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import os from promptflow import tool @tool def get_env_var(key: str): if key == "raise": raise Exception("expected raise!") print(os.environ.get(key)) # get from env var return {"value": os.environ.get(key)}
promptflow/src/promptflow/tests/test_configs/flows/partial_fail/print_env.py/0
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inputs: text: type: string outputs: output_echo: type: string reference: ${echo_my_input.output} nodes: - name: echo_my_input type: python source: type: code path: echo_input.py inputs: input: ${inputs.text}
promptflow/src/promptflow/tests/test_configs/flows/python_stream_tools/flow.dag.yaml/0
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from promptflow import tool @tool def passthrough(image, call_passthrough: bool = True): if call_passthrough: image = passthrough(image, False) return image
promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_image_nested_api_calls/passthrough.py/0
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{ "name": "script_with___file__", "type": "python", "inputs": { "input1": { "type": [ "string" ] } }, "source": "script_with___file__.py", "function": "my_python_tool" }
promptflow/src/promptflow/tests/test_configs/flows/script_with___file__/script_with___file__.meta.json/0
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inputs: message: type: string default: Hello World! outputs: output: type: object reference: ${test_assistant_definition.output} nodes: - name: test_assistant_definition type: python source: type: code path: test_assistant_definition.py inputs: message: ${inputs.message} assist...
promptflow/src/promptflow/tests/test_configs/flows/tool_with_assistant_definition/flow.dag.yaml/0
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'aadb0707e9a62b00df9d0d3fecb709ece90a8b67', (0, 2261) '28e341291f602cdf951239f0152fa9e26deb501b', (67584, 3359) 'e25f352dc22315a0e2c3ee2a3cd629763fc0ae5e', (9216, 3302) 'dc8625906abf86f47f2c52b461f108ab6b98a1cf', (12800, 3795) 'a30838607856c1b8efd522af93ea1edb88f57b4f', (16896, 3671) '4f7cfc5331a898e9c7abb00e2d0f6f818d...
promptflow/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.bak/0
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interactions: - request: body: null headers: Accept: - application/json Accept-Encoding: - gzip, deflate Connection: - keep-alive User-Agent: - promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0 Python/3.10.13 (Windows-...
promptflow/src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_get_flow.yaml/0
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interactions: - request: body: null headers: Accept: - application/json Accept-Encoding: - gzip, deflate Connection: - keep-alive User-Agent: - promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0 Python/3.10.13 (Windows-...
promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_get_detail_against_partial_fail_run.yaml/0
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name: flow_run_20230629_101205 description: sample bulk run # flow relative to current working directory should not be supported. flow: tests/test_configs/flows/web_classification data: ../datas/webClassification1.jsonl column_mapping: url: "${data.url}" variant: ${summarize_text_content.variant_0} # run config: en...
promptflow/src/promptflow/tests/test_configs/runs/bulk_run_invalid_flow_path.yaml/0
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from jinja2 import Template from promptflow.connections import CustomConnection from promptflow import ToolProvider, tool from promptflow.connections import AzureOpenAIConnection from promptflow.contracts.types import PromptTemplate class TestCustomLLMTool(ToolProvider): def __init__(self, connection: AzureOpenA...
promptflow/src/promptflow/tests/test_configs/tools/custom_llm_tool.py/0
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inputs: text: type: string outputs: output: type: string reference: ${summarize_text_content.output} nodes: - name: summarize_text_content type: llm source: type: code path: summarize_text_content__variant_1.jinja2 inputs: deployment_name: text-davinci-003 suffix: '' max_tokens...
promptflow/src/promptflow/tests/test_configs/wrong_flows/wrong_api/flow.dag.yaml/0
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# Prompt flow [![Python package](https://img.shields.io/pypi/v/promptflow)](https://pypi.org/project/promptflow/) [![Python](https://img.shields.io/pypi/pyversions/promptflow.svg?maxAge=2592000)](https://pypi.python.org/pypi/promptflow/) [![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow)](https://pypi.org...
promptflow/README.md/0
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# Adding a Tool Icon A tool icon serves as a graphical representation of your tool in the user interface (UI). Follow this guidance to add a custom tool icon when developing your own tool package. Adding a custom tool icon is optional. If you do not provide one, the system uses a default icon. ## Prerequisites - Ple...
promptflow/docs/how-to-guides/develop-a-tool/add-a-tool-icon.md/0
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# Process image in flow PromptFlow defines a contract to represent image data. ## Data class `promptflow.contracts.multimedia.Image` Image class is a subclass of `bytes`, thus you can access the binary data by directly using the object. It has an extra attribute `source_url` to store the origin url of the image, which...
promptflow/docs/how-to-guides/process-image-in-flow.md/0
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# Azure OpenAI GPT-4 Turbo with Vision ## Introduction Azure OpenAI GPT-4 Turbo with Vision tool enables you to leverage your AzureOpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them. ## Prerequisites - Create AzureOpenAI resources Create Azure...
promptflow/docs/reference/tools-reference/aoai-gpt4-turbo-vision.md/0
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# Working with Connection This folder contains example `YAML` files for creating `connection` using `pf` cli. Learn more on all the [connections types](https://microsoft.github.io/promptflow/concepts/concept-connections.html). ## Prerequisites - Install promptflow sdk and other dependencies: ```bash pip install -r req...
promptflow/examples/connections/README.md/0
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{ "package": {}, "code": { "chat.jinja2": { "type": "llm", "inputs": { "chat_history": { "type": [ "string" ] }, "question": { "type": [ "string" ] } }, "source": "chat.jinja2" }, "cha...
promptflow/examples/flows/chat/chat-math-variant/.promptflow/flow.tools.json/0
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<jupyter_start><jupyter_code>from main import chat_with_pdf, print_stream_and_return_full_answer from dotenv import load_dotenv load_dotenv() bert_paper_url = "https://arxiv.org/pdf/1810.04805.pdf" questions = [ "what is BERT?", "what NLP tasks does it perform well?", "is BERT suitable for NER?", "is ...
promptflow/examples/flows/chat/chat-with-pdf/chat_with_pdf/test.ipynb/0
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inputs: chat_history: type: list default: [] pdf_url: type: string default: https://arxiv.org/pdf/1810.04805.pdf question: type: string is_chat_input: true default: what NLP tasks does it perform well? outputs: answer: type: string is_chat_output: true reference: ${qna_to...
promptflow/examples/flows/chat/chat-with-pdf/flow.dag.yaml.multi-node/0
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from promptflow import tool @tool def process_search_result(search_result): def format(doc: dict): return f"Content: {doc['Content']}\nSource: {doc['Source']}" try: context = [] for url, content in search_result: context.append({"Content": content, "Source": url}) ...
promptflow/examples/flows/chat/chat-with-wikipedia/process_search_result.py/0
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$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json inputs: groundtruth: type: string default: groundtruth prediction: type: string default: prediction outputs: results: type: string reference: ${line_process.output} nodes: - name: line_process type: python ...
promptflow/examples/flows/evaluation/eval-basic/flow.dag.yaml/0
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system: You are an AI assistant. You will be given the definition of an evaluation metric for assessing the quality of an answer in a question-answering task. Your job is to compute an accurate evaluation score using the provided evaluation metric. user: Equivalence, as a metric, measures the similarity between the pre...
promptflow/examples/flows/evaluation/eval-qna-non-rag/gpt_similarity_prompt.jinja2/0
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from promptflow import tool @tool def select_metrics(metrics: str) -> str: supported_metrics = ('gpt_relevance', 'gpt_groundedness', 'gpt_retrieval_score') user_selected_metrics = [metric.strip() for metric in metrics.split(',') if metric] metric_selection_dict = {} for metric in supported_metrics: ...
promptflow/examples/flows/evaluation/eval-qna-rag-metrics/select_metrics.py/0
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$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json environment: python_requirements_txt: requirements.txt inputs: chat_history: type: list is_chat_history: true utterance: type: string is_chat_input: true default: Play BB King and increase the volume. outputs: i...
promptflow/examples/flows/integrations/azure-ai-language/multi_intent_conversational_language_understanding/flow.dag.yaml/0
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# Basic flow with builtin llm tool A basic standard flow that calls Azure OpenAI with builtin llm tool. Tools used in this flow: - `prompt` tool - built-in `llm` tool Connections used in this flow: - `azure_open_ai` connection ## Prerequisites Install promptflow sdk and other dependencies: ```bash pip install -r r...
promptflow/examples/flows/standard/basic-with-builtin-llm/README.md/0
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system: There is a search bar in the mall APP and users can enter any query in the search bar. The user may want to search for orders, view product information, or seek recommended products. Therefore, please classify user intentions into the following three types according to the query: product_recommendation, order...
promptflow/examples/flows/standard/conditional-flow-for-switch/classify_with_llm.jinja2/0
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import logging import os from urllib.parse import urlparse import requests class File: def __init__(self, source: str): self._source = source self._is_url = source.startswith("http://") or source.startswith("https://") if self._is_url: parsed_url = urlparse(source) ...
promptflow/examples/flows/standard/gen-docstring/file.py/0
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my_tool_package.tools.tool_with_generated_by_input.my_tool: function: my_tool inputs: index_json: type: - string generated_by: func_path: my_tool_package.tools.tool_with_generated_by_input.generate_index_json func_kwargs: - name: index_type type: ...
promptflow/examples/tools/tool-package-quickstart/my_tool_package/yamls/tool_with_generated_by_input.yaml/0
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$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json inputs: {} outputs: output: type: string reference: ${My_Tool_with_Dynamic_List_Input_cywc.output} nodes: - name: My_Tool_with_Dynamic_List_Input_cywc type: python source: type: package tool: my_tool_package.tools.too...
promptflow/examples/tools/use-cases/dynamic-list-input-tool-showcase/flow.dag.yaml/0
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$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json inputs: flow_input: type: string outputs: output: type: object reference: ${echo_connection.output} nodes: - name: echo_connection type: python source: type: code path: echo_connection.py inputs: flow_inpu...
promptflow/examples/tutorials/flow-deploy/create-service-with-flow/echo_connection_flow/flow.dag.yaml/0
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<jupyter_start><jupyter_text>Run prompt flow in Azure AI**Requirements** - In order to benefit from this tutorial, you will need:- An Azure account with an active subscription - [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F)- An Azure ML workspace - [Configure workspace](../../config...
promptflow/examples/tutorials/get-started/quickstart-azure.ipynb/0
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.title { font-weight:700; } .sd-card-header { font-weight:700; font-size: 16px; } .bd-page-width { max-width: 100rem; } .bd-sidebar-primary { flex: 0 0 20%; } .bd-main .bd-content .bd-article-container { max-width: 70em; } html[data-theme="light"] { --header-announcement-color: #fff070...
promptflow/scripts/docs/_static/custom.css/0
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- name: {{ step_name }} working-directory: examples run: | python -m pip install --upgrade pip pip install -r dev_requirements.txt
promptflow/scripts/readme/ghactions_driver/workflow_steps/step_install_dev_deps.yml.jinja2/0
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$schema: https://azuremlschemas.azureedge.net/latest/environment.schema.json name: chat-with-pdf build: path: context inference_config: liveness_route: port: 8080 path: /health readiness_route: port: 8080 path: /health scoring_route: port: 8080 path: /score
promptflow/scripts/runtime_mgmt/runtime-env/env.yaml/0
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{{ package_name }}.tools.{{ tool_name }}.{{ class_name }}.{{ function_name }}: class_name: {{ class_name }} function: {{ function_name }} inputs: url: type: - string query: type: - string module: {{ package_name }}.tools.{{ tool_name }} name: Hello World Tool description: Thi...
promptflow/scripts/tool/templates/tool2.yaml.j2/0
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promptflow.tools.azure_content_safety.analyze_text: module: promptflow.tools.azure_content_safety function: analyze_text inputs: connection: type: - AzureContentSafetyConnection hate_category: default: medium_sensitivity enum: - disable - low_sensitivity - medium_...
promptflow/src/promptflow-tools/promptflow/tools/yamls/azure_content_safety.yaml/0
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# Prompt flow [![Python package](https://img.shields.io/pypi/v/promptflow)](https://pypi.org/project/promptflow/) [![Python](https://img.shields.io/pypi/pyversions/promptflow.svg?maxAge=2592000)](https://pypi.python.org/pypi/promptflow/) [![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow)](https://pypi.or...
promptflow/src/promptflow/README.md/0
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import os from promptflow._cli._params import ( add_param_yes, base_params, ) from promptflow._cli._utils import activate_action, get_cli_sdk_logger from promptflow._utils.utils import prompt_y_n from promptflow.exceptions import UserErrorException logger = get_cli_sdk_logger() UPGRADE_MSG = 'Not able to upgr...
promptflow/src/promptflow/promptflow/_cli/_pf/_upgrade.py/0
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$schema: https://azuremlschemas.azureedge.net/promptflow/latest/OpenAIConnection.schema.json name: {{ connection }} type: open_ai api_key: "<user-input>"
promptflow/src/promptflow/promptflow/_cli/data/chat_flow/template/openai.yaml.jinja2/0
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# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- from contextvars import ContextVar from typing import Dict, Mapping from promptflow._version import VERSION class OperationContext(Dict):...
promptflow/src/promptflow/promptflow/_core/operation_context.py/0
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# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- from typing import List, Optional from sqlalchemy import TEXT, Column from sqlalchemy.exc import IntegrityError from sqlalchemy.orm import ...
promptflow/src/promptflow/promptflow/_sdk/_orm/connection.py/0
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packageName: Promptflow.Core.PfsClient packageVersion: 0.0.1 targetFramework: netstandard2.0 optionalProjectFile: false
promptflow/src/promptflow/promptflow/_sdk/_service/generator_configs/csharp.yaml/0
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# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- from dataclasses import dataclass from typing import Mapping, Any from promptflow.contracts.run_info import FlowRunInfo from promptflow.con...
promptflow/src/promptflow/promptflow/_sdk/_serving/flow_result.py/0
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# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- from .activity import ( # noqa: F401 ActivityCompletionStatus, ActivityType, log_activity, monitor_operation, request_i...
promptflow/src/promptflow/promptflow/_sdk/_telemetry/__init__.py/0
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# syntax=docker/dockerfile:1 FROM mcr.microsoft.com/dotnet/sdk:6.0 AS build WORKDIR / COPY ./flow /flow COPY ./connections /connections COPY ./start.sh /start.sh FROM mcr.microsoft.com/dotnet/aspnet:6.0 AS runtime COPY --from=build / / ENV IS_IN_DOCKER="true" EXPOSE 8080 RUN apt-get update && apt-get install -y run...
promptflow/src/promptflow/promptflow/_sdk/data/docker_csharp/Dockerfile.jinja2/0
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# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- from os import PathLike from pathlib import Path from typing import Union from promptflow._constants import LANGUAGE_KEY, FlowLanguage from...
promptflow/src/promptflow/promptflow/_sdk/entities/_eager_flow.py/0
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# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- import copy import os.path import sys import time from dataclasses import asdict from typing import Any, Dict, List, Optional, Union from ...
promptflow/src/promptflow/promptflow/_sdk/operations/_run_operations.py/0
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# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- import json import os from datetime import datetime from enum import Enum from traceback import TracebackException, format_tb from types im...
promptflow/src/promptflow/promptflow/_utils/exception_utils.py/0
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# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore from ._pf_client import PFClient __all__ = ["PFClient"]
promptflow/src/promptflow/promptflow/azure/__init__.py/0
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# -------------------------------------------------------------------------- # Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2) # Changes may cause incorrect behavior and will be lost if the code is regenerated. # ---------------------------------------------...
promptflow/src/promptflow/promptflow/azure/_restclient/flow/_vendor.py/0
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# coding=utf-8 # -------------------------------------------------------------------------- # Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2) # Changes may cause incorrect behavior and will be lost if the code is regenerated. # ------------------------------...
promptflow/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_tools_operations.py/0
{ "file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_tools_operations.py", "repo_id": "promptflow", "token_count": 8893 }
39
# coding=utf-8 # -------------------------------------------------------------------------- # Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2) # Changes may cause incorrect behavior and will be lost if the code is regenerated. # ------------------------------...
promptflow/src/promptflow/promptflow/azure/_restclient/flow/operations/_tools_operations.py/0
{ "file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/operations/_tools_operations.py", "repo_id": "promptflow", "token_count": 13696 }
40
# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- # pylint: disable=protected-access import copy import json import os import re from datetime import datetime from functools import cached_pr...
promptflow/src/promptflow/promptflow/azure/operations/_flow_operations.py/0
{ "file_path": "promptflow/src/promptflow/promptflow/azure/operations/_flow_operations.py", "repo_id": "promptflow", "token_count": 10428 }
41
import base64 import filetype import hashlib from typing import Callable, Optional class PFBytes(bytes): """This class is used to represent a bytes object in PromptFlow. It has all the functionalities of a bytes object, and also has some additional methods to help with serialization and deserialization. ...
promptflow/src/promptflow/promptflow/contracts/multimedia.py/0
{ "file_path": "promptflow/src/promptflow/promptflow/contracts/multimedia.py", "repo_id": "promptflow", "token_count": 977 }
42
import contextvars import multiprocessing import os import queue import signal import sys import threading import time from datetime import datetime from functools import partial from logging import INFO from multiprocessing import Manager, Queue from multiprocessing.pool import ThreadPool from typing import List, Opti...
promptflow/src/promptflow/promptflow/executor/_line_execution_process_pool.py/0
{ "file_path": "promptflow/src/promptflow/promptflow/executor/_line_execution_process_pool.py", "repo_id": "promptflow", "token_count": 14550 }
43
[tool.black] line-length = 120 [tool.pytest.ini_options] markers = [ "sdk_test", "cli_test", "unittest", "e2etest", "flaky", "endpointtest", "mt_endpointtest", ] [tool.coverage.run] omit = [ # omit anything in a _restclient directory anywhere "*/_restclient/*", ]
promptflow/src/promptflow/pyproject.toml/0
{ "file_path": "promptflow/src/promptflow/pyproject.toml", "repo_id": "promptflow", "token_count": 139 }
44
import json from pathlib import Path from tempfile import mkdtemp import pytest from promptflow._core._errors import FlowOutputUnserializable, InvalidSource from promptflow._core.tools_manager import APINotFound from promptflow._sdk._constants import DAG_FILE_NAME from promptflow._utils.utils import dump_list_to_json...
promptflow/src/promptflow/tests/executor/e2etests/test_executor_validation.py/0
{ "file_path": "promptflow/src/promptflow/tests/executor/e2etests/test_executor_validation.py", "repo_id": "promptflow", "token_count": 8603 }
45
{{api}}
promptflow/src/promptflow/tests/executor/package_tools/custom_llm_tool_with_duplicated_inputs/prompt_with_duplicated_inputs.jinja2/0
{ "file_path": "promptflow/src/promptflow/tests/executor/package_tools/custom_llm_tool_with_duplicated_inputs/prompt_with_duplicated_inputs.jinja2", "repo_id": "promptflow", "token_count": 4 }
46
import inspect import pytest from promptflow import tool from promptflow._core.tool import InputSetting, ToolType from promptflow._core.tracer import Tracer, TraceType from promptflow.exceptions import UserErrorException @tool def decorated_without_parentheses(a: int): return a @tool() def decorated_with_pare...
promptflow/src/promptflow/tests/executor/unittests/_core/test_tool.py/0
{ "file_path": "promptflow/src/promptflow/tests/executor/unittests/_core/test_tool.py", "repo_id": "promptflow", "token_count": 1222 }
47
import pytest import os from unittest.mock import patch from datetime import datetime from promptflow._utils.utils import is_json_serializable, get_int_env_var, log_progress class MyObj: pass @pytest.mark.unittest class TestUtils: @pytest.mark.parametrize("value, expected_res", [(None, True), (1, True), ("...
promptflow/src/promptflow/tests/executor/unittests/_utils/test_utils.py/0
{ "file_path": "promptflow/src/promptflow/tests/executor/unittests/_utils/test_utils.py", "repo_id": "promptflow", "token_count": 1286 }
48
import pytest from pathlib import Path from typing import Callable from promptflow import tool from promptflow.executor._assistant_tool_invoker import AssistantToolInvoker from promptflow.executor._errors import UnsupportedAssistantToolType @pytest.mark.unittest class TestAssistantToolInvoker: @pytest.fixture ...
promptflow/src/promptflow/tests/executor/unittests/executor/test_assistant_tool_invoker.py/0
{ "file_path": "promptflow/src/promptflow/tests/executor/unittests/executor/test_assistant_tool_invoker.py", "repo_id": "promptflow", "token_count": 1969 }
49
# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- import copy import inspect import json from pathlib import Path from typing import Dict, List import vcr from vcr import matchers from vcr...
promptflow/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/bases.py/0
{ "file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/bases.py", "repo_id": "promptflow", "token_count": 6082 }
50
# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- from unittest.mock import MagicMock import pytest from promptflow.exceptions import UserErrorException @pytest.mark.unittest class TestU...
promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_utils.py/0
{ "file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_utils.py", "repo_id": "promptflow", "token_count": 953 }
51
import copy import os.path import re import shutil import tempfile from pathlib import Path import mock import pytest from promptflow._sdk._constants import FLOW_TOOLS_JSON, NODE_VARIANTS, PROMPT_FLOW_DIR_NAME, USE_VARIANTS from promptflow._utils.yaml_utils import load_yaml from promptflow.connections import AzureOpe...
promptflow/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_local_operations.py/0
{ "file_path": "promptflow/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_local_operations.py", "repo_id": "promptflow", "token_count": 10437 }
52
# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- from pathlib import Path import pytest from marshmallow import ValidationError from promptflow import load_flow from promptflow._sdk.entit...
promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_flow.py/0
{ "file_path": "promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_flow.py", "repo_id": "promptflow", "token_count": 1607 }
53
# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- import pytest from promptflow._sdk._utils import get_promptflow_sdk_version from ..utils import PFSOperations @pytest.mark.e2etest clas...
promptflow/src/promptflow/tests/sdk_pfs_test/e2etests/test_general_apis.py/0
{ "file_path": "promptflow/src/promptflow/tests/sdk_pfs_test/e2etests/test_general_apis.py", "repo_id": "promptflow", "token_count": 217 }
54
path: ./entry.py entry: my_flow
promptflow/src/promptflow/tests/test_configs/eager_flows/dummy_flow_with_exception/flow.dag.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/eager_flows/dummy_flow_with_exception/flow.dag.yaml", "repo_id": "promptflow", "token_count": 12 }
55
# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- import time def my_flow(input_val) -> str: """Simple flow with yaml.""" time.sleep(100) print(f"Hello world! {input_val}") ...
promptflow/src/promptflow/tests/test_configs/eager_flows/long_running/entry.py/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/eager_flows/long_running/entry.py", "repo_id": "promptflow", "token_count": 94 }
56
{ "text": "hello" }
promptflow/src/promptflow/tests/test_configs/flows/activate_condition_always_met/inputs.json/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/activate_condition_always_met/inputs.json", "repo_id": "promptflow", "token_count": 13 }
57
[ { "expected_node_count": 2, "expected_outputs": { "output": "Execution" }, "expected_bypassed_nodes": [ "nodeA" ] } ]
promptflow/src/promptflow/tests/test_configs/flows/all_depedencies_bypassed_with_activate_met/expected_result.json/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/all_depedencies_bypassed_with_activate_met/expected_result.json", "repo_id": "promptflow", "token_count": 117 }
58
inputs: input_str: type: string default: Hello outputs: ouput1: type: string reference: ${async_passthrough1.output} output2: type: string reference: ${async_passthrough2.output} nodes: - name: async_passthrough type: python source: type: code path: async_passthrough.py input...
promptflow/src/promptflow/tests/test_configs/flows/async_tools/flow.dag.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/async_tools/flow.dag.yaml", "repo_id": "promptflow", "token_count": 296 }
59
model: gpt-4-1106-preview instructions: You are a helpful assistant. tools: - type: code_interpreter - type: function source: type: code path: get_calorie_by_jogging.py tool_type: python - type: function source: type: code path: get_calorie_by_swimming.py tool_type: python ...
promptflow/src/promptflow/tests/test_configs/flows/chat-with-assistant-no-file/assistant_definition.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/chat-with-assistant-no-file/assistant_definition.yaml", "repo_id": "promptflow", "token_count": 224 }
60
id: template_standard_flow name: Template Standard Flow inputs: incident_content: type: string incident_id: type: int outputs: investigation_method: type: string reference: ${investigation_method.output} nodes: - name: incident_id_extractor type: python source: type: code path: inciden...
promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/flow.dag.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/flow.dag.yaml", "repo_id": "promptflow", "token_count": 999 }
61
inputs: case: type: string default: double is_chat_input: false value: type: int default: 1 outputs: output: type: string reference: ${collect_node.output} evaluation_only: false is_chat_output: false nodes: - name: double type: python source: type: code path: doubl...
promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/flow.dag.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/flow.dag.yaml", "repo_id": "promptflow", "token_count": 426 }
62
{"question": "What is 2 to the 10th power?"} {"question": "What is the sum of 2 and 2?"}
promptflow/src/promptflow/tests/test_configs/flows/flow_with_langchain_traces/inputs.jsonl/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_langchain_traces/inputs.jsonl", "repo_id": "promptflow", "token_count": 29 }
63
inputs: text: type: string outputs: answer: type: string reference: ${echo_generator.output} nodes: - name: echo_generator type: python source: type: code path: echo.py inputs: text: ${inputs.text}
promptflow/src/promptflow/tests/test_configs/flows/generator_nodes/flow.dag.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/generator_nodes/flow.dag.yaml", "repo_id": "promptflow", "token_count": 97 }
64
inputs: question: type: string chat_history: type: list stream: type: bool outputs: answer: type: string reference: ${chat.output} nodes: - name: chat type: python source: type: code path: chat.py inputs: question: ${inputs.question} chat_history: ${inputs.chat_history}...
promptflow/src/promptflow/tests/test_configs/flows/openai_chat_api_flow/flow.dag.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/openai_chat_api_flow/flow.dag.yaml", "repo_id": "promptflow", "token_count": 157 }
65
from promptflow import tool import sys @tool def print_inputs( text: str = None, ): print(f"STDOUT: {text}") print(f"STDERR: {text}", file=sys.stderr) return text
promptflow/src/promptflow/tests/test_configs/flows/print_input_flow/print_input.py/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/print_input_flow/print_input.py", "repo_id": "promptflow", "token_count": 75 }
66
from promptflow import tool @tool def my_python_tool_with_failed_line(idx: int, mod) -> int: if idx % mod == 0: raise Exception("Failed") return idx
promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/my_python_tool_with_failed_line.py/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/my_python_tool_with_failed_line.py", "repo_id": "promptflow", "token_count": 66 }
67
{"image": {"data:image/png;path":"logo_1.png"}} {"image": {"data:image/png;path":"logo_2.png"}}
promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image/image_inputs/inputs.jsonl/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image/image_inputs/inputs.jsonl", "repo_id": "promptflow", "token_count": 41 }
68
inputs: text: type: string outputs: output: type: string reference: ${node1.output} nodes: - name: node1 type: python source: type: code path: dummy_utils/main.py inputs: x: ${inputs.text}
promptflow/src/promptflow/tests/test_configs/flows/script_with_import/flow.dag.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/script_with_import/flow.dag.yaml", "repo_id": "promptflow", "token_count": 97 }
69
id: template_standard_flow name: Template Standard Flow inputs: input: type: string is_chat_input: false index: type: int is_chat_input: false outputs: output: type: string reference: ${python_node.output} nodes: - name: python_node type: python source: type: code path: python_...
promptflow/src/promptflow/tests/test_configs/flows/simple_flow_with_ten_inputs/flow.dag.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/simple_flow_with_ten_inputs/flow.dag.yaml", "repo_id": "promptflow", "token_count": 171 }
70
[ { "url": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h" }, { "url": "https://www.microsoft.com/en-us/windows/" } ]
promptflow/src/promptflow/tests/test_configs/flows/web_classification_v1/samples.json/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/flows/web_classification_v1/samples.json", "repo_id": "promptflow", "token_count": 86 }
71
interactions: - request: body: null headers: Accept: - application/json Accept-Encoding: - gzip, deflate Connection: - keep-alive User-Agent: - promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0 Python/3.10.13 (Windows-...
promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_basic_evaluation.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_basic_evaluation.yaml", "repo_id": "promptflow", "token_count": 88949 }
72
interactions: - request: body: null headers: Accept: - application/json Accept-Encoding: - gzip, deflate Connection: - keep-alive User-Agent: - promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0 Python/...
promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_request_id_when_making_http_requests.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_request_id_when_making_http_requests.yaml", "repo_id": "promptflow", "token_count": 12048 }
73
interactions: - request: body: null headers: Accept: - application/json Accept-Encoding: - gzip, deflate Connection: - keep-alive User-Agent: - promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0 Python/3.10.13 (Windows-...
promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_show_run.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_show_run.yaml", "repo_id": "promptflow", "token_count": 89116 }
74
flow: ../flows/flow_with_dict_input data: ../datas/webClassification1.jsonl column_mapping: key: val1: 1 val2: 2 url: ${data.url}
promptflow/src/promptflow/tests/test_configs/runs/input_with_dict_val.yaml/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/runs/input_with_dict_val.yaml", "repo_id": "promptflow", "token_count": 70 }
75
from promptflow import tool @tool def divide_num(num: int): return UnserializableClass(num=(int)(num / 2)) class UnserializableClass: def __init__(self, num: int): self.num = num def __str__(self): return str(self.num)
promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_output_unserializable/divide_num.py/0
{ "file_path": "promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_output_unserializable/divide_num.py", "repo_id": "promptflow", "token_count": 99 }
76