class_docstr: A TFX ml-metadata store that provides read-only methods for notebooks.
class_docstr_tok: ["A","TFX","ml-metadata","store","that","provides","read-only","methods","for","notebooks","."]
docstr: Returns a `TFXReadonlyMetadataStore` based off a SQLITE db uri.
  
  Args:
    filename_uri: A `str` indicating the path to the SQLITE db.
  
  Returns:
    A `TFXReadonlyMetadataStore` based off a SQLITE db uri.
docstr_tok: ["Returns","a","`","TFXReadonlyMetadataStore","`","based","off","a","SQLITE","db","uri",".","Args",":","filename_uri",":","A","`","str","`","indicating","the","path","to","the","SQLITE","db",".","Returns",":","A","`","TFXReadonlyMetadataStore","`","based","off","a","SQLITE","db","uri","."]
code: def from_sqlite_db(filename_uri):
      """Returns a `TFXReadonlyMetadataStore` based off a SQLITE db uri.
  
      Args:
        filename_uri: A `str` indicating the path to the SQLITE db.
  
      Returns:
        A `TFXReadonlyMetadataStore` based off a SQLITE db uri.
      """
      c = metadata_store_pb2.ConnectionConfig()
      c.sqlite.filename_uri = filename_uri
      return TFXReadonlyMetadataStore(metadata_store.MetadataStore(c))
  
imports: import os
  import time
  import papermill
  import tensorflow_data_validation
  import tensorflow_model_analysis
  import utils
  from ml_metadata.metadata_store import metadata_store
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 1 for calling the TFXReadonlyMetadataStore obj's underlying member method code with example usage: obj.from_sqlite_db(filename_uri) and returns: TFXReadonlyMetadataStore