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mcp-nextcloud/tests/unit/test_config.py
T
Chris CoutinhoandClaude Opus 4.8 cf7209cd85 fix(document-processors): escalate glyph-corrupt PDFs to the structured tier 
The fast (pypdfium2) extractor can leak raw glyph codes on subset fonts with a
broken /ToUnicode CMap. The result scores high on the existing text-quality
heuristic -- a uniform glyph/Caesar offset preserves whitespace and token
lengths -- yet is unsearchable. The structured (pymupdf) tier extracts the same
pages correctly.

Add a language-agnostic C0-control-character-ratio signal to the tier-0
classifier that detects this corruption and routes the document to a new
`structured` recommended_tier. Wire the fast->structured hop on the inline path
and generalise it so a low-quality-but-non-empty layer also tries structured
before OCR -- the inline and external ingest modes now follow the full
fast->structured->ocr ladder identically. A scanned / no-text-layer document
(total_chars == 0) still shortcuts straight to OCR, since a text extractor
cannot recover a pure raster.

New per-tenant tunable DOCUMENT_GLYPH_CORRUPTION_RATIO (default 0.02); escalation
metrics gain a `corrupt_glyphs` reason label.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-16 20:06:35 +02:00

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"""Tests for configuration validation."""
import logging
import os
from unittest.mock import patch
import pytest
from nextcloud_mcp_server.config import Settings, _reload_config, get_settings
class TestQdrantConfigValidation:
"""Test Qdrant configuration validation."""
def test_mutually_exclusive_url_and_location(self):
"""Test that setting both QDRANT_URL and QDRANT_LOCATION raises ValueError."""
with pytest.raises(
ValueError,
match="Cannot set both QDRANT_URL and QDRANT_LOCATION",
):
Settings(
qdrant_url="http://qdrant:6333",
qdrant_location="/app/data/qdrant",
)
def test_default_to_memory_mode(self):
"""Test that :memory: is used when neither URL nor location is set."""
settings = Settings()
assert settings.qdrant_location == ":memory:"
assert settings.qdrant_url is None
def test_network_mode_only(self):
"""Test network mode with only URL set."""
settings = Settings(qdrant_url="http://qdrant:6333")
assert settings.qdrant_url == "http://qdrant:6333"
assert settings.qdrant_location is None
def test_local_mode_only(self):
"""Test local mode with only location set."""
settings = Settings(qdrant_location="/app/data/qdrant")
assert settings.qdrant_location == "/app/data/qdrant"
assert settings.qdrant_url is None
def test_in_memory_mode_explicit(self):
"""Test explicit in-memory mode."""
settings = Settings(qdrant_location=":memory:")
assert settings.qdrant_location == ":memory:"
assert settings.qdrant_url is None
def test_api_key_warning_in_local_mode(self, caplog):
"""Test that API key in local mode triggers warning."""
caplog.set_level(logging.WARNING, logger="nextcloud_mcp_server.config")
Settings(
qdrant_location=":memory:",
qdrant_api_key="test-api-key",
)
assert "API key is only relevant for network mode" in caplog.text
def test_api_key_no_warning_in_network_mode(self, caplog):
"""Test that API key in network mode doesn't trigger warning."""
caplog.set_level(logging.WARNING, logger="nextcloud_mcp_server.config")
Settings(
qdrant_url="http://qdrant:6333",
qdrant_api_key="test-api-key",
)
assert "API key is only relevant for network mode" not in caplog.text
class TestGetSettings:
"""Test get_settings() function with environment variables."""
@patch.dict(os.environ, {}, clear=True)
def test_get_settings_defaults_to_memory(self):
"""Test get_settings() defaults to :memory: when no env vars set."""
_reload_config()
settings = get_settings()
assert settings.qdrant_location == ":memory:"
assert settings.qdrant_url is None
@patch.dict(
os.environ,
{
"QDRANT_URL": "http://qdrant:6333",
"QDRANT_API_KEY": "test-key",
},
clear=True,
)
def test_get_settings_network_mode(self):
"""Test get_settings() with network mode env vars."""
_reload_config()
settings = get_settings()
assert settings.qdrant_url == "http://qdrant:6333"
assert settings.qdrant_api_key == "test-key"
assert settings.qdrant_location is None
@patch.dict(
os.environ,
{
"NEXTCLOUD_OIDC_TOKEN_TYPE": "jwt",
"NEXTCLOUD_OIDC_SCOPES": "openid profile",
},
clear=True,
)
def test_get_settings_oidc_token_type_and_scopes_from_env(self):
"""NEXTCLOUD_OIDC_TOKEN_TYPE / _SCOPES must reach settings (regression).
The settings migration first registered these under _DEFAULTS keys that
uppercased to OIDC_* instead of NEXTCLOUD_OIDC_*, so dynaconf silently
ignored the env vars and always returned the defaults.
"""
_reload_config()
settings = get_settings()
assert settings.oidc_token_type == "jwt"
assert settings.oidc_scopes == "openid profile"
@patch.dict(
os.environ,
{
"DOCUMENT_OCR_MODE": "batch",
"DOCUMENT_OCR_BATCH_POLL_SECONDS": "45",
"DOCUMENT_OCR_BATCH_MAX_WAIT_SECONDS": "3600",
},
clear=True,
)
def test_get_settings_ocr_batch_mode_from_env(self):
"""DOCUMENT_OCR_MODE / batch tuning must reach settings (regression).
These were added to _DEFAULTS + the Settings dataclass but initially
omitted from _field_map, so dynaconf silently ignored the env vars and
batch mode could never be enabled in production (Deck #332).
"""
_reload_config()
settings = get_settings()
assert settings.document_ocr_mode == "batch"
assert settings.document_ocr_batch_poll_seconds == 45
assert settings.document_ocr_batch_max_wait_seconds == 3600
@patch.dict(os.environ, {"DOCUMENT_OCR_MODE": "Batch"}, clear=True)
def test_document_ocr_mode_case_normalised(self):
"""DOCUMENT_OCR_MODE is case-insensitive (normalised in __post_init__ via
_enum_fields, like DOCUMENT_OCR_PROVIDER) — "Batch" -> "batch"."""
_reload_config()
assert get_settings().document_ocr_mode == "batch"
@patch.dict(os.environ, {"DOCUMENT_OCR_MODE": "bogus"}, clear=True)
def test_document_ocr_mode_invalid_rejected(self):
_reload_config()
with pytest.raises(ValueError, match="DOCUMENT_OCR_MODE"):
get_settings()
@patch.dict(
os.environ,
{"QDRANT_LOCATION": "/app/data/qdrant"},
clear=True,
)
def test_get_settings_persistent_mode(self):
"""Test get_settings() with persistent local mode env vars."""
_reload_config()
settings = get_settings()
assert settings.qdrant_location == "/app/data/qdrant"
assert settings.qdrant_url is None
@patch.dict(
os.environ,
{"QDRANT_LOCATION": ":memory:"},
clear=True,
)
def test_get_settings_explicit_memory(self):
"""Test get_settings() with explicit :memory: env var."""
_reload_config()
settings = get_settings()
assert settings.qdrant_location == ":memory:"
assert settings.qdrant_url is None
@patch.dict(
os.environ,
{
"QDRANT_URL": "http://qdrant:6333",
"QDRANT_LOCATION": "/app/data/qdrant",
},
clear=True,
)
def test_get_settings_mutual_exclusion_error(self):
"""Test get_settings() raises error when both URL and location set."""
_reload_config()
with pytest.raises(
ValueError,
match="Cannot set both QDRANT_URL and QDRANT_LOCATION",
):
get_settings()
@patch.dict(
os.environ,
{
"QDRANT_COLLECTION": "test_collection",
"VECTOR_SYNC_ENABLED": "true",
"VECTOR_SYNC_SCAN_INTERVAL": "600",
"VECTOR_SYNC_PROCESSOR_WORKERS": "5",
"VECTOR_SYNC_QUEUE_MAX_SIZE": "5000",
},
clear=True,
)
def test_get_settings_vector_sync_config(self):
"""Test get_settings() with vector sync configuration."""
_reload_config()
settings = get_settings()
assert settings.qdrant_collection == "test_collection"
assert settings.vector_sync_enabled is True
assert settings.vector_sync_scan_interval == 600
assert settings.vector_sync_processor_workers == 5
assert settings.vector_sync_queue_max_size == 5000
@patch.dict(os.environ, {}, clear=True)
def test_usage_metering_disabled_by_default(self):
"""USAGE_METERING_ENABLED defaults to False (OSS doesn't self-monitor)."""
_reload_config()
assert get_settings().usage_metering_enabled is False
@patch.dict(os.environ, {"USAGE_METERING_ENABLED": "true"}, clear=True)
def test_usage_metering_enabled_via_env(self):
"""USAGE_METERING_ENABLED=true maps to settings.usage_metering_enabled."""
_reload_config()
assert get_settings().usage_metering_enabled is True
class TestChunkConfigValidation:
"""Test document chunking configuration validation."""
def test_default_chunk_settings(self):
"""Test default chunk size and overlap values."""
settings = Settings()
assert settings.document_chunk_size == 2048
assert settings.document_chunk_overlap == 200
def test_page_aware_enabled_by_default(self):
"""Page-aware chunking is on by default."""
assert Settings().document_chunk_page_aware is True
@patch.dict(
os.environ,
{"DOCUMENT_CHUNK_PAGE_AWARE": "false"},
clear=True,
)
def test_page_aware_disabled_via_env(self):
"""DOCUMENT_CHUNK_PAGE_AWARE=false disables page-aware chunking."""
_reload_config()
assert get_settings().document_chunk_page_aware is False
def test_ocr_timeout_default_and_env_override(self):
"""document_ocr_timeout_seconds defaults to 180 and reads its env var.
Guards the _DEFAULTS-key-must-match-env-var footgun: a mismatch would
leave the override silently ignored.
"""
assert Settings().document_ocr_timeout_seconds == pytest.approx(180.0)
with patch.dict(os.environ, {"DOCUMENT_OCR_TIMEOUT_SECONDS": "45"}, clear=True):
_reload_config()
assert get_settings().document_ocr_timeout_seconds == pytest.approx(45.0)
def test_max_pdf_size_default_and_env_override(self):
"""document_max_pdf_size_mb defaults to 50 and reads its env var."""
assert Settings().document_max_pdf_size_mb == pytest.approx(50.0)
with patch.dict(os.environ, {"DOCUMENT_MAX_PDF_SIZE_MB": "12.5"}, clear=True):
_reload_config()
assert get_settings().document_max_pdf_size_mb == pytest.approx(12.5)
def test_glyph_corruption_ratio_default_and_env_override(self):
"""document_glyph_corruption_ratio defaults to 0.02 and reads its env var.
Guards the _DEFAULTS-key-must-match-env-var footgun.
"""
assert Settings().document_glyph_corruption_ratio == pytest.approx(0.02)
with patch.dict(
os.environ, {"DOCUMENT_GLYPH_CORRUPTION_RATIO": "0.05"}, clear=True
):
_reload_config()
assert get_settings().document_glyph_corruption_ratio == pytest.approx(0.05)
@patch.dict(
os.environ,
{"DOCUMENT_GLYPH_CORRUPTION_RATIO": "1.5"},
clear=True,
)
def test_glyph_corruption_ratio_out_of_range_raises_error(self):
"""The ratio must be within [0, 1]."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="DOCUMENT_GLYPH_CORRUPTION_RATIO"):
_reload_config()
def test_valid_chunk_settings(self):
"""Test valid chunk size and overlap configuration."""
settings = Settings(
document_chunk_size=1024,
document_chunk_overlap=100,
)
assert settings.document_chunk_size == 1024
assert settings.document_chunk_overlap == 100
def test_overlap_greater_than_or_equal_to_chunk_size_raises_error(self):
"""Test that overlap >= chunk size raises ValueError."""
with pytest.raises(
ValueError,
match="DOCUMENT_CHUNK_OVERLAP .* must be less than DOCUMENT_CHUNK_SIZE",
):
Settings(
document_chunk_size=512,
document_chunk_overlap=512,
)
def test_overlap_larger_than_chunk_size_raises_error(self):
"""Test that overlap > chunk size raises ValueError."""
with pytest.raises(
ValueError,
match="DOCUMENT_CHUNK_OVERLAP .* must be less than DOCUMENT_CHUNK_SIZE",
):
Settings(
document_chunk_size=256,
document_chunk_overlap=300,
)
@patch.dict(
os.environ,
{"DOCUMENT_CHUNK_OVERLAP": "-10"},
clear=True,
)
def test_negative_overlap_raises_error(self):
"""Test that negative overlap raises ValidationError via dynaconf."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="DOCUMENT_CHUNK_OVERLAP"):
_reload_config()
def test_small_chunk_size_warning(self, caplog):
"""Test that chunk size < 512 triggers warning."""
caplog.set_level(logging.WARNING, logger="nextcloud_mcp_server.config")
Settings(
document_chunk_size=64,
document_chunk_overlap=10,
)
assert (
"DOCUMENT_CHUNK_SIZE is set to 64 characters, which is quite small"
in caplog.text
)
assert "Consider using at least 1024 characters" in caplog.text
def test_reasonable_chunk_size_no_warning(self, caplog):
"""Test that chunk size >= 512 doesn't trigger warning."""
caplog.set_level(logging.WARNING, logger="nextcloud_mcp_server.config")
Settings(
document_chunk_size=1024,
document_chunk_overlap=100,
)
assert "DOCUMENT_CHUNK_SIZE" not in caplog.text
@patch.dict(
os.environ,
{
"DOCUMENT_CHUNK_SIZE": "1024",
"DOCUMENT_CHUNK_OVERLAP": "102",
},
clear=True,
)
def test_get_settings_chunk_config(self):
"""Test get_settings() with chunk configuration."""
_reload_config()
settings = get_settings()
assert settings.document_chunk_size == 1024
assert settings.document_chunk_overlap == 102
@patch.dict(
os.environ,
{
"DOCUMENT_CHUNK_SIZE": "256",
"DOCUMENT_CHUNK_OVERLAP": "256",
},
clear=True,
)
def test_get_settings_invalid_chunk_config_raises_error(self):
"""Test get_settings() raises error for invalid chunk config."""
_reload_config()
with pytest.raises(
ValueError,
match="DOCUMENT_CHUNK_OVERLAP .* must be less than DOCUMENT_CHUNK_SIZE",
):
get_settings()
class TestEmbeddingModelName:
"""Test get_embedding_model_name() method."""
def test_openai_takes_priority(self):
"""Test that OpenAI model is returned when OPENAI_API_KEY is set."""
settings = Settings(
openai_api_key="test-key",
openai_embedding_model="text-embedding-3-large",
ollama_base_url="http://ollama:11434",
ollama_embedding_model="nomic-embed-text",
)
assert settings.get_embedding_model_name() == "text-embedding-3-large"
def test_ollama_used_when_no_openai(self):
"""Test that Ollama model is returned when no OpenAI configured."""
settings = Settings(
ollama_base_url="http://ollama:11434",
ollama_embedding_model="all-minilm",
)
assert settings.get_embedding_model_name() == "all-minilm"
def test_simple_fallback(self):
"""Test fallback to simple provider when nothing configured."""
settings = Settings()
assert settings.get_embedding_model_name() == "simple-384"
@patch.dict(
os.environ,
{
"OPENAI_API_KEY": "test-openai-key",
"OPENAI_EMBEDDING_MODEL": "openai/text-embedding-3-small",
},
clear=True,
)
def test_get_settings_openai_model(self):
"""Test get_settings() loads OpenAI embedding model."""
_reload_config()
settings = get_settings()
assert settings.openai_api_key == "test-openai-key"
assert settings.openai_embedding_model == "openai/text-embedding-3-small"
assert settings.get_embedding_model_name() == "openai/text-embedding-3-small"
class TestCollectionNameWithProviders:
"""Test get_collection_name() with different providers."""
def test_collection_name_with_openai(self):
"""Test collection name uses OpenAI model when configured."""
settings = Settings(
openai_api_key="test-key",
openai_embedding_model="text-embedding-3-small",
otel_service_name="my-deployment",
)
assert settings.get_collection_name() == "my-deployment-text-embedding-3-small"
def test_collection_name_with_github_models(self):
"""Test collection name sanitizes GitHub Models prefix."""
settings = Settings(
openai_api_key="ghp_test",
openai_embedding_model="openai/text-embedding-3-small",
otel_service_name="my-deployment",
)
# Slashes should be replaced with dashes
assert (
settings.get_collection_name()
== "my-deployment-openai-text-embedding-3-small"
)
def test_collection_name_with_ollama(self):
"""Test collection name uses Ollama model when no OpenAI."""
settings = Settings(
ollama_base_url="http://ollama:11434",
ollama_embedding_model="nomic-embed-text",
otel_service_name="my-deployment",
)
assert settings.get_collection_name() == "my-deployment-nomic-embed-text"
def test_collection_name_explicit_override(self):
"""Test explicit QDRANT_COLLECTION overrides auto-generation."""
settings = Settings(
qdrant_collection="custom-collection",
openai_api_key="test-key",
openai_embedding_model="text-embedding-3-large",
)
assert settings.get_collection_name() == "custom-collection"
class TestDynaconfValidators:
"""Test dynaconf declarative validators (ADR-024 Phase 3)."""
@patch.dict(os.environ, {"METRICS_PORT": "0"}, clear=True)
def test_metrics_port_too_low(self):
"""Test METRICS_PORT below minimum raises ValidationError."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="METRICS_PORT"):
_reload_config()
@patch.dict(os.environ, {"METRICS_PORT": "99999"}, clear=True)
def test_metrics_port_too_high(self):
"""Test METRICS_PORT above maximum raises ValidationError."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="METRICS_PORT"):
_reload_config()
@patch.dict(os.environ, {"LOG_FORMAT": "xml"}, clear=True)
def test_invalid_log_format(self):
"""Test invalid LOG_FORMAT raises ValidationError."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="LOG_FORMAT"):
_reload_config()
@patch.dict(os.environ, {"DOCUMENT_OCR_MIN_TEXT_QUALITY": "1.5"}, clear=True)
def test_ocr_min_text_quality_out_of_range(self):
"""DOCUMENT_OCR_MIN_TEXT_QUALITY must be in [0, 1]."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="DOCUMENT_OCR_MIN_TEXT_QUALITY"):
_reload_config()
@patch.dict(os.environ, {"DOCUMENT_OCR_PAGE_FRACTION": "2"}, clear=True)
def test_ocr_page_fraction_out_of_range(self):
"""DOCUMENT_OCR_PAGE_FRACTION must be in [0, 1]."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="DOCUMENT_OCR_PAGE_FRACTION"):
_reload_config()
@patch.dict(os.environ, {"DOCUMENT_OCR_MIN_PAGE_CHARS": "-1"}, clear=True)
def test_ocr_min_page_chars_negative(self):
"""DOCUMENT_OCR_MIN_PAGE_CHARS must be non-negative."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="DOCUMENT_OCR_MIN_PAGE_CHARS"):
_reload_config()
@patch.dict(os.environ, {"LOG_LEVEL": "VERBOSE"}, clear=True)
def test_invalid_log_level(self):
"""Test invalid LOG_LEVEL raises ValidationError."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="LOG_LEVEL"):
_reload_config()
@patch.dict(os.environ, {"OTEL_TRACES_SAMPLER": "random"}, clear=True)
def test_invalid_otel_sampler(self):
"""Test invalid OTEL_TRACES_SAMPLER raises ValidationError."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="OTEL_TRACES_SAMPLER"):
_reload_config()
@patch.dict(os.environ, {"WEBHOOK_SECRET": "short"}, clear=True)
def test_webhook_secret_too_short(self):
"""A set WEBHOOK_SECRET shorter than 16 chars raises ValidationError
(GHSA-8vh3-g2qg-2h2c hardening — reject weak/placeholder secrets at
startup)."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="WEBHOOK_SECRET"):
_reload_config()
@patch.dict(
os.environ, {"WEBHOOK_SECRET": "a-sufficiently-long-secret"}, clear=True
)
def test_webhook_secret_long_enough_is_accepted(self):
"""A WEBHOOK_SECRET of >=16 chars passes validation."""
_reload_config()
assert get_settings().webhook_secret == "a-sufficiently-long-secret"
@patch.dict(os.environ, {"OTEL_TRACES_SAMPLER_ARG": "2.0"}, clear=True)
def test_sampler_arg_too_high(self):
"""Test OTEL_TRACES_SAMPLER_ARG above 1.0 raises ValidationError."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="OTEL_TRACES_SAMPLER_ARG"):
_reload_config()
@patch.dict(os.environ, {"VECTOR_SYNC_SCAN_INTERVAL": "0"}, clear=True)
def test_vector_sync_interval_zero(self):
"""Test zero VECTOR_SYNC_SCAN_INTERVAL raises ValidationError."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="VECTOR_SYNC_SCAN_INTERVAL"):
_reload_config()
@patch.dict(os.environ, {"DOCUMENT_CHUNK_SIZE": "0"}, clear=True)
def test_chunk_size_zero(self):
"""Test zero DOCUMENT_CHUNK_SIZE raises ValidationError."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="DOCUMENT_CHUNK_SIZE"):
_reload_config()
@patch.dict(os.environ, {"DOCUMENT_OCR_TIMEOUT_SECONDS": "0"}, clear=True)
def test_ocr_timeout_zero_rejected(self):
"""DOCUMENT_OCR_TIMEOUT_SECONDS=0 fails the gte=1 validator."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="DOCUMENT_OCR_TIMEOUT_SECONDS"):
_reload_config()
@patch.dict(os.environ, {"DOCUMENT_MAX_PDF_SIZE_MB": "-1"}, clear=True)
def test_max_pdf_size_negative_rejected(self):
"""DOCUMENT_MAX_PDF_SIZE_MB=-1 fails the gte=0 validator (0 = disabled)."""
from dynaconf import ValidationError
with pytest.raises(ValidationError, match="DOCUMENT_MAX_PDF_SIZE_MB"):
_reload_config()
@patch.dict(os.environ, {"METRICS_PORT": "8080"}, clear=True)
def test_valid_metrics_port(self):
"""Test valid METRICS_PORT passes validation."""
_reload_config()
settings = get_settings()
assert settings.metrics_port == 8080
@patch.dict(os.environ, {"LOG_FORMAT": "json"}, clear=True)
def test_valid_log_format_json(self):
"""Test valid LOG_FORMAT=json passes validation."""
_reload_config()
settings = get_settings()
assert settings.log_format == "json"
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