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27 Commits

Author SHA1 Message Date
znetsixe
7ded2a4415 docs: consolidate scattered documentation into wiki
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Move architecture/, docs/ content into wiki/ for a single source of truth:
- architecture/deployment-blueprint.md → wiki/architecture/
- architecture/stack-architecture-review.md → wiki/architecture/
- architecture/wiki-platform-overview.md → wiki/architecture/
- docs/ARCHITECTURE.md → wiki/architecture/node-architecture.md
- docs/API_REFERENCE.md → wiki/concepts/generalfunctions-api.md
- docs/ISSUES.md → wiki/findings/open-issues-2026-03.md

Remove stale files:
- FUNCTIONAL_ISSUES_BACKLOG.md (was just a redirect pointer)
- temp/ (stale cloud env examples)

Fix README.md gitea URL (centraal.wbd-rd.nl → wbd-rd.nl).
Update wiki index with all consolidated pages.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-07 17:08:35 +02:00
znetsixe
6d19038784 docs: initialize project wiki from production hardening session
12 pages covering architecture, findings, and metrics from the
rotatingMachine + machineGroupControl hardening work:

- Overview: node inventory, what works/doesn't, current scale
- Architecture: 3D pump curves, group optimization algorithm
- Findings: BEP-Gravitation proof (0.1% of optimum), NCog behavior,
  curve non-convexity, pump switching stability
- Metrics: test counts, power comparison table, performance numbers
- Knowledge graph: structured YAML with all data points and provenance
- Session log: 2026-04-07 production hardening
- Tools: query.py, search.sh, lint.sh

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-07 16:36:08 +02:00
znetsixe
fd9d1679cb fix: update submodule refs — production hardening for rotatingMachine and machineGroupControl
rotatingMachine:
- Safety fixes: async input handler, emergencyStop case fix, null guards,
  listener cleanup, tick loop race condition, editor timeout
- Prediction: remove efficiency rounding (was breaking NCog/BEP), fix
  variant reads, curve anomaly detection
- 43 new tests (76 total)

machineGroupControl:
- Critical: fix flowmovement unit mismatch (m³/s sent where m³/h expected,
  pumps never moved from minimum)
- Fix absolute scaling comparison bug, empty Qd block, empty-machines guards
- Add marginal-cost refinement loop: reduces gap to brute-force optimum
  from 2.1% to <0.1%
- 2 new test files with NCog distribution and power comparison tests

generalFunctions:
- Fix 3 anomalous power values in hidrostal-H05K-S03R curve data

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-07 13:41:22 +02:00
znetsixe
4336002b77 fix: update submodule refs with bug fixes for validateSchema recursion and nodeClass syntax
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- generalFunctions: fix infinite recursion in validateSchema when version string is in schema
- rotatingMachine: fix missing closing brace in emergencystop case block

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-01 08:46:34 +02:00
znetsixe
f57343f5e3 Update submodule refs after merge with main
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-31 18:29:31 +02:00
znetsixe
65ceb696ab Merge remote-tracking branch 'origin/main' into dev-rene
# Conflicts:
#	.dockerignore
#	.gitmodules
#	Dockerfile
#	docker-compose.yml
#	nodes/generalFunctions
#	nodes/machineGroupControl
#	nodes/measurement
#	nodes/monster
#	nodes/pumpingStation
#	nodes/reactor
#	nodes/rotatingMachine
#	nodes/settler
#	package-lock.json
#	package.json
2026-03-31 18:29:03 +02:00
Rene De Ren
35221fc5dd Sync pushed submodule refs
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2026-03-12 16:47:08 +01:00
Rene De Ren
93a5b6a90e Expose output format controls across node editors 2026-03-12 16:39:54 +01:00
Rene De Ren
1d98670706 Validate diffuser through the full stack 2026-03-12 16:32:25 +01:00
Rene De Ren
a432eea7fe Track config-driven output formatting support 2026-03-12 16:13:47 +01:00
Rene De Ren
9cb3657bae Track dashboardapi buildConfig adoption 2026-03-12 16:11:10 +01:00
Rene De Ren
bd9432eebb Validate dashboardapi round-trip through Node-RED 2026-03-12 11:40:37 +01:00
Rene De Ren
c9bacb64c8 Add monster coverage and stack validation 2026-03-12 10:32:09 +01:00
Rene De Ren
e580c93c84 docs: add open issues from codebase scan
Tracked issues for diffuser restoration, ML module relocation,
monster architecture modernization, test code cleanup, and dashboardAPI improvements.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 09:34:51 +01:00
Rene De Ren
b02306c42f fix: codebase scan — bug fixes, security, logging consistency, monster modernization
- generalFunctions: add missing migrateConfig(), config versioning, formatters module
- rotatingMachine: fix eneableLog typo, correct child registration ID
- machineGroupControl: console.log → structured logger
- settler/reactor: console.log → logger, throw on unknown reactor type
- monster: modernize imports to require('generalFunctions'), remove broken
  TensorFlow code, add childRegistrationUtils, consolidate input handlers
- dashboardAPI: remove hardcoded Grafana bearer token, use logger

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 09:33:52 +01:00
Rene De Ren
2c76430394 feat: working E2E container stack with Node-RED + InfluxDB + Grafana
- Fix Dockerfile.e2e to install EVOLV properly in Node-RED /data/
- Add measurement node E2E test flow with scaling (4-20mA to 0-5m)
- Add Grafana health check to run-e2e.sh
- Guard pumpingStation demo IIFE with require.main check
- All 10 EVOLV nodes load successfully in containerized Node-RED

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 16:38:14 +01:00
Rene De Ren
49ebd833db feat: add node tests, integration tests, API reference, fix pumpingStation bug
- Add 127 unit tests for measurement, pumpingStation, reactor, settler specificClass
- Add 32 integration tests for parent-child registration flows
- Fix pumpingStation tick() calling non-existent _calcTimeRemaining (was _calcRemainingTime)
- Add API reference documentation for all generalFunctions modules

Total tests: 536 (389 Jest + 23 node:test + 124 legacy), all passing

Closes #17, #19, #20

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 16:32:04 +01:00
Rene De Ren
905a061590 feat: architecture refactor — validators, positions, menuUtils, ESLint, tests, CI
Major improvements across the codebase:

- Extract validationUtils.js (548→217 lines) into strategy pattern validators
- Extract menuUtils.js (543→35 lines) into 6 focused menu modules
- Adopt POSITIONS constants across 23 files (183 replacements)
- Eliminate all 71 ESLint warnings (0 errors, 0 warnings)
- Add 158 unit tests for ConfigManager, MeasurementContainer, ValidationUtils
- Add architecture documentation with Mermaid diagrams
- Add CI pipeline (Docker, ESLint, Jest, Makefile)
- Add E2E infrastructure (docker-compose.e2e.yml)

Test results: 377 total (230 Jest + 23 node:test + 124 legacy), all passing
Lint: 0 errors, 0 warnings

Closes #2, #3, #9, #13, #14, #18

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 15:37:20 +01:00
p.vanderwilt
80de324b32 Update reactor submodule to latest commit 2025-11-28 11:53:57 +01:00
p.vanderwilt
c8d5ea0fce Update submodule commits for reactor and rotatingMachine 2025-11-21 14:49:50 +01:00
p.vanderwilt
b871b23c24 Remove TensorFlow dependencies from package.json 2025-11-21 11:56:59 +01:00
p.vanderwilt
91b681a74d Add additional sensors 2025-11-12 10:48:38 +01:00
p.vanderwilt
76d2008e52 Update submodule commits and package-lock.json dependencies 2025-11-12 10:30:51 +01:00
p.vanderwilt
3c304f14e5 Update submodules for recirculation implementation 2025-11-06 15:03:43 +01:00
p.vanderwilt
24c443840b Add settler to package.json 2025-10-31 12:14:58 +01:00
p.vanderwilt
c4c8629c01 add settler submodule 2025-10-31 12:11:50 +01:00
609c72cedc Merge pull request 'dev-Rene' (#5) from dev-Rene into main
Reviewed-on: https://gitea.centraal.wbd-rd.nl/RnD/EVOLV/pulls/5
2025-10-24 19:25:04 +00:00
47 changed files with 7427 additions and 3170 deletions

41
.gitea/workflows/ci.yml Normal file
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@@ -0,0 +1,41 @@
name: CI
on:
push:
branches: [main, develop, dev-Rene]
pull_request:
branches: [main]
jobs:
lint-and-test:
runs-on: ubuntu-latest
container:
image: node:20-slim
steps:
- name: Install git
run: apt-get update -qq && apt-get install -y -qq git
- name: Checkout with submodules
uses: actions/checkout@v4
with:
submodules: recursive
- name: Rewrite generalFunctions to local path
run: |
sed -i 's|"generalFunctions": "git+https://[^"]*"|"generalFunctions": "file:./nodes/generalFunctions"|' package.json
- name: Install dependencies
run: npm install --ignore-scripts
- name: Lint
run: npm run lint
- name: Test (Jest)
run: npm test
- name: Test (node:test)
run: npm run test:node
- name: Test (legacy)
run: npm run test:legacy

32
CLAUDE.md Normal file
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@@ -0,0 +1,32 @@
# EVOLV - Claude Code Project Guide
## What This Is
Node-RED custom nodes package for wastewater treatment plant automation. Developed by Waterschap Brabantse Delta R&D team. Follows ISA-88 (S88) batch control standard.
## Architecture
Each node follows a three-layer pattern:
1. **Node-RED wrapper** (`<name>.js`) - registers the node type, sets up HTTP endpoints
2. **Node adapter** (`src/nodeClass.js`) - bridges Node-RED API with domain logic, handles config loading, tick loops, events
3. **Domain logic** (`src/specificClass.js`) - pure business logic, no Node-RED dependencies
## Key Shared Library: `nodes/generalFunctions/`
- `logger` - structured logging (use this, NOT console.log)
- `MeasurementContainer` - chainable measurement storage (type/variant/position)
- `configManager` - loads JSON configs from `src/configs/`
- `MenuManager` - dynamic UI dropdowns
- `outputUtils` - formats messages for InfluxDB and process outputs
- `childRegistrationUtils` - parent-child node relationships
- `coolprop` - thermodynamic property calculations
## Conventions
- Nodes register under category `'EVOLV'` in Node-RED
- S88 color scheme: Area=#0f52a5, ProcessCell=#0c99d9, Unit=#50a8d9, Equipment=#86bbdd, ControlModule=#a9daee
- Config JSON files in `generalFunctions/src/configs/` define defaults, types, enums per node
- Tick loop runs at 1000ms intervals for time-based updates
- Three outputs per node: [process, dbase, parent]
## Development Notes
- No build step required - pure Node.js
- Install: `npm install` in root
- Submodule URLs were rewritten from `gitea.centraal.wbd-rd.nl` to `gitea.wbd-rd.nl` for external access
- Dependencies: mathjs, generalFunctions (git submodule)

29
Dockerfile.e2e Normal file
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@@ -0,0 +1,29 @@
FROM nodered/node-red:latest
# Switch to root for setup
USER root
# Copy EVOLV directly into where Node-RED looks for custom nodes
COPY package.json /data/node_modules/EVOLV/package.json
COPY nodes/ /data/node_modules/EVOLV/nodes/
# Rewrite generalFunctions dependency to local file path (no-op if already local)
RUN sed -i 's|"generalFunctions": "git+https://[^"]*"|"generalFunctions": "file:./nodes/generalFunctions"|' \
/data/node_modules/EVOLV/package.json
# Fix ownership for node-red user
RUN chown -R node-red:root /data
USER node-red
# Install EVOLV's own dependencies inside the EVOLV package directory
WORKDIR /data/node_modules/EVOLV
RUN npm install --ignore-scripts --production
# Copy test flows into Node-RED data directory
COPY --chown=node-red:root test/e2e/flows.json /data/flows.json
# Reset workdir to Node-RED default
WORKDIR /usr/src/node-red
EXPOSE 1880

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@@ -1,6 +0,0 @@
# Functional Issues Backlog (Deprecated Location)
This backlog has moved to:
- `.agents/improvements/IMPROVEMENTS_BACKLOG.md`
Use `.agents/improvements/TOP10_PRODUCTION_PRIORITIES_YYYY-MM-DD.md` for ranked review lists.

50
Makefile Normal file
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@@ -0,0 +1,50 @@
.PHONY: install lint lint-fix test test-jest test-node test-legacy ci docker-ci docker-test docker-lint e2e e2e-up e2e-down
install:
@sed -i 's|"generalFunctions": "git+https://[^"]*"|"generalFunctions": "file:./nodes/generalFunctions"|' package.json
npm install
@git checkout -- package.json 2>/dev/null || true
lint:
npx eslint nodes/
lint-fix:
npx eslint nodes/ --fix
test-jest:
npx jest --forceExit
test-node:
node --test \
nodes/valve/test/basic/*.test.js \
nodes/valve/test/edge/*.test.js \
nodes/valve/test/integration/*.test.js \
nodes/valveGroupControl/test/basic/*.test.js \
nodes/valveGroupControl/test/edge/*.test.js \
nodes/valveGroupControl/test/integration/*.test.js
test-legacy:
node nodes/machineGroupControl/src/groupcontrol.test.js
node nodes/generalFunctions/src/nrmse/errorMetric.test.js
test: test-jest test-node test-legacy
ci: lint test
docker-ci:
docker compose run --rm ci
docker-test:
docker compose run --rm test
docker-lint:
docker compose run --rm lint
e2e:
bash test/e2e/run-e2e.sh
e2e-up:
docker compose -f docker-compose.e2e.yml up -d --build
e2e-down:
docker compose -f docker-compose.e2e.yml down

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@@ -40,7 +40,7 @@ Alle bouwblokken van het R&D-team zijn gebundeld in de **EVOLV-repository**, waa
### Eerste keer klonen:
```bash
git clone --recurse-submodules https://gitea.centraal.wbd-rd.nl/RnD/EVOLV.git
git clone --recurse-submodules https://gitea.wbd-rd.nl/RnD/EVOLV.git
cd EVOLV
```
@@ -77,7 +77,7 @@ git commit -m "Update submodule <bouwblok-naam>"
1. Clone de gewenste repository:
```bash
git clone https://gitea.centraal.wbd-rd.nl/<repo-naam>.git
git clone https://gitea.wbd-rd.nl/<repo-naam>.git
```
2. Kopieer het bouwblok naar je Node-RED map:

49
docker-compose.e2e.yml Normal file
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@@ -0,0 +1,49 @@
services:
influxdb:
image: influxdb:2.7
environment:
- DOCKER_INFLUXDB_INIT_MODE=setup
- DOCKER_INFLUXDB_INIT_USERNAME=admin
- DOCKER_INFLUXDB_INIT_PASSWORD=adminpassword
- DOCKER_INFLUXDB_INIT_ORG=evolv
- DOCKER_INFLUXDB_INIT_BUCKET=evolv
- DOCKER_INFLUXDB_INIT_ADMIN_TOKEN=evolv-e2e-token
ports:
- "8086:8086"
healthcheck:
test: ["CMD", "influx", "ping"]
interval: 5s
timeout: 5s
retries: 5
nodered:
build:
context: .
dockerfile: Dockerfile.e2e
ports:
- "1880:1880"
depends_on:
influxdb:
condition: service_healthy
environment:
- INFLUXDB_URL=http://influxdb:8086
- INFLUXDB_TOKEN=evolv-e2e-token
- INFLUXDB_ORG=evolv
- INFLUXDB_BUCKET=evolv
volumes:
- ./test/e2e/flows.json:/data/flows.json
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:1880/"]
interval: 5s
timeout: 5s
retries: 10
grafana:
image: grafana/grafana:latest
ports:
- "3000:3000"
environment:
- GF_SECURITY_ADMIN_PASSWORD=admin
- GF_AUTH_ANONYMOUS_ENABLED=true
depends_on:
- influxdb

29
eslint.config.js Normal file
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@@ -0,0 +1,29 @@
const js = require('@eslint/js');
const globals = require('globals');
module.exports = [
js.configs.recommended,
{
languageOptions: {
ecmaVersion: 2022,
sourceType: 'commonjs',
globals: {
...globals.node,
...globals.jest,
RED: 'readonly',
},
},
rules: {
'no-unused-vars': ['warn', { argsIgnorePattern: '^_', varsIgnorePattern: '^_' }],
'no-console': 'off',
'no-prototype-builtins': 'warn',
'no-constant-condition': 'warn',
},
},
{
ignores: [
'node_modules/**',
'nodes/generalFunctions/src/coolprop-node/coolprop/**',
],
},
];

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jest.config.js Normal file
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@@ -0,0 +1,19 @@
module.exports = {
testEnvironment: 'node',
verbose: true,
testMatch: [
'<rootDir>/nodes/generalFunctions/src/coolprop-node/test/**/*.test.js',
'<rootDir>/nodes/generalFunctions/test/**/*.test.js',
'<rootDir>/nodes/dashboardAPI/test/**/*.test.js',
'<rootDir>/nodes/diffuser/test/specificClass.test.js',
'<rootDir>/nodes/monster/test/**/*.test.js',
'<rootDir>/nodes/pumpingStation/test/**/*.test.js',
'<rootDir>/nodes/reactor/test/**/*.test.js',
'<rootDir>/nodes/settler/test/**/*.test.js',
'<rootDir>/nodes/measurement/test/**/*.test.js',
],
testPathIgnorePatterns: [
'/node_modules/',
],
testTimeout: 15000,
};

5887
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@@ -16,15 +16,17 @@
"machineGroupControl": "nodes/machineGroupControl/mgc.js",
"measurement": "nodes/measurement/measurement.js",
"monster": "nodes/monster/monster.js",
"pumpingstation": "nodes/pumpingStation/pumpingStation.js",
"reactor": "nodes/reactor/reactor.js",
"rotatingMachine": "nodes/rotatingMachine/rotatingMachine.js",
"settler": "nodes/settler/settler.js",
"valve": "nodes/valve/valve.js",
"valveGroupControl": "nodes/valveGroupControl/vgc.js",
"pumpingstation": "nodes/pumpingStation/pumpingStation.js",
"settler": "nodes/settler/settler.js"
"valveGroupControl": "nodes/valveGroupControl/vgc.js"
}
},
"scripts": {
"preinstall": "node scripts/patch-deps.js",
"postinstall": "git checkout -- package.json 2>/dev/null || true",
"docker:build": "docker compose build",
"docker:up": "docker compose up -d",
"docker:down": "docker compose down",
@@ -35,10 +37,18 @@
"docker:test:integration": "docker compose exec nodered sh /data/evolv/scripts/test-all.sh integration",
"docker:test:edge": "docker compose exec nodered sh /data/evolv/scripts/test-all.sh edge",
"docker:test:gf": "docker compose exec nodered sh /data/evolv/scripts/test-all.sh gf",
"test:e2e:reactor": "node scripts/e2e-reactor-roundtrip.js",
"docker:validate": "docker compose exec nodered sh /data/evolv/scripts/validate-nodes.sh",
"docker:deploy": "docker compose exec nodered sh /data/evolv/scripts/deploy-flow.sh",
"docker:reset": "docker compose down -v && docker compose up -d --build"
"docker:reset": "docker compose down -v && docker compose up -d --build",
"test": "jest --forceExit",
"test:node": "node --test nodes/valve/test/basic/*.test.js nodes/valve/test/edge/*.test.js nodes/valve/test/integration/*.test.js nodes/valveGroupControl/test/basic/*.test.js nodes/valveGroupControl/test/edge/*.test.js nodes/valveGroupControl/test/integration/*.test.js",
"test:legacy": "node nodes/machineGroupControl/src/groupcontrol.test.js && node nodes/generalFunctions/src/nrmse/errorMetric.test.js",
"test:all": "npm test && npm run test:node && npm run test:legacy",
"test:e2e:reactor": "node scripts/e2e-reactor-roundtrip.js",
"lint": "eslint nodes/",
"lint:fix": "eslint nodes/ --fix",
"ci": "npm run lint && npm run test:all",
"test:e2e": "bash test/e2e/run-e2e.sh"
},
"author": "Rene De Ren, Pim Moerman, Janneke Tack, Sjoerd Fijnje, Dieke Gabriels, pieter van der wilt",
"license": "SEE LICENSE",
@@ -48,5 +58,11 @@
"@tensorflow/tfjs-node": "^4.22.0",
"generalFunctions": "file:nodes/generalFunctions",
"mathjs": "^13.2.0"
},
"devDependencies": {
"@eslint/js": "^8.57.0",
"eslint": "^8.57.0",
"globals": "^15.0.0",
"jest": "^29.7.0"
}
}

20
scripts/patch-deps.js Normal file
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@@ -0,0 +1,20 @@
/**
* Preinstall script: rewrites the generalFunctions dependency
* from git+https to a local file path when the submodule exists.
* This avoids needing Gitea credentials during npm install.
*/
const fs = require('fs');
const path = require('path');
const pkgPath = path.join(__dirname, '..', 'package.json');
const localGF = path.join(__dirname, '..', 'nodes', 'generalFunctions');
if (fs.existsSync(localGF) && fs.existsSync(path.join(localGF, 'index.js'))) {
const pkg = JSON.parse(fs.readFileSync(pkgPath, 'utf8'));
if (pkg.dependencies && pkg.dependencies.generalFunctions &&
pkg.dependencies.generalFunctions.startsWith('git+')) {
pkg.dependencies.generalFunctions = 'file:./nodes/generalFunctions';
fs.writeFileSync(pkgPath, JSON.stringify(pkg, null, 2) + '\n');
console.log('[patch-deps] Rewrote generalFunctions to local path');
}
}

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@@ -1,24 +0,0 @@
# Copy this file to `.env` on the target server and populate real values there.
# Keep the real `.env` out of version control.
INFLUXDB_ADMIN_USER=replace-me
INFLUXDB_ADMIN_PASSWORD=replace-me
INFLUXDB_BUCKET=lvl0
INFLUXDB_ORG=wbd
GF_SECURITY_ADMIN_USER=replace-me
GF_SECURITY_ADMIN_PASSWORD=replace-me
NPM_DB_MYSQL_HOST=db
NPM_DB_MYSQL_PORT=3306
NPM_DB_MYSQL_USER=npm
NPM_DB_MYSQL_PASSWORD=replace-me
NPM_DB_MYSQL_NAME=npm
MYSQL_ROOT_PASSWORD=replace-me
MYSQL_DATABASE=npm
MYSQL_USER=npm
MYSQL_PASSWORD=replace-me
RABBITMQ_DEFAULT_USER=replace-me
RABBITMQ_DEFAULT_PASS=replace-me

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@@ -1,117 +0,0 @@
services:
node-red:
image: nodered/node-red:latest
container_name: node-red
restart: always
ports:
- "1880:1880"
volumes:
- node_red_data:/data
influxdb:
image: influxdb:2.7
container_name: influxdb
restart: always
ports:
- "8086:8086"
environment:
- INFLUXDB_ADMIN_USER=${INFLUXDB_ADMIN_USER}
- INFLUXDB_ADMIN_PASSWORD=${INFLUXDB_ADMIN_PASSWORD}
- INFLUXDB_BUCKET=${INFLUXDB_BUCKET}
- INFLUXDB_ORG=${INFLUXDB_ORG}
volumes:
- influxdb_data:/var/lib/influxdb2
grafana:
image: grafana/grafana:latest
container_name: grafana
restart: always
ports:
- "3000:3000"
environment:
- GF_SECURITY_ADMIN_USER=${GF_SECURITY_ADMIN_USER}
- GF_SECURITY_ADMIN_PASSWORD=${GF_SECURITY_ADMIN_PASSWORD}
volumes:
- grafana_data:/var/lib/grafana
depends_on:
- influxdb
jenkins:
image: jenkins/jenkins:lts
container_name: jenkins
restart: always
ports:
- "8080:8080" # Web
- "50000:50000" # Agents
volumes:
- jenkins_home:/var/jenkins_home
gitea:
image: gitea/gitea:latest
container_name: gitea
restart: always
environment:
- USER_UID=1000
- USER_GID=1000
ports:
- "3001:3000" # Webinterface (anders dan Grafana)
- "222:22" # SSH voor Git
volumes:
- gitea_data:/data
proxymanager:
image: jc21/nginx-proxy-manager:latest
container_name: proxymanager
restart: always
ports:
- "80:80" # HTTP
- "443:443" # HTTPS
- "81:81" # Admin UI
environment:
DB_MYSQL_HOST: ${NPM_DB_MYSQL_HOST:-db}
DB_MYSQL_PORT: ${NPM_DB_MYSQL_PORT:-3306}
DB_MYSQL_USER: ${NPM_DB_MYSQL_USER}
DB_MYSQL_PASSWORD: ${NPM_DB_MYSQL_PASSWORD}
DB_MYSQL_NAME: ${NPM_DB_MYSQL_NAME}
volumes:
- proxymanager_data:/data
- proxymanager_letsencrypt:/etc/letsencrypt
- /var/run/docker.sock:/var/run/docker.sock:ro
depends_on:
- db
db:
image: jc21/mariadb-aria:latest
container_name: proxymanager_db
restart: always
environment:
MYSQL_ROOT_PASSWORD: ${MYSQL_ROOT_PASSWORD}
MYSQL_DATABASE: ${MYSQL_DATABASE}
MYSQL_USER: ${MYSQL_USER}
MYSQL_PASSWORD: ${MYSQL_PASSWORD}
volumes:
- proxymanager_db_data:/var/lib/mysql
rabbitmq:
image: rabbitmq:3-management
container_name: rabbitmq
restart: always
ports:
- "5672:5672" # AMQP protocol voor apps
- "15672:15672" # Management webinterface
environment:
- RABBITMQ_DEFAULT_USER=${RABBITMQ_DEFAULT_USER}
- RABBITMQ_DEFAULT_PASS=${RABBITMQ_DEFAULT_PASS}
volumes:
- rabbitmq_data:/var/lib/rabbitmq
volumes:
rabbitmq_data:
node_red_data:
influxdb_data:
grafana_data:
jenkins_home:
gitea_data:
proxymanager_data:
proxymanager_letsencrypt:
proxymanager_db_data:

440
test/e2e/flows.json Normal file
View File

@@ -0,0 +1,440 @@
[
{
"id": "e2e-flow-tab",
"type": "tab",
"label": "E2E Test Flow",
"disabled": false,
"info": "End-to-end test flow that verifies EVOLV nodes load, accept input, and produce output."
},
{
"id": "inject-trigger",
"type": "inject",
"z": "e2e-flow-tab",
"name": "Trigger once on start",
"props": [
{ "p": "payload" },
{ "p": "topic", "vt": "str" }
],
"repeat": "",
"crontab": "",
"once": true,
"onceDelay": "3",
"topic": "e2e-test",
"payload": "",
"payloadType": "date",
"x": 160,
"y": 80,
"wires": [["build-measurement-msg"]]
},
{
"id": "build-measurement-msg",
"type": "function",
"z": "e2e-flow-tab",
"name": "Build measurement input",
"func": "// Simulate an analog sensor reading sent to the measurement node.\n// The measurement node expects a numeric payload on topic 'analogInput'.\nmsg.payload = 4.2 + Math.random() * 15.8; // 4-20 mA range\nmsg.topic = 'analogInput';\nnode.status({ fill: 'green', shape: 'dot', text: 'sent ' + msg.payload.toFixed(2) });\nreturn msg;",
"outputs": 1,
"timeout": "",
"noerr": 0,
"initialize": "",
"finalize": "",
"libs": [],
"x": 380,
"y": 80,
"wires": [["measurement-e2e-node"]]
},
{
"id": "measurement-e2e-node",
"type": "measurement",
"z": "e2e-flow-tab",
"name": "E2E-Level-Sensor",
"scaling": true,
"i_min": 4,
"i_max": 20,
"i_offset": 0,
"o_min": 0,
"o_max": 5,
"simulator": false,
"smooth_method": "",
"count": "10",
"uuid": "",
"supplier": "e2e-test",
"category": "level",
"assetType": "sensor",
"model": "e2e-virtual",
"unit": "m",
"enableLog": false,
"logLevel": "error",
"positionVsParent": "upstream",
"positionIcon": "",
"hasDistance": false,
"distance": 0,
"distanceUnit": "m",
"distanceDescription": "",
"x": 600,
"y": 80,
"wires": [
["debug-process"],
["debug-dbase"],
["debug-parent"]
]
},
{
"id": "debug-process",
"type": "debug",
"z": "e2e-flow-tab",
"name": "Process Output",
"active": true,
"tosidebar": true,
"console": true,
"tostatus": true,
"complete": "true",
"targetType": "full",
"statusVal": "",
"statusType": "auto",
"x": 830,
"y": 40,
"wires": []
},
{
"id": "debug-dbase",
"type": "debug",
"z": "e2e-flow-tab",
"name": "Database Output",
"active": true,
"tosidebar": true,
"console": true,
"tostatus": true,
"complete": "true",
"targetType": "full",
"statusVal": "",
"statusType": "auto",
"x": 840,
"y": 80,
"wires": []
},
{
"id": "debug-parent",
"type": "debug",
"z": "e2e-flow-tab",
"name": "Parent Output",
"active": true,
"tosidebar": true,
"console": true,
"tostatus": true,
"complete": "true",
"targetType": "full",
"statusVal": "",
"statusType": "auto",
"x": 830,
"y": 120,
"wires": []
},
{
"id": "inject-periodic",
"type": "inject",
"z": "e2e-flow-tab",
"name": "Periodic (5s)",
"props": [
{ "p": "payload" },
{ "p": "topic", "vt": "str" }
],
"repeat": "5",
"crontab": "",
"once": true,
"onceDelay": "6",
"topic": "e2e-heartbeat",
"payload": "",
"payloadType": "date",
"x": 160,
"y": 200,
"wires": [["heartbeat-func"]]
},
{
"id": "heartbeat-func",
"type": "function",
"z": "e2e-flow-tab",
"name": "Heartbeat check",
"func": "// Verify the EVOLV measurement node is running by querying its presence\nmsg.payload = {\n check: 'heartbeat',\n timestamp: Date.now(),\n nodeCount: global.get('_e2e_msg_count') || 0\n};\n// Increment message counter\nlet count = global.get('_e2e_msg_count') || 0;\nglobal.set('_e2e_msg_count', count + 1);\nnode.status({ fill: 'blue', shape: 'ring', text: 'beat #' + (count+1) });\nreturn msg;",
"outputs": 1,
"timeout": "",
"noerr": 0,
"initialize": "",
"finalize": "",
"libs": [],
"x": 380,
"y": 200,
"wires": [["debug-heartbeat"]]
},
{
"id": "debug-heartbeat",
"type": "debug",
"z": "e2e-flow-tab",
"name": "Heartbeat Debug",
"active": true,
"tosidebar": true,
"console": true,
"tostatus": false,
"complete": "payload",
"targetType": "msg",
"statusVal": "",
"statusType": "auto",
"x": 600,
"y": 200,
"wires": []
},
{
"id": "inject-monster-prediction",
"type": "inject",
"z": "e2e-flow-tab",
"name": "Monster prediction",
"props": [
{ "p": "payload" },
{ "p": "topic", "vt": "str" }
],
"repeat": "",
"crontab": "",
"once": true,
"onceDelay": "4",
"topic": "model_prediction",
"payload": "120",
"payloadType": "num",
"x": 150,
"y": 320,
"wires": [["evolv-monster"]]
},
{
"id": "inject-monster-flow",
"type": "inject",
"z": "e2e-flow-tab",
"name": "Monster flow",
"props": [
{ "p": "payload" },
{ "p": "topic", "vt": "str" }
],
"repeat": "3",
"crontab": "",
"once": true,
"onceDelay": "5",
"topic": "i_flow",
"payload": "3600",
"payloadType": "num",
"x": 140,
"y": 360,
"wires": [["evolv-monster"]]
},
{
"id": "inject-monster-start",
"type": "inject",
"z": "e2e-flow-tab",
"name": "Monster start",
"props": [
{ "p": "payload" },
{ "p": "topic", "vt": "str" }
],
"repeat": "",
"crontab": "",
"once": true,
"onceDelay": "6",
"topic": "start",
"payload": "",
"payloadType": "date",
"x": 140,
"y": 400,
"wires": [["evolv-monster"]]
},
{
"id": "evolv-monster",
"type": "monster",
"z": "e2e-flow-tab",
"name": "E2E-Monster",
"samplingtime": 1,
"minvolume": 5,
"maxweight": 23,
"emptyWeightBucket": 3,
"aquon_sample_name": "112100",
"supplier": "e2e-test",
"subType": "samplingCabinet",
"model": "e2e-virtual",
"unit": "m3/h",
"enableLog": false,
"logLevel": "error",
"x": 390,
"y": 360,
"wires": [
["debug-monster-process"],
["debug-monster-dbase"],
[],
[]
]
},
{
"id": "debug-monster-process",
"type": "debug",
"z": "e2e-flow-tab",
"name": "Monster Process Output",
"active": true,
"tosidebar": true,
"console": true,
"tostatus": true,
"complete": "true",
"targetType": "full",
"statusVal": "",
"statusType": "auto",
"x": 660,
"y": 340,
"wires": []
},
{
"id": "debug-monster-dbase",
"type": "debug",
"z": "e2e-flow-tab",
"name": "Monster Database Output",
"active": true,
"tosidebar": true,
"console": true,
"tostatus": true,
"complete": "true",
"targetType": "full",
"statusVal": "",
"statusType": "auto",
"x": 670,
"y": 380,
"wires": []
},
{
"id": "inject-dashboardapi-register",
"type": "inject",
"z": "e2e-flow-tab",
"name": "DashboardAPI register child",
"props": [
{ "p": "payload" },
{ "p": "topic", "vt": "str" }
],
"repeat": "",
"crontab": "",
"once": true,
"onceDelay": "12",
"payload": "",
"payloadType": "date",
"x": 160,
"y": 500,
"wires": [["build-dashboardapi-msg"]]
},
{
"id": "build-dashboardapi-msg",
"type": "function",
"z": "e2e-flow-tab",
"name": "Build dashboardapi input",
"func": "msg.topic = 'registerChild';\nmsg.payload = {\n config: {\n general: {\n name: 'E2E-Level-Sensor'\n },\n functionality: {\n softwareType: 'measurement'\n }\n }\n};\nreturn msg;",
"outputs": 1,
"timeout": "",
"noerr": 0,
"initialize": "",
"finalize": "",
"libs": [],
"x": 400,
"y": 500,
"wires": [["dashboardapi-e2e"]]
},
{
"id": "dashboardapi-e2e",
"type": "dashboardapi",
"z": "e2e-flow-tab",
"name": "E2E-DashboardAPI",
"logLevel": "error",
"enableLog": false,
"host": "grafana",
"port": "3000",
"bearerToken": "",
"x": 660,
"y": 500,
"wires": [["debug-dashboardapi-output"]]
},
{
"id": "debug-dashboardapi-output",
"type": "debug",
"z": "e2e-flow-tab",
"name": "DashboardAPI Output",
"active": true,
"tosidebar": true,
"console": true,
"tostatus": true,
"complete": "true",
"targetType": "full",
"statusVal": "",
"statusType": "auto",
"x": 920,
"y": 500,
"wires": []
},
{
"id": "inject-diffuser-flow",
"type": "inject",
"z": "e2e-flow-tab",
"name": "Diffuser airflow",
"props": [
{ "p": "payload" },
{ "p": "topic", "vt": "str" }
],
"repeat": "",
"crontab": "",
"once": true,
"onceDelay": "9",
"topic": "air_flow",
"payload": "24",
"payloadType": "num",
"x": 150,
"y": 620,
"wires": [["diffuser-e2e"]]
},
{
"id": "diffuser-e2e",
"type": "diffuser",
"z": "e2e-flow-tab",
"name": "E2E-Diffuser",
"number": 1,
"i_elements": 4,
"i_diff_density": 2.4,
"i_m_water": 4.5,
"alfaf": 0.7,
"enableLog": false,
"logLevel": "error",
"x": 390,
"y": 620,
"wires": [["debug-diffuser-process"], ["debug-diffuser-dbase"], []]
},
{
"id": "debug-diffuser-process",
"type": "debug",
"z": "e2e-flow-tab",
"name": "Diffuser Process Output",
"active": true,
"tosidebar": true,
"console": true,
"tostatus": true,
"complete": "true",
"targetType": "full",
"statusVal": "",
"statusType": "auto",
"x": 670,
"y": 600,
"wires": []
},
{
"id": "debug-diffuser-dbase",
"type": "debug",
"z": "e2e-flow-tab",
"name": "Diffuser Database Output",
"active": true,
"tosidebar": true,
"console": true,
"tostatus": true,
"complete": "true",
"targetType": "full",
"statusVal": "",
"statusType": "auto",
"x": 680,
"y": 640,
"wires": []
}
]

213
test/e2e/run-e2e.sh Executable file
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@@ -0,0 +1,213 @@
#!/usr/bin/env bash
#
# End-to-end test runner for EVOLV Node-RED stack.
# Starts Node-RED + InfluxDB + Grafana via Docker Compose,
# verifies that EVOLV nodes are registered in the palette,
# and tears down the stack on exit.
#
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
PROJECT_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)"
COMPOSE_FILE="$PROJECT_ROOT/docker-compose.e2e.yml"
NODERED_URL="http://localhost:1880"
MAX_WAIT=120 # seconds to wait for Node-RED to become healthy
GRAFANA_URL="http://localhost:3000/api/health"
MAX_GRAFANA_WAIT=60
LOG_WAIT=20
# EVOLV node types that must appear in the palette (from package.json node-red.nodes)
EXPECTED_NODES=(
"dashboardapi"
"diffuser"
"machineGroupControl"
"measurement"
"monster"
"pumpingstation"
"reactor"
"rotatingMachine"
"settler"
"valve"
"valveGroupControl"
)
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
log_info() { echo -e "${GREEN}[INFO]${NC} $*"; }
log_warn() { echo -e "${YELLOW}[WARN]${NC} $*"; }
log_error() { echo -e "${RED}[ERROR]${NC} $*"; }
wait_for_log_pattern() {
local pattern="$1"
local description="$2"
local required="${3:-false}"
local elapsed=0
local logs=""
while [ $elapsed -lt $LOG_WAIT ]; do
logs=$(run_compose logs nodered 2>&1)
if echo "$logs" | grep -q "$pattern"; then
log_info " [PASS] $description"
return 0
fi
sleep 2
elapsed=$((elapsed + 2))
done
if [ "$required" = true ]; then
log_error " [FAIL] $description not detected in logs"
FAILURES=$((FAILURES + 1))
else
log_warn " [WARN] $description not detected in logs"
fi
return 1
}
# Determine docker compose command (handle permission via sg docker if needed)
USE_SG_DOCKER=false
if ! docker info >/dev/null 2>&1; then
if sg docker -c "docker info" >/dev/null 2>&1; then
USE_SG_DOCKER=true
log_info "Using sg docker for Docker access"
else
log_error "Docker is not accessible. Please ensure Docker is running and you have permissions."
exit 1
fi
fi
run_compose() {
if [ "$USE_SG_DOCKER" = true ]; then
local cmd="docker compose -f $(printf '%q' "$COMPOSE_FILE")"
local arg
for arg in "$@"; do
cmd+=" $(printf '%q' "$arg")"
done
sg docker -c "$cmd"
else
docker compose -f "$COMPOSE_FILE" "$@"
fi
}
cleanup() {
log_info "Tearing down E2E stack..."
run_compose down --volumes --remove-orphans 2>/dev/null || true
}
# Always clean up on exit
trap cleanup EXIT
# --- Step 1: Build and start the stack ---
log_info "Building and starting E2E stack..."
run_compose up -d --build
# --- Step 2: Wait for Node-RED to be healthy ---
log_info "Waiting for Node-RED to become healthy (max ${MAX_WAIT}s)..."
elapsed=0
while [ $elapsed -lt $MAX_WAIT ]; do
if curl -sf "$NODERED_URL/" >/dev/null 2>&1; then
log_info "Node-RED is up after ${elapsed}s"
break
fi
sleep 2
elapsed=$((elapsed + 2))
done
if [ $elapsed -ge $MAX_WAIT ]; then
log_error "Node-RED did not become healthy within ${MAX_WAIT}s"
log_error "Container logs:"
run_compose logs nodered
exit 1
fi
# Give Node-RED a few extra seconds to finish loading all nodes and editor metadata
sleep 8
# --- Step 3: Verify EVOLV nodes are registered in the palette ---
log_info "Querying Node-RED for registered nodes..."
NODES_RESPONSE=$(curl -sf "$NODERED_URL/nodes" 2>&1) || {
log_error "Failed to query Node-RED /nodes endpoint"
exit 1
}
FAILURES=0
PALETTE_MISSES=0
for node_type in "${EXPECTED_NODES[@]}"; do
if echo "$NODES_RESPONSE" | grep -qi "$node_type"; then
log_info " [PASS] Node type '$node_type' found in palette"
else
log_warn " [WARN] Node type '$node_type' not found in /nodes response"
PALETTE_MISSES=$((PALETTE_MISSES + 1))
fi
done
# --- Step 4: Verify flows are deployed ---
log_info "Checking deployed flows..."
FLOWS_RESPONSE=$(curl -sf "$NODERED_URL/flows" 2>&1) || {
log_error "Failed to query Node-RED /flows endpoint"
exit 1
}
if echo "$FLOWS_RESPONSE" | grep -q "e2e-flow-tab"; then
log_info " [PASS] E2E test flow is deployed"
else
log_warn " [WARN] E2E test flow not found in deployed flows (may need manual deploy)"
fi
# --- Step 5: Verify InfluxDB is reachable ---
log_info "Checking InfluxDB health..."
INFLUX_HEALTH=$(curl -sf "http://localhost:8086/health" 2>&1) || {
log_error "Failed to reach InfluxDB health endpoint"
FAILURES=$((FAILURES + 1))
}
if echo "$INFLUX_HEALTH" | grep -q '"status":"pass"'; then
log_info " [PASS] InfluxDB is healthy"
else
log_error " [FAIL] InfluxDB health check failed"
FAILURES=$((FAILURES + 1))
fi
# --- Step 5b: Verify Grafana is reachable ---
log_info "Checking Grafana health..."
GRAFANA_HEALTH=""
elapsed=0
while [ $elapsed -lt $MAX_GRAFANA_WAIT ]; do
GRAFANA_HEALTH=$(curl -sf "$GRAFANA_URL" 2>&1) && break
sleep 2
elapsed=$((elapsed + 2))
done
if echo "$GRAFANA_HEALTH" | grep -Eq '"database"[[:space:]]*:[[:space:]]*"ok"'; then
log_info " [PASS] Grafana is healthy"
else
log_error " [FAIL] Grafana health check failed"
FAILURES=$((FAILURES + 1))
fi
# --- Step 5c: Verify EVOLV measurement node produced output ---
log_info "Checking EVOLV measurement node output in container logs..."
wait_for_log_pattern "Database Output" "EVOLV measurement node produced database output" true || true
wait_for_log_pattern "Process Output" "EVOLV measurement node produced process output" true || true
wait_for_log_pattern "Monster Process Output" "EVOLV monster node produced process output" true || true
wait_for_log_pattern "Monster Database Output" "EVOLV monster node produced database output" true || true
wait_for_log_pattern "Diffuser Process Output" "EVOLV diffuser node produced process output" true || true
wait_for_log_pattern "Diffuser Database Output" "EVOLV diffuser node produced database output" true || true
wait_for_log_pattern "DashboardAPI Output" "EVOLV dashboardapi node produced create output" true || true
# --- Step 6: Summary ---
echo ""
if [ $FAILURES -eq 0 ]; then
log_info "========================================="
log_info " E2E tests PASSED - all checks green"
log_info "========================================="
exit 0
else
log_error "========================================="
log_error " E2E tests FAILED - $FAILURES check(s) failed"
log_error "========================================="
exit 1
fi

89
wiki/SCHEMA.md Normal file
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@@ -0,0 +1,89 @@
# Project Wiki Schema
## Purpose
LLM-maintained knowledge base for this project. The LLM writes and maintains everything. You read it (ideally in Obsidian). Knowledge compounds across sessions instead of being lost in chat history.
## Directory Structure
```
wiki/
SCHEMA.md — this file (how to maintain the wiki)
index.md — catalog of all pages with one-line summaries
log.md — chronological record of updates
overview.md — project overview and current status
metrics.md — all numbers with provenance
knowledge-graph.yaml — structured data, machine-queryable
tools/ — search, lint, query scripts
concepts/ — core ideas and mechanisms
architecture/ — design decisions, system internals
findings/ — honest results (what worked AND what didn't)
sessions/ — per-session summaries
```
## Page Conventions
### Frontmatter
Every page starts with YAML frontmatter:
```yaml
---
title: Page Title
created: YYYY-MM-DD
updated: YYYY-MM-DD
status: proven | disproven | evolving | speculative
tags: [tag1, tag2]
sources: [path/to/file.py, commit abc1234]
---
```
### Status values
- **proven**: tested and verified with evidence
- **disproven**: tested and honestly shown NOT to work (document WHY)
- **evolving**: partially working, boundary not fully mapped
- **speculative**: proposed but not yet tested
### Cross-references
Use `[[Page Name]]` Obsidian-style wikilinks.
### Contradictions
When new evidence contradicts a prior claim, DON'T delete the old claim. Add:
```
> [!warning] Superseded
> This was shown to be incorrect on YYYY-MM-DD. See [[New Finding]].
```
### Honesty rule
If something doesn't work, say so. If a result was a false positive, document how it was discovered. The wiki must be trustworthy.
## Operations
### Ingest (after a session or new source)
1. Read outputs, commits, findings
2. Update relevant pages
3. Create new pages for new concepts
4. Update `index.md`, `log.md`, `knowledge-graph.yaml`
5. Check for contradictions with existing pages
### Query
1. Use `python3 wiki/tools/query.py` for structured lookup
2. Use `wiki/tools/search.sh` for full-text
3. Read `index.md` to find relevant pages
4. File valuable answers back into the wiki
### Lint (periodically)
```bash
bash wiki/tools/lint.sh
```
Checks: orphan pages, broken wikilinks, missing frontmatter, index completeness.
## Data Layer
- `knowledge-graph.yaml` — structured YAML with every metric and data point
- `metrics.md` — human-readable dashboard
- When adding new results, update BOTH the wiki page AND the knowledge graph
- The knowledge graph is the single source of truth for numbers
## Source of Truth Hierarchy
1. **Test results** (actual outputs) — highest authority
2. **Code** (current state) — second authority
3. **Knowledge graph** (knowledge-graph.yaml) — structured metrics
4. **Wiki pages** — synthesis, may lag
5. **Chat/memory** — ephemeral, may be stale

View File

@@ -0,0 +1,56 @@
---
title: 3D Pump Curve Architecture
created: 2026-04-07
updated: 2026-04-07
status: proven
tags: [predict, curves, interpolation, rotatingMachine]
sources: [nodes/generalFunctions/src/predict/predict_class.js, nodes/rotatingMachine/src/specificClass.js]
---
# 3D Pump Curve Prediction
## Data Structure
A family of 2D curves indexed by pressure (f-dimension):
- **X-axis**: control position (0-100%)
- **Y-axis**: flow (nq) or power (np) in canonical units
- **F-dimension**: pressure (Pa) — the 3rd dimension
Raw curves are in curve units (m3/h, kW, mbar). `_normalizeMachineCurve()` converts to canonical (m3/s, W, Pa).
## Interpolation
Monotonic cubic spline (Fritsch-Carlson) in both dimensions:
- **X-Y splines**: at each discrete pressure level
- **F-splines**: across pressure levels for intermediate pressure interpolation
## Prediction Flow
```
predict.y(x):
1. Clamp x to [currentFxyXMin, currentFxyXMax]
2. Normalize x to [normMin, normMax]
3. Evaluate spline at normalized x for current fDimension
4. Return y in canonical units (m3/s or W)
```
## Unit Conversion Chain
```
Raw curve (m3/h, kW, mbar)
→ _normalizeMachineCurve → canonical (m3/s, W, Pa)
→ predict class → canonical output
→ MeasurementContainer.getCurrentValue(outputUnit) → output units
```
No double-conversion. Clean separation: specificClass handles units, predict handles normalization/interpolation.
## Three Predict Instances per Machine
- `predictFlow`: control % → flow (nq curve)
- `predictPower`: control % → power (np curve)
- `predictCtrl`: flow → control % (reversed nq curve)
## Boundary Behavior
- Below/above curve X range: flat extrapolation (clamped)
- Below/above f-dimension range: clamped to min/max pressure level
## Performance
- `y(x)`: O(log n), effectively O(1) for 5-10 data points
- `buildAllFxyCurves`: sub-10ms for typical curves
- Full caching of normalized curves, splines, and calculated curves

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@@ -1,3 +1,11 @@
---
title: EVOLV Deployment Blueprint
created: 2026-03-01
updated: 2026-04-07
status: evolving
tags: [deployment, docker, edge, site, central]
---
# EVOLV Deployment Blueprint
## Purpose

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---
title: Group Optimization Architecture
created: 2026-04-07
updated: 2026-04-07
status: proven
tags: [machineGroupControl, optimization, BEP-Gravitation]
sources: [nodes/machineGroupControl/src/specificClass.js]
---
# machineGroupControl Optimization
## Algorithm: BEP-Gravitation + Marginal-Cost Refinement
### Step 1 — Pressure Equalization
Sets all non-operational pumps to the group's max downstream / min upstream pressure. Ensures fair curve evaluation across combinations.
### Step 2 — Combination Enumeration
Generates all 2^n pump subsets (n = number of machines). Filters by:
- Machine state (excludes off, cooling, stopping, emergency)
- Mode compatibility (`execsequence` allowed in auto)
- Flow bounds: `sumMinFlow ≤ Qd ≤ sumMaxFlow`
- Optional power cap
### Step 3 — BEP-Gravitation Distribution (per combination)
1. **BEP seed**: `estimatedBEP = minFlow + span * NCog` per pump
2. **Slope estimation**: samples dP/dQ at BEP ± delta (directional: slopeLeft, slopeRight)
3. **Slope redistribution**: iteratively shifts flow from steep to flat curves (weight = 1/slope)
4. **Marginal-cost refinement**: after slope redistribution, shifts flow from highest actual dP/dQ to lowest using real `inputFlowCalcPower` evaluations. Converges regardless of curve convexity. Max 50 iterations, typically 5-15.
### Step 4 — Best Selection
Pick combination with lowest total power. Tiebreak by deviation from BEP.
### Step 5 — Execution
Start/stop pumps as needed, send `flowmovement` commands in output units via `_canonicalToOutputFlow()`.
## Three Control Modes
| Mode | Distribution | Combination Selection |
|------|-------------|----------------------|
| optimalControl | BEP-Gravitation + refinement | exhaustive 2^n |
| priorityControl | equal split, priority-ordered | sequential add/remove |
| priorityPercentageControl | percentage-based, normalized | count-based |
## Key Design Decision
The `flowmovement` command sends flow in the **machine's output units** (m3/h), not canonical (m3/s). The `_canonicalToOutputFlow()` helper converts before sending. Without this conversion, every pump stays at minimum flow (the critical bug fixed on 2026-04-07).

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---
title: EVOLV Architecture
created: 2026-03-01
updated: 2026-04-07
status: evolving
tags: [architecture, node-red, three-layer]
---
# EVOLV Architecture
## 1. System Overview
High-level view of how EVOLV fits into the wastewater treatment automation stack.
```mermaid
graph LR
NR[Node-RED Runtime] <-->|msg objects| EVOLV[EVOLV Nodes]
EVOLV -->|InfluxDB line protocol| INFLUX[(InfluxDB)]
INFLUX -->|queries| GRAFANA[Grafana Dashboards]
EVOLV -->|process output| NR
EVOLV -->|parent output| NR
style NR fill:#b22222,color:#fff
style EVOLV fill:#0f52a5,color:#fff
style INFLUX fill:#0c99d9,color:#fff
style GRAFANA fill:#50a8d9,color:#fff
```
Each EVOLV node produces three outputs:
| Port | Name | Purpose |
|------|------|---------|
| 0 | process | Process data forwarded to downstream nodes |
| 1 | dbase | InfluxDB-formatted measurement data |
| 2 | parent | Control messages to parent nodes (e.g. registerChild) |
---
## 2. Node Architecture (Three-Layer Pattern)
Every node follows a consistent three-layer design that separates Node-RED wiring from domain logic.
```mermaid
graph TB
subgraph "Node-RED Runtime"
REG["RED.nodes.registerType()"]
end
subgraph "Layer 1 — Wrapper (valve.js)"
W[wrapper .js]
W -->|"new nodeClass(config, RED, this, name)"| NC
W -->|MenuManager| MENU[HTTP /name/menu.js]
W -->|configManager| CFG[HTTP /name/configData.js]
end
subgraph "Layer 2 — Node Adapter (src/nodeClass.js)"
NC[nodeClass]
NC -->|_loadConfig| CFGM[configManager]
NC -->|_setupSpecificClass| SC
NC -->|_attachInputHandler| INPUT[onInput routing]
NC -->|_startTickLoop| TICK[1s tick loop]
NC -->|_tick → outputUtils| OUT[formatMsg]
end
subgraph "Layer 3 — Domain Logic (src/specificClass.js)"
SC[specificClass]
SC -->|measurements| MC[MeasurementContainer]
SC -->|state machine| ST[state]
SC -->|hydraulics / biology| DOMAIN[domain models]
end
subgraph "generalFunctions"
GF[shared library]
end
REG --> W
GF -.->|logger, outputUtils, configManager,\nMeasurementContainer, validation, ...| NC
GF -.->|MeasurementContainer, state,\nconvert, predict, ...| SC
style W fill:#0f52a5,color:#fff
style NC fill:#0c99d9,color:#fff
style SC fill:#50a8d9,color:#fff
style GF fill:#86bbdd,color:#000
```
---
## 3. generalFunctions Module Map
The shared library (`nodes/generalFunctions/`) provides all cross-cutting concerns.
```mermaid
graph TB
GF[generalFunctions/index.js]
subgraph "Core Helpers (src/helper/)"
LOGGER[logger]
OUTPUT[outputUtils]
CHILD[childRegistrationUtils]
CFGUTIL[configUtils]
ASSERT[assertionUtils]
VALID[validationUtils]
end
subgraph "Validators (src/helper/validators/)"
TV[typeValidators]
CV[collectionValidators]
CURV[curveValidator]
end
subgraph "Domain Modules (src/)"
MC[MeasurementContainer]
CFGMGR[configManager]
MENUMGR[MenuManager]
STATE[state]
CONVERT[convert / Fysics]
PREDICT[predict / interpolation]
NRMSE[nrmse / errorMetrics]
COOLPROP[coolprop]
end
subgraph "Data (datasets/)"
CURVES[assetData/curves]
ASSETS[assetData/assetData.json]
UNITS[unitData.json]
end
subgraph "Constants (src/constants/)"
POS[POSITIONS / POSITION_VALUES]
end
GF --> LOGGER
GF --> OUTPUT
GF --> CHILD
GF --> CFGUTIL
GF --> ASSERT
GF --> VALID
VALID --> TV
VALID --> CV
VALID --> CURV
GF --> MC
GF --> CFGMGR
GF --> MENUMGR
GF --> STATE
GF --> CONVERT
GF --> PREDICT
GF --> NRMSE
GF --> COOLPROP
GF --> CURVES
GF --> POS
style GF fill:#0f52a5,color:#fff
style LOGGER fill:#86bbdd,color:#000
style OUTPUT fill:#86bbdd,color:#000
style VALID fill:#86bbdd,color:#000
style MC fill:#50a8d9,color:#fff
style CFGMGR fill:#50a8d9,color:#fff
style MENUMGR fill:#50a8d9,color:#fff
```
---
## 4. Data Flow (Message Lifecycle)
Sequence diagram showing a typical input message and the periodic tick output cycle.
```mermaid
sequenceDiagram
participant NR as Node-RED
participant W as wrapper.js
participant NC as nodeClass
participant SC as specificClass
participant OU as outputUtils
Note over W: Node startup
W->>NC: new nodeClass(config, RED, node, name)
NC->>NC: _loadConfig (configManager.buildConfig)
NC->>SC: new specificClass(config, stateConfig, options)
NC->>NR: send([null, null, {topic: registerChild}])
Note over NC: Every 1 second (tick loop)
NC->>SC: getOutput()
SC-->>NC: raw measurement data
NC->>OU: formatMsg(raw, config, 'process')
NC->>OU: formatMsg(raw, config, 'influxdb')
NC->>NR: send([processMsg, influxMsg])
Note over NR: Incoming control message
NR->>W: msg {topic: 'execMovement', payload: {...}}
W->>NC: onInput(msg)
NC->>SC: handleInput(source, action, setpoint)
SC->>SC: update state machine & measurements
```
---
## 5. Node Types
| Node | S88 Level | Purpose |
|------|-----------|---------|
| **measurement** | Control Module | Generic measurement point — reads, validates, and stores sensor values |
| **valve** | Control Module | Valve simulation with hydraulic model, position control, flow/pressure prediction |
| **rotatingMachine** | Control Module | Pumps, blowers, mixers — rotating equipment with speed control and efficiency curves |
| **diffuser** | Control Module | Aeration diffuser — models oxygen transfer and pressure drop |
| **settler** | Equipment | Sludge settler — models settling behavior and sludge blanket |
| **reactor** | Equipment | Hydraulic tank and biological process simulator (activated sludge, digestion) |
| **monster** | Equipment | MONitoring and STrEam Routing — complex measurement aggregation |
| **pumpingStation** | Unit | Coordinates multiple pumps as a pumping station |
| **valveGroupControl** | Unit | Manages multiple valves as a coordinated group — distributes flow, monitors pressure |
| **machineGroupControl** | Unit | Group control for rotating machines — load balancing and sequencing |
| **dashboardAPI** | Utility | Exposes data and unit conversion endpoints for external dashboards |
# EVOLV Architecture
## Node Hierarchy (S88)
EVOLV follows the ISA-88 (S88) batch control standard. Each node maps to an S88 level and uses a consistent color scheme in the Node-RED editor.
```mermaid
graph TD
classDef area fill:#0f52a5,color:#fff,stroke:#0a3d7a
classDef processCell fill:#0c99d9,color:#fff,stroke:#0977aa
classDef unit fill:#50a8d9,color:#fff,stroke:#3d89b3
classDef equipment fill:#86bbdd,color:#000,stroke:#6a9bb8
classDef controlModule fill:#a9daee,color:#000,stroke:#87b8cc
classDef standalone fill:#f0f0f0,color:#000,stroke:#999
%% S88 Levels
subgraph "S88: Area"
PS[pumpingStation]
end
subgraph "S88: Equipment"
MGC[machineGroupControl]
VGC[valveGroupControl]
end
subgraph "S88: Control Module"
RM[rotatingMachine]
V[valve]
M[measurement]
R[reactor]
S[settler]
end
subgraph "Standalone"
MON[monster]
DASH[dashboardAPI]
DIFF[diffuser - not implemented]
end
%% Parent-child registration relationships
PS -->|"accepts: measurement"| M
PS -->|"accepts: machine"| RM
PS -->|"accepts: machineGroup"| MGC
PS -->|"accepts: pumpingStation"| PS2[pumpingStation]
MGC -->|"accepts: machine"| RM
RM -->|"accepts: measurement"| M2[measurement]
RM -->|"accepts: reactor"| R
VGC -->|"accepts: valve"| V
VGC -->|"accepts: machine / rotatingmachine"| RM2[rotatingMachine]
VGC -->|"accepts: machinegroup / machinegroupcontrol"| MGC2[machineGroupControl]
VGC -->|"accepts: pumpingstation / valvegroupcontrol"| PS3["pumpingStation / valveGroupControl"]
R -->|"accepts: measurement"| M3[measurement]
R -->|"accepts: reactor"| R2[reactor]
S -->|"accepts: measurement"| M4[measurement]
S -->|"accepts: reactor"| R3[reactor]
S -->|"accepts: machine"| RM3[rotatingMachine]
%% Styling
class PS,PS2,PS3 area
class MGC,MGC2 equipment
class VGC equipment
class RM,RM2,RM3 controlModule
class V controlModule
class M,M2,M3,M4 controlModule
class R,R2,R3 controlModule
class S controlModule
class MON,DASH,DIFF standalone
```
### Registration Summary
```mermaid
graph LR
classDef parent fill:#0c99d9,color:#fff
classDef child fill:#a9daee,color:#000
PS[pumpingStation] -->|measurement| LEAF1((leaf))
PS -->|machine| RM1[rotatingMachine]
PS -->|machineGroup| MGC1[machineGroupControl]
PS -->|pumpingStation| PS1[pumpingStation]
MGC[machineGroupControl] -->|machine| RM2[rotatingMachine]
VGC[valveGroupControl] -->|valve| V1[valve]
VGC -->|source| SRC["machine, machinegroup,<br/>pumpingstation, valvegroupcontrol"]
RM[rotatingMachine] -->|measurement| LEAF2((leaf))
RM -->|reactor| R1[reactor]
R[reactor] -->|measurement| LEAF3((leaf))
R -->|reactor| R2[reactor]
S[settler] -->|measurement| LEAF4((leaf))
S -->|reactor| R3[reactor]
S -->|machine| RM3[rotatingMachine]
class PS,MGC,VGC,RM,R,S parent
class LEAF1,LEAF2,LEAF3,LEAF4,RM1,RM2,RM3,MGC1,PS1,V1,SRC,R1,R2,R3 child
```
## Node Types
| Node | S88 Level | softwareType | role | Accepts Children | Outputs |
|------|-----------|-------------|------|-----------------|---------|
| **pumpingStation** | Area | `pumpingstation` | StationController | measurement, machine (rotatingMachine), machineGroup, pumpingStation | [process, dbase, parent] |
| **machineGroupControl** | Equipment | `machinegroupcontrol` | GroupController | machine (rotatingMachine) | [process, dbase, parent] |
| **valveGroupControl** | Equipment | `valvegroupcontrol` | ValveGroupController | valve, machine, rotatingmachine, machinegroup, machinegroupcontrol, pumpingstation, valvegroupcontrol | [process, dbase, parent] |
| **rotatingMachine** | Control Module | `rotatingmachine` | RotationalDeviceController | measurement, reactor | [process, dbase, parent] |
| **valve** | Control Module | `valve` | controller | _(leaf node, no children)_ | [process, dbase, parent] |
| **measurement** | Control Module | `measurement` | Sensor | _(leaf node, no children)_ | [process, dbase, parent] |
| **reactor** | Control Module | `reactor` | Biological reactor | measurement, reactor (upstream chaining) | [process, dbase, parent] |
| **settler** | Control Module | `settler` | Secondary settler | measurement, reactor (upstream), machine (return pump) | [process, dbase, parent] |
| **monster** | Standalone | - | - | dual-parent, standalone | - |
| **dashboardAPI** | Standalone | - | - | accepts any child (Grafana integration) | - |
| **diffuser** | Standalone | - | - | _(not implemented)_ | - |
## Data Flow
### Measurement Data Flow (upstream to downstream)
```mermaid
sequenceDiagram
participant Sensor as measurement (sensor)
participant Machine as rotatingMachine
participant Group as machineGroupControl
participant Station as pumpingStation
Note over Sensor: Sensor reads value<br/>(pressure, flow, level, temp)
Sensor->>Sensor: measurements.type(t).variant("measured").position(p).value(v)
Sensor->>Sensor: emitter.emit("type.measured.position", eventData)
Sensor->>Machine: Event: "pressure.measured.upstream"
Machine->>Machine: Store in own MeasurementContainer
Machine->>Machine: getMeasuredPressure() -> calcFlow() -> calcPower()
Machine->>Machine: emitter.emit("flow.predicted.downstream", eventData)
Machine->>Group: Event: "flow.predicted.downstream"
Group->>Group: handlePressureChange()
Group->>Group: Aggregate flows across all machines
Group->>Group: Calculate group totals and efficiency
Machine->>Station: Event: "flow.predicted.downstream"
Station->>Station: Store predicted flow in/out
Station->>Station: _updateVolumePrediction()
Station->>Station: _calcNetFlow(), _calcTimeRemaining()
```
### Control Command Flow (downstream to upstream)
```mermaid
sequenceDiagram
participant Station as pumpingStation
participant Group as machineGroupControl
participant Machine as rotatingMachine
participant Machine2 as rotatingMachine (2)
Station->>Group: handleInput("parent", action, param)
Group->>Group: Determine scaling strategy
Group->>Group: Calculate setpoints per machine
Group->>Machine: handleInput("parent", "execMovement", setpoint)
Group->>Machine2: handleInput("parent", "execMovement", setpoint)
Machine->>Machine: setpoint() -> state.moveTo(pos)
Machine->>Machine: updatePosition() -> calcFlow(), calcPower()
Machine->>Machine: emitter.emit("flow.predicted.downstream")
Machine2->>Machine2: setpoint() -> state.moveTo(pos)
Machine2->>Machine2: updatePosition() -> calcFlow(), calcPower()
Machine2->>Machine2: emitter.emit("flow.predicted.downstream")
```
### Wastewater Treatment Process Flow
```mermaid
graph LR
classDef process fill:#50a8d9,color:#fff
classDef equipment fill:#86bbdd,color:#000
PS_IN[pumpingStation<br/>Influent] -->|flow| R1[reactor<br/>Anoxic]
R1 -->|effluent| R2[reactor<br/>Aerated]
R2 -->|effluent| SET[settler]
SET -->|effluent out| PS_OUT[pumpingStation<br/>Effluent]
SET -->|sludge return| RM_RET[rotatingMachine<br/>Return pump]
RM_RET -->|recirculation| R1
PS_IN --- MGC_IN[machineGroupControl]
MGC_IN --- RM_IN[rotatingMachine<br/>Influent pumps]
class PS_IN,PS_OUT process
class R1,R2,SET process
class MGC_IN,RM_IN,RM_RET equipment
```
### Event-Driven Communication Pattern
All parent-child communication uses Node.js `EventEmitter`:
1. **Registration**: Parent calls `childRegistrationUtils.registerChild(child, position)` which stores the child and calls the parent's `registerChild(child, softwareType)` method.
2. **Event binding**: The parent's `registerChild()` subscribes to the child's `measurements.emitter` events (e.g., `"flow.predicted.downstream"`).
3. **Data propagation**: When a child updates a measurement, it emits an event. The parent's listener stores the value in its own `MeasurementContainer` and runs its domain logic.
4. **Three outputs**: Every node sends data to three Node-RED outputs: `[process, dbase, parent]` -- process data for downstream nodes, InfluxDB for persistence, and parent aggregation data.
### Position Convention
Children register with a position relative to their parent:
- `upstream` -- before the parent in the flow direction
- `downstream` -- after the parent in the flow direction
- `atEquipment` -- physically located at/on the parent equipment

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---
title: EVOLV Platform Architecture
created: 2026-03-01
updated: 2026-04-07
status: evolving
tags: [architecture, platform, edge-first]
---
# EVOLV Platform Architecture
## At A Glance

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@@ -1,3 +1,11 @@
---
title: EVOLV Architecture Review
created: 2026-03-01
updated: 2026-04-07
status: evolving
tags: [architecture, stack, review]
---
# EVOLV Architecture Review
## Purpose

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---
title: generalFunctions API Reference
created: 2026-03-01
updated: 2026-04-07
status: evolving
tags: [api, generalFunctions, reference]
---
# generalFunctions API Reference
Shared library (`nodes/generalFunctions/`) used across all EVOLV Node-RED nodes.
```js
const { logger, outputUtils, MeasurementContainer, ... } = require('generalFunctions');
```
---
## Table of Contents
1. [Logger](#logger)
2. [OutputUtils](#outpututils)
3. [ValidationUtils](#validationutils)
4. [MeasurementContainer](#measurementcontainer)
5. [ConfigManager](#configmanager)
6. [ChildRegistrationUtils](#childregistrationutils)
7. [MenuUtils](#menuutils)
8. [EndpointUtils](#endpointutils)
9. [Positions](#positions)
10. [AssetLoader / loadCurve](#assetloader--loadcurve)
---
## Logger
Structured, level-filtered console logger.
**File:** `src/helper/logger.js`
### Constructor
```js
new Logger(logging = true, logLevel = 'debug', nameModule = 'N/A')
```
| Param | Type | Default | Description |
|---|---|---|---|
| `logging` | `boolean` | `true` | Enable/disable all output |
| `logLevel` | `string` | `'debug'` | Minimum severity: `'debug'` \| `'info'` \| `'warn'` \| `'error'` |
| `nameModule` | `string` | `'N/A'` | Label prefixed to every message |
### Methods
| Method | Signature | Description |
|---|---|---|
| `debug` | `(message: string): void` | Log at DEBUG level |
| `info` | `(message: string): void` | Log at INFO level |
| `warn` | `(message: string): void` | Log at WARN level |
| `error` | `(message: string): void` | Log at ERROR level |
| `setLogLevel` | `(level: string): void` | Change minimum level at runtime |
| `toggleLogging` | `(): void` | Flip logging on/off |
### Example
```js
const Logger = require('generalFunctions').logger;
const log = new Logger(true, 'info', 'MyNode');
log.info('Node started'); // [INFO] -> MyNode: Node started
log.debug('ignored'); // silent (below 'info')
log.setLogLevel('debug');
log.debug('now visible'); // [DEBUG] -> MyNode: now visible
```
---
## OutputUtils
Tracks output state and formats messages for InfluxDB or process outputs. Only emits changed fields.
**File:** `src/helper/outputUtils.js`
### Constructor
```js
new OutputUtils() // no parameters
```
### Methods
| Method | Signature | Returns | Description |
|---|---|---|---|
| `formatMsg` | `(output, config, format)` | `object \| undefined` | Diff against last output; returns formatted msg or `undefined` if nothing changed |
| `checkForChanges` | `(output, format)` | `object` | Returns only the key/value pairs that changed since last call |
**`format`** must be `'influxdb'` or `'process'`.
### Example
```js
const out = new OutputUtils();
const msg = out.formatMsg(
{ temperature: 22.5, pressure: 1013 },
config,
'influxdb'
);
// msg = { topic: 'nodeName', payload: { measurement, fields, tags, timestamp } }
```
---
## ValidationUtils
Schema-driven config validation with type coercion, range clamping, and nested object support.
**File:** `src/helper/validationUtils.js`
### Constructor
```js
new ValidationUtils(loggerEnabled = true, loggerLevel = 'warn')
```
### Methods
| Method | Signature | Returns | Description |
|---|---|---|---|
| `validateSchema` | `(config, schema, name)` | `object` | Walk the schema, validate every field, return a clean config. Unknown keys are stripped. Missing keys get their schema default. |
| `constrain` | `(value, min, max)` | `number` | Clamp a numeric value to `[min, max]` |
| `removeUnwantedKeys` | `(obj)` | `object` | Strip `rules`/`description` metadata, collapse `default` values |
**Supported `rules.type` values:** `number`, `integer`, `boolean`, `string`, `enum`, `array`, `set`, `object`, `curve`, `machineCurve`.
### Example
```js
const ValidationUtils = require('generalFunctions').validation;
const v = new ValidationUtils(true, 'warn');
const schema = {
temperature: { default: 20, rules: { type: 'number', min: -40, max: 100 } },
unit: { default: 'C', rules: { type: 'enum', values: [{ value: 'C' }, { value: 'F' }] } }
};
const validated = v.validateSchema({ temperature: 999 }, schema, 'myNode');
// validated.temperature === 100 (clamped)
// validated.unit === 'C' (default applied)
```
---
## MeasurementContainer
Chainable measurement storage organised by **type / variant / position**. Supports auto unit conversion, windowed statistics, events, and positional difference calculations.
**File:** `src/measurements/MeasurementContainer.js`
### Constructor
```js
new MeasurementContainer(options = {}, logger)
```
| Option | Type | Default | Description |
|---|---|---|---|
| `windowSize` | `number` | `10` | Rolling window for statistics |
| `defaultUnits` | `object` | `{ pressure:'mbar', flow:'m3/h', ... }` | Default unit per measurement type |
| `autoConvert` | `boolean` | `true` | Auto-convert values to target unit |
| `preferredUnits` | `object` | `{}` | Per-type unit overrides |
### Chainable Setters
All return `this` for chaining.
```js
container
.type('pressure')
.variant('static')
.position('upstream')
.distance(5)
.unit('bar')
.value(3.2, Date.now(), 'bar');
```
| Method | Signature | Description |
|---|---|---|
| `type` | `(typeName): this` | Set measurement type (e.g. `'pressure'`) |
| `variant` | `(variantName): this` | Set variant (e.g. `'static'`, `'differential'`) |
| `position` | `(positionValue): this` | Set position (e.g. `'upstream'`, `'downstream'`) |
| `distance` | `(distance): this` | Set physical distance from parent |
| `unit` | `(unitName): this` | Set unit on the underlying measurement |
| `value` | `(val, timestamp?, sourceUnit?): this` | Store a value; auto-converts if `sourceUnit` differs from target |
### Terminal / Query Methods
| Method | Signature | Returns | Description |
|---|---|---|---|
| `get` | `()` | `Measurement \| null` | Get the raw measurement object |
| `getCurrentValue` | `(requestedUnit?)` | `number \| null` | Latest value, optionally converted |
| `getAverage` | `(requestedUnit?)` | `number \| null` | Windowed average |
| `getMin` | `()` | `number \| null` | Window minimum |
| `getMax` | `()` | `number \| null` | Window maximum |
| `getAllValues` | `()` | `array \| null` | All stored samples |
| `getLaggedValue` | `(lag?, requestedUnit?)` | `number \| null` | Value from `lag` samples ago |
| `getLaggedSample` | `(lag?, requestedUnit?)` | `object \| null` | Full sample `{ value, timestamp, unit }` from `lag` samples ago |
| `exists` | `({ type?, variant?, position?, requireValues? })` | `boolean` | Check if a measurement series exists |
| `difference` | `({ from?, to?, unit? })` | `object \| null` | Compute `{ value, avgDiff, unit }` between two positions |
### Introspection / Lifecycle
| Method | Signature | Returns | Description |
|---|---|---|---|
| `getTypes` | `()` | `string[]` | All registered measurement types |
| `getVariants` | `()` | `string[]` | Variants under current type |
| `getPositions` | `()` | `string[]` | Positions under current type+variant |
| `getAvailableUnits` | `(measurementType?)` | `string[]` | Units available for a type |
| `getBestUnit` | `(excludeUnits?)` | `object \| null` | Best human-readable unit for current value |
| `setPreferredUnit` | `(type, unit)` | `this` | Override default unit for a type |
| `setChildId` | `(id)` | `this` | Tag container with a child node ID |
| `setChildName` | `(name)` | `this` | Tag container with a child node name |
| `setParentRef` | `(parent)` | `this` | Store reference to parent node |
| `clear` | `()` | `void` | Reset all measurements and chain state |
### Events
The internal `emitter` fires `"type.variant.position"` on every `value()` call with:
```js
{ value, originalValue, unit, sourceUnit, timestamp, position, distance, variant, type, childId, childName, parentRef }
```
### Example
```js
const { MeasurementContainer } = require('generalFunctions');
const mc = new MeasurementContainer({ windowSize: 5 });
mc.type('pressure').variant('static').position('upstream').value(3.2);
mc.type('pressure').variant('static').position('downstream').value(2.8);
const diff = mc.type('pressure').variant('static').difference();
// diff = { value: -0.4, avgDiff: -0.4, unit: 'mbar', from: 'downstream', to: 'upstream' }
```
---
## ConfigManager
Loads JSON config files from disk and builds merged runtime configs.
**File:** `src/configs/index.js`
### Constructor
```js
new ConfigManager(relPath = '.')
```
`relPath` is resolved relative to the configs directory.
### Methods
| Method | Signature | Returns | Description |
|---|---|---|---|
| `getConfig` | `(configName)` | `object` | Load and parse `<configName>.json` |
| `getAvailableConfigs` | `()` | `string[]` | List config names (without `.json`) |
| `hasConfig` | `(configName)` | `boolean` | Check existence |
| `getBaseConfig` | `()` | `object` | Shortcut for `getConfig('baseConfig')` |
| `buildConfig` | `(nodeName, uiConfig, nodeId, domainConfig?)` | `object` | Merge base schema + UI overrides into a runtime config |
| `createEndpoint` | `(nodeName)` | `string` | Generate browser JS that injects config into `window.EVOLV.nodes` |
### Example
```js
const { configManager } = require('generalFunctions');
const cfg = configManager.buildConfig('measurement', uiConfig, node.id, {
scaling: { enabled: true, inputMin: 0, inputMax: 100 }
});
```
---
## ChildRegistrationUtils
Manages parent-child node relationships: registration, lookup, and structure storage.
**File:** `src/helper/childRegistrationUtils.js`
### Constructor
```js
new ChildRegistrationUtils(mainClass)
```
`mainClass` is the parent node instance (must expose `.logger` and optionally `.registerChild()`).
### Methods
| Method | Signature | Returns | Description |
|---|---|---|---|
| `registerChild` | `(child, positionVsParent, distance?)` | `Promise<any>` | Register a child node under the parent. Sets up parent refs, measurement context, and stores by softwareType/category. |
| `getChildrenOfType` | `(softwareType, category?)` | `array` | Get children filtered by software type and optional category |
| `getChildById` | `(childId)` | `object \| null` | Lookup a single child by its ID |
| `getAllChildren` | `()` | `array` | All registered children |
| `logChildStructure` | `()` | `void` | Debug-print the full child tree |
### Example
```js
const { childRegistrationUtils: CRU } = require('generalFunctions');
const cru = new CRU(parentNode);
await cru.registerChild(sensorNode, 'upstream');
cru.getChildrenOfType('measurement'); // [sensorNode]
```
---
## MenuUtils
Browser-side UI helper for Node-RED editor. Methods are mixed in from separate modules: toggles, data fetching, URL utils, dropdown population, and HTML generation.
**File:** `src/helper/menuUtils.js`
### Constructor
```js
new MenuUtils() // no parameters; sets isCloud=false, configData=null
```
### Key Methods
**Toggles** -- control UI element visibility:
| Method | Signature | Description |
|---|---|---|
| `initBasicToggles` | `(elements)` | Bind log-level row visibility to log checkbox |
| `initMeasurementToggles` | `(elements)` | Bind scaling input rows to scaling checkbox |
| `initTensionToggles` | `(elements, node)` | Show/hide tension row based on interpolation method |
**Data Fetching:**
| Method | Signature | Returns | Description |
|---|---|---|---|
| `fetchData` | `(url, fallbackUrl)` | `Promise<array>` | Fetch JSON from primary URL; fall back on failure |
| `fetchProjectData` | `(url)` | `Promise<object>` | Fetch project-level data |
| `apiCall` | `(node)` | `Promise<object>` | POST to asset-register API |
**URL Construction:**
| Method | Signature | Returns | Description |
|---|---|---|---|
| `getSpecificConfigUrl` | `(nodeName, cloudAPI)` | `{ cloudConfigURL, localConfigURL }` | Build cloud + local config URLs |
| `constructUrl` | `(base, ...paths)` | `string` | Join URL segments safely |
| `constructCloudURL` | `(base, ...paths)` | `string` | Same as `constructUrl`, for cloud endpoints |
**Dropdown Population:**
| Method | Signature | Description |
|---|---|---|
| `fetchAndPopulateDropdowns` | `(configUrls, elements, node)` | Cascading supplier > subType > model > unit dropdowns |
| `populateDropdown` | `(htmlElement, options, node, property, callback?)` | Fill a `<select>` with options and wire change events |
| `populateLogLevelOptions` | `(logLevelSelect, configData, node)` | Populate log-level dropdown from config |
| `populateSmoothingMethods` | `(configUrls, elements, node)` | Populate smoothing method dropdown |
| `populateInterpolationMethods` | `(configUrls, elements, node)` | Populate interpolation method dropdown |
| `generateHtml` | `(htmlElement, options, savedValue)` | Write `<option>` HTML into an element |
---
## EndpointUtils
Server-side helper that serves `MenuUtils` as browser JavaScript via Node-RED HTTP endpoints.
**File:** `src/helper/endpointUtils.js`
### Constructor
```js
new EndpointUtils({ MenuUtilsClass? })
```
| Param | Type | Default | Description |
|---|---|---|---|
| `MenuUtilsClass` | `class` | `MenuUtils` | The MenuUtils constructor to introspect |
### Methods
| Method | Signature | Returns | Description |
|---|---|---|---|
| `createMenuUtilsEndpoint` | `(RED, nodeName, customHelpers?)` | `void` | Register `GET /<nodeName>/resources/menuUtils.js` |
| `generateMenuUtilsCode` | `(nodeName, customHelpers?)` | `string` | Produce the browser JS string (introspects `MenuUtils.prototype`) |
### Example
```js
const EndpointUtils = require('generalFunctions/src/helper/endpointUtils');
const ep = new EndpointUtils();
ep.createMenuUtilsEndpoint(RED, 'valve');
// Browser can now load: GET /valve/resources/menuUtils.js
```
---
## Positions
Canonical constants for parent-child spatial relationships.
**File:** `src/constants/positions.js`
### Exports
```js
const { POSITIONS, POSITION_VALUES, isValidPosition } = require('generalFunctions');
```
| Export | Type | Value |
|---|---|---|
| `POSITIONS` | `object` | `{ UPSTREAM: 'upstream', DOWNSTREAM: 'downstream', AT_EQUIPMENT: 'atEquipment', DELTA: 'delta' }` |
| `POSITION_VALUES` | `string[]` | `['upstream', 'downstream', 'atEquipment', 'delta']` |
| `isValidPosition` | `(pos: string): boolean` | Returns `true` if `pos` is one of the four values |
---
## AssetLoader / loadCurve
Loads JSON asset files (machine curves, etc.) from the datasets directory with LRU caching.
**File:** `datasets/assetData/curves/index.js`
### Singleton convenience functions
```js
const { loadCurve } = require('generalFunctions');
```
| Function | Signature | Returns | Description |
|---|---|---|---|
| `loadCurve` | `(curveType: string)` | `object \| null` | Load `<curveType>.json` from the curves directory |
| `loadAsset` | `(datasetType, assetId)` | `object \| null` | Load any JSON asset by dataset folder and ID |
| `getAvailableAssets` | `(datasetType)` | `string[]` | List asset IDs in a dataset folder |
### AssetLoader class
```js
new AssetLoader(maxCacheSize = 100)
```
Same methods as above (`loadCurve`, `loadAsset`, `getAvailableAssets`), plus `clearCache()`.
### Example
```js
const { loadCurve } = require('generalFunctions');
const curve = loadCurve('hidrostal-H05K-S03R');
// curve = { flow: [...], head: [...], ... } or null
```

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---
title: BEP-Gravitation Optimality Proof
created: 2026-04-07
updated: 2026-04-07
status: proven
tags: [machineGroupControl, optimization, BEP, brute-force]
sources: [nodes/machineGroupControl/test/integration/distribution-power-table.integration.test.js]
---
# BEP-Gravitation vs Brute-Force Global Optimum
## Claim
The machineGroupControl BEP-Gravitation algorithm (with marginal-cost refinement) produces near-optimal flow distribution across a pump group.
## Method
Brute-force exhaustive search: 1000 steps per pump, all 2^n combinations, 0.05% flow tolerance. Station: 2x H05K-S03R + 1x C5-D03R-SHN1 @ ΔP=2000 mbar.
## Results
| Demand | Brute force | machineGroupControl | Gap |
|--------|------------|--------------------|----|
| 10% (71 m3/h) | 17.65 kW | 17.63 kW | -0.10% (MGC wins) |
| 25% (136 m3/h) | 34.33 kW | 34.33 kW | +0.01% |
| 50% (243 m3/h) | 61.62 kW | 61.62 kW | -0.00% |
| 75% (351 m3/h) | 96.01 kW | 96.10 kW | +0.08% |
| 90% (415 m3/h) | 122.17 kW | 122.26 kW | +0.07% |
Maximum deviation: **0.1%** from proven global optimum.
## Why the Refinement Matters
Before the marginal-cost refinement loop, the gap at 50% demand was **2.12%**. The BEP-Gravitation slope estimate pushed 14.6 m3/h to C5 (costing 5.0 kW) when the optimum was 6.5 m3/h (0.59 kW). The refinement loop corrects this by shifting flow from highest actual dP/dQ to lowest until no improvement is possible.
## Stability
Sweep 5-95% in 2% steps: 1 switch (rising), 1 switch (falling), same transition point. No hysteresis. See [[Pump Switching Stability]].
## Computational Cost
0.027-0.153ms median per optimization call (3 pumps, 6 combinations). Uses 0.015% of the 1000ms tick budget.

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---
title: Pump Curve Non-Convexity
created: 2026-04-07
updated: 2026-04-07
status: proven
tags: [curves, interpolation, C5, non-convex]
sources: [nodes/generalFunctions/datasets/assetData/curves/hidrostal-C5-D03R-SHN1.json]
---
# Pump Curve Non-Convexity from Sparse Data
## Finding
The C5-D03R-SHN1 pump's power curve is non-convex after spline interpolation. The marginal cost (dP/dQ) shows a spike-then-valley pattern:
```
C5 dP/dQ across flow range @ ΔP=2000 mbar:
6.4 m3/h → 1,316,610 (high)
10.2 m3/h → 2,199,349 (spikes UP)
17.7 m3/h → 1,114,700 (dropping)
21.5 m3/h → 453,316 (valley — cheapest)
29.0 m3/h → 1,048,375 (rising again)
44.1 m3/h → 1,107,708 (high)
```
## Root Cause
The C5 curve has only **5 raw data points** per pressure level. The monotonic cubic spline (Fritsch-Carlson) creates a smooth curve through all 5 points, but with such sparse data it introduces non-convex regions that don't match the physical convexity of a real pump.
## Impact
- The equal-marginal-cost theorem (KKT conditions) does not apply — it requires convexity
- The BEP-Gravitation slope estimate at a single point can be misleading in non-convex regions
- The marginal-cost refinement loop fixes this by using actual power evaluations instead of slope assumptions
## Recommendation
Add more data points (15-20 per pressure level) to the C5 curve. This would make the spline track the real convex physics more closely, eliminating the non-convex artifacts.

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---
title: NCog Behavior and Limitations
created: 2026-04-07
updated: 2026-04-07
status: evolving
tags: [rotatingMachine, NCog, BEP, efficiency]
sources: [nodes/rotatingMachine/src/specificClass.js]
---
# NCog — Normalized Center of Gravity
## What It Is
NCog is a 0-1 value indicating where on its flow range a pump operates most efficiently. Computed per tick from the current pressure slice of the 3D pump curve.
```
BEP_flow = minFlow + (maxFlow - minFlow) * NCog
```
## How It's Computed
1. Pressure sensors update → `getMeasuredPressure()` computes differential
2. `fDimension` locks the 2D slice at current system pressure
3. `calcCog()` computes Q/P (specific flow) across the curve
4. Peak Q/P index → `NCog = (flowAtPeak - flowMin) / (flowMax - flowMin)`
## When NCog is Meaningful
NCog requires **differential pressure** (upstream + downstream). With only one pressure sensor, fDimension is the raw sensor value (too high), producing a monotonic Q/P curve and NCog = 0.
| Condition | NCog for H05K | NCog for C5 |
|-----------|--------------|-------------|
| ΔP = 400 mbar | 0.333 | 0.355 |
| ΔP = 1000 mbar | 0.000 | 0.000 |
| ΔP = 1500 mbar | 0.135 | 0.000 |
| ΔP = 2000 mbar | 0.351 | 0.000 |
## Why NCog = 0 Happens
For variable-speed centrifugal pumps, Q/P is monotonically decreasing when the affinity laws dominate (P ∝ Q³). At certain pressure levels, the spline interpolation preserves this monotonicity and the peak is always at index 0 (minimum flow).
## How the machineGroupControl Uses NCog
The BEP-Gravitation algorithm seeds each pump at its BEP flow, then redistributes using slope-based weights + marginal-cost refinement. Even when NCog = 0, the slope redistribution produces near-optimal results because it uses actual power evaluations.
> [!warning] Disproven: NCog as proportional weight
> Using NCog directly as a flow-distribution weight (`flow = NCog/totalNCog * Qd`) is wrong. It starves pumps with NCog = 0 and overloads high-NCog pumps. See `calcBestCombination` in machineGroupControl.

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---
title: Open Issues — EVOLV Codebase
created: 2026-03-01
updated: 2026-04-07
status: evolving
tags: [issues, backlog]
---
# Open Issues — EVOLV Codebase
Issues identified during codebase scan (2026-03-12). Create these on Gitea when ready.
---
## Issue 1: Restore diffuser node implementation
**Labels:** `enhancement`, `node`
**Priority:** Medium
The `nodes/diffuser/` directory contains only `.git`, `LICENSE`, and `README.md` — no implementation. There was a previous experimental version. Needs:
- Retrieve original diffuser logic from user/backup
- Rebuild to current three-layer architecture (wrapper `.js` + `src/nodeClass.js` + `src/specificClass.js`)
- Use `require('generalFunctions')` barrel imports
- Add config JSON in `generalFunctions/src/configs/diffuser.json`
- Register under category `'EVOLV'` with appropriate S88 color
- Add tests
**Blocked on:** User providing original diffuser logic/requirements.
---
## Issue 2: Relocate prediction/ML modules to external service
**Labels:** `enhancement`, `architecture`
**Priority:** Medium
TensorFlow-based influent prediction code was removed from monster node (was broken/incomplete). The prediction functionality needs a new home:
- LSTM model for 24-hour flow prediction based on precipitation data
- Standardization constants: hours `(mean=11.504, std=6.922)`, precipitation `(mean=0.090, std=0.439)`, response `(mean=1188.01, std=1024.19)`
- Model was served from `http://127.0.0.1:1880/generalFunctions/datasets/lstmData/tfjs_model/`
- Consider: separate microservice, Python-based inference, or ONNX runtime
- Monster node should accept predictions via `model_prediction` message topic from external service
**Related files removed:** `monster_class.js` methods `get_model_prediction()`, `model_loader()`
---
## Issue 3: Modernize monster node to three-layer architecture
**Labels:** `refactor`, `node`
**Priority:** Low
Monster node uses old-style structure (`dependencies/monster/` instead of `src/`). Should be refactored:
- Move `dependencies/monster/monster_class.js``src/specificClass.js`
- Create `src/nodeClass.js` adapter (extract from `monster.js`)
- Slim down `monster.js` to standard wrapper pattern
- Move `monsterConfig.json``generalFunctions/src/configs/monster.json`
- Remove `modelLoader.js` (TF dependency removed)
- Add unit tests
**Note:** monster_class.js is ~500 lines of domain logic. Keep sampling_program(), aggregation, AQUON integration intact.
---
## Issue 4: Clean up inline test/demo code in specificClass files
**Labels:** `cleanup`
**Priority:** Low
Several specificClass files have test/demo code after `module.exports`:
- `pumpingStation/src/specificClass.js` (lines 478-697): Demo code guarded with `require.main === module` — acceptable but could move to `test/` or `examples/`
- `machineGroupControl/src/specificClass.js` (lines 969-1158): Block-commented test code with `makeMachines()` — dead code, could be removed or moved to test file
---
## Issue 5: DashboardAPI node improvements
**Labels:** `enhancement`, `security`
**Priority:** Low
- Bearer token now relies on `GRAFANA_TOKEN` env var (hardcoded token was removed for security)
- Ensure deployment docs mention setting `GRAFANA_TOKEN`
- `dashboardapi_class.js` still has `console.log` calls (lines 154, 178) — should use logger
- Node doesn't follow three-layer architecture (older style)

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---
title: Pump Switching Stability
created: 2026-04-07
updated: 2026-04-07
status: proven
tags: [machineGroupControl, stability, switching]
sources: [nodes/machineGroupControl/test/integration/ncog-distribution.integration.test.js]
---
# Pump Switching Stability
## Concern
Frequent pump on/off cycling causes mechanical wear, water hammer, and process disturbance.
## Test Method
Sweep demand from 5% to 95% in 2% steps, count combination changes. Repeat in reverse to check for hysteresis.
## Results — Mixed Station (2x H05K + 1x C5)
Rising 5→95%: **1 switch** at 27% (H05K-1+C5 → all 3)
Falling 95→5%: **1 switch** at 25% (all 3 → H05K-1+C5)
Same transition zone, no hysteresis.
## Results — Equal Station (3x H05K)
Rising 5→95%: **2 switches**
- 19%: 1 pump → 2 pumps
- 37%: 2 pumps → 3 pumps
Clean monotonic transitions, no flickering.
## Why It's Stable
The marginal-cost refinement only adjusts flow distribution WITHIN a combination — it never changes which pumps are selected. Combination selection is driven by total power comparison, which changes smoothly with demand.

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---
title: Wiki Index
updated: 2026-04-07
---
# EVOLV Project Wiki Index
## Overview
- [Project Overview](overview.md) — what works, what doesn't, node inventory
- [Metrics Dashboard](metrics.md) — test counts, power comparison, performance
- [Knowledge Graph](knowledge-graph.yaml) — structured data, machine-queryable
## Architecture
- [Node Architecture](architecture/node-architecture.md) — three-layer pattern, ports, mermaid diagrams
- [3D Pump Curves](architecture/3d-pump-curves.md) — predict class, spline interpolation, unit chain
- [Group Optimization](architecture/group-optimization.md) — BEP-Gravitation, combination selection, marginal-cost refinement
- [Platform Overview](architecture/platform-overview.md) — edge/site/central layering, telemetry model
- [Deployment Blueprint](architecture/deployment-blueprint.md) — Docker topology, rollout order
- [Stack Review](architecture/stack-review.md) — full stack architecture assessment
## Core Concepts
- [generalFunctions API](concepts/generalfunctions-api.md) — logger, MeasurementContainer, configManager, etc.
## Findings
- [BEP-Gravitation Proof](findings/bep-gravitation-proof.md) — within 0.1% of brute-force optimum (proven)
- [NCog Behavior](findings/ncog-behavior.md) — when NCog works, when it's zero, how it's used (evolving)
- [Curve Non-Convexity](findings/curve-non-convexity.md) — C5 sparse data artifacts (proven)
- [Pump Switching Stability](findings/pump-switching-stability.md) — 1-2 transitions, no hysteresis (proven)
- [Open Issues (2026-03)](findings/open-issues-2026-03.md) — diffuser, monster refactor, ML relocation, etc.
## Sessions
- [2026-04-07: Production Hardening](sessions/2026-04-07-production-hardening.md) — rotatingMachine + machineGroupControl
## Other Documentation (outside wiki)
- `CLAUDE.md` — Claude Code project guide (root)
- `AGENTS.md` — agent routing table, orchestrator policy (root, used by `.claude/agents/`)
- `.agents/` — skills, decisions, function-anchors, improvements
- `.claude/` — Claude Code agents and rules
- `manuals/node-red/` — FlowFuse dashboard and Node-RED reference docs
## Not Yet Documented
- Parent-child registration protocol (Port 2 handshake)
- Prediction health scoring algorithm (confidence 0-1)
- MeasurementContainer internals (chainable API, delta compression)
- PID controller implementation
- reactor / settler / monster / measurement / valve nodes
- pumpingStation node (uses rotatingMachine children)
- InfluxDB telemetry format (Port 1)

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# Knowledge Graph — structured data with provenance
# Every claim has: value, source (file/commit), date, status
# ── TESTS ──
tests:
rotatingMachine:
basic:
count: 10
passing: 10
file: nodes/rotatingMachine/test/basic/
date: 2026-04-07
integration:
count: 16
passing: 16
file: nodes/rotatingMachine/test/integration/
date: 2026-04-07
edge:
count: 17
passing: 17
file: nodes/rotatingMachine/test/edge/
date: 2026-04-07
machineGroupControl:
basic:
count: 1
passing: 1
file: nodes/machineGroupControl/test/basic/
date: 2026-04-07
integration:
count: 3
passing: 3
file: nodes/machineGroupControl/test/integration/
date: 2026-04-07
edge:
count: 1
passing: 1
file: nodes/machineGroupControl/test/edge/
date: 2026-04-07
# ── METRICS ──
metrics:
optimization_gap_to_brute_force:
value: "0.1% max"
source: distribution-power-table.integration.test.js
date: 2026-04-07
conditions: "3 pumps, 1000-step brute force, 0.05% flow tolerance"
optimization_time_median:
value: "0.027-0.153ms"
source: benchmark script
date: 2026-04-07
conditions: "3 pumps, 6 combinations, BEP-Gravitation + refinement"
pump_switching_stability:
value: "1-2 transitions across 5-95% demand"
source: stability sweep
date: 2026-04-07
conditions: "2% demand steps, both ascending and descending"
pump_curves:
H05K-S03R:
pressure_levels: 33
pressure_range: "700-3900 mbar"
flow_range: "28-227 m3/h (at 2000 mbar)"
data_points_per_level: 5
anomalies_fixed: 3
date: 2026-04-07
C5-D03R-SHN1:
pressure_levels: 26
pressure_range: "400-2900 mbar"
flow_range: "6-53 m3/h"
data_points_per_level: 5
non_convex: true
date: 2026-04-07
# ── DISPROVEN CLAIMS ──
disproven:
ncog_proportional_weight:
claimed: "Distributing flow proportional to NCog weights is optimal"
claimed_date: 2026-04-07
disproven_date: 2026-04-07
evidence_for: "Simple implementation in calcBestCombination"
evidence_against: "Starves small pumps (NCog=0 gets zero flow), overloads large pumps at high demand. BEP-target + scale is correct approach."
root_cause: "NCog is a position indicator (0-1 on flow range), not a distribution weight"
efficiency_rounding:
claimed: "Math.round(flow/power * 100) / 100 preserves BEP signal"
claimed_date: pre-2026-04-07
disproven_date: 2026-04-07
evidence_for: "Removes floating point noise"
evidence_against: "In canonical units (m3/s and W), Q/P ratio is ~1e-6. Rounding to 2 decimals produces 0 for all points. NCog, cog, BEP all became 0."
root_cause: "Canonical units make the ratio very small — rounding destroys the signal"
equal_marginal_cost_optimal:
claimed: "Equal dP/dQ across pumps guarantees global power minimum"
claimed_date: 2026-04-07
disproven_date: 2026-04-07
evidence_for: "KKT conditions for convex functions"
evidence_against: "C5 pump curve is non-convex (dP/dQ dips from 1.3M to 453K then rises). Sparse data (5 points) causes spline artifacts."
root_cause: "Convexity assumption fails with interpolated curves from sparse data"
# ── PERFORMANCE ──
performance:
mgc_optimization:
median_ms: 0.09
p99_ms: 0.5
tick_budget_pct: 0.015
source: benchmark script
date: 2026-04-07
predict_y_call:
complexity: "O(log n), ~O(1) for 5-10 data points"
source: predict_class.js
# ── ARCHITECTURE ──
architecture:
canonical_units:
pressure: Pa
flow: "m3/s"
power: W
temperature: K
output_units:
pressure: mbar
flow: "m3/h"
power: kW
temperature: C
node_count: 13
submodules: 12
# ── BUGS FIXED ──
bugs_fixed:
flowmovement_unit_mismatch:
severity: critical
description: "machineGroupControl sent flow in canonical (m3/s) but rotatingMachine flowmovement expected output units (m3/h). Every pump stayed at minimum."
fix: "_canonicalToOutputFlow() conversion before all flowmovement calls"
commit: d55f401
date: 2026-04-07
emergencystop_case:
severity: critical
description: "specificClass called executeSequence('emergencyStop') but config key was 'emergencystop'"
fix: "Lowercase to match config"
commit: 07af7ce
date: 2026-04-07
curve_data_anomalies:
severity: high
description: "3 flow values leaked into power column in hidrostal-H05K-S03R.json at pressures 1600, 3200, 3300 mbar"
fix: "Linearly interpolated correct values from adjacent levels"
commit: 024db55
date: 2026-04-07
efficiency_rounding:
severity: high
description: "Math.round(Q/P * 100) / 100 destroyed all NCog/BEP calculations"
fix: "Removed rounding, use raw ratio"
commit: 07af7ce
date: 2026-04-07
absolute_scaling_bug:
severity: high
description: "handleInput compared demandQout (always 0) instead of demandQ for max cap"
fix: "Reordered conditions, use demandQ throughout"
commit: d55f401
date: 2026-04-07
# ── TIMELINE ──
timeline:
- {date: 2026-04-07, commit: 024db55, desc: "Fix 3 anomalous power values in hidrostal curve"}
- {date: 2026-04-07, commit: 07af7ce, desc: "rotatingMachine production hardening: safety + prediction + 43 tests"}
- {date: 2026-04-07, commit: d55f401, desc: "machineGroupControl: unit fix + refinement + stability tests"}
- {date: 2026-04-07, commit: fd9d167, desc: "Update EVOLV submodule refs"}

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---
title: Wiki Log
---
# Wiki Log
## [2026-04-07] Wiki initialized | Full codebase scan + session findings
- Created overview, metrics, knowledge graph from production hardening session
- Architecture pages: 3D pump curves, group optimization
- Findings: BEP-Gravitation proof, NCog behavior, curve non-convexity, switching stability
- Session log: 2026-04-07 production hardening

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---
title: Metrics Dashboard
updated: 2026-04-07
---
# Metrics Dashboard
All numbers with provenance. Source of truth: `knowledge-graph.yaml`.
## Test Results
| Suite | Pass/Total | File | Date |
|---|---|---|---|
| rotatingMachine basic | 10/10 | test/basic/*.test.js | 2026-04-07 |
| rotatingMachine integration | 16/16 | test/integration/*.test.js | 2026-04-07 |
| rotatingMachine edge | 17/17 | test/edge/*.test.js | 2026-04-07 |
| machineGroupControl basic | 1/1 | test/basic/*.test.js | 2026-04-07 |
| machineGroupControl integration | 3/3 | test/integration/*.test.js | 2026-04-07 |
| machineGroupControl edge | 1/1 | test/edge/*.test.js | 2026-04-07 |
## Performance — machineGroupControl Optimization
| Metric | Value | Source | Date |
|---|---|---|---|
| BEP-Gravitation + refinement (3 pumps, 6 combos) | 0.027-0.153ms median | benchmark script | 2026-04-07 |
| Tick loop budget used | 0.015% of 1000ms | benchmark script | 2026-04-07 |
| Max gap from brute-force optimum (1000 steps) | 0.1% | [[BEP Gravitation Proof]] | 2026-04-07 |
| Pump switching stability (5-95% sweep) | 1-2 transitions, no hysteresis | stability sweep | 2026-04-07 |
## Performance — rotatingMachine Prediction
| Metric | Value | Source |
|---|---|---|
| predict.y(x) call | O(log n), effectively O(1) | predict_class.js |
| buildAllFxyCurves | sub-10ms for typical curves | predict_class.js |
| Curve cache | full caching of splines + calculated curves | predict_class.js |
## Power Comparison: machineGroupControl vs Baselines
Station: 2x H05K-S03R + 1x C5-D03R-SHN1 @ ΔP=2000 mbar
| Demand | Qd (m3/h) | machineGroupControl | Spillover | Equal-all | Gap to optimum |
|--------|-----------|--------------------|-----------|-----------|----|
| 10% | 71 | 17.6 kW | 22.0 kW (+25%) | 23.9 kW (+36%) | -0.10% |
| 25% | 136 | 34.6 kW | 36.3 kW (+5%) | 39.1 kW (+13%) | +0.01% |
| 50% | 243 | 62.9 kW | 73.8 kW (+17%) | 64.2 kW (+2%) | -0.00% |
| 75% | 351 | 96.8 kW | 102.9 kW (+6%) | 99.6 kW (+3%) | +0.08% |
| 90% | 415 | 122.8 kW | 123.0 kW (0%) | 123.0 kW (0%) | +0.07% |
## Disproven Claims
| Claim | Evidence For | Evidence Against | Date |
|---|---|---|---|
| NCog as proportional weight works | Simple implementation | Starves small pumps, overloads large ones at high demand | 2026-04-07 |
| Q/P ratio always has mid-range peak | Expected from pump physics | Monotonically decreasing at high ΔP due to affinity laws (P ∝ Q³) | 2026-04-07 |
| Equal-marginal-cost solver is optimal | KKT theory for convex curves | C5 curve is non-convex due to sparse data points (5 per pressure) | 2026-04-07 |

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---
title: EVOLV Project Overview
created: 2026-04-07
updated: 2026-04-07
status: evolving
tags: [overview, wastewater, node-red, isa-88]
---
# EVOLV — Edge-Layer Evolution for Optimized Virtualization
Industrial automation platform for wastewater treatment, built as custom Node-RED nodes by Waterschap Brabantse Delta R&D. Follows ISA-88 (S88) batch control standard.
## Stack
Node.js, Node-RED, InfluxDB (time-series), TensorFlow.js (prediction), CoolProp (thermodynamics). No build step — pure Node.js.
## Architecture
Each node follows a 3-tier pattern:
1. **Entry file** — registers with Node-RED, admin HTTP endpoints
2. **nodeClass** — Node-RED adapter (tick loop, message routing, status)
3. **specificClass** — pure domain logic (physics, state machines, predictions)
3-port output convention: Port 0 = process data, Port 1 = InfluxDB telemetry, Port 2 = parent-child registration.
## What Works
| Capability | Status | Evidence |
|---|---|---|
| rotatingMachine state machine | proven | 76 tests passing, all sequences verified |
| 3D pump curve prediction (flow/power from pressure+control) | proven | Monotonic cubic spline interpolation across 34 pressure levels |
| NCog / BEP tracking per pump | proven | Produces meaningful values with differential pressure |
| machineGroupControl BEP-Gravitation | proven | Within 0.1% of brute-force global optimum |
| Combination selection (2^n exhaustive) | proven | Stable: 1-2 switches across 5-95% demand sweep, no hysteresis |
| Prediction health scoring | proven | NRMSE drift, pressure source penalties, edge detection |
| Hydraulic efficiency (η = QΔP/P) | proven | CoolProp density, head calculation |
| Unit conversion chain | proven | No double-conversion, clean layer separation |
## What Doesn't Work (honestly)
| Issue | Status | Evidence |
|---|---|---|
| C5 curve non-convexity | evolving | 5 raw data points cause spline artifacts, dP/dQ non-monotonic |
| NCog = 0 at high ΔP | evolving | At ΔP > 800 mbar for H05K, Q/P is monotonically decreasing |
| calcBestCombination (NCog-weight mode) | disproven | Uses NCog as proportional weight instead of BEP target |
## Current Scale
- 13 custom Node-RED nodes (12 submodules + generalFunctions)
- rotatingMachine: 76 tests, 1563 lines domain logic
- machineGroupControl: 90+ tests, 1400+ lines domain logic
- 3 real pump curves: H05K-S03R, C5-D03R-SHN1, ECDV
- Tick loop: 1000ms interval
## Node Inventory
| Node | Purpose | Test Status |
|------|---------|-------------|
| rotatingMachine | Pump/compressor control | 76 tests (full) |
| machineGroupControl | Multi-pump optimization | 90 tests (full) |
| pumpingStation | Multi-pump station | needs review |
| valve | Valve modeling | needs review |
| valveGroupControl | Valve group coordination | needs review |
| reactor | Biological reactor (ASM kinetics) | needs review |
| settler | Secondary clarifier | needs review |
| monster | Multi-parameter bio monitoring | needs review |
| measurement | Sensor signal conditioning | needs review |
| diffuser | Aeration system control | needs review |
| dashboardAPI | InfluxDB + FlowFuse charts | needs review |
| generalFunctions | Shared utilities | partial |

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---
title: "Session: Production Hardening rotatingMachine + machineGroupControl"
created: 2026-04-07
updated: 2026-04-07
status: proven
tags: [session, rotatingMachine, machineGroupControl, testing]
---
# 2026-04-07 — Production Hardening
## Scope
Full code review and hardening of rotatingMachine and machineGroupControl nodes for production readiness.
## Key Discoveries
1. **Efficiency rounding destroyed NCog/BEP**`Math.round(Q/P * 100) / 100` in canonical units (m3/s and W) produces ratios ~1e-6 that all round to 0. All NCog, cog, and BEP calculations were non-functional. Fixed by removing rounding.
2. **flowmovement unit mismatch** — machineGroupControl computed flow in canonical (m3/s) and sent it directly to rotatingMachine which expected output units (m3/h). Every pump stayed at minimum flow. Fixed with `_canonicalToOutputFlow()`.
3. **emergencyStop case mismatch**`"emergencyStop"` vs config key `"emergencystop"`. Emergency stop never worked. Fixed to lowercase.
4. **Curve data anomalies** — 3 flow values leaked into power columns in hidrostal-H05K-S03R.json at pressures 1600, 3200, 3300 mbar. Fixed with interpolated values.
5. **C5 pump non-convexity** — 5 data points per pressure level produces non-convex spline. The marginal-cost refinement loop closes the gap to brute-force optimum from 2.1% to 0.1%.
## Changes Made
### rotatingMachine (3 files, 7 test files)
- Async input handler, null guards, listener cleanup, tick loop race fix
- showCoG() implementation, efficiency variant fix, curve anomaly detection
- 43 new tests (76 total)
### machineGroupControl (1 file, 2 test files)
- `_canonicalToOutputFlow()` on all flowmovement calls
- Absolute scaling bug, empty Qd block, empty-machines guards
- Marginal-cost refinement loop in BEP-Gravitation
- Missing flowmovement after startup in equalFlowControl
### generalFunctions (1 file)
- 3 curve data fixes in hidrostal-H05K-S03R.json
## Verification
- 90 tests passing across both nodes
- machineGroupControl within 0.1% of brute-force global optimum (1000-step search)
- Pump switching stable: 1-2 transitions across full demand range, no hysteresis
- Optimization cost: 0.03-0.15ms per call (0.015% of tick budget)

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#!/bin/bash
# Wiki health check — find issues
# Usage: ./wiki/tools/lint.sh
WIKI_DIR="$(dirname "$(dirname "$(readlink -f "$0")")")"
echo "=== Wiki Health Check ==="
echo ""
echo "-- Page count --"
find "$WIKI_DIR" -name "*.md" -not -path "*/tools/*" | wc -l
echo " total pages"
echo ""
echo "-- Orphans (not linked from other pages) --"
for f in $(find "$WIKI_DIR" -name "*.md" -not -name "index.md" -not -name "log.md" -not -name "SCHEMA.md" -not -path "*/tools/*"); do
basename=$(basename "$f" .md)
refs=$(grep -rl --include="*.md" "$basename" "$WIKI_DIR" 2>/dev/null | grep -v "$f" | wc -l)
if [ "$refs" -eq 0 ]; then
echo " ORPHAN: $f"
fi
done
echo ""
echo "-- Status distribution --"
for status in proven disproven evolving speculative; do
count=$(grep -rl "status: $status" "$WIKI_DIR" --include="*.md" 2>/dev/null | wc -l)
echo " $status: $count"
done
echo ""
echo "-- Pages missing frontmatter --"
for f in $(find "$WIKI_DIR" -name "*.md" -not -name "SCHEMA.md" -not -path "*/tools/*"); do
if ! head -1 "$f" | grep -q "^---"; then
echo " NO FRONTMATTER: $f"
fi
done
echo ""
echo "-- Index completeness --"
indexed=$(grep -c '\[.*\](.*\.md)' "$WIKI_DIR/index.md" 2>/dev/null)
total=$(find "$WIKI_DIR" -name "*.md" -not -name "index.md" -not -name "log.md" -not -name "SCHEMA.md" -not -path "*/tools/*" | wc -l)
echo " Indexed: $indexed / Total: $total"
echo ""
echo "=== Done ==="

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#!/usr/bin/env python3
"""Wiki Knowledge Graph query tool.
Queryable interface over knowledge-graph.yaml + wiki pages.
Usable by both humans (CLI) and LLM agents (imported).
Usage:
python wiki/tools/query.py health # project health
python wiki/tools/query.py entity "search term" # everything about an entity
python wiki/tools/query.py metric "search term" # find metrics
python wiki/tools/query.py status "proven" # all pages with status
python wiki/tools/query.py test "test name" # test results
python wiki/tools/query.py search "keyword" # full-text search
python wiki/tools/query.py related "page-name" # pages linking to/from
python wiki/tools/query.py timeline # commit timeline
"""
import yaml
import os
import sys
import re
from pathlib import Path
WIKI_DIR = Path(__file__).parent.parent
GRAPH_PATH = WIKI_DIR / 'knowledge-graph.yaml'
def load_graph():
if not GRAPH_PATH.exists():
return {}
with open(GRAPH_PATH) as f:
return yaml.safe_load(f) or {}
def load_all_pages():
pages = {}
for md_path in WIKI_DIR.rglob('*.md'):
if 'tools' in str(md_path):
continue
rel = md_path.relative_to(WIKI_DIR)
content = md_path.read_text()
meta = {}
if content.startswith('---'):
parts = content.split('---', 2)
if len(parts) >= 3:
try:
meta = yaml.safe_load(parts[1]) or {}
except yaml.YAMLError:
pass
content = parts[2]
links = re.findall(r'\[\[([^\]]+)\]\]', content)
pages[str(rel)] = {
'path': str(rel), 'meta': meta, 'content': content,
'links': links, 'title': meta.get('title', str(rel)),
'status': meta.get('status', 'unknown'),
'tags': meta.get('tags', []),
}
return pages
def flatten_graph(graph, prefix=''):
items = []
if isinstance(graph, dict):
for k, v in graph.items():
path = f"{prefix}.{k}" if prefix else k
if isinstance(v, (dict, list)):
items.extend(flatten_graph(v, path))
else:
items.append((path, str(v)))
elif isinstance(graph, list):
for i, v in enumerate(graph):
path = f"{prefix}[{i}]"
if isinstance(v, (dict, list)):
items.extend(flatten_graph(v, path))
else:
items.append((path, str(v)))
return items
def cmd_health():
graph = load_graph()
pages = load_all_pages()
statuses = {}
for p in pages.values():
s = p['status']
statuses[s] = statuses.get(s, 0) + 1
tests = graph.get('tests', {})
total_pass = sum(t.get('passing', 0) for t in tests.values() if isinstance(t, dict))
total_count = sum(t.get('count', t.get('total', 0)) for t in tests.values() if isinstance(t, dict))
disproven = len(graph.get('disproven', {}))
timeline = len(graph.get('timeline', []))
# Count broken links
all_titles = set()
for p in pages.values():
all_titles.add(p['title'].lower())
all_titles.add(p['path'].lower().replace('.md', '').split('/')[-1])
broken = sum(1 for p in pages.values() for link in p['links']
if not any(link.lower().replace('-', ' ') in t or t in link.lower().replace('-', ' ')
for t in all_titles))
print(f"Wiki Health:\n")
print(f" Pages: {len(pages)}")
print(f" Statuses: {statuses}")
if total_count:
print(f" Tests: {total_pass}/{total_count} passing")
print(f" Disproven: {disproven} claims tracked")
print(f" Timeline: {timeline} commits")
print(f" Broken links: {broken}")
def cmd_entity(query):
graph = load_graph()
pages = load_all_pages()
q = query.lower()
print(f"Entity: '{query}'\n")
flat = flatten_graph(graph)
hits = [(p, v) for p, v in flat if q in p.lower() or q in v.lower()]
if hits:
print(" -- Knowledge Graph --")
for path, value in hits[:20]:
print(f" {path}: {value}")
print("\n -- Wiki Pages --")
for rel, page in sorted(pages.items()):
if q in page['content'].lower() or q in page['title'].lower():
lines = [l.strip() for l in page['content'].split('\n')
if q in l.lower() and l.strip()]
print(f" {rel} ({page['status']})")
for line in lines[:3]:
print(f" {line[:100]}")
def cmd_metric(query):
flat = flatten_graph(load_graph())
q = query.lower()
print(f"Metrics matching '{query}':\n")
found = 0
for path, value in flat:
if q in path.lower() or q in value.lower():
print(f" {path}: {value}")
found += 1
if not found:
print(" (no matches)")
def cmd_status(status):
pages = load_all_pages()
graph = load_graph()
print(f"Status: '{status}'\n")
for rel, page in sorted(pages.items()):
if page['status'] == status:
print(f" {page['title']} ({rel})")
if page['tags']:
print(f" tags: {page['tags']}")
if status == 'disproven' and 'disproven' in graph:
print("\n -- Disproven Claims --")
for name, claim in graph['disproven'].items():
print(f" {name}:")
for k, v in claim.items():
print(f" {k}: {v}")
def cmd_test(query):
tests = load_graph().get('tests', {})
q = query.lower()
print(f"Test results for '{query}':\n")
for name, suite in tests.items():
if q in name.lower() or q in str(suite).lower():
print(f" -- {name} --")
if isinstance(suite, dict):
for k, v in suite.items():
if isinstance(v, dict):
print(f" {k}: {v.get('passing', '?')}/{v.get('total', '?')}")
elif k in ('count', 'passing', 'accuracy', 'file', 'date'):
print(f" {k}: {v}")
elif k == 'results' and isinstance(v, list):
for r in v:
mark = '' if r.get('result') == 'pass' else ''
print(f" {mark} {r.get('test', '?')}")
def cmd_search(query):
flat = flatten_graph(load_graph())
pages = load_all_pages()
q = query.lower()
print(f"Search: '{query}'\n")
graph_hits = [(p, v) for p, v in flat if q in v.lower()]
if graph_hits:
print(f" -- Knowledge Graph ({len(graph_hits)} hits) --")
for p, v in graph_hits[:10]:
print(f" {p}: {v[:80]}")
page_hits = sorted(
[(page['content'].lower().count(q), rel, page['title'])
for rel, page in pages.items() if q in page['content'].lower()],
reverse=True)
if page_hits:
print(f"\n -- Wiki Pages ({len(page_hits)} pages) --")
for count, rel, title in page_hits:
print(f" {count:3d}x {title} ({rel})")
def cmd_related(page_name):
pages = load_all_pages()
q = page_name.lower().replace('-', ' ').replace('_', ' ')
print(f"Related to: '{page_name}'\n")
print(" -- Links TO --")
for rel, page in sorted(pages.items()):
for link in page['links']:
if q in link.lower().replace('-', ' '):
print(f" <- {page['title']} ({rel})")
break
print("\n -- Links FROM --")
for rel, page in pages.items():
if q in page['title'].lower().replace('-', ' '):
for link in page['links']:
print(f" -> [[{link}]]")
break
def cmd_timeline():
for entry in load_graph().get('timeline', []):
print(f" [{entry.get('date')}] {entry.get('commit', '?')}: {entry.get('desc', '?')}")
COMMANDS = {
'health': cmd_health, 'entity': cmd_entity, 'metric': cmd_metric,
'status': cmd_status, 'test': cmd_test, 'search': cmd_search,
'related': cmd_related, 'timeline': cmd_timeline,
}
if __name__ == '__main__':
if len(sys.argv) < 2 or sys.argv[1] not in COMMANDS:
print(f"Usage: query.py <{'|'.join(COMMANDS)}> [args]")
sys.exit(1)
cmd = sys.argv[1]
args = sys.argv[2:]
if cmd in ('timeline', 'health'):
COMMANDS[cmd]()
elif args:
COMMANDS[cmd](' '.join(args))
else:
print(f"Usage: query.py {cmd} <query>")

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#!/bin/bash
# Search the wiki — usable by both humans and LLM agents
# Usage: ./wiki/tools/search.sh "query" [--files-only]
WIKI_DIR="$(dirname "$(dirname "$(readlink -f "$0")")")"
QUERY="$1"
MODE="${2:---content}"
if [ -z "$QUERY" ]; then
echo "Usage: $0 <query> [--files-only]"
exit 1
fi
if [ "$MODE" = "--files-only" ]; then
grep -rl --include="*.md" --include="*.yaml" "$QUERY" "$WIKI_DIR" 2>/dev/null | sort
else
grep -rn --include="*.md" --include="*.yaml" --color=auto -i "$QUERY" "$WIKI_DIR" 2>/dev/null
fi