repo_id stringlengths 15 132 | file_path stringlengths 34 176 | content stringlengths 2 3.52M | __index_level_0__ int64 0 0 |
|---|---|---|---|
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/all_depedencies_bypassed_with_activate_met/pass_through.py | from promptflow import tool
@tool
def pass_through(input1: str="Execution") -> str:
return input1 | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/all_depedencies_bypassed_with_activate_met/expected_result.json | [
{
"expected_node_count": 2,
"expected_outputs": {
"output": "Execution"
},
"expected_bypassed_nodes": [
"nodeA"
]
}
] | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/all_depedencies_bypassed_with_activate_met/flow.dag.yaml | inputs:
text:
type: string
default: hi
outputs:
output:
type: string
reference: ${nodeB.output}
nodes:
- name: nodeA
type: python
source:
type: code
path: pass_through.py
inputs:
input1: ${inputs.text}
activate:
when: ${inputs.text}
is: world
- name: nodeB
type: python
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_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/python_tool_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/python_tool_with_simple_image/flow.dag.yaml | inputs:
image:
type: image
default: logo.jpg
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: pyth... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image/image_inputs/inputs.jsonl | {"image": {"data:image/png;path":"logo_1.png"}}
{"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/flow_with_ignore_file/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:
# time.sleep(130)
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chr... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_ignore_file/.amlignore | ignored_folder
*.ignored | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_ignore_file/flow.dag.yaml | id: web_classification
inputs:
url:
default: https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h
is_chat_input: false
type: string
nodes:
- inputs:
url: ${inputs.url}
name: fetch_text_content_from_url
reduce: false
source:
path: f... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/custom_connection_flow/flow.dag.yaml | inputs:
key:
type: string
outputs:
output:
type: string
reference: ${print_env.output.value}
nodes:
- name: print_env
type: python
source:
type: code
path: print_env.py
inputs:
key: ${inputs.key}
connection: custom_connection
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/custom_connection_flow/print_env.py | import os
from promptflow import tool
from promptflow.connections import CustomConnection
@tool
def get_env_var(key: str, connection: CustomConnection):
# get from env var
return {"value": os.environ.get(key)}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/custom_connection_flow | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/custom_connection_flow/.promptflow/flow.tools.json | {
"package": {},
"code": {
"print_env.py": {
"type": "python",
"inputs": {
"key": {
"type": [
"string"
]
}
},
"function": "get_env_var"
}
}
}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_script_tool_with_custom_strong_type_connection/data.jsonl | {"text": "Hello World!"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_script_tool_with_custom_strong_type_connection/my_script_tool.py | from promptflow import tool
from promptflow.connections import CustomStrongTypeConnection, CustomConnection
from promptflow.contracts.types import Secret
class MyCustomConnection(CustomStrongTypeConnection):
"""My custom strong type connection.
:param api_key: The api key.
:type api_key: String
:para... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_script_tool_with_custom_strong_type_connection/flow.dag.yaml | inputs:
text:
type: string
default: this is an input
outputs:
out:
type: string
reference: ${my_script_tool.output}
nodes:
- name: my_script_tool
type: python
source:
type: code
path: my_script_tool.py
inputs:
connection: custom_connection_2
input_param: ${inputs.text}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/unordered_nodes_with_skip/flow.dag.yaml | name: node_wrong_order
inputs:
text:
type: string
skip:
type: bool
outputs:
result:
type: string
reference: ${third_node}
nodes:
- name: third_node
type: python
source:
type: code
path: test.py
inputs:
text: ${second_node}
- name: first_node
type: python
source:
type: cod... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_aggregation/passthrough.py | from promptflow import tool
@tool
def passthrough(input: str):
return input | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_aggregation/accuracy.py | from promptflow import tool, log_metric
from typing import List
@tool
def accuracy(answer: List[str], groundtruth: List[str]):
assert isinstance(answer, list)
correct = 0
for a, g in zip(answer, groundtruth):
if a == g:
correct += 1
accuracy = float(correct) / len(answer)
log_m... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_aggregation/flow.dag.yaml | inputs:
text:
type: string
default: "play"
outputs:
answer:
type: string
reference: ${passthrough.output}
nodes:
- name: passthrough
type: python
source:
type: code
path: passthrough.py
inputs:
input: ${inputs.text}
- name: accuracy
type: python
source:
type: code
path:... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/samples.json | [
{"idx": 1, "mod": 3, "mod_2": 5},
{"idx": 2, "mod": 3, "mod_2": 5},
{"idx": 3, "mod": 3, "mod_2": 5},
{"idx": 4, "mod": 3, "mod_2": 5},
{"idx": 5, "mod": 3, "mod_2": 5},
{"idx": 6, "mod": 3, "mod_2": 5},
{"idx": 7, "mod": 3, "mod_2": 5},
{"idx": 8, "mod": 3, "mod_2": 5},
{"idx": 9,... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/my_python_tool_with_failed_line.py | 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 | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/expected_status_summary.json | {
"my_python_tool_with_failed_line_1.completed": 7,
"my_python_tool_with_failed_line_1.failed": 3,
"my_python_tool_with_failed_line_2.completed": 5,
"my_python_tool_with_failed_line_2.failed": 2
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/flow.dag.yaml | inputs:
idx:
type: int
mod:
type: int
mod_2:
type: int
outputs:
output:
type: int
reference: ${my_python_tool_with_failed_line_2.output}
nodes:
- name: my_python_tool_with_failed_line_1
type: python
source:
type: code
path: my_python_tool_with_failed_line.py
inputs:
idx: ${... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/inputs/data.jsonl | {"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/inputs/output.jsonl | {"idx": 1, "line_number": 0}
{"idx": 2, "line_number": 1}
{"idx": 4, "line_number": 3}
{"idx": 5, "line_number": 4}
{"idx": 7, "line_number": 6}
{"idx": 8, "line_number": 7}
{"idx": 10, "line_number": 9}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/failed_flow/hello.py | import os
import openai
from dotenv import load_dotenv
from promptflow import tool
# The inputs section will change based on the arguments of the tool function, after you save the code
# Adding type to arguments and return value will help the system show the types properly
# Please update the function name/signature ... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/failed_flow/flow.dag.yaml | 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: {}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_fetch_url/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:
# time.sleep(130)
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chr... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_fetch_url/flow.dag.yaml | id: web_classification
inputs:
url:
default: https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h
is_chat_input: false
type: string
nodes:
- inputs:
url: ${inputs.url}
name: fetch_text_content_from_url
reduce: false
source:
path: f... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/print_env_var/flow.dag.yaml | inputs:
key:
type: string
outputs:
output:
type: string
reference: ${print_env.output.value}
nodes:
- name: print_env
type: python
source:
type: code
path: print_env.py
inputs:
key: ${inputs.key}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/print_env_var/print_env.py | import os
from promptflow import tool
@tool
def get_env_var(key: str):
print(os.environ.get(key))
# get from env var
return {"value": os.environ.get(key)}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/print_env_var | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/print_env_var/.promptflow/flow.tools.json | {
"package": {},
"code": {
"print_env.py": {
"type": "python",
"inputs": {
"key": {
"type": [
"string"
]
}
},
"function": "get_env_var"
}
}
}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/concurrent_execution_flow/inputs.json | {
"input1": "False",
"input2": "False",
"input3": "False",
"input4": "False"
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/concurrent_execution_flow/wait_short.py | import threading
from time import sleep
from promptflow import tool
@tool
def wait(**kwargs) -> int:
if kwargs["throw_exception"]:
raise Exception("test exception")
for i in range(10):
print(f"Thread {threading.get_ident()} write test log number {i}")
sleep(2)
return 0
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/concurrent_execution_flow/wait_long.py | from time import sleep
from promptflow import tool
@tool
def wait(**args) -> int:
sleep(5)
return str(args)
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/concurrent_execution_flow/flow.dag.yaml | name: TestPythonToolLongWaitTime
inputs:
input1:
type: bool
input2:
type: bool
input3:
type: bool
input4:
type: bool
outputs:
output:
type: int
reference: ${wait_long_1.output}
nodes:
- name: wait_1
type: python
source:
type: code
path: wait_short.py
inputs:
throw_e... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_requirements_txt/requirements.txt | langchain
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_requirements_txt/flow.dag.yaml | inputs:
key:
type: string
outputs:
output:
type: string
reference: ${print_env.output.value}
nodes:
- name: print_env
type: python
source:
type: code
path: print_env.py
inputs:
key: ${inputs.key}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_requirements_txt/print_env.py | import os
from promptflow import tool
@tool
def get_env_var(key: str):
from langchain import __version__
print(__version__)
print(os.environ.get(key))
# get from env var
return {"value": os.environ.get(key)}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/all_nodes_bypassed/inputs.json | {
"text": "bypass"
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/all_nodes_bypassed/flow.dag.yaml | name: all_nodes_bypassed
inputs:
text:
type: string
outputs:
result:
type: string
reference: ${third_node.output}
nodes:
- name: first_node
type: python
source:
type: code
path: test.py
inputs:
text: ${inputs.text}
activate:
when: ${inputs.text}
is: "hello"
- name: second_nod... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/all_nodes_bypassed/test.py | from promptflow import tool
@tool
def test(text: str):
return text + "hello world!"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/generator_nodes/echo.py | from promptflow import tool
@tool
def echo(text):
"""yield the input string."""
echo_text = "Echo - " + text
for word in echo_text.split():
yield word | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/generator_nodes/flow.dag.yaml | 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}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_trace_async/greetings.py | 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):
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_trace_async/flow.dag.yaml | inputs:
user_id:
type: int
default: 1
outputs:
output:
type: string
reference: ${greetings.output.greeting}
nodes:
- name: greetings
type: python
source:
type: code
path: greetings.py
inputs:
user_id: ${inputs.user_id}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_dict_input/get_dict_val.py | 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}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_dict_input/flow.dag.yaml | inputs:
key:
type: object
outputs:
output:
type: string
reference: ${get_dict_val.output.value}
nodes:
- name: get_dict_val
type: python
source:
type: code
path: get_dict_val.py
inputs:
key: ${inputs.key}
- name: print_val
type: python
source:
type: code
path: print_val.py
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_dict_input/print_val.py | from promptflow import tool
@tool
def print_val(val, origin_val):
print(val)
print(origin_val)
if not isinstance(origin_val, dict):
raise TypeError(f"key must be a dict, got {type(origin_val)}")
return val
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_dict_input | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_dict_input/.promptflow/flow.tools.json | {
"package": {},
"code": {
"print_val.py": {
"name": "print_val.py",
"type": "python",
"inputs": {
"key": {
"type": [
"object"
]
}
},
"source": "pri... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_default_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_with_default_history/flow.dag.yaml | inputs:
chat_history:
type: list
is_chat_history: true
default:
- inputs:
question: hi
outputs:
answer: hi
- inputs:
question: who are you
outputs:
answer: who are you
question:
type: string
is_chat_input: true
default: What... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/no_inputs_outputs/say_hello.py | from promptflow import tool
@tool
def stringify_num():
print("hello world")
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/no_inputs_outputs/flow.dag.yaml | outputs:
nodes:
- name: say_hello
type: python
source:
type: code
path: say_hello.py
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/inputs.json | [
{
"incident_id": 1,
"incident_content": "Incident 418856448 : Stale App Deployment for App promptflow"
},
{
"incident_id": 3,
"incident_content": "Incident 418856448 : Stale App Deployment for App promptflow"
},
{
"incident_id": 0,
"incident_content"... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/investigation_method.py | from promptflow import tool
@tool
def choose_investigation_method(method1="Skip job info extractor", method2="Skip incident info extractor"):
method = {}
if method1:
method["first"] = method1
if method2:
method["second"] = method2
return method
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/icm_retriever.py | from promptflow import tool
@tool
def icm_retriever(content: str) -> str:
return "ICM: " + content | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/expected_result.json | [
{
"expected_node_count": 9,
"expected_outputs":{
"investigation_method": {
"first": "Skip job info extractor",
"second": "Execute incident info extractor"
}
},
"expected_bypassed_nodes":["job_info_extractor", "icm_retriever"]
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/retriever_summary.py | from promptflow import tool
@tool
def retriever_summary(summary) -> str:
print(f"Summary: {summary}")
return "Execute incident info extractor"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/kql_tsg_retriever.py | from promptflow import tool
@tool
def kql_retriever(content: str) -> str:
return "KQL: " + content | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/tsg_retriever.py | from promptflow import tool
@tool
def tsg_retriever(content: str) -> str:
return "TSG: " + content | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/incident_id_extractor.py | from promptflow import tool
@tool
def extract_incident_id(incident_content: str, incident_id: int):
if incident_id >= 0 and incident_id < 3:
return {
"has_incident_id": True,
"incident_id": incident_id,
"incident_content": incident_content
}
return {
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/expected_status_summary.json | {
"incident_id_extractor.completed": 3,
"job_info_extractor.completed": 1,
"job_info_extractor.bypassed": 2,
"incident_info_extractor.completed": 2,
"incident_info_extractor.bypassed": 1,
"icm_retriever.completed": 1,
"icm_retriever.bypassed": 2,
"tsg_retriever.completed": 1,
"tsg_re... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/investigation_steps.jinja2 | system:
You are a helpful assistant.
user:
When an incident occurs, there have 3 ways to deal with it, please choose one.
1. {{first_method}}
2. {{second_method}}
3. {{third_method}} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/flow.dag.yaml | 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... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/incident_info_extractor.py | from promptflow import tool
@tool
def extract_incident_info(incident: dict) -> str:
retriever_type = ["icm", "tsg", "kql"]
return {
"retriever": retriever_type[incident["incident_id"]],
"incident_content": incident["incident_content"]
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/job_info_extractor.py | from promptflow import tool
@tool
def extract_job_info(incident_content: str) -> str:
print(f"Incident: {incident_content}")
return "Execute job info extractor"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/inputs.json | [
{
"case": "double",
"value": 1
},
{
"case": "double",
"value": 2
},
{
"case": "square",
"value": 3
},
{
"case": "square",
"value": 4
}
] | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/double.py | from promptflow import tool
@tool
def double(input: int) -> int:
return 2*input
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/aggregation_node.py | 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
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/expected_result.json | [
{
"expected_node_count": 3,
"expected_outputs":{
"output":{
"double": 2,
"square": ""
}
},
"expected_bypassed_nodes":["square"]
},
{
"expected_node_count": 3,
"expected_outputs":{
"output":{... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/square.py | from promptflow import tool
@tool
def square(input: int) -> int:
return input*input
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/expected_status_summary.json | {
"square.bypassed": 2,
"double.completed": 2,
"collect_node.completed": 4,
"double.bypassed": 2,
"square.completed": 2,
"aggregation_double.completed": 1,
"aggregation_square.completed": 1
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/collect_node.py | from promptflow import tool
@tool
def collect(input1, input2: str="") -> str:
return {'double': input1, 'square': input2}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/flow.dag.yaml | 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... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/llm_tool/echo.py | from promptflow import tool
@tool
def echo(input: str) -> str:
return input
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/llm_tool/flow.dag.yaml | inputs:
topic:
type: string
default: hello world
is_chat_input: false
stream:
type: bool
default: false
is_chat_input: false
outputs:
joke:
type: string
reference: ${echo.output}
nodes:
- name: echo
type: python
source:
type: code
path: echo.py
inputs:
input: ${jo... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/llm_tool/joke.jinja2 | {# Prompt is a jinja2 template that generates prompt for LLM #}
system:
You are a bot can tell good jokes
user:
A joke about {{topic}} please
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_non_english_input/data.jsonl | {"text": "Hello 123 日本語"}
{"text": "World 123 日本語"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_non_english_input/flow.dag.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
text:
type: string
default: Hello 日本語
outputs:
output:
type: string
reference: ${hello_prompt.output}
nodes:
- name: hello_prompt
type: prompt
source:
type: code
path: hello.jinja2
inputs:
text... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_non_english_input/hello.jinja2 | {{text}} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_flow_with_ten_inputs/data.jsonl | {"input": "atom", "index": 0}
{"input": "atom", "index": 6}
{"input": "atom", "index": 12}
{"input": "atom", "index": 18}
{"input": "atom", "index": 24}
{"input": "atom", "index": 30}
{"input": "atom", "index": 36}
{"input": "atom", "index": 42}
{"input": "atom", "index": 48}
{"input": "atom", "index": 54}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_flow_with_ten_inputs/samples.json | [
{
"input": "atom",
"index": 0
},
{
"input": "atom",
"index": 6
},
{
"input": "atom",
"index": 12
},{
"input": "atom",
"index": 18
},{
"input": "atom",
"index": 24
},{
"input": "atom",
"index": 30
},{
"input": "atom",
"index": 36
},{
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_flow_with_ten_inputs/python_node.py | from promptflow import tool
import time
@tool
def python_node(input: str, index: int) -> str:
time.sleep(index + 5)
return input
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_flow_with_ten_inputs/flow.dag.yaml | 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_... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/samples.json | [
{
"url": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h"
},
{
"url": "https://www.microsoft.com/en-us/windows/"
}
] | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/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("input is not valid, error: {}".format(e))
return {"category": "None", "evidence": "None"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/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/537.36 Edg/113.0.177... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/classify_with_llm.jinja2 | system:
Your task is to classify a given url into one of the following types:
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:
Here are a few examples:
{% for ex in examples %}
URL: {... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/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/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/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 also offers au... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/flow.dag.yaml | inputs:
url:
type: string
default: https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h
outputs:
category:
type: string
reference: ${convert_to_dict.output.category}
evidence:
type: string
reference: ${convert_to_dict.output.evidence}
nodes:... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/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/flows/web_classification_no_variants | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/.promptflow/flow.tools.json | {
"package": {},
"code": {
"fetch_text_content_from_url.py": {
"type": "python",
"inputs": {
"url": {
"type": [
"string"
]
}
},
"function": "fetch_text_content_... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/.promptflow | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/.promptflow/lkg_sources/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("input is not valid, error: {}".format(e))
return {"category": "None", "evidence": "None"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/.promptflow | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/.promptflow/lkg_sources/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/537.36 Edg/113.0.177... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/.promptflow | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/.promptflow/lkg_sources/classify_with_llm.jinja2 | Your task is to classify a given url into one of the following types:
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.
Here are a few examples:
{% for ex in examples %}
URL: {{ex.url}}
Text... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/.promptflow | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/.promptflow/lkg_sources/summarize_text_content__variant_1.jinja2 | 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.
Text: {{text}}
Summary:
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/.promptflow | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants/.promptflow/lkg_sources/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 also offers au... | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.