From c953d08ddc33369078ccd23cd75209cfd9439711 Mon Sep 17 00:00:00 2001 From: Khauneesh-AI Date: Mon, 5 May 2025 23:41:38 +0530 Subject: [PATCH 01/17] analyzer for prompt assist --- app/core/config.py | 89 +++++++ app/core/prompt_templates.py | 369 ++++++++++++++++++++++++++---- app/main.py | 52 ++++- app/models/request_models.py | 1 + app/services/synthesis_service.py | 43 ++-- pyproject.toml | 10 +- uv.lock | 198 ++++++++++++++++ 7 files changed, 692 insertions(+), 70 deletions(-) diff --git a/app/core/config.py b/app/core/config.py index 498b6f5..ea8d6f1 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -336,4 +336,93 @@ def caii_check(endpoint: str, timeout: int = 3) -> requests.Response: return r +LENDING_DATA_PROMPT = """ + Create profile data for the LendingClub company which specialises in lending various types of loans to urban customers. + + Background: + LendingClub is a peer-to-peer lending platform connecting borrowers with investors. The dataset captures loan applications, + borrower profiles, and outcomes to assess credit risk, predict defaults, and determine interest rates. + + + Loan Record field: + + Each generated record must include the following fields in the exact order provided, with values generated as specified: + + - loan_amnt: The listed amount of the loan applied for by the borrower. If at some point in time, the credit department + reduces the loan amount, then it will be reflected in this value. + - term: The number of payments on the loan. Values are in months and can be either " 36 months" or " 60 months". + - int_rate: Interest Rate on the loan + - installment: The monthly payment owed by the borrower if the loan originates. + - grade: LC assigned loan grade (Possible values: A, B, C, D, E, F, G) + - sub_grade: LC assigned loan subgrade (Possible sub-values: 1-5 i.e. A5) + - emp_title: The job title supplied by the Borrower when applying for the loan. + - emp_length: Employment length in years. Possible values are between 0 and 10 where 0 means less than one year and 10 + means ten or more years. + - home_ownership: The home ownership status provided by the borrower during registration or obtained from the credit report. + Possible values are: RENT, OWN, MORTGAGE, ANY, OTHER + - annual_inc: The self-reported annual income provided by the borrower during registration. + - verification_status: Indicates if income was verified by LC, not verified, or if the income source was verified + - issue_d: The month which the loan was funded + - loan_status: Current status of the loan (Possible values: "Fully Paid", "Charged Off") + - purpose: A category provided by the borrower for the loan request. + - title: The loan title provided by the borrower + - dti: A ratio calculated using the borrower’s total monthly debt payments on the total debt obligations, excluding mortgage + and the requested LC loan, divided by the borrower’s self-reported monthly income. + - earliest_cr_line: The month the borrower's earliest reported credit line was opened + - open_acc: The number of open credit lines in the borrower's credit file. + - pub_rec: Number of derogatory public records + - revol_bal: Total credit revolving balance + - revol_util: Revolving line utilization rate, or the amount of credit the borrower is using relative to all available + revolving credit. + - total_acc: The total number of credit lines currently in the borrower's credit file + - initial_list_status: The initial listing status of the loan. Possible values are: w, f + - application_type: Indicates whether the loan is an individual application or a joint application with two co-borrowers + - mort_acc: Number of mortgage accounts. + - pub_rec_bankruptcies: Number of public record bankruptcies + - address: The physical address of the person + + In addition to the definitions above, when generating samples, adhere to following guidelines: + + Privacy Compliance guidelines: + 1) Ensure PII from examples such as addresses are not used in the generated data to minimize any privacy concerns. + 2) Avoid real PII in addresses. Use generic street names and cities. + + Formatting guidelines: + 1) Use consistent decimal precision (e.g., "10000.00" for loan_amnt). + 2) Dates (e.g. issue_d, earliest_cr_line) should follow the "Jan-YYYY" format. + 3) term has a leading space before the number of months (i.e. " 36 months") + 4) The address field is a special case where the State zipcode needs to be exactly as specified in the seed instructions. + The persons address must follow the format as specified in the examples with the State zipcode coming last. + 5) Any other formatting guidelines that can be inferred from the examples or field definitions but are not listed above. + + Cross-row guidelines: + 1) Generated data should maintain consistency with all statistical parameters and distributions defined in the seed instruction + across records (e.g., 60% of `term` as " 36 months"). + + Cross-column guidelines: + 1) Ensure logical and realistic consistency and correlations between variables. Examples include but not limited to: + a) Grade/Sub-grade consistency: Sub-grade must match the grade (e.g., "B" grade → "B1" to "B5"). + b) Interest Rate vs Grade/Subgrade relationship: Higher subgrades (e.g., A5) could have higher `int_rate` than lower subgrades (e.g., A3). + c) Mortgage Consistency: `mort_acc` should be 1 or more if `home_ownership` is `MORTGAGE`. + d) Open Accounts: `open_acc` ≤ `total_acc`. + + Data distribution guidelines: + 1) Continuous Variables (e.g., `loan_amnt`, `annual_inc`): Adhere to the mean and standard deviation given in the seed + instructions for each variable. + 2) Categorical variables (e.g., `term`, `home_ownership`): Use probability distributions given in the seed instructions + (e.g. 60% for " 36 months", 40% for " 60 months"). + 3) Discrete Variables (e.g., `pub_rec`, `mort_acc`): Adhere to value ranges and statistical parameters + provided in the seed instructions. + 4) Any other logical data distribution guidelines that can be inferred from the seed instructions or field definitions + and are not specified above. + + Background knowledge and realism guidelines: + 1) Ensure fields such as interest rates reflect real-world interest rates at the time the loan is issued. + 2) Generate values that are plausible (e.g., `annual_inc` ≤ $500,000 for most `emp_length` ranges). + 3) Avoid unrealistic values (e.g., `revol_util` as "200%" is unrealistic). + 4) Ensure that the generated data is realistic and plausible, avoiding extreme or impossible values. + 5) Ensure that the generated data is diverse and not repetitive, avoiding identical or very similar records. + 6) Ensure that the generated data is coherent and consistent, avoiding contradictions or inconsistencies between fields. + 7) Ensure that the generated data is relevant to the LendingClub use case and adheres to the guidelines provided.""" + diff --git a/app/core/prompt_templates.py b/app/core/prompt_templates.py index ad838ee..9785636 100644 --- a/app/core/prompt_templates.py +++ b/app/core/prompt_templates.py @@ -2,8 +2,13 @@ import json import csv import os +import pandas as pd +import numpy as np from app.models.request_models import Example, Example_eval -from app.core.config import UseCase, Technique, ModelFamily, get_model_family,USE_CASE_CONFIGS +from app.core.config import UseCase, Technique, ModelFamily, get_model_family,USE_CASE_CONFIGS, LENDING_DATA_PROMPT +from app.core.data_loader import DataLoader +from app.core.data_analyser import DataAnalyser +from app.core.summary_formatter import SummaryFormatter DEFAULT_SCHEMA = """CREATE TABLE employees ( id INT PRIMARY KEY, @@ -580,52 +585,303 @@ def get_freeform_eval_prompt(model_id: str, return final_prompt - @staticmethod - def create_custom_prompt(model_id: str, - custom_prompt:str - ) -> str: + # @staticmethod + # def create_custom_prompt(model_id: str, + # custom_prompt:str, + # example_path: Optional[str], + # ) -> str: - final_instruction = f"""You are a brilliant prompt engineer. Your job is to create a best prompt for provided task: {custom_prompt} which can get - best response from large language model - The prompt should Focus on: + # final_instruction = f"""You are a brilliant prompt engineer. Your job is to create a best prompt for provided task: {custom_prompt} which can get + # best response from large language model + # The prompt should Focus on: + + # - The core task objective + # - Key aspects to consider or maintain + # - Any special requirements specific to the task. + # For example the prompt for code generation is below + # {DEFAULT_CODE_GENERATION_PROMPT} + # Make sure you just give the prompt in your response which can be directly used by large language model. + # No need to give any explanation but just the prompt in same format as the example given above. + # """ + # model_family = get_model_family(model_id) + + # if model_family== ModelFamily.LLAMA: + + # final_prompt = "<|begin_of_text|><|start_header_id|>user<|end_header_id|>" + '\n' + final_instruction + '\n' + "<|eot_id|><|start_header_id|>assistant<|end_header_id|>" - - The core task objective - - Key aspects to consider or maintain - - Any special requirements specific to the task. - for example the prompt for code generation is below - {DEFAULT_CODE_GENERATION_PROMPT} - Make sure you just give the prompt in your response which can be directly used by large language model. - No need to give any explanation but just the prompt in same format as the example given above. - """ - model_family = get_model_family(model_id) + # elif model_family== ModelFamily.MISTRAL: + + # final_prompt = '[INST]' + "\n" + final_instruction + '\n' + '[/INST]' + + # elif model_family == ModelFamily.CLAUDE: + # final_prompt = "\n" + final_instruction + + # elif model_family== ModelFamily.QWEN: + # system_prompt = "You are Qwen, created by Alibaba Cloud. You are a helpful assistant." + + # final_prompt = f'''<|im_start|>system + # {system_prompt}<|im_end|> + # <|im_start|>user + + # {final_instruction}<|im_end|> + # <|im_start|>assistant + # ''' + + + # else: + # final_prompt = "\n" + final_instruction + # return final_prompt + + def create_custom_prompt( + model_id: str, + custom_prompt: str, + example_path: str | None = None, +) -> str: + """ + Create a custom prompt for a language model, optionally including dataset analysis. - if model_family== ModelFamily.LLAMA: + Args: + model_id: The ID of the model to create the prompt for + custom_prompt: The base custom prompt text + example_path: Optional path to an example dataset - final_prompt = "<|begin_of_text|><|start_header_id|>user<|end_header_id|>" + '\n' + final_instruction + '\n' + "<|eot_id|><|start_header_id|>assistant<|end_header_id|>" + Returns: + A formatted prompt suitable for the specified model + """ + summary_block = "" + example_block = "" - elif model_family== ModelFamily.MISTRAL: + if example_path: + print(f"Loading example data from: {example_path}") + try: + df = DataLoader.load(example_path) + #print(f"Loaded DataFrame with shape: {df.shape}") + + # Apply type inference to improve analysis + df = DataLoader.infer_dtypes(df) + + if "error_message" in df.columns and len(df.columns) == 1: + # Data loading failed + print(f"Error loading data: {df['error_message'][0]}") + # Keep summary and example blocks as empty strings + elif not df.empty: + # ---------- build summary block ---------- + try: + print("Analyzing data...") + summary_dict = DataAnalyser.analyse(df) + + # Create a more structured summary with explanations + summary_block = ( + "\n" + "INSTRUCTIONS: The following analysis provides key insights about the dataset that should guide your synthetic data generation. Use these signals to match distributions and relationships when generating synthetic data.\n\n" + ) + + # Add section for columns classification + if "columns" in summary_dict: + summary_block += (""" + ## Column Types\n + "These are all columns identified in the dataset in given specific order:\n\n + Make sure to provide definitions of each column in the same order as they are in the dataset. + Don't change or skip any column name or order. + """) + + + + + summary_block += "\n".join(f"- {col}" for col in summary_dict["columns"]) + "\n\n" + + # Add section for statistical analysis + if "statistical_analysis" in summary_dict: + summary_block += ( + "## Statistical Analysis\n" + "These statistics describe the distributions of values in the dataset:\n\n" + ) + + if "numeric" in summary_dict["statistical_analysis"]: + summary_block += ( + "### Numeric Statistics\n" + "Key statistics for numeric columns (mean, median, min, max, etc.):\n" + f"{json.dumps(summary_dict['statistical_analysis']['numeric'], indent=2)}\n\n" + ) + + if "categorical" in summary_dict["statistical_analysis"]: + summary_block += ( + "### Categorical Statistics\n" + "Distribution of values in categorical columns:\n" + f"{json.dumps(summary_dict['statistical_analysis']['categorical'], indent=2)}\n\n" + ) + + if "datetime" in summary_dict["statistical_analysis"]: + summary_block += ( + "### DateTime Statistics\n" + "Temporal patterns and ranges in datetime columns:\n" + f"{json.dumps(summary_dict['statistical_analysis']['datetime'], indent=2)}\n\n" + ) + + # Add section for cross-row relationships + if "cross_row_relationship" in summary_dict: + summary_block += ( + "## Cross-Row Relationships\n" + "These insights describe patterns across rows in the dataset:\n\n" + f"{json.dumps(summary_dict['cross_row_relationship'], indent=2)}\n\n" + ) + + # Add section for cross-column relationships + if "cross_column_relationship" in summary_dict: + summary_block += ( + "## Cross-Column Relationships\n" + "These insights describe correlations and dependencies between columns:\n\n" + f"{json.dumps(summary_dict['cross_column_relationship'], indent=2)}\n\n" + ) + + # Close the data summary block + summary_block += "\n" + + print("Data analysis completed successfully.") + + except Exception as e: + # Analysis failed → keep summary_block as empty string + print(f"Error in data analysis: {str(e)}") + # Do NOT add any error messages to blocks + + # ---------- build example block ---------- + try: + print("Creating CSV snippet...") + csv_snippet = SummaryFormatter.first_rows_block(df) + example_block = ( + "\n" + "INSTRUCTIONS: The CSV snippet shows the first 10 rows of the " + "original dataset. Preserve this column order, header names, " + "and data types while creating new rows. " + "Use this to create a comprehensive list of all columns and their definitions. " + "Make sure the list covers all details and columns which will be required " + "to create data.\n" + f"{csv_snippet}" + "\n" + ) + print("CSV snippet created successfully.") + except Exception as e: + # Snippet failed → keep example_block as empty string + print(f"Error creating CSV snippet: {str(e)}") + # Do NOT add any error messages to blocks + except Exception as e: + print(f"Error processing example file: {str(e)}") + # Keep blocks as empty strings + # Do NOT add any error messages to blocks + + # Construct the final instruction with proper error handling for missing constants + try: - final_prompt = '[INST]' + "\n" + final_instruction + '\n' + '[/INST]' + + if example_path: + #Construct the final instruction + final_instruction = f"""You are a brilliant prompt engineer. + Your task: **{custom_prompt}** - elif model_family == ModelFamily.CLAUDE: - final_prompt = "\n" + final_instruction + {summary_block}{example_block}Return **only** the finished prompt that can be sent directly to a language model. + Now that you have complete information about the task, follow the below instructions to create prompt. - elif model_family== ModelFamily.QWEN: - system_prompt = "You are Qwen, created by Alibaba Cloud. You are a helpful assistant." + - Look at column list and include all columns in your prompt with their definitions. the list should be exhaustive and cover all columns. + - Make sure to have all statistical analysis , cross-row and cross-column relationships in your prompt. + - The prmpt should be absolutely clear in its final goal and there should not be any ambiguity or vagueness in the prompt. + - The prompt should be clear and exhaustive in its column details. + + + A few examples are given below for your reference + Code Generation: + + {DEFAULT_CODE_GENERATION_PROMPT} + + Lending Data Generation: + {LENDING_DATA_PROMPT} + + Make sure you just give the prompt in your response which can be directly used by large language model. + No need to give any explanation but just the prompt in same format as the example given above. + Never mention how many rows or dataset size needs to be generated in the final output. + + """ + else: + + final_instruction = f"""You are a brilliant prompt engineer. + Your task: **{custom_prompt}** + + {summary_block}{example_block} + + Return a well-crafted prompt that focuses on: + - The core task objective + - Clear and exhaustive column details + - Key aspects to consider or maintain + - Special requirements for the task + + A few examples are given below for your reference + Code Generation: + + {DEFAULT_CODE_GENERATION_PROMPT} + + Text to SQL: + {DEFAULT_TEXT2SQL_PROMPT} + + Make sure you just give the prompt in your response which can be directly used by large language model. + No need to give any explanation but just the prompt in same format as the example given above. + Never mention how many rows or dataset size needs to be generated in the final output. + """ + except Exception as e: + print(f"Error constructing instruction template: {str(e)}") + # Fallback to a simpler template that still includes any successful blocks + final_instruction = f"""You are a brilliant prompt engineer. + Your task: **{custom_prompt}** + + {summary_block}{example_block} + + Return a well-crafted prompt that focuses on: + - The core task objective + - Clear and exhaustive column details + - Key aspects to consider or maintain + - Special requirements for the task + + A few examples are given below for your reference + Code Generation: + + {DEFAULT_CODE_GENERATION_PROMPT} + + Text to SQL: + {DEFAULT_TEXT2SQL_PROMPT} + + Make sure you just give the prompt in your response which can be directly used by large language model. + No need to give any explanation but just the prompt in same format as the example given above. + Never mention how many rows or dataset size needs to be generated in the final output. + """ + + # Format according to model family + try: + family = get_model_family(model_id) - final_prompt = f'''<|im_start|>system - {system_prompt}<|im_end|> + if family == ModelFamily.LLAMA: + return "<|begin_of_text|><|start_header_id|>user<|end_header_id|>\n" \ + f"{final_instruction}\n<|eot_id|><|start_header_id|>assistant<|end_header_id|>" + elif family == ModelFamily.MISTRAL: + return f"[INST]\n{final_instruction}\n[/INST]" + elif family == ModelFamily.CLAUDE: + return "\n" + final_instruction + elif family == ModelFamily.QWEN: + system = "You are Qwen, created by Alibaba Cloud. You are a helpful assistant." + return f"""<|im_start|>system + {system}<|im_end|> <|im_start|>user - + {final_instruction}<|im_end|> <|im_start|>assistant - ''' - - - else: - final_prompt = "\n" + final_instruction - return final_prompt + """ + else: + # Default format if model family is unknown + return "\n" + final_instruction + except Exception as e: + print(f"Error formatting for model family: {str(e)}") + # Return the raw instruction if formatting fails + return final_instruction + + @staticmethod def generate_result_prompt(model_id: str, @@ -715,20 +971,32 @@ def get_freeform_prompt(model_id: str, ) -> str: if example_path: - file_extension = os.path.splitext(example_path)[1].lower() - - with open(example_path, 'r') as f: - if file_extension == '.json': - # Handle JSON files - example_upload = json.load(f) - examples_str = json.dumps(example_upload, indent=2) - elif file_extension == '.csv': - # Handle CSV files - csv_reader = csv.DictReader(f) - example_upload = list(csv_reader) - examples_str = json.dumps(example_upload, indent=2) # Convert CSV data to JSON string format - else: - raise ValueError(f"Unsupported file extension: {file_extension}. Only .json and .csv are supported.") + try: + # Use DataLoader to load the file, limiting to 10 rows + df = DataLoader.load(example_path, sample_rows=10) + + # Convert DataFrame to list of dictionaries + example_upload = df.head(10).to_dict(orient='records') + + # Handle non-serializable objects + def json_serializable(obj): + if isinstance(obj, (pd.Timestamp, np.datetime64)): + return obj.isoformat() + elif isinstance(obj, np.integer): + return int(obj) + elif isinstance(obj, np.floating): + return float(obj) + elif isinstance(obj, np.ndarray): + return obj.tolist() + else: + return str(obj) + + # Convert to JSON string with custom serialization + examples_str = json.dumps(example_upload, indent=2, default=json_serializable) + + except Exception as e: + print(f"Error processing example file: {str(e)}") + examples_str = "" else: if example_custom: @@ -876,10 +1144,11 @@ def build_generate_result_prompt(model_id: str, @staticmethod def build_custom_prompt(model_id: str, - custom_prompt = Optional[str] + custom_prompt = Optional[str], + example_path= Optional[str] ) -> str: - return ModelPrompts.create_custom_prompt(model_id, custom_prompt) + return ModelPrompts.create_custom_prompt(model_id, custom_prompt, example_path) @staticmethod def build_freeform_prompt(model_id: str, diff --git a/app/main.py b/app/main.py index 165da51..216eb8d 100644 --- a/app/main.py +++ b/app/main.py @@ -1,6 +1,7 @@ import os import boto3 from datetime import datetime, timezone +from typing import Any, Dict from botocore.config import Config from fastapi import FastAPI, HTTPException, Request, status from fastapi.responses import JSONResponse @@ -9,6 +10,8 @@ from fastapi.staticfiles import StaticFiles from fastapi.responses import FileResponse from pydantic import BaseModel +import pandas as pd +import numpy as np from typing import Dict, List, Optional import subprocess import asyncio @@ -22,6 +25,7 @@ import sys import json import uuid +from fastapi.encoders import jsonable_encoder print(os.getcwd()) # Setup absolute paths ROOT_DIR = Path(__file__).parent.parent # Goes up one level from app/main.py to reach project root @@ -180,7 +184,34 @@ def restart_application(): print(f"Error restarting application: {e}") raise - +def deep_sanitize_nans(obj: Any) -> Any: + """ + Recursively traverse all data structures and replace NaN with None. + This handles all nested structures. + """ + if isinstance(obj, dict): + return {k: deep_sanitize_nans(v) for k, v in obj.items()} + elif isinstance(obj, list): + return [deep_sanitize_nans(item) for item in obj] + elif isinstance(obj, tuple): + return tuple(deep_sanitize_nans(item) for item in obj) + elif isinstance(obj, set): + return {deep_sanitize_nans(item) for item in obj} + elif isinstance(obj, float) and (math.isnan(obj) or math.isinf(obj)): + return None + elif isinstance(obj, (pd.Timestamp, np.datetime64)): + return obj.isoformat() + elif isinstance(obj, np.integer): + return int(obj) + elif isinstance(obj, np.floating): + if np.isnan(obj) or np.isinf(obj): + return None + return float(obj) + elif isinstance(obj, np.ndarray): + return deep_sanitize_nans(obj.tolist()) + elif pd.isna(obj): + return None + return obj # Add these models @@ -276,7 +307,9 @@ def get_timeout_for_request(request: Request) -> float: if path.endswith("/generate"): return 200.0 # 2 minutes for generation elif path.endswith("/freeform"): - return 200.0 # 2 minutes for generation + return 300.0 # 5 minutes for generation + elif path.endswith("/create_custom_prompt"): + return 300.0 # 5 minutes for generation elif path.endswith("/evaluate"): return 200.0 # 2 minutes for evaluation elif path.endswith("/export_results"): @@ -284,7 +317,7 @@ def get_timeout_for_request(request: Request) -> float: elif "health" in path: return 5.0 # Quick timeout for health checks elif path.endswith("/upgrade"): - return 1200 # timeout increase for upgrade + return 2000 # timeout increase for upgrade else: return 60.0 # Default timeout @@ -486,13 +519,21 @@ async def generate_freeform_data(request: SynthesisRequest): core = 2 if is_demo: - return await synthesis_service.generate_freeform(request, is_demo=is_demo, request_id=request_id ) + result = await synthesis_service.generate_freeform(request, is_demo=is_demo, request_id=request_id ) + # Apply our deep sanitization to handle all NaN values + sanitized_result = deep_sanitize_nans(result) + + # Then use jsonable_encoder for FastAPI-specific conversions + final_result = jsonable_encoder(sanitized_result) + + return final_result else: # Pass additional parameter to indicate this is a freeform request request_dict = request.model_dump() freeform = True # Convert back to SynthesisRequest object freeform_request = SynthesisRequest(**request_dict) + return synthesis_job.generate_job(freeform_request, core, mem, request_id=request_id, freeform = freeform) @app.post("/synthesis/evaluate", @@ -605,8 +646,9 @@ async def create_custom_prompt(request: CustomPromptRequest, request_id = None): prompt = PromptBuilder.build_custom_prompt( model_id=request.model_id, custom_prompt=request.custom_prompt, + example_path= request.example_path ) - #print(prompt) + print(prompt) prompt_gen = model_handler.generate_response(prompt, request_id=request_id) return {"generated_prompt":prompt_gen} diff --git a/app/models/request_models.py b/app/models/request_models.py index e2980ee..bf47e5d 100644 --- a/app/models/request_models.py +++ b/app/models/request_models.py @@ -240,6 +240,7 @@ class CustomPromptRequest(BaseModel): inference_type :Optional[str] = "aws_bedrock" caii_endpoint: Optional[str] = None + example_path: Optional[str] = None custom_p:bool =True model_config = ConfigDict(protected_namespaces=(), diff --git a/app/services/synthesis_service.py b/app/services/synthesis_service.py index 30a630a..5edf9d7 100644 --- a/app/services/synthesis_service.py +++ b/app/services/synthesis_service.py @@ -14,6 +14,9 @@ import asyncio from fastapi import FastAPI, BackgroundTasks, HTTPException from app.core.exceptions import APIError, InvalidModelError, ModelHandlerError, JSONParsingError +from app.core.data_loader import DataLoader +import pandas as pd +import numpy as np from app.models.request_models import SynthesisRequest, Example, ModelParameters from app.core.model_handlers import create_handler @@ -1017,20 +1020,32 @@ async def generate_freeform(self, request: SynthesisRequest, job_name=None, is_d # For examples if request.example_path: - file_extension = os.path.splitext(request.example_path)[1].lower() - - with open(request.example_path, 'r') as f: - if file_extension == '.json': - # Handle JSON files - example_upload = json.load(f) - examples_str = json.dumps(example_upload, indent=2) - elif file_extension == '.csv': - # Handle CSV files - csv_reader = csv.DictReader(f) - example_upload = list(csv_reader) - examples_str = json.dumps(example_upload, indent=2) # Convert CSV data to JSON string format - else: - raise ValueError(f"Unsupported file extension: {file_extension}. Only .json and .csv are supported.") + try: + # Use DataLoader to load the file, limiting to 10 rows + df = DataLoader.load(request.example_path, sample_rows=10) + + # Convert DataFrame to list of dictionaries + example_upload = df.head(10).to_dict(orient='records') + + # Handle non-serializable objects + def json_serializable(obj): + if isinstance(obj, (pd.Timestamp, np.datetime64)): + return obj.isoformat() + elif isinstance(obj, np.integer): + return int(obj) + elif isinstance(obj, np.floating): + return float(obj) + elif isinstance(obj, np.ndarray): + return obj.tolist() + else: + return str(obj) + + # Convert to JSON string with custom serialization + examples_str = json.dumps(example_upload, indent=2, default=json_serializable) + + except Exception as e: + print(f"Error processing example file: {str(e)}") + examples_str = "" else: examples_value = request.example_custom if hasattr(request, 'example_custom') else None examples_str = self.safe_json_dumps(examples_value) diff --git a/pyproject.toml b/pyproject.toml index 965dbe1..864e889 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -8,6 +8,7 @@ version = "0.1.0" description = "Synthetic Data Studio Project" requires-python = ">=3.10" dependencies = [ + # ── existing ───────────────────────────────────────────── "fastapi==0.109.2", "uvicorn==0.27.1", "pydantic==2.10.4", @@ -31,8 +32,15 @@ dependencies = [ "pytest-asyncio==0.25.3", "pytest-cov==6.0.0", "psutil==5.9.8", + "pandas>=2.2.3", + # ── new packages for data‑analysis layer ───────────────── + "numpy>=1.24.0", # explicit, for dcor/scipy (already a transitive dep of pandas) + "scipy>=1.12.0", # chi‑square, ANOVA, etc. + "dcor>=0.6", # distance‑correlation metric + "openpyxl>=3.1.2", # read .xlsx files + "pyxlsb>=1.0.9", # read .xlsb files ] [tool.hatch.build.targets.wheel] -packages = ["app"] \ No newline at end of file +packages = ["app"] diff --git a/uv.lock b/uv.lock index a50b04f..dded261 100644 --- a/uv.lock +++ b/uv.lock @@ -134,12 +134,17 @@ dependencies = [ { name = "boto3" }, { name = "botocore" }, { name = "datasets" }, + { name = "dcor" }, { name = "fastapi" }, { name = "httpx" }, { name = "huggingface-hub" }, { name = "loguru" }, { name = "nest-asyncio" }, + { name = "numpy" }, { name = "openai" }, + { name = "openpyxl" }, + { name = "pandas" }, + { name = "psutil" }, { name = "pydantic" }, { name = "pyflakes" }, { name = "pymupdf" }, @@ -148,6 +153,8 @@ dependencies = [ { name = "pytest-cov" }, { name = "python-docx" }, { name = "python-dotenv" }, + { name = "pyxlsb" }, + { name = "scipy" }, { name = "sqlalchemy" }, { name = "typing-extensions" }, { name = "uvicorn" }, @@ -160,12 +167,17 @@ requires-dist = [ { name = "boto3", specifier = "==1.35.48" }, { name = "botocore", specifier = "==1.35.48" }, { name = "datasets", specifier = "==2.20.0" }, + { name = "dcor", specifier = ">=0.6" }, { name = "fastapi", specifier = "==0.109.2" }, { name = "httpx", specifier = "==0.27.2" }, { name = "huggingface-hub", specifier = 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app/core/data_analyser.py create mode 100644 app/core/data_loader.py create mode 100644 app/core/summary_formatter.py diff --git a/app/core/data_analyser.py b/app/core/data_analyser.py new file mode 100644 index 0000000..977de10 --- /dev/null +++ b/app/core/data_analyser.py @@ -0,0 +1,357 @@ +import pandas as pd +import numpy as np +import warnings +from typing import Dict, List, Any, Union, Optional, Tuple +import math + +class DataAnalyser: + """Utility class for analyzing datasets and providing statistical insights.""" + + @classmethod + def analyse(cls, df: pd.DataFrame, correlation_threshold: float = 0.7) -> Dict[str, Any]: + """ + Analyze a DataFrame and extract useful statistics and insights. + + Args: + df: Input DataFrame to analyze + correlation_threshold: Threshold for identifying strong correlations + + Returns: + Dictionary containing analysis results + """ + print("Analyzing data...") + + # Initialize results structure + results = {"columns": [], + "grp_columns": {}, + "statistical_analysis": {}, + "cross_row_relationship": {}, + "cross_column_relationship": {} + } + + # Categorize columns + results["grp_columns"] = cls.categorize_columns(df) + results["columns"]= df.columns.tolist() + + # Analyze each type of column + stats = {} + if results["grp_columns"]["numeric"]: + stats["numeric"] = cls.analyze_numeric_columns(df, results["grp_columns"]["numeric"]) + + if results["grp_columns"]["categorical"]: + stats["categorical"] = cls.analyze_categorical_columns(df, results["grp_columns"]["categorical"]) + + if results["grp_columns"]["datetime"]: + stats["datetime"] = cls.analyze_datetime_columns(df, results["grp_columns"]["datetime"]) + + results["statistical_analysis"] = stats + + # Analyze cross-row relationships + results["cross_row_relationship"] = cls.analyze_cross_row_relationships(df) + + # Analyze cross-column relationships + if results["grp_columns"]["numeric"] and len(results["grp_columns"]["numeric"]) > 1: + results["cross_column_relationship"] = cls.analyze_cross_column_relationships( + df, results["grp_columns"]["numeric"], correlation_threshold + ) + + return results + + @classmethod + def categorize_columns(cls, df: pd.DataFrame) -> Dict[str, List[str]]: + """ + Categorize DataFrame columns by their data types. + + Args: + df: Input DataFrame + + Returns: + Dictionary mapping column types to lists of column names + """ + result = { + "numeric": [], + "categorical": [], + "datetime": [], + "text": [], + "other": [] + } + + for col in df.columns: + column = df[col] + + # Check if already datetime type - most reliable method + if pd.api.types.is_datetime64_any_dtype(column): + result["datetime"].append(col) + + # Check numeric types + elif pd.api.types.is_numeric_dtype(column) and not pd.api.types.is_bool_dtype(column): + result["numeric"].append(col) + + # Check categorical and boolean + elif pd.api.types.is_categorical_dtype(column) or pd.api.types.is_bool_dtype(column): + result["categorical"].append(col) + + # Check for text columns + elif pd.api.types.is_string_dtype(column) or pd.api.types.is_object_dtype(column): + # Check if more than 50% of non-null values are likely categorical (few unique values) + non_null_count = column.count() + if non_null_count > 0: + unique_ratio = column.nunique() / non_null_count + if unique_ratio < 0.2: # If less than 20% of values are unique, consider categorical + result["categorical"].append(col) + else: + result["text"].append(col) + else: + result["text"].append(col) + + # Everything else + else: + result["other"].append(col) + + # Verify all columns are categorized + categorized = [] + for category, cols in result.items(): + categorized.extend(cols) + + missing = set(df.columns) - set(categorized) + if missing: + print(f"Found uncategorized columns: {missing}") + result["other"].extend(list(missing)) + + return result + + @classmethod + def analyze_numeric_columns(cls, df: pd.DataFrame, numeric_columns: List[str]) -> Dict[str, Dict[str, Any]]: + """ + Analyze numeric columns to extract statistical information. + + Args: + df: Input DataFrame + numeric_columns: List of numeric column names + + Returns: + Dictionary mapping column names to their statistics + """ + result = {} + + for col in numeric_columns: + # Skip columns with all NaN values + if df[col].isna().all(): + continue + + stats = {} + + # Basic statistics + stats["count"] = int(df[col].count()) + stats["mean"] = float(df[col].mean()) + stats["median"] = float(df[col].median()) + stats["std"] = float(df[col].std()) + stats["min"] = float(df[col].min()) + stats["max"] = float(df[col].max()) + + # Calculate percentiles + for p in [25, 75, 90, 95, 99]: + stats[f"p{p}"] = float(df[col].quantile(p/100)) + + # Null value statistics + null_count = int(df[col].isna().sum()) + stats["null_count"] = null_count + stats["null_percentage"] = float((null_count / len(df)) * 100) + + result[col] = stats + + return result + + @classmethod + def analyze_categorical_columns(cls, df: pd.DataFrame, categorical_columns: List[str]) -> Dict[str, Dict[str, Any]]: + """ + Analyze categorical columns to extract distribution information. + + Args: + df: Input DataFrame + categorical_columns: List of categorical column names + + Returns: + Dictionary mapping column names to their statistics + """ + result = {} + + for col in categorical_columns: + # Skip columns with all NaN values + if df[col].isna().all(): + continue + + stats = {} + + # Basic statistics + stats["count"] = int(df[col].count()) + stats["unique_count"] = int(df[col].nunique()) + + # Value distribution (top 10 most common values) + value_counts = df[col].value_counts().head(10).to_dict() + # Convert any non-string keys to strings for JSON compatibility + top_values = {} + for k, v in value_counts.items(): + key = str(k) if not isinstance(k, str) else k + top_values[key] = int(v) + + stats["top_values"] = top_values + + # Calculate entropy to measure randomness + counts = df[col].value_counts() + probs = counts / counts.sum() + entropy = -np.sum(probs * np.log2(probs)) + stats["entropy"] = float(entropy) + + # Null value statistics + null_count = int(df[col].isna().sum()) + stats["null_count"] = null_count + stats["null_percentage"] = float((null_count / len(df)) * 100) + + result[col] = stats + + return result + + @classmethod + def analyze_datetime_columns(cls, df: pd.DataFrame, datetime_columns: List[str]) -> Dict[str, Dict[str, Any]]: + """ + Analyze datetime columns to extract temporal patterns. + + Args: + df: Input DataFrame + datetime_columns: List of datetime column names + + Returns: + Dictionary mapping column names to their statistics + """ + result = {} + + for col in datetime_columns: + # Skip columns with all NaN values + if df[col].isna().all(): + continue + + stats = {} + + # Basic statistics + stats["count"] = int(df[col].count()) + stats["min"] = str(df[col].min()) + stats["max"] = str(df[col].max()) + + # Calculate temporal span + min_date = df[col].min() + max_date = df[col].max() + if pd.notna(min_date) and pd.notna(max_date): + span_days = (max_date - min_date).total_seconds() / (60 * 60 * 24) + stats["span_days"] = float(span_days) + + # Extract date parts distribution + date_parts = {} + + # Year distribution + if df[col].dt.year.nunique() > 1: + year_counts = df[col].dt.year.value_counts().to_dict() + date_parts["year"] = {str(k): int(v) for k, v in year_counts.items()} + + # Month distribution + month_counts = df[col].dt.month.value_counts().to_dict() + date_parts["month"] = {str(k): int(v) for k, v in month_counts.items()} + + # Day of week distribution + dow_counts = df[col].dt.dayofweek.value_counts().to_dict() + date_parts["day_of_week"] = {str(k): int(v) for k, v in dow_counts.items()} + + # Hour distribution (if time component exists) + if (df[col].dt.hour != 0).any(): + hour_counts = df[col].dt.hour.value_counts().to_dict() + date_parts["hour"] = {str(k): int(v) for k, v in hour_counts.items()} + + stats["date_parts"] = date_parts + + # Null value statistics + null_count = int(df[col].isna().sum()) + stats["null_count"] = null_count + stats["null_percentage"] = float((null_count / len(df)) * 100) + + result[col] = stats + + return result + + @classmethod + def analyze_cross_row_relationships(cls, df: pd.DataFrame) -> Dict[str, Any]: + """ + Analyze relationships across rows, such as duplicates and null patterns. + + Args: + df: Input DataFrame + + Returns: + Dictionary containing cross-row relationship information + """ + result = {} + + # Analyze duplicates + duplicates = df.duplicated() + duplicate_count = int(duplicates.sum()) + duplicate_percentage = float((duplicate_count / len(df)) * 100) + + result["duplicates"] = { + "count": duplicate_count, + "percentage": duplicate_percentage + } + + # Analyze rows with null values + rows_with_null = df.isna().any(axis=1) + null_rows_count = int(rows_with_null.sum()) + null_rows_percentage = float((null_rows_count / len(df)) * 100) + + result["null_rows"] = { + "count": null_rows_count, + "percentage": null_rows_percentage + } + + return result + + @classmethod + def analyze_cross_column_relationships( + cls, df: pd.DataFrame, numeric_columns: List[str], correlation_threshold: float + ) -> Dict[str, Any]: + """ + Analyze relationships between columns, such as correlations. + + Args: + df: Input DataFrame + numeric_columns: List of numeric column names + correlation_threshold: Threshold for identifying strong correlations + + Returns: + Dictionary containing cross-column relationship information + """ + result = {} + + # Calculate correlations between numeric columns + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + corr_matrix = df[numeric_columns].corr() + + # Extract strong correlations (ignore self-correlations) + strong_correlations = {} + for i in range(len(numeric_columns)): + for j in range(i+1, len(numeric_columns)): + col1 = numeric_columns[i] + col2 = numeric_columns[j] + corr_value = corr_matrix.iloc[i, j] + + # Skip NaN correlations + if pd.isna(corr_value): + continue + + # Store absolute correlation values above threshold + if abs(corr_value) >= correlation_threshold: + pair_name = f"{col1} - {col2}" + strong_correlations[pair_name] = float(corr_value) + + if strong_correlations: + result["correlations"] = strong_correlations + + return result \ No newline at end of file diff --git a/app/core/data_loader.py b/app/core/data_loader.py new file mode 100644 index 0000000..6a7fbc4 --- /dev/null +++ b/app/core/data_loader.py @@ -0,0 +1,160 @@ +import pandas as pd +import numpy as np +import json +import os +import warnings +from pathlib import Path +from typing import Optional, Union + +class DataLoader: + """Load arbitrary tabular data into a DataFrame with robust error handling.""" + + @staticmethod + def load(path: str, sample_rows: int = 100000) -> pd.DataFrame: + """ + Load data from various file formats into a pandas DataFrame. + + Args: + path: Path to the data file + sample_rows: Maximum number of rows to load for large files + + Returns: + pandas DataFrame with the loaded data + """ + # Validate the path exists + if not os.path.exists(path): + raise FileNotFoundError(f"File not found: {path}") + + # Get file extension + ext = Path(path).suffix.lower() + + try: + if ext == ".csv": + # Try different encoding and delimiter options + try: + df = pd.read_csv(path, encoding='utf-8') + except: + try: + df = pd.read_csv(path, encoding='latin1') + except: + try: + # Try with different delimiters + df = pd.read_csv(path, sep=None, engine='python') + except: + # Last resort - try reading with very permissive settings + df = pd.read_csv(path, sep=None, engine='python', + encoding='latin1', on_bad_lines='skip') + elif ext == ".tsv": + df = pd.read_csv(path, sep='\t') + elif ext == ".json": + # Try multiple JSON formats + try: + # Try JSONL format first + df = pd.read_json(path, lines=True) + except ValueError: + try: + # Then try normal JSON + df = pd.read_json(path) + except: + # Try loading as raw JSON and converting + with open(path, 'r', encoding='utf-8') as f: + data = json.load(f) + if isinstance(data, list): + df = pd.DataFrame(data) + elif isinstance(data, dict): + # If it's a dict, try to extract a list or convert the dict itself + for k, v in data.items(): + if isinstance(v, list) and len(v) > 0: + df = pd.DataFrame(v) + break + else: + df = pd.DataFrame([data]) + else: + raise ValueError(f"Unsupported JSON structure in {path}") + elif ext in (".xls", ".xlsx"): + try: + # Try with openpyxl first + df = pd.read_excel(path, engine="openpyxl") + except: + # Fall back to xlrd for older Excel files + df = pd.read_excel(path) + elif ext == ".xlsb": + df = pd.read_excel(path, engine="pyxlsb") + elif ext == ".parquet": + df = pd.read_parquet(path) + elif ext == ".feather": + df = pd.read_feather(path) + elif ext == ".pickle" or ext == ".pkl": + df = pd.read_pickle(path) + elif ext == ".sas7bdat": + df = pd.read_sas(path) + elif ext == ".dta": + df = pd.read_stata(path) + elif ext == ".h5" or ext == ".hdf5": + df = pd.read_hdf(path) + else: + raise ValueError(f"Unsupported file extension: {ext}") + + # Clean up the DataFrame + # Replace infinite values with NaN + df = df.replace([np.inf, -np.inf], np.nan) + + # Handle duplicate column names + if df.columns.duplicated().any(): + df.columns = [f"{col}_{i}" if i > 0 else col + for i, col in enumerate(df.columns)] + + # Keep memory/latency bounded + if len(df) > sample_rows: + df = df.sample(sample_rows, random_state=42) + + # Process column types + df = DataLoader.infer_dtypes(df) + + return df.reset_index(drop=True) + + except Exception as e: + print(f"Error loading data from {path}: {str(e)}") + # Return an empty DataFrame with a message column + return pd.DataFrame({"error_message": [f"Failed to load data: {str(e)}"]}) + + @staticmethod + def parse_datetime(series): + """ + Parse datetime with appropriate format while suppressing warnings. + """ + # Skip if already datetime + if pd.api.types.is_datetime64_any_dtype(series): + return series + + # Suppress warnings and use dateutil parser + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + return pd.to_datetime(series, errors='coerce') + + @staticmethod + def infer_dtypes(df: pd.DataFrame) -> pd.DataFrame: + """Attempt to infer correct data types for all columns.""" + for col in df.columns: + # Skip columns that are already numeric or datetime + if pd.api.types.is_numeric_dtype(df[col]) or pd.api.types.is_datetime64_any_dtype(df[col]): + continue + + # Try to convert to numeric + numeric_series = pd.to_numeric(df[col], errors='coerce') + if numeric_series.notna().sum() > 0.8 * df[col].count(): # Over 80% valid numbers + df[col] = numeric_series + continue + + # Try to convert to datetime - with warnings suppressed + try: + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + datetime_series = pd.to_datetime(df[col], errors='coerce') + if datetime_series.notna().sum() > 0.8 * df[col].count(): # Over 80% valid dates + df[col] = datetime_series + continue + except: + pass + + return df \ No newline at end of file diff --git a/app/core/summary_formatter.py b/app/core/summary_formatter.py new file mode 100644 index 0000000..aea0406 --- /dev/null +++ b/app/core/summary_formatter.py @@ -0,0 +1,51 @@ +import json +import pandas as pd +import numpy as np +from typing import Dict, Any, Optional + +class SummaryFormatter: + """Build XML‑ish blocks for prompt ingestion with error handling.""" + + @staticmethod + def first_rows_block(df: pd.DataFrame, n: int = 10) -> str: + """Generate a CSV snippet of the first n rows.""" + try: + # Handle potential issues with object serialization + # Replace problematic values with their string representation + safe_df = df.head(n).copy() + + for col in safe_df.columns: + # Replace problematic values in object columns + if safe_df[col].dtype == 'object': + safe_df[col] = safe_df[col].apply(lambda x: + str(x) if x is not None else None) + + # Use CSV repr so models instantly see delimiters + return safe_df.to_csv(index=False) + except Exception as e: + return f"Error generating CSV snippet: {str(e)}\n" + + @staticmethod + def json_block(summary: Dict[str, Any]) -> str: + """Convert summary dict to a JSON string, handling problematic values.""" + try: + # Handle non-serializable objects + def clean_for_json(obj): + if isinstance(obj, dict): + return {k: clean_for_json(v) for k, v in obj.items()} + elif isinstance(obj, list): + return [clean_for_json(item) for item in obj] + elif isinstance(obj, (int, float, str, bool, type(None))): + return obj + elif isinstance(obj, np.number): + return float(obj) + else: + return str(obj) + + # Clean the summary dict + clean_summary = clean_for_json(summary) + + # Convert to JSON + return json.dumps(clean_summary, separators=(",", ":"), ensure_ascii=False) + except Exception as e: + return f"Error generating JSON summary: {str(e)}" \ No newline at end of file From 8eba3eca564e800fadc4db47d40132c5d31cbb9d Mon Sep 17 00:00:00 2001 From: Khauneesh-AI Date: Wed, 7 May 2025 18:19:57 +0530 Subject: [PATCH 03/17] pagination for list view for generation , evaluation and export --- app/client/src/api/Datasets/response.ts | 15 +- app/client/src/api/Evaluations/response.ts | 19 +- app/client/src/api/Export/export.ts | 18 +- app/client/src/api/Export/response.ts | 5 +- app/client/src/api/common/pagination.ts | 11 + app/client/src/pages/Home/DatasetsTab.tsx | 12 +- app/client/src/pages/Home/EvaluationsTab.tsx | 19 +- app/client/src/pages/Home/ExportsTab.tsx | 35 +- app/client/src/pages/Home/hooks.ts | 241 ++++-- app/core/database.py | 146 +++- app/main.py | 119 ++- pyproject.toml | 2 +- uv.lock | 848 +------------------ 13 files changed, 495 insertions(+), 995 deletions(-) create mode 100644 app/client/src/api/common/pagination.ts diff --git a/app/client/src/api/Datasets/response.ts b/app/client/src/api/Datasets/response.ts index 0b8ed2e..f373834 100644 --- a/app/client/src/api/Datasets/response.ts +++ b/app/client/src/api/Datasets/response.ts @@ -1,3 +1,5 @@ +import { PaginatedResponse } from '../common/pagination'; + export type DatasetResponse = { id: number; timestamp: string; @@ -37,14 +39,17 @@ export type Example = { export type DeleteDatasetResponse = { message: string; - }; +}; - export type ExportDatasetResponse = { +export type ExportDatasetResponse = { message: Partial; - }; +}; - export type ExportMessageSuccessResponse = { +export type ExportMessageSuccessResponse = { job_name: string; job_id: string; hf_link: string; - }; \ No newline at end of file +}; + +// Add paginated response types +export type PaginatedDatasetsResponse = PaginatedResponse; \ No newline at end of file diff --git a/app/client/src/api/Evaluations/response.ts b/app/client/src/api/Evaluations/response.ts index c399f75..6ef2e85 100644 --- a/app/client/src/api/Evaluations/response.ts +++ b/app/client/src/api/Evaluations/response.ts @@ -1,3 +1,5 @@ +import { PaginatedResponse } from '../common/pagination'; + export type EvaluationResponse = { id: string; timestamp: Date; @@ -16,21 +18,24 @@ export type EvaluationResponse = { job_id: string; job_name: string; job_status: string; - }; +}; - export type DeleteEvaluationResponse = { +export type DeleteEvaluationResponse = { message: string; - }; +}; - export type ModelParameters = { +export type ModelParameters = { temperature: number; top_p: number; min_p: number; top_k: number; max_tokens: number; - } +}; - export type Example = { +export type Example = { score: number; justification: string; - } \ No newline at end of file +}; + +// Add paginated response types +export type PaginatedEvaluationsResponse = PaginatedResponse; \ No newline at end of file diff --git a/app/client/src/api/Export/export.ts b/app/client/src/api/Export/export.ts index 13afc45..e0e8fdf 100644 --- a/app/client/src/api/Export/export.ts +++ b/app/client/src/api/Export/export.ts @@ -1,5 +1,5 @@ import { useQuery } from "@tanstack/react-query"; -import { ExportResponse } from "./response"; +import { ExportResponse, PaginatedExportsResponse } from "./response"; const BASE_API_URL = import.meta.env.VITE_AMP_URL; const REFETCHINTERVAL_IN_MS = 10000; @@ -8,11 +8,11 @@ export const API_ENDPOINTS = { getExports: `${BASE_API_URL}/exports/history`, }; -async function getExportJobs(): Promise { +async function getExportJobs(page = 1, pageSize = 10): Promise { let response; try { - response = await fetch(API_ENDPOINTS.getExports); + response = await fetch(`${API_ENDPOINTS.getExports}?page=${page}&page_size=${pageSize}`); if (!response.ok) { return Promise.reject(response.statusText); @@ -21,13 +21,17 @@ async function getExportJobs(): Promise { return Promise.reject(error); } - const exportResponse: ExportResponse[] = await response.json(); + const exportResponse = await response.json(); return exportResponse; }; - -const useGetExportJobs = () => { - return useQuery({ queryKey: [`${API_ENDPOINTS.getExports}`], refetchIntervalInBackground: true, refetchInterval: REFETCHINTERVAL_IN_MS, queryFn: getExportJobs }) +const useGetExportJobs = (page = 1, pageSize = 10) => { + return useQuery({ + queryKey: [`${API_ENDPOINTS.getExports}`, page, pageSize], + queryFn: () => getExportJobs(page, pageSize), + refetchIntervalInBackground: true, + refetchInterval: REFETCHINTERVAL_IN_MS + }); }; export { useGetExportJobs }; \ No newline at end of file diff --git a/app/client/src/api/Export/response.ts b/app/client/src/api/Export/response.ts index 3938ef6..856c9f3 100644 --- a/app/client/src/api/Export/response.ts +++ b/app/client/src/api/Export/response.ts @@ -10,4 +10,7 @@ export interface ExportResponse { job_status: JobStatus; local_export_path: string; timestamp: string; -} \ No newline at end of file +}; + +// Add paginated response types +export type PaginatedExportsResponse = PaginatedResponse; \ No newline at end of file diff --git a/app/client/src/api/common/pagination.ts b/app/client/src/api/common/pagination.ts new file mode 100644 index 0000000..215bad9 --- /dev/null +++ b/app/client/src/api/common/pagination.ts @@ -0,0 +1,11 @@ +export interface PaginationMetadata { + total: number; + page: number; + page_size: number; + total_pages: number; + } + + export interface PaginatedResponse { + data: T[]; + pagination: PaginationMetadata; + } \ No newline at end of file diff --git a/app/client/src/pages/Home/DatasetsTab.tsx b/app/client/src/pages/Home/DatasetsTab.tsx index 84b54ea..752687f 100644 --- a/app/client/src/pages/Home/DatasetsTab.tsx +++ b/app/client/src/pages/Home/DatasetsTab.tsx @@ -55,13 +55,12 @@ const StyledParagraph = styled(Paragraph)` `; const DatasetsTab: React.FC = () => { - const { data, isLoading, isError, refetch, setSearchQuery } = useDatasets(); + const { data, isLoading, isError, refetch, setSearchQuery, pagination } = useDatasets(); const [notificationInstance, notificationContextHolder] = notification.useNotification(); const [exportResult, setExportResult] = React.useState(); const [toggleDatasetExportModal, setToggleDatasetExportModal] = React.useState(false); const [datasetDetails, setDatasetDetails] = React.useState({} as Dataset); - useEffect(() => { if (isError) { notification.error({ @@ -91,7 +90,7 @@ const DatasetsTab: React.FC = () => { } const onChange = (event: SyntheticEvent) => { - const value = event.target?.value; + const value = (event.target as HTMLInputElement)?.value; throttle((value: string) => setSearchQuery(value), 500)(value); } @@ -176,12 +175,9 @@ const DatasetsTab: React.FC = () => { `${row?.display_name}_${row?.generate_file_name}`} tableLayout="fixed" - pagination={{ - showSizeChanger: true, - showQuickJumper: true - }} + pagination={pagination} columns={columns} - dataSource={data?.datasets || [] as Dataset[]} + dataSource={data?.data || [] as Dataset[]} onRow={(row: Dataset) => ({ onClick: () => { diff --git a/app/client/src/pages/Home/EvaluationsTab.tsx b/app/client/src/pages/Home/EvaluationsTab.tsx index 62e8510..ce14b22 100644 --- a/app/client/src/pages/Home/EvaluationsTab.tsx +++ b/app/client/src/pages/Home/EvaluationsTab.tsx @@ -54,13 +54,13 @@ const StyledParagraph = styled(Paragraph)` const EvaluationsTab: React.FC = () => { - const {data, isLoading, isError, refetch, setSearchQuery } = useEvaluations(); + const { data, isLoading, isError, refetch, setSearchQuery, pagination } = useEvaluations(); useEffect(() => { if (isError) { notification.error({ message: 'Error', - description: 'An error occurred while fetching datasets' + description: 'An error occurred while fetching evaluations' }); } }, [isError]); @@ -70,7 +70,7 @@ const EvaluationsTab: React.FC = () => { } const onChange = (event: SyntheticEvent) => { - const value = event.target?.value; + const value = (event.target as HTMLInputElement)?.value; throttle((value: string) => setSearchQuery(value), 500)(value); } @@ -136,19 +136,14 @@ const EvaluationsTab: React.FC = () => { {isLoading && } `${row?.display_name}_${row?.evaluate_file_name - }`} + rowKey={(row: Evaluation) => `${row?.display_name}_${row?.evaluate_file_name}`} tableLayout="fixed" - pagination={{ - showSizeChanger: true, - showQuickJumper: true - }} + pagination={pagination} columns={columns} - dataSource={data?.evaluations || [] as Evaluation[]} + dataSource={data?.data || [] as Evaluation[]} /> ) } -export default EvaluationsTab; - +export default EvaluationsTab; \ No newline at end of file diff --git a/app/client/src/pages/Home/ExportsTab.tsx b/app/client/src/pages/Home/ExportsTab.tsx index 21e56a5..a81f870 100644 --- a/app/client/src/pages/Home/ExportsTab.tsx +++ b/app/client/src/pages/Home/ExportsTab.tsx @@ -1,5 +1,5 @@ import { Col, Flex, Input, Row, Table, TableProps, Tooltip, Typography } from 'antd'; -import React, { useEffect } from 'react'; +import React, { useEffect, useState } from 'react'; import DateTime from '../../components/DateTime/DateTime'; import { useGetExportJobs } from '../../api/Export/export'; import { ExportResponse } from '../../api/Export/response'; @@ -7,6 +7,8 @@ import { sortItemsByKey } from '../../utils/sortutils'; import styled from 'styled-components'; import { JobStatus } from '../../types'; import JobStatusIcon from '../../components/JobStatus/jobStatusIcon'; +import isEmpty from 'lodash/isEmpty'; +import throttle from 'lodash/throttle'; const { Search } = Input; const { Text, Link, Paragraph } = Typography; @@ -41,7 +43,6 @@ const StyledTable = styled(Table)` } `; - const StyledParagraph = styled(Paragraph)` font-size: 13px; font-family: Roboto, -apple-system, 'Segoe UI', sans-serif; @@ -108,17 +109,24 @@ const columns: TableProps['columns'] = [ ]; const ExportsTab: React.FC = ({ refetchOnRender }) => { - const { isLoading, data, refetch } = useGetExportJobs(); - const [searchTerm, setSearchTerm] = React.useState(''); + const [pagination, setPagination] = useState({ page: 1, pageSize: 20 }); + const { isLoading, data, refetch } = useGetExportJobs(pagination.page, pagination.pageSize); + const [searchTerm, setSearchTerm] = useState(''); + + const handlePageChange = (page: number, pageSize?: number) => { + setPagination({ + page, + pageSize: pageSize || pagination.pageSize + }); + }; const filteredData = React.useMemo(() => { - if (!data) return []; - return searchTerm - ? data.filter((job: ExportResponse) => + if (!data?.data) return []; + return !isEmpty(searchTerm) + ? data.data.filter((job: ExportResponse) => job.display_name?.toLowerCase().includes(searchTerm.toLowerCase()) ) - : - data; + : data.data; }, [data, searchTerm]); useEffect(() => { @@ -133,7 +141,10 @@ const ExportsTab: React.FC = ({ refetchOnRender }) => { setSearchTerm(event.target.value)} + onChange={(event) => { + const value = event.target.value; + throttle((value: string) => setSearchTerm(value), 500)(value); + }} style={{ width: 350 }} /> @@ -142,6 +153,10 @@ const ExportsTab: React.FC = ({ refetchOnRender }) => { columns={columns} tableLayout="fixed" pagination={{ + current: pagination.page, + pageSize: pagination.pageSize, + total: data?.pagination?.total || 0, + onChange: handlePageChange, showSizeChanger: true, showQuickJumper: true }} diff --git a/app/client/src/pages/Home/hooks.ts b/app/client/src/pages/Home/hooks.ts index b588282..db0bc07 100644 --- a/app/client/src/pages/Home/hooks.ts +++ b/app/client/src/pages/Home/hooks.ts @@ -2,98 +2,191 @@ import { notification } from 'antd'; import isEmpty from 'lodash/isEmpty'; import { useState } from 'react'; import { useMutation, useQuery } from '@tanstack/react-query'; - +import { DatasetResponse } from '../api/Datasets/response'; +import { EvaluationResponse } from '../api/Evaluations/response'; +import { ExportResponse } from '../api/Export/response'; +import { PaginatedResponse } from '../api/common/pagination'; const BASE_API_URL = import.meta.env.VITE_AMP_URL; -const fetchDatasets = async () => { - const dataset_resp = await fetch(`${BASE_API_URL}/generations/history`, { +// Updated to use pagination +const fetchDatasets = async (page = 1, pageSize = 10) => { + const dataset_resp = await fetch(`${BASE_API_URL}/generations/history?page=${page}&page_size=${pageSize}`, { + method: 'GET', + }); + return await dataset_resp.json(); +}; + +// Updated to use pagination +const fetchEvaluations = async (page = 1, pageSize = 10) => { + const evaluations_resp = await fetch(`${BASE_API_URL}/evaluations/history?page=${page}&page_size=${pageSize}`, { + method: 'GET', + }); + return await evaluations_resp.json(); +}; + +// Updated to use pagination +const fetchExports = async (page = 1, pageSize = 10) => { + const exports_resp = await fetch(`${BASE_API_URL}/exports/history?page=${page}&page_size=${pageSize}`, { method: 'GET', }); - const datasets = await dataset_resp.json(); + return await exports_resp.json(); +}; + +export const useDatasets = () => { + const [searchQuery, setSearchQuery] = useState(null); + const [pagination, setPagination] = useState({ page: 1, pageSize: 10 }); + + const { data, isLoading, isError, refetch } = useQuery>( + { + queryKey: ["fetchDatasets", pagination.page, pagination.pageSize], + queryFn: () => fetchDatasets(pagination.page, pagination.pageSize), + refetchInterval: 15000 + } + ); + + const handlePageChange = (page: number, pageSize?: number) => { + setPagination({ + page, + pageSize: pageSize || pagination.pageSize + }); + }; + + let filteredData = data; + + if (searchQuery !== null && !isEmpty(searchQuery) && data?.data) { + // If searching, we filter locally from the current page + const filtered = data.data.filter((dataset: DatasetResponse) => { + return dataset.display_name?.toLowerCase().includes(searchQuery.toLowerCase()); + }); + + filteredData = { + ...data, + data: filtered, + }; + } return { - datasets + data: filteredData, + isLoading, + isError, + refetch, + searchQuery, + setSearchQuery, + pagination: { + current: pagination.page, + pageSize: pagination.pageSize, + total: data?.pagination?.total || 0, + onChange: handlePageChange, + showSizeChanger: true, + showQuickJumper: true + } }; }; -const fetchEvaluations = async () => { - const evaluations_resp = await fetch(`${BASE_API_URL}/evaluations/history`, { - method: 'GET', +export const useEvaluations = () => { + const [searchQuery, setSearchQuery] = useState(null); + const [pagination, setPagination] = useState({ page: 1, pageSize: 10 }); + + const { data, isLoading, isError, refetch } = useQuery>( + { + queryKey: ["fetchEvaluations", pagination.page, pagination.pageSize], + queryFn: () => fetchEvaluations(pagination.page, pagination.pageSize), + refetchInterval: 15000 + } + ); + + const handlePageChange = (page: number, pageSize?: number) => { + setPagination({ + page, + pageSize: pageSize || pagination.pageSize + }); + }; + + let filteredData = data; + + if (searchQuery !== null && !isEmpty(searchQuery) && data?.data) { + // If searching, we filter locally from the current page + const filtered = data.data.filter((evaluation: EvaluationResponse) => { + return evaluation.display_name?.toLowerCase().includes(searchQuery.toLowerCase()); }); - const evaluations = await evaluations_resp.json(); - return { - evaluations + filteredData = { + ...data, + data: filtered, }; + } + + return { + data: filteredData, + isLoading, + isError, + refetch, + searchQuery, + setSearchQuery, + pagination: { + current: pagination.page, + pageSize: pagination.pageSize, + total: data?.pagination?.total || 0, + onChange: handlePageChange, + showSizeChanger: true, + showQuickJumper: true + } + }; }; -export const useDatasets = () => { - const [searchQuery, setSearchQuery] = useState(null); - const { data, isLoading, isError, refetch } = useQuery( - { - queryKey: ["fetchDatasets", fetchDatasets], - queryFn: () => fetchDatasets(), - refetchInterval: 15000 - } - ); - if (searchQuery !== null && !isEmpty(searchQuery)) { - const filteredData = data?.datasets.filter((dataset: any) => { - return dataset.display_name.toLowerCase().includes(searchQuery.toLowerCase()); - }); - - return { - data: { datasets: filteredData }, - isLoading, - isError, - refetch, - searchQuery, - setSearchQuery - }; +export const useExports = () => { + const [searchQuery, setSearchQuery] = useState(null); + const [pagination, setPagination] = useState({ page: 1, pageSize: 10 }); + + const { data, isLoading, isError, refetch } = useQuery>( + { + queryKey: ["fetchExports", pagination.page, pagination.pageSize], + queryFn: () => fetchExports(pagination.page, pagination.pageSize), + refetchInterval: 15000 } - return { - data, - isLoading, - isError, - refetch, - searchQuery, - setSearchQuery + ); + + const handlePageChange = (page: number, pageSize?: number) => { + setPagination({ + page, + pageSize: pageSize || pagination.pageSize + }); + }; + + let filteredData = data; + + if (searchQuery !== null && !isEmpty(searchQuery) && data?.data) { + // If searching, we filter locally from the current page + const filtered = data.data.filter((exportItem: ExportResponse) => { + return exportItem.display_name?.toLowerCase().includes(searchQuery.toLowerCase()); + }); + + filteredData = { + ...data, + data: filtered, }; -} - -export const useEvaluations = () => { - const [searchQuery, setSearchQuery] = useState(null); - const { data, isLoading, isError, refetch } = useQuery( - { - queryKey: ["fetchEvaluations", fetchEvaluations], - queryFn: () => fetchEvaluations(), - refetchInterval: 15000 - } - ); - if (searchQuery !== null && !isEmpty(searchQuery)) { - const filteredData = data?.evaluations.filter((evaluation: any) => { - return evaluation.display_name.toLowerCase().includes(searchQuery.toLowerCase()); - }); - - return { - data: { evaluations: filteredData }, - isLoading, - isError, - refetch, - searchQuery, - setSearchQuery - }; + } + + return { + data: filteredData, + isLoading, + isError, + refetch, + searchQuery, + setSearchQuery, + pagination: { + current: pagination.page, + pageSize: pagination.pageSize, + total: data?.pagination?.total || 0, + onChange: handlePageChange, + showSizeChanger: true, + showQuickJumper: true } - return { - data, - isLoading, - isError, - refetch, - searchQuery, - setSearchQuery - }; -} + }; +}; +// Rest of your hooks remain unchanged const fetchUpgradeStatus = async () => { const upgrade_resp = await fetch(`${BASE_API_URL}/synthesis-studio/check-upgrade`, { method: 'GET', @@ -146,4 +239,4 @@ export const useUpgradeSynthesisStudio = () => { isError: mutation.isError, data: mutation.data }; -} +} \ No newline at end of file diff --git a/app/core/database.py b/app/core/database.py index 64433a8..f5c7682 100644 --- a/app/core/database.py +++ b/app/core/database.py @@ -1,5 +1,5 @@ import sqlite3 -from typing import Dict, List, Optional +from typing import Dict, List, Optional, Tuple import json from datetime import datetime import os @@ -785,6 +785,150 @@ def update_job_evaluate(self, job_name: str, evaluate_file_name: str, local_expo raise raise Exception(f"Failed to update evaluation job after {max_retries} attempts") + + def get_all_generate_metadata(self) -> List[Dict]: + """Retrieve all metadata entries""" + try: + with self.get_connection() as conn: + conn.execute("BEGIN") + conn.row_factory = sqlite3.Row + cursor = conn.cursor() + + query = "SELECT * FROM generation_metadata ORDER BY timestamp DESC" + cursor.execute(query) + + results = [] + json_fields = ['model_parameters', 'topics', 'examples', 'doc_paths', 'input_path', 'schema'] + + for row in cursor.fetchall(): + result = dict(row) + for field in json_fields: + if field in result and result[field] is not None: + try: + result[field] = json.loads(result[field]) + except json.JSONDecodeError: + print(f"Error decoding JSON for field {field}") + result[field] = None + results.append(result) + + conn.rollback() + return results + + except Exception as e: + print(f"Error retrieving all metadata: {str(e)}") + return [] + + def get_paginated_generate_metadata(self, page: int, page_size: int) -> Tuple[int, List[Dict]]: + """Retrieve paginated metadata entries for generations""" + try: + with self.get_connection() as conn: + conn.row_factory = sqlite3.Row + cursor = conn.cursor() + + # Get total count + count_query = "SELECT COUNT(*) FROM generation_metadata" + cursor.execute(count_query) + total_count = cursor.fetchone()[0] + + # Get paginated records + offset = (page - 1) * page_size + query = "SELECT * FROM generation_metadata ORDER BY timestamp DESC LIMIT ? OFFSET ?" + cursor.execute(query, (page_size, offset)) + + results = [] + json_fields = ['model_parameters', 'topics', 'examples', 'doc_paths', 'input_path', 'schema'] + + for row in cursor.fetchall(): + result = dict(row) + for field in json_fields: + if field in result and result[field] is not None: + try: + result[field] = json.loads(result[field]) + except json.JSONDecodeError: + print(f"Error decoding JSON for field {field}") + result[field] = None + results.append(result) + + return total_count, results + + except Exception as e: + print(f"Error retrieving paginated metadata: {str(e)}") + return 0, [] + + def get_paginated_evaluate_metadata(self, page: int, page_size: int) -> Tuple[int, List[Dict]]: + """Retrieve paginated metadata entries for evaluations""" + try: + with self.get_connection() as conn: + conn.row_factory = sqlite3.Row + cursor = conn.cursor() + + # Get total count + count_query = "SELECT COUNT(*) FROM evaluation_metadata" + cursor.execute(count_query) + total_count = cursor.fetchone()[0] + + # Get paginated records + offset = (page - 1) * page_size + query = "SELECT * FROM evaluation_metadata ORDER BY timestamp DESC LIMIT ? OFFSET ?" + cursor.execute(query, (page_size, offset)) + + # Process rows and deserialize JSON fields + results = [] + for row in cursor: + row_dict = dict(row) + + # Deserialize JSON fields + for field in ['model_parameters', 'examples']: + if row_dict.get(field) and isinstance(row_dict[field], str): + try: + row_dict[field] = json.loads(row_dict[field]) + except (json.JSONDecodeError, TypeError) as e: + print(f"Error decoding JSON for field {field}: {e}") + row_dict[field] = None + + results.append(row_dict) + + return total_count, results + + except Exception as e: + print(f"Error retrieving paginated metadata: {str(e)}") + return 0, [] + + def get_paginated_export_metadata(self, page: int, page_size: int) -> Tuple[int, List[Dict]]: + """Retrieve paginated export metadata entries""" + try: + with self.get_connection() as conn: + conn.execute("BEGIN") + conn.row_factory = sqlite3.Row + cursor = conn.cursor() + + # Get total count + count_query = "SELECT COUNT(*) FROM export_metadata" + cursor.execute(count_query) + total_count = cursor.fetchone()[0] + + # Calculate offset + offset = (page - 1) * page_size + + # Get paginated data + query = """ + SELECT * FROM export_metadata + ORDER BY timestamp DESC + LIMIT ? OFFSET ? + """ + cursor.execute(query, (page_size, offset)) + + results = [] + for row in cursor.fetchall(): + result = dict(row) + # No JSON fields to parse in this table + results.append(result) + conn.rollback() + return total_count, results + + except Exception as e: + print(f"Error retrieving paginated export metadata: {str(e)}") + return 0, [] def get_metadata_by_filename(self, file_name: str) -> Optional[Dict]: diff --git a/app/main.py b/app/main.py index 216eb8d..701c0c9 100644 --- a/app/main.py +++ b/app/main.py @@ -26,7 +26,10 @@ import json import uuid from fastapi.encoders import jsonable_encoder -print(os.getcwd()) +from fastapi import Query + + +#print(os.getcwd()) # Setup absolute paths ROOT_DIR = Path(__file__).parent.parent # Goes up one level from app/main.py to reach project root print("root: ", Path(__file__)) @@ -396,6 +399,8 @@ async def get_dataset_size(request:JsonDataSize): return {"dataset_size": len(inputs)} + + @app.post("/json/get_content", include_in_schema=True, responses = responses, description = "get json content") async def get_dataset_size(request: RelativePath): @@ -1133,20 +1138,48 @@ async def customise_prompt(): raise HTTPException(status_code=500, detail=str(e)) @app.get("/generations/history", include_in_schema=True) -async def get_generation_history(): - """Get history of all generations""" +async def get_generation_history( + page: int = Query(1, ge=1, description="Page number"), + page_size: int = Query(10, ge=1, le=100, description="Items per page") +): + """Get history of all generations with pagination""" pending_job_ids = db_manager.get_pending_generate_job_ids() - - if not pending_job_ids: - return db_manager.get_all_generate_metadata() - - job_status_map = { - job_id: get_job_status(job_id) + + if pending_job_ids: + job_status_map = { + job_id: get_job_status(job_id) for job_id in pending_job_ids } - db_manager.update_job_statuses_generate(job_status_map) + db_manager.update_job_statuses_generate(job_status_map) - return db_manager.get_all_generate_metadata() + # Get paginated data + total_count, results = db_manager.get_paginated_generate_metadata(page, page_size) + + # Return in the structure expected by the frontend + return { + "data": results, # Changed from "datasets" to "data" for consistency + "pagination": { + "total": total_count, + "page": page, + "page_size": page_size, + "total_pages": (total_count + page_size - 1) // page_size + } + } +# @app.get("/generations/history", include_in_schema=True) +# async def get_generation_history(): +# """Get history of all generations""" +# pending_job_ids = db_manager.get_pending_generate_job_ids() + +# if not pending_job_ids: +# return db_manager.get_all_generate_metadata() + +# job_status_map = { +# job_id: get_job_status(job_id) +# for job_id in pending_job_ids +# } +# db_manager.update_job_statuses_generate(job_status_map) + +# return db_manager.get_all_generate_metadata() @app.get("/generations/{file_name}", include_in_schema=True) async def get_generation_by_filename(file_name: str): @@ -1176,38 +1209,62 @@ async def get_dataset(file_path: str): elif 'qa_pairs' in file_path: return {'generation': data[0:100]} -@app.get("/exports/history", include_in_schema =True) -def get_exports_history(): +@app.get("/exports/history", include_in_schema=True) +def get_exports_history( + page: int = Query(1, ge=1, description="Page number"), + page_size: int = Query(10, ge=1, le=100, description="Items per page") +): + """Get history of all exports with pagination""" pending_job_ids = db_manager.get_pending_export_job_ids() - - if not pending_job_ids: - return db_manager.get_all_export_metadata() - - job_status_map = { - job_id: get_job_status(job_id) + + if pending_job_ids: + job_status_map = { + job_id: get_job_status(job_id) for job_id in pending_job_ids } - db_manager.update_job_statuses_export(job_status_map) + db_manager.update_job_statuses_export(job_status_map) + + # Get paginated data + total_count, results = db_manager.get_paginated_export_metadata(page, page_size) - return db_manager.get_all_export_metadata() + return { + "data": results, # Keep the same response format for backward compatibility + "pagination": { + "total": total_count, + "page": page, + "page_size": page_size, + "total_pages": (total_count + page_size - 1) // page_size + } + } @app.get("/evaluations/history", include_in_schema=True) -async def get_evaluation_history(): - """Get history of all generations""" +async def get_evaluation_history( + page: int = Query(1, ge=1, description="Page number"), + page_size: int = Query(10, ge=1, le=100, description="Items per page") +): + """Get history of all evaluations with pagination""" pending_job_ids = db_manager.get_pending_evaluate_job_ids() - - if not pending_job_ids: - return db_manager.get_all_evaluate_metadata() - - job_status_map = { - job_id: get_job_status(job_id) + + if pending_job_ids: + job_status_map = { + job_id: get_job_status(job_id) for job_id in pending_job_ids } - db_manager.update_job_statuses_evaluate(job_status_map) + db_manager.update_job_statuses_evaluate(job_status_map) + # Get paginated data + total_count, results = db_manager.get_paginated_evaluate_metadata(page, page_size) - return db_manager.get_all_evaluate_metadata() + return { + "data": results, # Keep the same response format for backward compatibility + "pagination": { + "total": total_count, + "page": page, + "page_size": page_size, + "total_pages": (total_count + page_size - 1) // page_size + } + } @app.get("/evaluations/{file_name}", include_in_schema=True) diff --git a/pyproject.toml b/pyproject.toml index 864e889..46a3a38 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ build-backend = "hatchling.build" name = "amp_synthetic_data_studio" version = "0.1.0" description = "Synthetic Data Studio Project" -requires-python = ">=3.10" +requires-python = "==3.10" dependencies = [ # ── existing ───────────────────────────────────────────── "fastapi==0.109.2", diff --git a/uv.lock b/uv.lock index dded261..c4d4042 100644 --- a/uv.lock +++ b/uv.lock @@ -1,11 +1,6 @@ version = 1 revision = 1 -requires-python = ">=3.10" -resolution-markers = [ - 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# Patch db_manager.get_all_generate_metadata to return dummy metadata. - db_manager.get_all_generate_metadata = lambda: [{"generate_file_name": "qa_pairs_claude_20250210T170521148_test.json", "timestamp": "2024-02-10T12:00:00", "model_id": "us.anthropic.claude-3-5-haiku-20241022-v1:0"}] - response = client.get("/generations/history") + # Patch db_manager.get_paginated_generate_metadata to return dummy metadata with pagination info + db_manager.get_paginated_generate_metadata = lambda page, page_size: ( + 1, # total_count + [{"generate_file_name": "qa_pairs_claude_20250210T170521148_test.json", + "timestamp": "2024-02-10T12:00:00", + "model_id": "us.anthropic.claude-3-5-haiku-20241022-v1:0"}] + ) + + # Since get_pending_generate_job_ids might be called, we should patch it too + db_manager.get_pending_generate_job_ids = lambda: [] + + response = client.get("/generations/history?page=1&page_size=10") assert response.status_code == 200 res_json = response.json() - assert len(res_json) > 0 + + # Check that the response contains the expected structure + assert "data" in res_json + assert "pagination" in res_json + + # Check pagination metadata + assert res_json["pagination"]["total"] == 1 + assert res_json["pagination"]["page"] == 1 + assert res_json["pagination"]["page_size"] == 10 + assert res_json["pagination"]["total_pages"] == 1 + + # Check data contents + assert len(res_json["data"]) > 0 # Instead of expecting exactly "test.json", assert the filename contains "_test.json" - assert "_test.json" in res_json[0]["generate_file_name"] + assert "_test.json" in res_json["data"][0]["generate_file_name"] def test_error_handling(): request_data = { From 1953544467a83ef2fa9c6e98abcda17e30c8d681 Mon Sep 17 00:00:00 2001 From: Keivan Vosoughi Date: Thu, 17 Apr 2025 14:00:33 -0700 Subject: [PATCH 05/17] Initial Checkin for free form data generation Add Free Form Workflow Type Add Free From Prompt Add use case for free form workflow type Usecase fix for freeform Show Seed Instructions for FreeForm Ftech File Content Add AG Grid Add Modules Add Themes Adding FreeFormTable Fix Examples Table for Freeform Dataset Fix Dataset Details Page for Freeforms Add Dataset Viewer Hide Exmaples Buttons for Freeforms Fix for Examples in Dataset Details Page (freeform) Update Examples Message Fix for very long seeds Fix for Dataset Details Page Fix for Freeform Table in Results Page Adding Re-generate Dataset Changes Add Evaluation for Freeforms Fix for custom prompt modal Fix Lint Errors --- app/client/eslint.config.js | 1 + app/client/package.json | 2 + app/client/src/Container.tsx | 3 - app/client/src/api/api.ts | 11 +- app/client/src/api/hooks.ts | 4 +- .../src/components/RouteAccessControl.tsx | 2 +- .../src/components/TelemetryDashboard.tsx | 6 +- .../src/pages/DataGenerator/Configure.tsx | 45 ++++- .../DataGenerator/CustomPromptButton.tsx | 40 ++++- .../src/pages/DataGenerator/DataGenerator.tsx | 17 +- .../src/pages/DataGenerator/Examples.tsx | 166 ++++++++++++++++-- .../DataGenerator/FileSelectorButton.tsx | 8 +- .../src/pages/DataGenerator/FilesTable.tsx | 11 +- app/client/src/pages/DataGenerator/Finish.tsx | 36 +++- .../DataGenerator/FreeFormExampleTable.tsx | 127 ++++++++++++++ .../src/pages/DataGenerator/FreeFormTable.tsx | 139 +++++++++++++++ .../pages/DataGenerator/PCModalContent.tsx | 2 +- .../src/pages/DataGenerator/Parameters.tsx | 8 +- app/client/src/pages/DataGenerator/Prompt.tsx | 9 +- .../pages/DataGenerator/SeedResultTable.tsx | 2 +- .../src/pages/DataGenerator/Summary.tsx | 12 +- .../src/pages/DataGenerator/constants.ts | 3 +- app/client/src/pages/DataGenerator/hooks.ts | 38 ++-- app/client/src/pages/DataGenerator/types.ts | 8 +- app/client/src/pages/DataGenerator/utils.ts | 32 ++++ .../pages/DatasetDetails/ConfigurationTab.tsx | 5 +- .../DatasetDetails/CustomGenerationTable.tsx | 4 +- .../DatasetDetails/DatasetDetailsPage.tsx | 17 +- .../DatasetDetails/DatasetGenerationTab.tsx | 12 +- .../DatasetGenerationTopics.tsx | 36 +--- .../pages/DatasetDetails/DatasetViewer.tsx | 44 +++++ .../src/pages/DatasetDetails/ExampleModal.tsx | 2 +- .../pages/DatasetDetails/ExamplesSection.tsx | 51 +----- .../DatasetDetails/TopicGenerationTable.tsx | 4 +- .../src/pages/DatasetDetails/constants.tsx | 2 - .../EvaluationConfigurationTab.tsx | 2 - .../EvaluationGenerationTab.tsx | 20 ++- .../src/pages/EvaluationDetails/hooks.ts | 6 +- .../pages/Evaluator/EvaluateExampleTable.tsx | 6 +- .../src/pages/Evaluator/EvaluatorPage.tsx | 24 +-- .../src/pages/Evaluator/EvaluatorSuccess.tsx | 23 ++- .../Evaluator/FreeFromEvaluationTable.tsx | 140 +++++++++++++++ .../Evaluator/GeneratedEvaluationModal.tsx | 4 +- .../src/pages/Evaluator/ReevaluatorPage.tsx | 8 +- .../src/pages/Evaluator/SeedEvaluateTable.tsx | 6 +- app/client/src/pages/Home/DatasetsTab.tsx | 4 +- app/client/src/pages/Home/EvaluateButton.tsx | 3 +- app/client/src/pages/Home/EvaluationsTab.tsx | 2 +- app/client/src/pages/Home/hooks.ts | 4 +- app/client/src/utils/sortutils.ts | 2 +- build/shell_scripts/build_client.sh | 1 + 51 files changed, 909 insertions(+), 255 deletions(-) create mode 100644 app/client/src/pages/DataGenerator/FreeFormExampleTable.tsx create mode 100644 app/client/src/pages/DataGenerator/FreeFormTable.tsx create mode 100644 app/client/src/pages/DatasetDetails/DatasetViewer.tsx create mode 100644 app/client/src/pages/Evaluator/FreeFromEvaluationTable.tsx diff --git a/app/client/eslint.config.js b/app/client/eslint.config.js index 092408a..6a991c7 100644 --- a/app/client/eslint.config.js +++ b/app/client/eslint.config.js @@ -23,6 +23,7 @@ export default tseslint.config( 'warn', { allowConstantExport: true }, ], + '@typescript-eslint/no-explicit-any': ['warn', { 'fixToUnknown': true, 'ignoreRestArgs': false }] }, }, ) diff --git a/app/client/package.json b/app/client/package.json index f3e0095..bf69255 100644 --- a/app/client/package.json +++ b/app/client/package.json @@ -16,6 +16,8 @@ "@mui/icons-material": "6.1.7", "@mui/material": "6.1.7", "@tanstack/react-query": "5.66.0", + "ag-grid-community": "33.2.4", + "ag-grid-react":"33.2.4", "antd": "5.22.1", "axios": "1.6.7", "lodash": "4.17.21", diff --git a/app/client/src/Container.tsx b/app/client/src/Container.tsx index 94db670..f881d2c 100644 --- a/app/client/src/Container.tsx +++ b/app/client/src/Container.tsx @@ -48,9 +48,6 @@ const PageHeader = styled(Header)` height: fit-content; padding: 5px 15px `; -const StyledImg = styled.img` - height: ${props => props?.height && `${props.height}px`} -` const StyledText = styled.div` font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'; diff --git a/app/client/src/api/api.ts b/app/client/src/api/api.ts index 19d9073..b343957 100644 --- a/app/client/src/api/api.ts +++ b/app/client/src/api/api.ts @@ -27,8 +27,11 @@ export const useFetchModels = (): UseFetchApiReturn => { return useFetch(url); } -export const useFetchDefaultPrompt = (useCase: string): UseFetchApiReturn => { - const url = `${baseUrl}/${isEmpty(useCase) ? 'custom' : useCase}/gen_prompt`; +export const useFetchDefaultPrompt = (useCase: string, workflowType?: WorkerType): UseFetchApiReturn => { + let url = `${baseUrl}/${isEmpty(useCase) ? 'custom' : useCase}/gen_prompt`; + if (workflowType && workflowType === 'freeform') { + url = `${baseUrl}/${isEmpty(useCase) ? 'custom' : useCase}/gen_freeform_prompt`; + } return useFetch(url); } @@ -42,7 +45,7 @@ export const useFetchDefaultModelParams = (): UseFetchApiReturn() => { - const genDatasetUrl = `${import.meta.env.VITE_AMP_URL}/synthesis/generate`; +export const useTriggerDatagen = (workflow_type: string) => { + const genDatasetUrl = `${import.meta.env.VITE_AMP_URL}/synthesis/${workflow_type === 'freeform' ? 'freeform' : 'generate'}`; return usePostApi(genDatasetUrl); } diff --git a/app/client/src/api/hooks.ts b/app/client/src/api/hooks.ts index e233f18..81dc16a 100644 --- a/app/client/src/api/hooks.ts +++ b/app/client/src/api/hooks.ts @@ -106,7 +106,7 @@ interface UsePostApiReturn { data: T | null; loading: boolean; error: Error | null; - triggerPost: (body: Record) => Promise; + triggerPost: (body: Record) => Promise; } export function usePostApi(url: string): UsePostApiReturn { @@ -114,7 +114,7 @@ export function usePostApi(url: string): UsePostApiReturn { const [loading, setLoading] = useState(false); const [error, setError] = useState(null); - const triggerPost = async (body: Record) => { + const triggerPost = async (body: Record) => { setLoading(true); setError(null); // Reset error on each request diff --git a/app/client/src/components/RouteAccessControl.tsx b/app/client/src/components/RouteAccessControl.tsx index dbd46b3..dc8242d 100644 --- a/app/client/src/components/RouteAccessControl.tsx +++ b/app/client/src/components/RouteAccessControl.tsx @@ -10,7 +10,7 @@ import { Navigate, useLocation } from "react-router-dom"; */ interface RouteACProps{ element: ReactNode; - validator: (state: any | null) => boolean; + validator: (state: unknown | null) => boolean; reroutePath?: string; } const RouteAccessControl: FC = ({ element, validator, reroutePath = '/' }) => { diff --git a/app/client/src/components/TelemetryDashboard.tsx b/app/client/src/components/TelemetryDashboard.tsx index b154186..27d7269 100644 --- a/app/client/src/components/TelemetryDashboard.tsx +++ b/app/client/src/components/TelemetryDashboard.tsx @@ -1,7 +1,7 @@ import React, { useState, useEffect } from 'react'; import { BarChart, Bar, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer, - LineChart, Line, AreaChart, Area + LineChart, Line } from 'recharts'; import axios from 'axios'; import { @@ -9,7 +9,7 @@ import { } from 'antd'; import { DashboardOutlined, ApiOutlined, CloudServerOutlined, RocketOutlined, SyncOutlined, - PieChartOutlined, BarChartOutlined, CodeOutlined, WarningOutlined, CheckCircleOutlined, CloseCircleOutlined + CodeOutlined, WarningOutlined, CheckCircleOutlined, CloseCircleOutlined } from '@ant-design/icons'; const { Title, Text } = Typography; @@ -19,7 +19,7 @@ const SUCCESS_COLOR = '#52c41a'; const ERROR_COLOR = '#f5222d'; const WARNING_COLOR = '#faad14'; const INFO_COLOR = '#1890ff'; -const COLORS = ['#0088FE', '#00C49F', '#FFBB28', '#FF8042', '#8884d8', '#4CAF50', '#F44336', '#9C27B0']; +// const COLORS = ['#0088FE', '#00C49F', '#FFBB28', '#FF8042', '#8884d8', '#4CAF50', '#F44336', '#9C27B0']; const TelemetryDashboard = () => { const [loading, setLoading] = useState(true); diff --git a/app/client/src/pages/DataGenerator/Configure.tsx b/app/client/src/pages/DataGenerator/Configure.tsx index 2db6fd4..cde2cab 100644 --- a/app/client/src/pages/DataGenerator/Configure.tsx +++ b/app/client/src/pages/DataGenerator/Configure.tsx @@ -1,5 +1,6 @@ import endsWith from 'lodash/endsWith'; import isEmpty from 'lodash/isEmpty'; +import isFunction from 'lodash/isFunction'; import { useEffect, useState } from 'react'; import { Flex, Form, Input, Select, Typography } from 'antd'; import styled from 'styled-components'; @@ -10,6 +11,7 @@ import { ModelProviders, ModelProvidersDropdownOpts } from './types'; import { useWizardCtx } from './utils'; import FileSelectorButton from './FileSelectorButton'; + const StepContainer = styled(Flex)` background: white; padding: 40px 0px; @@ -31,7 +33,8 @@ export const USECASE_OPTIONS = [ export const WORKFLOW_OPTIONS = [ { label: 'Supervised Fine-Tuning', value: 'supervised-fine-tuning' }, - { label: 'Custom Data Generation', value: 'custom' } + { label: 'Custom Data Generation', value: 'custom' }, + { label: 'Freefrom Data Generation', value: 'freeform' } ]; export const MODEL_TYPE_OPTIONS: ModelProvidersDropdownOpts = [ @@ -55,16 +58,23 @@ const Configure = () => { delete values.output_value; const allFieldsFilled = Object.values(values).every(value => Boolean(value)); - if (allFieldsFilled) { - setIsStepValid && setIsStepValid(true) - } else { - setIsStepValid && setIsStepValid(false) + if (allFieldsFilled && isFunction(setIsStepValid)) { + setIsStepValid(true) + } else if (isFunction(setIsStepValid)) { + setIsStepValid(false) } } useEffect(() => { validateForm() }, [form, formData]) + // keivan + useEffect(() => { + if (formData && formData?.inference_type === undefined) { + form.setFieldValue('inference_type', ModelProviders.CAII); + } + }, [formData]); + const labelCol = { span: 8 }; @@ -83,7 +93,7 @@ const Configure = () => { form.setFieldValue('doc_paths', paths); } - const onFilesChange = (selections: any) => { + const onFilesChange = (selections: unknown) => { if (Array.isArray(selections) && !isEmpty(selections)) { const paths = selections.map((file: File) => ( { @@ -106,7 +116,6 @@ const Configure = () => { setSelectedFiles([]); } } - return ( @@ -209,7 +218,8 @@ const Configure = () => { )} - {formData?.workflow_type === WorkflowType.SUPERVISED_FINE_TUNING && + {(formData?.workflow_type === WorkflowType.SUPERVISED_FINE_TUNING || + formData?.workflow_type === WorkflowType.FREE_FORM_DATA_GENERATION) && { formData?.workflow_type === WorkflowType.CUSTOM_DATA_GENERATION) && { } + {/* {formData?.workflow_type === WorkflowType.FREE_FORM_DATA_GENERATION || + + + + + + } */} ) diff --git a/app/client/src/pages/DataGenerator/CustomPromptButton.tsx b/app/client/src/pages/DataGenerator/CustomPromptButton.tsx index e0696f1..dc2fa47 100644 --- a/app/client/src/pages/DataGenerator/CustomPromptButton.tsx +++ b/app/client/src/pages/DataGenerator/CustomPromptButton.tsx @@ -1,9 +1,8 @@ -import { Button, Flex, Form, Input, Modal, notification, Spin } from "antd"; +import { Button, Form, Input, Modal, notification } from "antd"; import { useEffect, useState } from "react"; import { useMutation } from "@tanstack/react-query"; import styled from "styled-components"; -import { LoadingOutlined } from '@ant-design/icons'; -import { fetchCustomPrompt, fetchPrompt } from "./hooks"; +import { fetchCustomPrompt } from "./hooks"; import Loading from "../Evaluator/Loading"; interface Props { @@ -16,9 +15,30 @@ interface Props { export const StyledTextArea = styled(Input.TextArea)` margin-bottom: 10px !important; - min-height: 175px !important; + min-height: 275px !important; + margin-bottom: 10px !important; + padding: 15px 20px !important; `; +const StyledModal = styled(Modal)` + .ant-modal-content { + max-height: 90vh; + // height: 760px; + height: 85vh; + width: 750px; + .ant-modal-body { + padding-top: 0; + min-height: 70vh; + } + } + // .ant-modal-content { + // border-radius: 8px; + // box-shadow: 0px 4px 16px rgba(0, 0, 0, 0.1); + // background-color: #ffffff; + // padding: 24px; + // } +` + const CustomPromptButton: React.FC = ({ model_id, inference_type, caii_endpoint, use_case, setPrompt }) => { const [form] = Form.useForm(); const [showModal, setShowModal] = useState(false); @@ -39,7 +59,7 @@ const CustomPromptButton: React.FC = ({ model_id, inference_type, caii_en setShowModal(false); } }, [mutation.error, mutation.isSuccess]); - + const onFinish = async () => { const custom_prompt = form.getFieldValue('custom_prompt_instructions'); try { @@ -67,7 +87,7 @@ const CustomPromptButton: React.FC = ({ model_id, inference_type, caii_en {showModal && ( - = ({ model_id, inference_type, caii_en initialValues={initialValues} onFinish={onSubmit} style={{ marginTop: '24px' }} - disabled={mutation.isLoading} + disabled={mutation.isPending} > - {mutation.isLoading && + {mutation.isPending && } @@ -90,6 +110,8 @@ const CustomPromptButton: React.FC = ({ model_id, inference_type, caii_en name='custom_prompt_instructions' label='Custom Prompt Instructions' rules={[{ required: true, message: "This field is required." }]} + labelCol={{ span: 24 }} + wrapperCol={{ span: 24 }} > = ({ model_id, inference_type, caii_en - + ) } diff --git a/app/client/src/pages/DataGenerator/DataGenerator.tsx b/app/client/src/pages/DataGenerator/DataGenerator.tsx index 62a545b..f4d6472 100644 --- a/app/client/src/pages/DataGenerator/DataGenerator.tsx +++ b/app/client/src/pages/DataGenerator/DataGenerator.tsx @@ -2,7 +2,7 @@ import isEmpty from 'lodash/isEmpty'; import isString from 'lodash/isString'; import { useRef, useState } from 'react'; import { useLocation } from 'react-router-dom'; -import { Button, Flex, Form, Layout, Steps, Typography } from 'antd'; +import { Button, Flex, Form, Layout, Steps } from 'antd'; import type { FormInstance } from 'antd'; import ArrowBackIcon from '@mui/icons-material/ArrowBack'; import ArrowForwardIcon from '@mui/icons-material/ArrowForward'; @@ -17,6 +17,7 @@ import Finish from './Finish'; import { DataGenWizardSteps, WizardStepConfig, WorkflowType } from './types'; import { WizardCtx } from './utils'; +import { useGetDatasetDetails } from '../DatasetDetails/hooks'; const { Content } = Layout; // const { Title } = Typography; @@ -98,10 +99,14 @@ const DataGenerator = () => { const [isStepValid, setIsStepValid] = useState(false); // Data passed from listing table to prepopulate form const location = useLocation(); - console.log('DatGenerator >> location?.state?.data:', location?.state?.data); + console.log('location?.state?.data:', location?.state?.data); const initialData = location?.state?.data; + + const datasetDetailsReq = location?.state?.data && useGetDatasetDetails(location?.state?.data?.generate_file_name) if (initialData?.technique) { - initialData.workflow_type = initialData?.technique === 'sft' ? WorkflowType.SUPERVISED_FINE_TUNING : + initialData.workflow_type = initialData?.technique === 'sft' ? + WorkflowType.SUPERVISED_FINE_TUNING : + initialData?.technique === 'freeform' ? WorkflowType.FREE_FORM_DATA_GENERATION : WorkflowType.CUSTOM_DATA_GENERATION; } if (Array.isArray(initialData?.doc_paths) && !isEmpty(initialData?.doc_paths) ) { @@ -111,6 +116,12 @@ const DataGenerator = () => { })); } + + // if (datasetDetailsReq && datasetDetailsReq.data && + // !isEmpty(datasetDetailsReq?.data?.generate_file_name)) { + // initialData.example_path = initialData?.example_path; + // } + if (Array.isArray(initialData?.input_paths) && !isEmpty(initialData?.input_paths) ) { initialData.doc_paths = initialData?.input_paths.map((path: string) => ({ value: path, diff --git a/app/client/src/pages/DataGenerator/Examples.tsx b/app/client/src/pages/DataGenerator/Examples.tsx index 2864ba6..b64fbb7 100644 --- a/app/client/src/pages/DataGenerator/Examples.tsx +++ b/app/client/src/pages/DataGenerator/Examples.tsx @@ -1,10 +1,21 @@ -import { Button, Form, Modal, Space, Table, Tooltip, Typography, Flex } from 'antd'; -import { DeleteOutlined, EditOutlined } from '@ant-design/icons'; +import first from 'lodash/first'; +import get from 'lodash/get'; +import isEmpty from 'lodash/isEmpty'; +import React, { useEffect } from 'react'; +import { Button, Form, Modal, Space, Table, Tooltip, Typography, Flex, Input, Empty } from 'antd'; +import { CloudUploadOutlined, DeleteOutlined, EditOutlined } from '@ant-design/icons'; import styled from 'styled-components'; +import { useMutation } from "@tanstack/react-query"; import { useFetchExamples } from '../../api/api'; import TooltipIcon from '../../components/TooltipIcon'; import PCModalContent from './PCModalContent'; -import { QuestionSolution } from './types'; +import { File, QuestionSolution, WorkflowType } from './types'; +import FileSelectorButton from './FileSelectorButton'; + +import { fetchFileContent } from './hooks'; +import { useState } from 'react'; +import FreeFormExampleTable from './FreeFormExampleTable'; +import { useWizardCtx } from './utils'; const { Title } = Typography; const Container = styled.div` @@ -25,20 +36,66 @@ const StyledTable = styled(Table)` cursor: pointer; } ` + +const StyledContainer = styled.div` + margin-bottom: 24px; + height: 48px; + color: rgba(0, 0, 0, 0.45); + svg { + font-size: 48px; + } + +`; + const MAX_EXAMPLES = 5; -const Examples = () => { +enum ExampleType { + FREE_FORM = 'freeform', + PROMPT_COMPLETION = 'promptcompletion' +} + +const Examples: React.FC = () => { const form = Form.useFormInstance(); - // const { setIsStepValid } = useWizardCtx(); - // const _values = Form.useWatch('examples', form); - // useEffect (() => { - // const values = form.getFieldsValue(); - // if (isEmpty(values.examples)) { - // setIsStepValid(false); - // } else if (!isEmpty(values?.examples)) { - // setIsStepValid(true); - // } - // }, [_values]); + const [exampleType, setExampleType] = useState(ExampleType.PROMPT_COMPLETION); + + const mutation = useMutation({ + mutationFn: fetchFileContent + }); + const values = form.getFieldsValue(true) + + useEffect(() => { + const example_path = form.getFieldValue('example_path'); + + if (!isEmpty(example_path)) { + mutation.mutate({ + path: example_path + }); + } + + if (form.getFieldValue('workflow_type') === 'freeform') { + setExampleType(ExampleType.FREE_FORM); + } + + + + }, [form.getFieldValue('example_path'), form.getFieldValue('workflow_type')]); + + useEffect(() => { + if (!isEmpty(mutation.data)) { + form.setFieldValue('examples', mutation.data); + } + }, [mutation.data]); + + const { setIsStepValid } = useWizardCtx(); + const _values = Form.useWatch(['examples', 'example_path'], form); + useEffect (() => { + const values = form.getFieldsValue(); + if (isEmpty(values.examples) && isEmpty(form.getFieldValue('example_path'))) { + setIsStepValid(false); + } else { + setIsStepValid(true); + } + }, [_values, form.getFieldValue('example_path')]); const columns = [ { @@ -141,6 +198,26 @@ const Examples = () => { form.setFieldValue('examples', examples.examples) } const rowLimitReached = form.getFieldValue('examples')?.length === MAX_EXAMPLES; + const workflowType = form.getFieldValue('workflow_type'); + + const onAddFiles = (files: File[]) => { + if (!isEmpty (files)) { + const file = first(files); + mutation.mutate({ + path: get(file, '_path'), + }); + const values = form.getFieldsValue(); + form.setFieldsValue({ + ...values, + example_path: get(file, '_path') + }); + setExampleType(ExampleType.FREE_FORM); + } + } + + const labelCol = { + span: 10 + }; return ( @@ -151,7 +228,26 @@ const Examples = () => { - + + {workflowType === WorkflowType.FREE_FORM_DATA_GENERATION && + <> + + + + + + } + + {exampleType !== ExampleType.FREE_FORM && + } + + {exampleType !== ExampleType.FREE_FORM && - + } + {exampleType === ExampleType.FREE_FORM && !isEmpty(mutation.data) && + } + {exampleType === ExampleType.FREE_FORM && isEmpty(mutation.data) && !isEmpty(values.examples) && + } + {exampleType === ExampleType.FREE_FORM && isEmpty(mutation.data) && isEmpty(values.examples) && + + + + } + imageStyle={{ + height: 60, + marginBottom: 24 + }} + description={ + <> +

+ Upload a JSON file containing examples +

+

+ {'Examples should be in the format of a JSON array containing array of key & value pairs. The key should be the column name and the value should be the cell value.'} +

+ + } + > + + } + {exampleType !== ExampleType.FREE_FORM && @@ -230,7 +358,7 @@ const Examples = () => { rowClassName={() => 'hover-pointer'} rowKey={(_record, index) => `examples-table-${index}`} /> - + } ) diff --git a/app/client/src/pages/DataGenerator/FileSelectorButton.tsx b/app/client/src/pages/DataGenerator/FileSelectorButton.tsx index fd612cf..b8e6f88 100644 --- a/app/client/src/pages/DataGenerator/FileSelectorButton.tsx +++ b/app/client/src/pages/DataGenerator/FileSelectorButton.tsx @@ -1,4 +1,3 @@ -import get from 'lodash/get'; import { Button, Modal } from 'antd'; import React, { useState } from 'react'; import FilesTable from './FilesTable'; @@ -9,9 +8,10 @@ import { File, WorkflowType } from './types'; interface Props { onAddFiles: (files: File[]) => void; workflowType: WorkflowType; + label?: string; } -const FileSelectorButton: React.FC = ({ onAddFiles, workflowType }) => { +const FileSelectorButton: React.FC = ({ onAddFiles, workflowType, label }) => { const [showModal, setShowModal] = useState(false); const [selectedFiles, setSelectedFiles] = useState([]) @@ -31,7 +31,9 @@ const FileSelectorButton: React.FC = ({ onAddFiles, workflowType }) => { style={{ marginLeft: '4px' }} onClick={() => setShowModal(true)} icon={} - /> + > + {label ? label : null} + {showModal && ( = ({ onSelectedRows, workflowType }) => { const [paths, setPaths] = useState(null); const [path, setPath] = useState(null); const [selectedRowKeys, setSelectedRowKeys] = useState([]); - const [selectedRows, setSelectedRows] = useState([]); + const [, setSelectedRows] = useState([]); // row selection map: path as key -> list of row keys const [rowSelectionMap, setRowSelectionMap] = useState({}); // row selection map: path as key -> list of files const [fileSelectionMap, setFileSelectionMap] = useState({}); - const { fetching, listProjectFiles, data } = useGetProjectFiles(paths || []); + const { fetching, listProjectFiles, data } = useGetProjectFiles(); useEffect(() => { if (!isEmpty(path) || paths === null || isEmpty(paths)) { @@ -151,7 +153,7 @@ const FilesTable: React.FC = ({ onSelectedRows, workflowType }) => { key: 'name', ellipsis: true, render: (file: File) => { - const { name, url } = file; + const { name } = file; if (file?.mime !== DIRECTORY_MIME_TYPE) { return ( @@ -205,6 +207,7 @@ const FilesTable: React.FC = ({ onSelectedRows, workflowType }) => { )} + {fetching && } diff --git a/app/client/src/pages/DataGenerator/Finish.tsx b/app/client/src/pages/DataGenerator/Finish.tsx index 00df57f..116bfb7 100644 --- a/app/client/src/pages/DataGenerator/Finish.tsx +++ b/app/client/src/pages/DataGenerator/Finish.tsx @@ -1,6 +1,7 @@ import isNumber from 'lodash/isNumber'; import filter from 'lodash/filter'; import isString from 'lodash/isString'; +import isEmpty from 'lodash/isEmpty'; import { FC, useEffect } from 'react'; import { HomeOutlined, PageviewOutlined } from '@mui/icons-material'; import AssessmentIcon from '@mui/icons-material/Assessment'; @@ -16,10 +17,10 @@ import { useTriggerDatagen } from './../../api/api' import { DEMO_MODE_THRESHOLD } from './constants' import { GenDatasetResponse, QuestionSolution, WorkflowType } from './types'; import { Pages } from '../../types'; -import { isEmpty } from 'lodash'; import CustomResultTable from './CustomResultTable'; import SeedResultTable from './SeedResultTable'; import { getFilesURL } from '../Evaluator/util'; +import FreeFormTable from './FreeFormTable'; const { Title } = Typography; @@ -126,9 +127,10 @@ const isDemoMode = (numQuestions: number, topics: [], form: FormInstance) => { const Finish = () => { const form = Form.useFormInstance(); - const { data: genDatasetResp, loading, error: generationError, triggerPost } = useTriggerDatagen(); - const { num_questions, topics } = form.getFieldsValue(true) - const isDemo = isDemoMode(num_questions, topics, form) + const { num_questions, topics, workflow_type } = form.getFieldsValue(true); + const { data: genDatasetResp, loading, error: generationError, triggerPost } = useTriggerDatagen(workflow_type); + + const isDemo = isDemoMode(num_questions, topics, form); useEffect(() => { const formValues = form.getFieldsValue(true); @@ -153,6 +155,8 @@ const Finish = () => { formValues.technique = 'sft'; } else if (formValues.workflow_type === WorkflowType.CUSTOM_DATA_GENERATION) { formValues.technique = 'custom_workflow'; + } else if (formValues.workflow_type === WorkflowType.FREE_FORM_DATA_GENERATION) { + formValues.technique = 'freeform'; } // send examples as null when the array is empty if (isEmpty(formValues.examples)) { @@ -173,11 +177,15 @@ const Finish = () => { formValues.doc_paths = doc_paths } + if (formValues.workflow_type === WorkflowType.FREE_FORM_DATA_GENERATION) { + delete formValues.examples; + } + const args = {...formValues, is_demo: isDemo, model_params: formValues.model_parameters } triggerPost(args) }, []); - const hasTopics = (genDatasetResp: any) => { + const hasTopics = (genDatasetResp: unknown) => { return !Array.isArray(genDatasetResp?.results) } @@ -192,13 +200,23 @@ const Finish = () => { let topicTabs = []; if (!hasDocSeeds && formValues.workflow_type !== WorkflowType.CUSTOM_DATA_GENERATION && - hasTopics(genDatasetResp)) { - topicTabs = genDatasetResp?.results && Object.keys(genDatasetResp.results).map((topic, i) => ({ + hasTopics(genDatasetResp) && !isEmpty(genDatasetResp?.results)) { + const values = Object.values(genDatasetResp?.results); + + + topicTabs = genDatasetResp?.results && Object.keys(genDatasetResp.results).map((topic, i) => { + return ({ key: `${topic}-${i}`, label: {topic}, value: topic, - children: - })); + children: workflow_type !== WorkflowType.FREE_FORM_DATA_GENERATION ? + : + // + + + + }) + }); } const nextStepsListPreview = [ diff --git a/app/client/src/pages/DataGenerator/FreeFormExampleTable.tsx b/app/client/src/pages/DataGenerator/FreeFormExampleTable.tsx new file mode 100644 index 0000000..c93bceb --- /dev/null +++ b/app/client/src/pages/DataGenerator/FreeFormExampleTable.tsx @@ -0,0 +1,127 @@ + +import isEmpty from 'lodash/isEmpty'; +import first from 'lodash/first'; +import toString from 'lodash/toString'; +import React, { FunctionComponent, useState, useMemo, useCallback, useEffect } from 'react'; +import { AgGridReact } from 'ag-grid-react'; + +// // Register all Community features +// // ModuleRegistry.registerModules([AllCommunityModule]); +import { themeMaterial } from "ag-grid-community"; + +import { + ModuleRegistry, + ClientSideRowModelModule, + ValidationModule, + type ColDef, + type GetRowIdFunc, + type GetRowIdParams + } from 'ag-grid-community'; + +import { TextFilterModule } from 'ag-grid-community'; +import { NumberFilterModule } from 'ag-grid-community'; +import { DateFilterModule } from 'ag-grid-community'; + +// Register all Community features (if needed, specify valid modules here) +ModuleRegistry.registerModules([ + // AllModules, + TextFilterModule, + NumberFilterModule, + DateFilterModule, + // SetFilterModule, + // MultiFilterModule, + // GroupFilterModule, + // CustomFilterModule, + + // ModuleRegistry, + // RowGroupingModule, + // PivotModule, + // TreeDataModule, + ClientSideRowModelModule, + ValidationModule +]); + +interface Props { + data: Record[]; +} + +const FreeFormExampleTable: FunctionComponent = ({ data }) => { + const [colDefs, setColDefs] = useState([]); + const [rowData, setRowData] = useState([]); + + useEffect(() => { + if (!isEmpty(data)) { + const columnNames = Object.keys(first(data)); + const columnDefs = columnNames.map((colName) => ({ + field: colName, + headerName: colName, + width: 250, + filter: true, + sortable: true, + resizable: true + })); + setColDefs(columnDefs); + setRowData(data); + } + } + , [data]); + + const defaultColDef: ColDef = useMemo( + () => ({ + flex: 1, + filter: true, + enableRowGroup: true, + enableValue: true, + + editable: true, + minWidth: 170 + }), + [] + ); + + let index = 0; + const getRowId = useCallback( + ({ data: { ticker } }: GetRowIdParams) => { + index++; + return ticker || toString(index); + }, + [] + ); + + const statusBar = useMemo( + () => ({ + statusPanels: [ + { statusPanel: "agTotalAndFilteredRowCountComponent" }, + { statusPanel: "agTotalRowCountComponent" }, + { statusPanel: "agFilteredRowCountComponent" }, + { statusPanel: "agSelectedRowCountComponent" }, + { statusPanel: "agAggregationComponent" }, + ], + }), + [] + ); + + + return ( + <> +
+ +
+ + ); +} +export default FreeFormExampleTable; \ No newline at end of file diff --git a/app/client/src/pages/DataGenerator/FreeFormTable.tsx b/app/client/src/pages/DataGenerator/FreeFormTable.tsx new file mode 100644 index 0000000..24fb9f8 --- /dev/null +++ b/app/client/src/pages/DataGenerator/FreeFormTable.tsx @@ -0,0 +1,139 @@ + +import isEmpty from 'lodash/isEmpty'; +import first from 'lodash/first'; +import toString from 'lodash/toString'; +import React, { FunctionComponent, useState, useMemo, useCallback, useEffect } from 'react'; +import { AgGridReact } from 'ag-grid-react'; +// // Register all Community features +// // ModuleRegistry.registerModules([AllCommunityModule]); +import { themeMaterial } from 'ag-grid-community'; + +import { + ModuleRegistry, + ClientSideRowModelModule, + ValidationModule, + type ColDef, + type GetRowIdFunc, + type GetRowIdParams + } from 'ag-grid-community'; + +// import { RowGroupingModule } from 'ag-grid-community'; +// import { PivotModule } from 'ag-grid-community'; +// import { TreeDataModule } from 'ag-grid-community'; +// import { ClientSideRowModelModule } from 'ag-grid-community'; +// import { AllModules } from 'ag-grid-community'; +import { TextFilterModule } from 'ag-grid-community'; +import { NumberFilterModule } from 'ag-grid-community'; +import { DateFilterModule } from 'ag-grid-community'; +// import { SetFilterModule } from 'ag-grid-community'; +// import { MultiFilterModule } from 'ag-grid-community'; +// import { GroupFilterModule } from 'ag-grid-community'; +// import { CustomFilterModule } from 'ag-grid-community'; + +// Register all Community features (if needed, specify valid modules here) +ModuleRegistry.registerModules([ + // AllModules, + TextFilterModule, + NumberFilterModule, + DateFilterModule, + ClientSideRowModelModule, + ValidationModule +]); + +interface Props { + data: Record[]; +} + +const FreeFormTable: FunctionComponent = ({ data }) => { + const [colDefs, setColDefs] = useState([]); + const [rowData, setRowData] = useState([]); + + useEffect(() => { + if (!isEmpty(data)) { + const columnNames = Object.keys(first(data)); + const columnDefs = columnNames.map((colName) => ({ + field: colName, + headerName: colName, + width: 250, + filter: true, + sortable: true, + resizable: true + })); + setColDefs(columnDefs); + setRowData(data); + } + } + , [data]); + // const [rowData, setRowData] = useState([ + // { make: "Tesla", model: "Model Y", price: 64950, electric: true }, + // { make: "Ford", model: "F-Series", price: 33850, electric: false }, + // { make: "Toyota", model: "Corolla", price: 29600, electric: false }, + // ]); + + // // Column Definitions: Defines the columns to be displayed. + // const [colDefs, setColDefs] = useState([ + // { field: "make" }, + // { field: "model" }, + // { field: "price" }, + // { field: "electric" } + // ]); + + const defaultColDef: ColDef = useMemo( + () => ({ + flex: 1, + filter: true, + enableRowGroup: true, + enableValue: true, + + editable: true, + minWidth: 170 + }), + [] + ); + + let index = 0; + const getRowId = useCallback( + ({ data: { ticker } }: GetRowIdParams) => { + index++; + return ticker || toString(index); + }, + [] + ); + + const statusBar = useMemo( + () => ({ + statusPanels: [ + { statusPanel: "agTotalAndFilteredRowCountComponent" }, + { statusPanel: "agTotalRowCountComponent" }, + { statusPanel: "agFilteredRowCountComponent" }, + { statusPanel: "agSelectedRowCountComponent" }, + { statusPanel: "agAggregationComponent" }, + ], + }), + [] + ); + + + return ( + <> +
+ +
+ + ); +} +export default FreeFormTable; \ No newline at end of file diff --git a/app/client/src/pages/DataGenerator/PCModalContent.tsx b/app/client/src/pages/DataGenerator/PCModalContent.tsx index b157ed1..83b7c0e 100644 --- a/app/client/src/pages/DataGenerator/PCModalContent.tsx +++ b/app/client/src/pages/DataGenerator/PCModalContent.tsx @@ -3,7 +3,7 @@ import styled from 'styled-components'; import Markdown from '../../components/Markdown'; import TooltipIcon from '../../components/TooltipIcon'; -import { JustificationScore, QuestionSolution } from './types'; +import { QuestionSolution } from './types'; const { Title } = Typography; const Container = styled(Flex)` diff --git a/app/client/src/pages/DataGenerator/Parameters.tsx b/app/client/src/pages/DataGenerator/Parameters.tsx index 7f1564e..9855568 100644 --- a/app/client/src/pages/DataGenerator/Parameters.tsx +++ b/app/client/src/pages/DataGenerator/Parameters.tsx @@ -1,6 +1,6 @@ import isEmpty from 'lodash/isEmpty'; import { useEffect, useRef, useState } from 'react'; -import { Col, Divider, Form, InputNumber, Row, Slider, Spin, Typography } from 'antd'; +import { Col, Divider, Form, InputNumber, Row, Slider, Typography } from 'antd'; import { merge } from 'lodash'; import styled from 'styled-components'; @@ -58,7 +58,7 @@ const Parameters = () => { const formData = form.getFieldsValue(true); const [values, setValues] = useState(formData?.model_parameters); - const { data: defaultParams, loading: loadingDefaultParams } = useFetchDefaultModelParams(); + const { data: defaultParams } = useFetchDefaultModelParams(); useEffect(() => { if (!isEmpty(formData?.model_parameters)) { @@ -185,7 +185,7 @@ const Parameters = () => { - {/* {LABELS[ModelParameters.MAX_TOKENS]}} labelCol={{ span: 24 }} @@ -215,7 +215,7 @@ const Parameters = () => { /> - */} + ) diff --git a/app/client/src/pages/DataGenerator/Prompt.tsx b/app/client/src/pages/DataGenerator/Prompt.tsx index 71c654d..8ff5ab6 100644 --- a/app/client/src/pages/DataGenerator/Prompt.tsx +++ b/app/client/src/pages/DataGenerator/Prompt.tsx @@ -77,12 +77,12 @@ const Prompt = () => { const output_key = form.getFieldValue('output_key'); const caii_endpoint = form.getFieldValue('caii_endpoint'); - const { data: defaultPrompt, loading: promptsLoading } = useFetchDefaultPrompt(useCase); + const { data: defaultPrompt, loading: promptsLoading } = useFetchDefaultPrompt(useCase, workflow_type); // Page Bootstrap requests and useEffect const { data: defaultTopics, loading: topicsLoading } = usefetchTopics(useCase); const { data: defaultSchema, loading: schemaLoading } = useFetchDefaultSchema(); - const { data: dataset_size, isLoading: datasetSizeLoadin, isError, error } = useDatasetSize( + const { data: dataset_size, isLoading: datasetSizeLoading, isError, error } = useDatasetSize( workflow_type, doc_paths, input_key, @@ -266,7 +266,8 @@ const Prompt = () => { } {isEmpty(doc_paths) && (workflow_type === WorkflowType.SUPERVISED_FINE_TUNING || - workflow_type === WorkflowType.CUSTOM_DATA_GENERATION) && + workflow_type === WorkflowType.CUSTOM_DATA_GENERATION || + workflow_type === WorkflowType.FREE_FORM_DATA_GENERATION) && { { + { validator: (_: unknown, value: string) => { if (items.includes(value)) { return Promise.reject('This seed instruction already exists in the list') } diff --git a/app/client/src/pages/DataGenerator/SeedResultTable.tsx b/app/client/src/pages/DataGenerator/SeedResultTable.tsx index 159eb07..ae416a3 100644 --- a/app/client/src/pages/DataGenerator/SeedResultTable.tsx +++ b/app/client/src/pages/DataGenerator/SeedResultTable.tsx @@ -24,7 +24,7 @@ const SeedResultTable: React.FC = ({ results }) => { forEach(seeds, (seed: string) => { const pairs = get(results, `${seed}`); if (Array.isArray(pairs)) { - forEach(pairs, (pair: any) => { + forEach(pairs, (pair: unknown) => { data.push({ seed, question: get(pair, `question`), diff --git a/app/client/src/pages/DataGenerator/Summary.tsx b/app/client/src/pages/DataGenerator/Summary.tsx index 797f110..5aeff01 100644 --- a/app/client/src/pages/DataGenerator/Summary.tsx +++ b/app/client/src/pages/DataGenerator/Summary.tsx @@ -6,6 +6,7 @@ import PCModalContent from './PCModalContent' import { MODEL_PROVIDER_LABELS } from './constants' import { ModelParameters } from '../../types'; import { ModelProviders, QuestionSolution, Usecases } from './types'; +import FreeFormExampleTable from './FreeFormExampleTable'; const { Title } = Typography; const MODEL_PARAMETER_LABELS: Record = { @@ -46,10 +47,11 @@ const Summary= () => { num_questions, custom_prompt, model_parameters, + workflow_type, topics = [], schema, examples = [] - } = form.getFieldsValue(true) + } = form.getFieldsValue(true); const cfgStepDataSource = [ { label: 'Dataset Name', children: display_name }, @@ -72,7 +74,7 @@ const Summary= () => { ellipsis: true, render: (_text: QuestionSolution, record: QuestionSolution) => <>{record.solution} }, - ] + ]; return ( @@ -133,9 +135,11 @@ const Summary= () => { )} - {isEmpty(examples) && + {!isEmpty(examples) &&
{'Examples'} + {workflow_type === 'freeform' ? + : { }) })} rowKey={(_record, index) => `summary-examples-table-${index}`} - /> + />}
} ) diff --git a/app/client/src/pages/DataGenerator/constants.ts b/app/client/src/pages/DataGenerator/constants.ts index 4e5549a..d90b5b2 100644 --- a/app/client/src/pages/DataGenerator/constants.ts +++ b/app/client/src/pages/DataGenerator/constants.ts @@ -19,7 +19,8 @@ export const USECASE_OPTIONS = [ export const WORKFLOW_OPTIONS = [ { label: 'Supervised Fine-Tuning', value: 'sft' }, - { label: 'Custom Data Generation', value: 'custom' } + { label: 'Custom Data Generation', value: 'custom' }, + { label: 'Freeform Data Generation', value: 'freeform' } ]; export const MODEL_TYPE_OPTIONS: ModelProvidersDropdownOpts = [ diff --git a/app/client/src/pages/DataGenerator/hooks.ts b/app/client/src/pages/DataGenerator/hooks.ts index 61bb2a5..eab4e99 100644 --- a/app/client/src/pages/DataGenerator/hooks.ts +++ b/app/client/src/pages/DataGenerator/hooks.ts @@ -3,13 +3,12 @@ import get from 'lodash/get'; import toNumber from 'lodash/toNumber'; import isEmpty from 'lodash/isEmpty'; import isString from 'lodash/isString'; -import { useState } from 'react'; import { useMutation, useQuery } from '@tanstack/react-query'; import { WorkflowType } from './types'; const BASE_API_URL = import.meta.env.VITE_AMP_URL; -export const fetchPrompt = async (use_case: string, params: any) => { +export const fetchPrompt = async (use_case: string, params: unknown) => { if (use_case !== 'custom') { const resp = await fetch(`${BASE_API_URL}/${use_case}/gen_prompt`, { method: 'GET' @@ -63,7 +62,7 @@ export const useGetPromptByUseCase = (use_case: string, { model_id, inference_ty }; } -export const fetchCustomPrompt = async (params: any) => { +export const fetchCustomPrompt = async (params: unknown) => { if (params.use_case !== 'custom') { const resp = await fetch(`${BASE_API_URL}/${params.use_case}/gen_prompt`, { method: 'GET' @@ -89,7 +88,24 @@ export const fetchCustomPrompt = async (params: any) => { } } -export const listModels = async (params: any) => { +export const fetchFileContent = async (params: unknown) => { + const resp = await fetch(`${BASE_API_URL}/json/get_content`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify(params), + }); + if (resp.status !== 200) { + const error = await resp.json(); + throw new Error(error.message || error.detail); + } + const body = await resp.json(); + const content = get(body, 'data'); + return content; +} + +export const listModels = async (params: unknown) => { const resp = await fetch(`${BASE_API_URL}/model/model_ID`, { method: 'POST', headers: { @@ -105,7 +121,7 @@ export const listModels = async (params: any) => { return body; } -export const listFilesByPath = async (params: any) => { +export const listFilesByPath = async (params: unknown) => { const resp = await fetch(`${BASE_API_URL}/get_project_files`, { method: 'POST', headers: { @@ -119,7 +135,7 @@ export const listFilesByPath = async (params: any) => { } const body = await resp.json(); const _files = get(body, '_files'); - const files = _files.map((_file: any) => { + const files = _files.map((_file: unknown) => { const name = get(_file, '_path'); const size = toNumber(get(_file, '_file_size')); const _is_dir = get(_file, '_is_dir') @@ -135,9 +151,7 @@ export const listFilesByPath = async (params: any) => { return files; } -export const useGetProjectFiles = (paths: string[]) => { - const [files, setFiles] = useState([]); - +export const useGetProjectFiles = () => { const mutation = useMutation({ mutationFn: listFilesByPath }); @@ -145,12 +159,12 @@ export const useGetProjectFiles = (paths: string[]) => { if (mutation.isError) { notification.error({ message: 'Error', - description: `An error occurred while fetching the prompt.\n ${mutation.error}` + description: `An error occurred while fetching the list of project files.\n ${mutation.error}` }); } return { listProjectFiles: mutation.mutate, - fetching: mutation.isLoading, + fetching: mutation.isPending, error: mutation.error, isError: mutation.isError, data: mutation.data @@ -158,7 +172,7 @@ export const useGetProjectFiles = (paths: string[]) => { }; - export const fetchDatasetSize = async (params: any) => { + export const fetchDatasetSize = async (params: unknown) => { const resp = await fetch(`${BASE_API_URL}/json/dataset_size`, { method: 'POST', headers: { diff --git a/app/client/src/pages/DataGenerator/types.ts b/app/client/src/pages/DataGenerator/types.ts index 38a8f25..00be477 100644 --- a/app/client/src/pages/DataGenerator/types.ts +++ b/app/client/src/pages/DataGenerator/types.ts @@ -35,7 +35,7 @@ export interface GenDatasetRequest { topics?: string[]; use_case?: Usecases is_demo?: boolean; - results?: any + results?: unknown } export interface GenDatasetResponse { @@ -104,7 +104,8 @@ export interface File { export enum WorkflowType { SUPERVISED_FINE_TUNING = 'supervised-fine-tuning', - CUSTOM_DATA_GENERATION = "custom" + CUSTOM_DATA_GENERATION = "custom", + FREE_FORM_DATA_GENERATION = "freeform" } export interface CustomResult { @@ -114,5 +115,6 @@ export interface CustomResult { export enum TechniqueType { SFT = 'sft', - CUSTOME_WORKFLOW = 'custom_workflow' + CUSTOME_WORKFLOW = 'custom_workflow', + FREE_FORM = 'freeform' } \ No newline at end of file diff --git a/app/client/src/pages/DataGenerator/utils.ts b/app/client/src/pages/DataGenerator/utils.ts index ab9f784..6f7e932 100644 --- a/app/client/src/pages/DataGenerator/utils.ts +++ b/app/client/src/pages/DataGenerator/utils.ts @@ -37,3 +37,35 @@ export const fromNow = time => { } return moment(time).fromNow(); }; + +export const sampleExamplesData = [ + { + "loan_amnt": 10000.00, + "term": "36 months", + "int_rate": 11.44, + "installment": 329.48, + "grade": "B", + "sub_grade": "B4", + "emp_title": "Marketing", + "emp_length": "10+ years", + "home_ownership": "RENT", + "annual_inc": 117000.00, + "verification_status": "Not Verified", + "issue_d": "Jan-2015", + "loan_status": "Fully Paid", + "purpose": "vacation", + "title": "Vacation", + "dti": 26.24, + "earliest_cr_line": "Jun-1990", + "open_acc": 16.00, + "pub_rec": 0.00, + "revol_bal": 36369.00, + "revol_util": 41.80, + "total_acc": 25.00, + "initial_list_status": "w", + "application_type": "INDIVIDUAL", + "mort_acc": 0.00, + "pub_rec_bankruptcies": 0.00, + "address": "0185 Michelle Gateway\r\nMendozaberg, OK 22690" + } +]; diff --git a/app/client/src/pages/DatasetDetails/ConfigurationTab.tsx b/app/client/src/pages/DatasetDetails/ConfigurationTab.tsx index 138adbb..b16ec0c 100644 --- a/app/client/src/pages/DatasetDetails/ConfigurationTab.tsx +++ b/app/client/src/pages/DatasetDetails/ConfigurationTab.tsx @@ -6,6 +6,7 @@ import { Col, Flex, Modal, Row, Space, Table, Tag, Typography } from 'antd'; import ExampleModal from './ExampleModal'; import { QuestionSolution } from '../DataGenerator/types'; import styled from 'styled-components'; +import FreeFormExampleTable from '../DataGenerator/FreeFormExampleTable'; const { Text } = Typography; @@ -149,6 +150,8 @@ const ConfigurationTab: React.FC = ({ dataset }) => { Examples + {dataset.technique === 'freeform' && } + {dataset.technique !== 'freeform' && = ({ dataset }) => { }) })} rowKey={(_record, index) => `summary-examples-table-${index}`} - /> + />} diff --git a/app/client/src/pages/DatasetDetails/CustomGenerationTable.tsx b/app/client/src/pages/DatasetDetails/CustomGenerationTable.tsx index 1e2ec19..776276f 100644 --- a/app/client/src/pages/DatasetDetails/CustomGenerationTable.tsx +++ b/app/client/src/pages/DatasetDetails/CustomGenerationTable.tsx @@ -1,7 +1,5 @@ import React, { SyntheticEvent, useEffect } from 'react'; - import { Col, Input, Row, Table } from 'antd'; -import { CustomResult } from '../DataGenerator/types'; import { DatasetGeneration } from '../Home/types'; import { sortItemsByKey } from '../../utils/sortutils'; import { SearchProps } from 'antd/es/input/Search'; @@ -51,7 +49,7 @@ const CustomGenerationTable: React.FC = ({ results }) => { } ]; - const onSearch: SearchProps['onSearch'] = (value, _e, info) => { + const onSearch: SearchProps['onSearch'] = (value) => { throttle((value: string) => setSearchQuery(value), 500)(value); } diff --git a/app/client/src/pages/DatasetDetails/DatasetDetailsPage.tsx b/app/client/src/pages/DatasetDetails/DatasetDetailsPage.tsx index 3ef5175..b5de8a0 100644 --- a/app/client/src/pages/DatasetDetails/DatasetDetailsPage.tsx +++ b/app/client/src/pages/DatasetDetails/DatasetDetailsPage.tsx @@ -24,21 +24,6 @@ import { getFilesURL } from '../Evaluator/util'; const { Content } = Layout; const { Title } = Typography; - -const StyledHeader = styled.div` - height: 28px; - flex-grow: 0; - font-family: Roboto, -apple-system, 'Segoe UI', sans-serif; - color: #5a656d; - font-size: 24px; - font-weight: 300; - font-stretch: normal; - font-style: normal; - line-height: 1.4; - letter-spacing: normal; - text-align: left; -`; - const StyledLabel = styled.div` margin-bottom: 4px; font-family: Roboto, -apple-system, 'Segoe UI', sans-serif; @@ -221,7 +206,7 @@ const DatasetDetailsPage: React.FC = () => { - Files + Context {/* {dataset?.custom_prompt} */} diff --git a/app/client/src/pages/DatasetDetails/DatasetGenerationTab.tsx b/app/client/src/pages/DatasetDetails/DatasetGenerationTab.tsx index 9341cf2..5e4419f 100644 --- a/app/client/src/pages/DatasetDetails/DatasetGenerationTab.tsx +++ b/app/client/src/pages/DatasetDetails/DatasetGenerationTab.tsx @@ -5,8 +5,8 @@ import styled from 'styled-components'; import { Dataset } from '../Evaluator/types'; import CustomGenerationTable from './CustomGenerationTable'; import DatasetGenerationTopics from './DatasetGenerationTopics'; -import { CustomResult } from "../DataGenerator/types"; import { DatasetDetails, DatasetGeneration } from '../Home/types'; +import DatasetViewer from './DatasetViewer'; @@ -23,19 +23,17 @@ const Container = styled.div` const DatasetGenerationTab: React.FC = ({ dataset, datasetDetails }) => { - console.log(`DatasetGenerationTab > dataset`, dataset); - console.log(` datasetDetails`, datasetDetails); const topics = get(dataset, 'topics', []); - console.log(` topics`, topics); + const technique = get(dataset, 'technique'); const hasCustomSeeds = !Array.isArray(datasetDetails?.generation) || isEmpty(topics) || topics !== null; - console.log(` hasCustomSeeds`, hasCustomSeeds); return ( - {hasCustomSeeds && } - {!hasCustomSeeds && } + {technique === 'freeform' && } + {(technique !== 'freeform' && hasCustomSeeds) && } + {(technique !== 'freeform' && !hasCustomSeeds) && } diff --git a/app/client/src/pages/DatasetDetails/DatasetGenerationTopics.tsx b/app/client/src/pages/DatasetDetails/DatasetGenerationTopics.tsx index 3d5d529..c74bed7 100644 --- a/app/client/src/pages/DatasetDetails/DatasetGenerationTopics.tsx +++ b/app/client/src/pages/DatasetDetails/DatasetGenerationTopics.tsx @@ -1,44 +1,17 @@ import get from 'lodash/get'; -import { Card, Table, Tabs, Typography } from "antd"; +import { Card, Tabs, Typography } from "antd"; import { DatasetGeneration } from "../Home/types"; import TopicGenerationTable from "./TopicGenerationTable"; import isEmpty from "lodash/isEmpty"; import styled from "styled-components"; import { Dataset } from '../Evaluator/types'; +import FreeFormTable from '../DataGenerator/FreeFormTable'; interface Props { data: DatasetGeneration; dataset: Dataset; } -const StyledTable = styled(Table)` - font-family: Roboto, -apple-system, 'Segoe UI', sans-serif; - color: #5a656d; - .ant-table-thead > tr > th { - color: #5a656d; - border-bottom: 1px solid #eaebec; - font-weight: 500; - text-align: left; - // background: #ffffff; - border-bottom: 1px solid #eaebec; - transition: background 0.3s ease; - } - .ant-table-row { - cursor: pointer; - } - .ant-table-row > td.ant-table-cell { - padding: 8px; - padding-left: 16px; - font-size: 13px; - font-family: Roboto, -apple-system, 'Segoe UI', sans-serif; - color: #5a656d; - .ant-typography { - font-size: 13px; - font-family: Roboto, -apple-system, 'Segoe UI', sans-serif; - } - } -`; - const TabsContainer = styled(Card)` .ant-card-body { padding: 0; @@ -59,6 +32,7 @@ const getTopicTree = (data: DatasetGeneration, topics: string[]) => { const DatasetGenerationTable: React.FC = ({ data, dataset }) => { const topics = get(dataset, 'topics', []); + const technique = get(dataset, 'technique'); const topicTree = getTopicTree(data, topics); let topicTabs = []; @@ -67,7 +41,9 @@ const DatasetGenerationTable: React.FC = ({ data, dataset }) => { key: `${topic}-${i}`, label: {topic}, value: topic, - children: + children: technique !== 'freefoem' ? + : + })); } diff --git a/app/client/src/pages/DatasetDetails/DatasetViewer.tsx b/app/client/src/pages/DatasetDetails/DatasetViewer.tsx new file mode 100644 index 0000000..7db1530 --- /dev/null +++ b/app/client/src/pages/DatasetDetails/DatasetViewer.tsx @@ -0,0 +1,44 @@ +import { FunctionComponent, useEffect } from "react"; +import { Dataset } from '../Evaluator/types'; +import { useMutation } from "@tanstack/react-query"; +import { fetchFileContent } from "../DataGenerator/hooks"; +import get from "lodash/get"; +import isEmpty from "lodash/isEmpty"; +import { Col, Row } from "antd"; +import FreeFormTable from "../DataGenerator/FreeFormTable"; + +interface Props { + dataset: Dataset; +} + + +const DatasetViewer: FunctionComponent = ({ dataset }) => { + const mutation = useMutation({ + mutationFn: fetchFileContent + }); + + useEffect(() => { + const generate_file_name = get(dataset, 'generate_file_name'); + if (!isEmpty(generate_file_name)) { + mutation.mutate({ + path: generate_file_name + }); + } + }, [dataset]); + + + return ( + + +
+ {mutation.isLoading &&

Loading...

} + {mutation.isError &&

Error: {mutation.error}

} + {mutation.isSuccess && ( + + )} +
+ + + ); +} +export default DatasetViewer; \ No newline at end of file diff --git a/app/client/src/pages/DatasetDetails/ExampleModal.tsx b/app/client/src/pages/DatasetDetails/ExampleModal.tsx index 8443537..df3123a 100644 --- a/app/client/src/pages/DatasetDetails/ExampleModal.tsx +++ b/app/client/src/pages/DatasetDetails/ExampleModal.tsx @@ -1,4 +1,4 @@ -import { Flex, Form, Typography } from 'antd'; +import { Flex, Typography } from 'antd'; import styled from 'styled-components'; import Markdown from '../../components/Markdown'; diff --git a/app/client/src/pages/DatasetDetails/ExamplesSection.tsx b/app/client/src/pages/DatasetDetails/ExamplesSection.tsx index aaf5d52..9d1eb02 100644 --- a/app/client/src/pages/DatasetDetails/ExamplesSection.tsx +++ b/app/client/src/pages/DatasetDetails/ExamplesSection.tsx @@ -1,15 +1,12 @@ -import { Collapse, Descriptions, Flex, Modal, Table, Typography } from "antd"; +import { Collapse, Flex, Modal, Table } from "antd"; import styled from "styled-components"; -import Markdown from "../../Markdown"; import { DatasetResponse } from "../../../api/Datasets/response"; import { QuestionSolution } from "../../../pages/DataGenerator/types"; -import { MODEL_PARAMETER_LABELS, ModelParameters, Usecases } from "../../../types"; import { Dataset } from "../../../pages/Evaluator/types"; -import PCModalContent from "../../../pages/DataGenerator/PCModalContent"; import ExampleModal from "./ExampleModal"; +import FreeFormExampleTable from "../DataGenerator/FreeFormExampleTable"; -const { Text, Title } = Typography; const Panel = Collapse.Panel; @@ -41,16 +38,7 @@ const StyledTable = styled(Table)` } `; -const MarkdownWrapper = styled.div` - border: 1px solid #d9d9d9; - border-radius: 6px; - padding: 4px 11px; -`; -const StyledLabel = styled.div` - font-size: 16px; - padding-top: 8px; -`; const StyledCollapse = styled(Collapse)` .ant-collapse-content > .ant-collapse-content-box { @@ -74,6 +62,7 @@ export type DatasetDetailProps = { } const ExamplesSection= ({ datasetDetails }: DatasetDetailProps) => { + const { technique } = datasetDetails; const exampleCols = [ { @@ -99,6 +88,11 @@ const ExamplesSection= ({ datasetDetails }: DatasetDetailProps) => { style={{ padding: 0 }} > + {technique === 'freeform' ? ( + + ) : { }) })} rowKey={(_record, index) => `summary-examples-table-${index}`} - /> - - {/* Model Parameters - ({ - label: MODEL_PARAMETER_LABELS[modelParameterKey as ModelParameters], - children: datasetDetails.model_parameters[modelParameterKey as ModelParameters], - })) - : []}> - - {(datasetDetails.schema && datasetDetails.use_case === Usecases.TEXT2SQL) && ( -
- {'DB Schema'} - - - -
- )} */} - + />} diff --git a/app/client/src/pages/DatasetDetails/TopicGenerationTable.tsx b/app/client/src/pages/DatasetDetails/TopicGenerationTable.tsx index 3626f55..a9c2fc7 100644 --- a/app/client/src/pages/DatasetDetails/TopicGenerationTable.tsx +++ b/app/client/src/pages/DatasetDetails/TopicGenerationTable.tsx @@ -1,7 +1,5 @@ import React, { SyntheticEvent, useEffect } from 'react'; - import { Col, Input, Row, Table } from 'antd'; -import { CustomResult } from '../DataGenerator/types'; import { DatasetGeneration } from '../Home/types'; import throttle from 'lodash/throttle'; import { SearchProps } from 'antd/es/input'; @@ -52,7 +50,7 @@ const TopicGenerationTable: React.FC = ({ results }) => { } ]; - const onSearch: SearchProps['onSearch'] = (value, _e, info) => { + const onSearch: SearchProps['onSearch'] = (value) => { throttle((value: string) => setSearchQuery(value), 500)(value); } diff --git a/app/client/src/pages/DatasetDetails/constants.tsx b/app/client/src/pages/DatasetDetails/constants.tsx index 4faa3b4..4446138 100644 --- a/app/client/src/pages/DatasetDetails/constants.tsx +++ b/app/client/src/pages/DatasetDetails/constants.tsx @@ -1,6 +1,4 @@ -import { HomeOutlined, PageviewOutlined } from '@mui/icons-material'; import AssessmentIcon from '@mui/icons-material/Assessment'; -import CheckCircleIcon from '@mui/icons-material/CheckCircle' import GradingIcon from '@mui/icons-material/Grading'; import ModelTrainingIcon from '@mui/icons-material/ModelTraining'; diff --git a/app/client/src/pages/EvaluationDetails/EvaluationConfigurationTab.tsx b/app/client/src/pages/EvaluationDetails/EvaluationConfigurationTab.tsx index c445348..f4dff95 100644 --- a/app/client/src/pages/EvaluationDetails/EvaluationConfigurationTab.tsx +++ b/app/client/src/pages/EvaluationDetails/EvaluationConfigurationTab.tsx @@ -1,8 +1,6 @@ import { Badge, Col, Flex, Modal, Row, Table, Typography } from "antd"; import { Evaluation } from "../Evaluator/types"; import styled from "styled-components"; -import { QuestionSolution } from "../DataGenerator/types"; -import isEmpty from "lodash/isEmpty"; import ExampleModal from "../DatasetDetails/ExampleModal"; import { getColorCode } from "../Evaluator/util"; diff --git a/app/client/src/pages/EvaluationDetails/EvaluationGenerationTab.tsx b/app/client/src/pages/EvaluationDetails/EvaluationGenerationTab.tsx index d9dfcbd..d2e5a7d 100644 --- a/app/client/src/pages/EvaluationDetails/EvaluationGenerationTab.tsx +++ b/app/client/src/pages/EvaluationDetails/EvaluationGenerationTab.tsx @@ -5,6 +5,7 @@ import { Dataset, Evaluation, EvaluationDetails } from '../Evaluator/types'; import styled from 'styled-components'; import { getTopicMap } from '../Evaluator/util'; import EvaluateTopicTable from '../Evaluator/EvaluateTopicTable'; +import FreeFormEvaluationTable from '../Evaluator/FreeFromEvaluationTable'; interface Props { @@ -18,12 +19,13 @@ const Container = styled.div` background-color: #ffffff; `; -const EvaluationGenerationTab: React.FC = ({ dataset, evaluation, evaluationDetails }) => { +const EvaluationGenerationTab: React.FC = ({ dataset, evaluationDetails }) => { const result = get(evaluationDetails, 'evaluation'); + const isFreeForm = get(dataset, 'technique' , false) === 'freeform'; - let topicTabs: any[] = []; + let topicTabs: unknown[] = []; const { topics, topicMap } = getTopicMap({ result }); - if (dataset.topics !== null && !isEmpty(dataset.topics)) { + if (dataset.topics !== null && !isEmpty(dataset.topics) && !isFreeForm) { topicTabs = topics.map((topicName: string, index: number) => ({ key: `${topicName}-${index}`, label: topicName, @@ -32,7 +34,7 @@ const EvaluationGenerationTab: React.FC = ({ dataset, evaluation, evaluat })); } - if (isEmpty(topicTabs)) { + if (isEmpty(topicTabs) && !isFreeForm) { const values = Object.values(topicMap); return ( @@ -43,6 +45,16 @@ const EvaluationGenerationTab: React.FC = ({ dataset, evaluation, evaluat ); } + if (isFreeForm) { + return ( + + + + + + ); + } + return ( diff --git a/app/client/src/pages/EvaluationDetails/hooks.ts b/app/client/src/pages/EvaluationDetails/hooks.ts index 7438e51..08a70a4 100644 --- a/app/client/src/pages/EvaluationDetails/hooks.ts +++ b/app/client/src/pages/EvaluationDetails/hooks.ts @@ -31,11 +31,7 @@ const fetchEvaluationDetails = async (evaluate_file_name: string) => { queryKey: ['data', fetchEvaluationDetails], queryFn: () => fetchEvaluationDetails(generate_file_name), placeholderData: (previousData) => previousData - }); - - // const dataset = get(data, 'dataset'); - console.log('data:', data); - console.log('error:', error); + }); if (error) { notification.error({ diff --git a/app/client/src/pages/Evaluator/EvaluateExampleTable.tsx b/app/client/src/pages/Evaluator/EvaluateExampleTable.tsx index 6a8761a..53cf280 100644 --- a/app/client/src/pages/Evaluator/EvaluateExampleTable.tsx +++ b/app/client/src/pages/Evaluator/EvaluateExampleTable.tsx @@ -5,7 +5,7 @@ import { Dataset, EvaluateExample, EvaluateExampleRecord } from "./types"; import React, { useEffect, useState } from 'react'; -import { DeleteOutlined, EditOutlined, Add } from "@mui/icons-material"; +import { DeleteOutlined, EditOutlined } from "@mui/icons-material"; import TooltipIcon from "../../components/TooltipIcon"; import StyledTitle from "./StyledTitle"; import styled from "styled-components"; @@ -79,7 +79,7 @@ const EvaluateExampleTable: React.FC = ({ examples, form }) => { } const onDelete = (index: number) => { - let _promptExamples = clone(evaluateExamples); + const _promptExamples = clone(evaluateExamples); pullAt(_promptExamples, index); setEvaluateExamples(_promptExamples); } @@ -142,7 +142,7 @@ const EvaluateExampleTable: React.FC = ({ examples, form }) => { - diff --git a/app/client/src/pages/Evaluator/EvaluatorPage.tsx b/app/client/src/pages/Evaluator/EvaluatorPage.tsx index b1f9abb..9864420 100644 --- a/app/client/src/pages/Evaluator/EvaluatorPage.tsx +++ b/app/client/src/pages/Evaluator/EvaluatorPage.tsx @@ -1,8 +1,6 @@ import get from 'lodash/get'; -import set from 'lodash/set'; import isEmpty from 'lodash/isEmpty'; import React, { useEffect, useState } from 'react'; -import { useMutation } from '@tanstack/react-query'; import { useParams } from 'react-router-dom'; import { ModelParameters } from '../../types'; import { Button, Form, FormInstance, Result } from 'antd'; @@ -34,7 +32,7 @@ const EvaluatorPage: React.FC = () => { const values = form.getFieldsValue(); form.setFieldsValue({ ...values, - custom_prompt: '' || prompt, + custom_prompt: prompt || '', top_p: get(parameters, 'top_p'), top_k: get(parameters, 'top_k'), min_p: get(parameters, 'min_p'), @@ -48,16 +46,18 @@ const EvaluatorPage: React.FC = () => { } }, [dataset]); -const mutation = useMutation(async (formData) => { - const response = await fetch(`${BASE_API_URL}/synthesis/evaluate`, { - method: 'POST', - body: JSON.stringify(formData), - }); - return response.json(); - }); +// const mutation = useMutation(async (formData) => { +// const response = await fetch(`${BASE_API_URL}/synthesis/evaluate`, { +// method: 'POST', +// body: JSON.stringify(formData), +// }); +// return response.json(); +// }); -const evaluateDataset = async (formData: any) => { - const response = await fetch(`${BASE_API_URL}/synthesis/evaluate`, { +const evaluateDataset = async (formData: unknown) => { + const url = dataset.technique === 'freeforms' ? + `${BASE_API_URL}/synthesis/evaluate` : `${BASE_API_URL}/synthesis/evaluate_freeform`; + const response = await fetch(url, { method: 'POST', headers: { 'Content-Type': 'application/json', diff --git a/app/client/src/pages/Evaluator/EvaluatorSuccess.tsx b/app/client/src/pages/Evaluator/EvaluatorSuccess.tsx index 06ece55..106c43d 100644 --- a/app/client/src/pages/Evaluator/EvaluatorSuccess.tsx +++ b/app/client/src/pages/Evaluator/EvaluatorSuccess.tsx @@ -1,6 +1,6 @@ import get from 'lodash/get'; import isEmpty from 'lodash/isEmpty'; -import React, { useState } from 'react'; +import React from 'react'; import { Link } from 'react-router-dom'; import { Avatar, Button, Card, Flex, Layout, List, Tabs, Typography } from 'antd'; import CheckCircleIcon from '@mui/icons-material/CheckCircle'; @@ -13,13 +13,14 @@ import { getProjectJobsUrl } from './hooks'; import { Dataset } from './types'; import { WorkflowType } from '../DataGenerator/types'; import SeedEvaluateTable from './SeedEvaluateTable'; +import FreeFromEvaluationTable from './FreeFromEvaluationTable'; const { Content } = Layout; const { Title } = Typography; interface Props { - result: any; + result: unknown; demo: boolean; dataset: Dataset; } @@ -40,10 +41,13 @@ const StyleContent = styled(Content)` const EvaluatorSuccess: React.FC = ({ result, dataset, demo }) => { - const hasTopics = (result: any) => { - return !Array.isArray(result?.results) + const hasTopics = (result: unknown) => { + return !Array.isArray(result?.results); } + const isFreeForm = (dataset: Dataset) => + dataset?.technique === 'freeform'; + const hasCustomSeed = (_dataset: Dataset) => (_dataset?.technique === 'sft' && !isEmpty(_dataset?.doc_paths)) || (_dataset?.technique === WorkflowType.CUSTOM_DATA_GENERATION && !isEmpty(_dataset?.input_path)) @@ -88,9 +92,14 @@ const EvaluatorSuccess: React.FC = ({ result, dataset, demo }) => { {'Your dataset evaluation was successfully generated. You can review your evaluation in the table below.'} - {!isCustom && !isEmpty(topicTabs) && - - } + {!isCustom && !isEmpty(topicTabs) && !isFreeForm(dataset) && + + + } + {isFreeForm(dataset) && + + + } } {isCustom && <> diff --git a/app/client/src/pages/Evaluator/FreeFromEvaluationTable.tsx b/app/client/src/pages/Evaluator/FreeFromEvaluationTable.tsx new file mode 100644 index 0000000..6e905a8 --- /dev/null +++ b/app/client/src/pages/Evaluator/FreeFromEvaluationTable.tsx @@ -0,0 +1,140 @@ +import first from 'lodash/first'; +import isEmpty from 'lodash/isEmpty'; +import React, { useCallback, useEffect, useMemo, useState } from 'react'; +import { AgGridReact } from 'ag-grid-react'; +import Paragraph from 'antd/es/typography/Paragraph'; +// import { TextFilterModule } from 'ag-grid-community'; +// import { NumberFilterModule } from 'ag-grid-community'; +// import { DateFilterModule } from 'ag-grid-community'; +import { + // ModuleRegistry, + // ClientSideRowModelModule, + // ValidationModule, + type ColDef, + type GetRowIdFunc, + type GetRowIdParams + } from 'ag-grid-community'; + + import { themeMaterial } from "ag-grid-community"; +import get from 'lodash/get'; +import { getColorCode } from './util'; +import { Badge, Popover, Tooltip } from 'antd'; +import styled from 'styled-components'; + +interface Props { + data: unknown[]; +} + +const StyledParagraph = styled(Paragraph)` + font-size: 13px; + font-family: Roboto, -apple-system, 'Segoe UI', sans-serif; + color: #5a656d; +`; + +const FreeFormEvaluationTable: React.FC = ({ data }) => { + const [colDefs, setColDefs] = useState([]); + const [rowData, setRowData] = useState([]); + + useEffect(() => { + if (!isEmpty(data)) { + const rows = data.map((item) => { + const row = get(item, 'row'); + return { + score: get(item, 'evaluation.score'), + justification: get(item, 'evaluation.justification'), + ...row + } + + }); + + const columnNames = Object.keys(first(rows)); + const columnDefs = columnNames.map((colName) => { + const columnDef = { + field: colName, + headerName: colName, + width: 250, + filter: true, + sortable: true, + resizable: true + } + if (colName === 'score') { + columnDef['width'] = 120 + columnDef['cellRenderer'] = (params: unknown) => { + return + } + } else if (colName === 'justification') { + columnDef['cellRenderer'] = (params: unknown) => ( + + + {params.value} + + + ); + } + + return columnDef; + }); + setColDefs(columnDefs); + setRowData(rows); + } + }, [data]); + + const defaultColDef: ColDef = useMemo( + () => ({ + flex: 1, + filter: true, + enableRowGroup: true, + enableValue: true, + editable: true, + minWidth: 170 + }), + [] + ); + + let index = 0; + const getRowId = useCallback( + ({ data: { ticker } }: GetRowIdParams) => { + index++; + return ticker || toString(index); + }, + [] + ); + + const statusBar = useMemo( + () => ({ + statusPanels: [ + { statusPanel: "agTotalAndFilteredRowCountComponent" }, + { statusPanel: "agTotalRowCountComponent" }, + { statusPanel: "agFilteredRowCountComponent" }, + { statusPanel: "agSelectedRowCountComponent" }, + { statusPanel: "agAggregationComponent" }, + ], + }), + [] + ); + + + return ( + <> +
+ +
+ + ); +} + +export default FreeFormEvaluationTable; \ No newline at end of file diff --git a/app/client/src/pages/Evaluator/GeneratedEvaluationModal.tsx b/app/client/src/pages/Evaluator/GeneratedEvaluationModal.tsx index 3df4f4e..057fcc0 100644 --- a/app/client/src/pages/Evaluator/GeneratedEvaluationModal.tsx +++ b/app/client/src/pages/Evaluator/GeneratedEvaluationModal.tsx @@ -2,14 +2,12 @@ import get from 'lodash/get'; import isString from 'lodash/isString'; import React from 'react'; import { EvaluatedPair } from "./types"; -import { Badge, Button, Flex, Layout, Modal, Tooltip } from 'antd'; +import { Badge, Button, Flex, Modal, Tooltip } from 'antd'; import { QuestionCircleOutlined } from '@ant-design/icons'; import styled from 'styled-components'; import Markdown from '../../components/Markdown'; import { getColorCode } from './util'; -const { Content } = Layout; - interface Props { evaluatedPair: EvaluatedPair; onClose: () => void; diff --git a/app/client/src/pages/Evaluator/ReevaluatorPage.tsx b/app/client/src/pages/Evaluator/ReevaluatorPage.tsx index 8d9e841..d8f3a97 100644 --- a/app/client/src/pages/Evaluator/ReevaluatorPage.tsx +++ b/app/client/src/pages/Evaluator/ReevaluatorPage.tsx @@ -21,8 +21,7 @@ const ReevaluatorPage: React.FC = () => { evaluate, dataset, prompt, - examples, - isLoading + examples } = useGetEvaluate(evaluate_file_name as string); const modelsReq = useModels(); @@ -33,9 +32,8 @@ const ReevaluatorPage: React.FC = () => { useEffect(() => { if (!isEmpty(evaluate)) { const parameters: ModelParameters = get(evaluate, 'model_parameters'); - console.log('parameters', parameters); const values = form.getFieldsValue(); - console.log('prompt', prompt); + form.setFieldsValue({ ...values, display_name: get(evaluate, 'display_name'), @@ -52,7 +50,7 @@ const ReevaluatorPage: React.FC = () => { } }, [evaluate]); - const evaluateDataset = async (formData: any) => { + const evaluateDataset = async (formData: unknown) => { const response = await fetch(`${BASE_API_URL}/synthesis/evaluate`, { method: 'POST', headers: { diff --git a/app/client/src/pages/Evaluator/SeedEvaluateTable.tsx b/app/client/src/pages/Evaluator/SeedEvaluateTable.tsx index 668667c..9b9f877 100644 --- a/app/client/src/pages/Evaluator/SeedEvaluateTable.tsx +++ b/app/client/src/pages/Evaluator/SeedEvaluateTable.tsx @@ -6,7 +6,7 @@ import { getColorCode } from './util'; import { Badge, Table } from 'antd'; interface Props { - results: any; + results: unknown; } const SeedEvaluateTable: React.FC = ({ results }) => { @@ -17,10 +17,10 @@ const SeedEvaluateTable: React.FC = ({ results }) => { } const seeds = Object.values(result); const data = []; - forEach(seeds, (seed: any) => { + forEach(seeds, (seed: unknown) => { const pairs = get(seed, `evaluated_pairs`); if (Array.isArray(pairs)) { - forEach(pairs, (pair: any) => { + forEach(pairs, (pair: unknown) => { data.push({ seed, question: get(pair, `question`), diff --git a/app/client/src/pages/Home/DatasetsTab.tsx b/app/client/src/pages/Home/DatasetsTab.tsx index 84b54ea..0149df5 100644 --- a/app/client/src/pages/Home/DatasetsTab.tsx +++ b/app/client/src/pages/Home/DatasetsTab.tsx @@ -86,7 +86,7 @@ const DatasetsTab: React.FC = () => { } }, [exportResult, notificationInstance]) - const onSearch: SearchProps['onSearch'] = (value, _e, info) => { + const onSearch: SearchProps['onSearch'] = (value: unknown) => { throttle((value: string) => setSearchQuery(value), 500)(value); } @@ -116,12 +116,14 @@ const DatasetsTab: React.FC = () => { title: 'Dataset Name', dataIndex: 'generate_file_name', sorter: sortItemsByKey('generate_file_name'), + width: 250, render: (generate_file_name) => {generate_file_name} }, { key: 'model_id', title: 'Model', dataIndex: 'model_id', sorter: sortItemsByKey('model_id'), + width: 250, render: (modelId) => {modelId} }, { key: 'num_questions', diff --git a/app/client/src/pages/Home/EvaluateButton.tsx b/app/client/src/pages/Home/EvaluateButton.tsx index 4cb5d32..f9ea18a 100644 --- a/app/client/src/pages/Home/EvaluateButton.tsx +++ b/app/client/src/pages/Home/EvaluateButton.tsx @@ -8,7 +8,6 @@ import { isEmpty } from "lodash"; import { Dataset } from "../Evaluator/types"; import { Pages } from "../../types"; -const { Option } = Select; const EvaluateButton: React.FC = () => { const [form] = Form.useForm(); @@ -40,7 +39,7 @@ const EvaluateButton: React.FC = () => { } } - const options = datasets.map((dataset: any) => ({ + const options = datasets.map((dataset: unknown) => ({ value: dataset.display_name, label: dataset.display_name, key: `${dataset?.display_name}-${dataset?.generate_file_name}` diff --git a/app/client/src/pages/Home/EvaluationsTab.tsx b/app/client/src/pages/Home/EvaluationsTab.tsx index 62e8510..36b786f 100644 --- a/app/client/src/pages/Home/EvaluationsTab.tsx +++ b/app/client/src/pages/Home/EvaluationsTab.tsx @@ -65,7 +65,7 @@ const EvaluationsTab: React.FC = () => { } }, [isError]); - const onSearch: SearchProps['onSearch'] = (value, _e, info) => { + const onSearch: SearchProps['onSearch'] = (value: unknown) => { throttle((value: string) => setSearchQuery(value), 500)(value); } diff --git a/app/client/src/pages/Home/hooks.ts b/app/client/src/pages/Home/hooks.ts index b588282..dee238e 100644 --- a/app/client/src/pages/Home/hooks.ts +++ b/app/client/src/pages/Home/hooks.ts @@ -38,7 +38,7 @@ export const useDatasets = () => { } ); if (searchQuery !== null && !isEmpty(searchQuery)) { - const filteredData = data?.datasets.filter((dataset: any) => { + const filteredData = data?.datasets.filter((dataset: unknown) => { return dataset.display_name.toLowerCase().includes(searchQuery.toLowerCase()); }); @@ -71,7 +71,7 @@ export const useEvaluations = () => { } ); if (searchQuery !== null && !isEmpty(searchQuery)) { - const filteredData = data?.evaluations.filter((evaluation: any) => { + const filteredData = data?.evaluations.filter((evaluation: unknown) => { return evaluation.display_name.toLowerCase().includes(searchQuery.toLowerCase()); }); diff --git a/app/client/src/utils/sortutils.ts b/app/client/src/utils/sortutils.ts index 396e14d..1754c7e 100644 --- a/app/client/src/utils/sortutils.ts +++ b/app/client/src/utils/sortutils.ts @@ -1,5 +1,5 @@ type Key = string | number; -type Item = { [x: string]: any }; +type Item = { [x: string]: unknown }; /** * Helper function to use as a comparer when sorting an array of items based on a key in the item. diff --git a/build/shell_scripts/build_client.sh b/build/shell_scripts/build_client.sh index d70a30c..2a0e6bb 100644 --- a/build/shell_scripts/build_client.sh +++ b/build/shell_scripts/build_client.sh @@ -16,6 +16,7 @@ fi # Activate virtual environment - using relative path source .venv/bin/activate +export NODE_OPTIONS=--max-old-space-size=16384 # Build frontend cd "$CLIENT_DIR" rm -rf node_modules/ From 6f5a22bb8d350552e923de67d31b1a504dd19a3f Mon Sep 17 00:00:00 2001 From: Keivan Vosoughi Date: Tue, 13 May 2025 23:05:57 -0700 Subject: [PATCH 06/17] Fix for SFT Examples Validation --- app/client/src/pages/DataGenerator/Examples.tsx | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/app/client/src/pages/DataGenerator/Examples.tsx b/app/client/src/pages/DataGenerator/Examples.tsx index b64fbb7..cb57a01 100644 --- a/app/client/src/pages/DataGenerator/Examples.tsx +++ b/app/client/src/pages/DataGenerator/Examples.tsx @@ -89,13 +89,15 @@ const Examples: React.FC = () => { const { setIsStepValid } = useWizardCtx(); const _values = Form.useWatch(['examples', 'example_path'], form); useEffect (() => { - const values = form.getFieldsValue(); - if (isEmpty(values.examples) && isEmpty(form.getFieldValue('example_path'))) { + const values = form.getFieldsValue(true); + console.log(form.getFieldValue('example_path')) + if ((isEmpty(values.examples) && values.workflow_type !== 'freeform') || + (values.workflow_type === 'freeform' && isEmpty(form.getFieldValue('example_path')))) { setIsStepValid(false); } else { setIsStepValid(true); } - }, [_values, form.getFieldValue('example_path')]); + }, [_values, form.getFieldValue('example_path'), form.getFieldValue('examples')]); const columns = [ { From ba7a9ce51ed16f159c69c11cd7e6b17843224c0d Mon Sep 17 00:00:00 2001 From: Keivan Vosoughi Date: Wed, 14 May 2025 22:43:43 -0700 Subject: [PATCH 07/17] Fix for Examples Validation --- app/client/src/pages/DataGenerator/Examples.tsx | 16 +--------------- 1 file changed, 1 insertion(+), 15 deletions(-) diff --git a/app/client/src/pages/DataGenerator/Examples.tsx b/app/client/src/pages/DataGenerator/Examples.tsx index cb57a01..f5ce02a 100644 --- a/app/client/src/pages/DataGenerator/Examples.tsx +++ b/app/client/src/pages/DataGenerator/Examples.tsx @@ -15,7 +15,6 @@ import FileSelectorButton from './FileSelectorButton'; import { fetchFileContent } from './hooks'; import { useState } from 'react'; import FreeFormExampleTable from './FreeFormExampleTable'; -import { useWizardCtx } from './utils'; const { Title } = Typography; const Container = styled.div` @@ -84,20 +83,7 @@ const Examples: React.FC = () => { if (!isEmpty(mutation.data)) { form.setFieldValue('examples', mutation.data); } - }, [mutation.data]); - - const { setIsStepValid } = useWizardCtx(); - const _values = Form.useWatch(['examples', 'example_path'], form); - useEffect (() => { - const values = form.getFieldsValue(true); - console.log(form.getFieldValue('example_path')) - if ((isEmpty(values.examples) && values.workflow_type !== 'freeform') || - (values.workflow_type === 'freeform' && isEmpty(form.getFieldValue('example_path')))) { - setIsStepValid(false); - } else { - setIsStepValid(true); - } - }, [_values, form.getFieldValue('example_path'), form.getFieldValue('examples')]); + }, [mutation.data]); const columns = [ { From 0eec14ea5e643c8ed5bd17a5ebcaae8c297c78fa Mon Sep 17 00:00:00 2001 From: Khauneesh-AI Date: Fri, 16 May 2025 15:32:47 +0530 Subject: [PATCH 08/17] build client with extended time limit for uv --- build/build_client.py | 32 +- build/shell_scripts/build_client.sh | 37 +- pyproject.toml | 3 +- uv.lock | 888 +++++++++++++++++++++++++++- 4 files changed, 894 insertions(+), 66 deletions(-) diff --git a/build/build_client.py b/build/build_client.py index baf8323..42e7843 100644 --- a/build/build_client.py +++ b/build/build_client.py @@ -3,7 +3,6 @@ import sys from pathlib import Path -PROJECT_ROOT = Path.cwd() # Check if we're in a composable environment if os.getenv("IS_COMPOSABLE"): @@ -20,36 +19,11 @@ from app.core.path_manager import PathManager path_manager = PathManager() -# Ensure uv is installed -def ensure_uv_installed(): - try: - subprocess.run(["uv", "--version"], check=True, capture_output=True) - except (subprocess.CalledProcessError, FileNotFoundError): - subprocess.run(["curl -LsSf https://astral.sh/uv/install.sh | sh"], shell=True, check=True) - os.environ["PATH"] = f"{os.environ['HOME']}/.cargo/bin:{os.environ['PATH']}" -# Setup virtual environment and dependencies -def setup_environment(): - # project_root = path_manager.root_dir - # print("path_root: ", project_root) - venv_dir = PROJECT_ROOT / ".venv" - - # Create venv if it doesn't exist - specifying the path explicitly - if not venv_dir.exists(): - subprocess.run(["uv", "venv", ".venv"], cwd=PROJECT_ROOT, check=True) - - # Install dependencies with uv pip instead of sync to avoid pyproject.toml parsing issues - subprocess.run(["uv", "pip", "install", "-e", "."], cwd=PROJECT_ROOT, check=True) # Main execution with path_manager.in_project_directory(): - # Ensure uv is installed - ensure_uv_installed() +# Execute the start application script + subprocess.run(["bash build/shell_scripts/start_application.sh"], shell=True, check=True) - # Setup virtual environment and dependencies - setup_environment() - - # Execute the build client script - subprocess.run(["bash build/shell_scripts/build_client.sh"], shell=True, check=True) - -print("Client application built successfully") \ No newline at end of file +print("Application running") \ No newline at end of file diff --git a/build/shell_scripts/build_client.sh b/build/shell_scripts/build_client.sh index 2a0e6bb..dc289f3 100644 --- a/build/shell_scripts/build_client.sh +++ b/build/shell_scripts/build_client.sh @@ -1,11 +1,33 @@ #!/bin/bash set -eox pipefail -# We're already in the project root directory thanks to PathManager -CLIENT_DIR="app/client" +# Set UV timeout for slow networks +export UV_HTTP_TIMEOUT=3600 + +# Ensure uv is installed +if ! command -v uv &> /dev/null; then + echo "Installing uv package manager..." + curl -LsSf https://astral.sh/uv/install.sh | sh + export PATH="$HOME/.cargo/bin:$PATH" +fi + +# Setup virtual environment and dependencies +VENV_DIR=".venv" +if [ ! -d "$VENV_DIR" ]; then + echo "Creating virtual environment..." + uv venv "$VENV_DIR" +fi + +# Install dependencies with uv pip +echo "Installing Python dependencies..." +uv sync --all-extras + +# Activate virtual environment +source "$VENV_DIR/bin/activate" # Setup Node.js if ! command -v node &> /dev/null || [ "$(node -v | cut -d. -f1 | tr -d 'v')" -lt 16 ]; then + echo "Setting up Node.js..." wget -qO- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.1/install.sh | bash export NVM_DIR="$HOME/.nvm" [ -s "$NVM_DIR/nvm.sh" ] && \. "$NVM_DIR/nvm.sh" @@ -13,12 +35,13 @@ if ! command -v node &> /dev/null || [ "$(node -v | cut -d. -f1 | tr -d 'v')" -l nvm use 20 fi -# Activate virtual environment - using relative path -source .venv/bin/activate - -export NODE_OPTIONS=--max-old-space-size=16384 # Build frontend +echo "Building frontend..." +CLIENT_DIR="app/client" +export NODE_OPTIONS=--max-old-space-size=16384 cd "$CLIENT_DIR" rm -rf node_modules/ npm install -npm run build \ No newline at end of file +npm run build + +echo "Build completed successfully!" \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 46a3a38..f051f28 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ build-backend = "hatchling.build" name = "amp_synthetic_data_studio" version = "0.1.0" description = "Synthetic Data Studio Project" -requires-python = "==3.10" +requires-python = ">=3.10" dependencies = [ # ── existing ───────────────────────────────────────────── "fastapi==0.109.2", @@ -14,6 +14,7 @@ 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solving builc client bug --- .gitignore | 1 + build/build_client.py | 15 +++++++-------- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/.gitignore b/.gitignore index c08e1e9..7342092 100644 --- a/.gitignore +++ b/.gitignore @@ -4,6 +4,7 @@ metadata.db document_upload test.json cml_test.ipynb +practice.ipynb /app/khauneesh_test.ipynb .env *.pyc diff --git a/build/build_client.py b/build/build_client.py index 42e7843..22f9b49 100644 --- a/build/build_client.py +++ b/build/build_client.py @@ -3,11 +3,11 @@ import sys from pathlib import Path +PROJECT_ROOT = Path.cwd() # Check if we're in a composable environment if os.getenv("IS_COMPOSABLE"): # If composable, change to the specified directory - PROJECT_ROOT = Path("/home/cdsw/synthetic-data-studio") else: # Otherwise, use the current directory as the project root @@ -15,15 +15,14 @@ # Add project root to Python path sys.path.insert(0, str(PROJECT_ROOT)) + # Import PathManager from app.core.path_manager import PathManager path_manager = PathManager() - - -# Main execution +# Main execution - just call the shell script that does everything with path_manager.in_project_directory(): -# Execute the start application script - subprocess.run(["bash build/shell_scripts/start_application.sh"], shell=True, check=True) - -print("Application running") \ No newline at end of file + # Execute the comprehensive build client script + subprocess.run(["bash build/shell_scripts/build_client.sh"], shell=True, check=True) + +print("Client application built successfully") \ No newline at end of file From c7e536391a4ecf3528401695ca408ab82f40b3f8 Mon Sep 17 00:00:00 2001 From: Khauneesh-AI Date: Mon, 19 May 2025 20:36:59 +0530 Subject: [PATCH 10/17] project data null values as default for CDP --- .project-metadata.yaml | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/.project-metadata.yaml b/.project-metadata.yaml index 75b1abc..b6f206b 100644 --- a/.project-metadata.yaml +++ b/.project-metadata.yaml @@ -23,16 +23,17 @@ environment_variables: description: >- AWS region hf_token: - default: "your huggingface token" + default: "hf_token" description: >- - hf_token + your huggingface token hf_username: - default: "your huggingface username" + default: "hf_username" description: >- - hf_username + your huggingface username CDP_TOKEN: - default: "API key for Cloudera AI Inference" + default: null description: >- + API key for Cloudera AI Inference CDP_TOKEN From 3ac304fc7b068aae8f4d2c662d49554f159811b5 Mon Sep 17 00:00:00 2001 From: Khauneesh-AI Date: Mon, 19 May 2025 20:41:29 +0530 Subject: [PATCH 11/17] changed status for CDP null token --- .project-metadata.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.project-metadata.yaml b/.project-metadata.yaml index b6f206b..0625d0b 100644 --- a/.project-metadata.yaml +++ b/.project-metadata.yaml @@ -34,7 +34,7 @@ environment_variables: default: null description: >- API key for Cloudera AI Inference - CDP_TOKEN + From dbdf41c6e84845232fb1f2bdeadf418a25ecb3cf Mon Sep 17 00:00:00 2001 From: Khauneesh-AI Date: Thu, 22 May 2025 17:11:27 +0530 Subject: [PATCH 12/17] model endpoints supported and health check for CAII --- app/core/model_endpoints.py | 221 ++++++++++++++++++++++++++++ app/main.py | 279 ++++-------------------------------- 2 files changed, 247 insertions(+), 253 deletions(-) create mode 100644 app/core/model_endpoints.py diff --git a/app/core/model_endpoints.py b/app/core/model_endpoints.py new file mode 100644 index 0000000..d188edf --- /dev/null +++ b/app/core/model_endpoints.py @@ -0,0 +1,221 @@ +import os, json, asyncio, requests, boto3 +from typing import List, Tuple, Dict +from typing import TypedDict +from botocore.config import Config +from fastapi import APIRouter, HTTPException, status +from app.models.request_models import ModelParameters +from app.core.model_handlers import UnifiedModelHandler +from app.core.config import _get_caii_token, caii_check # already supplied helpers + + + +# ──────────────────────────────────────────────────────────────── +# Shared config ─ region + retry config for Bedrock +# ──────────────────────────────────────────────────────────────── +_REGION = os.getenv("AWS_REGION") or os.getenv("AWS_DEFAULT_REGION") or "us-west-2" +_RETRY_CFG = Config(region_name=_REGION, + retries={"max_attempts": 2, "mode": "standard"}) + +# Minimum tokens so health checks stay cheap +_MIN_PARAMS = ModelParameters(max_tokens=10, temperature=0, top_p=1, top_k=1) + + +# ──────────────────────────────────────────────────────────────── +# Utils +# ──────────────────────────────────────────────────────────────── +def sort_unique_models(models: List[str]) -> List[str]: + """Drop dups *and* sort newest-looking versions first (crude but works).""" + def key(name: str) -> Tuple[float, str]: + base = name.split('.')[-1] + parts = base.split('-') + + ver = next((p[1:] for p in parts if p.startswith("v") and any(c.isdigit() for c in p)), "0") + ver = ver.split(':')[0] if ':' in ver else ver + date = next((p for p in parts if p.isdigit() and len(p) == 8), "00000000") + return float(ver), date + + seen, out = set(), [] + for m in models: + base = m.split('.')[-1] + if base not in seen: + seen.add(base); out.append(m) + return sorted(out, key=key, reverse=True) + + +# ──────────────────────────────────────────────────────────────── +# Bedrock helpers +# ──────────────────────────────────────────────────────────────── +def _bedrock_clients(): + return ( + boto3.client("bedrock", region_name=_REGION, config=_RETRY_CFG), + boto3.client("bedrock-runtime", region_name=_REGION, config=_RETRY_CFG), + ) + + +def list_bedrock_models() -> List[str]: + client_s = boto3.client("bedrock", region_name=_REGION, config=_RETRY_CFG) + try: + resp = client_s.list_foundation_models() + mod_list = [ + m["modelId"] for m in resp["modelSummaries"] + if "ON_DEMAND" in m["inferenceTypesSupported"] + and "TEXT" in m["inputModalities"] + and "TEXT" in m["outputModalities"] + and m["providerName"] in ("Anthropic", "Meta", "Mistral AI") + ] + + # Handle inference profile models + inference_mod_list = [] + try: + prof = client_s.list_inference_profiles() + if "inferenceProfileSummaries" in prof: + inference_mod_list = [ + p["inferenceProfileId"] + for p in prof["inferenceProfileSummaries"] + if any(k in p["inferenceProfileId"].lower() + for k in ("meta", "anthropic", "mistral")) + ] + except client_s.exceptions.ResourceNotFoundException: + inference_mod_list = [] + except client_s.exceptions.ValidationException as e: + print(f"Validation error: {str(e)}") + inference_mod_list = [] + except client_s.exceptions.AccessDeniedException as e: + print(f"Access denied: {str(e)}") + inference_mod_list = [] + except client_s.exceptions.ThrottlingException as e: + print(f"Request throttled: {str(e)}") + inference_mod_list = [] + except client_s.exceptions.InternalServerException as e: + print(f"Bedrock internal error: {str(e)}") + inference_mod_list = [] + except Exception as e: + print(f"Unexpected error while getting inference profiles: {str(e)}") + inference_mod_list = [] + + return sort_unique_models(mod_list + inference_mod_list) + + except client_s.exceptions.ValidationException as e: + print(f"Validation error: {str(e)}") + raise + except client_s.exceptions.AccessDeniedException as e: + print(f"Access denied: {str(e)}") + raise + except client_s.exceptions.ThrottlingException as e: + print(f"Request throttled: {str(e)}") + raise + except client_s.exceptions.InternalServerException as e: + print(f"Bedrock internal error: {str(e)}") + raise + except Exception as e: + print(f"Unexpected error occurred: {str(e)}") + raise + + + +async def _probe_bedrock(model_id: str, runtime) -> Tuple[str, bool]: + handler = UnifiedModelHandler(model_id=model_id, + bedrock_client=runtime, + model_params=_MIN_PARAMS) + try: + await asyncio.wait_for( + asyncio.to_thread(handler.generate_response, + "Return HEALTHY if you can process this message.", + False), + timeout=5 + ) + return model_id, True + except Exception: + return model_id, False + + +async def health_bedrock(models: List[str], + concurrency: int = 10) -> Tuple[List[str], List[str]]: + _, runtime = _bedrock_clients() + sem = asyncio.Semaphore(concurrency) + + async def bound(mid: str): + async with sem: + return await _probe_bedrock(mid, runtime) + + results = await asyncio.gather(*(bound(m) for m in models)) + enabled = [m for m, ok in results if ok] + disabled = [m for m, ok in results if not ok] + return enabled, disabled + + +# ──────────────────────────────────────────────────────────────── +# CAII helpers (only used on-cluster) +# ──────────────────────────────────────────────────────────────── +class _CaiiPair(TypedDict): + model: str + endpoint: str + + +def list_caii_models() -> list[_CaiiPair]: + """ + Return loaded TEXT_GENERATION endpoints as + {"model": name, "endpoint": url} dicts. + """ + import cmlapi, cml.endpoints_v1 as cmlendpoints # heavy imports only when needed + api = cmlapi.default_client() + apps = api.list_ml_serving_apps() + + filt = {"filters": [ + {"key": "task", "value": "TEXT_GENERATION"}, + {"key": "state", "value": "Loaded"}, + ]} + _, eps = cmlendpoints.list_endpoints(apps, filt) + + return [{"model": e["model_name"], "endpoint": e["url"]} for e in eps] + + +async def _probe_caii(pair: _CaiiPair) -> tuple[_CaiiPair, bool]: + try: + await asyncio.to_thread(caii_check, pair["endpoint"], 3) + return pair, True + except HTTPException: + return pair, False + + +async def health_caii(pairs: list[_CaiiPair], + concurrency: int = 5) -> tuple[list[_CaiiPair], list[_CaiiPair]]: + sem = asyncio.Semaphore(concurrency) + + async def bound(p: _CaiiPair): + async with sem: + return await _probe_caii(p) + + results = await asyncio.gather(*(bound(p) for p in pairs)) + enabled = [p for p, ok in results if ok] + disabled = [p for p, ok in results if not ok] + return enabled, disabled + + +# ──────────────────────────────────────────────────────────────── +# Single orchestrator used by the api endpoint +# ──────────────────────────────────────────────────────────────── +async def collect_model_catalog() -> Dict[str, Dict[str, List[str]]]: + # Bedrock first + bedrock_all = list_bedrock_models() + bedrock_enabled, bedrock_disabled = await health_bedrock(bedrock_all) + + catalog: Dict[str, Dict[str, List[str]]] = { + "aws_bedrock": { + "enabled": bedrock_enabled, + "disabled": bedrock_disabled, + } + } + + if os.getenv("CDSW_PROJECT_ID", "local") != "local": + caii_all = list_caii_models() + caii_enabled, caii_disabled = await health_caii(caii_all) + catalog["CAII"] = { + "enabled": caii_enabled, # list[{"model":…, "endpoint":…}] + "disabled": caii_disabled, + } + else: + catalog["CAII"] = {} + + return catalog + diff --git a/app/main.py b/app/main.py index 701c0c9..60b1926 100644 --- a/app/main.py +++ b/app/main.py @@ -26,6 +26,7 @@ import json import uuid from fastapi.encoders import jsonable_encoder + from fastapi import Query @@ -55,6 +56,7 @@ from app.migrations.alembic_manager import AlembicMigrationManager from app.core.config import responses, caii_check from app.core.path_manager import PathManager +from app.core.model_endpoints import collect_model_catalog, sort_unique_models, list_bedrock_models # from app.core.telemetry_middleware import TelemetryMiddleware # from app.routes.telemetry_routes import router as telemetry_router @@ -661,277 +663,48 @@ async def create_custom_prompt(request: CustomPromptRequest, request_id = None): raise HTTPException(status_code=500, detail=str(e)) -def sort_unique_models(model_list): - def get_sort_key(model_name): - # Strip any provider prefix - name = model_name.split('.')[-1] if '.' in model_name else model_name - parts = name.split('-') - - # Extract version - version = '0' - for part in parts: - if part.startswith('v') and any(c.isdigit() for c in part): - version = part[1:] - if ':' in version: - version = version.split(':')[0] - - # Extract date - date = '00000000' - for part in parts: - if len(part) == 8 and part.isdigit(): - date = part - - return (float(version), date) - - # Remove duplicates while preserving original names - unique_models = set() - filtered_models = [] - for model in model_list: - base_name = model.split('.')[-1] if '.' in model else model - if base_name not in unique_models: - unique_models.add(base_name) - filtered_models.append(model) - - return sorted(filtered_models, key=get_sort_key, reverse=True) + @app.get("/model/model_ID", include_in_schema=True) async def get_model_id(): - region = os.environ.get("AWS_REGION", os.environ.get("AWS_DEFAULT_REGION")) - new_target_region = "us-west-2" - retry_config = Config( - region_name=new_target_region, - retries={ - "max_attempts": 2, - "mode": "standard", - }, - ) + try: + bedrock_list = list_bedrock_models() - + except Exception as e: + print(f"Error while listing Bedrock models: {str(e)}") + bedrock_list = [] - try: - client_s = boto3.client(service_name="bedrock", region_name=region, config=retry_config) - - # Get foundation models - response = client_s.list_foundation_models() - all_models = response['modelSummaries'] - - mod_list = [m['modelId'] - for m in all_models - if 'ON_DEMAND' in m['inferenceTypesSupported'] - and 'TEXT' in m['inputModalities'] - and 'TEXT' in m['outputModalities'] - and m['providerName'] in ['Anthropic', 'Meta', 'Mistral AI']] - - # Get inference profiles with comprehensive error handling - try: - inference_models = client_s.list_inference_profiles() - inference_mod_list = [] - if 'inferenceProfileSummaries' in inference_models: - inference_mod_list = [ - m['inferenceProfileId'] - for m in inference_models['inferenceProfileSummaries'] - if any(provider in m['inferenceProfileId'].lower() - for provider in ['meta', 'anthropic', 'mistral']) - ] - except client_s.exceptions.ResourceNotFoundException: - inference_mod_list = [] - except client_s.exceptions.ValidationException as e: - print(f"Validation error: {str(e)}") - inference_mod_list = [] - except client_s.exceptions.AccessDeniedException as e: - print(f"Access denied: {str(e)}") - inference_mod_list = [] - except client_s.exceptions.ThrottlingException as e: - print(f"Request throttled: {str(e)}") - inference_mod_list = [] - except client_s.exceptions.InternalServerException as e: - print(f"Bedrock internal error: {str(e)}") - inference_mod_list = [] - - # Combine and sort the lists - bedrock_list = sort_unique_models(inference_mod_list + mod_list) - - models = { - "aws_bedrock": bedrock_list, - "CAII": ['meta/llama-3_1-8b-instruct', 'mistralai/mistral-7b-instruct-v0.3'] - } + models = { + "aws_bedrock": bedrock_list, + "CAII": [] + } - return {"models": models} + return {"models": models} - except client_s.exceptions.ValidationException as e: - print(f"Validation error: {str(e)}") - raise - except client_s.exceptions.AccessDeniedException as e: - print(f"Access denied: {str(e)}") - raise - except client_s.exceptions.ThrottlingException as e: - print(f"Request throttled: {str(e)}") - raise - except client_s.exceptions.InternalServerException as e: - print(f"Bedrock internal error: {str(e)}") - raise - except Exception as e: - print(f"Unexpected error occurred: {str(e)}") - raise + + @app.get("/model/model_id_filter", include_in_schema=True) async def get_model_id_filtered(): + """ - Get available models with health check, with results bifurcated into enabled and disabled lists. - Returns filtered model IDs categorized by their health/availability status. + Return two lists per provider: **enabled** (responds within 5 s) and **disabled**. + CAII is queried only when running inside a CDP project and it returns pair of endpoints and model IDs. """ - region = os.environ.get("AWS_REGION", os.environ.get("AWS_DEFAULT_REGION")) - new_target_region = "us-west-2" - retry_config = Config( - region_name=new_target_region, - retries={ - "max_attempts": 2, - "mode": "standard", - }, - ) - try: - # Create Bedrock clients for listing and runtime checks - bedrock_client = boto3.client(service_name="bedrock", region_name=region, config=retry_config) - bedrock_runtime = boto3.client(service_name="bedrock-runtime", region_name=region, config=retry_config) - - # Get foundation models - response = bedrock_client.list_foundation_models() - all_models = response['modelSummaries'] - - mod_list = [m['modelId'] - for m in all_models - if 'ON_DEMAND' in m['inferenceTypesSupported'] - and 'TEXT' in m['inputModalities'] - and 'TEXT' in m['outputModalities'] - and m['providerName'] in ['Anthropic', 'Meta', 'Mistral AI']] - - # Get inference profiles with comprehensive error handling - try: - inference_models = bedrock_client.list_inference_profiles() - inference_mod_list = [] - if 'inferenceProfileSummaries' in inference_models: - inference_mod_list = [ - m['inferenceProfileId'] - for m in inference_models['inferenceProfileSummaries'] - if any(provider in m['inferenceProfileId'].lower() - for provider in ['meta', 'anthropic', 'mistral']) - ] - except ( - bedrock_client.exceptions.ResourceNotFoundException, - bedrock_client.exceptions.ValidationException, - bedrock_client.exceptions.AccessDeniedException, - bedrock_client.exceptions.ThrottlingException, - bedrock_client.exceptions.InternalServerException - ) as e: - print(f"Error retrieving inference profiles: {str(e)}") - inference_mod_list = [] - - # Combine and sort the lists - bedrock_list = sort_unique_models(inference_mod_list + mod_list) - - # Perform health checks in parallel - import asyncio - from app.models.request_models import ModelParameters - - # Define async function for checking a single model - async def check_model_health(model_id): - try: - # Create minimal model parameters for health check - minimal_params = ModelParameters( - max_tokens=10, - temperature=0, - top_p=1, - top_k=1 - ) - - # Check model health with a simple prompt - test_handler = UnifiedModelHandler( - model_id=model_id, - bedrock_client=bedrock_runtime, - model_params=minimal_params - ) - - # Use a lightweight health check prompt - health_check_prompt = "Return HEALTHY if you can process this message." - - try: - # Create a task with timeout to avoid hanging on slow models - response = await asyncio.wait_for( - asyncio.to_thread(test_handler.generate_response, health_check_prompt, False), - timeout=5.0 # 5 second timeout - ) - - # If we reach here, the model is considered healthy - return (model_id, True) - - except (asyncio.TimeoutError, Exception) as e: - print(f"Health check failed for {model_id}: {str(e)}") - return (model_id, False) - - except Exception as e: - print(f"Model {model_id} health check failed: {str(e)}") - return (model_id, False) - - # Run all health checks in parallel with concurrency limit - # Using a semaphore to limit concurrent requests and avoid overwhelming the API - sem = asyncio.Semaphore(10) # Allow up to 10 concurrent requests - - async def bounded_check(model_id): - async with sem: - return await check_model_health(model_id) - - # Launch all tasks and wait for them to complete - tasks = [bounded_check(model_id) for model_id in bedrock_list] - results = await asyncio.gather(*tasks, return_exceptions=True) - - # Process results - enabled_models = [] - disabled_models = [] - - for result in results: - if isinstance(result, tuple) and len(result) == 2: - model_id, is_healthy = result - if is_healthy: - enabled_models.append(model_id) - else: - disabled_models.append(model_id) - else: - # Handle case where the task itself raised an exception - print(f"Health check task failed with exception: {result}") - # We don't have the model_id in this case, but that's ok since - # all models are already in bedrock_list - - # Create the response structure with bifurcated lists + models = await collect_model_catalog() + except Exception as exc: + # Fail closed – return *something* so the UI never breaks models = { - "aws_bedrock": { - "enabled": enabled_models, - "disabled": disabled_models - }, - "CAII": { - "enabled": ['meta/llama-3_1-8b-instruct', 'mistralai/mistral-7b-instruct-v0.3'], - - } + "aws_bedrock": {"enabled": [], "disabled": []}, + "CAII": {"enabled": [], "disabled": []}, } + # Log for operators + print("Error while building model catalog: ", exc) - return {"models": models} + return {"models": models} - except Exception as e: - print(f"Unexpected error in model filter endpoint: {str(e)}") - # Return empty structure in case of failure - return { - "models": { - "aws_bedrock": { - "enabled": [], - "disabled": bedrock_list if 'bedrock_list' in locals() else [] - }, - "CAII": { - "enabled": ['meta/llama-3_1-8b-instruct', 'mistralai/mistral-7b-instruct-v0.3'] - - } - } - } @app.get("/use-cases", include_in_schema=True) async def get_use_cases(): From 1e40359970051185d757fef3e62af80448182c52 Mon Sep 17 00:00:00 2001 From: Keivan Vosoughi Date: Wed, 28 May 2025 17:15:15 -0700 Subject: [PATCH 13/17] Changes for adding seed instructions --- .../DataGenerator/CustomPromptButton.tsx | 39 ++++++++++++++----- .../src/pages/DataGenerator/DataGenerator.tsx | 10 ++--- app/client/src/pages/DataGenerator/Finish.tsx | 16 ++++++-- app/client/src/pages/DataGenerator/Prompt.tsx | 10 ++++- .../src/pages/DataGenerator/Success.tsx | 10 ++--- 5 files changed, 60 insertions(+), 25 deletions(-) diff --git a/app/client/src/pages/DataGenerator/CustomPromptButton.tsx b/app/client/src/pages/DataGenerator/CustomPromptButton.tsx index dc2fa47..5b7cbc4 100644 --- a/app/client/src/pages/DataGenerator/CustomPromptButton.tsx +++ b/app/client/src/pages/DataGenerator/CustomPromptButton.tsx @@ -1,4 +1,4 @@ -import { Button, Form, Input, Modal, notification } from "antd"; +import { Button, Col, Flex, Form, Input, Modal, notification, Row } from "antd"; import { useEffect, useState } from "react"; import { useMutation } from "@tanstack/react-query"; import styled from "styled-components"; @@ -10,12 +10,13 @@ interface Props { use_case: string; inference_type: string; caii_endpoint: string; + example_path?: string | null; setPrompt: (prompt: string) => void } export const StyledTextArea = styled(Input.TextArea)` margin-bottom: 10px !important; - min-height: 275px !important; + height: 100% !important; margin-bottom: 10px !important; padding: 15px 20px !important; `; @@ -29,6 +30,7 @@ const StyledModal = styled(Modal)` .ant-modal-body { padding-top: 0; min-height: 70vh; + yoverflow-y: auto; } } // .ant-modal-content { @@ -39,7 +41,12 @@ const StyledModal = styled(Modal)` // } ` -const CustomPromptButton: React.FC = ({ model_id, inference_type, caii_endpoint, use_case, setPrompt }) => { +const StyledFlex = styled(Flex)` + flex-direction: row-reverse; +`; + + +const CustomPromptButton: React.FC = ({ model_id, inference_type, caii_endpoint, use_case, example_path, setPrompt }) => { const [form] = Form.useForm(); const [showModal, setShowModal] = useState(false); @@ -69,7 +76,8 @@ const CustomPromptButton: React.FC = ({ model_id, inference_type, caii_en inference_type, caii_endpoint, custom_prompt, - use_case + use_case, + example_path }) } catch(e) { console.error(e); @@ -90,9 +98,18 @@ const CustomPromptButton: React.FC = ({ model_id, inference_type, caii_en setShowModal(false)} - onOk={() => onFinish()} + title={`Generate Custom Prompt`} + footer={ + + + + + + + + + + } >
= ({ model_id, inference_type, caii_en disabled={mutation.isPending} > {mutation.isPending && - + + + } = ({ model_id, inference_type, caii_en labelCol={{ span: 24 }} wrapperCol={{ span: 24 }} > - diff --git a/app/client/src/pages/DataGenerator/DataGenerator.tsx b/app/client/src/pages/DataGenerator/DataGenerator.tsx index f4d6472..c22e96c 100644 --- a/app/client/src/pages/DataGenerator/DataGenerator.tsx +++ b/app/client/src/pages/DataGenerator/DataGenerator.tsx @@ -67,16 +67,16 @@ const steps: WizardStepConfig[] = [ content: , required: true, }, - { - title: 'Prompt', - key: DataGenWizardSteps.PROMPT, - content: , - }, { title: 'Examples', key: DataGenWizardSteps.EXAMPLES, content: }, + { + title: 'Prompt', + key: DataGenWizardSteps.PROMPT, + content: , + }, { title: 'Summary', key: DataGenWizardSteps.SUMMARY, diff --git a/app/client/src/pages/DataGenerator/Finish.tsx b/app/client/src/pages/DataGenerator/Finish.tsx index 116bfb7..9f5562a 100644 --- a/app/client/src/pages/DataGenerator/Finish.tsx +++ b/app/client/src/pages/DataGenerator/Finish.tsx @@ -8,7 +8,7 @@ import AssessmentIcon from '@mui/icons-material/Assessment'; import CheckCircleIcon from '@mui/icons-material/CheckCircle' import GradingIcon from '@mui/icons-material/Grading'; import ModelTrainingIcon from '@mui/icons-material/ModelTraining'; -import { Avatar, Button, Card, Divider, Flex, Form, List, Modal, Result, Spin, Tabs, Table, Typography, FormInstance } from 'antd'; +import { Avatar, Button, Card, Divider, Flex, Form, List, Modal, Result, Spin, Tabs, Table, Typography, FormInstance, Popover } from 'antd'; import { Link } from 'react-router-dom'; import styled from 'styled-components'; @@ -206,9 +206,17 @@ const Finish = () => { topicTabs = genDatasetResp?.results && Object.keys(genDatasetResp.results).map((topic, i) => { return ({ - key: `${topic}-${i}`, - label: {topic}, - value: topic, + key: `topic-${i}`, + label: ( + + {topic} + ) + , + value: topic.replace(/\n/g, ' '), children: workflow_type !== WorkflowType.FREE_FORM_DATA_GENERATION ? : // diff --git a/app/client/src/pages/DataGenerator/Prompt.tsx b/app/client/src/pages/DataGenerator/Prompt.tsx index 8ff5ab6..219004a 100644 --- a/app/client/src/pages/DataGenerator/Prompt.tsx +++ b/app/client/src/pages/DataGenerator/Prompt.tsx @@ -15,6 +15,7 @@ import { useWizardCtx } from './utils'; import { useDatasetSize, useGetPromptByUseCase } from './hooks'; import CustomPromptButton from './CustomPromptButton'; import get from 'lodash/get'; +import TextArea from 'antd/es/input/TextArea'; const { Title } = Typography; @@ -153,7 +154,8 @@ const Prompt = () => { }, [selectedTopics, numQuestions, datasetSize]); - const onTopicTextChange = (event: React.ChangeEvent) => { + const onTopicTextChange = (event: React.ChangeEvent) => { + console.log('onTopicTextChange:', event.target.value); setCustomTopic(event.target.value); }; @@ -163,6 +165,7 @@ const Prompt = () => { const addItem = (e: React.MouseEvent) => { e.preventDefault(); + console.log('Adding custom topic:', customTopic); if (!customTopic || items.includes(customTopic)) { return; // Prevent adding duplicate or empty topics } @@ -237,6 +240,7 @@ const Prompt = () => { inference_type={inference_type} caii_endpoint={caii_endpoint} use_case={useCase} + example_path={form.getFieldValue('example_path') || null} setPrompt={setPrompt} /> } @@ -315,9 +319,10 @@ const Prompt = () => { ]} > - { } > + {showModal && ( setShowModal(false)} footer={ diff --git a/app/client/src/pages/DataGenerator/Parameters.tsx b/app/client/src/pages/DataGenerator/Parameters.tsx index 9855568..65db49f 100644 --- a/app/client/src/pages/DataGenerator/Parameters.tsx +++ b/app/client/src/pages/DataGenerator/Parameters.tsx @@ -185,7 +185,7 @@ const Parameters = () => { - {LABELS[ModelParameters.MAX_TOKENS]}} labelCol={{ span: 24 }} @@ -215,7 +215,7 @@ const Parameters = () => { /> - + */} ) diff --git a/app/client/src/pages/DataGenerator/Prompt.tsx b/app/client/src/pages/DataGenerator/Prompt.tsx index 219004a..931c9ce 100644 --- a/app/client/src/pages/DataGenerator/Prompt.tsx +++ b/app/client/src/pages/DataGenerator/Prompt.tsx @@ -26,6 +26,13 @@ const FormLabel = styled(Title)` const StyledFormItem = styled(Form.Item)` margin-bottom: 0px; `; + +const StyledPromptFormItem = styled(StyledFormItem)` + label { + width: 100%; + } +`; + const RestoreDefaultBtn = styled(Button)` max-width: fit-content; `; @@ -191,22 +198,37 @@ const Prompt = () => {
- +
+ <>{'Prompt'} + + {(form.getFieldValue('use_case') === Usecases.CUSTOM.toLowerCase() || + workflow_type === WorkflowType.CUSTOM_DATA_GENERATION) && + + } + +
} labelCol={{ span: 24 }} wrapperCol={{ span: 24 }} shouldUpdate > - + { return Modal.warning({ @@ -229,21 +251,10 @@ const Prompt = () => { ), maskClosable: true, }) - }} - > - {'Restore'} + }}> + {'Restore'} - {(form.getFieldValue('use_case') === Usecases.CUSTOM.toLowerCase() || - workflow_type === WorkflowType.CUSTOM_DATA_GENERATION) && - - } +
{((workflow_type === WorkflowType.CUSTOM_DATA_GENERATION && !isEmpty(doc_paths)) || (workflow_type === WorkflowType.SUPERVISED_FINE_TUNING && !isEmpty(doc_paths))) && diff --git a/app/client/src/pages/Evaluator/ReevaluatorPage.tsx b/app/client/src/pages/Evaluator/ReevaluatorPage.tsx index d8f3a97..b4c1e7c 100644 --- a/app/client/src/pages/Evaluator/ReevaluatorPage.tsx +++ b/app/client/src/pages/Evaluator/ReevaluatorPage.tsx @@ -51,7 +51,9 @@ const ReevaluatorPage: React.FC = () => { }, [evaluate]); const evaluateDataset = async (formData: unknown) => { - const response = await fetch(`${BASE_API_URL}/synthesis/evaluate`, { + const url = dataset.technique === 'freeforms' ? + `${BASE_API_URL}/synthesis/evaluate` : `${BASE_API_URL}/synthesis/evaluate_freeform`; + const response = await fetch(url, { method: 'POST', headers: { 'Content-Type': 'application/json', diff --git a/app/client/src/pages/Home/EvaluateButton.tsx b/app/client/src/pages/Home/EvaluateButton.tsx index f9ea18a..83225e8 100644 --- a/app/client/src/pages/Home/EvaluateButton.tsx +++ b/app/client/src/pages/Home/EvaluateButton.tsx @@ -17,8 +17,8 @@ const EvaluateButton: React.FC = () => { const {data, isLoading} = useDatasets(); useEffect(() => { - if(!isEmpty(data?.datasets)) { - setDatasets(data?.datasets); + if(!isEmpty(data?.data)) { + setDatasets(data?.data); } }, [data]); From 02d616b2d6d176b4016d1e755a51c085e6441044 Mon Sep 17 00:00:00 2001 From: Khauneesh-AI Date: Fri, 30 May 2025 15:40:16 +0530 Subject: [PATCH 16/17] increasing timeout for aws request --- app/services/aws_bedrock.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/app/services/aws_bedrock.py b/app/services/aws_bedrock.py index 1b4890f..e6d3bba 100644 --- a/app/services/aws_bedrock.py +++ b/app/services/aws_bedrock.py @@ -22,7 +22,7 @@ def get_bedrock_client(): "mode": "standard", }, connect_timeout=5, - read_timeout=60 + read_timeout=3600 ) bedrock_client = boto3.client(service_name="bedrock-runtime", region_name=region, config=retry_config) From ad60a7a8c1d3917096f6c70f7e49753ce8762869 Mon Sep 17 00:00:00 2001 From: Khauneesh Saigal Date: Fri, 30 May 2025 20:23:07 +0530 Subject: [PATCH 17/17] Update app/client/src/pages/DataGenerator/Configure.tsx Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- app/client/src/pages/DataGenerator/Configure.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/app/client/src/pages/DataGenerator/Configure.tsx b/app/client/src/pages/DataGenerator/Configure.tsx index 81683fd..a68bec8 100644 --- a/app/client/src/pages/DataGenerator/Configure.tsx +++ b/app/client/src/pages/DataGenerator/Configure.tsx @@ -38,7 +38,7 @@ export const USECASE_OPTIONS = [ export const WORKFLOW_OPTIONS = [ { label: 'Supervised Fine-Tuning', value: 'supervised-fine-tuning' }, { label: 'Custom Data Generation', value: 'custom' }, - { label: 'Freefrom Data Generation', value: 'freeform' } + { label: 'Freeform Data Generation', value: 'freeform' } ]; export const MODEL_TYPE_OPTIONS: ModelProvidersDropdownOpts = [