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7c6ffa6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 | from __future__ import annotations
from typing import Any
from pydantic import BaseModel, Field
class CoursePlanRequest(BaseModel):
raw_request: str
source_ids: list[str] | None = None
source_context: str | None = None
playlist_metadata: dict[str, Any] | None = None
current_level: str | None = None
weak_topics: list[str] | None = None
class_level: str | None = None
syllabus: str | None = None
board: str | None = None
semester: str | None = None
degree: str | None = None
goal: str | None = None
time_available: str | None = None
daily_study_time: str | None = None
subject: str | None = None
chapter: str | None = None
topic: str | None = None
exam_date: str | None = None
class LessonOutput(BaseModel):
title: str
duration_minutes: int
task: str
reason_type: str
source_basis: str
expected_output: str = ""
prerequisite_check: str = ""
class ModuleOutput(BaseModel):
title: str
lessons: list[LessonOutput] = Field(default_factory=list)
estimated_minutes: int = 0
source_basis: str = "catalog_seed"
class QuizOutput(BaseModel):
title: str
question_count: int
focus_areas: list[str] = Field(default_factory=list)
class PracticeTaskOutput(BaseModel):
title: str
task_type: str
description: str = ""
source_basis: str = "generic"
class RevisionCheckpointOutput(BaseModel):
title: str
focus_areas: list[str] = Field(default_factory=list)
estimated_minutes: int = 15
class StudentContextOutput(BaseModel):
class_level: str = ""
syllabus: str = ""
subject: str = ""
chapter: str = ""
exam_date: str = ""
daily_study_time: str = ""
goal: str = ""
class ConceptExplanationOutput(BaseModel):
title: str
explanation: str
board_exam_focus: str = ""
class DerivationProblemStepOutput(BaseModel):
title: str
steps: list[str] = Field(default_factory=list)
common_mistake: str = ""
source_basis: str = "catalog_seed"
class PracticeQuestionOutput(BaseModel):
question: str
marks: int = 2
answer_hint: str = ""
question_type: str = "short_answer"
class WeakTopicRepairOutput(BaseModel):
topic: str
symptom: str = ""
repair_task: str = ""
class RevisionPlanItemOutput(BaseModel):
timing: str
task: str
purpose: str = ""
estimated_minutes: int = 10
class CoursePlanResult(BaseModel):
title: str
learner_level: str
subject_area: str
source_basis: str
modules: list[ModuleOutput] = Field(default_factory=list)
lessons_total: int = 0
estimated_total_minutes: int = 0
prerequisites: list[str] = Field(default_factory=list)
key_concepts: list[str] = Field(default_factory=list)
practice_tasks: list[PracticeTaskOutput] = Field(default_factory=list)
quizzes: list[QuizOutput] = Field(default_factory=list)
revision_checkpoints: list[RevisionCheckpointOutput] = Field(default_factory=list)
final_outcome: str = ""
next_action: str = ""
data_source_label: str = "Starter seed"
confidence: float = 0.0
trust_notes: list[str] = Field(default_factory=list)
student_context: StudentContextOutput = Field(default_factory=StudentContextOutput)
lesson_outline: list[str] = Field(default_factory=list)
prerequisite_check: list[str] = Field(default_factory=list)
concept_explanation: ConceptExplanationOutput | None = None
derivation_or_problem_steps: list[DerivationProblemStepOutput] = Field(default_factory=list)
practice_questions: list[PracticeQuestionOutput] = Field(default_factory=list)
pyq_style_questions: list[PracticeQuestionOutput] = Field(default_factory=list)
weak_topic_repairs: list[WeakTopicRepairOutput] = Field(default_factory=list)
revision_plan: list[RevisionPlanItemOutput] = Field(default_factory=list)
estimated_study_time: str = ""
class ExamCoachSessionRequest(BaseModel):
class_level: str | None = None
board: str | None = None
university: str | None = None
subject: str | None = None
chapter: str | None = None
topic: str | None = None
exam_date: str | None = None
daily_time: str = "1 hour"
goal: str | None = None
weak_topics: list[str] | None = None
pyq_data: list[dict[str, Any]] | None = None
source_ids: list[str] | None = None
source_context: str | None = None
class StudyBlockOutput(BaseModel):
duration_label: str
duration_minutes: int
title: str
tasks: list[str] = Field(default_factory=list)
reason: str = ""
class ExamCoachSessionResult(BaseModel):
session_title: str
exam_countdown: str
time_budget: str
today_mission: str
study_blocks: list[StudyBlockOutput] = Field(default_factory=list)
concept_teaching_task: dict[str, Any] = Field(default_factory=dict)
visual_lesson_task: dict[str, Any] = Field(default_factory=dict)
derivation_or_numerical_task: dict[str, Any] = Field(default_factory=dict)
pyq_task: dict[str, Any] = Field(default_factory=dict)
answer_writing_task: dict[str, Any] = Field(default_factory=dict)
revision_task: dict[str, Any] = Field(default_factory=dict)
quick_test: dict[str, Any] = Field(default_factory=dict)
next_day_plan: dict[str, Any] = Field(default_factory=dict)
data_source_label: str = "Starter seed"
trust_notes: list[str] = Field(default_factory=list)
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