6a62a43d61
Generation Page (complete rebuild): - Full production-parity exam generation wizard with 4 IELTS modules - Reading: AI passage gen, 5 exercise types (MCQ, Fill, Write, T/F, Match) - Listening: 4 section types, AI context gen, TTS audio gen (ElevenLabs) - Writing: Task 1/2, AI instruction gen, word limits, marks - Speaking: 3 parts, AI script gen, avatar video gen (7 avatars) - Per-module config: timer, CEFR difficulty, access, approval, rubrics - Exam submission workflow (draft/published) Exam Structures: - New encoach.exam.structure model + CRUD controller - ExamStructuresPage wired to real API AI Module (encoach_ai): - OpenAI service, ElevenLabs TTS, AWS Polly, ELAI avatars - AI settings model with Odoo config parameters - 7 generation endpoints (passage, exercises, instructions, scripts, context) Vector Module (encoach_vector): - pgvector integration for RAG-based content search - Embedding service with sentence-transformers Exam Session Fixes: - Fixed ExamSession.tsx field mapping (question_type→type, exam_title→title) - Fixed submit payload to include attempt_id and answers - Fixed normalizeType to handle null/undefined Tested: 12/12 API tests passed, browser-verified with real OpenAI calls Made-with: Cursor
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
from odoo import fields, models
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class EncoachAILog(models.Model):
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_name = "encoach.ai.log"
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_description = "AI Service Call Log"
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_order = "create_date desc"
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service = fields.Selection(
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[
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("openai", "OpenAI"),
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("whisper", "Whisper"),
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("polly", "AWS Polly"),
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("elevenlabs", "ElevenLabs"),
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("gptzero", "GPTZero"),
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("elai", "ELAI"),
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("coach", "AI Coach"),
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],
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required=True,
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index=True,
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)
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action = fields.Char(index=True)
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model_used = fields.Char()
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prompt_tokens = fields.Integer(default=0)
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completion_tokens = fields.Integer(default=0)
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total_tokens = fields.Integer(default=0)
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latency_ms = fields.Integer()
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status = fields.Selection(
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[("success", "Success"), ("error", "Error"), ("timeout", "Timeout")],
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default="success",
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)
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error_message = fields.Text()
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user_id = fields.Many2one("res.users", default=lambda self: self.env.uid)
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input_preview = fields.Text()
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output_preview = fields.Text()
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