1d52d85a78
Implements full Phase 1 of the activeblue_familylaw Odoo 18 module: - 17 Python models (fl.case, fl.party, fl.child, fl.support.calculation, fl.fee.waiver, fl.income.withholding, fl.deadline, fl.hearing, fl.deposition, fl.discovery, fl.document, fl.caselaw, fl.analysis, fl.ai.engine, fl.argument, fl.statute, fl.issue.tag) + hr.expense extension - 3 wizard stubs (intake, analysis, generate-packet) - Security: 4 groups (admin/paralegal/portal-petitioner/portal-respondent) + record rules scoping portal users to their own cases - Seed data: issue tags, FL statutes, FL DCF support schedule, ir.sequence - 13 backend view XML files with FL 61.30 worksheet, fee waiver eligibility banner, DV safety resources, emancipation alerts - Static CSS/JS stubs for Phase 6 portal Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
79 lines
2.4 KiB
Python
79 lines
2.4 KiB
Python
import json
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from odoo import models
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OLLAMA_URL = 'http://192.168.2.10:11434/api/generate'
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OLLAMA_MODEL = 'llama3.1'
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class FlAiEngine(models.AbstractModel):
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"""
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Phase 5 — Full Ollama integration.
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Phase 1: Stub service model.
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This is an AbstractModel — not stored in the database.
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Used as a service class for AI analysis calls.
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"""
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_name = 'fl.ai.engine'
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_description = 'Family Law AI Analysis Engine (Ollama)'
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def analyze_case(self, case_id):
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"""
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Phase 5 entry point.
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Full workflow:
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1. Rule-based issue tagging
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2. Build case context JSON
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3. Call Ollama (llama3.1)
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4. Parse JSON response
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5. Store fl.analysis record
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"""
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case = self.env['fl.case'].browse(case_id)
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analysis = self.env['fl.analysis'].create({
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'case_id': case.id,
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'state': 'pending',
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'model_used': OLLAMA_MODEL,
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'plain_english_summary': (
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'AI analysis not yet implemented. '
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'Full analysis will be available in Phase 5.'
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),
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'plain_english_summary_es': (
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'El análisis de IA aún no está implementado. '
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'El análisis completo estará disponible en la Fase 5.'
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),
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'state': 'complete',
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})
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return analysis
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def _call_ollama(self, prompt):
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"""Call Ollama API and return parsed JSON response."""
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try:
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import requests
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except ImportError:
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raise RuntimeError(
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'requests library not available. '
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'Install with: pip install requests'
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)
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response = requests.post(
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OLLAMA_URL,
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json={
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'model': OLLAMA_MODEL,
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'prompt': prompt,
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'stream': False,
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'options': {
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'temperature': 0.1,
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'top_p': 0.9,
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'num_predict': 2000,
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},
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},
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timeout=180,
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)
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response.raise_for_status()
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raw = response.json().get('response', '{}').strip()
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# Strip markdown code fences if present
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if raw.startswith('```'):
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parts = raw.split('```')
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raw = parts[1] if len(parts) > 1 else raw
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if raw.startswith('json'):
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raw = raw[4:]
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return json.loads(raw.strip())
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