Migration from Docker to Standalone Python Server (#73)

* Migration from docker to standalone server
Migration handling
Fixed tests
Use simpler in-memory storage
Support for concurrent logging to disk
Simplified direct connections to localhost

* Migration from docker / redis to standalone script
Updated tests
Updated run script
Fixed requirements
Use dotenv
Ask if user would like to install MCP in Claude Desktop once
Updated docs

* More cleanup and references to docker removed

* Cleanup

* Comments

* Fixed tests

* Fix GitHub Actions workflow for standalone Python architecture

- Install requirements-dev.txt for pytest and testing dependencies
- Remove Docker setup from simulation tests (now standalone)
- Simplify linting job to use requirements-dev.txt
- Update simulation tests to run directly without Docker

Fixes unit test failures in CI due to missing pytest dependency.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* Remove simulation tests from GitHub Actions

- Removed simulation-tests job that makes real API calls
- Keep only unit tests (mocked, no API costs) and linting
- Simulation tests should be run manually with real API keys
- Reduces CI costs and complexity

GitHub Actions now only runs:
- Unit tests (569 tests, all mocked)
- Code quality checks (ruff, black)

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* Fixed tests

* Fixed tests

---------

Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
Beehive Innovations
2025-06-18 23:41:22 +04:00
committed by GitHub
parent 9d72545ecd
commit 4151c3c3a5
121 changed files with 2842 additions and 3168 deletions

View File

@@ -453,20 +453,13 @@ class GeminiModelProvider(ModelProvider):
mime_type = header.split(";")[0].split(":")[1]
return {"inline_data": {"mime_type": mime_type, "data": data}}
else:
# Handle file path - translate for Docker environment
# Handle file path
from utils.file_types import get_image_mime_type
from utils.file_utils import translate_path_for_environment
translated_path = translate_path_for_environment(image_path)
logger.debug(f"Translated image path from '{image_path}' to '{translated_path}'")
if not os.path.exists(translated_path):
logger.warning(f"Image file not found: {translated_path} (original: {image_path})")
if not os.path.exists(image_path):
logger.warning(f"Image file not found: {image_path}")
return None
# Use translated path for all subsequent operations
image_path = translated_path
# Detect MIME type from file extension using centralized mappings
ext = os.path.splitext(image_path)[1].lower()
mime_type = get_image_mime_type(ext)