diff --git a/metro-ai-suite/smart-nvr/.coveragerc b/metro-ai-suite/smart-nvr/.coveragerc new file mode 100644 index 000000000..c130664e8 --- /dev/null +++ b/metro-ai-suite/smart-nvr/.coveragerc @@ -0,0 +1,14 @@ +[run] +branch = True +source = src, ui +omit = + ui/interface/interface.py + */__init__.py + +[report] +show_missing = True +skip_covered = True +exclude_lines = + pragma: no cover + if __name__ == .__main__.: + ^\s*pass$ diff --git a/metro-ai-suite/smart-nvr/build.sh b/metro-ai-suite/smart-nvr/build.sh index 0174fd8e9..1f95f3d8e 100755 --- a/metro-ai-suite/smart-nvr/build.sh +++ b/metro-ai-suite/smart-nvr/build.sh @@ -1,4 +1,50 @@ -#!/bin/bash +#!/usr/bin/env bash +set -euo pipefail + +# --- Color helpers (only if stdout is a TTY) --- +if [ -t 1 ]; then + YELLOW='\033[1;33m'; GREEN='\033[0;32m'; RED='\033[0;31m'; CYAN='\033[0;36m'; NC='\033[0m' +else + YELLOW=''; GREEN=''; RED=''; CYAN=''; NC='' +fi + +usage() { + cat <<'EOF' +Build the nvr-event-router multi-mode image. + +Environment variables: + REGISTRY_URL Optional registry prefix (e.g. registry.local:5000) + PROJECT_NAME Optional project namespace/repo (e.g. myteam) + TAG Image tag (default: latest) + ADD_COPYLEFT_SOURCES=true Include copyleft source collection layer + http_proxy / https_proxy / no_proxy Proxy settings passed as build args + +Flags: + -t Override TAG + --push Push image after successful build + --nocache Disable layer cache + -h|--help Show this help +EOF +} + +PUSH=false +NOCACHE=false + +while [[ $# -gt 0 ]]; do + case "$1" in + -t) + TAG="$2"; shift 2 ;; + --push) + PUSH=true; shift ;; + --nocache) + NOCACHE=true; shift ;; + -h|--help) + usage; exit 0 ;; + *) + echo -e "${RED}Unknown argument: $1${NC}" >&2 + usage; exit 1 ;; + esac +done export REGISTRY_URL=${REGISTRY_URL:-} export PROJECT_NAME=${PROJECT_NAME:-} @@ -7,37 +53,71 @@ export TAG=${TAG:-latest} [[ -n "$REGISTRY_URL" ]] && REGISTRY_URL="${REGISTRY_URL%/}/" [[ -n "$PROJECT_NAME" ]] && PROJECT_NAME="${PROJECT_NAME%/}/" REGISTRY="${REGISTRY_URL}${PROJECT_NAME}" - export REGISTRY="${REGISTRY:-}" -# Display info about the registry being used +if ! command -v docker >/dev/null 2>&1; then + echo -e "${RED}docker not found in PATH. Aborting.${NC}" >&2 + exit 1 +fi + +DOCKERFILE_PATH="docker/Dockerfile" +if [ ! -f "$DOCKERFILE_PATH" ]; then + echo -e "${RED}Dockerfile not found at $DOCKERFILE_PATH${NC}" >&2 + exit 1 +fi + if [ -z "$REGISTRY" ]; then - echo -e "${YELLOW}Warning: No registry prefix set. Images will be tagged without a registry prefix.${NC}" - echo "Using local image names with tag: ${TAG}" + echo -e "${YELLOW}Warning: No registry prefix set. Images will be tagged locally.${NC}" else - echo "Using registry prefix: ${REGISTRY}" + echo -e "${CYAN}Using registry prefix:${NC} ${REGISTRY}" fi -# Set the tag value -tag="${REGISTRY}nvr-event-router:${TAG}" +IMAGE_NAME="${REGISTRY}nvr-event-router:${TAG}" +echo -e "${CYAN}Building image:${NC} ${IMAGE_NAME}" -echo "Building $tag image..." +BUILD_ARGS=( ) -BUILD_ARGS="" -if [ -n "${http_proxy}" ]; then - BUILD_ARGS="${BUILD_ARGS} --build-arg http_proxy=${http_proxy}" +# Proxy build args (both lower + upper so Dockerfile ARGs can map either way) +for VAR in http_proxy https_proxy no_proxy HTTP_PROXY HTTPS_PROXY NO_PROXY; do + VAL="${!VAR:-}" || true + if [ -n "$VAL" ]; then + BUILD_ARGS+=("--build-arg" "${VAR}=${VAL}") + fi +done + +# Copyleft toggle +if [ "${ADD_COPYLEFT_SOURCES:-}" = "true" ]; then + BUILD_ARGS+=("--build-arg" "COPYLEFT_SOURCES=true") fi -if [ -n "${https_proxy}" ]; then - BUILD_ARGS="${BUILD_ARGS} --build-arg https_proxy=${https_proxy}" + +# Optional no-cache +if $NOCACHE; then + BUILD_ARGS+=("--no-cache") fi -if [ -n "${no_proxy}" ]; then - BUILD_ARGS="${BUILD_ARGS} --build-arg no_proxy=${no_proxy}" + +echo -e "${CYAN}Docker build args:${NC} ${BUILD_ARGS[*]:-(none)}" + +# Enable BuildKit if not already +export DOCKER_BUILDKIT=${DOCKER_BUILDKIT:-1} + +set -x +docker build "${BUILD_ARGS[@]}" -t "${IMAGE_NAME}" -f "$DOCKERFILE_PATH" . +set +x + +if docker images --format '{{.Repository}}:{{.Tag}}' | grep -q "^${IMAGE_NAME}$"; then + echo -e "${GREEN}Image ${IMAGE_NAME} built successfully.${NC}" +else + echo -e "${RED}Image ${IMAGE_NAME} build appears to have failed.${NC}" >&2 + exit 1 fi -# Add copyleft sources build arg if environment variable is set -if [ "$ADD_COPYLEFT_SOURCES" = "true" ]; then -BUILD_ARGS="$BUILD_ARGS --build-arg COPYLEFT_SOURCES=true" +if $PUSH; then + if [ -z "$REGISTRY" ]; then + echo -e "${RED}Cannot push: REGISTRY_URL / PROJECT_NAME not set (image has no remote prefix).${NC}" >&2 + exit 1 + fi + echo -e "${CYAN}Pushing image:${NC} ${IMAGE_NAME}" + docker push "${IMAGE_NAME}" fi -docker build ${BUILD_ARGS} -t "${tag}" -f docker/Dockerfile . -docker images | grep "$tag" && echo "Image ${tag} built successfully." +echo -e "${GREEN}Done.${NC}" diff --git a/metro-ai-suite/smart-nvr/docker/compose.yaml b/metro-ai-suite/smart-nvr/docker/compose.yaml index e533eb149..4d6f96d73 100755 --- a/metro-ai-suite/smart-nvr/docker/compose.yaml +++ b/metro-ai-suite/smart-nvr/docker/compose.yaml @@ -23,6 +23,7 @@ services: tmpfs: size: 1000000000 # 1GB cache - ../resources/videos:/videos # Add volume for video files + - ../frigate-clips:/media/frigate/recordings # Shared volume for Frigate output clips depends_on: mqtt-broker: condition: service_healthy @@ -48,6 +49,7 @@ services: - nvr-network volumes: - ../src:/app + - ../frigate-clips:/media/frigate/recordings # Shared volume for watcher to access Frigate recordings - /etc/localtime:/etc/localtime:ro - /etc/timezone:/etc/timezone:ro depends_on: diff --git a/metro-ai-suite/smart-nvr/docs/user-guide/_images/configure_camera_streaming.png b/metro-ai-suite/smart-nvr/docs/user-guide/_images/configure_camera_streaming.png new file mode 100644 index 000000000..8e16272b1 Binary files /dev/null and b/metro-ai-suite/smart-nvr/docs/user-guide/_images/configure_camera_streaming.png differ diff --git a/metro-ai-suite/smart-nvr/docs/user-guide/api-docs/smart-nvr.yaml b/metro-ai-suite/smart-nvr/docs/user-guide/api-docs/smart-nvr.yaml index a0c1142a7..26c0207fe 100644 --- a/metro-ai-suite/smart-nvr/docs/user-guide/api-docs/smart-nvr.yaml +++ b/metro-ai-suite/smart-nvr/docs/user-guide/api-docs/smart-nvr.yaml @@ -407,6 +407,72 @@ paths: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' + '/watchers/enable': + post: + summary: Enable/disable directory watcher for cameras + description: >- + Enable or disable directory watchers for one or more cameras. Accepts a list + of objects where each object maps a single camera name to a boolean flag + indicating whether the watcher should be enabled (true) or disabled (false). + Returns the merged mapping after persistence along with convenience lists + of enabled and disabled camera names. + operationId: set_camera_watchers_watchers_enable_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/CameraWatcherRequest' + responses: + '200': + description: Updated watcher mapping + content: + application/json: + schema: + $ref: '#/components/schemas/CameraWatcherUpdateResponse' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + get: + summary: Alias to fetch current watcher mapping (GET) + description: >- + Convenience alias for GET /watchers/mapping. Provided so clients that + probe the POST endpoint with a GET will receive the current mapping + state instead of an error. + operationId: get_camera_watcher_mapping_alias_watchers_enable_get + responses: + '200': + description: Current watcher mapping + content: + application/json: + schema: + $ref: '#/components/schemas/CameraWatcherMappingResponse' + '/watchers/mapping': + get: + summary: Get current camera watcher enable/disable mapping + description: >- + Returns the merged camera watcher mapping. Merge order / precedence: + 1) Persisted Redis mapping (authoritative across restarts) + 2) In-memory runtime overrides (reflects changes since process start) + If Redis is unavailable, only the in-memory mapping is returned and a + warning field MAY be included. + operationId: get_camera_watcher_mapping_watchers_mapping_get + responses: + '200': + description: Current watcher mapping (and optional warning) + content: + application/json: + schema: + $ref: '#/components/schemas/CameraWatcherMappingResponse' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' /: get: summary: Root @@ -492,3 +558,56 @@ components: - msg - type title: ValidationError + CameraWatcherRequest: + type: object + title: CameraWatcherRequest + required: + - cameras + properties: + cameras: + type: array + description: >- + List of per-camera mapping objects. Each object maps a single camera + name (string) to a boolean indicating whether its watcher should be + enabled (true) or disabled (false). + items: + type: object + additionalProperties: + type: boolean + CameraWatcherUpdateResponse: + type: object + title: CameraWatcherUpdateResponse + properties: + mapping: + type: object + description: Final persisted mapping of camera name to enabled flag. + additionalProperties: + type: boolean + enabled: + type: array + description: List of camera names whose watcher is enabled. + items: + type: string + disabled: + type: array + description: List of camera names whose watcher is disabled. + items: + type: string + required: + - mapping + - enabled + - disabled + CameraWatcherMappingResponse: + type: object + title: CameraWatcherMappingResponse + properties: + mapping: + type: object + description: Current merged mapping of camera name to enabled flag. + additionalProperties: + type: boolean + warning: + type: string + description: Optional warning if Redis lookup failed. + required: + - mapping diff --git a/metro-ai-suite/smart-nvr/docs/user-guide/get-started.md b/metro-ai-suite/smart-nvr/docs/user-guide/get-started.md index 46d8758a6..8eff1a864 100644 --- a/metro-ai-suite/smart-nvr/docs/user-guide/get-started.md +++ b/metro-ai-suite/smart-nvr/docs/user-guide/get-started.md @@ -132,6 +132,49 @@ Re-run the application after [configuring](./get-started.md#step-2-configure-env > - Requires VLM microservice to be running > - Disabled by default for system stability +## Running Tests and Generating Coverage Report + +To ensure the functionality of the microservice and measure test coverage, follow these steps: + +1. **Install Dependencies** + Install the required dependencies, including development dependencies, using: + + ```bash + poetry install --with test + ``` + +2. **Run Tests with Poetry** + Use the following command to run all tests: + + ```bash + poetry run pytest + ``` + +3. **Run Tests with Coverage** + To collect coverage data while running tests, use: + + ```bash + poetry run pytest --cov=src --cov=ui --cov-report=term-missing:skip-covered + ``` + +4. **Generate Coverage Report** + After running the tests, generate a coverage report: + + ```bash + poetry run coverage report -m + ``` + +5. **Generate HTML Coverage Report (Optional)** + For a detailed view, generate an HTML report: + + ```bash + poetry run coverage html + ``` + + Open the `htmlcov/index.html` file in your browser to view the report. + +These steps will help you verify the functionality of the microservice and ensure adequate test coverage. + ### Custom Build Configuration If using custom [build flags](./how-to-build-from-source.md#customizing-the-build), ensure the same environment variables are set before running the setup script. diff --git a/metro-ai-suite/smart-nvr/docs/user-guide/how-to-use-application.md b/metro-ai-suite/smart-nvr/docs/user-guide/how-to-use-application.md index 921d2f7e0..295cf26a9 100644 --- a/metro-ai-suite/smart-nvr/docs/user-guide/how-to-use-application.md +++ b/metro-ai-suite/smart-nvr/docs/user-guide/how-to-use-application.md @@ -83,6 +83,24 @@ This powerful automation feature enables intelligent event management and workfl ![Event-router](./_images/summary_event_response.png) +--- + +#### 4. **Configure Camera Streaming (Continuous Ingestion)** + +Enable or disable continuous background processing ("watchers") per camera to automatically stream new video segments into the Video Search pipeline. + +This feature allows selected cameras to be continuously monitored so their footage is proactively uploaded for Video Search indexing and managed centrally without restarting services or editing configuration files + +- **Continuous Ingestion Watcher**: Monitors the NVR folder for each enabled camera and automatically sends new videos to the Video Search pipeline. +- **Real-Time Configuration**: Enable or disable cameras instantly via the UI without restarting any service. +- **Centralized Control**: Manage camera ingestion settings for all cameras in one place through the backend APIs (/watchers/mapping and /watchers/enable). +- **Persistent State Management**: Retains watcher settings across restarts when Redis persistence is active. + +**Example Use Case**: Enable continuous ingestion for frequently used cameras to keep their footage always indexed for fast video search, while disabling low-priority ones to conserve resources. +![Continous-Streaming](./_images/configure_camera_streaming.png) + +--- + ## Additional Resources - **[Troubleshooting Guide](./Troubleshooting.md)** - Resolve common deployment and runtime issues diff --git a/metro-ai-suite/smart-nvr/poetry.lock b/metro-ai-suite/smart-nvr/poetry.lock new file mode 100644 index 000000000..91c21fe8d --- /dev/null +++ b/metro-ai-suite/smart-nvr/poetry.lock @@ -0,0 +1,3096 @@ +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. + +[[package]] +name = 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+requests = "^2.32.4" +aiofiles = "^23.2.1" +watchdog = "^4.0.0" +redis = "^5.0.0" +python-dotenv = "^1.0.0" +pydantic = "^2.7.0" +pydantic-settings = "^2.0.0" +aiohttp = "^3.10.11" +# UI layer +gradio = "^5.0.0" +paho-mqtt = "^1.6.1" + +[tool.poetry.group.test.dependencies] +pytest = "^8.2.0" +pytest-asyncio = "^0.23.7" +pytest-cov = "^5.0.0" +httpx = "^0.27.0" +coverage = "^7.5.0" + +[tool.pytest.ini_options] +asyncio_mode = "auto" +addopts = "-q" + +[tool.coverage.run] +source = ["src", "ui"] +branch = true +omit = [ + "ui/interface/interface.py" # omit heavy gradio layout (optional, remove to include) +] + +[tool.coverage.report] +show_missing = true +skip_covered = true +exclude_lines = [ + "pragma: no cover", + "if __name__ == .__main__.:" +] + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/metro-ai-suite/smart-nvr/requirements.txt b/metro-ai-suite/smart-nvr/requirements.txt index f6490ec9b..d0993b3b0 100755 --- a/metro-ai-suite/smart-nvr/requirements.txt +++ b/metro-ai-suite/smart-nvr/requirements.txt @@ -1,3 +1,5 @@ +# For directory watcher support +watchdog==4.0.0 fastapi==0.115.2 # Note: Latest is 0.111.0 (your version seems higher than current) uvicorn[standard]==0.29.0 # Upgraded from 0.24.0 requests==2.32.4 # Upgraded from 2.31.0 (fixes CVE-2024-35195 and CVE-2024-47081) @@ -9,3 +11,8 @@ paho-mqtt==1.6.1 # Latest is 2.0.0 (consider upgrading) redis>=6.2.0 # Latest is 5.0.1 (keep as >=6.2.0) aiohttp==3.10.11 # Upgraded from 3.9.4 (fixes CVE-2024-52304) #setuptools>=70.0.0 # Added to address setuptools CVEs (CVE-2024-6345, etc.) +pydantic-settings>=2.0.0 +pytest==8.2.2 # Added for test suite +pytest-asyncio==0.23.7 # Async endpoint tests +pytest-cov==5.0.0 +httpx==0.27.0 diff --git a/metro-ai-suite/smart-nvr/setup.sh b/metro-ai-suite/smart-nvr/setup.sh index 9e75ea17c..ca6061a31 100755 --- a/metro-ai-suite/smart-nvr/setup.sh +++ b/metro-ai-suite/smart-nvr/setup.sh @@ -147,11 +147,70 @@ start_services() { fi print_info "Starting Docker Compose services..." - # Run the Docker Compose stack with all services - docker compose -f docker/compose.yaml up -d - sleep 5 - print_success "Services are starting up..." - print_info "UI will be available at: ${CYAN}http://${HOST_IP}:7860${NC}" + docker compose -f docker/compose.yaml up -d || { print_error "docker compose up failed"; return 1; } + + # Wait & verify all expected services come to running/healthy state + # Expected logical service keys; map to actual container_name when overridden + local expected=(frigate nvr-event-router nvr-event-router-ui mqtt-broker redis) + # Associative mapping (bash 4+) from logical name -> actual container name + declare -A name_map + name_map[frigate]="frigate-vms" + # others keep same name as service + local max_attempts=12 # ~60s at 5s interval + local attempt=1 + local unhealthy_reason="" + + print_info "Checking container states (timeout ~60s)..." + while [ $attempt -le $max_attempts ]; do + sleep 5 + all_ok=true + unhealthy_reason="" + for svc in "${expected[@]}"; do + container_name="$svc" + if [[ -n "${name_map[$svc]:-}" ]]; then + container_name="${name_map[$svc]}" + fi + # get status (State.Status) and health (State.Health.Status) if present + if ! docker inspect "$container_name" >/dev/null 2>&1; then + all_ok=false + unhealthy_reason+="\n - $svc ($container_name): container not found" + continue + fi + status=$(docker inspect -f '{{.State.Status}}' "$container_name" 2>/dev/null || echo unknown) + health=$(docker inspect -f '{{if .State.Health}}{{.State.Health.Status}}{{end}}' "$container_name" 2>/dev/null || echo none) + case "$status" in + running) + if [ "$health" != "" ] && [ "$health" != "none" ] && [ "$health" != "healthy" ]; then + all_ok=false + unhealthy_reason+="\n - $svc ($container_name): running but health=$health" + fi + ;; + exit*) all_ok=false; unhealthy_reason+="\n - $svc ($container_name): exited" ;; + created|restarting|paused|dead) + all_ok=false + unhealthy_reason+="\n - $svc ($container_name): status=$status" + ;; + *) + all_ok=false + unhealthy_reason+="\n - $svc ($container_name): status=$status (unknown)" + ;; + esac + done + if $all_ok; then + print_success "All services are healthy."; + print_info "UI will be available at: ${CYAN}http://${HOST_IP}:7860${NC}"; + return 0 + fi + print_info "Attempt ${attempt}/${max_attempts}: waiting for services..." + attempt=$((attempt+1)) + done + + print_error "One or more services failed to become healthy:${unhealthy_reason}" + print_info "Next steps:" + echo -e " - Check logs: docker compose -f docker/compose.yaml logs --tail=200 -f" + echo -e " - Inspect a container: docker inspect | jq '.State'" + echo -e " - Re-run after fixing the issue." + return 1 } # Function to stop the services diff --git a/metro-ai-suite/smart-nvr/src/api/router.py b/metro-ai-suite/smart-nvr/src/api/router.py index 5edee8aa9..07b3254cf 100644 --- a/metro-ai-suite/smart-nvr/src/api/router.py +++ b/metro-ai-suite/smart-nvr/src/api/router.py @@ -1,12 +1,21 @@ + +# --- Camera Watcher API (moved to end for formatting) --- + +from typing import List, Dict +from service.directory_watcher import set_camera_watcher_mapping, get_enabled_cameras + # Copyright (C) 2025 Intel Corporation # SPDX-License-Identifier: Apache-2.0 -from fastapi import APIRouter, Depends, HTTPException, Request +from fastapi import APIRouter, Depends, HTTPException, Request, Body from pydantic import BaseModel from api.endpoints.frigate_api import FrigateService from api.endpoints.summarization_api import SummarizationService from service.vms_service import VmsService from service import redis_store +class CameraWatcherRequest(BaseModel): + cameras: List[Dict[str, bool]] + router = APIRouter() frigate_service = FrigateService() summarization_service = SummarizationService() @@ -131,3 +140,51 @@ async def delete_rule(rule_id: str, request: Request): if not deleted: raise HTTPException(status_code=404, detail="Rule not found") return {"message": f"Rule {rule_id} deleted"} + +@router.post("/watchers/enable", summary="Enable/disable directory watcher for cameras") +async def set_camera_watchers( + req: CameraWatcherRequest = Body(...), + request: Request = None +): + # Convert list of dicts to a single mapping + mapping = {k: v for d in req.cameras for k, v in d.items()} + debounce_time = 5 # You can make this configurable if needed + from service.directory_watcher import upload_videos_to_dataprep + updated = await set_camera_watcher_mapping(mapping, debounce_time, upload_videos_to_dataprep, request) + return { + "mapping": updated, + "enabled": [k for k, v in updated.items() if v], + "disabled": [k for k, v in updated.items() if not v], + } + + +@router.get("/watchers/mapping", summary="Get current camera watcher enable/disable mapping") +async def get_camera_watcher_mapping(request: Request = None): + """Return merged camera watcher mapping. + + Priority order: + 1. In-memory runtime mapping (reflects changes since process start) + 2. Persisted Redis mapping (authoritative across restarts) + + If Redis is unavailable, fall back to in-memory only. + """ + runtime_mapping = get_enabled_cameras() or {} + merged = runtime_mapping + try: + from service.redis_store import load_camera_watcher_mapping + persisted = await load_camera_watcher_mapping(request) + if persisted: + # Merge so that any runtime changes override persisted values + merged = {**persisted, **runtime_mapping} + except Exception as e: + # Include error info but still return something useful + return {"mapping": merged, "warning": f"Redis load failed: {e}"} + return {"mapping": merged} + + +@router.get("/watchers/enable", summary="Alias to fetch current watcher mapping (GET)") +async def get_camera_watcher_mapping_alias(request: Request = None): + """Provide a GET alias on /watchers/enable so users who query that endpoint directly + (expecting state) receive the same response as /watchers/mapping. + """ + return await get_camera_watcher_mapping(request) \ No newline at end of file diff --git a/metro-ai-suite/smart-nvr/src/api/rule_api.py b/metro-ai-suite/smart-nvr/src/api/rule_api.py deleted file mode 100644 index 720dc7cf8..000000000 --- a/metro-ai-suite/smart-nvr/src/api/rule_api.py +++ /dev/null @@ -1,43 +0,0 @@ -# Copyright (C) 2025 Intel Corporation -# SPDX-License-Identifier: Apache-2.0 -from fastapi import FastAPI, HTTPException -from pydantic import BaseModel -from service import redis_store - -app = FastAPI() - - -class Rule(BaseModel): - id: str - label: str - action: str - camera: str | None = None - - -@app.post("/rules/") -async def add_rule(rule: Rule): - success = await redis_store.add_rule(rule.id, rule.dict()) - if not success: - raise HTTPException(status_code=400, detail="Rule ID already exists") - return {"message": "Rule added", "rule": rule} - - -@app.get("/rules/") -async def list_rules(): - return await redis_store.get_rules() - - -@app.get("/rules/{rule_id}") -async def get_rule(rule_id: str): - rule = await redis_store.get_rule(rule_id) - if not rule: - raise HTTPException(status_code=404, detail="Rule not found") - return rule - - -@app.delete("/rules/{rule_id}") -async def delete_rule(rule_id: str): - deleted = await redis_store.delete_rule(rule_id) - if not deleted: - raise HTTPException(status_code=404, detail="Rule not found") - return {"message": f"Rule {rule_id} deleted"} diff --git a/metro-ai-suite/smart-nvr/src/config.py b/metro-ai-suite/smart-nvr/src/config.py index e0a2a608e..5f9394bfc 100644 --- a/metro-ai-suite/smart-nvr/src/config.py +++ b/metro-ai-suite/smart-nvr/src/config.py @@ -1,7 +1,5 @@ # Copyright (C) 2025 Intel Corporation # SPDX-License-Identifier: Apache-2.0 -# Copyright (C) 2025 Intel Corporation -# SPDX-License-Identifier: Apache-2.0 import os diff --git a/metro-ai-suite/smart-nvr/src/main.py b/metro-ai-suite/smart-nvr/src/main.py index 535a88b02..1f9b28546 100644 --- a/metro-ai-suite/smart-nvr/src/main.py +++ b/metro-ai-suite/smart-nvr/src/main.py @@ -1,3 +1,5 @@ +from service.directory_watcher import restore_camera_watchers_from_redis +from utils.utils import upload_videos_to_dataprep # Copyright (C) 2025 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from fastapi import FastAPI @@ -32,6 +34,15 @@ async def startup_event(): logger.info("🚀 FastAPI starting up... launching MQTT listener") asyncio.create_task(start_mqtt()) + # Start the camera watcher manager (restore from Redis) + logger.info("[Watcher] Restoring camera watchers from Redis and starting directory watcher(s)...") + try: + # Provide action callback so restored watcher can process files + await restore_camera_watchers_from_redis(action=upload_videos_to_dataprep, debounce_time=5, request=None) + logger.info("[Watcher] Camera watcher manager started successfully.") + except Exception as e: + logger.error(f"[Watcher] Failed to start camera watcher manager: {e}") + @app.on_event("shutdown") async def shutdown_event(): diff --git a/metro-ai-suite/smart-nvr/src/service/directory_watcher.py b/metro-ai-suite/smart-nvr/src/service/directory_watcher.py new file mode 100644 index 000000000..6ff31e939 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/service/directory_watcher.py @@ -0,0 +1,335 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import time +import os +from datetime import datetime +from watchdog.observers import Observer +from watchdog.events import FileSystemEventHandler +from threading import Timer, Thread, Lock +from utils.common import settings, logger +from utils.utils import upload_videos_to_dataprep +from service.redis_store import ( + save_camera_watcher_mapping, + load_camera_watcher_mapping, +) +from typing import Callable, Set, Dict, Optional + +# ----------------------------------------------------------------------------- +# Global state for camera-based directory watching +# ----------------------------------------------------------------------------- + +_observer: Optional[Observer] = None +_handler: Optional["DebouncedHandler"] = None +_enabled_cameras: Dict[str, bool] = {} +_mapping_lock = Lock() +_current_debounce: Optional[int] = None + +# Root paths to watch. Support legacy single path plus optional list (comma separated) +_primary_root = getattr(settings, "WATCH_DIRECTORY_CONTAINER_PATH", None) +_extra_paths_raw = getattr(settings, "WATCH_DIRECTORY_CONTAINER_PATHS", "") +_root_watch_paths = [] +if _primary_root: + _root_watch_paths.append(_primary_root) +if _extra_paths_raw: + for p in [x.strip() for x in _extra_paths_raw.split(",") if x.strip()]: + if p not in _root_watch_paths: + _root_watch_paths.append(p) +if not _root_watch_paths: + logger.warning("No watch root paths configured (WATCH_DIRECTORY_CONTAINER_PATH or WATCH_DIRECTORY_CONTAINER_PATHS)") + +# Removed initial upload status tracking (was unused externally) + + +class DebouncedHandler(FileSystemEventHandler): + last_updated = None # Class-level attribute + lock = Lock() # Lock for thread safety + + def __init__(self, debounce_time: int, action: Callable[[Set[str]], None]): + self.debounce_time = debounce_time + self.action = action + self.timer: Optional[Timer] = None + self.file_paths: Set[str] = set() + self.first_event_time: Optional[datetime] = None + + def _camera_enabled(self, file_path: str) -> bool: + """Determine the camera name from the file path relative to root and check if enabled.""" + try: + root_used = None + rel = None + for root in _root_watch_paths: + try: + rel_candidate = os.path.relpath(file_path, root) + # If file is not under this root, relpath will traverse up (start with '..') + if rel_candidate.startswith('..'): + continue + rel = rel_candidate + root_used = root + break + except Exception: + continue + if rel is None: + logger.debug(f"File {file_path} not under any configured root paths {_root_watch_paths}") + return False + parts = rel.split(os.sep) + camera = None + # Frigate recordings default layout: ///.mp4 + # Where =YYYY-MM-DD, =HH (00-23). We detect this pattern. + if len(parts) >= 4: + date_part, hour_part = parts[0], parts[1] + if _looks_like_date(date_part) and hour_part.isdigit() and len(hour_part) == 2: + camera = parts[2] + if camera is None: + # Fallback: assume first part is the camera (legacy layout) + camera = parts[0] + with _mapping_lock: + enabled = _enabled_cameras.get(camera, False) + if not enabled: + logger.debug(f"Ignoring file {file_path} (camera '{camera}' not enabled | root={root_used})") + return enabled + except Exception as e: + logger.debug(f"Could not determine camera for {file_path}: {e}") + return False + + def _handle_file_event(self, path: str, log_prefix: str): + """Common logic for created/modified events.""" + if not path.endswith(".mp4"): + return + if not os.path.exists(path): # transient create/delete racing + return + try: + if os.path.getsize(path) <= 524288: # ~512KB threshold; ignore tiny partial files + return + except OSError: + return + if not self._camera_enabled(path): + return + # Use debug for modified, info for first-time create scale reduction + log_fn = logger.info if log_prefix == "created" else logger.debug + log_fn(f"[Watcher] {log_prefix} accepted file: {path}") + with self.lock: + self.file_paths.add(path) + self._debounce() + + def on_created(self, event): # watchdog callback + if not event.is_directory: + self._handle_file_event(event.src_path, "created") + + def on_modified(self, event): # watchdog callback + if not event.is_directory: + self._handle_file_event(event.src_path, "modified") + + def _debounce(self): + if self.first_event_time is None: + self.first_event_time = datetime.now() + self.timer = Timer(self.debounce_time, self._process_files) + logger.debug(f"[Watcher] Debounce timer started (debounce={self.debounce_time}s) with {len(self.file_paths)} pending files") + self.timer.start() + else: + elapsed_time = (datetime.now() - self.first_event_time).total_seconds() + if elapsed_time >= self.debounce_time: + logger.debug(f"[Watcher] Debounce interval elapsed; processing {len(self.file_paths)} files now") + self._process_files() + + def _process_files(self): + def run_action(): + global initial_upload_status + try: + with self.lock: + if not self.file_paths: + # Nothing to do; avoid invoking action with empty set (was causing empty batch callbacks in tests) + logger.debug("[Watcher] _process_files invoked but no files queued; skipping action dispatch") + self.first_event_time = None + return + else: + logger.info(f"[Watcher] Processing batch of {len(self.file_paths)} files:") + for p in list(self.file_paths): + logger.info(f" - {p}") + start_ts = time.time() + try: + result = self.action(self.file_paths) + except Exception as action_err: + result = False + logger.exception(f"[Watcher] Action raised exception on batch: {action_err}") + duration = time.time() - start_ts + if result: + logger.info(f"[Watcher] Batch action success (files={len(self.file_paths)} elapsed={duration:.2f}s)") + else: + logger.warning(f"[Watcher] Batch action reported failure or partial success (files={len(self.file_paths)} elapsed={duration:.2f}s). Check preceding logs for details.") + self.file_paths.clear() + self.first_event_time = None + except Exception as e: + logger.error(f"Error in _process_files: {str(e)}") + finally: + DebouncedHandler.last_updated = datetime.now() + logger.info(f"Last updated time set to {DebouncedHandler.last_updated}") + + action_thread = Thread(target=run_action) + action_thread.start() + + +# Removed upload_initial_videos as initial bulk ingest not used by current API/UI + + +def _ensure_watcher_running(action: Callable[[Set[str]], None], debounce_time: int): + """Start watchers for all configured root paths if not already active.""" + global _observer, _handler, _current_debounce + if not _root_watch_paths: + logger.error("No watch root paths configured. Cannot start watcher.") + return + # Ensure all root paths exist + for rp in _root_watch_paths: + if not os.path.exists(rp): + try: + os.makedirs(rp, exist_ok=True) + except Exception as e: + logger.error(f"Failed to create watch root {rp}: {e}") + if _observer is None: + _handler = DebouncedHandler(debounce_time, action) + _observer = Observer() + for rp in _root_watch_paths: + recursive = True + _observer.schedule(_handler, rp, recursive=recursive) + logger.info(f"Scheduled watcher on {rp} (recursive) debounce={debounce_time}s") + _observer.start() + _current_debounce = debounce_time + # Log initial listings + for rp in _root_watch_paths: + try: + listing = os.listdir(rp) + logger.debug(f"[Watcher] Initial directory listing under {rp}: {listing}") + except Exception as e: + logger.debug(f"[Watcher] Could not list root path {rp}: {e}") + else: + if debounce_time != _current_debounce and _handler: + logger.info(f"Updating debounce time from {_current_debounce} to {debounce_time}") + _handler.debounce_time = debounce_time + _current_debounce = debounce_time + + +async def set_camera_watcher_mapping( + mapping: Dict[str, bool], + debounce_time: int, + action: Callable[[Set[str]], None], + request=None, +): + """Enable/disable cameras for the directory watcher, persist to Redis, and start watcher if needed. + + Args: + mapping: Dict of camera -> enabled bool + debounce_time: debounce seconds for batch processing + action: function to call with set of file paths + request: FastAPI request (for Redis client) + """ + global _enabled_cameras + with _mapping_lock: + _enabled_cameras.update(mapping) + # Remove cameras explicitly set to False but keep for persistence + effective = {k: v for k, v in _enabled_cameras.items() if v} + newly_enabled = [k for k, v in mapping.items() if v] + newly_disabled = [k for k, v in mapping.items() if not v] + logger.info( + f"[Watcher] Mapping updated. Newly enabled: {newly_enabled or 'None'} | Newly disabled: {newly_disabled or 'None'} | Full mapping: {_enabled_cameras}" + ) + + # Persist full mapping (including disabled) so UI can restore state + try: + await save_camera_watcher_mapping(_enabled_cameras, request) + logger.debug("[Watcher] Persisted camera watcher mapping to Redis") + except Exception as e: + logger.error(f"Failed to persist camera watcher mapping to Redis: {e}") + + # Ensure watcher running (even if no camera enabled yet, so future enables see events immediately) + _ensure_watcher_running(action, debounce_time) + + # Optionally perform an initial scan for newly enabled cameras + if newly_enabled: + logger.info(f"[Watcher] Performing initial scan for newly enabled cameras: {newly_enabled}") + Thread(target=_initial_scan_for_cameras, args=(newly_enabled, action), daemon=True).start() + + return _enabled_cameras + + +def _initial_scan_for_cameras(cameras: list[str], action: Callable[[Set[str]], None]): + """Scan existing directory tree for mp4 files belonging to newly enabled cameras and process them.""" + try: + if not _root_watch_paths: + return + batch: Set[str] = set() + # Iterate over all roots and walk expected Frigate layout. + for root_base in _root_watch_paths: + try: + date_dirs = [d for d in os.listdir(root_base) if _looks_like_date(d)] + except Exception as e: + logger.debug(f"[Watcher] Could not list root {root_base} for initial scan: {e}") + continue + for date_dir in date_dirs: + date_path = os.path.join(root_base, date_dir) + if not os.path.isdir(date_path): + continue + try: + hour_dirs = [h for h in os.listdir(date_path) if len(h) == 2 and h.isdigit()] + except Exception: + continue + for hour_dir in hour_dirs: + hour_path = os.path.join(date_path, hour_dir) + if not os.path.isdir(hour_path): + continue + for camera in cameras: + cam_path = os.path.join(hour_path, camera) + if not os.path.isdir(cam_path): + continue + for root, _, files in os.walk(cam_path): + for f in files: + if not f.endswith('.mp4'): + continue + fp = os.path.join(root, f) + try: + if os.path.getsize(fp) > 524288: + batch.add(fp) + except OSError: + continue + if batch: + logger.info(f"[Watcher] Initial scan found {len(batch)} existing files for newly enabled cameras {cameras}. Dispatching action.") + action(batch) + else: + logger.info(f"[Watcher] Initial scan found no existing files for cameras {cameras} above size threshold.") + except Exception as e: + logger.error(f"Error during initial camera scan: {e}") + + +def _looks_like_date(s: str) -> bool: + """Return True if string matches YYYY-MM-DD.""" + if len(s) != 10: + return False + try: + datetime.strptime(s, "%Y-%m-%d") + return True + except ValueError: + return False + + +async def restore_camera_watchers_from_redis(action: Callable[[Set[str]], None], debounce_time: int, request=None): + """Restore mapping from Redis at startup (call from FastAPI startup).""" + try: + logger.info("[Watcher] Attempting to restore camera watcher mapping from Redis...") + stored = await load_camera_watcher_mapping(request) + if stored: + await set_camera_watcher_mapping(stored, debounce_time, action, request) + logger.info(f"[Watcher] Restored camera watcher mapping from Redis: {stored}") + else: + logger.info("[Watcher] No stored camera watcher mapping found in Redis (starting with empty state).") + except Exception as e: + logger.error(f"[Watcher] Failed to restore camera watcher mapping: {e}") + + +# Removed get_initial_upload_status (no external references in smart-nvr project) + + +def get_last_updated(): + return DebouncedHandler.last_updated + + +def get_enabled_cameras() -> Dict[str, bool]: + with _mapping_lock: + return dict(_enabled_cameras) \ No newline at end of file diff --git a/metro-ai-suite/smart-nvr/src/service/redis_store.py b/metro-ai-suite/smart-nvr/src/service/redis_store.py index 6a4d496b0..3dc6059db 100644 --- a/metro-ai-suite/smart-nvr/src/service/redis_store.py +++ b/metro-ai-suite/smart-nvr/src/service/redis_store.py @@ -1,9 +1,14 @@ + # Copyright (C) 2025 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import json from fastapi import Request from config import REDIS_HOST, REDIS_PORT import redis.asyncio as redis +import logging + +# Module logger (was missing causing NameError in tests when error branch executed) +logger = logging.getLogger(__name__) # --- RULE MANAGEMENT --- # Fallback client for non-FastAPI contexts (like MQTT) @@ -195,3 +200,27 @@ async def get_summary_result(request: Request, summary_id: str): """Retrieve stored summary response.""" redis_client = request.app.state.redis_client return await redis_client.get(f"summary_result:{summary_id}") + + +CAMERA_WATCHER_KEY = "camera_watcher_mapping" + +async def save_camera_watcher_mapping(mapping: dict, request=None): + """Save camera watcher enable/disable mapping to Redis.""" + redis_client = ( + getattr(request.app.state, "redis_client", None) + if request + else fallback_redis_client + ) + await redis_client.set(CAMERA_WATCHER_KEY, json.dumps(mapping)) + +async def load_camera_watcher_mapping(request=None) -> dict: + """Load camera watcher enable/disable mapping from Redis.""" + redis_client = ( + getattr(request.app.state, "redis_client", None) + if request + else fallback_redis_client + ) + data = await redis_client.get(CAMERA_WATCHER_KEY) + if data: + return json.loads(data) + return {} \ No newline at end of file diff --git a/metro-ai-suite/smart-nvr/src/tests/conftest.py b/metro-ai-suite/smart-nvr/src/tests/conftest.py new file mode 100644 index 000000000..2b4af9f57 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/conftest.py @@ -0,0 +1,32 @@ +import asyncio +import os +import sys +import pathlib +import pytest +from fastapi.testclient import TestClient + +# Ensure the src directory (parent of this tests folder) is on sys.path so 'api', 'service', etc. resolve +_SRC_DIR = pathlib.Path(__file__).resolve().parents[1] +if str(_SRC_DIR) not in sys.path: + sys.path.insert(0, str(_SRC_DIR)) + +from fastapi import FastAPI +from api.router import router # api package lives under src/api + +# Single FastAPI app instance for all tests +app = FastAPI() +app.include_router(router) + +@pytest.fixture(scope="session") +def anyio_backend(): + return "asyncio" + +@pytest.fixture(scope="session") +def event_loop(): + loop = asyncio.new_event_loop() + yield loop + loop.close() + +@pytest.fixture(scope="module") +def client(): + return TestClient(app) diff --git a/metro-ai-suite/smart-nvr/src/tests/test_directory_watcher_unit.py b/metro-ai-suite/smart-nvr/src/tests/test_directory_watcher_unit.py new file mode 100644 index 000000000..fe12b8c80 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_directory_watcher_unit.py @@ -0,0 +1,100 @@ +"""Unit tests for DebouncedHandler (directory watcher logic).""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import os +import tempfile +from pathlib import Path +from unittest.mock import patch + +import pytest + +from service.directory_watcher import DebouncedHandler + + +def make_tmp_video(dir_path: Path, name="clip.mp4", size=600_000): + fp = dir_path / name + with open(fp, "wb") as f: + f.write(b"0" * size) + return str(fp) + + +def test_camera_disabled_ignored(monkeypatch, tmp_path): + root = tmp_path / "2025-09-25" / "12" / "garage" + root.mkdir(parents=True) + video = make_tmp_video(root) + + called = {"files": None} + + def fake_action(files): + called["files"] = files + + # disable all cameras + monkeypatch.setattr("service.directory_watcher._root_watch_paths", [str(tmp_path)]) + monkeypatch.setattr("service.directory_watcher._enabled_cameras", {"garage": False}) + + h = DebouncedHandler(debounce_time=0, action=fake_action) + # simulate event + class E: # minimal event stub + is_directory = False + src_path = video + h.on_created(E()) + assert called["files"] is None # not processed + + +def test_camera_enabled_processes(monkeypatch, tmp_path): + root = tmp_path / "2025-09-25" / "12" / "garage" + root.mkdir(parents=True) + video = make_tmp_video(root) + + processed_batches = [] + + def fake_action(files): + processed_batches.append(set(files)) + + monkeypatch.setattr("service.directory_watcher._root_watch_paths", [str(tmp_path)]) + monkeypatch.setattr("service.directory_watcher._enabled_cameras", {"garage": True}) + + h = DebouncedHandler(debounce_time=0, action=fake_action) + + class E: + is_directory = False + src_path = video + + h.on_created(E()) + # Force immediate processing + h._process_files() + # Wait briefly for action thread to run + import time + time.sleep(0.2) + # Filter out any empty batches defensively (should no longer occur after fix) + non_empty = [b for b in processed_batches if b] + assert len(non_empty) == 1 + assert any(video in batch for batch in non_empty) + + +def test_ignores_small_files(monkeypatch, tmp_path): + root = tmp_path / "2025-09-25" / "12" / "garage" + root.mkdir(parents=True) + fp = root / "small.mp4" + with open(fp, "wb") as f: + f.write(b"1234") # < threshold + + events = [] + def fake_action(files): + events.append(files) + + monkeypatch.setattr("service.directory_watcher._root_watch_paths", [str(tmp_path)]) + monkeypatch.setattr("service.directory_watcher._enabled_cameras", {"garage": True}) + + h = DebouncedHandler(debounce_time=0, action=fake_action) + + class E: + is_directory = False + src_path = str(fp) + + h.on_created(E()) + h._process_files() + import time + time.sleep(0.1) + # Should not have invoked action (events list empty) + assert events == [] # nothing processed diff --git a/metro-ai-suite/smart-nvr/src/tests/test_dispatcher.py b/metro-ai-suite/smart-nvr/src/tests/test_dispatcher.py new file mode 100644 index 000000000..79be22fc6 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_dispatcher.py @@ -0,0 +1,95 @@ +"""Tests for dispatcher action handling.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import pytest +from types import SimpleNamespace + +# We import the dispatcher module after monkeypatching its dependencies where needed. + +@pytest.mark.asyncio +async def test_dispatcher_summarize_success(monkeypatch): + # Prepare fake services / persistence + async def fake_save_summary_id(rule_id, summary_id): + assert rule_id == "r1" + assert summary_id == "sum123" + + async def fake_save_summary_result(summary_id, result): + assert summary_id == "sum123" + assert result == "Summary text" + + class FakeVms: + async def summarize(self, camera_name, start_time, end_time): + return {"status": 200, "message": "sum123"} + def summary(self, summary_id): + return {"summary": "Summary text"} + + monkeypatch.setattr("service.dispatcher.vms_service", FakeVms()) + monkeypatch.setattr("service.dispatcher.save_summary_id", fake_save_summary_id) + monkeypatch.setattr("service.dispatcher.save_summary_result", fake_save_summary_result) + + from service.dispatcher import dispatch_action + + event = {"camera": "cam1", "start_time": 1.0, "end_time": 2.0, "rule_id": "r1"} + result = await dispatch_action("summarize", event) + assert result["summary_id"] == "sum123" + assert result["result"] == "Summary text" + + +@pytest.mark.asyncio +async def test_dispatcher_summarize_validation_error(monkeypatch): + from service.dispatcher import dispatch_action + event = {"camera": None, "start_time": 1.0, "end_time": 2.0, "rule_id": "r1"} + out = await dispatch_action("summarize", event) + assert "error" in out + assert "Missing required" in out["error"] + + +@pytest.mark.asyncio +async def test_dispatcher_summarize_non_200(monkeypatch): + class FakeVms: + async def summarize(self, *a, **k): + return {"status": 500, "message": "failure"} + def summary(self, summary_id): + return {"summary": "Should not be used"} + + monkeypatch.setattr("service.dispatcher.vms_service", FakeVms()) + from service.dispatcher import dispatch_action + event = {"camera": "cam1", "start_time": 1, "end_time": 2, "rule_id": "r1"} + out = await dispatch_action("summarize", event) + # Non-200 path returns None + assert out is None + + +@pytest.mark.asyncio +async def test_dispatcher_search_success(monkeypatch): + async def fake_save_search(rule_id, output): + assert rule_id == "r2" + assert output["status"] == 200 + + class FakeVms: + async def search_embeddings(self, camera_name, start_time, end_time): + return {"status": 200, "result": "ok"} + + monkeypatch.setattr("service.dispatcher.vms_service", FakeVms()) + monkeypatch.setattr("service.dispatcher.save_search", fake_save_search) + + from service.dispatcher import dispatch_action + event = {"camera": "camA", "start_time": 5, "end_time": 6, "rule_id": "r2"} + out = await dispatch_action("add to search", event) + assert out == {"status": 200, "result": "ok"} + + +@pytest.mark.asyncio +async def test_dispatcher_search_validation_error(monkeypatch): + from service.dispatcher import dispatch_action + event = {"camera": None, "start_time": 1, "end_time": 2, "rule_id": "r2"} + out = await dispatch_action("add to search", event) + assert "error" in out + assert "Missing required" in out["error"] + + +@pytest.mark.asyncio +async def test_dispatcher_unknown_action(): + from service.dispatcher import dispatch_action + out = await dispatch_action("not-real", {"rule_id": "x"}) + assert out == {"error": "Unknown action: not-real"} diff --git a/metro-ai-suite/smart-nvr/src/tests/test_frigate_service.py b/metro-ai-suite/smart-nvr/src/tests/test_frigate_service.py new file mode 100644 index 000000000..00657bb4e --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_frigate_service.py @@ -0,0 +1,47 @@ +"""Tests for FrigateService interactions with external Frigate API.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import pytest +from unittest.mock import patch, MagicMock +from api.endpoints.frigate_api import FrigateService +import requests + + +def test_get_camera_names_success(): + service = FrigateService(base_url='http://fake') + fake_cfg = {"cameras": {"garage": {"objects": {"track": ["person"]}}, "yard": {"objects": {"track": []}}}} + with patch('api.endpoints.frigate_api.requests.get') as mget: + mget.return_value = MagicMock(status_code=200, json=lambda: fake_cfg) + result = service.get_camera_names() + assert result == {"garage": ["person"], "yard": []} + + +def test_get_camera_names_error(): + service = FrigateService(base_url='http://fake') + with patch('api.endpoints.frigate_api.requests.get') as mget: + mget.side_effect = requests.exceptions.RequestException('boom') + with pytest.raises(Exception): + service.get_camera_names() + + +def test_get_clip_from_timestamps_404(): + service = FrigateService(base_url='http://fake') + fake_resp = MagicMock() + fake_resp.status_code = 404 + fake_resp.text = 'not found' + http_err = requests.exceptions.HTTPError(response=fake_resp) + with patch('api.endpoints.frigate_api.requests.get', side_effect=http_err): + with pytest.raises(Exception) as exc: + service.get_clip_from_timestamps('garage', 1, 2) + assert 'Clip not found' in str(exc.value) + + +def test_get_clip_from_timestamps_stream_success(): + service = FrigateService(base_url='http://fake') + fake_stream = MagicMock() + fake_stream.iter_content = lambda chunk_size: [b'a', b'b'] + fake_stream.headers = {'Content-Disposition': 'inline'} + fake_stream.raise_for_status = lambda: None + with patch('api.endpoints.frigate_api.requests.get', return_value=fake_stream): + resp = service.get_clip_from_timestamps('garage', 1, 3) + assert resp.media_type == 'video/mp4' \ No newline at end of file diff --git a/metro-ai-suite/smart-nvr/src/tests/test_main_entry.py b/metro-ai-suite/smart-nvr/src/tests/test_main_entry.py new file mode 100644 index 000000000..b71477d50 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_main_entry.py @@ -0,0 +1,42 @@ +"""Tests for backend main entry point (uvicorn run logic).""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import runpy +from unittest.mock import patch, AsyncMock +from fastapi.testclient import TestClient +import importlib + + +def test_main_fastapi_startup_and_root(monkeypatch): + # Patch external side-effect functions BEFORE importing main + monkeypatch.setattr("src.main.restore_camera_watchers_from_redis", AsyncMock()) + monkeypatch.setattr("src.main.start_mqtt", AsyncMock()) + monkeypatch.setattr("src.main.redis.from_url", lambda *a, **k: AsyncMock()) + + from src.main import app # import after patches + + with TestClient(app) as client: + resp = client.get("/") + assert resp.status_code == 200 + assert "NVR Event Router" in resp.json()["message"] + + +def test_main_dunder_main_run(monkeypatch): + # Simulate executing the module as a script, but prevent real uvicorn startup. + calls = {} + + def fake_run(app_path: str, host: str, port: int, reload: bool, log_level: str): # noqa: D401 + calls["invoked"] = True + calls["app_path"] = app_path + calls["host"] = host + calls["port"] = port + calls["reload"] = reload + calls["log_level"] = log_level + return None + + monkeypatch.setattr("uvicorn.run", fake_run, raising=False) + + runpy.run_module("src.main", run_name="__main__") + + assert calls.get("invoked"), "Expected uvicorn.run to be invoked in __main__ block" + assert calls.get("app_path") == "main:app" diff --git a/metro-ai-suite/smart-nvr/src/tests/test_redis_store.py b/metro-ai-suite/smart-nvr/src/tests/test_redis_store.py new file mode 100644 index 000000000..d00a7e745 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_redis_store.py @@ -0,0 +1,119 @@ +"""Tests for Redis store helper functions using a fake in-memory implementation.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import json +import pytest +from types import SimpleNamespace +from unittest.mock import AsyncMock + +import service.redis_store as rs + + +class FakeRedis: + def __init__(self): + self.store = {} + self.sets = {"rules": set()} + self.lists = {} + + # Key/Value + async def set(self, k, v): + self.store[k] = v + + async def get(self, k): + return self.store.get(k) + + async def exists(self, k): + return 1 if k in self.store else 0 + + async def delete(self, *keys): + for k in keys: + self.store.pop(k, None) + self.lists.pop(k, None) + + # Sets + async def sadd(self, key, val): + self.sets.setdefault(key, set()).add(val) + + async def smembers(self, key): + return self.sets.get(key, set()) + + async def srem(self, key, val): + self.sets.get(key, set()).discard(val) + + # Lists + async def rpush(self, key, val): + self.lists.setdefault(key, []).append(val) + + async def lrange(self, key, start, end): + data = self.lists.get(key, []) + if end == -1: + end = len(data) + return data[start:end] + + +def make_request(fake): + return SimpleNamespace(app=SimpleNamespace(state=SimpleNamespace(redis_client=fake))) + + +@pytest.mark.asyncio +async def test_add_rule_and_duplicate(): + fake = FakeRedis() + req = make_request(fake) + added = await rs.add_rule(req, 'r1', {'id':'r1','label':'L','action':'a'}) + assert added is True + dup = await rs.add_rule(req, 'r1', {'id':'r1','label':'L','action':'a'}) + assert dup is False + + +@pytest.mark.asyncio +async def test_rule_storage_and_delete(): + fake = FakeRedis() + req = make_request(fake) + await rs.store_rule(req, 'r2', {'id':'r2','label':'X','action':'b'}) + got = await rs.get_rule(req, 'r2') + assert got['label'] == 'X' + rules = await rs.get_rules(req) + assert any(r['id']=='r2' for r in rules) + ok = await rs.delete_rule(req, 'r2') + assert ok is True + missing = await rs.delete_rule(req, 'r2') + assert missing is False + + +@pytest.mark.asyncio +async def test_store_and_fetch_responses_and_summaries(): + fake = FakeRedis() + req = make_request(fake) + # Simulate saving responses/search results + await rs.store_response('r3', {'summary_id':'s1','status':'ok'}, req) + await rs.save_summary_id('r3','s1', req) + await rs.save_summary_result('s1','result-json', req) + # Search results + await rs.save_search('r3', {'video_id':'vid1','message':'done'}, req) + ids = await rs.get_summary_ids(req, 'r3') + assert 's1' in ids + summary_val = await rs.get_summary_result(req, 's1') + assert summary_val == 'result-json' + search_results = await rs.get_search_results_by_rule('r3', req) + assert search_results[0]['video_id'] == 'vid1' + + +@pytest.mark.asyncio +async def test_camera_watcher_mapping_store_load(): + fake = FakeRedis() + req = make_request(fake) + await rs.save_camera_watcher_mapping({'garage':True}, req) + data = await rs.load_camera_watcher_mapping(req) + assert data == {'garage':True} + + +@pytest.mark.asyncio +async def test_get_search_results_error_path(monkeypatch): + class ExplodingRedis(FakeRedis): + async def lrange(self, key, start, end): + raise Exception('boom') + fake = ExplodingRedis() + req = make_request(fake) + # Should swallow error and return [] + results = await rs.get_search_results_by_rule('rX', req) + assert results == [] \ No newline at end of file diff --git a/metro-ai-suite/smart-nvr/src/tests/test_router_cameras.py b/metro-ai-suite/smart-nvr/src/tests/test_router_cameras.py new file mode 100644 index 000000000..5039f8571 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_router_cameras.py @@ -0,0 +1,30 @@ +"""Tests for camera router endpoints.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import pytest +from unittest.mock import patch + + +def test_get_cameras_empty(client): + with patch("api.router.frigate_service.get_camera_names", return_value={}) as mock_fn: + resp = client.get("/cameras") + assert resp.status_code == 200 + assert resp.json() == {} + mock_fn.assert_called_once() + + +def test_get_cameras_non_empty(client): + cams = {"garage": [], "livingroom": []} + with patch("api.router.frigate_service.get_camera_names", return_value=cams): + resp = client.get("/cameras") + assert resp.status_code == 200 + assert resp.json() == cams + + +def test_get_events_calls_service(client): + with patch("api.router.frigate_service.get_camera_events") as mock_events: + mock_events.return_value = [{"id": 1}] + resp = client.get("/events", params={"camera": "garage"}) + assert resp.status_code == 200 + assert resp.json() == [{"id": 1}] + mock_events.assert_awaited() diff --git a/metro-ai-suite/smart-nvr/src/tests/test_rule_responses_endpoints.py b/metro-ai-suite/smart-nvr/src/tests/test_rule_responses_endpoints.py new file mode 100644 index 000000000..a65b6e7c8 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_rule_responses_endpoints.py @@ -0,0 +1,34 @@ +"""Tests for endpoints returning rule summary and search responses.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import pytest +from unittest.mock import AsyncMock, patch + +@pytest.mark.asyncio +async def test_rule_summaries_endpoint(client): + async def fake_get_rules(request): + return [{"id": "r1", "action": "summarize", "camera": "cam"}] + async def fake_get_summary_ids(request, rule_id): + return ["s1", "s2"] + with patch("api.router.get_rules", fake_get_rules), \ + patch("api.router.get_summary_ids", fake_get_summary_ids), \ + patch("api.router.vms_service.summary", return_value={"status": "completed"}): + resp = client.get("/rules/responses/") + assert resp.status_code == 200 + data = resp.json() + assert "r1" in data + assert len(data["r1"]) == 2 + +@pytest.mark.asyncio +async def test_rule_search_responses_endpoint(client): + async def fake_get_rules(request): + return [{"id": "r2", "action": "add to search", "camera": "cam"}] + async def fake_get_search_results(rule_id, request=None): + return [{"video_id": "v1", "message": "done"}] + with patch("api.router.get_rules", fake_get_rules), \ + patch("api.router.get_search_results_by_rule", fake_get_search_results): + resp = client.get("/rules/search-responses/") + assert resp.status_code == 200 + data = resp.json() + assert "r2" in data + assert data["r2"][0]["video_id"] == "v1" diff --git a/metro-ai-suite/smart-nvr/src/tests/test_rules_endpoints.py b/metro-ai-suite/smart-nvr/src/tests/test_rules_endpoints.py new file mode 100644 index 000000000..738fbfe25 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_rules_endpoints.py @@ -0,0 +1,67 @@ +"""Tests for rule CRUD endpoints.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import pytest +from unittest.mock import AsyncMock, patch + +RULE_OBJ = {"id": "rule1", "label": "person", "action": "summarize", "camera": "cam1"} + +@pytest.mark.asyncio +async def test_add_rule_success(client): + async def fake_add_rule(request, rule_id, data): + return True + with patch("api.router.redis_store.add_rule", fake_add_rule): + resp = client.post("/rules/", json=RULE_OBJ) + assert resp.status_code == 200 + assert resp.json()["message"] == "Rule added" + +@pytest.mark.asyncio +async def test_add_rule_duplicate(client): + async def fake_add_rule(request, rule_id, data): + return False + with patch("api.router.redis_store.add_rule", fake_add_rule): + resp = client.post("/rules/", json=RULE_OBJ) + assert resp.status_code == 400 + +@pytest.mark.asyncio +async def test_list_rules(client): + async def fake_get_rules(request): + return [RULE_OBJ] + with patch("api.router.redis_store.get_rules", fake_get_rules): + resp = client.get("/rules/") + assert resp.status_code == 200 + assert resp.json()[0]["id"] == "rule1" + +@pytest.mark.asyncio +async def test_get_rule_found(client): + async def fake_get_rule(request, rid): + return RULE_OBJ + with patch("api.router.redis_store.get_rule", fake_get_rule): + resp = client.get("/rules/rule1") + assert resp.status_code == 200 + assert resp.json()["id"] == "rule1" + +@pytest.mark.asyncio +async def test_get_rule_not_found(client): + async def fake_get_rule(request, rid): + return None + with patch("api.router.redis_store.get_rule", fake_get_rule): + resp = client.get("/rules/ruleX") + assert resp.status_code == 404 + +@pytest.mark.asyncio +async def test_delete_rule_success(client): + async def fake_delete_rule(request, rid): + return True + with patch("api.router.redis_store.delete_rule", fake_delete_rule): + resp = client.delete("/rules/rule1") + assert resp.status_code == 200 + assert "deleted" in resp.json()["message"] + +@pytest.mark.asyncio +async def test_delete_rule_not_found(client): + async def fake_delete_rule(request, rid): + return False + with patch("api.router.redis_store.delete_rule", fake_delete_rule): + resp = client.delete("/rules/rule1") + assert resp.status_code == 404 diff --git a/metro-ai-suite/smart-nvr/src/tests/test_summarization_service.py b/metro-ai-suite/smart-nvr/src/tests/test_summarization_service.py new file mode 100644 index 000000000..01b7be64f --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_summarization_service.py @@ -0,0 +1,54 @@ +"""Tests for summarization service video upload and summary retrieval.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import pytest +from pathlib import Path +from unittest.mock import patch, MagicMock +import requests +from api.endpoints.summarization_api import SummarizationService +from model.model import Sampling, Evam, SummaryPayload + + +def test_video_upload_file_missing(tmp_path): + svc = SummarizationService() + with pytest.raises(Exception): + svc.video_upload(tmp_path / 'nope.mp4', 'http://fake') + + +def test_video_upload_request_exception(tmp_path): + svc = SummarizationService() + f = tmp_path / 'clip.mp4' + f.write_bytes(b'1234') + err_resp = MagicMock() + err_resp.status_code = 500 + err = requests.exceptions.RequestException('fail') + with patch('api.endpoints.summarization_api.requests.post', side_effect=err): + with pytest.raises(Exception): + svc.video_upload(f, 'http://fake') + + +def test_video_upload_success(tmp_path): + svc = SummarizationService() + f = tmp_path / 'clip2.mp4' + f.write_bytes(b'0' * 2048) + with patch('api.endpoints.summarization_api.requests.post') as mpost: + mpost.return_value = MagicMock(status_code=200, json=lambda: {'videoId': 'vid1'}, raise_for_status=lambda: None) + resp = svc.video_upload(f, 'http://fake') + assert resp['videoId'] == 'vid1' + + +def test_create_summary_success(): + svc = SummarizationService() + payload = SummaryPayload(videoId='v1', title='t', sampling=Sampling(chunkDuration=8, samplingFrame=8), evam=Evam(evamPipeline='object_detection')) + with patch('api.endpoints.summarization_api.requests.post') as mpost: + mpost.return_value = MagicMock(status_code=200, json=lambda: {'summaryPipelineId': 'p1'}, raise_for_status=lambda: None) + resp = svc.create_summary(payload, 'http://fake') + assert resp['summaryPipelineId'] == 'p1' + + +def test_get_summary_result_success(): + svc = SummarizationService() + with patch('api.endpoints.summarization_api.requests.get') as mget: + mget.return_value = MagicMock(status_code=200, json=lambda: {'summary': 'done'}, raise_for_status=lambda: None) + resp = svc.get_summary_result('abc', 'http://fake') + assert resp['summary'] == 'done' \ No newline at end of file diff --git a/metro-ai-suite/smart-nvr/src/tests/test_summary_endpoints.py b/metro-ai-suite/smart-nvr/src/tests/test_summary_endpoints.py new file mode 100644 index 000000000..242526f44 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_summary_endpoints.py @@ -0,0 +1,29 @@ +"""Tests for summary and search embedding endpoints.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import pytest +from unittest.mock import patch + + +def test_summary_endpoint(client): + with patch("api.router.vms_service.summarize", return_value={"status": "ok", "id": "s1"}) as p: + resp = client.get("/summary/cam1", params={"start_time": 1, "end_time": 2}) + assert resp.status_code == 200 + assert resp.json()["status"] == "ok" + p.assert_called_once() + + +def test_search_embeddings_endpoint(client): + with patch("api.router.vms_service.search_embeddings", return_value={"status": "ok", "id": "e1"}) as p: + resp = client.get("/search-embeddings/cam1", params={"start_time": 1, "end_time": 2}) + assert resp.status_code == 200 + assert resp.json()["status"] == "ok" + p.assert_called_once() + + +def test_summary_status_endpoint(client): + with patch("api.router.vms_service.summary", return_value={"status": "completed", "result": "text"}) as p: + resp = client.get("/summary-status/summary123") + assert resp.status_code == 200 + assert resp.json()["status"] == "completed" + p.assert_called_once_with("summary123") diff --git a/metro-ai-suite/smart-nvr/src/tests/test_utils_upload.py b/metro-ai-suite/smart-nvr/src/tests/test_utils_upload.py new file mode 100644 index 000000000..8cedfd6f8 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_utils_upload.py @@ -0,0 +1,54 @@ +"""Tests for upload utility functions.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from unittest.mock import patch, MagicMock +from utils.utils import upload_single_video_with_retry, upload_videos_to_dataprep + + +def test_upload_single_success(tmp_path, monkeypatch): + fp = tmp_path / "file.mp4" + fp.write_bytes(b"0" * 600_000) + + post_calls = [] + + def fake_post(url, files=None): + m = MagicMock() + if "search-embeddings" in url: + m.raise_for_status.return_value = None + m.json.return_value = {"status": "ok"} + else: + m.raise_for_status.return_value = None + m.json.return_value = {"videoId": "vid123"} + post_calls.append(url) + return m + + monkeypatch.setattr("utils.utils.requests.post", fake_post) + + assert upload_single_video_with_retry(str(fp), max_retries=2) is True + assert any("videos/" in c for c in post_calls) + assert any("search-embeddings" in c for c in post_calls) + + +def test_upload_single_failure(tmp_path, monkeypatch): + fp = tmp_path / "file.mp4" + fp.write_bytes(b"0" * 600_000) + + def fake_post(url, files=None): + raise Exception("boom") + + monkeypatch.setattr("utils.utils.requests.post", fake_post) + + assert upload_single_video_with_retry(str(fp), max_retries=2) is False + + +def test_upload_batch(tmp_path, monkeypatch): + f1 = tmp_path / "f1.mp4" + f1.write_bytes(b"0" * 600_000) + f2 = tmp_path / "f2.mp4" + f2.write_bytes(b"0" * 600_000) + + def fake_single(path, max_retries=3): + return True + + monkeypatch.setattr("utils.utils.upload_single_video_with_retry", fake_single) + assert upload_videos_to_dataprep([str(f1), str(f2)]) is True diff --git a/metro-ai-suite/smart-nvr/src/tests/test_utils_upload_retry.py b/metro-ai-suite/smart-nvr/src/tests/test_utils_upload_retry.py new file mode 100644 index 000000000..9f59e9618 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_utils_upload_retry.py @@ -0,0 +1,78 @@ +"""Retry & batch upload utility tests.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import os +import requests +import types +from unittest.mock import patch, MagicMock +from utils.utils import upload_single_video_with_retry, upload_videos_to_dataprep + + +class DummyResp: + def __init__(self, json_data=None, status_code=200): + self._json = json_data or {} + self.status_code = status_code + + def json(self): + return self._json + + def raise_for_status(self): + if self.status_code >= 400: + raise requests.exceptions.HTTPError(response=MagicMock(status_code=self.status_code, text='err')) + + +def test_upload_single_video_with_retry_success(tmp_path, monkeypatch): + # Create temp file + f = tmp_path / 'video.mp4' + f.write_bytes(b'0' * 1024) + + calls = [] + + def side_effect(*args, **kwargs): + calls.append(args[0]) + # First attempt fails (simulate network issue) + if len(calls) == 1: + raise Exception('net fail') + # Second attempt: first POST (video upload) + if 'videos/' in args[0] and len(calls) == 2: + return DummyResp({'videoId': 'vid123'}) + # Second attempt: second POST (embedding) + if 'search-embeddings' in args[0]: + return DummyResp({'message': 'ok'}) + return DummyResp({}) + + monkeypatch.setattr('time.sleep', lambda x: None) + with patch('utils.utils.requests.post', side_effect=side_effect): + assert upload_single_video_with_retry(str(f), max_retries=3) is True + + +def test_upload_single_video_with_retry_exhaust(tmp_path, monkeypatch): + f = tmp_path / 'video2.mp4' + f.write_bytes(b'1' * 2048) + + monkeypatch.setattr('time.sleep', lambda x: None) + with patch('utils.utils.requests.post', side_effect=Exception('always fail')): + assert upload_single_video_with_retry(str(f), max_retries=2) is False + + +def test_upload_videos_to_dataprep_skips_duplicates(tmp_path, monkeypatch): + f1 = tmp_path / 'clip1.mp4' + f2 = tmp_path / 'clip2.mp4' + f1.write_bytes(b'2' * 1024) + f2.write_bytes(b'3' * 1024) + + # Arrange: first upload success, second file duplicate path scenario + posted = [] + + def post_side(url, files=None): + posted.append(url) + # Simulate sequential success for video and embedding endpoints + if 'videos/search-embeddings' in url: + return DummyResp({'message': 'embeddings ok'}) + return DummyResp({'videoId': 'vidXYZ'}) + + monkeypatch.setattr('utils.utils.requests.post', post_side) + # First batch: both files processed + assert upload_videos_to_dataprep([str(f1), str(f2)]) is True + # Second batch: skip both (already uploaded) + assert upload_videos_to_dataprep([str(f1), str(f2)]) is True \ No newline at end of file diff --git a/metro-ai-suite/smart-nvr/src/tests/test_vms_service.py b/metro-ai-suite/smart-nvr/src/tests/test_vms_service.py new file mode 100644 index 000000000..5ea753acc --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_vms_service.py @@ -0,0 +1,79 @@ +"""Tests for VmsService summarization and search operations.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import pytest +from unittest.mock import patch, MagicMock, AsyncMock +from service.vms_service import VmsService +from api.endpoints.frigate_api import FrigateService +from api.endpoints.summarization_api import SummarizationService +from fastapi import HTTPException +import types + + +class DummyStream: + def __init__(self, chunks): + async def iterator(): + for c in chunks: + yield c + self.body_iterator = iterator() + + +@pytest.mark.asyncio +async def test_upload_video_small_file(monkeypatch, tmp_path): + # Frigate returns tiny stream -> triggers 404 logic path (size <=100) + fs = FrigateService(base_url='x') + ss = SummarizationService() + v = VmsService(fs, ss) + monkeypatch.setattr(fs, 'get_clip_from_timestamps', lambda *a, **k: DummyStream([b'xx'])) + resp = await v.upload_video_to_summarizer('cam', 1, 2, False) + assert resp['status'] == 404 + + +@pytest.mark.asyncio +async def test_upload_video_success(monkeypatch, tmp_path): + fs = FrigateService(base_url='x') + ss = SummarizationService() + v = VmsService(fs, ss) + # Provide large enough stream + monkeypatch.setattr(fs, 'get_clip_from_timestamps', lambda *a, **k: DummyStream([b'a' * 150])) + monkeypatch.setattr(ss, 'video_upload', lambda path, base: {'videoId': 'vid123'}) + resp = await v.upload_video_to_summarizer('cam', 1, 5, False) + assert resp['status'] == 200 and resp['message'] == 'vid123' + + +@pytest.mark.asyncio +async def test_summary_empty_frames(monkeypatch): + fs = FrigateService(base_url='x') + ss = SummarizationService() + v = VmsService(fs, ss) + with patch('service.vms_service.summarization_service.get_summary_result', return_value={'frameSummaries': [{'startFrame':1,'endFrame':2,'status':'processing','summary':None}]}): + result = v.summary('pipe123') + assert 'Final summary is being generated' in result['summary'] + assert result['frameSummaries'][0]['status'] == 'processing' + + +@pytest.mark.asyncio +async def test_search_embeddings_success(monkeypatch): + fs = FrigateService(base_url='x') + ss = SummarizationService() + v = VmsService(fs, ss) + async def fake_upload(*a, **k): + return {'status':200,'message':'vid77'} + monkeypatch.setattr(v, 'upload_video_to_summarizer', fake_upload) + with patch('service.vms_service.requests.post') as mpost: + mpost.return_value = MagicMock(status_code=200, json=lambda: {'message':'ok'}, raise_for_status=lambda: None) + resp = await v.search_embeddings('cam',1,2) + assert resp['status'] == 200 and resp['video_id'] == 'vid77' + + +@pytest.mark.asyncio +async def test_search_embeddings_failure(monkeypatch): + fs = FrigateService(base_url='x') + ss = SummarizationService() + v = VmsService(fs, ss) + async def fake_upload(*a, **k): + return {'status':200,'message':'vid99'} + monkeypatch.setattr(v, 'upload_video_to_summarizer', fake_upload) + with patch('service.vms_service.requests.post', side_effect=Exception('fail')): + with pytest.raises(Exception): + await v.search_embeddings('cam',1,2) diff --git a/metro-ai-suite/smart-nvr/src/tests/test_watcher_mapping.py b/metro-ai-suite/smart-nvr/src/tests/test_watcher_mapping.py new file mode 100644 index 000000000..4506ea952 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/tests/test_watcher_mapping.py @@ -0,0 +1,47 @@ +"""Tests for camera watcher mapping persistence and merge logic.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import pytest +from unittest.mock import patch, AsyncMock + +from api.router import get_camera_watcher_mapping, set_camera_watchers, CameraWatcherRequest + +@pytest.mark.asyncio +async def test_get_camera_watcher_mapping_runtime_only(): + # No redis, empty runtime mapping + async def empty_load(_=None): + return {} + with patch("api.router.get_enabled_cameras", return_value={"garage": True}), \ + patch("service.redis_store.load_camera_watcher_mapping", empty_load): + data = await get_camera_watcher_mapping() + assert data["mapping"] == {"garage": True} + + +@pytest.mark.asyncio +async def test_set_camera_watchers_persists_and_returns(): + fake_save = AsyncMock() + fake_load = AsyncMock(return_value={}) + with patch("service.directory_watcher.save_camera_watcher_mapping", fake_save), \ + patch("service.directory_watcher._ensure_watcher_running"), \ + patch("service.directory_watcher._initial_scan_for_cameras"), \ + patch("service.directory_watcher._enabled_cameras", {}): + req = CameraWatcherRequest(cameras=[{"garage": True}, {"livingroom": False}]) + # Directly call underlying function through router wrapper + from api.router import set_camera_watchers as endpoint + resp = await endpoint(req) + assert "mapping" in resp + assert resp["mapping"]["garage"] is True + assert resp["mapping"]["livingroom"] is False + assert set(resp["enabled"]) == {"garage"} + + +@pytest.mark.asyncio +async def test_get_camera_watcher_mapping_merges_redis(monkeypatch): + async def fake_load(_=None): + return {"garage": False, "livingroom": True} + # Patch redis loader where it's imported inside router (service.redis_store) + with patch("service.redis_store.load_camera_watcher_mapping", fake_load), \ + patch("api.router.get_enabled_cameras", return_value={"garage": True, "backyard": True}): + data = await get_camera_watcher_mapping() + # persisted garage False overridden by runtime True; livingroom from redis; backyard from runtime + assert data["mapping"] == {"garage": True, "livingroom": True, "backyard": True} diff --git a/metro-ai-suite/smart-nvr/src/utils/common.py b/metro-ai-suite/smart-nvr/src/utils/common.py new file mode 100644 index 000000000..620cbf0f3 --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/utils/common.py @@ -0,0 +1,50 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""Minimal settings + logger used by the directory watcher & upload pipeline. + +This trims unrelated search/index/embedding configuration to reduce noise. +Extend cautiously if new watcher features require more settings. +""" + +import logging +import os +from pydantic import Field +from dotenv import load_dotenv + +try: # Prefer pydantic-settings if present + from pydantic_settings import BaseSettings # type: ignore +except ImportError: # Fallback + from pydantic import BaseSettings # type: ignore + + +LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO").upper() +logging.basicConfig(level=LOG_LEVEL, format="%(asctime)s - %(levelname)s - %(message)s") +logger = logging.getLogger("watcher") + +env_path = os.path.join(os.path.dirname(__file__), "../../", ".env") +if os.path.exists(env_path): + load_dotenv(env_path) + logger.debug(f"Loaded environment variables from {env_path}") + + +class Settings(BaseSettings): + # Core watcher paths + WATCH_DIRECTORY_CONTAINER_PATH: str = Field(default="/media/frigate/recordings", env="WATCH_DIRECTORY_CONTAINER_PATH") + WATCH_DIRECTORY_CONTAINER_PATHS: str = Field(default="", env="WATCH_DIRECTORY_CONTAINER_PATHS") + # Debounce + deletion behavior + DEBOUNCE_TIME: int = Field(default=5, env="DEBOUNCE_TIME") + DELETE_PROCESSED_FILES: bool = Field(default=False, env="DELETE_PROCESSED_FILES") + WATCH_DIRECTORY_RECURSIVE: bool = Field(default=False, env="WATCH_DIRECTORY_RECURSIVE") + # Upload target (Video Search / embeddings service) + VIDEO_UPLOAD_ENDPOINT: str = Field(default="", env="VSS_SEARCH_IP") + # Proxy control (trimmed to only what upload code references) + no_proxy_env: str = Field(default="", env="no_proxy_env") + + +settings = Settings() +logger.debug(f"Active settings (trimmed): {settings.dict()}") + + +class ErrorMessages: + WATCHER_LAST_UPDATED_ERROR = "Error in getting watcher last updated timestamp" \ No newline at end of file diff --git a/metro-ai-suite/smart-nvr/src/utils/utils.py b/metro-ai-suite/smart-nvr/src/utils/utils.py new file mode 100644 index 000000000..ed2ca12ad --- /dev/null +++ b/metro-ai-suite/smart-nvr/src/utils/utils.py @@ -0,0 +1,126 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import os +import re +import time +import requests +from utils.common import logger, settings + +try: # Keep backward compatibility if VSS_SEARCH_URL still defined elsewhere + from config import VSS_SEARCH_URL # type: ignore +except Exception: + # Fallback: derive from VIDEO_UPLOAD_ENDPOINT if present + VSS_SEARCH_URL = settings.VIDEO_UPLOAD_ENDPOINT or "" + +uploaded_files = set() + + +def sanitize_file_path(file_path): + file_name = os.path.basename(file_path) + sanitized_name = re.sub(r"[^a-zA-Z0-9_\-./]", "_", file_name) + return sanitized_name + + + +def upload_single_video_with_retry(file_path, max_retries=3): + """Upload a single video with retry mechanism""" + retry_count = 1 + sanitized_name = sanitize_file_path(file_path) + file_size = None + try: + file_size = os.path.getsize(file_path) + except Exception: + pass + logger.info(f"[Upload] Starting upload attempts for {file_path} (sanitized='{sanitized_name}' size={file_size})") + + while retry_count < max_retries: + try: + with open(file_path, "rb") as file: + logger.debug(f"Upload target base: {VSS_SEARCH_URL}") + # Step 1: Upload video to get ID + upload_response = requests.post( + f"{VSS_SEARCH_URL}/manager/videos/", + files={"video": (sanitized_name, file, "video/mp4")}, + ) + upload_response.raise_for_status() + + # Extract video ID from response + video_data = upload_response.json() + video_id = video_data.get("videoId") + if not video_id: + raise ValueError("No video ID returned from upload") + + logger.info(f"[Upload] Uploaded {file_path} -> videoId={video_id}") + + # Step 2: Process video for search embeddings + embedding_response = requests.post( + f"{VSS_SEARCH_URL}/manager/videos/search-embeddings/{video_id}", + ) + embedding_response.raise_for_status() + + logger.info(f"[Upload] Search embeddings processed for videoId={video_id} ({file_path})") + return True # Successfully processed + except (requests.exceptions.HTTPError, Exception) as e: + retry_count += 1 + + # Determine if we should retry or exit + if retry_count > max_retries: + # Log error with additional context for HTTP errors + if isinstance(e, requests.exceptions.HTTPError): + status_code = ( + e.response.status_code if hasattr(e, "response") else "unknown" + ) + logger.error( + f"HTTP error {status_code} occurred while processing {file_path} after {max_retries} retries: {str(e)}" + ) + else: + logger.error( + f"Error occurred while processing {file_path} after {max_retries} retries: {str(e)}" + ) + return False + + # Calculate backoff time and retry + backoff_time = 2**retry_count # Exponential backoff 2,4,8,... + error_type = ( + "HTTP error" + if isinstance(e, requests.exceptions.HTTPError) + else "Error" + ) + logger.warning(f"[Upload] {error_type} attempt {retry_count-1}/{max_retries} for {file_path}: {str(e)} | retrying in {backoff_time}s") + time.sleep(backoff_time) + + # This should never be reached due to the return statements above, but adding as a safety measure + return False + + +def upload_videos_to_dataprep(file_paths): + start_batch = time.time() + logger.info(f"[Upload] Starting batch upload of {len(file_paths)} files") + all_success = True + processed = 0 + skipped = 0 + for file_path in file_paths: + if file_path in uploaded_files: + skipped += 1 + logger.debug(f"[Upload] Skipping already uploaded file {file_path}") + continue + single_start = time.time() + success = upload_single_video_with_retry(file_path) + elapsed_single = time.time() - single_start + if success: + processed += 1 + uploaded_files.add(file_path) + logger.info(f"[Upload] Completed upload for {file_path} in {elapsed_single:.2f}s (progress {processed}/{len(file_paths)})") + if settings.DELETE_PROCESSED_FILES: + try: + os.remove(file_path) + logger.info(f"[Upload] Deleted processed file {file_path}") + except Exception as del_err: + logger.warning(f"[Upload] Failed to delete {file_path}: {del_err}") + else: + all_success = False + logger.error(f"[Upload] Failed upload for {file_path} after retries (elapsed {elapsed_single:.2f}s)") + batch_elapsed = time.time() - start_batch + logger.info(f"[Upload] Batch complete: success={all_success} processed={processed} skipped={skipped} total={len(file_paths)} elapsed={batch_elapsed:.2f}s") + return all_success \ No newline at end of file diff --git a/metro-ai-suite/smart-nvr/ui/interface/interface.py b/metro-ai-suite/smart-nvr/ui/interface/interface.py index 7b694c1b7..cb9a950ec 100644 --- a/metro-ai-suite/smart-nvr/ui/interface/interface.py +++ b/metro-ai-suite/smart-nvr/ui/interface/interface.py @@ -9,6 +9,7 @@ import logging from services.api_client import ( fetch_cameras, + fetch_cameras_with_labels, fetch_events, add_rule, fetch_rule_responses, @@ -16,6 +17,8 @@ delete_rule_by_id, fetch_search_responses, fetch_summary_status, + fetch_camera_watcher_mapping, + submit_camera_watcher_mapping, ) from services.video_processor import process_video from services.event_utils import display_events @@ -47,61 +50,6 @@ def stop_event_updates(): event_update_thread.join(timeout=2) logger.info("Event update thread stopped.") - -def cleanup_temp_files(): - """Clean up temporary MP4 files older than 1 hour.""" - logger.info("Cleaning up temp .mp4 files...") - try: - temp_dir = tempfile.gettempdir() - for file in os.listdir(temp_dir): - if file.endswith(".mp4"): - full_path = os.path.join(temp_dir, file) - age = time.time() - os.path.getmtime(full_path) - if age > 3600: - os.remove(full_path) - logger.info(f"Deleted: {full_path}") - except Exception as e: - logger.error(f"Failed to clean temp files: {e}") - - -def render_rule_rows(rules, response_output): - """Render rows of rules with delete buttons.""" - with gr.Column() as rule_column: - for rule in rules: - rule_id_state = gr.State(rule["id"]) # Hold rule ID as state - - with gr.Row(): - gr.Textbox( - value=rule["id"], label="ID", interactive=False, show_label=False - ) - gr.Textbox( - value=rule.get("camera", ""), - label="Camera", - interactive=False, - show_label=False, - ) - gr.Textbox( - value=rule.get("label", ""), - label="Label", - interactive=False, - show_label=False, - ) - gr.Textbox( - value=rule.get("action", ""), - label="Action", - interactive=False, - show_label=False, - ) - - delete_btn = gr.Button("❌ Delete") - delete_btn.click( - fn=delete_rule_by_id, - inputs=[rule_id_state], # 👈 Pass the rule ID - outputs=[response_output], - ) - return rule_column - - polling_threads = {} @@ -267,7 +215,8 @@ def wrapper_fn( if action == "Summarize": raw_summary = result_dict.get("summary_id") summary_id = extract_summary_id(raw_summary) - logger.info("Extracted Summary ID:", summary_id) + # Use proper logging formatting to avoid TypeError during tests + logger.info("Extracted Summary ID: %s", summary_id) return ( result_dict, @@ -330,8 +279,23 @@ def auto_refresh_summary_status(summary_id): def create_ui(): show_genai_tab = os.getenv("NVR_GENAI", "false").lower() == "true" time.sleep(5) # Ensure the environment is fully initialized - camera_data = fetch_cameras() - camera_list = list(camera_data.keys()) + # Prefer enriched labels-aware fetch; fall back to simple list on error + camera_list, camera_labels_map = fetch_cameras_with_labels() + if not camera_list: + # Fallback path (older behavior) + camera_data = fetch_cameras() + if isinstance(camera_data, list): + camera_list = camera_data + camera_labels_map = {c: [] for c in camera_list} + elif isinstance(camera_data, dict): + camera_list = list(camera_data.keys()) + camera_labels_map = {k: (v if isinstance(v, list) else []) for k, v in camera_data.items()} + else: + logger.warning( + f"Unexpected camera_data type {type(camera_data)} from fetch_cameras(); defaulting to empty list" + ) + camera_list = [] + camera_labels_map = {} recent_events = [] def get_labels_for_camera(camera_name): # Dummy example mapping camera to labels @@ -339,9 +303,9 @@ def get_labels_for_camera(camera_name): "Front Gate": ["person", "car", "dog"], "Backyard": ["cat", "person"], } - - labels = camera_data.get(camera_name, []) - + labels = camera_labels_map.get(camera_name, []) if camera_labels_map else [] + if not labels: # fallback to example mapping + labels = camera_to_labels.get(camera_name, []) return gr.update(choices=labels, value=None) def format_summary_responses(): @@ -474,6 +438,105 @@ def format_search_responses(): outputs=[status_output, toast_output, close_toast_btn], ) + # Tab 2: Configure Camera Streaming (enable/disable watcher per camera) + with gr.TabItem("Configure Camera Streaming"): + gr.Markdown("### Enable / Disable Cameras for Continuous Streaming ") + gr.Markdown("Select the cameras you want the backend watcher to process.") + # Fetch and normalize mapping (strip whitespace in keys for safety) + current_mapping = fetch_camera_watcher_mapping() + normalized_mapping = {str(k).strip(): v for k, v in (current_mapping or {}).items()} + # Pre-select cameras explicitly enabled (True) + preselected = [c for c in camera_list if normalized_mapping.get(str(c).strip()) is True] + + with gr.Row(): + with gr.Column(scale=4): + camera_selector = gr.CheckboxGroup( + choices=camera_list, + value=preselected, + label="Enabled Cameras" + ) + with gr.Column(scale=1, min_width=120): + with gr.Row(): + submit_cameras_btn = gr.Button( + "Submit", + elem_id="submit-cameras-btn", + variant="primary" + ) + with gr.Row(): + refresh_cameras_btn = gr.Button( + "Refresh", + elem_id="refresh-cameras-btn", + variant="secondary", + size="sm" + ) + + # Style the submit button to appear smaller + gr.HTML( + """ + + """ + ) + + # Popup-style status (auto hide) using Markdown for simple formatting + camera_save_status = gr.Markdown(visible=False) + + def submit_camera_config(selected): + selected = selected or [] + resp = submit_camera_watcher_mapping(selected, camera_list) + if "error" in resp: + # Show then auto-hide + yield gr.update(value=f"❌ {resp['error']}", visible=True) + time.sleep(5) + yield gr.update(visible=False) + return + enabled = resp.get("enabled", []) + disabled = resp.get("disabled", []) + msg = f"✅ Updated. Enabled: {enabled} | Disabled: {disabled}" + yield gr.update(value=msg, visible=True) + time.sleep(5) + yield gr.update(visible=False) + + # Submit selection; keep handle to chain a post-refresh + submit_event = submit_cameras_btn.click( + fn=submit_camera_config, + inputs=[camera_selector], + outputs=[camera_save_status] + ) + + def refresh_camera_selector_only(): + """Fetch latest mapping and update only selector values. + Avoids overwriting the status message (unlike full refresh).""" + mapping = fetch_camera_watcher_mapping() or {} + norm = {str(k).strip(): v for k, v in mapping.items()} + new_selected = [c for c in camera_list if norm.get(str(c).strip()) is True] + return gr.update(value=new_selected) + + # After submit finishes (generator completes), refresh the selector so it never shows stale state + submit_event.then( + fn=refresh_camera_selector_only, + inputs=[], + outputs=[camera_selector] + ) + + def refresh_camera_mapping(): + mapping = fetch_camera_watcher_mapping() or {} + norm = {str(k).strip(): v for k, v in mapping.items()} + new_selected = [c for c in camera_list if norm.get(str(c).strip()) is True] + return gr.update(value=new_selected), gr.update(value=f"🔄 Refreshed mapping. Enabled: {new_selected}", visible=True) + + refresh_cameras_btn.click( + fn=refresh_camera_mapping, + inputs=[], + outputs=[camera_selector, camera_save_status] + ) + if show_genai_tab: # Tab 2: AI-Powered Event Viewer with gr.TabItem("AI-Powered Event Viewer") as event_viewer_tab: diff --git a/metro-ai-suite/smart-nvr/ui/main.py b/metro-ai-suite/smart-nvr/ui/main.py index 838f50ecc..2909c3e0d 100644 --- a/metro-ai-suite/smart-nvr/ui/main.py +++ b/metro-ai-suite/smart-nvr/ui/main.py @@ -6,8 +6,9 @@ """ import logging -from interface.interface import create_ui -from interface.interface import initialize_app, stop_event_updates, cleanup_temp_files +# Use relative imports so tests importing ui.main from repo root work reliably +from .interface.interface import create_ui +from .interface.interface import initialize_app, stop_event_updates # Configure logging logging.basicConfig( diff --git a/metro-ai-suite/smart-nvr/ui/services/api_client.py b/metro-ai-suite/smart-nvr/ui/services/api_client.py index bd8ec93ad..5e2b4df66 100644 --- a/metro-ai-suite/smart-nvr/ui/services/api_client.py +++ b/metro-ai-suite/smart-nvr/ui/services/api_client.py @@ -5,19 +5,111 @@ import uuid import hashlib import requests -from typing import List, Dict, Optional +from typing import List, Dict, Optional, Union -def fetch_cameras() -> Dict[str, List[str]]: +def fetch_cameras() -> List[str]: + """Fetch camera names from backend. + + Supported backend shapes: + 1. {"cameras": ["cam1", "cam2", ...]} + 2. {"cameras": {"cam1": {...}, "cam2": {...}}} + 3. Plain list ["cam1", "cam2", ...] + 4. Mapping {"cam1": {...}, "cam2": {...}} (legacy FrigateService get_camera_names) + """ try: response = requests.get(f"{API_BASE_URL}/cameras", timeout=10) response.raise_for_status() - return response.json() + data = response.json() + # Shape 1 or 2 + if isinstance(data, dict) and "cameras" in data: + cams = data["cameras"] + if isinstance(cams, list): + return cams + if isinstance(cams, dict): + return list(cams.keys()) + return [] + # Shape 3 + if isinstance(data, list): + return data + # Shape 4 (mapping directly) + if isinstance(data, dict): + return list(data.keys()) + logger.warning(f"Unexpected /cameras payload type: {type(data)} -> {data}") + return [] except Exception as e: logger.error(f"Error fetching cameras: {e}") + return [] + + +def fetch_cameras_with_labels() -> (List[str], Dict[str, List[str]]): + """Fetch cameras and preserve label lists if backend provides them. + + Returns: + (camera_names, camera_labels_map) + camera_labels_map: mapping camera_name -> list of labels (empty list if unknown) + """ + try: + response = requests.get(f"{API_BASE_URL}/cameras", timeout=10) + response.raise_for_status() + data = response.json() + + # Case A: {"cameras": {...}} where value is mapping + if isinstance(data, dict) and "cameras" in data and isinstance(data["cameras"], dict): + mapping = data["cameras"] + names = list(mapping.keys()) + normalized = {k: (v if isinstance(v, list) else []) for k, v in mapping.items()} + return names, normalized + # Case B: {"cameras": [...]} simple list + if isinstance(data, dict) and "cameras" in data and isinstance(data["cameras"], list): + names = data["cameras"] + return names, {n: [] for n in names} + # Case C: plain mapping name -> labels list + if isinstance(data, dict): + names = list(data.keys()) + normalized = {k: (v if isinstance(v, list) else []) for k, v in data.items()} + return names, normalized + # Case D: plain list + if isinstance(data, list): + return data, {n: [] for n in data} + logger.warning(f"Unexpected /cameras payload type for labels: {type(data)} -> {data}") + return [], {} + except Exception as e: + logger.error(f"Error fetching cameras with labels: {e}") + return [], {} + + +def fetch_camera_watcher_mapping() -> Dict[str, bool]: + """Return current enabled/disabled mapping for cameras (empty dict on failure).""" + try: + resp = requests.get(f"{API_BASE_URL}/watchers/mapping", timeout=10) + resp.raise_for_status() + data = resp.json() or {} + return data.get("mapping", {}) or {} + except Exception as e: + logger.error(f"Error fetching camera watcher mapping: {e}") return {} +def submit_camera_watcher_mapping(enabled_list: List[str], all_cameras: List[str]) -> Dict: + """Submit updated mapping to backend. + + Args: + enabled_list: list of camera names user selected as enabled. + all_cameras: full list of cameras (to send disabled ones explicitly). + Returns: server response dict (or {'error': ...}). + """ + payload = {"cameras": [{c: (c in enabled_list)} for c in all_cameras]} + try: + resp = requests.post(f"{API_BASE_URL}/watchers/enable", json=payload, timeout=15) + if resp.status_code == 200: + return resp.json() + return {"error": f"Status {resp.status_code}: {resp.text}"} + except Exception as e: + logger.error(f"Error submitting watcher mapping: {e}") + return {"error": str(e)} + + def fetch_events(camera_name): try: response = requests.get( diff --git a/metro-ai-suite/smart-nvr/ui/services/video_processor.py b/metro-ai-suite/smart-nvr/ui/services/video_processor.py index 9c3743828..1948eca6d 100644 --- a/metro-ai-suite/smart-nvr/ui/services/video_processor.py +++ b/metro-ai-suite/smart-nvr/ui/services/video_processor.py @@ -31,24 +31,34 @@ def parse_input_to_timestamp(input_val, label): def process_video(camera_name, start_dt, duration_seconds, action, label=None): + """Process a video summarization or search request. + + start_dt may be: + - datetime (naive or tz-aware) + - int/float epoch seconds + """ try: - logger.info(f"Start time (local): {start_dt}") - logger.info(f"Start time tzinfo: {getattr(start_dt, 'tzinfo', 'None')}") + # Normalize start_dt + if isinstance(start_dt, (int, float)): + start_dt = datetime.fromtimestamp(start_dt, tz=pytz.utc).astimezone(IST) + elif isinstance(start_dt, datetime): + if start_dt.tzinfo is None: + logger.warning("start_dt has no timezone info; assuming IST.") + start_dt = IST.localize(start_dt) + else: + start_dt = start_dt.astimezone(IST) + else: + return {"status": "error", "message": "Invalid start time type"} - # Optional: warn if datetime is naive - if start_dt.tzinfo is None: - logger.warning("start_dt has no timezone info; assuming server's local time.") + logger.info(f"Normalized start_dt: {start_dt} tz={start_dt.tzinfo}") - # Compute end time by adding duration - end_dt = start_dt + timedelta(seconds=duration_seconds) + if duration_seconds <= 0: + return {"status": "error", "message": "End time must be after start time"} - # Convert to timestamps (based on whatever timezone start_dt uses — could be naive/local or aware) + end_dt = start_dt + timedelta(seconds=duration_seconds) start_time = int(start_dt.timestamp()) end_time = int(end_dt.timestamp()) - logger.info(f"Start timestamp: {start_time} ({start_dt})") - logger.info(f"End timestamp: {end_time} ({end_dt})") - if start_time >= end_time: return {"status": "error", "message": "End time must be after start time"} @@ -61,10 +71,8 @@ def process_video(camera_name, start_dt, duration_seconds, action, label=None): response.raise_for_status() result = response.json() if result.get("status") != 200: - logger.info(result) return {"status": "Failed", "message": result.get("message")} return {"status": "success", "summary_id": result.get("message")} - elif action == "Add to Search": response = requests.get( f"{API_BASE_URL}/search-embeddings/{camera_name}", @@ -74,13 +82,10 @@ def process_video(camera_name, start_dt, duration_seconds, action, label=None): response.raise_for_status() result = response.json() if result.get("status") != 200: - logger.info(result) return {"status": "Failed", "message": result.get("message")} return {"status": "success", "response": result.get("message")} - else: return {"status": "error", "message": "Unknown action"} - except Exception as e: logger.error(f"Video processing failed: {e}", exc_info=True) return {"status": "error", "message": str(e)} diff --git a/metro-ai-suite/smart-nvr/ui/test/test_common.py b/metro-ai-suite/smart-nvr/ui/test/test_common.py new file mode 100644 index 000000000..fa02b7792 --- /dev/null +++ b/metro-ai-suite/smart-nvr/ui/test/test_common.py @@ -0,0 +1,57 @@ +import os +import tempfile +import time +import sys +import importlib +import logging + +# --- Test-only shim --------------------------------------------------------- +# The ui.utils.common module imports `from config import logger`, but the backend +# `src/config.py` (found earlier on sys.path) does not define a logger symbol. +# Instead of altering production code, we inject a logger attribute into the +# loaded config module (or alias ui.config) before importing common. +try: + backend_config = importlib.import_module("config") # may resolve to src/config + if not hasattr(backend_config, "logger"): + logging.basicConfig(level=logging.INFO) + backend_config.logger = logging.getLogger("injected-test-logger") +except ImportError: + # Fall back to ui.config and register it as 'config' + ui_config = importlib.import_module("ui.config") + sys.modules["config"] = ui_config + +from ui.utils import common # noqa: E402 (import after shim) + + +def test_cleanup_temp_files_deletes_old_mp4(monkeypatch, tmp_path): + # Arrange: create a fake temp dir with an old mp4 and a recent mp4 + old_file = tmp_path / "old_clip.mp4" + recent_file = tmp_path / "recent_clip.mp4" + other_file = tmp_path / "note.txt" + + old_file.write_text("old") + recent_file.write_text("new") + other_file.write_text("ignore") + + # Set mtime: old file older than 1h (3600s) + now = time.time() + os.utime(old_file, (now - 4000, now - 4000)) + os.utime(recent_file, (now - 100, now - 100)) + + # Monkeypatch gettempdir to return our temp path + monkeypatch.setattr(tempfile, "gettempdir", lambda: str(tmp_path)) + + # Act + common.cleanup_temp_files() + + # Assert + assert not old_file.exists(), "Old mp4 should be deleted" + assert recent_file.exists(), "Recent mp4 should NOT be deleted" + assert other_file.exists(), "Non-mp4 files should be ignored" + + +def test_cleanup_temp_files_handles_exception(monkeypatch): + # Force os.listdir to raise + monkeypatch.setattr(os, "listdir", lambda *_: (_ for _ in ()).throw(RuntimeError("boom"))) + # Should not raise + common.cleanup_temp_files() diff --git a/metro-ai-suite/smart-nvr/ui/test/test_interface.py b/metro-ai-suite/smart-nvr/ui/test/test_interface.py new file mode 100644 index 000000000..92f7b2e5c --- /dev/null +++ b/metro-ai-suite/smart-nvr/ui/test/test_interface.py @@ -0,0 +1,116 @@ +import types +import threading +from datetime import datetime, timedelta +import sys +import importlib + +import gradio as gr +import pytest + +# --- Test shim to satisfy interface.py absolute imports -------------------- +# interface.py uses un-namespaced imports like `from services.api_client import ...` +# In normal runtime the working directory is `ui/` so Python resolves `services`. +# During test collection from repo root, `services` isn't on sys.path and import fails. +# We map the real ui.services.* modules into a synthetic top-level `services` package. +services_pkg = types.ModuleType("services") +sys.modules.setdefault("services", services_pkg) + +for sub in [ + "api_client", + "video_processor", + "event_utils", +]: + try: + real_mod = importlib.import_module(f"ui.services.{sub}") + sys.modules[f"services.{sub}"] = real_mod + setattr(services_pkg, sub, real_mod) + except ImportError: + # If a particular submodule is missing we let tests fail later with clearer context + pass + +from ui.interface import interface as iface # noqa: E402 (import after shim) + + +class DummyStatusOutput: + """Lightweight stand-in for a Gradio component for unit testing logic branches.""" + def __init__(self): + self.value = None + + +def _get_update_value(obj): + """Helper to normalize gr.update(...) return objects. + + In Gradio, gr.update returns a plain dict like {"value": ..., "visible": ...}. + Older tests assumed an object with a .value attribute. This helper safely + extracts the intended 'value' field for assertions. + """ + if isinstance(obj, dict): + return obj.get("value", "") or "" + return getattr(obj, "value", "") or "" + + +def test_extract_summary_id(): + assert iface.extract_summary_id(None) is None + assert iface.extract_summary_id({"abc": 1}) == "abc" + assert iface.extract_summary_id("xyz") == "xyz" + + +def test_wrapper_fn_invalid_future_start(): + future = datetime.now() + timedelta(minutes=5) + result = iface.wrapper_fn( + camera="cam1", + start=future, + duration=10, + action="Summarize", + status_output_box=DummyStatusOutput(), + previous_summary_id=None, + ) + # result[1] is a gr.update() dict; assert error marker in its value + assert _get_update_value(result[1]).startswith("❌ Error: Start time cannot be in the future") + + +def test_wrapper_fn_invalid_duration(): + past = datetime.now() - timedelta(minutes=5) + result = iface.wrapper_fn( + camera="cam1", + start=past, + duration=0, + action="Summarize", + status_output_box=DummyStatusOutput(), + previous_summary_id=None, + ) + assert "Duration must be a number" in _get_update_value(result[1]) + + +def test_wrapper_fn_duration_end_in_future(): + now = datetime.now() + start = now - timedelta(seconds=5) + # duration pushes end time slightly into future + result = iface.wrapper_fn( + camera="cam1", + start=start, + duration=400000, # huge, ensures future end + action="Summarize", + status_output_box=DummyStatusOutput(), + previous_summary_id=None, + ) + assert "End time (start + duration) cannot be in the future" in _get_update_value(result[1]) + + +@pytest.mark.parametrize("invalid_start", [123.456, 123, object()]) +def test_wrapper_fn_invalid_start_formats(invalid_start): + # Force object path to invalid by wrapping an object not datetime/float/int accepted path rules + result = iface.wrapper_fn( + camera="cam1", + start=invalid_start, + duration=10, + action="Summarize", + status_output_box=DummyStatusOutput(), + previous_summary_id=None, + ) + # For int/float wrapper converts to datetime, so only generic object yields error + if isinstance(invalid_start, (int, float)): + # Accepts conversion path; ensure no generic invalid format message + assert not _get_update_value(result[1]).startswith("❌ Error: Invalid start time format") + else: + assert _get_update_value(result[1]).startswith("❌ Error: Invalid start time format") diff --git a/metro-ai-suite/smart-nvr/ui/test/test_interface_extra.py b/metro-ai-suite/smart-nvr/ui/test/test_interface_extra.py new file mode 100644 index 000000000..b3e81f24e --- /dev/null +++ b/metro-ai-suite/smart-nvr/ui/test/test_interface_extra.py @@ -0,0 +1,104 @@ +"""Additional tests for interface module functions (polling, processing).""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import pytest +import threading +import types +from datetime import datetime, timedelta + +import ui.interface.interface as iface + + +@pytest.fixture(autouse=True) +def no_sleep(monkeypatch): + monkeypatch.setattr(iface.time, "sleep", lambda *a, **k: None, raising=False) + + +def test_refresh_summary_status_dict(monkeypatch): + monkeypatch.setattr(iface, "fetch_summary_status", lambda sid: {"status": "ok", "value": 42}) + md, toast_hide, close_hide = iface.refresh_summary_status("sum1") + assert "Summary ID" in md + assert toast_hide["visible"] is False + assert close_hide["visible"] is False + + +def test_refresh_summary_status_string_json(monkeypatch): + import json + monkeypatch.setattr(iface, "fetch_summary_status", lambda sid: json.dumps({"status": "ok"})) + md, _, _ = iface.refresh_summary_status("sum2") + assert "```json" in md + + +def test_refresh_summary_status_error(monkeypatch): + monkeypatch.setattr(iface, "fetch_summary_status", lambda sid: (_ for _ in ()).throw(RuntimeError("boom"))) + md, toast_show, close_show = iface.refresh_summary_status("sum3") + assert "Error fetching status" in md + assert toast_show["visible"] is True + assert close_show["visible"] is True + + +def test_wrapper_fn_success(monkeypatch): + # Provide a fake process_and_poll that returns a successful summarize result + def fake_process_and_poll(camera, start, duration, action, status_output): + return {"status": "success", "summary_id": {"abc": 1}, "message": "All good"} + monkeypatch.setattr(iface, "process_and_poll", fake_process_and_poll) + now = datetime.now() - timedelta(minutes=1) + result, toast, close_btn, summary_id, status_output, polling_enabled = iface.wrapper_fn( + camera="cam1", + start=now, + duration=10, + action="Summarize", + status_output_box=None, + previous_summary_id=None, + ) + assert result["status"] == "success" + assert summary_id == "abc" + assert polling_enabled is True + assert "All good" in toast["value"] + + +def test_process_and_poll_add_to_search(monkeypatch): + # process_video returns a dict w/o starting thread + monkeypatch.setattr(iface, "process_video", lambda *a, **k: {"status": "success", "summary_id": {"xyz": 1}, "message": "indexed"}) + out = iface.process_and_poll("cam1", datetime.now(), 5, "Add to Search", None) + assert out["message"] == "indexed" + + +def test_process_and_poll_summarize_thread_spawn(monkeypatch): + # Track if thread would be started + started = {} + + class DummyThread: + def __init__(self, target, args, daemon): + self._target = target + self._args = args + self._daemon = daemon + def start(self): + started["started"] = True + + monkeypatch.setattr(iface.threading, "Thread", DummyThread) + monkeypatch.setattr(iface, "process_video", lambda *a, **k: {"status": "success", "summary_id": {"s123": 1}, "message": "summarize"}) + # Prevent poll loop from sleeping long + monkeypatch.setattr(iface, "poll_summary_status", lambda *a, **k: None) + out = iface.process_and_poll("cam1", datetime.now(), 3, "Summarize", None) + assert out["message"] == "summarize" + assert started.get("started") is True + + +def test_poll_summary_status_single_iteration(monkeypatch): + # Ensure it breaks immediately with status completed + monkeypatch.setattr(iface, "fetch_summary_status", lambda sid: {"status": "completed", "x": 1}) + # Provide dummy status_output and stop_event + stop_event = types.SimpleNamespace(is_set=lambda: False) + iface.poll_summary_status("abc", None, stop_event) # Should return quickly without exception + + +def test_ui_builder_callable(monkeypatch): + # create_ui should build a Blocks object without launching the server + monkeypatch.setattr(iface, "fetch_cameras_with_labels", lambda: (["c1"], {"c1": ["person"]})) + monkeypatch.setattr(iface, "fetch_cameras", lambda: ["c1"]) # fallback not used + monkeypatch.setattr(iface, "fetch_camera_watcher_mapping", lambda: {"c1": True}) + monkeypatch.setattr(iface, "fetch_rule_responses", lambda: {}) + monkeypatch.setattr(iface, "fetch_search_responses", lambda: {}) + ui_obj = iface.create_ui() + assert ui_obj is not None diff --git a/metro-ai-suite/smart-nvr/ui/test/test_ui_main_entry.py b/metro-ai-suite/smart-nvr/ui/test/test_ui_main_entry.py new file mode 100644 index 000000000..9742c87a0 --- /dev/null +++ b/metro-ai-suite/smart-nvr/ui/test/test_ui_main_entry.py @@ -0,0 +1,44 @@ +"""Tests for UI main entry point launching Gradio app.""" +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import runpy +from unittest.mock import patch, MagicMock + + +def test_ui_main_import_only(monkeypatch): + """Ensure importing ui.main does not execute launch (since __name__ != '__main__').""" + # Patch heavy functions so even if imported side-effects minimize + monkeypatch = monkeypatch # explicit + monkeypatch.setattr("ui.main.initialize_app", lambda: None) + monkeypatch.setattr("ui.main.create_ui", lambda: MagicMock()) + module = runpy.run_module("ui.main") + # create_ui shouldn't have been called because __name__ != '__main__' + # Nothing to assert strongly here; absence of launch side effects is success. + assert "__name__" in module + + +def test_ui_main_dunder_main(monkeypatch): + calls = {} + + fake_ui = MagicMock() + fake_ui.launch = MagicMock(side_effect=lambda **k: calls.setdefault("launched", True)) + # IMPORTANT: patch the ORIGINAL definitions in ui.interface.interface because + # runpy.run_module("ui.main", run_name="__main__") re-executes ui.main and + # re-binds names from that module (fresh) to symbols imported FROM interface. + # If we only patch ui.main., those patches apply to the already-loaded + # module object, but the second execution creates a new module instance whose + # symbols point again at the original (unpatched) functions. Patching at the + # source module (ui.interface.interface) ensures the imported symbols are the + # patched versions during the re-execution. + monkeypatch.setattr("ui.interface.interface.initialize_app", lambda: calls.setdefault("initialized", True)) + monkeypatch.setattr("ui.interface.interface.create_ui", lambda: fake_ui) + monkeypatch.setattr("ui.interface.interface.stop_event_updates", lambda: calls.setdefault("stopped", True)) + # Also neutralize any sleeps inside interface (e.g., time.sleep(5) in create_ui) + monkeypatch.setattr("ui.interface.interface.time.sleep", lambda *a, **k: None, raising=False) + + runpy.run_module("ui.main", run_name="__main__") + + assert calls.get("initialized") + assert calls.get("launched") + assert calls.get("stopped") + fake_ui.launch.assert_called_once()