11cc261923
receipt_parser: change _ocr_image_vision() to extract structured JSON
{vendor,amount,date,time,category} directly from the image instead of
transcribing raw text, so the downstream LLM extraction step is
unnecessary and the two-step error-compounding is eliminated.
expenses_agent: add _match_category() helper to map vision category
labels to expense product names via substring/fuzzy match; add fast
path in _parse_receipt_text() that detects pre-extracted vision JSON
(text starts with '{') and skips the second LLM submit call entirely.
Fix text[:2000] truncation that discarded receipt totals — now keeps
first 1500 + last 1500 chars of long receipts so the grand total at
the bottom is always included.
tests: fix stale test_act_enters_awaiting_confirmation_on_first_pass
(confirmation gate was removed); add TestMatchCategory and three new
tests for the vision JSON fast path and LLM fallthrough.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
518 lines
24 KiB
Python
518 lines
24 KiB
Python
from __future__ import annotations
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import asyncio
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import difflib
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import json
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import logging
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from datetime import date as _date
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from .base_agent import BaseAgent, AgentReport, AgentDirective, SweepReport
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from ..tools.expenses_tools import ExpensesTools
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logger = logging.getLogger(__name__)
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EXPENSES_TOOLS = [
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{'name': 'get_expenses', 'description': 'Retrieve expense records',
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'parameters': {'employee_id': {'type': 'integer', 'optional': True},
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'state': {'type': 'string', 'optional': True},
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'date_from': {'type': 'string', 'optional': True},
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'date_to': {'type': 'string', 'optional': True},
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'limit': {'type': 'integer', 'optional': True}}},
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{'name': 'get_expense_sheets', 'description': 'Get expense report sheets',
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'parameters': {'state': {'type': 'string', 'optional': True},
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'employee_id': {'type': 'integer', 'optional': True},
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'limit': {'type': 'integer', 'optional': True}}},
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{'name': 'get_pending_approvals', 'description': 'Get expense sheets pending approval',
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'parameters': {}},
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{'name': 'approve_expense_sheet', 'description': 'Approve an expense sheet',
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'parameters': {'sheet_id': {'type': 'integer'}}},
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{'name': 'get_expenses_summary', 'description': 'Get expense summary for a period',
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'parameters': {'date_from': {'type': 'string', 'optional': True},
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'date_to': {'type': 'string', 'optional': True}}},
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{'name': 'get_expense_by_employee', 'description': 'Get expenses for a specific employee',
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'parameters': {'employee_id': {'type': 'integer'},
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'limit': {'type': 'integer', 'optional': True}}},
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{'name': 'flag_for_review', 'description': 'Flag an expense for review',
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'parameters': {'model': {'type': 'string'}, 'record_id': {'type': 'integer'},
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'reason': {'type': 'string'},
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'severity': {'type': 'string', 'optional': True}}},
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{'name': 'post_chatter_note', 'description': 'Post a note on a record',
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'parameters': {'model': {'type': 'string'}, 'record_id': {'type': 'integer'},
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'note': {'type': 'string'}}},
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]
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class ExpensesAgent(BaseAgent):
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name = 'expenses_agent'
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domain = 'expenses'
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required_odoo_module = 'hr_expense'
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system_prompt_file = 'expenses_system.txt'
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tools = EXPENSES_TOOLS
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def __init__(self, odoo, llm, peer_bus=None):
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super().__init__(odoo, llm, peer_bus)
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self._et = ExpensesTools(odoo)
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self._gathered_data: dict = {}
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self._actions_taken: list = []
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self._escalations_list: list = []
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async def _plan(self) -> dict:
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task = (self._directive.task if self._directive else '').lower()
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receipts = getattr(self._directive.context, 'receipts', []) if self._directive else []
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# The master LLM rewrites the user message into intent_summary (task).
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# Also check the original raw_message threaded through peer_data so
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# short replies like "skip duplicates" are detected even when rewritten.
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raw_msg = ''
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if self._directive and self._directive.context:
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raw_msg = (self._directive.context.peer_data.get('raw_message') or '').lower()
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combined = task + ' ' + raw_msg
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# Detect whether the user is responding to a duplicate-approval request
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skip_keywords = ('skip', 'remove duplicate', 'exclude duplicate', 'drop duplicate')
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keep_keywords = ('keep all', 'keep both', 'include all', 'no skip', "don't skip")
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confirm_keywords = ('confirm', 'looks good', 'go ahead', 'proceed', 'create it', 'create them')
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if any(k in combined for k in keep_keywords):
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user_dup_decision = 'keep_all'
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elif any(k in combined for k in skip_keywords):
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user_dup_decision = 'skip'
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else:
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user_dup_decision = 'skip' # default: skip duplicates when confirmed
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user_confirmed = any(k in combined for k in confirm_keywords)
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return {
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'mode': 'create_from_receipts' if receipts else 'read',
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'user_dup_decision': user_dup_decision,
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'user_confirmed': user_confirmed,
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'fetch_summary': any(k in task for k in ('summary', 'overview')) and not receipts,
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'fetch_pending': any(k in task for k in ('pending', 'approve', 'approval')) and not receipts,
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'employee_id': self._directive.params.get('employee_id') if self._directive else None,
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'date_from': self._directive.params.get('date_from') if self._directive else None,
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'date_to': self._directive.params.get('date_to') if self._directive else None,
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}
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async def _gather(self, plan: dict) -> dict:
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data: dict = {'mode': plan.get('mode', 'read'),
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'user_dup_decision': plan.get('user_dup_decision', 'skip'),
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'user_confirmed': plan.get('user_confirmed', False)}
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if plan.get('mode') == 'create_from_receipts':
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self._gathered_data = data
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return data
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data['summary'] = await self._et.get_expenses_summary(
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date_from=plan.get('date_from'), date_to=plan.get('date_to'),
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)
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if plan.get('fetch_pending'):
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data['pending'] = await self._et.get_pending_approvals()
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self._gathered_data = data
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return data
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async def _reason(self) -> dict:
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data = self._gathered_data
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analysis: dict = {'escalations': [], 'flags': []}
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if data.get('mode') == 'create_from_receipts':
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self._escalations_list = []
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return analysis
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summary = data.get('summary', {})
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if summary.get('pending_approval_count', 0) > 10:
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analysis['escalations'].append(
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f'{summary["pending_approval_count"]} expense sheets pending approval.'
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)
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self._escalations_list = analysis['escalations']
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return analysis
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async def _act(self, reasoning: dict) -> list:
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if self._gathered_data.get('mode') != 'create_from_receipts':
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return []
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receipts = getattr(self._directive.context, 'receipts', []) if self._directive else []
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if not receipts:
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return []
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user_dup_decision = self._gathered_data.get('user_dup_decision', 'skip')
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user_confirmed = self._gathered_data.get('user_confirmed', False)
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user_id = (self._directive.context.peer_data.get('requesting_user_id')
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if self._directive else None)
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employee_id = await self._et.get_employee_id_for_user(user_id)
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if not employee_id:
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self._escalations_list.append(
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'No employee record found for the current user; cannot create expense report.')
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return []
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expense_products = await self._et.get_expense_products()
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default_product_id = expense_products[0]['id'] if expense_products else None
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product_map = {p['id']: p['name'] for p in expense_products}
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# Pass 1: byte-exact dedup
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seen_hashes: set = set()
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unique_receipts = []
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for r in receipts:
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h = r.get('sha256')
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if h and h in seen_hashes:
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logger.info('expenses_agent: skipping byte-identical receipt %s', r.get('filename'))
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continue
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if h:
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seen_hashes.add(h)
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unique_receipts.append(r)
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# Parse all receipts concurrently
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parse_tasks = [
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self._parse_receipt_text(
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r.get('text', ''), r.get('filename', 'receipt'),
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expense_products=expense_products,
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date_hint=r.get('date_from_name'),
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)
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for r in unique_receipts
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]
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raw_parsed = await asyncio.gather(*parse_tasks, return_exceptions=True)
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paired: list[tuple[dict, dict]] = []
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for receipt, parsed in zip(unique_receipts, raw_parsed):
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if isinstance(parsed, Exception):
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logger.warning('expenses_agent: parse failed for %s: %s',
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receipt.get('filename'), parsed)
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parsed = {'vendor': receipt.get('filename', 'Expense'), 'amount': 0.0,
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'date': receipt.get('date_from_name') or _date.today().isoformat(),
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'time': None, 'product_name': ''}
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paired.append((receipt, parsed))
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# Pass 2: semantic dedup
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deduped: list[tuple[dict, dict]] = []
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dup_indices: set[int] = set() # indices into `paired` that are duplicates
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for i, (receipt, parsed) in enumerate(paired):
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dup_idx = self._find_semantic_duplicate(parsed, deduped)
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if dup_idx is not None:
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dup_indices.add(i)
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if len(receipt.get('text', '')) > len(deduped[dup_idx][0].get('text', '')):
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deduped[dup_idx] = (receipt, parsed)
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else:
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deduped.append((receipt, parsed))
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# Auto-skip semantic duplicates by default; keep_all only if user explicitly asked.
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# Receipts are only available in this single /upload request — there is no
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# persistent receipt store across turns, so a "confirm then create" flow would
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# always fail on the follow-up turn (no receipts in context). Creating
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# immediately in draft state is the correct approach: users review and
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# submit inside Odoo > Expenses.
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n_skipped = len(paired) - len(deduped)
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self._gathered_data['n_skipped'] = n_skipped
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final_list = paired if user_dup_decision == 'keep_all' else deduped
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sheet_name = f'Expense Report - {_date.today().isoformat()}'
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sheet_result = await self._et.create_expense_sheet(sheet_name, employee_id)
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if not sheet_result.success:
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self._escalations_list.append(f'Failed to create expense sheet: {sheet_result.error}')
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return []
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sheet_id = sheet_result.record_id
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actions = [f'Created expense sheet "{sheet_name}" (ID {sheet_id})']
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for receipt, parsed in final_list:
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product_id = default_product_id
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chosen_name = parsed.get('product_name', '')
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if chosen_name:
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for p in expense_products:
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if p['name'].lower() == chosen_name.lower():
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product_id = p['id']
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break
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expense_result = await self._et.create_expense(
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sheet_id=sheet_id,
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employee_id=employee_id,
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name=str(parsed.get('vendor', receipt.get('filename', 'Expense')))[:64],
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total_amount=float(parsed.get('amount', 0.0)),
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date=str(parsed.get('date') or _date.today().isoformat()),
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product_id=product_id,
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)
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if expense_result.success:
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cat = product_map.get(product_id, 'Expense')
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actions.append(
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f"Added: {parsed.get('vendor', 'Unknown vendor')} "
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f"${float(parsed.get('amount', 0)):.2f} "
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f"({cat}) on {parsed.get('date', 'today')}"
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)
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if receipt.get('b64'):
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await self._et.attach_receipt(
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'hr.expense', expense_result.record_id,
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receipt.get('filename', 'receipt'),
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receipt['b64'],
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receipt.get('mimetype', 'application/octet-stream'),
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)
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else:
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actions.append(
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f"Could not create expense for {receipt.get('filename', 'receipt')}: "
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f"{expense_result.error}"
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)
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self._actions_taken = actions
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return actions
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@staticmethod
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def _find_semantic_duplicate(parsed: dict, candidates: list) -> int | None:
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"""
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Return the index in `candidates` of a receipt that appears to be the
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same physical receipt as `parsed`, or None if no match found.
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Pass 1 — exact-amount match (all must pass):
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1. Same date
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2. Amount > 0 and within $0.05 of each other
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3. Transaction times within 30 min (if both present)
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4. Vendor similarity >= 60 % (or both vendors are raw filenames)
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Pass 2 — OCR-error match (amount may differ due to misread):
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1. Same date
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2. Both amounts > 0
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3. Vendor similarity >= 80 % (stricter threshold compensates for loose amount)
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4. Times within 30 min (if both present)
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"""
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amt = float(parsed.get('amount', 0))
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date = parsed.get('date', '')
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time = parsed.get('time') # HH:MM or None
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vendor = str(parsed.get('vendor', '')).lower().strip()
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is_filename = vendor.endswith(('.jpg', '.jpeg', '.png', '.gif', '.webp', '.bmp'))
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def _times_compatible(t1, t2) -> bool:
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"""Return False only when both times are present and >30 min apart."""
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if not (t1 and t2):
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return True
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try:
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h1, m1 = (int(p) for p in t1.split(':')[:2])
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h2, m2 = (int(p) for p in t2.split(':')[:2])
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return abs((h1 * 60 + m1) - (h2 * 60 + m2)) <= 30
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except Exception:
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return True
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# Pass 1: amount must match within $0.05
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for idx, (_, other) in enumerate(candidates):
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other_amt = float(other.get('amount', 0))
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if amt == 0 or other_amt == 0:
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continue
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if abs(amt - other_amt) > 0.05:
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continue
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if date != other.get('date', ''):
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continue
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if not _times_compatible(time, other.get('time')):
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continue
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other_vendor = str(other.get('vendor', '')).lower().strip()
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other_is_filename = other_vendor.endswith(
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('.jpg', '.jpeg', '.png', '.gif', '.webp', '.bmp'))
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if is_filename or other_is_filename:
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return idx
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if difflib.SequenceMatcher(None, vendor, other_vendor).ratio() >= 0.6:
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return idx
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# Pass 2: same vendor + same date even when amounts differ (OCR misread)
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if not is_filename:
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for idx, (_, other) in enumerate(candidates):
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other_amt = float(other.get('amount', 0))
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if amt == 0 or other_amt == 0:
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continue
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if date != other.get('date', ''):
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continue
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if not _times_compatible(time, other.get('time')):
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continue
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other_vendor = str(other.get('vendor', '')).lower().strip()
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if other_vendor.endswith(('.jpg', '.jpeg', '.png', '.gif', '.webp', '.bmp')):
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continue
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if difflib.SequenceMatcher(None, vendor, other_vendor).ratio() >= 0.80:
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return idx
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return None
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@staticmethod
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def _match_category(category: str, expense_products: list) -> str:
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"""Map a vision-model category label to the nearest expense product name.
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Tries exact/substring match first, then a fuzzy SequenceMatcher pass.
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Returns empty string when no reasonable match is found.
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"""
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if not expense_products or not category:
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return ''
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cat = category.lower().strip()
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# Exact or substring match
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for p in expense_products:
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name = p['name'].lower()
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if cat == name or cat in name or name in cat:
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return p['name']
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# Fuzzy fallback (ratio >= 0.4)
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names_lower = [p['name'].lower() for p in expense_products]
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matches = difflib.get_close_matches(cat, names_lower, n=1, cutoff=0.4)
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if matches:
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for p in expense_products:
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if p['name'].lower() == matches[0]:
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return p['name']
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return ''
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async def _parse_receipt_text(self, text: str, filename: str,
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expense_products: list = None,
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date_hint: str = None) -> dict:
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today = _date.today().isoformat()
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fallback = {'vendor': filename, 'amount': 0.0,
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'date': date_hint or today, 'time': None, 'product_name': ''}
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# ── Fast path: vision model already returned structured JSON ──────────
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# receipt_parser._ocr_image_vision() returns a JSON string directly
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# when a vision model is configured. Skip the second LLM call entirely.
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stripped = (text or '').strip()
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if stripped.startswith('{'):
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try:
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data = json.loads(stripped)
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if 'amount' in data:
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logger.debug('expenses_agent: using vision pre-extracted JSON for %s', filename)
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# Map the vision category label → expense product name
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product_name = self._match_category(
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data.get('category', ''), expense_products or [])
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# Vision model sometimes returns the string "null" instead of JSON null
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raw_time = data.get('time')
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time_val = None if raw_time in (None, 'null', 'None', '') else str(raw_time)
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return {
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'vendor': str(data.get('vendor') or filename),
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'amount': float(data.get('amount', 0.0)),
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'date': str(data.get('date') or date_hint or today),
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'time': time_val,
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'product_name': product_name,
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}
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except (json.JSONDecodeError, ValueError, TypeError):
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pass # not clean JSON — fall through to LLM path
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ocr_failed = not stripped or stripped.startswith('[')
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product_list = ''
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if expense_products:
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names = [p['name'] for p in expense_products]
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product_list = ', '.join(f'"{n}"' for n in names)
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if ocr_failed:
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# No OCR text — still try to classify category from filename/date
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if not product_list:
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return fallback
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prompt = (
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f'A receipt photo named "{filename}" could not be read by OCR. '
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f'Based only on the filename, pick the most likely expense category '
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f'from this list: [{product_list}]. '
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f'Return ONLY valid JSON: {{"product_name": "..."}}'
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)
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else:
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# Keep both the header (vendor/date) and footer (totals) of the receipt.
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# A plain [:N] cut discards the bottom of long receipts where the grand
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# total lives — the primary cause of amount=0 extraction errors.
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if len(stripped) > 3000:
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receipt_text = stripped[:1500] + '\n[...]\n' + stripped[-1500:]
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else:
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receipt_text = stripped
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prompt = (
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'Extract expense details from the following receipt text. '
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'Return ONLY valid JSON with these keys:\n'
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'"vendor" (string, merchant or restaurant name),\n'
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'"amount" (number — the FINAL total the customer paid; '
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'look for a line explicitly labeled "Total", "Grand Total", "Amount Due", or "Balance Due"; '
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'do NOT use subtotal, tax, tip, or individual line items; '
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'if the label is ambiguous choose the bottom-most total on the receipt; '
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'return 0 if no clear total is found),\n'
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f'"date" (string YYYY-MM-DD, use {date_hint or today} if not found in text),\n'
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'"time" (string HH:MM in 24-hour format — the transaction time printed on the receipt; '
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'null if not present),\n'
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f'"product_name" (string, pick the best match from [{product_list}] or empty string).\n\n'
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f'Receipt text:\n{receipt_text}\n\nJSON only:'
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)
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try:
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resp = await self._llm.submit(
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[{'role': 'user', 'content': prompt}],
|
||
caller='expenses_agent_receipt_parser',
|
||
)
|
||
raw = (resp.content or '').strip()
|
||
first, last = raw.find('{'), raw.rfind('}')
|
||
if first != -1 and last > first:
|
||
data = json.loads(raw[first:last + 1])
|
||
return {
|
||
'vendor': str(data.get('vendor', filename)),
|
||
'amount': float(data.get('amount', 0.0)),
|
||
'date': str(data.get('date') or date_hint or today),
|
||
'time': data.get('time') or None,
|
||
'product_name': str(data.get('product_name', '')),
|
||
}
|
||
except Exception as exc:
|
||
logger.warning('Receipt parse failed for %s: %s', filename, exc)
|
||
return fallback
|
||
|
||
async def _report(self) -> AgentReport:
|
||
data = self._gathered_data
|
||
directive_id = self._directive.directive_id if self._directive else ''
|
||
|
||
if data.get('mode') == 'create_from_receipts':
|
||
if self._actions_taken:
|
||
lines = '\n'.join(f' • {a}' for a in self._actions_taken)
|
||
n_skipped = data.get('n_skipped', 0)
|
||
dup_note = f'\n({n_skipped} duplicate receipt(s) were automatically skipped.)' if n_skipped else ''
|
||
summary = (
|
||
f'Expense report created successfully:\n{lines}{dup_note}\n\n'
|
||
'The report is in draft — open Odoo › Expenses, '
|
||
'review the amounts, and click Submit to send for approval.'
|
||
)
|
||
status = 'complete'
|
||
else:
|
||
summary = ('Could not create expense report. ' +
|
||
'; '.join(self._escalations_list or ['Unknown error']))
|
||
status = 'failed'
|
||
return AgentReport(
|
||
directive_id=directive_id, agent=self.name, status=status,
|
||
summary=summary, data=data,
|
||
escalations=self._escalations_list, actions_taken=self._actions_taken)
|
||
|
||
summary_data = data.get('summary', {})
|
||
parts = []
|
||
if summary_data:
|
||
parts.append(
|
||
f'Expenses: {summary_data.get("total_expenses", 0)} records, '
|
||
f'total ${summary_data.get("total_amount", 0):.2f}. '
|
||
f'{summary_data.get("pending_approval_count", 0)} pending approval.'
|
||
)
|
||
if not parts:
|
||
parts.append('Expenses review complete.')
|
||
return AgentReport(
|
||
directive_id=directive_id, agent=self.name, status='complete',
|
||
summary='\n'.join(parts), data=data,
|
||
escalations=self._escalations_list, actions_taken=[])
|
||
|
||
async def _dispatch_tool(self, name: str, args: dict):
|
||
dispatch = {
|
||
'get_expenses': self._et.get_expenses,
|
||
'get_expense_sheets': self._et.get_expense_sheets,
|
||
'get_pending_approvals': self._et.get_pending_approvals,
|
||
'approve_expense_sheet': self._et.approve_expense_sheet,
|
||
'get_expenses_summary': self._et.get_expenses_summary,
|
||
'get_expense_by_employee': self._et.get_expense_by_employee,
|
||
'flag_for_review': self._et.flag_for_review,
|
||
'post_chatter_note': self._et.post_chatter_note,
|
||
}
|
||
if name not in dispatch:
|
||
raise ValueError(f'Unknown tool: {name}')
|
||
return await dispatch[name](**args)
|
||
|
||
async def handle_peer_request(self, request_type: str, params: dict, directive_id: str) -> dict:
|
||
try:
|
||
if request_type == 'expenses_summary':
|
||
return await self._et.get_expenses_summary()
|
||
if request_type == 'employee_expenses':
|
||
return {'expenses': await self._et.get_expense_by_employee(
|
||
employee_id=params['employee_id'])}
|
||
return {'error': f'Unknown type: {request_type}'}
|
||
except Exception as exc:
|
||
return {'error': str(exc)}
|
||
|
||
async def sweep(self) -> SweepReport:
|
||
findings = []
|
||
try:
|
||
pending = await self._et.get_pending_approvals()
|
||
for sheet in pending:
|
||
emp = sheet.get('employee_id', [0, ''])
|
||
findings.append({
|
||
'type': 'pending_expense_approval',
|
||
'sheet_id': sheet.get('id'),
|
||
'employee': emp[1] if isinstance(emp, list) else '',
|
||
'amount': sheet.get('total_amount', 0),
|
||
'severity': 'low',
|
||
})
|
||
except Exception as exc:
|
||
return SweepReport(agent=self.name, findings=[], error=str(exc))
|
||
return SweepReport(agent=self.name, findings=findings, actions_taken=[],
|
||
summary=f'Expenses sweep: {len(findings)} pending approvals.')
|