#180 Fix deployment versioning with environment and image cache hash Pull request opened by pingsutw ## Summary • Fixed deployment versioning to include environment and image cache hashes in version calculation • Added hashlib and cloudpickle imports for proper hash computation • Updated version calculation logic to compute MD5 hash from deployment environments, code bundle version, and image cache when no explicit version is provided ## Test plan import os import flyte # TaskEnvironments provide a simple way of grouping configuration used by tasks (more later). env = flyte.TaskEnvironment(name="hello_world", resources=flyte.Resources(memory="250Mi"), image=os.getenv("FLYTE_IMAGE")) # use TaskEnvironments to define tasks, which are regular Python functions. @env.task def fn(x: int) -> int: # type annotations are recommended. slope, intercept = 2, 5 return slope * x + intercept # tasks can also call other tasks, which will be manifested in different containers. @env.task def main(x_list: list[int]) -> float: x_len = len(x_list) if x_len < 10: raise ValueError(f"x_list doesn't have a larger enough sample size, found: {x_len}") y_list = list(flyte.map(fn, x_list)) # flyte.map is like Python map, but runs in parallel. y_mean = sum(y_list) / len(y_list) return y_mean if name == "__main__": flyte.init_from_config() # establish remote connection from within your script. run = flyte.run(main, x_list=list(range(10))) # run remotely inline and pass data. # print various attributes of the run. print(run.name) print(run.url) run.wait(run) # stream the logs from the root action to the terminal. flyteorg/flyte-sdk