mirror of
https://github.com/katanemo/plano.git
synced 2026-06-23 15:38:07 +02:00
Merge branch 'main' into adil/add_acm_demo
This commit is contained in:
Adil Hafeez
commit
68097fde07
166 changed files with 9507 additions and 11803 deletions
|
|
@ -22,7 +22,7 @@ start_demo() {
|
|||
echo "Starting Arch with arch_config.yaml..."
|
||||
archgw up arch_config.yaml
|
||||
|
||||
# Step 4: Start Network Agent
|
||||
# Step 4: Start developer services
|
||||
echo "Starting Network Agent using Docker Compose..."
|
||||
docker compose up -d # Run in detached mode
|
||||
}
|
||||
|
|
|
|||
13
demos/currency_exchange/test_data.yaml
Normal file
13
demos/currency_exchange/test_data.yaml
Normal file
|
|
@ -0,0 +1,13 @@
|
|||
test_cases:
|
||||
- id: "get exchange rate"
|
||||
input:
|
||||
messages:
|
||||
- role: user
|
||||
content: what is exchange rate for gbp
|
||||
expected_tools:
|
||||
- type: function
|
||||
function:
|
||||
name: currency_exchange
|
||||
arguments:
|
||||
currency_symbol: GBP
|
||||
expected_output_contains: gbp
|
||||
|
|
@ -15,3 +15,16 @@ services:
|
|||
test: ["CMD", "curl" ,"http://localhost:80/healthz"]
|
||||
interval: 5s
|
||||
retries: 20
|
||||
|
||||
chatbot_ui:
|
||||
build:
|
||||
context: ../shared/chatbot_ui
|
||||
dockerfile: Dockerfile
|
||||
ports:
|
||||
- "18080:8080"
|
||||
environment:
|
||||
- CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
|
||||
extra_hosts:
|
||||
- "host.docker.internal:host-gateway"
|
||||
volumes:
|
||||
- ./arch_config.yaml:/app/arch_config.yaml
|
||||
|
|
|
|||
|
|
@ -11,14 +11,9 @@ from typing import List, Optional, Tuple
|
|||
from slack_sdk import WebClient
|
||||
from slack_sdk.errors import SlackApiError
|
||||
from openai import OpenAI
|
||||
from common import create_gradio_app
|
||||
|
||||
app = FastAPI()
|
||||
workforce_data_df = None
|
||||
demo_description = """This demo showcases how the **Arch** can be used to build an
|
||||
HR agent to manage workforce-related inquiries, workforce planning, and communication via Slack.
|
||||
It intelligently routes incoming prompts to the correct targets, providing concise and useful responses
|
||||
tailored for HR and workforce decision-making. """
|
||||
|
||||
with open("workforce_data.json") as file:
|
||||
workforce_data = json.load(file)
|
||||
|
|
@ -95,15 +90,5 @@ def get_workforce(request: WorkforceRequest):
|
|||
return response
|
||||
|
||||
|
||||
CHAT_COMPLETION_ENDPOINT = os.getenv("CHAT_COMPLETION_ENDPOINT")
|
||||
client = OpenAI(
|
||||
api_key="--",
|
||||
base_url=CHAT_COMPLETION_ENDPOINT,
|
||||
)
|
||||
|
||||
gr.mount_gradio_app(
|
||||
app, create_gradio_app(demo_description, client), path="/agent/chat"
|
||||
)
|
||||
|
||||
if __name__ == "__main__":
|
||||
app.run(debug=True)
|
||||
|
|
|
|||
14
demos/hr_agent/test_data.yaml
Normal file
14
demos/hr_agent/test_data.yaml
Normal file
|
|
@ -0,0 +1,14 @@
|
|||
test_cases:
|
||||
- id: get workforce data
|
||||
input:
|
||||
messages:
|
||||
- role: user
|
||||
content: what is workforce data for asia for fte employees
|
||||
expected_tools:
|
||||
- type: function
|
||||
function:
|
||||
name: workforce
|
||||
arguments:
|
||||
staffing_type: fte
|
||||
region: asia
|
||||
expected_output_contains: asia
|
||||
|
|
@ -34,7 +34,7 @@ prompt_targets:
|
|||
default: true
|
||||
|
||||
- name: get_policy_coverage
|
||||
description: Retrieve the coverage details for a given policy type (car, boat, house, motorcycle).
|
||||
description: Retrieve the coverage details for an insurance policy.
|
||||
endpoint:
|
||||
name: app_server
|
||||
path: /policy/coverage
|
||||
|
|
@ -42,7 +42,7 @@ prompt_targets:
|
|||
parameters:
|
||||
- name: policy_type
|
||||
type: str
|
||||
description: The type of policy, option - car, boat, house, motorcycle.
|
||||
description: The type of policy
|
||||
default: car
|
||||
required: true
|
||||
|
||||
|
|
@ -51,11 +51,11 @@ prompt_targets:
|
|||
name: app_server
|
||||
path: /policy/initiate
|
||||
http_method: POST
|
||||
description: Start a policy coverage for car, boat, motorcycle or house.
|
||||
description: Start a policy coverage for an insurance policy
|
||||
parameters:
|
||||
- name: policy_type
|
||||
type: str
|
||||
description: The type of policy, option - car, boat, house, motorcycle.
|
||||
description: The type of policy
|
||||
default: car
|
||||
required: true
|
||||
- name: deductible
|
||||
|
|
@ -84,11 +84,11 @@ prompt_targets:
|
|||
name: app_server
|
||||
path: /policy/deductible
|
||||
http_method: POST
|
||||
description: Update the deductible amount for a specific policy coverage.
|
||||
description: Update the deductible amount for a specific insurance policy coverage.
|
||||
parameters:
|
||||
- name: policy_id
|
||||
type: str
|
||||
description: The id of the policy
|
||||
description: The id of the insurance policy
|
||||
required: true
|
||||
- name: deductible
|
||||
type: float
|
||||
|
|
|
|||
19
demos/multi_turn_rag_agent/Dockerfile
Normal file
19
demos/multi_turn_rag_agent/Dockerfile
Normal file
|
|
@ -0,0 +1,19 @@
|
|||
FROM python:3.12 AS base
|
||||
|
||||
FROM base AS builder
|
||||
|
||||
WORKDIR /src
|
||||
|
||||
COPY requirements.txt /src/
|
||||
RUN pip install --prefix=/runtime --force-reinstall -r requirements.txt
|
||||
|
||||
COPY . /src
|
||||
|
||||
FROM python:3.12-slim AS output
|
||||
|
||||
COPY --from=builder /runtime /usr/local
|
||||
|
||||
COPY . /app
|
||||
WORKDIR /app
|
||||
|
||||
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80", "--log-level", "info"]
|
||||
22
demos/multi_turn_rag_agent/README.md
Normal file
22
demos/multi_turn_rag_agent/README.md
Normal file
|
|
@ -0,0 +1,22 @@
|
|||
# Multi-Turn Agentic Demo (RAG)
|
||||
|
||||
This demo showcases how the **Arch** can be used to build accurate multi-turn RAG agent by just writing simple APIs.
|
||||
|
||||
|
||||
|
||||
### Energy Source Q/A
|
||||
Provides information about various energy sources and considerations.
|
||||
|
||||
- **Endpoint**: `/agent/energy_source`
|
||||
- **Parameters**:
|
||||
- `energy_source` (`str`, **required**): A source of energy (e.g., `renewable`, `fossil`).
|
||||
- `consideration` (`str`, *optional*): A specific type of consideration for an energy source (e.g., `cost`, `economic`, `technology`).
|
||||
|
||||
# Starting the demo
|
||||
1. Please make sure the [pre-requisites](https://github.com/katanemo/arch/?tab=readme-ov-file#prerequisites) are installed correctly
|
||||
2. Start Arch
|
||||
```sh
|
||||
sh run_demo.sh
|
||||
```
|
||||
3. Navigate to http://localhost:18080
|
||||
4. Ask "give me information about renewable energy sources"
|
||||
59
demos/multi_turn_rag_agent/arch_config.yaml
Normal file
59
demos/multi_turn_rag_agent/arch_config.yaml
Normal file
|
|
@ -0,0 +1,59 @@
|
|||
version: v0.1
|
||||
|
||||
listener:
|
||||
address: 127.0.0.1
|
||||
port: 10000
|
||||
message_format: huggingface
|
||||
connect_timeout: 0.005s
|
||||
|
||||
endpoints:
|
||||
rag_energy_source_agent:
|
||||
endpoint: host.docker.internal:18083
|
||||
connect_timeout: 0.005s
|
||||
|
||||
llm_providers:
|
||||
- name: gpt-4o-mini
|
||||
access_key: $OPENAI_API_KEY
|
||||
provider: openai
|
||||
model: gpt-4o-mini
|
||||
default: true
|
||||
|
||||
system_prompt: |
|
||||
You are a helpful assistant and can offer information about energy sources.
|
||||
You will get a JSON object with energy_source and consideration fields. Focus on answering the querstion using those fields.
|
||||
Keep your responses to just three main points to make it easy for the reader to digest the information
|
||||
|
||||
prompt_targets:
|
||||
- name: get_info_for_energy_source
|
||||
description: get information about an energy source
|
||||
parameters:
|
||||
- name: energy_source
|
||||
type: str
|
||||
description: a source of energy
|
||||
required: true
|
||||
enum: [renewable, fossil]
|
||||
- name: consideration
|
||||
type: str
|
||||
description: a specific type of consideration for an energy source
|
||||
enum: [cost, economic, technology]
|
||||
endpoint:
|
||||
name: rag_energy_source_agent
|
||||
path: /agent/energy_source_info
|
||||
http_method: POST
|
||||
|
||||
- name: default_target
|
||||
default: true
|
||||
description: This is the default target for all unmatched prompts.
|
||||
endpoint:
|
||||
name: rag_energy_source_agent
|
||||
path: /default_target
|
||||
http_method: POST
|
||||
system_prompt: |
|
||||
You are a helpful assistant! Summarize the user's request and provide a helpful response.
|
||||
# if it is set to false arch will send response that it received from this prompt target to the user
|
||||
# if true arch will forward the response to the default LLM
|
||||
auto_llm_dispatch_on_response: false
|
||||
|
||||
tracing:
|
||||
random_sampling: 100
|
||||
trace_arch_internal: true
|
||||
24
demos/multi_turn_rag_agent/docker-compose.yaml
Normal file
24
demos/multi_turn_rag_agent/docker-compose.yaml
Normal file
|
|
@ -0,0 +1,24 @@
|
|||
services:
|
||||
rag_energy_source_agent:
|
||||
build:
|
||||
context: .
|
||||
dockerfile: Dockerfile
|
||||
ports:
|
||||
- "18083:80"
|
||||
healthcheck:
|
||||
test: ["CMD", "curl" ,"http://localhost:80/healthz"]
|
||||
interval: 5s
|
||||
retries: 20
|
||||
|
||||
chatbot_ui:
|
||||
build:
|
||||
context: ../shared/chatbot_ui
|
||||
dockerfile: Dockerfile
|
||||
ports:
|
||||
- "18080:8080"
|
||||
environment:
|
||||
- CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
|
||||
extra_hosts:
|
||||
- "host.docker.internal:host-gateway"
|
||||
volumes:
|
||||
- ./arch_config.yaml:/app/arch_config.yaml
|
||||
42
demos/multi_turn_rag_agent/main.py
Normal file
42
demos/multi_turn_rag_agent/main.py
Normal file
|
|
@ -0,0 +1,42 @@
|
|||
import os
|
||||
import gradio as gr
|
||||
|
||||
from fastapi import FastAPI, HTTPException
|
||||
from pydantic import BaseModel
|
||||
from typing import Optional
|
||||
from openai import OpenAI
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
# Define the request model
|
||||
class EnergySourceRequest(BaseModel):
|
||||
energy_source: str
|
||||
consideration: Optional[str] = None
|
||||
|
||||
|
||||
class EnergySourceResponse(BaseModel):
|
||||
energy_source: str
|
||||
consideration: Optional[str] = None
|
||||
|
||||
|
||||
# Post method for device summary
|
||||
@app.post("/agent/energy_source_info")
|
||||
def get_workforce(request: EnergySourceRequest):
|
||||
"""
|
||||
Endpoint to get details about energy source
|
||||
"""
|
||||
considertion = "You don't have any specific consideration. Feel free to talk in a more open ended fashion"
|
||||
|
||||
if request.consideration is not None:
|
||||
considertion = f"Add specific focus on the following consideration when you summarize the content for the energy source: {request.consideration}"
|
||||
|
||||
response = {
|
||||
"energy_source": request.energy_source,
|
||||
"consideration": considertion,
|
||||
}
|
||||
return response
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
app.run(debug=True)
|
||||
BIN
demos/multi_turn_rag_agent/mutli-turn-example.png
Normal file
BIN
demos/multi_turn_rag_agent/mutli-turn-example.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 852 KiB |
12
demos/multi_turn_rag_agent/requirements.txt
Normal file
12
demos/multi_turn_rag_agent/requirements.txt
Normal file
|
|
@ -0,0 +1,12 @@
|
|||
fastapi
|
||||
uvicorn
|
||||
typing
|
||||
pandas
|
||||
gradio==5.3.0
|
||||
async_timeout==4.0.3
|
||||
loguru==0.7.2
|
||||
asyncio==3.4.3
|
||||
httpx==0.27.0
|
||||
python-dotenv==1.0.1
|
||||
pydantic==2.8.2
|
||||
openai==1.51.0
|
||||
47
demos/multi_turn_rag_agent/run_demo.sh
Normal file
47
demos/multi_turn_rag_agent/run_demo.sh
Normal file
|
|
@ -0,0 +1,47 @@
|
|||
#!/bin/bash
|
||||
set -e
|
||||
|
||||
# Function to start the demo
|
||||
start_demo() {
|
||||
# Step 1: Check if .env file exists
|
||||
if [ -f ".env" ]; then
|
||||
echo ".env file already exists. Skipping creation."
|
||||
else
|
||||
# Step 2: Create `.env` file and set OpenAI key
|
||||
if [ -z "$OPENAI_API_KEY" ]; then
|
||||
echo "Error: OPENAI_API_KEY environment variable is not set for the demo."
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "Creating .env file..."
|
||||
echo "OPENAI_API_KEY=$OPENAI_API_KEY" > .env
|
||||
echo ".env file created with OPENAI_API_KEY."
|
||||
fi
|
||||
|
||||
# Step 3: Start Arch
|
||||
echo "Starting Arch with arch_config.yaml..."
|
||||
archgw up arch_config.yaml
|
||||
|
||||
# Step 4: Start Network Agent
|
||||
echo "Starting HR Agent using Docker Compose..."
|
||||
docker compose up -d # Run in detached mode
|
||||
}
|
||||
|
||||
# Function to stop the demo
|
||||
stop_demo() {
|
||||
# Step 1: Stop Docker Compose services
|
||||
echo "Stopping HR Agent using Docker Compose..."
|
||||
docker compose down -v
|
||||
|
||||
# Step 2: Stop Arch
|
||||
echo "Stopping Arch..."
|
||||
archgw down
|
||||
}
|
||||
|
||||
# Main script logic
|
||||
if [ "$1" == "down" ]; then
|
||||
stop_demo
|
||||
else
|
||||
# Default action is to bring the demo up
|
||||
start_demo
|
||||
fi
|
||||
|
|
@ -17,36 +17,32 @@ system_prompt: |
|
|||
You are a network assistant that helps operators with a better understanding of network traffic flow and perform actions on networking operations. No advice on manufacturers or purchasing decisions.
|
||||
|
||||
prompt_targets:
|
||||
- name: device_summary
|
||||
description: Retrieve network statistics for specific devices within a time range
|
||||
endpoint:
|
||||
name: app_server
|
||||
path: /agent/device_summary
|
||||
http_method: POST
|
||||
parameters:
|
||||
- name: device_ids
|
||||
type: list
|
||||
description: A list of device identifiers (IDs) to retrieve statistics for.
|
||||
required: true # device_ids are required to get device statistics
|
||||
- name: days
|
||||
type: int
|
||||
description: The number of days for which to gather device statistics.
|
||||
default: "7"
|
||||
- name: reboot_devices
|
||||
description: Reboot a list of devices
|
||||
endpoint:
|
||||
name: app_server
|
||||
path: /agent/device_reboot
|
||||
http_method: POST
|
||||
parameters:
|
||||
- name: device_ids
|
||||
type: list
|
||||
description: A list of device identifiers (IDs).
|
||||
required: true
|
||||
- name: days
|
||||
type: int
|
||||
description: A list of device identifiers (IDs)
|
||||
default: "7"
|
||||
- name: device_summary
|
||||
description: Retrieve network statistics for specific devices within a time range
|
||||
endpoint:
|
||||
name: app_server
|
||||
path: /agent/device_summary
|
||||
http_method: POST
|
||||
parameters:
|
||||
- name: device_ids
|
||||
type: list
|
||||
description: A list of device identifiers (IDs) to retrieve statistics for.
|
||||
required: true # device_ids are required to get device statistics
|
||||
- name: days
|
||||
type: int
|
||||
description: The number of days for which to gather device statistics.
|
||||
default: "7"
|
||||
- name: reboot_devices
|
||||
description: Reboot a list of devices
|
||||
endpoint:
|
||||
name: app_server
|
||||
path: /agent/device_reboot
|
||||
http_method: POST
|
||||
parameters:
|
||||
- name: device_ids
|
||||
type: list
|
||||
description: A list of device identifiers (IDs).
|
||||
required: true
|
||||
|
||||
# Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem.
|
||||
endpoints:
|
||||
|
|
@ -54,6 +50,6 @@ endpoints:
|
|||
# value could be ip address or a hostname with port
|
||||
# this could also be a list of endpoints for load balancing
|
||||
# for example endpoint: [ ip1:port, ip2:port ]
|
||||
endpoint: host.docker.internal:18080
|
||||
endpoint: host.docker.internal:18083
|
||||
# max time to wait for a connection to be established
|
||||
connect_timeout: 0.005s
|
||||
|
|
|
|||
|
|
@ -2,14 +2,19 @@ services:
|
|||
api_server:
|
||||
build:
|
||||
context: .
|
||||
dockerfile: Dockerfile
|
||||
ports:
|
||||
- "18083:80"
|
||||
|
||||
chatbot_ui:
|
||||
build:
|
||||
context: ../shared/chatbot_ui
|
||||
dockerfile: Dockerfile
|
||||
ports:
|
||||
- "18080:8080"
|
||||
environment:
|
||||
- CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
|
||||
extra_hosts:
|
||||
- "host.docker.internal:host-gateway"
|
||||
volumes:
|
||||
- ./arch_config.yaml:/app/arch_config.yaml
|
||||
- ../shared/chatbot_ui/common.py:/app/common.py
|
||||
ports:
|
||||
- "18080:80"
|
||||
healthcheck:
|
||||
test: ["CMD", "curl" ,"http://localhost:80/healthz"]
|
||||
interval: 5s
|
||||
retries: 20
|
||||
|
|
|
|||
|
|
@ -1,15 +1,14 @@
|
|||
from openai import OpenAI
|
||||
from fastapi import FastAPI, HTTPException
|
||||
from pydantic import BaseModel, Field
|
||||
from typing import List, Optional
|
||||
from common import create_gradio_app
|
||||
import gradio as gr
|
||||
import os
|
||||
from typing import List, Optional
|
||||
|
||||
from fastapi import FastAPI, HTTPException
|
||||
from openai import OpenAI
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
app = FastAPI()
|
||||
demo_description = """This demo illustrates how **Arch** can be used to perform function calling with network-related tasks.
|
||||
In this demo, you act as a **network assistant** that provides factual information, without offering advice on manufacturers or purchasing decisions."""
|
||||
DEMO_DESCRIPTION = """This demo illustrates how **Arch** can be used to perform function calling
|
||||
with network-related tasks. In this demo, you act as a **network assistant** that provides factual
|
||||
information, without offering advice on manufacturers or purchasing decisions."""
|
||||
|
||||
|
||||
# Define the request model
|
||||
|
|
@ -52,7 +51,8 @@ def reboot_network_device(request_data: DeviceRebootRequest):
|
|||
# Access data from the Pydantic model
|
||||
device_ids = request_data.device_ids
|
||||
|
||||
# Validate 'device_ids' (This is already validated by Pydantic, but additional logic can be added if needed)
|
||||
# Validate 'device_ids'
|
||||
# (This is already validated by Pydantic, but additional logic can be added if needed)
|
||||
if not device_ids:
|
||||
raise HTTPException(
|
||||
status_code=400, detail="'device_ids' parameter is required"
|
||||
|
|
@ -87,7 +87,8 @@ def get_device_summary(request: DeviceSummaryRequest):
|
|||
stats = {
|
||||
"device_id": device_id,
|
||||
"time_range": f"Last {time_range} days",
|
||||
"data": f"Device {device_id} over the last {time_range} days experienced {minutes} minutes of downtime.",
|
||||
"data": f"""Device {device_id} over the last {time_range} days experienced {minutes}
|
||||
minutes of downtime.""",
|
||||
}
|
||||
minutes += 1
|
||||
statistics.append(DeviceStatistics(**stats))
|
||||
|
|
@ -100,10 +101,3 @@ client = OpenAI(
|
|||
api_key="--",
|
||||
base_url=CHAT_COMPLETION_ENDPOINT,
|
||||
)
|
||||
|
||||
gr.mount_gradio_app(
|
||||
app, create_gradio_app(demo_description, client), path="/agent/chat"
|
||||
)
|
||||
|
||||
if __name__ == "__main__":
|
||||
app.run(debug=True)
|
||||
|
|
|
|||
|
|
@ -1,10 +1,11 @@
|
|||
import pandas as pd
|
||||
import random
|
||||
from datetime import datetime, timedelta, timezone
|
||||
import re
|
||||
import logging
|
||||
from dateparser import parse
|
||||
import random
|
||||
import re
|
||||
import sqlite3
|
||||
from datetime import datetime, timedelta, timezone
|
||||
|
||||
import pandas as pd
|
||||
from dateparser import parse
|
||||
|
||||
logging.basicConfig(
|
||||
level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
|
||||
|
|
@ -12,7 +13,7 @@ logging.basicConfig(
|
|||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def load_sql():
|
||||
def loadsql():
|
||||
# Example Usage
|
||||
conn = sqlite3.connect(":memory:")
|
||||
|
||||
|
|
@ -72,7 +73,10 @@ def random_mac():
|
|||
|
||||
# Function to generate random IP addresses
|
||||
def random_ip():
|
||||
return f"{random.randint(1, 255)}.{random.randint(1, 255)}.{random.randint(1, 255)}.{random.randint(1, 255)}"
|
||||
return f"""{random.randint(1, 255)}
|
||||
.{random.randint(1, 255)}
|
||||
.{random.randint(1, 255)}
|
||||
.{random.randint(1, 255)}"""
|
||||
|
||||
|
||||
# Generate synthetic data for the device table
|
||||
|
|
@ -88,7 +92,8 @@ def generate_device_data(
|
|||
"layer": ["L2" if i % 2 == 0 else "L3" for i in range(n)],
|
||||
"region": [random.choice(["US", "EU", "ASIA"]) for _ in range(n)],
|
||||
"uptime": [
|
||||
f"{random.randint(0, 10)} days {random.randint(0, 23)}:{random.randint(0, 59)}:{random.randint(0, 59)}"
|
||||
f"""{random.randint(0, 10)} days {random.randint(0, 23)}
|
||||
:{random.randint(0, 59)}:{random.randint(0, 59)}"""
|
||||
for _ in range(n)
|
||||
],
|
||||
"device_mac_address": [random_mac() for _ in range(n)],
|
||||
|
|
@ -129,7 +134,6 @@ def generate_interface_stats_data(conn, device_df, n=1000):
|
|||
)
|
||||
df = pd.DataFrame(interface_stats_data)
|
||||
df.to_sql("interfacestats", conn, index=False)
|
||||
return
|
||||
|
||||
|
||||
# Generate synthetic data for the ts_flow table
|
||||
|
|
@ -175,14 +179,13 @@ def generate_flow_data(conn, device_df, n=1000):
|
|||
)
|
||||
df = pd.DataFrame(flow_data)
|
||||
df.to_sql("ts_flow", conn, index=False)
|
||||
return
|
||||
|
||||
|
||||
def load_params(req):
|
||||
# Step 1: Convert the from_time natural language string to a timestamp if provided
|
||||
if req.from_time:
|
||||
# Use `dateparser` to parse natural language timeframes
|
||||
logger.info(f"{'* ' * 50}\n\nCaptured from time: {req.from_time}\n\n")
|
||||
logger.info("%s\n\nCaptured from time: %s\n\n", "* " * 50, req.from_time)
|
||||
parsed_time = parse(req.from_time, settings={"RELATIVE_BASE": datetime.now()})
|
||||
if not parsed_time:
|
||||
conv_time = convert_to_ago_format(req.from_time)
|
||||
|
|
@ -192,15 +195,16 @@ def load_params(req):
|
|||
)
|
||||
else:
|
||||
return {
|
||||
"error": "Invalid from_time format. Please provide a valid time description such as 'past 7 days' or 'since last month'."
|
||||
"error": """Invalid from_time format. Please provide a valid time description
|
||||
such as 'past 7 days' or 'since last month'."""
|
||||
}
|
||||
logger.info(f"\n\nConverted from time: {parsed_time}\n\n{'* ' * 50}\n\n")
|
||||
logger.info("\n\nConverted from time: %s\n\n%s\n\n", parsed_time, "* " * 50)
|
||||
from_time = parsed_time
|
||||
logger.info(f"Using parsed from_time: {from_time}")
|
||||
logger.info("Using parsed from_time: %f", from_time)
|
||||
else:
|
||||
# If no from_time is provided, use a default value (e.g., the past 7 days)
|
||||
from_time = datetime.now() - timedelta(days=7)
|
||||
logger.info(f"Using default from_time: {from_time}")
|
||||
logger.info("Using default from_time: %f", from_time)
|
||||
|
||||
# Step 2: Build the dynamic SQL query based on the optional filters
|
||||
filters = []
|
||||
|
|
|
|||
35
demos/test_runner/common.py
Normal file
35
demos/test_runner/common.py
Normal file
|
|
@ -0,0 +1,35 @@
|
|||
import json
|
||||
|
||||
|
||||
ARCH_STATE_HEADER = "x-arch-state"
|
||||
|
||||
|
||||
def get_data_chunks(stream, n=1):
|
||||
chunks = []
|
||||
for chunk in stream.iter_lines():
|
||||
if chunk:
|
||||
chunk = chunk.decode("utf-8")
|
||||
chunk_data_id = chunk[0:6]
|
||||
assert chunk_data_id == "data: "
|
||||
chunk_data = chunk[6:]
|
||||
chunk_data = chunk_data.strip()
|
||||
chunks.append(chunk_data)
|
||||
if len(chunks) >= n:
|
||||
break
|
||||
return chunks
|
||||
|
||||
|
||||
def get_arch_messages(response_json):
|
||||
arch_messages = []
|
||||
if response_json and "metadata" in response_json:
|
||||
# load arch_state from metadata
|
||||
arch_state_str = response_json.get("metadata", {}).get(ARCH_STATE_HEADER, "{}")
|
||||
# parse arch_state into json object
|
||||
arch_state = json.loads(arch_state_str)
|
||||
# load messages from arch_state
|
||||
arch_messages_str = arch_state.get("messages", "[]")
|
||||
# parse messages into json object
|
||||
arch_messages = json.loads(arch_messages_str)
|
||||
# append messages from arch gateway to history
|
||||
return arch_messages
|
||||
return []
|
||||
484
demos/test_runner/poetry.lock
generated
Normal file
484
demos/test_runner/poetry.lock
generated
Normal file
|
|
@ -0,0 +1,484 @@
|
|||
# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2024.12.14"
|
||||
description = "Python package for providing Mozilla's CA Bundle."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
|
||||
{file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "charset-normalizer"
|
||||
version = "3.4.0"
|
||||
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4f9fc98dad6c2eaa32fc3af1417d95b5e3d08aff968df0cd320066def971f9a6"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5ed2e36c3e9b4f21dd9422f6893dec0abf2cca553af509b10cd630f878d3eb99"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40d3ff7fc90b98c637bda91c89d51264a3dcf210cade3a2c6f838c7268d7a4ca"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1110e22af8ca26b90bd6364fe4c763329b0ebf1ee213ba32b68c73de5752323d"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:86f4e8cca779080f66ff4f191a685ced73d2f72d50216f7112185dc02b90b9b7"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f683ddc7eedd742e2889d2bfb96d69573fde1d92fcb811979cdb7165bb9c7d3"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27623ba66c183eca01bf9ff833875b459cad267aeeb044477fedac35e19ba907"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f606a1881d2663630ea5b8ce2efe2111740df4b687bd78b34a8131baa007f79b"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0b309d1747110feb25d7ed6b01afdec269c647d382c857ef4663bbe6ad95a912"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:136815f06a3ae311fae551c3df1f998a1ebd01ddd424aa5603a4336997629e95"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:14215b71a762336254351b00ec720a8e85cada43b987da5a042e4ce3e82bd68e"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:79983512b108e4a164b9c8d34de3992f76d48cadc9554c9e60b43f308988aabe"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-win32.whl", hash = "sha256:c94057af19bc953643a33581844649a7fdab902624d2eb739738a30e2b3e60fc"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:55f56e2ebd4e3bc50442fbc0888c9d8c94e4e06a933804e2af3e89e2f9c1c749"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0d99dd8ff461990f12d6e42c7347fd9ab2532fb70e9621ba520f9e8637161d7c"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c57516e58fd17d03ebe67e181a4e4e2ccab1168f8c2976c6a334d4f819fe5944"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6dba5d19c4dfab08e58d5b36304b3f92f3bd5d42c1a3fa37b5ba5cdf6dfcbcee"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf4475b82be41b07cc5e5ff94810e6a01f276e37c2d55571e3fe175e467a1a1c"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce031db0408e487fd2775d745ce30a7cd2923667cf3b69d48d219f1d8f5ddeb6"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ff4e7cdfdb1ab5698e675ca622e72d58a6fa2a8aa58195de0c0061288e6e3ea"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3710a9751938947e6327ea9f3ea6332a09bf0ba0c09cae9cb1f250bd1f1549bc"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82357d85de703176b5587dbe6ade8ff67f9f69a41c0733cf2425378b49954de5"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:47334db71978b23ebcf3c0f9f5ee98b8d65992b65c9c4f2d34c2eaf5bcaf0594"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8ce7fd6767a1cc5a92a639b391891bf1c268b03ec7e021c7d6d902285259685c"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:f1a2f519ae173b5b6a2c9d5fa3116ce16e48b3462c8b96dfdded11055e3d6365"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:63bc5c4ae26e4bc6be6469943b8253c0fd4e4186c43ad46e713ea61a0ba49129"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bcb4f8ea87d03bc51ad04add8ceaf9b0f085ac045ab4d74e73bbc2dc033f0236"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-win32.whl", hash = "sha256:9ae4ef0b3f6b41bad6366fb0ea4fc1d7ed051528e113a60fa2a65a9abb5b1d99"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cee4373f4d3ad28f1ab6290684d8e2ebdb9e7a1b74fdc39e4c211995f77bec27"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0713f3adb9d03d49d365b70b84775d0a0d18e4ab08d12bc46baa6132ba78aaf6"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:de7376c29d95d6719048c194a9cf1a1b0393fbe8488a22008610b0361d834ecf"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a51b48f42d9358460b78725283f04bddaf44a9358197b889657deba38f329db"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b295729485b06c1a0683af02a9e42d2caa9db04a373dc38a6a58cdd1e8abddf1"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ee803480535c44e7f5ad00788526da7d85525cfefaf8acf8ab9a310000be4b03"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d59d125ffbd6d552765510e3f31ed75ebac2c7470c7274195b9161a32350284"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cda06946eac330cbe6598f77bb54e690b4ca93f593dee1568ad22b04f347c15"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07afec21bbbbf8a5cc3651aa96b980afe2526e7f048fdfb7f1014d84acc8b6d8"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6b40e8d38afe634559e398cc32b1472f376a4099c75fe6299ae607e404c033b2"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b8dcd239c743aa2f9c22ce674a145e0a25cb1566c495928440a181ca1ccf6719"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:84450ba661fb96e9fd67629b93d2941c871ca86fc38d835d19d4225ff946a631"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:44aeb140295a2f0659e113b31cfe92c9061622cadbc9e2a2f7b8ef6b1e29ef4b"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1db4e7fefefd0f548d73e2e2e041f9df5c59e178b4c72fbac4cc6f535cfb1565"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-win32.whl", hash = "sha256:5726cf76c982532c1863fb64d8c6dd0e4c90b6ece9feb06c9f202417a31f7dd7"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:b197e7094f232959f8f20541ead1d9862ac5ebea1d58e9849c1bf979255dfac9"},
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||||
{file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"},
|
||||
{file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"},
|
||||
{file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"},
|
||||
{file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"},
|
||||
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"},
|
||||
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317"},
|
||||
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85"},
|
||||
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"},
|
||||
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"},
|
||||
{file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"},
|
||||
{file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"},
|
||||
{file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"},
|
||||
{file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"},
|
||||
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5"},
|
||||
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425"},
|
||||
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476"},
|
||||
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48"},
|
||||
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b"},
|
||||
{file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"},
|
||||
{file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"},
|
||||
{file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"},
|
||||
{file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"},
|
||||
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"},
|
||||
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"},
|
||||
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5"},
|
||||
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"},
|
||||
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"},
|
||||
{file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"},
|
||||
{file = "PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563"},
|
||||
{file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"},
|
||||
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"},
|
||||
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"},
|
||||
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"},
|
||||
{file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"},
|
||||
{file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"},
|
||||
{file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"},
|
||||
{file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"},
|
||||
{file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"},
|
||||
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"},
|
||||
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"},
|
||||
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"},
|
||||
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"},
|
||||
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"},
|
||||
{file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"},
|
||||
{file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"},
|
||||
{file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "requests"
|
||||
version = "2.32.3"
|
||||
description = "Python HTTP for Humans."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
|
||||
{file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
certifi = ">=2017.4.17"
|
||||
charset-normalizer = ">=2,<4"
|
||||
idna = ">=2.5,<4"
|
||||
urllib3 = ">=1.21.1,<3"
|
||||
|
||||
[package.extras]
|
||||
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
|
||||
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
|
||||
|
||||
[[package]]
|
||||
name = "termcolor"
|
||||
version = "2.5.0"
|
||||
description = "ANSI color formatting for output in terminal"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "termcolor-2.5.0-py3-none-any.whl", hash = "sha256:37b17b5fc1e604945c2642c872a3764b5d547a48009871aea3edd3afa180afb8"},
|
||||
{file = "termcolor-2.5.0.tar.gz", hash = "sha256:998d8d27da6d48442e8e1f016119076b690d962507531df4890fcd2db2ef8a6f"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
tests = ["pytest", "pytest-cov"]
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "2.2.3"
|
||||
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
|
||||
{file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
|
||||
h2 = ["h2 (>=4,<5)"]
|
||||
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.12"
|
||||
content-hash = "be71fbf338d83dd6170e7d9df2df8d1035a07397fe5ffc522c96a92cfe3318bd"
|
||||
27
demos/test_runner/pyproject.toml
Normal file
27
demos/test_runner/pyproject.toml
Normal file
|
|
@ -0,0 +1,27 @@
|
|||
[tool.poetry]
|
||||
name = "demo tests"
|
||||
version = "0.0.1"
|
||||
description = "demo tests runner"
|
||||
authors = ["Katanemo Labs, Inc <info@katanemo.com>"]
|
||||
license = "Apache 2.0"
|
||||
readme = "README.md"
|
||||
package-mode = false
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.12"
|
||||
pytest = "^8.3.3"
|
||||
requests = "^2.29.0"
|
||||
pytest-sugar = "^1.0.0"
|
||||
deepdiff = "^8.0.1"
|
||||
pytest-retry = "^1.6.3"
|
||||
pyyaml = "*"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
pytest-cov = "^4.1.0"
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
python_files = ["test*.py"]
|
||||
addopts = ["-v", "-s"]
|
||||
retries = 2
|
||||
retry_delay = 0.5
|
||||
cumulative_timing = false
|
||||
19
demos/test_runner/run_demo_tests.sh
Normal file
19
demos/test_runner/run_demo_tests.sh
Normal file
|
|
@ -0,0 +1,19 @@
|
|||
#!/bin/bash
|
||||
set -eu
|
||||
|
||||
# for demo in currency_exchange hr_agent
|
||||
for demo in currency_exchange
|
||||
do
|
||||
echo "******************************************"
|
||||
echo "Running tests for $demo ..."
|
||||
echo "****************************************"
|
||||
cd ../$demo
|
||||
archgw up arch_config.yaml
|
||||
docker compose up -d
|
||||
cd ../test_runner
|
||||
TEST_DATA=../$demo/test_data.yaml poetry run pytest
|
||||
cd ../$demo
|
||||
archgw down
|
||||
docker compose down -v
|
||||
cd ../test_runner
|
||||
done
|
||||
60
demos/test_runner/test_demos.py
Normal file
60
demos/test_runner/test_demos.py
Normal file
|
|
@ -0,0 +1,60 @@
|
|||
import json
|
||||
import os
|
||||
from common import get_arch_messages
|
||||
import pytest
|
||||
import requests
|
||||
from deepdiff import DeepDiff
|
||||
import logging
|
||||
import yaml
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
logger.setLevel(logging.DEBUG)
|
||||
|
||||
ARCHGW_ENDPOINT = os.getenv(
|
||||
"ARCHGW_ENDPOINT", "http://localhost:10000/v1/chat/completions"
|
||||
)
|
||||
|
||||
# Load test data from YAML file
|
||||
with open(os.getenv("TEST_DATA", "test_data.yaml"), "r") as file:
|
||||
test_data_yaml = yaml.safe_load(file)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"test_data",
|
||||
[
|
||||
pytest.param(test_case, id=test_case["id"])
|
||||
for test_case in test_data_yaml["test_cases"]
|
||||
],
|
||||
)
|
||||
def test_demos(test_data):
|
||||
input = test_data["input"]
|
||||
expected_tools = test_data["expected_tools"]
|
||||
expected_output_contains = test_data["expected_output_contains"]
|
||||
|
||||
response = requests.post(ARCHGW_ENDPOINT, json=input)
|
||||
assert response.status_code == 200
|
||||
# ensure that response is json
|
||||
assert response.headers["content-type"] == "application/json"
|
||||
|
||||
response_json = response.json()
|
||||
assert response_json.get("model").startswith("gpt-4o")
|
||||
choices = response_json.get("choices", [])
|
||||
assert len(choices) > 0
|
||||
|
||||
# ensure that model responded according to the expectation
|
||||
assert "role" in choices[0]["message"]
|
||||
assert choices[0]["message"]["role"] == "assistant"
|
||||
assert expected_output_contains.lower() in choices[0]["message"]["content"].lower()
|
||||
|
||||
# now verify arch_messages (tool call and api response) that are sent as response metadata
|
||||
arch_messages = get_arch_messages(response_json)
|
||||
assert len(arch_messages) == 2
|
||||
tool_calls_message = arch_messages[0]
|
||||
tool_calls = tool_calls_message.get("tool_calls", [])
|
||||
assert len(tool_calls) > 0
|
||||
|
||||
# remove dynamic id from tool_calls
|
||||
for tool_call in tool_calls:
|
||||
tool_call.pop("id", None)
|
||||
diff = DeepDiff(expected_tools, tool_calls, ignore_string_case=True)
|
||||
assert not diff
|
||||
|
|
@ -42,21 +42,18 @@ prompt_guards:
|
|||
message: Looks like you're curious about my abilities, but I can only provide assistance for weather forecasting.
|
||||
|
||||
prompt_targets:
|
||||
- name: weather_forecast
|
||||
description: Check weather information for a given city.
|
||||
- name: get_current_weather
|
||||
description: Get current weather at a location.
|
||||
parameters:
|
||||
- name: city
|
||||
description: the name of the city
|
||||
- name: location
|
||||
description: The location to get the weather for
|
||||
required: true
|
||||
type: str
|
||||
type: string
|
||||
format: City, State
|
||||
- name: days
|
||||
description: the number of days
|
||||
type: int
|
||||
description: the number of days for the request
|
||||
required: true
|
||||
- name: units
|
||||
description: the temperature unit, e.g., Celsius and Fahrenheit
|
||||
type: str
|
||||
default: Fahrenheit
|
||||
type: int
|
||||
endpoint:
|
||||
name: weather_forecast_service
|
||||
path: /weather
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
services:
|
||||
weather_forecast_service:
|
||||
build:
|
||||
context: ./weather_forecast_service
|
||||
context: ./
|
||||
environment:
|
||||
- OLTP_HOST=http://otel-collector:4317
|
||||
extra_hosts:
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@ include:
|
|||
services:
|
||||
weather_forecast_service:
|
||||
build:
|
||||
context: ./weather_forecast_service
|
||||
context: .
|
||||
environment:
|
||||
- OLTP_HOST=http://otel-collector:4317
|
||||
extra_hosts:
|
||||
|
|
|
|||
|
|
@ -42,7 +42,7 @@ async def healthz():
|
|||
|
||||
|
||||
class WeatherRequest(BaseModel):
|
||||
city: str
|
||||
location: str
|
||||
days: int = 7
|
||||
units: str = "Farenheit"
|
||||
|
||||
|
|
@ -50,7 +50,7 @@ class WeatherRequest(BaseModel):
|
|||
@app.post("/weather")
|
||||
async def weather(req: WeatherRequest, res: Response):
|
||||
weather_forecast = {
|
||||
"city": req.city,
|
||||
"location": req.location,
|
||||
"temperature": [],
|
||||
"units": req.units,
|
||||
}
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@
|
|||
name = "api-server"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["Adil Hafeez <adil@katanemo.com>"]
|
||||
authors = ["Adil Hafeez <info@katanemo.com>"]
|
||||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
|
|
|
|||
|
|
@ -56,7 +56,7 @@ start_demo() {
|
|||
|
||||
load_env
|
||||
|
||||
if [ "$1" == "logfire" ] && [ -z "$LOGFIRE_API_KEY"]; then
|
||||
if [ "$1" == "logfire" ] && [ -z "$LOGFIRE_API_KEY" ]; then
|
||||
echo "Error: LOGFIRE_API_KEY environment variable is required for Logfire."
|
||||
exit 1
|
||||
fi
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue