feat(executors): add support for selecting port for starting server

libs/executors/garf_executors/__init__.py

@@ -57,4 +57,4 @@ def setup_executor(
   'ApiExecutionContext',
 ]
 
-__version__ = '0.2.1'
+__version__ = '0.2.2'

libs/executors/garf_executors/api_executor.py

@@ -58,12 +58,22 @@ def __init__(self, fetcher: report_fetcher.ApiReportFetcher) -> None:
 
   @classmethod
   def from_fetcher_alias(
-    cls, source: str, fetcher_parameters: dict[str, str] | None = None
+    cls,
+    source: str,
+    fetcher_parameters: dict[str, str] | None = None,
+    enable_cache: bool = False,
+    cache_ttl_seconds: int = 3600,
   ) -> ApiQueryExecutor:
     if not fetcher_parameters:
       fetcher_parameters = {}
     concrete_api_fetcher = fetchers.get_report_fetcher(source)
-    return ApiQueryExecutor(fetcher=concrete_api_fetcher(**fetcher_parameters))
+    return ApiQueryExecutor(
+      fetcher=concrete_api_fetcher(
+        **fetcher_parameters,
+        enable_cache=enable_cache,
+        cache_ttl_seconds=cache_ttl_seconds,
+      )
+    )
 
   @tracer.start_as_current_span('api.execute')
   def execute(
@@ -86,11 +96,13 @@ def execute(
       GarfExecutorError: When failed to execute query.
     """
     span = trace.get_current_span()
-    span.set_attribute('fetcher', self.fetcher.__class__.__name__)
-    span.set_attribute('api_client', self.fetcher.api_client.__class__.__name__)
+    span.set_attribute('fetcher.class', self.fetcher.__class__.__name__)
+    span.set_attribute(
+      'api.client.class', self.fetcher.api_client.__class__.__name__
+    )
     try:
-      span.set_attribute('query_title', title)
-      span.set_attribute('query_text', query)
+      span.set_attribute('query.title', title)
+      span.set_attribute('query.text', query)
       logger.debug('starting query %s', query)
       results = self.fetcher.fetch(
         query_specification=query,

libs/executors/garf_executors/entrypoints/server.py

@@ -18,9 +18,11 @@
 
 import fastapi
 import pydantic
+import typer
 import uvicorn
 from garf_io import reader
 from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
+from typing_extensions import Annotated
 
 import garf_executors
 from garf_executors import exceptions
@@ -29,6 +31,7 @@
 initialize_tracer()
 app = fastapi.FastAPI()
 FastAPIInstrumentor.instrument_app(app)
+typer_app = typer.Typer()
 
 
 class ApiExecutorRequest(pydantic.BaseModel):
@@ -104,5 +107,12 @@ def execute_batch(request: ApiExecutorRequest) -> ApiExecutorResponse:
   return ApiExecutorResponse(results=results)
 
 
+@typer_app.command()
+def main(
+  port: Annotated[int, typer.Option(help='Port to start the server')] = 8000,
+):
+  uvicorn.run(app, port=port)
+
+
 if __name__ == '__main__':
-  uvicorn.run(app)
+  typer_app()

libs/executors/pyproject.toml

@@ -11,6 +11,7 @@ dependencies = [
   "pydantic",
   "opentelemetry-api",
   "opentelemetry-sdk",
+  "opentelemetry-exporter-otlp",
 ]
 authors = [
   {name = "Google Inc. (gTech gPS CSE team)", email = "no-reply@google.com"},
@@ -51,7 +52,7 @@ sql=[
 server=[
   "fastapi[standard]",
   "opentelemetry-instrumentation-fastapi",
-  "opentelemetry-exporter-otlp",
+  "typer",
 ]
 all = [
   "garf-executors[bq,sql,server]"