Promote dev to staging: stage-aware config and deploy path fixes

coaching/pulumi/__main__.py

@@ -1,5 +1,6 @@
 import datetime
 import json
+from pathlib import Path
 
 import pulumi_aws as aws
 import pulumi_docker as docker
@@ -17,8 +18,12 @@
         "api_domain": "api.dev.purposepath.app",
         "certificate_output": "apiDev",
         "jwt_secret": "purposepath-jwt-secret-dev",
+        "openai_api_key_secret": "purposepath/dev/openai-api-key",
+        "google_vertex_credentials_secret": "purposepath/dev/google-vertex-credentials",
         "jwt_issuer": "https://api.dev.purposepath.app",
         "jwt_audience": "https://dev.purposepath.app",
+        "account_api_url": "https://api.dev.purposepath.app",
+        "business_api_base_url": "https://api.dev.purposepath.app/account/api/v1",
         "log_level": "INFO",
         "ai_debug_logging": "true",  # Enable detailed AI execution logging for debugging
     },
@@ -28,8 +33,12 @@
         "api_domain": "api.staging.purposepath.app",
         "certificate_output": "apiStaging",
         "jwt_secret": "purposepath-jwt-secret-staging",
+        "openai_api_key_secret": "purposepath/staging/openai-api-key",
+        "google_vertex_credentials_secret": "purposepath/staging/google-vertex-credentials",
         "jwt_issuer": "https://api.staging.purposepath.app",
         "jwt_audience": "https://staging.purposepath.app",
+        "account_api_url": "https://api.staging.purposepath.app",
+        "business_api_base_url": "https://api.staging.purposepath.app/account/api/v1",
         "log_level": "INFO",
     },
     "prod": {
@@ -38,8 +47,12 @@
         "api_domain": "api.purposepath.app",
         "certificate_output": "apiProd",
         "jwt_secret": "purposepath-jwt-secret-prod",
+        "openai_api_key_secret": "purposepath/prod/openai-api-key",
+        "google_vertex_credentials_secret": "purposepath/prod/google-vertex-credentials",
         "jwt_issuer": "https://api.purposepath.app",
         "jwt_audience": "https://purposepath.app",
+        "account_api_url": "https://api.purposepath.app",
+        "business_api_base_url": "https://api.purposepath.app/account/api/v1",
         "log_level": "WARNING",
     },
 }
@@ -296,15 +309,17 @@
 
 # Build and push Docker image
 auth_token = aws.ecr.get_authorization_token()
+project_root = Path(__file__).resolve().parents[2]
+dockerfile_path = project_root / "coaching" / "Dockerfile"
 
 # Cache-busting: use timestamp to force rebuild
-build_timestamp = datetime.datetime.utcnow().isoformat()
+build_timestamp = datetime.datetime.now(datetime.UTC).isoformat()
 
 image = docker.Image(
     "coaching-image",
     build=docker.DockerBuildArgs(
-        context="../..",  # pp_ai directory
-        dockerfile="../Dockerfile",
+        context=str(project_root),  # pp_ai directory
+        dockerfile=str(dockerfile_path),
         platform="linux/amd64",
         args={
             "BUILD_TIMESTAMP": build_timestamp,  # Force rebuild with timestamp
@@ -336,6 +351,10 @@
             "JWT_SECRET_NAME": stack_config["jwt_secret"],
             "JWT_ISSUER": stack_config["jwt_issuer"],
             "JWT_AUDIENCE": stack_config["jwt_audience"],
+            "OPENAI_API_KEY_SECRET": stack_config["openai_api_key_secret"],
+            "GOOGLE_VERTEX_CREDENTIALS_SECRET": stack_config["google_vertex_credentials_secret"],
+            "ACCOUNT_API_URL": stack_config["account_api_url"],
+            "BUSINESS_API_BASE_URL": stack_config["business_api_base_url"],
             "AI_DEBUG_LOGGING": stack_config.get(
                 "ai_debug_logging", "false"
             ),  # Optional, defaults to false

coaching/src/api/legacy_dependencies.py

@@ -121,12 +121,9 @@ async def get_template_metadata_repository() -> TemplateMetadataRepository:
         TemplateMetadataRepository instance configured with settings
     """
     dynamodb = get_dynamodb_resource_singleton()
-    # Use a dedicated table for template metadata
-    # For now, using a default name - this should be in settings
-    table_name = getattr(settings, "template_metadata_table", "prompt_templates_metadata")
     return TemplateMetadataRepository(
         dynamodb_resource=dynamodb,
-        table_name=table_name,
+        table_name=settings.template_metadata_table,
     )