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Found 45 matching component(s)

  • class MetadataCatalog

    Helper class to manage FileCloud metadata sets and attributes. This class provides methods to work with FileCloud metadata by providing a more user-friendly interface on top of the raw API.

    File: /tf/active/vicechatdev/metadata_catalog.py

    class metadatacatalog

  • class FileCloudAPI

    Python wrapper for the FileCloud REST API. This class provides methods to interact with FileCloud server APIs, handling authentication, session management, and various file operations.

    File: /tf/active/vicechatdev/FC_api copy.py

    class filecloudapi

  • class FileCloudAPI_v1

    Python wrapper for the FileCloud REST API. This class provides methods to interact with FileCloud server APIs, handling authentication, session management, and various file operations.

    File: /tf/active/vicechatdev/FC_api.py

    class filecloudapi

  • class DocumentDetail_v1

    Document detail view component

    File: /tf/active/vicechatdev/document_detail_old.py

    class documentdetail

  • class FileCloudClient

    A client class for interacting with FileCloud server API, providing authentication, file management, folder creation, and file upload capabilities.

    File: /tf/active/vicechatdev/SPFCsync/filecloud_client.py

    filecloud file-management cloud-storage api-client file-upload

  • function api_create_section

    Flask API endpoint that creates a new section within a specified document, handling section positioning, type, level, title, and content with proper authentication and authorization checks.

    File: /tf/active/vicechatdev/vice_ai/complex_app.py

    api flask rest-endpoint document-management section-creation

  • function clean_nan_for_json

    Recursively traverses nested data structures (dicts, lists) and converts NaN, null, and invalid numeric values to None for safe JSON serialization.

    File: /tf/active/vicechatdev/vice_ai/data_analysis_service.py

    json-serialization data-cleaning nan-handling recursive data-preprocessing

  • class DatabaseManager_v1

    SQLite database manager for persistent storage

    File: /tf/active/vicechatdev/vice_ai/models.py

    class databasemanager

  • class DatabaseManager_v1

    Database manager for SmartStat following vice_ai patterns

    File: /tf/active/vicechatdev/vice_ai/smartstat_models.py

    class databasemanager

  • function clean_for_json_v14

    Recursively sanitizes Python objects to make them JSON-serializable by converting NumPy types to native Python types and handling NaN/Inf values.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/42b81361-ba7e-4d79-9598-3090af68384b/analysis_2.py

    json serialization numpy data-conversion type-conversion

  • function clean_for_json_v4

    Recursively traverses nested data structures (dicts, lists, arrays) and converts NaN and Inf float values to None for safe JSON serialization, while also converting NumPy types to native Python types.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/7372154d-807e-4723-a769-4668761944b5/analysis_2.py

    json serialization data-cleaning numpy nan-handling

  • function clean_for_json_v5

    Recursively traverses nested data structures (dictionaries, lists) and sanitizes numeric values by converting NaN and Inf to None, and normalizing NumPy numeric types to native Python types for JSON serialization.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/e4e8cb00-c17d-4282-aa80-5af67f32952f/analysis_1.py

    data-cleaning json-serialization numpy data-preprocessing nan-handling

  • function clean_for_json_v1

    Recursively sanitizes nested data structures (dictionaries, lists, tuples) by converting NaN and Inf values to None and normalizing NumPy types to native Python types for JSON serialization.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/e4e8cb00-c17d-4282-aa80-5af67f32952f/project_1/analysis.py

    json serialization data-cleaning numpy nan-handling

  • function clean_for_json_v10

    Recursively converts Python objects containing NumPy and Pandas data types into JSON-serializable native Python types.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/c385e1f5-fbf6-4832-8fd4-78ef8b72fc53/project_1/analysis.py

    json serialization data-conversion numpy pandas

  • function clean_for_json_v13

    Recursively sanitizes Python objects to make them JSON-serializable by converting NumPy types to native Python types and handling NaN/Inf values.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/d48d7789-9627-4e96-9f48-f90b687cd07d/analysis_1.py

    json serialization numpy data-cleaning type-conversion

  • function clean_for_json_v3

    Recursively converts Python objects (including NumPy and Pandas types) into JSON-serializable formats by handling special numeric types, NaN/Inf values, and nested data structures.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/f0a78968-1d2b-4fbe-a0c6-a372da2ce2a4/project_1/analysis.py

    json serialization data-conversion numpy pandas

  • function clean_for_json_v6

    Recursively traverses nested data structures (dicts, lists) and sanitizes floating-point values by replacing NaN and Inf with None, while also converting NumPy numeric types to native Python types.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/d1e252f5-950c-4ad7-b425-86b4b02c3c62/analysis_4.py

    json serialization data-cleaning numpy nan-handling

  • function clean_for_json_v7

    Recursively traverses and sanitizes data structures (dicts, lists, numpy types) to ensure JSON serialization compatibility by converting numpy types to native Python types and handling NaN/Inf values.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/d1e252f5-950c-4ad7-b425-86b4b02c3c62/analysis_1.py

    json serialization data-cleaning numpy pandas

  • function clean_for_json_v8

    Recursively traverses and converts a nested data structure (dicts, lists, numpy types, pandas NaN) into JSON-serializable Python primitives.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/d1e252f5-950c-4ad7-b425-86b4b02c3c62/analysis_5.py

    json serialization data-cleaning numpy pandas

  • function clean_for_json_v2

    Recursively traverses nested data structures (dicts, lists) and sanitizes numeric values by converting NaN and Inf to None, and numpy types to native Python types for JSON serialization.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/e9b7c942-87b5-4a6f-865e-e7a0d62fb0a1/analysis_2.py

    json serialization data-cleaning numpy nan-handling

  • function clean_for_json_v15

    Recursively sanitizes Python objects to make them JSON-serializable by converting NumPy types to native Python types and handling NaN/Inf float values.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/290a39ea-3ae0-4301-8e2f-9d5c3bf80e6e/analysis_3.py

    json serialization data-cleaning numpy type-conversion

  • function clean_for_json_v12

    Recursively sanitizes Python objects to make them JSON-serializable by converting non-serializable types (NumPy types, pandas objects, tuples, NaN/Inf values) into JSON-compatible formats.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/290a39ea-3ae0-4301-8e2f-9d5c3bf80e6e/project_3/analysis.py

    json serialization data-cleaning numpy pandas

  • function clean_for_json

    Recursively traverses and sanitizes Python data structures (dicts, lists, tuples, numpy arrays) to ensure all values are JSON-serializable by converting numpy types, handling NaN/Inf values, and normalizing data types.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/f0b81d95-24d9-418a-8d9f-1b241684e64c/project_1/analysis.py

    json serialization data-cleaning numpy pandas

  • class ApprovalCycle_v1

    Model representing a approval cycle for a document version.

    File: /tf/active/vicechatdev/CDocs/models/approval.py

    class approvalcycle

  • class ReviewCycle

    Model representing a review cycle for a document version.

    File: /tf/active/vicechatdev/CDocs/models/review.py

    class reviewcycle

  • function get_next_document_number

    Atomically retrieves and increments the next sequential document number for a specific document type and department combination from a Neo4j graph database.

    File: /tf/active/vicechatdev/CDocs/db/db_operations.py

    document-management counter sequential-numbering neo4j graph-database

  • class TrainingManagement

    UI component for managing document training.

    File: /tf/active/vicechatdev/CDocs/ui/training_management.py

    class trainingmanagement

  • class SharePermissionIndicator

    A Panel-based visual indicator component that displays document sharing permissions, showing whether a user has write access or read-only access to a document with color-coded status indicators.

    File: /tf/active/vicechatdev/CDocs/ui/components/share_manager.py

    panel ui-component permissions access-control document-management

  • function get_database_tables_columns

    Flask route handler that retrieves database schema information including tables, columns, and relationships, filtered and sorted by relevance for data analysis workflows.

    File: /tf/active/vicechatdev/full_smartstat/app.py

    flask database schema metadata api-endpoint

  • class DataProcessor

    Handles data loading, validation, and preprocessing

    File: /tf/active/vicechatdev/full_smartstat/data_processor.py

    class dataprocessor

  • class DatabaseManager

    SQLite database manager for SmartStat application that handles persistence of statistical analysis sessions, steps, and results.

    File: /tf/active/vicechatdev/smartstat/models.py

    database sqlite persistence orm statistical-analysis

  • function _int_to_bytes

    Converts a signed integer to its little-endian byte representation, automatically determining the minimum number of bytes needed based on the integer's bit length.

    File: /tf/active/vicechatdev/patches/util.py

    serialization bytes integer-conversion little-endian binary

  • class periodic

    A threading class that executes a callback function periodically at specified intervals, with optional count limits and timeout controls.

    File: /tf/active/vicechatdev/patches/util.py

    threading periodic-execution scheduling timer callback

  • function isnat

    Checks if a value is NaT (Not-a-Time), a special marker for missing or invalid datetime/timedelta values in NumPy and pandas.

    File: /tf/active/vicechatdev/patches/util.py

    datetime timedelta NaT missing-values temporal-data

  • function int_to_alpha

    Converts a non-negative integer to an Excel-style alphabetic column label (A, B, C, ..., Z, AA, AB, ..., ZZ, AAA, etc.).

    File: /tf/active/vicechatdev/patches/util.py

    string-conversion alphabetic-labels excel-columns base-26 spreadsheet

  • function int_to_roman

    Converts an integer between 1 and 3999 to its Roman numeral string representation.

    File: /tf/active/vicechatdev/patches/util.py

    conversion roman-numerals integer string-formatting mathematical

  • function is_int

    Checks if an object is an integer type, supporting native Python integers, NumPy integer types, and optionally float types with integer values.

    File: /tf/active/vicechatdev/patches/util.py

    type-checking validation integer numpy dtype

  • function parse_datetime_v1

    Converts various date representations (string, integer, pandas Timestamp) into a numpy datetime64 object using pandas datetime parsing capabilities.

    File: /tf/active/vicechatdev/patches/util.py

    datetime date-parsing pandas numpy datetime64

  • function dt_to_int

    Converts various datetime types (pandas, numpy, cftime, Python datetime) to an integer timestamp with a specified time unit.

    File: /tf/active/vicechatdev/patches/util.py

    datetime timestamp conversion time-series pandas

  • function numpy_scalar_to_python

    Converts NumPy scalar types to their equivalent native Python types (float or int), returning the original value if it's not a NumPy numeric scalar.

    File: /tf/active/vicechatdev/patches/util.py

    numpy type-conversion scalar data-processing utility

  • function cast_array_to_int64

    Converts a numpy array to int64 dtype while suppressing FutureWarning about datetime64 to int64 casting that is deprecated in newer numpy/pandas versions.

    File: /tf/active/vicechatdev/patches/util.py

    numpy type-conversion datetime int64 warning-suppression

  • class Callable

    Callable is a wrapper class for callback functions used with DynamicMaps, providing memoization, stream management, and input/output tracking capabilities.

    File: /tf/active/vicechatdev/patches/spaces.py

    callback wrapper memoization caching dynamic-visualization

  • class DynamicMap

    A DynamicMap is a type of HoloMap where the elements are dynamically generated by a callable. The callable is invoked with values associated with the key dimensions or with values supplied by stream parameters.

    File: /tf/active/vicechatdev/patches/spaces.py

    class dynamicmap

  • class GridSpace

    GridSpace is a container class for organizing elements in a 1D or 2D grid structure with floating-point keys, ensuring all contained elements are of the same type.

    File: /tf/active/vicechatdev/patches/spaces.py

    grid layout container mapping 2D-grid

  • class Config_v5

    A hierarchical configuration manager that loads and manages settings from multiple sources (defaults, files, environment variables) with support for nested structures and dynamic updates.

    File: /tf/active/vicechatdev/invoice_extraction/config.py

    configuration settings config-management yaml json

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