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promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/run_with_connections.yaml | flow: ../flows/web_classification
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
# run config: env related
environment_variables: env_file
connections:
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promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/bulk_run_invalid_flow_path.yaml | name: flow_run_20230629_101205
description: sample bulk run
# flow relative to current working directory should not be supported.
flow: tests/test_configs/flows/web_classification
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
# run config: en... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/run_with_connections_model.yaml | flow: ../flows/web_classification
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
# run config: env related
environment_variables: env_file
connections:
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connection: new_ai_connection
# model is also supported ... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/sample_bulk_run.yaml | name: flow_run_20230629_101205
description: sample bulk run
flow: ../flows/web_classification
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
# run config: env related
environment_variables: env_file
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promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/bulk_run_invalid_remote_flow_str.yaml | name: flow_run_20230629_101205
description: sample bulk run
# invalid remote flow format should not be supported.
flow: invalid_remote_flow
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
# run config: env related
environment_variables: env_fil... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/sample_bulk_run_with_resources.yaml | name: flow_run_20230629_101205
flow: ../flows/web_classification
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
resources:
instance_type: Standard_D2 # optional, server default value
idle_time_before_shutdown_minutes: 60 #optional, server ... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/extra_field.yaml | name: flow_run_20230629_101205
description: sample bulk run
flow: ../flows/web_classification
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
extra_key: extra_value
# run config: env related
environment_variables: env_file | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/sample_eval_run.yaml | flow: ../flows/classification_accuracy_evaluation
data: ../datas/webClassification1.jsonl
column_mapping:
groundtruth: "${data.answer}"
prediction: "${run.outputs.category}"
variant_id: "${data.variant_id}"
run: flow_run_20230629_101205 # ./sample_bulk_run.yaml
# run config: env related
environment_variables: en... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/sample_bulk_run_cloud.yaml | name: flow_run_20230629_101205
flow: ../flows/web_classification
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
# run config: env related
environment_variables: env_file
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/run_with_env.yaml | flow: ../flows/print_env_var
data: ../datas/env_var_names.jsonl
# run config: env related
environment_variables:
API_BASE: ${azure_open_ai_connection.api_base}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/input_with_dict_val.yaml | flow: ../flows/flow_with_dict_input
data: ../datas/webClassification1.jsonl
column_mapping:
key:
val1: 1
val2: 2
url: ${data.url}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/illegal/non_exist_data.yaml | flow: ../flows/classification_accuracy_evaluation
data: not_exist
column_mapping:
groundtruth: "${data.answer}"
prediction: "${run.outputs.category}"
run: flow_run_20230629_101205 # ./sample_bulk_run.yaml
# run config: env related
environment_variables: .env
# optional
connections:
node_1:
connection: ... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/illegal/missing_data.yaml | flow: ../flows/classification_accuracy_evaluation
column_mapping:
groundtruth: "${data.answer}"
prediction: "${run.outputs.category}"
run: flow_run_20230629_101205 # ./sample_bulk_run.yaml
# run config: env related
environment_variables: .env
# optional
connections:
node_1:
connection: test_llm_connect... | 0 |
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promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts/convert_to_dict/000000002.jsonl | {"node_name": "convert_to_dict", "line_number": 2, "run_info": {"node": "convert_to_dict", "flow_run_id": "web_classification_variant_0_20231205_120253_104100", "run_id": "web_classification_variant_0_20231205_120253_104100_convert_to_dict_2", "status": "Completed", "inputs": {"input_str": "{\"category\": \"App\", \"ev... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts/convert_to_dict/000000000.jsonl | {"node_name": "convert_to_dict", "line_number": 0, "run_info": {"node": "convert_to_dict", "flow_run_id": "web_classification_variant_0_20231205_120253_104100", "run_id": "web_classification_variant_0_20231205_120253_104100_convert_to_dict_0", "status": "Completed", "inputs": {"input_str": "{\"category\": \"None\", \"e... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts/prepare_examples/000000001.jsonl | {"node_name": "prepare_examples", "line_number": 1, "run_info": {"node": "prepare_examples", "flow_run_id": "web_classification_variant_0_20231205_120253_104100", "run_id": "web_classification_variant_0_20231205_120253_104100_prepare_examples_1", "status": "Completed", "inputs": {}, "output": [{"url": "https://play.goo... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts/prepare_examples/000000002.jsonl | {"node_name": "prepare_examples", "line_number": 2, "run_info": {"node": "prepare_examples", "flow_run_id": "web_classification_variant_0_20231205_120253_104100", "run_id": "web_classification_variant_0_20231205_120253_104100_prepare_examples_2", "status": "Completed", "inputs": {}, "output": [{"url": "https://play.goo... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts/prepare_examples/000000000.jsonl | {"node_name": "prepare_examples", "line_number": 0, "run_info": {"node": "prepare_examples", "flow_run_id": "web_classification_variant_0_20231205_120253_104100", "run_id": "web_classification_variant_0_20231205_120253_104100_prepare_examples_0", "status": "Completed", "inputs": {}, "output": [{"url": "https://play.goo... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts/fetch_text_content_from_url/000000001.jsonl | {"node_name": "fetch_text_content_from_url", "line_number": 1, "run_info": {"node": "fetch_text_content_from_url", "flow_run_id": "web_classification_variant_0_20231205_120253_104100", "run_id": "web_classification_variant_0_20231205_120253_104100_fetch_text_content_from_url_1", "status": "Completed", "inputs": {"url":... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts/fetch_text_content_from_url/000000002.jsonl | {"node_name": "fetch_text_content_from_url", "line_number": 2, "run_info": {"node": "fetch_text_content_from_url", "flow_run_id": "web_classification_variant_0_20231205_120253_104100", "run_id": "web_classification_variant_0_20231205_120253_104100_fetch_text_content_from_url_2", "status": "Completed", "inputs": {"url":... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/node_artifacts/fetch_text_content_from_url/000000000.jsonl | {"node_name": "fetch_text_content_from_url", "line_number": 0, "run_info": {"node": "fetch_text_content_from_url", "flow_run_id": "web_classification_variant_0_20231205_120253_104100", "run_id": "web_classification_variant_0_20231205_120253_104100_fetch_text_content_from_url_0", "status": "Completed", "inputs": {"url":... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/flow_artifacts/000000000_000000024.jsonl | {"line_number": 0, "run_info": {"run_id": "web_classification_variant_0_20231205_120253_104100_0", "status": "Completed", "error": null, "inputs": {"url": "https://www.youtube.com/watch?v=kYqRtjDBci8", "line_number": 0}, "output": {"category": "None", "evidence": "None"}, "metrics": null, "request": null, "parent_run_i... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/data.jsonl | {"url": "https://www.youtube.com/watch?v=kYqRtjDBci8", "answer": "Channel", "evidence": "Both"}
{"url": "https://arxiv.org/abs/2307.04767", "answer": "Academic", "evidence": "Both"}
{"url": "https://play.google.com/store/apps/details?id=com.twitter.android", "answer": "App", "evidence": "Both"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/convert_to_dict.py | import json
from promptflow import tool
@tool
def convert_to_dict(input_str: str):
try:
return json.loads(input_str)
except Exception as e:
print("The input is not valid, error: {}".format(e))
return {"category": "None", "evidence": "None"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/README.md | # Web Classification
This is a flow demonstrating multi-class classification with LLM. Given an url, it will classify the url into one web category with just a few shots, simple summarization and classification prompts.
## Tools used in this flow
- LLM Tool
- Python Tool
## What you will learn
In this flow, you wil... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/run.yml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/Run.schema.json
flow: .
data: data.jsonl
variant: ${summarize_text_content.variant_1}
column_mapping:
url: ${data.url}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/fetch_text_content_from_url.py | import bs4
import requests
from promptflow import tool
@tool
def fetch_text_content_from_url(url: str):
# Send a request to the URL
try:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/113.0.0.0 Safari/537.3... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/classify_with_llm.jinja2 | system:
Your task is to classify a given url into one of the following categories:
Movie, App, Academic, Channel, Profile, PDF or None based on the text content information.
The classification will be based on the url, the webpage text content summary, or both.
user:
The selection range of the value of "category" must... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/summarize_text_content__variant_1.jinja2 | system:
Please summarize some keywords of this paragraph and have some details of each keywords.
Do not add any information that is not in the text.
user:
Text: {{text}}
Summary: | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/prepare_examples.py | from promptflow import tool
@tool
def prepare_examples():
return [
{
"url": "https://play.google.com/store/apps/details?id=com.spotify.music",
"text_content": "Spotify is a free music and podcast streaming app with millions of songs, albums, and "
"original podcasts. It... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/run_evaluation.yml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/Run.schema.json
flow: ../../evaluation/eval-classification-accuracy
data: data.jsonl
run: web_classification_variant_1_20230724_173442_973403 # replace with your run name
column_mapping:
groundtruth: ${data.answer}
prediction: ${run.outputs.category} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/requirements.txt | promptflow[azure]
promptflow-tools
bs4 | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/flow.dag.yaml | inputs:
url:
type: string
default: https://play.google.com/store/apps/details?id=com.twitter.android
is_chat_input: false
outputs:
category:
type: string
reference: ${convert_to_dict.output.category}
evaluation_only: false
is_chat_output: false
evidence:
type: string
reference:... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/snapshot/summarize_text_content.jinja2 | system:
Please summarize the following text in one paragraph. 100 words.
Do not add any information that is not in the text.
user:
Text: {{text}}
Summary: | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/flow_outputs/output.jsonl | {"line_number": 0, "category": "None", "evidence": "None"}
{"line_number": 1, "category": "Academic", "evidence": "Both"}
{"line_number": 2, "category": "App", "evidence": "Both"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/configs/mock_flow_empty_config | promptflow_repo/promptflow/src/promptflow/tests/test_configs/configs/mock_flow_empty_config/.azureml/config.json | {
"subscription_id": "",
"resource_group": "",
"workspace_name": ""
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/configs/mock_flow1 | promptflow_repo/promptflow/src/promptflow/tests/test_configs/configs/mock_flow1/.azureml/config.json | {
"subscription_id": "sub1",
"resource_group": "rg1",
"workspace_name": "ws1"
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/configs/.azureml/config.json | {
"subscription_id": "sub_default",
"resource_group": "rg_default",
"workspace_name": "ws_default"
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.bak | 'aadb0707e9a62b00df9d0d3fecb709ece90a8b67', (0, 2261)
'28e341291f602cdf951239f0152fa9e26deb501b', (67584, 3359)
'e25f352dc22315a0e2c3ee2a3cd629763fc0ae5e', (9216, 3302)
'dc8625906abf86f47f2c52b461f108ab6b98a1cf', (12800, 3795)
'a30838607856c1b8efd522af93ea1edb88f57b4f', (16896, 3671)
'4f7cfc5331a898e9c7abb00e2d0f6f818d... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.dir | 'aadb0707e9a62b00df9d0d3fecb709ece90a8b67', (0, 2261)
'28e341291f602cdf951239f0152fa9e26deb501b', (67584, 3359)
'e25f352dc22315a0e2c3ee2a3cd629763fc0ae5e', (9216, 3302)
'dc8625906abf86f47f2c52b461f108ab6b98a1cf', (12800, 3795)
'a30838607856c1b8efd522af93ea1edb88f57b4f', (16896, 3671)
'4f7cfc5331a898e9c7abb00e2d0f6f818d... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/eval_flow_with_simple_image/pick_an_image.py | import random
from promptflow.contracts.multimedia import Image
from promptflow import tool
@tool
def pick_an_image(image_1: Image, image_2: Image) -> Image:
if random.choice([True, False]):
return image_1
else:
return image_2
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/eval_flow_with_simple_image/inputs.jsonl | {"image": {"data:image/png;path":"logo.jpg"}}
{"image": {"data:image/png;path":"logo_2.png"}} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/eval_flow_with_simple_image/flow.dag.yaml | inputs:
image:
type: image
default: logo.jpg
outputs:
output:
type: image
reference: ${python_node.output}
nodes:
- name: python_node
type: python
source:
type: code
path: pick_an_image.py
inputs:
image_1: ${inputs.image}
image_2:
data:image/png;path: logo_2.png
- name: a... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/eval_flow_with_simple_image/merge_images.py | from promptflow import tool
@tool
def merge_images(image_1: list, image_2: list, image_3: list):
res = set()
res.add(image_1[0])
res.add(image_2[0])
res.add(image_3[0])
return list(res)
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/script_tool_with_init/script_tool_with_init.py | from promptflow import ToolProvider, tool
class ScriptToolWithInit(ToolProvider):
def __init__(self, init_input: str):
super().__init__()
self.init_input = init_input
@tool
def call(self, input: str):
return str.join(" ", [self.init_input, input])
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/script_tool_with_init/flow.dag.yaml | inputs:
input:
type: string
default: World
outputs:
output:
type: string
reference: ${script_tool_with_init.output}
nodes:
- name: script_tool_with_init
type: python
source:
type: code
path: script_tool_with_init.py
inputs:
init_input: Hello
input: ${inputs.input}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/async_tools/flow.dag.yaml | 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... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/async_tools/async_passthrough.py | from promptflow import tool
import asyncio
@tool
async def passthrough_str_and_wait(input1: str, wait_seconds=3) -> str:
assert isinstance(input1, str), f"input1 should be a string, got {input1}"
print(f"Wait for {wait_seconds} seconds in async function")
for i in range(wait_seconds):
print(i)
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_image/mock_chat.py | from promptflow import tool
from promptflow.contracts.multimedia import Image
@tool
def mock_chat(chat_history: list, question: list):
ensure_image_in_list(question, "question")
for item in chat_history:
ensure_image_in_list(item["inputs"]["question"], "inputs of chat history")
ensure_image_in... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_image/inputs.jsonl | {"chat_history":[{"inputs": {"question": ["the first question",{"data:image/jpg;path": "logo.jpg"}]},"outputs": {"answer": [{"data:image/jpg;path": "logo.jpg"}]}},{"inputs": {"question": ["the second question",{"data:image/png;path": "logo_2.png"}]},"outputs": {"answer": [{"data:image/png;path": "logo_2.png"}]}}],"ques... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_image/flow.dag.yaml | inputs:
chat_history:
type: list
default:
- inputs:
question:
- the first question
- data:image/jpg;path: logo.jpg
outputs:
answer:
- data:image/jpg;path: logo.jpg
- inputs:
question:
- the second question
- data:image/png;path: log... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/hello-world/hello_world.py | from promptflow import tool
@tool
def hello_world(name: str) -> str:
return f"Hello World {name}!"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/hello-world/flow.dag.yaml | inputs:
name:
type: string
default: hod
outputs:
result:
type: string
reference: ${hello_world.output}
nodes:
- name: hello_world
type: python
source:
type: code
path: hello_world.py
inputs:
name: ${inputs.name}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/hello-world | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/hello-world/.promptflow/flow.tools.json | {
"code": {
"hello_world.py": {
"type": "python",
"inputs": {
"name": {
"type": [
"string"
]
}
},
"source": "hello_world.py",
"function": "hello_world"
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_stream_tools/inputs.json | {
"text": "Hello World!"
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_stream_tools/echo_input.py | from promptflow import tool
@tool
def my_python_tool(input: str) -> str:
yield "Echo: "
for word in input.split():
yield word + " " | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_stream_tools/flow.dag.yaml | 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}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/eval-classification-accuracy/data.jsonl | {"groundtruth": "App","prediction": "App"}
{"groundtruth": "Channel","prediction": "Channel"}
{"groundtruth": "Academic","prediction": "Academic"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/eval-classification-accuracy/calculate_accuracy.py | from typing import List
from promptflow import log_metric, tool
@tool
def calculate_accuracy(grades: List[str]):
result = []
for index in range(len(grades)):
grade = grades[index]
result.append(grade)
# calculate accuracy for each variant
accuracy = round((result.count("Correct") / l... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/eval-classification-accuracy/grade.py | from promptflow import tool
@tool
def grade(groundtruth: str, prediction: str):
return "Correct" if groundtruth.lower() == prediction.lower() else "Incorrect"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/eval-classification-accuracy/flow.dag.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
groundtruth:
type: string
description: Please specify the groundtruth column, which contains the true label
to the outputs that your flow produces.
default: APP
prediction:
type: string
description: Pl... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/chat_flow_without_defined_chat_history/show_answer.py | from promptflow import tool
@tool
def show_answer(chat_answer: str):
print("print:", chat_answer)
return chat_answer
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/chat_flow_without_defined_chat_history/chat.jinja2 | system:
You are a helpful assistant.
{% for item in chat_history %}
user:
{{item.inputs.question}}
assistant:
{{item.outputs.answer}}
{% endfor %}
user:
{{question}} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/chat_flow_without_defined_chat_history/flow.dag.yaml | inputs:
chat_history:
type: list
is_chat_history: false
question:
type: string
is_chat_input: true
default: What is ChatGPT?
outputs:
answer:
type: string
reference: ${show_answer.output}
is_chat_output: true
nodes:
- inputs:
deployment_name: gpt-35-turbo
max_tokens: "256"
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/classification_accuracy_evaluation/calculate_accuracy.py | from typing import List
from promptflow import log_metric, tool
@tool
def calculate_accuracy(grades: List[str], variant_ids: List[str]):
aggregate_grades = {}
for index in range(len(grades)):
grade = grades[index]
variant_id = variant_ids[index]
if variant_id not in aggregate_grades.k... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/classification_accuracy_evaluation/aggregation_assert.py | from typing import List
from promptflow import tool
@tool
def aggregation_assert(input1: List[str], input2: List[str]):
assert isinstance(input1, list)
assert isinstance(input2, list)
assert len(input1) == len(input2)
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/classification_accuracy_evaluation/samples.json | [
{
"line_number": 0,
"variant_id": "variant_0",
"groundtruth": "App",
"prediction": "App"
},
{
"line_number": 1,
"variant_id": "variant_0",
"groundtruth": "Pdf",
"prediction": "PDF"
},
{
"line_number": 2,
"variant_id": "variant_0",
"groundtruth": "App",
"predic... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/classification_accuracy_evaluation/grade.py | from promptflow import tool
@tool
def grade(groundtruth: str, prediction: str):
groundtruth = groundtruth.lower().strip('"')
prediction = prediction.lower().strip('"')
return "Correct" if groundtruth == prediction else "Incorrect"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/classification_accuracy_evaluation/expected_status_summary.json | {
"grade.completed": 3,
"calculate_accuracy.completed": 1,
"aggregation_assert.completed": 1
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/classification_accuracy_evaluation/flow.dag.yaml | inputs:
variant_id:
type: string
groundtruth:
type: string
description: Please specify the groundtruth column, which contains the true label
to the outputs that your flow produces.
prediction:
type: string
description: Please specify the prediction column, which contains the predicted
... | 0 |
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