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>
80 lines
2.5 KiB
Python
80 lines
2.5 KiB
Python
from odoo import fields, models
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class FlAnalysis(models.Model):
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"""
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Phase 5 — Full Ollama AI analysis implementation.
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Phase 1: Stub with fields required by fl_case computed fields.
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"""
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_name = 'fl.analysis'
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_description = 'AI Case Analysis Result'
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_order = 'create_date desc'
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case_id = fields.Many2one(
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'fl.case', ondelete='cascade', index=True
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)
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analysis_date = fields.Datetime(
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string='Analysis Date',
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default=fields.Datetime.now
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)
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model_used = fields.Char(
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string='AI Model',
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default='llama3.1'
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)
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# ── Results (referenced by fl_case related fields) ─────────────────────
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attorney_referral_flag = fields.Boolean(
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string='Attorney Referral Recommended',
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default=False
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)
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attorney_referral_reason = fields.Text(
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string='Attorney Referral Reason'
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)
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plain_english_summary = fields.Text(
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string='Plain English Summary (EN)',
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help='3-5 sentence summary of case analysis — no legal jargon'
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)
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plain_english_summary_es = fields.Text(
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string='Plain English Summary (ES)',
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help='Resumen en español — sin jerga legal'
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)
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# ── Analysis Detail (Phase 5) ──────────────────────────────────────────
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petitioner_arguments = fields.Text(
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string='Petitioner Arguments (JSON)'
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)
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respondent_counterarguments = fields.Text(
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string='Respondent Counter-Arguments (JSON)'
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)
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procedural_risks = fields.Text(
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string='Procedural Risks (JSON)'
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)
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matched_caselaw_ids = fields.Many2many(
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'fl.caselaw',
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'fl_analysis_caselaw_rel',
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'analysis_id', 'caselaw_id',
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string='Matched Case Law'
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)
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confidence_level = fields.Selection([
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('high', 'High'),
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('medium', 'Medium'),
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('low', 'Low'),
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], string='Confidence Level')
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case_complexity = fields.Selection([
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('simple', 'Simple'),
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('moderate', 'Moderate'),
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('complex', 'Complex'),
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], string='Case Complexity')
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raw_response = fields.Text(
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string='Raw AI Response',
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help='Full JSON response from Ollama — for debugging'
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)
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error_message = fields.Text(
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string='Error (if analysis failed)'
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)
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state = fields.Selection([
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('pending', 'Pending'),
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('complete', 'Complete'),
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('failed', 'Failed'),
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], string='Status', default='pending')
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