Odoo ERP ported to Go — complete backend + original OWL frontend
Full port of Odoo's ERP system from Python to Go, with the original Odoo JavaScript frontend (OWL framework) running against the Go server. Backend (10,691 LoC Go): - Custom ORM: CRUD, domains→SQL with JOINs, computed fields, sequences - 93 models across 14 modules (base, account, sale, stock, purchase, hr, project, crm, fleet, product, l10n_de, google_address/translate/calendar) - Auth with bcrypt + session cookies - Setup wizard (company, SKR03 chart, admin, demo data) - Double-entry bookkeeping constraint - Sale→Invoice workflow (confirm SO → generate invoice → post) - SKR03 chart of accounts (110 accounts) + German taxes (USt/VSt) - Record rules (multi-company filter) - Google integrations as opt-in modules (Maps, Translate, Calendar) Frontend: - Odoo's original OWL webclient (503 JS modules, 378 XML templates) - JS transpiled via Odoo's js_transpiler (ES modules → odoo.define) - SCSS compiled to CSS (675KB) via dart-sass - XML templates compiled to registerTemplate() JS calls - Static file serving from Odoo source addons - Login page, session management, menu navigation - Contacts list view renders with real data from PostgreSQL Infrastructure: - 14MB single binary (CGO_ENABLED=0) - Docker Compose (Go server + PostgreSQL 16) - Zero phone-home (no outbound calls to odoo.com) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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112
pkg/modules/graph.go
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112
pkg/modules/graph.go
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package modules
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import (
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"fmt"
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"odoo-go/pkg/orm"
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)
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// ResolveDependencies returns modules in topological order (dependencies first).
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// Mirrors: odoo/modules/module_graph.py Graph.add_modules()
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//
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// Uses Kahn's algorithm for topological sort.
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func ResolveDependencies(moduleNames []string) ([]string, error) {
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// Build adjacency list and in-degree map
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inDegree := make(map[string]int)
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dependents := make(map[string][]string) // module → modules that depend on it
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// Initialize all requested modules
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for _, name := range moduleNames {
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if _, exists := inDegree[name]; !exists {
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inDegree[name] = 0
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}
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}
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// Build graph from dependencies
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for _, name := range moduleNames {
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m := Get(name)
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if m == nil {
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return nil, fmt.Errorf("modules: %q not found", name)
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}
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for _, dep := range m.Depends {
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// Ensure dependency is in our set
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if _, exists := inDegree[dep]; !exists {
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inDegree[dep] = 0
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}
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inDegree[name]++
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dependents[dep] = append(dependents[dep], name)
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}
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}
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// Kahn's algorithm
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var queue []string
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for name, degree := range inDegree {
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if degree == 0 {
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queue = append(queue, name)
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}
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}
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var sorted []string
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for len(queue) > 0 {
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// Pop first element
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current := queue[0]
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queue = queue[1:]
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sorted = append(sorted, current)
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// Reduce in-degree for dependents
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for _, dep := range dependents[current] {
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inDegree[dep]--
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if inDegree[dep] == 0 {
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queue = append(queue, dep)
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}
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}
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}
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// Check for circular dependencies
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if len(sorted) != len(inDegree) {
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var circular []string
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for name, degree := range inDegree {
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if degree > 0 {
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circular = append(circular, name)
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}
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}
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return nil, fmt.Errorf("modules: circular dependency detected among: %v", circular)
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}
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return sorted, nil
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}
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// LoadModules initializes all modules in dependency order.
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// Mirrors: odoo/modules/loading.py load_modules()
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func LoadModules(moduleNames []string) error {
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sorted, err := ResolveDependencies(moduleNames)
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if err != nil {
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return err
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}
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// Phase 1: Call Init() for each module (registers models and fields)
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for _, name := range sorted {
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m := Get(name)
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if m == nil {
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continue
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}
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if m.Init != nil {
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m.Init()
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}
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}
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// Phase 2: Call PostInit() after all models are registered
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for _, name := range sorted {
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m := Get(name)
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if m == nil {
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continue
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}
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if m.PostInit != nil {
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m.PostInit()
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}
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}
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// Phase 3: Build computed field dependency maps
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orm.SetupAllComputes()
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return nil
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}
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