Flow visualizer (#1375)

* Almost working!

* It fully works but not clean enought

* Working but not clean engouth

* Everything is workign

* WIP. Working on adding and & or to flows. In the middle of setting up template for flow as well

* template working

* Everything is working

* More changes and todos

* Add more support for @start

* Router working now

* minor tweak to

* minor tweak to conditions and event handling

* Update logs

* Too trigger happy with cleanup

* Added in Thiago fix

* Flow passing results again

* Working on docs.

* made more progress updates on docs

* Finished talking about controlling flows

* add flow output

* fixed flow output section

* add crews to flows section is looking good now

* more flow doc changes

* Update docs and add more examples

* drop visualizer

* save visualizer

* pyvis is beginning to work

* pyvis working

* it is working

* regular methods and triggers working. Need to work on router next.

* properly identifying router and router children nodes. Need to fix color

* children router working. Need to support loops

* curving cycles but need to add curve conditionals

* everythin is showing up properly need to fix curves

* all working. needs to be cleaned up

* adjust padding

* drop lib

* clean up prior to PR

* incorporate joao feedback

* final tweaks for joao
This commit is contained in:
Brandon Hancock (bhancock_ai)
2024-09-30 19:52:56 -04:00
committed by GitHub
parent 7f830b4f43
commit 32fdd11c93
12 changed files with 1158 additions and 906 deletions

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@@ -1,12 +1,13 @@
import warnings
from crewai.agent import Agent
from crewai.crew import Crew
from crewai.flow.flow import Flow
from crewai.llm import LLM
from crewai.pipeline import Pipeline
from crewai.process import Process
from crewai.routers import Router
from crewai.task import Task
from crewai.llm import LLM
warnings.filterwarnings(
"ignore",
@@ -15,4 +16,4 @@ warnings.filterwarnings(
module="pydantic.main",
)
__all__ = ["Agent", "Crew", "Process", "Task", "Pipeline", "Router", "LLM"]
__all__ = ["Agent", "Crew", "Process", "Task", "Pipeline", "Router", "LLM", "Flow"]

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@@ -38,7 +38,7 @@ def create_flow(name):
]
def process_file(src_file, dst_file):
if src_file.suffix in ['.pyc', '.pyo', '.pyd']:
if src_file.suffix in [".pyc", ".pyo", ".pyd"]:
return
try:

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@@ -1,2 +1,3 @@
.env
__pycache__/
lib/

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@@ -0,0 +1,3 @@
from crewai.flow.flow import Flow
__all__ = ["Flow"]

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@@ -0,0 +1,93 @@
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<title>{{ title }}</title>
<script
src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js"
integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ=="
crossorigin="anonymous"
referrerpolicy="no-referrer"
></script>
<link
rel="stylesheet"
href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css"
integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA=="
crossorigin="anonymous"
referrerpolicy="no-referrer"
/>
<style type="text/css">
body {
font-family: verdana;
margin: 0;
padding: 0;
}
.container {
display: flex;
flex-direction: column;
height: 100vh;
}
#mynetwork {
flex-grow: 1;
width: 100%;
height: 750px;
background-color: #ffffff;
}
.card {
border: none;
}
.legend-container {
display: flex;
align-items: center;
justify-content: center;
padding: 10px;
background-color: #f8f9fa;
position: fixed; /* Make the legend fixed */
bottom: 0; /* Position it at the bottom */
width: 100%; /* Make it span the full width */
}
.legend-item {
display: flex;
align-items: center;
margin-right: 20px;
}
.legend-color-box {
width: 20px;
height: 20px;
margin-right: 5px;
}
.logo {
height: 50px;
margin-right: 20px;
}
.legend-dashed {
border-bottom: 2px dashed #666666;
width: 20px;
height: 0;
margin-right: 5px;
}
.legend-solid {
border-bottom: 2px solid #666666;
width: 20px;
height: 0;
margin-right: 5px;
}
</style>
</head>
<body>
<div class="container">
<div class="card" style="width: 100%">
<div id="mynetwork" class="card-body"></div>
</div>
<div class="legend-container">
<img
src="data:image/svg+xml;base64,{{ logo_svg_base64 }}"
alt="CrewAI logo"
class="logo"
/>
<!-- LEGEND_ITEMS_PLACEHOLDER -->
</div>
</div>
{{ network_content }}
</body>
</html>

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After

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@@ -1,9 +1,13 @@
# flow.py
import asyncio
import inspect
from typing import Any, Callable, Dict, Generic, List, Set, Type, TypeVar, Union
from pydantic import BaseModel
from crewai.flow.flow_visualizer import visualize_flow
T = TypeVar("T", bound=Union[BaseModel, Dict[str, Any]])
@@ -57,10 +61,12 @@ def listen(condition):
return decorator
def router(method):
def router(method, paths=None):
def decorator(func):
func.__is_router__ = True
func.__router_for__ = method.__name__
if paths:
func.__router_paths__ = paths
return func
return decorator
@@ -101,6 +107,7 @@ class FlowMeta(type):
start_methods = []
listeners = {}
routers = {}
router_paths = {}
for attr_name, attr_value in dct.items():
if hasattr(attr_value, "__is_start_method__"):
@@ -115,10 +122,19 @@ class FlowMeta(type):
listeners[attr_name] = (condition_type, methods)
elif hasattr(attr_value, "__is_router__"):
routers[attr_value.__router_for__] = attr_name
if hasattr(attr_value, "__router_paths__"):
router_paths[attr_name] = attr_value.__router_paths__
# **Register router as a listener to its triggering method**
trigger_method_name = attr_value.__router_for__
methods = [trigger_method_name]
condition_type = "OR"
listeners[attr_name] = (condition_type, methods)
setattr(cls, "_start_methods", start_methods)
setattr(cls, "_listeners", listeners)
setattr(cls, "_routers", routers)
setattr(cls, "_router_paths", router_paths)
return cls
@@ -127,6 +143,7 @@ class Flow(Generic[T], metaclass=FlowMeta):
_start_methods: List[str] = []
_listeners: Dict[str, tuple[str, List[str]]] = {}
_routers: Dict[str, str] = {}
_router_paths: Dict[str, List[str]] = {}
initial_state: Union[Type[T], T, None] = None
def __class_getitem__(cls, item):
@@ -250,3 +267,6 @@ class Flow(Generic[T], metaclass=FlowMeta):
import traceback
traceback.print_exc()
def visualize(self, filename: str = "crewai_flow_graph"):
visualize_flow(self, filename)

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@@ -0,0 +1,474 @@
# flow_visualizer.py
import base64
import os
import re
from pyvis.network import Network
DARK_GRAY = "#333333"
CREWAI_ORANGE = "#FF5A50"
GRAY = "#666666"
WHITE = "#FFFFFF"
class FlowVisualizer:
def __init__(self, flow):
self.flow = flow
self.colors = {
"bg": WHITE,
"start": CREWAI_ORANGE,
"method": DARK_GRAY,
"router": DARK_GRAY,
"router_border": CREWAI_ORANGE,
"edge": GRAY,
"router_edge": CREWAI_ORANGE,
"text": WHITE,
}
self.node_styles = {
"start": {
"color": self.colors["start"],
"shape": "box",
"font": {"color": self.colors["text"]},
"margin": {"top": 10, "bottom": 8, "left": 10, "right": 10},
},
"method": {
"color": self.colors["method"],
"shape": "box",
"font": {"color": self.colors["text"]},
"margin": {"top": 10, "bottom": 8, "left": 10, "right": 10},
},
"router": {
"color": {
"background": self.colors["router"],
"border": self.colors["router_border"],
"highlight": {
"border": self.colors["router_border"],
"background": self.colors["router"],
},
},
"shape": "box",
"font": {"color": self.colors["text"]},
"borderWidth": 3,
"borderWidthSelected": 4,
"shapeProperties": {"borderDashes": [5, 5]},
"margin": {"top": 10, "bottom": 8, "left": 10, "right": 10},
},
}
# TODO: DROP LIB FOLDER POST GENERATION
def visualize(self, filename):
net = Network(
directed=True,
height="750px",
width="100%",
bgcolor=self.colors["bg"],
layout=None,
)
# Calculate levels for nodes
node_levels = self._calculate_node_levels()
# Assign positions to nodes based on levels
y_spacing = 150
x_spacing = 150
level_nodes = {}
# Store node positions for edge calculations
node_positions = {}
for method_name, level in node_levels.items():
level_nodes.setdefault(level, []).append(method_name)
# Compute positions
for level, nodes in level_nodes.items():
x_offset = -(len(nodes) - 1) * x_spacing / 2 # Center nodes horizontally
for i, method_name in enumerate(nodes):
x = x_offset + i * x_spacing
y = level * y_spacing
node_positions[method_name] = (x, y)
method = self.flow._methods.get(method_name)
if hasattr(method, "__is_start_method__"):
node_style = self.node_styles["start"]
elif hasattr(method, "__is_router__"):
node_style = self.node_styles["router"]
else:
node_style = self.node_styles["method"]
net.add_node(
method_name,
label=method_name,
x=x,
y=y,
fixed=True,
physics=False,
**node_style,
)
ancestors = self._build_ancestor_dict()
parent_children = self._build_parent_children_dict()
# Add edges
for method_name in self.flow._listeners:
condition_type, trigger_methods = self.flow._listeners[method_name]
is_and_condition = condition_type == "AND"
for trigger in trigger_methods:
if (
trigger in self.flow._methods
or trigger in self.flow._routers.values()
):
is_router_edge = any(
trigger in paths for paths in self.flow._router_paths.values()
)
edge_color = (
self.colors["router_edge"]
if is_router_edge
else self.colors["edge"]
)
# Determine if this edge forms a cycle
is_cycle_edge = self._is_ancestor(trigger, method_name, ancestors)
# Determine if parent has multiple children
parent_has_multiple_children = (
len(parent_children.get(trigger, [])) > 1
)
# Edge curvature logic
needs_curvature = is_cycle_edge or parent_has_multiple_children
if needs_curvature:
# Get node positions
source_pos = node_positions.get(trigger)
target_pos = node_positions.get(method_name)
if source_pos and target_pos:
dx = target_pos[0] - source_pos[0]
if dx <= 0:
# Child is left or directly below
smooth_type = "curvedCCW" # Curve left and down
else:
# Child is to the right
smooth_type = "curvedCW" # Curve right and down
index = self._get_child_index(
trigger, method_name, parent_children
)
edge_smooth = {
"type": smooth_type,
"roundness": 0.2 + (0.1 * index),
}
else:
# Fallback curvature
edge_smooth = {"type": "cubicBezier"}
else:
edge_smooth = False # Draw straight line
edge_style = {
"color": edge_color,
"width": 2,
"arrows": "to",
"dashes": True if is_router_edge or is_and_condition else False,
"smooth": edge_smooth,
}
net.add_edge(trigger, method_name, **edge_style)
# Add edges from router methods to their possible paths
for router_method_name, paths in self.flow._router_paths.items():
for path in paths:
for listener_name, (
condition_type,
trigger_methods,
) in self.flow._listeners.items():
if path in trigger_methods:
is_cycle_edge = self._is_ancestor(
trigger, method_name, ancestors
)
# Determine if parent has multiple children
parent_has_multiple_children = (
len(parent_children.get(router_method_name, [])) > 1
)
# Edge curvature logic
needs_curvature = is_cycle_edge or parent_has_multiple_children
if needs_curvature:
# Get node positions
source_pos = node_positions.get(router_method_name)
target_pos = node_positions.get(listener_name)
if source_pos and target_pos:
dx = target_pos[0] - source_pos[0]
if dx <= 0:
# Child is left or directly below
smooth_type = "curvedCCW" # Curve left and down
else:
# Child is to the right
smooth_type = "curvedCW" # Curve right and down
index = self._get_child_index(
router_method_name, listener_name, parent_children
)
edge_smooth = {
"type": smooth_type,
"roundness": 0.2 + (0.1 * index),
}
else:
# Fallback curvature
edge_smooth = {"type": "cubicBezier"}
else:
edge_smooth = False # Straight line
edge_style = {
"color": self.colors["router_edge"],
"width": 2,
"arrows": "to",
"dashes": True,
"smooth": edge_smooth,
}
net.add_edge(router_method_name, listener_name, **edge_style)
# Set options to disable physics
net.set_options(
"""
var options = {
"physics": {
"enabled": false
}
}
"""
)
network_html = net.generate_html()
# Extract just the body content from the generated HTML
match = re.search("<body.*?>(.*?)</body>", network_html, re.DOTALL)
if match:
network_body = match.group(1)
else:
network_body = ""
# Read the custom template
current_dir = os.path.dirname(__file__)
template_path = os.path.join(
current_dir, "assets", "crewai_flow_visual_template.html"
)
with open(template_path, "r", encoding="utf-8") as f:
html_template = f.read()
# Generate the legend items HTML
legend_items = [
{"label": "Start Method", "color": self.colors["start"]},
{"label": "Method", "color": self.colors["method"]},
{
"label": "Router",
"color": self.colors["router"],
"border": self.colors["router_border"],
"dashed": True,
},
{"label": "Trigger", "color": self.colors["edge"], "dashed": False},
{"label": "AND Trigger", "color": self.colors["edge"], "dashed": True},
{
"label": "Router Trigger",
"color": self.colors["router_edge"],
"dashed": True,
},
]
legend_items_html = ""
for item in legend_items:
if "border" in item:
legend_items_html += f"""
<div class="legend-item">
<div class="legend-color-box" style="background-color: {item['color']}; border: 2px dashed {item['border']};"></div>
<div>{item['label']}</div>
</div>
"""
elif item.get("dashed") is not None:
style = "dashed" if item["dashed"] else "solid"
legend_items_html += f"""
<div class="legend-item">
<div class="legend-{style}" style="border-bottom: 2px {style} {item['color']};"></div>
<div>{item['label']}</div>
</div>
"""
else:
legend_items_html += f"""
<div class="legend-item">
<div class="legend-color-box" style="background-color: {item['color']};"></div>
<div>{item['label']}</div>
</div>
"""
# Read the logo file and encode it
logo_path = os.path.join(current_dir, "assets", "crewai_logo.svg")
with open(logo_path, "rb") as logo_file:
logo_svg_data = logo_file.read()
logo_svg_base64 = base64.b64encode(logo_svg_data).decode("utf-8")
# Replace placeholders in the template
final_html_content = html_template.replace("{{ title }}", "Flow Graph")
final_html_content = final_html_content.replace(
"{{ network_content }}", network_body
)
final_html_content = final_html_content.replace(
"{{ logo_svg_base64 }}", logo_svg_base64
)
final_html_content = final_html_content.replace(
"<!-- LEGEND_ITEMS_PLACEHOLDER -->", legend_items_html
)
# Save the final HTML content to the file
with open(f"{filename}.html", "w", encoding="utf-8") as f:
f.write(final_html_content)
print(f"Graph saved as {filename}.html")
def _calculate_node_levels(self):
levels = {}
queue = []
visited = set()
pending_and_listeners = {}
# Make all start methods at level 0
for method_name, method in self.flow._methods.items():
if hasattr(method, "__is_start_method__"):
levels[method_name] = 0
queue.append(method_name)
# Breadth-first traversal to assign levels
while queue:
current = queue.pop(0)
current_level = levels[current]
visited.add(current)
for listener_name, (
condition_type,
trigger_methods,
) in self.flow._listeners.items():
if condition_type == "OR":
if current in trigger_methods:
if (
listener_name not in levels
or levels[listener_name] > current_level + 1
):
levels[listener_name] = current_level + 1
if listener_name not in visited:
queue.append(listener_name)
elif condition_type == "AND":
if listener_name not in pending_and_listeners:
pending_and_listeners[listener_name] = set()
if current in trigger_methods:
pending_and_listeners[listener_name].add(current)
if set(trigger_methods) == pending_and_listeners[listener_name]:
if (
listener_name not in levels
or levels[listener_name] > current_level + 1
):
levels[listener_name] = current_level + 1
if listener_name not in visited:
queue.append(listener_name)
# Handle router connections
if current in self.flow._routers.values():
router_method_name = current
paths = self.flow._router_paths.get(router_method_name, [])
for path in paths:
for listener_name, (
condition_type,
trigger_methods,
) in self.flow._listeners.items():
if path in trigger_methods:
if (
listener_name not in levels
or levels[listener_name] > current_level + 1
):
levels[listener_name] = current_level + 1
if listener_name not in visited:
queue.append(listener_name)
return levels
def _count_outgoing_edges(self):
counts = {}
for method_name in self.flow._methods:
counts[method_name] = 0
for method_name in self.flow._listeners:
_, trigger_methods = self.flow._listeners[method_name]
for trigger in trigger_methods:
if trigger in self.flow._methods:
counts[trigger] += 1
return counts
def _build_ancestor_dict(self):
ancestors = {node: set() for node in self.flow._methods}
visited = set()
for node in self.flow._methods:
if node not in visited:
self._dfs_ancestors(node, ancestors, visited)
return ancestors
def _dfs_ancestors(self, node, ancestors, visited):
if node in visited:
return
visited.add(node)
# Handle regular listeners
for listener_name, (_, trigger_methods) in self.flow._listeners.items():
if node in trigger_methods:
ancestors[listener_name].add(node)
ancestors[listener_name].update(ancestors[node])
self._dfs_ancestors(listener_name, ancestors, visited)
# Handle router methods separately
if node in self.flow._routers.values():
router_method_name = node
paths = self.flow._router_paths.get(router_method_name, [])
for path in paths:
for listener_name, (_, trigger_methods) in self.flow._listeners.items():
if path in trigger_methods:
# Only propagate the ancestors of the router method, not the router method itself
ancestors[listener_name].update(ancestors[node])
self._dfs_ancestors(listener_name, ancestors, visited)
def _is_ancestor(self, node, ancestor_candidate, ancestors):
return ancestor_candidate in ancestors.get(node, set())
def _build_parent_children_dict(self):
parent_children = {}
# Map listeners to their trigger methods
for listener_name, (_, trigger_methods) in self.flow._listeners.items():
for trigger in trigger_methods:
if trigger not in parent_children:
parent_children[trigger] = []
if listener_name not in parent_children[trigger]:
parent_children[trigger].append(listener_name)
# Map router methods to their paths and to listeners
for router_method_name, paths in self.flow._router_paths.items():
for path in paths:
# Map router method to listeners of each path
for listener_name, (_, trigger_methods) in self.flow._listeners.items():
if path in trigger_methods:
if router_method_name not in parent_children:
parent_children[router_method_name] = []
if listener_name not in parent_children[router_method_name]:
parent_children[router_method_name].append(listener_name)
return parent_children
def _get_child_index(self, parent, child, parent_children):
children = parent_children.get(parent, [])
children.sort()
return children.index(child)
def visualize_flow(flow, filename="flow_graph"):
visualizer = FlowVisualizer(flow)
visualizer.visualize(filename)