diff --git a/openassessment/templates/openassessmentblock/edit/oa_edit_basic_settings_list.html b/openassessment/templates/openassessmentblock/edit/oa_edit_basic_settings_list.html index f653072587..fe34dd080b 100644 --- a/openassessment/templates/openassessmentblock/edit/oa_edit_basic_settings_list.html +++ b/openassessment/templates/openassessmentblock/edit/oa_edit_basic_settings_list.html @@ -162,4 +162,24 @@ {% trans "Specify whether learners can see the rubric while they are working on their response." %}

+
  • +
    + + +
    +

    {% trans "Available template variables are: question, student_answer, prompts" %}

    +
    • +
  • +
    +
    + + +
    +
    +
    • diff --git a/openassessment/xblock/ai_processors.py b/openassessment/xblock/ai_processors.py new file mode 100644 index 0000000000..c49a326123 --- /dev/null +++ b/openassessment/xblock/ai_processors.py @@ -0,0 +1,41 @@ +from django.conf import settings +import openai + +def get_openai_key(): + return settings.OPENAI_API_KEY if hasattr(settings, 'OPENAI_API_KEY') else None + +def davinci_model_processor(question: str, messages: list = []) -> str: + """ + The davinci AI processor + """ + openai.api_key = get_openai_key() + if openai.api_key: + return openai.Completion.create( + engine="text-davinci-003", + # engine="gpt-3.5-turbo", + prompt=question, + max_tokens=500, # TODO: move to settings and get from there. Use automatic tokens counter - https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken + stop=[" "], + temperature=1, + ).choices[0].text + return "OpenAI API key not set." + + +def gpt_model_processor(question: str, messages: list = []) -> str: + """ + The Chat-GPT AI processor + """ + openai.api_key = get_openai_key() + if openai.api_key: + if not messages: + messages = [{"role": "user", "content": question}] + + completion = openai.ChatCompletion.create( + model="gpt-3.5-turbo", + messages=messages, + max_tokens=1000, + stop=[" "], + temperature=0.7, + ) + return completion.choices[0].message["content"] + return "OpenAI API key not set." diff --git a/openassessment/xblock/automatic_assessment.py b/openassessment/xblock/automatic_assessment.py new file mode 100644 index 0000000000..e580724e14 --- /dev/null +++ b/openassessment/xblock/automatic_assessment.py @@ -0,0 +1,188 @@ +""" +TODO: Add module description. +""" +import re +import logging + + +from django.conf import settings + +from openassessment.assessment.api import staff as staff_api +from openassessment.assessment.errors import StaffAssessmentInternalError, StaffAssessmentRequestError +from openassessment.workflow import api as workflow_api +from openassessment.xblock import ai_processors + +from .data_conversion import clean_criterion_feedback + +logger = logging.getLogger(__name__) + +AI_MODELS_LIST = { + 'gpt_model_processor': "Chat GPT", + 'davinci_model_processor': "Text-Davinci" +} + + +# TODO: Move methods like below to utils. +def format_prompts(rubric): # TODO: Add docstring. + prompts_text = "" + + options = rubric['options'] + + for index, elem in enumerate(options): + prompts_text += f"{index}: {elem['explanation']}\n" + + return prompts_text + + +def get_student_response_from_ai(question, answer, prompts, ai_prompt, ai_model): + # Tag + # openai.api_key = getattr(settings, 'OPENAI_API_KEY', "") # TODO: Move to settings and get from there + + if ai_model in AI_MODELS_LIST.keys(): + if ai_processor := getattr(ai_processors, ai_model) if hasattr(ai_processors, ai_model) else None: + + + messages = [] + + + prompt = ai_prompt.format(question=question, student_answer=answer, prompts=prompts) + + if ai_model == 'gpt_model_processor': + messages = [ + {"role": "system", "content":f"Instructor enters the following prompt for the ChatGPT: {ai_prompt}"}, + {"role": "system", "content":f"The question to the student is: {question}."}, + {"role": "system", "content":f"The rubric for grading student's response: {prompts}."}, + {"role": "system", "content":f"Please select the most suited rubric number, and include phrase RUBRIC_OPTION_IS: rubric number, also please follow the prompt {ai_prompt}"}, + {"role": "user", "content":f"My answer is: {answer}."}, + ] + + logger.info(f"{AI_MODELS_LIST.get(ai_model)} prompt") + + logger.info(prompt) + return ai_processor(prompt, messages) + + +def process_ai_response(text): + # import pdb; pdb.set_trace() + regexp_expr = r"RUBRIC_OPTION_IS: (?:\d)\.?" # TODO: Move to settings or config model. + resp = re.findall(regexp_expr, text) + + # TODO: refactor for better catching errors and optimizations. + try: + response_option = int(''.join(filter(str.isdigit, resp[0]))) + response_explanation = text.split(resp[0])[-1].strip() + except Exception: + return None, None + + return response_option, response_explanation + + +# TODO: Move to config or Django config model. +# You are the teacher. +QUESTION_TEMPLATE = """ +You are a cisco instructor, critque the answer based on wendell odems cisco press ccna book. +Question prompt is: +{question}\n +Student's answer is: {student_answer}. +Provide response in the format "RIGHT ANSWER IS": . +Choose the most suitable choice from the following: +{prompts} +Write short (200 symbols) feedback about student answer points (What was correct and what was wrong). +Max response length should be up to 200 symbols. +""" + +QUESTION_TEMPLATE1 = """ +You are a cisco instructor, critique the answer based on wendell odems cisco press ccna book. +Question prompt is: +"{question}"\n +Responder's answer is: "{student_answer}". + +Write answer in the format "GRADE FOR STUDENT ANSWER IS": +Rubric: +{prompts}\n +In addition write short feedback (200 words) about student answer points, what was correct and what was wrong. +""" + +QUESTION_TEMPLATE2 = """ +You are a NASA instructor, please grade reflection based on the rubric. +Question prompt is: "{question}"\n +Responder's answer is: "{student_answer}". + +Write short feedback (200 words) about responders answer in first person, do not critique the answer, but respond empathetically. +""" + + +def generate_automatic_assessment(question, criterias, student_answer_data, student_id, rubric_dict, ai_completion, + ai_model): + # import pdb; pdb.set_trace() + result_dict_data = { + # 'options_selected': {'Ideas': 'Poor'}, + 'options_selected': {}, + # 'criterion_feedback': {'Ideas': 'Це просто ужас. Таких студенів треба гнати з платформи.'}, + 'criterion_feedback': {}, + 'overall_feedback': '', + 'submission_uuid': student_answer_data['uuid'], + 'assess_type': 'full-grade' + } + + # TODO: Process getting data for avoiding errors. + + student_answer_text = student_answer_data['answer']['parts'][0]['text'] + + + for criteria in criterias: + prompts = format_prompts(criteria) + response = get_student_response_from_ai(question, student_answer_text, prompts, ai_completion, ai_model) + + logger.info("Response from AI is: {}".format(response)) + if response: + + choice, explanation = process_ai_response(response) + + if not choice: + choice = 0 + explanation = response + + if choice or explanation: + # TODO: Refactor ?? + result_dict_data['options_selected'][criteria['name']] = criteria['options'][choice]['name'] + result_dict_data['criterion_feedback'][criteria['name']] = explanation + + data = result_dict_data + + if not result_dict_data['options_selected']: + # Return here for avoiding settings the empty staff response + return + + # Save as staff response. + + # TODO: Move code below to another method (logic separation is awesome feature) + try: + assessment = staff_api.create_assessment( + data['submission_uuid'], + student_id, + data['options_selected'], + clean_criterion_feedback(criterias, data['criterion_feedback']), + data['overall_feedback'], + rubric_dict, + ) + assess_type = data.get('assess_type', 'regrade') + workflow_api.update_from_assessments( + assessment["submission_uuid"], + None, + override_submitter_requirements=(assess_type == 'regrade') + ) + except StaffAssessmentRequestError: + logger.warning( + "An error occurred while submitting a staff assessment " + "for the submission %s", + data['submission_uuid'], + exc_info=True + ) + return False + except StaffAssessmentInternalError: + logger.exception( + "An error occurred while submitting a staff assessment " + "for the submission %s", + data['submission_uuid'] + ) diff --git a/openassessment/xblock/openassessmentblock.py b/openassessment/xblock/openassessmentblock.py index 4c35719731..824667397b 100644 --- a/openassessment/xblock/openassessmentblock.py +++ b/openassessment/xblock/openassessmentblock.py @@ -51,6 +51,7 @@ from openassessment.xblock.xml import parse_from_xml, serialize_content_to_xml from openassessment.xblock.editor_config import AVAILABLE_EDITORS from openassessment.xblock.load_static import LoadStatic +from openassessment.xblock.automatic_assessment import QUESTION_TEMPLATE1 logger = logging.getLogger(__name__) # pylint: disable=invalid-name @@ -306,6 +307,18 @@ class OpenAssessmentBlock(MessageMixin, help="Should the rubric be visible to learners in the response section?" ) + ai_completion = String( + scope=Scope.settings, + default=QUESTION_TEMPLATE1, + help="AI question template.", + ) + + ai_model = String( + scope=Scope.settings, + default="", + help="AI model.", + ) + @property def course_id(self): return str(self.xmodule_runtime.course_id) # pylint: disable=no-member @@ -901,6 +914,7 @@ def parse_xml(cls, node, runtime, keys, id_generator): block.teams_enabled = config['teams_enabled'] block.selected_teamset_id = config['selected_teamset_id'] block.show_rubric_during_response = config['show_rubric_during_response'] + block.ai_model = config['ai_model'] return block @property @@ -1031,6 +1045,7 @@ def render_assessment(self, path, context_dict=None): context_dict = {} context_dict['text_response_editor'] = self.text_response_editor + context_dict['ai_model'] = self.ai_model template = get_template(path) return Response(template.render(context_dict), content_type='application/html', charset='UTF-8') diff --git a/openassessment/xblock/schema.py b/openassessment/xblock/schema.py index 6aa0de5c58..c537d368bd 100644 --- a/openassessment/xblock/schema.py +++ b/openassessment/xblock/schema.py @@ -171,4 +171,6 @@ def datetime_validator(value): }) ], Required('show_rubric_during_response', default=False): bool, + Required('ai_completion'): utf8_validator, + Required('ai_model'): utf8_validator, }) diff --git a/openassessment/xblock/static/dist/manifest.json b/openassessment/xblock/static/dist/manifest.json index affad5c4eb..caf75c3590 100644 --- a/openassessment/xblock/static/dist/manifest.json +++ b/openassessment/xblock/static/dist/manifest.json @@ -4,8 +4,8 @@ "openassessment-editor-textarea.js.map": "/openassessment-editor-textarea.0babe8f5dfb2d462894a.js.map", "openassessment-editor-tinymce.js": "/openassessment-editor-tinymce.990d808ee1930fbf3200.js", "openassessment-editor-tinymce.js.map": "/openassessment-editor-tinymce.990d808ee1930fbf3200.js.map", - "openassessment-lms.js": "/openassessment-lms.f22003cefb5051270caa.js", - "openassessment-lms.js.map": "/openassessment-lms.f22003cefb5051270caa.js.map", + "openassessment-lms.js": "/openassessment-lms.86fbdc00dc4d8f98fe89.js", + "openassessment-lms.js.map": "/openassessment-lms.86fbdc00dc4d8f98fe89.js.map", "openassessment-ltr.css": "/openassessment-ltr.d387a062a81f7931a1c9.css", "openassessment-ltr.js": "/openassessment-ltr.d387a062a81f7931a1c9.js", "openassessment-ltr.css.map": "/openassessment-ltr.d387a062a81f7931a1c9.css.map", @@ -14,7 +14,7 @@ "openassessment-rtl.js": "/openassessment-rtl.fdcf1f14feb03ce4e582.js", "openassessment-rtl.css.map": "/openassessment-rtl.fdcf1f14feb03ce4e582.css.map", "openassessment-rtl.js.map": "/openassessment-rtl.fdcf1f14feb03ce4e582.js.map", - "openassessment-studio.js": "/openassessment-studio.fd7c3468f116d1200432.js", - "openassessment-studio.js.map": "/openassessment-studio.fd7c3468f116d1200432.js.map", + "openassessment-studio.js": "/openassessment-studio.9038bc371da4ada4afa1.js", + "openassessment-studio.js.map": "/openassessment-studio.9038bc371da4ada4afa1.js.map", "default-avatar.svg": "/95ec738c0b7faac5b5c9126794446bbd.svg" } \ No newline at end of file diff --git a/openassessment/xblock/static/dist/openassessment-editor-textarea.js b/openassessment/xblock/static/dist/openassessment-editor-textarea.js index e0573e6bf0..6a63a5528a 100644 --- a/openassessment/xblock/static/dist/openassessment-editor-textarea.js +++ b/openassessment/xblock/static/dist/openassessment-editor-textarea.js @@ -63,7 +63,7 @@ /******/ /******/ var hotApplyOnUpdate = true; /******/ // eslint-disable-next-line no-unused-vars -/******/ var hotCurrentHash = "7a38f0bcd21a11990cc9"; +/******/ var hotCurrentHash = "1d0a2638b44fd39c78aa"; /******/ var hotRequestTimeout = 10000; /******/ var hotCurrentModuleData = {}; /******/ var hotCurrentChildModule; diff --git a/openassessment/xblock/static/dist/openassessment-editor-tinymce.js b/openassessment/xblock/static/dist/openassessment-editor-tinymce.js index 645c45c824..6c94b22a11 100644 --- a/openassessment/xblock/static/dist/openassessment-editor-tinymce.js +++ b/openassessment/xblock/static/dist/openassessment-editor-tinymce.js @@ -63,7 +63,7 @@ /******/ /******/ var hotApplyOnUpdate = true; /******/ // eslint-disable-next-line no-unused-vars -/******/ var hotCurrentHash = "7a38f0bcd21a11990cc9"; +/******/ var hotCurrentHash = "1d0a2638b44fd39c78aa"; /******/ var hotRequestTimeout = 10000; /******/ var hotCurrentModuleData = {}; /******/ var hotCurrentChildModule; diff --git a/openassessment/xblock/static/dist/openassessment-lms.f22003cefb5051270caa.js b/openassessment/xblock/static/dist/openassessment-lms.86fbdc00dc4d8f98fe89.js similarity index 98% rename from openassessment/xblock/static/dist/openassessment-lms.f22003cefb5051270caa.js rename to openassessment/xblock/static/dist/openassessment-lms.86fbdc00dc4d8f98fe89.js index 95ac09f023..4feb3d53c3 100644 --- a/openassessment/xblock/static/dist/openassessment-lms.f22003cefb5051270caa.js +++ b/openassessment/xblock/static/dist/openassessment-lms.86fbdc00dc4d8f98fe89.js @@ -5,7 +5,7 @@ a.version="2.29.1",t=zt,a.fn=_n,a.min=function(){var e=[].slice.call(arguments,0 Copyright (c) 2018 Jed Watson. 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