docs: add ADR-024 for dynaconf configuration management

Propose migrating from manual os.getenv() calls to dynaconf for
file-based configuration. Key decisions: envvar_prefix=False for
backward compatibility, MCP_DEPLOYMENT_MODE as environment switcher,
TOML settings files with secret separation, and incremental migration
via adapter pattern.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Chris Coutinho
2026-04-05 13:43:23 +02:00
co-authored by Claude Opus 4.6
parent 15016ba2f1
commit e272a938df
@@ -0,0 +1,435 @@
# ADR-024: Dynaconf Configuration Management
**Status:** Proposed
**Date:** 2026-04-04
**Deciders:** Development Team
**Related:** ADR-020 (Deployment Modes), ADR-021 (Configuration Consolidation), ADR-022 (Login Flow v2)
## Context
The nextcloud-mcp-server configuration system has grown to ~80+ environment variables across five deployment modes. All configuration is loaded via manual `os.getenv()` calls in `config.py` (~60 calls in `get_settings()` alone) and `providers/registry.py`. This creates several problems:
### Problems Identified
1. **No file-based configuration option**: Every deployment requires setting environment variables. For complex deployments with 20+ variables (e.g., Keycloak + semantic search + observability), this is unwieldy and error-prone. There is no way to ship a "configuration profile" as a file.
2. **Configuration sprawl across multiple locations**: Environment variables are read in at least three places:
- `config.py:get_settings()` — Main settings (~60 vars)
- `config.py:get_document_processor_config()` — Document processing (~20 vars)
- `providers/registry.py:ProviderRegistry.create_provider()` — Embedding providers (~15 vars)
3. **No configuration file for local development**: Developers must either maintain a `.env` file and `export $(grep -v '^#' .env | xargs)`, or rely solely on docker-compose environment blocks. A structured settings file with defaults per deployment mode would simplify onboarding.
4. **Manual type coercion is repetitive and error-prone**: The codebase is littered with patterns like:
```python
os.getenv("SOME_BOOL", "false").lower() == "true"
int(os.getenv("SOME_INT", "300"))
float(os.getenv("SOME_FLOAT", "1.0"))
```
Each is a potential `ValueError` if a user provides a non-numeric string for an integer field.
5. **No structured validation at load time**: While `config_validators.py` validates mode requirements after loading, there is no validation of individual field types, ranges, or mutual exclusivity at parse time. Invalid values (e.g., `METRICS_PORT=abc`) only fail when first used.
6. **Secrets mixed with configuration**: `TOKEN_ENCRYPTION_KEY`, `NEXTCLOUD_PASSWORD`, `OPENAI_API_KEY`, and other secrets are treated identically to non-sensitive configuration, with no separation mechanism.
### Current Configuration Surface
| Category | Approx. Vars | Example |
|----------|-------------|---------|
| Core Nextcloud | 6 | `NEXTCLOUD_HOST`, `NEXTCLOUD_USERNAME`, `NEXTCLOUD_VERIFY_SSL` |
| OAuth/OIDC | 12 | `OIDC_DISCOVERY_URL`, `NEXTCLOUD_OIDC_CLIENT_ID`, `JWKS_URI` |
| Mode Selection | 4 | `MCP_DEPLOYMENT_MODE`, `ENABLE_LOGIN_FLOW`, `ENABLE_TOKEN_EXCHANGE` |
| Token Storage | 3 | `TOKEN_ENCRYPTION_KEY`, `TOKEN_STORAGE_DB` |
| Semantic Search | 6 | `ENABLE_SEMANTIC_SEARCH`, `VECTOR_SYNC_SCAN_INTERVAL` |
| Qdrant | 4 | `QDRANT_URL`, `QDRANT_LOCATION`, `QDRANT_API_KEY` |
| Embedding Providers | 15 | `OLLAMA_BASE_URL`, `OPENAI_API_KEY`, `BEDROCK_*` |
| Document Processing | 18 | `ENABLE_UNSTRUCTURED`, `TESSERACT_CMD`, `PYMUPDF_*` |
| Observability | 10 | `OTEL_EXPORTER_OTLP_ENDPOINT`, `LOG_FORMAT`, `METRICS_PORT` |
| Webhooks/Internal | 4 | `WEBHOOK_INTERNAL_URL`, `NEXTCLOUD_MCP_SERVICE_NAME` |
| **Total** | **~82** | |
## Decision
Adopt [dynaconf](https://www.dynaconf.com/) as the configuration management layer, enabling TOML file-based configuration alongside existing environment variable support.
### Why Dynaconf
| Criterion | Dynaconf | Pydantic Settings | python-dotenv |
|-----------|----------|-------------------|---------------|
| File-based config (TOML/YAML) | Yes (native) | No (needs extra) | `.env` only |
| Environment sections/profiles | Yes (`[default]`, `[production]`) | No | No |
| Env var override (12-factor) | Yes (built-in, highest priority) | Yes | Yes |
| Type coercion | Automatic (TOML parser) | Via type hints | No |
| Validators | Declarative + conditional | Via Pydantic | No |
| Secrets file separation | Yes (`.secrets.toml`) | No built-in | Separate `.env` |
| Local overrides | Yes (`settings.local.toml` auto-loaded) | No | No |
| Zero-prefix env vars | Yes (`envvar_prefix=False`) | Custom | N/A |
| Dependency | Pure Python, well-maintained | Heavy (Pydantic) | Minimal |
### Architecture
#### 1. Dynaconf Instance Configuration
```python
# nextcloud_mcp_server/config.py
from dynaconf import Dynaconf, Validator
settings = Dynaconf(
settings_files=["settings.toml", ".secrets.toml"],
environments=True,
env_switcher="MCP_DEPLOYMENT_MODE",
envvar_prefix=False,
load_dotenv=False,
ignore_unknown_envvars=True,
validators=[...], # See Section 4
)
```
Key choices:
- **`envvar_prefix=False`**: Existing env vars (`NEXTCLOUD_HOST`, `ENABLE_SEMANTIC_SEARCH`, etc.) work without any prefix. No renaming required.
- **`env_switcher="MCP_DEPLOYMENT_MODE"`**: Reuses the existing ADR-021 variable. Setting `MCP_DEPLOYMENT_MODE=single_user_basic` loads the `[single_user_basic]` TOML section on top of `[default]`.
- **`ignore_unknown_envvars=True`**: Only env vars matching keys defined in `settings.toml` or defaults are loaded. System env vars (`HOME`, `PATH`, `LANG`) are ignored.
- **`load_dotenv=False`**: We don't auto-load `.env` files to avoid surprising behavior. Users who want dotenv can use `direnv` or shell-level loading.
#### 2. Settings File Structure
**`settings.toml`** — Shipped with the project, checked into git:
```toml
[default]
# === Nextcloud Connection ===
nextcloud_host = ""
nextcloud_verify_ssl = true
nextcloud_ca_bundle = ""
# === Deployment Mode ===
# Auto-detected if not set. Valid: single_user_basic, multi_user_basic,
# oauth_single_audience, login_flow, keycloak
# mcp_deployment_mode = ""
# === Authentication Toggles ===
enable_multi_user_basic_auth = false
enable_login_flow = false
enable_token_exchange = false
# === Token Storage ===
token_storage_db = "/tmp/tokens.db"
# === Semantic Search ===
enable_semantic_search = false
vector_sync_scan_interval = 300
vector_sync_processor_workers = 3
vector_sync_queue_max_size = 10000
vector_sync_user_poll_interval = 60
# === Qdrant ===
qdrant_location = ":memory:"
qdrant_collection = "nextcloud_content"
# === Embedding Providers ===
ollama_embedding_model = "nomic-embed-text"
ollama_verify_ssl = true
openai_embedding_model = "text-embedding-3-small"
# === Document Chunking ===
document_chunk_size = 2048
document_chunk_overlap = 200
# === Document Processing ===
enable_document_processing = false
document_processor = "unstructured"
enable_pymupdf = true
pymupdf_extract_images = true
enable_unstructured = false
unstructured_api_url = "http://unstructured:8000"
unstructured_timeout = 120
unstructured_strategy = "auto"
unstructured_languages = "eng,deu"
enable_tesseract = false
tesseract_lang = "eng"
enable_custom_processor = false
custom_processor_name = "custom"
custom_processor_types = "application/pdf"
custom_processor_timeout = 60
# === Observability ===
metrics_enabled = true
metrics_port = 9090
otel_service_name = "nextcloud-mcp-server"
otel_traces_sampler = "always_on"
otel_traces_sampler_arg = 1.0
otel_exporter_verify_ssl = false
log_format = "text"
log_level = "INFO"
log_include_trace_context = true
# === Webhooks ===
nextcloud_mcp_service_name = "mcp"
nextcloud_mcp_port = 8000
# ─────────────────────────────────────────────
# Deployment Mode Overrides
# ─────────────────────────────────────────────
[single_user_basic]
# Credentials provided via env vars or .secrets.toml
# nextcloud_username = "" (in .secrets.toml)
# nextcloud_password = "" (in .secrets.toml)
[multi_user_basic]
enable_multi_user_basic_auth = true
token_storage_db = "/app/data/tokens.db"
[login_flow]
enable_login_flow = true
token_storage_db = "/app/data/tokens.db"
[keycloak]
enable_token_exchange = true
token_storage_db = "/app/data/tokens.db"
token_exchange_cache_ttl = 300
[oauth_single_audience]
token_storage_db = "/app/data/tokens.db"
```
**`.secrets.toml.example`** — Template, checked into git (actual `.secrets.toml` is gitignored):
```toml
[default]
# token_encryption_key = ""
[single_user_basic]
# nextcloud_username = ""
# nextcloud_password = ""
# nextcloud_app_password = ""
[keycloak]
# nextcloud_oidc_client_id = ""
# nextcloud_oidc_client_secret = ""
# token_encryption_key = ""
[login_flow]
# token_encryption_key = ""
```
**`settings.local.toml`** — Personal overrides, gitignored, auto-loaded by dynaconf:
```toml
# Example developer overrides
[default]
log_level = "DEBUG"
ollama_base_url = "http://localhost:11434"
```
#### 3. Configuration Loading Priority
Dynaconf merges configuration in this order (last wins):
```
1. settings.toml [default] section ← base defaults
2. settings.toml [<mode>] section ← mode-specific overrides
3. .secrets.toml [default] section ← base secrets
4. .secrets.toml [<mode>] section ← mode-specific secrets
5. settings.local.toml (all sections) ← developer overrides
6. Environment variables ← highest priority (12-factor)
```
This means:
- **File-based config is optional** — env vars alone still work (they override everything)
- **Mode-specific defaults reduce boilerplate** — `[login_flow]` sets `enable_login_flow=true` and `token_storage_db=/app/data/tokens.db` so deployers don't need to
- **Secrets are separated** — `.secrets.toml` holds `TOKEN_ENCRYPTION_KEY`, passwords, API keys
- **Local dev overrides don't pollute** — `settings.local.toml` is gitignored
#### 4. Dynaconf Validators
Replace repetitive `__post_init__` checks with declarative validators:
```python
validators = [
# Required for all modes
Validator("NEXTCLOUD_HOST", must_exist=True, when=Validator("MCP_DEPLOYMENT_MODE", ne="")),
# Type and range validation
Validator("METRICS_PORT", gte=1, lte=65535),
Validator("VECTOR_SYNC_SCAN_INTERVAL", gte=1),
Validator("VECTOR_SYNC_PROCESSOR_WORKERS", gte=1),
Validator("DOCUMENT_CHUNK_SIZE", gte=128),
Validator("DOCUMENT_CHUNK_OVERLAP", gte=0),
Validator("OTEL_TRACES_SAMPLER_ARG", gte=0.0, lte=1.0),
# Enum validation
Validator("LOG_FORMAT", is_in=["text", "json"]),
Validator("LOG_LEVEL", is_in=["DEBUG", "INFO", "WARNING", "ERROR"]),
Validator("OTEL_TRACES_SAMPLER", is_in=["always_on", "always_off", "parentbased_always_on", "parentbased_always_off", "traceidratio", "parentbased_traceidratio"]),
# Mutual exclusivity
Validator("QDRANT_URL", must_exist=False, when=Validator("QDRANT_LOCATION", must_exist=True)),
]
```
#### 5. Backward Compatibility: Deprecation Hooks
Deprecated env var names (`VECTOR_SYNC_ENABLED`, `ENABLE_OFFLINE_ACCESS`) are handled via a post-hook that runs after all sources are loaded:
```python
from dynaconf import hookable
@hookable.post # Runs after all settings are loaded
def handle_deprecations(settings):
"""Map deprecated variable names to current names (ADR-021 compatibility)."""
# VECTOR_SYNC_ENABLED -> ENABLE_SEMANTIC_SEARCH
if settings.exists("VECTOR_SYNC_ENABLED") and not settings.exists("ENABLE_SEMANTIC_SEARCH"):
settings.set("ENABLE_SEMANTIC_SEARCH", settings.VECTOR_SYNC_ENABLED)
logger.warning("VECTOR_SYNC_ENABLED is deprecated. Use ENABLE_SEMANTIC_SEARCH instead.")
# ENABLE_OFFLINE_ACCESS -> ENABLE_BACKGROUND_OPERATIONS
if settings.exists("ENABLE_OFFLINE_ACCESS") and not settings.exists("ENABLE_BACKGROUND_OPERATIONS"):
settings.set("ENABLE_BACKGROUND_OPERATIONS", settings.ENABLE_OFFLINE_ACCESS)
logger.warning("ENABLE_OFFLINE_ACCESS is deprecated. Use ENABLE_BACKGROUND_OPERATIONS instead.")
```
#### 6. Smart Dependency Resolution
The auto-enablement of `ENABLE_BACKGROUND_OPERATIONS` when semantic search is active in multi-user modes (existing behavior from ADR-021) is preserved as a post-hook:
```python
@hookable.post
def resolve_dependencies(settings):
"""Auto-enable background operations for semantic search in multi-user modes."""
is_multi_user = (
settings.get("ENABLE_MULTI_USER_BASIC_AUTH", False)
or settings.get("ENABLE_TOKEN_EXCHANGE", False)
or (not settings.get("NEXTCLOUD_USERNAME") and not settings.get("NEXTCLOUD_PASSWORD"))
)
if settings.get("ENABLE_SEMANTIC_SEARCH", False) and is_multi_user:
if not settings.get("ENABLE_BACKGROUND_OPERATIONS", False):
settings.set("ENABLE_BACKGROUND_OPERATIONS", True)
logger.info("Auto-enabled background operations for semantic search in multi-user mode.")
```
#### 7. Adapter Layer (Migration Bridge)
During migration, `get_settings()` continues to return the `Settings` dataclass, populated from dynaconf:
```python
from dynaconf import Dynaconf
_dynaconf = Dynaconf(...) # As configured above
def get_settings() -> Settings:
"""Get application settings — backed by dynaconf."""
return Settings(
deployment_mode=_dynaconf.get("MCP_DEPLOYMENT_MODE"),
nextcloud_host=_dynaconf.get("NEXTCLOUD_HOST"),
nextcloud_username=_dynaconf.get("NEXTCLOUD_USERNAME"),
# ... all fields populated from _dynaconf.get() instead of os.getenv()
)
```
This is a zero-risk change: every consumer of `get_settings()` sees the same `Settings` type. The dataclass can be removed in a later phase once all consumers migrate to `_dynaconf` directly.
#### 8. Mode Detection Preserved
`config_validators.py` is unchanged in this phase. `detect_auth_mode()` and `validate_configuration()` continue to operate on the `Settings` dataclass. The business logic for mode detection, conditional requirements, and forbidden variables is too complex for declarative validators and benefits from remaining as explicit Python code.
#### 9. Document Processor Config Integration
`get_document_processor_config()` currently reads ~20 env vars independently. It will be migrated to read from the same dynaconf instance, with document processor settings nested under the `[default]` section alongside all other settings.
#### 10. Provider Registry
`providers/registry.py:ProviderRegistry.create_provider()` reads ~15 env vars directly. It will be updated to accept a settings object or read from the dynaconf instance, consolidating all configuration into a single source.
### Docker Compose Impact
**Zero breaking changes.** All existing `environment:` blocks in `docker-compose.yml` continue to work because `envvar_prefix=False` means env vars map directly to setting keys.
**Optional enhancement:** Users can mount settings files for cleaner configuration:
```yaml
mcp:
volumes:
- ./settings.toml:/app/settings.toml:ro
- ./.secrets.toml:/app/.secrets.toml:ro
environment:
# Only override what differs from settings.toml
- MCP_DEPLOYMENT_MODE=single_user_basic
- LOG_LEVEL=DEBUG
```
## Migration Strategy
### Phase 1: Add Dynaconf Foundation
- Add `dynaconf` dependency to `pyproject.toml`
- Create `settings.toml` with `[default]` values matching current defaults
- Create `.secrets.toml.example` template
- Add `.secrets.toml` and `settings.local.toml` to `.gitignore`
- Initialize `Dynaconf` instance in `config.py`
### Phase 2: Wire Adapter
- Replace `os.getenv()` calls in `get_settings()` with `_dynaconf.get()` calls
- Replace `os.getenv()` calls in `get_document_processor_config()` similarly
- `Settings` dataclass and all consumers unchanged
- All tests pass without modification
### Phase 3: Add Validators
- Add dynaconf `Validator` instances for type checking, range validation, and enum constraints
- Remove corresponding manual checks from `Settings.__post_init__`
### Phase 4: Deprecation and Dependency Hooks
- Move `_get_semantic_search_enabled()`, `_get_background_operations_enabled()`, and `_is_multi_user_mode()` logic into dynaconf post-hooks
- Remove standalone helper functions
### Phase 5: Direct Dynaconf Access (Optional, Future)
- Gradually replace `get_settings().field` with `settings.FIELD` in consumers
- Remove `Settings` dataclass once all consumers migrated
- This is a larger refactor touching ~30 files and can be deferred
### Phase 6: Provider Registry Consolidation (Optional, Future)
- Update `ProviderRegistry.create_provider()` to read from dynaconf
- Eliminates the last pocket of direct `os.getenv()` calls
## Consequences
### Positive
- **File-based configuration** enables shipping deployment profiles, reducing per-deployment env var count from 15-25 to 1-3 overrides
- **Automatic type coercion** eliminates ~30 manual `int()`, `float()`, `.lower() == "true"` patterns and their potential `ValueError` exceptions
- **Declarative validation** catches invalid configuration at startup with clear error messages
- **Secret separation** via `.secrets.toml` provides a standard pattern for credential management
- **Local overrides** via `settings.local.toml` simplify developer workflows without polluting git
- **12-factor compliant** — env vars always win, files are optional
- **Zero breaking changes** in Phases 1-4
### Negative
- **New dependency** — `dynaconf` is a runtime dependency (~50KB, pure Python, well-maintained)
- **Two configuration systems during migration** — Phases 1-4 run dynaconf alongside the existing `Settings` dataclass
- **Learning curve** — Contributors must understand dynaconf's merge semantics and environment sections
- **`envvar_prefix=False` risk** — Without a prefix, any env var matching a setting key is loaded. Mitigated by `ignore_unknown_envvars=True` which restricts to pre-defined keys only
### Neutral
- **`config_validators.py` unchanged** — Mode detection and conditional validation remain as Python business logic. Dynaconf validators handle structural checks only.
- **Docker Compose files unchanged** — Existing `environment:` blocks work as-is. File mounting is optional.
## Alternatives Considered
### 1. Pydantic Settings
Pydantic v2's `BaseSettings` provides type validation and env var loading. However, it lacks native file-based configuration (TOML sections, environment switching, secrets files), which is the primary motivation for this change. It would also add a heavier dependency (Pydantic v2) that is not currently used in the project.
### 2. python-decouple
Supports `.env` and `.ini` files with type casting. Lacks environment sections, validators, secrets separation, and TOML support. Too limited for our needs.
### 3. Custom TOML Loader
Build a minimal TOML loader using `tomllib` (stdlib in Python 3.11+). This avoids a dependency but requires implementing validation, env var override, secrets separation, and environment switching from scratch — essentially rebuilding dynaconf.
### 4. Status Quo (Env Vars Only)
Continue with `os.getenv()`. Acceptable for small projects, but with 80+ variables across 5 deployment modes, the lack of file-based configuration, validation, and defaults per mode is a growing maintenance burden.
## References
- [Dynaconf Documentation](https://www.dynaconf.com/)
- [12-Factor App: Config](https://12factor.net/config)
- ADR-020: Deployment Modes and Configuration Validation
- ADR-021: Configuration Consolidation and Simplification
- ADR-022: Login Flow v2