How to install Spark OCR in a Docker container.

[JustHeroo]

I'm trying to install in a Docker container to make things more portable. I'm running into an error that looks like a license issue, I got my regenerated license keys and I'm still seeing an error.
This is the error that I'm seeing:

An error occurred while calling z:com.johnsnowlabs.nlp.pretrained.InternalsPythonResourceDownloader.downloadModel.
: com.johnsnowlabs.license.exceptions.JslInvalidLicenseException: Wrong symbol in license key: [********].
at com.johnsnowlabs.license.LicenseValidator$.$anonfun$getLicense$4(LicenseValidator.scala:96)
The call that I am making that causes this error is here:
clinical_ner = MedicalNerModel.pretrained("ner_clinical_large","en","clinical/models")
.setInputCols(["sentence","token","embeddings"])
.setOutputCol("ner")

[... after running this code to connect:]
def start(secret):
builder = SparkSession.builder
.appName("Spark NLP Licensed")
.master("local[*]")
.config("spark.driver.memory", "16G")
.config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
.config("spark.kryoserializer.buffer.max", "2000M")
.config("spark.jars.packages", "com.johnsnowlabs.nlp:spark-nlp_2.12:"+version)
.config("spark.jars", "https://pypi.johnsnowlabs.com/"+secret+"/spark-nlp-jsl-"+version+".jar")
return builder.getOrCreate()

Some relevant lines of the Dockerfile here:
ENV VERSION 3.2.1
RUN pip3 install --no-cache-dir pyspark spark-nlp==${VERSION} numpy pandas tika
RUN pip install --no-cache-dir -q spark-nlp-jsl==${VERSION} --extra-index-url https://pypi.johnsnowlabs.com/${SPARK_NLP_LICENSE} --upgrade
My secret license key begins with 3.2.1-
Spark: The version of pyspark that installs is 3.1.2.
Java: OpenJDK version 8, 64-bit
Spark NLP: 3.2.1
Spark NLP JSL: 3.2.1

[JustHeroo]

I have now fixed it thanks to your prompting and have a working prototype. I wasn't creating the full license as an environment variable under the correct name (I didn't realise its significance).
For reference, the relevant lines of the Dockerfile that I needed to write were as follows:

Need this for the local installation of Spark NLP Healthcare libraries:

ENV SPARK_NLP_SECRET 3.2.1-

Need to export this for the Spark environment

ENV SPARK_NLP_LICENSE