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promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/tool_with_assistant_definition/assistant_definition.yaml | model: mock_model
instructions: mock_instructions
tools:
- type: function
tool_type: python
source:
type: code
path: echo.py
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/tool_with_assistant_definition/test_assistant_definition.py | 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 = assistant_definition.init_tool_invoker()
openai_definition = invoker.to_openai_tools()
assert len(openai_definition) == 1
assert openai_definition[0]["function"]["description"] == "This tool is used to echo the message back."
assert openai_definition[0]["function"]["parameters"]["properties"] == {
"message": {"description": "The message to echo.", "type": "string"}
}
assert openai_definition[0]["function"]["parameters"]["required"] == ["message"]
assert invoker.invoke_tool("echo", {"message": message}) == "Hello World!"
return assistant_definition.serialize()
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/tool_with_assistant_definition/flow.dag.yaml | inputs:
message:
type: string
default: Hello World!
outputs:
output:
type: object
reference: ${test_assistant_definition.output}
nodes:
- name: test_assistant_definition
type: python
source:
type: code
path: test_assistant_definition.py
inputs:
message: ${inputs.message}
assistant_definition: assistant_definition.yaml
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/samples.json | [{"idx": 1}, {"idx": 4}, {"idx": 10}] | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/my_python_tool.py | from promptflow import tool
import random
@tool
def my_python_tool(idx: int) -> int:
return idx | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/my_python_tool_with_failed_line.py | from promptflow import tool
import random
import time
@tool
def my_python_tool_with_failed_line(idx: int, mod=5) -> int:
if idx % mod == 0:
while True:
time.sleep(60)
return idx
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/samples_all_timeout.json | [{"idx": 5}, {"idx": 5}] | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/expected_status_summary.json | {
"__pf__.nodes.my_python_tool.completed": 3,
"__pf__.nodes.my_python_tool_with_failed_line.completed": 2,
"__pf__.nodes.my_python_tool_with_failed_line.failed": 1,
"__pf__.lines.completed": 2,
"__pf__.lines.failed": 1
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/flow.dag.yaml | inputs:
idx:
type: int
outputs:
output:
type: int
reference: ${my_python_tool_with_failed_line.output}
nodes:
- name: my_python_tool
type: python
source:
type: code
path: my_python_tool.py
inputs:
idx: ${inputs.idx}
- name: my_python_tool_with_failed_line
type: python
source:
type: code
path: my_python_tool_with_failed_line.py
inputs:
idx: ${my_python_tool.output} | 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/inputs.json | {
"text": "hi"
} | 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
source:
type: code
path: pass_through.py
inputs:
input1: ${nodeA.output}
activate:
when: ${inputs.text}
is: hi
| 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: python
source:
type: code
path: pick_an_image.py
inputs:
image_1: ${python_node.output}
image_2: logo_2.png
| 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) "
"Chrome/113.0.0.0 Safari/537.36 Edg/113.0.1774.35"
}
response = requests.get(url, headers=headers)
if response.status_code == 200:
# Parse the HTML content using BeautifulSoup
soup = bs4.BeautifulSoup(response.text, "html.parser")
soup.prettify()
return soup.get_text()[:2000]
else:
msg = (
f"Get url failed with status code {response.status_code}.\nURL: {url}\nResponse: "
f"{response.text[:100]}"
)
print(msg)
return "No available content"
except Exception as e:
print("Get url failed with error: {}".format(e))
return "No available content"
| 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: fetch_text_content_from_url.py
type: code
type: python
outputs:
text:
evaluation_only: false
is_chat_output: false
reference: ${fetch_text_content_from_url.output}
type: string
| 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
:param api_base: The api base.
:type api_base: String
"""
api_key: Secret
api_url: str = "This is a fake api url."
@tool
def my_tool(connection: MyCustomConnection, input_param: str) -> str:
# Replace with your tool code.
# Use custom strong type connection like: connection.api_key, connection.api_url
return f"connection_value is MyCustomConnection: {str(isinstance(connection, MyCustomConnection))}"
| 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: code
path: test.py
inputs:
text: ${inputs.text}
- name: second_node
type: python
source:
type: code
path: test.py
inputs:
text: ${first_node}
skip:
when: ${inputs.skip}
is: true
return: ${inputs.text}
| 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_metric("accuracy", accuracy)
return accuracy
| 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: accuracy.py
inputs:
answer: ${passthrough.output}
groundtruth: ${inputs.text}
aggregation: True | 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, "mod": 3, "mod_2": 5},
{"idx": 10, "mod": 3, "mod_2": 5}
] | 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: ${inputs.idx}
mod: ${inputs.mod}
- name: my_python_tool_with_failed_line_2
type: python
source:
type: code
path: my_python_tool_with_failed_line.py
inputs:
idx: ${my_python_tool_with_failed_line_1.output}
mod: ${inputs.mod_2} | 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 per need
def to_bool(value) -> bool:
return str(value).lower() == "true"
@tool
def my_python_tool(input1: str) -> str:
return 'hello '
| 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) "
"Chrome/113.0.0.0 Safari/537.36 Edg/113.0.1774.35"
}
response = requests.get(url, headers=headers)
if response.status_code == 200:
# Parse the HTML content using BeautifulSoup
soup = bs4.BeautifulSoup(response.text, "html.parser")
soup.prettify()
return soup.get_text()[:2000]
else:
msg = (
f"Get url failed with status code {response.status_code}.\nURL: {url}\nResponse: "
f"{response.text[:100]}"
)
print(msg)
return "No available content"
except Exception as e:
print("Get url failed with error: {}".format(e))
return "No available content"
| 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: fetch_text_content_from_url.py
type: code
type: python
outputs:
text:
evaluation_only: false
is_chat_output: false
reference: ${fetch_text_content_from_url.output}
type: string
| 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_exception: ${inputs.input1}
- name: wait_2
type: python
source:
type: code
path: wait_short.py
inputs:
throw_exception: ${inputs.input2}
- name: wait_3
type: python
source:
type: code
path: wait_short.py
inputs:
throw_exception: ${inputs.input3}
- name: wait_4
type: python
source:
type: code
path: wait_short.py
inputs:
throw_exception: ${inputs.input4}
- name: wait_long_1
type: python
source:
type: code
path: wait_long.py
inputs:
text_1: ${wait_1.output}
text_2: ${wait_2.output}
text_3: ${wait_3.output}
text_4: ${wait_4.output}
| 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_node
type: python
source:
type: code
path: test.py
inputs:
text: ${first_node.output}
- name: third_node
type: python
source:
type: code
path: test.py
inputs:
text: ${second_node.output}
| 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):
raise ValueError(f"Invalid user name: {user_name}")
return user_name
@trace
async def format_greeting(user_name):
await asyncio.sleep(0.5)
return f"Hello, {user_name}!"
@tool
async def greetings(user_id):
user_name = await get_user_name(user_id)
greeting = await format_greeting(user_name)
print(greeting)
return {"greeting": greeting}
| 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
inputs:
val: ${get_dict_val.output.value}
origin_val: ${get_dict_val.output.origin_value}
| 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": "print_val.py",
"function": "get_val"
}
}
} | 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 is ChatGPT?
outputs:
answer:
type: string
reference: ${chat_node.output}
is_chat_output: true
nodes:
- inputs:
deployment_name: gpt-35-turbo
max_tokens: "256"
temperature: "0.7"
chat_history: ${inputs.chat_history}
question: ${inputs.question}
name: chat_node
type: llm
source:
type: code
path: chat.jinja2
api: chat
provider: AzureOpenAI
connection: azure_open_ai_connection | 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": "Incident 418856448 : Stale App Deployment for App promptflow"
}
] | 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"]
},
{
"expected_node_count": 9,
"expected_outputs":{
"investigation_method": {
"first": "Execute job info extractor",
"second": "Skip incident info extractor"
}
},
"expected_bypassed_nodes":["incident_info_extractor", "icm_retriever", "kql_tsg_retriever", "tsg_retriever", "investigation_steps", "retriever_summary"]
},
{
"expected_node_count": 9,
"expected_outputs":{
"investigation_method": {
"first": "Skip job info extractor",
"second": "Execute incident info extractor"
}
},
"expected_bypassed_nodes":["job_info_extractor", "kql_tsg_retriever", "tsg_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 {
"has_incident_id": False,
"incident_id": incident_id,
"incident_content": 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/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_retriever.bypassed": 2,
"kql_tsg_retriever.completed": 1,
"kql_tsg_retriever.bypassed": 2,
"investigation_steps.completed": 2,
"investigation_steps.bypassed": 1,
"retriever_summary.completed": 2,
"retriever_summary.bypassed": 1,
"investigation_method.completed": 3
} | 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: incident_id_extractor.py
inputs:
incident_content: ${inputs.incident_content}
incident_id: ${inputs.incident_id}
- name: job_info_extractor
type: python
source:
type: code
path: job_info_extractor.py
inputs:
incident_content: ${incident_id_extractor.output.incident_content}
activate:
when: ${incident_id_extractor.output.has_incident_id}
is: false
- name: incident_info_extractor
type: python
source:
type: code
path: incident_info_extractor.py
inputs:
incident: ${incident_id_extractor.output}
activate:
when: ${incident_id_extractor.output.has_incident_id}
is: true
- name: tsg_retriever
type: python
source:
type: code
path: tsg_retriever.py
inputs:
content: ${incident_info_extractor.output.incident_content}
activate:
when: ${incident_info_extractor.output.retriever}
is: tsg
- name: icm_retriever
type: python
source:
type: code
path: icm_retriever.py
inputs:
content: ${incident_info_extractor.output.incident_content}
activate:
when: ${incident_info_extractor.output.retriever}
is: icm
- name: kql_tsg_retriever
type: python
source:
type: code
path: kql_tsg_retriever.py
inputs:
content: ${incident_info_extractor.output.incident_content}
activate:
when: ${incident_info_extractor.output.retriever}
is: tsg
- name: investigation_steps
type: llm
source:
type: code
path: investigation_steps.jinja2
inputs:
deployment_name: gpt-35-turbo
temperature: 0.7
top_p: 1
stop: ""
max_tokens: 256
presence_penalty: 0
frequency_penalty: 0
logit_bias: ""
first_method: ${icm_retriever.output}
second_method: ${tsg_retriever.output}
third_method: ${kql_tsg_retriever.output}
provider: AzureOpenAI
connection: azure_open_ai_connection
api: chat
module: promptflow.tools.aoai
- name: retriever_summary
type: python
source:
type: code
path: retriever_summary.py
inputs:
summary: ${investigation_steps.output}
- name: investigation_method
type: python
source:
type: code
path: investigation_method.py
inputs:
method1: ${job_info_extractor.output}
method2: ${retriever_summary.output}
| 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":{
"double": 4,
"square": ""
}
},
"expected_bypassed_nodes":["square"]
},
{
"expected_node_count": 3,
"expected_outputs":{
"output":{
"double": null,
"square": 9
}
},
"expected_bypassed_nodes":["double"]
},
{
"expected_node_count": 3,
"expected_outputs":{
"output":{
"double": null,
"square": 16
}
},
"expected_bypassed_nodes":["double"]
}
] | 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: double.py
inputs:
input: ${inputs.value}
activate:
when: ${inputs.case}
is: double
aggregation: false
- name: square
type: python
source:
type: code
path: square.py
inputs:
input: ${inputs.value}
activate:
when: ${inputs.case}
is: square
aggregation: false
- name: aggregation_double
type: python
source:
type: code
path: aggregation_node.py
inputs:
input: ${double.output}
aggregation: true
- name: aggregation_square
type: python
source:
type: code
path: aggregation_node.py
inputs:
input: ${square.output}
aggregation: true
- name: collect_node
type: python
source:
type: code
path: collect_node.py
inputs:
input1: ${double.output}
input2: ${square.output}
aggregation: false
| 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: ${joke.output}
use_variants: false
- name: joke
type: llm
source:
type: code
path: joke.jinja2
inputs:
deployment_name: gpt-35-turbo
temperature: 1
top_p: 1
max_tokens: 256
presence_penalty: 0
frequency_penalty: 0
stream: ${inputs.stream}
topic: ${inputs.topic}
provider: AzureOpenAI
connection: azure_open_ai_connection
api: chat
module: promptflow.tools.aoai
use_variants: false
| 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: ${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
},{
"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/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_node.py
inputs:
index: ${inputs.index}
input: ${inputs.input}
use_variants: false
node_variants: {}
| 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/113.0.1774.35"
}
response = requests.get(url, headers=headers)
if response.status_code == 200:
# Parse the HTML content using BeautifulSoup
soup = bs4.BeautifulSoup(response.text, "html.parser")
soup.prettify()
return soup.get_text()[:2000]
else:
msg = (
f"Get url failed with status code {response.status_code}.\nURL: {url}\nResponse: {response.text[:100]}"
)
print(msg)
return "No available content"
except Exception as e:
print("Get url failed with error: {}".format(e))
return "No available content"
| 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: {{ex.url}}
Text content: {{ex.text_content}}
OUTPUT:
{"category": "{{ex.category}}", "evidence": "{{ex.evidence}}"}
{% endfor %}
For a given URL : {{url}}, and text content: {{text_content}}.
Classify above url to complete the category and indicate evidence.
OUTPUT: | 0 |