text stringlengths 8 1.72M | id stringlengths 22 143 | metadata dict | __index_level_0__ int64 0 104 |
|---|---|---|---|
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from enum import Enum
from typing import Any, Dict, Union
import requests
from azure.ai.ml._restclient.v2023_06_01_preview.models import Wo... | promptflow/src/promptflow/promptflow/azure/operations/_arm_connection_operations.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/operations/_arm_connection_operations.py",
"repo_id": "promptflow",
"token_count": 5724
} | 46 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from dataclasses import dataclass, is_dataclass
from promptflow._core.tools_manager import register_connections
from promptflow._sdk.entiti... | promptflow/src/promptflow/promptflow/connections/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/connections/__init__.py",
"repo_id": "promptflow",
"token_count": 399
} | 47 |
import inspect
from typing import Any, Callable, Dict, List, Mapping
from promptflow._utils.logger_utils import flow_logger
from promptflow.contracts.flow import InputAssignment, InputValueType, Node
from promptflow.executor import _input_assignment_parser
class DAGManager:
def __init__(self, nodes: List[Node], ... | promptflow/src/promptflow/promptflow/executor/_dag_manager.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/executor/_dag_manager.py",
"repo_id": "promptflow",
"token_count": 3269
} | 48 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from ._cache_storage import AbstractCacheStorage # noqa: F401
from ._run_storage import AbstractRunStorage # noqa: F401
__all__ = ["Abst... | promptflow/src/promptflow/promptflow/storage/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/storage/__init__.py",
"repo_id": "promptflow",
"token_count": 74
} | 49 |
import re
from pathlib import Path
from tempfile import mkdtemp
import pytest
from promptflow._utils.exception_utils import ErrorResponse
from promptflow._utils.logger_utils import LogContext
from promptflow.contracts.run_info import Status
from promptflow.contracts.run_mode import RunMode
from promptflow.executor._f... | promptflow/src/promptflow/tests/executor/e2etests/test_concurent_execution.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/e2etests/test_concurent_execution.py",
"repo_id": "promptflow",
"token_count": 1258
} | 50 |
{# Please replace the template with your own prompt. #}
Write a simple program that displays the greeting message: "{{text}}" when executed.
| promptflow/src/promptflow/tests/executor/package_tools/custom_llm_tool/my_prompt.jinja2/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/package_tools/custom_llm_tool/my_prompt.jinja2",
"repo_id": "promptflow",
"token_count": 33
} | 51 |
import pytest
from promptflow._core.generator_proxy import GeneratorProxy, generate_from_proxy
def generator():
for i in range(3):
yield i
def iterator():
return iter([0, 1, 2])
@pytest.mark.unittest
def test_generator_proxy_next():
proxy = GeneratorProxy(generator())
assert proxy.items =... | promptflow/src/promptflow/tests/executor/unittests/_core/test_generator_proxy.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/_core/test_generator_proxy.py",
"repo_id": "promptflow",
"token_count": 666
} | 52 |
import io
import logging
import time
from multiprocessing.pool import ThreadPool
from pathlib import Path
from tempfile import mkdtemp
from unittest.mock import Mock
from uuid import uuid4
import pytest
from promptflow._utils.credential_scrubber import CredentialScrubber
from promptflow._utils.logger_utils import (
... | promptflow/src/promptflow/tests/executor/unittests/_utils/test_logger_utils.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/_utils/test_logger_utils.py",
"repo_id": "promptflow",
"token_count": 4473
} | 53 |
import json
import pytest
from promptflow._sdk._constants import VIS_JS_BUNDLE_FILENAME
from promptflow.contracts._run_management import VisualizationRender
@pytest.mark.unittest
def test_visualization_render():
data = {"key": "value"}
viz = VisualizationRender(data)
assert viz.data == json.dumps(json... | promptflow/src/promptflow/tests/executor/unittests/contracts/test_run_management.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/contracts/test_run_management.py",
"repo_id": "promptflow",
"token_count": 135
} | 54 |
import multiprocessing
import os
import sys
import uuid
from multiprocessing import Queue
from pathlib import Path
from tempfile import mkdtemp
from unittest.mock import patch
import pytest
from pytest_mock import MockFixture
from promptflow._utils.logger_utils import LogContext
from promptflow.contracts.run_info imp... | promptflow/src/promptflow/tests/executor/unittests/processpool/test_line_execution_process_pool.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/processpool/test_line_execution_process_pool.py",
"repo_id": "promptflow",
"token_count": 10244
} | 55 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import json
from pathlib import Path
import pytest
from promptflow.azure._entities._flow import Flow
from .._azure_utils import DEFAULT_T... | promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_operations.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_operations.py",
"repo_id": "promptflow",
"token_count": 751
} | 56 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from pathlib import Path
from unittest.mock import patch
import pytest
from promptflow._sdk._errors import FlowOperationError
from promptf... | promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_flow_operations.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_flow_operations.py",
"repo_id": "promptflow",
"token_count": 1471
} | 57 |
import uuid
from pathlib import Path
import pydash
import pytest
from promptflow._sdk._constants import SCRUBBED_VALUE
from promptflow._sdk._pf_client import PFClient
from promptflow._sdk.entities import AzureOpenAIConnection, CustomConnection
_client = PFClient()
TEST_ROOT = Path(__file__).parent.parent.parent
CON... | promptflow/src/promptflow/tests/sdk_cli_test/e2etests/test_connection.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/e2etests/test_connection.py",
"repo_id": "promptflow",
"token_count": 2245
} | 58 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/CustomConnection.schema.json
name: my_custom_connection
type: custom
configs:
key1: "test1"
secrets: # must-have
key2: "test2"
| promptflow/src/promptflow/tests/test_configs/connections/custom_connection.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/connections/custom_connection.yaml",
"repo_id": "promptflow",
"token_count": 76
} | 59 |
{"input_val": "input1"}
| promptflow/src/promptflow/tests/test_configs/datas/simple_eager_flow_data.jsonl/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/datas/simple_eager_flow_data.jsonl",
"repo_id": "promptflow",
"token_count": 10
} | 60 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Experiment.schema.json
description: Basic experiment without script node
data:
- name: my_data
path: ../../flows/web_classification/data.jsonl
inputs:
- name: my_input
type: int
default: 1
nodes:
- name: main
type: flow
path: ... | promptflow/src/promptflow/tests/test_configs/experiments/basic-no-script-template/basic.exp.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/experiments/basic-no-script-template/basic.exp.yaml",
"repo_id": "promptflow",
"token_count": 301
} | 61 |
{"groundtruth": "Tomorrow's weather will be sunny.","prediction": "The weather will be sunny tomorrow."}
{"groundtruth": "Hello,","prediction": "World."}
{"groundtruth": "Promptflow is a super easy-to-use tool, right?","prediction": "Yes!"}
| promptflow/src/promptflow/tests/test_configs/flows/aggregation_node_failed/data.jsonl/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/aggregation_node_failed/data.jsonl",
"repo_id": "promptflow",
"token_count": 70
} | 62 |
[{"text": "Hello World!"}]
| promptflow/src/promptflow/tests/test_configs/flows/basic-with-connection/samples.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/basic-with-connection/samples.json",
"repo_id": "promptflow",
"token_count": 11
} | 63 |
from promptflow import tool
@tool
def show_answer(chat_answer: str):
print("print:", chat_answer)
return chat_answer
| promptflow/src/promptflow/tests/test_configs/flows/chat_flow/show_answer.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/chat_flow/show_answer.py",
"repo_id": "promptflow",
"token_count": 43
} | 64 |
inputs:
chat_history:
type: list
is_chat_history: true
question:
type: string
is_chat_input: true
outputs:
answer:
type: string
reference: ${stream.output.answer}
is_chat_output: true
nodes:
- name: stream
type: python
source:
type: code
path: stream.py
inputs:
chat_h... | promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_python_node_streaming_output/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_python_node_streaming_output/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 154
} | 65 |
{
"input1": "False",
"input2": "False",
"input3": "False",
"input4": "False"
} | promptflow/src/promptflow/tests/test_configs/flows/concurrent_execution_flow/inputs.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/concurrent_execution_flow/inputs.json",
"repo_id": "promptflow",
"token_count": 39
} | 66 |
from promptflow import tool
from promptflow import log_metric
@tool
def average(input: list):
avg, cnt = 0, 0
for num in input:
if num!=None:
avg += num
cnt += 1
if len(input) > 0:
avg = avg/cnt
log_metric("average", avg)
return avg
| promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/aggregation_node.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/aggregation_node.py",
"repo_id": "promptflow",
"token_count": 108
} | 67 |
#! /bin/bash
CONDA_ENV_PATH="$(conda info --base)/envs/promptflow-serve"
export PATH="$CONDA_ENV_PATH/bin:$PATH"
ls
ls /connections
pf connection create --file /connections/custom_connection.yaml
echo "start promptflow serving with worker_num: 8, worker_threads: 1"
cd /flow
gunicorn -w 8 --threads 1 -b "0.0.0.0:8080"... | promptflow/src/promptflow/tests/test_configs/flows/export/linux/runit/promptflow-serve/run/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/export/linux/runit/promptflow-serve/run",
"repo_id": "promptflow",
"token_count": 147
} | 68 |
from promptflow import tool
@tool
def get_dict_val(key):
# get from env var
print(key)
if not isinstance(key, dict):
raise TypeError(f"key must be a dict, got {type(key)}")
return {"value": f"{key}: {type(key)}", "origin_value": key}
| promptflow/src/promptflow/tests/test_configs/flows/flow_with_dict_input/get_dict_val.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_dict_input/get_dict_val.py",
"repo_id": "promptflow",
"token_count": 103
} | 69 |
inputs:
text:
type: string
outputs:
output_prompt:
type: string
reference: ${echo_my_prompt.output}
nodes:
- inputs:
text: ${inputs.text}
name: echo_my_prompt
type: python
source:
type: code
path: hello.py
node_variants: {}
| promptflow/src/promptflow/tests/test_configs/flows/flow_with_invalid_import/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_invalid_import/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 111
} | 70 |
inputs:
text:
type: string
default: Hello!
outputs:
out:
type: string
reference: ${My_First_Tool_00f8.output}
nodes:
- name: My_Second_Tool_usi3
type: python
source:
type: package
tool: my_tool_package.tools.my_tool_2.MyTool.my_tool
inputs:
connection: custom_strong_type_connection... | promptflow/src/promptflow/tests/test_configs/flows/flow_with_package_tool_with_custom_strong_type_connection/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_package_tool_with_custom_strong_type_connection/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 237
} | 71 |
import asyncio
from time import sleep
from promptflow import tool, trace
@trace
async def is_valid_name(name):
await asyncio.sleep(0.5)
return len(name) > 0
@trace
async def get_user_name(user_id):
await asyncio.sleep(0.5)
user_name = f"User {user_id}"
if not await is_valid_name(user_name):
... | promptflow/src/promptflow/tests/test_configs/flows/flow_with_trace_async/greetings.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_trace_async/greetings.py",
"repo_id": "promptflow",
"token_count": 276
} | 72 |
import time
from promptflow import tool
def f1():
time.sleep(61)
return 0
def f2():
return f1()
@tool
def long_run_func():
return f2()
| promptflow/src/promptflow/tests/test_configs/flows/long_run/long_run.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/long_run/long_run.py",
"repo_id": "promptflow",
"token_count": 65
} | 73 |
from promptflow import tool
import random
@tool
def my_python_tool(idx: int) -> int:
return idx | promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/my_python_tool.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/my_python_tool.py",
"repo_id": "promptflow",
"token_count": 35
} | 74 |
{
"text": "Hello World!"
} | promptflow/src/promptflow/tests/test_configs/flows/python_stream_tools/inputs.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/python_stream_tools/inputs.json",
"repo_id": "promptflow",
"token_count": 14
} | 75 |
inputs:
image:
type: image
default: ""
outputs:
output:
type: image
reference: ${python_node_2.output}
nodes:
- name: python_node
type: python
source:
type: code
path: pick_an_image.py
inputs:
image_1: ${inputs.image}
image_2: logo_2.png
- name: python_node_2
type: python
s... | promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_invalid_default_value/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_invalid_default_value/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 193
} | 76 |
from pathlib import Path
from promptflow import tool
print(f"The script is {__file__}")
assert Path(__file__).is_absolute(), f"__file__ should be absolute path, got {__file__}"
@tool
def my_python_tool(input1: str) -> str:
from pathlib import Path
assert Path(__file__).name == "script_with___file__.py"
... | promptflow/src/promptflow/tests/test_configs/flows/script_with___file__/script_with___file__.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/script_with___file__/script_with___file__.py",
"repo_id": "promptflow",
"token_count": 165
} | 77 |
{"num": "hello"} | promptflow/src/promptflow/tests/test_configs/flows/simple_flow_with_python_tool/inputs.jsonl/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/simple_flow_with_python_tool/inputs.jsonl",
"repo_id": "promptflow",
"token_count": 6
} | 78 |
from promptflow import tool
from promptflow.contracts.types import AssistantDefinition
@tool
def test_assistant_definition(message: str, assistant_definition: AssistantDefinition):
assert assistant_definition.model == "mock_model"
assert assistant_definition.instructions == "mock_instructions"
invoker = a... | promptflow/src/promptflow/tests/test_configs/flows/tool_with_assistant_definition/test_assistant_definition.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/tool_with_assistant_definition/test_assistant_definition.py",
"repo_id": "promptflow",
"token_count": 283
} | 79 |
{"url": "https://www.youtube.com/watch?v=o5ZQyXaAv1g", "answer": "Channel", "evidence": "Url"}
{"url": "https://www.youtube.com/watch?v=o5ZQyXaAv1g", "answer": "Channel", "evidence": "Url"}
{"url": "https://www.youtube.com/watch?v=o5ZQyXaAv1g", "answer": "Channel", "evidence": "Url"}
| promptflow/src/promptflow/tests/test_configs/flows/web_classification_input_dir/details.jsonl/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/web_classification_input_dir/details.jsonl",
"repo_id": "promptflow",
"token_count": 120
} | 80 |
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_list_flows.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_list_flows.yaml",
"repo_id": "promptflow",
"token_count": 5582
} | 81 |
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_details_against_partial_completed_run.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_get_details_against_partial_completed_run.yaml",
"repo_id": "promptflow",
"token_count": 175043
} | 82 |
name: flow_run_20230629_101205
description: sample bulk run
# invalid remote flow format should not be supported.
flow: invalid_remote_flow
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
# run config: env related
environment_variables: env_fil... | promptflow/src/promptflow/tests/test_configs/runs/bulk_run_invalid_remote_flow_str.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/runs/bulk_run_invalid_remote_flow_str.yaml",
"repo_id": "promptflow",
"token_count": 105
} | 83 |
{
"test_tool.tool_with_generated_by_input.my_tool": {
"name": "Tool with Generated By Input",
"type": "python",
"inputs": {
"index_json": {
"type": [
"string"
],
"generated_by": {
"func_path": "test_tool.tool_with_generated_by_input.generate_index_json",
... | promptflow/src/promptflow/tests/test_configs/tools/expected_generated_by_meta.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/tools/expected_generated_by_meta.json",
"repo_id": "promptflow",
"token_count": 3786
} | 84 |
inputs:
num:
type: int
outputs:
content:
type: string
reference: ${divide_num.output}
nodes:
- name: divide_num
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${inputs.num}
- name: divide_num_1
type: python
source:
type: code
path: divide_num.py
inputs:
... | promptflow/src/promptflow/tests/test_configs/wrong_flows/node_reference_not_found/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/wrong_flows/node_reference_not_found/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 209
} | 85 |
# Run prompt flow in Azure AI
:::{admonition} Experimental feature
This is an experimental feature, and may change at any time. Learn [more](../../how-to-guides/faq.md#stable-vs-experimental).
:::
Assuming you have learned how to create and run a flow following [Quick start](../../how-to-guides/quick-start.md). This ... | promptflow/docs/cloud/azureai/quick-start.md/0 | {
"file_path": "promptflow/docs/cloud/azureai/quick-start.md",
"repo_id": "promptflow",
"token_count": 2002
} | 0 |
# Deploy a flow using Kubernetes
:::{admonition} Experimental feature
This is an experimental feature, and may change at any time. Learn [more](../faq.md#stable-vs-experimental).
:::
There are four steps to deploy a flow using Kubernetes:
1. Build the flow as docker format.
2. Build the docker image.
3. Create Kuberne... | promptflow/docs/how-to-guides/deploy-a-flow/deploy-using-kubernetes.md/0 | {
"file_path": "promptflow/docs/how-to-guides/deploy-a-flow/deploy-using-kubernetes.md",
"repo_id": "promptflow",
"token_count": 2398
} | 1 |
# Using File Path as Tool Input
Users sometimes need to reference local files within a tool to implement specific logic. To simplify this, we've introduced the `FilePath` input type. This input type enables users to either select an existing file or create a new one, then pass it to a tool, allowing the tool to access... | promptflow/docs/how-to-guides/develop-a-tool/use-file-path-as-tool-input.md/0 | {
"file_path": "promptflow/docs/how-to-guides/develop-a-tool/use-file-path-as-tool-input.md",
"repo_id": "promptflow",
"token_count": 1804
} | 2 |
# Alternative LLMs
This section provides tutorials on incorporating alternative large language models into prompt flow.
```{toctree}
:maxdepth: 1
:hidden:
``` | promptflow/docs/integrations/llms/index.md/0 | {
"file_path": "promptflow/docs/integrations/llms/index.md",
"repo_id": "promptflow",
"token_count": 43
} | 3 |
# Python
## Introduction
Users are empowered by the Python Tool to offer customized code snippets as self-contained executable nodes in PromptFlow.
Users can effortlessly create Python tools, edit code, and verify results with ease.
## Inputs
| Name | Type | Description |... | promptflow/docs/reference/tools-reference/python-tool.md/0 | {
"file_path": "promptflow/docs/reference/tools-reference/python-tool.md",
"repo_id": "promptflow",
"token_count": 1821
} | 4 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/SerpConnection.schema.json
name: serp_connection
type: serp
api_key: "<to-be-replaced>"
| promptflow/examples/connections/serp.yml/0 | {
"file_path": "promptflow/examples/connections/serp.yml",
"repo_id": "promptflow",
"token_count": 59
} | 5 |
import os
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
PDF_DIR = os.path.join(BASE_DIR, ".pdfs")
INDEX_DIR = os.path.join(BASE_DIR, ".index/.pdfs/")
| promptflow/examples/flows/chat/chat-with-pdf/chat_with_pdf/constants.py/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/chat_with_pdf/constants.py",
"repo_id": "promptflow",
"token_count": 73
} | 6 |
import unittest
import os
import time
import traceback
class BaseTest(unittest.TestCase):
def setUp(self):
root = os.path.join(os.path.dirname(os.path.abspath(__file__)), "../../")
self.flow_path = os.path.join(root, "chat-with-pdf")
self.data_path = os.path.join(
self.flow_pat... | promptflow/examples/flows/chat/chat-with-pdf/tests/base_test.py/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/tests/base_test.py",
"repo_id": "promptflow",
"token_count": 3126
} | 7 |
from typing import List
from promptflow import tool
@tool
def aggregate(groundedness_scores: List[float]):
"""
This tool aggregates the processed result of all lines to the variant level and log metric for each variant.
:param processed_results: List of the output of line_process node.
:param variant... | promptflow/examples/flows/evaluation/eval-groundedness/aggregate.py/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-groundedness/aggregate.py",
"repo_id": "promptflow",
"token_count": 350
} | 8 |
from promptflow import tool
import numpy as np
import re
@tool
def concat_results(gpt_coherence_score: str = None,
gpt_similarity_score: str = None,
gpt_fluency_score: str = None,
gpt_relevance_score: str = None,
gpt_groundedness_score: str =... | promptflow/examples/flows/evaluation/eval-qna-non-rag/concat_scores.py/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-qna-non-rag/concat_scores.py",
"repo_id": "promptflow",
"token_count": 1177
} | 9 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
metrics:
type: string
default: gpt_groundedness,gpt_relevance,gpt_retrieval_score
is_chat_input: false
answer:
type: string
default: Of the tents mentioned in the retrieved documents, the Alpine Explorer
... | promptflow/examples/flows/evaluation/eval-qna-rag-metrics/flow.dag.yaml/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-qna-rag-metrics/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 11138
} | 10 |
from promptflow import tool
@tool
def parse_translation(translation_results: dict, language: str) -> str:
return translation_results[language]
| promptflow/examples/flows/integrations/azure-ai-language/analyze_documents/parse_translation.py/0 | {
"file_path": "promptflow/examples/flows/integrations/azure-ai-language/analyze_documents/parse_translation.py",
"repo_id": "promptflow",
"token_count": 40
} | 11 |
from promptflow import tool
@tool
def generate_goal(items: list = []) -> str:
"""
Generate a numbered list from given items based on the item_type.
Args:
items (list): A list of items to be numbered.
Returns:
str: The formatted numbered list.
"""
return "\n".join(f"{i + 1}. {... | promptflow/examples/flows/standard/autonomous-agent/generate_goal.py/0 | {
"file_path": "promptflow/examples/flows/standard/autonomous-agent/generate_goal.py",
"repo_id": "promptflow",
"token_count": 132
} | 12 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
text:
type: string
default: Hello World!
outputs:
output:
type: string
reference: ${llm.output}
nodes:
- name: hello_prompt
type: prompt
source:
type: code
path: hello.jinja2
inputs:
text: ${in... | promptflow/examples/flows/standard/basic-with-connection/flow.dag.yaml/0 | {
"file_path": "promptflow/examples/flows/standard/basic-with-connection/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 243
} | 13 |
{"question": "What is Prompt flow?"}
{"question": "What is ChatGPT?"} | promptflow/examples/flows/standard/conditional-flow-for-if-else/data.jsonl/0 | {
"file_path": "promptflow/examples/flows/standard/conditional-flow-for-if-else/data.jsonl",
"repo_id": "promptflow",
"token_count": 22
} | 14 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
question:
type: string
default: Please describe this image.
input_image:
type: image
default: https://developer.microsoft.com/_devcom/images/logo-ms-social.png
outputs:
answer:
type: string
reference: ... | promptflow/examples/flows/standard/describe-image/flow.dag.yaml/0 | {
"file_path": "promptflow/examples/flows/standard/describe-image/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 359
} | 15 |
import asyncio
import logging
import time
import uuid
from typing import List
from openai.version import VERSION as OPENAI_VERSION
import os
from abc import ABC, abstractmethod
import tiktoken
from dotenv import load_dotenv
from prompt import PromptLimitException
class AOAI(ABC):
def __init__(self, **kwargs):
... | promptflow/examples/flows/standard/gen-docstring/azure_open_ai.py/0 | {
"file_path": "promptflow/examples/flows/standard/gen-docstring/azure_open_ai.py",
"repo_id": "promptflow",
"token_count": 5578
} | 16 |
# Math to Code
Math to Code is a project that utilizes the power of the chatGPT model to generate code that models math questions and then executes the generated code to obtain the final numerical answer.
> [!NOTE]
>
> Building a system that generates executable code from user input with LLM is [a complex problem with... | promptflow/examples/flows/standard/maths-to-code/README.md/0 | {
"file_path": "promptflow/examples/flows/standard/maths-to-code/README.md",
"repo_id": "promptflow",
"token_count": 1060
} | 17 |
import unittest
import traceback
import os
import promptflow.azure as azure
from azure.identity import DefaultAzureCredential, InteractiveBrowserCredential
import promptflow
class BaseTest(unittest.TestCase):
def setUp(self) -> None:
root = os.path.join(os.path.dirname(os.path.abspath(__file__)), "../")
... | promptflow/examples/flows/standard/named-entity-recognition/eval_test.py/0 | {
"file_path": "promptflow/examples/flows/standard/named-entity-recognition/eval_test.py",
"repo_id": "promptflow",
"token_count": 1876
} | 18 |
from pathlib import Path
from ruamel.yaml import YAML
def collect_tools_from_directory(base_dir) -> dict:
tools = {}
yaml = YAML()
for f in Path(base_dir).glob("**/*.yaml"):
with open(f, "r") as f:
tools_in_file = yaml.load(f)
for identifier, tool in tools_in_file.items():... | promptflow/examples/tools/tool-package-quickstart/my_tool_package/tools/utils.py/0 | {
"file_path": "promptflow/examples/tools/tool-package-quickstart/my_tool_package/tools/utils.py",
"repo_id": "promptflow",
"token_count": 236
} | 19 |
from my_tool_package.tools.tool_with_dynamic_list_input import my_tool, my_list_func
def test_my_tool():
result = my_tool(input_text=["apple", "banana"], input_prefix="My")
assert result == 'Hello My apple,banana'
def test_my_list_func():
result = my_list_func(prefix="My")
assert len(result) == 10
... | promptflow/examples/tools/tool-package-quickstart/tests/test_tool_with_dynamic_input.py/0 | {
"file_path": "promptflow/examples/tools/tool-package-quickstart/tests/test_tool_with_dynamic_input.py",
"repo_id": "promptflow",
"token_count": 132
} | 20 |
---
resources: examples/connections/azure_openai.yml, examples/flows/standard/web-classification
---
# Deploy flow using Azure App Service
This example demos how to deploy a flow using Azure App Service.
[Azure App Service](https://learn.microsoft.com/azure/app-service/) is an HTTP-based service for hosting web appl... | promptflow/examples/tutorials/flow-deploy/azure-app-service/README.md/0 | {
"file_path": "promptflow/examples/tutorials/flow-deploy/azure-app-service/README.md",
"repo_id": "promptflow",
"token_count": 872
} | 21 |
---
kind: Namespace
apiVersion: v1
metadata:
name: web-classification
---
apiVersion: v1
kind: Secret
metadata:
name: open-ai-connection-api-key
namespace: web-classification
type: Opaque
data:
open-ai-connection-api-key: <encoded_secret>
---
apiVersion: v1
kind: Service
metadata:
name: web-classification-ser... | promptflow/examples/tutorials/flow-deploy/kubernetes/deployment.yaml/0 | {
"file_path": "promptflow/examples/tutorials/flow-deploy/kubernetes/deployment.yaml",
"repo_id": "promptflow",
"token_count": 487
} | 22 |
import argparse
import os
import sys
from pathlib import Path
from utils import Color, run_command, print_red
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=Color.RED + "Test Coverage for Promptflow!" + Color.END + "\n")
parser.add_argument("-p", required=True, nargs="+", help="The p... | promptflow/scripts/building/run_coverage_tests.py/0 | {
"file_path": "promptflow/scripts/building/run_coverage_tests.py",
"repo_id": "promptflow",
"token_count": 1969
} | 23 |
# Curl Install Script Information
The scripts in this directory are used for installing through curl and they point to the packages on PyPI.
## Install or update promptflow
curl https://promptflowartifact.blob.core.windows.net/linux-install-scripts/install | bash
The script can also be downloaded and run locally. Y... | promptflow/scripts/installer/curl_install_pypi/README.md/0 | {
"file_path": "promptflow/scripts/installer/curl_install_pypi/README.md",
"repo_id": "promptflow",
"token_count": 305
} | 24 |
DIM objshell
set objshell = wscript.createobject("wscript.shell")
iReturn = objshell.run("pfs.bat start --force", 0, true) | promptflow/scripts/installer/windows/scripts/promptflow_service.vbs/0 | {
"file_path": "promptflow/scripts/installer/windows/scripts/promptflow_service.vbs",
"repo_id": "promptflow",
"token_count": 41
} | 25 |
- name: {{ step_name }}
uses: azure/login@v1
with:
creds: ${{ '{{' }} secrets.AZURE_CREDENTIALS }} | promptflow/scripts/readme/ghactions_driver/workflow_steps/step_azure_login.yml.jinja2/0 | {
"file_path": "promptflow/scripts/readme/ghactions_driver/workflow_steps/step_azure_login.yml.jinja2",
"repo_id": "promptflow",
"token_count": 47
} | 26 |
# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: {{ workflow_name }}
on:
schedule:
- cron: "{{ crontab }}" # {{ crontab_comment }... | promptflow/scripts/readme/ghactions_driver/workflow_templates/workflow_skeleton.yml.jinja2/0 | {
"file_path": "promptflow/scripts/readme/ghactions_driver/workflow_templates/workflow_skeleton.yml.jinja2",
"repo_id": "promptflow",
"token_count": 195
} | 27 |
import argparse
import os
import re
from jinja2 import Environment, FileSystemLoader
def make_pythonic_variable_name(input_string):
variable_name = input_string.strip()
variable_name = re.sub(r'\W|^(?=\d)', '_', variable_name)
if not variable_name[0].isalpha() and variable_name[0] != '_':
variable... | promptflow/scripts/tool/generate_tool_package_template.py/0 | {
"file_path": "promptflow/scripts/tool/generate_tool_package_template.py",
"repo_id": "promptflow",
"token_count": 2385
} | 28 |
import re
from azure.core.exceptions import HttpResponseError, ResourceExistsError
from azure.identity import ClientSecretCredential
from azure.keyvault.secrets import SecretClient
from exceptions import (
SecretNameAlreadyExistsException,
SecretNameInvalidException,
SecretNoSetPermissionException,
)
key_... | promptflow/scripts/tool/utils/secret_manager.py/0 | {
"file_path": "promptflow/scripts/tool/utils/secret_manager.py",
"repo_id": "promptflow",
"token_count": 894
} | 29 |
from openai import OpenAIError
from promptflow.exceptions import ErrorTarget, SystemErrorException, UserErrorException
openai_error_code_ref_message = "Error reference: https://platform.openai.com/docs/guides/error-codes/api-errors"
def to_openai_error_message(e: Exception) -> str:
ex_type = type(e).__name__
... | promptflow/src/promptflow-tools/promptflow/tools/exception.py/0 | {
"file_path": "promptflow/src/promptflow-tools/promptflow/tools/exception.py",
"repo_id": "promptflow",
"token_count": 3068
} | 30 |
import pytest
import json
from promptflow.tools.openai import chat, completion, OpenAI
from promptflow.tools.exception import WrappedOpenAIError
@pytest.fixture
def openai_provider(open_ai_connection) -> OpenAI:
return OpenAI(open_ai_connection)
@pytest.mark.usefixtures("use_secrets_config_file")
@pytest.mark.... | promptflow/src/promptflow-tools/tests/test_openai.py/0 | {
"file_path": "promptflow/src/promptflow-tools/tests/test_openai.py",
"repo_id": "promptflow",
"token_count": 3123
} | 31 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
# pylint: disable=wrong-import-position
import json
import time
from promptflow._cli._pf.help import show_privacy_statement, show_welcome_m... | promptflow/src/promptflow/promptflow/_cli/_pf_azure/entry.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/_pf_azure/entry.py",
"repo_id": "promptflow",
"token_count": 2094
} | 32 |
{"groundtruth": "App", "prediction": "App"}
| promptflow/src/promptflow/promptflow/_cli/data/evaluation_flow/data.jsonl/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/data/evaluation_flow/data.jsonl",
"repo_id": "promptflow",
"token_count": 15
} | 33 |
from traceback import TracebackException
from promptflow._utils.exception_utils import (
ADDITIONAL_INFO_USER_EXECUTION_ERROR,
is_pf_core_frame,
last_frame_info,
remove_suffix,
)
from promptflow.exceptions import ErrorTarget, SystemErrorException, UserErrorException, ValidationException
class Unexpec... | promptflow/src/promptflow/promptflow/_core/_errors.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_core/_errors.py",
"repo_id": "promptflow",
"token_count": 1699
} | 34 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
__path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore
# flake8: noqa
"""Put some imports here for internal pack... | promptflow/src/promptflow/promptflow/_internal/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_internal/__init__.py",
"repo_id": "promptflow",
"token_count": 1306
} | 35 |
# Prompt Flow Service
This document will describe the usage of pfs(prompt flow service) CLI.
### Start prompt flow service (optional)
If you don't install pfs as a service, you need to start pfs manually.
pfs CLI provides **start** command to start service. You can also use this command to specify the service port.
`... | promptflow/src/promptflow/promptflow/_sdk/_service/README.md/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_service/README.md",
"repo_id": "promptflow",
"token_count": 387
} | 36 |
# ---------------------------------------------------------
# Copyright (c) 2013-2022 Caleb P. Burns credits dahlia <https://github.com/dahlia>
# Licensed under the MPLv2 License. See License.txt in the project root for
# license information.
# ---------------------------------------------------------
"""
This file cod... | promptflow/src/promptflow/promptflow/_sdk/_vendor/_pathspec.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_vendor/_pathspec.py",
"repo_id": "promptflow",
"token_count": 10455
} | 37 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import abc
from typing import Dict, Optional
from promptflow._sdk._constants import BASE_PATH_CONTEXT_KEY, CommonYamlFields
from promptflow... | promptflow/src/promptflow/promptflow/_sdk/entities/_yaml_translatable.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/entities/_yaml_translatable.py",
"repo_id": "promptflow",
"token_count": 744
} | 38 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import os.path
from dotenv import dotenv_values
from marshmallow import fields, post_load, pre_load
from promptflow._sdk._utils import is_... | promptflow/src/promptflow/promptflow/_sdk/schemas/_run.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/schemas/_run.py",
"repo_id": "promptflow",
"token_count": 1523
} | 39 |
import tiktoken
from importlib.metadata import version
from promptflow.exceptions import UserErrorException
IS_LEGACY_OPENAI = version("openai").startswith("0.")
class OpenAIMetricsCalculator:
def __init__(self, logger=None) -> None:
self._logger = logger
def get_openai_metrics_from_api_call(self, ... | promptflow/src/promptflow/promptflow/_utils/openai_metrics_calculator.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_utils/openai_metrics_calculator.py",
"repo_id": "promptflow",
"token_count": 4184
} | 40 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
"""
This file stores functions and objects that will be used in prompt-flow sdk.
DO NOT change the module names in "all" list, add new modu... | promptflow/src/promptflow/promptflow/azure/_ml/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_ml/__init__.py",
"repo_id": "promptflow",
"token_count": 593
} | 41 |
# 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/_connections_operations.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_connections_operations.py",
"repo_id": "promptflow",
"token_count": 9090
} | 42 |
# 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/_connections_operations.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/operations/_connections_operations.py",
"repo_id": "promptflow",
"token_count": 13181
} | 43 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import re
class BulkRunURL:
"""Parser for a flow run URL."""
REGEX_PATTERN = ".*prompts/flow/([^/]+)/([^/]+)/bulktest/([^/]+).*"
... | promptflow/src/promptflow/promptflow/azure/_utils/_url_utils.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_utils/_url_utils.py",
"repo_id": "promptflow",
"token_count": 1057
} | 44 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from promptflow.exceptions import ErrorTarget, SystemErrorException, UserErrorException, ValidationException
class InputMappingError(Vali... | promptflow/src/promptflow/promptflow/batch/_errors.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/batch/_errors.py",
"repo_id": "promptflow",
"token_count": 143
} | 45 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
# flake8: noqa
from .flow_executor import FlowExecutor
from .flow_validator import FlowValidator
| promptflow/src/promptflow/promptflow/executor/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/executor/__init__.py",
"repo_id": "promptflow",
"token_count": 54
} | 46 |
import os
import pytest
from promptflow.executor import FlowExecutor
from ..utils import get_flow_folder, get_yaml_file
@pytest.mark.e2etest
class TestAsync:
@pytest.mark.parametrize(
"folder_name, concurrency_levels, expected_concurrency",
[
("async_tools", [1, 2, 3], [1, 2, 2]),
... | promptflow/src/promptflow/tests/executor/e2etests/test_async.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/e2etests/test_async.py",
"repo_id": "promptflow",
"token_count": 809
} | 47 |
from jinja2 import Template
from promptflow import ToolProvider, tool
from promptflow.connections import AzureOpenAIConnection
from promptflow.contracts.types import PromptTemplate
class TestCustomLLMTool(ToolProvider):
def __init__(self, connection: AzureOpenAIConnection):
super().__init__()
sel... | promptflow/src/promptflow/tests/executor/package_tools/custom_llm_tool.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/package_tools/custom_llm_tool.py",
"repo_id": "promptflow",
"token_count": 257
} | 48 |
import pytest
from promptflow._utils.execution_utils import apply_default_value_for_input
from promptflow.contracts.flow import FlowInputDefinition
from promptflow.contracts.tool import ValueType
@pytest.mark.unittest
class TestFlowExecutor:
@pytest.mark.parametrize(
"flow_inputs, inputs, expected_inputs... | promptflow/src/promptflow/tests/executor/unittests/_utils/test_execution_utils.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/_utils/test_execution_utils.py",
"repo_id": "promptflow",
"token_count": 1270
} | 49 |
from pathlib import Path
import pytest
from promptflow._sdk.entities._connection import AzureContentSafetyConnection
from promptflow.contracts._errors import FailedToImportModule
from promptflow.contracts.flow import (
Flow,
FlowInputAssignment,
FlowInputDefinition,
FlowOutputDefinition,
InputAssi... | promptflow/src/promptflow/tests/executor/unittests/contracts/test_flow.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/contracts/test_flow.py",
"repo_id": "promptflow",
"token_count": 15418
} | 50 |
import re
import sys
from pathlib import Path
from typing import List
from unittest.mock import mock_open
import pytest
from jinja2 import TemplateSyntaxError
from promptflow._core._errors import InvalidSource
from promptflow._core.tools_manager import ToolLoader
from promptflow._internal import tool
from promptflow.... | promptflow/src/promptflow/tests/executor/unittests/executor/test_tool_resolver.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/executor/test_tool_resolver.py",
"repo_id": "promptflow",
"token_count": 10851
} | 51 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import contextlib
import os
import sys
import uuid
from typing import Callable
import pytest
from mock.mock import patch
from promptflow._... | promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli_with_azure.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli_with_azure.py",
"repo_id": "promptflow",
"token_count": 3368
} | 52 |
import contextlib
import os
import sys
from pathlib import Path
from typing import List
from unittest.mock import MagicMock, patch
import pandas as pd
import pytest
from pytest_mock import MockFixture
from promptflow._sdk._constants import VIS_PORTAL_URL_TMPL
tests_root_dir = Path(__file__).parent.parent.parent
flow... | promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cli.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cli.py",
"repo_id": "promptflow",
"token_count": 5953
} | 53 |
ENVIRON_TEST_MODE = "PROMPT_FLOW_TEST_MODE"
class RecordMode:
LIVE = "live"
RECORD = "record"
REPLAY = "replay"
| promptflow/src/promptflow/tests/sdk_cli_test/recording_utilities/constants.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/recording_utilities/constants.py",
"repo_id": "promptflow",
"token_count": 60
} | 54 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import importlib.util
from pathlib import Path
import pytest
TOOL_DIR = Path("./tests/test_configs/tools")
@pytest.mark.unittest
class T... | promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_tool.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_tool.py",
"repo_id": "promptflow",
"token_count": 1585
} | 55 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/AzureContentSafetyConnection.schema.json
name: my_azure_content_safety_connection
type: azure_content_safety # snake case
api_key: "<to-be-replaced>"
endpoint: "endpoint"
api_version: "2023-04-30-preview"
api_type: Content Safety
| promptflow/src/promptflow/tests/test_configs/connections/azure_content_safety_connection.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/connections/azure_content_safety_connection.yaml",
"repo_id": "promptflow",
"token_count": 106
} | 56 |
{"key": {"key": "value in data"}}
| promptflow/src/promptflow/tests/test_configs/datas/dictInput1.jsonl/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/datas/dictInput1.jsonl",
"repo_id": "promptflow",
"token_count": 13
} | 57 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
def my_flow():
"""Simple flow without yaml."""
print("Hello world!")
| promptflow/src/promptflow/tests/test_configs/eager_flows/flow_with_environment/entry.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/eager_flows/flow_with_environment/entry.py",
"repo_id": "promptflow",
"token_count": 52
} | 58 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
def my_flow(input_val: str = "gpt") -> str:
"""Simple flow without yaml."""
return f"Hello world! {input_val}"
| promptflow/src/promptflow/tests/test_configs/eager_flows/simple_with_yaml/entry.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/eager_flows/simple_with_yaml/entry.py",
"repo_id": "promptflow",
"token_count": 70
} | 59 |
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