Fix workflow failures: add missing httpx dependency and format code

[Claude]

Two workflows were failing: python-app.yml due to missing httpx dependency and ci.yml due to unformatted code.

Changes

• Added httpx==0.25.2 to requirements.txt: FastAPI TestClient requires httpx (imported via starlette.testclient), but it was only present in gateway/requirements.txt. The python-app workflow installs only the main requirements.txt, causing test imports to fail.

• Formatted 4 Python files with Black: CI enforces strict formatting. Reformatted gateway/main.py, gateway/database.py, gateway/main_production.py, and tests/test_python_modules.py to meet style requirements.

[Copilot]

Pull request overview

Fixes CI/workflow failures by ensuring the root requirements.txt contains httpx (needed by FastAPI/Starlette TestClient imports) and by applying Black formatting to Python files that are checked in CI.

Changes:

• Add httpx==0.25.2 to the root requirements.txt so the python-app.yml workflow installs it.
• Reformat select Python files with Black to satisfy black --check in ci.yml.
• Minor formatting-only adjustments to queries/validators for style compliance.

Reviewed changes

Copilot reviewed 4 out of 5 changed files in this pull request and generated 1 comment.

Show a summary per file

File	Description
requirements.txt	Adds httpx==0.25.2 to align installed deps with tests/workflows.
tests/test_python_modules.py	Black formatting (line wrapping) in SHA1 test.
gateway/main.py	Black formatting of allowed_types list in IOC validator.
gateway/main_production.py	Black formatting of allowed_types list and a SQLAlchemy query chain.
gateway/database.py	Black formatting of sessionmaker(...) call.

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[Copilot]

gateway/main_production.py is running with pydantic==2.5.0 (per requirements), but this model still uses the legacy @validator API. In Pydantic v2 this is deprecated and can emit DeprecationWarnings (and may fail CI if warnings are treated as errors). Consider migrating these validators to @field_validator (with @classmethod) for v2 consistency, or explicitly import validator from pydantic.v1 if you intend to keep v1-style validators here.