWM4_-cx-pspuni-b": false,
+    "_____10c-CLWM4_-nx-pstcrm-f": 99999,
+    "_____10c-CLWM4_-cx-dstmap-d": {
+      "o__mot": [
+        [
+          "0_0_0-7_0_0",
+          [
+            1,
+            1,
+            1
+          ],
+          1,
+          false,
+          1,
+          1,
+          1
+        ]
+      ]
+    },
+    "_____10c-CLWM4_-cx-___bbx-i": 1,
+    "_____10c-CLWM4_-cx-___bby-i": 1,
+    "_____10c-CLWM4_-cx-___bbz-i": 1,
+    "_____10c-CLWM4_-cx-rcordx-i": -15,
+    "_____10c-CLWM4_-cx-rcordy-i": 0,
+    "_____10c-CLWM4_-cx-rcordz-i": -14,
+    "_____10c-CLWM4_-cx-2dcorx-i": 1520,
+    "_____10c-CLWM4_-cx-2dcory-i": 825,
+    "_____10c-CLWM4_-cx-gd_vis-b": true,
+    "_____10c-CLWM4_-nx-pstcr_-f": 1,
+    "_____10c-CLWM4_-nx-fire_t-f": 1,
+    "_____10c-CLWM4_-nx-refrac-i": 0,
+    "_____10c-CLWM4_-nx-leak_c-f": 0,
+    "_____10c-CLWM4_-nx-leak_v-f": 0,
+    "_____10c-CLWM4_-nx-c_fr_c-i": 0,
+    "_____10c-CLWM4_-nx-snooze-f": 0,
+    "_____10c-CLWM4_-nx-ftincx-f": 0,
+    "_____10c-CLWM4_-nx-ftincy-f": 0,
+    "_____10c-CLWM4_-nx-ftincz-f": 0,
+    "_____10c-CLWM4_-nx-fthlim-i": 0,
+    "_____10c-CLWM4_-nx-mp_acc-b": false,
+    "_____10c-CLWM4_-nx-mp_psp-b": false,
+    "_____10c-CLWM4_-cx-memory-b": false,
+    "_____10c-CLWM4_-cx-mem__t-i": 100,
+    "_____10c-CLWM4_-cx-mem_gr-i": 1,
+    "_____10c-CLWM4_-cx-mem_ls-i": 9,
+    "_____10c-CLWM4_-nx-excite-i": 100,
+    "_____10c-CLWM4_-cx-__name-t": "M4_BW",
+    "_____10c-CLWM4_-cx-_group-t": "CUSTOM"
+  }
 }
\ No newline at end of file
diff --git a/src/evo/genome_editor.py b/src/evo/genome_editor.py
index 5115798dd..65425b305 100644
--- a/src/evo/genome_editor.py
+++ b/src/evo/genome_editor.py
@@ -21,8 +21,12 @@
 """
 
 import logging
+import traceback
+
+import xxhash
 from src.inf import runtime_data
 from datetime import datetime
+from time import time
 from time import sleep
 import json
 
@@ -33,7 +37,9 @@
 def set_default(obj):
     if isinstance(obj, set):
         return list(obj)
-    raise TypeError
+    print("#___" * 20)
+    print(type(obj), obj)
+    return obj
 
 
 def add_gene():
@@ -54,22 +60,48 @@ def save_genome(genome, file_name=''):
     try:
         with open(genome_file, "w") as data_file:
             data = genome
+            if "signatures" not in data:
+                data["signatures"] = {}
+            data["timestamp"] = time()
+
+            # host_info = runtime_data.host_info.copy()
+            # data["hosts"] = clean_host_info(host_info)
+            # print("@----" * 20)
+            # print(data["hosts"])
+
+            if "signatures" not in data:
+                data["signatures"] = {}
+            data["timestamp"] = time()
+            data["signatures"]["genome"] = generate_hash(genome_signature_payload(data))
+            data["signatures"]["blueprint"] = generate_hash(data["blueprint"])
+            data["signatures"]["physiology"] = generate_hash(data["physiology"])
+
             data_file.seek(0)  # rewind
             data_file.write(json.dumps(data, indent=3, default=set_default))
             data_file.truncate()
             # todo: Identify the cause of errors when sleep is eliminated
             sleep(0.5)  # Elimination of sleep causes issues with Uvicorn
             print("genome is saved")
+            runtime_data.changes_saved_externally = False
+    except Exception as e:
+        print(f"Warning: Genome could not be saved! {e}", traceback.print_exc())
 
-    except KeyError:
-        print("Warning: Genome could not be saved!")
 
+def clean_host_info(host_info):
+    for host in host_info:
+        if "listener" in host_info[host]:
+            host_info[host].pop("listener")
+    return host_info
+
+
+def generate_hash(payload):
+    serialized_genome = json.dumps(payload, sort_keys=True)
+    signature = xxhash.xxh64(serialized_genome).hexdigest()
+    return signature
 
-# def validate_genome():
-#
-#
-#
 
-if __name__ == "__main__":
-    add_gene()
-    save_genome()
+def genome_signature_payload(genome):
+    payload = dict()
+    payload["blueprint"] = genome["blueprint"]
+    payload["physiology"] = genome["physiology"]
+    return payload
diff --git a/src/evo/genome_processor.py b/src/evo/genome_processor.py
index e63dda1a3..869d6f1ae 100644
--- a/src/evo/genome_processor.py
+++ b/src/evo/genome_processor.py
@@ -43,6 +43,8 @@ def genome_ver_check(genome):
                 print("Error during genome validation!!\n", traceback.print_exc(), e)
             genome = merge_core_morphologies(genome)
             genome = genome_morphology_updator(genome)
+            genome = genome_physiology_updator(genome=genome)
+            genome = genome_stat_updator(genome=genome)
             save_genome(genome=genome, file_name=runtime_data.connectome_path + "genome.json")
             genome1 = genome_2_1_convertor(flat_genome=genome['blueprint'])
             genome_2_hierarchifier(flat_genome=genome['blueprint'])
@@ -446,8 +448,46 @@ def is_memory_cortical_area(cortical_area):
         return False
 
 
+def genome_physiology_updator(genome: dict):
+    if "physiology" not in genome:
+        genome["physiology"] = {}
+    if "max_burst_count" in genome:
+        genome.pop("max_burst_count")
+    if "burst_delay" in genome:
+        genome["physiology"]["burst_delay"] = genome["burst_delay"]
+        genome.pop("burst_delay")
+    if "max_age" in genome:
+        genome["physiology"]["max_age"] = genome["max_age"]
+        genome.pop("max_age")
+    if "evolution_burst_count" in genome:
+        genome["physiology"]["evolution_burst_count"] = genome["evolution_burst_count"]
+        genome.pop("evolution_burst_count")
+    if "ipu_idle_threshold" in genome:
+        genome["physiology"]["ipu_idle_threshold"] = genome["ipu_idle_threshold"]
+        genome.pop("ipu_idle_threshold")
+    if "plasticity_queue_depth" in genome:
+        genome["physiology"]["plasticity_queue_depth"] = genome["plasticity_queue_depth"]
+        genome.pop("plasticity_queue_depth")
+    if "lifespan_mgmt_interval" in genome:
+        genome["physiology"]["lifespan_mgmt_interval"] = genome["lifespan_mgmt_interval"]
+        genome.pop("lifespan_mgmt_interval")
+
+    return genome
+
+
+def genome_stat_updator(genome: dict):
+    if "stats" not in genome:
+        genome["stats"] = {}
+    if "cortical_count" not in genome["stats"]:
+        genome["stats"]["innate_cortical_area_count"] = 0
+    if "neuron_count" not in genome["stats"]:
+        genome["stats"]["innate_neuron_count"] = 0
+    if "synapse_count" not in genome["stats"]:
+        genome["stats"]["innate_synapse_count"] = 0
+    return genome
+
+
 gene_decoder = {
-    "_______b-_____s-__-__name-t": "species_name",
     "_______c-______-cx-__name-t": "cortical_name",
     "_______c-______-cx-_n_cnt-i": "cortical_neuron_count",
     "_______c-______-cx-gd_vis-b": "godot_visualization",
diff --git a/src/evo/genome_validator.py b/src/evo/genome_validator.py
index 718fbc0aa..5a30d414b 100644
--- a/src/evo/genome_validator.py
+++ b/src/evo/genome_validator.py
@@ -23,8 +23,9 @@
 import logging
 import traceback
 
-from src.evo.genome_properties import *
 from src.inf import settings
+from src.evo.genome_properties import *
+from src.evo.templates import cortical_types
 
 
 logger = logging.getLogger(__name__)
@@ -103,9 +104,8 @@ def morphology_validator(genome):
                                     for pattern_segment in pattern:
                                         if len(pattern_segment) != 3:
                                             genome_validity = False
-                                            print(
-                                                "Warning! Morphology \"%s\" has an incorrect pattern parameter definition."
-                                                % morphology)
+                                            print("Warning! Morphology \"%s\" has an incorrect pattern parameter "
+                                                  "definition." % morphology)
                                             return genome_validity
 
             if "parameters" not in neuron_morphologies[morphology]:
@@ -168,6 +168,18 @@ def destination_rules(gene_):
                         return False
         return True
 
+    def special_areas(gene_):
+        segments = gene_.split(genome_properties["structure"]["segment_seperator"])
+        special_core_types = {"IPU", "OPU", "CORE"}
+        cortical_area = segments[1]
+        if segments[3] == "_group":
+            defined_cortical_type = blueprint[gene_]
+            if defined_cortical_type in special_core_types:
+                if cortical_area not in cortical_types[defined_cortical_type]["supported_devices"]:
+                    return False
+
+        return True
+
     for gene in blueprint:
         if not gene_segments(gene):
             valid_genome = False
@@ -175,15 +187,13 @@ def destination_rules(gene_):
         if not destination_rules(gene):
             print(gene)
             valid_genome = False
+        if not special_areas(gene):
+            print(gene)
+            valid_genome = False
 
     return valid_genome
 
 
-def core_validator(genome):
-    # TBD
-    return True
-
-
 def print_validity(validity_status):
     if validity_status:
         print("\n" + settings.Bcolors.OKGREEN + "* -- * " * 20 + settings.Bcolors.ENDC)
@@ -201,7 +211,6 @@ def print_validity(validity_status):
 
 def genome_validator(genome):
     genome_validity = morphology_validator(genome=genome) and \
-                      blueprint_validator(genome=genome) and \
-                      core_validator(genome=genome)
+                      blueprint_validator(genome=genome)
     print_validity(validity_status=genome_validity)
     return genome_validity
diff --git a/src/evo/neuroembryogenesis.py b/src/evo/neuroembryogenesis.py
index 8766ca2e1..33bed3056 100644
--- a/src/evo/neuroembryogenesis.py
+++ b/src/evo/neuroembryogenesis.py
@@ -35,6 +35,8 @@
 import shutil
 import concurrent.futures
 from src.evo import neuron, synapse, stats, genetics, voxels
+from src.evo.genome_editor import save_genome
+from src.evo.genome_processor import genome_v1_v2_converter
 from functools import partial
 from multiprocessing import Pool, Process
 from src.inf import disk_ops
@@ -320,6 +322,12 @@ def develop(target_areas=None):
     # runtime_data.brain = disk_ops.load_brain_in_memory()
 
     connectome_neuron_count, connectome_synapse_count = stats.brain_total_synapse_cnt()
+    runtime_data.genome["stats"]["innate_cortical_area_count"] = len(runtime_data.cortical_list)
+    runtime_data.genome["stats"]["innate_neuron_count"] = connectome_neuron_count
+    runtime_data.genome["stats"]["innate_synapse_count"] = connectome_synapse_count
+
+    save_genome(genome=genome_v1_v2_converter(runtime_data.genome),
+                file_name=runtime_data.connectome_path + "genome.json")
 
     # The following formula was derived by curve fitting sample data
     connectome_size_on_disk = 3E-08 * connectome_neuron_count**2 + 0.0011 * connectome_neuron_count + 2.9073
diff --git a/src/evo/x_genesis.py b/src/evo/x_genesis.py
index 2da509fd5..6105b5828 100644
--- a/src/evo/x_genesis.py
+++ b/src/evo/x_genesis.py
@@ -135,14 +135,14 @@ def update_cortical_properties(cortical_properties):
             cortical_properties['cortical_name']
         changed_areas.add("name")
 
-    if cortical_properties['cortical_coordinates'] is not None:
+    if cortical_properties['coordinates_3d'] is not None:
         x_cortical_reposition(cortical_area=cortical_area,
-                              new_coordinates=cortical_properties['cortical_coordinates'])
+                              new_coordinates=cortical_properties['coordinates_3d'])
         changed_areas.add("3d_loc")
 
-    if cortical_properties['cortical_coordinates_2d'] is not None:
+    if cortical_properties['coordinates_2d'] is not None:
         x_cortical_reposition_2d(cortical_area=cortical_area,
-                                 new_coordinates=cortical_properties['cortical_coordinates_2d'])
+                                 new_coordinates=cortical_properties['coordinates_2d'])
         changed_areas.add("2d_loc")
 
     if cortical_properties['neuron_fire_threshold'] is not None:
@@ -632,76 +632,79 @@ def add_core_cortical_area(cortical_properties):
         template = templates.cortical_template.copy()
         cortical_type = cortical_properties['cortical_type']
         cortical_id_ = cortical_properties['cortical_id']
-        cortical_name = \
-            templates.cortical_types[cortical_type]["supported_devices"][cortical_id_]['cortical_name']
-
-        if cortical_id_ in runtime_data.genome['blueprint']:
-            print("Warning! Cortical area already part of genome. Nothing got added.")
+        if cortical_id_ in templates.cortical_types[cortical_type]["supported_devices"]:
+            cortical_name = \
+                templates.cortical_types[cortical_type]["supported_devices"][cortical_id_]['cortical_name']
+
+            if cortical_id_ in runtime_data.genome['blueprint']:
+                print("Warning! Cortical area already part of genome. Nothing got added.")
+            else:
+                reset_connectome_file(cortical_area=cortical_id_)
+                runtime_data.voxel_dict[cortical_id_] = dict()
+                runtime_data.genome['blueprint'][cortical_id_] = dict()
+                runtime_data.cortical_list = genome_1_cortical_list(runtime_data.genome)
+                runtime_data.genome["blueprint"][cortical_id_] = \
+                    template.copy()
+                runtime_data.genome["blueprint"][cortical_id_]["cortical_name"] = cortical_name
+                runtime_data.genome['blueprint'][cortical_id_]["block_boundaries"] = \
+                    [cortical_properties['channel_count'] *
+                     templates.cortical_types[cortical_type]['supported_devices'][cortical_id_]['resolution'][0],
+                     templates.cortical_types[cortical_type]['supported_devices'][cortical_id_]['resolution'][1],
+                     templates.cortical_types[cortical_type]['supported_devices'][cortical_id_]['resolution'][2],
+                     ]
+
+                runtime_data.genome['blueprint'][cortical_id_]["relative_coordinate"] = \
+                    [cortical_properties['coordinates_3d'][0],
+                     cortical_properties['coordinates_3d'][1],
+                     cortical_properties['coordinates_3d'][2]]
+
+                runtime_data.genome['blueprint'][cortical_id_]["2d_coordinate"] = \
+                    [cortical_properties['coordinates_2d'][0],
+                     cortical_properties['coordinates_2d'][1]]
+
+                runtime_data.genome['blueprint'][cortical_id_]['cortical_mapping_dst'] = dict()
+
+                for parameter in template:
+                    runtime_data.genome["blueprint"][cortical_id_][parameter] = template[parameter]
+
+                # runtime_data.genome["blueprint"][cortical_id_]["per_voxel_neuron_cnt"] = \
+                #     template['per_voxel_neuron_cnt']
+                # runtime_data.genome["blueprint"][cortical_id_]["synapse_attractivity"] = \
+                #     template['synapse_attractivity']
+                # runtime_data.genome["blueprint"][cortical_id_]["postsynaptic_current"] = \
+                #     template['postsynaptic_current']
+                # runtime_data.genome["blueprint"][cortical_id_]["plasticity_constant"] = \
+                #     template['plasticity_constant']
+                # runtime_data.genome["blueprint"][cortical_id_]["degeneration"] = \
+                #     template['degeneration']
+                # runtime_data.genome["blueprint"][cortical_id_]["psp_uniform_distribution"] = \
+                #     template['psp_uniform_distribution']
+                # runtime_data.genome["blueprint"][cortical_id_]["postsynaptic_current_max"] = \
+                #     template['postsynaptic_current_max']
+                # runtime_data.genome["blueprint"][cortical_id_]["mp_charge_accumulation"] = \
+                #     template['mp_charge_accumulation']
+                # runtime_data.genome["blueprint"][cortical_id_]["mp_driven_psp"] = \
+                #     template['mp_driven_psp']
+                # runtime_data.genome["blueprint"][cortical_id_]["firing_threshold_increment"] = \
+                #     template['firing_threshold_increment']
+                # runtime_data.genome["blueprint"][cortical_id_]["firing_threshold_limit"] = \
+                #     template['firing_threshold_limit']
+
+                runtime_data.genome["blueprint"][cortical_id_]["group_id"] = cortical_properties['cortical_type']
+
+                neuroembryogenesis.voxelogenesis(cortical_area=cortical_id_)
+                neuroembryogenesis.neurogenesis(cortical_area=cortical_id_)
+                init_fcl(cortical_id_)
+                init_cortical_cumulative_stats(cortical_area=cortical_id_)
+                runtime_data.cortical_dimensions = generate_cortical_dimensions()
+                runtime_data.cortical_dimensions_by_id = generate_cortical_dimensions_by_id()
+
+                save_genome(genome=genome_v1_v2_converter(runtime_data.genome),
+                            file_name=runtime_data.connectome_path + "genome.json")
+                runtime_data.last_genome_modification_time = datetime.datetime.now()
+                return cortical_id_
         else:
-            reset_connectome_file(cortical_area=cortical_id_)
-            runtime_data.voxel_dict[cortical_id_] = dict()
-            runtime_data.genome['blueprint'][cortical_id_] = dict()
-            runtime_data.cortical_list = genome_1_cortical_list(runtime_data.genome)
-            runtime_data.genome["blueprint"][cortical_id_] = \
-                template.copy()
-            runtime_data.genome["blueprint"][cortical_id_]["cortical_name"] = cortical_name
-            runtime_data.genome['blueprint'][cortical_id_]["block_boundaries"] = \
-                [cortical_properties['channel_count'] *
-                 templates.cortical_types[cortical_type]['supported_devices'][cortical_id_]['resolution'][0],
-                 templates.cortical_types[cortical_type]['supported_devices'][cortical_id_]['resolution'][1],
-                 templates.cortical_types[cortical_type]['supported_devices'][cortical_id_]['resolution'][2],
-                 ]
-
-            runtime_data.genome['blueprint'][cortical_id_]["relative_coordinate"] = \
-                [cortical_properties['coordinates_3d'][0],
-                 cortical_properties['coordinates_3d'][1],
-                 cortical_properties['coordinates_3d'][2]]
-
-            runtime_data.genome['blueprint'][cortical_id_]["2d_coordinate"] = \
-                [cortical_properties['coordinates_2d'][0],
-                 cortical_properties['coordinates_2d'][1]]
-
-            runtime_data.genome['blueprint'][cortical_id_]['cortical_mapping_dst'] = dict()
-
-            for parameter in template:
-                runtime_data.genome["blueprint"][cortical_id_][parameter] = template[parameter]
-
-            # runtime_data.genome["blueprint"][cortical_id_]["per_voxel_neuron_cnt"] = \
-            #     template['per_voxel_neuron_cnt']
-            # runtime_data.genome["blueprint"][cortical_id_]["synapse_attractivity"] = \
-            #     template['synapse_attractivity']
-            # runtime_data.genome["blueprint"][cortical_id_]["postsynaptic_current"] = \
-            #     template['postsynaptic_current']
-            # runtime_data.genome["blueprint"][cortical_id_]["plasticity_constant"] = \
-            #     template['plasticity_constant']
-            # runtime_data.genome["blueprint"][cortical_id_]["degeneration"] = \
-            #     template['degeneration']
-            # runtime_data.genome["blueprint"][cortical_id_]["psp_uniform_distribution"] = \
-            #     template['psp_uniform_distribution']
-            # runtime_data.genome["blueprint"][cortical_id_]["postsynaptic_current_max"] = \
-            #     template['postsynaptic_current_max']
-            # runtime_data.genome["blueprint"][cortical_id_]["mp_charge_accumulation"] = \
-            #     template['mp_charge_accumulation']
-            # runtime_data.genome["blueprint"][cortical_id_]["mp_driven_psp"] = \
-            #     template['mp_driven_psp']
-            # runtime_data.genome["blueprint"][cortical_id_]["firing_threshold_increment"] = \
-            #     template['firing_threshold_increment']
-            # runtime_data.genome["blueprint"][cortical_id_]["firing_threshold_limit"] = \
-            #     template['firing_threshold_limit']
-
-            runtime_data.genome["blueprint"][cortical_id_]["group_id"] = cortical_properties['cortical_type']
-
-            neuroembryogenesis.voxelogenesis(cortical_area=cortical_id_)
-            neuroembryogenesis.neurogenesis(cortical_area=cortical_id_)
-            init_fcl(cortical_id_)
-            init_cortical_cumulative_stats(cortical_area=cortical_id_)
-            runtime_data.cortical_dimensions = generate_cortical_dimensions()
-            runtime_data.cortical_dimensions_by_id = generate_cortical_dimensions_by_id()
-
-            save_genome(genome=genome_v1_v2_converter(runtime_data.genome),
-                        file_name=runtime_data.connectome_path + "genome.json")
-            runtime_data.last_genome_modification_time = datetime.datetime.now()
-            return cortical_id_
+            print(f"Warning! while adding core cortical area. {cortical_id_} is not defined as {cortical_type}, possibly a bad gene.")
 
     except KeyError:
         print("Error: New cortical area was not added.", traceback.print_exc())
@@ -849,6 +852,7 @@ def append_circuit(source_genome, circuit_origin):
                     dst_blueprint[new_cortical_area_id]["relative_coordinate"][0] = new_coordinates[0]
                     dst_blueprint[new_cortical_area_id]["relative_coordinate"][1] = new_coordinates[1]
                     dst_blueprint[new_cortical_area_id]["relative_coordinate"][2] = new_coordinates[2]
+                    runtime_data.cortical_dimensions_by_id = generate_cortical_dimensions_by_id()
                     print(f"---------------Successfully imported a new cortical area.  "
                           f"id:{new_cortical_area_id} name:{new_cortical_name}")
                 else:
diff --git a/src/inf/db_handler.py b/src/inf/db_handler.py
index ea42f37de..26cce85f1 100644
--- a/src/inf/db_handler.py
+++ b/src/inf/db_handler.py
@@ -218,7 +218,7 @@ def __init__(self):
                 print("Successfully connected to InfluxDb! ")
 
             except Exception as e:
-                print("ERROR: Influx service is not running!!!", e, traceback.print_exc())
+                print("ERROR: Influx service is not running!!!", e)
         else:
             print("ERROR: Parameters are not set for InfluxDb configuration!")
 
diff --git a/src/inf/initialize.py b/src/inf/initialize.py
index 9f35e9b9a..87d811781 100644
--- a/src/inf/initialize.py
+++ b/src/inf/initialize.py
@@ -78,8 +78,10 @@ def deploy_genome(neuroembryogenesis_flag=False, reset_runtime_data_flag=False,
     runtime_data.genome_ver = "2.0"
 
     # todo temp check to find a better solution
-    if "lifespan_mgmt_interval" not in runtime_data.genome:
-        runtime_data.genome["lifespan_mgmt_interval"] = 10
+    if "physiology" not in runtime_data.genome:
+        runtime_data.genome["physiology"] = {}
+    if "lifespan_mgmt_interval" not in runtime_data.genome["physiology"]:
+        runtime_data.genome["physiology"]["lifespan_mgmt_interval"] = 10
 
     for _ in runtime_data.genome["blueprint"]:
         if "mp_charge_accumulation" not in runtime_data.genome["blueprint"][_]:
@@ -97,10 +99,10 @@ def deploy_genome(neuroembryogenesis_flag=False, reset_runtime_data_flag=False,
         if "leak_variability" not in runtime_data.genome["blueprint"][_]:
             runtime_data.genome["blueprint"][_]["leak_variability"] = 0
 
-    if "plasticity_queue_depth" not in runtime_data.genome:
-        runtime_data.genome["plasticity_queue_depth"] = 3
+    if "plasticity_queue_depth" not in runtime_data.genome["physiology"]:
+        runtime_data.genome["physiology"]["plasticity_queue_depth"] = 3
 
-    runtime_data.plasticity_queue_depth = runtime_data.genome["plasticity_queue_depth"]
+    runtime_data.plasticity_queue_depth = runtime_data.genome["physiology"]["plasticity_queue_depth"]
     init_fcl()
     init_brain()
     if 'genome_id' not in runtime_data.genome:
@@ -129,24 +131,24 @@ def deploy_genome(neuroembryogenesis_flag=False, reset_runtime_data_flag=False,
 #     import controller
 
 
-def detect_hardware():
-    """
-    Identifies the type of hardware the brain is running on so the right capabilities can be utilized
-    """
-    # todo
-
-    try:
-        with open('/sys/firmware/devicetree/base/model', "r") as file:
-            if "Raspberry" in file.read():
-                runtime_data.hardware = "raspberry_pi"
-    except:
-        print("Need to figure how other platforms can be detected")
-
-    runtime_data.hw_controller_path = '../third_party/' + \
-                                      runtime_data.genome['species']['brand'] + '/' +\
-                                      runtime_data.genome['species']['model'] + '/controller.py'
-    print("Hardware controller path: ", runtime_data.hw_controller_path)
-
+# def detect_hardware():
+#     """
+#     Identifies the type of hardware the brain is running on so the right capabilities can be utilized
+#     """
+#     # todo
+#
+#     try:
+#         with open('/sys/firmware/devicetree/base/model', "r") as file:
+#             if "Raspberry" in file.read():
+#                 runtime_data.hardware = "raspberry_pi"
+#     except:
+#         print("Need to figure how other platforms can be detected")
+#
+#     runtime_data.hw_controller_path = '../third_party/' + \
+#                                       runtime_data.genome['species']['brand'] + '/' +\
+#                                       runtime_data.genome['species']['model'] + '/controller.py'
+#     print("Hardware controller path: ", runtime_data.hw_controller_path)
+#
 
 def init_container_variables():
     """
@@ -403,14 +405,16 @@ def reset_runtime_data():
     runtime_data.genome = {}
     runtime_data.stats = {}
     runtime_data.brain = {}
+    runtime_data.cortical_list = []
     runtime_data.plasticity_dict = {}
-    runtime_data.cortical_list = {}
     runtime_data.memory_register = {}
     runtime_data.cortical_dimensions = {}
+    runtime_data.cortical_dimensions_by_id = {}
     runtime_data.stimulation_script = {}
     runtime_data.plasticity_queue_candidates = set()
     runtime_data.shock_admin = False
     runtime_data.shock_scenarios = tuple
+    runtime_data.intercortical_mapping = []
 
     # Clear brain activities
     runtime_data.fire_candidate_list = {}
@@ -455,8 +459,8 @@ def init_brain():
     init_genome_post_processes()
     generate_plasticity_dict()
     runtime_data.new_genome = True
-    if 'burst_delay' in runtime_data.genome:
-        runtime_data.burst_timer = float(runtime_data.genome['burst_delay'])
+    if 'burst_delay' in runtime_data.genome["physiology"]:
+        runtime_data.burst_timer = float(runtime_data.genome['physiology']['burst_delay'])
 
     print("\n\n=========================   Brain Initialization Complete ===================================\n\n")
     runtime_data.cumulative_stats = {}
@@ -489,7 +493,7 @@ def init_burst_engine():
     runtime_data.death_flag = False
 
     try:
-        runtime_data.burst_timer = float(runtime_data.genome['burst_delay'])
+        runtime_data.burst_timer = float(runtime_data.genome['physiology']['burst_delay'])
         print("Burst time has been set to:", runtime_data.burst_timer)
     except KeyError:
         print("\n\n==============================================")
diff --git a/src/inf/runtime_data.py b/src/inf/runtime_data.py
index 5c0b84479..071c261aa 100644
--- a/src/inf/runtime_data.py
+++ b/src/inf/runtime_data.py
@@ -43,6 +43,7 @@
 paths = {}
 pending_amalgamation = {}
 amalgamation_history = {}
+changes_saved_externally = False
 
 
 # Evolutionary
@@ -193,6 +194,13 @@
 }
 """
 agent_registry = {}
+host_info = {}
+connected_agents = {
+    "media_capture_ctrl": False,
+    "bluetooth_ctrl": False,
+    "godot_game_ctrl": False,
+    "zmq_to_ws_ctrl": False
+}
 
 
 # Unique Logs
diff --git a/src/mem/memory.py b/src/mem/memory.py
index 5b1daa866..15894e702 100644
--- a/src/mem/memory.py
+++ b/src/mem/memory.py
@@ -196,7 +196,7 @@ def lstm_lifespan_mgmt():
     """
     if runtime_data.memory_register:
         if runtime_data.burst_count > runtime_data.upcoming_lifesnap_mgmt:
-            runtime_data.upcoming_lifesnap_mgmt += runtime_data.genome["lifespan_mgmt_interval"]
+            runtime_data.upcoming_lifesnap_mgmt += runtime_data.genome["physiology"]["lifespan_mgmt_interval"]
 
             # Wipe short-term memory neurons that has expired
             memory_cleanup()
diff --git a/src/npu/burst_engine.py b/src/npu/burst_engine.py
index e491bf53a..df4444923 100644
--- a/src/npu/burst_engine.py
+++ b/src/npu/burst_engine.py
@@ -93,7 +93,7 @@ def burst_duration_calculator(controller_capabilities):
     #     alert_condition = elapsed_time.seconds > int(runtime_data.parameters['Timers']['alert_mode_duration'])
     #     if alert_condition:
     #         time_delta = datetime.now() - runtime_data.last_ipu_activity
-    #         if time_delta.seconds > int(runtime_data.genome['ipu_idle_threshold']):
+    #         if time_delta.seconds > int(runtime_data.genome["physiology"]['ipu_idle_threshold']):
     #             # Go to sleep by stopping IPU/OPU threads
     #             # todo: instead of turning off the IPU, reduce IPU responsiveness so via an trigger brain can awake
     #             print(">> >> Brain going to sleep..")
@@ -168,7 +168,7 @@ def burst_stats(burst_start_time):
                       % (runtime_data.burst_duration, runtime_data.burst_count) + settings.Bcolors.ENDC)
 
     def evolutionary_checkpoint():
-        if runtime_data.burst_count % runtime_data.genome['evolution_burst_count'] == 0:
+        if runtime_data.burst_count % runtime_data.genome["physiology"]['evolution_burst_count'] == 0:
             print('Evolution phase reached...')
             for area in runtime_data.cortical_list:
                 neuron_count, synapse_count = connectome_total_synapse_cnt(area)
@@ -598,6 +598,14 @@ def burst():
                 for neuron in runtime_data.brain["___pwr"]:
                     runtime_data.fire_candidate_list["___pwr"].add(neuron)
 
+            # Reset connected agent list
+            runtime_data.connected_agents = {
+                "media_capture_ctrl": False,
+                "bluetooth_ctrl": False,
+                "godot_game_ctrl": False,
+                "zmq_to_ws_ctrl": False
+            }
+
             # Manage ZMQ communication from and to FEAGI
             pns_manager()
 
diff --git a/src/pns/pns_router.py b/src/pns/pns_router.py
index 04d2a4b86..0b38dbeec 100644
--- a/src/pns/pns_router.py
+++ b/src/pns/pns_router.py
@@ -81,6 +81,12 @@ def stimuli_router(ipu_data):
                     print("ERROR while processing Stimulation IPU", ipu_data["data"]["direct_stimulation"], ">>", e,
                           traceback.format_exc())
 
+        if "connected_agents" in ipu_data["data"]:
+            if ipu_data["data"]["connected_agents"]:
+                for connected_agent in ipu_data["data"]["connected_agents"]:
+                    if not runtime_data.connected_agents[connected_agent]:
+                        runtime_data.connected_agents[connected_agent] = True
+
         if "sensory_data" in ipu_data["data"]:
             for sensor_type in ipu_data["data"]["sensory_data"]:
                 # Ultrasonic / Lidar Handler
diff --git a/third_party/visualizers/grafana/Dockerfile b/third_party/visualizers/grafana/Dockerfile
deleted file mode 100644
index f92819ba5..000000000
--- a/third_party/visualizers/grafana/Dockerfile
+++ /dev/null
@@ -1,9 +0,0 @@
-FROM grafana/grafana:8.2.5-ubuntu
-
-ENV GF_AUTH_DISABLE_LOGIN_FORM=true
-ENV GF_AUTH_ANONYMOUS_ENABLED=true
-ENV GF_AUTH_ANONYMOUS_ORG_ROLE=Admin
-
-COPY ./provisioning /etc/grafana/provisioning
-COPY ./grafana.ini /etc/grafana/grafana.ini
-COPY ./dashboards /etc/grafana/dashboards
diff --git a/third_party/visualizers/grafana/README.md b/third_party/visualizers/grafana/README.md
deleted file mode 100644
index a02ede6b6..000000000
--- a/third_party/visualizers/grafana/README.md
+++ /dev/null
@@ -1,60 +0,0 @@
-# The information in this file may be outdated. Please refer to the [grafana](https://github.com/feagi/feagi/wiki/Grafana) page in the wiki for the most up to date information.
-
-# **Visualizing FEAGI data with Grafana**
-Users have the option to perform real-time monitoring of artificial brain activities (ex: membrane potentials, active cortical areas, composite network activity, current burst index etc.) during FEAGI runtime, which can be useful for troubleshooting and gaining insights into artificial brain functioning. This is achieved using [Grafana](https://grafana.com) combined with [InfluxDB](https://www.influxdata.com) serving as a Grafana datasource for the various forms of time series data generated by FEAGI. These tools can be quickly deployed alongside FEAGI using a containerized approach with minimal user setup required.  
-
-## **Grafana**
-Grafana is an open source web application that provides customizable data visualization where users can create dashboards for visualizing data obtained from a datasource (ex: a database). Configuration files for both dashboards and datasources can be found in `/feagi/third_party/grafana/provisioning` in the `dashboards/` and `datasources/` directories, respectively. General configuration of Grafana itself is achieved through the `grafana.ini` configuration file found in `/feagi/third_party/grafana/`. For more extensive Grafana configuration information, view the Grafana configuration [documentation](https://grafana.com/docs/grafana/latest/administration/configuration/). 
-
-As mentioned previously, Grafana uses InfluxDB as a datasource, which stores time series data collected from FEAGI during execution. The aforementioned datasource configuration file for the InfluxDB datasource contains data for authenticating the InfluxDB instance, connecting to the database URL and specifying the target bucket for data storage. For this containerized deployment, it is recommended that users refrain from altering any of the accessible configuration files to avoid corrupting connections amongst services.
-
-**NOTE:** This deployment uses InfluxDB version 2 (`v2.0.7`), which relies on the functional data scripting language [Flux](https://docs.influxdata.com/flux/v0.x/get-started/) for querying and other data processing operations instead of the SQL-like [InfluxQL](https://docs.influxdata.com/influxdb/v1.8/query_language/) associated with earlier versions of InfluxDB (`< v2.0`). A sample Flux query is provided below to show the basic structure and highlight differences from InfluxQL syntax.
- 
-```
-from(bucket: "example-bucket")
-  |> range(start: -1d)
-  |> filter(fn: (r) => r._measurement == "example-measurement")
-  |> mean()
-  |> yield(name: "_results")
-```
-**Sample Flux query**
-
-## **Deploying networked FEAGI, InfluxDB and Grafana containers using `docker-compose`(Outdated)**
-To deploy a containerized setup consisting of FEAGI, InfluxDB and Grafana, navigate to `/feagi/docker/` and enter the following commands as shown below (assuming both [Docker](https://docs.docker.com/get-docker/) and [docker-compose](https://docs.docker.com/compose/install/) are installed on the host machine):
-
-**Build the images**
-- `docker-compose -f docker-compose-feagi-influx-grafana.yml build --no-cache`
-
-**Start the containers**
-- `docker-compose -f docker-compose-feagi-influx-grafana.yml up`
-
-**Access Grafana**
-- Navigate to `http://localhost:3000` in a web browser to access the Grafana main menu, where users may select an existing data visualization dashboard (ex: `test_dashbboard` - a simple, one-panel dashboard for visualizing FEAGI neuron burst data to verify connectivity) or create a new, customized dashboard by clicking on the dashboard icon, then `Manage`, followed by `New Dashboard`.
-
-  &nbsp;  
-  ![dashboard_mgmt](./_static/grafana_mgmt.png)  
-  **Access Grafana dashboard management (if needed) via the menu dock**
-
-- To learn more about Grafana dashboards (creation, customization, management, etc.), visit the following resources:
-    - [Grafana Dashboard overview](https://grafana.com/docs/grafana/latest/dashboards/?pg=docs)
-
-    - [Best practices for creating dashboards](https://grafana.com/docs/grafana/latest/best-practices/best-practices-for-creating-dashboards/)
-
-    - [Change default dashboard](https://grafana.com/docs/grafana/latest/administration/preferences/change-home-dashboard/)
-        
-    - [Add panels to a dashboard](https://grafana.com/docs/grafana/latest/panels/add-a-panel/)
-
-**Confirm FEAGI data is flowing to Grafana**
-- After running `docker-compose -f docker-compose-feagi-influx-grafana.yml up`, data should begin flowing from FEAGI (to InfluxDB) to Grafana and, if configured accordingly, appear in the dashboard in the respective panel(s), similar to the figure shown below.
-
-  &nbsp;  
-  ![grafana_data](./_static/grafana_data.gif)  
-  **Example of FEAGI data being displayed in the panel of a Grafana dashboard**
- 
-- If no data appears in the dashboard despite appropriate configuration, it may be necessary to change the dashboard's Time Range (upper right corner of dashboard), which controls how far into the past the panel's time scale extends, to one of the values present in the dropdown menu (ex: Last _n_ minutes).
-
-  &nbsp;  
-  ![time_range](./_static/grafana_menu.png)  
-  **Location of Time Range dropdown menu on a Grafana dashboard**  
-
-- After confirming that data is flowing to the Grafana dashboard, make any desired adjustments to the dashboard's appearance and/or properties using the Grafana dashboard user interface.
diff --git a/third_party/visualizers/grafana/_static/grafana_data.gif b/third_party/visualizers/grafana/_static/grafana_data.gif
deleted file mode 100644
index d890e2d82..000000000
Binary files a/third_party/visualizers/grafana/_static/grafana_data.gif and /dev/null differ
diff --git a/third_party/visualizers/grafana/_static/grafana_menu.png b/third_party/visualizers/grafana/_static/grafana_menu.png
deleted file mode 100644
index cac222695..000000000
Binary files a/third_party/visualizers/grafana/_static/grafana_menu.png and /dev/null differ
diff --git a/third_party/visualizers/grafana/_static/grafana_mgmt.png b/third_party/visualizers/grafana/_static/grafana_mgmt.png
deleted file mode 100644
index d0baa4df3..000000000
Binary files a/third_party/visualizers/grafana/_static/grafana_mgmt.png and /dev/null differ
diff --git a/third_party/visualizers/grafana/dashboards/archive/default_dashboard_old.json b/third_party/visualizers/grafana/dashboards/archive/default_dashboard_old.json
deleted file mode 100644
index ffcdb6ec5..000000000
--- a/third_party/visualizers/grafana/dashboards/archive/default_dashboard_old.json
+++ /dev/null
@@ -1,151 +0,0 @@
-{
-  "annotations": {
-    "list": [
-      {
-        "builtIn": 1,
-        "datasource": "-- Grafana --",
-        "enable": true,
-        "hide": true,
-        "iconColor": "rgba(0, 211, 255, 1)",
-        "name": "Annotations & Alerts",
-        "target": {
-          "limit": 100,
-          "matchAny": false,
-          "tags": [],
-          "type": "dashboard"
-        },
-        "type": "dashboard"
-      }
-    ]
-  },
-  "editable": true,
-  "fiscalYearStartMonth": 0,
-  "gnetId": null,
-  "graphTooltip": 0,
-  "id": 1,
-  "links": [],
-  "liveNow": false,
-  "panels": [
-    {
-      "datasource": null,
-      "fieldConfig": {
-        "defaults": {
-          "color": {
-            "mode": "palette-classic"
-          },
-          "custom": {
-            "axisLabel": "",
-            "axisPlacement": "auto",
-            "barAlignment": 0,
-            "drawStyle": "line",
-            "fillOpacity": 10,
-            "gradientMode": "none",
-            "hideFrom": {
-              "legend": false,
-              "tooltip": false,
-              "viz": false
-            },
-            "lineInterpolation": "linear",
-            "lineWidth": 1,
-            "pointSize": 4,
-            "scaleDistribution": {
-              "type": "linear"
-            },
-            "showPoints": "always",
-            "spanNulls": false,
-            "stacking": {
-              "group": "A",
-              "mode": "normal"
-            },
-            "thresholdsStyle": {
-              "mode": "off"
-            }
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              {
-                "color": "green",
-                "value": null
-              },
-              {
-                "color": "red",
-                "value": 80
-              }
-            ]
-          },
-          "unit": "mvolt"
-        },
-        "overrides": []
-      },
-      "gridPos": {
-        "h": 8,
-        "w": 24,
-        "x": 0,
-        "y": 0
-      },
-      "id": 6,
-      "links": [],
-      "options": {
-        "legend": {
-          "calcs": [
-            "lastNotNull",
-            "delta",
-            "min",
-            "max"
-          ],
-          "displayMode": "table",
-          "placement": "bottom"
-        },
-        "tooltip": {
-          "mode": "single"
-        }
-      },
-      "pluginVersion": "8.2.5",
-      "targets": [
-        {
-          "alias": "Membrane Potentials",
-          "groupBy": [],
-          "measurement": "membranePotential",
-          "orderByTime": "ASC",
-          "policy": "autogen",
-          "query": "from(bucket: \"data\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"_measurement\"] == \"membranePotential\" and r[\"_field\"] == \"membrane_potential\" and r[\"_value\"] > 0)\n  |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n  |> drop(columns: [\"_field\", \"_start\", \"_stop\", \"connectome\", \"_measurement\"])\n  |> yield(name: \"mean\")",
-          "refId": "A",
-          "resultFormat": "time_series",
-          "select": [
-            [
-              {
-                "params": [
-                  "membrane_potential"
-                ],
-                "type": "field"
-              }
-            ]
-          ],
-          "tags": []
-        }
-      ],
-      "timeFrom": "5m",
-      "timeShift": null,
-      "title": "Membrane Potentials",
-      "type": "timeseries"
-    }
-  ],
-  "refresh": "30s",
-  "schemaVersion": 32,
-  "style": "dark",
-  "tags": [],
-  "templating": {
-    "list": []
-  },
-  "time": {
-    "from": "now-5m",
-    "to": "now"
-  },
-  "timepicker": {},
-  "timezone": "",
-  "title": "test_dashboard",
-  "uid": "C1ndOctnk",
-  "version": 24
-}
\ No newline at end of file
diff --git a/third_party/visualizers/grafana/dashboards/default_dashboard.json b/third_party/visualizers/grafana/dashboards/default_dashboard.json
deleted file mode 100644
index 84679125a..000000000
--- a/third_party/visualizers/grafana/dashboards/default_dashboard.json
+++ /dev/null
@@ -1,741 +0,0 @@
-{
-  "annotations": {
-    "list": [
-      {
-        "builtIn": 1,
-        "datasource": "-- Grafana --",
-        "enable": true,
-        "hide": true,
-        "iconColor": "rgba(0, 211, 255, 1)",
-        "name": "Annotations & Alerts",
-        "target": {
-          "limit": 100,
-          "matchAny": false,
-          "tags": [],
-          "type": "dashboard"
-        },
-        "type": "dashboard"
-      },
-      {
-        "datasource": "InfluxDB_v2_Flux",
-        "enable": false,
-        "iconColor": "red",
-        "mappings": {
-          "id": {
-            "source": "field",
-            "value": "Neuron m__inf"
-          },
-          "tags": {
-            "source": "field",
-            "value": "Neuron m__inf"
-          },
-          "text": {
-            "source": "field",
-            "value": "Neuron m__inf"
-          },
-          "time": {
-            "source": "field",
-            "value": "Time"
-          },
-          "timeEnd": {
-            "source": "field",
-            "value": "Time"
-          },
-          "title": {
-            "source": "field",
-            "value": "Neuron m__inf"
-          }
-        },
-        "name": "Shocks",
-        "target": {
-          "limit": 10,
-          "query": "from(bucket: \"data\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> drop(columns:[\"connectome\"])\n  |> filter(fn: (r) => r[\"_measurement\"] == \"neuron\")\n  |> filter(fn: (r) => r[\"_field\"] == \"membrane_potential\" and r[\"dst_cortical_area\"] == \"i__shok\" )\n  |> drop(columns:[\"dst_voxel_x\", \"dst_voxel_y\", \"dst_voxel_z\", \"dst_neuron_id\", \"dst_voxel_id\"])\n  |> set(key: \"_field\", value: \"Neuron\")\n",
-          "refId": "Anno",
-          "type": "tags"
-        }
-      }
-    ]
-  },
-  "editable": true,
-  "fiscalYearStartMonth": 0,
-  "gnetId": null,
-  "graphTooltip": 1,
-  "id": 3,
-  "iteration": 1654958850174,
-  "links": [],
-  "liveNow": false,
-  "panels": [
-    {
-      "datasource": null,
-      "fieldConfig": {
-        "defaults": {
-          "color": {
-            "mode": "palette-classic"
-          },
-          "custom": {
-            "axisLabel": "",
-            "axisPlacement": "auto",
-            "barAlignment": 0,
-            "drawStyle": "line",
-            "fillOpacity": 0,
-            "gradientMode": "none",
-            "hideFrom": {
-              "legend": false,
-              "tooltip": false,
-              "viz": false
-            },
-            "lineInterpolation": "linear",
-            "lineWidth": 1,
-            "pointSize": 5,
-            "scaleDistribution": {
-              "type": "linear"
-            },
-            "showPoints": "auto",
-            "spanNulls": false,
-            "stacking": {
-              "group": "A",
-              "mode": "none"
-            },
-            "thresholdsStyle": {
-              "mode": "off"
-            }
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              {
-                "color": "green",
-                "value": null
-              },
-              {
-                "color": "red",
-                "value": 80
-              }
-            ]
-          }
-        },
-        "overrides": []
-      },
-      "gridPos": {
-        "h": 12,
-        "w": 24,
-        "x": 0,
-        "y": 0
-      },
-      "id": 9,
-      "options": {
-        "legend": {
-          "calcs": [],
-          "displayMode": "list",
-          "placement": "bottom"
-        },
-        "tooltip": {
-          "mode": "single"
-        }
-      },
-      "targets": [
-        {
-          "query": "from(bucket: \"data\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> drop(columns:[\"connectome\"])\n  |> filter(fn: (r) => r[\"_measurement\"] == \"neuron\")\n  |> filter(fn: (r) => r[\"_field\"] == \"membrane_potential\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/ )\n  |> filter(fn: (r) => r[\"dst_voxel_x\"] =~ /^${dst_vox_x:regex}$/ and r[\"dst_voxel_y\"] =~ /^${dst_vox_y:regex}$/ and r[\"dst_voxel_z\"] =~ /^${dst_vox_z:regex}$/ )\n  |> drop(columns:[\"dst_voxel_x\", \"dst_voxel_y\", \"dst_voxel_z\"])\n  |> set(key: \"_field\", value: \"Neuron\")\n",
-          "refId": "A"
-        }
-      ],
-      "title": "Membrane Potentials",
-      "transformations": [
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "cortical_area",
-            "renamePattern": "area"
-          }
-        },
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "(\\d+-\\d+-\\d+_\\d+:\\d+:\\d+_\\d+_)(\\w+)(_N)",
-            "renamePattern": "$2"
-          }
-        },
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "voxel_id",
-            "renamePattern": "vox"
-          }
-        },
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "Neuron ",
-            "renamePattern": ""
-          }
-        }
-      ],
-      "type": "timeseries"
-    },
-    {
-      "datasource": null,
-      "fieldConfig": {
-        "defaults": {
-          "color": {
-            "mode": "palette-classic"
-          },
-          "custom": {
-            "axisLabel": "",
-            "axisPlacement": "auto",
-            "barAlignment": 0,
-            "drawStyle": "line",
-            "fillOpacity": 10,
-            "gradientMode": "none",
-            "hideFrom": {
-              "legend": false,
-              "tooltip": false,
-              "viz": false
-            },
-            "lineInterpolation": "linear",
-            "lineWidth": 1,
-            "pointSize": 4,
-            "scaleDistribution": {
-              "type": "linear"
-            },
-            "showPoints": "always",
-            "spanNulls": false,
-            "stacking": {
-              "group": "A",
-              "mode": "normal"
-            },
-            "thresholdsStyle": {
-              "mode": "off"
-            }
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              {
-                "color": "green",
-                "value": null
-              },
-              {
-                "color": "red",
-                "value": 80
-              }
-            ]
-          },
-          "unit": "none"
-        },
-        "overrides": []
-      },
-      "gridPos": {
-        "h": 8,
-        "w": 24,
-        "x": 0,
-        "y": 12
-      },
-      "id": 6,
-      "links": [],
-      "options": {
-        "legend": {
-          "calcs": [],
-          "displayMode": "table",
-          "placement": "bottom"
-        },
-        "tooltip": {
-          "mode": "single"
-        }
-      },
-      "pluginVersion": "8.2.5",
-      "targets": [
-        {
-          "alias": "Membrane Potentials",
-          "groupBy": [],
-          "measurement": "membranePotential",
-          "orderByTime": "ASC",
-          "policy": "autogen",
-          "query": "from(bucket: \"data\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"_measurement\"] == \"synapse\")\n  |> filter(fn: (r) => r[\"_field\"] == \"postSynapticCurrent\" and (r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/))\n  |> filter(fn: (r) => r[\"src_neuron_id\"] =~ /^${src_neuron_id:regex}$/ and r[\"dst_neuron_id\"] =~ /^${dst_neuron_id:regex}$/)\n  |> filter(fn: (r) => r[\"dst_voxel_x\"] =~ /^${dst_vox_x:regex}$/ and r[\"dst_voxel_y\"] =~ /^${dst_vox_y:regex}$/ and r[\"dst_voxel_z\"] =~ /^${dst_vox_z:regex}$/ )\n  |> drop(columns:[\"connectome\", \"src_voxel_x\", \"src_voxel_y\", \"src_voxel_z\", \"dst_voxel_x\", \"dst_voxel_y\", \"dst_voxel_z\"])\n  |> yield(name: \"mean\")",
-          "refId": "A",
-          "resultFormat": "time_series",
-          "select": [
-            [
-              {
-                "params": [
-                  "membrane_potential"
-                ],
-                "type": "field"
-              }
-            ]
-          ],
-          "tags": []
-        }
-      ],
-      "timeShift": null,
-      "title": "Post Synaptic Currents",
-      "transformations": [
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "cortical_area",
-            "renamePattern": "area"
-          }
-        },
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "(\\d+-\\d+-\\d+_\\d+:\\d+:\\d+_\\d+_)(\\w+)(_N)",
-            "renamePattern": "$2"
-          }
-        },
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "voxel_id",
-            "renamePattern": "vox"
-          }
-        },
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "postSynapticCurrent ",
-            "renamePattern": ""
-          }
-        },
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "(\\d+-\\d+-\\d+_\\d+:\\d+:\\d+_\\d+_)(\\w+)(_N)",
-            "renamePattern": "$2"
-          }
-        },
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "voxel_id",
-            "renamePattern": "vox"
-          }
-        }
-      ],
-      "type": "timeseries"
-    },
-    {
-      "datasource": null,
-      "fieldConfig": {
-        "defaults": {
-          "color": {
-            "mode": "palette-classic"
-          },
-          "custom": {
-            "axisLabel": "",
-            "axisPlacement": "auto",
-            "barAlignment": 0,
-            "drawStyle": "line",
-            "fillOpacity": 0,
-            "gradientMode": "none",
-            "hideFrom": {
-              "legend": false,
-              "tooltip": false,
-              "viz": false
-            },
-            "lineInterpolation": "linear",
-            "lineWidth": 1,
-            "pointSize": 5,
-            "scaleDistribution": {
-              "type": "linear"
-            },
-            "showPoints": "auto",
-            "spanNulls": true,
-            "stacking": {
-              "group": "A",
-              "mode": "none"
-            },
-            "thresholdsStyle": {
-              "mode": "off"
-            }
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              {
-                "color": "green",
-                "value": null
-              },
-              {
-                "color": "red",
-                "value": 80
-              }
-            ]
-          }
-        },
-        "overrides": []
-      },
-      "gridPos": {
-        "h": 12,
-        "w": 24,
-        "x": 0,
-        "y": 20
-      },
-      "id": 8,
-      "options": {
-        "legend": {
-          "calcs": [],
-          "displayMode": "list",
-          "placement": "bottom"
-        },
-        "tooltip": {
-          "mode": "multi"
-        }
-      },
-      "pluginVersion": "8.2.5",
-      "targets": [
-        {
-          "query": "from(bucket: \"data\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> drop(columns:[\"connectome\"])\n  |> filter(fn: (r) => r[\"_measurement\"] == \"neuron\")\n  |> filter(fn: (r) => r[\"dst_voxel_x\"] =~ /^${dst_vox_x:regex}$/ and r[\"dst_voxel_y\"] =~ /^${dst_vox_y:regex}$/ and r[\"dst_voxel_z\"] =~ /^${dst_vox_z:regex}$/ )\n  |> drop(columns:[\"dst_voxel_x\", \"dst_voxel_y\", \"dst_voxel_z\", \"dst_voxel_id\", \"dst_neuron_id\"])\n  |> set(key: \"_field\", value: \"Neuron\")\n  |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n  |> yield(name: \"average\")\n",
-          "refId": "A"
-        }
-      ],
-      "timeFrom": null,
-      "timeShift": null,
-      "title": "Average Neuron Fire Count",
-      "transformations": [
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "cortical_area",
-            "renamePattern": "area"
-          }
-        },
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "(\\d+-\\d+-\\d+_\\d+:\\d+:\\d+_\\d+_)(\\w+)(_N)",
-            "renamePattern": "$2"
-          }
-        },
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "voxel_id",
-            "renamePattern": "vox"
-          }
-        },
-        {
-          "id": "renameByRegex",
-          "options": {
-            "regex": "Neuron ",
-            "renamePattern": ""
-          }
-        }
-      ],
-      "type": "timeseries"
-    }
-  ],
-  "refresh": "1s",
-  "schemaVersion": 32,
-  "style": "dark",
-  "tags": [],
-  "templating": {
-    "list": [
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"neuron\"  or r[\"_measurement\"] == \"synapse\",\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Destination Cortical Area",
-        "multi": true,
-        "name": "dst_cortical_area",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"neuron\"  or r[\"_measurement\"] == \"synapse\",\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_voxel_x\",\n    predicate: (r) =>  r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Dst Vox X",
-        "multi": true,
-        "name": "dst_vox_x",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_voxel_x\",\n    predicate: (r) =>  r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_voxel_y\",\n    predicate: (r) =>  r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Dst Vox Y",
-        "multi": true,
-        "name": "dst_vox_y",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_voxel_y\",\n    predicate: (r) =>  r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_voxel_z\",\n    predicate: (r) =>  r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Dst Vox Z",
-        "multi": true,
-        "name": "dst_vox_z",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_voxel_z\",\n    predicate: (r) =>  r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": false,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"neuron\" or r[\"_measurement\"] == \"synapse\",\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Source Cortical Area",
-        "multi": true,
-        "name": "src_cortical_area",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"neuron\" or r[\"_measurement\"] == \"synapse\",\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_voxel_x\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Src Vox X",
-        "multi": true,
-        "name": "src_vox_x",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_voxel_x\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_voxel_y\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Src Vox Y",
-        "multi": true,
-        "name": "src_vox_y",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_voxel_y\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_voxel_z\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Src Vox Z",
-        "multi": true,
-        "name": "src_vox_z",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_voxel_z\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Destination Neuron ID",
-        "multi": true,
-        "name": "dst_neuron_id",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Source Neuron ID",
-        "multi": true,
-        "name": "src_neuron_id",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      }
-    ]
-  },
-  "time": {
-    "from": "now-2m",
-    "to": "now"
-  },
-  "timepicker": {
-    "refresh_intervals": [
-      "1s",
-      "5s",
-      "10s",
-      "30s",
-      "1m",
-      "5m",
-      "15m",
-      "30m",
-      "1h",
-      "1d"
-    ]
-  },
-  "timezone": "",
-  "title": "FEAGI Brain Activity Analyzer",
-  "uid": "Se3OI7f7k",
-  "version": 76
-}
\ No newline at end of file
diff --git a/third_party/visualizers/grafana/dashboards/game_results.json b/third_party/visualizers/grafana/dashboards/game_results.json
deleted file mode 100644
index 4bdea7b01..000000000
--- a/third_party/visualizers/grafana/dashboards/game_results.json
+++ /dev/null
@@ -1,487 +0,0 @@
-{
-  "annotations": {
-    "list": [
-      {
-        "builtIn": 1,
-        "datasource": "-- Grafana --",
-        "enable": true,
-        "hide": true,
-        "iconColor": "rgba(0, 211, 255, 1)",
-        "name": "Annotations & Alerts",
-        "target": {
-          "limit": 100,
-          "matchAny": false,
-          "tags": [],
-          "type": "dashboard"
-        },
-        "type": "dashboard"
-      }
-    ]
-  },
-  "editable": true,
-  "fiscalYearStartMonth": 0,
-  "gnetId": null,
-  "graphTooltip": 0,
-  "id": 6,
-  "iteration": 1696132533966,
-  "links": [],
-  "liveNow": false,
-  "panels": [
-    {
-      "datasource": null,
-      "fieldConfig": {
-        "defaults": {
-          "color": {
-            "mode": "palette-classic"
-          },
-          "custom": {
-            "hideFrom": {
-              "legend": false,
-              "tooltip": false,
-              "viz": false
-            }
-          },
-          "mappings": []
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byName",
-              "options": "count punishment"
-            },
-            "properties": [
-              {
-                "id": "color",
-                "value": {
-                  "fixedColor": "light-red",
-                  "mode": "fixed"
-                }
-              }
-            ]
-          },
-          {
-            "matcher": {
-              "id": "byName",
-              "options": "count success"
-            },
-            "properties": [
-              {
-                "id": "color",
-                "value": {
-                  "fixedColor": "green",
-                  "mode": "fixed"
-                }
-              }
-            ]
-          }
-        ]
-      },
-      "gridPos": {
-        "h": 11,
-        "w": 9,
-        "x": 0,
-        "y": 0
-      },
-      "id": 4,
-      "options": {
-        "displayLabels": [
-          "value"
-        ],
-        "legend": {
-          "displayMode": "list",
-          "placement": "bottom"
-        },
-        "pieType": "pie",
-        "reduceOptions": {
-          "calcs": [
-            "count"
-          ],
-          "fields": "",
-          "values": false
-        },
-        "tooltip": {
-          "mode": "single"
-        }
-      },
-      "repeat": "TimeInterval",
-      "repeatDirection": "h",
-      "targets": [
-        {
-          "query": "from(bucket: \"data\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"_measurement\"] == \"game_result\")\n  |> filter(fn: (r) => r[\"_field\"] == \"count\")\n  |> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)\n  |> yield(name: \"sum\")\n",
-          "refId": "A"
-        }
-      ],
-      "title": "Success vs Punishment",
-      "transparent": true,
-      "type": "piechart"
-    },
-    {
-      "datasource": null,
-      "fieldConfig": {
-        "defaults": {
-          "color": {
-            "mode": "thresholds"
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              {
-                "color": "green",
-                "value": null
-              },
-              {
-                "color": "red",
-                "value": 80
-              }
-            ]
-          },
-          "unit": "percent"
-        },
-        "overrides": []
-      },
-      "gridPos": {
-        "h": 11,
-        "w": 5,
-        "x": 9,
-        "y": 0
-      },
-      "id": 8,
-      "options": {
-        "colorMode": "value",
-        "graphMode": "area",
-        "justifyMode": "auto",
-        "orientation": "auto",
-        "reduceOptions": {
-          "calcs": [
-            "lastNotNull"
-          ],
-          "fields": "",
-          "values": false
-        },
-        "text": {
-          "titleSize": 1
-        },
-        "textMode": "auto"
-      },
-      "pluginVersion": "8.2.5",
-      "targets": [
-        {
-          "query": "// Define the bucket and time range\nbucket = \"data\"\nstart_time = v.timeRangeStart\nstop_time = v.timeRangeStop\n\n// Count of success\nsuccessCount = from(bucket: bucket)\n  |> range(start: start_time, stop: stop_time)\n  |> filter(fn: (r) => \n      r[\"_measurement\"] == \"game_result\" and \n      r[\"_field\"] == \"count\" and \n      r[\"event\"] == \"success\"\n  )\n  |> count()\n\n// Count of punishment\npunishmentCount = from(bucket: bucket)\n  |> range(start: start_time, stop: stop_time)\n  |> filter(fn: (r) => \n      r[\"_measurement\"] == \"game_result\" and \n      r[\"_field\"] == \"count\" and \n      r[\"event\"] == \"punishment\"\n  )\n  |> count()\n\n// Calculate the success rate\nresult = join(\n  tables: {success: successCount, punishment: punishmentCount},\n  on: [\"_start\", \"_stop\"]\n)\n  |> map(fn: (r) => {\n    total = float(v: r._value_success) + float(v: r._value_punishment)\n    return {\n      _time: r._time,\n      _value: if total == 0.0 then 0.0 else float(v: r._value_success * 100) / total,\n      _field: \"successRate\"\n    }\n  })\n\n// Yield the result\nresult |> yield(name: \"successRate\")\n\n",
-          "refId": "A"
-        }
-      ],
-      "title": "Success Rate",
-      "type": "stat"
-    },
-    {
-      "datasource": null,
-      "fieldConfig": {
-        "defaults": {
-          "color": {
-            "mode": "thresholds"
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              {
-                "color": "green",
-                "value": null
-              }
-            ]
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byName",
-              "options": "count success"
-            },
-            "properties": [
-              {
-                "id": "color",
-                "value": {
-                  "fixedColor": "dark-green",
-                  "mode": "fixed"
-                }
-              },
-              {
-                "id": "displayName",
-                "value": "Success"
-              }
-            ]
-          },
-          {
-            "matcher": {
-              "id": "byName",
-              "options": "count punishment"
-            },
-            "properties": [
-              {
-                "id": "color",
-                "value": {
-                  "fixedColor": "dark-red",
-                  "mode": "fixed"
-                }
-              },
-              {
-                "id": "displayName",
-                "value": "Punishment"
-              }
-            ]
-          }
-        ]
-      },
-      "gridPos": {
-        "h": 11,
-        "w": 10,
-        "x": 14,
-        "y": 0
-      },
-      "id": 2,
-      "options": {
-        "colorMode": "value",
-        "graphMode": "area",
-        "justifyMode": "auto",
-        "orientation": "auto",
-        "reduceOptions": {
-          "calcs": [
-            "sum"
-          ],
-          "fields": "",
-          "values": false
-        },
-        "text": {},
-        "textMode": "auto"
-      },
-      "pluginVersion": "8.2.5",
-      "targets": [
-        {
-          "query": "from(bucket: \"data\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"_measurement\"] == \"game_result\")\n  |> filter(fn: (r) => r[\"_field\"] == \"count\")\n  |> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)\n  |> yield(name: \"sum\")\n",
-          "refId": "A"
-        }
-      ],
-      "timeFrom": null,
-      "timeShift": null,
-      "title": "Panel Title",
-      "type": "stat"
-    },
-    {
-      "datasource": null,
-      "fieldConfig": {
-        "defaults": {
-          "color": {
-            "mode": "palette-classic"
-          },
-          "custom": {
-            "axisLabel": "",
-            "axisPlacement": "auto",
-            "barAlignment": 0,
-            "drawStyle": "bars",
-            "fillOpacity": 100,
-            "gradientMode": "hue",
-            "hideFrom": {
-              "legend": false,
-              "tooltip": false,
-              "viz": false
-            },
-            "lineInterpolation": "linear",
-            "lineWidth": 1,
-            "pointSize": 5,
-            "scaleDistribution": {
-              "type": "linear"
-            },
-            "showPoints": "auto",
-            "spanNulls": false,
-            "stacking": {
-              "group": "A",
-              "mode": "percent"
-            },
-            "thresholdsStyle": {
-              "mode": "off"
-            }
-          },
-          "mappings": [],
-          "min": 0,
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              {
-                "color": "green",
-                "value": null
-              },
-              {
-                "color": "red",
-                "value": 80
-              }
-            ]
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byName",
-              "options": "count punishment"
-            },
-            "properties": [
-              {
-                "id": "color",
-                "value": {
-                  "fixedColor": "red",
-                  "mode": "fixed"
-                }
-              }
-            ]
-          },
-          {
-            "matcher": {
-              "id": "byName",
-              "options": "count success"
-            },
-            "properties": [
-              {
-                "id": "color",
-                "value": {
-                  "fixedColor": "green",
-                  "mode": "fixed"
-                }
-              }
-            ]
-          }
-        ]
-      },
-      "gridPos": {
-        "h": 12,
-        "w": 24,
-        "x": 0,
-        "y": 11
-      },
-      "id": 6,
-      "options": {
-        "legend": {
-          "calcs": [],
-          "displayMode": "list",
-          "placement": "bottom"
-        },
-        "tooltip": {
-          "mode": "single"
-        }
-      },
-      "pluginVersion": "8.2.5",
-      "targets": [
-        {
-          "query": "from(bucket: \"data\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"_measurement\"] == \"game_result\")\n  |> filter(fn: (r) => r[\"_field\"] == \"count\")\n  |> filter(fn: (r) => r[\"event\"] == \"success\" or r[\"event\"] == \"punishment\")\n  |> aggregateWindow(every: ${TimeInterval}, fn: sum, createEmpty: false)\n  |> yield(name: \"sum\")",
-          "refId": "A"
-        }
-      ],
-      "timeFrom": null,
-      "timeShift": null,
-      "title": "Success / Punishment Timeline",
-      "type": "timeseries"
-    }
-  ],
-  "refresh": "5s",
-  "schemaVersion": 32,
-  "style": "dark",
-  "tags": [],
-  "templating": {
-    "list": [
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": "5m",
-          "value": "5m"
-        },
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": false,
-        "label": "Time Interval",
-        "multi": false,
-        "name": "TimeInterval",
-        "options": [
-          {
-            "selected": false,
-            "text": "1m",
-            "value": "1m"
-          },
-          {
-            "selected": false,
-            "text": "2m",
-            "value": "2m"
-          },
-          {
-            "selected": false,
-            "text": "3m",
-            "value": "3m"
-          },
-          {
-            "selected": true,
-            "text": "5m",
-            "value": "5m"
-          },
-          {
-            "selected": false,
-            "text": "10m",
-            "value": "10m"
-          },
-          {
-            "selected": false,
-            "text": "15m",
-            "value": "15m"
-          },
-          {
-            "selected": false,
-            "text": "30m",
-            "value": "30m"
-          },
-          {
-            "selected": false,
-            "text": "1h",
-            "value": "1h"
-          },
-          {
-            "selected": false,
-            "text": "2h",
-            "value": "2h"
-          },
-          {
-            "selected": false,
-            "text": "3h",
-            "value": "3h"
-          },
-          {
-            "selected": false,
-            "text": "6h",
-            "value": "6h"
-          },
-          {
-            "selected": false,
-            "text": "12h",
-            "value": "12h"
-          },
-          {
-            "selected": false,
-            "text": "24h",
-            "value": "24h"
-          }
-        ],
-        "query": "1m, 2m, 3m, 5m, 10m, 15m, 30m, 1h, 2h, 3h, 6h, 12h, 24h",
-        "queryValue": "",
-        "skipUrlSync": false,
-        "type": "custom"
-      }
-    ]
-  },
-  "time": {
-    "from": "now-5m",
-    "to": "now"
-  },
-  "timepicker": {},
-  "timezone": "",
-  "title": "Game Dashboard",
-  "uid": "6yux5u34z",
-  "version": 33
-}
\ No newline at end of file
diff --git a/third_party/visualizers/grafana/dashboards/membrane_potential_dashboard.json b/third_party/visualizers/grafana/dashboards/membrane_potential_dashboard.json
deleted file mode 100644
index e927fa443..000000000
--- a/third_party/visualizers/grafana/dashboards/membrane_potential_dashboard.json
+++ /dev/null
@@ -1,336 +0,0 @@
-{
-  "annotations": {
-    "list": [
-      {
-        "builtIn": 1,
-        "datasource": "-- Grafana --",
-        "enable": true,
-        "hide": true,
-        "iconColor": "rgba(0, 211, 255, 1)",
-        "name": "Annotations & Alerts",
-        "target": {
-          "limit": 100,
-          "matchAny": false,
-          "tags": [],
-          "type": "dashboard"
-        },
-        "type": "dashboard"
-      }
-    ]
-  },
-  "editable": true,
-  "fiscalYearStartMonth": 0,
-  "gnetId": null,
-  "graphTooltip": 0,
-  "id": 6,
-  "iteration": 1654107715007,
-  "links": [],
-  "liveNow": false,
-  "panels": [
-    {
-      "datasource": null,
-      "fieldConfig": {
-        "defaults": {
-          "color": {
-            "mode": "palette-classic"
-          },
-          "custom": {
-            "axisLabel": "",
-            "axisPlacement": "auto",
-            "barAlignment": 0,
-            "drawStyle": "line",
-            "fillOpacity": 0,
-            "gradientMode": "none",
-            "hideFrom": {
-              "legend": false,
-              "tooltip": false,
-              "viz": false
-            },
-            "lineInterpolation": "linear",
-            "lineWidth": 1,
-            "pointSize": 5,
-            "scaleDistribution": {
-              "type": "linear"
-            },
-            "showPoints": "auto",
-            "spanNulls": false,
-            "stacking": {
-              "group": "A",
-              "mode": "none"
-            },
-            "thresholdsStyle": {
-              "mode": "off"
-            }
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              {
-                "color": "green",
-                "value": null
-              },
-              {
-                "color": "red",
-                "value": 80
-              }
-            ]
-          }
-        },
-        "overrides": []
-      },
-      "gridPos": {
-        "h": 12,
-        "w": 24,
-        "x": 0,
-        "y": 0
-      },
-      "id": 8,
-      "options": {
-        "legend": {
-          "calcs": [],
-          "displayMode": "list",
-          "placement": "bottom"
-        },
-        "tooltip": {
-          "mode": "single"
-        }
-      },
-      "targets": [
-        {
-          "query": "from(bucket: \"data\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> drop(columns:[\"connectome\"])\n  |> filter(fn: (r) => r[\"_measurement\"] == \"neuron\")\n  |> filter(fn: (r) => r[\"_field\"] == \"membrane_potential\" and r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ )\n  |> filter(fn: (r) => r[\"voxel_x\"] =~ /^${vox_x:regex}$/ and r[\"voxel_y\"] =~ /^${vox_y:regex}$/ and r[\"voxel_z\"] =~ /^${vox_z:regex}$/ )\n  |> drop(columns:[\"voxel_x\", \"voxel_y\", \"voxel_z\"])\n  |> set(key: \"_field\", value: \"Neuron\")",
-          "refId": "A"
-        }
-      ],
-      "title": "Membrane Potentials",
-      "transformations": [],
-      "type": "timeseries"
-    }
-  ],
-  "refresh": "1s",
-  "schemaVersion": 32,
-  "style": "dark",
-  "tags": [],
-  "templating": {
-    "list": [
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"neuron\",\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Source Cortical Area",
-        "multi": true,
-        "name": "src_cortical_area",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"neuron\",\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\",\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Destination Cortical Area",
-        "multi": true,
-        "name": "dst_cortical_area",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\",\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_x\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "X Voxel",
-        "multi": true,
-        "name": "vox_x",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_x\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_y\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Y Voxel",
-        "multi": true,
-        "name": "vox_y",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_y\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_z\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Z Voxel",
-        "multi": true,
-        "name": "vox_z",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_z\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Destination Neuron ID",
-        "multi": true,
-        "name": "dst_neuron_id",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Source Neuron ID",
-        "multi": true,
-        "name": "src_neuron_id",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      }
-    ]
-  },
-  "time": {
-    "from": "now-5m",
-    "to": "now"
-  },
-  "timepicker": {
-    "refresh_intervals": [
-      "1s",
-      "5s",
-      "10s",
-      "30s",
-      "1m",
-      "5m",
-      "15m",
-      "30m",
-      "1h",
-      "1d"
-    ]
-  },
-  "timezone": "",
-  "title": "FEAGI Membrane Potential Monitor",
-  "uid": "d3gBW0r7k",
-  "version": 3
-}
\ No newline at end of file
diff --git a/third_party/visualizers/grafana/dashboards/postsynaptic_potential_dashboard.json b/third_party/visualizers/grafana/dashboards/postsynaptic_potential_dashboard.json
deleted file mode 100644
index 7ea1d1f5c..000000000
--- a/third_party/visualizers/grafana/dashboards/postsynaptic_potential_dashboard.json
+++ /dev/null
@@ -1,387 +0,0 @@
-{
-  "annotations": {
-    "list": [
-      {
-        "builtIn": 1,
-        "datasource": "-- Grafana --",
-        "enable": true,
-        "hide": true,
-        "iconColor": "rgba(0, 211, 255, 1)",
-        "name": "Annotations & Alerts",
-        "target": {
-          "limit": 100,
-          "matchAny": false,
-          "tags": [],
-          "type": "dashboard"
-        },
-        "type": "dashboard"
-      }
-    ]
-  },
-  "editable": true,
-  "fiscalYearStartMonth": 0,
-  "gnetId": null,
-  "graphTooltip": 0,
-  "id": 5,
-  "iteration": 1654203022456,
-  "links": [],
-  "liveNow": false,
-  "panels": [
-    {
-      "datasource": null,
-      "fieldConfig": {
-        "defaults": {
-          "color": {
-            "mode": "palette-classic"
-          },
-          "custom": {
-            "axisLabel": "",
-            "axisPlacement": "auto",
-            "barAlignment": 0,
-            "drawStyle": "line",
-            "fillOpacity": 10,
-            "gradientMode": "none",
-            "hideFrom": {
-              "legend": false,
-              "tooltip": false,
-              "viz": false
-            },
-            "lineInterpolation": "linear",
-            "lineWidth": 1,
-            "pointSize": 4,
-            "scaleDistribution": {
-              "type": "linear"
-            },
-            "showPoints": "always",
-            "spanNulls": false,
-            "stacking": {
-              "group": "A",
-              "mode": "normal"
-            },
-            "thresholdsStyle": {
-              "mode": "off"
-            }
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              {
-                "color": "green",
-                "value": null
-              },
-              {
-                "color": "red",
-                "value": 80
-              }
-            ]
-          },
-          "unit": "none"
-        },
-        "overrides": [
-          {
-            "__systemRef": "hideSeriesFrom",
-            "matcher": {
-              "id": "byNames",
-              "options": {
-                "mode": "exclude",
-                "names": [
-                  "postSynapticCurrent {dst_cortical_area=\"i__sho\", dst_neuron_id=\"2022-06-02_20:43:56_402555_CP8I2I_N\", src_cortical_area=\"a_pain\", src_neuron_id=\"2022-06-02_20:43:56_402799_S9F0FK_N\"}"
-                ],
-                "prefix": "All except:",
-                "readOnly": true
-              }
-            },
-            "properties": [
-              {
-                "id": "custom.hideFrom",
-                "value": {
-                  "legend": false,
-                  "tooltip": false,
-                  "viz": true
-                }
-              }
-            ]
-          }
-        ]
-      },
-      "gridPos": {
-        "h": 8,
-        "w": 24,
-        "x": 0,
-        "y": 0
-      },
-      "id": 6,
-      "links": [],
-      "options": {
-        "legend": {
-          "calcs": [],
-          "displayMode": "table",
-          "placement": "bottom"
-        },
-        "tooltip": {
-          "mode": "single"
-        }
-      },
-      "pluginVersion": "8.2.5",
-      "targets": [
-        {
-          "alias": "Membrane Potentials",
-          "groupBy": [],
-          "measurement": "membranePotential",
-          "orderByTime": "ASC",
-          "policy": "autogen",
-          "query": "from(bucket: \"data\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"_measurement\"] == \"synapse\")\n  |> filter(fn: (r) => r[\"_field\"] == \"postSynapticCurrent\" and (r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/))\n  |> filter(fn: (r) => r[\"src_neuron_id\"] =~ /^${src_neuron_id:regex}$/ and r[\"dst_neuron_id\"] =~ /^${dst_neuron_id:regex}$/)\n  |> drop(columns:[\"connectome\"])\n  |> yield(name: \"mean\")",
-          "refId": "A",
-          "resultFormat": "time_series",
-          "select": [
-            [
-              {
-                "params": [
-                  "membrane_potential"
-                ],
-                "type": "field"
-              }
-            ]
-          ],
-          "tags": []
-        }
-      ],
-      "timeShift": null,
-      "title": "Post Synaptic Currents",
-      "transformations": [
-        {
-          "id": "groupBy",
-          "options": {}
-        }
-      ],
-      "type": "timeseries"
-    }
-  ],
-  "refresh": false,
-  "schemaVersion": 32,
-  "style": "dark",
-  "tags": [],
-  "templating": {
-    "list": [
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"neuron\",\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Source Cortical Area",
-        "multi": true,
-        "name": "src_cortical_area",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"neuron\",\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\",\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Destination Cortical Area",
-        "multi": true,
-        "name": "dst_cortical_area",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_cortical_area\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\",\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_x\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "X Voxel",
-        "multi": true,
-        "name": "vox_x",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_x\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_y\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Y Voxel",
-        "multi": true,
-        "name": "vox_y",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_y\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_z\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Z Voxel",
-        "multi": true,
-        "name": "vox_z",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"voxel_z\",\n    predicate: (r) =>  r[\"src_cortical_area\"] =~ /^${src_cortical_area:regex}$/ or r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 2,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Destination Neuron ID",
-        "multi": true,
-        "name": "dst_neuron_id",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"dst_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      },
-      {
-        "allValue": null,
-        "current": {
-          "selected": true,
-          "text": [
-            "All"
-          ],
-          "value": [
-            "$__all"
-          ]
-        },
-        "datasource": null,
-        "definition": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "description": null,
-        "error": null,
-        "hide": 0,
-        "includeAll": true,
-        "label": "Source Neuron ID",
-        "multi": true,
-        "name": "src_neuron_id",
-        "options": [],
-        "query": "import \"influxdata/influxdb/v1\"\nv1.tagValues(\n    bucket: v.bucket,\n    tag: \"src_neuron_id\",\n    predicate: (r) => r[\"_measurement\"] == \"synapse\" and r[\"dst_cortical_area\"] =~ /^${dst_cortical_area:regex}$/,\n    start: -1d\n)",
-        "refresh": 1,
-        "regex": "",
-        "skipUrlSync": false,
-        "sort": 0,
-        "type": "query"
-      }
-    ]
-  },
-  "time": {
-    "from": "2022-06-02T20:50:53.195Z",
-    "to": "2022-06-02T20:50:53.201Z"
-  },
-  "timepicker": {
-    "refresh_intervals": [
-      "1s",
-      "5s",
-      "10s",
-      "30s",
-      "1m",
-      "5m",
-      "15m",
-      "30m",
-      "1h",
-      "1d"
-    ]
-  },
-  "timezone": "",
-  "title": "FEAGI Postsynaptic Potential Monitor",
-  "uid": "ATgzXo9nz",
-  "version": 6
-}
\ No newline at end of file
diff --git a/third_party/visualizers/grafana/grafana.ini b/third_party/visualizers/grafana/grafana.ini
deleted file mode 100644
index 9bbd58fc0..000000000
--- a/third_party/visualizers/grafana/grafana.ini
+++ /dev/null
@@ -1,20 +0,0 @@
-[paths]
-provisioning = /etc/grafana/provisioning
-
-[auth]
-disable_login_form = true
-
-[auth.anonymous]
-enabled = true
-
-[server]
-enable_gzip = true
-
-[security]
-allow_embedding = true
-
-[users]
-default_theme = dark
-
-[dashboards]
-min_refresh_interval = 1s
\ No newline at end of file
diff --git a/third_party/visualizers/grafana/provisioning/dashboards/dashboard.yml b/third_party/visualizers/grafana/provisioning/dashboards/dashboard.yml
deleted file mode 100644
index 0922449e3..000000000
--- a/third_party/visualizers/grafana/provisioning/dashboards/dashboard.yml
+++ /dev/null
@@ -1,14 +0,0 @@
-apiVersion: 1
-
-providers:
-- name: dashboards
-  org_id: 1
-  folder: ''
-  type: 'file'
-  disableDeletion: false
-  editable: true
-  updateIntervalSeconds: 1
-  allowUiUpdates: true
-  options:
-    path: /etc/grafana/dashboards
-    foldersFromFilesStructure: true
diff --git a/third_party/visualizers/grafana/provisioning/datasources/datasource.yml b/third_party/visualizers/grafana/provisioning/datasources/datasource.yml
deleted file mode 100644
index a5bf292b9..000000000
--- a/third_party/visualizers/grafana/provisioning/datasources/datasource.yml
+++ /dev/null
@@ -1,19 +0,0 @@
-apiVersion: 1
-
-datasources:
-  - name: InfluxDB_v2_Flux
-    type: influxdb
-    access: proxy
-    orgId: 1
-    url: $INFLUXDB_URL
-    user: $INFLUXDB_USER
-    isDefault: true
-    editable: true
-    secureJsonData:
-      token: $INFLUXDB_TOKEN
-      password: $INFLUXDB_PASSWORD
-    jsonData:
-      version: Flux
-      organization: $INFLUXDB_ORG
-      defaultBucket: $INFLUXDB_BUCKET
-      tlsSkipVerify: true
\ No newline at end of file


Test patch:
diff --git a/third_party/visualizers/grafana/dashboards/archive/test_dashboard.json b/third_party/visualizers/grafana/dashboards/archive/test_dashboard.json
deleted file mode 100644
index 051179831..000000000
--- a/third_party/visualizers/grafana/dashboards/archive/test_dashboard.json
+++ /dev/null
@@ -1,151 +0,0 @@
-{
-  "annotations": {
-    "list": [
-      {
-        "builtIn": 1,
-        "datasource": "-- Grafana --",
-        "enable": true,
-        "hide": true,
-        "iconColor": "rgba(0, 211, 255, 1)",
-        "name": "Annotations & Alerts",
-        "target": {
-          "limit": 100,
-          "matchAny": false,
-          "tags": [],
-          "type": "dashboard"
-        },
-        "type": "dashboard"
-      }
-    ]
-  },
-  "editable": true,
-  "fiscalYearStartMonth": 0,
-  "gnetId": null,
-  "graphTooltip": 0,
-  "id": 1,
-  "links": [],
-  "liveNow": false,
-  "panels": [
-    {
-      "datasource": null,
-      "fieldConfig": {
-        "defaults": {
-          "color": {
-            "mode": "palette-classic"
-          },
-          "custom": {
-            "axisLabel": "",
-            "axisPlacement": "auto",
-            "barAlignment": 0,
-            "drawStyle": "line",
-            "fillOpacity": 10,
-            "gradientMode": "none",
-            "hideFrom": {
-              "legend": false,
-              "tooltip": false,
-              "viz": false
-            },
-            "lineInterpolation": "linear",
-            "lineWidth": 1,
-            "pointSize": 4,
-            "scaleDistribution": {
-              "type": "linear"
-            },
-            "showPoints": "always",
-            "spanNulls": false,
-            "stacking": {
-              "group": "A",
-              "mode": "normal"
-            },
-            "thresholdsStyle": {
-              "mode": "off"
-            }
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              {
-                "color": "green",
-                "value": null
-              },
-              {
-                "color": "red",
-                "value": 80
-              }
-            ]
-          },
-          "unit": "mvolt"
-        },
-        "overrides": []
-      },
-      "gridPos": {
-        "h": 8,
-        "w": 24,
-        "x": 0,
-        "y": 0
-      },
-      "id": 6,
-      "links": [],
-      "options": {
-        "legend": {
-          "calcs": [
-            "lastNotNull",
-            "delta",
-            "min",
-            "max"
-          ],
-          "displayMode": "table",
-          "placement": "bottom"
-        },
-        "tooltip": {
-          "mode": "single"
-        }
-      },
-      "pluginVersion": "8.2.5",
-      "targets": [
-        {
-          "alias": "Membrane Potentials",
-          "groupBy": [],
-          "measurement": "membranePotential",
-          "orderByTime": "ASC",
-          "policy": "autogen",
-          "query": "from(bucket: \"data\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"_measurement\"] == \"membranePotential\" and r[\"_field\"] == \"membrane_potential\" and r[\"_value\"] > 0)\n  |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n  |> drop(columns: [\"_field\", \"_start\", \"_stop\", \"connectome\", \"_measurement\"])\n  |> yield(name: \"mean\")",
-          "refId": "A",
-          "resultFormat": "time_series",
-          "select": [
-            [
-              {
-                "params": [
-                  "membrane_potential"
-                ],
-                "type": "field"
-              }
-            ]
-          ],
-          "tags": []
-        }
-      ],
-      "timeFrom": "5m",
-      "timeShift": null,
-      "title": "Membrane Potentials",
-      "type": "timeseries"
-    }
-  ],
-  "refresh": "5s",
-  "schemaVersion": 32,
-  "style": "dark",
-  "tags": [],
-  "templating": {
-    "list": []
-  },
-  "time": {
-    "from": "now-5m",
-    "to": "now"
-  },
-  "timepicker": {},
-  "timezone": "",
-  "title": "test_dashboard",
-  "uid": "C1ndOctnk",
-  "version": 24
-}
\ No newline at end of file