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──────
### Summary of Changes
  1. Documentation Consolidation:
      • Relocated the docs/ folder and all repository .md files (README.md, DEPLOYMENT.md, DOCKER_README.md,
      DOMAINS_README.md, GETTING_STARTED.md, CI_CD_PORTAINER_GUIDE.md, ADMIN_DEPLOYMENT_SUMMARY.md,
      SECURITY_PRIVATE_FILES.md, handoff.md, azure-project-plan.md, plus service-specific READMEs) into .
      • Updated document links in README.md.
  2. AI Agent Project Map:
      • Created PROJECT_MAP.md in the project root containing complete architecture diagrams, service specs, ports, DB
      schemas, environment variables, and developer workflows.
      • Added PROJECT_MAP.md to .gitignore.
  3. Monitoring UI & Infrastructure Integration:
      • Added monitoring_ui service to docker-compose.yml (port 5175).
      • Configured Gitea workflow docker-build.yml for monitoring_ui builds.
      • Added CORS middleware headers in index.js.
      • Added nginx.conf copy step in Dockerfile.

  ──────
  ### Recommended Commit Message

    docs: consolidate project documentation into monitoring_ui and add agent project map

    - Move all markdown documentation files and docs/ folder into monitoring_ui/docs/
    - Update documentation hub index (monitoring_ui/docs/README.md) with relative paths
    - Generate comprehensive AI agent reference map (PROJECT_MAP.md) in repository root
    - Add PROJECT_MAP.md and monitoring_ui build output/env overrides to .gitignore
    - Integrate monitoring_ui service into docker-compose.yml and Gitea CI workflow
    - Configure CORS handling in employee_api for monitoring dashboard access
    ──────
  ### Alternative Short Commit Message

    refactor(docs): move docs to monitoring_ui and create AI agent PROJECT_MAP.md
2026-09-20 23:33:55 +02:00

15 KiB

Important: This skill provides guidance and recommended instructions to assist the AI system. Outputs are not guaranteed to be complete, correct, secure, or applicable to every scenario. Results should be reviewed and validated by a human before being applied. The AI model may choose not to follow all instructions exactly, and additional verification may be required.

Python Runtime Reference

Azure Functions v2 model, Python. pytest, Pydantic validation, structlog, DI patterns.


Azure Functions v2 Setup

Initialization

func init services/functions --python --model V2
cd services/functions
pip install -r requirements.txt

host.json

{
  "version": "2.0",
  "logging": {
    "applicationInsights": {
      "samplingSettings": {
        "isEnabled": true,
        "excludedTypes": "Request"
      }
    }
  },
  "extensionBundle": {
    "id": "Microsoft.Azure.Functions.ExtensionBundle",
    "version": "[4.*, 5.0.0)"
  }
}

local.settings.json

{
  "IsEncrypted": false,
  "Values": {
    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
    "FUNCTIONS_WORKER_RUNTIME": "python",
    "AZURE_FUNCTIONS_ENVIRONMENT": "Development",
    "ENVIRONMENT": "development",
    "STORAGE_CONNECTION_STRING": "UseDevelopmentStorage=true",
    "DATABASE_URL": "postgresql://<POSTGRES_USER>:<POSTGRES_PASSWORD>@localhost:5432/appdb",
    "REDIS_URL": "redis://localhost:6379"
  },
  "Host": {
    "CORS": "*",
    "CORSCredentials": false
  }
}

local.settings.json is plain JSON and does not support ${...} interpolation. Replace <POSTGRES_USER> / <POSTGRES_PASSWORD> with the same discrete values declared in the workspace-root .env used by docker-compose. Never leave the angle-bracket placeholders in the generated file, and never paste a credential value copied out of tool output — redaction filters rewrite concrete credential URLs, and a masked value beginning with * corrupts YAML/JSON config.

pyproject.toml

[project]
name = "functions"
version = "1.0.0"
requires-python = ">=3.11"
dependencies = [
    "azure-functions>=1.17.0",
    "pydantic>=2.0.0",
    "structlog>=23.0.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "pytest-asyncio>=0.21.0",
    "pytest-cov>=4.0.0",
    "ruff>=0.1.0",
    "httpx>=0.25.0",
]

# Add per-service dependencies as needed:
# "azure-storage-blob>=12.0.0",
# "psycopg2-binary>=2.9.0",
# "redis>=5.0.0",

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_functions = ["test_*"]
asyncio_mode = "auto"

[tool.ruff]
line-length = 100
target-version = "py311"

[tool.ruff.lint]
select = ["E", "F", "I", "N", "W"]

Function Handler Pattern

function_app.py (Registration)

# function_app.py
import azure.functions as func
from services.registry import initialize_services

# Initialize services on cold start
initialize_services()

app = func.FunctionApp(http_auth_level=func.AuthLevel.ANONYMOUS)

# Import function handlers — they register themselves via decorators
import functions.get_items      # noqa: F401
import functions.create_item    # noqa: F401
import functions.get_item_by_id # noqa: F401
import functions.health         # noqa: F401

HTTP Function (v2 Model)

# functions/get_items.py
import azure.functions as func
import json
from services.registry import get_services
from errors.error_handler import handle_error
from function_app import app

@app.route(route="items", methods=["GET"])
async def get_items(req: func.HttpRequest) -> func.HttpResponse:
    try:
        services = get_services()
        limit = int(req.params.get("limit", "20"))
        offset = int(req.params.get("offset", "0"))

        items = await services.database.find_all("items", limit=limit, offset=offset)

        return func.HttpResponse(
            json.dumps({"items": items, "total": len(items)}),
            status_code=200,
            mimetype="application/json",
        )
    except Exception as e:
        return handle_error(e)

POST with Validation

# functions/create_item.py
import azure.functions as func
import json
import uuid
from datetime import datetime, timezone
from services.registry import get_services
from errors.error_handler import handle_error
from shared.validation import CreateItemRequest
from function_app import app

@app.route(route="items", methods=["POST"])
async def create_item(req: func.HttpRequest) -> func.HttpResponse:
    try:
        # Validate input
        body = req.get_json()
        validated = CreateItemRequest(**body)

        services = get_services()
        now = datetime.now(timezone.utc).isoformat()

        item = {
            "id": str(uuid.uuid4()),
            **validated.model_dump(),
            "created_at": now,
            "updated_at": now,
        }

        created = await services.database.create("items", item)

        return func.HttpResponse(
            json.dumps({"item": created}),
            status_code=201,
            mimetype="application/json",
        )
    except Exception as e:
        return handle_error(e)

GET by ID with 404

# functions/get_item_by_id.py
import azure.functions as func
import json
from services.registry import get_services
from errors.error_handler import handle_error
from errors.error_types import NotFoundError
from function_app import app

@app.route(route="items/{id}", methods=["GET"])
async def get_item_by_id(req: func.HttpRequest) -> func.HttpResponse:
    try:
        services = get_services()
        item_id = req.route_params.get("id")

        item = await services.database.find_by_id("items", item_id)
        if item is None:
            raise NotFoundError("Item", item_id)

        return func.HttpResponse(
            json.dumps({"item": item}),
            status_code=200,
            mimetype="application/json",
        )
    except Exception as e:
        return handle_error(e)

Health Check

# functions/health.py
import azure.functions as func
import json
from services.registry import get_services
from function_app import app

@app.route(route="health", methods=["GET"])
async def health(req: func.HttpRequest) -> func.HttpResponse:
    services = get_services()
    checks = {}

    try:
        checks["database"] = await services.database.health_check()
    except Exception:
        checks["database"] = False

    try:
        checks["storage"] = await services.storage.health_check()
    except Exception:
        checks["storage"] = False

    try:
        checks["cache"] = await services.cache.health_check()
    except Exception:
        checks["cache"] = False

    all_healthy = all(checks.values())
    any_healthy = any(checks.values())
    status = "healthy" if all_healthy else ("degraded" if any_healthy else "unhealthy")

    return func.HttpResponse(
        json.dumps({"status": status, "services": checks}),
        status_code=200 if all_healthy else 503,
        mimetype="application/json",
    )

pytest Configuration

conftest.py (Global Test Setup)

# tests/conftest.py
import pytest
import json
from pathlib import Path
from services.registry import register_services, clear_services, ServiceRegistry
from tests.mocks.mock_database import MockDatabaseService
from tests.mocks.mock_storage import MockStorageService
from tests.mocks.mock_cache import MockCacheService

@pytest.fixture(autouse=True)
def setup_mock_services(item_fixtures):
    """Register mock services before each test, clear after."""
    register_services(
        ServiceRegistry(
            database=MockDatabaseService({"items": item_fixtures["validItems"]}),
            storage=MockStorageService(),
            cache=MockCacheService(),
        )
    )
    yield
    clear_services()

@pytest.fixture
def item_fixtures():
    fixture_path = Path(__file__).parent / "fixtures" / "items.json"
    with open(fixture_path) as f:
        return json.load(f)

@pytest.fixture
def valid_item(item_fixtures):
    return item_fixtures["validItems"][0]

@pytest.fixture
def invalid_items(item_fixtures):
    return item_fixtures["invalidItems"]

@pytest.fixture
def mock_database(item_fixtures):
    return MockDatabaseService({"items": item_fixtures["validItems"]})

Test Examples

# tests/test_get_items.py
import pytest
from unittest.mock import AsyncMock
from services.registry import get_services

async def test_get_items_returns_all_items(item_fixtures):
    services = get_services()
    items = await services.database.find_all("items")
    assert len(items) == len(item_fixtures["validItems"])

async def test_get_items_returns_empty_when_no_data():
    from services.registry import register_services, ServiceRegistry
    from tests.mocks.mock_database import MockDatabaseService
    from tests.mocks.mock_storage import MockStorageService
    from tests.mocks.mock_cache import MockCacheService

    register_services(
        ServiceRegistry(
            database=MockDatabaseService(),
            storage=MockStorageService(),
            cache=MockCacheService(),
        )
    )
    services = get_services()
    items = await services.database.find_all("items")
    assert items == []

async def test_get_item_by_id_returns_item(valid_item):
    services = get_services()
    item = await services.database.find_by_id("items", valid_item["id"])
    assert item is not None
    assert item["id"] == valid_item["id"]

async def test_get_item_by_id_returns_none_for_missing():
    services = get_services()
    item = await services.database.find_by_id("items", "nonexistent-id")
    assert item is None
# tests/test_validation.py
import pytest
from pydantic import ValidationError
from shared.validation import CreateItemRequest

def test_valid_create_item():
    item = CreateItemRequest(
        name="Widget", description="A widget", price=29.99, category="widgets"
    )
    assert item.name == "Widget"
    assert item.price == 29.99

def test_empty_name_fails():
    with pytest.raises(ValidationError):
        CreateItemRequest(name="", description="A widget", price=29.99, category="widgets")

def test_negative_price_fails():
    with pytest.raises(ValidationError):
        CreateItemRequest(name="Widget", description="A widget", price=-5.0, category="widgets")

def test_missing_required_fields():
    with pytest.raises(ValidationError):
        CreateItemRequest(description="Just a description")
# tests/test_error_handler.py
import json
from errors.error_types import NotFoundError, ValidationError, BadRequestError
from errors.error_handler import handle_error

def test_not_found_error_returns_404():
    error = NotFoundError("Item", "abc-123")
    response = handle_error(error)
    body = json.loads(response.get_body())

    assert response.status_code == 404
    assert body["error"]["code"] == "NOT_FOUND"
    assert "abc-123" in body["error"]["message"]

def test_validation_error_returns_422():
    error = ValidationError("Bad input", details=[{"field": "name", "message": "Required"}])
    response = handle_error(error)
    body = json.loads(response.get_body())

    assert response.status_code == 422
    assert body["error"]["code"] == "VALIDATION_ERROR"

def test_unknown_error_returns_500():
    error = RuntimeError("Something broke")
    response = handle_error(error)
    body = json.loads(response.get_body())

    assert response.status_code == 500
    assert body["error"]["code"] == "INTERNAL_ERROR"

def test_error_response_shape_is_consistent():
    errors = [
        NotFoundError("Item", "1"),
        ValidationError("Bad input"),
        BadRequestError("Bad request"),
        RuntimeError("Unknown"),
    ]
    for error in errors:
        response = handle_error(error)
        body = json.loads(response.get_body())
        assert "error" in body
        assert "code" in body["error"]
        assert "message" in body["error"]

Validation — Pydantic

Schema Definition

# shared/validation.py
from pydantic import BaseModel, Field
from typing import Optional

class CreateItemRequest(BaseModel):
    name: str = Field(min_length=1, max_length=255)
    description: Optional[str] = ""
    price: float = Field(gt=0)
    category: str = Field(min_length=1, max_length=100)

class UpdateItemRequest(BaseModel):
    name: Optional[str] = Field(None, min_length=1, max_length=255)
    description: Optional[str] = None
    price: Optional[float] = Field(None, gt=0)
    category: Optional[str] = Field(None, min_length=1, max_length=100)

class PaginationParams(BaseModel):
    limit: int = Field(20, ge=1, le=100)
    offset: int = Field(0, ge=0)

Structured Logging — structlog

Logger Setup

# logger.py
import structlog
import os
import logging

def setup_logging():
    log_level = os.environ.get("LOG_LEVEL", "INFO").upper()

    structlog.configure(
        processors=[
            structlog.contextvars.merge_contextvars,
            structlog.processors.add_log_level,
            structlog.processors.StackInfoRenderer(),
            structlog.dev.set_exc_info,
            structlog.processors.TimeStamper(fmt="iso"),
            structlog.dev.ConsoleRenderer()
            if os.environ.get("ENVIRONMENT") == "development"
            else structlog.processors.JSONRenderer(),
        ],
        wrapper_class=structlog.make_filtering_bound_logger(
            getattr(logging, log_level, logging.INFO)
        ),
        context_class=dict,
        logger_factory=structlog.PrintLoggerFactory(),
        cache_logger_on_first_use=True,
    )

def get_logger(name: str = "app"):
    return structlog.get_logger(name)

Request Logging

# middleware/request_logger.py
import time
from logger import get_logger

logger = get_logger("http")

def log_request(method: str, path: str, status_code: int, start_time: float):
    duration_ms = round((time.time() - start_time) * 1000, 2)
    logger.info(
        "request_completed",
        method=method,
        path=path,
        status=status_code,
        duration_ms=duration_ms,
    )

Shared Types

# shared/types.py
from pydantic import BaseModel
from typing import Optional, Any
from datetime import datetime

class Item(BaseModel):
    id: str
    name: str
    description: str
    price: float
    category: str
    created_at: datetime
    updated_at: datetime

class ListItemsResponse(BaseModel):
    items: list[Item]
    total: int

class SingleItemResponse(BaseModel):
    item: Item

class ErrorDetail(BaseModel):
    code: str
    message: str
    details: Optional[Any] = None

class ErrorResponse(BaseModel):
    error: ErrorDetail

class HealthResponse(BaseModel):
    status: str  # "healthy" | "degraded" | "unhealthy"
    services: dict[str, bool]

Dependencies Quick Reference

Core Dependencies

Package Purpose
azure-functions Azure Functions v2 runtime
pydantic Input validation & shared types
structlog Structured logging

Per Service

Service Package
Blob Storage azure-storage-blob
PostgreSQL psycopg2-binary
CosmosDB azure-cosmos
Redis redis
Migrations alembic, sqlalchemy

Dev Dependencies

Package Purpose
pytest Test runner
pytest-asyncio Async test support
pytest-cov Coverage reporting
ruff Linting + formatting
httpx HTTP client for request-level tests