feat: Generic Callback Dialog Input for Custom Component (#6236)

* force dialog

* Reimplement backend dialog

* Update astradb.py

* Clean up dropdown options

* Remove unused import

* [autofix.ci] apply automated fixes

* Update astradb.py

* Ruff fixes

* Update Vector Store RAG.json

* [autofix.ci] apply automated fixes

* fix: Conditionally render custom option dialog in dropdown

*  (NodeDialogComponent/index.tsx): Add support for passing 'name' prop to NodeDialog component to improve customization and flexibility
📝 (NodeDialogComponent/index.tsx): Update comments and remove unused import to improve code readability and maintainability
🔧 (dropdownComponent/index.tsx): Pass 'name' prop to Dropdown component to enhance customization and flexibility

*  Refactor NodeDialog component to improve state management and payload handling

* Update astradb.py

* [autofix.ci] apply automated fixes

*  Enhance NodeDialog and Dropdown components with improved payload handling and type safety

* Add DB creation functionality

* First version of create

* Update astradb.py

* Fix ruff errors

* Update Vector Store RAG.json

* [autofix.ci] apply automated fixes

* Update astradb.py

* [autofix.ci] apply automated fixes

* Update astradb.py

* [autofix.ci] apply automated fixes

* Update astradb.py

* Update astradb.py

* Update astradb.py

* Update Vector Store RAG.json

* [autofix.ci] apply automated fixes

* Update astradb.py

* [autofix.ci] apply automated fixes

* feat: Enhance dropdown and node dialog with loading states and improved UX

* refactor: Improve error handling in NodeDialog component

* refactor: Update default excluded keys in dropdown metadata filter

* [autofix.ci] apply automated fixes

* refactor: Update Vector Store RAG starter project JSON with formatting and connection ID corrections

* Hide fields that aren't relevant yet

* [autofix.ci] apply automated fixes

* Update Vector Store RAG.json

* [autofix.ci] apply automated fixes

* Update astradb.py

* feat: Improve dropdown component with loading states and enhanced UX

* Update astradb.py

* [autofix.ci] apply automated fixes

* Update astradb.py

* Simon feedback

* [autofix.ci] apply automated fixes

* feat: Enhance dropdown and UI components with status indicators and loading states

* refactor: Update dropdown metadata filtering to exclude 'icon' key

* fix: Conditionally render dropdown icon when available

* fix: Improve dropdown icon rendering with null checks

* chore: Remove debug console log in dropdown component

* Add support for icons in the dropdowns

* Update astradb.py

* Update Vector Store RAG.json

* [autofix.ci] apply automated fixes

* feat: Enhance dropdown status display and color handling

* feat: Add auto-close functionality to node dialog and expand status color handling

* feat: Add real-time template refresh for node dialog fields

* refactor: Improve node dialog component state management and naming

* Async for create collection

* [autofix.ci] apply automated fixes

* Dynamic provider list generation

* Update astradb.py

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes (attempt 2/3)

* Update astradb.py

* [autofix.ci] apply automated fixes

---------

Co-authored-by: Eric Hare <ericrhare@gmail.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: cristhianzl <cristhian.lousa@gmail.com>
This commit is contained in:
Deon Sanchez 2025-02-14 19:10:12 -07:00 committed by GitHub
commit c902fb9e11
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11 changed files with 1314 additions and 538 deletions

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@ -1,8 +1,8 @@
import os
from collections import defaultdict
from dataclasses import dataclass, field
from dataclasses import asdict, dataclass, field
from astrapy import AstraDBAdmin, DataAPIClient, Database
from astrapy.info import CollectionDescriptor
from langchain_astradb import AstraDBVectorStore, CollectionVectorServiceOptions
from langflow.base.vectorstores.model import LCVectorStoreComponent, check_cached_vector_store
@ -36,22 +36,24 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
default_factory=lambda: {
"data": {
"node": {
"description": "Create a new database in Astra DB.",
"display_name": "Create New Database",
"name": "create_database",
"description": "",
"display_name": "Create new database",
"field_order": ["new_database_name", "cloud_provider", "region"],
"template": {
"new_database_name": StrInput(
name="new_database_name",
display_name="New Database Name",
display_name="Name",
info="Name of the new database to create in Astra DB.",
required=True,
),
"cloud_provider": DropdownInput(
name="cloud_provider",
display_name="Cloud Provider",
display_name="Cloud provider",
info="Cloud provider for the new database.",
options=["Amazon Web Services", "Google Cloud Platform", "Microsoft Azure"],
required=True,
real_time_refresh=True,
),
"region": DropdownInput(
name="region",
@ -73,8 +75,9 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
default_factory=lambda: {
"data": {
"node": {
"description": "Create a new collection in Astra DB.",
"display_name": "Create New Collection",
"name": "create_collection",
"description": "",
"display_name": "Create new collection",
"field_order": [
"new_collection_name",
"embedding_generation_provider",
@ -83,23 +86,31 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
"template": {
"new_collection_name": StrInput(
name="new_collection_name",
display_name="New Collection Name",
display_name="Name",
info="Name of the new collection to create in Astra DB.",
required=True,
),
"embedding_generation_provider": DropdownInput(
name="embedding_generation_provider",
display_name="Embedding Generation Provider",
display_name="Embedding generation method",
info="Provider to use for generating embeddings.",
options=[],
real_time_refresh=True,
required=True,
options=["Bring your own", "Nvidia"],
),
"embedding_generation_model": DropdownInput(
name="embedding_generation_model",
display_name="Embedding Generation Model",
display_name="Embedding model",
info="Model to use for generating embeddings.",
options=[],
required=True,
options=[],
),
"dimension": IntInput(
name="dimension",
display_name="Dimensions (Required only for `Bring your own`)",
info="Dimensions of the embeddings to generate.",
required=False,
value=1024,
),
},
},
@ -125,17 +136,18 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
real_time_refresh=True,
),
DropdownInput(
name="api_endpoint",
name="database_name",
display_name="Database",
info="The Database / API Endpoint for the Astra DB instance.",
info="The Database name for the Astra DB instance.",
required=True,
refresh_button=True,
real_time_refresh=True,
dialog_inputs=asdict(NewDatabaseInput()),
combobox=True,
),
StrInput(
name="d_api_endpoint",
display_name="Database API Endpoint",
name="api_endpoint",
display_name="Astra DB API Endpoint",
info="The API Endpoint for the Astra DB instance. Supercedes database selection.",
advanced=True,
),
@ -146,8 +158,9 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
required=True,
refresh_button=True,
real_time_refresh=True,
# dialog_inputs=asdict(NewCollectionInput()),
dialog_inputs=asdict(NewCollectionInput()),
combobox=True,
advanced=True,
),
StrInput(
name="keyspace",
@ -238,6 +251,7 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
@classmethod
def map_cloud_providers(cls):
# TODO: Programmatically fetch the regions for each cloud provider
return {
"Amazon Web Services": {
"id": "aws",
@ -254,54 +268,87 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
}
@classmethod
def create_database_api(
def get_vectorize_providers(cls, token: str, environment: str | None = None, api_endpoint: str | None = None):
try:
# Get the admin object
admin = AstraDBAdmin(token=token, environment=environment)
db_admin = admin.get_database_admin(api_endpoint=api_endpoint)
# Get the list of embedding providers
embedding_providers = db_admin.find_embedding_providers().as_dict()
vectorize_providers_mapping = {}
# Map the provider display name to the provider key and models
for provider_key, provider_data in embedding_providers["embeddingProviders"].items():
# Get the provider display name and models
display_name = provider_data["displayName"]
models = [model["name"] for model in provider_data["models"]]
# Build our mapping
vectorize_providers_mapping[display_name] = [provider_key, models]
# Sort the resulting dictionary
return defaultdict(list, dict(sorted(vectorize_providers_mapping.items())))
except Exception as e:
msg = f"Error fetching vectorize providers: {e}"
raise ValueError(msg) from e
@classmethod
async def create_database_api(
cls,
token: str,
new_database_name: str,
cloud_provider: str,
region: str,
token: str,
environment: str | None = None,
keyspace: str | None = None,
):
client = DataAPIClient(token=token)
client = DataAPIClient(token=token, environment=environment)
# Get the admin object
admin_client = client.get_admin(token=token)
# Call the create database function
return admin_client.create_database(
return await admin_client.async_create_database(
name=new_database_name,
cloud_provider=cloud_provider,
cloud_provider=cls.map_cloud_providers()[cloud_provider]["id"],
region=region,
keyspace=keyspace,
wait_until_active=False,
)
@classmethod
def create_collection_api(
async def create_collection_api(
cls,
token: str,
database_name: str,
new_collection_name: str,
token: str,
api_endpoint: str,
environment: str | None = None,
keyspace: str | None = None,
dimension: int | None = None,
embedding_generation_provider: str | None = None,
embedding_generation_model: str | None = None,
):
# Create the data API client
client = DataAPIClient(token=token)
api_endpoint = cls.get_api_endpoint_static(token=token, database_name=database_name)
# Get the database object
database = client.get_database(api_endpoint=api_endpoint, token=token)
database = client.get_async_database(api_endpoint=api_endpoint, token=token)
# Build vectorize options, if needed
vectorize_options = None
if not dimension:
vectorize_options = CollectionVectorServiceOptions(
provider=embedding_generation_provider,
provider=cls.get_vectorize_providers(
token=token, environment=environment, api_endpoint=api_endpoint
).get(embedding_generation_provider, [None, []])[0],
model_name=embedding_generation_model,
authentication=None,
parameters=None,
)
# Create the collection
return database.create_collection(
return await database.create_collection(
name=new_collection_name,
keyspace=keyspace,
dimension=dimension,
service=vectorize_options,
)
@ -325,16 +372,28 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
db_info_dict = {}
for db in db_list:
try:
# Get the API endpoint for the database
api_endpoint = f"https://{db.info.id}-{db.info.region}.apps.astra{env_string}.datastax.com"
db_info_dict[db.info.name] = {
"api_endpoint": api_endpoint,
"collections": len(
# Get the number of collections
try:
num_collections = len(
list(
client.get_database(
api_endpoint=api_endpoint, token=token, keyspace=db.info.keyspace
).list_collection_names(keyspace=db.info.keyspace)
)
),
)
except Exception: # noqa: BLE001
num_collections = 0
if db.status != "PENDING":
continue
# Add the database to the dictionary
db_info_dict[db.info.name] = {
"api_endpoint": api_endpoint,
"collections": num_collections,
"status": db.status if db.status != "ACTIVE" else None,
}
except Exception: # noqa: BLE001, S110
pass
@ -364,15 +423,20 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
if not database_name:
return None
# Otherwise, get the URL from the database list
return cls.get_database_list_static(token=token, environment=environment).get(database_name).get("api_endpoint")
# Grab the database object
db = cls.get_database_list_static(token=token, environment=environment).get(database_name)
if not db:
return None
def get_api_endpoint(self, *, api_endpoint: str | None = None):
# Otherwise, get the URL from the database list
return db.get("api_endpoint")
def get_api_endpoint(self):
return self.get_api_endpoint_static(
token=self.token,
environment=self.environment,
api_endpoint=api_endpoint or self.d_api_endpoint,
database_name=self.api_endpoint,
api_endpoint=self.api_endpoint,
database_name=self.database_name,
)
def get_keyspace(self):
@ -388,7 +452,7 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
client = DataAPIClient(token=self.token, environment=self.environment)
return client.get_database(
api_endpoint=self.get_api_endpoint(api_endpoint=api_endpoint),
api_endpoint=api_endpoint or self.get_api_endpoint(),
token=self.token,
keyspace=self.get_keyspace(),
)
@ -415,40 +479,15 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
return None
def get_vectorize_providers(self):
try:
self.log("Dynamically updating list of Vectorize providers.")
# Get the admin object
admin = AstraDBAdmin(token=self.token)
db_admin = admin.get_database_admin(api_endpoint=self.get_api_endpoint())
# Get the list of embedding providers
embedding_providers = db_admin.find_embedding_providers().as_dict()
vectorize_providers_mapping = {}
# Map the provider display name to the provider key and models
for provider_key, provider_data in embedding_providers["embeddingProviders"].items():
display_name = provider_data["displayName"]
models = [model["name"] for model in provider_data["models"]]
# TODO: https://astra.datastax.com/api/v2/graphql
vectorize_providers_mapping[display_name] = [provider_key, models]
# Sort the resulting dictionary
return defaultdict(list, dict(sorted(vectorize_providers_mapping.items())))
except Exception as e: # noqa: BLE001
self.log(f"Error fetching Vectorize providers: {e}")
return {}
def _initialize_database_options(self):
try:
return [
{
"name": name,
"status": info["status"],
"collections": info["collections"],
"api_endpoint": info["api_endpoint"],
"icon": "data",
}
for name, info in self.get_database_list().items()
]
@ -456,7 +495,35 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
msg = f"Error fetching database options: {e}"
raise ValueError(msg) from e
@classmethod
def get_provider_icon(cls, collection: CollectionDescriptor | None = None, provider_name: str | None = None) -> str:
# Get the provider name from the collection
provider_name = provider_name or (
collection.options.vector.service.provider
if collection and collection.options and collection.options.vector and collection.options.vector.service
else None
)
# If there is no provider, use the vector store icon
if not provider_name or provider_name == "bring your own":
return "vectorstores"
# Special case for certain models
# TODO: Add more icons
if provider_name == "nvidia":
return "NVIDIA"
if provider_name == "openai":
return "OpenAI"
# Title case on the provider for the icon if no special case
return provider_name.title()
def _initialize_collection_options(self, api_endpoint: str | None = None):
# Nothing to generate if we don't have an API endpoint yet
api_endpoint = api_endpoint or self.get_api_endpoint()
if not api_endpoint:
return []
# Retrieve the database object
database = self.get_database_object(api_endpoint=api_endpoint)
@ -471,7 +538,7 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
"provider": (
col.options.vector.service.provider if col.options.vector and col.options.vector.service else None
),
"icon": "",
"icon": self.get_provider_icon(collection=col),
"model": (
col.options.vector.service.model_name if col.options.vector and col.options.vector.service else None
),
@ -479,9 +546,53 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
for col in collection_list
]
def reset_provider_options(self, build_config: dict):
# Get the list of vectorize providers
vectorize_providers = self.get_vectorize_providers(
token=self.token,
environment=self.environment,
api_endpoint=build_config["api_endpoint"]["value"],
)
# If the collection is set, allow user to see embedding options
build_config["collection_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"][
"embedding_generation_provider"
]["options"] = ["Bring your own", "Nvidia", *[key for key in vectorize_providers if key != "Nvidia"]]
# For all not Bring your own or Nvidia providers, add metadata saying configure in Astra DB Portal
provider_options = build_config["collection_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"][
"embedding_generation_provider"
]["options"]
# Go over each possible provider and add metadata to configure in Astra DB Portal
for provider in provider_options:
# Skip Bring your own and Nvidia, automatically configured
if provider in ["Bring your own", "Nvidia"]:
build_config["collection_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"][
"embedding_generation_provider"
]["options_metadata"].append({"icon": self.get_provider_icon(provider_name=provider.lower())})
continue
# Add metadata to configure in Astra DB Portal
build_config["collection_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"][
"embedding_generation_provider"
]["options_metadata"].append({" ": "Configure in Astra DB Portal"})
# And allow the user to see the models based on a selected provider
embedding_provider = build_config["collection_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"][
"embedding_generation_provider"
]["value"]
# Set the options for the embedding model based on the provider
build_config["collection_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"][
"embedding_generation_model"
]["options"] = vectorize_providers.get(embedding_provider, [[], []])[1]
return build_config
def reset_collection_list(self, build_config: dict):
# Get the list of options we have based on the token provided
collection_options = self._initialize_collection_options()
collection_options = self._initialize_collection_options(api_endpoint=build_config["api_endpoint"]["value"])
# If we retrieved options based on the token, show the dropdown
build_config["collection_name"]["options"] = [col["name"] for col in collection_options]
@ -490,7 +601,11 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
]
# Reset the selected collection
build_config["collection_name"]["value"] = ""
if build_config["collection_name"]["value"] not in build_config["collection_name"]["options"]:
build_config["collection_name"]["value"] = ""
# If we have a database, collection name should not be advanced
build_config["collection_name"]["advanced"] = not build_config["database_name"]["value"]
return build_config
@ -499,84 +614,171 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
database_options = self._initialize_database_options()
# If we retrieved options based on the token, show the dropdown
build_config["api_endpoint"]["options"] = [db["name"] for db in database_options]
build_config["api_endpoint"]["options_metadata"] = [
build_config["database_name"]["options"] = [db["name"] for db in database_options]
build_config["database_name"]["options_metadata"] = [
{k: v for k, v in db.items() if k not in ["name"]} for db in database_options
]
# Reset the selected database
build_config["api_endpoint"]["value"] = ""
if build_config["database_name"]["value"] not in build_config["database_name"]["options"]:
build_config["database_name"]["value"] = ""
build_config["api_endpoint"]["value"] = ""
build_config["collection_name"]["advanced"] = True
# If we have a token, database name should not be advanced
build_config["database_name"]["advanced"] = not build_config["token"]["value"]
return build_config
def reset_build_config(self, build_config: dict):
# Reset the list of databases we have based on the token provided
build_config["api_endpoint"]["options"] = []
build_config["api_endpoint"]["options_metadata"] = []
build_config["database_name"]["options"] = []
build_config["database_name"]["options_metadata"] = []
build_config["database_name"]["value"] = ""
build_config["database_name"]["advanced"] = True
build_config["api_endpoint"]["value"] = ""
build_config["api_endpoint"]["name"] = "Database"
# Reset the list of collections and metadata associated
build_config["collection_name"]["options"] = []
build_config["collection_name"]["options_metadata"] = []
build_config["collection_name"]["value"] = ""
build_config["collection_name"]["advanced"] = True
return build_config
def update_build_config(self, build_config: dict, field_value: str, field_name: str | None = None):
# When the component first executes, this is the update refresh call
first_run = field_name == "collection_name" and not field_value and not build_config["api_endpoint"]["options"]
async def update_build_config(self, build_config: dict, field_value: str, field_name: str | None = None):
# Callback for database creation
if field_name == "database_name" and isinstance(field_value, dict) and "new_database_name" in field_value:
try:
await self.create_database_api(
new_database_name=field_value["new_database_name"],
token=self.token,
keyspace=self.get_keyspace(),
environment=self.environment,
cloud_provider=field_value["cloud_provider"],
region=field_value["region"],
)
except Exception as e:
msg = f"Error creating database: {e}"
raise ValueError(msg) from e
# If the token has not been provided, simply return
# Add the new database to the list of options
build_config["database_name"]["options"] = build_config["database_name"]["options"] + [
field_value["new_database_name"]
]
build_config["database_name"]["options_metadata"] = build_config["database_name"]["options_metadata"] + [
{"status": "PENDING"}
]
return self.reset_collection_list(build_config)
# This is the callback required to update the list of regions for a cloud provider
if field_name == "database_name" and isinstance(field_value, dict) and "new_database_name" not in field_value:
cloud_provider = field_value["cloud_provider"]
build_config["database_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"]["region"][
"options"
] = self.map_cloud_providers()[cloud_provider]["regions"]
return build_config
# Callback for the creation of collections
if field_name == "collection_name" and isinstance(field_value, dict) and "new_collection_name" in field_value:
try:
# Get the dimension if its a BYO provider
dimension = (
field_value["dimension"]
if field_value["embedding_generation_provider"] == "Bring your own"
else None
)
# Create the collection
await self.create_collection_api(
new_collection_name=field_value["new_collection_name"],
token=self.token,
api_endpoint=build_config["api_endpoint"]["value"],
environment=self.environment,
keyspace=self.get_keyspace(),
dimension=dimension,
embedding_generation_provider=field_value["embedding_generation_provider"],
embedding_generation_model=field_value["embedding_generation_model"],
)
except Exception as e:
msg = f"Error creating collection: {e}"
raise ValueError(msg) from e
# Add the new collection to the list of options
build_config["collection_name"]["value"] = field_value["new_collection_name"]
build_config["collection_name"]["options"].append(field_value["new_collection_name"])
# Get the provider and model for the new collection
generation_provider = field_value["embedding_generation_provider"]
provider = generation_provider if generation_provider != "Bring your own" else None
generation_model = field_value["embedding_generation_model"]
model = generation_model if generation_model else None
# Add the new collection to the list of options
icon = "NVIDIA" if provider == "Nvidia" else "vectorstores"
build_config["collection_name"]["options_metadata"] = build_config["collection_name"][
"options_metadata"
] + [{"records": 0, "provider": provider, "icon": icon, "model": model}]
return build_config
# Callback to update the model list based on the embedding provider
if (
field_name == "collection_name"
and isinstance(field_value, dict)
and "new_collection_name" not in field_value
):
return self.reset_provider_options(build_config)
# When the component first executes, this is the update refresh call
first_run = field_name == "collection_name" and not field_value and not build_config["database_name"]["options"]
# If the token has not been provided, simply return the empty build config
if not self.token:
return self.reset_build_config(build_config)
# If this is the first execution of the component, reset and build database list
if first_run or field_name in ["token", "environment"]:
# Reset the build config to ensure we are starting fresh
build_config = self.reset_build_config(build_config)
build_config = self.reset_database_list(build_config)
# Get list of regions for a given cloud provider
"""
cloud_provider = (
build_config["api_endpoint"]["dialog_inputs"]["fields"]["data"]["node"]["template"]["cloud_provider"][
"value"
]
or "Amazon Web Services"
)
build_config["api_endpoint"]["dialog_inputs"]["fields"]["data"]["node"]["template"]["region"][
"options"
] = self.map_cloud_providers()[cloud_provider]["regions"]
"""
return build_config
return self.reset_database_list(build_config)
# Refresh the collection name options
if field_name == "api_endpoint":
if field_name == "database_name" and not isinstance(field_value, dict):
# If missing, refresh the database options
if not build_config["api_endpoint"]["options"] or not field_value:
return self.update_build_config(build_config, field_value=self.token, field_name="token")
if field_value not in build_config["database_name"]["options"]:
build_config = await self.update_build_config(build_config, field_value=self.token, field_name="token")
build_config["database_name"]["value"] = ""
else:
# Find the position of the selected database to align with metadata
index_of_name = build_config["database_name"]["options"].index(field_value)
# Set the underlying api endpoint value of the database
if field_value in build_config["api_endpoint"]["options"]:
index_of_name = build_config["api_endpoint"]["options"].index(field_value)
build_config["d_api_endpoint"]["value"] = build_config["api_endpoint"]["options_metadata"][
# Initializing database condition
pending = build_config["database_name"]["options_metadata"][index_of_name]["status"] == "PENDING"
if pending:
return self.update_build_config(build_config, field_value=self.token, field_name="token")
# Set the API endpoint based on the selected database
build_config["api_endpoint"]["value"] = build_config["database_name"]["options_metadata"][
index_of_name
]["api_endpoint"]
else:
build_config["d_api_endpoint"]["value"] = ""
# Reset the provider options
build_config = self.reset_provider_options(build_config)
# Reset the list of collections we have based on the token provided
return self.reset_collection_list(build_config)
# Hide embedding model option if opriona_metadata provider is not null
if field_name == "collection_name" and field_value:
if field_name == "collection_name" and not isinstance(field_value, dict):
# Assume we will be autodetecting the collection:
build_config["autodetect_collection"]["value"] = True
# Reload the collection list
build_config = self.reset_collection_list(build_config)
# Set the options for collection name to be the field value if its a new collection
if field_value not in build_config["collection_name"]["options"]:
if field_value and field_value not in build_config["collection_name"]["options"]:
# Add the new collection to the list of options
build_config["collection_name"]["options"].append(field_value)
build_config["collection_name"]["options_metadata"].append(
@ -598,36 +800,8 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
build_config["embedding_model"]["advanced"] = False
build_config["embedding_choice"]["value"] = "Embedding Model"
# For the final step, get the list of vectorize providers
"""
vectorize_providers = self.get_vectorize_providers()
if not vectorize_providers:
return build_config
# Allow the user to see the embedding provider options
provider_options = build_config["collection_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"][
"embedding_generation_provider"
]["options"]
if not provider_options:
# If the collection is set, allow user to see embedding options
build_config["collection_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"][
"embedding_generation_provider"
]["options"] = ["Bring your own", "Nvidia", *[key for key in vectorize_providers if key != "Nvidia"]]
# And allow the user to see the models based on a selected provider
model_options = build_config["collection_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"][
"embedding_generation_model"
]["options"]
if not model_options:
embedding_provider = build_config["collection_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"][
"embedding_generation_provider"
]["value"]
build_config["collection_name"]["dialog_inputs"]["fields"]["data"]["node"]["template"][
"embedding_generation_model"
]["options"] = vectorize_providers.get(embedding_provider, [[], []])[1]
"""
return build_config
@check_cached_vector_store
@ -654,11 +828,11 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
# Get Langflow version and platform information
__version__ = get_version_info()["version"]
langflow_prefix = ""
if os.getenv("AWS_EXECUTION_ENV") == "AWS_ECS_FARGATE": # TODO: More precise way of detecting
langflow_prefix = "ds-"
# if os.getenv("AWS_EXECUTION_ENV") == "AWS_ECS_FARGATE": # TODO: More precise way of detecting
# langflow_prefix = "ds-"
# Get the database object
database = self.get_database_object(api_endpoint=self.d_api_endpoint)
database = self.get_database_object()
autodetect = self.collection_name in database.list_collection_names() and self.autodetect_collection
# Bundle up the auto-detect parameters
@ -714,7 +888,7 @@ class AstraDBVectorStoreComponent(LCVectorStoreComponent):
if documents and self.deletion_field:
self.log(f"Deleting documents where {self.deletion_field}")
try:
database = self.get_database_object(api_endpoint=self.d_api_endpoint)
database = self.get_database_object()
collection = database.get_collection(self.collection_name, keyspace=database.keyspace)
delete_values = list({doc.metadata[self.deletion_field] for doc in documents})
self.log(f"Deleting documents where {self.deletion_field} matches {delete_values}.")

File diff suppressed because one or more lines are too long

View file

@ -8,105 +8,184 @@ import {
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog";
import { usePostTemplateValue } from "@/controllers/API/queries/nodes/use-post-template-value";
import { getCustomParameterTitle } from "@/customization/components/custom-parameter";
import useHandleOnNewValue from "@/CustomNodes/hooks/use-handle-new-value";
import { mutateTemplate } from "@/CustomNodes/helpers/mutate-template";
import useAlertStore from "@/stores/alertStore";
import useFlowStore from "@/stores/flowStore";
import { InputFieldType } from "@/types/api";
import { cloneDeep } from "lodash";
import { APIClassType, InputFieldType } from "@/types/api";
import { useState } from "react";
export const NodeDialog = ({
open,
onClose,
dialogInputs,
nodeId,
}: {
interface NodeDialogProps {
open: boolean;
onClose: () => void;
dialogInputs: any;
nodeId: string;
name: string;
nodeClass: APIClassType;
}
interface ValueObject {
value: string;
}
export const NodeDialog: React.FC<NodeDialogProps> = ({
open,
onClose,
dialogInputs,
nodeId,
name,
nodeClass,
}) => {
const [isLoading, setIsLoading] = useState(false);
const [fieldValues, setFieldValues] = useState<Record<string, string>>({});
const nodes = useFlowStore((state) => state.nodes);
const setNode = useFlowStore((state) => state.setNode);
const setErrorData = useAlertStore((state) => state.setErrorData);
const handleNewValue = (value: string, key: string) => {
let rawValue = value;
const postTemplateValue = usePostTemplateValue({
parameterId: name,
nodeId: nodeId,
node: nodeClass,
});
if (typeof value === "object" && value) {
rawValue = (value as { value: string }).value;
}
const { fields, functionality: submitButtonText } = dialogInputs || {};
const dialogNodeData = fields?.data?.node;
const dialogTemplate = dialogNodeData?.template || {};
const template = cloneDeep(dialogInputs?.fields?.data?.node?.template);
template[key].value = value;
const setNodeClass = (newNode: APIClassType) => {
const targetNode = nodes.find((node) => node.id === nodeId);
if (!targetNode) return;
const newNode = cloneDeep(nodes.find((node) => node.id === nodeId));
if (newNode) {
const template = newNode.data.node.template;
const databaseFields = template.database_name.dialog_inputs.fields;
const nodeTemplate = databaseFields.data.node.template;
nodeTemplate[key].value = rawValue;
}
setNode(nodeId, newNode!);
targetNode.data.node = newNode;
setNode(nodeId, targetNode);
};
const handleErrorData = (newState: {
title: string;
list?: Array<string>;
}) => {
setErrorData(newState);
setIsLoading(false);
};
const updateFieldValue = (value: string | ValueObject, fieldKey: string) => {
const newValue = typeof value === "object" ? value.value : value;
const targetNode = nodes.find((node) => node.id === nodeId);
if (!targetNode || !name) return;
targetNode.data.node.template[name].dialog_inputs.fields.data.node.template[
fieldKey
].value = newValue;
setNode(nodeId, targetNode);
setFieldValues((prev) => ({ ...prev, [fieldKey]: newValue }));
if (dialogTemplate[fieldKey].real_time_refresh) {
mutateTemplate(
{ [fieldKey]: newValue },
nodeClass,
setNodeClass,
postTemplateValue,
handleErrorData,
name,
);
}
};
const handleCloseDialog = () => {
setFieldValues({});
const targetNode = nodes.find((node) => node.id === nodeId);
if (targetNode && name) {
const nodeTemplate = targetNode.data.node.template;
Object.keys(dialogTemplate).forEach((key) => {
nodeTemplate[name].dialog_inputs.fields.data.node.template[key].value =
"";
});
setNode(nodeId, targetNode);
}
setIsLoading(false);
onClose();
};
const handleSubmitDialog = async () => {
setIsLoading(true);
await mutateTemplate(
fieldValues,
nodeClass,
setNodeClass,
postTemplateValue,
handleErrorData,
name,
handleCloseDialog,
nodeClass.tool_mode,
);
setTimeout(() => {
handleCloseDialog();
}, 5000);
};
// Render
return (
<Dialog open={open} onOpenChange={onClose}>
<Dialog open={open} onOpenChange={handleCloseDialog}>
<DialogContent className="max-w-[700px] gap-2 px-1 py-6">
<DialogHeader className="px-5 pb-3">
<DialogTitle>
<div className="flex items-center">
<span className="pb-2">
{dialogInputs.fields?.data?.node?.display_name}
</span>
<span className="pb-2">{dialogNodeData?.display_name}</span>
</div>
</DialogTitle>
<DialogDescription>
<div className="flex items-center gap-2">
{dialogInputs.fields?.data?.node?.description}
{dialogNodeData?.description}
</div>
</DialogDescription>
</DialogHeader>
<div className="flex flex-col gap-5 overflow-y-auto px-5">
{Object.entries(dialogInputs?.fields?.data?.node?.template ?? {}).map(
([key, value]) => (
<div key={key}>
<div>
{getCustomParameterTitle({
title:
dialogInputs?.fields?.data?.node?.template[key]
.display_name ?? "",
nodeId,
isFlexView: false,
})}
</div>
<ParameterRenderComponent
handleOnNewValue={(value: string) =>
handleNewValue(value, key)
}
name={key}
nodeId={nodeId}
templateData={value as Partial<InputFieldType>}
templateValue={
dialogInputs?.fields?.data?.node?.template[key].value
}
editNode={false}
handleNodeClass={() => {}}
nodeClass={dialogInputs.fields?.data?.node}
disabled={false}
placeholder=""
isToolMode={false}
/>
{Object.entries(dialogTemplate).map(([fieldKey, fieldValue]) => (
<div key={fieldKey}>
<div>
{getCustomParameterTitle({
title:
(fieldValue as { display_name: string })?.display_name ??
"",
nodeId,
isFlexView: false,
})}
</div>
),
)}
<ParameterRenderComponent
handleOnNewValue={(value: string) =>
updateFieldValue(value, fieldKey)
}
name={fieldKey}
nodeId={nodeId}
templateData={fieldValue as Partial<InputFieldType>}
templateValue={fieldValues[fieldKey] || ""}
editNode={false}
handleNodeClass={() => {}}
nodeClass={dialogNodeData}
disabled={false}
placeholder=""
isToolMode={false}
/>
</div>
))}
</div>
<DialogFooter className="px-5 pt-3">
<Button variant="outline" onClick={onClose}>
<Button variant="secondary" onClick={handleCloseDialog}>
Cancel
</Button>
<Button>{dialogInputs.functionality}</Button>
<Button
variant="default"
onClick={handleSubmitDialog}
loading={isLoading}
>
{submitButtonText}
</Button>
</DialogFooter>
</DialogContent>
</Dialog>

View file

@ -0,0 +1,21 @@
import ForwardedIconComponent from "../genericIconComponent";
const FetchIconComponent = ({
source,
name,
}: {
source: string;
name: string;
}) => {
return (
<div>
{source ? (
<img src={source} alt={name} />
) : (
<ForwardedIconComponent name="Unknown" />
)}
</div>
);
};
export default FetchIconComponent;

View file

@ -0,0 +1,23 @@
import { useEffect, useState } from "react";
const LoadingTextComponent = ({ text }: { text: string }) => {
const [dots, setDots] = useState(".");
useEffect(() => {
const interval = setInterval(() => {
setDots((prevDots) => (prevDots === "..." ? "" : `${prevDots}.`));
}, 300);
return () => {
clearInterval(interval);
};
}, []);
if (!text) {
return null;
}
return <span>{`${text}${dots}`}</span>;
};
export default LoadingTextComponent;

View file

@ -1,7 +1,9 @@
import LoadingTextComponent from "@/components/common/loadingTextComponent";
import { usePostTemplateValue } from "@/controllers/API/queries/nodes/use-post-template-value";
import NodeDialog from "@/CustomNodes/GenericNode/components/NodeDialogComponent";
import { mutateTemplate } from "@/CustomNodes/helpers/mutate-template";
import useAlertStore from "@/stores/alertStore";
import { getStatusColor } from "@/utils/stringManipulation";
import { PopoverAnchor } from "@radix-ui/react-popover";
import Fuse from "fuse.js";
import { cloneDeep } from "lodash";
@ -13,7 +15,6 @@ import ShadTooltip from "../../common/shadTooltipComponent";
import { Button } from "../../ui/button";
import {
Command,
CommandEmpty,
CommandGroup,
CommandItem,
CommandList,
@ -42,25 +43,41 @@ export default function Dropdown({
dialogInputs,
...baseInputProps
}: BaseInputProps & DropDownComponent): JSX.Element {
const nodeId = baseInputProps?.nodeId;
// Initialize state and refs
const [open, setOpen] = useState(children ? true : false);
const [openDialog, setOpenDialog] = useState(false);
const [customValue, setCustomValue] = useState("");
const [filteredOptions, setFilteredOptions] = useState(options);
const [refreshOptions, setRefreshOptions] = useState(false);
const refButton = useRef<HTMLButtonElement>(null);
// Initialize utilities and constants
const placeholderName = name
? formatPlaceholderName(name)
: "Choose an option...";
const { firstWord } = formatName(name);
const [open, setOpen] = useState(children ? true : false);
const [openDialog, setOpenDialog] = useState(false);
const refButton = useRef<HTMLButtonElement>(null);
const fuse = new Fuse(options, { keys: ["name", "value"] });
const PopoverContentDropdown =
children || editNode ? PopoverContent : PopoverContentWithoutPortal;
const { nodeClass, nodeId, handleNodeClass, tooltip } = baseInputProps;
const [customValue, setCustomValue] = useState("");
const [filteredOptions, setFilteredOptions] = useState(options);
// API and store hooks
const postTemplateValue = usePostTemplateValue({
parameterId: name || "",
nodeId: nodeId || "",
node: nodeClass!,
});
const setErrorData = useAlertStore((state) => state.setErrorData);
const fuse = new Fuse(options, { keys: ["name", "value"] });
// Utility functions
const filterMetadataKeys = (
metadata: Record<string, any> = {},
excludeKeys: string[] = ["api_endpoint", "icon", "status"],
) => {
return Object.fromEntries(
Object.entries(metadata).filter(([key]) => !excludeKeys.includes(key)),
);
};
const searchRoleByTerm = async (event: ChangeEvent<HTMLInputElement>) => {
const value = event.target.value;
@ -71,28 +88,43 @@ export default function Dropdown({
setCustomValue(value);
};
const { nodeClass, handleNodeClass } = baseInputProps;
const handleRefreshButtonPress = async () => {
setRefreshOptions(true);
setOpen(false);
const postTemplateValue = usePostTemplateValue({
parameterId: name || "",
nodeId: id,
node: nodeClass!,
});
const { isPending } = postTemplateValue;
const setErrorData = useAlertStore((state) => state.setErrorData);
const handleRefreshButtonPress = () => {
mutateTemplate(
await mutateTemplate(
value,
nodeClass!,
handleNodeClass,
postTemplateValue,
setErrorData,
);
)?.then(() => {
setTimeout(() => {
setRefreshOptions(false);
}, 2000);
});
};
const formatTooltipContent = (option: string, index: number) => {
if (!optionsMetaData?.[index]) return option;
const metadata = optionsMetaData[index];
const metadataEntries = Object.entries(metadata)
.filter(([key, value]) => value !== null && key !== "icon")
.map(([key, value]) => {
const displayValue =
typeof value === "string" && value.length > 20
? `${value.substring(0, 30)}...`
: String(value);
return `${key}: ${displayValue}`;
});
return metadataEntries.length > 0
? `${firstWord}: ${option}\n${metadataEntries.join("\n")}`
: option;
};
// Effects
useEffect(() => {
if (disabled && value !== "") {
onSelect("", undefined, true);
@ -109,61 +141,71 @@ export default function Dropdown({
}
}, [open]);
// Render helper functions
const renderLoadingButton = () => (
<Button
className="dropdown-component-false-outline w-full justify-between py-2 font-normal"
variant="primary"
size="xs"
>
<LoadingTextComponent text="Loading options" />
</Button>
);
const renderTriggerButton = () => (
<PopoverTrigger asChild>
<Button
disabled={
disabled ||
(Object.keys(options).length === 0 &&
!combobox &&
!dialogInputs?.fields?.data?.node?.template)
}
variant="primary"
size="xs"
role="combobox"
ref={refButton}
aria-expanded={open}
data-testid={id}
className={cn(
editNode
? "dropdown-component-outline input-edit-node"
: "dropdown-component-false-outline py-2",
"w-full justify-between font-normal",
)}
>
<span
className="flex items-center gap-2 truncate"
data-testid={`value-dropdown-${id}`}
>
{optionsMetaData?.[
filteredOptions.findIndex((option) => option === value)
]?.icon && (
<ForwardedIconComponent
name={
optionsMetaData[
filteredOptions.findIndex((option) => option === value)
].icon
}
className="h-4 w-4"
/>
)}
{value &&
value !== "" &&
filteredOptions.find((option) => option === value)
? filteredOptions.find((option) => option === value)
: placeholderName}
</span>
<ForwardedIconComponent
name="ChevronsUpDown"
<ShadTooltip content={!value ? (tooltip as string) : ""}>
<PopoverTrigger asChild>
<Button
disabled={
disabled ||
(Object.keys(options).length === 0 &&
!combobox &&
!dialogInputs?.fields?.data?.node?.template)
}
variant="primary"
size="xs"
role="combobox"
ref={refButton}
aria-expanded={open}
data-testid={id}
className={cn(
"ml-2 h-4 w-4 shrink-0 text-foreground",
disabled
? "hover:text-placeholder-foreground"
: "hover:text-foreground",
editNode
? "dropdown-component-outline input-edit-node"
: "dropdown-component-false-outline py-2",
"w-full justify-between font-normal",
)}
/>
</Button>
</PopoverTrigger>
>
<span
className="flex items-center gap-2 truncate"
data-testid={`value-dropdown-${id}`}
>
{optionsMetaData?.[
filteredOptions.findIndex((option) => option === value)
]?.icon && (
<ForwardedIconComponent
name={
optionsMetaData?.[
filteredOptions.findIndex((option) => option === value)
]?.icon
}
className="h-4 w-4"
/>
)}
{value && filteredOptions.includes(value) ? value : placeholderName}{" "}
</span>
<ForwardedIconComponent
name="ChevronsUpDown"
className={cn(
"ml-2 h-4 w-4 shrink-0 text-foreground",
disabled
? "hover:text-placeholder-foreground"
: "hover:text-foreground",
)}
/>
</Button>
</PopoverTrigger>
</ShadTooltip>
);
const renderSearchInput = () => (
@ -211,10 +253,7 @@ export default function Dropdown({
<div className="flex items-center gap-2 pl-1">
<ForwardedIconComponent
name="RefreshCcw"
className={cn(
"h-3 w-3 text-primary",
isPending && "animate-spin",
)}
className={cn("refresh-icon h-3 w-3 text-primary")}
/>
Refresh list
</div>
@ -223,87 +262,118 @@ export default function Dropdown({
<NodeDialog
open={openDialog}
dialogInputs={dialogInputs}
onClose={() => setOpenDialog(false)}
onClose={() => {
setOpenDialog(false);
setOpen(false);
}}
nodeId={nodeId!}
name={name!}
nodeClass={nodeClass!}
/>
</CommandGroup>
);
const renderOptionsList = () => (
<CommandList>
<CommandEmpty>No values found.</CommandEmpty>
<CommandGroup defaultChecked={false}>
{filteredOptions?.map((option, index) => (
<ShadTooltip key={index} delayDuration={700} content={option}>
<div>
<CommandItem
value={option}
onSelect={(currentValue) => {
onSelect(currentValue);
setOpen(false);
}}
className="items-center"
data-testid={`${option}-${index}-option`}
>
<div className="flex w-full items-center gap-2">
{optionsMetaData?.[index]?.icon ? (
<ForwardedIconComponent
name={optionsMetaData?.[index]?.icon}
className="h-4 w-4 shrink-0 text-primary"
/>
) : null}
<div
className={cn("flex truncate", {
"flex-col":
optionsMetaData && optionsMetaData?.length > 0,
"w-full pl-2": !optionsMetaData?.[index]?.icon,
})}
>
<div className="flex truncate">{option}</div>
{optionsMetaData && optionsMetaData?.length > 0 ? (
<div className="flex w-full items-center text-muted-foreground">
{Object.entries(optionsMetaData?.[index] || {})
.filter(
([key, value]) => value !== null && key !== "icon",
{filteredOptions?.length > 0 ? (
filteredOptions?.map((option, index) => (
<ShadTooltip
key={index}
delayDuration={700}
styleClasses="whitespace-pre-wrap"
content={formatTooltipContent(option, index)}
>
<div>
<CommandItem
value={option}
onSelect={(currentValue) => {
onSelect(currentValue);
setOpen(false);
}}
className="items-center"
data-testid={`${option}-${index}-option`}
>
<div className="flex w-full items-center gap-2">
{optionsMetaData && optionsMetaData.length > 0 && (
<ForwardedIconComponent
name={optionsMetaData?.[index]?.icon || "Unknown"}
className="h-4 w-4 shrink-0 text-primary"
/>
)}
<div
className={cn("flex truncate", {
"flex-col":
optionsMetaData && optionsMetaData?.length > 0,
"w-full pl-2": !optionsMetaData?.[index]?.icon,
})}
>
<div className="flex truncate">
{option}{" "}
<span
className={`flex items-center pl-2 text-xs ${getStatusColor(
optionsMetaData?.[index]?.status,
)}`}
>
<LoadingTextComponent
text={optionsMetaData?.[
index
]?.status?.toLowerCase()}
/>
</span>
</div>
{optionsMetaData && optionsMetaData?.length > 0 ? (
<div className="flex w-full items-center text-muted-foreground">
{Object.entries(
filterMetadataKeys(optionsMetaData?.[index] || {}),
)
.map(([key, value], i, arr) => (
<div
key={key}
className={cn("flex items-center", {
truncate: i === arr.length - 1,
})}
>
{i > 0 && (
<ForwardedIconComponent
name="Circle"
className="mx-1 h-1 w-1 overflow-visible fill-muted-foreground"
/>
)}
.filter(
([key, value]) =>
value !== null && key !== "icon",
)
.map(([key, value], i, arr) => (
<div
className={cn("text-xs", {
key={key}
className={cn("flex items-center", {
truncate: i === arr.length - 1,
})}
>{`${String(value)} ${key}`}</div>
</div>
))}
</div>
) : (
<div className="ml-auto flex">
<ForwardedIconComponent
name="Check"
className={cn(
"h-4 w-4 shrink-0 text-primary",
value === option ? "opacity-100" : "opacity-0",
)}
/>
</div>
)}
>
{i > 0 && (
<ForwardedIconComponent
name="Circle"
className="mx-1 h-1 w-1 overflow-visible fill-muted-foreground"
/>
)}
<div
className={cn("text-xs", {
truncate: i === arr.length - 1,
})}
>{`${String(value)} ${key}`}</div>
</div>
))}
</div>
) : (
<div className="ml-auto flex">
<ForwardedIconComponent
name="Check"
className={cn(
"h-4 w-4 shrink-0 text-primary",
value === option ? "opacity-100" : "opacity-0",
)}
/>
</div>
)}
</div>
</div>
</div>
</CommandItem>
</div>
</ShadTooltip>
))}
</CommandItem>
</div>
</ShadTooltip>
))
) : (
<CommandItem disabled className="text-center text-sm">
No options found
</CommandItem>
)}
</CommandGroup>
<CommandSeparator />
{dialogInputs && dialogInputs?.fields && renderCustomOptionDialog()}
@ -320,12 +390,13 @@ export default function Dropdown({
}
>
<Command>
{renderSearchInput()}
{filteredOptions?.length > 0 && renderSearchInput()}
{renderOptionsList()}
</Command>
</PopoverContentDropdown>
);
// Loading state
if (Object.keys(options).length === 0 && !combobox && isLoading) {
return (
<div>
@ -334,10 +405,13 @@ export default function Dropdown({
);
}
// Main render
return (
<Popover open={open} onOpenChange={children ? () => {} : setOpen}>
{children ? (
<PopoverAnchor>{children}</PopoverAnchor>
) : refreshOptions || isLoading ? (
renderLoadingButton()
) : (
renderTriggerButton()
)}

View file

@ -15,6 +15,7 @@ export type BaseInputProps<valueType = any> = {
readonly?: boolean;
placeholder?: string;
isToolMode?: boolean;
tooltip?: string;
metadata?: any;
nodeId?: string;
};

View file

@ -196,6 +196,8 @@
--placeholder-foreground: 240 4% 46%; /* hsl(240, 4%, 46%) */
--canvas: 0 0% 0%; /* hsl(0, 0%, 0%) */
--canvas-dot: 240 5.3% 26.1%; /* hsl(240, 5.3%, 26.1%) */
--accent-amber: 26 90% 37%; /* hsl(26, 90%, 37%) */
--accent-amber-foreground: 26 90% 37%; /* hsl(26, 90%, 37%) */
--accent-emerald: 164 86% 16%; /* hsl(164, 86%, 16%) */
--accent-emerald-foreground: 158 64% 52%; /* hsl(158, 64%, 52%) */
--accent-emerald-hover: 163.1 88.1% 19.8%; /* hsl(163.1, 88.1%, 19.8%) */

View file

@ -113,3 +113,24 @@ export function parseString(
return result;
}
export const getStatusColor = (status: string): string => {
const amberStatuses = [
"initializing",
"pending",
"hibernating",
"hiberated",
"maintenance",
"parked",
];
if (amberStatuses.includes(status?.toLowerCase())) {
return "text-accent-amber-foreground";
}
if (status?.toLowerCase() === "terminating") {
return "red-500";
}
return "";
};

View file

@ -741,7 +741,7 @@ export const formatName = (name) => {
.join(" ");
const firstWord =
formattedName.split(" ")[0].charAt(0).toUpperCase() +
formattedName.split(" ")[0].charAt(0) +
formattedName.split(" ")[0].slice(1);
return { formattedName, firstWord };

View file

@ -175,6 +175,10 @@ const config = {
DEFAULT: "hsl(var(--accent))",
foreground: "hsl(var(--accent-foreground))",
},
"accent-amber": {
DEFAULT: "hsl(var(--accent-amber))",
foreground: "hsl(var(--accent-amber-foreground))",
},
"accent-emerald": {
DEFAULT: "hsl(var(--accent-emerald))",
foreground: "hsl(var(--accent-emerald-foreground))",