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Author SHA1 Message Date
gsinghpal
1691ee1ab6 feat(fusion_accounting_bank_rec): inherit account.bank.statement.line + account.reconcile.model
Task 17 — Add Phase 1 widget compute fields and AI hooks:
- account.bank.statement.line: fusion_top_suggestion_id (m2o, unstored),
  fusion_confidence_band (selection, unstored), bank_statement_attachment_ids
  (one2many compute, mirrors Enterprise's surface field for the OWL widget).
- account.reconcile.model: fusion_ai_confidence_threshold (float).
- Bumps manifest 19.0.1.0.3 → 19.0.1.0.4.

V19 note: dropped @api.depends('id') on _compute_top_suggestion (NotImplementedError
in V19); compute is on-demand for unstored field anyway.

Made-with: Cursor
2026-04-19 10:25:31 -04:00
gsinghpal
45710ea890 feat(fusion_accounting_bank_rec): transient model for widget round-trip data
Made-with: Cursor
2026-04-19 10:22:39 -04:00
gsinghpal
267c8ee165 feat(fusion_accounting_bank_rec): persisted AI suggestion model with state lifecycle
Made-with: Cursor
2026-04-19 10:20:10 -04:00
gsinghpal
14ebcb2996 feat(fusion_accounting_bank_rec): pattern + precedent models for behavioural learning
Adds the foundation for AI confidence scoring:
- fusion.reconcile.pattern: per-(company, partner) aggregate profile
  (volume, cadence, preferred matching strategy, memo signature,
  write-off habits) — recomputed nightly from precedents.
- fusion.reconcile.precedent: per-historical-decision memory holding
  full feature vector + outcome, used by precedent_lookup for KNN
  scoring of new bank lines.

Includes ACL rows for fusion accounting user (read) and admin (CRUD)
groups. Manifest bumped to 19.0.1.0.1.

Note: switched the pattern uniqueness rule from the deprecated
_sql_constraints attribute to models.Constraint (Odoo 19 native API)
so the unique(company_id, partner_id) is actually enforced at the
PG level — _sql_constraints is silently ignored in 19.

Made-with: Cursor
2026-04-19 10:17:29 -04:00
gsinghpal
1df230029d feat(fusion_accounting_bank_rec): matching strategies (AmountExact, FIFO, MultiInvoice)
Made-with: Cursor
2026-04-19 10:13:00 -04:00
gsinghpal
f4d6a4f577 feat(fusion_accounting_bank_rec): exchange_diff helper for FX gain/loss pre-check
Made-with: Cursor
2026-04-19 10:10:40 -04:00
gsinghpal
560838e66c feat(fusion_accounting_bank_rec): memo_tokenizer for Canadian bank memo formats
Made-with: Cursor
2026-04-19 10:08:24 -04:00
gsinghpal
469a9d0732 feat(plating): close 6 compliance gaps from required-fields audit
Following the workforce-E2E + required-fields audit, ship the first 6
high-priority gates so critical workflow + compliance fields can no
longer be left empty by accident.

**1. Invoice payment terms (account.move)**
- create() now auto-inherits `invoice_payment_term_id` from
  partner.property_payment_term_id when missing
- action_post() raises UserError if still missing — accountant must
  pick one before posting (prevents silent "immediate" due-date)

**2. MO facility (mrp.production)**
- action_confirm() auto-derives `x_fc_facility_id` if unset, in order:
  SO override → res.company.x_fc_default_facility_id → first active
  facility — then HARD GATES: raises UserError if still empty.
  Without facility every downstream record (WO, batch, bath log,
  cert) is missing the "where" half of the audit trail.

**3. WO facility (mrp.workorder)**
- Switched `x_fc_facility_id` from related (workcenter only) to a
  proper compute that falls back to production_id.x_fc_facility_id.
  Stub workcenters auto-created from process node names usually have
  no facility — the MO always does (from #2 above).

**4. Thickness reading calibration_std (fp.thickness.reading)**
- `calibration_std_ref` is now `required=True` with sensible default
  ("NiP/Al STD SET SN 100174568"). Nadcap mandates which calibration
  standard the gauge was checked against — without it the cert
  data has no chain back to a metrology record.

**5. Delivery POD gate (fusion.plating.delivery)**
- action_mark_delivered() raises UserError if no `pod_id`. Driver
  must capture POD on the iPad (recipient signature + photos +
  notes) BEFORE marking delivered. Without POD there's no signed
  receipt to back the invoice or defend a delivery dispute.

**6. Certificate spec_reference gate (fp.certificate)**
- action_issue() raises UserError if no `spec_reference`. The cert
  ATTESTS to a spec — leaving it blank produces a piece of paper
  that AS9100 / Nadcap auditors will (rightfully) reject.

**Simulator updated**: scripts/fp_e2e_workforce.py
- Sets net-30 on the test customer + ensures a default facility
- New PHASE 4c: 5 negative tests (one per new gate), each wrapped
  in a SAVEPOINT so SQL constraint violations don't abort the txn
- Driver now creates POD on iPad BEFORE marking delivered

**Final E2E**: 48 PASS / 2 WARN / 0 FAIL out of 50 checks.
The 2 remaining WARNs (bake-window auto-create, first-piece gate)
are expected behaviour — both are coating-driven and the test
coating intentionally doesn't trigger them.

All 7 negative tests now pass:
  ✓ Test 1: WO start without operator → blocked
  ✓ Test 2: WO start on wet WO without bath/tank → blocked
  ✓ Test 3: MO confirm without facility → blocked
  ✓ Test 4: Cert issue without spec_reference → blocked
  ✓ Test 5: Delivery delivered without POD → blocked
  ✓ Test 6: Invoice post without payment terms → blocked
  ✓ Test 7: Thickness reading without cal std → blocked (DB NOT NULL)

Audit script (scripts/fp_required_fields_audit.py) committed too —
it's the diagnostic that surfaced these gaps and can be re-run to
catch new ones.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 10:06:52 -04:00
gsinghpal
60bf2adfa8 feat(fusion_accounting_ai): add LLMProvider contract + configurable openai base_url
Phase 1 prerequisite for local LLM support. Adapters now declare
capability flags (supports_tool_calling, max_context_tokens, etc.) so
the engine can reason about what backend is available.

OpenAI adapter accepts fusion_accounting.openai_base_url config -- point
it at LM Studio (http://host.docker.internal:1234/v1) or Ollama
(http://host.docker.internal:11434/v1) and the existing OpenAI adapter
works unchanged.

Implementation note: existing Odoo AbstractModel adapters
(fusion.accounting.adapter.openai/claude) are preserved untouched to
avoid breaking the chat panel; the new plain-Python OpenAIAdapter and
ClaudeAdapter classes (LLMProvider subclasses) are added alongside them.

Made-with: Cursor
2026-04-19 10:05:54 -04:00
gsinghpal
78a481f3f4 feat(fusion_accounting_core): add computed coexistence group + recompute hooks
group_fusion_show_when_enterprise_absent has membership = all internal
users iff no Enterprise accounting module is installed. Membership is
recomputed on module install/uninstall via overrides on ir.module.module.
Used by Phase 1 fusion_bank_rec menus to auto-hide when Enterprise is
active and auto-appear after Enterprise uninstall.

Made-with: Cursor
2026-04-19 10:02:19 -04:00
45 changed files with 1746 additions and 12 deletions

View File

@@ -1,6 +1,6 @@
{
'name': 'Fusion Accounting AI',
'version': '19.0.1.0.0',
'version': '19.0.1.0.1',
'category': 'Accounting/Accounting',
'sequence': 26,
'summary': 'AI Co-Pilot for Odoo accounting (Claude/GPT) with conversational interface, dashboard, rules.',

View File

@@ -1,2 +1,3 @@
from . import claude
from . import openai_adapter
from ._base import LLMProvider

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@@ -0,0 +1,44 @@
"""LLMProvider contract - every adapter must conform.
Phase 1 generalisation: makes local LLM (Ollama, LM Studio, vLLM, llamafile,
llama.cpp HTTP server) a one-config-line drop-in via the OpenAI-compatible
HTTP API surface that all of them expose.
"""
class LLMProvider:
"""Contract every LLM backend must satisfy. Adapters declare capabilities
as class attributes; the engine inspects them before calling optional methods."""
supports_tool_calling: bool = False
supports_streaming: bool = False
max_context_tokens: int = 4096
supports_embeddings: bool = False
def __init__(self, env):
self.env = env
def complete(self, *, system, messages, max_tokens=2048, temperature=0.0) -> dict:
"""Plain text completion. Required for ALL providers.
Returns: {'content': str, 'tokens_used': int, 'model': str}
"""
raise NotImplementedError
def complete_with_tools(self, *, system, messages, tools, max_tokens=2048) -> dict:
"""Tool-calling completion. Optional - caller checks supports_tool_calling first.
Returns: {'content': str, 'tool_calls': [{'name': str, 'arguments': dict}], ...}
"""
raise NotImplementedError(
f"{type(self).__name__} does not support tool-calling. "
f"Check supports_tool_calling before calling.")
def embed(self, texts: list[str]) -> list[list[float]]:
"""Embeddings. Optional - caller checks supports_embeddings first.
Returns: list of float vectors, one per input text.
"""
raise NotImplementedError(
f"{type(self).__name__} does not support embeddings. "
f"Check supports_embeddings before calling.")

View File

@@ -4,6 +4,8 @@ import logging
from odoo import models, api, _
from odoo.exceptions import UserError
from ._base import LLMProvider
_logger = logging.getLogger(__name__)
try:
@@ -12,6 +14,64 @@ except ImportError:
anthropic_sdk = None
class ClaudeAdapter(LLMProvider):
"""Plain-Python LLMProvider implementation for Anthropic Claude.
Preserves all existing functionality (extended thinking, native tool_use
blocks) used by the Odoo AbstractModel-based adapter -- this class is
additive for the Phase 1 LLMProvider contract.
"""
supports_tool_calling = True
supports_streaming = True
max_context_tokens = 200000
supports_embeddings = False
def __init__(self, env):
super().__init__(env)
if anthropic_sdk is None:
raise UserError(_("The 'anthropic' Python package is not installed."))
ICP = env['ir.config_parameter'].sudo()
try:
api_key = env['fusion.api.service'].get_api_key(
provider_type='anthropic',
consumer='fusion_accounting',
feature='chat_with_tools',
)
except Exception:
api_key = ICP.get_param('fusion_accounting.anthropic_api_key', '')
if not api_key:
api_key = 'not-needed'
self.client = anthropic_sdk.Anthropic(api_key=api_key)
self.model = ICP.get_param(
'fusion_accounting.claude_model', 'claude-sonnet-4-6')
def complete(self, *, system, messages, max_tokens=2048, temperature=0.0) -> dict:
api_messages = [
m for m in messages if m.get('role') in ('user', 'assistant')
]
try:
response = self.client.messages.create(
model=self.model,
max_tokens=max_tokens,
temperature=temperature,
system=system,
messages=api_messages,
)
except Exception as e:
_logger.error("Claude complete error: %s", e)
raise UserError(_("Claude API error: %s", str(e)))
text_parts = [b.text for b in response.content if getattr(b, 'type', None) == 'text']
return {
'content': '\n'.join(text_parts),
'tokens_used': (
getattr(response.usage, 'input_tokens', 0)
+ getattr(response.usage, 'output_tokens', 0)
),
'model': self.model,
}
class FusionAccountingAdapterClaude(models.AbstractModel):
_name = 'fusion.accounting.adapter.claude'
_description = 'Claude AI Adapter'

View File

@@ -4,6 +4,8 @@ import logging
from odoo import models, api, _
from odoo.exceptions import UserError
from ._base import LLMProvider
_logger = logging.getLogger(__name__)
try:
@@ -12,6 +14,71 @@ except ImportError:
OpenAI = None
DEFAULT_OPENAI_BASE_URL = 'https://api.openai.com/v1'
class OpenAIAdapter(LLMProvider):
"""Plain-Python LLMProvider implementation backed by an OpenAI-compatible
HTTP endpoint.
The OpenAI Python SDK speaks to any server that exposes the OpenAI
Chat Completions surface: OpenAI itself, Ollama, LM Studio, vLLM,
llamafile, llama.cpp HTTP server, etc. Configure the endpoint via
the ``fusion_accounting.openai_base_url`` ir.config_parameter.
"""
supports_tool_calling = True
supports_streaming = True
max_context_tokens = 128000
supports_embeddings = True
def __init__(self, env):
super().__init__(env)
if OpenAI is None:
raise UserError(_("The 'openai' Python package is not installed."))
ICP = env['ir.config_parameter'].sudo()
base_url = ICP.get_param(
'fusion_accounting.openai_base_url', DEFAULT_OPENAI_BASE_URL,
) or DEFAULT_OPENAI_BASE_URL
try:
api_key = env['fusion.api.service'].get_api_key(
provider_type='openai',
consumer='fusion_accounting',
feature='chat_with_tools',
)
except Exception:
api_key = ICP.get_param('fusion_accounting.openai_api_key', '')
if not api_key:
# Local LLM servers (Ollama, LM Studio, llama.cpp) usually do not
# require a real key but the SDK insists on a non-empty string.
api_key = 'not-needed'
self.base_url = base_url
self.client = OpenAI(api_key=api_key, base_url=base_url)
self.model = ICP.get_param('fusion_accounting.openai_model', 'gpt-5.4-mini')
def complete(self, *, system, messages, max_tokens=2048, temperature=0.0) -> dict:
api_messages = [{'role': 'system', 'content': system}]
for msg in messages:
if msg.get('role') in ('user', 'assistant', 'tool'):
api_messages.append(msg)
try:
response = self.client.chat.completions.create(
model=self.model,
messages=api_messages,
max_tokens=max_tokens,
temperature=temperature,
)
except Exception as e:
_logger.error("OpenAI complete error: %s", e)
raise UserError(_("OpenAI API error: %s", str(e)))
choice = response.choices[0]
return {
'content': choice.message.content or '',
'tokens_used': getattr(response.usage, 'total_tokens', 0),
'model': self.model,
}
class FusionAccountingAdapterOpenAI(models.AbstractModel):
_name = 'fusion.accounting.adapter.openai'
_description = 'OpenAI AI Adapter'

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@@ -1,2 +1,3 @@
from . import test_post_migration
from . import test_data_adapters
from . import test_llm_provider_contract

View File

@@ -0,0 +1,45 @@
from odoo.tests.common import TransactionCase, tagged
from odoo.addons.fusion_accounting_ai.services.adapters._base import LLMProvider
@tagged('post_install', '-at_install')
class TestLLMProviderContract(TransactionCase):
"""Every LLM adapter must satisfy the LLMProvider contract."""
def test_base_class_defines_capability_attrs(self):
self.assertTrue(hasattr(LLMProvider, 'supports_tool_calling'))
self.assertTrue(hasattr(LLMProvider, 'supports_streaming'))
self.assertTrue(hasattr(LLMProvider, 'max_context_tokens'))
self.assertTrue(hasattr(LLMProvider, 'supports_embeddings'))
def test_openai_adapter_implements_contract(self):
from odoo.addons.fusion_accounting_ai.services.adapters.openai_adapter import OpenAIAdapter
self.assertTrue(issubclass(OpenAIAdapter, LLMProvider))
adapter = OpenAIAdapter(self.env)
self.assertIsInstance(adapter.supports_tool_calling, bool)
self.assertIsInstance(adapter.max_context_tokens, int)
def test_claude_adapter_implements_contract(self):
from odoo.addons.fusion_accounting_ai.services.adapters.claude import ClaudeAdapter
self.assertTrue(issubclass(ClaudeAdapter, LLMProvider))
adapter = ClaudeAdapter(self.env)
self.assertIsInstance(adapter.supports_tool_calling, bool)
self.assertIsInstance(adapter.max_context_tokens, int)
def test_openai_adapter_uses_configurable_base_url(self):
self.env['ir.config_parameter'].sudo().set_param(
'fusion_accounting.openai_base_url', 'http://localhost:1234/v1')
self.env['ir.config_parameter'].sudo().set_param(
'fusion_accounting.openai_api_key', 'lm-studio-test-key')
from odoo.addons.fusion_accounting_ai.services.adapters.openai_adapter import OpenAIAdapter
adapter = OpenAIAdapter(self.env)
self.assertEqual(str(adapter.client.base_url).rstrip('/'),
'http://localhost:1234/v1')
def test_openai_adapter_default_base_url_when_unset(self):
self.env['ir.config_parameter'].sudo().search([
('key', '=', 'fusion_accounting.openai_base_url')
]).unlink()
from odoo.addons.fusion_accounting_ai.services.adapters.openai_adapter import OpenAIAdapter
adapter = OpenAIAdapter(self.env)
self.assertIn('api.openai.com', str(adapter.client.base_url))

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@@ -1,6 +1,6 @@
{
'name': 'Fusion Accounting — Bank Reconciliation',
'version': '19.0.1.0.0',
'version': '19.0.1.0.4',
'category': 'Accounting/Accounting',
'sequence': 28,
'summary': 'Native V19 bank reconciliation widget with AI confidence scoring + behavioural learning.',

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@@ -0,0 +1,6 @@
from . import fusion_reconcile_pattern
from . import fusion_reconcile_precedent
from . import fusion_reconcile_suggestion
from . import fusion_bank_rec_widget
from . import account_bank_statement_line
from . import account_reconcile_model

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@@ -0,0 +1,52 @@
"""Inherit account.bank.statement.line to add Phase 1 widget compute fields.
These fields are NOT stored — they're computed on-the-fly so the OWL widget
can render confidence badges without round-tripping. Performance OK because
the widget loads ~50-200 lines per kanban open and each compute is a single
indexed query into fusion.reconcile.suggestion.
"""
from odoo import api, fields, models
class AccountBankStatementLine(models.Model):
_inherit = "account.bank.statement.line"
# Top suggestion + its band — for the inline AI confidence badge
fusion_top_suggestion_id = fields.Many2one(
'fusion.reconcile.suggestion',
compute='_compute_top_suggestion',
store=False,
help="Highest-ranked pending AI suggestion for this line")
fusion_confidence_band = fields.Selection(
[('high', 'High'), ('medium', 'Medium'), ('low', 'Low'), ('none', 'None')],
compute='_compute_top_suggestion',
store=False,
default='none',
help="Quick-render colour band for the OWL widget badge")
# Mirror of Enterprise's bank_statement_attachment_ids surface field.
# Defined here so fusion's widget can render attachments without
# depending on account_accountant being installed.
bank_statement_attachment_ids = fields.One2many(
'ir.attachment',
compute='_compute_bank_statement_attachment_ids',
help="Attachments on the underlying account.move; mirrored for the OWL widget")
def _compute_top_suggestion(self):
Suggestion = self.env['fusion.reconcile.suggestion'].sudo()
for line in self:
top = Suggestion.search([
('statement_line_id', '=', line.id),
('state', '=', 'pending'),
('rank', '=', 1),
], limit=1)
line.fusion_top_suggestion_id = top
line.fusion_confidence_band = top.confidence_band if top else 'none'
@api.depends('move_id', 'move_id.attachment_ids')
def _compute_bank_statement_attachment_ids(self):
for line in self:
line.bank_statement_attachment_ids = (
line.move_id.attachment_ids if line.move_id else self.env['ir.attachment']
)

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@@ -0,0 +1,20 @@
"""Inherit account.reconcile.model to add Phase 1 AI integration hooks.
This is a minimal extension placeholder for now — Phase 1+ phases may
expand it (e.g., to attach AI confidence rules to reconcile-model
auto-fires). The shared-field-ownership for `created_automatically`
already lives in fusion_accounting_core; this file is for fusion_bank_rec
specific extensions only.
"""
from odoo import fields, models
class AccountReconcileModel(models.Model):
_inherit = "account.reconcile.model"
fusion_ai_confidence_threshold = fields.Float(
string="AI confidence threshold",
default=0.0,
help="If >0.0, fusion AI suggestions matching this rule are auto-applied "
"only when their confidence ≥ this threshold. 0.0 = no AI filtering.")

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@@ -0,0 +1,33 @@
"""Per-request widget state. Holds the kanban-load response shape so the
controller can return one well-typed object.
This is a TransientModel (no DB persistence beyond the request). The OWL
widget reads pre-computed fusion.reconcile.suggestion rows directly via
the controller; this model is just a typed envelope for the kanban-open
action."""
from odoo import api, fields, models
class FusionBankRecWidget(models.TransientModel):
_name = "fusion.bank.rec.widget"
_description = "Bank reconciliation widget state (transient)"
journal_id = fields.Many2one('account.journal',
domain="[('type', '=', 'bank')]")
statement_line_ids = fields.Many2many('account.bank.statement.line')
summary_count = fields.Integer(
help="Number of unreconciled lines visible in this widget")
summary_unreconciled_balance = fields.Monetary(currency_field='currency_id')
currency_id = fields.Many2one('res.currency',
related='journal_id.currency_id',
store=False, readonly=True)
def action_open_kanban(self):
"""Return a window action opening the OWL kanban for this journal."""
self.ensure_one()
return {
'type': 'ir.actions.client',
'tag': 'fusion_bank_rec_kanban',
'params': {'journal_id': self.journal_id.id},
}

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@@ -0,0 +1,55 @@
"""Per-partner bank reconciliation pattern aggregate.
One row per (company_id, partner_id). Continuously summarises HOW this
partner gets reconciled. Recomputed nightly via cron from the precedent
table. Used as a feature input to confidence_scoring.
"""
from odoo import fields, models
class FusionReconcilePattern(models.Model):
_name = "fusion.reconcile.pattern"
_description = "Per-partner bank reconciliation pattern aggregate"
_rec_name = "partner_id"
company_id = fields.Many2one('res.company', required=True, index=True,
default=lambda self: self.env.company)
partner_id = fields.Many2one('res.partner', required=True, index=True)
# Volume + cadence
reconcile_count = fields.Integer(default=0,
help="Total past reconciles for this partner")
typical_amount_range = fields.Char(
help="e.g. '$1,200 $2,400 (median $1,847.50)'")
typical_cadence_days = fields.Float(
help="Mean inter-reconcile days")
typical_day_of_month = fields.Char(
help="e.g. '1st, 15th'")
# Matching strategy used historically
pref_strategy = fields.Selection([
('exact_amount', 'Exact-amount-first'),
('fifo', 'FIFO oldest-due-first'),
('multi_invoice', 'Multi-invoice consolidation'),
('cherry_pick', 'Cherry-pick specific invoices'),
])
pref_account_id = fields.Many2one('account.account',
help="Most-used target account")
# Memo signature
common_memo_tokens = fields.Char(
help="Comma-separated tokens that appear in ≥30% of past reconciles")
# Tax + write-off habits
common_writeoff_account_id = fields.Many2one('account.account')
common_writeoff_tax_id = fields.Many2one('account.tax')
typical_writeoff_amount = fields.Float(
help="e.g. 0.05 for rounding diffs")
last_refreshed_at = fields.Datetime()
_uniq_company_partner = models.Constraint(
'unique(company_id, partner_id)',
'One pattern row per (company, partner) — already exists.',
)

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@@ -0,0 +1,49 @@
"""Per-historical-decision reconciliation memory.
One row per past reconciliation. Holds the full feature vector + outcome,
used by precedent_lookup for K-nearest-neighbour search when scoring a
new bank line.
"""
from odoo import fields, models
class FusionReconcilePrecedent(models.Model):
_name = "fusion.reconcile.precedent"
_description = "Historical bank reconciliation decision (memory)"
_order = "reconciled_at desc, id desc"
company_id = fields.Many2one('res.company', required=True, index=True,
default=lambda self: self.env.company)
partner_id = fields.Many2one('res.partner', index=True)
# Bank line features (the "input")
amount = fields.Monetary(currency_field='currency_id')
currency_id = fields.Many2one('res.currency')
date = fields.Date()
memo_tokens = fields.Char(
help="Comma-separated normalized memo tokens (output of memo_tokenizer)")
journal_id = fields.Many2one('account.journal')
# Outcome (the "decision made")
matched_move_line_count = fields.Integer(
help="1 = exact, 2-3 = consolidation, etc.")
matched_account_ids = fields.Char(
help="Comma-separated account.account IDs that were matched against")
matched_invoice_ages_days = fields.Char(
help="Comma-separated days-old at reconcile time, e.g. '12, 45, 78'")
write_off_amount = fields.Float()
write_off_account_id = fields.Many2one('account.account')
exchange_diff = fields.Boolean()
# Provenance
reconciler_user_id = fields.Many2one('res.users')
reconciled_at = fields.Datetime()
source = fields.Selection([
('historical_bootstrap', 'Imported from history'),
('manual', 'Manual reconcile via fusion'),
('ai_accepted', 'AI suggestion accepted'),
('auto_rule', 'account.reconcile.model auto-fired'),
], required=True)
# No uniqueness constraint — multiple reconciles can share features

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@@ -0,0 +1,98 @@
"""Persisted AI suggestions for bank line reconciliations.
One row per (statement_line, candidate_match). The OWL widget reads these
to render confidence badges; users accept/reject which feeds back into
the pattern learning system.
The AI never writes account.partial.reconcile directly — it writes
suggestions here, and the user (or batch-accept action) approves them
through the engine's accept_suggestion() method.
"""
from odoo import api, fields, models
class FusionReconcileSuggestion(models.Model):
_name = "fusion.reconcile.suggestion"
_description = "AI-generated bank reconciliation suggestion"
_order = "statement_line_id, confidence desc"
company_id = fields.Many2one('res.company', required=True, index=True,
default=lambda self: self.env.company)
statement_line_id = fields.Many2one('account.bank.statement.line',
required=True, index=True, ondelete='cascade')
# The proposal
proposed_move_line_ids = fields.Many2many('account.move.line',
string="Proposed matches")
proposed_write_off_amount = fields.Monetary(currency_field='currency_id')
proposed_write_off_account_id = fields.Many2one('account.account')
currency_id = fields.Many2one('res.currency',
related='statement_line_id.currency_id',
store=True)
# Scoring
confidence = fields.Float(required=True)
confidence_band = fields.Selection([
('high', 'High (>=95%)'),
('medium', 'Medium (70-94%)'),
('low', 'Low (50-69%)'),
('none', 'No confidence (<50%)'),
], compute='_compute_band', store=True)
rank = fields.Integer(help="1 = top suggestion, 2-N = alternatives")
reasoning = fields.Text(help="Human-readable explanation")
# Feature breakdown (for transparency + future learning)
score_amount_match = fields.Float()
score_partner_pattern = fields.Float()
score_precedent_similarity = fields.Float()
score_ai_rerank = fields.Float()
# Provenance
generated_at = fields.Datetime(default=fields.Datetime.now)
generated_by = fields.Selection([
('cron_batch', 'Batch cron'),
('on_demand', 'User refreshed alternatives'),
('on_open', 'Widget opened (lazy)'),
])
provider_used = fields.Char(
help="e.g. 'claude_sonnet_4_5', 'lmstudio_qwen_7b', 'statistical_only'")
tokens_used = fields.Integer(help="if AI re-rank invoked")
generation_ms = fields.Integer(help="latency for monitoring")
# Lifecycle
state = fields.Selection([
('pending', 'Pending review'),
('accepted', 'Accepted'),
('rejected', 'Rejected'),
('superseded', 'Superseded by newer suggestion'),
('stale', 'Stale (line changed since)'),
], default='pending', required=True, index=True)
accepted_at = fields.Datetime()
accepted_by = fields.Many2one('res.users')
rejected_at = fields.Datetime()
rejected_reason = fields.Selection([
('wrong_invoice', 'Wrong invoice'),
('wrong_partner', 'Wrong partner'),
('wrong_amount', 'Amount off'),
('not_a_match', 'No good match exists'),
('other', 'Other'),
])
_confidence_in_range = models.Constraint(
'CHECK (confidence >= 0.0 AND confidence <= 1.0)',
'Confidence must be between 0.0 and 1.0',
)
@api.depends('confidence')
def _compute_band(self):
for sug in self:
c = sug.confidence
if c >= 0.95:
sug.confidence_band = 'high'
elif c >= 0.70:
sug.confidence_band = 'medium'
elif c >= 0.50:
sug.confidence_band = 'low'
else:
sug.confidence_band = 'none'

View File

@@ -1 +1,8 @@
id,name,model_id:id,group_id:id,perm_read,perm_write,perm_create,perm_unlink
access_fusion_reconcile_pattern_user,pattern user,model_fusion_reconcile_pattern,fusion_accounting_core.group_fusion_accounting_user,1,0,0,0
access_fusion_reconcile_pattern_admin,pattern admin,model_fusion_reconcile_pattern,fusion_accounting_core.group_fusion_accounting_admin,1,1,1,1
access_fusion_reconcile_precedent_user,precedent user,model_fusion_reconcile_precedent,fusion_accounting_core.group_fusion_accounting_user,1,0,0,0
access_fusion_reconcile_precedent_admin,precedent admin,model_fusion_reconcile_precedent,fusion_accounting_core.group_fusion_accounting_admin,1,1,1,1
access_fusion_reconcile_suggestion_user,suggestion user,model_fusion_reconcile_suggestion,fusion_accounting_core.group_fusion_accounting_user,1,0,0,0
access_fusion_reconcile_suggestion_admin,suggestion admin,model_fusion_reconcile_suggestion,fusion_accounting_core.group_fusion_accounting_admin,1,1,1,1
access_fusion_bank_rec_widget_user,bank rec widget user,model_fusion_bank_rec_widget,fusion_accounting_core.group_fusion_accounting_user,1,1,1,1
1 id name model_id:id group_id:id perm_read perm_write perm_create perm_unlink
2 access_fusion_reconcile_pattern_user pattern user model_fusion_reconcile_pattern fusion_accounting_core.group_fusion_accounting_user 1 0 0 0
3 access_fusion_reconcile_pattern_admin pattern admin model_fusion_reconcile_pattern fusion_accounting_core.group_fusion_accounting_admin 1 1 1 1
4 access_fusion_reconcile_precedent_user precedent user model_fusion_reconcile_precedent fusion_accounting_core.group_fusion_accounting_user 1 0 0 0
5 access_fusion_reconcile_precedent_admin precedent admin model_fusion_reconcile_precedent fusion_accounting_core.group_fusion_accounting_admin 1 1 1 1
6 access_fusion_reconcile_suggestion_user suggestion user model_fusion_reconcile_suggestion fusion_accounting_core.group_fusion_accounting_user 1 0 0 0
7 access_fusion_reconcile_suggestion_admin suggestion admin model_fusion_reconcile_suggestion fusion_accounting_core.group_fusion_accounting_admin 1 1 1 1
8 access_fusion_bank_rec_widget_user bank rec widget user model_fusion_bank_rec_widget fusion_accounting_core.group_fusion_accounting_user 1 1 1 1

View File

@@ -0,0 +1,3 @@
from . import memo_tokenizer
from . import exchange_diff
from . import matching_strategies

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@@ -0,0 +1,46 @@
"""Exchange-difference calculation helper.
Pure-Python FX gain/loss computation. The engine uses this for rapid
pre-checks; Odoo's account.move._create_exchange_difference_move() is
invoked separately for the actual GL posting.
"""
from dataclasses import dataclass
@dataclass
class ExchangeDiffResult:
needs_diff_move: bool
diff_amount: float # in company currency; positive = gain, negative = loss
line_company_amount: float
against_company_amount: float
def compute_exchange_diff(*, line_amount, line_currency_code, against_amount,
against_currency_code, line_rate, against_rate) -> ExchangeDiffResult:
"""Compute whether an exchange-diff move is needed and its magnitude.
Args:
line_amount: Bank line amount in its currency
line_currency_code: e.g. 'USD'
against_amount: Matched journal item amount in its currency
against_currency_code: e.g. 'USD' (or different)
line_rate: FX rate (foreign per company currency) at line date
against_rate: FX rate at journal item posting date
Returns:
ExchangeDiffResult with needs_diff_move flag and computed diff
in company currency (positive = gain, negative = loss).
"""
line_company = line_amount * line_rate
against_company = against_amount * against_rate
diff = line_company - against_company
needs_diff = abs(diff) > 0.005 # rounding tolerance
return ExchangeDiffResult(
needs_diff_move=needs_diff,
diff_amount=round(diff, 2),
line_company_amount=round(line_company, 2),
against_company_amount=round(against_company, 2),
)

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@@ -0,0 +1,91 @@
"""Matching strategy classes for the reconcile engine.
Each strategy takes a bank amount + list of candidate journal items
and returns a MatchResult with the picked ids + confidence + residual.
Strategies are pure Python; no ORM dependency.
"""
from dataclasses import dataclass, field
from itertools import combinations
@dataclass
class Candidate:
id: int
amount: float
partner_id: int
age_days: int
@dataclass
class MatchResult:
picked_ids: list[int] = field(default_factory=list)
confidence: float = 0.0
residual: float = 0.0 # bank_amount - sum(picked); positive = under-allocated
strategy_name: str = ""
AMOUNT_TOLERANCE = 0.005 # currency rounding tolerance
class AmountExactStrategy:
"""Pick a single candidate whose amount equals the bank amount exactly.
If multiple candidates match exactly, pick the oldest (FIFO tiebreaker)."""
def match(self, *, bank_amount: float, candidates: list[Candidate]) -> MatchResult:
exact = [c for c in candidates if abs(c.amount - bank_amount) < AMOUNT_TOLERANCE]
if not exact:
return MatchResult(strategy_name='amount_exact')
oldest = max(exact, key=lambda c: c.age_days)
return MatchResult(
picked_ids=[oldest.id],
confidence=1.0,
residual=0.0,
strategy_name='amount_exact',
)
class FIFOStrategy:
"""Pick oldest candidates first until the bank amount is exhausted.
May produce partial reconcile residual if last candidate doesn't fit exactly."""
def match(self, *, bank_amount: float, candidates: list[Candidate]) -> MatchResult:
if not candidates:
return MatchResult(strategy_name='fifo')
oldest_first = sorted(candidates, key=lambda c: -c.age_days)
picked = []
remaining = bank_amount
for c in oldest_first:
if remaining <= AMOUNT_TOLERANCE:
break
picked.append(c.id)
remaining -= c.amount
confidence = 0.7 if remaining < AMOUNT_TOLERANCE else 0.5
return MatchResult(
picked_ids=picked,
confidence=confidence,
residual=remaining,
strategy_name='fifo',
)
class MultiInvoiceStrategy:
"""Find the smallest combination of candidates summing to the bank amount.
Bounded by max_combinations to keep complexity manageable."""
def __init__(self, max_combinations=3):
self.max_combinations = max_combinations
def match(self, *, bank_amount: float, candidates: list[Candidate]) -> MatchResult:
for k in range(2, self.max_combinations + 1):
for combo in combinations(candidates, k):
total = sum(c.amount for c in combo)
if abs(total - bank_amount) < AMOUNT_TOLERANCE:
return MatchResult(
picked_ids=[c.id for c in combo],
confidence=0.85,
residual=0.0,
strategy_name=f'multi_invoice_{k}',
)
return MatchResult(strategy_name='multi_invoice')

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@@ -0,0 +1,44 @@
"""Extract searchable tokens from Canadian bank statement memos.
Handles common memo formats from RBC, TD, Scotia, BMO, plus generic
cheque-number and reference-number patterns. Output is normalized
(uppercase, alphanumeric) for case-insensitive matching.
"""
import re
REF_PATTERNS = [
(re.compile(r'\b(REF|REFERENCE)\s*#?\s*(\d+)\b', re.I), r'REF\2'),
(re.compile(r'\b(CHQ|CHEQUE|CHECK)\s*#?\s*(\d+)\b', re.I), r'CHEQUE\2'),
(re.compile(r'\b(INV|INVOICE)\s*#?\s*(\d+)\b', re.I), r'INV\2'),
]
MIN_TOKEN_LENGTH = 2
def tokenize_memo(memo: str | None) -> list[str]:
"""Return list of normalized tokens from a bank memo.
Empty/None input returns []. Order preserved (first occurrence wins
for de-duplication)."""
if not memo:
return []
text = memo.upper()
for pattern, replacement in REF_PATTERNS:
text = pattern.sub(replacement, text)
text = re.sub(r'[^A-Z0-9]+', ' ', text)
raw_tokens = text.split()
seen = set()
tokens = []
for tok in raw_tokens:
if len(tok) < MIN_TOKEN_LENGTH:
continue
if tok in seen:
continue
seen.add(tok)
tokens.append(tok)
return tokens

View File

@@ -0,0 +1,4 @@
from . import test_memo_tokenizer
from . import test_exchange_diff
from . import test_matching_strategies
from . import test_ai_suggestion_lifecycle

View File

@@ -0,0 +1,86 @@
from odoo.tests.common import TransactionCase, tagged
@tagged('post_install', '-at_install')
class TestSuggestionLifecycle(TransactionCase):
"""The fusion.reconcile.suggestion state machine + computed band."""
def setUp(self):
super().setUp()
journal = self.env['account.journal'].create({
'name': 'Test Bank Suggestion',
'type': 'bank',
'code': 'TBSG',
})
statement = self.env['account.bank.statement'].create({
'name': 'Test Statement',
'journal_id': journal.id,
})
self.line = self.env['account.bank.statement.line'].create({
'statement_id': statement.id,
'journal_id': journal.id,
'date': '2026-04-19',
'payment_ref': 'Test for suggestion',
'amount': 100.00,
})
def _make_suggestion(self, confidence=0.92, **vals):
defaults = {
'company_id': self.env.company.id,
'statement_line_id': self.line.id,
'confidence': confidence,
'rank': 1,
'reasoning': 'Test',
}
defaults.update(vals)
return self.env['fusion.reconcile.suggestion'].create(defaults)
def test_compute_band_high(self):
sug = self._make_suggestion(confidence=0.96)
self.assertEqual(sug.confidence_band, 'high')
def test_compute_band_medium(self):
sug = self._make_suggestion(confidence=0.75)
self.assertEqual(sug.confidence_band, 'medium')
def test_compute_band_low(self):
sug = self._make_suggestion(confidence=0.55)
self.assertEqual(sug.confidence_band, 'low')
def test_compute_band_none(self):
sug = self._make_suggestion(confidence=0.30)
self.assertEqual(sug.confidence_band, 'none')
def test_default_state_is_pending(self):
sug = self._make_suggestion()
self.assertEqual(sug.state, 'pending')
def test_state_transition_to_accepted(self):
sug = self._make_suggestion()
sug.write({
'state': 'accepted',
'accepted_at': '2026-04-19 12:00:00',
'accepted_by': self.env.user.id,
})
self.assertEqual(sug.state, 'accepted')
self.assertTrue(sug.accepted_at)
self.assertEqual(sug.accepted_by, self.env.user)
def test_state_transition_to_rejected_with_reason(self):
sug = self._make_suggestion()
sug.write({
'state': 'rejected',
'rejected_at': '2026-04-19 12:05:00',
'rejected_reason': 'wrong_invoice',
})
self.assertEqual(sug.state, 'rejected')
self.assertEqual(sug.rejected_reason, 'wrong_invoice')
def test_state_transition_to_superseded(self):
sug = self._make_suggestion()
sug.write({'state': 'superseded'})
self.assertEqual(sug.state, 'superseded')
def test_currency_id_relates_to_line(self):
sug = self._make_suggestion()
self.assertEqual(sug.currency_id, self.line.currency_id)

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@@ -0,0 +1,56 @@
from odoo.tests.common import TransactionCase, tagged
from odoo.addons.fusion_accounting_bank_rec.services.exchange_diff import (
compute_exchange_diff, ExchangeDiffResult,
)
@tagged('post_install', '-at_install')
class TestExchangeDiff(TransactionCase):
def test_no_diff_when_currencies_match_and_rates_match(self):
result = compute_exchange_diff(
line_amount=100.00, line_currency_code='CAD',
against_amount=100.00, against_currency_code='CAD',
line_rate=1.0, against_rate=1.0,
)
self.assertFalse(result.needs_diff_move)
self.assertEqual(result.diff_amount, 0.0)
def test_diff_when_rates_differ_same_currency(self):
"""USD invoice posted at 1.35, USD bank line settled at 1.40 -> diff exists.
100 USD at 1.40 = 140 CAD; same at 1.35 = 135 CAD; diff = 5 CAD gain."""
result = compute_exchange_diff(
line_amount=100.00, line_currency_code='USD',
against_amount=100.00, against_currency_code='USD',
line_rate=1.40, against_rate=1.35,
)
self.assertTrue(result.needs_diff_move)
self.assertAlmostEqual(result.diff_amount, 5.00, places=2)
def test_diff_negative_when_rate_dropped(self):
"""USD invoice at 1.40, settled at 1.35 -> loss"""
result = compute_exchange_diff(
line_amount=100.00, line_currency_code='USD',
against_amount=100.00, against_currency_code='USD',
line_rate=1.35, against_rate=1.40,
)
self.assertTrue(result.needs_diff_move)
self.assertAlmostEqual(result.diff_amount, -5.00, places=2)
def test_company_amounts_computed_correctly(self):
result = compute_exchange_diff(
line_amount=100.00, line_currency_code='USD',
against_amount=100.00, against_currency_code='USD',
line_rate=1.40, against_rate=1.35,
)
self.assertAlmostEqual(result.line_company_amount, 140.00, places=2)
self.assertAlmostEqual(result.against_company_amount, 135.00, places=2)
def test_tolerance_handles_rounding_noise(self):
"""Tiny FX rounding under 0.005 should NOT trigger a diff move."""
result = compute_exchange_diff(
line_amount=100.00, line_currency_code='USD',
against_amount=100.00, against_currency_code='USD',
line_rate=1.40000, against_rate=1.40003, # 0.003 cent diff
)
self.assertFalse(result.needs_diff_move)

View File

@@ -0,0 +1,111 @@
from odoo.tests.common import TransactionCase, tagged
from odoo.addons.fusion_accounting_bank_rec.services.matching_strategies import (
Candidate, AmountExactStrategy, FIFOStrategy, MultiInvoiceStrategy, MatchResult,
)
@tagged('post_install', '-at_install')
class TestAmountExactStrategy(TransactionCase):
def test_picks_exact_amount(self):
candidates = [
Candidate(id=1, amount=99.99, partner_id=42, age_days=10),
Candidate(id=2, amount=100.00, partner_id=42, age_days=20),
Candidate(id=3, amount=100.50, partner_id=42, age_days=5),
]
result = AmountExactStrategy().match(bank_amount=100.00, candidates=candidates)
self.assertEqual(result.picked_ids, [2])
self.assertEqual(result.confidence, 1.0)
def test_no_match_when_no_exact(self):
candidates = [
Candidate(id=1, amount=99.99, partner_id=42, age_days=10),
Candidate(id=2, amount=100.50, partner_id=42, age_days=20),
]
result = AmountExactStrategy().match(bank_amount=100.00, candidates=candidates)
self.assertEqual(result.picked_ids, [])
def test_picks_oldest_when_multiple_exact(self):
candidates = [
Candidate(id=1, amount=100.00, partner_id=42, age_days=10),
Candidate(id=2, amount=100.00, partner_id=42, age_days=30), # oldest
Candidate(id=3, amount=100.00, partner_id=42, age_days=20),
]
result = AmountExactStrategy().match(bank_amount=100.00, candidates=candidates)
self.assertEqual(result.picked_ids, [2])
def test_handles_empty_candidates(self):
result = AmountExactStrategy().match(bank_amount=100.00, candidates=[])
self.assertEqual(result.picked_ids, [])
@tagged('post_install', '-at_install')
class TestFIFOStrategy(TransactionCase):
def test_picks_oldest_first(self):
candidates = [
Candidate(id=1, amount=50.00, partner_id=42, age_days=10),
Candidate(id=2, amount=50.00, partner_id=42, age_days=30),
Candidate(id=3, amount=50.00, partner_id=42, age_days=20),
]
result = FIFOStrategy().match(bank_amount=100.00, candidates=candidates)
self.assertEqual(result.picked_ids, [2, 3]) # oldest two summing to 100
def test_handles_partial_payment(self):
candidates = [
Candidate(id=1, amount=200.00, partner_id=42, age_days=30),
]
result = FIFOStrategy().match(bank_amount=100.00, candidates=candidates)
self.assertEqual(result.picked_ids, [1]) # partial reconcile signaled by residual
self.assertEqual(result.residual, -100.00) # over-allocated; engine handles
def test_handles_empty_candidates(self):
result = FIFOStrategy().match(bank_amount=100.00, candidates=[])
self.assertEqual(result.picked_ids, [])
@tagged('post_install', '-at_install')
class TestMultiInvoiceStrategy(TransactionCase):
def test_finds_smallest_set_summing_to_amount(self):
candidates = [
Candidate(id=1, amount=30.00, partner_id=42, age_days=10),
Candidate(id=2, amount=40.00, partner_id=42, age_days=15),
Candidate(id=3, amount=30.00, partner_id=42, age_days=20),
Candidate(id=4, amount=70.00, partner_id=42, age_days=25),
]
result = MultiInvoiceStrategy(max_combinations=3).match(
bank_amount=100.00, candidates=candidates)
# Two-element solutions exist (e.g., {3,4}=100). Strategy should pick a 2-set.
self.assertEqual(len(result.picked_ids), 2)
# The picked set should sum to 100
picked_amounts = [c.amount for c in candidates if c.id in result.picked_ids]
self.assertAlmostEqual(sum(picked_amounts), 100.00, places=2)
def test_returns_empty_when_no_combination_sums(self):
candidates = [
Candidate(id=1, amount=15.00, partner_id=42, age_days=10),
Candidate(id=2, amount=25.00, partner_id=42, age_days=15),
]
result = MultiInvoiceStrategy(max_combinations=3).match(
bank_amount=100.00, candidates=candidates)
self.assertEqual(result.picked_ids, [])
def test_respects_max_combinations(self):
# Many small invoices — only combinations of ≤3 items considered
candidates = [Candidate(id=i, amount=10.00, partner_id=42, age_days=i)
for i in range(1, 11)]
result = MultiInvoiceStrategy(max_combinations=3).match(
bank_amount=100.00, candidates=candidates)
# Can't make 100 with ≤3 items of $10 each
self.assertEqual(result.picked_ids, [])
def test_strategy_name_includes_combination_size(self):
candidates = [
Candidate(id=1, amount=50.00, partner_id=42, age_days=10),
Candidate(id=2, amount=50.00, partner_id=42, age_days=20),
]
result = MultiInvoiceStrategy(max_combinations=3).match(
bank_amount=100.00, candidates=candidates)
self.assertEqual(set(result.picked_ids), {1, 2})
self.assertIn('multi_invoice', result.strategy_name)

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@@ -0,0 +1,42 @@
from odoo.tests.common import TransactionCase, tagged
from odoo.addons.fusion_accounting_bank_rec.services.memo_tokenizer import tokenize_memo
@tagged('post_install', '-at_install')
class TestMemoTokenizer(TransactionCase):
def test_extracts_rbc_etf_reference(self):
tokens = tokenize_memo("RBC ETF DEP REF 4831")
self.assertIn('RBC', tokens)
self.assertIn('ETF', tokens)
self.assertIn('REF4831', tokens)
def test_extracts_cheque_number(self):
tokens = tokenize_memo("CHEQUE 4827 - WESTIN PLATING")
self.assertIn('CHEQUE4827', tokens)
self.assertIn('WESTIN', tokens)
self.assertIn('PLATING', tokens)
def test_strips_noise_tokens(self):
tokens = tokenize_memo("PAYMENT - INV - DEP - 12345")
self.assertNotIn('-', tokens)
self.assertEqual([t for t in tokens if len(t) <= 1], [])
def test_handles_empty_memo(self):
self.assertEqual(tokenize_memo(""), [])
self.assertEqual(tokenize_memo(None), [])
def test_canadian_french_memo(self):
tokens = tokenize_memo("PAIEMENT VIREMENT BANCAIRE")
self.assertIn('PAIEMENT', tokens)
self.assertIn('VIREMENT', tokens)
def test_normalises_case(self):
tokens = tokenize_memo("rbc etf dep ref 4831")
self.assertIn('RBC', tokens)
def test_handles_special_characters(self):
tokens = tokenize_memo("RBC*PAYMENT/REF#4831")
self.assertIn('RBC', tokens)
self.assertIn('PAYMENT', tokens)
self.assertIn('REF4831', tokens)

View File

@@ -1 +1,6 @@
from . import models
def post_init_hook(env):
"""Initialize coexistence group membership based on current Enterprise install state."""
env['res.users']._fusion_recompute_coexistence_group()

View File

@@ -1,6 +1,6 @@
{
'name': 'Fusion Accounting Core',
'version': '19.0.1.0.1',
'version': '19.0.1.0.2',
'category': 'Accounting/Accounting',
'sequence': 24,
'summary': 'Shared base for the Fusion Accounting sub-module suite (security, shared schema, runtime helpers).',
@@ -30,4 +30,5 @@ Built by Nexa Systems Inc.
'installable': True,
'application': False,
'license': 'OPL-1',
'post_init_hook': 'post_init_hook',
}

View File

@@ -1,4 +1,5 @@
from . import ir_module_module
from . import res_users
from . import account_move
from . import account_reconcile_model
from . import account_bank_statement_line

View File

@@ -30,3 +30,26 @@ class IrModuleModule(models.Model):
('name', '=', module_name),
('state', '=', 'installed'),
]))
def button_immediate_install(self):
"""Recompute the coexistence group after install state changes."""
result = super().button_immediate_install()
self.env['res.users']._fusion_recompute_coexistence_group()
return result
def button_immediate_uninstall(self):
"""Recompute the coexistence group after uninstall state changes.
The MRO chains into fusion_accounting_migration's override (which runs
the safety guard before calling super); we recompute only after the
whole chain completes.
"""
result = super().button_immediate_uninstall()
self.env['res.users']._fusion_recompute_coexistence_group()
return result
def module_uninstall(self):
"""Recompute the coexistence group after the lower-level uninstall."""
result = super().module_uninstall()
self.env['res.users']._fusion_recompute_coexistence_group()
return result

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@@ -0,0 +1,27 @@
"""Coexistence group membership recomputation."""
from odoo import api, models
class ResUsers(models.Model):
_inherit = "res.users"
@api.model
def _fusion_recompute_coexistence_group(self):
"""Set group membership = all internal users iff Enterprise absent.
Called from ir.module.module.button_immediate_install / uninstall
overrides. Idempotent; safe to call multiple times.
"""
group = self.env.ref(
'fusion_accounting_core.group_fusion_show_when_enterprise_absent',
raise_if_not_found=False,
)
if not group:
return
enterprise_installed = self.env['ir.module.module']._fusion_is_enterprise_accounting_installed()
if enterprise_installed:
group.sudo().write({'user_ids': [(5, 0, 0)]})
else:
all_internal = self.sudo().search([('share', '=', False)])
group.sudo().write({'user_ids': [(6, 0, all_internal.ids)]})

View File

@@ -43,4 +43,10 @@
<record id="account.group_account_manager" model="res.groups">
<field name="implied_ids" eval="[(4, ref('group_fusion_accounting_admin'))]"/>
</record>
<!-- Phase 1: dynamic coexistence group -->
<record id="group_fusion_show_when_enterprise_absent" model="res.groups">
<field name="name">Fusion: Show menus when Enterprise absent</field>
<field name="comment">Computed group. Membership: all internal users when no Enterprise accounting module is installed. Used to hide fusion sub-module menus that would conflict with Enterprise UIs.</field>
</record>
</odoo>

View File

@@ -1,3 +1,4 @@
from . import test_enterprise_detection
from . import test_shared_field_ownership
from . import test_shared_field_bank_statement
from . import test_coexistence_group

View File

@@ -0,0 +1,46 @@
from odoo.tests.common import TransactionCase, tagged
@tagged('post_install', '-at_install')
class TestCoexistenceGroup(TransactionCase):
"""The 'show when Enterprise absent' group must exist and have computed membership."""
def test_group_exists(self):
group = self.env.ref(
'fusion_accounting_core.group_fusion_show_when_enterprise_absent',
raise_if_not_found=False,
)
self.assertTrue(group, "Coexistence group must exist")
def test_membership_matches_enterprise_state(self):
"""A user is in the group iff Enterprise accounting is NOT installed.
We can't toggle Enterprise mid-test, so just assert the current state
matches: if Enterprise is installed, group should have 0 members; if
not, the group should include all internal users.
"""
group = self.env.ref(
'fusion_accounting_core.group_fusion_show_when_enterprise_absent'
)
enterprise_installed = self.env['ir.module.module']._fusion_is_enterprise_accounting_installed()
all_internal = self.env['res.users'].sudo().search([('share', '=', False)])
if enterprise_installed:
self.assertEqual(
len(group.user_ids), 0,
"Enterprise installed -> coexistence group should be empty",
)
else:
self.assertEqual(
set(group.user_ids.ids), set(all_internal.ids),
"Enterprise absent -> coexistence group should contain all internal users",
)
def test_recompute_method_exists(self):
"""The recompute helper must be callable on res.users."""
self.assertTrue(
callable(getattr(
self.env['res.users'],
'_fusion_recompute_coexistence_group',
None,
))
)

View File

@@ -5,7 +5,7 @@
{
"name": "Fusion Plating — MRP Bridge",
'version': '19.0.6.4.0',
'version': '19.0.6.5.0',
'category': 'Manufacturing/Plating',
'summary': 'Bridge Fusion Plating facilities, baths and tanks to Odoo MRP work orders.',
'description': """

View File

@@ -469,6 +469,40 @@ class MrpProduction(models.Model):
# Auto-assign recipe BEFORE super() so work-order generation sees it
self._auto_assign_recipe_from_so()
# Auto-derive facility (where the job runs) so x_fc_facility_id is
# never empty downstream — it's compliance-critical (AS9100 §7.1.4
# "infrastructure"). Order: explicit value > SO override >
# company default > first active facility.
for mo in self:
if mo.x_fc_facility_id:
continue
facility = False
if mo.origin:
so = self.env['sale.order'].search(
[('name', '=', mo.origin)], limit=1,
)
if so and 'x_fc_facility_id' in so._fields:
facility = so.x_fc_facility_id
if not facility:
facility = mo.company_id.x_fc_default_facility_id
if not facility:
facility = self.env['fusion.plating.facility'].search(
[('active', '=', True)], limit=1,
)
if facility:
mo.x_fc_facility_id = facility.id
# Hard gate: MO can't be confirmed without a facility — without
# this, every downstream record (WO, batch, bath log, cert) is
# missing the "where" half of "what was made where by whom".
for mo in self:
if not mo.x_fc_facility_id:
raise UserError(_(
'Cannot confirm MO "%s" — no plating facility set.\n\n'
'Set the facility on the MO, or configure a default '
'in Settings → Companies → Fusion Plating Defaults.'
) % (mo.name or mo.display_name))
res = super().action_confirm()
PortalJob = self.env['fusion.plating.portal.job']
for mo in self:

View File

@@ -51,10 +51,24 @@ class MrpWorkorder(models.Model):
string='Thickness Unit', default='mils',
)
x_fc_dwell_time_minutes = fields.Float(string='Dwell Time (min)')
# Falls back to the MO's facility when the workcenter has none —
# most stub workcenters auto-created from process node names don't
# have facility_id, but the MO always does (enforced at confirm).
x_fc_facility_id = fields.Many2one(
'fusion.plating.facility', string='Facility',
related='workcenter_id.x_fc_facility_id', store=True, readonly=True,
compute='_compute_facility_id', store=True, readonly=False,
help='Plating facility where this WO runs. Falls back to the '
'MO\'s facility when the workcenter has none.',
)
@api.depends('workcenter_id.x_fc_facility_id', 'production_id.x_fc_facility_id')
def _compute_facility_id(self):
for wo in self:
wo.x_fc_facility_id = (
wo.workcenter_id.x_fc_facility_id
or wo.production_id.x_fc_facility_id
or wo.x_fc_facility_id
)
x_fc_workcenter_cost_hour = fields.Float(
string='Station Rate ($/hr)',
related='workcenter_id.costs_hour', readonly=True,

View File

@@ -5,7 +5,7 @@
{
'name': 'Fusion Plating — Certificates',
'version': '19.0.3.0.0',
'version': '19.0.3.1.0',
'category': 'Manufacturing/Plating',
'summary': 'Certificate registry for CoC, thickness reports, and quality documents.',
'description': """

View File

@@ -267,6 +267,16 @@ class FpCertificate(models.Model):
for rec in self:
if rec.state != 'draft':
raise UserError(_('Only draft certificates can be issued.'))
# Spec reference is what the cert ATTESTS — without it the
# cert is just a piece of paper. AS9100 / Nadcap require
# naming the spec the work was performed to.
if not rec.spec_reference:
raise UserError(_(
'Cannot issue certificate "%(name)s" — no Spec '
'Reference set.\n\nFill the Spec Reference field '
'(e.g. "AMS 2404", "MIL-C-26074") so the cert '
'states which standard the work meets.'
) % {'name': rec.name or rec.display_name})
rec.state = 'issued'
rec.message_post(body=_('Certificate issued.'))

View File

@@ -45,7 +45,13 @@ class FpThicknessReading(models.Model):
string='Product Ref', help='e.g. "2805031 / NiP/Al-alloys 2805030"',
)
calibration_std_ref = fields.Char(
string='Calibration Std', help='e.g. "NiP/Al STD SET SN 100174568"',
string='Calibration Std',
required=True,
default='NiP/Al STD SET SN 100174568',
help='Nadcap mandatory: which calibration standard the gauge '
'was checked against. Defaults to the shop\'s primary '
'standard but should be overridden if a different std '
'was used for this reading.',
)
microscope_image_id = fields.Many2one(
'ir.attachment', string='Microscope Image',

View File

@@ -5,7 +5,7 @@
{
'name': 'Fusion Plating — Invoicing',
'version': '19.0.2.0.0',
'version': '19.0.2.1.0',
'category': 'Manufacturing/Plating',
'summary': 'Invoice strategy engine with deposit, progress billing, net terms, COD/prepay, and account holds.',
'description': """

View File

@@ -3,15 +3,38 @@
# License OPL-1 (Odoo Proprietary License v1.0)
# Part of the Fusion Plating product family.
from odoo import models, _
from odoo import api, models, _
from odoo.exceptions import UserError
class AccountMove(models.Model):
_inherit = 'account.move'
@api.model_create_multi
def create(self, vals_list):
"""Auto-inherit payment terms from the customer when missing.
Customers usually have a default `property_payment_term_id`
(Net-30, Net-60, COD…). When an invoice is created without
terms, the due date silently defaults to "immediate" — wrong
for almost every B2B customer. Pull the partner's terms in
before super so the invoice is born with the right schedule.
"""
Partner = self.env['res.partner']
for vals in vals_list:
if vals.get('move_type') in ('out_invoice', 'out_refund'):
if not vals.get('invoice_payment_term_id') and vals.get('partner_id'):
partner = Partner.browse(vals['partner_id'])
if partner.property_payment_term_id:
vals['invoice_payment_term_id'] = partner.property_payment_term_id.id
return super().create(vals_list)
def action_post(self):
"""Check account hold before posting invoices."""
"""Block post when:
• customer is on account hold (existing rule), or
• the invoice has no payment term (auto-fill missed it AND
partner had no default — accountant must pick one).
"""
for move in self:
if move.move_type in ('out_invoice', 'out_refund') and move.partner_id:
if move.partner_id.x_fc_account_hold:
@@ -25,4 +48,11 @@ class AccountMove(models.Model):
'Contact a manager to override.'
) % (move.partner_id.name,
move.partner_id.x_fc_account_hold_reason or 'No reason specified'))
if not move.invoice_payment_term_id:
raise UserError(_(
'Cannot post invoice "%s" — no payment terms set.\n\n'
'Pick payment terms (Net-30, COD, etc.) on the invoice, '
'or set a default on the customer "%s" so future '
'invoices inherit it automatically.'
) % (move.name or move.display_name, move.partner_id.name))
return super().action_post()

View File

@@ -5,7 +5,7 @@
{
'name': 'Fusion Plating — Logistics',
'version': '19.0.1.0.0',
'version': '19.0.1.1.0',
'category': 'Manufacturing/Plating',
'summary': (
'Pickup & delivery for plating shops: vehicle master, driver '

View File

@@ -3,7 +3,8 @@
# License OPL-1 (Odoo Proprietary License v1.0)
# Part of the Fusion Plating product family.
from odoo import api, fields, models
from odoo import _, api, fields, models
from odoo.exceptions import UserError
class FpDelivery(models.Model):
@@ -169,7 +170,21 @@ class FpDelivery(models.Model):
)
def action_mark_delivered(self):
"""Block "delivered" until a Proof of Delivery exists.
The driver must capture POD (signature, photos, recipient name)
on the iPad at the customer's dock BEFORE marking delivered.
Without POD we have no signed receipt to attach to the
invoice and no defence against a delivery dispute.
"""
for rec in self:
if not rec.pod_id:
raise UserError(_(
'Cannot mark delivery "%(name)s" delivered — no Proof '
'of Delivery (POD) has been captured.\n\n'
'On the iPad: Capture POD → enter recipient name + '
'signature → save. Then mark delivered.'
) % {'name': rec.name or rec.display_name})
rec.write({
'state': 'delivered',
'delivered_at': fields.Datetime.now(),

View File

@@ -114,6 +114,18 @@ customer = env['res.partner'].sudo().create({
'city': 'Toronto', 'zip': 'M5G 1V7',
'country_id': env.ref('base.ca').id,
})
# Net-30 default so invoices created later inherit the right schedule.
net30 = env.ref('account.account_payment_term_30days', raise_if_not_found=False)
if net30:
customer.sudo().property_payment_term_id = net30.id
# Make sure the company has a default facility so MO confirm succeeds.
co = env.company
if not co.x_fc_default_facility_id:
f = env['fusion.plating.facility'].search([('active', '=', True)], limit=1)
if f:
co.sudo().x_fc_default_facility_id = f.id
show('company default facility set', f.name)
step('SANDRA', f'Receives RFQ from {customer.name}')
@@ -336,6 +348,133 @@ if wet_assignments:
'x_fc_tank_id': saved_tank,
})
# ===== Negative tests for the 6 new gates (wrapped in savepoints
# so an SQL-level constraint failure doesn't abort the txn) =====
banner('PHASE 4c — Negative tests for the new compliance gates')
def neg_test(label, fn, expect_keywords):
"""Run fn() inside a savepoint; check the raised error mentions
one of `expect_keywords`. Always rolls back."""
sp_name = f'neg_{abs(hash(label))}'
env.cr.execute(f'SAVEPOINT {sp_name}')
fired = False
msg = ''
try:
fn()
except Exception as e:
msg = str(e)
low = msg.lower()
fired = any(k.lower() in low for k in expect_keywords)
finally:
env.cr.execute(f'ROLLBACK TO SAVEPOINT {sp_name}')
if msg:
show(' blocked with', msg.splitlines()[0][:120])
finding('PASS' if fired else 'FAIL',
f'gate: {label}',
'blocked' if fired else f'NOT blocked (got: {msg[:60]!r})')
# Test 3: MO confirm without facility → expect block
step('SYSTEM', 'Test 3 — MO confirm with no facility → blocked')
def t_mo_facility():
saved_default = env.company.x_fc_default_facility_id
env.company.sudo().x_fc_default_facility_id = False
fac0 = env['fusion.plating.facility'].search([('active', '=', True)])
fac0.sudo().write({'active': False})
try:
m = env['mrp.production'].sudo().create({
'product_id': mo.product_id.id,
'product_qty': 1,
'company_id': env.company.id,
})
m.action_confirm() # should raise — no facility resolvable
finally:
fac0.sudo().write({'active': True})
env.company.sudo().x_fc_default_facility_id = saved_default
neg_test('MO confirm without facility', t_mo_facility,
['facility'])
# Test 4: Cert issue without spec_reference
step('SYSTEM', 'Test 4 — Cert action_issue() without spec_reference → blocked')
def t_cert_spec():
c = env['fp.certificate'].sudo().create({
'partner_id': customer.id,
'production_id': mo.id,
'certificate_type': 'coc',
'spec_reference': False,
})
c.action_issue()
neg_test('cert issue without spec_reference', t_cert_spec,
['Spec', 'spec_reference'])
# Test 5: Delivery mark_delivered without POD
step('SYSTEM', 'Test 5 — Delivery mark_delivered() with no POD → blocked')
def t_dlv_pod():
d = env['fusion.plating.delivery'].sudo().create({
'partner_id': customer.id,
'state': 'en_route',
'company_id': env.company.id,
})
d.action_mark_delivered()
neg_test('delivery delivered without POD', t_dlv_pod,
['POD', 'Proof of Delivery'])
# Test 6: Invoice post without payment terms
step('SYSTEM', 'Test 6 — Invoice post() with no payment terms → blocked')
def t_inv_terms():
saved_term = customer.property_payment_term_id
customer.sudo().property_payment_term_id = False
try:
i = env['account.move'].sudo().create({
'move_type': 'out_invoice',
'partner_id': customer.id,
'invoice_date': fields.Date.today(),
'invoice_line_ids': [(0, 0, {
'name': 'Test plating service',
'quantity': 1,
'price_unit': 100.0,
})],
})
i.invoice_payment_term_id = False
i.action_post()
finally:
customer.sudo().property_payment_term_id = saved_term
neg_test('invoice post without payment terms', t_inv_terms,
['payment term'])
# Test 7: Thickness reading without calibration_std_ref
step('SYSTEM', 'Test 7 — Thickness reading without calibration_std_ref → blocked')
def t_thickness_cal():
env['fp.thickness.reading'].sudo().create({
'production_id': mo.id,
'reading_number': 99,
'nip_mils': 0.05,
'calibration_std_ref': False,
})
neg_test('thickness reading without cal std', t_thickness_cal,
['calibration', 'required', 'not-null', 'null value'])
# =====================================================================
banner('PHASE 5 — Operators run their work orders (REAL-TIME timers)')
# =====================================================================
@@ -514,9 +653,26 @@ if dlv:
try:
if dlv.state == 'draft': dlv.with_user(users['dave']).sudo().action_schedule()
if dlv.state == 'scheduled': dlv.with_user(users['dave']).sudo().action_start_route()
# POD must be captured BEFORE marking delivered (new gate)
if dlv.state == 'en_route' and not dlv.pod_id:
step('DAVE', 'Captures POD on iPad — recipient signs + photo')
POD = env['fusion.plating.proof.of.delivery']
pod = POD.with_user(users['dave']).sudo().create({
'delivery_id': dlv.id,
'partner_id': dlv.partner_id.id,
'recipient_name': 'Dock Receiver',
'notes': 'E2E sim — recipient on dock signed for parts',
})
dlv.sudo().pod_id = pod.id
show(' POD captured', f'{pod.name} (id={pod.id})')
if dlv.state == 'en_route': dlv.with_user(users['dave']).sudo().action_mark_delivered()
except Exception as e:
print(f' [info] delivery transitions: {e}')
# ===== Negative test: try to mark another delivery delivered without POD =====
finding('PASS' if dlv.pod_id else 'FAIL',
'POD captured before delivery',
f'pod_id={dlv.pod_id.name if dlv.pod_id else "NONE"}')
finding('PASS' if dlv.state == 'delivered' else 'FAIL',
'delivery final state', dlv.state)
coc_logs = env['fusion.plating.chain.of.custody'].search(

View File

@@ -0,0 +1,338 @@
# -*- coding: utf-8 -*-
"""Comprehensive required-fields audit.
For each major model in the quote → invoice workflow:
• Lists fields currently marked `required=True` in the schema
• For the most recent COMPLETED record, shows which compliance-
relevant fields are empty (gap candidates)
• Classifies each gap by severity:
CRITICAL — compliance blocker (aerospace / Nadcap / env.)
IMPORTANT — workflow / operational risk
NICE — would improve reporting
The report is purely diagnostic — it changes nothing in the DB.
"""
env = env # noqa
from collections import defaultdict
def section(title):
print(f'\n{"="*78}\n {title}\n{"="*78}')
def show_field_audit(model_name, record, candidate_fields):
"""For one record, show which of `candidate_fields` are empty.
candidate_fields: list of (field, severity, reason) tuples
"""
if not record:
print(f' (no record found for {model_name})')
return
print(f' Record: {record.display_name} (id={record.id})')
# First show what's currently required in the schema
required_in_schema = [
n for n, f in record._fields.items()
if getattr(f, 'required', False)
]
print(f' Already required in schema: {len(required_in_schema)}')
print(f' Candidate fields needing enforcement:')
for field, severity, reason in candidate_fields:
if field not in record._fields:
continue
val = record[field]
is_empty = (
not val
or (hasattr(val, '_name') and not val.ids)
or val in ('', False, 0, 0.0)
)
sym = {'CRITICAL': '🔴', 'IMPORTANT': '🟡', 'NICE': ''}[severity]
marker = '✗ EMPTY' if is_empty else '✓ filled'
val_str = str(val)[:60] if not is_empty else ''
print(f' {sym} {severity:<9} {field:<32} {marker:<10} {reason}')
print(f' currently: {val_str!r}')
# =====================================================================
section('1. Customer (res.partner) — most recently used customer')
# =====================================================================
partner = env['sale.order'].search([], order='id desc', limit=1).partner_id
show_field_audit('res.partner', partner, [
('email', 'CRITICAL', 'Notifications + portal access — silent fail without it'),
('phone', 'IMPORTANT', 'Operator can call for clarification'),
('street', 'CRITICAL', 'Required on BoL + Invoice + delivery — no shipping without'),
('city', 'CRITICAL', 'Same'),
('zip', 'CRITICAL', 'Same'),
('country_id', 'CRITICAL', 'Determines tax + ITAR / CGP rules'),
('vat', 'IMPORTANT', 'HST/GST registration number — needed on invoice'),
('property_payment_term_id', 'IMPORTANT', 'Net-30 vs Net-60 controls invoice due date'),
('x_fc_account_hold', 'NICE', 'Default False is fine; only set when collections issue'),
('x_fc_send_coc', 'NICE', 'Per-customer CoC delivery preference'),
])
# =====================================================================
section('2. Sale Order (sale.order) — most recent SO')
# =====================================================================
so = env['sale.order'].search([], order='id desc', limit=1)
show_field_audit('sale.order', so, [
('partner_id', 'CRITICAL', 'Already required by Odoo'),
('client_order_ref', 'CRITICAL', 'Customer PO# — every aero customer requires this on every doc'),
('x_fc_po_number', 'CRITICAL', 'Same — FP-specific mirror'),
('x_fc_coating_config_id', 'CRITICAL', 'Drives recipe + price + spec'),
('x_fc_part_catalog_id', 'IMPORTANT', 'Part the order is about — needed for traceability'),
('x_fc_delivery_method', 'IMPORTANT', 'Pickup / drop / courier — drives logistics'),
('x_fc_rfq_attachment_id', 'NICE', 'Original customer RFQ for audit trail'),
('x_fc_po_attachment_id', 'IMPORTANT', 'Customer signed PO PDF'),
('payment_term_id', 'IMPORTANT', 'Net terms — derived from customer if unset'),
('user_id', 'IMPORTANT', 'Salesperson — needed for commission + handoff'),
])
# =====================================================================
section('3. Receiving (fp.receiving) — most recent record')
# =====================================================================
recv = env['fp.receiving'].search([], order='id desc', limit=1)
show_field_audit('fp.receiving', recv, [
('sale_order_id', 'CRITICAL', 'Without this we lose the link to the job'),
('partner_id', 'CRITICAL', 'Customer (related, but can drift)'),
('received_by_id', 'CRITICAL', 'Who counted the parts (audit trail)'),
('received_date', 'CRITICAL', 'When the parts arrived (compliance + start-clock)'),
('expected_qty', 'CRITICAL', 'Without this no qty-match check'),
('received_qty', 'CRITICAL', 'The actual count (compliance — discrepancy log)'),
('carrier_name', 'IMPORTANT', 'Who delivered — chain-of-custody starts here'),
('carrier_tracking', 'IMPORTANT', 'Inbound tracking #'),
('notes', 'NICE', 'Free-form receiver observations'),
])
# =====================================================================
section('4. MRP Production (mrp.production) — most recent MO')
# =====================================================================
mo = env['mrp.production'].search([('state', '=', 'done')], order='id desc', limit=1)
show_field_audit('mrp.production', mo, [
('product_id', 'CRITICAL', 'Already required by Odoo'),
('product_qty', 'CRITICAL', 'Same'),
('x_fc_facility_id', 'CRITICAL', 'Where the job is being made (compliance)'),
('x_fc_recipe_id', 'CRITICAL', 'Which process — without it WOs can\'t be generated'),
('x_fc_assigned_manager_id','IMPORTANT','Manager responsible for the job'),
('x_fc_customer_spec_id','IMPORTANT', 'Customer spec controlling the job (e.g. AMS 2404)'),
('x_fc_portal_job_id', 'IMPORTANT', 'Portal-facing job tracker'),
('origin', 'CRITICAL', 'Source SO — needed for back-link'),
('company_id', 'CRITICAL', 'Multi-company correctness (just fixed)'),
])
# =====================================================================
section('5. Work Orders (mrp.workorder) — wet WO from most recent MO')
# =====================================================================
wet_wo = mo.workorder_ids.filtered(
lambda w: hasattr(w, '_fp_is_wet_process') and w._fp_is_wet_process()
)[:1] if mo else env['mrp.workorder']
show_field_audit('mrp.workorder', wet_wo, [
('x_fc_assigned_user_id', 'CRITICAL', 'NOW ENFORCED via button_start gate'),
('x_fc_bath_id', 'CRITICAL', 'NOW ENFORCED — chemistry traceability'),
('x_fc_tank_id', 'CRITICAL', 'NOW ENFORCED — physical tank audit'),
('x_fc_facility_id', 'CRITICAL', 'Which plant ran it (multi-facility shops)'),
('x_fc_thickness_target', 'IMPORTANT', 'Spec target — drives QC accept/reject criteria'),
('x_fc_dwell_time_minutes','IMPORTANT','Recipe dwell — needed for cycle-time analytics'),
('x_fc_rack_id', 'IMPORTANT', 'Which rack/fixture used (per-rack MTO tracking)'),
('x_fc_started_by_user_id','IMPORTANT','Who actually started it (audit, may differ from assigned)'),
('x_fc_finished_by_user_id','IMPORTANT','Who finished it'),
])
# =====================================================================
section('6. Bath Log (fusion.plating.bath.log)')
# =====================================================================
baths = env['fusion.plating.bath.log'].search([], order='id desc', limit=1)
show_field_audit('fusion.plating.bath.log', baths, [
('bath_id', 'CRITICAL', 'Which bath the readings came from'),
('shift', 'IMPORTANT', 'Day/swing/night — for shift-effect analysis'),
('user_id', 'CRITICAL', 'Operator who took the readings (audit trail)'),
('logged_at', 'CRITICAL', 'When the readings were taken'),
('line_ids', 'CRITICAL', 'The actual chemistry numbers (the whole point)'),
('notes', 'NICE', 'Free-form observations'),
])
# =====================================================================
section('7. Certificate (fp.certificate) — most recent CoC')
# =====================================================================
coc = env['fp.certificate'].search(
[('certificate_type', '=', 'coc')], order='id desc', limit=1)
show_field_audit('fp.certificate', coc, [
('partner_id', 'CRITICAL', 'Customer the cert belongs to'),
('production_id', 'CRITICAL', 'Which MO it certifies'),
('po_number', 'CRITICAL', 'Customer PO — required by aero specs'),
('spec_reference', 'CRITICAL', 'AMS 2404 / MIL-C-26074 etc. — what was met'),
('process_description','IMPORTANT','Human-readable process name'),
('part_number', 'IMPORTANT', 'Part the cert covers'),
('quantity_shipped', 'CRITICAL', 'How many parts certified'),
('thickness_reading_ids','CRITICAL','Fischerscope readings (NOW AUTO-LINKED)'),
('attachment_id', 'CRITICAL', 'The PDF itself (NOW AUTO-RENDERED)'),
('issued_by_id', 'CRITICAL', 'Inspector signature — who certified this'),
('issued_date', 'CRITICAL', 'When issued'),
('state', 'CRITICAL', 'draft/issued/voided — NOT issued = NOT compliant'),
])
# =====================================================================
section('8. Thickness Reading (fp.thickness.reading)')
# =====================================================================
reading = env['fp.thickness.reading'].search([], order='id desc', limit=1)
show_field_audit('fp.thickness.reading', reading, [
('production_id', 'CRITICAL', 'Which MO this reading is from'),
('certificate_id', 'CRITICAL', 'Which cert (auto-linked at MO done)'),
('reading_number', 'CRITICAL', 'Sequence (n=1, n=2, n=3 — Nadcap requires this)'),
('nip_mils', 'CRITICAL', 'The thickness measurement itself'),
('ni_percent', 'IMPORTANT', 'Composition — affects bath chemistry diagnosis'),
('p_percent', 'IMPORTANT', 'Same'),
('position_label', 'CRITICAL', 'WHERE on the part (Nadcap requires location)'),
('equipment_model', 'CRITICAL', 'Which gauge — calibration trail'),
('calibration_std_ref', 'CRITICAL', 'Which calibration standard — Nadcap req'),
('operator_id', 'CRITICAL', 'Who took the reading'),
('reading_datetime', 'CRITICAL', 'When'),
])
# =====================================================================
section('9. Delivery (fusion.plating.delivery)')
# =====================================================================
dlv = env['fusion.plating.delivery'].search(
[('state', '=', 'delivered')], order='id desc', limit=1)
show_field_audit('fusion.plating.delivery', dlv, [
('partner_id', 'CRITICAL', 'Already required'),
('scheduled_date', 'CRITICAL', 'When the customer expects parts (NOW PREFILLED)'),
('assigned_driver_id', 'CRITICAL', 'Who is driving (NOW PREFILLED)'),
('vehicle_id', 'IMPORTANT', 'Which vehicle (insurance + GPS)'),
('delivered_at', 'CRITICAL', 'When delivery was completed'),
('contact_name', 'IMPORTANT', 'Recipient on the receiving dock'),
('contact_phone', 'IMPORTANT', 'Driver can call before arriving'),
('coc_attachment_id', 'CRITICAL', 'CoC PDF that goes with the parts'),
('packing_list_attachment_id','IMPORTANT','Packing slip'),
('delivery_address_id','IMPORTANT', 'Override default partner ship-to'),
('pod_id', 'CRITICAL', 'Proof of delivery — without it, we can\'t bill'),
])
# =====================================================================
section('10. Invoice (account.move) — most recent posted invoice')
# =====================================================================
inv = env['account.move'].search(
[('move_type', '=', 'out_invoice'), ('state', '=', 'posted')],
order='id desc', limit=1)
show_field_audit('account.move', inv, [
('partner_id', 'CRITICAL', 'Already required'),
('invoice_date', 'CRITICAL', 'When invoiced — drives net-terms clock'),
('invoice_date_due', 'CRITICAL', 'When payment due'),
('invoice_payment_term_id','CRITICAL', 'Net-30 etc.'),
('invoice_user_id', 'IMPORTANT', 'Salesperson — for commission'),
('partner_bank_id', 'IMPORTANT', 'Where to wire payment'),
('ref', 'CRITICAL', 'Customer PO# / reference (required by AP teams)'),
('invoice_origin', 'CRITICAL', 'Source SO link'),
('narration', 'NICE', 'Free-form notes'),
])
# =====================================================================
section('11. Workforce — Quality Hold + NCR + CAPA (open + completed)')
# =====================================================================
# Sample Quality Hold if any
qh = env.get('fusion.plating.quality.hold')
if qh is not None:
rec = qh.search([], order='id desc', limit=1)
show_field_audit('fusion.plating.quality.hold', rec, [
('partner_id', 'CRITICAL', 'Customer — without it we can\'t notify'),
('mo_id', 'CRITICAL', 'Which MO'),
('hold_reason', 'CRITICAL', 'Selection — categorize the issue'),
('description', 'CRITICAL', 'Inspector\'s narrative'),
('qty_on_hold', 'CRITICAL', 'How many parts affected'),
('inspector_id', 'CRITICAL', 'Who flagged it'),
('created_at', 'CRITICAL', 'When'),
])
ncr = env.get('fusion.plating.ncr')
if ncr is not None:
rec = ncr.search([], order='id desc', limit=1)
show_field_audit('fusion.plating.ncr', rec, [
('name', 'CRITICAL', 'NCR# / sequence'),
('partner_id', 'CRITICAL', 'Customer affected'),
('production_id', 'CRITICAL', 'Source MO'),
('description', 'CRITICAL', 'What went wrong'),
('severity', 'CRITICAL', 'Critical / major / minor'),
('containment_action', 'CRITICAL', 'Immediate action — Nadcap req'),
('root_cause', 'CRITICAL', 'Why — required to close'),
('corrective_action', 'CRITICAL', 'Fix — required to close'),
('disposition', 'CRITICAL', 'Use-as-is / scrap / rework — decision'),
('raised_by_id', 'CRITICAL', 'Who raised it'),
('raised_date', 'CRITICAL', 'When'),
])
capa = env.get('fusion.plating.capa')
if capa is not None:
rec = capa.search([], order='id desc', limit=1)
show_field_audit('fusion.plating.capa', rec, [
('name', 'CRITICAL', 'CAPA#'),
('owner_id', 'CRITICAL', 'Owner / champion'),
('due_date', 'CRITICAL', 'Deadline'),
('problem_description', 'CRITICAL', 'What\'s the recurring issue'),
('root_cause', 'CRITICAL', 'Why-why analysis — required'),
('corrective_action', 'CRITICAL', 'Fix the existing'),
('preventive_action', 'CRITICAL', 'Prevent recurrence'),
('verification_evidence', 'CRITICAL', 'Proof the fix worked'),
('effectiveness_date', 'IMPORTANT','When effectiveness confirmed'),
])
# =====================================================================
section('12. Compliance: discharge sample + waste manifest + spill')
# =====================================================================
DS = env.get('fusion.plating.discharge.sample')
if DS is not None:
rec = DS.search([], order='id desc', limit=1)
show_field_audit('fusion.plating.discharge.sample', rec, [
('sample_date', 'CRITICAL', 'When the sample was taken (regulatory)'),
('sampled_by_id', 'CRITICAL', 'Who'),
('outfall_id', 'CRITICAL', 'Which discharge point (jurisdictional req)'),
('parameter_id', 'CRITICAL', 'What pollutant'),
('value_measured', 'CRITICAL', 'The reading itself'),
('limit_value', 'CRITICAL', 'The regulatory limit'),
('exceeds_limit', 'CRITICAL', 'Pass/fail — drives mandatory reporting'),
('lab_cert_attachment_id','CRITICAL','Lab cert — required for regulator'),
])
WM = env.get('fusion.plating.waste.manifest')
if WM is not None:
rec = WM.search([], order='id desc', limit=1)
show_field_audit('fusion.plating.waste.manifest', rec, [
('manifest_number', 'CRITICAL', 'Government tracking #'),
('generator_id', 'CRITICAL', 'Who generated the waste (us)'),
('hauler_id', 'CRITICAL', 'Who picked it up (carrier)'),
('disposal_facility_id','CRITICAL','Where it went (landfill / treatment)'),
('waste_code', 'CRITICAL', 'EPA / TDG hazardous code'),
('quantity', 'CRITICAL', 'How much'),
('uom', 'CRITICAL', 'Unit'),
('shipped_date', 'CRITICAL', 'When shipped'),
('received_date', 'CRITICAL', 'When received at disposal — closes the loop'),
])
# =====================================================================
section('SUMMARY — gap counts by severity')
# =====================================================================
print(' See per-model details above. Critical gaps are real')
print(' compliance / workflow blockers; Important are operational')
print(' risks; Nice-to-have are quality-of-life.')
print()
print(' Recommended next-batch fixes (in priority order):')
print(' 1. invoice.ref auto-fill from sale_order.client_order_ref')
print(' (so customer PO# always lands on the invoice)')
print(' 2. fp.receiving.received_by_id default + required on accept')
print(' 3. mrp.production.x_fc_facility_id required (block confirm)')
print(' 4. fp.certificate.spec_reference required to issue')
print(' 5. fp.delivery.pod_id required to mark "delivered"')
print(' 6. fp.thickness.reading.position_label + calibration_std_ref required')
print(' 7. ncr/capa state-transition gates (can\'t close without root_cause)')
print(' 8. discharge.sample.lab_cert_attachment_id required to mark complete')