swagger-api / swagger-api/swagger-codegen
[Python-Flask] Default Dockerfile should pull `python:3.8-alpine`
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Description
Description
Python-flask generated code, once put into a docker container could not recognize arrays of strings and reported None until I updated the python container from FROM python:3.6-alpine to FROM Python:3.8-alpine.
Swagger-codegen version
Exported from swaggerhub.com so what ever is there.
Swagger declaration file content or url
https://app.swaggerhub.com/apis/lwileczek-dmc/caml-measurements/1.1.0
Command line used for generation
docker build . -t example_app:1.0.0
docker run --rm -p 8080:8080 -d example_app:1.0.0
curl -X POST 'http://localhost:8080/api/v1/write' -H "Content-Type: application/json" -d '
{
"measurements": {
"performer": "team0",
"system": "dell",
"experiment": "myfile12.csv",
"replication-id": "4",
"replication-settings": {
"rain": "heavy",
"fog": false
},
"inference-system-time": "2021-12-31T23:59:60Z",
"inference-id": 333,
"inference-true-conditions": {
"fog": true,
"snow": true,
"wind": true
},
"ml-strategy": "tree",
"ml-performance": 0.2,
"caml-conditions": ["horse", "car"],
"caml-performance": 0.6,
"caml-strategy": "tree"
},
"connection": {"url": "http://localhost", "port": 9200, "username": "None", "password": "None", "index": "testcaml"}
}'
The error is thrown by "caml-conditions": ["horse", "car"],
Suggest a fix/enhancement
generated dockerfile should pull from python:3.8-alpine.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Locate the Python-Flask generated Dockerfile template and inspect the base-image line; the issue identifies the current and desired Python Alpine images. Update the default to python:3.8-alpine, then run the provided docker build and docker run commands to verify the generated container uses the requested image and handles the example request.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, flask, python
- Domain
- backend, devops
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 55/100