Specklepy relies on the frontend being available

fix: remove fixtures from automate exports

docker-compose.yml

@@ -111,46 +111,27 @@ services:
       POSTGRES_DB: "speckle"
       ENABLE_MP: "false"
 
-  preview-service:
-    image: speckle/speckle-preview-service:latest
-    restart: always
-    depends_on:
-      speckle-server:
-        condition: service_healthy
-    mem_limit: "1000m"
-    memswap_limit: "1000m"
-    environment:
-      DEBUG: "preview-service:*"
-      PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle"
+  ####
+  # Testing and development tools
+  #######
 
-  webhook-service:
-    image: speckle/speckle-webhook-service:latest
-    restart: always
-    depends_on:
-      speckle-server:
-        condition: service_healthy
-    environment:
-      DEBUG: "webhook-service:*"
-      PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle"
-      WAIT_HOSTS: postgres:5432
-
-  fileimport-service:
-    image: speckle/speckle-fileimport-service:latest
-    restart: always
-    depends_on:
-      speckle-server:
-        condition: service_healthy
-    environment:
-      DEBUG: "fileimport-service:*"
-      PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle"
-      WAIT_HOSTS: postgres:5432
-
-      S3_ENDPOINT: "http://minio:9000"
-      S3_ACCESS_KEY: "minioadmin"
-      S3_SECRET_KEY: "minioadmin"
-      S3_BUCKET: "speckle-server"
-
-      SPECKLE_SERVER_URL: "http://speckle-server:3000"
+  toxiproxy:
+    ###
+    # Toxiproxy is a tool to simulate network conditions https://github.com/Shopify/toxiproxy
+    # Instead of connecting to speckle-server on port 3000, connect to ToxiProxy on port 3001
+    # Toxiproxy will forward the connection to speckle-server
+    # Use the ToxiProxy API to simulate network conditions as necessary
+    ###
+    image: ghcr.io/shopify/toxiproxy:2.9.0
+    volumes:
+      # This mounts the toxiproxy.json file into the container at /config/toxiproxy.json
+      - ./toxiproxy.json:/config/toxiproxy.json
+    # This command starts toxiproxy with the configuration file
+    entrypoint: /toxiproxy -config /config/toxiproxy.json
+    ports:
+      # open ports to match the 'listen' ports in the toxiproxy.json file
+      - 8474:8474 # Toxiproxy API
+      - 3001:3001 # Speckle server
 
 networks:
   default:

src/speckle_automate/__init__.py

@@ -1,5 +1,5 @@
 """This module contains an SDK for working with Speckle Automate."""
-from speckle_automate import fixtures
+
 from speckle_automate.automation_context import AutomationContext
 from speckle_automate.runner import execute_automate_function, run_function
 from speckle_automate.schema import (
@@ -21,5 +21,4 @@ __all__ = [
     "ObjectResultLevel",
     "run_function",
     "execute_automate_function",
-    "fixtures",
 ]

src/speckle_automate/automation_context.py

@@ -290,6 +290,10 @@ class AutomationContext:
         """Mark the current run a failure."""
         self._mark_run(AutomationStatus.FAILED, status_message)
 
+    def mark_run_exception(self, status_message: str) -> None:
+        """Mark the current run a failure."""
+        self._mark_run(AutomationStatus.EXCEPTION, status_message)
+
     def mark_run_success(self, status_message: Optional[str]) -> None:
         """Mark the current run a success with an optional message."""
         self._mark_run(AutomationStatus.SUCCEEDED, status_message)

src/speckle_automate/runner.py

@@ -132,7 +132,10 @@ def execute_automate_function(
 
         # if we've gotten this far, the execution should technically be completed as expected
         # thus exiting with 0 is the schemantically correct thing to do
-        exit(0)
+        exit_code = (
+            1 if automation_context.run_status == AutomationStatus.EXCEPTION else 0
+        )
+        exit(exit_code)
 
     else:
         raise NotImplementedError(f"Command: '{command}' is not supported.")
@@ -175,6 +178,7 @@ def run_function(
         if automation_context.run_status not in [
             AutomationStatus.FAILED,
             AutomationStatus.SUCCEEDED,
+            AutomationStatus.EXCEPTION,
         ]:
             automation_context.mark_run_success(
                 "WARNING: Automate assumed a success status,"
@@ -183,7 +187,7 @@ def run_function(
     except Exception:
         trace = traceback.format_exc()
         print(trace)
-        automation_context.mark_run_failed(
+        automation_context.mark_run_exception(
             "Function error. Check the automation run logs for details."
         )
     finally:

src/speckle_automate/schema.py

@@ -63,6 +63,7 @@ class AutomationStatus(str, Enum):
     RUNNING = "RUNNING"
     FAILED = "FAILED"
     SUCCEEDED = "SUCCEEDED"
+    EXCEPTION = "EXCEPTION"
 
 
 class ObjectResultLevel(str, Enum):

tests/integration/conftest.py

@@ -17,7 +17,7 @@ metrics.disable()
 
 @pytest.fixture(scope="session")
 def host():
-    return "localhost:3000"
+    return "localhost:3001"
 
 
 def seed_user(host):

toxiproxy.json

@@ -0,0 +1,8 @@
+[
+  {
+    "name": "speckle_test_speckle-server",
+    "listen": "0.0.0.0:3001",
+    "upstream": "speckle-server:3000",
+    "enabled": true
+  }
+]