Files
embedding-buddy/src/embeddingbuddy/ui/components/datasource.py
Austin Godber 9cf2f0e6fa this will load data from Opensearch.
it doesn't have prompts as well
2025-08-14 13:49:46 -07:00

321 lines
14 KiB
Python

from dash import dcc, html
import dash_bootstrap_components as dbc
from .upload import UploadComponent
class DataSourceComponent:
def __init__(self):
self.upload_component = UploadComponent()
def create_tabbed_interface(self):
"""Create tabbed interface for different data sources."""
return dbc.Card(
[
dbc.CardHeader(
[
dbc.Tabs(
[
dbc.Tab(label="File Upload", tab_id="file-tab"),
dbc.Tab(label="OpenSearch", tab_id="opensearch-tab"),
],
id="data-source-tabs",
active_tab="file-tab",
)
]
),
dbc.CardBody([html.Div(id="tab-content")]),
]
)
def create_file_upload_tab(self):
"""Create file upload tab content."""
return html.Div(
[
self.upload_component.create_error_alert(),
self.upload_component.create_data_upload(),
self.upload_component.create_prompts_upload(),
self.upload_component.create_reset_button(),
]
)
def create_opensearch_tab(self):
"""Create OpenSearch tab content."""
return html.Div(
[
# Connection section
html.H6("Connection", className="mb-2"),
dbc.Row(
[
dbc.Col(
[
dbc.Label("OpenSearch URL:"),
dbc.Input(
id="opensearch-url",
type="text",
placeholder="https://opensearch.example.com:9200",
className="mb-2",
),
],
width=12,
),
]
),
dbc.Row(
[
dbc.Col(
[
dbc.Label("Index Name:"),
dbc.Input(
id="opensearch-index",
type="text",
placeholder="my-embeddings-index",
className="mb-2",
),
],
width=6,
),
dbc.Col(
[
dbc.Button(
"Test Connection",
id="test-connection-btn",
color="primary",
size="sm",
className="mt-4",
),
],
width=6,
className="d-flex align-items-end",
),
]
),
# Authentication section (collapsible)
dbc.Collapse(
[
html.Hr(),
html.H6("Authentication (Optional)", className="mb-2"),
dbc.Row(
[
dbc.Col(
[
dbc.Label("Username:"),
dbc.Input(
id="opensearch-username",
type="text",
className="mb-2",
),
],
width=6,
),
dbc.Col(
[
dbc.Label("Password:"),
dbc.Input(
id="opensearch-password",
type="password",
className="mb-2",
),
],
width=6,
),
]
),
dbc.Label("OR"),
dbc.Input(
id="opensearch-api-key",
type="text",
placeholder="API Key",
className="mb-2",
),
],
id="auth-collapse",
is_open=False,
),
dbc.Button(
"Show Authentication",
id="auth-toggle",
color="link",
size="sm",
className="p-0 mb-3",
),
# Connection status
html.Div(id="connection-status", className="mb-3"),
# Field mapping section (hidden initially)
html.Div(id="field-mapping-section", style={"display": "none"}),
# Hidden dropdowns to prevent callback errors
html.Div([
dcc.Dropdown(id="embedding-field-dropdown", style={"display": "none"}),
dcc.Dropdown(id="text-field-dropdown", style={"display": "none"}),
dcc.Dropdown(id="id-field-dropdown", style={"display": "none"}),
dcc.Dropdown(id="category-field-dropdown", style={"display": "none"}),
dcc.Dropdown(id="subcategory-field-dropdown", style={"display": "none"}),
dcc.Dropdown(id="tags-field-dropdown", style={"display": "none"}),
], style={"display": "none"}),
# Load data button (hidden initially)
html.Div(
[
dbc.Button(
"Load Data",
id="load-opensearch-data-btn",
color="success",
className="mb-2",
disabled=True,
),
],
id="load-data-section",
style={"display": "none"},
),
# OpenSearch status/results
html.Div(id="opensearch-status", className="mb-3"),
]
)
def create_field_mapping_interface(self, field_suggestions):
"""Create field mapping interface based on detected fields."""
return html.Div(
[
html.Hr(),
html.H6("Field Mapping", className="mb-2"),
html.P(
"Map your OpenSearch fields to the required format:",
className="text-muted small",
),
# Required fields
dbc.Row(
[
dbc.Col(
[
dbc.Label(
"Embedding Field (required):", className="fw-bold"
),
dcc.Dropdown(
id="embedding-field-dropdown-ui",
options=[
{"label": field, "value": field}
for field in field_suggestions.get("embedding", [])
],
value=field_suggestions.get("embedding", [None])[0], # Default to first suggestion
placeholder="Select embedding field...",
className="mb-2",
),
],
width=6,
),
dbc.Col(
[
dbc.Label(
"Text Field (required):", className="fw-bold"
),
dcc.Dropdown(
id="text-field-dropdown-ui",
options=[
{"label": field, "value": field}
for field in field_suggestions.get("text", [])
],
value=field_suggestions.get("text", [None])[0], # Default to first suggestion
placeholder="Select text field...",
className="mb-2",
),
],
width=6,
),
]
),
# Optional fields
html.H6("Optional Fields", className="mb-2 mt-3"),
dbc.Row(
[
dbc.Col(
[
dbc.Label("ID Field:"),
dcc.Dropdown(
id="id-field-dropdown-ui",
options=[
{"label": field, "value": field}
for field in field_suggestions.get("id", [])
],
value=field_suggestions.get("id", [None])[0], # Default to first suggestion
placeholder="Select ID field...",
className="mb-2",
),
],
width=6,
),
dbc.Col(
[
dbc.Label("Category Field:"),
dcc.Dropdown(
id="category-field-dropdown-ui",
options=[
{"label": field, "value": field}
for field in field_suggestions.get("category", [])
],
value=field_suggestions.get("category", [None])[0], # Default to first suggestion
placeholder="Select category field...",
className="mb-2",
),
],
width=6,
),
]
),
dbc.Row(
[
dbc.Col(
[
dbc.Label("Subcategory Field:"),
dcc.Dropdown(
id="subcategory-field-dropdown-ui",
options=[
{"label": field, "value": field}
for field in field_suggestions.get("subcategory", [])
],
value=field_suggestions.get("subcategory", [None])[0], # Default to first suggestion
placeholder="Select subcategory field...",
className="mb-2",
),
],
width=6,
),
dbc.Col(
[
dbc.Label("Tags Field:"),
dcc.Dropdown(
id="tags-field-dropdown-ui",
options=[
{"label": field, "value": field}
for field in field_suggestions.get("tags", [])
],
value=field_suggestions.get("tags", [None])[0], # Default to first suggestion
placeholder="Select tags field...",
className="mb-2",
),
],
width=6,
),
]
),
]
)
def create_error_alert(self):
"""Create error alert component for OpenSearch issues."""
return dbc.Alert(
id="opensearch-error-alert",
dismissable=True,
is_open=False,
color="danger",
className="mb-3",
)
def create_success_alert(self):
"""Create success alert component for OpenSearch operations."""
return dbc.Alert(
id="opensearch-success-alert",
dismissable=True,
is_open=False,
color="success",
className="mb-3",
)