diff --git a/agenta-backend/agenta_backend/models/api/evaluation_model.py b/agenta-backend/agenta_backend/models/api/evaluation_model.py index 3fd55ff9b1..ed215315b7 100644 --- a/agenta-backend/agenta_backend/models/api/evaluation_model.py +++ b/agenta-backend/agenta_backend/models/api/evaluation_model.py @@ -1,7 +1,7 @@ -from pydantic import BaseModel, Field -from typing import Optional, List, Dict -from datetime import datetime from enum import Enum +from datetime import datetime +from pydantic import BaseModel, Field +from typing import Optional, List, Dict, Any class EvaluationTypeSettings(BaseModel): @@ -19,6 +19,7 @@ class EvaluationType(str, Enum): auto_ai_critique = "auto_ai_critique" human_a_b_testing = "human_a_b_testing" human_scoring = "human_scoring" + custom_code_run = "custom_code_run" class EvaluationStatusEnum(str, Enum): @@ -33,6 +34,9 @@ class Evaluation(BaseModel): status: str evaluation_type: EvaluationType evaluation_type_settings: Optional[EvaluationTypeSettings] + custom_code_evaluation_id: Optional[ + str + ] # will be added when running custom code evaluation llm_app_prompt_template: Optional[str] variants: Optional[List[str]] app_name: str @@ -70,13 +74,21 @@ class EvaluationScenario(BaseModel): class EvaluationScenarioUpdate(BaseModel): vote: Optional[str] score: Optional[str] + correct_answer: Optional[str] # will be used when running custom code evaluation outputs: List[EvaluationScenarioOutput] evaluation_prompt_template: Optional[str] open_ai_key: Optional[str] +class EvaluationScenarioScoreUpdate(BaseModel): + score: float + + class NewEvaluation(BaseModel): evaluation_type: EvaluationType + custom_code_evaluation_id: Optional[ + str + ] # will be added when running custom code evaluation evaluation_type_settings: Optional[EvaluationTypeSettings] app_name: str variants: List[str] @@ -90,5 +102,40 @@ class DeleteEvaluation(BaseModel): evaluations_ids: List[str] +class CreateCustomEvaluation(BaseModel): + evaluation_name: str + python_code: str + app_name: str + + +class CustomEvaluationOutput(BaseModel): + id: str + app_name: str + evaluation_name: str + created_at: datetime + + +class CustomEvaluationDetail(BaseModel): + id: str + app_name: str + evaluation_name: str + python_code: str + created_at: datetime + updated_at: datetime + + +class CustomEvaluationNames(BaseModel): + id: str + evaluation_name: str + + +class ExecuteCustomEvaluationCode(BaseModel): + inputs: List[Dict[str, Any]] + app_name: str + variant_name: str + correct_answer: str + outputs: List[Dict[str, Any]] + + class EvaluationWebhook(BaseModel): score: float diff --git a/agenta-backend/agenta_backend/models/db_models.py b/agenta-backend/agenta_backend/models/db_models.py index 343c66ab05..f2caccccc1 100644 --- a/agenta-backend/agenta_backend/models/db_models.py +++ b/agenta-backend/agenta_backend/models/db_models.py @@ -86,6 +86,7 @@ class EvaluationScenarioOutput(EmbeddedModel): class EvaluationDB(Model): status: str evaluation_type: str + custom_code_evaluation_id: Optional[str] evaluation_type_settings: EvaluationTypeSettings llm_app_prompt_template: str variants: List[str] @@ -115,6 +116,18 @@ class Config: collection = "evaluation_scenarios" +class CustomEvaluationDB(Model): + evaluation_name: str + python_code: str + app_name: str + user: UserDB = Reference() + created_at: Optional[datetime] = Field(default=datetime.utcnow()) + updated_at: Optional[datetime] = Field(default=datetime.utcnow()) + + class Config: + collection = "custom_evaluations" + + class TestSetDB(Model): name: str app_name: str diff --git a/agenta-backend/agenta_backend/routers/evaluation_router.py b/agenta-backend/agenta_backend/routers/evaluation_router.py index 0c6b9e2db5..5571edc2c5 100644 --- a/agenta-backend/agenta_backend/routers/evaluation_router.py +++ b/agenta-backend/agenta_backend/routers/evaluation_router.py @@ -1,22 +1,31 @@ import os +import random from bson import ObjectId from datetime import datetime from typing import List, Optional -import random +from fastapi.responses import JSONResponse from fastapi import HTTPException, APIRouter, Body, Depends +from agenta_backend.services.helpers import format_inputs, format_outputs from agenta_backend.models.api.evaluation_model import ( + CustomEvaluationNames, Evaluation, EvaluationScenario, + CustomEvaluationOutput, + CustomEvaluationDetail, + EvaluationScenarioScoreUpdate, EvaluationScenarioUpdate, + ExecuteCustomEvaluationCode, NewEvaluation, DeleteEvaluation, EvaluationType, + CreateCustomEvaluation, EvaluationUpdate, EvaluationWebhook, ) from agenta_backend.services.results_service import ( + fetch_average_score_for_custom_code_run, fetch_results_for_human_a_b_testing_evaluation, fetch_results_for_auto_exact_match_evaluation, fetch_results_for_auto_similarity_match_evaluation, @@ -26,10 +35,17 @@ ) from agenta_backend.services.evaluation_service import ( UpdateEvaluationScenarioError, + fetch_custom_evaluation_names, + fetch_custom_evaluations, + fetch_custom_evaluation_detail, + get_evaluation_scenario_score, update_evaluation_scenario, + update_evaluation_scenario_score, update_evaluation, create_new_evaluation, create_new_evaluation_scenario, + create_custom_code_evaluation, + execute_custom_code_evaluation, ) from agenta_backend.services.db_manager import engine, query, get_user_object from agenta_backend.models.db_models import EvaluationDB, EvaluationScenarioDB @@ -213,6 +229,60 @@ async def update_evaluation_scenario_router( raise HTTPException(status_code=500, detail=str(e)) from e +@router.get("/evaluation_scenario/{evaluation_scenario_id}/score") +async def get_evaluation_scenario_score_router( + evaluation_scenario_id: str, + stoken_session: SessionContainer = Depends(verify_session()), +): + """Get the s + + Args: + evaluation_scenario_id (str): _description_ + stoken_session (SessionContainer, optional): _description_. Defaults to Depends(verify_session()). + + Raises: + HTTPException: _description_ + HTTPException: _description_ + HTTPException: _description_ + + Returns: + _type_: _description_ + """ + + # Get user and organization id + kwargs: dict = await get_user_and_org_id(stoken_session) + scenario_score = await get_evaluation_scenario_score( + evaluation_scenario_id, **kwargs + ) + return scenario_score + + +@router.put("/evaluation_scenario/{evaluation_scenario_id}/score") +async def update_evaluation_scenario_score_router( + evaluation_scenario_id: str, + payload: EvaluationScenarioScoreUpdate, + stoken_session: SessionContainer = Depends(verify_session()), +): + """Updates evaluation scenario score + + Args: + evaluation_scenario_id (str): the evaluation scenario to update + score (float): the value to update + + Raises: + HTTPException: server error if evaluation update went wrong + """ + + try: + # Get user and organization id + kwargs: dict = await get_user_and_org_id(stoken_session) + return await update_evaluation_scenario_score( + evaluation_scenario_id, payload.score, **kwargs + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) from e + + @router.get("/", response_model=List[Evaluation]) async def fetch_list_evaluations( app_name: Optional[str] = None, @@ -238,6 +308,7 @@ async def fetch_list_evaluations( id=str(evaluation.id), status=evaluation.status, evaluation_type=evaluation.evaluation_type, + custom_code_evaluation_id=evaluation.custom_code_evaluation_id, evaluation_type_settings=evaluation.evaluation_type_settings, llm_app_prompt_template=evaluation.llm_app_prompt_template, variants=evaluation.variants, @@ -275,6 +346,7 @@ async def fetch_evaluation( id=str(evaluation.id), status=evaluation.status, evaluation_type=evaluation.evaluation_type, + custom_code_evaluation_id=evaluation.custom_code_evaluation_id, evaluation_type_settings=evaluation.evaluation_type_settings, llm_app_prompt_template=evaluation.llm_app_prompt_template, variants=evaluation.variants, @@ -386,6 +458,147 @@ async def fetch_results( results = await fetch_results_for_auto_ai_critique(evaluation_id) return {"results_data": results} + elif evaluation.evaluation_type == EvaluationType.custom_code_run: + results = await fetch_average_score_for_custom_code_run(evaluation_id) + return {"avg_score": results} + + +@router.post("/custom_evaluation/") +async def create_custom_evaluation( + custom_evaluation_payload: CreateCustomEvaluation, + stoken_session: SessionContainer = Depends(verify_session()), +): + """Create evaluation with custom python code. + + Args: + \n custom_evaluation_payload (CreateCustomEvaluation): the required payload + """ + + # Get user and organization id + kwargs: dict = await get_user_and_org_id(stoken_session) + + # create custom evaluation in database + evaluation_id = await create_custom_code_evaluation( + custom_evaluation_payload, **kwargs + ) + + return JSONResponse( + { + "status": "success", + "message": "Evaluation created successfully.", + "evaluation_id": evaluation_id, + }, + status_code=200, + ) + + +@router.get( + "/custom_evaluation/list/{app_name}", + response_model=List[CustomEvaluationOutput], +) +async def list_custom_evaluations( + app_name: str, + stoken_session: SessionContainer = Depends(verify_session()), +): + """List the custom code evaluations for a given app. + + Args: + app_name (str): the name of the app + + Returns: + List[CustomEvaluationOutput]: a list of custom evaluation + """ + + # Get user and organization id + kwargs: dict = await get_user_and_org_id(stoken_session) + + # Fetch custom evaluations from database + evaluations = await fetch_custom_evaluations(app_name, **kwargs) + return evaluations + + +@router.get( + "/custom_evaluation/{id}", + response_model=CustomEvaluationDetail, +) +async def get_custom_evaluation( + id: str, + stoken_session: SessionContainer = Depends(verify_session()), +): + """Get the custom code evaluation detail. + + Args: + id (str): the id of the custom evaluation + + Returns: + CustomEvaluationDetail: Detail of the custom evaluation + """ + + # Get user and organization id + kwargs: dict = await get_user_and_org_id(stoken_session) + + # Fetch custom evaluations from database + evaluation = await fetch_custom_evaluation_detail(id, **kwargs) + return evaluation + + +@router.get( + "/custom_evaluation/{app_name}/names/", + response_model=List[CustomEvaluationNames], +) +async def get_custom_evaluation_names( + app_name: str, stoken_session: SessionContainer = Depends(verify_session()) +): + """Get the names of custom evaluation for a given app. + + Args: + app_name (str): the name of the app the evaluation belongs to + + Returns: + List[CustomEvaluationNames]: the list of name of custom evaluations + """ + # Get user and organization id + kwargs: dict = await get_user_and_org_id(stoken_session) + + custom_eval_names = await fetch_custom_evaluation_names(app_name, **kwargs) + return custom_eval_names + + +@router.post( + "/custom_evaluation/execute/{evaluation_id}/", +) +async def execute_custom_evaluation( + evaluation_id: str, + payload: ExecuteCustomEvaluationCode, + stoken_session: SessionContainer = Depends(verify_session()), +): + """Execute a custom evaluation code. + + Args: + evaluation_id (str): the custom evaluation id + payload (ExecuteCustomEvaluationCode): the required payload + + Returns: + float: the result of the evaluation custom code + """ + + # Get user and organization id + kwargs: dict = await get_user_and_org_id(stoken_session) + + # Execute custom code evaluation + formatted_inputs = format_inputs(payload.inputs) + formatted_outputs = format_outputs(payload.outputs) + result = await execute_custom_code_evaluation( + evaluation_id, + payload.app_name, + formatted_outputs[payload.variant_name], # gets the output of the app variant + payload.correct_answer, + payload.variant_name, + formatted_inputs, + **kwargs, + ) + return result + @router.post("/webhook_example_fake", response_model=EvaluationWebhook) async def webhook_example_fake(): diff --git a/agenta-backend/agenta_backend/services/evaluation_service.py b/agenta-backend/agenta_backend/services/evaluation_service.py index 909ddbfeed..4f25d4e942 100644 --- a/agenta-backend/agenta_backend/services/evaluation_service.py +++ b/agenta-backend/agenta_backend/services/evaluation_service.py @@ -1,25 +1,32 @@ -from typing import Dict from bson import ObjectId from datetime import datetime +from typing import Dict, List, Any from fastapi import HTTPException from agenta_backend.models.api.evaluation_model import ( + CustomEvaluationNames, Evaluation, EvaluationScenario, + CustomEvaluationOutput, + CustomEvaluationDetail, EvaluationType, NewEvaluation, EvaluationScenarioUpdate, + CreateCustomEvaluation, EvaluationUpdate, ) +from agenta_backend.services.security.sandbox import execute_code_safely from agenta_backend.services.db_manager import engine, query, get_user_object from agenta_backend.models.db_models import ( + AppVariantDB, EvaluationDB, EvaluationScenarioDB, TestSetDB, EvaluationTypeSettings, EvaluationScenarioInput, EvaluationScenarioOutput, + CustomEvaluationDB, ) from langchain.chains import LLMChain @@ -60,6 +67,7 @@ async def create_new_evaluation(payload: NewEvaluation, **kwargs: dict) -> Dict: eval_instance = EvaluationDB( status=payload.status, evaluation_type=payload.evaluation_type, + custom_code_evaluation_id=payload.custom_code_evaluation_id, evaluation_type_settings=evaluation_type_settings, llm_app_prompt_template=payload.llm_app_prompt_template, variants=payload.variants, @@ -248,6 +256,10 @@ async def update_evaluation_scenario( new_evaluation_set["score"] = evaluation_scenario_dict["score"] elif evaluation_type == EvaluationType.human_a_b_testing: new_evaluation_set["vote"] = evaluation_scenario_dict["vote"] + elif evaluation_type == EvaluationType.custom_code_run: + new_evaluation_set["correct_answer"] = evaluation_scenario_dict[ + "correct_answer" + ] elif evaluation_type == EvaluationType.auto_ai_critique: current_evaluation_scenario = await engine.find_one( EvaluationScenarioDB, query_expression_eval_scen @@ -321,6 +333,60 @@ async def update_evaluation_scenario( raise UpdateEvaluationScenarioError("Failed to create evaluation_scenario") +async def update_evaluation_scenario_score( + evaluation_scenario_id: str, score: float, **kwargs: dict +) -> None: + """Update the score of the provided evaluation scenario. + + Args: + evaluation_scenario_id (str): the evaluation scenario to update + score (float): the value to update + """ + + # Get user object + user = await get_user_object(kwargs["uid"]) + + # Build query expression + query_expression = query.eq( + EvaluationScenarioDB.id, ObjectId(evaluation_scenario_id) + ) & query.eq(EvaluationScenarioDB.user, user.id) + + # Find evaluation scenario if it meets with the query expression + evaluation_scenario = await engine.find_one(EvaluationScenarioDB, query_expression) + evaluation_scenario.score = score + + # Save the evaluation scenario + await engine.save(evaluation_scenario) + + +async def get_evaluation_scenario_score( + evaluation_scenario_id: str, **kwargs: dict +) -> Dict[str, str]: + """Get the evaluation scenario score + + Args: + scenario_id (str): the evaluation scenario score + + Returns: + Dict[str, str]: scenario id and score + """ + + # Get user object + user = await get_user_object(kwargs["uid"]) + + # Build query expression + query_expression = query.eq( + EvaluationScenarioDB.id, ObjectId(evaluation_scenario_id) + ) & query.eq(EvaluationScenarioDB.user, user.id) + + # Find evaluation scenario if it meets with the query expression + evaluation_scenario = await engine.find_one(EvaluationScenarioDB, query_expression) + return { + "scenario_id": str(evaluation_scenario.id), + "score": evaluation_scenario.score, + } + + def evaluate_with_ai_critique( llm_app_prompt_template: str, llm_app_inputs: dict, @@ -415,3 +481,201 @@ def extend_with_correct_answer(evaluation_type: EvaluationType, row: dict): if row["correct_answer"]: correct_answer["correct_answer"] = row["correct_answer"] return correct_answer + + +async def create_custom_code_evaluation( + payload: CreateCustomEvaluation, **kwargs: dict +) -> str: + """Save the custom evaluation code in the database. + + Args: + payload (CreateCustomEvaluation): the required payload + + Returns: + str: the custom evaluation id + """ + + # Get user object + user = await get_user_object(kwargs["uid"]) + + # Initialize custom evaluation instance + custom_eval = CustomEvaluationDB(**payload.dict(), user=user) + + await engine.save(custom_eval) + return str(custom_eval.id) + + +async def execute_custom_code_evaluation( + evaluation_id: str, + app_name: str, + output: str, + correct_answer: str, + variant_name: str, + inputs: Dict[str, Any], + **kwargs: dict, +): + """Execute the custom evaluation code. + + Args: + evaluation_id (str): the custom evaluation id + app_name (str): the name of the app + output (str): required by the custom code + correct_answer (str): required by the custom code + variant_name (str): required by the custom code + inputs (Dict[str, Any]): required by the custom code + + Raises: + HTTPException: Evaluation not found + HTTPException: App variant not found + HTTPException: Failed to execute custom code evaluation + + Returns: + result: The result of the executed custom code + """ + + # Get user object + user = await get_user_object(kwargs["uid"]) + + # Build query expression + query_expression = query.eq( + CustomEvaluationDB.id, ObjectId(evaluation_id) + ) & query.eq(CustomEvaluationDB.user, user.id) + + # Get custom evaluation + custom_eval = await engine.find_one(CustomEvaluationDB, query_expression) + if not custom_eval: + raise HTTPException(status_code=404, detail="Evaluation not found") + + # Build query expression for app variant + appvar_query_expression = query.eq(AppVariantDB.app_name, app_name) & query.eq( + AppVariantDB.variant_name, variant_name + ) + + # Get app variant object + app_variant = await engine.find_one(AppVariantDB, appvar_query_expression) + if not app_variant: + raise HTTPException(status_code=404, detail="App variant not found") + + # Execute the Python code with the provided inputs + try: + result = execute_code_safely( + app_variant.parameters, + inputs, + output, + correct_answer, + custom_eval.python_code, + ) + except Exception as e: + raise HTTPException( + status_code=500, + detail=f"Failed to execute custom code evaluation: {str(e)}", + ) + return result + + +async def fetch_custom_evaluations( + app_name: str, **kwargs: dict +) -> List[CustomEvaluationOutput]: + """Fetch a list of custom evaluations from the database. + + Args: + app_name (str): the name of the app + + Returns: + List[CustomEvaluationOutput]: ls=ist of custom evaluations + """ + + # Get user object + user = await get_user_object(kwargs["uid"]) + + # Build query expression + query_expression = query.eq(CustomEvaluationDB.user, user.id) & query.eq( + CustomEvaluationDB.app_name, app_name + ) + + # Get custom evaluations + custom_evals = await engine.find(CustomEvaluationDB, query_expression) + if not custom_evals: + return [] + + # Convert custom evaluations to evaluations + evaluations = [] + for custom_eval in custom_evals: + evaluations.append( + CustomEvaluationOutput( + id=str(custom_eval.id), + app_name=custom_eval.app_name, + evaluation_name=custom_eval.evaluation_name, + created_at=custom_eval.created_at, + ) + ) + return evaluations + + +async def fetch_custom_evaluation_detail( + id: str, **kwargs: dict +) -> CustomEvaluationDetail: + """Fetch the detail of custom evaluation from the database. + + Args: + id (str): the id of the custom evaluation + + Returns: + CustomEvaluationDetail: Detail of the custom evaluation + """ + + # Get user object + user = await get_user_object(kwargs["uid"]) + + # Build query expression + query_expression = query.eq(CustomEvaluationDB.user, user.id) & query.eq( + CustomEvaluationDB.id, ObjectId(id) + ) + + # Get custom evaluation + custom_eval = await engine.find_one(CustomEvaluationDB, query_expression) + if not custom_eval: + raise HTTPException(status_code=404, detail="Custom evaluation not found") + + return CustomEvaluationDetail( + id=str(custom_eval.id), + app_name=custom_eval.app_name, + python_code=custom_eval.python_code, + evaluation_name=custom_eval.evaluation_name, + created_at=custom_eval.created_at, + updated_at=custom_eval.updated_at, + ) + + +async def fetch_custom_evaluation_names( + app_name: str, **kwargs: dict +) -> List[CustomEvaluationNames]: + """Fetch the names of custom evaluation from the database. + + Args: + id (str): the name of the app the evaluation belongs to + + Returns: + List[CustomEvaluationNames]: the list of name of custom evaluations + """ + + # Get user object + user = await get_user_object(kwargs["uid"]) + + # Build query expression + query_expression = query.eq(CustomEvaluationDB.user, user.id) & query.eq( + CustomEvaluationDB.app_name, app_name + ) + + # Get custom evaluation + custom_evals = await engine.find(CustomEvaluationDB, query_expression) + + list_of_custom_eval_names = [] + for custom_eval in custom_evals: + list_of_custom_eval_names.append( + CustomEvaluationNames( + id=str(custom_eval.id), + evaluation_name=custom_eval.evaluation_name, + ) + ) + return list_of_custom_eval_names diff --git a/agenta-backend/agenta_backend/services/helpers.py b/agenta-backend/agenta_backend/services/helpers.py index 1c576fc1f9..d3d530cce3 100644 --- a/agenta-backend/agenta_backend/services/helpers.py +++ b/agenta-backend/agenta_backend/services/helpers.py @@ -1,3 +1,7 @@ +import json +from typing import List, Dict, Any + + def print_app_variant(app_variant): print(f"App Variant ID: {app_variant.id}") print(f"App Variant Name: {app_variant.variant_name}") @@ -14,3 +18,59 @@ def print_image(image): print(f"Docker ID: {image.docker_id}") print(f"Tags: {image.tags}") print("------------------------") + + +def format_inputs(list_of_dictionaries: List[Dict[str, Any]]) -> Dict: + """ + Formats a list of inputs dictionaries into a dictionary. + + Args: + list_of_dictionaries: A list of inputs as dictionaries. + + Returns: + A dictionary. + """ + + formatted_dictionary = {} + for dictionary in list_of_dictionaries: + formatted_dictionary[dictionary["input_name"]] = dictionary["input_value"] + return formatted_dictionary + + +def format_outputs(list_of_dictionaries: List[Dict[str, Any]]) -> Dict: + """ + Formats a list of outputs dictionaries into a dictionary. + + Args: + list_of_dictionaries: A list of outputs as dictionaries. + + Returns: + A dictionary. + """ + + formatted_dictionary = {} + for dictionary in list_of_dictionaries: + formatted_dictionary[dictionary["variant_name"]] = dictionary["variant_output"] + return formatted_dictionary + + +def include_dynamic_values(json_data: Dict, inputs: Dict[str, Any]) -> Dict: + """ + Includes the dynamic values in the JSON before it gets executed. + + Args: + json_data: The JSON data. + inputs: The dynamic values. + + Returns: + The modified JSON data. + """ + + # Get the inputs dictionary. + inputs_dictionary = json.loads(inputs) + + # Replace the `{inputs}` placeholder in the JSON data with the inputs dictionary. + for key, value in inputs_dictionary.items(): + json_data = json_data.replace(f"{key}", value) + + return json_data diff --git a/agenta-backend/agenta_backend/services/results_service.py b/agenta-backend/agenta_backend/services/results_service.py index 99789b8370..44b788e6e5 100644 --- a/agenta-backend/agenta_backend/services/results_service.py +++ b/agenta-backend/agenta_backend/services/results_service.py @@ -184,3 +184,18 @@ async def fetch_results_for_auto_ai_critique(evaluation_id: str): for doc in aggregation_cursor: results[doc["_id"]] = doc["count"] return results + + +async def fetch_average_score_for_custom_code_run(evaluation_id: str) -> float: + query_exp = query.eq(EvaluationScenarioDB.evaluation_id, evaluation_id) + eval_scenarios = await engine.find(EvaluationScenarioDB, query_exp) + + list_of_scores = [] + for scenario in eval_scenarios: + score = scenario.score + if not scenario.score: + score = 0 + list_of_scores.append(round(float(score), 2)) + + average_score = sum(list_of_scores) / len(list_of_scores) + return average_score diff --git a/agenta-backend/agenta_backend/services/security/__init__.py b/agenta-backend/agenta_backend/services/security/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/agenta-backend/agenta_backend/services/security/sandbox.py b/agenta-backend/agenta_backend/services/security/sandbox.py new file mode 100644 index 0000000000..63974b8c01 --- /dev/null +++ b/agenta-backend/agenta_backend/services/security/sandbox.py @@ -0,0 +1,97 @@ +from typing import Union, Text, Dict, Any + +from RestrictedPython import safe_builtins, compile_restricted +from RestrictedPython.Eval import ( + default_guarded_getiter, + default_guarded_getitem, +) +from RestrictedPython.Guards import ( + guarded_iter_unpack_sequence, + full_write_guard, +) + + +def is_import_safe(python_code: Text) -> bool: + """Checks if the imports in the python code contains a system-level import. + + Args: + python_code (str): The Python code to be executed + + Returns: + bool - module is secured or not + """ + + disallowed_imports = ["os", "subprocess", "threading", "multiprocessing"] + for import_ in disallowed_imports: + if import_ in python_code: + return False + return True + + +def execute_code_safely( + app_params: Dict[str, str], + inputs: Dict[str, str], + output: str, + correct_answer: str, + code: Text, +) -> Union[float, None]: + """ + Execute the provided Python code safely using RestrictedPython. + + Args: + - app_params (Dict[str, str]): The parameters of the app variant. + - inputs (dict): Inputs to be used during code execution. + - output (str): The output of the app variant after being called. + - correct_answer (str): The correct answer (or target) of the app variant. + - code (Text): The Python code to be executed. + + Returns: + - (float): Result of the execution if successful. Should be between 0 and 1. + - None if execution fails or result is not a float between 0 and 1. + """ + # Define the available built-ins + local_builtins = safe_builtins.copy() + + # Add the __import__ built-in function to the local builtins + local_builtins["__import__"] = __import__ + + # Define supported packages + allowed_imports = [ + "math", + "random", + "datetime", + "json", + "jsonschema", + "requests", + "numpy", + ] + + # Create a dictionary to simulate allowed imports + allowed_modules = {} + for package_name in allowed_imports: + allowed_modules[package_name] = __import__(package_name) + + # Add the allowed modules to the local built-ins + local_builtins.update(allowed_modules) + + # Define the environment for the code execution + environment = { + "_getiter_": default_guarded_getiter, + "_getitem_": default_guarded_getitem, + "_iter_unpack_sequence_": guarded_iter_unpack_sequence, + "_write_": full_write_guard, + "__builtins__": local_builtins, + } + + # Compile the code in a restricted environment + byte_code = compile_restricted(code, filename="", mode="exec") + + # Execute the code + exec(byte_code, environment) + + # Call the evaluation function, extract the result if it exists + # and is a float between 0 and 1 + result = environment["evaluate"](app_params, inputs, correct_answer, output) + if isinstance(result, float) and 0 <= result <= 1: + return result + return None diff --git a/agenta-backend/poetry.lock b/agenta-backend/poetry.lock index 5b8f69d042..eed7ee8bf5 100644 --- a/agenta-backend/poetry.lock +++ b/agenta-backend/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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"node_modules/which-builtin-type": { "version": "1.1.3", - "license": "MIT", + "resolved": "https://registry.npmjs.org/which-builtin-type/-/which-builtin-type-1.1.3.tgz", + "integrity": "sha512-YmjsSMDBYsM1CaFiayOVT06+KJeXf0o5M/CAd4o1lTadFAtacTUM49zoYxr/oroopFDfhvN6iEcBxUyc3gvKmw==", "dependencies": { "function.prototype.name": "^1.1.5", "has-tostringtag": "^1.0.0", @@ -8570,7 +9448,8 @@ }, "node_modules/which-collection": { "version": "1.0.1", - "license": "MIT", + "resolved": "https://registry.npmjs.org/which-collection/-/which-collection-1.0.1.tgz", + "integrity": "sha512-W8xeTUwaln8i3K/cY1nGXzdnVZlidBcagyNFtBdD5kxnb4TvGKR7FfSIS3mYpwWS1QUCutfKz8IY8RjftB0+1A==", "dependencies": { "is-map": "^2.0.1", "is-set": "^2.0.1", @@ -8583,7 +9462,8 @@ }, "node_modules/which-typed-array": { "version": "1.1.11", - "license": "MIT", + "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.11.tgz", + "integrity": "sha512-qe9UWWpkeG5yzZ0tNYxDmd7vo58HDBc39mZ0xWWpolAGADdFOzkfamWLDxkOWcvHQKVmdTyQdLD4NOfjLWTKew==", "dependencies": { "available-typed-arrays": "^1.0.5", "call-bind": "^1.0.2", @@ -8600,8 +9480,9 @@ }, "node_modules/wrap-ansi": { "version": "7.0.0", + "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz", + "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==", "dev": true, - "license": "MIT", "dependencies": { "ansi-styles": "^4.0.0", "string-width": "^4.1.0", @@ -8616,23 +9497,35 @@ }, "node_modules/wrappy": { "version": "1.0.2", - "license": "ISC" + "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz", + "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==" }, "node_modules/xmlbuilder": { "version": "13.0.2", - "license": "MIT", + "resolved": "https://registry.npmjs.org/xmlbuilder/-/xmlbuilder-13.0.2.tgz", + "integrity": "sha512-Eux0i2QdDYKbdbA6AM6xE4m6ZTZr4G4xF9kahI2ukSEMCzwce2eX9WlTI5J3s+NU7hpasFsr8hWIONae7LluAQ==", "engines": { "node": ">=6.0" } }, + "node_modules/xtend": { + "version": "4.0.2", + "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz", + "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==", + "engines": { + "node": ">=0.4" + } + }, "node_modules/yallist": { "version": "4.0.0", - "license": "ISC" + "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", + "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==" }, "node_modules/yauzl": { "version": "2.10.0", + "resolved": "https://registry.npmjs.org/yauzl/-/yauzl-2.10.0.tgz", + "integrity": "sha512-p4a9I6X6nu6IhoGmBqAcbJy1mlC4j27vEPZX9F4L4/vZT3Lyq1VkFHw/V/PUcB9Buo+DG3iHkT0x3Qya58zc3g==", "dev": true, - "license": "MIT", "dependencies": { "buffer-crc32": "~0.2.3", "fd-slicer": "~1.1.0" @@ -8640,7 +9533,8 @@ }, "node_modules/yocto-queue": { "version": "0.1.0", - "license": "MIT", + "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", + "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", "engines": { "node": ">=10" }, @@ -8650,7 +9544,8 @@ }, "node_modules/youtube-player": { "version": "5.5.2", - "license": "BSD-3-Clause", + "resolved": "https://registry.npmjs.org/youtube-player/-/youtube-player-5.5.2.tgz", + "integrity": "sha512-ZGtsemSpXnDky2AUYWgxjaopgB+shFHgXVpiJFeNB5nWEugpW1KWYDaHKuLqh2b67r24GtP6HoSW5swvf0fFIQ==", "dependencies": { "debug": "^2.6.6", "load-script": "^1.0.0", @@ -8659,18 +9554,21 @@ }, "node_modules/youtube-player/node_modules/debug": { "version": "2.6.9", - "license": "MIT", + "resolved": "https://registry.npmjs.org/debug/-/debug-2.6.9.tgz", + "integrity": "sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA==", "dependencies": { "ms": "2.0.0" } }, "node_modules/youtube-player/node_modules/ms": { "version": "2.0.0", - "license": "MIT" + "resolved": "https://registry.npmjs.org/ms/-/ms-2.0.0.tgz", + "integrity": "sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==" }, "node_modules/zwitch": { "version": "2.0.4", - "license": "MIT", + "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz", + "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==", "funding": { "type": "github", "url": "https://github.com/sponsors/wooorm" diff --git a/agenta-web/package.json b/agenta-web/package.json index 187017ddc1..1ae9662666 100644 --- a/agenta-web/package.json +++ b/agenta-web/package.json @@ -21,6 +21,7 @@ "@heroicons/react": "^2.0.17", "@mdx-js/loader": "^2.3.0", "@mdx-js/react": "^2.3.0", + "@monaco-editor/react": "^4.5.2", "@next/mdx": "^13.4.13", "@types/js-beautify": "^1.14.0", "@types/mdx": "^2.0.6", diff --git a/agenta-web/src/components/EvaluationTable/CustomCodeRunEvaluationTable.tsx b/agenta-web/src/components/EvaluationTable/CustomCodeRunEvaluationTable.tsx new file mode 100644 index 0000000000..05706e002a --- /dev/null +++ b/agenta-web/src/components/EvaluationTable/CustomCodeRunEvaluationTable.tsx @@ -0,0 +1,544 @@ +import {useState, useEffect} from "react" +import type {ColumnType} from "antd/es/table" +import {CodeOutlined, LineChartOutlined} from "@ant-design/icons" +import { + Button, + Card, + Col, + Input, + Modal, + Row, + Space, + Spin, + Statistic, + Table, + Typography, + message, +} from "antd" +import {CustomEvaluation, Evaluation} from "@/lib/Types" +import { + updateEvaluationScenario, + callVariant, + fetchEvaluationResults, + updateEvaluation, + executeCustomEvaluationCode, + loadTestset, + updateEvaluationScenarioScore, + fetchEvaluationScenarioResults, + fetchCustomEvaluationDetail, +} from "@/lib/services/api" +import {useVariants} from "@/lib/hooks/useVariant" +import {useRouter} from "next/router" +import {EvaluationFlow, EvaluationType} from "@/lib/enums" +import {getOpenAIKey} from "@/lib/helpers/utils" +import {createUseStyles} from "react-jss" +import SecondaryButton from "../SecondaryButton/SecondaryButton" +import {exportCustomCodeEvaluationData} from "@/lib/helpers/evaluate" +import CodeBlock from "../DynamicCodeBlock/CodeBlock" + +const {Title} = Typography + +interface CustomCodeEvaluationTableProps { + evaluation: Evaluation + columnsCount: number + customEvaluationId: string + evaluationScenarios: CustomCodeEvaluationTableRow[] +} + +interface CustomCodeEvaluationTableRow { + id?: string + inputs: { + input_name: string + input_value: string + }[] + outputs: { + variant_name: string + variant_output: string + }[] + columnData0: string + correctAnswer: string + evaluation: string + codeResult: string + evaluationFlow: EvaluationFlow +} + +interface IVariantInputs { + input_name: string + input_value: string +} + +interface IScenarioScore { + scenario_id: string + score: string +} + +/** + * + * @param evaluation - Evaluation object + * @param evaluationScenarios - Evaluation rows + * @param columnsCount - Number of variants to compare face to face (per default 2) + * @returns + */ + +const useStyles = createUseStyles({ + appVariant: { + backgroundColor: "rgb(201 255 216)", + color: "rgb(0 0 0)", + padding: 4, + borderRadius: 5, + }, + inputTestContainer: { + display: "flex", + justifyContent: "space-between", + }, + inputTest: { + backgroundColor: "rgb(201 255 216)", + color: "rgb(0 0 0)", + padding: 4, + borderRadius: 5, + }, + recordInput: { + marginBottom: 10, + }, + tag: { + fontSize: "14px", + }, + card: { + marginBottom: 20, + }, + codeButton: { + marginBottom: 20, + }, + cardTextarea: { + height: 120, + padding: "0px 0px", + }, + row: {marginBottom: 20}, + evaluationResult: { + padding: "30px 10px", + marginBottom: 20, + backgroundColor: "rgb(244 244 244)", + border: "1px solid #ccc", + borderRadius: 5, + }, + h3: { + marginTop: 0, + }, + resultDataRow: { + maxWidth: "100%", + overflowX: "auto", + whiteSpace: "nowrap", + }, + resultDataCol: { + display: "inline-block", + }, + resultDataCard: { + width: 200, + margin: "0 4px", + }, + stat: { + "& .ant-statistic-content-value": { + color: "#3f8600", + }, + }, + codeBlockContainer: { + marginTop: 24, + }, +}) + +const CustomCodeRunEvaluationTable: React.FC = ({ + evaluation, + evaluationScenarios, + columnsCount, + customEvaluationId, +}) => { + const classes = useStyles() + const router = useRouter() + const appName = Array.isArray(router.query.app_name) + ? router.query.app_name[0] + : router.query.app_name || "" + + const variants = evaluation.variants + + const variantData = useVariants(appName, variants) + + const [rows, setRows] = useState([]) + + const [shouldFetchResults, setShouldFetchResults] = useState(false) + const [evaluationStatus, setEvaluationStatus] = useState(evaluation.status) + const [evaluationResults, setEvaluationResults] = useState(null) + const [evaluationTestsets, setEvaluationTestsets] = useState([]) + const [listScenariosResult, setListScenariosResult] = useState([]) + const [customEvaluation, setCustomEvaluation] = useState() + const [modalOpen, setModalOpen] = useState(false) + + useEffect(() => { + if (customEvaluationId && customEvaluation?.id !== customEvaluationId) { + fetchCustomEvaluationDetail(customEvaluationId) + .then(setCustomEvaluation) + .catch(console.error) + } + }, [customEvaluationId]) + + useEffect(() => { + if (evaluationScenarios) { + setRows(evaluationScenarios) + Promise.all(evaluationScenarios.map((item) => retrieveScenarioScore(item.id!))) + } + }, [evaluationScenarios]) + + useEffect(() => { + if (evaluationStatus === EvaluationFlow.EVALUATION_FINISHED) { + fetchEvaluationResults(evaluation.id) + .then((data) => setEvaluationResults(data)) + .catch((err) => console.error("Failed to fetch results:", err)) + .then(() => { + updateEvaluation(evaluation.id, {status: EvaluationFlow.EVALUATION_FINISHED}) + }) + .catch((err) => console.error("Failed to fetch results:", err)) + } + }, [evaluationStatus, evaluation.id]) + + useEffect(() => { + const getTests = async () => { + const data = await loadTestset(evaluation.testset._id) + if (data.csvdata.length > 0) { + setEvaluationTestsets(data.csvdata) + } + } + + getTests() + }, [evaluation]) + + const handleInputChange = ( + e: React.ChangeEvent, + rowIndex: number, + inputFieldKey: number, + ) => { + const newRows = [...rows] + newRows[rowIndex].inputs[inputFieldKey].input_value = e.target.value + setRows(newRows) + } + + const runAllEvaluations = async () => { + try { + setEvaluationStatus(EvaluationFlow.EVALUATION_STARTED) + await Promise.all(rows.map((_, rowIndex) => runEvaluation(rowIndex))) + setEvaluationStatus(EvaluationFlow.EVALUATION_FINISHED) + console.log("All evaluations finished.") + } catch (err) { + console.error("An error occurred:", err) + } + } + + const runEvaluation = async (rowIndex: number) => { + const inputParamsDict = rows[rowIndex].inputs.reduce((acc: {[key: string]: any}, item) => { + acc[item.input_name] = item.input_value + return acc + }, {}) + + const columnsDataNames = ["columnData0"] + let idx = 0 + for (const columnName of columnsDataNames) { + setRowValue(rowIndex, "evaluationFlow", EvaluationFlow.COMPARISON_RUN_STARTED) + + let result = await callVariant( + inputParamsDict, + variantData[idx].inputParams!, + variantData[idx].optParams!, + variantData[idx].URIPath!, + ) + setRowValue(rowIndex, columnName as any, result) + await evaluate(rowIndex) + setShouldFetchResults(true) + if (rowIndex === rows.length - 1) { + message.success("Evaluation Results Saved") + } + idx++ + } + } + + const correctAnswer = (variantInputs: Array) => { + const {input_name, input_value} = variantInputs[0] + const filteredData: any = evaluationTestsets.filter( + (item) => item[input_name] === input_value, + )[0] + return filteredData?.correct_answer + } + + const calcScenarioScore = (ix: number) => { + const item = rows[ix] + + let score = +item.codeResult + if (!item.codeResult && item.outputs.length && listScenariosResult.length) { + score = +(listScenariosResult.find((res) => res.scenario_id === item.id)?.score || 0) + } + if (isNaN(score)) score = 0 + + return score.toFixed(2) + } + + const retrieveScenarioScore = async (scenario_id: string) => { + const response: any = await fetchEvaluationScenarioResults(scenario_id) + setListScenariosResult((prev) => [...prev, response.data as IScenarioScore]) + } + + const evaluate = async (rowNumber: number) => { + const evaluation_scenario_id = rows[rowNumber].id + const appVariantNameX = variants[0].variantName + const outputVariantX = rows[rowNumber].columnData0 + + if (evaluation_scenario_id) { + const data = { + outputs: [{variant_name: appVariantNameX, variant_output: outputVariantX}], + inputs: rows[rowNumber].inputs, + correct_answer: correctAnswer(rows[rowNumber].inputs), + open_ai_key: getOpenAIKey(), + } + + try { + // Update evaluation scenario + const responseData = await updateEvaluationScenario( + evaluation.id, + evaluation_scenario_id, + data, + evaluation.evaluationType as EvaluationType, + ) + + if (responseData) { + // Call custom code evaluation + const result = await callCustomCodeHandler( + data.inputs, + appName, + appVariantNameX, + responseData.outputs, + ) + if (result) { + // Update the evaluation scenario with the score + await updateEvaluationScenarioScore(evaluation_scenario_id, result) + } + setRowValue(rowNumber, "codeResult", result) + } + + setRowValue(rowNumber, "evaluationFlow", EvaluationFlow.EVALUATION_FINISHED) + setRowValue(rowNumber, "evaluation", responseData.evaluation) + } catch (err) { + console.log(err) + } + } + } + + const callCustomCodeHandler = async ( + variantInput: Array, + appName: string, + variantName: string, + outputs: Array, + ) => { + const expectedTarget = correctAnswer(variantInput) + console.log("customEvaluationId: ", customEvaluationId) + const data = { + evaluation_id: customEvaluationId, + inputs: variantInput, + outputs: outputs, + app_name: appName, + correct_answer: expectedTarget, + variant_name: variantName, + } + const response = await executeCustomEvaluationCode(data) + if (response.status === 200) { + return response.data + } + } + + const setRowValue = ( + rowIndex: number, + columnKey: keyof CustomCodeEvaluationTableRow, + value: any, + ) => { + const newRows = [...rows] + newRows[rowIndex][columnKey] = value as never + setRows(newRows) + } + + const dynamicColumns: ColumnType[] = Array.from( + {length: columnsCount}, + (_, i) => { + const columnKey = `columnData${i}` + + return { + title: ( +
+ App Variant: + + {variants ? variants[i].variantName : ""} + +
+ ), + dataIndex: columnKey, + key: columnKey, + width: "30%", + render: (text: any, record: CustomCodeEvaluationTableRow, rowIndex: number) => { + if (record.evaluationFlow === EvaluationFlow.COMPARISON_RUN_STARTED) { + return ( +
+ +
+ ) + } + if (record.outputs && record.outputs.length > 0) { + const outputValue = record.outputs.find( + (output: any) => output.variant_name === variants[i].variantName, + )?.variant_output + return
{outputValue}
+ } + return text + }, + } + }, + ) + + const columns = [ + { + key: "1", + width: "30%", + title: ( +
+
+ Inputs (Test set: + {evaluation.testset.name} + ) +
+
+ ), + dataIndex: "inputs", + render: (text: any, record: CustomCodeEvaluationTableRow, rowIndex: number) => ( +
+ {record && + record.inputs && + record.inputs.length && // initial value of inputs is array with 1 element and variantInputs could contain more than 1 element + record.inputs.map((input: any, index: number) => ( +
+ handleInputChange(e, rowIndex, index)} + /> +
+ ))} +
+ ), + }, + ...dynamicColumns, + { + title: "Correct Answer", + dataIndex: "correctAnswer", + key: "correctAnswer", + width: "30%", + + render: (text: any, record: any, rowIndex: number) => { + return
{correctAnswer(record.inputs)}
+ }, + }, + { + title: "Result", + dataIndex: "codeResult", + key: "code_result", + width: 200, + align: "center" as "left" | "right" | "center", + render: (_: number, record: any, ix: number) => { + return ( + + {calcScenarioScore(ix)} + + ) + }, + }, + ] + + return ( +
+ Custom Code Evaluation +
+ + + + + + exportCustomCodeEvaluationData( + evaluation, + rows.map((item, ix) => ({ + ...item, + score: calcScenarioScore(ix), + })), + ) + } + disabled={evaluationStatus !== EvaluationFlow.EVALUATION_FINISHED} + > + Export results + + + + + + + + + + + + +
+ + {customEvaluation?.python_code && ( + + )} + +
+ "editable-row"} + /> + + + setModalOpen(false)} + width={700} + > +
+ +
+
+ + ) +} + +export default CustomCodeRunEvaluationTable diff --git a/agenta-web/src/components/Evaluations/AutomaticEvaluationResult.tsx b/agenta-web/src/components/Evaluations/AutomaticEvaluationResult.tsx index 32648a0d64..e316c7c2b4 100644 --- a/agenta-web/src/components/Evaluations/AutomaticEvaluationResult.tsx +++ b/agenta-web/src/components/Evaluations/AutomaticEvaluationResult.tsx @@ -1,5 +1,5 @@ import {deleteEvaluations, fetchData} from "@/lib/services/api" -import {Button, Collapse, Statistic, Table, Typography} from "antd" +import {Button, Collapse, Result, Statistic, Table, Typography} from "antd" import {useRouter} from "next/router" import {useEffect, useState} from "react" import {ColumnsType} from "antd/es/table" @@ -31,6 +31,8 @@ interface EvaluationListTableDataType { } variant: any[] } + avgScore: number + custom_code_eval_id: string resultsData: {[key: string]: number} createdAt: string } @@ -74,7 +76,7 @@ export default function AutomaticEvaluationResult() { const router = useRouter() const [evaluationsList, setEvaluationsList] = useState([]) const [selectedRowKeys, setSelectedRowKeys] = useState([]) - const [selectionType, setSelectionType] = useState<"checkbox" | "radio">("checkbox") + const [selectionType] = useState<"checkbox" | "radio">("checkbox") const [deletingLoading, setDeletingLoading] = useState(true) const {appTheme} = useAppTheme() const classes = useStyles({themeMode: appTheme} as StyleProps) @@ -102,6 +104,7 @@ export default function AutomaticEvaluationResult() { EvaluationType.auto_similarity_match, EvaluationType.auto_regex_test, EvaluationType.auto_ai_critique, + EvaluationType.custom_code_run, EvaluationType.auto_webhook_test, ].includes(item.evaluation_type as EvaluationType) ) { @@ -113,7 +116,9 @@ export default function AutomaticEvaluationResult() { evaluationType: item.evaluation_type, status: item.status, testset: item.testset, + custom_code_eval_id: item.custom_code_evaluation_id, resultsData: results.results_data, + avgScore: results.avg_score, } } }) @@ -126,7 +131,8 @@ export default function AutomaticEvaluationResult() { .filter( (item) => item.resultsData !== undefined || - !(Object.keys(item.scoresData).length === 0), + !(Object.keys(item.scoresData || {}).length === 0) || + item.avgScore !== undefined, ) setEvaluationsList(validEvaluations) setDeletingLoading(false) @@ -157,6 +163,10 @@ export default function AutomaticEvaluationResult() { router.push(`/apps/${app_name}/evaluations/${evaluation.key}/auto_webhook_test`) } else if (evaluationType === EvaluationType.auto_ai_critique) { router.push(`/apps/${app_name}/evaluations/${evaluation.key}/auto_ai_critique`) + } else if (evaluationType === EvaluationType.custom_code_run) { + router.push( + `/apps/${app_name}/evaluations/${evaluation.key}/custom_code_run?custom_eval_id=${evaluation.custom_code_eval_id}`, + ) } } @@ -197,6 +207,7 @@ export default function AutomaticEvaluationResult() { dataIndex: "averageScore", key: "averageScore", render: (value: any, record: EvaluationListTableDataType, index: number) => { + let score = 0 if (record.scoresData) { let correctScore = 0 @@ -207,29 +218,22 @@ export default function AutomaticEvaluationResult() { correctScore = record.scoresData.scores.true } - let scoresAverage = (correctScore / record.scoresData.nb_of_rows) * 100 - return ( - - - - ) + score = (correctScore / record.scoresData.nb_of_rows) * 100 + } else if (record.resultsData) { + score = + calculateResultsDataAvg(record.resultsData) * + (record.evaluationType === EvaluationType.auto_webhook_test ? 100 : 10) + score = isNaN(score) ? 0 : score + } else if (record.avgScore) { + score = record.avgScore } - const percentage = - calculateResultsDataAvg(record.resultsData) * - (record.evaluationType === EvaluationType.auto_webhook_test ? 100 : 10) - return ( @@ -309,7 +313,6 @@ export default function AutomaticEvaluationResult() { }} columns={columns} dataSource={evaluationsList} - // loading={loading} /> ), diff --git a/agenta-web/src/components/Evaluations/CustomPythonCode.tsx b/agenta-web/src/components/Evaluations/CustomPythonCode.tsx new file mode 100644 index 0000000000..5547fc5aef --- /dev/null +++ b/agenta-web/src/components/Evaluations/CustomPythonCode.tsx @@ -0,0 +1,207 @@ +import React, {useState, useEffect} from "react" +import {useRouter} from "next/router" +import {Input, Form, Button, Row, Col, Typography, notification} from "antd" +import {CreateCustomEvaluationSuccessResponse} from "@/lib/Types" +import {saveCustomCodeEvaluation, fetchCustomEvaluationNames} from "@/lib/services/api" +import CodeBlock from "@/components/DynamicCodeBlock/CodeBlock" +import CopyButton from "../CopyButton/CopyButton" +import Editor from "@monaco-editor/react" + +interface ICustomPythonProps { + classes: any + appName: string + appTheme: string +} + +interface ICustomEvalNames { + id: string + evaluation_name: string +} + +const CustomPythonCode: React.FC = ({classes, appName, appTheme}) => { + const {Title} = Typography + const [form] = Form.useForm() + const router = useRouter() + + const [submitting, setSubmittingData] = useState(false) + const [evalNames, setEvalNames] = useState([]) + const [evalNameExist, setEvalNameExist] = useState(false) + + let prevKey = "" + const showNotification = (config: Parameters[0]) => { + if (prevKey) notification.destroy(prevKey) + prevKey = (config.key || "") as string + notification.open(config) + } + + useEffect(() => { + const evaluationNames = async () => { + const response: any = await fetchCustomEvaluationNames(appName) + if (response.status === 200) { + setEvalNames(response.data) + } + } + + evaluationNames() + }, [appName]) + + const handlerToSubmitFormData = async (values: any) => { + setSubmittingData(true) + const data = { + evaluation_name: values.evaluationName, + python_code: values.pythonCode, + app_name: appName, + } + const response = await saveCustomCodeEvaluation(data) + if (response.status === 200) { + const data: CreateCustomEvaluationSuccessResponse = response.data + + // Disable submitting form data + setSubmittingData(false) + showNotification({ + type: "success", + message: "Custom Evaluation", + description: data.message, + key: data.evaluation_id, + }) + + // Reset form fields and redirect user to evaluations page + form.resetFields() + router.push(`/apps/${appName}/evaluations/`) + } + } + + const isSaveButtonDisabled = () => { + return ( + evalNameExist || + !form.isFieldsTouched(true) || + form.getFieldsError().filter(({errors}) => errors.length).length > 0 + ) + } + + const pythonDefaultEvalCode = () => { + return `from typing import Dict + +def evaluate( + app_params: Dict[str, str], + inputs: Dict[str, str], + output: str, + correct_answer: str +) -> float: + # ... + return 0.75 # Replace with your calculated score` + } + + const switchEditorThemeBasedOnTheme = () => { + if (appTheme == "light") { + return "vs-light" + } else if (appTheme == "dark") { + return "vs-dark" + } + } + + const checkForEvaluationName = async () => { + const evalName = form.getFieldValue("evaluationName") + if (evalNames.map((e) => e.evaluation_name).includes(evalName)) { + showNotification({ + type: "error", + message: "Custom Evaluation", + duration: 5, + description: "Evaluation name already exist. ", + }) + setEvalNameExist(true) + } else { + setEvalNameExist(false) + } + } + + return ( +
+ + Save Python Code Evaluation + +
+ +
+ + + +
+

+ Example Evaluation Function: + +

+ +

+ Evaluation Function Description: +

+ + The code must accept: +
    +
  • The app variant parameters
  • +
  • A list of inputs
  • +
  • An output
  • +
  • A target or correct answer
  • +
+
+

+ NOTE: The function name of your code evaluation must be + "evaluate". +

+
+ + + + form.setFieldsValue({pythonCode: code})} + /> + + + + + {() => ( + + )} + + + + + + ) +} + +export default CustomPythonCode diff --git a/agenta-web/src/components/Evaluations/Evaluations.tsx b/agenta-web/src/components/Evaluations/Evaluations.tsx index cdbb4d2823..d6750ef8d9 100644 --- a/agenta-web/src/components/Evaluations/Evaluations.tsx +++ b/agenta-web/src/components/Evaluations/Evaluations.tsx @@ -8,14 +8,20 @@ import { RadioChangeEvent, Row, Typography, + Select, message, } from "antd" -import {DownOutlined} from "@ant-design/icons" -import {createNewEvaluation, fetchVariants, useLoadTestsetsList} from "@/lib/services/api" +import {DownOutlined, PlusOutlined} from "@ant-design/icons" +import { + createNewEvaluation, + fetchVariants, + useLoadTestsetsList, + fetchCustomEvaluations, +} from "@/lib/services/api" import {getOpenAIKey} from "@/lib/helpers/utils" import {useRouter} from "next/router" -import {Variant, Parameter, GenericObject} from "@/lib/Types" -import {EvaluationType} from "@/lib/enums" +import {Variant, Parameter, GenericObject, SingleCustomEvaluation} from "@/lib/Types" +import {EvaluationFlow, EvaluationType} from "@/lib/enums" import {EvaluationTypeLabels} from "@/lib/helpers/utils" import EvaluationErrorModal from "./EvaluationErrorModal" import {getAllVariantParameters} from "@/lib/helpers/variantHelper" @@ -27,6 +33,7 @@ import similarity from "@/media/transparency.png" import regexIcon from "@/media/programming.png" import webhookIcon from "@/media/link.png" import ai from "@/media/artificial-intelligence.png" +import codeIcon from "@/media/browser.png" import {useAppTheme} from "../Layout/ThemeContextProvider" import {createUseStyles} from "react-jss" import AutomaticEvaluationResult from "./AutomaticEvaluationResult" @@ -54,6 +61,12 @@ const useStyles = createUseStyles({ display: "flex", justifyContent: "flex-end", }, + createCustomEvalBtn: { + color: "#fff !important", + backgroundColor: "#0fbf0f", + marginRight: "20px", + borderColor: "#0fbf0f !important", + }, evaluationType: { display: "flex", alignItems: "center", @@ -69,6 +82,12 @@ const useStyles = createUseStyles({ marginTop: 40, width: "100%", }, + optionSelected: { + border: "1px solid #1668dc", + "& .ant-select-selection-item": { + color: "#1668dc !important", + }, + }, radioGroup: { width: "100%", }, @@ -76,6 +95,25 @@ const useStyles = createUseStyles({ display: "block", marginBottom: "10px", }, + selectGroup: { + width: "100%", + display: "block", + "& .ant-select-selector": { + borderRadius: 0, + }, + "& .ant-select-selection-item": { + marginLeft: 34, + }, + }, + customCodeSelectContainer: { + position: "relative", + }, + customCodeIcon: { + position: "absolute", + left: 16, + top: 4.5, + pointerEvents: "none", + }, thresholdStyles: { paddingLeft: 10, paddingRight: 10, @@ -84,6 +122,12 @@ const useStyles = createUseStyles({ marginRight: 10, width: "100%", }, + newCodeEval: { + display: "flex", + alignItems: "center", + gap: 8, + color: "#1668dc", + }, }) const {Title} = Typography @@ -109,6 +153,7 @@ export default function Evaluations() { const [selectedEvaluationType, setSelectedEvaluationType] = useState( "Select an evaluation type", ) + const [selectedCustomEvaluationID, setSelectedCustomEvaluationID] = useState("") const appName = router.query.app_name?.toString() || "" @@ -120,6 +165,9 @@ export default function Evaluations() { const [llmAppPromptTemplate, setLLMAppPromptTemplate] = useState("") + const [customCodeEvaluationList, setCustomCodeEvaluationList] = + useState() + useEffect(() => { const fetchData = async () => { try { @@ -145,9 +193,10 @@ export default function Evaluations() { try { // Map the variants to an array of promises const promises = variants.map((variant) => - getAllVariantParameters(appName, variant).then(({inputs}) => ({ + getAllVariantParameters(appName, variant).then((data) => ({ variantName: variant.variantName, - inputs: inputs.map((inputParam: Parameter) => inputParam.name), + inputs: + data?.inputs.map((inputParam: Parameter) => inputParam.name) || [], })), ) @@ -293,6 +342,7 @@ export default function Evaluations() { evaluationType: EvaluationType[selectedEvaluationType as keyof typeof EvaluationType], evaluationTypeSettings, llmAppPromptTemplate, + selectedCustomEvaluationID, testset: { _id: selectedTestset._id!, name: selectedTestset.name, @@ -324,12 +374,17 @@ export default function Evaluations() { router.push(`/apps/${appName}/evaluations/${evaluationTableId}/auto_webhook_test`) } else if (selectedEvaluationType === EvaluationType.auto_ai_critique) { router.push(`/apps/${appName}/evaluations/${evaluationTableId}/auto_ai_critique`) + } else if (selectedEvaluationType === EvaluationType.custom_code_run) { + router.push( + `/apps/${appName}/evaluations/${evaluationTableId}/custom_code_run?custom_eval_id=${selectedCustomEvaluationID}`, + ) } } const onChangeEvaluationType = (e: RadioChangeEvent) => { const evaluationType = e.target.value setSelectedEvaluationType(evaluationType) + setSelectedCustomEvaluationID("") let nbOfVariants = 1 if (evaluationType === EvaluationType.human_a_b_testing) { nbOfVariants = 2 @@ -345,6 +400,23 @@ export default function Evaluations() { ) } + useEffect(() => { + if (appName) + fetchCustomEvaluations(appName).then((res) => { + if (res.status === 200) { + setCustomCodeEvaluationList(res.data) + } + }) + }, [appName]) + + const handleCustomEvaluationOptionChange = (id: string) => { + if (id === "new") { + router.push(`/apps/${appName}/evaluations/create_custom_evaluation`) + } + setSelectedCustomEvaluationID(id) + setSelectedEvaluationType(EvaluationType.custom_code_run) + } + return (
@@ -359,34 +431,18 @@ export default function Evaluations() { onChangeEvaluationType(e)} className={classes.radioGroup} + value={selectedEvaluationType} >
- - {EvaluationTypeLabels[EvaluationType.human_a_b_testing]}
- {/* - - {EvaluationTypeLabels[EvaluationType.human_scoring]} - - soon - - */} Automatic evaluation @@ -470,6 +526,38 @@ export default function Evaluations() {
+ +
+