I am not able to import statement as-
from airflow.contrib.operators.gcp_sql_operator import CloudSqlQueryOperator
I want to import this in my DAG file which will be run in cloud composer airflow whose version is 1.10.0 and not 1.9.0.Here just to check, I tried to import gcs_to_gcs as-
from airflow.contrib.operators.gcs_to_gcs import GoogleCloudStorageToGoogleCloudStorageOperator
I am able to import this but not gcp_sql_operator.
The CloudSqlQueryOperator operator is released since Airflow 1.10.2, which is currently not supported in Composer versions. The support for 1.10.2 should be available soon in Composer, before that you may want to manually copy gcp_sql_operator.py and its dependencies to the Composer dags folder following the instruction here.
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I am building a QGIS plugin and I'd like to import a module named python-ternary. I have a specific issue importing this module (others get imported), and importing it in QGIS (works outside of QGIS).
I installed it using pip, tried to import it outside of QGIS, works fine.
Now writing this in my plugin main file:
from qgis.PyQt.QtCore import QSettings, QTranslator, QCoreApplication, Qt
from qgis.PyQt.QtGui import QIcon, QColor
from qgis.PyQt.QtWidgets import QAction, QApplication
from .resources import *
import psycopg2
import ternary
I get this when loading my plugin with the QGIS plugin manager:
QGIS error when loading the plugin
Now the python-ternary module is well installed in lib\site-packages:
ternary file in lib\site-packages
And lib\site-packages is on path as shown in the QGIS error.
I have no problem importing other modules in QGIS e.g. psycopg2 is imported without issue. I force reinstalled python-ternary with pip, to no avail.
Is there a compatibility issue with this particular module I'm not aware of ?
Cannot import SparkDataset in Databricks using;
from kedro.extras.datasets.spark import SparkDataSet
have you done pip install "kedro[spark.SparkDataSet]" ?
A new kedro project needs dependencies installed for connectors before use.
Also dataset types are case sensitive , so make sure in your catalog it is SparkDataSet and not Sparkdataset etc.
tflite_support's task library is missing. I've install the tflite_support with pip install tflite-support. I've tried using help() function to get the pakage content with help(tflite_support) and got the output 'PACKAGE CONTENTS
_pywrap_codegen
_pywrap_flatbuffers codegen
flatbuffers (package)
metadata
metadata_schema_py_generated
schema_py_generated'. There is no task library inside like how the tflite website shows https://www.tensorflow.org/lite/inference_with_metadata/task_library/object_detector#run_inference_in_python. I get the same result doing it in my window pc. Am I doing anything wrong or the task library is just missing?
I'm using tflite-support 0.4.1 and it looks like the task module is not supported on Windows:
import flatbuffers
import platform
from tensorflow_lite_support.metadata import metadata_schema_py_generated
from tensorflow_lite_support.metadata import schema_py_generated
from tensorflow_lite_support.metadata.python import metadata
from tflite_support import metadata_writers
if platform.system() != 'Windows':
# Task Library is not supported on Windows yet.
from tflite_support import task
There's also a note about it in the task_library docs.
I'm trying to create a layer and use it in Lambda function for PostgreSQL but getting the issue:
"errorMessage": "Unable to import module 'lambda_function': No module named 'psycopg2'",
"errorType": "Runtime.ImportModuleError"
I've tried uploading the Psycopg2 package from https://github.com/jkehler/awslambda-psycopg2 but still no progress. I've tried every version from 3.6 to 3.9. I'm using Windows OS.
What is the simplest way or the best solution for it?
I want to use the Leaflet.awesome-marker plugin in my angular project.
I installed the package throught yarn and imported in my component using
import * as awesome from 'leaflet.awesome-marker';
But I receive the following error:
Cannot find module 'leaflet.awesome-marker'
Doing the same thing with the geojson module works fine, why not with this one?
Try importing leaflet.awesome-markers, not leaflet.awesome-marker